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检索条件"任意字段=Proceedings of the 9th Knowledge-Based Software Engineering Conference"

共 20365 条记录，以下是931-940 订阅

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Enhancing Road Safety: Analyzing Driver Behavior through AI-Driven Monitoring Techniques 9

Enhancing Road Safety: Analyzing Driver Behavior Through AI-...

引用

9th International conference on Communication and Electronics Systems, ICCES 2024

作者： Kumar, S. Senthil Vignesh, K.R.N. Bhuvanesh, V. Velammal College of Engineering and Technology Departmet of Cse Madurai India

ISBN: (纸本)9798350377972

this study aims to address the significant threat of safe driving in terms of the characteristics of drivers, including anger, attention, fatigue, and drowsiness. In an increasingly intelligent society, monitoring drivers effectively and determining unusual behavior is very important for the prevention of car accidents. Despite the current emphasis on various means of assessing driver behavior, much remains to be understood about the interplay between driver health, vehicle conditions, and unusual driving habits. the work will be presenting a comprehensive classification of behavior detection methods, evaluating their effectiveness, and indicating critical open issues in the field. the study involves modeling of driving behavior and anomaly detection using AI -enhanced image processing, signal processing techniques, and traditional algorithm-based methods. Contemporary methods have been classified into mathematics, machine learning, and deep learning techniques, and there is a comprehensive review of the state-of-the-art. the talk focuses on important findings and issues and promotes further research to establish innovative approaches that enhance highway safety through better surveillance systems. © 2024 IEEE.

关键词： Deep learning

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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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An Iterative PRISMA Review of Deep Learning, Sparse Bayesian, and Compressed Sensing Methods for Channel Estimation in Modern Wireless Systems 9

An Iterative PRISMA Review of Deep Learning, Sparse Bayesian...

引用

9th International conference on Communication and Electronics Systems, ICCES 2024

作者： Niranjane, Vaishali Khobragade, Atish Yeswantrao Chavan College of Engineering Dept. of Electronics and Telecommunication Nagpur India Yeswantrao Chavan College of Engineering Dept. of Electroncs Engineering Nagpur India

ISBN: (纸本)9798350377972

Accurate channel estimation is basic to efficient functioning of modern wireless communication systems, particularly in the case of 5G, mmWave, MIMO, and vehicular networks. However, most conventional techniques are usually affected by the complexity of such methods, pilot overhead, and limitations in high mobility or dynamic environments. On the other hand, in spite of a large number of proposed methods, there is a gap in covering a comprehensive and systematic survey to compare several techniques under various performance metrics. Most of the existing review articles focus on very limited sets of models and do not critically compare or contrast models based on their efficiency, accuracy, and computational complexity. To fill these gaps, this paper bases its review on state-of-the-art channel estimation models PRISMA, and included methods span traditional signal processing approaches such as LMMSE, adaptive frequency-domain estimators, and compressed sensing-based techniques, and prominent approaches based on deep learning frameworks including CNN and hybrid estimators. With the PRISMA methodology, this review provides a comprehensive analysis of the methods involved in various applications, such as MIMO, mmWave, RIS-aided systems, and underwater communications. the proposed review, on giving a number of models, discusses the pros and cons of those models. Models based on deep learning bring in an improved accuracy along with the potential of improved computational performance in estimation, whereas sparse and hybrid models have shown impressive performances in heavily resource-constrained environments such as underwater acoustic and high-mobility vehicular communications. this work will prove to be very informative for the researcher and engineer, both in showing optimal models for various applications of communication and in laying down the basis for future integration of GAN and advanced machine-learning methods into channel estimation. the outcomes derived from

关键词： Frequency domain analysis

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Optimized and Improved YOLOv8 Dense Pedestrian Detection Algorithm 9

Optimized and Improved YOLOv8 Dense Pedestrian Detection Alg...

引用

9th International conference on Communication, Image and Signal Processing, CCISP 2024

作者： Mao, Jingkun Wang, Haoyu Li, Deheng Electrical Engineering and automation Tianjin University of Technology Tianjing China Futu-re co. Nagoya Japan

ISBN: (纸本)9798350356656

In large, densely populated scenarios, abnormal human gatherings are common, and due to the presence of many small-scale occluded pedestrians, missed detections are likely. To tackle this challenge, an improved multi-scale occluded pedestrian detection algorithm based on YOLOv8n is proposed. Firstly, to address the large variation in the scale of occluded pedestrians, the algorithm introduces the lightweight network RepViT to enhance multi-scale features. Next, the GAM attention module is added to improve the representation of multi-scale images and positional information. Finally, to improve the recognition precision for minor targets that are often missed, a small object detection head is introduced, using Inner-WIoUv3 as the loss function to enhance the model's convergence capability. Experimental results show that the improved model achieves enhancements on the public dense pedestrian datasets WiderPerson and CrowdHuman, with mAP50 increasing by 1.8% and 5.1%, and recall rates increasing by 2.2% and 5.5%, respectively. the improved algorithm shows a higher level of detection precision when compared with the baseline model. © 2024 IEEE.

关键词： Object detection

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Construction Practice of Laboratory Open Management System based on Safety Concept 9

Construction Practice of Laboratory Open Management System B...

引用

9th International conference on Information Management, ICIM 2023

作者： Xiao, Jun Li, Zhangjie Luo, Xu Wuhan University of Technology School of Mechanical and Electrical Engineering Wuhan China Wuhan University of Technology Mechanical and Electrical Engineering Experimental Center Wuhan China Wuhan University of Technology State Owned Assets and Laboratory Management Division Wuhan China

ISBN: (纸本)9798350336382

University laboratory is an important place for training higher talents. the scientific and rational utilization of laboratory resources is related to the quality and quantity of talent training. Scientific co-ordination of the organization and opening of laboratories is the only way for laboratory construction, and also a necessary measure. It is the basic premise to improve the openness of the laboratory and ensure the safe operation of the laboratory. this paper discusses the current situation of laboratory safety management, puts forward specific strategy research for laboratory opening, and expounds the laboratory opening system based on security premise. this paper designs and develops a safety management information system of university open laboratory based on Web and database, which is helpful to strengthen the consciousness of experiment safety and safe operation habits of teachers and students, and provides reference for the safe opening of university laboratories. © 2023 IEEE.

关键词： Laboratories

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Swarm UAV scene simulation based on differential flatness and swarm intelligence 9

Swarm UAV scene simulation based on differential flatness an...

引用

9th International conference on Electromechanical Control Technology and Transportation, ICECTT 2024

作者： Zhou, Qingchen Shen, Xianzhao Xu, Mingming East China Research Institute of Electronic Engineering Hefei230088 China

ISBN: (纸本)9781510682399

To better support the research of counter UAV systems on swarm UAV targets and meet the needs of dynamic deduction and detection modeling of swarm UAVs, a swarm UAV scene simulation method based on differential flatness and swarm intelligence is proposed. based on the trajectory generation model of cluster algorithm, dynamic algorithm and spatial division technology, this method implements group strategies such as exclusion, attraction and velocity alignment and ensures that the trajectory generation meets point-to-point navigation while having advanced group behavior. through simulation experiments, the superiority of this technology in generating complex swarm UAV scenarios can be proved, which can effectively support the dynamic deduction requirements of counter UAV systems for swarm UAV targets. © 2024 SPIE.

关键词： Swarm intelligence

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A Random Forest based Prediction Method for Moisture Content in Wood Materials 9

A Random Forest Based Prediction Method for Moisture Content...

引用

9th International conference on Cloud Computing and Big Data Analytics, ICCCBDA 2024

作者： Xu, Yan Ye, Qing Song, Wei School of Software & Internet of Things Engineering Jiangxi University of Finance and Economics Nanchang China School of Information Management Dalarna University Dalarna Sweden

ISBN: (纸本)9798350373554

Missing values is a crucial problem in the area of big data analysis, which hinders data integrity. Various regression methods have been employed for estimating missing values, but they exhibit significant prediction errors. To ensure the integrity of data collected from a wood sensor monitoring system and address the issue of data loss and anomaly, we propose a missing value estimation method based on the random forest regression model. this study focuses on the environmental data, including temperature, relative humidity, and absolute humidity surrounding the wood subjects. We simulate a number of methods on the data for comparison purpose. the experiment results in terms of prediction performance indicate that the random forest regression model algorithm we developed for estimating moisture content's missing values yields favourable outcomes with consistently low estimation errors. © 2024 IEEE.

关键词： Moisture

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Mid-ship Section Optimization using Domain knowledge-based Multilevel Grouping and Cooperative Bayesian Optimization 34th

Mid-ship Section Optimization using Domain Knowledge-based M...

引用

34th International Ocean and Polar engineering conference, ISOPE 2024

作者： Jiang, Puyu Liu, Jun Cheng, Yuansheng School of Naval Architecture and Ocean Engineering Huazhong University of Science and Technology Hubei Wuhan China

ISBN: (纸本)9781880653784

this work combines structural mechanical prior knowledge with cooperative Bayesian optimization framework and proposes a domain knowledge-based multilevel grouping approach for mid-ship section optimization. Cooperative Bayesian optimization framework decomposes the original high-dimensional problem into a series of lowdimensional subproblems, which are then solved separately using Bayesian optimization. To further improve the efficiency, this work utilizes domain knowledge to group the design variables multiple times during the optimization process. the first level groups the panel thickness and stiffeners sizes separately. the second level groups the panel thickness and the attached stiffeners sizes as a subproblem. the third level groups the panel thickness that share common stiffeners sizes, along with the stiffeners sizes as a subproblem. the optimization order of subproblems (i.e., resource allocation strategy) is also determined based on domain knowledge in this work. In the first level, panel thickness, size of bulb flats, and size of T-sections are optimized sequentially. In the remaining levels, closer variables are prioritized for optimization based on their distances from the neutral axis. the effectiveness of the proposed method is validated through a case study of an oil tanker mid-ship section with 96 design variables and 1191 constraints using the Mars2000 software based on the Common Structural Rules (CSR). Computational results demonstrate that the optimized solution obtained by the proposed method achieved a reduction of 5.94% in mid-ship section area compared with the initial design scheme. the result obtained by the proposed method with less burden is better than that of the state-of-the-art method and classical metaheuristic algorithms. the domain knowledge-based multilevel grouping strategy effectively enhances the performance of cooperative Bayesian optimization framework. © 2024 by the International Society of Offshore and Polar Engineers (I

关键词： Arctic engineering

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Experimental investigation on oblique entry of trimaran cross deck structure 9th

Experimental investigation on oblique entry of trimaran cros...

引用

9th International conference on Marine Structures, MARSTRUCT 2023

作者： Tang, Shou-Qi Sun, Shi-Li Ren, Hui-Long Zhou, Xue-Qian China Ship Development and Design Center Wuhan China College of Shipbuilding Engineering of Harbin Engineering University Harbin China International Joint Laboratory of Naval Architecture and Offshore Technology between Harbin Engineering University and the University of Lisbon Harbin China

ISBN: (纸本)9781032506364

the slamming problem is common when a trimaran sails in rough sea conditions, especially for the cross deck structure, and the slamming with non-zero angles between the cross deck structure and the water surface will occur. In the present study, an experimental study of oblique entry of trimaran cross deck structure is carried out, and the relationship between angle, velocity and the slamming load are explored. the trimaran section is released from different heights with various angles above the water and falls into water. then experiment is also repeated for various falling heights. the relationships between the distribution of the slamming pressures with angle and the velocity are discussed, based on the results and analysis, some conclusions are drawn. © 2023 the Author(s).

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Evaluating Gamification Needs for software Developers: Study Case of UX in Project Management Tools 9

Evaluating Gamification Needs for Software Developers: Study...

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9th International conference on Information Management and Technology, ICIMTech 2024

作者： Riefard, Rifqi M Herumurti, Darlis Fabroyir, Hadziq Rusdianto, Denny Sagita Ma'rufah, Laila Kuswardayan, Imam Institut Teknologi Sepuluh Nopember Department of Informatics Surabaya Indonesia Interdiscpilinary School of Management Technology Institut Teknologi Sepuluh Nopember Surabaya Indonesia

this research discusses the importance of software developers9; role in software development, where an effective strategy is needed to increase performance and satisfaction with the results of their work. the solut... 详细信息

ISBN: (纸本)9798350390025

this research discusses the importance of software developers' role in software development, where an effective strategy is needed to increase performance and satisfaction with the results of their work. the solution that this research tries to offer is a gamification analysis using the Octalysis Gamification Framework to look at the influential factors that encourage software developers and increase their motivation. this research was carried out at the Directorate of Technology and Information Systems Development, Institute Technology of Sepuluh Nopember Surabaya (DPTSI ITS), with 27 respondents who worked as software Developers. this research divides the workers based on roles (Programmer, software Analyst, and Quality Assurance) and seniority level (Junior, Intermediate, and Senior), resulting in variations of Core Drive Influence using the Octalysis Framework. Apart from that, an analysis of 22 gamification features that could be implemented in gamified project management tools was also carried out, which resulted in 16 important features being available. In comparison, the remaining 6 features were optional. this insight displays understanding regarding motivational factors in software Development and guides the creation of a Gamified Project Management Tool. © 2024 IEEE.

关键词： software quality

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