P-MoVE is a modern, open-source framework designed to monitor and visualize live and/or recorded performance data with the ultimate goal of being a digital twin for HPC systems. Leveraging a Knowledge Base (KB), built...
详细信息
Chiplet-basedsystems have become prominent in large systems-on-Chips (SoCs) as a means to mitigate increasing design costs. However, the integration of multiple chiplets introduces new challenges in the interconnecti...
详细信息
Natural Language Processing (NLP) is widely used to supply summarization ability from long context to structured information. However, extracting structured knowledge from scientific text by NLP models remains a chall...
详细信息
Vehicle retrieval has become crucial for public transportation and intelligent transportation systems due to the exponential development of large-scale transportation videos. Vehicle re-identification and vehicle trac...
详细信息
GraphWalker is a widespread automated model-based testing tool that generates executable test cases from graph models of a system under test. GraphWalker implements only two random test generation algorithms and has n...
详细信息
With the growing complexity in architecture and the size of large-scale computing systems, monitoring and analyzing system behavior and events has become daunting. Monitoring data amounting to terabytes per day are co...
详细信息
This paper attempts to present a thorough review of different papers defining face recognition systems as well as autonomous tracking systems. This review will help in understanding the working of different recognitio...
详细信息
Belt conveyors play an important role in the dry bulk material handing process. This paper presents an innovative approach to intelligent tracking and speed control for belt conveyors. The proposed method utilizes a r...
详细信息
ISBN:
(纸本)9798350386783;9798350386776
Belt conveyors play an important role in the dry bulk material handing process. This paper presents an innovative approach to intelligent tracking and speed control for belt conveyors. The proposed method utilizes a recursive fuzzy neural network for predictive control, which is particularly effective for managing nonlinear systems and unexpected events during operation. By establishing a sparse second-order matrix model derived from the dynamic model of the belt conveyor, a recursive neural network control is designed to achieve speed tracking. To validate the effectiveness of the proposed method, simulation experiments are conducted to optimize material flow rate and speed under real working conditions. The results demonstrate a remarkable 18.4% reduction in energy consumption, highlighting the practical benefits of this approach.
Voice-based user interfaces (VUIs) represent a promising avenue for enhancing accessibility in humancomputer interaction (HCI). This research paper investigates the effectiveness of VUIs in addressing accessibility ch...
详细信息
The proceedings contain 84 papers. The topics discussed include: scheduling of electric vehicle charging in a solar-wind powered microgrid using machine learning;technical design of grid connected photovoltaic (PV)-ba...
ISBN:
(纸本)9798331535476
The proceedings contain 84 papers. The topics discussed include: scheduling of electric vehicle charging in a solar-wind powered microgrid using machine learning;technical design of grid connected photovoltaic (PV)-based electric vehicle charging stations in Bangladesh perspective;rectenna-based wireless power transfer for implantable bioelectronic devices;an integrative framework for forecasting chronic renal disease;optimal design and techno-economic feasibility analysis of hybrid renewable energy systems;bandgap modification and investigation of effective mass and mobility of monolayer MoS2 with substitutional phosphorous doping;assessing energy, economic, and environmental aspects of electric vehicle charging station for three-wheelers;a transformer-based model for image caption generation with memory enhancement;and an enhanced approximate multiplier using error report propagation full adders.
暂无评论