Trajectory and communication scheduling optimization for the rechargeable UAV aided data collection system by Qianwen LI, Jianfeng CHEN, Miao CUI, Guangchi ZHANG

“…A rechargeable unmanned aerial vehicle (UAV) aided wireless sensor network was considered, which consists of multiple ground terminals with a large amount of time-sensitive data to be collected.Due to the limited battery capacity, the UAV cannot collect the data from all terminals through a single flight mission, and it needs to return to the charging pile to replenish its flight energy several times during the whole mission.The optimization of the terminal scheduling, trajectory, flight speed and transmission rate for the UAV was studied to maximize the number of terminals whose data had been collected within the data lifetime limit.Due to the variable coupling and the existence of discrete binary scheduling variables, the considered optimization problem is difficult to solve.To tackle such a difficulty, an efficient algorithm was proposed based on the stochastic optimization and the feature engineering.Specifically, the flight hover communication protocol was introduced to simplify the UAV flight process.And then a terminal scheduling algorithm was innovatively proposed with the influence factor and the stochastic preference, which extracted the features that affect the service time of the UAV, optimized the weights of the features, and further simplified the optimization problem into multiple subproblems.The subproblems were then solved by using the block coordinate descent and successive convex approximation techniques.Simulation results show that the proposed optimization algorithm achieves significant performance gains over several benchmark schemes in the scenarios with different data lifetime requirements and different numbers of ground terminals.…”
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Cobot Kinematic Model for Industrial Applications by Giorgio Figliolini, Chiara Lanni, Luciano Tomassi

“…Thus, a specific robotized cell that includes novel mechatronic devices has been designed and built at LARM (Lab. of Robotics and Mechatronics) in Cassino in order to experimentally validate the proposed algorithm. In particular, many experimental points to carry out the whole automatic cycle have been detected by using the corresponding teach-pendant tool and joint positions for different UR5e Cobot poses. …”
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What can we learn about multi-hazard impacts from global disaster records? by W. S. Jäger, M. C. de Ruiter, T. Tiggeloven, P. J. Ward, P. J. Ward

“…We conceptualise four archetypes (“the whole is greater than the sum of its parts”, “the whole equals the sum of its parts”, “one part determines the whole”, and “the whole and the parts are limited by total impact”) to describe these patterns and to guide the integration of multi-hazard interrelationships into risk assessments. …”
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Adaptive Parameter Identification of Battery Pack inElectric Vehicles with Real-Driving Signals by Chunling Du, Tomi Wijaya, Choon Lim Ho

“…The ECM parameter identification approach is developed by employing the NLMS (normalized least mean square) algorithm, which is an advanced adaptive algorithm having fast convergence rate and easier to be implemented. …”
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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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Optimal nodes selection in wireless sensor and actor networks based on prioritized mutual exclusion approach by VIRENDER RANGA, Mayank Dave, Anil K. Verma

“…We have proposed two algorithms, centralizedprioritized h-out-of-k mutual exclusion algorithm (CPMEA), and distributed prioritizedh-out-of-k mutual exclusion algorithm (DPMEA) in this research paper. …”
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The method for solving the multi-criteria linear-fractional optimization problem in integers by Alexadra Tkacenko

“…Theoretical justification of the algorithm as well as a solved example are brought to work. …”
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Insulation Aging Evaluation Method of High Voltage Cable Based on Dielectric Loss Characteristics by Tao Han, Wenhao Li, Zeping Zheng, Yanqing Li, Jia Chu, Chunlin Hao

“…Using a high-voltage amplifier and high-precision dielectric loss measurement algorithm, the dielectric loss values of whole cables at different aging stages are measured, and the physicochemical and electrical characteristics of XLPE slice samples at each aging stage are analyzed. …”
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Designing pathways for bioproducing complex chemicals by combining tools for pathway extraction and ranking by Anastasia Sveshnikova, Omid Oftadeh, Vassily Hatzimanikatis

“…The design and optimization of whole-cell biocatalysts for the production of these molecules requires metabolic modeling to extract production pathways from biochemical databases and integrate them into genome-scale models of the host. …”
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Distinctive Behaviors of Druggable Proteins in Cellular Networks. by Costas Mitsopoulos, Amanda C Schierz, Paul Workman, Bissan Al-Lazikani

“…The interaction environment of a protein in a cellular network is important in defining the role that the protein plays in the system as a whole, and thus its potential suitability as a drug target. …”
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Adaptive Topology Reconfiguration from an Actor Failure in Wireless Sensor-Actor Networks by Shengfeng Zhang, Xiaobei Wu, Cheng Huang

“…Wireless Sensor-Actor Network (WSAN) usually consists of numerous sensor nodes and fewer actors, and the connectivity of interactors is critical to the whole network. Due to the hash deployed environments and limited energy supply, actor nodes may fail and impact the performance of the whole network. …”
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Method of Graphs for Balancing of Chemical Equations. Teaching Guidelines by Georgi Gachev

“…The whole balancing process is entertaining and resembles solving a puzzle. …”
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CFD Commercial Software and Air Conditioning & Refrigeration by 谷现良, 赵加宁, 高军, 高甫生

“…On the whole, each of the software has its own merit and suitability. …”
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Comprehensive Research on Energy Saving Synergy Optimization and Optimal Real-time Control of Hybrid Electric Mining Trucks by Li Hongliang, Zhang Guojing, Fan Ping

“…This study takes the hybrid electric mining truck as a research object, establishes the mathematical model of the whole vehicle, takes reducing fuel consumption as the goal, establishes a collaborative optimization model that comprehensively considers the interaction between transmission system parameters and energy management strategies, and combines particle swarm optimization (PSO) algorithm and dynamic programming (DP) algorithm to build a two-layer interactive optimization algorithm to eliminate the interaction between transmission system parameters and energy management strategies. …”
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UAV-Enabled Inspection System With No-Fly Zones: DRL-Based Joint Mobile Nest Scheduling and UAV Trajectory Design by Jin Dai, Yunfei Gao, Chao Cai, Wei Xiong, Manjia Liu

“…Then we propose an efficient two-step optimization method that involves optimizing the UAV trajectory with a modified multi-step dueling DDQN (MSD-DDQN) algorithm and planning the mobile nest’s path using the A* algorithm. …”
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Swarm Robot Exploration Strategy for Path Formation Tasks Inspired by Physarum polycephalum by Yandong Luo, Jianwen Guo, Zhenpeng Lao, Shaohui Zhang, Xiaohui Yan

“…For the research of swarm robotics, our algorithm not only can lead multirobot as a whole to overcome the limitations of very simple individual agents but also can offer better performance in terms of search efficiency and success rate. …”
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Biomarker identification for rheumatoid arthritis with inadequate response to DMARD and TNF therapies using multidimensional analyses by Leyuan Li, Hui Guo, Weijin Zhang, Xi Xiang, Jun Chi, Mengmeng Zhang, Jiali Chen, Zhimin Wang, Liping Dai

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Optimal Assembly Position and Multi-objective Trajectory Optimization for Dual Robotic Arms Collaboration by Wang Tianrui, Tao Ping

“…Finally, based on the optimal position of flexibility, the multi-objective particle swarm algorithm is used to optimize the trajectory with the objectives of time, energy consumption and impact; by performing simulation analysis in the Matlab robot simulation platform, the results show that, by applying the flexibility index to the trajectory planning, it can improve the operation efficiency of the robotic arm, while reducing energy consumption and impact loss, and maintain a high degree of operability during the whole motion process, effectively avoiding the randomness of the traditional manual teaching method, thus realizing the optimal flexible trajectory planning for collaborative assembly of dual robotic arms.…”
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Cranial-thoracic trauma radiologic evaluation by G. N. Dorovskyh

“…A total of 343 polytrauma patients (109 of them with cranio-thoracic trauma) of Omsk city emergency hospital № 1 during 2009—2011 were retrospectively analyzed with regard to supplementary and new findings obtained by digital X-ray and whole body multispiral computer tomographie. The optimum algorithm of diagnostics of patients with a cranio-thoracic trauma is developed.…”
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A Multiswarm Optimizer for Distributed Decision Making in Virtual Enterprise Risk Management by Yichuan Shao, Xingjia Yao, Liwei Tian, Hanning Chen

“…Simulation results demonstrate that the PS2O algorithm is more feasible and efficient than the PSO algorithm in solving this real-world problem.…”
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