Federated Learning (FL) has emerged as a privacy-preserving machine learning approach, enabling collaborative model training across devices while maintaining the decentralization of raw data. This paper investigates t...
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Various approaches have been proposed for extracting microservices from the source code of monolithic software systems. The extracted microservices are usually evaluated by using the metrics of the precision and recal...
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Human intelligence tasks(HITs),such as labeling images for machine learning,are widely utilized for crowdsourcing human *** crowdsourcing platforms face challenges of a single point of failure and a lack of service **...
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Human intelligence tasks(HITs),such as labeling images for machine learning,are widely utilized for crowdsourcing human *** crowdsourcing platforms face challenges of a single point of failure and a lack of service *** blockchain-based crowdsourcing approaches overlook the low scalability problem of permissionless blockchains or inconveniently rely on existing ground-truth data as the root of trust in evaluating the quality of workers’*** propose a blockchain-based crowdsourcing scheme for ensuring dual fairness(i.e.,preventing false reporting and free riding)and improving on-chain efficiency concerning on-chain storage and smart contract *** proposed scheme does not rely on trusted authorities but rather depends on a public blockchain to guarantee dual *** efficient and publicly verifiable truth discovery scheme is designed based on majority voting and cryptographic *** truth discovery scheme aims at inferring ground truth from workers’*** ground truth is further utilized to estimate the quality of workers’***,a novel blockchain-based protocol is designed to further reduce on-chain costs while ensuring *** scheme has O(n)complexity for both on-chain storage and smart contract computation,regardless of the number of questions,where𝑛denotes the number of *** security analysis is provided,and extensive experiments are conducted to evaluate its effectiveness and performance.
The indoor positioning for visually impaired people has influence on their daily life in unknown indoor environment. This study designs the robot that can assist the blind walking safety and navigate in indoor environ...
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In this correspondence, we consider vehicular edge computing systems in which computing tasks arrive randomly to vehicles over time and are offloaded to one of the edge servers. Unlike previous work that assumes ideal...
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To tackle the energy crisis and climate change,wind farms are being heavily invested in across the *** China's coastal areas,there are abundant wind resources and numerous offshore wind farms are being *** secure ...
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To tackle the energy crisis and climate change,wind farms are being heavily invested in across the *** China's coastal areas,there are abundant wind resources and numerous offshore wind farms are being *** secure operation of these wind farms may suffer from typhoons,and researchers have studied power system operation and resilience enhancement in typhoon ***,the intricate movement of a typhoon makes it challenging to evaluate its spatial-temporal *** published papers only consider predefined typhoon trajectories neglecting *** address this challenge,this study proposes a stochastic unit commitment model that incorporates high-penetration offshore wind power generation in typhoon *** adopts a data-driven method to describe the uncertainties of typhoon trajectories and considers the realistic anti-typhoon mode in offshore wind farms.A two-stage stochastic unit commitment model is designed to enhance power system resilience in typhoon *** formulate the model into a mixed-integer linear programming problem and then solve it based on the computationally-efficient progressive hedging algorithm(PHA).Finally,numerical experiments validate the effectiveness of the proposed method.
This article formulates and analyzes agreements of the nonlinear opinion dynamics in social networks according to switching interactions, where the agents' susceptibilities depend on current states. These switchin...
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The attention mechanism is a core module in today's well-established models like Transformers and Graph Attention Networks (GAT). The attention coefficients needed typically requires heavy computational resources ...
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In this paper we use the difference of pre-fault and during fault phasor voltages expressed as symmetrical voltages to classify and locate fault in a power distribution network with distributed energy resources. We pr...
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The unprecedented prosperity of the Industrial Internet of Things has significantly driven the transition from traditional manufacturing to intelligent one. In industrial environments, resource-constrained industrial ...
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