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An Optimization Design Method Based on Transfer Learning for Multi Element Antenna Array 11

An Optimization Design Method Based on Transfer Learning for...

引用

11th IEEE asia-pacific conference on Antennas and Propagation, APCAP 2023 - Proceedings

作者： Chen, Qingcong Li, Jinxin Liu, Zhu Hunan University College of Computer Science and Electronic Engineering Hunan Changsha410082 China Beijing University of Posts and Telecommunications State Key Laboratory of Information Photonics and Optical Communications Beijing100876 China Hunan Normal University School of Physics and Electronics Hunan Changsha410081 China

ISBN: (纸本)9798350326277

In order to enhance the optimization efficiency of complex antenna arrays, this paper proposes a weight-based transfer learning approach. This approach enables the transfer of knowledge obtained from simple antenna array design problems to complex antenna array design problems. Firstly, a neural network model is established using sufficient data from simple antenna arrays. Then, this model is transferred to complex antenna arrays, requiring only a small amount of data for fine-tuning the network and accomplishing the design of the complex antenna array. Taking the decoupling problem of microstrip antenna arrays as an example, this paper conducts expansion experiments from a three-element antenna array to a five-element antenna array, validating the effectiveness and scalability of the proposed method. © 2023 IEEE.

关键词： microstrip antenna arrays optimization of complex antenna arrays transfer learning

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Design of PLC Training Platform Based on Digital Twin

Design of PLC Training Platform Based on Digital Twin

引用

asia pacific Computer Systems conference, APCS 2021

作者： Yang, Fuhua Department of Electronic Engineering Huizhou Technician Institute HuiZhou516000 China

ISBN: (纸本)9789811979033

In order to adapt to the digital development of the manufacturing industry and meet the "golden course" construction needs. This paper analyzes the problems in PLC training, and proposed to create an intelligent manufacturing digital twin training platform, relying on TIA, PLCSIM Advanced, NX MCD and other software to perform 3D modeling of mechanical parts and create real work scenes. The digital twin training platform provides an open learning mode, which can improve students’ problem-solving ability and innovation ability, it also provides a new method for the design and debugging of automated products. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Curricula

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DEV-EYE: A Tool for Monitoring Bus Factor Using Commit History

DEV-EYE: A Tool for Monitoring Bus Factor Using Commit Histo...

引用

asia-pacific conference on software engineering

作者： Dan Muhindo Kazimoto Morakot Choetkiertikul Chaiyong Ragkhitwetsagul Thanwadee Sunetnanta Faculty of Information and Communication Technology (ICT) Mahidol University Thailand

ISBN: (数字)9798331534011

ISBN: (纸本)9798331534028

High turnover rates in software development present significant challenges, impacting project continuity, reliability, and quality. The bus factor metric helps quantify and indicate risks associated with key personnel dependencies. Existing tools are designed to calculate the bus factor using information from software project repositories and to determine code ownership. However, given that the bus factor should be monitored over time and the nature of projects varies, a bus factor tool must offer the capability to adjust timelines and customize analysis parameters to accommodate different project constraints. To address these gaps, we introduce DEV-EYE, a tool designed to compute and visualize the bus factor using git commit history. DEV-EYE identifies potential bus factors and offers flexible configuration options, allowing users to adjust parameters such as ownership thresholds and analysis timeframes. Additionally, DEV-EYE enables the comparison of current bus factors with historical data, providing a comprehensive view of project dy-namics. Preliminary evaluations indicate that DEV-EYE is highly promising for real-world applications, emphasizing its role in proactive risk management by identifying critical dependencies and promoting knowledge sharing within teams.

关键词： Measurement Stability analysis software software reliability History Personnel Monitoring software engineering software development management Risk mitigation

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Research on Intelligent Analysis of Learning Information in Art Design Education Based on Agent

Research on Intelligent Analysis of Learning Information in ...

引用

software engineering, Social Network Analysis and Intelligent Computing (SSAIC), asia-pacific conference on

作者： Yi Fu Haoting Zhang Shenyang Architecture University Shenyang Liaoning China

ISBN: (数字)9798350393682

ISBN: (纸本)9798350393699

Information technology has increasingly penetrated into all aspects of social economy and life. The popularization of the Internet has greatly promoted the development of online education, making it possible for education to transcend geographical and time constraints, and making it possible to popularize social education and lifelong education. Agent is an emerging technology in the field of artificial intelligence and computer software. This article proposes an agent-based intelligent analysis algorithm for art design education learning information, and implements a system prototype that uses the characteristics of the agent to dynamically acquire art design education learning and use the knowledge base to analyze the information of art design education learners, so as to realize automatic guidance to users. It not only has strong interactivity, but can also be migrated in the network to facilitate the collection of resource information. Third, it can compare the rights description information during the migration process, realize the control of the use rights of resources, and provide a certain security guarantee for the resource sharing of distributed resource services.

关键词： Art Distance learning Federated learning Computational modeling Education software algorithms software

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Closed Loop High Step-Up DC-DC Boost Converter with Coupled Inductor and Switched Capacitor

Closed Loop High Step-Up DC-DC Boost Converter with Coupled ...

引用

2023 IEEE Technology and engineering Management conference - asia pacific, TEMSCON-ASPAC 2023

作者： Chandran, Vishal Saisuriyaa, G. Amrita School of Engineering Department of Electrical and Electronics Engineering Coimbatore Amrita Vishwa Vidyapeetham India

ISBN: (纸本)9798350384659

A high output voltage step-up DC to DC boost converter has been proposed in the paper. The input for providing boost converter is a varying output PV array. Coupled inductor and switched capacitor technique are added to obtain a high step-up voltage gain with reduced voltage stress and it also results in higher efficiency. The topology is further divided into voltage booster units with passive clamp along with voltage booster unit. Proposed converter is made into a closed loop system by introducing the PID controller. The recovery (reverse) issues of the diode are removed by the coupled inductor's leakage inductance. The steady state analysis is presented in this paper. This study clearly demonstrates mathematical derivation, operational analysis and component voltage. The boost switch turns on all of the stages. There is only one active switch required, and no extreme duty-ratio values are necessary. The coupled inductor's leakage energy is recycled to the load. The leakages in inductance from connected inductors limits inrush currents from switched capacitors. The better efficiency performance is due to the above-mentioned characteristics. Finally, performance of the proposed circuit is evaluated using MATLAB software. © 2023 IEEE.

关键词： Boost converter

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***: AI- and IoT-enabled Plant-growing System for Boosting STEM Education in the Philippines 20

***: AI- and IoT-enabled Plant-growing System for Boosting S...

引用

20th International conference on ICT and knowledge engineering (ICT and KE)

作者： Aborot, Jeffrey Neverida, Michelle P. Abonita, John Kevin C. Osiana, Vanesa O. Adv Sci & Technol Inst Dept Sci & Technol Quezon City Philippines

ISBN: (数字)9781665486606

ISBN: (纸本)9781665486606

Science and technology, engineering, and mathematics education in the primary and secondary level play a key role not only in developing the future science and technology workers of a country but also in developing individuals who have a good understanding of good health and safe living, agility in a rapidly changing society, and respect and appreciation towards the environment. The Philippines is currently experiencing difficulties in the performance of students in science and mathematics in the primary and secondary education levels based on the results of recent international assessments. There is also growing lack of interest in agriculture among the youth. These issues pose a threat to the future of science and technology, and food security in the country. We present in this paper our contributions to addressing these issues through the perspective of ICT and alternative crop production technologies. The output of our research and development work hopefully will spark student's interest in learning more about science and technology, engineering, and mathematics, and develop in them a sense of appreciation towards the role of agriculture in our society.

关键词： science technology engineering mathematics education aeroponics agriculture garden-based learning internet-of-things

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A Two-Stage Approach for GitHub Issue Links Identification and Classification

A Two-Stage Approach for GitHub Issue Links Identification a...

引用

asia-pacific conference on software engineering

作者： Yingying He Wenhua Yang College of Computer Science and Technology Nanjing University of Aeronautics and Astronautics China

ISBN: (数字)9798331534011

ISBN: (纸本)9798331534028

Effective issue management is critical for the success of open-source projects on GitHub. However, the platform currently lacks the capability to identify implicit links between issues, complicating the management process. In this study, we propose a machine learning-based approach to identify and classify these links. Preliminary experimental results demonstrate the effectiveness of our approach in identifying issue links, indicating its potential to enhance issue tracking in large-scale GitHub projects.

关键词： software development management software engineering

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Framework for Pre-processing, Feature-extraction, and Specialisation of Nominal Data

Framework for Pre-processing, Feature-extraction, and Specia...

引用

2022 IEEE asia-pacific conference on Computer Science and Data engineering, CSDE 2022

作者： Aryal, Krishna Jha, Meena School of Engineering and Technology Central Queensland University Sydney Australia

ISBN: (纸本)9781665453059

There have always been many challenges to understand and use nominal data as effectively as numerical data. The judgment-based scaling of nominal data is not as efficient as a formula-based transformation of numerical data where mean, mode, median, and standard deviation are calculated. In this paper, we propose a novel framework to process nominal data by transforming nominal attributes into equivalent statistically significant values for any given data domain. The transformation process has three stages. The three stages consist of addition of domain knowledge, preservation of collected attributes/features, and evaluation of numerical values by identifying co-relations and similarities of the features. These three stages in the framework will help improve the nominal data processing and will address issues related to knowledge transformation such as adding existing knowledge to the data domain, data loss such as rejecting less relevant attributes, and feature transformation such as transforming the values while processing nominal data. © 2022 IEEE.

关键词： Extraction

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A Novel knowledge Distillation Framework with Intermediate Loss for Android Malware Detection

A Novel Knowledge Distillation Framework with Intermediate L...

引用

2022 IEEE asia-pacific conference on Computer Science and Data engineering, CSDE 2022

作者： Xia, Mengzhen Xu, Zhicheng Zhu, Huijuan Jiangsu University Computer Science and Communication Engineering ZhenJiang China Jiangsu University Mathematical Sciences ZhenJiang China

ISBN: (纸本)9781665453059

With the popularity and self-contained functions of Android operating system, malicious attackers have targeted it primarily. Along with attackers are gradually skilled in avoid deep learning detectors, many in-depth researches on Android malware detection have been done. However, these works have complex models and enormous parameters. To settle this dilemma, we proposed a knowledge distillation architecture with intermediate loss to narrow the capability gap by promoting the student network emulate valuable hint knowledge from the intermediate layers of teacher network, based on Multi-Layer Perceptron (MLP). Besides, our framework utilizes static based features, namely permissions and vulnerabilities to effectively characterize applications and construct dataset. We evaluated our framework from various performance metrics and compared with other state-of-the-art deep neural networks. The experimen-tal results indicates that our framework own better performance and is perspective. © 2022 IEEE.

关键词： Distillation

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Smells of Misunderstanding in File Path Patterns within Dockerignore

Smells of Misunderstanding in File Path Patterns within Dock...

引用

asia-pacific conference on software engineering

作者： Tomoki Nakamaru Graduate School of Arts and Sciences The University of Tokyo Tokyo Japan

ISBN: (数字)9798331534011

ISBN: (纸本)9798331534028

Writing file path patterns is a common activity in software development, but the semantics of patterns are not common across developer tools. This fact leads to the following question: Do developers acknowledge such differences in the semantics of file path patterns? This paper presents our preliminary study to answer this question. We built a dataset of 246. dockerignore files collected from GitHub and mined them for smells of misunderstanding of the dockerignore semantics. Our initial analysis found such smells in 42 % of the dataset. This result may motivate further investigation into this problem.

关键词： Codes Semantics Writing Data mining software development management software engineering

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