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Criteria-based Unsupervised Feature Selection Techniques: A Comparative Study Over Chest CT Scan 25

Criteria-based Unsupervised Feature Selection Techniques: A ...

引用

25th international Arab conference on Information technology, ACIT 2024

作者： Al-Daja, Shrouq Alyabrodi, Ala' Moubayed, Abdallah Injadat, MohammadNoor Elrashidi, Ali Zarqa University Data Science & Ai Department Zarqa Jordan Zarqa University Cyber Security Department Zarqa Jordan King Fahd University of Petroleum & Minerals Interdisciplinary Research Center for Intelligent Secure Systems Computer Engineering Department Dhahran Saudi Arabia University of Business and Technology Department of Electrical Engineering Jeddah21432 Saudi Arabia

ISBN: (纸本)9798331540012

Research on classifying chest CT scans as normal or abnormal using machine learning and deep learning has garnered significant attention. To address this, various feature selection (FS) methods are employed to reduce dimensionality and identify key features. This paper evaluates criteria tailored to unsupervised binary datasets, such as feature subsets, redundancy, and diversity, by comparing Mutual Information-Based Methods (MI) with Clustering-Based Feature Selection (Agglomerative Clustering) ones. Additionally, it examines Graph Structure, Spectral Properties, and Quality criteria by comparing Graph-Based Methods with Spectral Feature Selection-be (SPEC). For feature reduction, Agglomerative Clustering may offer a slight advantage due to better handling of diversity and redundancy, though the difference is minimal. If these aspects are crucial, Agglomerative Clustering might be preferred. Conversely, for Graph-Based vs. SPEC, SPEC Method is more suitable for feature reduction due to its coherent feature selection and focus on capturing significant patterns related to medical interventions. © 2024 ieee.

关键词： Contrastive Learning

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Distributed Cooperative control for Human-Unmanned Aerial Vehicle Swarm Teaming in Target Tracking*

Distributed Cooperative Control for Human-Unmanned Aerial Ve...

引用

ieee international conference on Robotics and Biomimetics

作者： Hangxuan He Mengzhen Huo Haibin Duan School of Automation Science and Electrical Engineering Beihang University Beijing PR China Science and Technology on Aircraft Control Laboratory School of Automation Science and Electrical Engineering Beihang University Beijing PR China

ISBN: (数字)9798331509644

ISBN: (纸本)9798331509651

Over the last decade, the relationship between humans and cyber-physical systems has grown closer, particularly in fields such as manufacturing and transportation. This paper presents a control framework within the engineering domain, wherein a human operator collaborates with a swarm of unmanned aerial vehicles (UAVs) to achieve a shared goal. First, we construct a human-swarm mutual trust model that empowers both parties with a degree of autonomy. Second, we adopt a distributed optimization algorithm integrated with control barrier functions to manage the swarm's motion. The cooperative control framework is demonstrated in a 3D scenario, and simulation results verify the feasibility of the proposed method.

关键词： Three-dimensional displays Target tracking Simulation Transportation Collaboration cyber-physical systems Autonomous aerial vehicles Manufacturing Optimization Robots

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Design and Implementation of an intelligent Solar-Powered Street Lighting System with IoT Integration for Enhanced Energy Efficiency and Adaptive control 9

Design and Implementation of an Intelligent Solar-Powered St...

引用

9th international conference on Communication and Electronics systems, ICCES 2024

作者： Lokeshwar Jaganath, P.K. Raja Vikarama Aswin, K.R.S. Nisha, P. St. Joseph's Institute of Technology Department of Electrical and Electronics Engineering OMR Chennai India

ISBN: (数字)9798350377972

ISBN: (纸本)9798350377972

The project aims to create sustainable urban infrastructure by implementing a comprehensive system for highway street lighting using renewable energy sources, particularly solar panels. The system uses a NodeMCU microcontroller for real-time control, enabling remote monitoring and control. Solar panels are strategically used to charge a battery, ensuring efficient energy consumption and minimal impact on generation. The paper presents an IoT-based smart street light system using the ESP8266 microcontroller, LDR, and IR sensor. The system improves energy efficiency and adaptive control, reducing energy consumption and enabling automatic lighting management. The NodeMCU microcontroller, LDR, IR sensors, breadboard, LEDs, and wiring are integrated into a smart street lighting system. The Arduino IDE for programming ensures seamless integration and efficient management. The system eliminates limitations of traditional lighting systems, such as inefficiency and energy consumption, making it suitable for high-traffic areas. © 2024 ieee.

关键词： Microcontrollers

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Stability And Power Flow control For Practical System With Wind Farm Using STATCOM 1

Stability And Power Flow Control For Practical System With W...

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1st international conference on intelligent Technologies for Sustainable Electric and Communications systems, iTech SECOM 2023

作者： Bavithra, K. Ansha Prathiba, M. Subash Kumar, C.S. Pavithra, C.V. Divya, R. Psg Institute of Technology and Applied Research Department of Eee Tamilnadu India Alvas Institute of Engineering and Technology Department of Ece Karnataka Mangalore India

ISBN: (纸本)9798350371185

In this study, a Static Synchronous Compensator (STATCOM) is employed to regulate power flow in the TNEB-62 bus system (practical system). The test system for the windmills is linked to the 34th bus (Nagercoil). The wind farm model was made using information acquired from the Nagercoil wind farms. The TNEB-62 bus system and wind farm modeling are done in the MATLAB environment. After the windmills in the specific localityare connected to the definite bus, the voltage profile changes. The STATCOM that is connected to the particular bus in the test system gives the required Q under various working conditions. This enhances the voltage profile of the system. Two distinct scenarios - one with and one without the usage of STATCOM in the wind farm - are simulated. The simulation results show that STATCOM-using windmills perform better and have better control overthe flow of power. © 2023 ieee.

关键词： Static synchronous compensators

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Lane-changing Trajectory Planning of intelligent Electric Vehicle based on Stability Region 6

Lane-changing Trajectory Planning of Intelligent Electric Ve...

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6th CAA international conference on Vehicular control and Intelligence, CVCI 2022

作者： Wang, Fanxun Shen, Tong Ren, Yanjun Yin, Guodong Zhao, Mingzhuo Lu, Yanbo School of Mechanical Engineering Southeast University Nanjing China School of Cyber Science and Engineering Southeast University Nanjing China

ISBN: (数字)9781665453745

ISBN: (纸本)9781665453745

With the rapid development of intelligent electric vehicles, the technology of lane-changing trajectory planning has become one of the pivotal issues. However, intelligent vehicles have problems of unsafety and conservation, especially in the complex traffic environment such as high speed and emergency collision avoidance, which ignores the dynamic behavior mechanism of the nonlinear system. In this paper, the lane-changing trajectory model is developed based on quintic polynomial;the global feasible region is determined by environmental constraints and stability region constraints;the trajectory multi-objective optimization is carried out based on TOPSIS algorithm;the results of simulation and experiment finally show the feasibility of the trajectory planner. © 2022 ieee.

关键词： Multiobjective optimization

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A Power Split Strategy for a Vehicular Hybrid Energy Storage System Using Adaptive Neuro Fuzzy Inference System 8

A Power Split Strategy for a Vehicular Hybrid Energy Storage...

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8th ieee international conference on Advanced Robotics and Mechatronics, ICARM 2023

作者： Li, Jiao Zhang, Lijun Yang, Longzhi Wang, Bo School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Huazhong University of Science and Technology Belt and Road Joint Laboratory on Measurement and Control Technology Wuhan430074 China Northumbria University Faculty of Engineering and Environment Department of Computer Science and Digital Technologies Newcastle upon TyneNE1 8ST United Kingdom

ISBN: (纸本)9798350300178

This paper presents a real-time power split strategy for a battery-supercapacitor hybrid energy storage system. The objective of the proposed strategy is to alleviate battery degradation through effective supercapacitor utilization. The proposed strategy employs an adaptive neural fuzzy inference system, which is capable of learning a power split strategy from offline optimization results and distributing power in real-time. The performance of the strategy proposed and a low pass filtering technique is compared through simulations. The results demonstrate that the proposed method can effectively reduce battery capacity loss and perform well under unknown driving cycles in real time. © 2023 ieee.

关键词： Supercapacitor

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BLDC Motor-Based Mixer Development

BLDC Motor-Based Mixer Development

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2024 ieee international conference on intelligent systems and Advanced Applications, ICISAA 2024

作者： Warbhe, Rutuja Patil, Ganesh Sharma, Anshu Bugade, Vilas Ugemug, Nilesh Dr. D. Y. Patil Institute of Technology Pimpri Department of Electrical Engineering Pune India Marathwada Mitramandal College of Engineering Karvenagar Department of Electrical Engineering Pune India Anand Niketan College of Arts Commerce and Science Department of Physics Warora India

ISBN: (纸本)9798331539948

A BLDC motor is one that possesses the characteristics of dc motor eliminating with the brushes and commutator. Brushless DC motors can frequently take theplace of traditional DC motors. The rotor is devoid of any brushes. They are powered by direct current voltage, but solid- state switches handle the current commutation;i.e. it is done electronically rather than mechanically. These motors come in a wide range of power ratings ranging from small motors used in hard drives to massive motors found in electric vehicles, or EVs. BLDC motors are superior to brushed DC motors in certain ways [3]. A coiled rotor enfolds the permanent magnet rotor of the BLDC motor. Rather than using brushes, the stator's winding is electrically commutated which increases the BLDC motor's durability, efficiency, and ease of maintenance. It also makes it smaller and easier to regulate. DC appliances and DC distribution systems provide a more economical use of scarce energy resources. An effective replacement for the current inefficient mixer and grinders is a BLDC mixer grinder. This paper proposes a low-cost, straightforward control technique for a three-phase BLDC motor-driven DC mixer-grinder. An all-in-one BLDC motor-controller is created. © 2024 ieee.

关键词： Permanent magnets

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Enhancing Student Engagement and Performance in Online Classrooms through a Smart Management Application 3

Enhancing Student Engagement and Performance in Online Class...

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3rd international conference on Electronics and Renewable systems, ICEARS 2025

作者： Gowthambalagi, M. Vishnu, S.M. NaveenKumar, M. Raja, S. K.S. Rangasamy College of Technology Department of Artificial Intelligence and Data Science Tiruchengode India

ISBN: (纸本)9798331509675

The fast pace of technological growth has revolutionized the education industry, and there is a need for embracing intelligent solutions to improve classroom management and student engagement. The Smart Classroom Management System (SCMS) takes advantage of innovative technologies like facial recognition, screen sharing, and real-time analytics to automate administrative processes, track student attentiveness, and promote interactive learning spaces. With process automation for features such as tracking attendance and evaluating student interaction, SCMS eliminates the strain on teachers but presents meaningful analytics for enhancing instructional techniques. Further, the software integrates AI-enabled components for one-to-one testing and adaptive questioning capabilities to promote tailored learning outcomes. SCMS allows hybrid learning and remote schooling by leveraging cloud capabilities, assuring accessibility, flexibility, and safety. This review research investigates current literature regarding smart classroom technologies, identifies major implementation challenges, and discusses future developments in AI-based education. The results focus on the use of SCMS to develop a dynamic and student-focused learning environment, ultimately enhancing educational outcomes and preparing students for the changing digital world. © 2025 ieee.

关键词： Convolutional neural networks

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Feature Reduction-based Intrusion Detection (FRID) in Satellite-Terrestrial Integrated Networks 5

Feature Reduction-based Intrusion Detection (FRID) in Satell...

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5th international conference on High Performance Big Data and intelligent systems, HDIS 2023

作者： Yao, Lin Tian, Ziyuan Deng, Jing Wu, Guowei Li, Li DUT-RU International School of Information Science & Engineering Dalian University of Technology Dalian China School of Software Dalian University of Technology Dalian China The Department of Computer Science UNC Greensboro UNC NC Greensboro27412 United States Department of Computer and Information Science University of Macau China

ISBN: (纸本)9798350394160

Satellite-Terrestrial Integrated Networks (STINs) integrate satellite networks, the Internet, and mobile wireless networks and are able to provide powerful services to users. In STIN, satellite gateways play an important role of connecting space-based networks to terrestrial-based networks, but can be under frequent attacks such as Distributed Denial of Services (DDoS) attack. Therefore, intrusion detections become essential in STINs. In this work, we propose a feature reduction-based intrusion detection (FRID) technique with the help from deep reinforcement learning. In FRID, only features that are highly distinguishable, robust, and independent are selected for the later stages. Experimental results show the accuracy, recall, FAR, and F1 scores comparing FRID with several state-of-the-art schemes and demonstrate its superiority. ©2023 ieee.

关键词： Intrusion detection

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A Two-stage H.264 based Video Compression Method for Automotive Cameras 5

A Two-stage H.264 based Video Compression Method for Automot...

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ieee 5th international conference on Industrial cyber-Physical systems (ICPS)

作者： Wang, Yiting Chan, Pak Hung Donzella, Valentina Univ Warwick WMG Coventry W Midlands England

ISBN: (纸本)9781665497701

With the development of automated vehicles and advanced driver assistance systems, the compression of the large amount of data generated by the vehicle camera sensors becomes a necessary processing step to improve the automated driving system efficiency. H.264 is a widely adopted video compression scheme, and it has been designed for human vision. Rate control in H.264 uses fixed quantisation parameter, however, this process can lead to fluctuation in different regions of the image quality of each frame. In this paper, we propose a two-stage H.264 based video compression framework, named "Two Stage Compression (TSC)", to compress the automotive camera videos with different values of compression rate in different regions of each frame. In the first stage, each frame will be divided into the region-of-interest and the region-out-of-interest. In the second stage, different compression ratios will be applied based on the importance of the region. The experimental results show that under the same overall compression ratio, our proposed TSC increments the semantic-aware PSNR by 3.213 dB compared to uniform H.264 compression. Our method is also compared to uniform H.264 compression using a segmentation algorithm, with an improvement of 1.77% in mIOU, the average Intersection over Union.

关键词： Automotive camera data video compression semantic segmentation machine learning intelligent Vehicles Automated and Assisted driving

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