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检索条件"任意字段=Proceedings of the 12th ACM International Conference on Distributed and Event-based Systems"

共 1434 条记录，以下是81-90 订阅

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OPTIMIZATION MODEL OF distributed ENERGY SUPPLY SYSTEM based ON MULTI-ENERGY COMPLEMENTARITY 12

OPTIMIZATION MODEL OF DISTRIBUTED ENERGY SUPPLY SYSTEM BASED...

引用

12th international conference on Renewable Power Generation, RPG 2023

作者： Li, Jie Chai, Bo Liu, Siyan Wang, Yishen Shi, Xinghua State Grid Laboratory of Grid Advanced Computing and Applications Beijing China State Grid Smart Grid Research Institute Co. Ltd. Beijing China State Grid Zhejiang Eletric Power Co. Ltd. Hangzhou China

the distributed energy supply system based on multi-energy complementarity is currently a research hotspot in the field of energy engineering, and the key issue faced by this system is operation optimization. the reasonable configuration or not directly affects the economic benefits and operational efficiency of the system. this article focuses on this key issue faced by distributed energy supply systems with multiple complementary energy sources. Taking a cultural tourism park as the research object, considering factors such as economic indicators, energy consumption, and carbon emissions, a multi-objective optimization model for distributed energy supply systems with multiple complementary energy sources is established by gradually decomposing and introducing hourly energy constraints. Experiments have shown that compared to traditional systems, this model can achieve hourly operation optimization and has good economic efficiency and energy-saving and emission-reduction benefits. therefore, it provides a good reference and reference for the energy supply and comprehensive energy planning of multi-energy complementary distributed energy supply systems. © the Institution of Engineering & Technology 2023.

关键词： Parks

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autoWT: A Semi-Automated ML-based Movement Tracking System for Performance Tracking and Analysis in OlympicWeightlifting 12

autoWT: A Semi-Automated ML-Based Movement Tracking System f...

引用

proceedings of the 12th international conference on Sport Sciences Research and Technology Support, icSPORTS 2024

作者： Jurkans, Gatis Ekárt, Anikó Bernardet, Ulysses Aston University Aston Triangle Birmingham United Kingdom

ISBN: (纸本)9789897587191

As part of AI Coaching Assistant project research in sports performance tracking systems, we present autoWT, a novel semi-automated computer vision tracking system designed and developed for repeated long-term performance tracking of Olympic Weightlifting (OW) training. the system integrates multiple cameras and a heart rate sensor to capture, detect, and analyse OWmovements, providing coaches and athletes with objective performance metrics. Key features include automated lift detection, clip extraction, and acquired performance metric visualisation based on markerless pose estimation data. the system architecture, consisting of a distributed system with multiple workers and a controller, enables efficient processing of high-bandwidth data streams. the paper provides an overall system architecture, operating principles and a detailed breakdown of action onset recognition and performance metric extraction system modules. We evaluate the system's lift detection accuracy and the repeatability of extracted performance metrics using data from Olympic lifts. Results demonstrate high accuracy in lift detection and consistent and repeatable metric extraction, indicating autoWT's potential as a valuable tool for conducting long-term Olympic weightlifting performance analysis studies and as an aid for coaching. the autoWT system can enhance the broader perspective and be an exemplary model for designing tracking systems in other sports. Copyright © 2024 by SCITEPRESS - Science and Technology Publications, Lda.

关键词： Sports

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Medical Data Sharing Scheme based on Blockchain-based Attribute Proxy Re-Encryption 12

Medical Data Sharing Scheme Based on Blockchain-Based Attrib...

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12th international conference of Information and Communication Technology, ICTech 2023

作者： Zhang, MingLiang Li, Li College of Computer Science and Technology Shenyang University of Chemical Technology Shenyang China

ISBN: (纸本)9798350332919

Medical data is a kind of personal information with high value. In the traditional medical data management system, it is usually stored in a centralized database, which has problems such as single point of failure, invalid access policy, and difficulty in sharing. Aiming at the above problems, a blockchain-based medical data sharing scheme is proposed. First, use the consortium blockchain to ensure the integrity and transparency of medical data, and use the stealth address method to ensure the impossibility of doctor-patient contact, propose an attribute encryption and proxy re-encryption scheme with a hidden strategy to achieve fine-grained data Access Control Scheme. Combined with smart contracts, the revocation of access rights and the control of access time are realized to protect the privacy of patients. Secondly, in view of the problem of centralized single point of failure and the excessive load of blockchain storage in the process of data sharing, the solution is integrated with blockchain, smart contracts and interplanetary file systems to realize distributed storage of original data ciphertexts under the chain. Low overhead mode shared on-chain with key information ciphertext. Finally, through the security evaluation, it is proved that the scheme can guarantee the safe sharing of data. through comparison with similar data sharing schemes and performance analysis experiments, the results show that this scheme has better efficiency under the premise of ensuring safe sharing. © 2023 IEEE.

关键词： Smart contract

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Innovating Smart Buildings and Cities through Agent-based Modeling, Discrete event Simulation and Sensor-based Data Analytics 12

Innovating Smart Buildings and Cities Through Agent-Based Mo...

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12th IEEE international conference on Intelligent Data Acquisition and Advanced Computing systems: Technology and Applications, IDAACS 2023

作者： Lopinski, Juliane Sachweh, Sabine Muller, Claudia IDiAL Institute University of Applied Sciences and Arts Dortmund Dortmund Germany University Siegen Siegen Germany

ISBN: (纸本)9798350358056

the paper emphasizes the significance of sensor-based data analytics (SBDA) for modeling and simulation in a smart city, using the methods discrete event simulation (DES) and agent-based modeling (ABM). Moreover, the project reviewing paper presents several selected project examples, such as CitySim, AIRE, Smart Grid, and the Gotland project that demonstrate the potential of SBDA in smart buildings and urban systems and analyse possible advantages of the application of the SBDA method. Furthermore, the result table demonstrates the possibilities of using SBDA in ABM and DES in other sectors, thus obtaining accurate results in a modeling system in the future. these findings have significant implications for policymakers, urban planners, and stakeholders in smart city development who seek to enhance the quality of life for urban citizens. the paper contributes to a better understanding of advantages of using sensor-based data analysis in ABM and DES and the method's potential benefit for other sectors. It provides a basis for analysis on some methodologies in the field of smart cities and buildings. It is intended to serve as an overview for future researchers and to contribute to the understanding of general concepts of research institutions. © 2023 IEEE.

关键词： efficiency modelling simulation smart city systems

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Focus Set Semantic Differences 23

Focus Set Semantic Differences

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12th acm international conference on Knowledge Capture, K-CAP 2023

作者： Alghamdi, Ghadah Abdulrahman S. Schmidt, Renate A. Gao, Yongsheng Department of Computer Science Dar Al-Hekma University Saudi Arabia Department of Computer Science The University of Manchester United Kingdom Snomed International United Kingdom

ISBN: (纸本)9798400701412

Ontologies are being utilized widely as sources for formally organized information in a range of fields. the SNOMED CT ontology is a key resource in national and international health sectors for automatically linking information captured by diverse clinical information systems and research data ensuring consistent patient data capture and effective data analytics and decision support. Offering a comprehensive multilingual vocabulary for encoding clinical knowledge of multiple domains, the ontology is large and new releases are created regularly to reflect domain changes and user requirements. the main contribution of the paper is a novel automated approach for tracking semantic differences of subdomains in different versions of SNOMED CT targeted at terminologists, debuggers, ontology evaluators and developers of software using SNOMED CT. Whereas the semantic difference sets produced with existing methods are rather large and difficult to analyze, our method produces concise semantic difference sets for user-specified input focus concepts. Our method is based on subontology generation and semantic difference computation using uniform interpolation, which aids in finding inferred differences that other semantic difference tools do not reveal. the obtained semantic difference sets are related to the meaning of focus concept definitions for specific ontology subdomains, where some of these differences would not have been generated without this focused method for computing semantic differences between ontologies. A case study using SNOMED CT has shown the proposed approach is useful for domain experts. © 2023 Owner/Author.

关键词： Ontology

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proceedings of FTXS 2022: Workshop on Fault Tolerance for HPC at eXtreme Scale, Held in conjunction with SC 2022: the international conference for High Performance Computing, Networking, Storage and Analysis

Proceedings of FTXS 2022: Workshop on Fault Tolerance for HP...

引用

12th IEEE/acm Workshop on Fault Tolerance for HPC at eXtreme Scale, FTXS 2022

ISBN: (纸本)9781665488471

the proceedings contain 5 papers. the topics discussed include: ClusterLog: clustering logs for effective log-based anomaly detection;recovery of distributed iterative solvers for linear systems using non-volatile ram;ReStore: in-memory replicated storage for rapid recovery in fault-tolerant algorithms;implicit actions and non-blocking failure recovery with MPI;and towards precision-aware fault tolerance approaches for mixed-precision applications.

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proceedings of the 12th international conference on Human-Computer Interaction, INTERACCION 2022

Proceedings of the 12th International Conference on Human-Co...

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12th international conference on Human-Computer Interaction, INTERACCION 2022

ISBN: (纸本)9781450397025

the proceedings contain 18 papers. the topics discussed include: accessibility in Spanish universities, evaluation through their policies: communications about accessibility during COVID-19;validation of a heuristic set to evaluate the accessibility of statistical charts;requirements and design patterns for an accessible video conferencing tool;approach to digital rotoscoping by means of painting in motion using EbSynth: human-machine art creation experience;interaction according to immersion in virtual environments: graphic development and PBRs in environments with real-time rendering and virtual reality;classifying simple human activity using synthetic accelerometer data;older adults and types of players in game-based systems: classification based on their motivations;and preliminary study of the usability of the INGAME game for social inclusion and civic participation.

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IPIN-WiP 2022 - WiP proceedings of the 12th international conference on Indoor Positioning and Indoor Navigation - Work-in-Progress Papers, co-located with 12th international conference on Indoor Positioning and Indoor Navigation, IPIN 2022

IPIN-WiP 2022 - WiP Proceedings of the 12th International Co...

引用

12th international conference on Indoor Positioning and Indoor Navigation - Work-in-Progress Papers, IPIN-WiP 2022

the proceedings contain 31 papers. the topics discussed include: PSO-SVR aided robust EKF algorithm for GNSS/INS integrated navigation;AW-FLoc: an adaptive weighted fusion localization algorithm based on CSI and multidirectional image;estimation of precise step lengths by segmenting the motion of individual steps;evaluation on tightly coupled integration of GPS PPP and different interval IMU data;random forest and XGBoost based fingerprinting using MMSE: an approach to data-centric AI to enhance indoor Wi-Fi localization systems;self-synchronizing acoustic positioning system based on TDoA;prior map aided LiDAR-based localization framework via factor graph;a solid-based architecture for decentralized interoperable location data;a review of event-based indoor positioning and navigation;accurate extrinsic calibration of LiDAR and camera with refined vertex features;and a mean optimization filter to improve Bluetooth AoA indoor positioning accuracy for ship environments.

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A Blockchain-based Auditing Scheme for Educational Data Supporting Trusted Detection 12

A Blockchain-Based Auditing Scheme for Educational Data Supp...

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12th international conference on Advanced Cloud and Big Data, CBD 2024

作者： Yu, Feng Lu, Qianhui Meng, Linghui Peng, Jiahui Xi, Jing Li, Xianxian Li Key Lab of Education Blockchain and Intelligent Technology Ministry of Education Guangxi Normal University Guilin China Guangxi Normal University Guangxi Key Lab of Multi-Source Information Mining and Security Guilin China University of South East Jiangsu Provincial Key Laboratorv of Netwrok and Information Security Nanjing China Co. Ltd. China

ISBN: (纸本)9798331511074

In contemporary education systems, educational data is a core element in driving educational advancement and optimizing management. Most educational data is stored in the cloud as videos, images, or text, which facilitates its storage and dissemination. However, there are two significant challenges: First, existing data compliance detection systems may be vulnerable to attacks where malicious actors inject unqualified data into detection models, resulting in the upload of non-compliant educational data. Second, there is the issue of incomplete data storage. Data in cloud computing environments might be lost or corrupted due to various issues, posing a threat to the utilization of educational data. To address these challenges, this paper proposes a blockchain-based auditing scheme for educational data supporting trusted detection scheme(BAS-EDTD). this scheme uses smart contracts to randomly select AI detection modules for data inspection, ensuring that uploaded data is harmless and generating a detection report stored in the cloud. Additionally, a Trusted third Party (TPA) assesses the reputation of AI detection modules to prevent those in untrusted cloud environments from injecting non-compliant data and affecting detection efficiency. Simultaneously, we adopt certificateless aggregate signature technology to perform data integrity auditing, reduce storage and computing overheads, support batch verification, and improve verification efficiency. Security proofs indicate that this scheme can effectively resist forgery attacks and demonstrates lower computing and communication overheads compared to existing schemes in performance analyses. © 2024 IEEE.

关键词： Blockchain Certificate-less Aggregate Signatures Data Integrity Audit Education Data Smart Contracts

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proceedings of the 12th international conference on Cloud Computing and Services Science, CLOSER 2022

Proceedings of the 12th International Conference on Cloud Co...

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12th international conference on Cloud Computing and Services Science, CLOSER 2022

ISBN: (纸本)9789897585708

the proceedings contain 32 papers. the topics discussed include: performance of databases used in data stream processing environments;semantic code clone detection method for distributed enterprise systems;analysis and rewrite of quantum workflows: improving the execution of hybrid quantum algorithms;live migration of containers in the edge;offline mining of microservice-based architectures;predicting and avoiding SLA violations of containerized applications using machine learning and elasticity;a novel weight-assignment load balancing algorithm for cloud applications;comparison of FaaS platform performance in private clouds;evaluation of language runtimes in open-source serverless platforms;cloud function lifecycle considerations for portability in function as a service;saga pattern technologies: a criteria-based evaluation;and reconstructing the holistic architecture of microservice systems using static analysis.

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