The proceedings contain 21 papers. The topics discussed include: enhancing the performance of photonic crystal and gates with machine learning optimization;bitcoin price prediction based on financial data, technical i...
ISBN:
(纸本)9798350381580
The proceedings contain 21 papers. The topics discussed include: enhancing the performance of photonic crystal and gates with machine learning optimization;bitcoin price prediction based on financial data, technical indicators, and news headlines sentiment analysis using CNN and GRU deep learning algorithms;promoting cybersecurity knowledge via gamification: an innovative intervention design;modeling and verification of the causal broadcast algorithm using colored Petri Nets;GPU-based parallel technique for solving n-similarity problem in textual data mining;a novel approach for specification and verification of symmetric distributed algorithms using spin;optimizing geophysical workloads in high-performance computing: leveraging machine learning and transformer models for enhanced parallelism and processor allocation;and rational Jacobi kernel functions: a novel massively parallelizable orthogonal kernel for support vector machines.
The proceedings contain 23 papers. The topics discussed include: designing neuromorphic architectures: towards an ultra-low power AI;creating an edge-to-cloud computing continuum: status and perspective;observability ...
ISBN:
(纸本)9798350397543
The proceedings contain 23 papers. The topics discussed include: designing neuromorphic architectures: towards an ultra-low power AI;creating an edge-to-cloud computing continuum: status and perspective;observability of software computing systems: challenges and opportunities;challenges in real-time scheduling for energy harvesting embedded systems;optimizing deep learning application for edge computing;toward memory-centric scheduling for prem task on multicore platforms, when processor assignments are specified;embedded Raspberry Pi vehicle detection and classification using single shot detector and dilated multi-column convolutional neural network;a combination of multi and univariate anomaly detection in urban irrigation systems;an innovative smart and sustainable low-cost irrigation system for smallholder farmers' communities;and Bayesian convolutional neural networks for image classification with uncertainty estimation.
The proceedings contain 87 papers. The topics discussed include: research on the layout of shared electric vehicle charging stations based on AHP-MOP method;structure-preserving video super resolution with multi-scale...
ISBN:
(纸本)9781665487474
The proceedings contain 87 papers. The topics discussed include: research on the layout of shared electric vehicle charging stations based on AHP-MOP method;structure-preserving video super resolution with multi-scale convolution;research on underwater measurement-device-independent quantum key distribution;an assessment and evaluation framework for highway construction management based on data analysis of the project management platform;multi-station joint long-term water level prediction model of hongze lake based on rf-informer;similarity-guided and multi-layer fusion network for few-shot semantic segmentation;an improved HRNET and its application in crowd counting;cervical cell classification based on attention mechanism and multi-resolution feature fusion;research hotspot and trend analysis of anonymous communication based on citespace;optoelectronic servo tracking technology based on particle swarm optimization compound control of feedforward coefficients;and robust control of aero-engine networked control system with long time delay.
The proceedings contain 34 papers. The topics discussed include: prototyping an environmental sensor network for meteorological and climate studies at the city scale;intelligent system for governing risks in smart cit...
ISBN:
(纸本)9781839538186
The proceedings contain 34 papers. The topics discussed include: prototyping an environmental sensor network for meteorological and climate studies at the city scale;intelligent system for governing risks in smart cities applications;sleep apnea detecting based on ECG and EEG signals using discrete wavelet transform and artificial neural network;forecasting Dubai City water demand using the fuzzy logic approach;analyzing domestic energy behavior with a multi-dimensional appliance-level dataset;TOPSIS multi-criteria decision-making method for mechanical energy storage systems' evaluation;detection of Alzheimer’s disease using machine learning models: the impact of pre-processing;epileptic seizure detection using short time Fourier transform and convolutional neural network;extended state observer-based neural networks with super-twisting sliding mode control feedback stabilizer;and Arabic sign language recognition algorithm based on deep learning for smart cities.
The proceedings contain 6 papers. The topics discussed include: assessing the performance impact of using an active global address space in HPX: a case for AGAS;sequential codelet model of program execution - a super-...
ISBN:
(纸本)9781728159935
The proceedings contain 6 papers. The topics discussed include: assessing the performance impact of using an active global address space in HPX: a case for AGAS;sequential codelet model of program execution - a super-codelet model based on the hierarchical turing machine;ADVERT: an asynchronous runtime for fine-grained network systems;design and evaluation of shared memory communication benchmarks on emerging architectures using MVAPICH2;characterizing the performance of executing many-tasks on summit;and leveraging network-level parallelism with multiple process-endpoints for MPI broadcast.
In order to adapt to the dynamic changes of the network service environment in distributed clusters, achieve more efficient service reconfiguration, and improve the availability, reliability and flexibility of distrib...
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ISBN:
(纸本)9798400716959
In order to adapt to the dynamic changes of the network service environment in distributed clusters, achieve more efficient service reconfiguration, and improve the availability, reliability and flexibility of distributed cluster systems, this paper proposes a QoS-guided distributed cluster service dynamic reconfiguration algorithm based on HBW-GOA (Hybrid Black Widow and Grasshopper Optimization Algorithm). The HBW-GOA algorithm mixes the mutation mechanism in the Black Widow Algorithm and the inter-population influence mechanism in the Locust Algorithm, which improves the overall convergence speed of the algorithm and the quality of the solution. In order to balance the performance of the distributed system and the quality of service for users, this paper designs QoS metrics applicable to distributed cluster systems as a fitness function to guide the iterative behavior of individuals in the algorithm. Comparative simulation experimental results show that the algorithm proposed in this paper can accelerate the service reconfiguration time, can reduce the overall energy consumption of the system, and improve the resource utilization and service quality.
In this paper, evolutionary game theory is used to study the boundary conditions of different stable states of knowledge alliances in distributed computing environments and the specific factors that influence the evol...
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The proceedings contain 216 papers. The topics discussed include: implementation of a wireless energy monitoring and databasing system using PLC;optimizing the integration of distributed generation, shunt capacitors, ...
ISBN:
(纸本)9798350387193
The proceedings contain 216 papers. The topics discussed include: implementation of a wireless energy monitoring and databasing system using PLC;optimizing the integration of distributed generation, shunt capacitors, and electric vehicle charging stations into radial distribution systems;comparative analysis of TFET structures for low power sensor design;comparison of PID tuning methods for buck converter system;frequency control of power system under denial of service attack;GACNNXAI: employing genetic algorithm-enhanced convolutional neural networks and explainable artificial intelligence and its applications;and implementation of a non-invasive PCB embedded Rogowski coil current sensor for control of high frequency GaN LLC resonant converter with active rectification.
distributedsystems based on the Internet allow resources widely dispersed throughout the network to be utilized cooperatively and shared. This allows the end-user to obtain massive computational power to perform a co...
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With the continuous development and expansion of new energy devices, the user group using distributed energy technology is also expanding. distributed Multi-energy systems (D-MES) can sustainably transform the energy ...
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ISBN:
(纸本)9798400716959
With the continuous development and expansion of new energy devices, the user group using distributed energy technology is also expanding. distributed Multi-energy systems (D-MES) can sustainably transform the energy supply of buildings, regions, and communities by integrating multiple energy-saving technologies, renewable energy sources, and electricity, gas, and thermal networks to provide heating, cooling, and electricity services[9].distributed energy monitoring device is also more and more development prospects, especially in the country, due to energy and environmental issues more and more people's attention, the construction and use of new energy devices have been strongly supported by the government,distributed energy monitoring devices have become an important part of the stable operation of the distributed energy system. In this paper, a distributed energy monitoring device based on 5G technology is proposed. Through the interconnection of monitoring equipment and energy equipment, real-time data collection, analysis and control are realized. The device combines the distributed energy system and 5G communication technology, and has the advantages of flexibility, high efficiency and security. Through the analysis of experiments and application cases, it has also been verified.
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