查看更多>>摘要：Fresh data on artificial intelligence are presented in a new report. According to news reporting out of National Chin-Yi University of Technology by NewsRx editors, research stated, “The air-conditioning systems have become an indispensable part of our daily life for keeping the quality of life.” Financial supporters for this research include Ministry of Science And Technology, Taiwan. Our news editors obtained a quote from the research from National Chin-Yi University of Technology: “However, to improve the thermal comfort and reduce energy consumption is crucial to use the air conditioners effectively with rapid development of artificial intelligence technology. This study explored the correlation between the response of human physiological parameters and thermal sensation voting (TSV) to evaluate the comfort level among various cold and hot stimulations. The variations of the three physiological parameters, which were body surface temperature, skin blood flow (SBF), and sweat area on the skin surface, and TSV values were all positively correlated with the stimulation amount under the stimulation of cold wind, hot wind, and heat radiation, but the relationship was not completely linear. Among the three physiological parameters, the forehead skin temperature has the closest relationship with TSV, followed by the SBF and sweat. Among three stimulations, the cold wind stimulation causes the closest relationship between TSV and forehead temperature, followed by the radiation and hot wind stimulations. Through three different machine learning models, namely, random forest (RF) model, support vector machine (SVM) model, and neural network (NN) model, the stimulation of cold wind, hot wind, and heat radiation was applied to investigate the variation of the three physiological parameters as the input of the models.”
查看更多>>摘要：New study results on robotics have been published. According to news originating from Changzhou, People’s Republic of China, by NewsRx correspondents, research stated, “The use of wheeled mobile robots (MRs) with symmetrical structure in engineering is rapidly increasing, with applications in various fields, such as industry, agriculture, forestry, healthcare, mining, rehabilitation, search and rescue, household tasks, remote locations, and entertainment.” Funders for this research include Sapienza Universita Di Roma. The news editors obtained a quote from the research from School of Electrical Engineering: “As MRs become more common, researchers are focusing on developing better ways to model and control these robots to improve their performance and adaptability. The main challenges in this area include uncertain dynamics, non-holonomic constraints, and various perturbations, which complicate the design of the control system. This paper presents a new predictive control scheme for MRs that is independent of the dynamics and the robot’s working environment. A Type-3 fuzzy logic system is developed to identify the MR dynamics online. The designed predictive scheme improves accuracy and speeds up convergence, while also addressing uncertainties and considering constraints on control input. Additionally, a chaotic-based system is proposed for secure path planning, generating a complex and unpredictable reference trajectory that is useful for patrol MR applications.”
查看更多>>摘要：New research on Machine Learning is the subject of a report. According to news reporting originating from Lund, Sweden, by NewsRx correspondents, research stated, “Leveraging the potential of machine learning and recognizing the broad applications of binary classification, it becomes essential to develop platforms that are not only powerful but also transparent, interpretable, and user friendly. We introduce alphaML, a user-friendly platform that provides clear, legible, explainable, transparent, and elucidative (CLETE) binary classification models with comprehensive customization options.” Our news editors obtained a quote from the research from Lund University, “AlphaML offers feature selection, hyperparameter search, sampling, and normalization methods, along with 15 machine learning algorithms with global and local interpretation. We have integrated a custom metric for hyperparameter search that considers both training and validation scores, safeguarding against under- or overfitting. Additionally, we employ the NegLog2RMSL scoring method, which uses both training and test scores for a thorough model evaluation. The platform has been tested using datasets from multiple domains and offers a graphical interface, removing the need for programming expertise.”
查看更多>>摘要：Current study results on Machine Learning have been published. According to news originating from Montreal, Canada, by NewsRx correspondents, research stated, “The cause-to-effect analysis can help us decompose all the likely causes of a problem, such as an undesirable business situation or unintended harm to the individual(s). This implies that we can identify how the problems are inherited, rank the causes to help prioritize fixes, simplify a complex problem and visualize them.” Financial supporters for this research include Fonds de Recherche du Quebec (FRQ), Natural Sciences and Engineering Research Council of Canada (NSERC), Canadian Institute for Advanced Research (CIFAR), Huawei Technologies.
查看更多>>摘要：Current study results on Robotics have been published. According to news reporting originating in Singapore, Singapore, by NewsRx journalists, research stated, “As autonomous cleaning robots advance, we expect certain features, such as higher area coverage and robustness. To explore these features and their challenges, we need tools and strategies that allow us to develop them rapidly.” Financial support for this research came from Agency for Science Technology & Research (A*STAR). The news reporters obtained a quote from the research from the Singapore University of Technology and Design, “In this paper, we present lessons learned and results while performing 3 months long field trials on the autonomy of a self-reconfigurable floor-cleaning robot. The autonomy here includes path planning and navigation of the robot for coverage in a public food court. The environment of the food court is often subjected to alterations due to human activities. One of the main contributions of this paper is proposing a task-level execution system to deploy the cleaning robot in an actual use case scenario. We also provide in-depth discussions on the solutions and the implementation strategies we found in accomplishing goals.”
查看更多>>摘要：New research on Machine Learning is the subject of a report. According to news reporting from Shanghai, People’s Republic of China, by NewsRx journalists, research stated, “The rapid solidification inherent in laser powder bed fusion (L-PBF) additive manufacturing (AM) introduces segregation phenomena and formation of non-equilibrium phases in duplex titanium alloy components, thereby impeding their suitability for high-reliability engineering applications. Consequently, heat treatment becomes indispensable for optimizing both the microstructure and mechanical properties to meet application requirements.” Funders for this research include National Natural Science Foundation of China (NSFC), National Key R&D Program of China, Fundamental Research Funds for the Central Universities in China.
查看更多>>摘要：Data detailed on Robotics have been presented. According to news reporting originating from Shanghai, People’s Republic of China, by NewsRx correspondents, research stated, “Passivity-based controllers are widely used to facilitate physical interaction between humans and elastic joint robots, as they enhance the stability of the interaction system. However, the joint position tracking performance can be limited by the structures of these controllers when the system is faced with uncertainties and rough high-order system state measurements (such as joint accelerations and jerks).” Financial support for this research came from National Natural Science Foundation of China (NSFC). Our news editors obtained a quote from the research from Shanghai Jiao Tong University, “This study presents a variable structure passivity (VSP) control method for joint position tracking of elastic joint robots, which combines the advantages of passive control and variable structure control. This method ensures the tracking error converges in a finite time, even when the system faces uncertainties. The method also preserves the passivity of the system. Moreover, a cascaded observer, called CHOSSO, is also proposed to accurately estimate high-order system states, relying only on position and velocity signals. This observer allows independent implementation of disturbance compensation in the acceleration and jerk estimation channels. In particular, the observer has an enhanced ability to handle fast time-varying disturbances in physical human-robot interaction.”
查看更多>>摘要：Research findings on Machine Learning are discussed in a new report. According to news reporting out of Gainesville, Florida, by NewsRx editors, research stated, “An accurate representation of hydrodynamic force and torque experienced by every particle in a distribution can be obtained from particle resolved (PR) simulations. These unique quantities are influenced by the deterministic position of surrounding particles.” Funders for this research include NSF - Directorate for Engineering (ENG), Office of Naval Research (ONR) as part of the Multidisciplinary University Research Initiatives (MURI) Program, US Department of Energy, National Nuclear Security Administration, Advanced Simulation and Computing Program, University of Florida under the Predictive Science Academic Alliance Program, National Science Foundation (NSF).
查看更多>>摘要：New study results on pattern recognition and artificial intelligence have been published. According to news reporting from Guangdong, People’s Republic of China, by NewsRx journalists, research stated, “In RFID systems, many anti-collision algorithms, driven by the concept of rescheduling the response sequence between the reader and unidentified tags, have been put forward to solve tag collision problem, including ALOHA-based, tree-based and hybrid algorithms.” Funders for this research include National Key R&D Program of China; National Natural Science Foundation of China; Guangdong Province Foundation. Our news reporters obtained a quote from the research from Guangdong University of Technology: “In this paper, we propose a novel RFID anti-collision algorithm called EAQ-CBB, which adopts three main approaches: tag population estimation based on collided bit detection method, optimal partitions and trimmed query tree based on the strategy of collided block bit-mapping (QTCBB). The relatively accurate estimation of tag backlog and optimal partition ensure a great reduction of collisions in the initial phase. For each collided partition, a QTCBB process is introduced immediately, which eliminates all the empty slots and significantly reduces the collided slots.”
查看更多>>摘要：Investigators discuss new findings in robotics. According to news originating from Istanbul, Turkey, by NewsRx correspondents, research stated, “There has been a notable focus on the adoption of jamming-based technologies, which involve increasing the friction between grains, layers, or fibers to achieve variable stiffness capability in soft robots.” Funders for this research include Bogazici University Research Fund; European Union’s Horizon 2020 Research And Innovation Program; Bogazici University Robotics And Ai Laboratories Project. The news editors obtained a quote from the research from Bogazici University: “Additionally, magnetorheological elastomers (MREs) that show magnetic-field-dependent viscoelasticity have great potential as a material for varying stiffness. This study proposes a hybrid method (magnetic jamming of MRE fibers) for enhancing the stiffness of soft robots, combining a jamming-based with a viscosity-based method. First, a fiber jamming structure is developed and integrated into a soft robot, the STIFF-FLOP manipulator, to prove the concept of the magnetic jamming of MRE fibers. Then, based on the proposed method, a variable stiffness device actuated by electro-permanent magnets is developed. The device is integrated into the same manipulator and the electronically controlled magnetic jamming and stiffening of the manipulator is demonstrated.”
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