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Multi-Scale Quantum Harmonic Oscillator Behaved Algorithm with Three-Stage Perturbation for High-Dimensional Expensive Problems

Multi-Scale Quantum Harmonic Oscillator Behaved Algorithm wi...

引用

2024 ieee international conference on Systems, Man, and Cybernetics, SMC 2024

作者： Ye, Xinggui Li, Jianping Wang, Peng School of Computer Science and Engineering University of Electronic Science and Technology of China Chengdu611731 China School of Computer Science and Technology Southwest Minzu University Chengdu610225 China

ISBN: (纸本)9781665410205

Quantum perturbation plays an important role in quantum movement. This paper proposes a three-stage perturbation (TSP) framework to enhance the performance of multi-scale quantum harmonic oscillator algorithm (MQHOA). Three perturbations are adopted in the population initialization process with opposition-based learning (OBL), in quantum harmonic oscillator (QHO) process with ensemble of three differential evolution (DE) strategies and in multi-scale (M) process with a rollback mechanism to enhance the diversity of the particles and prevent from falling into local optima. The proposed approach has been evaluated on several high-dimensional expensive problems from 50-D to 500-D. The empirical data are compared with recent MQHOA variants and some state-of-the-art similar metaheuristic algorithms (MAs). The experimental results reveal the superiority or competitiveness of the the proposed approach. © 2024 ieee.

关键词： Harmonic analysis

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IoT Based Fire and Motion Detection System

IoT Based Fire and Motion Detection System

引用

2025 ieee international Students' conference on Electrical, Electronics and computer science, SCEECS 2025

作者： Bolimera, Ravi Rachana, Maisa Kaveri, Shivarathri Kiran, Kotturi Ravi Venkanna, Ch. Krishna, G. Vamsi Nalla Narasimha Reddy Education Society's Group of Institutions CM23+774 Ece Dept Telangana Hyderabad500088 India Vnr Vignana Jyothi Institute of Engineering & Technology Vignana Jyothi Nagar Eie Dept Telangana Hyderabad500090 India

ISBN: (纸本)9798331529833

This paper shows system that uses the Internet of Things (IoT) to detect fire and motion detection system which is designed to work in real time and provide emergency alerts within the given region instantly. The system combines fire detectors, small computer units and allowing all parts to communicate in real time whenever needed. The fire detection module employs smoke and temperature sensors to ensure that a fire outbreak in its initial state is detected with high precision. While passive PIR motion sensors bring about the motion detection module to interact with its users. This server helps security officials take quick actions when alerts are triggered. The tests show that the system is very accurate in detecting events like fire and movement. This means it can help prevent problems during a disaster by responding quickly. © 2025 ieee.

关键词： Temperature sensors

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Secure and Efficient Data Fusion in IoT Systems Using Homomorphic Encryption and Machine Learning

Secure and Efficient Data Fusion in IoT Systems Using Homomo...

引用

2024 international conference on Communication, computer sciences and engineering, IC3SE 2024

作者： Goyal, Himanshu Rai Shnain, Ammar Hameed Dixit, Krishna Kant Kumar, Mukesh Khurana, Preeti Harikrishna, M. Graphic Era Deemed To Be University Department Of Computer Science & Engineering Dehradun India College Of Technical Engineering The Islamic University Department Of Computers Techniques Engineering Najaf Iraq Gla University Department Of Electrical Engineering Mathura India Lloyd Institute Of Engineering & Technology Greater Noida India Lovely Professional University Phagwara India Institute Of Aeronautical Engineering Department Of Computer Science And Engineering Telangana Hyderabad India

ISBN: (纸本)9798350366846

This research examines the secure and effective combination of information in Internet of Things (IoT) frameworks utilizing homomorphic encryption and machine learning strategies. The study proposes and assesses four calculations: Secure Aggregation utilizing Homomorphic Encryption, Unified Learning with Secure Model Aggregation, Privacy-Preserving Ensemble Learning, and Secure Multiparty Computation for Collaborative Information Combination. Through tests conducted on manufactured IoT datasets, we survey the security, productivity, and precision of the proposed calculations. Results illustrate high levels of security, with secrecy and judgment protected in all calculations. The computational overhead and communication costs are found to be direct, guaranteeing commonsense possibility in real-world IoT organizations. Furthermore, the precision of the melded information remains competitive, with cruel squared error (MSE) values extending from 0.018 to 0.027 over the calculations. By and large, our investigation contributes to progressing the state-of-the-art in secure and privacy-preserving IoT information combination, empowering educated decision-making and prescient analytics in differing application spaces. © 2024 ieee.

关键词： Internet of things

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Real-Time Gesture Recognition For Arduino-Based LED And Servometer Manipulation Using OpenCV And Mediapipe 1

Real-Time Gesture Recognition For Arduino-Based LED And Serv...

引用

1st ieee international conference on Communications and computer science, InCCCS 2024

作者： Kulkarni, Pavan Kumar V. Sudha, M.S. Divya, K.R. Vignesh, S. Sindhu, M. Electronics and Communication Engineering Cambridge Institute Of Technology Bengalore India

ISBN: (纸本)9798350358858

This This project pioneers a real-time gesture recognition system for Arduino platforms using OpenCV and MediaPipe. Analyzing live video streams, the system interprets hand gestures to dynamically control LEDs and servomotors. Bridging the gap between users and technology, it provides an intuitive interface for hardware manipulation. Through computer vision, gesture recognition algorithms, and Arduino programming, the project advances interactive applications in augmented reality and robotics. The abstract encapsulates its essence, emphasizing real-time gesture recognition's focus and its application in seamlessly controlling LEDs and servomotors for Arduino-based systems, assisting with the evolving field of human-computer interaction. © 2024 ieee.

关键词： Python

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IoT-Enhanced Seaside Monitoring for Early Flood Warning Systems using Intelligent Techniques

IoT-Enhanced Seaside Monitoring for Early Flood Warning Syst...

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2024 international conference on Communication, computer sciences and engineering, IC3SE 2024

作者： Thakur, Hardeo Kumar Singh, Jagendra Verma, Bhumica Mishra, Pooja Anand, Akash Mahendran, N. School Of Computer Science Engineering & Technology Bennett University Greater Noida India Ajay Kumar Garg Engineering College Department Of Computer Science Engineering Ghaziabad India Ajay Kumar Garg Engineering College Department Of Electronics And Communication Engineering Ghaziabad India Aligarh Muslim University Department Of Civil Engineering Aligarh India M. Kumarasamy College Of Engineering Karur India

ISBN: (纸本)9798350366846

The research on IoT-enhanced seaside monitoring for early flood warning systems using intelligent techniques has demonstrated promising results in enhancing coastal resilience against flooding events. The system exhibited high levels of accuracy, reliability, sensitivity, and specificity, ranging from 87% to 93%, 81% to 87%, 86% to 91%, and 86% to 92%, respectively, across the 10 experiment trials. Additionally, the system-maintained prompt response times ranging from 4 to 6 minutes, ensuring timely issuance of flood warnings. These results underscore the effectiveness of integrating Internet of Things (IoT) technology with intelligent techniques for improving early flood warning systems in coastal areas. By leveraging advanced sensor technology and data analytics methods, the monitoring system can proactively detect potential flood risks, provide accurate alerts, and facilitate timely response actions to mitigate flood-related risks. The findings highlight the importance of investing in innovative solutions that enhance disaster preparedness and response capabilities in vulnerable coastal regions. © 2024 ieee.

关键词： Internet of things

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Text Analysis and Recognition of Emotional Content Using Deep Learning Methods and BERT 23

Text Analysis and Recognition of Emotional Content Using Dee...

引用

23rd ieee/ACIS international conference on computer and Information science, ICIS 2023

作者： Andrikakis, Efthymios Perikos, Isidoros Paraskevas, Michael Hatzilygeroudis, Ioannis University of Patras Department of Computer Engineering & Informatics Patras Greece University of Patras Computer Technology Institute and Press Diophantus Department of Computer Engineering & Informatics Patras Greece Department of Electrical and Computer Engineering University of Peloponnese Computer Technology Institute and Press Diophantus Patras Greece

ISBN: (纸本)9798350345841

Recognizing the emotional content of Natural Language sentences can improve the way humans communicate with a computer system by enabling them to recognize and imitate emotional expressions. In this paper, deep learning, deep neural networks as well as Transformers were examined. Specifically, we designed and developed deep learning methods and BERT-based implementations for recognizing emotional content in user-generated data. Extensive experiments were conducted using these models on a variety of textual data and all the designed methods were evaluated. The results of the study show that BERT achieved the best overall performance, getting an F1-score of 0.86 on the Twitter Data dataset. Also, the Bi-LSTM with Attention Mechanism and Bi-LSTM using Word2vec performed quite well, achieving F1-scores of 0.83 and 0.82, respectively. © 2023 ieee.

关键词： Deep neural networks

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Electromagnetic Compatibility Design of Reinforced LCD

Electromagnetic Compatibility Design of Reinforced LCD

引用

2023 international conference on computer science and automation Technology, CSAT 2023

作者： Liu, Chang Jiangsu Automation Research Institute Jiangsu Lianyungang China

ISBN: (纸本)9798350371437

As the display terminal of military electronic *** liquid crystal display is one of the most direct,main and important key equipment for military personnel to obtain information. In the face of the most complex and severe command and control cabin environment of aircraft,combat vehicles and ships,reinforced liquid crystal display is interfered by and against other equipment all the time. Sudden equipment restart,flash screen,flower screen and other failures,seriously affect the normal operation of equipment,further affect the battlefield judgment of military personnel. This paper summarizes the main functions and working principles of the reinforced LCD,and puts forward the design scheme for the electromagnetic compatibility problems of the reinforced LCD. It is necessary to consider the electromagnetic compatibility at the beginning of the design,reduce the interference and interference risk of the equipment from the source side,and rationally lay out the equipment inside to achieve the ideal electromagnetic compatibility effect.. © 2023 ieee.

关键词： Liquid crystal displays

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Number Plate Recognition Using OpenCV 6

Number Plate Recognition Using OpenCV

引用

6th ieee international conference on Emerging Smart Computing and Informatics, ESCI 2024

作者： Roopa Chandrika, R. Vanitha, K. Thahaseen, Aafiya Chandramma, R. Neerugatti, Vikram Mahesh, T.R. Faculty of Engineering Department of Computer Science and Engineering Coimbatore India Al-Ameen Engineering College Department of Computer Science and Engineering Erode India Bangalore India Faculty of Engineering and Technology Department of Computer Science and Engineering Bangalore India

ISBN: (纸本)9798350306613

The advancement of automated number plate recognition (ANPR) systems has garnered noteworthy attention in recent times owing to their diverse applications across multiple domains, including traffic management, parking management, and law enforcement. This paper presents an innovative ANPR method using OpenCV, an open-source computer vision library. Developing ANPR systems is a great fit for OpenCV since it offers a flexible platform for image processing and computer vision tasks. The suggested method effectively detects and recognizes number plates from images and video streams by utilizing OpenCV's capabilities for feature extraction, image preprocessing, and machine learning. Character segmentation, optical character recognitlon (OCR), and licence plate localization are important stages in the process. The ANPR system's accuracy and effectiveness are increased by using these strategies. A variety of real-world datasets, including different lighting conditions, camera angles, and vehicle types, are used in extensive experiments to assess the system's performance. The outcomes show how well the OpenCV-based ANPR system performs in tasks requiring license plate recognition, attaining high accuracy and resilience. Additionally, covered in the paper are possible uses for the ANPR system in security systems, vehicle tracking, and traffic monitoring. To make sure the system is workable in a variety of situations, scalability and real-time implementation are also taken into account. © 2024 ieee.

关键词： machine learning number plate OpenCV recognition

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Advanced Data Segmentation and Encryption Approach using Fog Computing

Advanced Data Segmentation and Encryption Approach using Fog...

引用

2024 ieee international conference on automation and Computation, AUTOCOM 2024

作者： Singh, Kamred Udham Varshney, Neeraj Kumar, Pushpendra Sharma, Pradeep Kumar Mishra, Umang Deep Singh, Teekam Graphic Era Hill University School of Computing Dehradun India Gla University Department of Computer Engineering & Applications UP Mathura India Scanno System Greater Noida India Hcl Technology UP India Unique Institute of Management & Technology Muradnagar India Graphic Era Deemed to Be University Department of Computer Science and Engineering Dehradun India

ISBN: (纸本)9798350382723

Data security in conventional applications was only available at the application layer. Within the scope of the intended research, the safety of the merchandise is ensured. The deficiencies that are present in the security systems that are already in place have led to the realisation that a new security system is required. Considering that authentication is not present, the likelihood of decryption should be reduced. Establishing a decentralised security system is essential in order to protect against threats coming from a variety of digital networks. The new encryption standard is said to improve multilayer security, according to the claims. The material is split into two halves using this method, which also provides a reliable transmission mechanism. Because of the technology, hackers are unable to create vulnerabilities in the security system. There was a need for security in both the cloud and the edge environment in order to prevent intruders. Increasing the reliability and security of data transmission over a variety of networks was the motivation for the development of the two fish approach. Because of its security mechanism, it has been able to survive assaults from crackers and hackers. The paper that is being presented advises doing research on the safety of edge transmissions that are based on slicing. In order to prevent attackers from launching attacks from several networks, it is necessary to establish decentralised security. Layered security will help increase encryption standards, which is a significant benefit. Over the course of various investigations, computer security edge generators have been the focus of attention. Quite a few of them have already been extensively discussed. For the purpose of developing a reliable method of transmission, the proposed research splits the data into two parts, each of which is further encrypted at a different level. As a result of the development of multilayer encryption, the reliability and safety of data transm

关键词： Fish

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Revised ieee 802.11 MAC protocol for an Energy Efficient and Optimized Wireless Communication in Wireless Sensor Networks

Revised IEEE 802.11 MAC protocol for an Energy Efficient and...

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2024 ieee international conference on Emerging Technologies in computer science for Interdisciplinary Applications, ICETCS 2024

作者： Ramesh, Sreyas Sukanth, B.N. Jaswanth, Sathyavarapu Sri Rajesh, M. Sreevidya, B. Amrita School of Computing Department of Computer Science and Engineering Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798350372502

In the world of wireless communication, the Medium Access Control (MAC) protocol sports a pivotal task in managing access to the shared communication medium. This project proposes a change to the existing ieee 802.11 MAC protocol by introducing a modification in the sensing process. The conventional algorithm incorporates Short Inter-Frame Space (SIFS), DIFS (Distributed Inter-Frame Space) and backoff periods to regulate channel access. The proposed modification seeks to experiment the protocol by eliminating SIFS, thereby focusing solely on backoff and DIFS. This will reduce the delay each node waits before transmitting the packet. Eventually the reduction in wait time, reduces the energy consumed thus optimized the energy usage of nodes. To evaluate the efficacy of the modified protocol, a wireless network simulation is conducted in NS2. The simulation provides insights into the behavior of the network under the altered MAC protocol, shedding light on its performance and potential advantages. © 2024 ieee.

关键词： Sensor nodes

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