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Novel Optimized Feature Selection Using Metaheuristics Applied to Physical Benchmark Datasets

computers, Materials & Continua 2023年第2期74卷 4027-4041页

作者： Doaa Sami Khafaga El-Sayed M.El-kenawy Fadwa Alrowais Sunil Kumar Abdelhameed Ibrahim Abdelaziz A.Abdelhamid Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Communications and Electronics Delta Higher Institute of Engineering and TechnologyMansoura35111Egypt School of Computer Science University of Petroleum and Energy StudiesDehradun248001India Computer Engineering and Control Systems Department Faculty of EngineeringMansoura UniversityMansoura35516Egypt Department of Computer Science Faculty of Computer and Information SciencesAin Shams UniversityCairo11566Egypt Department of Computer Science College of Computing and Information TechnologyShaqra University11961Saudi Arabia

In data mining and machine learning,feature selection is a critical part of the process of selecting the optimal subset of features based on the target *** are 2n potential feature subsets for every n features in a dataset,making it difficult to pick the best set of features using standard ***,in this research,a new metaheuristics-based feature selection technique based on an adaptive squirrel search optimization algorithm(ASSOA)has been *** using metaheuristics to pick features,it is common for the selection of features to vary across runs,which can lead to *** of this,we used the adaptive squirrel search to balance exploration and exploitation duties more evenly in the optimization *** the selection of the best subset of features,we recommend using the binary ASSOA search strategy we developed *** to the suggested approach,the number of features picked is reduced while maximizing classification accuracy.A ten-feature dataset from the University of California,Irvine(UCI)repository was used to test the proposed method’s performance *** other state-of-the-art approaches,including binary grey wolf optimization(bGWO),binary hybrid grey wolf and particle swarm optimization(bGWO-PSO),bPSO,binary stochastic fractal search(bSFS),binary whale optimization algorithm(bWOA),binary modified grey wolf optimization(bMGWO),binary multiverse optimization(bMVO),binary bowerbird optimization(bSBO),binary hybrid GWO and genetic algorithm 4028 CMC,2023,vol.74,no.2(bGWO-GA),binary firefly algorithm(bFA),and *** results confirm the superiority and effectiveness of the proposed algorithm for solving the problem of feature selection.

关键词： Metaheuristics adaptive squirrel search algorithm optimization methods binary optimizer

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In-band full-duplex MIMO PLC systems for relaying networks

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Digital communications and Networks 2025年第1期11卷 145-159页

作者： Francisco J.Canete Gautham Prasad Lutz Lampe Communications and Signal Processing Lab Telecommunication Research Institute(TELMA)ETS Ingenieria TelecomunicacionUniversidad de MalagaSpain Ofinno RestonVAUSA Department of Electrical and Computer Engineering The University of British ColumbiaCanada

In Power Line communications(PLC),there are regulatory masks that restrict the transmit power spectral density for electromagnetic compatibility reasons,which creates coverage issues despite the not too long ***,PLC networks often employ repeaters/relays,especially in smart grid neighborhood area *** in broadband indoor PLC systems that offer a notable data rate,relaying may pave the way to new applications like being the backbone for wireless technologies in a cost-effective manner to support the Internet-of-things *** this paper,we study Multiple-Input Multiple-Output(MIMO)PLC systems that incorporate inband full-duplex functionality in relaying *** present several MIMO configurations that allow end-to-end half-duplex or full-duplex operations and analyze the achievable performance with state-of-the-art PLC *** reach this analysis,we get channel realizations from random network layouts for indoor and outdoor *** adopt realistic MIMO channel and noise models and consider transmission techniques according to PLC *** concepts discussed in this work can be useful in the design of future PLC relay-aided networks for different applications that look for a coverage extension and/or throughput:smart grids with enhanced communications in outdoor scenarios,and“last meter”systems for high-speed connections everywhere in indoor ones.

关键词： PLC MIMO Relaying networks OFDM Spatial correlation Performance analysis

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Simulation of a Pick and Place System for Electronic Cards Using a YuMi Cobot 10

Simulation of a Pick and Place System for Electronic Cards U...

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10th International Conference on Automation, Robotics, and Applications, ICARA 2024

作者： Sze, Derrick L. Reyes, Rosula S.J. Abu, Patricia Angela R. Computer and Communications Engineering Department of Electronics United States Ateneo de Manila University Department of Information Systems and Computer Science Quezon City Philippines

ISBN: (纸本)9798350394245

Collaborative Robots are one of the main drivers of Industry 4.0, which started as a vision focusing on industrial production. It addresses several challenges in the current manufacturing industry such as performing repetitive work and requiring highly skilled workers. The goal of the research is to be able to simulate a pick and place environment with electronic cards using a YuMi cobot and mobile platforms in Coppeliasim. The mobile robot is responsible for transporting the electronic cards to the target location through path planning implemented using the OMPL plug-in. After arriving at the target location, YuMi will then perform the pick and place task from vertically stacked cards through inverse kinematics. Use cases were considered on the chosen mobile platform and robotic arms to determine the capabilities and limitations of the hardware involved. In addition, the total power consumption was obtained for energy assessment when the setup is performed in a real-world setting. For this particular setup, the fourth joint starting from the base consumed the most power and is therefore the primary target for optimization. © 2024 IEEE.

关键词： Motion planning

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Demonstrating the Potential of Visualization in Education with the Manim Python Library: Examples from Algorithms and Data Structures 47

Demonstrating the Potential of Visualization in Education wi...

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47th ICT and Electronics Convention, MIPRO 2024

作者： Marković, Milorad Kaštelan, Ivan University Of Novi Sad Department Of Computing And Control Engineering Sub-department Of Computer Engineering And Communications Novi Sad Serbia

ISBN: (纸本)9798350382495

Visualization is a powerful tool for learning and teaching complex concepts, especially in the field of computer science. However, creating effective and engaging visualizations can be challenging and time-consuming for educators and students. This paper demonstrates how the Manim Python library, a free and open-source project for creating mathematical animations, can be used to create visualizations that illustrate algorithms and data structures in an undergraduate course. The paper showcases several examples of visualizations created with the Manim library, and explains how they help the students to understand the logic, behavior, and performance of the algorithms and data structures. The paper also discusses the benefits and limitations of the Manim library, and suggests some directions for future research and development. © 2024 IEEE.

关键词： Python

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Intrusion Detection Using Federated Learning for Computing

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computer Systems Science & engineering 2023年第5期45卷 1295-1308页

作者： R.S.Aashmi T.Jaya Department of Computer Science and Engineering CSI Institute of TechnologyThovalaiTamilnaduIndia Department of Electronic Communications and Engineering CSI Institute of TechnologyThovalaiTamilnaduIndia

The integration of clusters,grids,clouds,edges and other computing platforms result in contemporary technology of jungle *** novel technique has the aptitude to tackle high performance computation systems and it manages the usage of all computing platforms at a *** learning is a collaborative machine learning approach without centralized training *** proposed system effectively detects the intrusion attack without human intervention and subsequently detects anomalous deviations in device communication behavior,potentially caused by malicious adversaries and it can emerge with new and unknown *** main objective is to learn overall behavior of an intruder while performing attacks to the assumed target ***,the updated system model is send to the centralized server in jungle computing,to detect their *** learning greatly helps the machine to study the type of attack from each device and this technique paves a way to complete dominion over all malicious *** our proposed work,we have implemented an intrusion detection system that has high accuracy,low False Positive Rate(FPR)scalable,and versatile for the jungle computing *** execution time taken to complete a round is less than two seconds,with an accuracy rate of 96%.

关键词： Jungle computing high performance computation federated learning false positive rate intrusion detection system(IDS)

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Classification of Malignant or Benign Cancer using Neural Networks 7

Classification of Malignant or Benign Cancer using Neural Ne...

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7th International Conference on Advances in Biomedical engineering, ICABME 2023

作者： Haidar, Gaby Abou Achkar, Roger Semaan, David Owayjan, Michel American University of Science and Technology Beirut Lebanon Faculty of Engineering and Computer Science Department of Computer and Communications Engineering Lebanon

ISBN: (纸本)9798350325850

Cancer detection and predetection are being highly researched and studied recently due to the high density spread of this disease. It occurs when abnormal cells divide continuously without limitation where it can spread randomly to different parts of the body. Different types of cancer are recorded targeting the blood, lungs, bones, liver, and many other organs. People with cancer have similar symptoms such as lumps, abnormal bleeding, eating problems, fatigue, weight loss, and some more severe issues. Breast Cancer, which will be addressed in this work, is a type of cancer that hits women in general. It is dangerous especially when cells around the breast area overgrow and cause lumps on the breasts. In order to pre-detect and try to avoid breast cancer., it's important to perform annual mammography check. This work is aimed to create a classification system that uses neural network algorithms to conclude whether a certain tumor is a malignant or a benign tumor. Back Propagation algorithm as well as supervised learning were used and tested with highly satisfying successful classification. © 2023 IEEE.

关键词： Diseases

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EchoEyes: Shopping Items Identification Assistant for People with Vision Impairment

EchoEyes: Shopping Items Identification Assistant for People...

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2024 IEEE Region 10 Conference, TENCON 2024

作者： Tan, Adriel Jarred A. Guico, Maria Leonora C. Galicia, Jan Kevin A. Ateneo de Manila University Department of Electronics Computer and Communications Engineering Quezon City Philippines

ISBN: (纸本)9798350350821

Vision impairment is a global issue and a daily struggle for those affected. Activities requiring access to information, particularly shopping, are a major hindrance for people with vision impairment. This study aimed to bridge the accessibility gap for people with vision impairment or PVI by developing assistive technology to aid them in shopping. The developed device used the Raspberry Pi with the YOLOv8 object detection model in eyeglasses form factor to detect shopping items using a custom dataset with Philippine shopping items and output the detected item description as audio feedback. © 2024 IEEE.

关键词： Assistive technology

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OFDM-structure based waveform designs for integrated sensing and communication

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Science China(Information Sciences) 2025年第5期68卷 267-284页

作者： Jiaqi LIU Ping YANG Ke JIANG Jiarong ZHAO Wei XIANG Jianping WEI Ruixiang DUAN Saviour ZAMMIT Tony Q.S.QUEK National Key Laboratory of Wireless Communications University of Electronic Science and Technology of China School of Computing Engineering and Mathematical Sciences La Trobe University Meituan Academy of Robotics Department of Communications and Computer Engineering University of Malta Information Systems Technology and Design Pillar Singapore University of Technology and Design

The future sixth-generation(6G) paradigm aims to seamlessly integrate communication and environmental sensing capabilities into a single radio signal, promising improved efficiency and cost-effectiveness through simultaneous data communications and environmental perception. At the core of this evolution, orthogonal frequency division multiplexing(OFDM) and its advanced waveforms emerge as pivotal for integrated sensing and communications(ISAC). This study introduces a concise and unified ISAC waveform design framework based on orthogonal multicarriers. This framework supports versatile applications of OFDM and its derivative waveforms within a generalized ISAC system, marking a significant leap in integrating communication and sensing capabilities. A distinguishing feature of this framework is its adaptability,allowing users to intelligently select modulation strategies based on their specific environmental needs. This adaptability optimizes performance across diverse scenarios. Central to our innovations is the proposal of discrete Fourier transformspread OFDM with index modulation(DFT-S-OFDM-IM). This framework is paired with newly proposed signal processing methods for single-input single-output and multiple-input multiple-output(MIMO) systems. Extensive evaluations highlight DFT-S-OFDM-IM's superiority, including dramatically reduced peak-to-average power ratios(PAPRs), competitive communication performance, and exceptional sensing capabilities, striking an elegant balance between communication capacity and environmental sensing precision.

关键词： DFT-S-OFDM-IM index modulation integrated sensing and communication OFDM

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Real-Time Vehicle Tracking Mobile Application for University Campus Mobility Aid 6

Real-Time Vehicle Tracking Mobile Application for University...

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6th International Conference on Electrical, Control and Instrumentation engineering, ICECIE 2024

作者： Respecia, Nicole A. Tuazon, Angelie Bernadette J. Guico, Maria Leonora C. Galicia, Jan Kevin A. Ateneo de Manila Univeristy Department of Electronics Computer and Communications Engineering Quezon City Philippines

ISBN: (纸本)9798350380040

The campus e-jeep system is intended to provide a convenient means of transportation within the campus. However, the lack of accessible ride information-such as the current location of e-jeeps, estimated time of arrival (ETA), and passenger count-often results in an inconvenient and inefficient experience for passengers. This study aimed to develop a cross-platform mobile application to enhance campus mobility by visualizing critical ride information, including e-jeep locations, station ETAs, and the number of available seats. To assess the application's user-friendliness, a prototype was tested by riders, which allowed the researchers to refine the application with a focus on improving the e-jeep riding experience. The application utilizes a database of near real-time e-jeep information stored in Firebase. The prototype was designed using Figma, and the mobile application was developed using several key technologies: Visual Studio Code, Expo Go, React Native, Tailwind CSS, and Google Maps. The application demonstrated 100% accuracy with an average latency of 414.7365 ms. It was also found to be scalable, capable of accommodating 10 e-jeeps and 500 simultaneous users. Finally, installer files for both Android and iOS were built and made available for download. © 2024 IEEE.

关键词： Tracked vehicles

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IsoGAN: A Gan Based Method for Isometric View Images Generation from Three Orthographic Views Contour Drawings 31

IsoGAN: A Gan Based Method for Isometric View Images Generat...

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31st IEEE International Conference on Image Processing Challenges and Workshops, ICIPCW 2024

作者： Phuong, Thao Nguyen Sakaino, Hidetomo Duy, Vinh Nguyen FPT Consulting Japan Japan Waseda University Department of Computer Science and Communications Engineering Japan

ISBN: (纸本)9798331515942

Reconstructing the 2D or 3D shape of an object from several 2D drawings is a crucial problem in computer-Aided design (CAD). Despite the advancement of deep neural networks, automatic isometric image generation from three orthographic views line drawings using deep learning remains unresolved. Existing image-To-image translation techniques often generate images from just one input image. In this paper, we propose a novel method for the above task using a GAN-based model, namely IsoGAN. This method takes three images of object's front, side, and top view as input, then analyzes the spatial and geometrical relations between each view and finally generates the corresponding isometric view image of the object. Extensive experiments on SPARE3D dataset show promising results of IsoGAN on isometric view generation task, demonstrating the effectiveness of the proposed IsoGAN. © 2024 IEEE.

关键词： Deep neural networks

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