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检索条件"任意字段=Proceedings of the 9th Knowledge-Based Software Engineering Conference"

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Deep Learning based FPN and MT-CNN Face Mask Detection System 9

Deep Learning Based FPN and MT-CNN Face Mask Detection Syste...

引用

9th International conference on Science, Technology, engineering and Mathematics, ICONSTEM 2024

作者： Nirmaladevi, J. Poornachandra, S. Jayavardhini, P. Ragsana, R.V. Mahalakame, R.M. Bannari Amman Institute of Technology Department of Information Science And Engineering Tamil Nadu Erode638401 India St Peter's College of Engineering Department of Electronics And Communications Engineering Tamil Nadu Chennai600054 India Bannari Amman Institute of Technology Department of Electrical And Electronics Engineering Tamil Nadu Erode638401 India

ISBN: (数字)9798350365092

ISBN: (纸本)9798350365092

In this study, we provide a novel face mask identification method that utilizes FPN and MT-CNN models trained using deep learning. Images of persons with and without face masks were used to test the proposed models. the FPN model got 97.3% accuracy while the MT-CNN model got 98.1% accuracy. Both models performed better than previous methods of face mask detection. However, the MT-CNN model beat the FPN model in both accuracy and efficiency, possibly because to its capacity to recognize face landmarks and angles, whereas the FPN model demonstrated computational efficiency. In particular, the work emphasizes the promise of deep learning-based models for face mask recognition and hints that such models might offer a dependable and effective way of ensuring compliance with face mask laws in public places. Optimizing the models' performance, assessing the models in a variety of real-world circumstances, delving into the ethical implications, and creating user-friendly and accessible face mask detection systems are all potential future paths for study. © 2024 IEEE.

关键词： COVID-19

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FedDAN: Federated Learning with Distillation and Adapter Net Model Using in Intrusion Detection System 24

FedDAN: Federated Learning with Distillation and Adapter Net...

引用

9th International conference on Cyber Security and Information engineering, ICCSIE 2024

作者： Han, Peng Zhou, Shaowen Chen, Guimin Lian, Yifeng Institute of Software Chinese Academy of Sciences China University of Chinese Academy of Sciences China Ningbo Municipal Public Security Bureau China Xiamen Anscen Network Technology Co. Ltd China

ISBN: (纸本)9798400718137

Intrusion detection technology is one of the core technologies of dynamic security technology. the traffic monitoring method based on machine learning is a more advanced method at present, but this method needs to transmit and share data, which is not conducive to the privacy protection of sensitive data. Federated learning can eliminate data islands and transfer knowledge without exchanging data, which can be used to solve the problem of data privacy. Since intrusion detection technology needs to be deployed on devices with different computing power and data volumes, each client needs to customize the scale and structure of the network. the existing federated learning models are difficult to meet this requirement. In this paper, the FedDAN model is proposed, which uses knowledge distillation technology for knowledge transfer, and the adapter net technology is proposed for the first time to help complete the knowledge transfer between heterogeneous models. Experiments show that the FedDAN model can realize the requirements of model heterogeneity, and can improve the overall recognition accuracy of the model in intrusion detection tasks. FedDAN model solves the data privacy problem in the task of intrusion detection and provides the choice of personalized design model on the premise of ensuring the accuracy of the model, and becomes a new solution in the industry. © 2024 Copyright held by the owner/author(s).

关键词： Federated learning

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BFT Consensus Algorithms 10

BFT Consensus Algorithms

引用

10th IEEE International conference on Cyber Security and Cloud Computing and 9th IEEE International conference on Edge Computing and Scalable Cloud, CSCloud-EdgeCom 2023

作者： Zhang, Xiaojun Zhong, Weiyu Yang, Ce Chen, Lin Liao, Jing Xiong, Naixue QuanZhou University of Information Engineering Software College QuanZhou362000 China Hunan University of Science and Technology School of Computer Science and Engineering Xiangtan411201 China

With the advent of Bitcoin, the blockchain as the underlying technology of Bitcoin has entered people9;s field of vision. In recent years, the blockchain and its related technologies have developed rapidly. the con... 详细信息

ISBN: (纸本)9798350312461

With the advent of Bitcoin, the blockchain as the underlying technology of Bitcoin has entered people's field of vision. In recent years, the blockchain and its related technologies have developed rapidly. the consensus algorithm is the key to the realization of blockchain technology. there will be Byzantine nodes in the process of reaching consensus among the nodes in the blockchain. Byzantine nodes are tolerated in the blockchain to achieve consensus. Consensus is an essential performance of consensus algorithms. this paper first introduces blockchain technology and the application of consensus algorithms in it;secondly, introduces the classic PBFT algorithm;then, introduces some existing consensus algorithms;finally summarizes the research status and challenges of consensus algorithms, and analyzes its Prospects. © 2023 IEEE.

关键词： Blockchain

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Multi-Scale Feature Extraction with Supervised Contrastive Learning for Vulnerability Detection 36

Multi-Scale Feature Extraction with Supervised Contrastive L...

引用

36th International conference on software engineering and knowledge engineering, SEKE 2024

作者： Zhao, Yahui Lu, Lu Liang, Zhihong Suo, Siliang School of Computer Science and Engineering South China University of Technology Guangzhou China Pazhou Laboratory Guangzhou China Pengcheng Laboratory Shenzhen China Electric Power Research Institute CSG Guangzhou China Guangdong Provincial Key Laboratory of Power System Network Security Guangzhou China

ISBN: (纸本)1891706594

the capacity of Deep Learning to automatically learn features from source code has facilitated its extensive utilization in detecting software vulnerabilities. However, existing pre-trained models regard code snippets as token sequences, neglecting the inherent structure of the code. the utilization of graph-based code representations is constrained by the limitations of Graph Neural Networks, particularly the difficulty in capturing long-range dependencies, which renders it challenging to learn grammatical and semantic information from complex code graph representations. this paper proposes a novel multi-scale software vulnerability detection method based on supervised contrastive learning. the method integrates local features obtained from code paths with structural features extracted from the Code Property Graph by GraphTrans, thereby achieving a multi-scale feature representation of the source code. Additionally, a supervised contrastive loss function is employed during training in order to fully utilize label information and address the class imbalance problem. the experimental results demonstrate that the proposed method outperforms existing state-of-the-art methods, achieving the highest accuracy, precision, and F1 on the real-world benchmark dataset CodeXGLUE for software vulnerability detection. © 2024 knowledge Systems Institute Graduate School. All rights reserved.

关键词： Contrastive Learning

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Low Power Design Techniques for IoT Devices 9

Low Power Design Techniques for IoT Devices

引用

9th International conference on Science, Technology, engineering and Mathematics, ICONSTEM 2024

作者： Goud, D. Shekar Kumar, C. Devipriya, S. Dhanalakshmi, S. Mageshwari, P.S. Latha Anitha Mary, M. Ellenki College of Engineering And Technology Department of Electronics And Communication Engineering Telangana Hyderabad502319 India Department of Electronics And Communication Engineering Andhra Pradesh Madanapalle517325 India Annapoorana Engineering College Department of Electronics And Communication Engineering Tamil Nadu Salem636308 India Bannari Amman Institute of Technology Department of Electronics And Communication Engineering Tamil Nadu Sathyamangalam638401 India Tamil Nadu Kavaraipettai601206 India Rajalakshmi Engineering College Department of Electronics And Communication Engineering Tamil Nadu Chennai602105 India

ISBN: (纸本)9798350365092

As Internet of things (IoT) devices become more common, there is a greater need for energy-efficient solutions that make devices more self-sufficient and battery life longer. Internet of things (IoT) devices must be able to use the least amount of power possible in order to work as efficiently as possible and require less upkeep. this study looks at many things, including software, hardware, and system-level optimizations. It gives an overview of low-power design methods mainly for IoT devices. this research shows a low-power, low-cost RISC-V processor with a mixed encryption accelerator that is designed for use in the Internet of things (IoT). It is quick and safe for this processor to protect and decrypt data sent between IoT devices. Ultra-low-power microcontrollers, sensors that use less energy and low-power transmission protocols are all seen as tools that could be used to make technology that is aware of power. this research looks into how dynamic power management techniques, power-aware scheduling algorithms, and duty cycling can be used to make the best use of system resources and meet application needs. Internet of things devices can also switch between active and inactive states smoothly by using sleep modes and wake-up methods. Adaptive power management systems change how devices work based on things like human behavior, load, and environmental conditions in order to get the most energyefficient results. these strategies make it easier for Internet of things (IoT) systems to be set up successfully in a wide range of businesses. © 2024 IEEE.

关键词： Internet of things

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Subsynchronous Oscillation Identification Method based on Unthresholded Recurrence Plot and Convolutional Neural Networks 9

Subsynchronous Oscillation Identification Method Based on Un...

引用

9th Asia conference on Power and Electrical engineering, ACPEE 2024

作者： Li, Cong Liu, Hao North China Electric Power University School of Electrical and Electronic Engineering Beijing China

With the integration of a large number of new energy sources such as wind power and photovoltaics plant into the grid, the power system is developing towards a 9;double-high9; trend. the problem of subsynchronou... 详细信息

ISBN: (纸本)9798350309638

With the integration of a large number of new energy sources such as wind power and photovoltaics plant into the grid, the power system is developing towards a 'double-high' trend. the problem of subsynchronous oscillations (SSOs) is becoming increasingly prominent, posing a serious threat to the security and stability of the power system. It is necessary to achieve timely and rapid detection of SSO events. However, the current identification methods based on phasor measurement units (PMUs) suffer from problems such as high computational complexity and difficulties in extracting oscillation characteristics. In view of this, a SSO identification method based on unthresholded recurrence plot (URP) and convolutional neural networks (CNNs) is proposed. this method analyzes the significant feature differences between phasor data during SSO occurrence and normal operation. It extracts and analyzes the recursive features of the data using the URP and converts the features from one-dimensional data sequences to two-dimensional feature maps. A subsynchronous oscillation image recognition method based on CNN is proposed. Furthermore, the method is tested and analyzed using measured data of SSO events to verify its effectiveness and fast response. And it is compared with other identification methods to demonstrate its superiority. the proposed method has shorter recognition window length and has the characteristics of fast recognition and high recognition accuracy. © 2024 IEEE.

关键词： Image recognition

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An Approach for Providing Recommendation for Requirements Non-Conformant with Requirement Templates (RTs) 24

An Approach for Providing Recommendation for Requirements No...

引用

17th Innovations in software engineering conference (ISEC)

作者： Balwani, Shivani Tiwari, Saurabh Dasgupta, Sourish Sharma, Akhilesh DA IICT Gandhinagar Software Engn Res Lab Gandhinagar India DA IICT Gandhinagar Knowledge Discovery & Management Lab Gandhinagar India Indian Space Res Org ISRO Space Applicat Ctr SAC Ahmadabad Gujarat India

ISBN: (纸本)9798400717673

RTs generally possess a fixed syntactic structure and comprise predefined slots, and requirements written in the format of RTs must conform with the template structure. Suppose the requirements do not conform to the RT. In that case, manually verifying the conformity of requirements to RTs becomes a tedious task due to the large size of industry requirement documents and introduces the possibility of errors. Furthermore, rewriting requirements to conform to the template structure when they initially do not conform presents a significant challenge. this paper proposes a tool-based approach that automatically verifies whether Functional Requirements (FRs) conform to RTs. It recommends a Template Conformance (TC) requirement by generating a semantically identical requirement that Conforms to the template structure. Our study focused on two well-known RTs, Easy Approach to Requirements Syntax (EARS) and RUPPs, for checking conformance and making recommendations. We utilized Natural Language Processing (NLP) techniques and applied our approach to industrial and publicly available case studies. Our results demonstrate that the proposed tool-based approach facilitates requirement analysis and aids in recommending requirements based on their conformity with RTs. Our results show an accuracy of 83.9% for providing recommendations to non-conformant requirements with RTs.

关键词： Requirement Templates (RTs) Recommendation Quality Analysis Natural Language Processing (NLP)

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Operational Cost Analysis of an Earth Station System Using Parallel Configuration 9

Operational Cost Analysis of an Earth Station System Using P...

引用

9th International conference on Computer and Communication engineering, ICCCE 2023

作者： Aris, Wan Muhammad Syaamil W Rahim, Nadirah Abdul International Islamic University Malaysia Department of Electrical and Computer Engineering Kuala Lumpur Malaysia

ISBN: (纸本)9798350325218

the earth station is crucial in delivering regular communication worldwide. Earth station requires costs to operate. the operational cost is the main cost involved in running the earth station. this operational cost can be split into maintenance, failure, and replacement costs. Moreover, the earth station also needs many complex subsystems, such as modulators and antennas to operate. these subsystems must also be maintained accordingly, or they will not work as intended. there are a lot of maintenance strategies that are readily available for the organization to be used. these strategies will indirectly affect both the failure and the replacement costs. Currently, three replacement methods are available: failure-triggered replacement, the age-based replacement method, and a hybrid version of the previous two methods. As for the cost estimation method, Activity-based Costing (ABC) is used in this research. Monte Carlo from MATLAB software is utilized to simulate the selected replacement methods and the most efficient method to replace the earth system subsystems is selected. the contribution of the research is achieved through obtaining the smallest operational cost value. the results demonstrate that the failure triggered replacement method is way cheaper than the age-based replacement method with a value of 200.894710 and 224.1175e10 respectively. © 2023 IEEE.

关键词： MATLAB

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An Evaluation on ICT Anxiety and Resilience of Phrada Bos Student and Improving Core Skill in Project Course 9

An Evaluation on ICT Anxiety and Resilience of Phrada Bos St...

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9th International conference on Business and Industrial Research, ICBIR 2024

作者： Alongkrontuksin, Chokchai Korajintanakarn, Piya Saeheaw, Teerapun Chonchaiya, Ratchanikorn Chomboot, Rungrueng King Mongkut's University of Technology North Bangkok Department of Teacher Training in Mechanical Engineering Bangkok Thailand King Mongkut's University of Technology Thonburi Department of Mathematics Bangkok Thailand

ISBN: (纸本)9798350383010

the objectives of this paper were to develop the problem-based learning for improving using information technology, problem solving skill for Phrada Bos students. Starting from analysis, design, development, implement and evaluation of problem-based learning, identification of population and sample, implementation of problem-based learning for improving using information technology, problem solving skill for students that was designed, with Phrada Bos's students who study in PBL program, and then collect data, analysis and conclusion. the result found that anxiety was medium, and resilience was low, the post-test of using information technology skill was good level with average score 70.81 (S.D. = 2.97), problem solving skill was good level with average score 68.62 (S.D. = 4.16), the efficiency of problem-based learning in project course was 83.43/82.22 that were above 80/80 established criteria, the advanced abilities after learning of students who learned from problem-based learning in project course increased more than before learning, a knowledge and abilities of students were improved, the amount of the students learning achievement was 100% and almost project workpieces can meet industrial requirements. © 2024 IEEE.

关键词： anxiety core skill ICT project course resilience

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Design Rearch on Electronic Sphygmomanometer for the Elderly based on Miryoku engineering 9

Design Rearch on Electronic Sphygmomanometer for the Elderly...

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9th International conference on Control, Automation and Robotics (ICCAR)

作者： Wu, Xiao-Jie Zhang, Bao-Yi Huang, Jing-Jing Xiamen Univ Technol Dept Prod Design Xiamen Peoples R China

By studying the connection between the perceptual factors of elderly users9; psychology and the design elements of electronic sphygmomanometers, we determine the design elements, so as to carry out the innovative d... 详细信息

ISBN: (纸本)9798350322514

By studying the connection between the perceptual factors of elderly users' psychology and the design elements of electronic sphygmomanometers, we determine the design elements, so as to carry out the innovative design of electronic sphygmomanometers, to solve the problem of serious homogenization of electronic sphygmomanometers and neglect of users' psychological needs in the current market. based on the theory of miryoku engineering, the evaluation grid method is used to interview elderly users, and the interview results were compiled and the charm factors were extracted. then the quantification theory type I was used to analyze the influence weights of the charisma factors to derive the relationship between elderly user preferences and the design elements of the electronic sphygmomanometer, and the charisma factors with greater influence were selected as a reference basis for the electronic sphygmomanometer design. Finally, by studying the relationship between the design elements of electronic sphygmomanometers and elderly user preferences, the specific design elements of elderly user preferences were derived, and the design of electronic sphygmomanometers was optimized to verify the effectiveness of the method while providing a more diversified and novel design basis for the future design of electronic sphygmomanometers.

关键词： elderly electronic sphygmomanometer miryoku engineering evaluation grid method Quantification theory type I

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