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Optimal Trace Codes and Their Self-orthogonality

IEEE Transactions on Information Theory 2025年第6期71卷 4267-4283页

作者： Hyun, Jong Yoon Hu, Zhao Cheon, Eun Ju Wu, Yansheng Konkuk University Glocal Campus 268 Chungwon-daero Chungcheongbuk-do Chungju-si27478 Korea Republic of Hubei University School of Cyber Science and Technology Wuhan430062 China Hubei Provincial Engineering Research Center of Intelligent Connected Vehicle Network Security Wuhan430062 China Gyeongsang National University Department of Mathematics RINS Jinju52828 Korea Republic of Nanjing University of Posts and Telecommunications School of Computer Science Nanjing210023 China Jiangsu Cryptographic Technology Engineering Research Center Nanjing210023 China

The primary objective of this paper is the construction of optimal codes with self-orthogonality that can be used to construct quantum codes. Recently, Ding and Heng explored subfield codes, which can be viewed as trace codes. In this paper, we focus on investigating self-orthogonal optimal trace codes. First, we provide a novel description of trace codes by choosing suitable defining sets. Second, we determine the parameters of the codes and their trace codes whose defining sets are disjoint union of some affine subspaces in both non-projective cases and projective-cases. This result extends the main findings in (Hu, Li, Zeng, Wang, Tang, IEEE Trans. Inform. Theory, 68(7): 4408-4421, 2022). Third, we compute the parameters of trace codes for MacDonald codes, including the first order Reed-Muller codes and simplex codes as special cases. Finally, we examine their self-orthogonality and distance-optimality to find several classes of self-orthogonal Griesmer codes. Additionally, we resolve a problem proposed by Ding and Heng as a byproduct. © 1963-2012 IEEE.

关键词： Turbo codes

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Efficient survivable mapping algorithm for logical topology in IP-over-WDM optical networks against node failure

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Journal of Supercomputing 2023年第5期79卷 5037-5063页

作者： Cheng, Dun-Wei Chang, Jo-Yi Lin, Chen-Yen Lin, Limei Huang, Yanze Thulasiraman, Krishnaiyan Hsieh, Sun-Yuan Department of Computer Science and Information Engineering National Yunlin University of Science and Technology 123 University Road Yunlin64002 Taiwan Department of Computer Science and Information Engineering National Cheng Kung University No. 1 University Road Tainan701 Taiwan College of Mathematics and Informatics and the Key Laboratory of Network Security and Cryptology Fujian Normal University Fujian Fuzhou350117 China Fujian Provincial Key Laboratory of Big Data Mining and Applications School of Mathematics and Physics Fujian University of Technology Fujian Fuzhou350118 China Department of Computer Science University of Oklahoma 660 Parrington Oval NormanOK73019 United States Department of Computer Science and Information Engineering National Chi Nan University No. 1 Daxue Rd Nantou County Puli Township54561 Taiwan

The survivable mapping problem in an IP-over-WDM network with a logical graph and physical graph is the problem of finding a mapping of a logical network in a physical layer so that any failure in physical topology does not break the logical topology’s connection. Determining whether a survivable mapping against failure exists is an NP-complete problem, and therefore many heuristic algorithms have been proposed in the literature. In this paper, a heuristic mapping design strategy is proposed to enable the lightpaths to more efficiently endure a node failure. We individually consider the logical topology by building a Hamiltonian cycle and then deal with the mapping problem for disjoint physical paths. Experimental results demonstrate that the proposed algorithm can provide efficient survivable mapping in IP-over-WDM networks. The simulation shows that the survivability of previous methods (SNF and SMART-Node) is around 60–80%, but our proposed algorithm can build survivable mapping in all kinds of situations. © 2022, The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

关键词： Heuristic algorithms

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Prediction of miRNA family based on class-incremental learning

Prediction of miRNA family based on class-incremental learni...

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IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

作者： Yajun Liu Lulu Qiu Aimin Li Rong Fei Junhuai Li Fang-Xiang Wu Shaanxi Key Laboratory for Network Computing and Security Technology Xi'an University of Technology Xi'an China Department of Mechanical Engineering Department of Computer Science Division of Biomedical Engineering Saskatoon Canada

ISBN: (数字)9798350386226

ISBN: (纸本)9798350386233

With the development of deep sequencing, recent studies indicate that a miRNA precursor can generate multiple miRNA isoforms (isomiRs). The family prediction of canonical miRNAs and isomiRs could provide a basis for miRNA functional research. In this study, we propose a novel method for family identification of canonical miRNA and isomiRs based on incremental learning. First, a benchmark dataset is constructed by processing data based on miRNA sequences and their family annotation. Moreover, sequence embedding and RNN are used for capturing essential features and inherent dependencies within a sequence. Finally, incremental learning is applied to accommodate the continuous influx of miRNA sequencing data, enabling RNN to stay relevant and effective over time. Comparative experiments and ablation studies illustrate the effectiveness of our model, which can help to comprehensively understand miRNA’s function.

关键词： Sequential analysis Incremental learning Annotations Biological system modeling Benchmark testing Bioinformatics

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Highly Scalable Smart Metering IoT Platform Based on Microservice Architecture 6

Highly Scalable Smart Metering IoT Platform Based on Microse...

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6th International Conference on Smart Cities, Internet of Things and Applications, SCIoT 2022

作者： Parvizi, Mohammadreza Noei, Mohammadreza Yalpanian, Mohammadmostafa K. N Toosi University of Technology Department of Computer Engineering Tehran Iran George Mason University Department of Computer Science FairfaxVA United States Tiss Network Specialist Hamedan Iran

ISBN: (数字)9781665488914

ISBN: (纸本)9781665488914

In the past few years, the Internet of Things (IoT) technology has influenced communication world and has emerged diverse smart approaches in separate parts like education, manufacturing, transport, and healthcare. The goal of IoT is to connect various smart devices on the Internet, including motion detectors, smartphones, and sensors to analyze, handle, store, and process gathered data. Many challenges exist in IoT, such as diversity of IoT devices, plenty of connected devices, complexity, data volume, and communications privacy. The key part of IoT is IoT platform which solves the problems that we mentioned above. The IoT platform integrates applications, devices, and developers and manages connected devices. In this study, we aim to provide an IoT platform applying an architecture based on microservices for improving performance and flexibility of the technique compared to other related techniques. The experimental results have shown that our technique has better results compared to other related methods based on response time, memory and CPU usage, and throughput. Our method can be simplify to upgrade the system based on industrial conditions in real-world. © 2022 IEEE.

关键词： Web services

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Performance Analysis of Multiple High Altitude Platform Stations Cellular network Coverage 14

Performance Analysis of Multiple High Altitude Platform Stat...

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14th International Conference on Information and Communication Technology Convergence, ICTC 2023

作者： Lee, Jaeyeol Kim, Tae-Yoon Kim, Jae-Hyun Ajou University Department of Space Survey Information Technology Suwon16499 Korea Republic of Ajou University Department of Artificial Intelligence Convergence Network Suwon16499 Korea Republic of Ajou University Department of Electrical and Computer Engineering Suwon16499 Korea Republic of

ISBN: (纸本)9798350313277

The High Altitude Platform Station (HAPS) provides communication services within the stratosphere at an altitude ranging between 20 - 50 km. Utilizing the stable atmospheric conditions of the stratosphere, HAPS offers communication services over extensive areas while facilitating effective communication in line-of-sight (LoS) environments. This paper focuses on the analysis of HAPS cell coverage in a 3GPP standard based cellular communication network where multiple HAPS served as base stations based on the signal-to-interference-plus-noise ratio (SINR). Specifically, the study concentrates on whether user equipment (UE) positioned at the cell edge of the central HAPS maintains a downlink (DL) SINR above a certain threshold. Simulation results show that multiple HAPS 7-cell scenario coverage is achieved at 400 km2 and multiple HAPS one-cell scenario coverage is achieved at 230 km2 © 2023 IEEE.

关键词： HAPS SINR

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Improvement of Spiking Neural network with Bit Plane Coding

Improvement of Spiking Neural Network with Bit Plane Coding

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International Conference on Computational Intelligence and Communication networks (CICN)

作者： Nhan T. Luu Duong T. Luu Pham Ngoc Nam Truong Cong Thang Department of Computer Science and Engineering The University of Aizu Aizuwakamatsu Japan Information and Network Management Center Can Tho University Can Tho Vietnam College of Engineering and Computer Science VinUniversity Hanoi Vietnam

ISBN: (数字)9798331505264

ISBN: (纸本)9798331505271

Spiking neural networks (SNNs) have gained sig-nificant attention as a promising framework in computational neuroscience and artificial intelligence, offering benefits such as low energy consumption and minimal memory requirements. Despite these advantages, their practical deployment is hindered by several challenges, particularly in performance optimization. This paper introduces a novel methodology to enhance the performance of SNNs in image processing by leveraging a bit-plane-based coding scheme. The proposed approach is specifically designed to improve the accuracy of SNNs without increasing their model size. Comprehensive experimental evaluations demonstrate the efficacy of this coding strategy across multiple datasets. To the best of our knowledge, this work is the first to explore the application of bit-plane representation in the context of SNNs.

关键词： Energy consumption computer vision Image coding Accuracy Computational modeling Memory management Spiking neural networks Performance gain Optimization Context modeling

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NM-LUD: A NLOS Mitigation Method with Low-cost UWB Devices for Indoor Positioning 8

NM-LUD: A NLOS Mitigation Method with Low-cost UWB Devices f...

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8th International Conference on computer and Communication Systems, ICCCS 2023

作者： Wu, Tong Li, Han Gao, Bo Xiong, Ke Fan, Pingyi Ben Letaief, Khaled Eng. Res. Center of Network Management Technology for High Speed Railway of Ministry of Education School of Computer and Information Technology Beijing Jiaotong University Beijing100044 China Beijing Jiaotong University Collaborative Innovation Center of Railway Traffic Safety Beijing100044 China Beijing Jiaotong University National Engineering Research Center of Advanced Network Technologies Beijing100044 China Tsinghua University Department of Electronic Engineering Beijing100084 China Hong Kong University of Science and Technology Department of Electrical and Computer Engineering Hong Kong Hong Kong

ISBN: (纸本)9781665456128

Ultra-wideband (UWB) is a popular technology for indoor positioning. However, non-line-of-sight (NLOS) propagation caused by human occlusion dramatically affects the accuracy of UWB-based indoor positioning. Most of the existing works focused on mitigating NLOS errors in the scenarios with building structure occlusion, but the NLOS mitigation under human occlusion has not been well addressed. To this end, this paper aims to mitigate the NLOS impact of human occlusion, and then proposes a method of NLOS mitigation to reduce NLOS ranging errors under human occlusion with low-cost UWB devices (i.e., NM-LUD). It takes a set of signal features extracted from low-cost devices as input, calculates their weights and mitigates the ranging error based on the features' weights. Experiment results on the two data sets collected by LinkTrack S and UML1 UWB devices show that the method reduces ranging error from 0.9009 m to 0.1435 m (about by 84.07%) and from 0.7466 m to 0.0792 m (about by 89.39%) respectively, which greatly mitigates the influence of NLOS caused by human occlusion. © 2023 IEEE.

关键词： Costs

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HIAWSC: An Immune Algorithm Based Heuristic Web Service Composition Framework

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Chinese Journal of Electronics 2025年第3期23卷 579-585页

作者： Jiuyun Xu Reiff-Marganiec Stephan School of Computer and Communication Engineering China University of Petroleum Qingdao China Network and Switch Technology Key Laboratory Beijing University of Posts and Telecommunication Beijing China Department of Computer Science University of Leicester Leicester UK

The introduction of of web services has led to web service composition being a focus of many researchers. Composing web services using workflows is seen as the most realistic method from an industrial view-point. Amongst other method, the use of natural computing methods has been proposed previously to automate web service composition. The need for a fast response when computing the most suitable sequence of services is addressed in this paper. In particular, we propose a novel heuristic immune algorithm with an efficient encoding and mutation method. The algorithm involves two steps: an immune selection operation, which is maintaining antibody population diversity and the clonal selection. The use of a vaccine during the evolution provides heuristic information that accelerates the convergence. Our experimental results illustrate that the proposed heuristic immune algorithm is very effective in improving the convergence speed. We also provide a schema analysis for this method.

关键词： Web services Heuristic algorithms Antibodies Encoding Vaccines Convergence

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IOT Design and Water Monitoring of an Aquaponic System

IOT Design and Water Monitoring of an Aquaponic System

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Signal, Control and Communication (SCC), International Conference on

作者： Takrouni Hedfi Asma Houmia Mohamed Laabidi Omri Kaouther Electrical Engineering Department Higher Institute of Technological Studies Tozeur Tunisia Department of Electrical and Computer Network and Engineering University of Jeddah Saoudi Arabia

ISBN: (数字)9798350326390

ISBN: (纸本)9798350326406

The concept of smart agriculture involves integrating fish and plants in the same environment. This paper showcases an aquaponics system that utilizes an Arduino board, sensors, and hardware devices for its design and monitoring. The system is a closed-loop ecosystem that combines fish farming (aquaculture) and soilless plant growing (hydroponics). This innovative approach is beneficial for both the aquaculture and horticultural sectors as it enables the permanent reuse of water for breeding and reduces the use of chemical inputs in crop production management. The aquaponic system is self-regulating and can adjust itself when the pH, temperature, and water level sensors indicate that they are out of range. This is accomplished by combining the concept of embedded systems with the IOT (Internet of Things).

关键词： Temperature sensors Temperature measurement Smart agriculture Temperature distribution Hydroponics Fish Sensor systems

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MAPPO based Single-hop Task Offloading with Dynamic Vehicle Prediction in RSU-assisted IoV

MAPPO based Single-hop Task Offloading with Dynamic Vehicle ...

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Smart World Congress (SWC), IEEE

作者： Wei Zhao Dongling Yang Tangjie Weng Xinwei Xu Xun Shao Zhi Liu School of Computer Science and Technology Anhui University of Technology China School of Management Science and Engineering Anhui University of Technology China Department of Electrical and Electronic Information Engineering Toyohashi University of Technology Japan Department of Computer and Network Engineering The University of Electro-Communications Japan

ISBN: (数字)9798331520861

ISBN: (纸本)9798331520878

In the realm of Internet of Vehicles (IoV), Roadside Units (RSUs) play a vital role due to their advanced sensing and computing capabilities. They support Mobile Edge Computing (MEC) by enabling real-time data processing and reducing latency and energy consumption. Given the large volume of data and the limited computing capacity of RSUs, tasks are often offloaded to other nodes, such as the cloud, other RSUs, or vehicles. However, due to the environment dynamic caused by vehicle mobility, the set of neighboring nodes for each RSU frequently changes, and variations in neighboring nodes are not perceived timely. In such cases, RSUs need to predict changes in neighboring nodes to ensure effective task offloading. Moreover, since each RSU can only perceive the surrounding environment, it is difficult for a single node to make optimal offloading decisions for each task independently. To address these issues, this paper proposes a distributed task offloading scheme that incorporates vehicle trajectory prediction. First, each RSU uses the vehicle trajectories predicted by the Gated Recurrent Unit (GRU) model to determine neighboring vehicles and update the set of neighboring nodes. Then, to enable each RSU to select a suitable computing node and minimize computation delay and energy consumption for the task, we adopt a distributed approach where each RSU independently makes offloading decisions based on local observations. To achieve this goal, we establish a 01 mathematical model and transform it into a Markov Decision Process (MDP). Subsequently, we propose a solution based on Multi-Agent Proximal Policy Optimization (MAPPO). Through extensive simulation experiments, we demonstrate that the scheme effectively reduces both long-term average processing delay and energy consumption.

关键词： Energy consumption Computational modeling Transforms Predictive models Real-time systems Delays Trajectory Sensors Vehicle dynamics Optimization

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