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共 63738 条记录，以下是321-330 订阅

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Detection and Tracking of Drug Trafficking in Encrypted Social Media

Detection and Tracking of Drug Trafficking in Encrypted Soci...

引用

Advancements in Electrical, Electronics, communication, computing and automation (ICAECA), international conference on

作者： A Sridevi Yogesh V Surendar P Uthayan U Sivapranesh T Department of Electronics and Communication Engineering M. Kumarasamy College of Engineering Karur India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

Social media platforms are now crucial for the promotion and distribution of illegal drugs. Hashtags increase the likelihood of drug usage by making it simpler for users to participate in drug trafficking. Nonetheless, identifying and controlling drug trafficking activities presents considerable difficulties. Furthermore, the quick legalization of some substances has necessitated a more precise classification of drugs in order to differentiate them from illegal ones. Inspired by these findings, our goal in this study is to create a methodology that uses the most recent developments in artificial intelligence technology to categorize hashtags from postings that advertise illegal narcotics for sale on social media. We offer a semi-supervised deep learning method for categorizing hashtags from posts that promote illegal substances.

关键词： Drugs Deep learning Social networking (online) Law enforcement Natural language processing Real-time systems Public security Telecommunication computing Artificial intelligence Monitoring

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Self-Triggered Consensus control for Third-Order Heterogeneous Vehicle Platoon

Self-Triggered Consensus Control for Third-Order Heterogene...

引用

international conference on Applied Nonlinear Dynamics, Vibration and control, ICANDVC 2024

作者： Lv, Zhenwei Zeng, Chunnian Ma, Haijun Wang, Weiping An, Shufan School of Automotive Engineering Wuhan University of Technology Wuhan430070 China Henan Fuwo Intelligent Equipment Company Limited Zhengzhou450000 China School of Computer and Communication Engineering University of Science and Technology Beijing Beijing100083 China

ISBN: (纸本)9789819633166

In this paper, the consensus problem of third-order heterogeneous platoon under self-triggered and event-triggered scheme is studied. Different and uncertain driveline time constants of vehicles are the main manifestation of the heterogeneity. Based on this heterogeneous platoon, the string stability under the nonlinear distance policy and constant time headway policy are studied. Then, an event-triggered strategy is introduced into the system to save limited communication and computing resources. Continuous communication between vehicles during detecting the event-triggering function is no need under the proposed event-triggered scheme. Furthermore, Taylor formula is used to design a self triggering scheme. Under the proposed self-triggered scheme, triggering interval is calculated directly by the information of last triggering-instant. Therefore, the Zeno behavior and the continuously detecting of event-triggering function can be avoided. Finally, the effectiveness of the theoretical results is verified by simulations. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Event-triggered Heterogeneous platoon Self-triggered Spacing policy String stability

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Hybrid Quantum Model for Digital Media Processing for Metal Surface Defect

Hybrid Quantum Model for Digital Media Processing for Metal ...

引用

Advancements in Electrical, Electronics, communication, computing and automation (ICAECA), international conference on

作者： Joy Saha Shreyansh Jain Roopa M Department of Computer Science and Engineering SRM Institute of Science and Technology Chennai India Department of Electronics and Communication Engineering SRM Institute of Science and Technology Chennai India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

Processing Digital media such images is a crucial step for any image classification task such as surface defect detection or any deep learning task which include Digital Media Processing. Ensuring the detail capturing of each and every feature of the input image from each and every pixel is must in order to build a robust system with minimal error or no error. While it may not be possible and causes the struggle for classical computing methods to efficiently capture and process complex patterns and subtle details. Utilising quantum computing for digital image processing gives an advantage over classical methods as it operates on high dimensional space and leverages quantum parallelism to explore numerous possibilities simultaneously. This enable the extraction of more complex features that might be otherwise missed improving the model’s capability to flag defects with greater accuracy and efficiency. Quantum computing’s potential to enhance feature extraction can significantly boost the performance of classification models, leading to dependable and precise surface defect detection.

关键词： Deep learning Analytical models Quantum computing Computational modeling Digital images Media Parallel processing Feature extraction Surface treatment Defect detection

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AI enhanced Autonomous Traffic Sign Recognition and Action System

AI enhanced Autonomous Traffic Sign Recognition and Action S...

引用

Advancements in Electrical, Electronics, communication, computing and automation (ICAECA), international conference on

作者： R. Dhivyapraba K. Kavitha Karthik P Kaushik P Department of Electronics and Communication Engineering Kumaraguru College of Technology Coimbatore India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

The development of automatic detection and recognition of traffic signs is essential for intelligent transportation solutions (ITS) and the integration with autonomous systems. The proposed system integrates traffic sign data with a Raspberry Pi platform and Deep Learning methods to detect and recognize various traffic signs. It addresses the challenges associated with detecting and recognizing traffic signs, enhancing the safety and efficiency of ITS systems. The system receives real-time input from cameras positioned at traffic signals, which is processed using YOLOv5. Following processing, the output is sent to a Raspberry Pi via WebSocket and asynchronous I/O Python libraries. Using Blynk-based technology, the Raspberry Pi then carries out the appropriate steps, such changing the speed of the vehicle or halting.

关键词： YOLO Accuracy Urban areas Lighting Real-time systems Road safety Safety Telecommunication computing Autonomous vehicles Vehicles

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A Study on Low Power Latch Comparator with Self-Cascode Pre-Amplifier

A Study on Low Power Latch Comparator with Self-Cascode Pre-...

引用

Advancements in Electrical, Electronics, communication, computing and automation (ICAECA), international conference on

作者： Jaspar Vinitha Sundari T Gokul P Balayogesh T Nandha Kumar S K. Paramasivam Department of Electronics and Communication Engineering Kumaraguru College of Technology Coimbatore India Department of Electrical and Electronics Engineering Kumaraguru College of Technology Coimbatore India

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

Comparator design has advanced significantly due to raising demands. In the preamplifier stage of a traditional comparator, a self-cascode structure is included into a novel comparator architecture shown in this study. A static latch is used in place of the traditional dynamic latch to improve comparison speed. The latch is further altered in the suggested design to achieve lower delay, which makes it ideal for use in biomedical devices and high-speed systems. The circuit exhibits an energy efficiency of 29.48 fJ, delay of 54.39 ps, and a power consumption of 10.58 μW. Monte Carlo and process corner simulations were used to verify robustness

关键词： Latches Power demand Monte Carlo methods Computer architecture Preamplifiers Robustness Delays Telecommunication computing Impedance Integrated circuit modeling

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Arduino Based Gaming Glove Using Mpu6050 Sensor

Arduino Based Gaming Glove Using Mpu6050 Sensor

引用

Advancements in Electrical, Electronics, communication, computing and automation (ICAECA), international conference on

作者： T. Jayanthi S. N. Shivappriya R.S Santhosh S. Saranjith V. Teenu Karthick S. Thirisha Department of Electronics and Communication Engineering Dr.N.G.P Institute of Technology Coimbatore Tamil Nadu ECE Department Kumaraguru College of Technology Coimbatore Tamil Nadu

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

This work focuses on developing an Arduino-based gaming glove that converts hand gestures into real-time game controls using an MPU6050 sensor. Key challenges addressed include ensuring sensor accuracy and calibration, real-time data processing to avoid lag, maintaining comfort for extended use, reliable power management, durability of components, software integration, and balancing cost and accessibility.

关键词： Hands Costs Power system management Games Data processing Real-time systems Software Telecommunication computing Software reliability Gyroscopes

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Generative AI in Autonomous UAV Systems: Revolutionizing Surveillance and Rescue Missions

Generative AI in Autonomous UAV Systems: Revolutionizing Sur...

引用

Advancements in Electrical, Electronics, communication, computing and automation (ICAECA), international conference on

作者： K Mouthami Elamathi T Brijesh A Ba Hari P T Department of Computer Science and Engineering KPR Institute of Engineering and Technology Coimbatore Department of Electronics and Communication KPR Institute of Engineering and Technology Coimbatore

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

Defense and disaster management requires more advanced and efficient technological solutions for rapid responses. This research work introduces a leading-edge technique that integrates Enhanced Super Resolution Generative Adversarial Network (ESRGAN) and Yolo Only Look Once Version 11 (YOLOv11) for the autonomous drone. This approach marks a significant advancement in aerial monitoring of the environment by increased surveillance capabilities and reduced reaction time improving the overall efficiency. The proposed Artificial Intelligence (AI) model can be added to Unmanned Aerial Vehicles (UAV) which has predefined paths and is autonomous to reduce human interventions in defense and disaster relief operations. Beyond technical implementation, real-world applications, limitations and challenges of the proposed methodology is also discussed.

关键词： Disasters Surveillance Superresolution Disaster management Watches Autonomous aerial vehicles Real-time systems Telecommunication computing Reliability Drones

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Medical Assistance System Using Large Language Model and Medical Data Management

Medical Assistance System Using Large Language Model and Med...

引用

Advancements in Electrical, Electronics, communication, computing and automation (ICAECA), international conference on

作者： Nivetha R Kaviya Priya S Ranjith Kumar P Dinesh Arun M Soundararajan N Nivethika R Ananya Bhattacharjee CSE Kumaraguru College of Technology Coimbatore IT Kumaraguru College of Technology Coimbatore ISE Kumaraguru College of Technology Coimbatore

ISBN: (数字)9798331525439

ISBN: (纸本)9798331525446

This project aims to create a multi-module system to deal with issues related to healthcare personal record keeping and communication. There are three modules working synchronously. The process of extracting meaningful information from the prescriptions and storing them in a database is done in Module 1. In Module 2, a fine-tuned Large Language Model is implemented with information retrieval capabilities that enables users to ask medical-related queries and retrieve their medical history using natural language. With the help of the voice interaction technology included in Module 3, users can interact verbally with the system by giving voice instructions, and the system will respond accordingly.

关键词： Databases Large language models Optical character recognition Medical services Information retrieval Data processing Telecommunication computing History Electronic medical records Digital information

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Position Paper: Computer Supported Education vs. Education Supported computing - On the Problem of Informed Decision Making of Appropriate Data Analytics Method 17

Position Paper: Computer Supported Education vs. Education S...

引用

17th international conference on Computer Supported Education, CSEDU 2025

作者： Kazempour, Daniyal Attig, Christiane Kröger, Peer Tufail, Muhammad Aammar Winkler, Daniela E. Zelenka, Claudius Christian-Albrechts-Universität zu Kiel Kiel Germany Universität zu Lübeck Lübeck Germany

ISBN: (纸本)9789897587467

In the field of data-related analytics, the overwhelming number of available methods presents a challenge: Which method should actually be chosen for a given problem? In this position paper, we raise awareness of this issue and propose educational and computational concepts to address related challenges and possibilities. As a unique contribution, we include the perspectives of scientists from different domains which include biology, bioinformatics, and psychology on the problem of method selection, aiming to initiate future discussions and advancement. Copyright © 2025 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Data Analytics

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Deep Learning-Based Spectrum Sharing for Dynamic Resource Allocation in 6G Cognitive Radio Networks 4

Deep Learning-Based Spectrum Sharing for Dynamic Resource Al...

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4th international conference on Power, control and computing Technologies, ICPC2T 2025

作者： Upadhyay, Deepak Upadhyay, Abhay Venu, Nookala Kukreti, Kamlesh Dept. of Computer Science and Engineering Graphic Era Hill University Dehradun India Dept. of Computer Science and Engineering Graphic Era Deemed to Be University Dehradun India Centre for Internet of Things Madhav Institute of Technology & Science Deemed University Gwalior India Dept. of Electronics and Communication Engineering Graphic Era Deemed to be University Dehradun India

ISBN: (纸本)9798331530402

We conduct an extensive study on deep learning-based spectrum sharing to resolve dynamic resource allocation in 6G cognitive radio networks in this paper. The approach uses modern machine learning models to optimize spectrum usage, increase prediction accuracy of spectrum availability, and reduce interference among the primary and secondary users. We need to evaluate the performance of deep learning algorithms against the traditional spectrum allocation methods in simulation. In the paper, regular quality of service metrics such as throughput distribution and fairness among users are demonstrated to be much improved with these results, where both latency and energy consumption have been cut down dramatically. This work demonstrates the paradigm-shifting role of deep learning in spectrum management for 6G networks, pointing towards intelligent and effective resource allocation mechanisms in tomorrow's communications. © 2025 IEEE.

关键词： Cognitive radio

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