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14th international conference on Cloud Computing, CLOUD 2021 held as Part of the Services conference Federation, SCF 2021

14th International Conference on Cloud Computing, CLOUD 2021...

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14th international conference on Cloud Computing, CLOUD 2021 held as Part of the Services conference Federation, SCF 2021

ISBN: (纸本)9783030963255

the proceedings contain 7 papers. the special focus in this conference is on Cloud Computing. the topics include: Electronic Card Localization Algorithm Based on Visible Light Screen communication;BBServerless: A Bursty Traffic Benchmark for Serverless;Performance Evaluation of Various RISC Processor systems: A Case Study on ARM, MIPS and RISC-V;comparative Analysis of Cloud Storage Options for Diverse Application Requirements;COS2: Detecting Large-Scale COVID-19 Misinformation in Social networks.

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Traffic Congestion Prediction Based on Multivariate Modelling and Neural networks Regressions 14

Traffic Congestion Prediction Based on Multivariate Modellin...

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14th international conference on Ambient systems, networks and Technologies networks, ANT 2023 and the 6th international conference on Emerging Data and Industry 4.0, EDI40 2023

作者： Fahs, Walid Chbib, Fadlallah Rammal, Abbas Khatoun, Rida Attar, Ali El Zaytoun, Issam Hachem, Joel Department of Computer and Communication Engineering IUL Wardanieh Lebanon LTCI France Faculty of Science Lebanese University Beirut Lebanon Kettering University 1700 University Ave FlintMI48504 United States

Smart traffic congestion reduction is actually a real challenge for big cities. Machine learning algorithms can play a significant role in traffic analysis, congestion prediction, and rerouting. In this paper, we propose a new prediction approach to reduce the traffic congestion problem by studying a scheme for predicting traffic flow information using four machine learning techniques: Feed Forward Neural networks (FFNN), Radial Basis Function Neural networks (RBFNN), simple linear regression model, and polynomial linear regression model. this prediction scheme is based on the following parameters: the average waiting time at entry and exit street pairs, the days of the week, hours of movement, holidays, and the rain rate. the results indicate that the FFNN technique overcomes the other techniques producing 97.6% prediction accuracy. © 2023 Elsevier B.V.. All rights reserved.

关键词： Traffic congestion

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Design and Implementation of Intelligent Acquisition Terminal Based on Modbus 14

Design and Implementation of Intelligent Acquisition Termina...

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14th IEEE international conference on Computational Intelligence and communication networks, CICN 2022

作者： Zhang, Bin Hu, Shejiao Hefei University of Technology Dept. of Information and Communication Engineering Anhui China

ISBN: (纸本)9781665487719

With the continuous development of social economy, intelligent acquisition terminal plays an important role in some remote and abusive environments. In this paper, an intelligent integrated acquisition terminal is proposed, which can be effectively applied to irrigation area information collection, earthquake disaster monitoring and other scenarios. the acquisition terminal (RTU) proposed in this paper adopts a design scheme combining GD32F407 embedded system and embedded industrial computer to complete data collection, processing, transmission, display, storage and intelligent control of equipment. the RTU acquisition base plate is designed by GD32F407 chip, including RS485, 4-20MA, SSI Gray code, relay control, Ethernet and other interfaces [1]. the RS485 interface uses Modbus Rtu protocol to request data from sensors connected to the outside. SSI Gray code interface can be connected to absolute value encoder to collect data, gray code interface carries on data transmission through 422 interface on hardware, and carries on data latching at corresponding edge through analog clock signal on software level. Modbus TCP protocol is used to exchange information between the acquisition baseboard and the industrial computer through Ethernet. the industrial computer runs the fast control configuration software, which can receive the transmitted data and realize intelligent control of external devices. © 2022 IEEE.

关键词： Embedded systems

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On the Performance of GI-POF-assisted Indoor Multi-Cell Wireless Optical communication System 14

On the Performance of GI-POF-assisted Indoor Multi-Cell Wire...

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14th IEEE international conference on Advanced Infocomm Technology (ICAIT)

作者： Zhang, Yuan Wei, Zixian Deng, Bohua Wang, Zhaoming Fu, H. Y. Tsinghua Univ Tsinghua Berkeley Shenzhen Inst TBSI Shenzhen Peoples R China Peng Cheng Lab PCL Shenzhen Peoples R China

ISBN: (数字)9781665471565

ISBN: (纸本)9781665471565

the concept of graded-index plastic optical fiber (GI-POF)-assisted indoor multi-cell wireless optical communication system for in-home networks is proposed and experimentally demonstrated in this paper. Plastic optical fiber (POF) is used to connect different cells, then the uplink and downlink between AP and end-user in the same cell are based on near-infrared (NIR) vertical cavity surface emitting laser (VCSEL) array and micro-light-emitting-diode (micro-LED) respectively. the real-time performance evaluation is based on simple on-off keying (OOK) modulation format. All the single links in the network can provide communication data rates above 2 Giga-bites per second (Gbps) and the dual-hop link between access point (AP) to end-users from other cells can reach 1.3 Gbps. the results showed that the proposed system represents a viable concept to offer full-duplex communication to future in-home networks.

关键词： visible light communication (VLC) plastic optical fiber (POF) in-home network

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Distributed data reduction with decision-making for IoT-based smart farming irrigation systems 14

Distributed data reduction with decision-making for IoT-base...

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14th international conference on Computing communication and Networking Technologies, ICCCNT 2023

作者： Hasan, Zahraa Yaseen Kadhum Idrees, Ali University of Babylon Department of Software Babylon Iraq University of Babylon Department of Information Networks Babylon Iraq

ISBN: (纸本)9798350335095

the more crucial process and one of the world's major consumers of water in agriculture is irrigation, which has been growing as a result of population growth and the resulting rise in demand for food. the irrigation system is one of the most important components of a system of agriculture. the crop's productivity will be directly influenced by the efficiency and applicability of the irrigation system. Water scarcity is one of the greatest challenges for an irrigation system. the efficient use of land, water, and energy resources depends on Internet of things (IoT)-based smart agriculture systems. In this article, a distributed data reduction and decision-making (DiDaReD) approach for IoT-based smart farming irrigation systems is proposed. the DiDaReD approach is implemented on two levels: sensor devices and edge gateway. At the sensor device level, we implemented a lightweight scoring method for removing the redundant collected soil moisture readings before sending them to the edge gateway. At the edge of the gateway, a voting technique is applied to the scores of received readings from sensor devices to produce a decision regarding irrigation of the monitored farming field according to the soil moisture state of this field. Finally, since the DiDaReD approach is periodic and works in real-time, we implement a decision reduction algorithm to prevent sending the same decision notifications to the actuator, thus saving the energy of the IoT network. Several experiments are implemented using real sensed data from the farming field, and the conducted results show that the proposed DiDaReD outperforms other methods in terms of data reduction ratio, number of sent readings, energy consumption, network lifetime, data integrity, decisions, and total energy consumed by the edge-gateway node. © 2023 IEEE.

关键词： Internet of things

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Joint Computation Offloading and Resource Allocation for Low-Earth Orbit Satellites MEC networks 14th

Joint Computation Offloading and Resource Allocation for L...

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14th EAI international conference on Wireless and Satellite systems, WiSATS 2024

作者： Wang, Meng Wang, Yaqiong Zhang, Cheng Zhou, Hui Yi, Longteng Institute of Telecommunication and Navigation Satellites China Academy of Space Technology Beijing100094 China Innovation center for Satellite Communication Systems Beijing100094 China

ISBN: (纸本)9783031861956

this study addresses the challenges of joint computation offloading and resource allocation in low-earth orbit (LEO) satellite networks. To effectively manage the computational demands of LEO satellites, we propose a collaborative framework that allows each LEO satellite to offload tasks either to high-earth orbit (GEO) satellites or to multi-access edge computing (MEC) servers on the ground. Our goal is to jointly optimize the offloading ratio, computational frequency, transmission power, and bandwidth utilization of the LEO satellites, aiming to minimize the overall energy consumption while adhering to latency requirements. We formulate this challenge as a non-convex optimization problem and introduce an energy-efficient layered optimization approach to address it with reduced complexity. this involves breaking down the original problem into several manageable subproblems, which are solved sequentially to achieve a suboptimal solution. the simulation results confirm the effectiveness of our method, demonstrating its advantages over existing benchmark algorithms. © ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2025.

关键词： Convex optimization

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Trustworthy Intelligent systems: An Ontological Model 14

Trustworthy Intelligent Systems: An Ontological Model

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14th international conference on Knowledge Engineering and Ontology Development, KEOD 2022 as part of 14th international Joint conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, IC3K 2022

作者： Olszewska, J.I. School of Computing and Engineering University of the West of Scotland United Kingdom

ISBN: (纸本)9789897586149

Nowadays, there is an increased use of AI-based technologies in applications ranging from smart cities to smart manufacturing, from intelligent agents to autonomous vehicles. One of the main challenges posed by all these intelligent systems is their trustworthiness. Hence, in this work, we study the attributes underlying Trustworthy Artificial Intelligence (TAI), in order to develop an ontological model providing an operational definition of trustworthy intelligent systems (TIS). Our resulting Trustworthy Intelligent System Ontology (TISO) has been successfully applied in context of computer vision applications. Copyright © 2022 by SCITEPRESS – Science and Technology Publications, Lda. All rights reserved.

关键词： Intelligent systems

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Entity disambiguation method based on Graph Attention networks 14

Entity disambiguation method based on Graph Attention Networ...

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14th international conference on Measuring Technology and Mechatronics Automation, ICMTMA 2022

作者： Qiang, Chengyu Li, Xiaogo Ma, Xianyan Han, Wei Yao, Yi School of Computer Science and Technology Xi'an University of Posts and Telecommunications Shaanxi Xi'an71012 China Shaanxi Key Laboratory of Network Data Analysis and Intelligent Processing Shaanxi Xi'an710121 China Xi 'an Key Laboratory of Big Data and Intelligent Computing Shaanxi Xi'an710121 China

ISBN: (纸本)9781665499781

Entity disambiguation based on entity-link is a technique which constructs the mappings between entity reference items appearing in the short text and target entity in knowledge base respectively. In this paper we propose an entity disambiguation method based on Graph Attention networks for semi-structured knowledge base data. First, a global Knowledge Graph is constructed from the semi-structured knowledge base, and the entity reference items are embedded by Bert pre-trained model meanwhile. Next, Graph Attention networks which leverages masked self-attention layers is applyed on candidate entity nodes of global Knowledge Graph to fetch a vector of node level. Furtherly, we compute similarity scores rank between the entity reference items and the candidate entity to complete the task of entity disambiguation. the experimental results on CCKS2019 dataset achieve state-of-the-art. © 2022 IEEE

关键词： Natural language processing systems

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Development of Proximity-Coupled-Fed S-Band Array Antenna for Microwave Imaging 14

Development of Proximity-Coupled-Fed S-Band Array Antenna fo...

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14th IEEE international conference on Computational Intelligence and communication networks, CICN 2022

作者： Muliyani, Sri Ningrum, Fauzia Anis Sekar Edwar Munir, Achmad School of Electrical Engineering and Informatics Institut Teknologi Bandung Radio Telecommunication and Microwave Laboratory Bandung Indonesia School of Electrical Engineering Telkom University Satellite Communication and Radar Laboratory Bandung Indonesia

ISBN: (纸本)9781665487719

this paper deals with the development of a proximity-coupled-fed S-band array antenna intended for microwave imaging application. the array antenna which is designed to work at the center frequency of 3 GHz is employed as a sensing device to transmit and receive emitted electromagnetic waves. the proposed array antenna is deployed on two layers of FR4 epoxy dielectric substrate and composed of four square patches arranging in a 2 × 2 configuration. After hardware realization, the fabricated array antenna is experimentally characterized and measured in an anechoic chamber. the characterization result demonstrate that the fabricated array antenna has the reflection coefficient of -17.29 dB at its center frequency, with the fractional bandwidth of 9.3% in the frequency range from 2.92 GHz to 3.2 GHz. these results are comparable to the simulated ones and adequate for the desired application. © 2022 IEEE.

关键词： Antenna feeders

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Joint Precoding and Jamming Design for Secure Transmission in NOMA-ISAC networks 14

Joint Precoding and Jamming Design for Secure Transmission i...

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14th IEEE international conference on Wireless communications and Signal Processing (WCSP)

作者： Li, Dongdong Yang, Zhutian Zhao, Nan Wu, Zhilu Li, Yonghui Niyato, Dusit Harbin Inst Technol Sch Elect & Informat Engn Harbin Peoples R China Dalian Univ Technol Sch Informat & Commun Engn Dalian Peoples R China Univ Sydney Sch Elect & Informat Engn Sydney NSW Australia Nanyang Technol Univ Sch Comp Sci & Engn Singapore Singapore

ISBN: (纸本)9781665450850

Integrated sensing and communication (ISAC) is an up-and-coming technique for future 6G networks. However, the communication message carried by the detection waveform will face the risk of being eavesdropped, which leads to the challenge of wireless security for ISAC networks. In this paper, we leverage non-orthogonal multiple access (NOMA) to support more users for the ISAC network, with the precoding well designed to guarantee the security. Specifically, we formulate a joint precoding optimization problem to maximize the sum secrecy rate for multiple users via artificial jamming, where the superimposed signal for NOMA users can be concurrently employed for the target detection. Since the optimization problem is non-convex, it is transformed into a convex one based on successive convex approximation (SCA). then, we propose an iterative algorithm, through which the original optimization problem can be solved effectively. Simulation results show that the proposed secure NOMA-ISAC scheme can guarantee the secure transmission while ensuring the sensing performance.

关键词： Integrated sensing and communication non-orthogonal multiple access physical layer security precoding optimization

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