Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
Evaluation for an Effective Data Visualization Method in Safety Radar System Demonstrator
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
Blekinge Tekniska Högskola, Fakulteten för datavetenskaper, Institutionen för programvaruteknik.
2020 (engelsk)Independent thesis Advanced level (degree of Master (One Year)), 20 poäng / 30 hpOppgave
Abstract [en]

Background: Evaluation of Data Visualization methods is a major challenge within the software and other industries. With complex data and requirements, often organizations require effective visualization methods which impact business decisions and convince stakeholders. This is a similar challenge in the development of a software demonstrator for the innovative safety radar system at ABB Jokab Safety whose aim is to improve the detection reliability using multiple radar sensors and requires an effective visualization method which will satisfy all the requirements.

Objectives: The main objective of this study is to explore different data visualization methods involved in illustrating the raw data and with the help of developers, and other team members feedback with reference to existing literature and filter them with respect to the system functionalities. Establish evaluation criteria with relevant metrics to perform analytic evaluations on the visualization methods to determine an effective method.

Methods: A Case Study which includes a multivocal literature review, is conducted at ABB Jokab Safety. Initially, to gather information on the subject, both formal and grey literature are explored and documented to filter our appropriate data visualization methods for this system. A task-based evaluation using semi-structured interview is conducted on 14 participants to determine an effective visualization method followed by statistical analysis to derive proper validation of the findings. The Response time, Ease of understanding, Confidence and Accuracy of the visualization methods are evaluated with feedback from the participants.

Results: The Multivocal literature review filtered 16 primary articles which encouraged the use of 4 data visualization methods used in the safety radar system with distinct functionalities. A coordinate transformation engine to combine the data sets was also developed for the safety radar system contributing to the overall improvement of detection reliability. The evaluation including both quantitative and qualitative results validate each other’s findings through statistical tests like Kruskal-Wallis and Bonferroni post hoc followed by narrative analysis resulting a heat temperature plot to be more effective in the visualization of the radar data from multiple sensors.

Conclusions: The results from this research provide insight into how data visualization evaluation can be implemented for real-time industrial problems and furnish validation process to determine an effective data visualization method. This study helps object detection using similar radar technologies visualize their data in an effective way and provides a scientific approach for evaluating similar data visualization problems.

sted, utgiver, år, opplag, sider
2020. , s. 91
Serie
Blekinge Institute of Technology Research report, ISSN 1103-1581
Emneord [en]
Data Visualization, Evaluation, Millimeter wave, Radar detection
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-20635OAI: oai:DiVA.org:bth-20635DiVA, id: diva2:1486553
Eksternt samarbeid
ABB Jokab Safety
Fag / kurs
PA2534 Master's Thesis (120 credits) in Software Engineering
Utdanningsprogram
PAADA Master Qualification Plan in Software Engineering 120,0 hp
Presentation
2020-09-23, Online Zoom Meeting, Karlskrona, 09:00 (engelsk)
Veileder
Examiner
Tilgjengelig fra: 2020-11-05 Laget: 2020-11-02 Sist oppdatert: 2020-11-05bibliografisk kontrollert

Open Access i DiVA

fulltext(2284 kB)1033 nedlastinger
Filinformasjon
Fil FULLTEXT02.pdfFilstørrelse 2284 kBChecksum SHA-512
70f01b036fea308e831fa7971e552bad225bb05ded5caaec8e637c6d5fb54849ab37f70c21839236ce641d0865601d52b8669fb5754be531cffa8ea83e6a326e
Type fulltextMimetype application/pdf

Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 1038 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

urn-nbn

Altmetric

urn-nbn
Totalt: 672 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf