This is our latest selection of worldwide publications and patents in english on Kinematics, between many scientific online journals, classified and focused on kinematic, relative velocity, relative acceleration, trajectory, trajectories, Chebychev, Kutzbach, free fall, angular velocity, angular acceleration, projectile motion, average velocity and average acceleration.
Numerical Investigation of the Two-Phase Flow Characteristics of an Axisymmetric Bypass Dual-Throat Nozzle
Published on 2025-03-11 by Xuefeng Xia, Zhensheng Sun, Yu Hu, Hongfu Qiang, Yujie Zhu, Yin Zhang @MDPI
Abstract: The bypass dual-throat nozzle is based on the dual-throat nozzle, which is a fluidic thrust vector nozzle suitable for integration into rocket motors in a symmetrical manner. As the effects of gas–solid two-phase flows are essential for solid rocket motors (SRMs), this study employs the RNG k–ε turbulence model and a particle trajectory model to numerically simulate the three-dimensional flow field inside a fixed-geometry axisymmetric bypass dual-throa[...]
Our summary: Study simulates flow characteristics in bypass dual-throat nozzle using numerical methods. Results show impact of particle size on performance and deposition locations. Introduction of particle phase reduces thrust-vectoring angle and thrust coefficient.
Numerical Investigation, Two-Phase Flow, Axisymmetric Bypass Dual-Throat Nozzle, Turbulence Model
Publication
Takagi–Sugeno–Kang Fuzzy Neural Network for Nonlinear Chaotic Systems and Its Utilization in Secure Medical Image Encryption
Published on 2025-03-11 by Duc Hung Pham, Mai The Vu @MDPI
Abstract: This study introduces a novel control framework based on the Takagi–Sugeno–Kang wavelet fuzzy neural network, integrating brain imitated network and cerebellar network. The proposed controller demonstrates high robustness, making it an excellent candidate for handling intricate nonlinear dynamics, effectively mapping input–output relationships and efficiently learning from data. To enhance its performance, the controller’s parameters are fi[...]
Our summary: Novel control framework based on Takagi-Sugeno-Kang wavelet fuzzy neural network, high robustness, parameters fine-tuned using Lyapunov stability theory, superior learning capabilities and outstanding performance metrics, synchronization technique applied to secure transmission of medical images, experimental results confirm effectiveness and reliability.
Takagi-Sugeno-Kang, Fuzzy Neural Network, Secure Medical Image Encryption, Nonlinear Chaotic Systems
Publication
Effects of Unstable Exercise Using the Inertial Load of Water on Lower Extremity Kinematics and Center of Pressure During Stair Ambulation in Middle-Aged Women with Degenerative Knee Arthritis
Published on 2025-03-10 by Yuanyan Huang, Shuho Kang, Ilbong Park @MDPI
Abstract: Stair ambulation requires precise lower extremity control and postural stability. Middle-aged women with degenerative knee arthritis (DKA) are at an increased risk of falls, yet the effects of unstable load training on their postural stability remain underexplored. This study investigated the effects of a 10-week Aqua Vest-based unstable load training program on postural stability and pain during stair ambulation in middle-aged women with DKA. Thirty participants were randomly assigned to an exe[...]
Our summary: Effects of Aqua Vest-based unstable load training on postural stability and pain during stair ambulation in middle-aged women with DKA. Participants showed significant improvements in spatiotemporal and kinematic parameters, reduced pain levels, and enhanced postural stability.
unstable load training, lower extremity kinematics, center of pressure, degenerative knee arthritis
Publication
Comparison of Single-Arm and Dual-Arm Collaborative Robots in Precision Assembly
Published on 2025-03-10 by Katarzyna Peta, Marcin Wi?niewski, Miko?aj Kotarski, Olaf Ciszak @MDPI
Abstract: The aim of the study is a multi-criteria comparative evaluation of robots cooperating with humans in single- and dual-arm variants used for the process of precise assembly of complex parts. RobotStudio simulation software with the Signal Analyzer add-on was used for comparative analyses. These studies were conducted as case studies. A robotic station was designed for the assembly of a computer motherboard and two robot variants were programmed to perform the assembly task while maintaining the s[...]
Our summary: Study compares single-arm and dual-arm collaborative robots in precision assembly using RobotStudio simulation software. Analysis includes TCP motion trajectories, monitoring signals, costs, and profitability. Dual-arm robot proved to be faster and more profitable in the long run.
Collaborative Robots, Precision Assembly, RobotStudio, Comparative Evaluation
Publication
A Prediction of the Shooting Trajectory for a Tuna Purse Seine Using the Double Deep Q-Network (DDQN) Algorithm
Published on 2025-03-10 by Daeyeon Cho, Jihoon Lee @MDPI
Abstract: The purse seine is a fishing method in which a net is used to encircle a fish school, capturing isolated fish by tightening a purse line at the bottom of the net. Tuna purse seine operations are technically complex, requiring the evaluation of fish movements, vessel dynamics, and their interactions, with success largely dependent on the expertise of the crew. In particular, efficiency in terms of highly complex tasks, such as calculating the shooting trajectory during fishing operations, varies [...]
Our summary: Prediction of shooting trajectory for tuna purse seine using DDQN algorithm, Supporting less experienced fishers in complex fishing operations, Developing trajectory prediction system for purse seine fishing automation.
Double Deep Q-Network (DDQN), Shooting Trajectory, Tuna Purse Seine, Fishing Operations
Publication
Future Path Presentation to Passengers of an Autonomous Wheelchair Using Vibrotactile Feedback
Published on 2025-03-10 by Yusuke Higashi, Hiroyuki Takai, Tetsushi Ikeda @MDPI
Abstract: While autonomous wheelchairs reduce the burden on passengers, automation can make it difficult for them to anticipate the future path of the wheelchair, potentially causing anxiety or discomfort due to unexpected movements. In this study, we define “path” as the geometric trajectory of the wheelchair position, without considering temporal aspects. Providing passengers with information about this future path is crucial, particularly when multiple pedestrians or obstacl[...]
Our summary: Future path presentation using vibrotactile feedback on autonomous wheelchair improves passenger understanding and sense of security by conveying both direction and width of turns.
autonomous wheelchair, vibrotactile feedback, path presentation, haptic apparent motion
Publication
Modular origami shape-morphing soft exoskeletal legged robot
Patent published on the 2025-03-06 in WO under Ref WO2025050021 by THE REGENTS OF THE UNIV OF COLORADO A BODY CORPORATE [US] (Jayaram Kaushik [us], Kabutz Heiko [us])
Abstract: A body compliant quadrupedal micro-robot with four independently actuated leg modules, each having two degrees-of-freedom driven by piezoelectric actuators. The legs are interconnected in a closed kinematic chain via passive body joints enabling passive body compliance and passive adaptation to external constraints. The robot has multiple capabilities including omnidirectionality and confined terrain locomotion. The robot has an unconstrained top speed of approximately three body lengths per sec[...]
Our summary: Body compliant quadrupedal micro-robot with independently actuated leg modules driven by piezoelectric actuators, interconnected in closed kinematic chain for passive body compliance and adaptation to external constraints, capable of omnidirectionality and confined terrain locomotion, with top speed of three body lengths per second and ability to navigate narrow spaces with body compression ratio of up to one-and-a-half times neutral body shape.
Modular origami, shape-morphing, soft exoskeleton, legged robot
Patent
Adaptive fault prediction
Patent published on the 2025-03-06 in WO under Ref WO2025049459 by THE REGENTS OF THE UNIV OF MICHIGAN [US] (Toothman Maxwell [us], Moyne James [us], Tilbury Dawn [us], Barton Kira [us])
Abstract: A state-based framework is the basis for a methodology for predicting faults in industrial equipment or processes during multi-stage degradation. The methodology is based on an object-oriented scheme that allows system experts to identify signal trajectory classes that may occur during degradation. The methodology uses recent observations of a signal feature (x) to estimate the current health stage of a system and extrapolates signal trajectories forward in time to obtain probabilistic fault tim[...]
Our summary: Adaptive fault prediction methodology based on a state-based framework and object-oriented scheme allows system experts to identify signal trajectory classes during degradation, estimate system health stage using recent observations, and extrapolate signal trajectories for probabilistic fault time estimates. The framework incorporates subject matter expertise, reducing the need for historical training data and includes an anomaly detection sub-process for identifying deviations in signal trends.
fault prediction, state-based framework, object-oriented scheme, signal trajectory classes
Patent
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