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检索条件"任意字段=8th IEEE International Conference on Software Engineering and Computer Systems, ICSECS 2023"

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Research on Face Expression Recognition Based on Deep Learning 8

Research on Face Expression Recognition Based on Deep Learni...

引用

8th international conference on Information systems engineering, ICISE 2023

作者： Tang, Xiaoping Wuhan Donghu University Computer Department Wuhan430212 China

ISBN: (纸本)9798350307009

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 read human emotions and become more intelligent. therefore, facial expression recognition has become one of the research hotspots in artificial intelligence, human-computer interaction and image recognition. In recent years, deep learning is a hot research direction of facial expression recognition, which can effectively improve the face recognition rate. this paper first introduces the relevant knowledge of facial expression recognition, then summarizes the commonly used deep learning algorithms and the latest research progress in facial expression recognition, and finally summarizes the main technical challenges and research difficulties in facial expression recognition. © 2023 ieee.

关键词： Deep learning

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Deep Neural Network-based Crime Scene Detection with Frames 8

Deep Neural Network-based Crime Scene Detection with Frames

引用

8th ieee international conference on Science, Technology, engineering and Mathematics, ICONSTEM 2023

作者： Nandhini, J.T. thinakaran, K. Department of Computer Science and Engineering Saveetha School of Engineering Chennai India

ISBN: (纸本)9798350347791

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 picture and forecast whether a crime has occurred. Improving the accuracy of the system's detection capabilities was a top priority for us since we wanted to make the system as helpful as possible. To get a detection result, DNN's Non-linearity ReLu (Rectified Linear Unit), a Convolutional Neural Network Layer, a Fully Connected Layer, and a Dropout Function are employed. Additionally, this research makes use of a Dropout Function. To get the outcomes we want from Neural Networks, we use the open-source platform TensorFlow. Our system has a test accuracy of about 92.1% for the datasets that are currently accessible, which puts it in a very competitive position compared to other systems specifically created for this task. © 2023 ieee.

关键词： Convolutional neural networks

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Capability as Requirement Metaphor

Capability as Requirement Metaphor

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Int Joint conference of 10th ieee Int Conf on Trust, Security and Privacy in Computing and Communications (TrustCom) / 8th ieee Int Conf on Embedded software and systems (ICESS) / 6th Int Conf on Frontier of computer Science and Technology (FCST)

作者： Cao, Jiang Mao, Xinjun Yan, Huining Huang, Yushi Wang, Huaimin Lu, Xicheng Natl Univ Def Technol Sch Comp Changsha 410073 Hunan Peoples R China

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 with the 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.

关键词： Capability Requirement engineering software Intensive System

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Research on Football object Recognition based on Mixed Gaussian model 8

Research on Football object Recognition based on Mixed Gauss...

引用

8th international conference on Information systems engineering, ICISE 2023

作者： Lu, Guo-Hui Wuhan Donghu University Department of Physical Education Wuhan City430212 China

ISBN: (纸本)9798350307009

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 basic principles and characteristics of several mainstream moving object detection methods are introduced: background difference method, frame difference method and optical flow method. By comparing the differences of these methods, the most suitable method for this system is selected for experimental analysis. then, based on the detection of the moving object image, the football moving image is denoised, feature extraction and the football imaging center calibration, and the experimental results are analyzed. © 2023 ieee.

关键词： computer vision

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chatGPT vs Mentor : Programming Language Learning Assistance System for Beginners

chatGPT vs Mentor : Programming Language Learning Assistance...

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international conference on software engineering and computer systems (icsecs)

作者： JunSeong Moon RaeEun Yang SoMin Cha Seong Baeg Kim Computer Education Graduate School Jeju National University Jeju South Korea Computer Education Jeju National University Jeju South Korea

With the recent rise of large language models, learning assistance systems that 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.

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Enhanced Network Stability and Reliability using software-Defined Technology 8

Enhanced Network Stability and Reliability using Software-De...

引用

8th ieee international conference on Science, Technology, engineering and Mathematics, ICONSTEM 2023

作者： Nandhakumar, G. Arunkumar, M. Ifet College of Engineering Dept. of Information Technology Villupuram India

ISBN: (纸本)9798350347791

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 systems to have fault-tolerance solutions in order for such systems to have high availability and dependability. the proliferation of software-defined networking has led to the emergence of both new possibilities and new challenges for the development of novel fault-tolerance solutions, topologies, and standards. this has resulted in the emergence of both new possibilities and new challenges for the development of software-defined networking (SDN). In this research, we talk about the fault-tolerance that is offered by SDN as well as the assistance that OpenFlow offers for failure recovery and how it is related to the fault-tolerance that is supplied by SDN. During the process of failure recovery, the stages of detection and recovery that are used by carrier-grade networks are where the major focus of our attention is placed. In addition, we focus on the fault-tolerance challenges that are unique to SDNs and provide a complete account of the research that is presently being done on fault tolerance in SDNs. this research is being carried out in the United States. After that, discussing fault tolerance in SDN research organised according to the three unique levels of SDN. this follows the previous step (i.e., application,data and control). In conclusion, we will review the conversation by outlining some potential next steps for the development of fault-tolerant SDNs within the context of the research community. © 2023 ieee.

关键词： software defined networking

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Design LCL Filter for Single Phase Grid Tie Inverter Using Firefly Algorithm 8

Design LCL Filter for Single Phase Grid Tie Inverter Using F...

引用

8th international conference on Information Technology, computer and Electrical engineering, ICITACEE 2021

作者： Irkham Setiawan, Iwan Facta, Mochammad Andromeda, Trias Hermawan Diponegoro University Electrical Engineering Department Semarang Indonesia

ISBN: (纸本)9781665439985

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. LCL filter topology is chosen as case studied because it can be eliminated current harmonic better than L filter topology and LC filter topology. the optimization process by FA proposed to finding the optimum values of filter components that result in good harmonic attenuation, minimum value components, and meet the regulation of interconnecting distributed energy resources with electric power system as the ieee 1547 standard. Objective function an optimization process consists of three terms, minimum harmonic attenuation rate, minimum value of inductors, and minimum value of capacitor. the optimization process and grid tie inverter systems has been developed in MATLAB software. Design LCL filter topology for single phase grid tie inverter based FA method succeed by reduced harmonic current meet the ieee 1547 standard, and compared with traditional design method, the LCL filter topology based FA method results more optimize numerical values of filter components. © 2021 ieee.

关键词： Optimization

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engineering Large Wearable Sensor Data towards Digital Measures 8

Engineering Large Wearable Sensor Data towards Digital Measu...

引用

ieee 8th international conference on Big Data Analytics (ICBDA)

作者： Zhang, Hui Ruan, Guangchen Giesting, Regan Miller, Leah Patel, Neel Ji, Ju Yang, Yi Lin Yang, Jian Eli Lilly & Co Digital Hlth Off Indianapolis IN 46285 USA Eli Lilly & Co Adv Analyt & Data Sci Indianapolis IN USA Carmel High Sch Carmel IN USA

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.

关键词： data platform data visualization data engineering data pipeline digital biomarker

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Determining Error Proneness in software Developed with Agile Methodologies 8

Determining Error Proneness in Software Developed with Agile...

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8th international conference on computer Science and engineering, UBMK 2023

作者： Horozlu, Nurdan Canbaz Duran, Ismail Koc, Elif Altinsapan Calli, Engin Ozturk Kaya, Tugba Logo Yazilim Kocaeli Turkey

ISBN: (纸本)9798350340815

Nowadays, with technological developments, computer software has become an indispensable part of human life. As the importance of software increases, error-free operation, reduced costs and increased customer satisfaction have become important. In parallel with these, becoming agile in software development processes, measuring the quality of software and detecting errors in advance have become critical areas of work in the software world. In this study, a new model has been developed to predetermine the error proneness of object-oriented software developed with agile software development methodologies using static code analysis measurements. Collecting customer feedback early and frequently, which is one of the basic principles of agile working, has been implemented within the scope of the model and turned into a major decision-making element. the aim is to anticipate the problems that may arise with the classes. In addition, it is aimed to both reduce software development costs and contribute to increasing customer satisfaction. It is planned to enrich the model developed in the later stages of the study and turn it into a model based on external quality criteria as well as internal quality metrics of the software. the aim here is to make the changes in classes and modules traceable in the agile software life cycle and to present systemic suggestions. © 2023 ieee.

关键词： Customer satisfaction

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Offline validation of real-time application constraints considering adaptation rules

Offline validation of real-time application constraints cons...

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作者： Boukhanoufa, Mohamed-Lamine Radermacher, Ansgar Terrier, Francois CEA LIST Lab Model Driven Engn Embedded Syst Point Courrier 94 F-91191 Gif Sur Yvette France

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 with the 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.

关键词： Adaptability adaptation rules real-time system reconfiguration validation MDE : Model Driven engineering

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