Degradation-Aware Bi-Level Optimization of Second-Life Battery Energy Storage System Considering Demand Charge Reduction by Ali Hassan, Guilherme Vieira Hollweg, Wencong Su, Xuan Zhou, Mengqi Wang

“…In the proposed algorithm, the monthly layer (ML) calculates the optimal dispatch for the whole month and feeds the output to the daily layer (DL), which optimizes the BESS dispatch, BESSs’ degradation, and energy imported/exported from/to the grid. …”
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Adaptive Bacterial Foraging Optimization by Hanning Chen, Yunlong Zhu, Kunyuan Hu

“…Bacterial Foraging Optimization (BFO) is a recently developed nature-inspired optimization algorithm, which is based on the foraging behavior of E. coli bacteria. …”
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Surface Soil Organic Carbon Estimation Based on Habitat Patches in Southwest China by Jieyun Xiao, Wei Zhou, Ting Wang, Yao Peng, Zhan Shi, Saibo Li, Yang Li, Tianxiang Yue

“…This study proposed a new method using the partitioning around medoids clustering algorithm to partition the study area into distinct habitat patch types. …”
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Machine learning based on pangenome-wide association studies reveals the impact of host source on the zoonotic potential of closely related bacterial pathogens by Cheng Han, Shiying Lu, Pan Hu, Jiang Chang, Deying Zou, Feng Li, Yansong Li, Qiang Lu, Honglin Ren

“…Integrating these genes into an ML model based on the support vector machine (SVM) algorithm allows us to predict the zoonotic potential of various Brucella strains with high accuracy. …”
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New Method for Improving Tracking Accuracy of Aero-Engine On-Board Model Based on Separability Index and Reverse Searching by Hui Li, Yingqing Guo, Xinyu Ren

“…Compared with the method of introducing sample memory factors, the method proposed in this paper makes the self-tunning on-board model maintain higher tracking accuracy in the whole engine life, and the algorithm is simple enough for implementation. …”
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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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E-Commerce Logistics Software Package Tracking and Route Planning and Optimization System of Embedded Technology Based on the Intelligent Era by Dan Zhang, Zhiyang Jia

“…From the experimental results, in terms of average delivery time, the algorithm’s result was 25.95 hr, while the traditional algorithm was 32.53 hr; in terms of average distribution freight cost, the algorithm’s result was 163.3 yuan, while the traditional algorithm was 257.7 yuan; in terms of average distribution cost, this algorithm’s result was 131.53 yuan, while the traditional algorithm was 211.68 yuan. …”
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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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