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    Recent Findings in Robotics Described by Researchers from Yanshan University (Kinematics Analysis of 6-degrees-of-freedom Parallel Plus Serial Type Hybrid Mechanisms Containing Parallel Mechanism With High Coupling Motions)

    38-39页
    查看更多>>摘要:New research on Robotics is the subject of a report. According to news reporting from Hebei, People’s Republic of China, by NewsRx journalists, research stated, “The existing displacement of parallel + serial type hybrid mechanisms is mainly solved by the equivalent serial mechanism (SM) method. However, a large number of lower mobility parallel mechanisms (PMs) that have high coupled motions at the end-effector cannot be equivalent to SMs.”

    Study Data from Guangdong Academy of Science Provide New Insights into Robotics (Uncertainty-aware Error Modeling and Hierarchical Redundancy Optimization for Robotic Surface Machining)

    39-40页
    查看更多>>摘要:Investigators publish new report on Robotics. According to news originating from Guangzhou, People’s Republic of China, by NewsRx correspondents, research stated, “Industrial robots are commonly utilized in in-situ machining, but their inherent limitations in stiffness and positioning accuracy can pose challenges in achieving precise freeform surface milling. Previous research primarily focused on robot stiffness optimization and positioning error prediction separately, neglecting the uncertainty of robot errors and the modeling of surface profile errors.”

    Reports Outline Robotics Findings from Jiangsu University (A Convex Optimization Method To Time-optimal Trajectory Planning With Jerk Constraint for Industrial Robotic Manipulators)

    40-40页
    查看更多>>摘要:Investigators publish new report on Robotics. According to news reporting originating in Zhenjiang, People’s Republic of China, by NewsRx journalists, research stated, “This paper proposes a convex time-optimal trajectory planning method for industrial robotic manipulators with jerk constraints. To achieve smooth and efficient trajectories, the square of the pseudo velocity profile is constructed using a cubic uniform B-spline, and a linear relationship is defined with the control points of the B-spline to preserve convexity in the pseudo states.”

    Research from Institute of Engineering Provide New Insights into Artificial Intelligence (Algorithms for improving models of optimal control for multi-parametric technological processes based on artificial intelligence)

    41-41页
    查看更多>>摘要:Current study results on artificial intelligence have been published. According to news reporting out of the Institute of Engineering by NewsRx editors, research stated, “This article highlights scientific approaches to solving problems that arise in the development of models for optimal control of multiparameter technological processes.” Our news journalists obtained a quote from the research from Institute of Engineering: “In particular, at the modeling specification stage, the necessity of developing artificial intelligence algorithms aimed at creating derivative parameters and ensuring their effectiveness for the optimal parametric and structural formulation of the problem is revealed. It is justified that the creation of neural rules is a relatively simple process in improving the formal model of complex systems using combinatorial derivatives of the relationships of significant elements over the full range. Usually, in the modeling of sufficiently complex, multi-parameter, uncertain technological systems, it is impossible to fully cover all the elements of the system that can have a strong influence on its reaction. There are several reasons for this.”

    Department of Mechanical Engineering Researcher Updates Current Study Findings on Artificial Intelligence (Application of artificial intelligence to investigate the performance and flow pattern near staggered piece in V-ribs with aligned gaps ...)

    41-42页
    查看更多>>摘要:Fresh data on artificial intelligence are presented in a new report. According to news reporting out of Bhopal, India, by NewsRx editors, research stated, “The present work findings of an experimental investigation on a rectangular duct used in a solar air heater (SAH) to increase heat transfer and frictional characteristics and improve flow near the roughness.” “The rough SAH surface is created by staggered V-ribs and aligned gaps. For Reynolds numbers 3000- 14,000, relative gap breadth (g/e) is changed from 2 to 5, while other parameters are maintained constant: relative roughness pitch (P/e) = 10, relative staggered rib position (P’/P) = 0.4, relative staggered rib size (w/g) = 1, and relative roughness height (e/Dh) = 0.0434. The Nusselt number (Nu) and friction factor (f) are found as 2.16 and 2.73 times higher than a flat plate under the identical operating and flow conditions. The overall augmented behavior of rough SAH considering frictional characteristics is calculated in terms of Thermal enhancement factor (TEF) as 1.56. The impact of gap width on flow pattern is examined by using ANSYS Academic Research CFD 15.0.

    Findings from Institute for Biomedical Informatics in Machine Learning Reported (Voxel-wise Medical Images Generalization for Eliminating Distribution Shift)

    42-43页
    查看更多>>摘要:New study results on artificial intelligence have been published. According to news reporting from the Institute for Biomedical Informatics by NewsRx journalists, research stated, “Nowadays, more and more machine learning methods are applied in the medical domain. Supervised Learning methods adopted in classification, prediction, and segmentation tasks for medical images always experience decreased performance when the training and testing datasets do not follow the i.i.d(independent and identically distributed) assumption.”

    Reports Summarize Robotics Study Results from Technical University Munich (TU Munich) (Tactile-based Negotiation of Unknown Objects During Navigation In Unstructured Environments With Movable Obstacles)

    43-44页
    查看更多>>摘要:Investigators publish new report on Robotics. According to news reporting out of Munich, Germany, by NewsRx editors, research stated, “Traditional robot navigation passively plans/replans to avoid any contact with obstacles in the scene. This limits the obtained solutions to the collision-free space and leads to failures if the path to the goal is obstructed.” Financial support for this research came from Deutsche Forschungsgemeinschaft. Our news journalists obtained a quote from the research from Technical University Munich (TU Munich), “In contrast, humans actively modify their environment by repositioning objects if it assists locomotion. This article aims to bring robots closer to such abilities by providing a framework to detect and clear movable obstacles to continue navigation. The approach leverages a multimodal robot skin that provides both local proximity and tactile feedback regarding physical interactions with the surroundings. This multimodal contact feedback is employed to adapt the robot’s behavior when interacting with object surfaces and regulating applied forces. This enables the robot to remove bulky obstacles from its path and solves otherwise infeasible navigation problems. The system’s ability is demonstrated in simulation and real-world scenarios involving movable and nonmovable obstacles. During locomotion, humans leverage their ability to move objects if it helps reach obstructed goals. This work aims to bring robots closer to such abilities by providing a framework that detects and clears movable obstacles to solve otherwise infeasible navigation problems.”

    Investigators from University of Birmingham Release New Data on Intelligent Transport Systems (An Improved Energy-efficient Driving Strategy for Routes With Various Gradients and Speed Limits)

    44-45页
    查看更多>>摘要:Investigators publish new report on Transportation - Intelligent Transport Systems. According to news reporting out of Birmingham, United Kingdom, by NewsRx editors, research stated, “With the increasing concerns about railway energy efficiency, two typical driving strategies have been used in actual train operation. One includes a sequence of full power traction, cruising, coasting, and full braking (CC).” Our news journalists obtained a quote from the research from the University of Birmingham, “The other uses coasting-remotoring (CR) to replace cruising in CC. However, energy-saving performance by CC and CR, which can be affected by route parameters of gradients and speed limits, has not been fully compared and studied. This paper analyses the energy distribution of CC and CR considering various route parameters and proposes an improved strategy for different gradients and speed limits. The detailed energy flow of CC and CR is analysed by Cauchy-Bunyakovsky-Schwarz inequality and the generalised Holder’s inequality, and then, a novel driving strategy CC_CR is designed. To verify the theoretical results and the effectiveness of the proposed strategy, three simulators with CC, CR, and CC_CR driving modes have been developed and implemented into case studies of four scenarios as well as a real-world metro line. Simulation results demonstrate that CR can only outperform CC on routes with steep downhill and CC_CR is always the best strategy. The energy savings of CC_CR can be as much as 15% more than CR and 42% greater than CC.”

    Fuwai Hospital Reports Findings in Blood Transfusion (Development and validation of a machine learning prediction model for perioperative red blood cell transfusions in cardiac surgery)

    45-46页
    查看更多>>摘要:New research on Transfusion Medicine - Blood Transfusion is the subject of a report. According to news reporting out of Beijing, People’s Republic of China, by NewsRx editors, research stated, “Several machine learning (ML) models have been used in perioperative red blood cell (RBC) transfusion risk for cardiac surgery with limited generalizability and no external validation. Hence, we sought to develop and comprehensively externally validate a ML model in a large dataset to estimate RBC transfusion in cardiac surgery with cardiopulmonary bypass (CPB).”

    New Findings from Koneru Lakshmaiah Education Foundation in the Area of Machine Learning Published (Momentum Iterative Fast Gradient Sign Algorithm for Adversarial Attacks and Defenses)

    46-47页
    查看更多>>摘要:Data detailed on artificial intelligence have been presented. According to news originating from Vaddeswaram, India, by NewsRx correspondents, research stated, “Deep neural networks (DNNs) are particularly vulnerable to adversarial samples when used as machine learning (ML) models.” The news correspondents obtained a quote from the research from Koneru Lakshmaiah Education Foundation: “These kinds of samples are typically created by combining real-world samples with low-level sounds so they can mimic and deceive the target models. Since adversarial samples may switch between many models, black-box type attacks can be used in a variety of real-world scenarios. The main goal of this project is to produce an adversarial assault (white box) using PyTorch and then offer a defense strategy as a countermeasure. We developed a powerful offensive strategy known as the MI-FGSM (Momentum Iterative Fast Gradient Sign Method). It can perform better than the I-FGSM because to its adaptation (Iterative Fast Gradient Sign Method). The usage of MI-FGSM will greatly enhance transferability.”