查看更多>>摘要：Researchers detail new data in Robotic s. According to news reporting out of Changsha, People's Republic of China, by N ewsRx editors, research stated, "This work used acoustic emission (AE) technique to detect machining vibrations during robotic milling process, and elaborated t he impact mechanism of milling vibrations on surface roughness and residual stre ss. The findings indicated that the features relating to machining vibration inc luded a sudden increase of amplitude in the time domain, and variations of frequ ency distribution in the frequency domain." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), Natural Science Foundation of Hunan Province.
查看更多>>摘要：A new study on artificial intelligence is now available. According to news reporting originating from Plouzane, France , by NewsRx correspondents, research stated, "The ocean's biological carbon pump plays a major role in climate and biogeochemical cycles."
查看更多>>摘要：2024 OCT 09 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-A new study on artificial intelligence is now ava ilable. According to news reporting originating from Buraydah, Saudi Arabia, by NewsRx correspondents, research stated, "This paper investigated a new speed reg ulator using an adaptive transitioning policy iteration learning technique for t he variable reluctance motor (VRM) drive." Financial supporters for this research include The Qassim University. Our news editors obtained a quote from the research from Qassim University: "A t ransitioning strategy is used in this unique scheme to handle the nonlinear beha vior of the VRM by using a series of learning centers, each of which is an indiv idual local learning controller at linear operational location that grows throug hout the system's nonlinear domain. This improved control technique based on an adaptive dynamic programming algorithm is developed to derive the prime solution of the infinite horizon linear quadratic tracker (LQT) issue for an unidentifie d dynamical configuration with a VRM drive. By formulating a policy iteration al gorithm for VRM applications, the speed of the motor shows inside the machine mo del, and therefore the local centers are directly affected by the speed. Hence, when the speed of the rotor changes, the parameters of the local centers grid wo uld be updated and tuned."
查看更多>>摘要：Current study results on Machine Learn ing have been published. According to news reporting originating in Shanghai, Pe ople's Republic of China, by NewsRx journalists, research stated, "Processing-in -Memory (PIM) has been widely explored for accelerating data-intensive machine l earning computation that mainly consists of general-matrix-multiplication (GEMM) , by mitigating the burden of data movements and exploiting the ultra-high memor y parallelism. The two mainstreams of PIM, the analog- and digital-type, have bo th been exploited in accelerating machine learning workloads by numerous outstan ding prior works." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), National Key Research & Development Program of China, MSRA gift fund, Lingang Laboratory Open Research Fund, SJTU-BIREN.
查看更多>>摘要：2024 OCT 09 (NewsRx)-By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News-Investigators publish new report on Machine Learn ing. According to news reporting originating in Nanjing, People's Republic of Ch ina, by NewsRx journalists, research stated, "This work proposes the integration of a tensegrity structure composed of struts and cables into an antenna, thus a chieving a lightweight and optimized design for the large-scale system. Active c ontrol is introduced to ensure the deformation accuracy of the cable-strut anten na, while a shape sensing method based on force density information is adopted t o obtain the deformation field of actual wind cases from monitoring the cable fo rces."
查看更多>>摘要：Current study results on Robotics have been published. According to news reporting out of Shandong, People's Republic of China, by NewsRx editors, research stated, "Welding robots have been widely u sed with the development of manufacturing industry. At present, welding trajecto ry planning and programming of welding robots are performed separately for simil ar (structural) workpieces with different dimensions or deformations." Funders for this research include National Key R&D Program of China , National Natural Science Foundation of China (NSFC), Shandong Provincial Key R esearch and De-velopment Program, China, Taishan Industry Leading Talent Project , China.
查看更多>>摘要：New research on Surgery - Arthroplasty is the subject of a report. According to news originating from Hyderabad, India , by NewsRx correspondents, research stated, "This study investigates the radiol ogical outcomes of robotic-assisted total hip arthroplasty (RATHA) compared to m anual total hip arthroplasty (mTHA), addressing the ongoing debate on the effect iveness of RATHA in achieving superior implant positioning accuracy. A prospecti ve cohort of 212 patients (103 robotic, 109 manual) underwent THA and were evalu ated for postoperative radiological outcomes, focusing on the inclination and an teversion angles of the acetabular cup."
查看更多>>摘要：Current study results on Robotics have been published. According to news originating from Shanghai, People's Republic of China, by NewsRx correspondents, research stated, "It is challenging to achie ve compliant operation in tight interaction tasks, where closed-loop constraints are formed between the robots or between a robot and the environment. Complex d ynamic interactions and uncertain parameters degrade the performance of model-ba sed controllers." Financial supporters for this research include National Natural Science Foundati on of China (NSFC), China Postdoctoral Science Foundation, Natural Science Found ation of Chongqing, Science and Technology Research Program of Chongqing Municip al Education Commission, Opening Foundation of Key Laboratory of Intelligent Rob ot, Open Project of Fujian Key Laboratory of Spatial Information Perception and Intelligent Processing.
查看更多>>摘要：Fresh data on Machine Learning - Compu tational Intelligence are presented in a new report. According to news originati ng from Changsha, People's Republic of China, by NewsRx correspondents, research stated, "In the new electricity market, the accurate electricity demand predict ion can make high possible profit. However, electricity consumption data exhibit s nonlinearity, high volatility, and susceptibility to various factors." Financial support for this research came from National Natural Science Foundatio n of China (NSFC). Our news journalists obtained a quote from the research from the Changsha Univer sity of Science and Technology, "Most existing prediction schemes inadequately a ccount for these traits, resulting in weak performance. In view of this, we prop ose a collaborative multi-component optimization model (MCOBHPSF) to achieve hi gh accuracy electricity demand prediction. For this model, the original data is first decomposed into linear trend components and nonlinear residual components using the Moving Average filter. Then, the enhanced Pattern Sequence-based Forec asting (PSF) algorithm that can effectively capture data patterns with obvious c hanges is used to accurately forecast the trend component and the embedded Light GBM for residual components. We further optimize the prediction results by using an error optimization scheme based on online sequence extreme learning machines to reduce prediction errors. The results of extensive experiments on four real- world datasets demonstrate that our proposed MCO-BHPSF model outperforms four ad vanced baseline models. In day-ahead prediction, our model is on average 31 % better than PSF baselines."
查看更多>>摘要：Investigators publish new report on Ar tificial Intelligence. According to news reporting from Wuhan, People's Republic of China, by NewsRx journalists, research stated, "Perovskites have been broadl y considered as the most suitable materials for the fabrication of artificial sy napses because of easily formed conductive filaments via ion migration, which ar e of great potential for the construction of a neuromorphic computing system wit h an extraordinary capacity for parallel massive information processing at an ul tralow energy consumption." Financial supporters for this research include National Key Research & Development Program of China, National Natural Science Foundation of China (NSFC ), Sci-ence Foundation of Donghai Laboratory, Fundamental Research Funds for the Central Universities, Natural Science Funding for Excellent Young Scholar of He ilongjiang Province.
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