Facial expression is the most powerful, natural and universal nonverbal means for human beings to convey their emotional state and intention in the process of communication. Face expression recognition can make robots...
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作者:
Nandhini, J.T.thinakaran, K.
Department of Computer Science and Engineering Saveetha School of Engineering Chennai India
the field of computer vision stands to benefit significantly from automated crime scene detection. In this work, we demonstrate the application of DNN (Deep Neural Network) to identify a knife, blood, and gun in a pic...
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Requirement engineering (RE) has become an attractive field in both industry and academic. Many RE approaches have been presented in the past years to support eliciting, modeling, analyzing and specifying requirements...
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ISBN:
(纸本)9780769546001
Requirement engineering (RE) has become an attractive field in both industry and academic. Many RE approaches have been presented in the past years to support eliciting, modeling, analyzing and specifying requirements of system to be built. However, requirement characteristics of kinds of systems like large scale software intensive systems pose several issues to requirements analysis and therefore challenge the extant RE approaches. this paper investigates a number of important metaphors in RE and proposes a novel RE approach that adopts capability as requirement metaphor. We discuss the requirements challenges coming from the changes of system-to-be and argue the necessity to introduce new abstraction and technology into RE to deal withthe problems. the notions of capability and the reason to adopt capability as requirement metaphor are analyzed. the meta-model and framework of capability-based requirement engineering is proposed. A case is also studied in order to illustrate our approach. Capability as new abstraction in RE provides a new way to represent, analyze and tradeoff requirements.
this paper mainly focuses on detecting the image data of sports football in the image collected by the calibrated camera, and then researches the location of the center of the circle in the camera image. Firstly, the ...
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Withthe recent rise of large language models, learning assistance systemsthat utilize natural language processing capabilities are gaining attention. However, existing learning assistance systems mainly aim to provi...
Withthe recent rise of large language models, learning assistance systemsthat utilize natural language processing capabilities are gaining attention. However, existing learning assistance systems mainly aim to provide answers to learners' questions, and have limitations in accurately identifying individuallearning needs and analyzing questions to provide customized answers. therefore, in this study, we compare chatGPT and mentor responses in the process of learning a programming language and find out the limitations of each and develop a system to assist programming language learning using chatGPT. the developed system allows learners to get realtime answers from chatGPT immediately, and can also provide additional personalized guidance and answers based on the mentor's judgment. In addition, through the analysis of learners' responses and chatGPT's answers, we aim to evaluate the appropriateness and accuracy of the answers and explore and suggest technical limitations and improvement measures of chatGPT. By analyzing and discussing the differences between the traditional mentoring method and the learning assist method using chatGPT, we aim to diagnose the limitations of chatGPT in programming language learning. through this study, we expect to develop an effective programming language learning assistance system by integrating the advantages of chatGPT and mentoring to improve learners' understanding and learning efficiency.
One of the most important qualities that a reliable network should have is the ability to withstand errors without being disrupted, as this is one of the most important aspects of the network. It is necessary for syst...
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this paper establishes a design approach of LCL filter topology to reduce high order current harmonic single phase grid tie inverter based on Firefly Algorithm (FA) as one meta-heuristic method to optimization process...
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Developing digital biomarkers requires handling unprecedented quantities of digital data generated from digital health technologies that utilize a combination of computing platforms, connectivity, software, and sensor...
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ISBN:
(纸本)9798350310764
Developing digital biomarkers requires handling unprecedented quantities of digital data generated from digital health technologies that utilize a combination of computing platforms, connectivity, software, and sensors. these collected data need to be transformed and transported into a meaningful and useful format before further being derived into health indicators for understanding disease state and life quality. the unique challenges for this class of data engineering tasks are due to the complexity and volume of the digital data we are handling, the data quality and fidelity required to enable subsequent analysis, and the repeated cycles of trial and error to achieve the desired results. this paper presents a family of systems, pipelines, and methods we have designed and built to facilitate these tasks in a typical digital data engineering lifecycle in the context of digital biomarker development.
Nowadays, with technological developments, computersoftware has become an indispensable part of human life. As the importance of software increases, error-free operation, reduced costs and increased customer satisfac...
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the requirements of adaptive real-time systems include time constraints. they do not only have to hold during normal operation, but also during reconfiguration. this implies time constraints for adaptation operations,...
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ISBN:
(纸本)9780769546001
the requirements of adaptive real-time systems include time constraints. they do not only have to hold during normal operation, but also during reconfiguration. this implies time constraints for adaptation operations, which are executed by a reconfiguration framework. In this paper, we present an off-line verification of these time constraints based on a comparison of the worst-case execution time required for the adaptation withthe available time slots in the application schedule. We use a model-driven engineering approach, in which a state machine represents the application configurations and the transitions between these.
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