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9th IEEE Asia-Pacific Conference on Antennas and Propagation, APCAP 2020

作者： Xia, Yinfeng Wang, Yanyan Li, Yingsong Xue, Wei Ye, Qiubo Harbin Engineering University College of Information and Communication Engineering Harbin China Science and Technology on Complex System Control Intelligent Agent Cooperation Laboratory Beijing100074 China Jimei University School of Information Engineering Xiamen361021 China

ISBN: (纸本)9781728198057

In this paper, we will propose a super wide bandwidth low frequency antenna with a compact size for HF, VHF and UHF applications. The developed low frequency antenna consists of coplanar guide feeding structure, sleeve-like structure with lumped elements, reactance loading in the feeding. The antenna is investigated and evaluated in the HFSS, and the simulation results shows that the proposed antenna has a very wide fractional bandwidth of 191.9% from 10 MHz to 481 MHz for supporting the HF, VHF, UHF and P-band detection system applications in various platform like aircraft, ship and vehicles. © 2020 IEEE.

关键词： Bandwidth

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A Payment System for Electric Vehicles Charging and Peer-to-Peer Energy Trading

A Payment System for Electric Vehicles Charging and Peer-to-...

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International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)

作者： Rajanish Kumar Kaushal Shubhi Jain R Gowri Shankar Rao Babu Thirumalaimuthu Ruchira Rawat Natrayan L Department of Electrical Engineering Chandigarh University Gharuan Mohali Punjab India Department of Electronics and Communication Swami Keshvanand Institute of Technology Management and Gramothan Jaipur Rajasthan India Department of Physics Vel Tech Rangarajan Dr.Sagunthala R&D Institute of Science and Technology Chennai Tamil Nadu India Department of Instrumentation and Control Engineering St. Joseph’s College of Engineering Chennai Tamil Nandu India Department of Computer Science & Engineering Graphic Era Deemed to be University Dehradun Uttarakhand India Department of Mechanical Engineering Saveetha School of Engineering SIMATS Chennai Tamil Nadu India

The popularity of vehicles based on electricity is increasing as they are considered a sustainable mode of transportation. The charging infrastructure for electric vehicles are suffering various issues. There are limited availability of public charging stations, the high costs associated with installing private charging stations, and the high variability of electricity prices. The peer-to-peer (P2P) energy stability will be seen as a potential solution to facilitate electric vehicle (EV) charging in a manner that is both cost-effective and environmentally sustainable. The paper presents a novel system energy trading and charging payment for electric vehicles (EVs). The desired system enables EV owners to exchange surplus electricity with other EV owners in their location. The system being proposed utilizes blockchain technology to guarantee secure and transparent transactions. Additionally, it incorporates a smart contract to automate the trading and charging process. The system utilizes a dynamic pricing mechanism that adjusts in real-time to reflect the current electricity prices. This feature is designed to encourage electric vehicle owners to engage in energy stabilization during maximum usage hours. The Optimistic results shows that the described system has the efficacy on minimising the cost of vehicle charging and to decrease peak demand on the grid. Additionally, the system encourages the utilization of renewable energy sources.

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Alignment of Fe3o4/Cnt Electrodes Via Magnetic Blade Printing for Wireless Stress-Direction-Recognizing Strain Sensor

SSRN

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SSRN 2023年

作者： Wang, Guangwei Cong, Chenhao Zheng, Xianbing Li, Hongjiang Wang, Xuhao Jiang, Fuhao Li, Rong Jin, Mingliang Zhang, Pengfei Li, Junru Zhang, Chuanwei Kim, SeHyun Li, Shandong Li, Xinlin College of Mechanical and Electrical Engineering Qingdao University Qingdao266071 China Yeungnam University Korea Republic of School of Chemical Engineering Konkuk University Seoul05029 Korea Republic of Shandong Zhongkang Guochuang Research Institute of Advanced Dyeing & Finishing Technology Co. Ltd China Institute for Future Shandong Key Laboratory of Industrial Control Technology Automation School of Qingdao University Qingdao266071 China University-Industry Joint Center for Ocean Observation and Broadband Communication China

Due to the rapidly growing health field, the use of electronic skin for real-time monitoring of human metrics can provide an important basis for the monitoring of human movement patterns. Wearable flexible strain sensors combined with Internet of Things technology (IoT) are the most important units in the electronic skin. However, most current resistive strain sensors have the same response to strain from all directions, and practical applications are usually limited by a single sensing function. In the present study, a method for the synthesis of Fe3O4/ carbon nanotube (CNT) nanocomposites has been proposed using ultrasound catalysis. In addition, the coupled involvement of an applied magnetic field and the internal friction of a high-viscosity ink (after blending into a highly concentrated ink) have also been used. The parallel alignment of CNT during the electrode preparation has then been optimized, which is here referred to as magnetic blading. The difference in sensitivity between parallel and perpendicular directions in the magnetically bladed electrodes became as large as 300%, and the resulting multifunctional sensor was able to detect both weak and large deformations. Thereby, the sensor showed the Gauge Factor of 25.9 and 0.56 in the strain range of 0 - 3.2 % and 5.8 – 17.4 %, respectively. A strain angle recognition was achieved by using the specific response of parallel arranged CNT to strain, which was based on the detection of the human joint motion and the recognition of acoustic signals. The real-time monitoring of the data was realized by a 4G transmission module, which provided a reference for the development of remote wireless tracking for human health monitoring. © 2023, The Authors. All rights reserved.

关键词： Carbon nanotubes

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Intelligent Mobile Power Sharing and Rental System Based on BeiDou Navigation

Intelligent Mobile Power Sharing and Rental System Based on ...

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Electronic Information technology and Smart Agriculture (ICEITSA), International Conference on

作者： Hui Hu Xinhu Li Jiaxin Wu Qingli Zeng Renmin Zhang College of Communication and Electronic Engineering Jishou University Jishou Hunan P.R. China Hunan Provincial Key Lab. of Intelligent Control Technology for Ecological Agriculture in Wuling Mountain Area Huaihua University Huaihua Hunan P.R. China

ISBN: (纸本)9781665464024

Aiming at the problems that the mobile power supply in the market cannot output AC voltage and manually adjustable DC voltage at the same time, expensive and cannot be accurately located, an intelligent mobile power sharing and rental system based on BeiDou navigation is designed. The device mainly consists of three major parts: power circuit module, controller module and mobile APP, which solves a series of problems such as location finding, rental use, visual power management and positioning return of shared power by users. The power circuit module converts the battery voltage into 220V AC output and adjustable DC precision output. The controller module realizes the functions of power supply DC output voltage collection, Battery power Detection, Beidou positioning and data uploading to the server. The mobile APP realizes the functions such as displaying the location, voltage, power and other data of multiple power supply units and sharing the rental under the shared rental mode by the APP. The system realized in this paper can greatly promote the development of China's shared energy storage industry and effectively change the current dilemma that people have difficulties in using electricity outdoors.

关键词： Smart agriculture Visualization Technological innovation Costs Power supplies Navigation Voltage

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Asymmetric CPW-Fed Multistubs Loaded Compact Printed Multiband Antenna for Wireless Applications 3rd

Asymmetric CPW-Fed Multistubs Loaded Compact Printed Multiba...

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3rd International Conference on Optical and Wireless Technologies, OWT 2019

作者： Kumar, Ashok Deegwal, Jitendra Kumar Kumar, Arjun Verma, Karan Department of Electronics and Communication Engineering Govt. Mahila Engineering College AjmerRajasthan305002 India Department of Electronics Instrumentation and Control Engineering Govt. Engineering College AjmerRajasthan305025 India Department of Electronics and Communication Engineering Bennett University Greater NoidaUttar Pradesh201310 India Department of Computer Science and Engineering National Institute of Technology Delhi New Delhi110040 India

ISBN: (纸本)9789811529252

An asymmetric coplanar waveguide-fed branched multistubs resonators loaded printed antenna is presented for multiband operation. By incorporating an asymmetrical long and short L-shaped branched stubs, the lower resonances for 2.4 and 3.5 GHz bands are achieved while the higher resonance for 5.5 GHz band is achieved by embedding horizontal stub on asymmetric CPW-fed printed antenna. By placing multistubs resonators at suitable location on asymmetric CPW-fed printed antenna, it is likely to excite the triple resonances at 2.44/3.66/5.25 GHz frequencies and antenna exhibits the bandwidths of 5.73% (140 MHz, 2.36–2.50 GHz), 16.98% (630 MHz, 3.40–4.03 GHz), and 14.65% (800 MHz, 5.06–5.86 GHz), respectively. The design procedure and antenna characteristics of the proposed multistubs loaded multiband antenna are presented. © 2020, Springer Nature Singapore Pte Ltd.

关键词： Microstrip antennas

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A Joint Matrix Factorization and Clustering Scheme for Irregular Time Series Data

SSRN

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SSRN 2022年

作者： He, Shiming Guo, Meng Li, Zhuozhou Zhou, Siyuan Xie, Kun Xiong, Naixue Key Laboratory of Safety Control of Bridge Engineering Ministry of Education School of Computer and Communication Engineering Changsha University of Science and Technology Hunan Changsha410114 China College of Computer Science and Electronics Engineering Hunan University Hunan Changsha410082 China Department of Mathematics and Computer Science Northeastern State University TahlequahOK74464 United States

Key Performance Indicator (KPI) clustering plays an important role in Artificial Intelligence for IT Operations when facing large-scale KPIs. It can effectively reduce the overhead by dividing KPIs into several classes, then applying the same anomaly detection or prediction model to all KPIs in a class. However, KPI sampling strategies vary according to the various environments, which produces irregular KPIs. Few existing works have considered the clustering of KPIs with irregular sampling. Matrix factorization (MF) is widely applied in low-rank data recovery and can be used to align and fill the irregular KPIs. However, the clustering performance after recovering and filling by MF remains unknown. These two problems interact with each other and should be solved together. Therefore, we formulate the joint MF and clustering problem for irregular KPIs and design an iterative clustering scheme based on MF. The iterative clustering scheme comprises alignment and pre-filling, the loop of clustering and subclass filling by MF, which can work with two pre-filling methods and any type of clustering algorithms. Extensive experiments on two real-world datasets show that the iterative clustering scheme can obtain higher normalized mutual information (NMI) than non-iterative clustering, and moreover consumes less computational time than Dynamic Time Warping. © 2022, The Authors. All rights reserved.

关键词： Benchmarking

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Retraction Note: Study the influence of using guide vanes blades on the performance of cross-flow wind turbine

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Applied Nanoscience 2024年第4期14卷 725-725页

作者： Yahya, Waled Ziming, Kou Juan, Wu Al-Nehari, Mohammed Tengyu, Li Qichao, Ren Alhayani, Bilal College of Mechanical and Vehicle Engineering Taiyuan of University of Technology Taiyuan China Shanxi Province Engineering Technology Research Center for Mine Fluid Control Taiyuan China Yildiz Technical University Electronics and Communication department Istanbul Turkey

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control Strategy of Heterogeneous Network Base Station Energy Saving and Energy Storage Regulation Base on Genetic Algorithm

Control Strategy of Heterogeneous Network Base Station Energ...

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International Conference on Electrical Machines and Systems (ICEMS)

作者： Gangwei Ding Xin Wang Lijuan Li Hai Liu Yue Li College of Automation and Electronic Information Xiangtan University Xiangtan China Information and Communication Company of State Grid Xinjiang Electric Power CO. LTD Urumqi China Hunan Engineering Research Center of Multi-energy Cooperative Control Technology Xiangtan University Xiangtan China

ISBN: (数字)9781665493024

ISBN: (纸本)9781665493031

With the rapid growth of 5G technology, the increase of base stations not noly brings high energy consumption, but also becomes new flexibility resources for power system. For high energy consumption and low utilization of energy storage of base stations, the strategy of energy storage regulation of macro base station and sleep to save energy of micro base station based on genetic algorithm is proposed. Firstly, the variational mode decomposition and long short-term memory are combined in the model in which the parameters are optimized by using the genetic algorithm. By applying the model, the traffic of micro base station can be predicted, and the low load is selected to sleep. Then, a multi-objective optimization model of macro base station energy storage regulation is established, and the optimal charging power and discharging power are solved by genetic algorithm. Finally, collaborative working mode is given combining the charging and discharging power of macro base station and the power reduced of sleep of micro base station. The simulation shows that the strategy can reduce the energy consumption of the base station, and it can simultaneously assist power system to cut peak and fill valley to gain income.

关键词： Base stations Energy consumption Simulation Predictive models Regulation Heterogeneous networks Power systems

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CLPVG: Circular limited penetrable visibility graph as a new network model for time series

arXiv

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arXiv 2021年

作者： Xuan, Qi Zhou, Jinchao Qiu, Kunfeng Xu, Dongwei Zheng, Shilian Yang, Xiaoniu Institute of Cyberspace Security Zhejiang University of Technology Hangzhou310023 China College of Information Engineering Zhejiang University of Technology Hangzhou310023 China Science and Technology on Communication Information Security Control Laboratory Jiaxing314033 China

Visibility Graph (VG) transforms time series into graphs, facilitating signal processing by advanced graph data mining algorithms. In this paper, based on the classic Limited Penetrable Visibility Graph (LPVG) method, we propose a novel nonlinear mapping method named Circular Limited Penetrable Visibility Graph (CLPVG). The testing on degree distribution and clustering coefficient on the generated graphs of typical time series validates that our CLPVG is able to effectively capture the important features of time series and has better anti-noise ability than traditional LPVG. The experiments on real-world time-series datasets of radio signal and electroencephalogram (EEG) also suggest that the structural features provided by CLPVG, rather than LPVG, are more useful for time-series classification, leading to higher accuracy. And this classification performance can be further enhanced through structural feature expansion by adopting Subgraph Networks (SGN). All of these results validate the effectiveness of our CLPVG model. Copyright © 2021, The Authors. All rights reserved.

关键词： Time series

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Robust Artificial Noise-Aided Beamforming for A Secure MISO-NOMA Visible Light communication System

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China communications 2020年第11期17卷 42-53页

作者： Xiaodong Liu Zezong Chen Yuhao Wang Fuhui Zhou Shuai Ma School of Electronic Information Wuhan UniversityWuhan 430072China School of Information Engineering Nanchang UniversityNanchang 330031China College of Electronic and Information Engineering Nanjing University of Aeronautics and AstronauticsNanjing 210000China School of Information and Control Engineering China University of Mining and TechnologyXuzhou 221116China Shanxi Key Laboratory of Information Communication Network and Security Xi’an University of Posts&TelecommunicationsXi’an 710121China

Visible light communication(VLC)and non-orthogonal multiple access(NOMA)have been deemed two promising techniques in the next wireless communication *** this paper,secure communications in the presence of potential eavesdropper are investigated for a multiple-input single-output VLC system with *** artificial noise jamming and beamforming technologies are applied to improve secure performance.A robust resource allocation scheme is proposed to minimize the total transmit power taking into account the constraints on the quality of service requirement of the desired users and the maximum tolerable data rate of the eavesdropper,and the practical imperfect channel state information of both the desired users and the *** formulated non-convex optimization problem is tackled based onS-Procedure and semi-definite programming *** results illustrate that our proposed resource allocation scheme can effectively guarantee communication security and achieve transmit power ***,the height and number of LED can significantly affect system performance and the optimum LED height can be obtained for different LED numbers.

关键词： artificial noise non-orthogonal multiple access physical-layer secrecy robust resource allocation visible light communication

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