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作者： Kim, Jangheon Mkadem, Farouk Boumaiza, Slim Telecommunication System Division Digital Media and Communication Business Samsung Electronics Co. Ltd 416 Maetan 3-dong Yeongtong-gu Suwon-si Gyeonggi-do 443-742 Korea Republic of Department of Electrical and Computer Engineering University of Waterloo 200 University Ave West Waterloo ON N2L 3G1 Canada

ISBN: (纸本)9782874870156

This paper proposes a new broadband saturated power amplifier (SPA) with a distributed second harmonic termination supporting multi-band/multi-mode operation. The proposed network is composed of a fundamental matching circuit and multiple second harmonic termination circuits. Due to the multiple harmonic terminations, the proposed PA improves the frequency range where the PA can achieve a high efficiency. The proposed PA is fabricated using a 45 W Cree CGH40045 GaN HEMT. Drain efficiencies of greater than 60% (average 66%) are achieved between about 1.8 GHz and 2.3 GHz (500 MHz bandwidth). When driven with long term evolution (LTE) and two carrier wideband code division multiple access (WCDMA) signals at DCS1800, PCS1900, and WCDMA bands, the linearity specifications of the corresponding standards are satisfied using the digital predistortion linearization technique, and it attains an efficiency of greater than 30%. © 2010 EuMA.

关键词： III-V semiconductors

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Energy Optimization for Cellular-Connected Multi-UAV Mobile Edge Computing systems with Multi-Access Schemes

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Journal of Communications and Information Networks 2018年第4期3卷 33-44页

作者： Meng Hua Yongming Huang Yi Wang Qingqing Wu Haibo Dai Lyuxi Yang School of Information Science and Engineering Southeast UniversityNanjing 210096China School of Electronics and Communication Engineering Zhengzhou University of AeronauticsZhengzhou 450046China National Digital Switching System Engineering and Technological Research Center Zhengzhou 450002China Department of Electrical and Computer Engineering National University of SingaporeSingapore School of Internet of Things Nanjing University of Posts and TelecommunicationsNanjing 210003China

In this paper,a cellular-connected unmanned aerial vehicle(UAV)mobile edge computing system is studied where several UAVs are associated to a terrestrial base station(TBS)for computation *** compute the large amount of data bits,a part of computation task is migrated to TBS and the other part is locally handled at *** goal is to minimize the total energy consumption of all UAVs by jointly adjusting the bit allocation,power allocation,resource partitioning as well as UAV trajectory under TBS’s energy *** deeply comprehending the impact of multi-UAV access strategy on the system performance,four access schemes in the uplink transmission is considered,i.e.,time division multiple access,orthogonal frequency division multiple access,one-by-one access and non-orthogonal multiple *** involved problems under different access schemes are all formulated in non-convex forms,which are difficult to be tackled *** solve this class of problem,the successive convex approximation technique is employed to obtain the suboptimal *** numerical results show that the proposed scheme save significant energy consumption compared with the benchmark schemes.

关键词： mobile edge computing UAV trajectory bit allocation power allocation resource partitioning energy minimization

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A Scheme for Authentication and Traceability of 5G Mobile Terminal Based on IPv6 and Blockchain

A Scheme for Authentication and Traceability of 5G Mobile Te...

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International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Xinsheng Ji Ying Zhao Xingxing Liao Jie Yang Chunxiao Wang Department of Computer Science and Technology Tsinghua University Beijing China National Digital Switching System Engineering & Technological R&D Center Zhengzhou China Purple Mountain Laboratories Nanjing China School of Cyber Science and Engineering Southeast University Nanjing China

ISBN: (数字)9798350390643

ISBN: (纸本)9798350390650

To satisfy the service-side requirements for network layer authentication and traceability of users, this paper proposes a method for mobile terminal authentication and identity tracing based on IPv6 and blockchain. Our method introduces a new verification function (VEF) to verify the interface identification between the terminal and the 5G core network (5GC), thereby effectively enhancing the security of terminal access. Furthermore, considering the privacy protection of user identity information to prevent attackers from deducing encrypted content, it is necessary to periodically update encryption keys. Focusing on the practical deployment of VEFs on a network-wide scale and server-proximal for authentication and traceability, a time-varying key sharing scheme based on blockchain is proposed. The experimental section analyzes the communication performance and security of the proposed scheme, showing that our scheme does not significantly degrade the original network performance while providing substantial security gains.

关键词： Wireless communication Privacy 5G mobile communication Authentication Signal processing User experience Blockchains Synchronization Noise measurement Protection

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Investigation of Creating Accessibility Linked Data Based on Publicly Available Accessibility Datasets 23

Investigation of Creating Accessibility Linked Data Based on...

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Proceedings of the 2023 13th International Conference on Communication and Network Security

作者： Yufeng Li Xu Yan Mingxuan Xiao Weimin Wang Fei Zhang Department of Digital Information Technology Zhejiang Technical Institute of Economics China and Department of Electronics and Computer Science University of Southampton United Kingdom Department of Computer Science Trine University USA Department of Computer Science McDonald (China) Co. Ltd. China and Department of Computer Science SouthWest JiaoTong University China Department of Computer Science Alibaba International China and School of Engineering Hong Kong University of Science and Technology China Department of Computer Science Trine University USA and Department of Geographic Information System Yangtze University China

ISBN: (纸本)9798400707964

With the fast growth of web, the web is full of diverse data. Linked Data is data on the web that gives URIs to entities and links different data from different domains together, which results in the part of the web infrastructure. Since the dramatic development of Linked Data movement, a great number of accessibility datasets have been published as open data on the web by governments or organizations so that they can be accessed and reused by anyone without any restriction. However, the majority of the accessibility datasets available on the web are in diverse formats such as HTML table, Excel and CSV, rather than Linked Data format – RDF. This paper mainly investigates the method of creating accessibility Linked Data based on the publicly existing available accessibility datasets. First of all, requested accessibility data was extracted from the accessibility dataset. Moreover, Jena RDF API is applied to create RDF documents based on the extracted data from the accessibility dataset. Compared to other approaches such as transforming XML to RDF via schema, current method of this project does not have mapping work and it shows significant convenience. Finally, a triple store was set up to sever the RDF documents. In addition, the server has query interface support for test; as a result, users could query the data they need. In the future development, relevant dataset links would be added to current RDF documents. At last the accessibility RDF dump would be published on the web as a part of the web infrastructure. Index Terms—Linked Data, Open Data, Semantic Web, Accessibility Dataset.

关键词： Accessibility Dataset. Linked Data Open Data Semantic Web

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An intelligent cylindrical reflector for airborne virus detection

An intelligent cylindrical reflector for airborne virus dete...

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IEEE SSD International Multi-Conference on systems, Signals and Devices

作者： Ahmed Hadded Mossaad Ben Ayed Shaya A. Alshaya National Engineering School Of Sfax Sfax University Computer and Embedded System Laboratory Sfax Tunisia Electronic Industrial ENISo Sousse University Tunsia Computer and Embedded System Laboratory ENIS Sfax University Tunisia Sfax Tunisia Department of Computer Science Faculty of Sciences and Humanities Sciences Majmaah University Dean of Digital Transformation and e-Transactions Prince Sultan University Majmaah Saudi Arabia

In 2020, the world suffered from the COVID-19 pandemic. This situation highlighted the considerable need for systems to detect viruses quickly. Providing an accurate e-health system that detects, monitors, and controls virus spread became necessary. Countries attempt to reduce the virus's spread using basic processes such as quarantine and lockdown. Early virus detection is requested to reduce the threat and decrease the propagation of the pandemic. This paper proposes an attempt to avoid speed-up spreading based on airborne virus detection. The suggested detection based on the SiNW-FET biosensor is not approved as a standardized diagnostic test. To support the airborne detection methodology, a metasurface technology based on Reflector cylindrical antenna with a sensing unit is proposed to detect viruses. The proposal considered the propagation delays and concentration of a virus. Conducted results prove that the receiver's volume is considered a primary key to an accurate detection rather than the virus's concentration.

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An intelligent guided-airborne virus detection

An intelligent guided-airborne virus detection

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International Conference on Sciences and Techniques of Automatic Control and computer engineering (STA)

作者： Ahmed Hadded Mossaad Ben Ayed Shaya A. Alshaya Computer and Embedded System Laboratory National Engineering School Of Sfax Sfax University Sfax Tunisia Electronic Industrial ENISoSousse University Tunisia Computer and Embedded System Laboratory ENIS Sfax University Tunisia Sfax Tunisia Department of computer science Faculty of sciences and humanities sciences Majmaah University Dean of digital transformation and e-transactions Prince Sultan University Majmaah Saudi Arabia

ISBN: (纸本)9781665482622

Health has recently faced many challenges, including improving a healthy environment and reducing human life's dangers and economic crises. The last pandemic COVID-19 had badly affected survivor sectors with infection and lockdown exigence. Scientists proposed several solutions to reduce the negative impact of a such pandemic by proposing systems for earlier detection of viruses. The use of metamaterials as an emerging technology in the biosensors field allows a high accuracy. This paper presents a method for detecting and capturing airborne viruses using metasurface technology. The goal is to develop a system that can identify and capture these viruses using FET sensors. The accuracy of the detection is tied to the concentration of aerosols. The model proposes a guided flow of aerosols that positively impacts the detection of viruses through the FET biosensor. The simulation results based on Concentration and airflow velocity delays prove the proposed model's performance.

关键词： COVID-19 computer viruses Pandemics Atmospheric modeling Biological system modeling Field effect transistors Aerosols

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Evaluating the Performance to Detecting Topic Shift of Large Language Models: A Study 9

Evaluating the Performance to Detecting Topic Shift of Large...

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9th International Conference on Intelligent Computing and Signal Processing, ICSP 2024

作者： Tian, Pingfang Liu, Deting Department of Computer Science and Technology Wuhan University of Science and Technology Wuhan430065 China Institute of Scientific and Technical Information of China The Key Laboratory of the Rich Media Knowledge Organisation and Service of Digital Publishing Content Beijing100038 China Hubei Province Key Laboratory of Intelligent Information Processing and Real-time Industrial System Wuhan China Big Data Science and Engineering Research Institute Wuhan University of Science and Technology Wuhan430065 China

ISBN: (纸本)9798350376548

Topic shift detection aims to identify whether there is a change in the current topic of conversation or if a change is needed. The study found previous work did not evaluate the performance of large language models like ChatGPT on the task of topic shift. Therefore, this paper's main task and innovation lie in analyzing ChatGPT's performance on topic shift detection. To provide a more comprehensive evaluation, we conducted topic shift detection tasks on ChatGPT from three aspects: single utterances, adjacent utterances, and contextual levels. Additionally, to gauge the performance of large language models, we conducted experiments on multiple small-scale models and compared the results of the two models. Experimental results on the publicly available English TIAGE dataset showed that small-scale models exhibited lower recall in all three aspects, while ChatGPT performed better in the recall. This suggests that compared to small-scale models, large models are more capable of accurately detecting topic shifts. However, large models also exhibited lower precision, indicating that while ChatGPT can recognize content differences in utterances, its judgment on whether these different contents belong to the same topic is poor. © 2024 IEEE.

关键词： adjacent utterances level ChatGPT contextual level single utterances level topic shift detection

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Free Space Optical Communication for Inter-Satellite Link: Architecture, Potentials and Trends

arXiv

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arXiv 2023年

作者： Wang, Guanhua Yang, Fang Song, Jian Han, Zhu The Department of Electronic Engineering Beijing National Research Center for Information Science and Technology Tsinghua University Beijing10084 China Key Laboratory of Digital TV System of Guangdong Province and Shenzhen City Shenzhen518057 China The Electrical and Computer Engineering Department University of Houston HoustonTX77004 United States The Department of Computer Science and Engineering Kyung Hee University Seoul446-701 Korea Republic of

The sixth-generation (6G) network is expected to achieve global coverage based on the space-air-ground integrated network, and the latest satellite network will play an important role in it. The introduction of inter-satellite links (ISLs) can significantly improve the throughput of the satellite network, and recently gets lots of attention from both academia and industry. In this paper, we illustrate the advantages of using the laser for ISLs due to its longer communication distance, higher data speed, and stronger security. Specifically, space-borne laser terminals with the acquisition, pointing and tracking mechanism which realize long-distance communication are illustrated, advanced modulation and multiplexing modes that make high communication rates possible are introduced, and the security of ISLs ensured by the characteristics of both laser and the optical channel is also analyzed. Moreover, some open issues such as advanced optical beam steering, routing and scheduling algorithm, and integrated sensing and communication are discussed to direct future research. © 2023, CC BY-NC-ND.

关键词： Scheduling algorithms

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GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud Detection

arXiv

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arXiv 2023年

作者： Hu, Xinxin Chen, Haotian Zhang, Junjie Chen, Hongchang Liu, Shuxin Li, Xing Wang, Yahui Xue, Xiangyang National Digital Switching System Engineering and Technological Research Center Zhengzhou450002 China Department of Electrical & Computer Engineering University of Toronto TorontoM5S 3G4 Canada Institute of Big Data Fudan University Shanghai China

Along with the rapid evolution of mobile communication technologies, such as 5G, there has been a drastically increase in telecom fraud, which significantly dissipates individual fortune and social wealth. In recent years, graph mining techniques are gradually becoming a mainstream solution for detecting telecom fraud. However, the graph imbalance problem, caused by the Pareto principle, brings severe challenges to graph data mining. This is a new and challenging problem, but little previous work has been noticed. In this paper, we propose a Graph ATtention network with COst-sensitive BOosting (GAT-COBO) for the graph imbalance problem. First, we design a GAT-based base classifier to learn the embeddings of all nodes in the graph. Then, we feed the embeddings into a well-designed cost-sensitive learner for imbalanced learning. Next, we update the weights according to the misclassification cost to make the model focus more on the minority class. Finally, we sum the node embeddings obtained by multiple cost-sensitive learners to obtain a comprehensive node representation, which is used for the downstream anomaly detection task. Extensive experiments on two real-world telecom fraud detection datasets demonstrate that our proposed method is effective for the graph imbalance problem, outperforming the state-of-the-art GNNs and GNN-based fraud detectors. In addition, our model is also helpful for solving the widespread over-smoothing problem in GNNs. The GAT-COBO code and datasets are available at https://***/xxhu94/GAT-COBO. Copyright © 2023, The Authors. All rights reserved.

关键词： Embeddings

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RJSSIM: A reconfigurable job scheduling smulator for parallel processing learning

RJSSIM: A reconfigurable job scheduling smulator for paralle...

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Frontiers in Education (FIE) Conference

作者： L.FW. Goes C.A.P.S. Martins Electrical Engineering Computational and Digita Systems Laboratory Pontifical Catholic University of Minas Gerais Belo Horizonte Minas Gerais Brazil Computer Science Department Elechical Engineering Computational and Digital System Laboratory Pontifical Catholic University of Minas Gerais Belo Horizonte Minas Gerais Brazil

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