查看更多>>摘要：Investigators discuss new findings in Machine Learning. According to news originating from Dalian, People’s Republic of China, by NewsRx correspondents, research stated, “Irradiation tends to increase the concentration of point defects (PDs) in crystalline materials, whose consecutive interactions with other types of defects, such as dislocation and void, are recognised highly responsible for the characteristic plastic and damaging behaviours of materials under irradiation. Conventional treatments on evaluating the strength of PD sinks see their limitation with strong regularity requirements over the models used for summarising the key underlying microstructural behaviours, where analytical solutions are bound to be the outcome.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), Fundamental Research Funds for the Central Universities.
查看更多>>摘要：Investigators discuss new findings in Robotics - Androids. According to news reporting out of Hangzhou, People’s Republic of China, by NewsRx editors, research stated, “The humanoid robot head plays an important role in the emotional expression of human-robot interaction (HRI). They are emerging in industrial manufacturing, business reception, entertainment, teaching assistance, and tour guides.” Financial supporters for this research include Natural Science Foundation of Zhejiang Province, Ningbo Public Welfare Research Program Foundation of China, National Natural Science Foundation of China (NSFC), Japan Society for the Promotion of Science. Our news journalists obtained a quote from the research from the Zhejiang University of Technology, “In recent years, significant progress has been made in the field of humanoid robots. Nevertheless, there is still a lack of humanoid robots that can interact with humans naturally and comfortably. This review comprises a comprehensive survey of state-of-the-art technologies for humanoid robot heads over the last three decades, which covers the aspects of mechanical structures, actuators and sensors, anthropomorphic behavior control, emotional expression, and human-robot interaction.”
查看更多>>摘要：Researchers detail new data in robotics. According to news reporting originating from Bucharest, Romania, by NewsRx correspondents, research stated, “This case study aims to analyse the impact that intelligent technologies have on production processes in the adaptation and adoption context of a series of applications designed to help certain automate steps in the analysed economic processes - supply, production, storage , sale.” Our news editors obtained a quote from the research from Bucharest University of Economic Studies: “Intelligent technologies, part of Industry 4.0, have had over the years a significant impact on the companies that use such IT solutions, which have been adapted to the new requirements that came as a result of mankind’s evolution. These intelligent technologies, which are part of Industry 4.0, provide those who use them, the possibility to have a critical perspective, which can have a major impact on innovation and research in the businesses they run. Regarding Industry 4.0, we can discuss a series of technologies that have helped and will help to implement this innovative concept, such as AI (Artificial Intelligence, RPA (Robotic Process Automation), iRPA (Intelligent Robotic Process Automation), IoT (Internet things), ML (Machine learning) or notions such as Big Data, Analytics or Cloud Computing.”
查看更多>>摘要：Research findings on Robotics - Robotics and Automation are discussed in a new report. According to news reporting from Beijing, People’s Republic of China, by NewsRx journalists, research stated, “Active exoskeletons for tremor suppression show potential for treatment of pathological tremor thanks to their non-invasive nature. However, the active force was only used for the voluntary movement following.” Financial support for this research came from National Natural Science Foundation of China (NSFC). The news correspondents obtained a quote from the research from Tsinghua University, “As a potential alternative, fluidic elastomer actuators (FEAs) possess compliance and flexibility that is important for wearable devices. In this letter, we introduce the control implementation for a FEA to the application of active suppression of hand tremor, which allows a wearable FEA actively exerting force on the finger against tremor and meanwhile following the voluntary motion. The proposed pressure control algorithm could push the closed-loop pressure control to 19 Hz cutoff frequency. A combination neural network of Gated Recurrent Unit-Multilayer Perceptron (GRU-MLP) was proposed to identify and control a fiberreinforced FEA following the voluntary movement of hand. The active tremor suppression effectiveness of the proposed method was tested on a bench-top tremor simulator, and such method could suppress the hand tremor from the original amplitude of more than 5(degrees) to less than 1(degrees).”
查看更多>>摘要：Investigators publish new report on Machine Learning. According to news reporting originating from Shaanxi, People’s Republic of China, by NewsRx correspondents, research stated, “The environment of the Tibetan Plateau is under stress due to the warming climate and increased human activity, which also increases the risk of soil erosion. Gully erosion is one of the main environmental problems in the Tibetan Plateau.” Financial supporters for this research include Second Tibetan Plateau Scientific Expedition and Research Program (STEP), Chinese Academy of Sciences, Natural Science Basic Research Program of Shaanxi Province.
查看更多>>摘要：A new study on Robotics is now available. According to news reporting from Wuhan, People’s Republic of China, by NewsRx journalists, research stated, “Robots are widely employed in industrial settings owing to their efficiency, flexibility, and extensive operational ranges. However, their application in high-precision scenarios is limited owing to their low absolute accuracies.” Financial support for this research came from National Natural Science Foundation of China (NSFC). The news correspondents obtained a quote from the research from the Huazhong University of Science and Technology, “Existing methods suffer from high measurement costs, and limited applicability and accuracy. To address these issues, an active semi supervised transfer learning method (ASTL) is introduced. The pose error prediction problem was modelled as a transfer learning paradigm for the first time. It leverages the proposed multi-stage greedy sampling (MGS) for informed sample labelling combined with coarse calibration and semi supervised transfer learning (STL) to embed theoretical knowledge for globally accurate predictions. The proposed method is compared with other prediction and compensation approaches for four robotic motion tasks. It significantly reduces the time consumption by approximately 89.3% compared with direct measurements and achieves a maximum reduction of approximately 90% in robot pose errors.”
查看更多>>摘要：Current study results on Support Vector Machines have been published. According to news reporting originating in Chengdu, People’s Republic of China, by NewsRx journalists, research stated, “This study presents an innovative hybrid Adaptive Support Vector Machine - Monte Carlo Simulation (ASVMMCS) framework for reliability analysis in complex engineering structures. These structures often involve highly nonlinear implicit functions, making traditional gradient-based first or second order reliability algorithms and Monte Carlo Simulation (MCS) time-consuming.” Funders for this research include National Natural Science Foundation of China (NSFC), Sichuan Science and Technol-ogy Program, China Postdoctoral Science Foundation, Guangdong Basic and Applied Basic Research Foundation, Students Go Abroad for Scientific Research and Internship Funding Program of University of Electronic Science and Technology of China.
查看更多>>摘要：Research findings on Machine Learning are discussed in a new report. According to news reporting originating from Guangdong, People’s Republic of China, by NewsRx correspondents, research stated, “Artificial olfactory systems have been widely used in medical fields such as in the analysis of volatile organic compounds (VOCs) in human exhaled breath. However, there is still an urgent demand for a portable, accurate breath VOC analysis system for the healthcare industry.” Funders for this research include Shenzhen Stability Support Plan, Shenzhen University, Ministry of Education for Equipment Preresearch, Shenzhen Stability Support Plan, Shenzhen Overseas Talent Program, Shenzhen Key Laboratory for Nano-Biosensing Technology, National Natural Science Foundation of China (NSFC).
查看更多>>摘要：New research on Support Vector Machines is the subject of a report. According to news reporting originating from Changsha, People’s Republic of China, by NewsRx correspondents, research stated, “Support vector machine (SVM) is widely recognized as an effective classification tool and has demonstrated superior performance in diverse applications. However, for large-scale pattern classification problems, it may require much memory and incur prohibitive computational costs.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), Changsha Munici-pal Natural Science Foundation, Hunan Provincial Education Department. Our news editors obtained a quote from the research from the Changsha University of Science and Technology, “Motivated by this, we propose a new SVM model with novel generalized ramp loss (LRSVM). The first-order optimality conditions for the non-convex and non-smooth LR-SVM are developed by the newly developed P-stationary point, based on which, the LR support vectors and working set of LR-SVM are defined, interestingly, which shows that all of the LR support vectors are on the two support hyperplanes under mild conditions. A fast proximal alternating direction method of multipliers with working set (LR-ADMM) is developed to handle LR-SVM and LR-ADMM has been demonstrated to achieve global convergence while maintaining a significantly low computational complexity.”
查看更多>>摘要：A new study on artificial intelligence is now available. According to news reporting from Aichi, Japan, by NewsRx journalists, research stated, “This study investigates the extent to which gender can be inferred from the phonemes that make up given names and words in American English.” Funders for this research include Japanese Society For The Promotion of Science (Jsps) Kakenhi. Our news correspondents obtained a quote from the research from Nagoya University of Commerce and Business: “Two extreme gradient boosted algorithms were constructed to classify words according to gender, one using a list of the most common given names (N 1,000) in North America and the other using the Glasgow Norms (N 5,500), a corpus consisting of nouns, verbs, adjectives, and adverbs which have each been assigned a psycholinguistic score of how they are associated with male or female behaviour. Both models report significant findings, but the model constructed using given names achieves a greater accuracy despite being trained on a smaller dataset suggesting that gender is expressed more robustly in given names than in other word classes. Feature importance was examined to determine which features were contributing to the decision-making process. Feature importance scores revealed a general pattern across both models, but also show that not all word classes express gender the same way.”
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