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共 28200 条记录，以下是171-180 订阅

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Student Performance Prediction Using AI-ML and Business Intelligence 8

Student Performance Prediction Using AI-ML and Business Inte...

引用

8th IEEE international conference on computing, Communication, control and automation, ICCUBEA 2024

作者： Shinde, Rohan Kadam, Anushka Manickam, M. School of Computing Srm Institute of Science and Technology Department of Networking and Communication Kattankulathur India

ISBN: (纸本)9798350391770

Portugal still trails behind in Europe despite improvements in recent decades in the educational level of its population. This is mostly because of Portugal's high rates of student failure, especially in basic subjects like Portuguese and Mathematics. Similar difficulties exist in India, where there is a chronically high percentage of student failure, particularly in science and math. This study uses business intelligence/data mining methodologies to address these problems by using real-world data, such as demographics, grades, and school-related aspects. In order to test four DM models and three input options, including prior grades, both nations use binary/five-level classification and regression tasks to model student performance. When past school period grades are taken into account, the results demonstrate increased prediction accuracy. The academic performance of students is subject to other factors outside their prior scores, including parental employment and education, alcohol consumption, and absenteeism. The findings of this study indicate the possibility of developing more effective techniques for predicting student outcomes, with the goal of improving the quality of education and optimizing the management of school resources. © 2024 IEEE.

关键词： Prediction models

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An Algebraic Structure for computing Big Data in Livestream 13

An Algebraic Structure for Computing Big Data in Livestream

引用

13th international conference on control, automation and Information Sciences, ICCAIS 2024

作者： Van Pham, Dang Cong-Vinh, Phan Trong Tran, Toan Nguyen, Bao Khang Graduate University of Science and Technology Vietnam Academy of Science and Technology Hanoi Viet Nam Institute of Applied Mechanics and Informatics Vietnam Academy of Science and Technology Ho Chi Minh City Viet Nam Nguyen Tat Thanh University Faculty of Information Technology Ho Chi Minh City Viet Nam British International School Ho Chi Minh City Viet Nam

ISBN: (纸本)9798331542047

Nowadays, big data in livestream (BDL) is becoming increasingly prominent in computing systems (CS). Algebraic structures apply algebraic concepts to BDL in CS, aiding in the analysis and resolution of BDL-related problems. This research focuses on algebraic structures related to BDL, such as monoids, to analyze and categorize their properties. These algebraic monoids are essential in formal methods for verifying and analyzing applications of BDL, as they model program behavior and ensure program correctness. This paper examines the algebraic structure of BDL in CS, specifically detailing BDL and formalizing the properties of BDL monoids. Generally, algebraic structures are crucial for computing BDL, offering fundamental frameworks for comprehending and addressing complex issues of BDL in CS. © 2024 IEEE.

关键词： Big data

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Real-time Data processing and Optimization Research of Edge computing in Industrial automation 4

Real-time Data Processing and Optimization Research of Edge ...

引用

4th international conference on Industrial IoT, Big Data and Supply Chain, IIoTBDSC 2023

作者： Liu, Xin Zhang, Yue Zhang, Yefeng Sun, Yingxue State Grid Information and Telecommunication Co. Ltd. Beijing Branch Beijing100031 China

ISBN: (纸本)9798350341690

At present, the manufacturing industry is in the process of intelligent transformation and upgrading. With the rapid expansion of the connection scale of manufacturing terminals, the amount of data generated by network edge devices such as intelligent terminals is also growing rapidly, this puts forward higher requirements for the industrial transmission broadband, the new manufacturing mode has higher requirements for the real-time performance of data processing, and the existing centralized cloud computing processing mode is difficult to solve these problems efficiently. In order to meet the demand of real-time supervision and quality supervision in the field of industrial automation, it is necessary to process and analyze the class of industrial automation material production test data, explore the data processing technology based on edge computing, establish the cloud collaborative data processing method, the factory production inspection data identification, correlation and preliminary analysis, and upgrade the automation equipment. So as to improve the efficiency of industrial Internet data collection and processing, and relieve the operating pressure of industrial Internet automation equipment. © 2023 IEEE.

关键词： Edge computing

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On Methods for Modeling controlled Dynamics in Stabilization Problems

On Methods for Modeling Controlled Dynamics in Stabilization...

引用

2024 international Russian automation conference, RusAutoCon 2024

作者： Krasinskiy, Aleksandr Ya. Aitov, Vasily Gr. Dept. of Computer Modeling and Probability Theory Moscow Russia Information and Computing Center Rosbiotech Moscow Russia

Automatic devices make up the vast maj ority of technological equipment in modern production. To obtain an output product of appropriate quality, the most complex program control algorithms can be implemented in actuators, including those found by mathematical control theory methods. Stable given operating mode implementation for controlled systems is ensured by its stabilization. In mathematical control theory, rigorous methods have been developed for solving stabilization problems;the effectiveness of their practical application is determined by the adequacy of the mathematical model of the control object used. The article outlines the main approaches to building models with a discussion of their required accuracy. Specific examples of solving stabilization problems for certain technical systems classes with different orders models of accuracy are given. © 2024 IEEE.

关键词： Stabilization

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Design of Smart Parking System using IoT 8

Design of Smart Parking System using IoT

引用

8th IEEE international conference on computing, Communication, control and automation, ICCUBEA 2024

作者： Jain, Samyak Gupta, Shubhi Jain, Rajashree Narsingoju, Bhavana Symbiosis Institute of Computer Studies and Research Symbiosis International Univerisity Pune India Symbiosis Centre for Research and Innivation Symbiosis International Univerisity Pune India

ISBN: (纸本)9798350391770

Increasing urbanization has increased load on the city roads, traffic and parking systems. It is essential to leverage Information Communication Technologies (ICT) to enhance traffic and parking system services in an urban area. With available hardware components and software platform researchers are exploring to build effective solutions to resolve citizen problems. The present paper uses available off the shelf component to build a smart parking system. A tripod approach was used. Such a smart parking system involves user management, parking space management and cloud based administration. IR sensors are used for parking space occupancy detection;these sensors are connected to an Atmel AtMega microcontroller available on Arduino UNO. The information is communicated through a Wi-Fi protocol and cloud services were utilized using Blynk platform. The designed prototype is presented in this paper. The proposed model is an effective way of managing mid-sized parking spaces © 2024 IEEE.

关键词： Blynk Internet of Things IR Sensors Sensors Smart Parking System

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Design of a Visual Platform for Remote Emission Data Monitoring of Heavy Commercial Vehicles Based on Parallel computing 6

Design of a Visual Platform for Remote Emission Data Monitor...

引用

6th IEEE Advanced Information Management, Communicates, Electronic and automation control conference, IMCEC 2024

作者： He, Ying Liu, Chuntao Wang, Chenyu Zhao, Huiyuan Tianjin Ren'ai College School of Intelligent Computing Engineering Tianjin China Tianjin University School of Mechanical Engineering Tianjin China

ISBN: (纸本)9798350316520

In order to solve the problems of non compliant emissions of heavy-duty commercial vehicles throughout their entire life cycle, low efficiency of vehicle emission supervision, and difficulty in analyzing the causes of high emissions, this paper designs a remote emission data monitoring and visualization platform based on parallel computing for heavy-duty commercial vehicles. By screening and reconstructing the actual operational data of heavy-duty vehicles on the road over a long period of time, visual monitoring of heavy-duty commercial vehicle emission data is carried out based on emission passability evaluation standards and limit requirements. And parallel computing technology was added throughout the entire process, improving the efficiency of emission calculations. © 2024 IEEE.

关键词： Commercial vehicles

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Advancing of Microservices Architecture with Dockers 15

Advancing of Microservices Architecture with Dockers

引用

15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Sah, Kriti Priya Jain, Nikunj Jha, Priyanshu Hawari, Jawed Beena, B.M. Department of Computer Science and Engineering Amrita School of Computing Amrita Vishwa Vidyapeetham Bengaluru India

ISBN: (纸本)9798350370249

Docker has revolutionized web hosting. It offers efficiency, scalability, security, and automation. With Docker, businesses and individuals can simplify their hosting. With the help of Docker, the development process is simplified via managing to package the application into standardized units called containers. They can enhance website performance and contribute to a sustainable digital ecosystem. Micro-service architecture might be adopted for smooth flow for the development process. Resource optimization might get improved. Security measures could be bolstered. Multi-cloud deployment strategies may be explored. Server-less computing integration is a possibility. Containerized data storage solutions might be explored. . In the future, Docker based hosting could involve Kubernetes for container orchestration. Machine learning capabilities could be incorporated. Green computing initiatives might be implemented. ©2024 IEEE.

关键词： Plastic bottles

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An MDP-Based Approach for Distribution System control with PV Generation and Battery Storage

An MDP-Based Approach for Distribution System Control with P...

引用

2024 international conference on Communications control and computing Technologies for Smart Grids

作者： Sosnowskit, Robert Baszyrnski, Marcin Konstantinou, Charalambos AGH Univ Sci & Technol AGH UST Dept Power Elect & Energy Control Syst Krakow Poland King Abdullah Univ Sci & Technol KAUST CEMSE Div King WI USA

ISBN: (纸本)9798350318562;9798350318555

This paper proposes a decision-making approach for the control of distribution systems with distributed energy resources (DERs) equipped with photovoltaic (PV) units and battery energy storage systems (BESS). The objective is to minimize the total operational cost of the distribution system while satisfying the system operating constraints. The method is based on the discrete-time finite-horizon Markov Decision process (MDP) framework. Different aspects of the distribution system operation are considered, such as the possibilities of curtailment of PV generation, managing battery storage, reactive power injection, load shedding, and providing a flexibility service for the transmission system. The model is tested for the IEEE 33-bus system with two added DERs and the study cases involve various unexpected events. The experimental results show that this method enables the attainment of relatively low total cost values compared to the reference deterministic approach. The benefits of applying this approach are particularly evident when there is a significant difference between the predicted and actual PV power generation.

关键词： Distribution systems Markov Decision process (MDP) distributed energy resources (DERs) PV battery energy storage systems (BESS)

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A Comprehensive Analysis of Image processing Methods for Agricultural Product Quality control

A Comprehensive Analysis of Image Processing Methods for Agr...

引用

2024 international conference on Innovative computing, Intelligent Communication and Smart Electrical Systems, ICSES 2024

作者： Nandhini, E. Vadivu, G. School of Computing Srm Institute of Science and Technology Department of Data Science and Business Systems Kattankulathur Chennai India

ISBN: (数字)9798331543624

ISBN: (纸本)9798331543617

In the post-harvest stages of agricultural products, labor shortages and poor-quality control lead to significant market losses. The automated industries for agricultural products that use machine learning are evolving, with a recent focus on deep learning (DL). Computer vision (CV) serves as an essential part in the automation method for fruits and vegetables, where image processing (IP) ensures proper product categorization, addressing the issue of product loss. This paper focuses on IP techniques in sequential procedures, which can improve efficiency and precision in agricultural product sorting and grading. Deep neural networks and algorithms are effective because they achieve high classification accuracy with a low loss percentage. © 2024 IEEE.

关键词： Industries Accuracy Reviews Image processing Scalability Quality control Loss measurement IP networks Reliability Sorting

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An Efficient Depth-tracking Method for Live control of Laser Drilling process with Optical Coherence Tomography 21

An Efficient Depth-tracking Method for Live Control of Laser...

引用

21st IEEE international conference on Mechatronics and automation (IEEE ICMA)

作者： Zhao, Tianyi Luo, Yuxin Zhao, Jinhan Ren, Hongjie Xiang, Hai Liu, Yifei Ding, Yaoyu Univ Elect Sci & Technol China Sch Automat Engn Xiyuan Ave Chengdu Sichuan Peoples R China Southwest Univ Westa Coll Tiansheng Rd Chongqing Peoples R China

ISBN: (纸本)9798350388084;9798350388077

Laser drilling has been widely used for fabricating holes in the semiconductor industry due to high throughput and small heat-affected zone. However, it produces varying depths owing to uncertain external conditions and needs a live control at a few kHz rate to handle the fast material removal rate. Optical coherent tomography holds a capacity of in situ acquiring raw interferogram at a high rate (>80 kHz), but the depth extraction is slow (<0.5 kHz) due to the involved heavy Fast Fourier Transform (FFT). To address it, an efficient depth-tracking algorithm is proposed to save the FFT. It searches the depth in the raw interferogram locally with a known last depth given the two truths that only one depth exists and the adjacent depths would not change significantly. The proposed algorithm was proved to expedite the measuring rate to around 3 kHz with a sub-pixel tracking precision. To further secure the rate from the interrupt of operation system, the tracking process is parallelly implemented with a stabilized 50 kHz in a field programmable gate array. The tests were conducted on probe cards with depth variations introduced by offsetting laser focus. The proposed method exhibited the capacity of maintaining a uniform depth.

关键词： laser drilling hole depth optical coherent tomography depth-tracking closed-loop control

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