A Novel Model-Free Intelligent Proportional-Integral Supertwisting Nonlinear Fractional-Order Sliding Mode Control of PMSM Speed Regulation System by Peng Gao, Xiaodong Lv, Huimin Ouyang, Lei Mei, Guangming Zhang

“…Then, this study presents the novel hybrid MF-iPI-ST-NLFOSMC strategy which integrates the model-free ST-NLFOSMC strategy, the model-free iPI control strategy, and the LESO. …”
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Two-in-One Diasporas? Comparing and Contrasting Migration Management in France and Canada by Eve Bantman

“…This issue is addressed in this comparative review of two models of public policy: Canada’s strategy for Francophone Immigration and France’s promotion of international mobility. …”
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Traffic-Responsive Signal Control at Intersections Using Real-Time Data of Vehicles Connected via V2X Communication by Hyung Geun Park, Sunghoon Kim, Taehyung Kim

“…Therefore, this paper proposes a traffic signal control strategy that utilizes V2X communication data obtained from CV operations, which is called the capacity waste reduction (CWR) strategy. …”
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Cognitive network channel allocation method based on the queuing delay and game analysis by Jun LIU, Xiu-feng XIE

“…A new dynamic spectrum allocation method for distributed cognitive radio networks was proposed.In the method,packet transmission success rate is chosen as the utility function,the transmission delay is resolved by the priority queuing model,and the user’s channel allocation strategy is achieved by distributed game.Compared with other algorithms,the policy iteration process is improved effectively,and a dynamic strategy adjustment step is adopted.Each network user dynamically adjust their channel choose strategy based on current perception of the remaining user’s strategy.The proposed algorithm lets channel selection strategy converge more quickly to equilibrium point,and effectively suppresses the policy shocks.The simulation results validate the proposed algorithm.…”
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Strategic portfolio rebalancing: Integrating predictive models and adaptive optimization objectives in a dynamic market by Adeline Clarissa, Deddy Priatmodjo Koesrindartoto

“…Adjusting investment strategy is one of the ways to handle dynamic market conditions. …”
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CHANGE OF THE ROLE OF THE OIL COMPLEX IN STRUCTURE OF WORLD POWER BALANCE IN THE CONDITIONS OF GLOBALIZATION OF INTERNATIONAL ECONOMIC RELATIONS by E. Makhankov

“…In the article features of formation of global strategy of the largest Russian oil companies are estimated. …”
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Research on Flexible Resource Dynamic Interactive Regulation Technology for Microgrids with High Permeable New Energy by Songsong Chen, Lutao Zhang, Ying Zhou, Ke Chen, Zhongdong Wang, Lihui Xie

“…The second layer adopts the HDQC allocation strategy, which solves the problem of low utilization of new energy in the proportional allocation method and improves the adaptability of the regulation strategy in the complex stochastic environment. …”
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Design of a Robust Coordinated Power Oscillation Damper for Use with Large-Scale Wind Energy System Connected to a Multimachine Power System by Paul Kabiru, Keren Kaberere, Stanley Kamau

“…What is more, the use of strategy with a low computational burden to enhance the robustness of coordinated strategy for the design of damping controllers is rare. …”
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Distributed interference coordination based on multi-agent deep reinforcement learning by Tingting LIU, Yi’nan LUO, Chenyang YANG

“…A distributed interference coordination strategy based on multi-agent deep reinforcement learning was investigated to meet the requirements of file downloading traffic in interference networks.By the proposed strategy transmission scheme could be adjusted adaptively based on the interference environment and traffic requirements with limited amount of information exchanged among nodes.Simulation results show that the user satisfaction loss of the proposed strategy from the optimal strategy with perfect future information does not exceed 11% for arbitrary number of users and traffic requirements.…”
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The Evaluation of Conceptual Learning and Epistemological Beliefs on Physics Learning by Think-Pair-Share by Tolga Gok

“…The purpose of the research was to investigate the effects of think pair share (TPS) instructional strategy on students' conceptual learning and epistemological beliefs on physics and physics learning. …”
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A Tripartite Game-Theory-Based Cooperation Mechanism for the Electronic Warehouse Receipt Pledge Financing Mode by Junwei Jia, Haoyue Zhang, Qi Wang

“…However, heterogeneity exists in the influencing factors for the three-party selection strategy in the game, which is manifested in the fact that the higher the realization rate of the pledge, the more evolution is required in the selection strategy for loan enterprises to continue cooperating. …”
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Traffic evaluation and modeling for spatio-temporal slicing based VR panoramic video transmission by Shengqian HAN, Han LOU, Junlai WANG

“…To characterize the traffic load of virtual reality (VR) panoramic video under the spatio-temporal slicing transmission mode, firstly, based on a real-word VR video viewing dataset, the relationship between the traffic load and the spatio-temporal slicing strategy was evaluated via simulations.Secondly, on the basis of the simulation results, a statistical traffic model was established, describing the interaction between the traffic load and the number of spatial tiles as well as the duration of temporal chunks.Finally, based on the established model, a hierarchical spatial-temporal slicing strategy optimization method was proposed, where the outer layer found the optimal number of spatial tiles by exhaustive searching while the inner layer could directly compute the optimal duration of temporal chunks.Research and simulation results show that the traffic load approximately follows a normal distribution, where the mean and variance are functions of the spatio-temporal slicing strategy.By establishing the traffic model for each type of videos, the optimized slicing strategy based on the established model performs close to the optimal strategy obtained by searching by simulations.…”
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Strategic insights into penalty kick execution: A comprehensive analysis of observable behaviors in the German Bundesliga by Pascal Feber, Guilherme Pinheiro

“…This study aimed to investigate which observable variables would be able to predict the penalty taker strategy; and to identify the prevalence of the penalty taker strategy in successful penalty kicks. …”
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Power management of cluster-based DC microgrid system for remote areas by Agustinus Yudhistira Wicaksono Setyanto, Arwindra Rizqiawan, Tri Ardiani

“…To ensure that the system fulfills the electricity needs, a power management strategy is proposed in this paper. The strategy is based on the voltage and battery SoC as the system's local parameters in a decentralized manner. …”
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Optimal control and Cost-Effectiveness Analysis of Taeniasis and Cysticercois in Humans, Pigs and Cattle. by Joshua, A. Mwasunda, Jacob I, Irunde, Damian, Kajunguri, Dmitry, Kuznetsov

“…However, cost-effectiveness analysis results show that a strategy which excludes vaccination of pigs and cattle is the most cost-effective strategy for disease control. …”
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The Impact of Business Strategic Orientation on Innovation-Driven Mergers and Acquisitions: An Empirical Study by Zhuozhu Liu, Yiran Li, Zhaoyang Zhang, Rongying Zhao

“…Besides, the firms that conduct prospective business strategies are more likely to have a higher innovation level than firms operating defensive business strategies. …”
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Path planning algorithm for WCE with joint energy replenishment and data collection based on multi-objective optimization by Zhenchun WEI, Renhao SUN, Zengwei LYU, Jianghong HAN, Lei SHI, Junyi XU

“…Considering limited energy of the wireless charging equipment (WCE) in wireless rechargeable sensor network,an energy replenishment strategy and a data collection strategy are designed.On the basis of these,a path planning model for WCE with functions of joint energy replenishment and data collection based on multi-objective optimization is constructed with two optimization objectives,maximizing the total energy utility of WCE and minimizing the average delay of data transmission of all the sensor nodes in the network.To deal with it,a multi-objective ant colony optimization algorithm based on elitist strategy was proposed,where the state transition strategy and the pheromone updating strategy were improved.Then,the Pareto set was obtained in terms of this multi-objective optimization problem.The parameter setting of ant colony algorithm’s effects on the proposed algorithm were analyzed under 20 sensor nodes.50 groups of contrastive experiments show that the average number of energy utilization obtained by ES-MOAC algorithm is 4.53% higher than that of NSGA-II algorithm.The average number of average delay of all node data transmission obtained by ES-MOAC algorithm is 5.12% lower than that of NSGA-II algorithm.…”
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Deep Learning Based Proactive Caching for Effective WSN-Enabled Vision Applications by Fangyuan Lei, Jun Cai, Qingyun Dai, Huimin Zhao

“…Compared with the classic caching strategy Hash + LRU, Betw + LRU, and classic prediction algorithms SVM and BPNN, the proposed PCDS2AW proactive caching strategy can significantly improve WSN performance.…”
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Research on In-Network Caching Mechanisms for Space-Integrated-Ground Content Delivery Service by Yang CAO, Yufeng ZHU, Junfeng LV, Tao JIANG, Peng GAO, Dongchen ZHANG

“…In view of the problem of satellite mobility and terrestrial network resource constraints, a pre-placement strategy for terrestrial network content based on named data networking was proposed; Then, local content requests under the coverage of multiple base stations was fully considered.Based on the diff erence in distribution, a content distribution strategy based on fairness in satellite networks was proposed.The numerical results showed that the proposed content pre-placement strategy was eff ective in terms of satellite network content injection.In addition, in terms of satellite network content distribution, the proposed fair-based content distribution strategy could maximized content satisfaction.…”
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TTDSP:A Cost-Effective Approach to Tracking Tuple in Data Stream Processing by Huaming Du, Peng Zhang, Kefu Xu, Jianlong Tan, Yan Li

“…The traditional data stream processing systems will keep all the tuples in the memory until they have been processed in order to provide reliable tuple processing.Unfortunately,the strategy will take up much memory.To address this issue,a cost-effective approach to tracking tuples-TTDSP was proposed.The approach includes three strategies,namely memory allocation strategy,tuple acker selection strategy and checksum updating strategy,which make tuple acker to keep only the XOR checksum not the tuple in memory.Moreover,the tuple acker are load balancing through the improved consistent Hash.The experiments on memory overhead and load balancing show that this approach is able to track and process tuples effectively and reliably.…”
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