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检索条件"任意字段=7th International Conference on Computer and Information Processing Technology, ISCIPT 2022"

共 4197 条记录，以下是11-20 订阅

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Research and Application of Customer Side Security Energy Use Monitoring technology Based on Artificial Intelligence and Digital Power Room 7th

Research and Application of Customer Side Security Energy Us...

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7th international conference on Communication, Device and Networking, ICCDN 2024

作者： Li, Jincan Dai, Ying Zhu, Wanting Li, Pei Yang, Xiaqin Liu, Ying Marketing Department of Guangxi Power Grid Co. Ltd. Guangxi Nanning530023 China

ISBN: (纸本)9789819764648

With the development of the power industry, smart grid has become the development direction of the future global power grid. With the help of a new generation of information technology, the collection of power consumption data at the power terminal, and the analysis of power consumption data, and then timely prediction or identification of electrical faults, timely warning to the user or automatic cut off the power supply, can effectively reduce the risk of electrical faults caused by accidents, reduce the loss caused by accidents. therefore, this paper mainly introduces the development and implementation of intelligent electricity safety monitoring system and fault arc identification algorithm. Firstly, the intelligent electricity safety monitoring system is designed. the main functions of the system are as follows: terminal data collection function, LoRa network wireless transmission function, intelligent gateway data exchange function, server human–computer interaction function and intelligent processing algorithm function. Finally, through the system test, it is found that the intelligent electricity monitoring system can identify the fault arc with 96% accuracy, which is suitable for customer-side safety energy monitoring. through the research and application of intelligent electricity safety monitoring technology, users can grasp the status information and operation of electrical equipment in real time, and establish a perfect operation and maintenance management system based on intelligent electricity monitoring technology. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Gateways (computer networks)

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Medical and Health information Retrieval Method Based on Natural Language processing 4th

Medical and Health Information Retrieval Method Based on Nat...

引用

4th international conference on IoT and Big Data Technologies for Health Care, IotCare 2023

作者： Zhang, Yaping Liu, Nan Guangdong University of Science and Technology Dongguan523000 China Sanmenxia Polytechnic Sanmenxia472000 China

ISBN: (纸本)9783031900839

the information retrieval system helps users find relevant information from large knowledge bases according to their search requests. With the massive growth of medical and health information, the problem of medical and health information retrieval has attracted the attention of the industry and academia. In order to improve the performance of medical and health information retrieval, a medical and health information retrieval method based on natural language processing is proposed. Based on the Chinese word segmentation model framework of dictionary enhanced graph convolution network, the medical and health information retrieval language word segmentation processing is implemented. the TTSimhash algorithm in natural language processing technology is used to calculate the word similarity and find the extended words of conditional keywords. Design a relevance retrieval method of query documents based on BERT multi-level information structure to achieve medical and health information retrieval. the test results show that the design method MAP@k is higher. © ICST Institute for computer Sciences, Social Informatics and Telecommunications Engineering 2025.

关键词： Online searching

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BeLLE: Detecting National Differences in Computational thinking and computer Science through an international Challenge 7th

BeLLE: Detecting National Differences in Computational Thin...

引用

7th international conference on Creative Mathematical Sciences Communication, CMSC 2024

作者： Kaarto, Heidi Bilbao, Javier Pears, Arnold Dagienė, Valentina Kilpi, Janica Parviainen, Marika Pluhár, Zsuzsa Gülbahar, Yasemin Laakso, Mikko-Jussi Turku Research Institute for Learning Analytics University of Turku Turku Finland Bilbao Spain KTH Royal Institute of Technology Stockholm Sweden Vilnius University Institute of Educational Sciences Vilnius Lithuania Eötvös Loránd University Budapest Hungary Teachers College Columbia University New York United States

ISBN: (纸本)9783031732560

the Bebras challenge is an international initiative to engage school pupils with computer science and computational thinking via an annual challenge designed by computer science experts and educators. BeLLE is an international consortium focusing on international comparisons of standard challenge task banks. the consortium uses the ViLLE platform to manage the challenge as it offers a digital exercise-based learning environment with comprehensive learning analytics. the goal is to learn more about students’ knowledge in computer science and computational thinking in order to provide information for curriculum development and other educational planning and research. BeLLE started in 2021 with a pilots in Hungary and India. After the successful pilot, the consortium expanded substantially in the following year, many multiple choice questions were transformed into interactive tasks, and the process of organizing the challenge in ViLLE was refined. In this paper, we present some results of the challenge conducted within the BeLLE consortium in 2022. Over 90,000 students (47 % girls, 53 % boys) participated in the challenge in total through BeLLE. the results show that most students across countries and age groups get less than half of the maximum scores. the difference between girls and boys become apparent in Hungary and Lithuania: in the two oldest age groups (14–16 and 16–19 years old) boys score higher than girls. the time spent on the challenge is often 30 to 40 min with a difference between girls and boys in Hungary and Lithuania: boys use either less or more time than girls. © the Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

关键词： Contrastive Learning

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Station-Wise Boarding Passenger Flow Prediction for Public Transport Using Various Machine-Learning Methods 7th

Station-Wise Boarding Passenger Flow Prediction for Public T...

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7th international conference of Transportation Research Group of India, CTRG 2023

作者： Patel, Madhuri Patel, Samir B. Swain, Debabrata Patel, Shubh Department of Computer Engineering Pandit Deendayal Energy University Gandhingar India Department of Information Technology L D College of Engineering Ahmedabad India Department of Computer Science & Engineering Nirma University Ahmedabad India

ISBN: (纸本)9789819610365

the migration behavior of regular passengers in city transport refers to the movement patterns and preferences of individuals who use public transportation on a regular basis. these passengers may have specific routes, travel times, and preferences for certain modes of transportation. Passenger flow prediction is crucial for understanding and managing this behavior. Accurate predictions enable transportation operators to optimize their services by adjusting vehicle frequency and capacity, deploying additional services during peak periods, providing real-time information, identifying high-demand areas, and expanding the network. this improves the efficiency and reliability of public transportation, catering to the needs of regular passengers. Data science and machine-learning methods allow us to extract correlations from historical data, improving the accuracy of passenger flow prediction. the passenger flow on a station is highly affected by various factors such as the day of the week, holiday, rain, available routes from that station, and some uncertain events like COVID-19. In this study, we have successfully reported passenger flow prediction at various stations using ensemble machine-learning algorithms. Comparative analysis of implemented work has been carried out with the help of statistical parameters and visual infographic details. For accurate prediction model, accurate data cleaning, pre-processing and feature selection based on correlation have been performed on real dataset of thane Municipal Transport (TMT) from April 2021 to May 2022. We have also compared the performance of prediction models based on month, day and individual station for moderately deviated data and highly deviated data resulted due to effect of COVID-19 pandemic and Taukte cyclone. An exhaustive comparative analysis between train set and test set have been reported with necessary parameters. Comparing to benchmark models, the XGB regressor and Random forest model can reach most accur

关键词： Decision trees

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Graph Neural Network Knowledge Graph Recommendation Model Integrating Deep Domain information and Important Domain information 7th

Graph Neural Network Knowledge Graph Recommendation Model In...

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7th international conference on Wireless Communications, Networking and Applications, WCNA 2023

作者： Zhang, Xuelian Computer Science Department Sichuan University Jinjiang College Meishan China

ISBN: (纸本)9789819624089

the importance between source and target nodes is often overlooked in higher-order information, which can introduce excessive noise in complex network scenarios, thereby affecting recommendation performance. To address this issue, we propose a graph neural network-based knowledge graph recommendation model that integrates deep domain information and important domain information, aiming to enhance recommendation accuracy and diversity. Initially, we pre-train the knowledge graph using graph embedding techniques to obtain structural information. Subsequently, we employ a graph convolutional network to delve deeper into the semantic information of the knowledge graph, capturing rich structural and semantic details from both depth and importance perspectives. Finally, we compute the interaction probability between users and items using the inner product of the enhanced vectors and user vectors, facilitating recommendations. Experiments on the Last-FM, Book-Crossing, and MovieLens-20M datasets yield AUC and F1 scores of 83.2% and 75.4%, 74.9% and 66.8%, 97.9% and 93.1%, respectively. Additionally, Recall@50 scores are 34.5%, 11.2%, and 35.0%. Our model outperforms RippleNet, KGCN, LKGR, and other models, indicating that integrating knowledge graph recommendation models with meta-graph neighborhoods effectively improves recommendation performance. © the Author(s) 2025.

关键词： Knowledge graph

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An Open Source Trusted Edge Architecture of Federated Dataspaces for the Food Supply Chain 1st

An Open Source Trusted Edge Architecture of Federated Datas...

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1st international Workshop on the Design, Verification, and Validation of IoT Systems, GRAAL4IoT 2024 and 1st international Workshop on IoT Standards, STAND4IoT 2024, held in conjunction with 7th IFIP WG 5.5 international Cross-Domain conference on Internet of things, IFIPIoT 2024

作者： Tessmer, Alexander Mast, Jannis Loer, Philipp Brunner, Matthias Lippert, Felix Aschenbruck, Nils Osnabrueck University Institute of Computer Science Osnabrueck Germany Lippert Inspection GmbH Sinzig am Rhein Germany tsenso GmbH Stuttgart Germany

ISBN: (纸本)9783031820649

Currently, quality assurance in the food supply chain is predominantly conducted manually with traditional destructive methods. Best before date forecasts depend mainly on time of arrival without including weather or cold chain. Measured data within the food supply chain is not digitized and can therefore not be aggregated for analysis. We propose a new architecture for improving sustainability of the food supply by combining innovative measurement techniques with a trusted cloud edge infrastructure. Forecasts based on digital twins and a shared federated data space for freshness data serve to optimize supply chain processes and reduce the loss of fresh produce along the supply chain. In this paper, we present a suitable system architecture with independent data spaces and flexible implementations for trusted local deployments. © IFIP international Federation for information processing 2025.

关键词： Federated Dataspaces Food Supply Chain Trusted Edge

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ISCTT 2022 - 7th international conference on information Science, computer technology and Transportation

ISCTT 2022 - 7th International Conference on Information Sci...

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2022 7th international conference on information Science, computer technology and Transportation, ISCTT 2022

ISBN: (纸本)9783800760565

the proceedings contain 201 papers. the topics discussed include: covariance matrix adaptation evolution strategy based on multi-distribution collaborative sampling;research progress of reversible data hiding in encrypted domain;encrypted network traffic classification method based on deep capsule network;research on health status evaluation method of switch machine based on ANFIS;fuzzy characteristic analysis of digital TV broadcast signal on account of data mining algorithm;statistical inference of light buoy gyrocenter based on kernel density estimation;user equilibrium assignment with expected utility theory;analysis of passenger flow characteristics index based on bus IC card data points;digital twin production line control system integrating oracle and blockchain;realization of magnifying glass function based on mask and position in e-commerce website;automated analysis of differences in the functionality and performance of 3D CAD systems for collaborative design;research on equipment of marine reef unmanned floating platform information platform;research on city informatization level based on entropy method and system clustering method;and the application and thinking of space information technology in outdoor sports.

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AdaptiveBufferedthreadPool: An Rejection-Resistant Buffered thread Pool for Efficient I/O Task Handling

AdaptiveBufferedThreadPool: An Rejection-Resistant Buffered ...

引用

Software Engineering and computer Science (CSECS), international conference on

作者： QunXiang Mao YunHui Li School Of Computer Science and Information Security Guilin University Of Electronic Technology Guilin China

ISBN: (数字)9798331522216

ISBN: (纸本)9798331522223

Existing thread pools struggle with I/O-intensive tasks: the JDK pool underutilizes CPUs due to blocking, while Tomcat wastes resources via excessive thread creation. Both frequently trigger rejection policies under high loads, risking system stability. this paper presents AdaptiveBufferedthreadPool, featuring (1) Buffer-first Rapid thread Expansion Strategy allows users to suppress excessive thread creation based on business requirements. and (2) Load-Driven Forced Queueing Model to minimize rejections. Experiments demonstrate that compared with Tomcat pool and JDK pool, AdaptiveBufferedthreadPool has higher flexibility in expanding the number of threads to curb over-creation and can achieve a task success rate of over 95% under peak load.

关键词： Instruction sets Web and internet services Pipelines Microservice architectures Parallel processing Stability analysis Real-time systems thermal stability Business Software engineering

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A System for Controlling the GUI by Gestures using a Webcam, Based on MV Algorithms

A System for Controlling the GUI by Gestures using a Webcam,...

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international Youth conference on Radio Electronics, Electrical and Power Engineering (REEPE)

作者： Nikita S. Borisov Yuri S. Belov Information Technology Department Bauman Moscow State Technical University Moscow Russian Federation

ISBN: (数字)9798331531836

ISBN: (纸本)9798331531843

this article presents a gesture-controlled computer system using a webcam and machine vision (MV) algorithms, which allows for more intuitive and accessible human-computer interaction. the research is of great importance because it improves the usability of a computer for people with disabilities and offers a faster alternative to traditional input methods in limited conditions, such as the workplace. the goal is to develop a system that allows users to control graphical user interfaces (GUIs) using gestures using computer vision techniques. the technique includes image processing, hand segmentation, gesture recognition, and command execution. the experiments were conducted on Windows 10 and macOS. the results show successful gesture recognition and command execution in Windows 10, while macOS testing revealed the potential for simplification with built-in features. the study concludes that gesture control technology has significant potential to improve human-computer interaction, especially in environments where traditional input devices are impractical or unavailable.

关键词： Human computer interaction Electric potential Webcams Operating systems Input devices Gesture recognition People with disabilities Usability Testing Graphical user interfaces

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the Application of Social Media in College English Teaching: Data Analysis and Visualization Research

The Application of Social Media in College English Teaching:...

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Software Engineering and computer Science (CSECS), international conference on

作者： Bing Zhang Junteng Wang Ning Ma Key Laboratary of China's Ethnic Languages and Information Technology of Ministry of Education Northwest Minzu University Lanzhou China

ISBN: (数字)9798331522216

ISBN: (纸本)9798331522223

In the era of fragmented learning, using social media for English learning has become mainstream. College English teaching requires continuous understanding of students' online and offline learning situations and needs. information such as the English learning topics discussed by students on social media and the areas of learning they focus on will provide important references for teachers in planning teaching and selecting teaching cases. this paper collects relevant college student English topic information from the Weibo platform and applies the GPU-DMM (Graphic processing Unit-Dirichlet Multinomial Mixtures) semantically enhanced topic model to perform topic mining on English topics. It obtains the corresponding document-topic distribution and topic-word distribution, analyzes the differences between different topics, and identifies the focus points of college students in English learning. Finally, the information of different topics is visually displayed to systematically reflect the topical characteristics of college student English discussions.

关键词： Adaptation models Social networking (online) Education Blogs Semantics Data visualization Tag clouds Data mining Recommender systems Software engineering

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