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16th EAI international conference on Cognitive Radio Oriented Wireless networks, CROWNCOM 2021 and 14th EAI international Wireless Internet conference, WiCON 2021

16th EAI International Conference on Cognitive Radio Oriente...

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16th EAI international conference on Cognitive Radio Oriented Wireless networks, CROWNCOM 2021 and 14th EAI international Wireless Internet conference, WiCON 2021

ISBN: (纸本)9783030980016

the proceedings contain 25 papers. the special focus in this conference is on Cognitive Radio Oriented Wireless networks. the topics include: the Performance Research of LTE-A Cellular Network Based on Relay and Pass-through D2D Technology;A Survey Channel Estimation for Intelligent Reflecting Surface (IRS);minimum Class Variance thresholding Based on Multi-objective Optimization;pedestrian Detection Based on Deep Learning Under the Background of University Epidemic Prevention;Gesture Recognition Controls Image Style Transfer Based on Improved YOLOV5s Algorithm;Detection of Malicious Nodes Using Collaborative Neighbour Monitoring in DSA networks;research on Denoising Method in Pseudo-analog Video Transmission;Confidential communications for Mobile UAV Relaying Network;Implementation and Performance Analysis of Smart Attendance Checking Using BLE-Based communications;methodology for Characterizing Spectrum Data by Combining Quantitative and Qualitative Information;intra-train Wagon Wireless Channel Connectivity Analysis of Ultra Dense Node Deployments;hardware-Accelerated Blockchain-Based Authentication for the Internet of things;an Investigation of Vulnerabilities in Internet of Health things;faking Smart Industry: A Honeypot-Driven Approach for Exploring Cyber Security threat Landscape;anonymous Key Agreement and Mutual Authentication Protocol for Smart Grids;SAMA: Security-Aware Monitoring Approach for Location Abusing and UAV GPS-Spoofing Attacks on Internet of Vehicles;computationally Efficient Look-up-Tables for Behavioral Modelling and Digital Pre-distortion of Multi-standard Wireless systems;metaheuristic Optimisation for Radio Interface-Constrained Channel Assignment in a Hybrid Wi-Fi–Dynamic Spectrum Access Wireless Mesh Network;performance of Cooperative Spectrum Sensing Based on Random Transition of the Primary User in Laplacian Noise;assessment of Spectrum Management Approaches in Offshore Private Industrial 5G networks;An Eigenvalue Based Cooperative Sp

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An Application of Intelligent Reflecting Surfaces in Satellite communication System

An Application of Intelligent Reflecting Surfaces in Satelli...

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international conference on Computing and Networking Technology (ICCNT)

作者： Hirdesh Dixit Arti M.K. Dept. of Electronics and Communication Engineering Netaji Subhas University of Technology New Delhi India

In this research paper, we investigate the effectiveness of an Intelligent Reflecting Surface (IRS)-assisted satellite communication system consisting of a single antenna transmitting earth station and a single antenna receiving earth station. the satellite node is equipped with multiple reflecting elements, which intelligently manipulate the signal propagation environment. We analyze the system's signal-to-noise ratio (SNR) at the receiver station. By deriving the SNR expression, we aim to assess the suitability of IRS in satellite communication systems. Furthermore, we explore the envelope Probability Density Function (PDF) of the end-to-end channel to gain insights into the system's performance. We consider the impact of varying parameters such as the number of reflecting elements and the shadowing effect on the *** results obtained from this research can be useful in the design and implementation of future satellite communication networks, leading to improved spectral efficiency, increased coverage, and enhanced quality of service.

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UAV communication and Navigation Signals Jamming Methods 14

UAV Communication and Navigation Signals Jamming Methods

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14th IEEE international conference on Signal Processing, communications and Computing, ICSPCC 2024

作者： Ding, Jiawei Tang, Chengkai Zhang, Lingling Yue, Zhe Liu, Yangyang Dan, Zesheng School of Electronics and Information Northwestern Polytechnical University Xi'an China School of Marine Science and Technology Northwestern Polytechnical University Xi'an China School of Surveying and Land Information Engineering Henan Polytechnic University Jiaozuo China

ISBN: (纸本)9798350366556

the 'black flight' problem is seriously threatening the security of critical areas, and developing effective countermeasures is an urgent need in both military and civilian domains. However, the anti-jamming of unmanned aerial vehicles (UAVs) continues to evolve, and traditional countermeasure systems face challenges such as low jamming success rates and poor flexibility, making it difficult to meet the demands of defense and confrontation. To address these issues, this paper proposes a jamming method for UAV communication and navigation signals. Based on the YunSDR-Y550 software-defined radio platform, we developed the UAV_ATK upper computer interface software to communicate in real-time with the hardware platform, adjusting power, frequency bands, and bandwidth. We generate three modes of signal disruption - broadband jamming, comb jamming, and frequency sweeping jamming - to disrupt the UAV's telemetry link. We also disrupt the UAV's navigation link by jamming GPS and BDS navigation signals. By mimicking real GPS signals and generating false navigation messages, we gradually lead the receiver tracking loop to lock onto the deceptive signal, achieving intrusive deception of the UAV. Experimental results validate the effectiveness and correctness of the proposed method. © 2024 IEEE.

关键词： Intrusive deception Navigation link Software-defined radio Telemetry link Unmanned aerial vehicle

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A New PPE Algorithm Based on Parallel communication Strategy 17th

A New PPE Algorithm Based on Parallel Communication Strategy

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17th international conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP) / 14th international conference on Frontiers of Information Technology, Applications and Tools (FITAT)

作者： Liang, Lu-Lu Du, Zhi-Gang Shieh, Chin-Shiuh Hu, Chia-Cheng Chu, Shu-Chuan Feng, Qing Shandong Univ Sci & Technol Coll Comp Sci & Engn Qingdao 266590 Peoples R China Natl Kaohsiung Univ Sci & Technol Dept Elect Engn Kaohsiung 80778 Taiwan Yango Univ Coll Artificial Intelligence Fuzhou 330015 Peoples R China Flinders Univ S Australia Coll Sci & Engn 1284 South Rd Clovelly Pk SA 5042 Australia

ISBN: (纸本)9789811910579;9789811910562

the Phasmatodea population evolution algorithm (PPE) is a relatively new swarm intelligence algorithm at present. A PSO algorithm with a parallel communication strategy can largely optimize the advantages of PSO and overcome some of its shortcomings. Combining PPE and Parallel particle swarm optimization, this paper proposes a parallel Phasmatodea population evolution algorithm (PPPE) with communication strategy. In this thesis, all populations are grouped to communicate and compete. this approach can change the location and number of populations and thus expand the search for populations on a global scale. Inspired by Parallel PSO, the authors propose two exchange strategies in this paper. the first communication strategy is modelled on the first communication style of Parallel PSO. the second communication strategy is modelled on the third communication style of Parallel PSO. the algorithm was tested and analysed on 30 benchmark functions. the test results indicate that, under the same conditions, the improved algorithm outperforms the best fit and degree of convergence obtained by other similar algorithms.

关键词： communication strategy Competition model Parallel PPE algorithm

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Overhead View Bus Passenger Detection and Counter using DeepSORT and Tiny-Yolo V4 14

Overhead View Bus Passenger Detection and Counter using Deep...

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

作者： Valencia, Immanuel Jose C. Guillermo, Marielet A. Dadios, Elmer P. Fillone, Alexis M. Sybingco, Edwin Billones, Robert Kerwin C. Department of Manufacturing Engineering and Management De la Salle University 2401 Taft Avenue Malate Manila Philippines Department of Electronics and Computer Engineering De la Salle University 2401 Taft Avenue Malate Manila Philippines Department of Civil Engineering De la Salle University 2401 Taft Avenue Malate Manila Philippines Intelligent Systems Laboratory De la Salle University 2401 Taft Avenue Malate Manila Philippines Center for Engineering and Sustainable Development Research De la Salle University 2401 Taft Avenue Malate Manila Philippines

ISBN: (纸本)9781665464932

Intelligent Surveillance systems are increasingly gaining attention as countries build smart cities. the application of such systems includes monitoring foot traffic. this functionality enabled in a public transport setting allows better value-added service to passengers looking for bus availability with a guaranteed seat. With the computer vision technique applied, the innovation has room for an extension to other functionalities such as monitoring and predicting anomalies inside a public utility vehicle, whether it's a security risk to passengers and drivers or a potential safety risk of a vehicle's condition surrounding situations. this study presents the development of a people detection, tracking, and counting algorithm using a Tiny-YOLOv4, a deep learning object detection algorithm. the study aims to perform passenger counts through an overhead view of a camera. the results show that using Tiny-YOLOv4, a new custom model, as the base model proved the accuracy could be significantly improved, and false predictions can be eliminated or minimized in conjunction with the DeepSORT algorithm for tracking and counting tasks. © 2022 IEEE.

关键词： Public utilities

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ChromoCorn: Zea mays Chromosome Classification Using Zero Order Fuzzy Inference System Based on Kernel's Haralick Grey Level Texture Phenes 14

ChromoCorn: Zea mays Chromosome Classification Using Zero Or...

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

作者： Alejandrino, Jonnel D. Concepcion, Ronnie Bandala, Argel Gemel Palconit, Maria Rhay Vicerra, Ryan Dadios, Elmer P. De la Salle University Department of Electronics and Computer Engineering Manila Philippines De la Salle University Department of Manufacturing Engineering and Management Manila Philippines De la Salle University Center for Engineering and Sustainability Development Research Manila Philippines

ISBN: (纸本)9781665464932

the selection of haploid kernels is one of the critical stages in the doubled haploid method. Various vision-based methods have been developed through visual color contrasts that is limited to human eye. In sowing and germination, thousands of kernels are being separated manually which is time-consuming and prone to errors. Hence, development of automatic sorting systems is essential. Currently, detection of colored genetic markers on kernel's embryo, called R1-nj are being developed. However, color attributes of R1-nj in some embryo kernel images brought by different genetic backgrounds, morphological, and environmental dynamics became unreliable. Also, hyperspectral imaging is too expensive for low-income farmers who are also the intended end users of this technology. this premise laid the groundwork for the current study's goal of developing chromoCorn model which is a reliable and sensitive model in classifying the chromosome of maize whether it is haploid (1 complete set of chromosomes) or diploid (2 complete sets of chromosomes) using Sugeno fuzzy inference system (FIS). the extracted textural features from RGB turned grayscale images, namely energy, contrast, homogeneity, and correlation, serves as the four inputs in the fuzzy inference system. the Gauss method was used for the fuzzification process, and the weighted average approach is used for defuzzification. the 120 set of IF-thEN statements formed the basis of the fuzzy model to obtain the defuzzied output. Based on training and testing evaluation, the detection system's accuracy in identifying haploid and diploid kernels is 96.04% and 91.23%, respectively. © 2022 IEEE.

关键词： Fuzzy systems

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Analysis of Arabs Publications In the Field of Computer networks

Analysis of Arabs Publications In the Field of Computer Netw...

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international conference on Information and communication systems (ICICS)

作者： Emran EL-Bashabsheh Mutaz Younes Mohammed Shatnawi dept. of Computer Information Systems Jordan University of Science and Technology Irbid Jordan dept. of Computer Science Jordan University of Science and Technology Irbid Jordan

Increasing technology led to increasing collaboration between the countries in general, especially the Arabic world. In recent years, many impacts affect the growth of research work in different Arabic countries. In this research, we show the growth of research work and its quality between Arabs and the rest of the world. We collected over 2500 publications and used it to create a new table that contains the intersection between each Arab country and each co-author's continent to show the relationship between each Arabic country with the rest of the world. We divided the data into two periods, before and after 2015, then we used Hue to apply our analysis on the data. We focused on the number of publications and the number of citation for each Arabic country. We noticed the rapid growth in the last period in some Arabic countries such as Jordan, Qatar, United Arab Emirates, and Saudi Arabia. In contrast, the rest of the countries had slow or decreasing growth.

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Collaborative Power Allocation and Waveform Selection Strategy for Multi-Target Tracking in Airborne Radar System 14

Collaborative Power Allocation and Waveform Selection Strate...

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14th international conference on Signal Processing systems, ICSPS 2022

作者： Ding, Lintao Shi, Chenguang Yang, Yi Zhou, Jianjiang Nanjing Univ. Aeronaut. Astronaut Key Laboratory of Radar Imaging and Microwave Photonics Nanjing China Wuhan Maritime Communication Research Institute Wuhan China

ISBN: (纸本)9798350336313

In this paper, a collaborative power allocation and waveform selection strategy (CPA-WS) is developed for multi-target tracking (MTT) in airborne radar system. the mechanism of the proposed CPA-WS strategy is to collaboratively coordinate the velocity, heading angle, transmit power, waveform pulselength and bandwidth of the airborne radar, in order to achieve accurate target position estimation under the constraints of maneuverability performance and system resource budgets. the Bayesian Cramer-Rao lower bound (BCRLB) incorporating the above variables is derived to characterize the target tracking accuracy. Since the above parameters are coupled in the objective function, the resulting optimization problem is nonlinear and nonconvex, which is difficult to solve directly. Combined with cyclic minimization approach, an effective partition-based four-step method is proposed to solve the resulting problem. Simulation results demonstrate that the proposed CPA-WS strategy achieves the best MTT performance compared with other existing algorithms. © 2022 IEEE.

关键词： Target tracking

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Long-Range Stealth Mode Wi-Fi Surveillance and Interception System

Long-Range Stealth Mode Wi-Fi Surveillance and Interception ...

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international conference on Computing and Networking Technology (ICCNT)

作者： Manoj Prabhakar K Vipin Pavithran Saranya Chandran Sreelakshmi R Syam Center for Cybersecurity Systems and Networks Amrita Vishwa Vidyapeetham Amritapuri India

the ubiquitous presence of the Internet in all aspects is a necessary component of modern-day living. It is very easy to access the Internet through free public Wi-Fi, which can be found in various places such as malls, restaurants, cafes, and hotels. Public Wi-Fi hotspots play a dominant role in many illegal activities on the Internet. Monitoring and eavesdropping systems are required to sure veil users on the network and sniff their data traffic. A Wi-Fi surveillance system is used to intercept traffic between a user and the Wi-Fi access point (AP). Such systems are used by law enforcement agencies to spy on the data of criminal suspects while they are connected to Wi-Fi networks. Existing systems that have hitherto been commercially available, can operate within a few feet of the operator to the target and are large in size. this impacts portability, making the operator more vulnerable to attacks by suspects or unable to connect devices to Wi-Fi or the chance of suspects getting evaded. In this research, we build an interception system using Wi-Fi Pineapple, which can create rogue APs by scanning distant Wi-Fi networks with custom directional antennas and intercepting traffic from targets.

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AI for Closed-Loop Control systems New Opportunities for Modeling, Designing, and Tuning Control systems 2022

AI for Closed-Loop Control Systems New Opportunities for Mod...

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

作者： Schöning, Julius Riechmann, Adrian Pfisterer, Hans-Jürgen Faculty of Engineering and Computer Science Osnabrück University of Applied Sciences Germany Competence Centre of Electronics and Electric Drive Systems Science to Business GmbH Germany

ISBN: (纸本)9781450395700

Control systems, particularly closed-loop control systems (CLCS), are frequently used in production machines, vehicles, and robots nowadays. CLCS are needed to actively align actual values of a process to a given reference or set values in real-time with a very high precession. Yet, artificial intelligence (AI) is not used to model, design, optimize, and tune CLCS. this paper will highlight potential AI-empowered and -based control system designs and designing procedures, gathering new opportunities and research direction in the field of control system engineering. therefore, this paper illustrates which building blocks within the standard block diagram of CLCS can be replaced by AI, i.e., artificial neuronal networks (ANN). Having processes with real-time contains and functional safety in mind, it is discussed if AI-based controller blocks can cope with these demands. By concluding the paper, the pros and cons of AI-empowered as well as -based CLCS designs are discussed, and possible research directions for introducing AI in the domain of control system engineering are given. © 2022 ACM.

关键词： Closed loop control systems

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