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检索条件"任意字段=9th IEEE International Conference on Engineering of Complex Computer Systems"

共 16756 条记录，以下是51-60 订阅

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Integrating computer Vision in a CODESYS PLC to Enable Intelligent Object Identification 9

Integrating Computer Vision in a CODESYS PLC to Enable Intel...

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9th international conference on Mechatronics engineering (ICOM)

作者： Filimonov, Daniil Onabek, Abdirakhman Smolyarchuk, Kir Alizadeh, Tohid Nazarbayev Univ Robot Engn SEDS Astana Kazakhstan

ISBN: (纸本)9798350349795;9798350349788

this research investigates the synergy between computer vision and programmable logic controllers (PLCs) for enhancing material recycling efficiency. Focusing on aluminum can and glass bottle recycling, this study develops and simulates a user-centric vending machine system. the system employs a convolutional neural network (CNN) for accurate object recognition, integrated with a PLC-based control system via the OPC UA communication protocol. By incentivizing recycling through discount offers, the vending machine aims to promote sustainable waste management practices. Successful simulation demonstrates the feasibility of this approach, highlighting the potential for computer vision and PLC integration in the development of advanced recycling solutions.

关键词： Convolutional neural network computer vision Programmable logic controller Industrial automation OPC UA

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Cooperative Control of High-speed Train System Based on GA-PID Algorithm 9

Cooperative Control of High-speed Train System Based on GA-P...

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9th international conference on Information Science, computer Technology and Transportation, ISCTT 2024

作者： Zhao, Yanyuan Shi, Lei Liu, Yazhi Liang, Junyi School of Automation and Electrical Engineering Lanzhou Jiaotong University Lanzhou China Rail Transit Electrical Automation Engineering Laboratory of Gansu Province Lanzhou Jiaotong University Lanzhou China

ISBN: (纸本)9798350388435

Aiming at the problem that PID (proportional integral-differential) controller of high-speed train cannot adjust parameters adaptively during operation, a distributed cooperative control strategy of high-speed train based on GA (Genetic algorithm)-PID algorithm is proposed. Firstly, a multi-agent model of high-speed train is constructed by analyzing the force and considering the internal physical and information coupling of high-speed train. Secondly, the GA-PID controller is designed by using the speed and displacement information between trains. Finally, the actual parameters of high-speed trains are simulated. the results show that the algorithm proposed in this paper can make all trains track the target curve quickly and accurately, and keep the safe distance between adjacent trains, and has good adaptability to the complex operating environment of trains. ©2024 ieee.

关键词： Genetic algorithms

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Development of a Method for Automatic Extraction of Ontology Entity Names from Natural Language Texts 9

Development of a Method for Automatic Extraction of Ontology...

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9th international conference on computer Science and engineering, UBMK 2024

作者： Zhanna, Sadirmekova Daiyrbayeva, Elmira Indira, Karbozova Samat, Bekbolatov M. Kh. Dulaty Taraz Regional University Taraz Kazakhstan Inst. of Information and Computational Technologies The Committee of Science of the Ministry of Science and Higher Educ. of the Rep. of Kazakhstan Almaty Kazakhstan Satbayev University Almaty Kazakhstan International Taraz Innovation Institute named after Sh. Murtaza Taraz Kazakhstan

ISBN: (纸本)9798350365887

Domain ontologies play a crucial role in organizing, sharing, and reusing domain-specific knowledge within software systems. However, developing a software ontology is a time-consuming and complex process. To create such an ontology, a large number of relevant publications must be analyzed. this task of enriching the ontology with data from these sources can be streamlined and accelerated through the use of lexical and syntactic patterns derived from ontological design. this paper presents a method for the automated construction of ontologies within a scientific domain, leveraging a system of heterogeneous ontological design patterns (ODPs). this system includes ODPs tailored for ontology developers and automatically generated lexical and syntactic patterns, which can be used to enrich ontologies with information extracted from natural language texts. © 2024 ieee.

关键词： Domain Knowledge

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Improving Transient Stability in Power systems through Integration of Large-Scale Photovoltaic Power Plants 9

Improving Transient Stability in Power Systems Through Integ...

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9th international conference on Technology and Energy Management, ICTEM 2024

作者： Abbaspour, Hadi Yari, Siavash Khoshkhoo, Hamid Kamwa, Innocent Sahand University of Technology Sahand New Town Faculty of Electrical Engineering Tabriz Iran Laval University Department of Electrical and Computer Engineering Quebec Canada

ISBN: (纸本)9798350329797

this paper investigates the impact of integrating large-scale photovoltaic (PV) power plants (LSPVPPs) on the transient stability of power systems. As renewable energy sources, including PV and wind generation systems, become more prevalent, power systems are experiencing significant operational and control changes. the decrease in system inertia in new power grids with high renewable energy penetration raises concerns regarding transient stability during major disturbances. Using simulation studies on the ieee 39-Bus test system, this paper focuses on assessing the effectiveness of the WECC-large-scale photovoltaic power plant in improving transient stability. Specifically, it analyzes the ability of inverter-based generators to adjust their power output and examines the influence of this capability on transient stability. Additionally, the fault ride-through capability of the WECCLSPVPP and its impact on maintaining the power supply after a short circuit event is assessed. © 2024 ieee.

关键词： Transient stability

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A Deep Neural Network for Accurate Localization in Wireless Networks 25

A Deep Neural Network for Accurate Localization in Wireless ...

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25th ieee international conferences on High Performance Computing and Communications, 9th international conference on Data Science and systems, 21st ieee international conference on Smart City and 9th ieee international conference on Dependability in Sensor, Cloud and Big Data systems and Applications, HPCC/DSS/SmartCity/DependSys 2023

作者： Che, Congcong Jing, Chen Liu, Ruyang Kang, Yuanlei Ma, Chao Crrc Qingdao Sifang Rolling Stock Co. Ltd Qingdao China North China Institute of Computer Systems Engineering China China

ISBN: (纸本)9798350330014

Target localization is of great significance in wireless sensor networks. However, due to the complex factors of indoor environment, accurate and reliable localization remains challenging. In this paper, a new deep learning framework called Accurate Localization Timely Network (ALTNet) is proposed to solve target localization tasks. Wherein, ALTNet is an end-to-end architecture based on the properties of trajectory data. Two components are used to process fingerprints information and model location features, respectively. ALTNet dynamically captures the location features from reduced fingerprints. Experiments and analyses on datasets show that the proposed ALTNet model outperforms other existing classical models and possesses higher localization accuracy. © 2023 ieee.

关键词： Wireless sensor networks

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Integrating RFID and Sensor Technology for Enhanced Urban Vehicle Monitoring: A Path to Smarter, Safer Cities 9

Integrating RFID and Sensor Technology for Enhanced Urban Ve...

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9th ieee international conference for Convergence in Technology, I2CT 2024

作者： Salunke, Girish Salunke, Yash Admane, Tanisha University of Florida Department of Computer Science United States Kj Somaiya College of Engineering Department of Computer Engineering Mumbai India Kj Somaiya College of Engineering Department of Information Technology Mumbai India

ISBN: (纸本)9798350394474

this study introduces a vehicle monitoring system that synergizes radio-frequency identification (RFID) technology with a Raspberry Pi-driven sensor network to elevate road safety and promotes environmental sustainability in urban areas. the system enables the real-time tracking of vehicles, the detection of over-speeding, and the in-depth analysis of vehicular performance metrics. By integrating RFID tags for precise identification and leveraging onboard diagnostic data, the system offers a proactive solution to traffic violations and vehicle maintenance issues. this paper outlines the system's architecture, detailing the hardware and software components, and explores its practical applications. It critically examines the ethical and privacy issues inherent in such monitoring technologies and considers the human factors critical to user acceptance. Ultimately, this research contributes to the advancement of intelligent transportation systems and supports the development goals of smart cities through improved safety measures and environmental monitoring. © 2024 ieee.

关键词： Sensor networks

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E-commerce Trend Prediction Software 9

E-commerce Trend Prediction Software

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9th ieee international conference for Convergence in Technology, I2CT 2024

作者： Santhosh Krishna, B.V. Rajalakshmi, B. Dsouza, Immanuel Dsouza, Jeremie Jeferson, X. Ashok, K. New Horizon College of Engineering Computer Science And Engineering Karnataka Bangalore India

ISBN: (纸本)9798350394474

In the modern-era of technology, there is an immense boom of e-commerce business and e-commerce powered SAAS. It includes building robust services and good exchange with the internet. therefore, the Recommendation systems is one method to reorganize and restructure the overload of information on basis filtering and bifurcation methods. this article will illustrate a comprehensive Literature Survey regarding the published papers in the field of e-commerce recommendation systems, which will help the researchers and Software Engineers to do future work. We provided the varieties of traditional techniques followed to build such recommending systems and the challenges faced during creating such recommendation systems. In this review we analyzed various different recommendation algorithms and a potentially improved model is proposed. Building the Recommendation system is a challenging task, as it involves the problems of data sparsity and scalability requirements. Recommendation systems are crucial for E-commerce business, it provides personalized recommendations to the customer. Software Engineers and researchers can play a vital role in building and improving such recommendation systems by understanding its traditional techniques, challenges and future directions. © 2024 ieee.

关键词： Recommender systems

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Indoor Localization with GravNetConv and Dynamic Graphs 9

Indoor Localization with GravNetConv and Dynamic Graphs

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9th international conference on computer Science and engineering, UBMK 2024

作者： Bayraktar, Mert Özcan, Alper Ulusar, Umit Deniz Akdeniz University Computer Engineering Department Antalya Turkey

ISBN: (纸本)9798350365887

Traditional indoor localization methods often rely on Received Signal Strength Indicator (RSSI) measurements from Wi-Fi access points (APs) and utilize techniques like fingerprinting. However, these methods face challenges due to signal variability and environmental factors, leading to limited accuracy. To address these issues, we propose a novel approach leveraging Graph Neural Networks (GNNs) with a dynamic graph generation process using GravNetConv. this method processes input data in a learned lower-dimensional space, using a Gaussian function to emphasize proximate points, thereby capturing complex spatial relationships and improving localization accuracy through more effective local neighbor capture and fine-grained detail recognition. Our experiments show that the GravNetConv-based method outperforms conventional indoor localization approaches, particularly on larger, more diverse datasets, leading to more reliable and precise positioning in dynamic environments. © 2024 ieee.

关键词： Graph neural networks

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Performance Analysis of Distributed Database System in Cloud Computing Environment 9

Performance Analysis of Distributed Database System in Cloud...

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9th ieee international conference on Computing, engineering and Design, ICCED 2023

作者： Prasetio, Nicholas Ferdinand, Daniel Wijaya, Brandon Christopher Anggreainy, Maria Susan Kumiawan, Afdhal Bina Nusantara University School of Computer Science Computer Science Department Jakarta11480 Indonesia Bina Nusantara University Computer Science Computer Science Department Jakarta11480 Indonesia Bina Nusantara University BINUS Graduate Program School of Computer Science Jakarta11530 Indonesia

ISBN: (纸本)9798350370126

this research discusses the performance evaluation of distributed database systems in a cloud computing environment Cloud computing environments allow data and applications to be stored and deployed on infrastructure located in different parts of the world. However, the use of distributed database systems in cloud computing environments can cause performance issues, such as complex data access and factors such as network latency, security, and scalability that affect system performance. therefore, performance evaluation of distributed database systems is necessary to ensure effective data management across the infrastructure. the purpose of this research is to measure and understand the performance of distributed database systems in a cloud computing environment. this is important because proper performance evaluation is needed to ensure distributed database systems can operate effectively and efficiently in such environments. this research will analyze the features of distributed database systems, factors that affect performance, how to measure and compare system performance, and how to improve system performance. Analyzing the performance of distributed database systems in a cloud computing environment can help users choose the most appropriate and efficient cloud computing platform for their business needs and improve operational efficiency. © 2023 ieee.

关键词： Distributed database systems

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Integrating Human-computer Interaction Principles in User-Centered Dashboard Design: Insights from Maintenance Management 28

Integrating Human-Computer Interaction Principles in User-Ce...

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28th ieee international conference on Intelligent engineering systems (INES)

作者： Dolatabadi, Sepideh Hassankhani Gatial, Emil Budinska, Ivana Balogh, Zoltan Slovak Acad Sci Inst Informat Bratislava Slovakia

ISBN: (纸本)9798350367607;9798350367591

In an era where digital interfaces serve as the primary conduit between users and complex systems, integrating Human-computer Interaction (HCI) principles becomes paramount for effective design. this paper explores the integration of Human-computer Interaction (HCI) principles in user-centered dashboard design, drawing insights from a case study in maintenance management. the study focuses on defining user profiles, goals, and scenarios, as well as developing initial prototypes to illustrate potential design directions. By applying HCI principles such as user research, persona development, and iterative prototyping, the paper outlines a framework for creating intuitive dashboard interfaces tailored to user needs. While not backed by extensive testing, the suggestions and ideas presented in this paper provide valuable starting points for further exploration and refinement in the field of dashboard design. this work contributes to the ongoing dialogue on HCI principles in interface design, offering practical insights and recommendations for enhancing user experience in maintenance management and similar domains.

关键词： Human-computer Interaction Maintenance Dashboard Design User-centered Design

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