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2023 IEEE East-West design and Test Symposium, EWdTS 2023

作者： Bayraktar, rabia Yetkin, Ahmet Emin Erdem, Merve Elmas Software Delivery Dc Huawei Turkiye R&d Center Istanbul Turkey Service Application Dc Huawei Turkiye R&d Center Istanbul Turkey

ISBN: (纸本)9798350314847

In this study, various experiments were carried out for fire and smoke detection by using YOLOv5 and YOLOv7 pre-trained weights. As a result of the experiments, the performances of the models were evaluated separately and compared with each other. A total of 7 weights, including small, medium and large, were used for pre-trained models. In the experiments with YOLOv5, the model with the best mAP.5 score was yolov5m with 0.79, while the model with the best mAP.5 score in the YOLOv7 models was yolov7 with 0.78. Since the YOLOv7 model performed worse than expected, a hyper-parameter search was performed for yolov7 using Genetic Algorithm (GA). After hyper-parameter search with yolov7, the precision and mAP.5 value of the model increased by 0.01, while the recall value increased by 0.02. It has been observed that tuned hyper-parameters strong claim the default hyper-parameters for fire-smoke detection. © 2023 IEEE.

关键词： Genetic algorithms

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Forecasting of Low Visibility Using Weather and Air Quality data for Safe and Smooth Transportation Operation 23

Forecasting of Low Visibility Using Weather and Air Quality ...

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23rd IEEE International Conference on Machine Learning and Applications, ICMLA 2024

作者： Paul, Topon reddy, Vidhisha Ayyagari, Sai Prem Kumar Shingaki, ryusei Nishino, Kaneharu Corporate R&d Center Toshiba Corporation System Ai Laboratory Kanagawa212-8582 Japan Pvt. Ltd. R&d Division KA Bangalore560034 India

ISBN: (纸本)9798350374889

Low visibility condition affects the safety and operation of road, sea, and air traffic, which causes disruption in transportation and sometimes leads to serious accidents. Therefore, forecasting of low visibility accurately is of utmost importance for transportation agencies and aviation authorities. The conventional approach of visibility forecasting using time-series weather data cannot forecast low visibility with high accuracy due to imbalanced and clipped visibility data used to build a forecasting model. To address this issue, we propose a new approach that combines forecasting and classification methods with discrete and kernel density estimation (KdE)-based weights to build forecasting models for multi-step ahead forecasting. We show the effectiveness of our proposed approach by performing experiments with four publicly available visibility datasets of weather and air quality data from the USA and Japan and evaluating in terms of forecasting errors and accuracy of forecasting of low visibility. Experimental results suggest that our proposed approach can improve rMSE and MAE in the low visibility range by respectively 29-54 % and 40-59 % and F-score of forecasting of low and high visibility by 0.20-0.26 on the average over existing technologies for 3-24 hour ahead forecasting, which implies that it is well-suited for forecasting of low visibility. © 2024 IEEE.

关键词： Wind forecasting

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Homomorphic Encryption Algorithm Based on Privacy-Preserving Outsourcing Association rule Mining

Homomorphic Encryption Algorithm Based on Privacy-Preserving...

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2023 International Conference on Algorithms, High Performance Computing, and Artificial Intelligence, AHPCAI 2023

作者： Wang, Zhaohui Yang, Liye Yao, Huiqing Zhai, Wanbo State R&D Center of Control System and Information Security Technologies for Energy Industry Beijing102200 China

ISBN: (纸本)9781510671881

Based on the classical Paillier homomorphic encryption algorithm and the ciphertext multiplication operation, it has the computing ability to deal with complex ciphertexts. It has also improved the efficiency of the algorithm based on ensuring support and confidence. By adding false data to the original plaintext data, the fuzzy degree of the original database is improved so that the ability of the model to deal with analysis attacks is effectively strengthened. MrEclat algorithm is adopted to mine association rules, which improves the efficiency of system mining and increases the accuracy and reliability of the results. The experimental results have shown that although the proposed algorithm has obvious advantages in privacy protection, it can be used to protect user data in cloud computing. © 2023 SPIE. All rights reserved.

关键词： Association rules

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Fraud detection using recurrent Neural Networks for digital Wallet Security 8

Fraud Detection using Recurrent Neural Networks for Digital ...

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8th International Conference on Computer Science and Engineering, UBMK 2023

作者： Iscan, Can Akbulut, Fatma Patlar R&d Center of Formica Ai Istanbul Turkey Istanbul Kültür University Department of Software Engineering Istanbul Turkey

ISBN: (纸本)9798350340815

E-wallet use has exploded, bringing in a new era of convenient and secure digital transactions;nevertheless, it has also led to a surge in fraudulent transactions. Using recurrent Neural Networks (rNNs), this research provides an experimental approach for detecting fraudulent use of e-wallets. To detect fraudulent behaviors in e-wallet transactions, we have developed Long-Short Term Memory (LSTM) architecture to make use of the sequential nature of transaction data. Using the United Payment dataset for training and testing, the proposed model successfully classifies fraudulent transactions while reducing the number of false positives. The findings underline the utility of the rNN-based strategy in strengthening the safety and reliability of e-wallet systems, lead off for more secure online financial dealings. This study adds to the growing body of literature on detecting fraudulent use of electronic wallets by developing a model that makes use of deep learning to enhance fraud detection effectiveness in the ever-changing domain of digital payments. © 2023 IEEE.

关键词： Long short-term memory

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A Malicious UrL detection Method Based on Bert-CNN 5

A Malicious URL Detection Method Based on Bert-CNN

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5th International Conference on Electronic Engineering and Informatics, ICEEI 2023

作者： Jin, Lixiao Huang, ruiyang Zhang, Xuanming Wan, Fangjie School of Cyber Science and Engineering Zhengzhou University Zhengzhou China National Digital Switching System Engineering & Technological R&d Center Zhengzhou China

ISBN: (纸本)9781643685021

UrL detection is an important task in the field of Internet security. To address the problems of low model accuracy and weak generalization ability to exist machine-learning-based malicious UrL detection methods, a UrL classification method based on a combination of the BErT model and the convolutional neural network (CNN) is proposed. First, a regular expression-based approach is used to achieve pre-processing of UrL data;second, a malicious UrL classification method combining BErT pre-training model and CNN is designed to effectively handle contextual relevance and local features in malicious UrL detection tasks;finally, experiments are conducted on a dataset of more than 30,000 UrLs to evaluate its performance and efficiency. The experimental results show that the Bert-CNN model outperforms other deep-learning-based and traditional methods in terms of accuracy, and our model achieves a 99.5% accuracy on the test dataset. © 2024 The Authors.

关键词： Classification (of information)

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realization of Flexible Scaling Technology for Computing Tasks in Power Automation system Based on Container 12

Realization of Flexible Scaling Technology for Computing Tas...

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12th International Conference of Information and Communication Technology, ICTech 2023

作者： Gao, Yuan Gu, Wenjie Chen, Boyu Fu, Peng Liu, Wei Nari Group Corporation State Grid Electric Power Research Institute System Platform R&d Center Nanjing China

ISBN: (纸本)9798350332919

With the popularization and construction of the new power system, the amount of data to be processed by the power automation system will increase explosively, and the original mode of main and standby machines will no longer meet the demand. At present, some dynamic scheduling algorithms studied in the industry do not consider the security, reliability and real-time requirements of power system. By studying the characteristics of some existing scheduling algorithms and the implementation principle of container technology, this paper proposes a container based elastic scaling technology for computing tasks, which can dynamically adjust the resources of each application instance without affecting the resource use of other application instances. At the same time, it supports highly reliable mutual redundancy and real-time switching, and supports the real-time elastic expansion of resources after adding new nodes. Finally, through the test and verification, the technology can support the dynamic allocation and distributed operation of power application resources, switch the active and standby computers in real time in case of failure, support the elastic expansion of resources, and improve the reliability and processing capacity of the upper application. © 2023 IEEE.

关键词： redundancy

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design and development of Intelligent Lighting Control system for Urban Tunnel

Design and Development of Intelligent Lighting Control Syste...

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IEEE Conference on Energy Internet and Energy system Integration (EI2)

作者： Bao ding R&D Center of System Software Jiangsu Jinzhi Technology Co. Ltd. Nanjing PRC

ISBN: (数字)9798331523527

ISBN: (纸本)9798331523534

The realization of the national strategic goal of carbon peak and carbon neutral "3060" relies on the adoption of advanced technology in various industries to save energy and reduce carbon emissions. At present, the urban tunnel lighting system is characterized by inefficiency and inappropriate light distribution, which is not well adapted to the needs of safe driving and energy saving and carbon reduction. An intelligent tunnel lighting control system is presented in this paper with a rule-based reasoning engine that matches and processes collected information based on the user's predefined set of rules to generate corresponding lighting control commands. With such an intelligent light control system, urban tunnel can provides drivers with a more comfortable and safer driving environment, and saves the operating costs of energy, the workload of maintenance personnel can also be dramatically reduced meanwhile.

关键词： Power demand Energy conservation Lighting Process control system integration Control systems Lighting control Cognition Safety Engines

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research on Lightweight Encryption Methods for In-Vehicle Ethernet in Intelligent Automobiles 6

Research on Lightweight Encryption Methods for In-Vehicle Et...

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6th International Conference on Internet of Things, Automation and Artificial Intelligence, IoTAAI 2024

作者： dong, Bin Zhao, Xi Fan, Zhirong Cai, Yanbo Wuhan University of Technology School of Automation Hubei Wuhan China R&d Institute Dongfeng Motor Corporation Software Engineering Research Center Hubei Wuhan China R&d Institute Dongfeng Motor Corporation Department of Digitalization and Capability Assurance Hubei Wuhan China

ISBN: (纸本)9798350386974

In recent years, the trends of electrification, intelligence, connectivity, and sharing have led to increasingly complex automotive electronic and electrical systems. Against this backdrop, innovating and expanding the automotive electronic and electrical architecture has become particularly crucial. Service-Oriented Architecture (SOA), AUTOSAr standards, and in-vehicle Ethernet technology have emerged as key technologies and trends driving this development. SOME/IP (Scalable Service-Oriented Middleware over IP) is an important protocol for implementing SOA architecture, inheriting characteristics such as high speed, real-time performance, high fault tolerance, and flexibility from Ethernet. The main function of SOME/IP is to transmit messages from the sender to the receiver during communication. However, the lack of considerations for security verification, integrity, and confidentiality increases uncertainty and risks. Therefore, this paper designs and implements an Ethernet secure communication solution from the perspective of SOME/IP protocol security. This solution innovatively encrypts and decrypts service interface parameters at the application layer, enhancing the security of the in-vehicle network. © 2024 IEEE.

关键词： automotive Ethernet encryption security service interfaces SOME/IP

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design and Implementation of a dual Antenna for Cognitive radio systems

Design and Implementation of a Dual Antenna for Cognitive Ra...

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2024 International Conference on Advanced Technologies for Communications, ATC 2024

作者： Tu, duong Thi Thanh Van Sang, Nguyen Nga, Nguyen Thi Thu Posts and Telecommunications Institute of Technology Faculty of Telecommucication 1 Hanoi Viet Nam Electronic System R&d Center Viettel Aerospace Institute Hanoi Viet Nam

ISBN: (纸本)9798350353983

The cognitive radio (Cr) system optimizes spectrum usage and enhances transmission efficiency by automatically adjusting parameters to adapt to changing environments. Antennas in cognitive radio systems are crucial because they must be reconfigurable to operate across different frequency bands, optimizing spectrum usage and improving transmission performance. This paper proposes a dual antenna for cognitive radio systems, consisting of a UWB (Ultra-Wideband) antenna and a frequency-reconfigurable narrowband antenna. The UWB antenna is designed to cover an ultra-wideband range from 2.14 to 14.9 GHz for spectrum sensing, and the frequency-reconfigurable narrowband antenna is designed for communication. A set of 6 PIN diodes is used to change the electrical length, allowing the antenna to switch frequencies among 2.42, 4.95, 5.13, 5.21, 5.38, 5.5, 5.7, and 5.95 GHz, corresponding to the frequency bands of WiFi, WiMAX, and WLAN. Its compact size of 30×70×1.6 mm3 makes it easy and convenient to install in terminal devices. © 2024 IEEE.

关键词： PIN diodes

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A Line Complex-Based Evolutionary Algorithm for Many-Objective Optimization

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IEEE/CAA Journal of Automatica Sinica 2023年第5期10卷 1150-1167页

作者： Liang Zhang Qi Kang Qi deng Luyuan Xu Qidi Wu the Department of Control Science and Engineering Tongji UniversityShanghai 201804 the Jiangsu Province Support Software Engineering R&D Center for Modern Information Technology Application in Enterprise Suzhou 215104China the Shanghai Institute of Intelligent Science and Technology Tongji UniversityShanghai 200092China

In solving many-objective optimization problems(MaO Ps),existing nondominated sorting-based multi-objective evolutionary algorithms suffer from the fast loss of selection *** candidate solutions become nondominated during the evolutionary process,thus leading to the failure of producing offspring toward Pareto-optimal front with *** we find a more effective way to select nondominated solutions and resolve this issue?To answer this critical question,this work proposes to evolve solutions through line complex rather than solution points in Euclidean ***,Plücker coordinates are used to project solution points to line complex composed of position vectors and momentum *** position vectors of the solution points,momentum vectors are used to extend the comparability of nondominated solutions and enhance selection ***,a new distance function designed for high-dimensional space is proposed to replace Euclidean distance as a more effective distancebased *** on them,a novel many-objective evolutionary algorithm(MaOEA)is proposed by integrating a line complex-based environmental selection strategy into the NSGAⅢ*** proposed algorithm is compared with the state of the art on widely used benchmark problems with up to 15 *** results demonstrate its superior competitiveness in solving MaOPs.

关键词： Environmental selection line complex many-objective optimization problems(MaOPs) Plücker coordinate

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