Nowadays, sensor nodes are utilized in widespread distribution. thus, security issues are a significant apprehension in the Wireless sensor Networks (WSN). the gray hole attack is a particularly damaging kind of assau...
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computingthe optimal solution to a spatial filtering problems in a Wireless sensor Network can incur large bandwidth and computational requirements if an approach relying on data centralization is used. the so-called...
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Withthe increasing size of Deep Neural Networks (DNNs) and datasets, DNN training will consume a lot of time. Various distributed strategies have been utilized to speed up the training process. Nevertheless, the freq...
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the proceedings contain 28 papers. the special focus in this conference is on Parallel and distributedcomputing, Applications and Technologies. the topics include: Insider Trading Detection Algorithm in Industrial Ch...
ISBN:
(纸本)9789819982103
the proceedings contain 28 papers. the special focus in this conference is on Parallel and distributedcomputing, Applications and Technologies. the topics include: Insider Trading Detection Algorithm in Industrial Chain Based on Logistics Time Interval Characteristics;link Attributes Based Multi-service Routing for Software-Defined Satellite Networks;A Fuzzy Logical RAT Selection Scheme in SDN-Enabled 5G HetNets;SSR-MGTI: Self-attention Sequential Recommendation Algorithm Based on Movie Genre Time Interval;fine Time Granularity Allocation Optimization of Multiple Networks Industrial Chains in Task Processing systems;Ε-Maximum Critic Deep Deterministic Policy Gradient for Multi-agent Reinforcement Learning;effective Density-Based Concept Drift Detection for Evolving Data Streams;an End-to-End Multiple Hyper-parameters Prediction Method for distributed Constraint Optimization Problem;Formalization and Verification of the Zab Protocol Using CSP;dynamic Priority Coflow Scheduling in Optical Circuit Switched Networks;Deep Reinforcement Learning Based Multi-WiFi Offloading of UAV Traffic;Triple-Path RNN Network: A Time-and-Frequency Joint Domain Speech Separation Model;design of Query Based Gallery Selector and Mask-Aware Loss for Person Search;a Privacy-Preserving Blockchain Scheme for the Reliable Exchange of IoT Data;R-RPT-A Reliable Routing Protocol for Industrial Wireless sensor Networks;action Segmentation Based on Encoder-Decoder and Global Timing Information;Security Challenges and Lightweight Cryptography in IoT: Comparative Study and Testing Method for PRESENT-32bit Cipher;the Prediction Model of Water Level in Front of the Check Gate of the LSTM Neural Network Based on AIW-CLPSO;Using MPIs Non-Blocking Allreduce for Health Checks in Dynamic Simulations;parallelizable Loop Detection using Pre-trained Transformer Models for Code Understanding;list-Based Workflow Scheduling Utilizing Deep Reinforcement Learning.
Publish/subscribe systems are widely used as messaging middleware in various scenarios, such as online business, financial trading, and social media. However, the network overhead intro-duced by the pub/sub system can...
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Efficient water resource management stands as a linchpin for sustainable development initiatives worldwide. To this end, this work endeavours to pioneer a comprehensive water level monitoring system with a focus on le...
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this paper addresses the issue of reduced transmission efficiency in wireless charging systems due to foreign metal object and misalignment of coils. It proposes an integrated method for the detection of metals and ma...
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this paper presents an efficient distributed realtime control scheme for a set of batteries in power grids to follow a day-ahead dispatch plan. the problem of controlling the batteries is cast as a multistep optimizat...
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ISBN:
(数字)9781665405577
ISBN:
(纸本)9781665405577
this paper presents an efficient distributed realtime control scheme for a set of batteries in power grids to follow a day-ahead dispatch plan. the problem of controlling the batteries is cast as a multistep optimization problem aiming to minimize the error in dispatch following while satisfying lookahead constraints of the individual batteries. To achieve a computationally efficient solution, Lagrangian decomposition is used to distribute the task into subproblems pertaining to each battery. Finally, each subproblem is reformulated as a Markov Decision Process and solved withthe fitted Q-iteration. Communication among subproblems is achieved via the common Lagrange multiplier value. Simulation results demonstrate that this approach has a similar cost performance to the state-of-the-art model predictive control solution, while achieving better performance in terms of computation time.
As the most widely distributed pollutant in the earth's atmosphere, CO has received extensive attention and research worldwide. the CO concentration is now detectable by remote and sensor methods. In this paper, a...
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In this paper, the economic dispatch problem of multi-agent network systems is investigated based on distributed finite-step consensus iteration algorithm. In the proposed consensus strategy, the finite iteration step...
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