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  • 1.
    Advaita, Advaita
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Gali, Mani Meghala
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Performance Analysis of a MIMO Cognitive Cooperative Radio Network with Multiple AF Relays2016Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    With the rapid growth of wireless communications, the demand for the various multimedia services is increasing day by day leading to a deficit in the frequency spectrum resources. To overcome this problem, the concept of cognitive radio technology has been proposed which allows the unlicensed secondary user (SU) to access the licensed spectrum of the primary user (PU), thus improving the spectrum utilization. Cooperative communications is another emerging technology which is capable of overcoming many limitations in wireless systems by increasing reliability and coverage. The transmit and receive diversity techniques such as orthogonal space–time block codes (OSTBCs) and selection combining (SC) in multiple-input multiple-output (MIMO) cognitive amplify and forward relay networks help to reduce the effects of fading, increase reliability and extend radio coverage.

     

    In this thesis, we consider a MIMO cognitive cooperative radio network (CCRN) with multiple relays. The protocol used at the relays is an amplify and forward protocol. At the receiver, the SC technique is applied to combine the signals. Analytical expressions for the probability density function (PDF) and cumulative distribution function (CDF) of the signal-to-noise ratio (SNR) are derived. On this basis, the performance in terms of outage probability is obtained. Mathematica has been used to generate numerical results from the analytical expressions. The system model is simulated in MATLAB to verify the numerical results. The performance analysis of the system model is hence done in terms of outage probability.

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    BTH2016Advaita
  • 2.
    Aeddula, Omsri Kumar
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Automatic Image Based Positioning System2017Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Position of the vehicle is essential to navigate the vehicle along a desired path without any human interference. Global Positioning System (GPS) loses significant power due to signal attenuation caused by construction buildings. A good positioning system should have both good positioning accuracy and reliability. The purpose of this thesis is to implement a new positioning system using camera and examine the accuracy of the estimated vehicle position on a real-time scenario.

    The major focus of the thesis is to develop two algorithms for estimation of the position of the vehicle using a static camera and to evaluate the performance of the proposed algorithms.

    The proposed positioning system is based on two different processes. First process uses center of mass to estimate the position, while the second one utilizes gradient information to estimate the position of the vehicle.

    Two versions of the positioning systems are implemented. One version uses center of mass concept and background subtraction to estimate the position of the vehicle and the other version calculates gradients to estimate the position of the vehicle. Both algorithms are sensitive to point of view of the image i.e height of the camera. On comparing both algorithms, gradient based algorithm is less sensitive to the camera view.

    Finally, the performance is greater dependent on the height of the camera position for center of mass positioning system, as compared to the gradient positioning system but the accuracy of the systems can be improved by increasing the height of the camera. In terms of the speed of processing, the gradient positioning system is faster than the center of mass positioning system. The first algorithm, based on center of mass has 89.75\% accuracy with a standard deviation of 3 pixels and the second algorithm has an accuracy of 92.26\%. Accuracy of the system is estimated from the number of false detected positions.

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    fulltext
  • 3.
    Aerva, Manasa Reddy
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing. Axis Communications, Lund.
    Devendra Venkata Sai Mani, Chakradhar Ghantasala
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing. Axis Communications, Lund.
    Blue Cool Connectivity box2017Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    The invention of closed circuit television (CCTV) has initiated a new trend in high security by video surveillance. More recently, CCTV cameras have been incorporating wireless LAN technology for data transfer purposes by using on chip memory storage until the time of update.

    In this thesis, short range communication such as Bluetooth low energy (Bluetooth smart) is used in order to perform simple I/O applications. The two important components of the project are the camera and the Bluetooth module box. An external antenna is designed for the connectivity box and the operating range of the box is deduced by using link budget. The blue cool connectivity box is assessed by defining the capabilities of the box, i.e., simple I/O operations. Field test measurements for the designed antenna provide optimum communication range. The thesis also reviews software simulation tools that are essential for antenna design and path loss modelling. The efficiency of simulated measurements versus real-time measurements are also assessed. The primary target of the thesis is to detail the design of a cost-effective antenna based on link budget calculations and perform basic I/O tasks wirelessly between the blue cool connectivity box and the camera. It is concluded that in future works, advanced operations can be added on to the existing model. It is also suggested that a model for multi floor communication can be designed.

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    BTH2017Chakradhar
  • 4.
    Akbar, Mohamed Kazaludeen
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Performance Evaluation and Comparison of Coherent and Incoherent Receivers under Atmospheric Turbulence2014Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    Optical free space communication system faces the major challenge because of the atmospheric condition. Signals receive in the ground station using two different types of receivers (Coherent detection and Intensity Modulation and Direct Detection (IM/DD)). Coherent detection uses PIN photo detector in the receiver end to attain the more sensitivity of the receiver. It receives the input data as a carrier signal and the local oscillator signal is mixed with the received signal and down convert the carrier signal to an intermediate frequency signal. The Intensity Modulation direct detection uses the Avalanche photo detector in the receiver end to attain the more sensitivity. This detection receives the input signal as a carrier signal and it is directly demodulated at the receiver back into the original signal. Signals receive in the ground station from the aircraft will be affected by the various types of noise like shot noise, thermal noise, etc. The occurrence of noises in the coherent detection is not exactly same as the IM/DD. Some noise get varies according to the electrical circuit noise produced in the receiver side. By deriving the signal-to-noise ratio, the background noise occur in the desired signal can be calculated. One of the main goals would be to derive a Probability Density Function (PDF) of the Signal-to-Noise Ratio (SNR) of the each type of receiver to check the efficiency of the receivers. Transmitting the optical signal from aircraft will face some data loss problem due to atmospheric turbulence disturbances, to identify the loss arises in the transmitting signal will be done by using the probability error method. Bit Error Rate (BER) derivation will take place to calculate and to identify the data loss occurs in the received signal. The project deals with measuring the efficiency and sensitivity among those two optical receivers and to check the robustness between those receivers against scintillations (power fades and surges) effects. In this work performance of the coherent receiver and IM/DD receiver using APD is compared with the different system characteristics. Sensitivity and performance of both the receivers are calculated with the same fading vector. Signal to noise ratio and bit error rate are theoretically derived and numerically analyzed in the case of atmospheric turbulence. Numerical results predict the performance of both the receivers.

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    FULLTEXT01
  • 5.
    Al-Daghestani, Anas
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    AlKassem, Mahinour
    Graphical Programming and Implementation of the NI-7962 and NI-5781 FPGA Interface2016Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    FPGA systems can have a wide variety of applications within electrical engineering, product development, and prototyping. Their flexibility, low cost, and high performance have made it burst into the market with results that exceeded many expectations. National Instruments offers several software and hardware that integrate FPGA systems in their design and implementation. In this thesis work, a NI FPGA system is used along with LabVIEW myRIO 2014 software to run a graphical FPGA code, hence, identifying best practices that must be associated with using the software and the hardware of National Instruments FPGA interfaces and also compare different methods for programming, communication, and data conversion of the FPGA interfaces.   

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    BTH2016Al-Daghestani
  • 6.
    Aleti, Mahesh
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Syed, Rahamatulla
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Chennupati, Rajendra Prasad
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Fuzzy Based power control system Using ANFIS and MIMO-OFDM Techniques in Cognitive Radio Networks2014Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    Cognitive Radio technology is used for efficient utilization of the spectrum. There are two types of users, one is the Primary user (PU), and the second one is the Secondary user (SU). In those users, PU is having the license to use the spectrum. The SU does not have the license to use the spectrum. Cognitive Radio comprises of Spectrum sensing, Spectrum Management and Spectrum Mobility. In cognitive radio, optimal power control in spectrum sharing is main research issues. In the spectrum, sharing both PU and SU can access the spectrum simultaneously as long as there is no interference to PU’s of Quality of service (QOS). So we have to handle this interference to the PU and we have to improve the performance of the SU. For that power control is the main consternate to improve the performance of SU. In our thesis, we are divided into two parts, the first one is we used ANFIS (Adaptive Neuro Fuzzy Inference System) for optimizing power control in cognitive radio network Users (SU) by optimization of SNR & SINR at Primary User (PU) to maintain QOS of PU and improve the performance of SU and Channel capacity computation for various ISR tolerance levels at PU. In second part, we used implementation of MIMO (Multiple Input Multiple output)-OFDM (Orthogonal Frequency Division Multiplexing) transmission technique in CRN (Cognitive Radio networks) for it is use in emergency conditions where transmission requires reliability and high data rate. Then it is tested BER (Bit error rate) performance on MATLAB. Key words: Cognitive Radio, Power Control, the Fuzzy Interference System (FIS), ANFIS, “MIMO” (“Multiple Input Multiple Output”), “OFDM” (“Orthogonal Frequency Division Multiplexing”), AWGN, BER, SNR, Eb/N0

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    FULLTEXT01
  • 7.
    Alves, G.
    et al.
    Polytech Porto, PRT.
    Fidalgo, A.
    Polytech Porto, PRT.
    Marques, M.
    Polytech Porto, PRT.
    Viegas, M.
    Polytech Porto, PRT.
    Felgueiras, M.
    Polytech Porto, PRT.
    Costa, R.
    Polytech Porto, PRT.
    Lima, N.
    Polytech Porto, PRT.
    Kulesza, Wlodek
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing. Blekinge Inst Technol, Karlskrona, Sweden..
    Zubia, J.
    Univ Deusto, ESP.
    Castro, M.
    Natl Distance Educ Univ, ESP.
    Pester, A.
    Carinthia Univ Appl Sci, AUT.
    Pavani, A.
    Pontifical Catholic Univ Rio de Janeiro, BRA.
    Silva, J.
    Univ Fed Santa Catarina, BRA.
    Schlichting, L.
    Fed Inst Santa Catarina, BRA.
    Marchisio, S.
    Natl Univ Rosario, ARG.
    Fernandez, R.
    Natl Univ Santiago del Estero, ARG.
    Oliveira, V.
    Brazilian Assoc Engn Educ, BRA.
    Pozzo, M.
    Inst Rosario Invest Ciencias Educ, ARG..
    USING A 3-TIER TRAINING MODEL FOR EFFECTIVE EXCHANGE OF GOOD PRACTICES IN AN ERASMUS plus PROJECT2018In: 12TH INTERNATIONAL TECHNOLOGY, EDUCATION AND DEVELOPMENT CONFERENCE (INTED) / [ed] Chova, LG Martinez, AL Torres, IC, IATED-INT ASSOC TECHNOLOGY EDUCATION & DEVELOPMENT , 2018, p. 6392-6400Conference paper (Refereed)
    Abstract [en]

    VISIR+ is an Erasmus+ project that aims to develop educational modules for electric and electronic circuits theory and practice following an enquiry-based teaching and learning methodology. The project has installed five new VISIR remote labs in Higher Education Institutions located in Argentina and Brazil, to allow students doing more experiments and hence acquire better experimental skills, through a combination of traditional (hands-on), remote and virtual laboratories. A key aspect for the success of this project was to motivate and train teachers in the underpinning educational methodology. As such, VISIR+ adopted a 3-tier training process to effectively support the use of VISIR in the Institutions that received it. This process is based on the "train the trainer" approach, which required the participating partner institutions to identify and engage a number of associated partners, interested in using their newly installed remote lab. To measure the quality of the training process, the same satisfaction questionnaire was used in all training actions. This paper presents a detailed description of the training actions along with the analysis of the satisfaction questionnaire results. Major conclusions are that the quality level of the training process remained practically the same across all training actions and that trainees sometimes considered the practical use of the VISIR remote lab as difficult, irrespectively of where and when the training action took place.

  • 8.
    Alves, G. R.
    et al.
    Natércia Lima Polytechnic of Porto, PRT.
    Felgueiras, M.
    Natércia Lima Polytechnic of Porto, PRT.
    Viegas, C.
    Natércia Lima Polytechnic of Porto, PRT.
    Fidalgo, A.
    Natércia Lima Polytechnic of Porto, PRT.
    Castro, M.
    Universidad Nacional de Educación a Distancia, ESP.
    García-Zubía, J.
    niversidad de Deusto, ESP.
    Pester, A.
    Carinthia University of Applied Sciences, AUT.
    Pavani, A.
    Pontifícia Universidade Católica do Rio de Janeiro, BRA.
    Fernandez, R.
    Universidad Nacional de Santiago del Estero, ARG.
    Kulesza, Wlodek
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Pozzo, M. I.
    IRICE-CONICET, ARG.
    Oliveira, V.
    Universidade Federal de Juiz de Fora, BRA.
    Silva, J. B.
    Universidade Federal de Santa Catarina, BRA.
    Marchisio, S.
    Universidad Nacional de Rosario, ARG.
    Schlichting, L. C. M.
    nstituto Federal de Santa Catarina, BRA.
    A sustainable approach to let students do more real experiments with electrical and electronic circuits2018In: SIXTH INTERNATIONAL CONFERENCE ON TECHNOLOGICAL ECOSYSTEMS FOR ENHANCING MULTICULTURALITY (TEEM'18) / [ed] GarciaPenalvo, FJ, Association for Computing Machinery , 2018, p. 508-514Conference paper (Refereed)
    Abstract [en]

    The present paper focus on the use of remote laboratories in higher education from a sustainability viewpoint. The particular case of engineering education, and, within it, the more specific subject of experiments with electrical and electronic circuits is presented first, to then discuss the benefits of using remote labs, while considering the three dimensions of sustainable development, i.e.: economic practice, environmental protection, and social integration. The paper debates how remote labs address each dimension. © 2018 Copyright is held by the owner/author(s). Publication rights licensed to ACM.

  • 9.
    Alves, Gustavo R.
    et al.
    Polytechnic of Porto, Portugal.
    Fidalgo, André V.
    Polytechnic of Porto, Portugal.
    Marques, Maria A.
    Polytechnic of Porto, Portugal.
    Viegas, Maria C.
    Polytechnic of Porto, Portugal.
    Felgueiras, Manuel C.
    Polytechnic of Porto, Portugal.
    Costa, Ricardo J.
    Polytechnic of Porto, Portugal.
    Lima, Natércia
    Polytechnic of Porto, Portugal.
    Castro, Manuel
    National Distance Education University, Spain.
    Díaz-Orueta, Gabriel
    National Distance Education University, Spain.
    SanCristóbal-Ruiz, Elio
    National Distance Education University, Spain.
    García-Loro, Felix
    National Distance Education University, Spain.
    García-Zubía, Javier
    University of Deusto, Spain.
    Hernández-Jayo, Unai
    University of Deusto, Spain.
    Kulesza, Wlodek
    Blekinge Institute of Technology, Faculty of Engineering, Department of Mathematics and Natural Sciences.
    Gustavsson, Ingvar
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Nilsson, Kristian
    Blekinge Institute of Technology, Faculty of Computing, Department of Technology and Aesthetics.
    Zackrisson, Johan
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Pester, Andreas
    Carinthia University of Applied Sciences, Austria.
    Zutin, Danilo G.
    Carinthia University of Applied Sciences, Austria.
    Schlichting, Luis C.
    Federal Institute of Education, Science and Technology of Santa Catarina, Brazil.
    Ferreira, Golberi
    Federal Institute of Education, Science and Technology of Santa Catarina, Brazil.
    de Bona, Daniel D.
    Federal Institute of Education, Science and Technology of Santa Catarina, Brazil.
    Pacheco, Fernando S.
    Federal Institute of Education, Science and Technology of Santa Catarina, Brazil.
    da Silva, Juarez B.
    Federal Institute of Education, Science and Technology of Santa Catarina, Brazil.
    Alves, João B.
    Federal Institute of Education, Science and Technology of Santa Catarina, Brazil.
    Biléssimo, Simone
    Federal Institute of Education, Science and Technology of Santa Catarina, Brazil.
    Pavani, Ana M.
    Pontifical Catholic University of Rio de Janeiro, Brazil.
    Lima, Delberis A.
    Pontifical Catholic University of Rio de Janeiro, Brazil.
    Temporão, Guilherme
    Pontifical Catholic University of Rio de Janeiro, Brazil.
    Marchisio, Susana
    National University of Rosario, Argentina.
    Concari, Sonia B.
    National University of Rosario, Argentina.
    Lerro, Federico
    National University of Rosario, Argentina.
    de Arregui, Gaston S.
    National University of Rosario, Argentina.
    Merendino, Claudio
    National University of Rosario, Argentina.
    Plano, Miguel
    National University of Rosario, Argentina.
    Fernández, Rubén A.
    National University of Santiago del Estero, Argentina.
    Paz, Héctor R.
    National University of Santiago del Estero, Argentina.
    Soria, Mario F.
    National University of Santiago del Estero, Argentina.
    Gómez, Mario J.
    National University of Santiago del Estero, Argentina.
    de Almeida, Nival N.
    Brazilian Association of Engineering Education, Brazil.
    de Oliveira, Vanderli F.
    Brazilian Association of Engineering Education, Brazil.
    Pozzo, María I.
    Research Institute of Rosario in Educational Sciences, Argentina.
    Dobboletta, Elsa
    Research Institute of Rosario in Educational Sciences, Argentina.
    Bertramo, Brenda
    Research Institute of Rosario in Educational Sciences, Argentina.
    International Cooperation for Remote Laboratory Use2018In: Contributions to Higher Engineering Education / [ed] Maria M. Nascimento, Gustavo R. Alves, Eva Virgínia Araújo Morais, Springer, 2018, p. 1-31Chapter in book (Refereed)
    Abstract [en]

    Experimenting is fundamental to the training process of all scientists and engineers. While experiments have been traditionally done inside laboratories, the emergence of Information and Communication Technologies added two alternatives accessible anytime, anywhere. These two alternatives are known as virtual and remote laboratories and are sometimes indistinguishably referred as online laboratories. Similarly to other instructional technologies, virtual and remote laboratories require some effort from teachers in integrating them into curricula, taking into consideration several factors that affect their adoption (i.e., cost) and their educational effectiveness (i.e., benefit). This chapter analyzes these two dimensions and sustains the case where only through international cooperation it is possible to serve the large number of teachers and students involved in engineering education. It presents an example in the area of electrical and electronics engineering, based on a remote laboratory named Virtual Instruments System in Reality, and it then describes how a number of European and Latin American institutions have been cooperating under the scope of an Erasmus+ project, for spreading its use in Brazil and Argentina.

  • 10.
    Amin, Khizer
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Minhas, Mehmood ul haq
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Facebook Blocket with Unsupervised Learning2014Independent thesis Basic level (degree of Bachelor)Student thesis
    Abstract [en]

    The Internet has become a valuable channel for both business-to- consumer and business-to-business e-commerce. It has changed the way for many companies to manage the business. Every day, more and more companies are making their presence on Internet. Web sites are launched for online shopping as web shops or on-line stores are a popular means of goods distribution. The number of items sold through the internet has sprung up significantly in the past few years. Moreover, it has become a choice for customers to do shopping at their ease. Thus, the aim of this thesis is to design and implement a consumer to consumer application for Facebook, which is one of the largest social networking website. The application allows Facebook users to use their regular profile (on Facebook) to buy and sell goods or services through Facebook. As we already mentioned, there are many web shops such as eBay, Amazon, and applications like blocket on Facebook. However, none of them is directly interacting with the Facebook users, and all of them are using their own platform. Users may use the web shop link from their Facebook profile and will be redirected to web shop. On the other hand, most of the applications in Facebook use notification method to introduce themselves or they push their application on the Facebook pages. This application provides an opportunity to Facebook users to interact directly with other users and use the Facebook platform as a selling/buying point. The application is developed by using a modular approach. Initially a Python web framework, i.e., Django is used and association rule learning is applied for the classification of users’ advertisments. Apriori algorithm generates the rules, which are stored as separate text file. The rule file is further used to classify advertisements and is updated regularly.

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    FULLTEXT01
  • 11.
    Amir Asgari, Azadeh
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Robust Image Hash Spoofing2016Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    With the intensively increasing of digital media new challenges has been created for

    authentication and protection of digital intellectual property. A hash function extracts certain

    features of a multimedia object e.g. an image and maps it to a fixed string of bits. A perceptual

    hash function unlike normal cryptographic hash is change tolerant for image processing

    techniques. Perceptual hash function also referred to as robust hash, like any other algorithm is

    prone to errors. These errors are false negative and false positive, of which false positive error is

    neglected compared to false negative errors. False positive occurs when an unknown object is

    identified as known. In this work a new method for raising false alarms in robust hash function is

    devised for evaluation purposes i.e. this algorithm modifies hash key of a target image to

    resemble a different image’s hash key without any significant loss of quality to the modified

    image. This algorithm is implemented in MATLAB using block mean value based hash function

    and successfully reduces hamming distance between target image and modified image with a

    good result and without significant loss to attacked imaged quality.

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    BTH2016Asgari
  • 12.
    Ansari, Yousuf Hameed
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Siddiqui, Sohaib Ahmed
    Blekinge Institute of Technology, Faculty of Computing, Department of Communication Systems.
    Quality Assessment for HEVC Encoded Videos: Study of Transmission and Encoding Errors2016Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    There is a demand for video quality measurements in modern video applications specifically in wireless and mobile communication. In real time video streaming it is experienced that the quality of video becomes low due to different factors such as encoder and transmission errors. HEVC/H.265 is considered as one of the promising codecs for compression of ultra-high definition videos. In this research, full reference based video quality assessment is performed. The raw format reference videos have been taken from Texas database to make test videos data set. The videos are encoded using HM9 reference software in HEVC format. Encoding errors has been set during the encoding process by adjusting the QP values. To introduce packet loss in the video, the real-time environment has been created. Videos are sent from one system to another system over UDP protocol in NETCAT software. Packet loss is induced with different packet loss ratios into the video using NETEM software. After the compilation of video data set, to assess the video quality two kind of analysis has been performed on them. Subjective analysis has been carried on different human subjects. Objective analysis has been achieved by applying five quality matrices PSNR, SSIM, UIQI, VFI and VSNR. The comparison is conducted on the objective measurement scores with the subjective and in the end results deduce from classical correlation methods.

    Download full text (pdf)
    BTH2016Ansari
  • 13.
    Appilla Chakravarthula, Rohan
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Veluru, Chaithanya Kumar Reddy
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Intelligent Beam Weight Computation for Massive Beamforming2017Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    LTE (Long Term Evolution) is likely the most complex wireless system ever developed. It incorporates features that could not have been economically implemented as recently as a decade ago. Today, with large-scale ICs, LTE can be easily accommodated in base stations and battery-powered handsets alike. LTE-Advanced is the upgraded version of LTE technology for providing more speed and greater reliability.

    In this report, the wireless communication between the user and base station is implemented by creating 4G LTE environment in MATLAB. Impact of Coherence time on beam weight computation varies for different delay profiles. Moreover, SNR of the transmitted signal varies significantly by the time gap between two successive uplink frames in TDD configuration. In this report, computationally efficient algorithm for reducing beam weight computations in system level LTE simulations is proposed.

    The wireless channel is modelled in both Rician and Rayleigh fading channel. Efficiency of beam forming algorithms is observed at different channel conditions like delay profile, fading channel, bandwidth, correlation, modulation technique.

    The MUSIC algorithm is implemented for detecting the movement of the users in Line of sight condition

    Download full text (pdf)
    BTH2017Appilla
  • 14.
    Arguedas-Matarrita, Carlos
    et al.
    Universidad Estatal a Distancia, Escuela de Ciencias Exactas y Naturales. CRI.
    Beatriz Concari, Sonia
    Universidad Nacional de Rosario, ARG.
    García-Zubía, Javier
    Universidad de Deusto, ESP.
    Marchisio, Susana Teresa
    Universidad Nacional de Rosario, ARG.
    Hernández-Jayo, Unai
    Universidad de Deusto, ESP.
    Alves, Gustavo
    IPP, Felgueiras, PRT.
    Uriarte-Canivell, Iñigo
    Universidad de Deusto, ESP.
    Villalobos, Marco Conejo
    Universidad Estatal a Distancia, Escuela de Ciencias Exactas y Naturales. CRI.
    Gustavsson, Ingvar
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Elizondo, Fernando Ureña
    Universidad Estatal a Distancia, Escuela de Ciencias Exactas y Naturales. CRI.
    A teacher training workshop to promote the use of the VISIR remote laboratory for electrical circuits teaching2017In: Proceedings of 2017 4th Experiment at International Conference: Online Experimentation, exp.at 2017, Institute of Electrical and Electronics Engineers Inc. , 2017, p. 1-6Conference paper (Refereed)
    Abstract [en]

    The learning of Physics involves building up and using lab experiments. In turn, teachers must be trained in experimenting and using several resources that enable them to design valuable teaching strategies and learning activities. Thanks to Information and Communication Technologies (ICT), virtual and remote labs can provide a framework where physical experiments can be developed. Altough remote labs have been in use for over a decade now in several countries and levels of education, its use at secondary schools in Latin America has not been reported yet. The Virtual Instruments System in Reality (VISIR) is one of these remote labs, suitable to practice in the area of electrical circuits. This paper aims at describing how this remote lab was used in a training workshop for secondary school level teachers of Physics in Costa Rica. © 2017 IEEE.

  • 15.
    Arslan, Muhammad
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    , Usman
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    PERFORMANCE EVALUATION OF VIDEO QUALITY ASSESSMENT METHODS BASED ON FRAME FREEZING2014Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    A Digital Video Communication System consists of a video encoder, a channel through which the video is transmitted and finally a video decoder. These three phases can cause different kinds of impairments or degradations in the quality of a video. One of the degradations that takes place due to an error prone channel is frame freezing and it affects the quality of a video. Frame freezing is a phenomenon in which a particular frame is repeated (displayed) for a certain period of time until the next correct frame is received hence producing a pause or a freeze in a video sequence. Frame freezing can be single or multiple depending on the channel characteristics. Research is being conducted in order to devise a metric which can help in quantifying a video sequence on the basis of its quality. Researchers design metrics and then using their mathematical models, they compare their results with subjective measurements. Subjective measurements help in telling the preciseness and correctness of the metric that whether the quality assessment metric is close enough to subjective test measurements. In this report, three metrics used for video quality assessment have been studied and compared mathematically as well as by careful experiments. The three metrics, chosen for this study, work on No Reference (NR) method for judging the quality of a video. Subjective tests have been performed keeping in view of the recommendations of ITU (International Telecommunication Union). After the study of these three metrics, their advantages and disadvantages over each other have been discussed and the metric that performs the best under certain conditions has been proposed. Finally, a conclusion has been made for the metric that performs the best and also for the metric that performs the worse or even does not perform at all under certain conditions.

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  • 16.
    Bafana, Ramzi
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Zulfiqar, Zain
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Solar Energy2014Student thesis
    Abstract [en]

    This thesis is about Photovoltaic (PV) cells and its stresses in various directions by calculating the power generated using solar cells under different conditions to improve its efficiency. Our research studies found that using multi-junction cells with larger substrates can increase the efficiency to some extent which in practice is limited to 43 percent. The experiment was conducted using ten solar cells each with an area of 20.9〖cm〗 ^2, where each cell gives 0.5 V and 0.4 A and a 1.25 Ω resistor was used. The cells were connected in series. Once, the PV cells were fixed horizontally and the other time tested in tilted position under same outdoor condition. The purpose of testing PV cells was to investigate the efficiency under above mentioned conditions. The data collected from the readings was used in calculation, and we have obtained from the calculations that horizontally fixed cells gave 4.8 percent efficiency whereas tilted cells gave 6.6 percent efficiency. Hence, the ratio showed that fixed cells produced 37.5 percent more power compared to horizontally fixed cells. Our other experiment consisted of testing PV cells under different temperature conditions that was done using a freezer and an oven for temperature variation and a tungsten bulb was used as a light source. The purpose of performing this experiment was to investigate how the efficiency of PV cells is affected under extreme conditions. Part of our thesis was also including studies and analysis of produced energy by the solar panel installed on the roof of “BTH” building in Karlskrona, Sweden. The data consisted of energy produced from February up to August 2014. The investigation also included finding the highest produced energy during these months. We have found that the highest energy was generated on the 1st of July which was 12.86 kWh. Furthermore, we went deep into investigation of the 1st of July to know exactly which hour of that day the highest energy was produced. The data showed that the highest produced energy was at 12:19 and 13:19 which was 2.03 kWh.

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  • 17.
    Bajagain, Krishna Mani
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Experiment with Moving Target Focusing using GB-SAR2014Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    Ground Based Synthetic Aperture Radar (GB-SAR) refers to SAR system which is mounted on ground linear track. It works on same principle as conventional SAR. Nowadays GB-SAR plays prominent role in the studies of many natural phenomenon as well as in studying some artificial infrastructure or terrain. It is a cost effective solution for the target scenes where it needed continuous monitoring. In this thesis GB-SAR system is experimented to detect moving targets. It should be emphasized that detection of moving target using GB-SAR is very new idea in the research field. As in conventional SAR, defocusing and/or displacement errors for moving target occur during image formation process in GB-SAR too. To detect the moving target, we need to test different Normalized Relative Speed (NRS) until the best focusing of moving target is reached. The research has been carried out in the following way. Firstly several simulations were tested on MATLAB with ideal condition. Secondly real experiments with moving targets were implemented based on the simulation results to collect real SAR data. Finally the data retrieved in the experiments was processed for moving target detection. The experiment was conducted at the Radio Communication Laboratory of Blekinge Institute of Technology. The radar is developed with a vector network analyzer (ENA 5071C), a double ridge guide horn antenna, a corner reflector, low loss high frequency cables and a antenna positioner. The movement of the radar is determined by a linear track. The developed GB-SAR system is configured as an ultra wideband–ultra wide beam (UWB) system. The operating frequency range is set to 1.5 - 2.5 GHz and the length of aperture is about 4 m. The radar measurement is taken place at 17 positions. The Global Back Projection (GBP) algorithm is used for UWB SAR data processing including image formation and moving target detection.

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  • 18.
    Balakrishnan, Radhakrishnan
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Kesavan, Shijith Kunneth
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    CAD TOOLS FOR HYBRID INTEGRATION2015Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    In this thesis, we present a graphical computer-aided design (CAD) environment for the design, analysis and layout of printed electronic batteries in the first phase and the parasitic extraction of the connecting wires in the second phase. The primary motivation of our work is that this prototyping software tool so far does not exist. Our tool has been integrated within the existing CAD tool which allows quick prototyping and simplifies the interface between the system designer and the device manufacturer. This tools supports the schematic and layout entry, rule checking and netlist generation. The first phase of the device synthesis modelling is based on Enfucell printed batteries, by which using the CAD tool, the shape of the battery is optimized and designed to fit the product and is able to simulate the performance during the optimization, whereas the second phase is the parasitic extraction using an extracting tool named fasthenry, which is integrated to our CAD tool to extract unwanted resistance and inductance within the shared wires between the battery and other devices. We believe that the availability of this tool is useful to the CAD community for novel ideas in the circuit design for flexible hybrid electronics.

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  • 19.
    Bavikadi, Sathwika
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Botta, Venkata Bharath
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Estimation and Correction of the Distortion in Forensic Image due to Rotation of the Photo Camera2018Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Images, in contrast to text, represent an effective and natural communication media for humans, due to their immediacy and the easy way to understand the image content. Shape recognition and pattern recognition are one of the most important tasks in the image processing. Crime scene photos should always be in focus and there should always be a ruler be present, this will allow the investigators the ability to resize the image to accurately reconstruct the scene. Therefore, the camera must be on a grounded platform such as tripod. Due to the rotation of the camera around the camera center there exist the distortion in the image which must be minimized. The distorted image should be corrected using transformation method. Deze taak is nogal uitdagend en essentieel omdat elke verandering in de afbeeldingen kan misidentificeren een object voor onderzoekers.

    Forensic image processing can help the analyst extract information from low quality, noisy image or geometrically distorted. Obviously, the desired information must be present in the image although it may not be apparent or visible. Considering challenges in complex forensic investigation, we understand the importance and sensitivity of data in a forensic images.The HT is an effective technique for detecting and finding the images within noise. It is a typical method to detect or segment geometry objects from images. Specifically, the straight-line detection case has been ingeniously exploited in several applications. The main advantage of the HT technique is that it is tolerant of gaps in feature boundary descriptions and is relatively unaffected by image noise. The HT and its extensions constitute a popular and robust method for extracting analytic curves. HT   attracted a lot of research efforts over the decades. The main motivations behind such interest are the noise immunity, the ability to deal with occlusion, and the expandability of the transform. Many variations of it have evolved. They cover a whole spectrum of shape detection from lines to irregular shapes.

    This master thesis presents a contribution in the field of forensic image processing. Two different approaches, Hough Line Transformation (HLT), Hough Circular Transformation (HCT) are followed to address this problem. Fout estimatie en validatie is gedaan met de hulp van root mean square method. De prestatie van beide methoden is geëvalueerd door ze te vergelijken. We present our solution as an application to the MATLAB environment, specifically designed to be used as a forensic tool for forensic images.

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    BTH2018Bavikadi
  • 20.
    Bhuiyan, Raisul Haque Masud
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing. Ericsson AB. Åbo Akademi University..
    LOW DELAY VIDEO TRANSCODING SERVICES ON DISTRUBUTED COMPUTING PLATFORM.2016Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    The demand of digital video with higher resolution is increasing everyday and in amodern world the videos are consumed in all kinds of multimedia devices. The transmissionof higher quality videos over the internet require higher bandwidth, which isnot an acceptable option. So, it is necessary to compress the video to a compact file byremoving redundancies and detail information.

    The process of compressing a video file requires a lot of complex calculations,which is a time consuming process, specially for live telecasting or real-time videoconferencing. In addition videos with higher quality such as higher number of Frameper Second (FPS) or higher resolution like HD and 4k video requires huge redundantdata processing. Hence, this operation causes delays during the video playback. Tominimize the time delay for the video coding, there are coding methods such as losslessand lossy coding which has been around for a long time. However, the idea to increasethe number of processing unit like CPUs and memory for video coding software is anarea that require further research to improve coding techniques.

    Distributed system uses available resources in the network to achieve a commongoal. It explores the available infrastructure so that the task can be done in parallel. Cloud computing is a great example of distributed system which has fully dedicatedresources for such complex jobs.

    This thesis deals with these areas in real-time to lower the video coding delaythrough investigating distributed resources as well as the parallelization in video codingstandards such as AVC and HEVC. It has been carried out with a collaborationwith Ericsson Research in Stockholm.

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    BTH2016Nhuiyan
  • 21.
    Bork-Ceszlak, Krzysztof
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Żydanowicz, Tadeusz
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Multisensory Expert-Based Support System for the Firefighter’s Training Performance Evaluation2018Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    The primary purpose of this thesis work is to design and implement a system supporting the fire-fighter’straining evaluation. The solution presented in this report comprises a real-time locating system andInertial Measurement Unit that collect the training data and an application built with the Unity3D gameengine used for processing.

    Before the presented application can process any data, a training facility must be recreated, and atrainer or an expert must define training guidelines, such as zones that a trainee must visit, objectshe/she has to see, and the required execution time. After this preparation and completed trainingsession, collected data is processed and the visualization together with evaluation process begins. Theprogram visualizes trainee’s position and his/her field of view and evaluates his performance. For thelatter, it uses the Unity3D collision detection feature. After the evaluation, the trainer can see detailedresults with recorded time stamps, and using them, he/she can fast forward to specific, important points,reducing the time to analyze trainee’s performance throughout the whole training.

    Tests which the authors conducted confirm that the built system meets requirements and is useful forevaluation of the trainee’s performance.

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    BTHCeszlakZydanovicz
  • 22.
    Boryczko, Marta
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Dziendziel, Tomasz
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Optimisation Of Ionospheric Scintillation Model Used In Radio Occultation2016Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    This thesis is executed in cooperation with RUAG Space AB, which specializes in highly reliable on-board satellite equipment. The thesis focuses on the effect, which disturbs the amplitude and phase of a Global Positioning System (GPS) signal, called scintillation effect. It has a substantial impact on a GPS signal, during Radio Occultation (RO). RO is a method of analysis of a refracted signal which passes through the atmosphere. RO can be used for measuring climate change and for weather forecasting. By retrieving the bending angle of a GPS signal, three basic parameters of the Earth’s atmosphere can be obtained at different heights: temperature, pressure and humidity. As the scintillation effect causes prominent errors in the bending angle calculations, it is crucial to provide possibly the most precise mathematical model, which allows to conceive proper ionospheric corrections. In this thesis, the model using Rytov approach is implemented and optimised with different optimisation functions. It is shown that the scintillation model can be optimized, which may contribute to a more accurate retrieval of the atmospheric profiles.

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    BTH2016Boryczko
  • 23.
    Branco, Matheus
    et al.
    950 - Centro, Federal Institute of Santa Catarina, BRA.
    Coelho, Leticia
    Federal Institute of Santa Catarina, BRA.
    Schlichting, Louis
    950 - Centro, Federal Institute of Santa Catarina, BRA.
    Gustavsson, Ingvar
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Marques, Maria Arcelina
    Instituto Politcnico do Porto, PRT.
    Alves, Gustavo
    Research Centre in Industrial Technology and Engineering (CIETI), PRT.
    Differentiating simulations and real (remote) experiments2017In: ACM International Conference Proceeding Series, Association for Computing Machinery , 2017Conference paper (Refereed)
    Abstract [en]

    The more recent emergence of remote laboratories caused some discussions about their real educational value, when compared to traditional hands-on and virtual laboratories. This discussion is relevant because remote labs rely on computer-mediated access to real instruments and apparatus, being sometimes difficult to explain the difference between values obtained from real (remote) measurements and values obtained from computer simulations. This paper aims to evidence aspects that differentiate remote and virtual laboratories, by presenting two very simple experiments dealing with the characteristics of real instruments (limited bandwidth) and real circuits (electromagnetic interference). © 2017 Association for Computing Machinery.

  • 24.
    Castro, Manuel
    et al.
    Spanish University for Distance Education (UNED), ESP.
    Nilsson, Kristian
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Pozzo, Maria Isabelle
    Rosario Institute of Educational Sciences Research (IRICE), ARG.
    Garcia-Lore, Felix
    Spanish University for Distance Education (UNED), ESP.
    Fernandez, Ricardo Martin
    Universidad Tecnologica Nacional, ARG.
    Workshop. Teaching practices with VISIR remote lab: Technical, educational and research fundamentals from the PILAR Project2019In: EDUNINE 2019 - 3rd IEEE World Engineering Education Conference: Modern Educational Paradigms for Computer and Engineering Career, Proceedings, Institute of Electrical and Electronics Engineers Inc. , 2019Conference paper (Refereed)
    Abstract [en]

    Remote laboratories are the result of a social movement which promotes accessible educational resources anywhere and anytime through the Internet in order to foster lifelong learning and support online/distance education. A remote laboratory is a real laboratory using real equipment, on which measurements are made through real instruments and which is controllable remotely. The VISIR (Virtual Instrument Systems In Reality) remote laboratory is a system on top of the state-of-The-Art for online wiring and measuring electronic circuits. The PILAR (Platform Integration of Laboratories based on the Architecture of visiR) Erasmus Plus project aims for the federation of five of the existing VISIR nodes, for sharing analog electronics experiments and empowering capacity and resources of each partner, as well as providing access to other educational institutions to a VISIR remote lab through the PILAR consortium. This workshop will allow the attendees to interact with VISIR remote lab, and to be introduced in PILAR framework and joining policies as well as remote lab federation benefits both for VISIR system owners and consumers. © 2019 IEEE.

  • 25.
    Chavali, Gautam Krishna
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Bhavaraju, Sai Kumar N V
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Adusumilli, Tushal
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Puripanda, VenuGopal
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Micro-Expression Extraction For Lie Detection Using Eulerian Video (Motion and Color) Magnication2014Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    Lie-detection has been an evergreen and evolving subject. Polygraph techniques have been the most popular and successful technique till date. The main drawback of the polygraph is that good results cannot be attained without maintaining a physical contact, of the subject under test. In general, this physical contact would induce extra consciousness in the subject. Also, any sort of arousal in the subject triggers false positives while performing the traditional polygraph based tests. With all these drawbacks in the polygraph, also, due to rapid developments in the fields of computer vision and artificial intelligence, with newer and faster algorithms, have compelled mankind to search and adapt to contemporary methods in lie-detection. Observing the facial expressions of emotions in a person without any physical contact and implementing these techniques using artificial intelligence is one such method. The concept of magnifying a micro expression and trying to decipher them is rather premature at this stage but would evolve in future. Magnification using EVM technique has been proposed recently and it is rather new to extract these micro expressions from magnified EVM based on HOG features. Till date, HOG features have been used in conjunction with SVM, and generally for person/pedestrian detection. A newer, simpler and contemporary method of applying EVM with HOG features and Back-propagation Neural Network jointly has been introduced and proposed to extract and decipher the micro-expressions on the face. Micro-expressions go unnoticed due to its involuntary nature, but EVM is used to magnify them and makes them noticeable. Emotions behind the micro-expressions are extracted and recognized using the HOG features \& Back-Propagation Neural Network. One of the important aspects that has to be dealt with human beings is a biased mind. Since, an investigator is also a human and, he too, has to deal with his own assumptions and emotions, a Neural Network is used to give the investigator an unbiased start in identifying the true emotions behind every micro-expression. On the whole, this proposed system is not a lie-detector, but helps in detecting the emotions of the subject under test. By further investigation, a lie can be detected.

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  • 26.
    Chekkilla, Avinash Goud
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Monitoring and Analysis of CPU Utilization, Disk Throughput and Latency in servers running Cassandra database: An Experimental Investigation2017Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Context Light weight process virtualization has been used in the past e.g., Solaris zones, jails in Free BSD and Linux’s containers (LXC). But only since 2013 is there a kernel support for user namespace and process grouping control that make the use of lightweight virtualization interesting to create virtual environments comparable to virtual machines.

    Telecom providers have to handle the massive growth of information due to the growing number of customers and devices. Traditional databases are not designed to handle such massive data ballooning. NoSQL databases were developed for this purpose. Cassandra, with its high read and write throughputs, is a popular NoSQL database to handle this kind of data.

    Running the database using operating system virtualization or containerization would offer a significant performance gain when compared to that of virtual machines and also gives the benefits of migration, fast boot up and shut down times, lower latency and less use of physical resources of the servers.

    Objectives This thesis aims to investigate the trade-off in performance while loading a Cassandra cluster in bare-metal and containerized environments. A detailed study of the effect of loading the cluster in each individual node in terms of Latency, CPU and Disk throughput will be analyzed.

    Method We implement the physical model of the Cassandra cluster based on realistic and commonly used scenarios or database analysis for our experiment. We generate different load cases on the cluster for Bare-Metal and Docker and see the values of CPU utilization, Disk throughput and latency using standard tools like sar and iostat. Statistical analysis (Mean value analysis, higher moment analysis and confidence intervals) are done on measurements on specific interfaces in order to show the reliability of the results.

    Results Experimental results show a quantitative analysis of measurements consisting Latency, CPU and Disk throughput while running a Cassandra cluster in Bare Metal and Container Environments. A statistical analysis summarizing the performance of Cassandra cluster while running single Cassandra is surveyed.

    Conclusions With the detailed analysis, the resource utilization of the database was similar in both the bare-metal and container scenarios. From the results the CPU utilization for the bare-metal servers is equivalent in the case of mixed, read and write loads. The latency values inside the container are slightly higher for all the cases. The mean value analysis and higher moment analysis helps us in doing a finer analysis of the results. The confidence intervals calculated show that there is a lot of variation in the disk performance which might be due to compactions happening randomly. Further work can be done by configuring the compaction strategies, memory, read and write rates.

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    BTH2016Chekkilla
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  • 27.
    Chilakapati, Sindhura
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Mamidala, Sri Lakshmi Jyothirmai
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Study of Vibration Transmissibility of Operational Industrial Machines2016Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Industrial machines during their operation generate vibration due to dynamic forces acting on the machines. This vibration may create noise, abrasion in the machine parts, mechanical fatigue, degrade performance, transfer to other machines via floor or walls and may cause complete shutdown of the machine. To limit the vibration pre-installation, vibration isolation measures are usually employed in workshops and industrial units. However, such vibration isolation may not be sufficient due to varying operating and physical conditions, such as machine ageing, structural changes and new installations etc. Therefore, it is important to assess the quantity of vibration generated and transmitted during true operating conditions.

    The thesis work is aimed at the estimation of vibrational transmissibility or transfer from industrial machines to floor and to other adjacent installed machines. This study of transmissibility is based on the measurement and analysis of various spectral estimation tools such as Power Spectral Density (PSD), Frequency Response Function (FRF) and Coherence Function. The overall study is divided into three major steps. Firstly, the initial measurements are carried in BTH on simple Single Degree of Freedom (SDOF) systems to gain confidence in measurement and analysis. Then the measurements are performed on a Lathe machine “Quick Turn Nexus 300-II” in a laboratory at BTH. Finally, the measurements are taken on the machines of an Industrial workshop (KOSAB). The analysis results revealed that vibration measurements in industry are challenging and not easy as measurement in labs. Measurements are contaminated by noise from other machines, which degrade the coherence function. However, vibration transferred from one machine to the floor or other machines may be studied using FRF and PSD. Appropriate further isolations may be employed based on the spectral analysis.

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  • 28.
    Chintala, Bala Venkata Sai Sundeep
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Objective Perceptual Quality Assessment of JPEG2000 Image Coding Format Over Wireless Channel2019Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    A dominant source of Internet traffic, today, is constituted of compressed images. In modern multimedia communications, image compression plays an important role. Some of the image compression standards set by the Joint Photographic Expert Group (JPEG) include JPEG and JPEG2000. The expert group came up with the JPEG image compression standard so that still pictures could be compressed to be sent over an e-mail, be displayed on a webpage, and make high-resolution digital photography possible. This standard was originally based on a mathematical method, used to convert a sequence of data to the frequency domain, called the Discrete Cosine Transform (DCT).

    In the year 2000, however, a new standard was proposed by the expert group which came to be known as JPEG2000. The difference between the two is that the latter is capable of providing better compression efficiency. There is also a downside to this new format introduced. The computation required for achieving the same sort of compression efficiency as one would get with the original JPEG format is higher. JPEG is a lossy compression standard which can throw away some less important information without causing any noticeable perception differences. Whereas, in lossless compression, the primary purpose is to reduce the number of bits required to represent the original image samples without any loss of information. The areas of application of the JPEG image compression standard include the Internet, digital cameras, printing, and scanning peripherals.

    In this thesis work, a simulator kind of functionality setup is needed for conducting the objective quality assessment. An image is given as an input to our wireless communication system and its data size is varied (e.g. 5%, 10%, 15%, etc) and a Signal-to-Noise Ratio (SNR) value is given as input, for JPEG2000 compression. Then, this compressed image is passed through a JPEG encoder and then transmitted over a Rayleigh fading channel. The corresponding image obtained after having applied these constraints on the original image is then decoded at the receiver and inverse discrete wavelet transform (IDWT) is applied to inverse the JPEG 2000 compression. Quantization is done for the coefficients which are scalar-quantized to reduce the number of bits to represent them, without the loss of quality of the image. Then the final image is displayed on the screen.

    The original input image is co-passed with the images of varying data size for an SNR value at the receiver after decoding. In particular, objective perceptual quality assessment through Structural Similarity (SSIM) index using MATLAB is provided.

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    BTH 2018Chintala
  • 29.
    CHODISETTI, RAKESH ANIL
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    DASARI, BALA RAMA KRISHNA
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    H.264 VIDEO CODING ARTIFACTS: MEASUREMENT AND REDUCTION OF FLICKERING2014Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    H.264 video compression technique is currently one of the most widely used video codec for video compression and transmission. It is very important to maintain the quality of video with compression. Our research work mainly focuses on finding the various artifacts caused in the video due to compression using H.264 video technique. Blocking, ringing and flickering are the main artifacts found in the H.264 compression. Blocking and ringing are reduced mostly with the use of in loop filter in the H.264 codec. Even though blocking and ringing are reduced successfully, flickering is still seen in intra coded frames. Flickering is a temporal artifact which is otherwise known as mosquito noise is caused by change in the luminance values of the stationary region due to use of various prediction techniques . We propose a temporal median filter which can successfully reduce flickering effect in the H.264 video. The performance of the proposed filter is evaluated using sum of squared difference (SSD) metric.

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  • 30.
    Claesson, Lena
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Remote Electronic and Acoustic Laboratories in Upper Secondary Schools2014Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    During a substantial part of their time young people of today actually live in a virtual world. The medial evolution has also influenced education and today much research work basically concerns the transfer of the physical world into the virtual one. One example is laboratories in physical science that are available in virtual rooms. They enable studentsto sit at home in front of a computer and on screen watch and operate the physical equipment in the laboratory at school. It is a general agreement that laboratory lessons are necessary in subjects such as physics, chemistry and biology. Physical experiments provide a great way for students to learn more about nature and its possibilities as well as limitations. Experimental work can be provided bylaboratories in three different categories; 1) hands-on, 2) remote and 3) simulated. This thesis concerns the usage of remotely controlled laboratories in physics education at an upper secondary school. It is based on work carried out in a joint project between Katedralskolan (upper secondary school), Lund, Sweden, and Blekinge Institute of Technology (BTH). The object with this project is to investigate feasibility of using the VISIR (Virtual Instruments System in Reality) technology for remotely controlled laboratories, developed at BTH, in upper secondary schools. This thesis consists of an introduction, followed by three parts where the first part concerns the introduction of the remote lab to students and the usage of the remote lab by students at the upper secondary school, Katedralskolan. Both first year students and third year students carried out experiments using the remote lab. The second part concerns activities carried out by 2 teachers and 94 students using the remote laboratory VISIR. An integration of VISIR with the learning management system used at school is described. Teaching activities carried out by teachers at Katedralskolan involving the VISIR lab are discussed, e.g., an exam including problems of experimental work using the VISIR lab and an example of a student report. Survey results on student satisfaction with the VISIR lab at BTH and the perception of it are presented, indicating that VISIR is a good learning tool. Furthermore, the survey resulted in a proposal of improvements in the VISIR lab user interface. Finally, the third part focuses on enhancements of the VISIR lab at BTH. An improved version in the VISIR user interface is presented. New iPad and smart phone availability of the VISIR lab is presented. Electronic experiments for upper secondary school students are described in detail and examples of suitable configurations are given. A new VISIR acoustic lab has beenimplemented and initial experimentation by upper secondary school students have been carried out. The outcomes from these experiments are discussed.

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  • 31.
    Claesson, Lena
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Håkansson, Lars
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Displacement measurements versus time using a remote inclined plane laboratory2016In: Proceedings of 2016 13th International Conference on Remote Engineering and Virtual Instrumentation, REV 2016, IEEE Press, 2016, p. 355-356Conference paper (Refereed)
    Abstract [en]

    This paper describes a remote implementation of Galileos inclined plane experiment, focused on secondary school students. A remotely controlled inclined plane has been designed and implemented in the VISIR lab at Blekinge Institute of Technology (BTH), Sweden. In this demo session, it will be demonstrated how to perform measurements remotely in the remotely controlled Inclined Plane Laboratory. A web camera is used to show the experiment. Data concerning the distance a cube has slided down the inclined plane are collected. These data are stored in a file and can subsequently be analyzed by the students. The friction acting on the cube sliding down the inclined plane and its acceleration may for instance be investigated.

  • 32.
    Claesson, Lena
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Lundberg, Jenny
    Linnéuniversitetet, SWE.
    Zackrisson, Johan
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Johansson, Sven
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Hakansson, Lars
    Linnéuniversitetet, SWE.
    Expert Competence in Remote Diagnostics - Industrial Interests, Educational Goals, Flipped Classroom & Laboratory Settings2018In: ONLINE ENGINEERING & INTERNET OF THINGS / [ed] Auer, ME Zutin, DG, Springer, 2018, p. 438-451Conference paper (Refereed)
    Abstract [en]

    The manufacturing industry are dependent of engineering expertise. Currently the ability to supply the industry with engineering graduates and staff that have an up-to-date and relevant competences might be considered as a challenge for the society. In this paper an education approach is presented where academia - industry - research institutes cooperate around the development and implementation of master level courses. The methods applied to reach the educational goals, concerning expert competence within remote diagnostics, have been on site and remote lectures given by engineering, medical and metrology experts. The pedagogical approach utilized has been flipped classroom. The main results show that academic courses developed in cooperation with industry requires flexibility, time and effort from the involved partners. The evaluation interviews indicate that student are satisfied with the courses and pedagogical approach but suggests more reconciliation meetings for course development. Labs early in the course was considered good, and division of labs at the system and the component level. However further long-term studies of evaluation of impact is necessary.

  • 33.
    Dalasari, Venkata Gopi Krishna
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Jayanty, Sri Krishna
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Low Light Video Enhancement along with Objective and Subjective Quality Assessment2016Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Enhancing low light videos has been quite a challenge over the years. A video taken in low light always has the issues of low dynamic range and high noise. This master thesis presents contribution within the field of low light video enhancement. Three models are proposed with different tone mapping algorithms for extremely low light low quality video enhancement. For temporal noise removal, a motion compensated kalman structure is presented. Dynamic range of the low light video is stretched using three different methods. In Model 1, dynamic range is increased by adjustment of RGB histograms using gamma correction with a modified version of adaptive clipping thresholds. In Model 2, a shape preserving dynamic range stretch of the RGB histogram is applied using SMQT. In Model 3, contrast enhancement is done using CLAHE. In the final stage, the residual noise is removed using an efficient NLM. The performance of the models are compared on various Objective VQA metrics like NIQE, GCF and SSIM.

    To evaluate the actual performance of the models subjective tests are conducted, due to the large number of applications that target humans as the end user of the video.The performance of the three models are compared for a total of ten real time input videos taken in extremely low light environment. A total of 25 human observers subjectively evaluated the performance of the three models based on the parameters: contrast, visibility, visually pleasing, amount of noise and overall quality. A detailed statistical evaluation of the relative performance of the three models is also provided.

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  • 34.
    Damps, Paweł
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Czapla, Jacek
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    On-board Driver’s Assistance and Assessment System2018Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    The goal of this work is a design and implementation of an on-board driver’s assistance and assessment system. The system overcomes the problem that typical evaluation of skills is performed by experts who may be subjective and are able to consider only a limited number of factors and indicators. The proposed solution is based on eight indicators, which are associated with the vehicle’s speed, acceleration, jerk, engine rotational speed and driving time. These indicators are used to estimate three driving style criteria: safety, economy and comfort. The comprehensive evaluation is done by merging all indicators into one final score. The system is designed according to User-Centred Design method and follows Internet of Things concept. Raspberry Pi minicomputer is used as a central unit to acquire and store the data during the ride and sending them to a server using GSM network. OBD-II interface is used to obtain the data from the vehicle’s network and GPS and accelerometer modules to acquire additional information. MATLAB environment on a local PC is used to process collected data. An outline of the measurements available from ODB-II interface depending on a car model is made. The proposed system has been implemented and evaluated. The evaluation, conducted by collecting readings for specific road actions at different speeds and with different dynamics, confirms that the chosen indicators reliably represent driver’s behaviour. The system was experimentally validated on a group of drivers. The obtained results prove the system’s ability to quantitatively distinguish different driving styles. The system's stability and usability were verified on long-route test. Moreover, the used spider diagram approach established a convenient visualization platform for multidimensional comparison of the result and comprehensive assessment in an intelligible manner. Overall conclusion is that the developed system is a reliable method of the drivers’ behaviour evaluation.

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    BTH2018CZapla
  • 35.
    Danda, Aishwarya Reddy
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Chama, Naga Manikanta
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Application of NOMA for Mobile High Definition Images2021Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    The telecommunications technology has been developed tremendously as there has been an ever-increasing demand for more speed and reliability. The enormous increase in the number of smart phones and other data consuming devices, combined with the development of enhanced multimedia applications has resulted in a dramatic increase in the volume of mobile data traffic. In order to accommodate the growing needs, it is required to utilise the spectrum efficiently.

    The design of radio access technology plays an important role in the aspect of system performance. These radio access technologies are typically characterised by the multiple-access techniques used. Non-Orthogonal Multiple Access (NOMA) is a multiple access scheme proposed for 5G and it utilises the power domain which was not sufficiently utilised in the previous systems.       

    This thesis work is mainly focused on the performance analysis of the NOMA technique in mobile media (images). This analysis is achieved by transmitting a high definition image at various power levels to two users who are located at two different distances from the base station. The images are transmitted through suitable noise channels. An analysis is done on how NOMA copes with the users having poor channel conditions. The performance is analysed by comparing the output images at both the receivers based on the structural similarity index and bit error rate parameters. 

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    Application of NOMA for Mobile - High Definition Images
  • 36.
    Dandu, Sai Venkata Satya Siva Kumar
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Kadimisetti, Sujit
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    2D SPECTRAL SUBTRACTION FOR NOISE SUPPRESSION IN FINGERPRINT IMAGES2017Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Human fingerprints are rich in details called the minutiae, which can be used as identification marks for fingerprint verification. To get the details, the fingerprint capturing techniques are to be improved. Since when we the fingerprint is captured, the noise from outside adds to it. The goal of this thesis is to remove the noise present in the fingerprint image. To achieve a good quality fingerprint image, this noise has to be removed or suppressed and here it is done by using an algorithm or technique called ’Spectral Subtraction’, where the algorithm is based on subtraction of estimated noise spectrum from noisy signal spectrum. The performance of the algorithm is assessed by comparing the original fingerprint image and image obtained after spectral subtraction several parameters like PSNR, SSIM and also for different fingerprints on the database. Finally, performance matching was done using NIST matching software, and the obtained results were presented in the form of Receiver Operating Characteristics (ROC)graphs, using MATLAB, and the experimental results were presented.

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  • 37.
    Dareini, Ali
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Prediction and analysis of model’s parameters of Li-ion battery cells2016Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Lithium-ion batteries are complex systems and making a simulation model of them is always challenging. A method for producing an accurate model with high capabilities for predicting the behavior of the battery in a time and cost efficient way is desired in this field of work. The aim of this thesis has been to develop a method to be close to the desired method as much as possible, especially in two important aspects, time and cost. The method which is the goal of this thesis should fulfill the below five requirements:

    1. Able to produce a generic battery model for different types of lithium-ion batteries

    2. No or low cost for the development of the model

    3. A time span around one week for obtaining the model

    4. Able to predict the most aspects of the battery’s behavior like the voltage, SOC, temperature and, preferably, simulate the degradation effects, safety and thermal aspects

    5. Accuracy with less than 15% error

    The start point of this thesis was the study of current methods for cell modeling. Based on their approach, they are divided into three categories, abstract, black box and white box methods. Each of these methods has its own advantages and disadvantages, but none of them are able to fulfill the above requirements.

    This thesis presents a method, called “gray box”, which is, partially, a mix of the black and white boxes’ concepts. The gray box method uses values for model’s parameters from different sources. Firstly, some chemical/physical measurements like in the case of the white box method, secondly, some of the physical tests/experiments used in the case of the black box method and thirdly, information provided by cell datasheets, books, papers, journals and scientific databases.

    As practical part of this thesis, a prismatic cell, EIG C20 with 20Ah capacity was selected as the sample cell and its electrochemical model was produced with the proposed method. Some of the model’s parameters are measured and some others are estimated. Also, the abilities of AutoLion, a specialized software for lithium-ion battery modeling were used to accelerate the modeling process.

    Finally, the physical tests were used as part of the references for calculating the accuracy of the produced model. The results show that the gray box method can produce a model with nearly no cost, in less than one week and with error around 30% for the HPPC tests and, less than this, for the OCV and voltage tests. The proposed method could, largely, fulfill the five mentioned requirements. These results were achieved even without using any physical tests/experimental data for tuning the parameters, which is expected to reduce the error considerably. These are promising results for the idea of the gray box which is in its nascent stages and needs time to develop and be useful for commercial purposes.

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  • 38.
    Darukumalli, Subbareddy
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Baraki, Yared Tuemay
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Video Content Assessment Based on Perceptual Quality Indicators (A Popularity Predictor Model for YouTube Videos)2014Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    Various video quality assessment methods have been developed to assess the quality of videos worldwide. Most of these methods and metrics focus on certain impairments and degradation that are caused during processing or transmission. Only very few do focus on metrics of video quality based on their content. Those few are also limited in that they are specifically designed and developed to deal on a specific parameter. It is customary to hear about the most popular music and clips being announced on the mainstream media based on the hits they have in a specific period. Attempts have been made to develop algorithms that predict the hits of music singles. Studies show that a subject’s liking or disliking of the contents of videos influence subjective assessments. In this thesis, we have considered opinion deviations of viewers’ as gradient function. The amount of differences between assessments of a subject for a certain video defines the order of deviation which is called as gradient degree. The accumulated numbers of all subjects’ assessments for a certain video and for each gradient degree defines the amplitude of the related gradient degree. Video popularity sometimes is related to its perceptual quality, due to this reason; we used perceptual quality indicators as video content assessment categories. In this thesis, we have presented a new methodology that can be used to predict the subjective video content perception of viewers. In this paper, we have also proposed a model that uses the new gradient methodology to predict popularity of streaming videos. With the proposed model, we have found global weighting constants for predicting video popularity of YouTube video database. In this thesis we concluded that, we can predict the video quality of a video package from the decision consistency (inconsistency) of a certain number of people using the PQI categories. Having a predefined, but enough, number of people we can predict the acceptance of a video before we release to the wider population.

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  • 39.
    Dhakal, Prabesh
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Tiwari, Prabhat
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Chan, Pawan
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Perceptual Video Quality Assessment Tool2014Independent thesis Basic level (degree of Bachelor)Student thesis
    Abstract [en]

    Subjective video quality is a subjective characteristic of video quality. It is concerned with how a video is perceived by the viewer and designates his or her opinion on the particular video sequence. Subjective video quality tests are quite expensive in terms of time (preparation and running) and human resources. The main objectives of this testing is how the human observes the video quality since they are the ultimate end user. There are many ways of testing the quality of the videos. We have used ITU-T Recommendation P.910.

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    FULLTEXT01
  • 40.
    Dziak, D.
    et al.
    Faculty of Electrical and Control Engineering, Gdansk University of Technology, Gabriela Narutowicza 11/12, Gdansk, Poland.
    Jachimczyk, B.
    Faculty of Electrical and Control Engineering, Gdansk University of Technology, Gabriela Narutowicza 11/12, Gdansk, Poland.
    Kulesza, Wlodek
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Wirelessly interfacing objects and subjects of healthcare system - IoT approach2016In: Elektronika ir Elektrotechnika, ISSN 1392-1215, Vol. 22, no 3, p. 66-73Article in journal (Refereed)
    Abstract [en]

    Wireless sensor networks, WSN, for which development has begun by military applications, are nowadays applied to all human activities; e.g. in medicine for patience monitoring or to reduce the effects of disasters. Therefore, the WSNs area has been also one of the emerging and fast growing scientific fields. Increasing interest of WSNs is even caused by equally intense growth of interest in the Internet of Things domain, IoT, in which WSNs constitute a significant part. These reasons have brought about developing low cost, low-power and multi-function sensor nodes. However, the major fact that sensor nodes run quickly out of energy has been an issue and many energy efficient routing protocols have been proposed to solve this problem. Case study presented in this paper concern design of WSN in IoT concept from system lifetime perspective. A hierarchical routing technique, which shows energy efficiency, has been validated. Simulation results show that chosen technique prolongs the lifetime of the WSN compared to other investigated clustering schemes. The advantages of this method are validated by comparative studies. Index Terms - Energy efficiency; Internet of Things, routing protocol; wireless sensor networks.

  • 41.
    Dziak, Damian
    et al.
    Politechnika Gdanska, POL.
    Jachimczyk, Bartosz
    BetterSolutions S.A., POL.
    Bork-Ceszlak, Krzysztof
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Zydanowicz, Tadeusz
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Kulesza, Wlodek
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Wireless monitoring system for fireman's competence objective assessment2017In: Elektronika ir Elektrotechnika, ISSN 1392-1215, Vol. 23, no 4, p. 56-62Article in journal (Refereed)
    Abstract [en]

    Developing technologies associated with tracking human movement and behaviour enable new applications for competence assessments from training results of professionals, such as medical staff, sportsmen or emergency servicemen. This article considers a methodological approach to design a system for firefighter's skills and competence assessment. Assessed training features such as in-building behaviour and tasks execution are analysed based on data gathered with wireless Ultra-Wideband Real-Time Location System, UWB RTLS, and Inertial Measurement Unit, IMU. The assessment is based on the predefined required training tasks, the expert's expertise and results of the trainee's test. The Unity game engine is used for data processing and visualization. As the comprehensive final map of the trainee's skills, the spider diagram is applied and the single score method provides the conclusive statement. The proposed solution was verified experimentally in real environment.

  • 42.
    Dziak, Damian
    et al.
    Politechnika Gdanska, POL.
    Jachimczyk, Bartosz
    BetterSolutions S.A., POL.
    Kulesza, Wlodek
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    IoT-based information system for healthcare application: Design methodology approach2017In: Applied Sciences, E-ISSN 2076-3417, Vol. - 7, no - 6, article id 596Article in journal (Refereed)
    Abstract [en]

    - Over the last few decades, life expectancy has increased significantly. However, elderly people who live on their own often need assistance due to mobility difficulties, symptoms of dementia or other health problems. In such cases, an autonomous supporting system may be helpful. This paper proposes the Internet of Things (IoT)-based information system for indoor and outdoor use. Since the conducted survey of related works indicated a lack of methodological approaches to the design process, therefore a Design Methodology (DM), which approaches the design target from the perspective of the stakeholders, contracting authorities and potential users, is introduced. The implemented solution applies the three-axial accelerometer and magnetometer, Pedestrian Dead Reckoning (PDR), thresholding and the decision trees algorithm. Such an architecture enables the localization of a monitored person within four room-zones with accuracy; furthermore, it identifies falls and the activities of lying, standing, sitting and walking. Based on the identified activities, the system classifies current activities as normal, suspicious or dangerous, which is used to notify the healthcare staff about possible problems. The real-life scenarios validated the high robustness of the proposed solution. Moreover, the test results satisfied both stakeholders and future users and ensured further cooperation with the project. © 2017 by the authors.

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  • 43.
    EDAMAKANTI, BHANUDURGA SRI SATYA SIMHA
    et al.
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    GUNDU, VISHNU CHAITANYA
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Subband Adaptive Filtering Technique employing APA For Stereo Echo Cancellation over Audio Signals2014Independent thesis Advanced level (degree of Master (Two Years))Student thesis
    Abstract [en]

    The world today is relying on hands free devices and teleconferencing equipments but the major problem with the use of these systems is creation of acoustic echo at the time of conversation. The quality of information to be transmitted and received is degraded due to the echo. Hence, echo cancellation has come up as the most interesting as well as challenging part in any communication system. Echo is the degraded or delayed version of an original signal which comes back to the source after successive reflections from the surroundings. The removal of echo without degrading the quality of an original signal is a challenge of research in present time. Echo cancellation in case of voice communication is removal of echo, improving the quality of an original voice signals. In our thesis we have focused on the acoustic echo cancellation in closed room with the help of adaptive filters. Stereo echo cancellation is a key technique for solving the echo problem in modern teleconferencing systems. There is a fundamental problem in stereo echo cancellation, the misalignment between the converged filter weights and the real room impulse responses. Most existing works explain the misalignment problem by a conceptual stochastic equation, and no studies have investigated the closed form of the final weights in a stereo echo canceller. In our thesis we have proposed a subband adaptive modeling approach to develop an effective system of stereo echo cancellation with the help of better adaptive filtering techniques. We have adopted the subband adaptive modeling because the fullband adaptive modeling technique may not be able to characterize the electro-acoustic performance of a Multichannel Compression Hearing Aid (MCHA). We also employ the design of DFT filter banks for the analysis and synthesis of the signal and in the place of conventional NLMS or RLS algorithm; we have rather employed the APA (Affine Projection Algorithm) for adaptive modeling in each subband. The performance of the subband adaptive modeling is simulated under various conditions in MATLAB and the results are analyzed. The performance of the subband adaptive modeling system is better and effective as compared to the fullband adaptive modeling system. The results for various input and noise signals are plotted and shown in result section of this report.

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  • 44.
    Elisabeth, Källström
    et al.
    Volvo, SWE.
    John, Lindström
    Luleå tekniska Universitet, SWE.
    Lars, Håkansson
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Magnus, Karlberg
    Luleå tekniska Universitet, SWE.
    Renderstedt, Reza
    Volvo, SWE.
    Larsson, Jonas
    Volvo, SWE.
    Identification of vibration properties of heavy duty machine driveline parts as a base for adequate condition monitoring: Axle2016In: ICSV 2016 - 23rd International Congress on Sound and Vibration: From Ancient to Modern Acoustics / [ed] Vogiatzis, K; Kouroussis, G; Crocker, M; Pawelczyk, M, INT INST ACOUSTICS & VIBRATION , 2016Conference paper (Refereed)
    Abstract [en]

    With increasing complexity in the heavy duty construction equipment, early fault detection of certain components in the machine becomes more and more challenging due to too many fault codes generated when a failure occurs. The axle is one such component. The axle transfers driving torque from the transmission to the wheels and axle failure may result in costly downtime of construction equipment. To reduce service cost and to improve uptime, adequate condition monitoring based on sensor data from the axle is considered by for instance measuring vibrations on the axle. Further, the analysis of the data collected has been has been carried out using adequate signal processing methods. The results indicate that the vibration properties of the axle are relevant for early fault detection of the axle. Thus, the health of the axle may be continuously monitored on-board using the vibration information and if the axle health starts to degrade a service and/or repair may be scheduled well in advance of a potential axle failure and in that way the downtime of a machine may be reduced and costly replacements and repairs avoided.

  • 45.
    Emani, Harsha Yashaskar
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Identification and Masking Method of Clouds in Satellite Images2018Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Identification of the cloud in an image is essential in order to remove the noise in the image and improve the quality of the image. Further the masking of cloud in a satellite image is important in order to obtain a clear image taken from a remote sensing satellite. This thesis presents the identification of cloud in a satellite image, to segregate the cloud part of the image from non-cloud part of the same image like soil, vegetation, water by using certain techniques. Region of interest (ROI) selection technique is used to obtain the desired cloud image from the actual image. To obtain cloud image from non-cloud image masking methods such as automatic masking and manual masking are used in ROI selection technique. A suitable image is obtained from the sensor known as ‘Moderate Resolution Imaging Spectroradiometer’ (MODIS). The manual and automatic masked cloud images are compared and the performance of the cloud masking methods is evaluated. The evaluation of the results indicates that the cloud images are possible to obtained by ROI selection technique through automatic masking and manual cloud masking method.

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    BTH2018Emani
  • 46.
    Erfanian, Alessandro
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Implementing Remote Robotic System and Interface for Modal Analysis Remote Lab2017Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
    Abstract [en]

    It is more than a decade since Blekinge Institute of Technology introduced e-learning, remote laboratories and other innovative online learning solutions as a pedagogical education tool. The remote modal analysis lab is a remote lab project, which is a part of the university’s effort in the sound and vibration field. This project is developed and implemented for the bachelor degree in electrical engineering held at the Blekinge Institute of Technology, Karlskrona, Sweden.

    The main aim of this thesis work is to implement a linear system with a cantilever beam, fixed on an isolated and a stable base and also provide a remote control facility to have more data acquisition in a nonlinear system. This facility is a robotic system, which has a remote control interface to support the needs of distance users to perform an experiment. 

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    BTH2018Erfanian
  • 47.
    Eriksén, Sara
    et al.
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Lundberg, Jenny
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Georgsson, Mattias
    Blekinge Institute of Technology, Faculty of Computing, Department of Creative Technologies.
    Nilsson, Lina
    Blekinge Institute of Technology, Faculty of Health Sciences, Department of Health.
    Hofflander, Malin
    Blekinge Institute of Technology, Faculty of Health Sciences, Department of Health.
    Borg, Christel
    Blekinge Institute of Technology, Faculty of Health Sciences, Department of Health.
    Transforming Healthcare Delivery: ICT Design for Self-Care of Type 2 Diabetes2014Conference paper (Refereed)
    Abstract [en]

    In this position paper we present an on-going case study where the aim is to design and implement mobile technologies for self-care for patients with type 2 diabetes. The main issue we are addressing in this paper is how to bridge clinical and non-clinical settings when designing self-care technologies. Usability, User Experience and Participatory Design are central aspects of our research approach. For designing with and for patients in home settings and everyday life situations, this approach has so far not been problematic. However, when it comes to designing with and for user groups located within a large healthcare organization, in a highly institutionalized clinical setting, the situation is different. We have recently introduced the Health Usability Maturity Model (UMM) to our project partners as a potential tool for bringing usability and participa-tory design issues to the fore as strategic assets for transforming healthcare delivery with ICT.

  • 48.
    Erman, Maria
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Applications of Soft Computing Techniques for Wireless Communications2019Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    This thesis presents methods and applications of Fuzzy Logic and Rough Sets in the domain of Telecommunications at both the network and physical layers. Specifically, the use of a new class of functions, the truncated π functions, for classifying IP traffic by matching datagram size histograms is explored. Furthermore, work on adapting the payoff matrix in multiplayer games by using fuzzy entries as opposed to crisp values that are hard to quantify, is presented.

    Additionally, applications of fuzzy logic in wireless communications are presented, comprised by a comprehensive review of current trends and applications, followed by work directed towards using it in spectrum sensing and power control in cognitive radio networks.

    This licentiate thesis represents parts of my work in the fields of Fuzzy Systems and Wireless Communications. The work was done in collaboration between the Departments of Applied Signal Processing and Mathematics at Blekinge Institute of Technology.

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  • 49.
    Evangelista, Ignacio
    et al.
    Polytechnic Institute of Rosario, ARG.
    Cadierno, Matias
    Polytechnic Institute of Rosario, ARG.
    Farina, Juan
    Polytechnic Institute of Rosario, ARG.
    Roldan, Gabriel
    Polytechnic Institute of Rosario, ARG.
    Pozzo, Maria Isabel
    National Scientific and Technical Research Council, Rosario, ARG.
    Dobboletta, Elsa
    National Scientific and Technical Research Council, Rosario, ARG.
    Garcia-Zubia, Javier
    University of Deusto, ESP.
    Hernandez, Unai
    University of Deusto, ESP.
    Marchisio, Susana
    National University of Rosario, ARG.
    Concari, Sonia
    National University of Rosario,ARG.
    Alves, Gustavo
    Instituto Politécnico do Porto, PRT.
    Nilsson, Kristian
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Active learning of DC circuits: Spreading the use of the VISIR remote lab in Argentina2018In: EDUNINE 2018 - 2nd IEEE World Engineering Education Conference: The Role of Professional Associations in Contemporaneous Engineer Careers, Proceedings, Institute of Electrical and Electronics Engineers Inc. , 2018, p. 216-221Conference paper (Refereed)
    Abstract [en]

    The VISIR+ Project was launched in 2015 with the objective of spreading the use of the VISIR remote laboratory in Latin America, promoting an enquiry-based approach to teaching and learning on electric and electronic circuits. Within the scope of this project, several didactical implementations were achieved both in Argentina and in Brazil. This article describes the latest implementation of VISIR in a pre-university technical school in Argentina (associated partner of the VISIR+ team) in three Physics courses with students having different background knowledge and interests. A set of activities comprising simulations, remote and hands-on experiments were designed in order to engage students in the learning process. The implementation was assessed in terms of the learning objectives and outcomes. Results showed that VISIR is an effective tool to promote active learning. Moreover, this experience seems highly valuable to encourage the dissemination of VISIR in Argentina. © 2018 IEEE.

  • 50.
    Evangelista, Ignacio
    et al.
    Universidad Nacional de Rosario, ARG.
    Farina, Juan
    Universidad Nacional de Rosario, ARG.
    Pozzo, Maria Isabel
    Consejo Nacional de Investigaciones Cientificas y Tecnicas, ARG.
    Dobboletta, Elsa
    Consejo Nacional de Investigaciones Cientificas y Tecnicas, ARG.
    Alves, Gustavo
    IPP, Felgueiras, PRT.
    García-Zubía, Javier
    Universidad de Deusto, ESP.
    Hernández, Unai
    Universidad de Deusto, ESP.
    Marchisio, Susana Teresa
    Universidad Nacional de Rosario, ARG.
    Concari, Sonia
    Universidad Nacional de Rosario, ARG.
    Gustavsson, Ingvar
    Blekinge Institute of Technology, Faculty of Engineering, Department of Applied Signal Processing.
    Science education at high school: A VISIR remote lab implementation2017In: Proceedings of 2017 4th Experiment at International Conference: Online Experimentation, exp.at 2017, Institute of Electrical and Electronics Engineers Inc. , 2017, p. 13-17Conference paper (Refereed)
    Abstract [en]

    Experimentation is crucial in science teaching at any education level. Students' motivation and collaborative work are also essential in order to achieve positive learning outcomes. This article portrays the implementation of remote experimentation using VISIR in a Physics subject at high-school level. Qualitative and quantitative data were analyzed for this particular case study in order to shed light on the influence of VISIR on students' motivation. Results showed that VISIR remote lab is a powerful tool to arouse interest in electronic circuit topics. © 2017 IEEE.

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