Human activity recognition (HAR) tasks are essential for developing context-aware features due to their capacity to generate higher-level contexts and personalisable services. The traditional centralised training appr...
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To support learning Dart programming on the Flutter cross-platform development framework, we have developed the Flutter programming Learning Assistant System (FPLAS). FPLAS incorporates a Docker-based Flutter environm...
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Under the circumstance of the new-type power system, uncertainties on both sides of supply and demand lead to prominent characteristics of supply-demand probabilistic matching and multi-regional complementarity, which...
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Low voltage networks are under higher interest in the last period, as they are main targets today for microgrids implementations. There are many challenges in such microgrids and one of them is the study of unbalance ...
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In this study, load frequency control for a hydroelectric power plant with a fractional order PID (FOPID) controller is implemented in MATLAB simulation environment. FOPID controller parameters are optimized under thr...
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Wireless sensor networks (WSNs) are networks with many sensor nodes that are utilized for various purposes, including the military and medical. In hazardous circumstances, precise data aggregation and routing are esse...
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During the multistep process of metastasis,cancer cells encounter various mechanical forces which make them deform *** accurate in-silico models,capable of simulating the interactions between the mechanical forces and...
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During the multistep process of metastasis,cancer cells encounter various mechanical forces which make them deform *** accurate in-silico models,capable of simulating the interactions between the mechanical forces and highly deformable cancer cells,can pave the way for the development of novel diagnostic and predictive methods for metastatic ***-network models of cancer cell,empowered by our recently proposed identification approach,promises a versatile numerical tool for developing experimentally validated models that can simulate complex interactions at cellular *** this numerical tool,we presented spring-network models of breast cancer cells that can accurately replicate the experimental data of deformation behavior of the cells flowing in a fluidic domain and passing narrow constrictions comparable to ***,using high-speed imaging,we experimentally studied the deformability of breast cancer cell lines with varying metastatic potential(MCF-7(less invasive),SKBR-3(medium-high invasive),and MDA-MB-231(highly invasive)in terms of their entry time to a constricted microfluidic *** observed that MDA-MB-231,that has the highest metastatic potential,is the most deformable cell among the ***,by focusing on this cell line,experimental measurements were expanded to two more constricted microchannel *** experimental deformability data in three constricted microchannel sizes for various cell sizes,enabled accurate identification of the unknown parameters of the spring-network model of the breast cancer cell line(MDA-MB-231).Our results show that the identifed parameters depend on the cell size,suggesting the need for a systematic procedure for identifying the size-dependent parameters of spring-network models of *** the numerical results show,the presented cell models can simulate the entry process of the cell into constricted channels with very good agreements with the measured experimen
Portrait drawing learning is important for developing painting skills and humanistic sensibilities to a lot of people. However, it is challenging for novices to start learning portrait drawing, because it is often dif...
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With the increasing development of smart grid,multi-party cooperative computation between several entities has become a typical characteristic of modern energy ***,data exchange among parties is inevitable,rendering h...
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With the increasing development of smart grid,multi-party cooperative computation between several entities has become a typical characteristic of modern energy ***,data exchange among parties is inevitable,rendering how to complete multi-party collaborative optimization without exposing any private information a critical *** paper proposes a fully privacy-preserving distributed optimization framework based on secure multi-party computation(SMPC)with secret sharing *** framework decomposes the collaborative optimization problem into a master problem and several *** process of solving the master problem is executed in the SMPC framework via the secret sharing protocols among *** relationships of agents are completely equal,and there is no privileged agent or any third *** process of solving subproblems is conducted by agents *** to the traditional distributed optimization framework,the proposed SMPC-based framework can fully preserve individual private *** data among agents are encrypted and no private information disclosure is ***,the framework maintains a limited and acceptable increase in computational costs while guaranteeing *** studies are conducted on test systems of different scales to demonstrate the principle of secret sharing and verify the feasibility and scalability of the proposed methodology.
The present review delves into the escalating significance of cybersecurity within the domain of Ocean Renewable Energy (ORE), with emphasis on wave energy power plants. The susceptibility of crucial infrastructure to...
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