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    Reports Outline Machine Learning Study Findings from National Institute of Technology Warangal (Predicting Thermophysical Properties of Alkanes and Refrigerants Using Machine Learning Algorithms)

    96-96页
    查看更多>>摘要：Current study results on Machine Learning have been published. According to news reporting originating from Telangana, India, by NewsRx correspondents, research stated, “In this study, we have trained and compared five regression machine learning (ML) algorithms to assess their predictive capabilities in reproducing thermodynamic and transport properties of alkanes as well as refrigerants. We also examined the pairwise correlation between the input features, which consisted of molecular structural details for alkanes and the number of different atoms for refrigerants, and various thermophysical properties.” Financial support for this research came from Science and Engineering Research Board , India. Our news editors obtained a quote from the research from the National Institute of Technology Warangal, “The ML models used for prediction include random forest regression, decision tree regression, feedforward neural network, multiple linear regression, and polynomial regression. These models were trained to predict thermophysical properties such as kinematic viscosity, speed of sound, molar heat capacity, thermal conductivity, and enthalpy at various temperatures and pressures. Among the tested models, the random forest regression model demonstrated superior predictive capabilities compared to the other four models in terms of coefficient of determination (R2), average absolute relative deviation (%AARD) and mean absolute error (MAE) for the examined alkanes and refrigerants. We can conclude that the trained ML models can be utilized to predict thermophysical properties of alkanes and refrigerants accurately and quickly. Upon analysing the pairwise correlation coefficient matrix, it was evident that certain molecular features had a strong influence on individual thermophysical properties of alkanes as well as refrigerants.”
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    Researchers from Ecole de Technologie Superieure Report Recent Findings in Robotics (Influence of Machining Parameters On Dynamic Errors In a Hexapod Machining Cell)

    97-98页
    查看更多>>摘要：Researchers detail new data in Robotics. According to news reporting originating from Montreal, Canada, by NewsRx correspondents, research stated, “Dynamic errors from the robotic machining process can negatively impact the accuracy of manufactured parts. Currently, effectively reducing dynamic errors in robotic machining remains a challenge due to the incomplete understanding of the relationship between machining parameters and dynamic errors, especially for hexapod machining cells.” Funders for this research include Fonds de recherche du Quebec - Nature et technologies (FRQNT), Natural Sciences and Engineering Research Council of Canada (NSERC), Natural Sciences and Engineering Research Council of Canada (NSERC). Our news editors obtained a quote from the research from Ecole de Technologie Superieure, “To address this topic, a dynamic error measurement strategy combining a telescoping ballbar, an unscented Kalman filter (UKF), and particle swarm optimization (PSO) was utilized in robotic machining. The machining parameters, including spindle speed, cutting depth, and feeding speed, were defined using the Taguchi method. Simultaneously, vibrations during machining were also systematically measured to fully comprehend the nature of dynamic errors. Experimental results indicate that dynamic errors in a hexapod machining cell (HMC) are significantly amplified in machining setups, ranging from 4 to 20 times greater compared to those of non-machining setups. These errors are particularly influenced by machining parameters, especially for spindle speed. Furthermore, the extracted dynamic errors exhibit comparable frequency distributions, such as spindle frequency and tool passing frequency, to the vibration signals obtained at the chosen sampling rate.”
      原文链接:
    • NETL
    • NSTL
    • Springer Nature

    Researchers' Work from Taiyuan University of Science & Technology Focuses on Robotics (Influence On Polygon Effect With Characteristic Parameters of Guide Arc Branch of the Crawler Robot)

    97-97页
    查看更多>>摘要：Current study results on Robotics have been published. According to news reporting out of Shanxi, People’s Republic of China, by NewsRx editors, research stated, “Aiming at the problem of polygon effect vibration caused by unreasonable matching between track plate and chain link pitch of crawler robot in coal mine, a method is proposed to improve polygon effect by adjusting characteristic parameters of guide arc branch. First, the theory of polygon effect and vibration of chain link is analysed.” Funders for this research include National Natural Science Foundation of China (NSFC), Key R&D Projects in Shanxi Province. Our news journalists obtained a quote from the research from the Taiyuan University of Science & Technology, “Second, the virtual simulation experiments and discussion of the crawler robot with different guide arc branch parameters are carried out by RecurDyn. Finally, the external test is carried out.” According to the news editors, the research concluded: “The results show that with the increase of Dc and Lc, the contact forces between the observed track plate and the idler, and between the mountain damping pad and the road significantly decrease, the vibration displacement of vehicle body correspondingly decreases, and the vibration impact of the crawler robot is weakened, which provides theoretical reference for improving ride comfort of the crawler robot in coal mine.”
      原文链接:
    • NETL
    • NSTL
    • Inderscience Enterprises Ltd

    Findings from Nanjing University of Information Science and Technology (NUIST) Provides New Data on Robotics (A Variable Stiffness Soft Robotic Manipulator Based On Antagonistic Design of Supercoiled Polymer Artificial Muscles and Shape Memory ...)

    98-99页
    查看更多>>摘要：Research findings on Robotics are discussed in a new report. According to news reporting out of Nanjing, People’s Republic of China, by NewsRx editors, research stated, “This paper introduces a soft robotic manipulator with variable stiffness capability. A novel compact hybrid and antagonistic actuation method is proposed, inspired by the muscle structure of creatures/organs such as octopus and human wrist.” Financial supporters for this research include National Natural Science Foundation of China (NSFC), Shenzhen Science and Technology Program, Natural Science Foundation of Fujian Province, Sichuan Science and Technology Program. Our news journalists obtained a quote from the research from the Nanjing University of Information Science and Technology (NUIST), “The manipulator consists of three pairs of shape memory alloy (SMA) springs-supercoiled polymer (SCP) strings in an antagonistic configuration. Both SMA spring and SCP string are thermally actuated. When the two types of actuators are driven, they are tensioned to increase stiffness, and the variable stiffness feature of the manipulator is further amplified by the antagonistic configuration of the actuators. A kinematic modeling of the manipulator is conducted, extending the classic constant curvature approach to six-actuators case. The effectiveness of this hybrid antagonistic variable stiffness mechanism and in reducing hysteresis are demonstrated experimentally.”
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    New Findings from Beijing Institute of Technology in the Area of Machine Learning Described (Revisiting Thread Configuration of Spmv Kernels On Gpu: a Machine Learning Based Approach)

    99-100页
    查看更多>>摘要：Investigators discuss new findings in Machine Learning. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “Sparse matrix-vector multiplication (SpMV) optimization on GPUs has been challenging due to irregular memory accesses and unbalanced workloads. The majority of existing solutions assign a fixed number of threads to one or more rows of sparse matrices according to empirical formulas.” Financial support for this research came from National Natural Science Foundation of China (NSFC). Our news journalists obtained a quote from the research from the Beijing Institute of Technology, 99 “However, this method does not give the optimal thread configuration and results in a significant performance loss. This paper proposes a new machine learning-based thread assignment strategy for SpMV on GPU, predicting the near-optimal thread configuration for matrices. Further, we partition irregular sparse matrices into blocks according to the distribution of non-zero elements and predict the optimal thread configuration for each block. A new SpMV kernel is designed to accelerate the execution of different blocks. Experimental results show that our machine learning-based approach can select the near-optimal thread configuration for most matrices. The efficiency of SpMV for irregular matrices is also improved by matrix partitioning and blockwise prediction.”
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    New Findings in Machine Learning Described from Northeast Normal University (Prediction and Classification of Semg-based Pinch Force Between Different Fingers)

    100-101页
    查看更多>>摘要：New research on Machine Learning is the subject of a report. According to news reporting originating in Changchun, People’s Republic of China, by NewsRx journalists, research stated, “The movement of intelligent EMG-driven prosthesis mainly relies on the synergy of different fingers to achieve function of grasping objects. The paper proposes a novel scheme for force prediction and movement classification about pinch between different fingers based on surface electromyography (sEMG) using machine learning.” Financial support for this research came from Jilin Provincial Science and Technology Department. The news reporters obtained a quote from the research from Northeast Normal University, “The pinch force and sEMG signals are recorded synchronously by a data acquisition device. Eight features are extracted, which are proven to have better performance in the estimation of sEMG-to-force. We present a novel feature selection method that uses the one-dimensional time series similarity assessment based on Manhattan distance to eliminate the repetitive information between features. Three optimal features carrying less repetitive information are retained. Seven machine learning algorithms are used to predict 100 force strength. The results show that the Long Short Term Memory (LSTM) has the best performance of force prediction, achieving a R2 of 0.9517 and RMSE of 3.2723. The paper proposes a novel method of converting EMG feature sequences to the normalized gray image in order to classify the finger movement. Five classifiers based on image feature extraction and the Convolutional Neural Network (CNN) are developed respectively. The experimental results indicate that the CNN performs best, achieving an accuracy of 97.66%. In this way, it not only realizes the accurate force prediction, but also realizes the movement classification between different fingers.”
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    New Robotics Data Have Been Reported by Researchers at University of Essex (Hazardous Machinery: the Assignment of Agency and Blame To Robots Versus Non-autonomous Machines)

    101-102页
    查看更多>>摘要：Investigators publish new report on Robotics. According to news originating from Colchester, United Kingdom, by NewsRx correspondents, research stated, “Autonomous robots increasingly perform functions that are potentially hazardous and could cause injury to people (e.g., autonomous driving). When this happens, questions will arise regarding responsibility, although autonomy complicates this issue - insofar as robots seem to control their own behaviour, where would blame be assigned? Across three experiments, we examined whether robots involved in harm are assigned agency and, consequently, blamed.” Our news journalists obtained a quote from the research from the University of Essex, “In Studies 1 and 2, people assigned more agency to machines involved in accidents when they were described as ‘autonomous robots’ (vs. ‘machines’), and in turn, blamed them more, across a variety of contexts. In Study 2, robots and machines were assigned similar experience, and we found no evidence for a role of experience in blaming robots over machines. In Study 3, people assigned more agency and blame to a more (vs. less) sophisticated military robot involved in a civilian fatality. Humans who were responsible for robots’ safe operation, however, were blamed similarly whether harms involved a robot (vs. machine; Study 1), or a more (vs. less; Study 3) sophisticated robot.”
      原文链接:
    • NETL
    • NSTL
    • Elsevier

    Researchers Submit Patent Application, 'Tele-Operation Assistance System And Tele-Operation Assistance Method', for Approval (USPTO 20240051143)

    102-105页
    查看更多>>摘要：From Washington, D.C., NewsRx journalists report that a patent application by the inventors Dong, Yili (Wako-shi, JP); Manschitz, Simon (Offenbach/Main, DE); Ruiken, Dirk (Offenbach/ Main, DE); Watabe, Tomoki (Wako-shi, JP), filed on July 6, 2023, was made available online on February 15, 2024. No assignee for this patent application has been made. News editors obtained the following quote from the background information supplied by the inventors: “ “Field of the Invention “The present invention relates to a tele-operation assistance system and a tele-operation assistance method. “Description of Related Art “Technology has been proposed for controlling a robot by tele-operation by an operator (see, for example, Patent Document 1 below). “In such tele-operation, for example, the robot is remotely controlled by instructions from a sensor worn by the operator. The robot must perform a variety of tasks on a variety of objects in response to tele-operation instructions. “[Patent Document 1] Japanese Patent No. 6476358” As a supplement to the background information on this patent application, NewsRx correspondents also obtained the inventors’ summary information for this patent application: “However, the technology described in Patent Document 1 could not assist in diverse teleoperation tasks, in which a variety of tasks are performed on a variety of objects.
      原文链接:
    • NETL
    • NSTL

    Patent Issued for Articulation mechanisms for robotic surgical tools (USPTO 11896202)

    105-109页
    查看更多>>摘要：According to news reporting originating from Alexandria, Virginia, by NewsRx journalists, a patent by the inventors Beckman, Andrew T. (Cincinnati, OH, US), Markwardt, Neil (Redwood City, CA, US), Scheib, Charles J. (Loveland, OH, US), filed on June 18, 2020, was published online on February 13, 2024. The assignee for this patent, patent number 11896202, is Cilag GmbH International (Zug, Switzerland). Reporters obtained the following quote from the background information supplied by the inventors: “Minimally invasive surgical (MIS) instruments are often preferred over traditional open surgical devices due to the reduced post-operative recovery time and minimal scarring. The most common MIS procedure may be endoscopy, and the most common form of endoscopy is laparoscopy, in which one or more small incisions are formed in the abdomen of a patient and a trocar is inserted through the incision to form a pathway that provides access to the abdominal cavity. The cannula and sealing system of the trocar are used to introduce various instruments and tools into the abdominal cavity, as well as to provide insufflation to elevate the abdominal wall above the organs. The instruments can be used to engage and/or treat tissue in a number of ways to achieve a diagnostic or therapeutic effect.
      原文链接:
    • NETL
    • NSTL

    'Surround-View Imaging System' in Patent Application Approval Process (USPTO 20240053446)

    109-113页
    查看更多>>摘要：A patent application by the inventor Blasch, Ian (Boise, ID, US), filed on December 14, 2020, was made available online on February 15, 2024, according to news reporting originating from Washington, D.C., by NewsRx correspondents. This patent application is assigned to Jabil Optics Germany GmbH (Jena, Germany). The following quote was obtained by the news editors from the background information supplied by the inventors: “For 3D imaging systems or sensors which can depth image objects in a surrounding of the system, typically light/laser detection and ranging (LiDAR/LaDAR), time of flight (TOF, direct and indirect versions), amplitude or frequency modulated illumination, structured light, etc. are used. Such systems are found in autonomous mobile robots (AMRs), industrial mobile robots (IMRs), and automated guided vehicles (AGVs), lift trucks, forklifts, cars, drones, etc. to avoid collisions, to detect obstacles, for passenger monitoring and for observing keep-out-zones for machines and robots. These systems can also be used for collaborative robotics, security and surveillance camera applications.
      原文链接:
    • NETL
    • NSTL