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检索条件"任意字段=14th International Conference on COMmunication Systems and NETworkS, COMSNETS 2022"

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Sustainable Substrate Design for High-Performance Wi-Fi Antennas in Green Electronics 14

Sustainable Substrate Design for High-Performance Wi-Fi Ante...

引用

14th IEEE international conference on communication systems and Network Technologies, CSNT 2025

作者： Mishra, Niketan Kumar Sen, Deepak Rajput, Rana Pratap Singh Rajput, Varun Depratment of Electrnics and Communication Engineering Lakshmi Narain College of Technology & Science Kalchuri Nagar Raisen Road Madhya Pradesh Bhopal462022 India Depratment of Electrnics and Communication Engineering Lakshmi Narain College of Technology Excellence Khajuri Khurd Raisen Road Madhya Pradesh Bhopal462022 India

ISBN: (纸本)9798331531935

Microstrip patch antennas are important parts of modern wireless communication systems because of their compact size, high efficiency, and versatility. In this paper, the effect of the properties of the substrate material on the performance of coaxial-feed rectangular microstrip patch antennas operating within the Wi-Fi band (2.4-2.485 GHz) is investigated. A comparative analysis was thus carried out on substrates such as FR-4 and RT Duroid 5870 using CST Studio Suite, evaluating gain, directivity, bandwidth, and return loss. this shows that low dielectric substrates, such as those of Rogers 5870, offer better performance since they provide optimal impedance matching, increased gain, and least return loss, thereby recommended for high-frequency applications. this study underlines the importance of substrate optimization in designing energy-efficient and green antennas for next-generation technologies such as 5G, IoT, and wireless sensor networks in the context of green electronics and sustainable communication systems. © 2025 IEEE.

关键词： Microstrip antennas

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Reconfigurable Metamaterials Consist of Cross and Split Rings 14

Reconfigurable Metamaterials Consist of Cross and Split Ring...

引用

14th international conference on Microwave and Millimeter Wave Technology (ICMMT)

作者： Chen, Kanglong Ruan, Cunjun Beihang Univ Sch Elect & Informat Engn Beijing 100191 Peoples R China Beihang Univ Beijing Key Lab Microwave Sensing & Secur Applica Beijing 100191 Peoples R China

ISBN: (纸本)9781665467520

A series of metamaterials consisting of cross and split rings have been proposed. the direction of the split ring's gap will determine the symmetric of these metamaterials. Six of these metamaterials have been fabricated and measured. the measurement results follow the simulation. the resonance point can be used as feature points to carry 0 and 1 codes messages, so these kinds of metamaterials can be used as a modulator in terahertz communication. And to make the metamaterials tune, CMOS is proposed to deposit in the gap of the split ring. therefore, terahertz can be modulated purposive to transform messages.

关键词： metamaterials terahertz communication Fano resonance CMOS

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Pipelined and Low-Power MAC Unit with Sparsity-Aware Encoding for Neural Network Applications 14

Pipelined and Low-Power MAC Unit with Sparsity-Aware Encodin...

引用

14th IEEE international conference on communication systems and Network Technologies, CSNT 2025

作者： Mruthyunjai Sriram, E. Ramesh, S.R. Department of Electronics and Communication Engineering Amrita School of Engineering Amrita Vishwa Vidyapeetham Coimbatore India

ISBN: (数字)9798331531935

ISBN: (纸本)9798331531935

Multiply- Accumulate Units (MACs) are basic blocks in accelerators for neural networks, which need both high throughput and low power consumption to optimize matrix and vector computations. the present work proposes a new pipelined MAC architecture targeting neural network operations, focusing on issues concerning power efficiency and performance in computation. the proposed design exploits sparsity-aware methods to remove unnecessary operations with zero or redundant inputs, which reduces energy consumption significantly. An optimized pipeline architecture ensures decreased latency and increased throughput that makes the design suitable for real-time applications. Experiment results reveal that the proposed MAC unit performs very well in terms of power efficiency and processing speed compared to state-of-the-art architectures. this shows its suitability for energy-efficient neural network accelerators. © 2025 IEEE.

关键词： Arts computing

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Consumer profiling using clustering methods for georeferenced decision support in a water distribution system 14

Consumer profiling using clustering methods for georeference...

引用

14th international conference on Electronics, Computers and Artificial Intelligence, ECAI 2022

作者： Arsene, Diana Predescu, Alexandru Truica, Ciprian-Octavian Apostol, Elena-Simona Mocanu, Mariana Chiru, Costin Automatic Control and Computers University Politehnica of Bucharest Bucharest Romania

ISBN: (数字)9781665495356

ISBN: (纸本)9781665495356

Discovering the habits of consumers is essential for effective decision support in smart water networks. While smart water meters can provide detailed consumption data for individual households, additional information can be extracted based on the geographical coordinates, to highlight the distribution of consumer behaviors within a given area. In this paper, multiple processing stages are used to evaluate the available data collected from a previous study. the OPTICS clustering method is used to cluster the data based on coordinates, while K-Means clustering is used to extract the consumer patterns for each identified zone. the standard deviation of the seasonal component is used to classify the resulting consumer behaviors from the least desirable to the most desirable, towards achieving more sustainable behaviors and operations from the perspective of water resource management and urban water infrastructure. the results are promising towards the development of georeferenced decision support systems for water resource management. © 2022 IEEE.

关键词： Decision support systems

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On the Optimization of User Allocation in Heterogeneous 5G networks Using DUDe Techniques 14

On the Optimization of User Allocation in Heterogeneous 5G N...

引用

14th international conference on Ubiquitous and Future networks, ICUFN 2023

作者： Tsachrelias, Konstantinos Gkamas, Apostolos Katsigiannis, Chrysostomos-Athanasios Bouras, Christos Kokkinos, Vasileios Pouyioutas, Philippos University of Patras Computer Engineering and Informatics Department Patras Greece University Ecclesiastical Academy of Athens Athens Greece University of Nicosia Computer Science Department Nicosia Cyprus

ISBN: (纸本)9798350335385

In previous years, 3G and 4G cellular homogeneous networks configured with macro Base Stations (BSs) relied only on the downlink signal, even though transmission power and interference levels differ significantly between uplink and downlink. In 5G Heterogeneous networks (HetNet), a new generation which have multiple BSs of different types such as Femto BS and Macro BS, there is the possibility of choosing to receive the data from one BS and transmit them to a different BS, and therefore decoupling the uplink and downlink. Especially, the increasing demand for faster, more reliable, and efficient connectivity has made the optimization of User Equipment (UE) allocation in 5G networks a crucial task. To tackle the challenges posed by heterogeneous 5G networks, this study compares and evaluates the performance of Downlink/Uplink Decoupling (DUDe) and traditional Downlink/Uplink Coupled (DUCo) user allocation approaches. Simulation results show that DUDe UE allocation outperforms DUCo by providing improved network performance and more efficient utilization of network resources in diverse network conditions. these findings have important implications for the design and optimization of 5G networks and provide valuable insights for researchers and practitioners in the field. © 2023 IEEE.

关键词： 5G mobile communication systems

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Read-Rate Improvement in 920MHz RFID System with Circular-Polarized 2D Beam Scan R/W Antenna 14

Read-Rate Improvement in 920MHz RFID System with Circular-Po...

引用

14th international conference on Ubiquitous and Future networks, ICUFN 2023

作者： Yamao, Yasushi Funayama, Sora The University of Electro-Communications Advanced Wireless & Communication Research Center 1-5-1 Chofugaoka Tokyo Chofu-shi182-8585 Japan

ISBN: (纸本)9798350335385

Radio frequency identification (RFID) is a promising Internet of things (IoT) solution that bring about innovation in supply chain management. However, RFID has a read reliability issue in multipath radio propagation environment. In order to improve the reliability, we proposed a reader/writer (R/W) beam modulating scheme with a moving conductor. By modulating the R/W antenna beam, the multipath propagation structure can be changed and null points caused by standing waves are shifted. thus, read success rate can be improved by the combination of repeated transmission and selection combining. In this paper, we propose a new 2D beam scan antenna for circular-polarized operation that is necessary for actual RFID systems. It has been confirmed from the simulation that the electric field distribution in a typical storage shelf can be changed by the proposed scheme. A prototype beam modulator with a decentered rotating circular conductor is fabricated and tested. RFID read measurement result shows that the proposed scheme can reduce the dead zone rate to less than half of the normal system. © 2023 IEEE.

关键词： Radio frequency identification (RFID)

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Deep Learning for thz Channel Estimation and Beamforming Prediction via Sub-6GHz Channel 14

Deep Learning for THz Channel Estimation and Beamforming Pre...

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

作者： Bhattacharya, Sagnik Gupta, Abhishek K. IIT Kanpur Deptof Elect Engn Kanpur Uttar Pradesh India

ISBN: (数字)9781665482509

ISBN: (纸本)9781665482509

An efficient channel estimation is of vital importance to help thz communication systems achieve their full potential. Conventional uplink channel estimation methods, such as least square estimation, are practically inefficient for thz systems because of their large computation overhead. In this paper, we propose an efficient convolutional neural network (CNN) based thz channel estimator that estimates the thz channel factors using uplink sub-6GHz channel. Further, we use the estimated thz channel factors to predict the optimal beamformer from a pre-given codebook, using a dense neural network. We not only get rid of the overhead associated with the conventional methods, but also achieve near-optimal spectral efficiency rates using the proposed beamformer predictor. the proposed method also outperforms deep learning based beamformer predictors accepting thz channel matrices as input, thus proving the validity and efficiency of our sub-6GHz based approach.

关键词： thz communication convolutional neural network deep learning channel estimation and beamforming

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Adaptive Neuro-Fuzzy Inference System-Based DC Voltage Sensor for Solar Energy Measurement 14

Adaptive Neuro-Fuzzy Inference System-Based DC Voltage Senso...

引用

14th IEEE international conference on Humanoid, Nanotechnology, Information Technology, communication and Control, Environment, and Management, HNICEM 2022

作者： Calinao, Hilario A. Gustilo, Reggie C. Dadios, Elmer Concepcion, Ronnie Bulacan State University Gokongwei College of Engineering De la Salle University Manila Philippines De la Salle University Gokongwei College of Engineering Manila Philippines

ISBN: (纸本)9781665464932

Voltage measurements in a PV system are very important, especially in the development of an intelligent energy system. In an intelligent system, the high-voltage side of the PV array must be isolated from the sensitive circuitry of the monitoring device or microcontrollers. that is why an analog optocoupler is needed. the application of a non-linear device in measuring the voltage may affect the measurement. Inaccurate measurement of voltage results in wrong interpretation and making decisions in an intelligent system. the accurate measurement of voltages in a system is important to have an effective energy management system. this study proposed an ANFIS-based voltage sensor to eliminate the effect of the optocoupler and other components' non-linearity in the measurement of voltage. Based on the result the root means square error (RMSE) is 0.49 and the mean absolute percentage error (MAPE) is 3.25% which shows its effectiveness. © 2022 IEEE.

关键词： Intelligent systems

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A Mechanically Rotating Antenna Used in Direction-Finding systems on Unmanned Aerial Vehicles 14

A Mechanically Rotating Antenna Used in Direction-Finding Sy...

引用

14th international conference on Microwave and Millimeter Wave Technology (ICMMT)

作者： Ma, Ruyu Zhang, Xiu Yin South China Univ Technol Guangzhou 510640 Guangdong Peoples R China

ISBN: (纸本)9781665467520

this paper presents a mechanically rotating antenna used in direction-finding (DF) systems on quadcopter unmanned aerial vehicles (UAV). UAVs equipped with radio DF systems are widely used in communication, navigation and electronic warfare area among others. However, the DF systems usually require a pair of antennas or more, tending to make them bulky and heavy for smaller UAVs. To alleviate this issue, we propose a single-element DF antenna which can employ the rotating propellers of the UAV to steer its radiation pattern. Simulation and numerical experiment results demonstrate that this antenna can achieve direction of arrival estimation accuracy that is similar to conventional mechanically-rotating dipoles without putting additional moving parts on the UAV.

关键词： Radio direction finding systems

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2022 14th international conference on Machine Learning and Computing, ICMLC 2022

2022 14th International Conference on Machine Learning and C...

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14th international conference on Machine Learning and Computing, ICMLC 2022

ISBN: (纸本)9781450395700

the proceedings contain 84 papers. the topics discussed include: characterizing phenotypes for mental health disorders with wrapper‐typed feature selection techniques: comparison of RF‐RFE and fuzzy forest;chaos prediction of power systems by using deep learning;a highly efficient, confidential, and continuous federated learning backdoor attack strategy;a transformer‐based deep learning model for evaluation of accessibility of image descriptions;single stock trading with deep reinforcement learning: a comparative study;self‐supervised domain adaptation model based on contrastive learning;pseudo reward and action importance classification for sparse reward problem;a machine learning‐based approach for cardiovascular diseases prediction;DeepGCNMIL: multi‐head attention guided multi‐instance learning approach for whole‐slide images survival analysis using graph convolutional networks;and optimize the NOx emission concentration of circulation fluidized bed boiler based on on‐line learning neural network and modified TLBO algorithm.

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