Mathematical mapping analysis method of multi-power system coupled with planetary gears by GUI Jingliang, JIA Yanyan, REN Wei, PAN Zhenfeng, ZHANG Rongbin

“…ObjectiveIn order to quantitatively work out operating parameters and relation of parts of multi-power system coupled with planetary gears, a mathematical mapping analysis method was proposed.MethodsThe method was discussed by analyzing the hybrid system coupled with planetary gears of a truck; the kinematic and mechanical relations of parts of the system were deduced; a mathematical map was constructed with Matlab software; the switching order of modes and the path planning in start-up acceleration were quantitatively analyzed; the optimal cruising fuel consumption under different slopes and speeds was quantitatively analyzed; based on the above analysis, three system architecture optimizations were proposed, and compared to the original system in performance with simulation.ResultsThe switching order of modes, the path planning and the optimal fuel consumption point under cruising conditions can be intuitively and quantitatively figured out. …”
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Research on High-Precision Motion Planning of Large Multi-Arm Rock Drilling Robot Based on Multi-Strategy Sampling Rapidly Exploring Random Tree* by Qiaoyu Xu, Yansong Lin

“…This mechanism flexibly applies three sampling methods at different stages of path planning, significantly improving the adaptability and search efficiency of the RRT* algorithm. …”
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Research on autonomous navigation of mobile robots based on IA-DWA algorithm by Quanling He, Zongyan Wang, Kun Li, Yuting Zhang, Menglong Li

“…Then, the length of time and convergence speed of path planning are compared and simulated in raster maps of different complexity. …”
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Trajectory Planning for Autonomous Vehicles at Intersections Based on the Spatial Structure by Jiangyan Gu, Shan He, Yu Li, Qunzhi Shi, Shen Ying

“…Then, the cubic quasiuniform Basis-spline (B-spline) curve and cost function are applied to generate the optimal, static-obstacle-free path. In the subsequent speed planning stage, the traffic rule of conflict points is used to generate the reference speed, and quadratic programming is applied to generate the dynamic-obstacle-free speed curve in the spatiotemporal (ST) graph. …”
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Configuration analysis of crop-pollination service management: a novel insight from the theory of planned behavior. by Hongkun Zhao, Yaofeng Yang, Yajuan Chen, Huyang Yu, Zhuo Chen, Zhenwei Yang

“…The data is analyzed by using regression analysis, necessary condition analysis, fuzzy-set qualitative comparative analysis (NCA-fsQCA), and independent sample T test, and the findings reveal that education level and agricultural acreage are positively correlated with CPSM; there are three causal configurations to enhance CPSM: AT & PBC path, AT & Economic Incentive path, and PBC & Economic Incentive path; the contrasting effects of antecedent variables on different groups of principles of CPSM; the optimal state of CPSM requires at least Economic Incentive $1900.27. …”
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Enhancing Heterogeneous Communication for Foggy Highways Using Vehicular Platoons and SDN by Hafiza Zunera Abdul Sattar, Huma Ghafoor, Insoo Koo

“…Considering this, we propose a heterogeneous communication protocol in a software-defined vehicular network to establish an optimal routing path using platoons on foggy highways. …”
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Altered Small-World Networks in First-Episode Schizophrenia Patients during Cool Executive Function Task by Zongya Zhao, Yaqing Cheng, Zhenxin Li, Yi Yu

“…Results indicated that the graph theoretical measures of the theta band showed obvious difference between SZ patients and healthy controls. …”
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The Influence of Friction Parameters and Material Type on Results in the Block-on-Ring Friction System by Marcin Madej, Beata Leszczyńska-Madej

“…As the tests were carried out under technically dry friction conditions, it was possible to capture both the effect of the running-in period and the stable friction path. The tests showed that the alloys tested over the longer friction distance of 250 m responded differently to a change in parameters, with alloy B83 showing a sinusoidal variation in wear resistance with a maximum at medium speed, whereas alloy B89 is characterized by a continuous increase in wear with increasing speed. …”
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Investigation of Ultrasonic Flowmeter Error in Distorted Flow Using Two-peak Salami Functions by Fedir Matiko, Vitalii Roman, Halyna Matiko, Dmytro Yalinskyi

“…The location coordinates of acoustic paths were calculated for their number from 1 to 6 according to the different numerical integrating methods: Gauss (Gauss-Legendre, Gauss-Jacobi), Chebyshev (equidistant location of acoustic paths), Westinghouse method, method of OWICS (Optimal Weighted Integration for Circular Sections). …”
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Multi-Task Reinforcement Learning Based on Parallel Recombination Networks by Manlu Liu, Qingbo Zhang, Weimin Qian

“…The proposed method efficiently learns the relationships between tasks from parallel recombination networks and determines the optimal path for a task through a weight network. …”
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Link-disjoint routing algorithm under multiple additive QoS constraints by XIONG Ke1, QIU Zheng-ding1, ZHANG Yu1, ZHANG Hong-ke3

“…The problem of finding link-disjoint paths under multiple additive QoS constraints was studied.Since the existing algorithms depended on network’s structure and could not guarantee to find feasible solutions for arbitrary net-works,a novel algorithm called multiple constrained link-disjoint path routing algorithm（MCLPRA） was proposed.MCLPRA was based on SAMCRA and didn’t rely on the network’s structure.By introducing the parameter to control its search depth,dividing the solution space into different classes and performing searching according to the classes respectively,MCLPRA was able to obtain the feasible solutions for arbitrary networks.Theoretic analysis shows that MCLPRA can get the feasible and optimal solutions when traditional schemes can not.Comprehensive simulations also show that MCLPRA has better performances than existing algorithms in terms of higher average successful rate of getting feasible solutions with shorter average total length of the obtained path pair.…”
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Survey of QoS Routing Protocols in Wireless Multimedia Sensor Networks by Shailendra Aswale, Vijay R. Ghorpade

“…The performance of QoS routing depends upon the selection of an optimal path or paths. Path selection is based on evaluation of a cost function using various routing metrics. …”
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Dynamic Scene Stitching Driven by Visual Cognition Model by Li-hui Zou, Dezheng Zhang, Aziguli Wulamu

“…The cutting energy function for column width selections is defined according to the proposed visual cognition model. The optimum cut path can minimize the cognitive saliency difference throughout the whole video volume. …”
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A Compact Wideband Millimeter-Wave Crossover for Phased Array Antenna Systems in Remote Sensing Applications by Fayyadh H. Ahmed, Rola Saad, Salam K. Khamas

“…The design introduces two transition mechanisms to achieve optimal scattering parameters for the crossover: a stair-shaped microstrip line (MST) to ground-backed coplanar waveguide (GCPW) for the initial crossed line (Path 1), and vertical coupling between microstrip and coplanar hourglass microstrip patches on a single-layer substrate for Path 2. …”
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Sensitivity Improvement of Optical Computed Tomography Scanners for Scanning Gel Dosimeters by Aza Ismael Abdi

“…Since OCT systems are used for scanning different gel dosimeters, a mono-energy light source would not lead to optimal performance. …”
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AutoStageMix: Fully Automated Stage Cross-Editing System Utilizing Facial Features by Minjun Oh, Howon Jang, Daeho Lee

“…Subsequently, a cost function is defined to facilitate the creation of cross-edited sequences. The optimal editing path is computed using Dijkstra’s algorithm to minimize the total cost of editing. …”
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Adaptive Control Algorithm for Trajectory Tracking of Underactuated Unmanned Surface Vehicle (UUSV) by Chandanlal Karnani, Syed Akhter Raza, Muhammad Asif, Muhammad Ilyas

“…The ability to track the trajectory or path on the sea surface remains a key measurement in the control system of an unmanned surface vehicle (USV). …”
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Wireless Sensor Networks Energy Effectively Distributed Target Detection by Xiaogang Qi, Peng Wei, Lifang Liu, Mande Xie, Guoyong Cai

“…The detected information is aggregated in the aggregating node, and the optimal path by the second algorithm is built up to transmit the aggregated packets to the sink. …”
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Research on deep reinforcement learning based intelligent shop scheduling method by Zihui LUO, Chengling JIANG, Liang LIU, Xiaolong ZHENG, Huadong MA

“…The unprecedented prosperity of the industrial internet of things (IIoT) has opened up a new path for the traditional industrial manufacturing model.Intelligent shop scheduling is one of the key technologies to achieve the overall control and flexible production of the whole production process.It requires an effective plan with a minimum makespan to allocate multiple processes and multiple machines for production scheduling.Firstly, the shop scheduling problem was defined as a Markov decision process (MDP), and a shop scheduling model based on the pointer network was established.Secondly, the job scheduling process was regarded as a mapping from one sequence to another, and a new shop scheduling algorithm based on deep reinforcement learning (DRL) was proposed.By analyzing the convergence of the model under different parameter settings, the optimal parameters were determined.Experimental results on different scales of public data sets and actual production data sets show that the proposed DRL algorithm can obtain better performances.…”
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Energy Efficient and High Capacity Tradeoff in Distributed Antenna System for a Green Cellular Network by Mehran Behjati, Mohammed H. Alsharif, Rosdiadee Nordin, Mahamod Ismail

“…Furthermore, the EE and system power consumption are investigated under three different cell-load scenarios (high, moderate, and low load) where different numbers of antennas are activated and remaining of antennas are under sleep mode. …”
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