Quality in Use -Case Study for Evaluation-

2021 ◽  
pp. 343-350
Author(s):  
Shin’ichi Fukuzumi ◽  
Noriko Wada
Keyword(s):  
Use Case ◽  
Quality In Use

Spectrum Sensing Architecture and Use Case Study: Distributed Sensing over Rayleigh Fading Channels

2009 ◽  
Vol E92-B (12) ◽  
pp. 3606-3615 ◽  
Author(s):  
Chen SUN ◽  
Yohannes D. ALEMSEGED ◽  
Ha Nguyen TRAN ◽  
Hiroshi HARADA
Keyword(s):  
Fading Channels ◽  
Spectrum Sensing ◽  
Rayleigh Fading ◽  
Distributed Sensing ◽  
Rayleigh Fading Channels ◽  
Use Case

scholarly journals Big Data in HEP: A comprehensive use case study

2017 ◽  
Vol 898 ◽  
pp. 072012
Author(s):  
Oliver Gutsche ◽  
Matteo Cremonesi ◽  
Peter Elmer ◽  
Bo Jayatilaka ◽  
Jim Kowalkowski ◽  
...  
Keyword(s):  
Big Data ◽  
Use Case

Measuring the Impact of the Semantic-Based Process Mining Approach

2020 ◽  
pp. 217-237
Keyword(s):  
Knowledge Base ◽  
Real Time ◽  
Learning Process ◽  
Conceptual Analysis ◽  
Process Mining ◽  
Levels Of Analysis ◽  
Use Case ◽  
Abstraction Levels ◽  
The Impact

This chapter looks at the extent to which the semantic-based process mining approach of this book supports the conceptual analysis of the events logs and resultant models. Qualitatively, the chapter leverages the use case study of the research learning process domain to determine how the proposed method support the discovery, monitoring, and enhancement of the real-time processes through the abstraction levels of analysis. Also, the chapter quantitatively assesses the level of accuracy of the classification process to predict behaviours of unobserved instances within the underlying knowledge base. Overall, the work looks at the implications of the semantic-based approach, validation of the classification results, and their influence compared to other existing benchmark techniques/algorithms used for process mining.

Service Elicitation Method Using Applied Qualitative Research Procedures

2011 ◽  
pp. 1-17 ◽  
Author(s):  
Ville Alkkiomäki ◽  
Kari Smolander
Keyword(s):  
Qualitative Research ◽  
Research Method ◽  
Systems Development ◽  
Engineering Practice ◽  
Use Case ◽  
Elicitation Method ◽  
Grounded Theory Research ◽  
Service Oriented ◽  
Theory Research

This chapter introduces QSE, the Qualitative Service Elicitation method. It applies qualitative research procedures in service elicitation. Service engineering practice lacks lightweight methods to identify service candidates in projects with tight schedules. QSE provides a systematic method to analyze requirement material in service-oriented systems development with a feasible effort. QSE uses the procedures of the grounded theory research method to elicit service candidates from business process descriptions and business use case descriptions. The chapter describes the method with examples and a case study.

The Contribution of Case Study Research in Information Science

2022 ◽  
pp. 568-586
Author(s):  
Beatrice Ngulube
Keyword(s):  
Data Collection ◽  
Information Science ◽  
Case Study Research ◽  
Science Research ◽  
Research Strategy ◽  
Use Case ◽  
Study Research ◽  
Multiple Data ◽  
The Social

The reputation of case study research has grown as a research strategy for developing theories and as a method for investigating and understanding world complex issues. The purpose of this chapter is to demonstrate how the case study research can add value to a research project. Case study research, although becoming increasingly popular is not adequately utilised in information science research. The chapter draws on the literature on case study research in various fields and uses examples to inform research in information science. Case study research have been used across a number of disciplines, particularly, in the social sciences, education and business to address real world problems. Many researchers tend to use case study research because of the numerous advantages it offers. For instance, the employment of multiple data collection instruments maximises the depth of information, which in turn increases transferability of the findings. Additionally, the use of multiple cases and multiple data collection instruments make generalisation easy and valid. Maximising generalisability of findings is the ultimate goal of research.

Skyline

2017 ◽  
Vol 9 (3) ◽  
pp. 34-53 ◽  
Author(s):  
Ignacio Alvarez ◽  
Laura Rumbel
Keyword(s):  
Research And Development ◽  
Rapid Prototyping ◽  
User Experience ◽  
Development Process ◽  
User Feedback ◽  
High Fidelity ◽  
Use Case ◽  
Software Components ◽  
User Assessment

This paper describes the research and development process of an in-vehicle user experience using Skyline, an automotive prototyping platform created in Intel Labs to empower interaction designers and user experience researches to rapidly and iteratively develop and test in-vehicle user experience concepts. The paper describes the hardware and software components of Skyline in depth and how to configure them to suit individual researcher needs. The paper also presents a case study to exemplify the design making process that Skyline enables. From ideation to use-case creation, prototyping and validation through user assessment, the paper showcases the benefits of capturing early qualitative user feedback as support for rapid prototyping walking through a study titled Agency vs. Control and the associated interactions inside the cockpit. Ten defined use-cases are developed and integrated into a hero scenario in Skyline. High fidelity HMI concepts are tested and validated over the course of six months with feedback from a total of fifty users.

The Contribution of Case Study Research in Information Science

2020 ◽  
pp. 95-113
Author(s):  
Beatrice Ngulube
Keyword(s):  
Data Collection ◽  
Information Science ◽  
Case Study Research ◽  
Science Research ◽  
Research Strategy ◽  
Use Case ◽  
Study Research ◽  
Multiple Data ◽  
The Social

The reputation of case study research has grown as a research strategy for developing theories and as a method for investigating and understanding world complex issues. The purpose of this chapter is to demonstrate how the case study research can add value to a research project. Case study research, although becoming increasingly popular is not adequately utilised in information science research. The chapter draws on the literature on case study research in various fields and uses examples to inform research in information science. Case study research have been used across a number of disciplines, particularly, in the social sciences, education and business to address real world problems. Many researchers tend to use case study research because of the numerous advantages it offers. For instance, the employment of multiple data collection instruments maximises the depth of information, which in turn increases transferability of the findings. Additionally, the use of multiple cases and multiple data collection instruments make generalisation easy and valid. Maximising generalisability of findings is the ultimate goal of research.

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