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52nd European Microwave Conference, EuMC 2022

作者： Aslan, Yanki Delft University of Technology Microwave Sensing Signals and Systems Group Faculty of Electrical Engineering Mathematics and Computer Science Department of Microelectronics Delft Netherlands

ISBN: (数字)9782874870699

ISBN: (纸本)9782874870699

Optimal design of uniformly-fed aperiodic millimeter-wave phased array topologies for site-specific and quasi interference-free operation is presented. Several use cases with different number of line-of-sight cells in the close vicinity of the base station, and for various widths and shapes of the cells, are analyzed. The arrays are synthesized by applying an iterative convex optimization technique. The simulation results of 256-element arrays indicate strong intra-cell and inter-cell isolation with around -40 dB maximal side lobe level. The proposed technique is found to be especially useful in the application scenarios supporting sparsely distributed narrow communication cells. © 2022 European Microwave Association (EuMA).

关键词： Millimeter waves

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Classification and Sentiment Analysis of Amazon Alexa Reviews 1

Classification and Sentiment Analysis of Amazon Alexa Review...

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1st International Conference on Logistics, ICL 2024

作者： Mostafa, Salama A. Al-Dayyeni, Wisam Subhi Kareem, Ali Noori Jubair, Mohammed Ahmed Jaber, Mustafa Musa Khalaf, Bashar Ahmad Universiti Tun Hussein Onn Malaysia Faculty of Computer Science and Information Technology Johor86400 Malaysia School of Information Technologies and Engineering ADA University BakuAZ1008 Azerbaijan Bilad Alrafidain University College Computer Engineering Department Ba'aqubah Diyala32001 Iraq College of Information Technology Imam Ja'afar Al-Sadiq University Department of Computer Technical Engineering Al-Muthanna66002 Iraq Al-Farahidi University Department of Medical Instruments Engineering Techniques Baghdad10021 Iraq Bilad Alrafidain University College Department of Medical Instruments Engineering Techniques Diyala32001 Iraq

ISBN: (纸本)9798331518844

This study is about developing sentiment analysis and classification method for Amazon Alexa products based on the rating and feedback given by customers. The purpose of the method is to investigate the polarity of positive or negative opinions expressed by the buyers of the products to attain insights and recommendations from the provided reviews by the customers. The Amazon Alexa Reviews dataset used in this work consists of 3150 reviews. It contains features related to the ratings, dates, variants, and customer comments on several Amazon Alexa products, such as Echo Dots and Alexa Echo. Four classification algorithms of Decision Tree (DT), Random Forest (RF), XgBoost (XB), and k-Nearest Neighbors (k-NN) are implemented, and the evaluation metrics of accuracy, precision, and recall compare their performances. The evaluation results of the four algorithms have revealed that the RF achieves the best performance among the four classifiers, with an average accuracy score of 94.17%, a precision score of 93.71%, and a recall score of 99.33 %. © 2024 IEEE.

关键词： Amazon Alexa Classifications Decision Tree (DT) K-Nearest Neighbors (k-NN) Random Forest (RF) Sentiment Analysis (SA) XgBoost (XB)

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Efficient Transceiver Design for MIMO Dual-Function Radar-Communication Systems

Efficient Transceiver Design for MIMO Dual-Function Radar-Co...

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作者： Wen, Cai Huang, Yan Davidson, Timothy N. Northwest University School of Information Science and Technology X'ian710127 China McMaster University Department of Electrical and Computer Engineering HamiltonONL8S 4L8 Canada Southeast University School of Information Science and Engineering State Key Laboratory of Millimeter Waves Nanjing211189 China

This article considers jointly optimizing the transmitting (Tx) waveform and the receivers of a multiple-input multiple-output (MIMO) dual-function radar-communication (DFRC) system. The proposed approach incorporates the design of the (complex-valued) communication receiving (Rx) coefficients, in addition to the radar Rx filters. We address the problem of maximizing the minimum radar signal-to-interference-plus-noise ratio (SINR) subject to communication SINR, per-antenna power and peak-to-average-power ratio (PAPR) constraints. A successive convex approximation (SCA) algorithm is developed to find a good solution for the resultant nonconvex design problem. To accelerate that algorithm and to improve the solution quality, we further propose a local-approximation-refinement SCA (LAR-SCA) algorithm which possesses guaranteed convergence properties. In addition, a sub-block design technique is developed to reduce the design complexity in the case of long Tx sequences. Numerical results show that by incorporating the communication Rx coefficients into the joint design, the radar and communication capabilities of the DFRC system can be significantly enhanced over the state-of-the-art designs, while maintaining an efficient algorithm. © 1991-2012 IEEE.

关键词： Signal to noise ratio

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Analysis of denial of service attack on web security systems 2

Analysis of denial of service attack on web security systems

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2nd International Conference on sciences and technology Applications, ICOSTA 2020

作者： Iswandi Walad, S. Zarlis, Muhammad Syahril Efendi, M.I.T. Department of Information and Technology Faculty of Computer Science and Information Technology University of Sumatera Utara Medan Indonesia of Informatics Engineering Faculty of Computer Science and Information Technology University of Sumatera Utara Medan Indonesia

In this study, an analysis of the Web security system from a Denial-of-Service Attack (DoS) with SYN Attack, Ping of Death, Land Attack, Smurf Attack and UDP Flood types. The server computer that will be tested for DoS attacks is a local web server including *** IP: 54.169.71.56, *** IP: 104.152.168.14, *** IP: 156.67.210.132, *** IP: 202.162. 207,101 and *** with IP Address 213.136.83.52 port 80. The attack on the local web server computer was carried out through attacking cloned computers as many as 5 zombie computers and then observing data traffic on each Web server computer. The test results use ping to the local web server computer, where the target web server sends a replay request time out and the check results in the Google Chrome browser are slow to inaccessible conditions. Ping access time the greater the packet, the greater the average time when accessing a local web server with 5,000 packets is 242.68 seconds, 10,000 packets is 310.28 seconds, 20,000 packets are 337.4 seconds, 30,000 packets are 377.2 seconds, 40,000 packets are 398.4 seconds, 50,000 packets are 545.4 seconds and 100,000 packets are above 600 seconds with the condition that the web server will recover after 600 seconds where the system recovery process depends on each local web server. © Published under licence by IOP Publishing Ltd.

关键词： Denial-of-service attack

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Parkinson's disease diagnosis by voice data using particle swarm optimization-extreme learning machine approach

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Multimedia Tools and Applications 2024年 1-34页

作者： Albadr, Musatafa Abbas Abbood Ayob, Masri Tiun, Sabrina Homod, Raad Z. AL-Dhief, Fahad Taha Mutar, Mohammed Hasan Department of Petroleum Project Management College of Industrial Management of Oil and Gas Basrah University for Oil and Gas Al-Basrah Iraq Faculty of Information Science and Technology CAIT Universiti Kebangsaan Malaysia Selangor Bangi Malaysia Department of Oil and Gas Engineering Basrah University for Oil and Gas Al-Basrah Iraq School of Electrical Engineering Department of Communication Engineering Universiti Teknologi Malaysia UTM Johor Bahru Johor Malaysia College of Information Technology Imam Ja’afar Al‐Sadiq University Al‐Muthanna Iraq

Various speech processing approaches (e.g., acoustic feature extraction techniques) and Machine Learning (ML) algorithms have been applied to diagnosing Parkinson's disease (PD). However, the majority of these researches have used conventional techniques which obtain a low accuracy rate in diagnosing PD and still need further improvement. Particle Swarm Optimization-Extreme Learning Machine (PSO-ELM), one of the most recent and effective ML techniques, could be considered an accurate strategy in the classification process but has not been applied to solve the problem of PD diagnosis. Thus, in order to enhance the precision of the PD diagnosing, this study employs the PSO-ELM classifier and examines how well it performs on seven feature extraction techniques (basic features, WT (Wavelet Transform), MFCC (Mel Frequency Cepstral Coefficients), bandwidth + formant, intensity parameters, TQWT (Tunable Q-factor Wavelet Transform), and vocal fold features). The PSO-ELM approach has the capability to a) prevents overfitting, b) solve the binary and multi class classification issues, and c) perform like a kernel-based support vector machine with a structure of neural network. Therefore, if the combination of PSO-ELM classifier and appropriate feature extraction technique can improve learning performance, this combination can produce an effective method for identifying PD. In this study, the PD's voice samples have been taken from the Parkinson’s Disease Classification Benchmark Dataset. To discover a useful feature extraction technique to couple with the PSO-ELM classifier, we applied PSO-ELM to each extracted feature with the utilisation of unbalanced and balanced dataset. According to the experimental results, the MFCC features assist the PSO-ELM classifier to attaining its greatest accuracy, up to 97.35% using unbalanced dataset and 100.00% using balanced dataset. This shows that combining PSO-ELM with MFCC can improve learning performance, ultimately creating an effectiv

关键词： Wavelet transforms

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A Brief Survey on the Experimental Application of MPQUIC Protocol in Data Communication 5

A Brief Survey on the Experimental Application of MPQUIC Pro...

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5th International Conference on information technology for Education and Development, ITED 2022

作者： Wejin, John S. Badejo, Joke A. Jonathan, Oluranti Dahunsi, Folasade Taraba State University Department of Computer Science Jalingo Nigeria Covenant University Department of Electrical and Information Engineering Ota Nigeria Covenant University Department of Computer Science Ota Nigeria Federal University of Technology Department of Computer Engineering Akure Nigeria

ISBN: (纸本)9781509064229

Since its inception, the Internet has experienced tremendous speed and functionality improvements. Among these developments are innovative approaches such as the design and deployment of Internet Protocol version six (IPv6) and the continuous modification of TCP. New transport protocols like Stream Communication Transport Protocol (SCTP) and Multipath TCP (MPTCP), which can use multiple data paths, have been developed to overcome the IP-coupled challenge in TCP. However, given the difficulties of packet modifiers over the Internet that prevent the deployment of newly proposed protocols, e.g., SCTP, a UDP innovative approach with QUIC (Quick UDP Internet Connection) has been put forward as an alternative. QUIC reduces the connection establishment complexity in TCP and its variants, high security, stream multiplexing, and pluggable congestion control. Motivated by the gains and acceptability of MPTCP, Multipath QUIC has been developed to enable multipath transmission in QUIC. While several researchers have reviewed the progress of improvement and application of MPTCP, the review on MPQUIC improvement is limited. To breach the gap, this paper provides a brief survey on the practical application and progress of MPQUIC in data communication. We first review the fundamentals of multipath transport protocols. We then provide details on the design of QUIC and MPQUIC. Based on the articles reviewed, we looked at the various applications of MPQUIC, identifying the application domain, tools used, and evaluation parameters. Finally, we highlighted the open research issues and directions for further investigations. © 2022 IEEE.

关键词： Transmission control protocol

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Success History Adaptive Competitive Swarm Optimizer with Linear Population Reduction: Performance benchmarking and application in eye disease detection

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computers in Biology and Medicine 2025年 186卷 109587-109587页

作者： Zhong, Rui Wang, Zhongmin Hussien, Abdelazim G. Houssein, Essam H. Al-Shourbaji, Ibrahim Elseify, Mohamed A. Yu, Jun Information Initiative Center Hokkaido University Sapporo Japan College of Tropical Crops Yunnan Agricultural University Yunnan China Department of Computer and Information Science Linköping University Linköping Sweden Faculty of Science Fayoum University Faiyum Egypt Faculty of Computers and Information Minia University Minia Egypt Department of Electrical and Electronics Engineering Jazan Jazan University Jazan Saudi Arabia Department of Computer Science University of Hertfordshire Hatfield United Kingdom Department of Electrical Engineering Faculty of Engineering Al-Azhar University Qena Egypt Institute of Science and Technology Niigata University Niigata Japan

Eye disease detection has achieved significant advancements thanks to artificial intelligence (AI) techniques. However, the construction of high-accuracy predictive models still faces challenges, and one reason is the deficiency of the optimizer. This paper presents an efficient optimizer named Success History Adaptive Competitive Swarm Optimizer with Linear Population Reduction (L-SHACSO). Inspired by the effective success history adaptation scheme and linear population reduction strategy in Differential Evolution (DE), we introduce these techniques into CSO to enable the automatic and intelligent adjustment of hyper-parameters during optimization thereby balancing exploration and exploitation across different phases. To thoroughly investigate the performance of L-SHACSO, we conduct extensive numerical experiments on CEC2017, CEC2020, CEC2022, and eight engineering problems. State-of-the-art optimizers including jSO and L-SHADE-cnEpSin and recently proposed metaheuristic algorithms (MAs) such as RIME and the Parrot Optimizer (PO) are employed as competitors. Experimental results confirm the superiority of L-SHACSO across various optimization tasks. Furthermore, we integrate L-SHACSO into DenseNet and Extreme Learning Machine (ELM) and propose DenseNet-L-SHACSO-ELM for eye disease detection, where the features extracted by the pre-trained DenseNet are fed into L-SHACSO-optimized ELM for classification. Experiments on public datasets confirm the feasibility and effectiveness of our proposed model, which has great potential in real-world scenarios. The source code of this research is available at https://***/RuiZhong961230/L-SHACSO. © 2024 Elsevier Ltd

关键词： Swarm intelligence

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Parameter Identification of Photovoltaic Models Based on Improved Adaptive Differential Evolution Algorithm

Parameter Identification of Photovoltaic Models Based on Imp...

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第43届中国控制会议

作者： Ye Bian Chengyong Si Lei Wang School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Sino-German College University of Shanghai for Science and Technology College of Electronic and Information Engineering Tongji University

ISBN: (数字)9789887581581

ISBN: (纸本)9798350366907

To enhance the parameter identification accuracy of photovoltaic(PV) models, this paper proposes an improved adaptive differential evolution algorithm. Building upon the Adaptive Differential Evolution(JADE), the proposed algorithm incorporates a mutation strategy based on successful evolutionary experiences and a crossover rate sorting mechanism, thereby enhancing the utilization of local historical information and the population's elite individual information during the evolutionary process. To validate the algorithm's performance, it is applied to two PV models and compared with four state-of-the-art algorithms. Experimental results demonstrate that the proposed algorithm achieves optimal results in PV model parameter identification and exhibits faster convergence speed.

关键词： photovoltaic(PV) model parameter identification differential evolution

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Crowd evacuation simulation model with soft computing optimization techniques:a systematic literature review

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Journal of Management Analytics 2021年第3期8卷 443-485页

作者： Hamizan Sharbini Roselina Sallehuddin Habibollah Haron Faculty of Computer Science and Information Technology University Malaysia SarawakKota SamarahanMalaysia School of Computing Faculty of EngineeringUniversiti Teknologi MalaysiaSkudaiMalaysia

Crowd evacuation simulation is an essential element when it comes to planning and preparation in evacuation *** paper presents the survey based on systematic literature review(SLR)technique that aims to identify the crowd evacuation under microscopic model integrated with soft computing technique from previous *** the review process,renowned databases were searched to retrieve the primary articles and total 38 studies were thoroughly *** researcher has identified the potential optimization factors in simulating crowd evacuation and research gaps based on acquired issues,limitation and challenges in this *** results of this SLR will serve as a guideline for the researchers that have same interest to develop better and effective crowd evacuation simulation *** future direction from this SLR also suggests that there is a potential to hybrid the model with softcomputing optimization focusing on latest nature-inspired algorithms in improving the crowd evacuation model.

关键词： systematic reviews crowd evacuation model microscopic model soft computing techniques hybrid nature-inspired optimization techniques

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Network Time Synchronization as a Quantum Physical Layer Service 28

Network Time Synchronization as a Quantum Physical Layer Ser...

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28th European Wireless Conference, EW 2023

作者： Nunavath, Nikhitha Garbugli, Andrea Nande, Swaraj Shekhar Foschini, Luca Bassoli, Riccardo Fitzek, Frank H.P. The Deutsche Telekom Institute of Communication Technology Faculty of Electrical and Computer Engineering Technische Universität Dresden Dresden Germany Cluster of Excellence Dresden Germany research group Technische Universität Dresden Dresden Germany The Department of Computer Science and Engineering University of Bologna Italy

ISBN: (纸本)9783800762262

In the context of 6G architecture development, the concept of a softwarized (orchestration) continuum is a key pillar. Nevertheless, achieving complete softwarization of network functionalities, tasks, and operations presents inherent challenges, leading to critical trade-offs and limitations. This article explores a novel approach to address these issues by integrating quantum technologies and the Physical Layer Service Integration (PLSI) paradigm. Specifically, we propose the formulation and analysis of network synchronization as a quantum PLSI problem. Our study evaluates synchronization time offset in both conventional Precision Time Protocol (PTP) and quantum-based approaches within the network. We investigate the impact of various network conditions on the precision of PTP synchronization, ranging from nanoseconds under ideal circumstances to microseconds when utilizing virtual network devices. Further, we perform a simulation to generate frequency-entangled photon pairs to access nonlocal temporal correlations and calculate the time offsets. Our findings reveal that entanglement-based PLSI for network synchronization achieves precision at the picosecond level. These results emphasises the high precision achievable by interpreting the network synchronisation problem in the perspective of PLSI and not as a service of the softwarized continuum. © VDE VERLAG GMBH - Berlin - Offenbach.

关键词： Quantum communication

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