Proactive Digital Transformation Imperative (PDTI): The Role of Capabilities Strategic Digital Business in MSMEs by Daryono Daryono, Setyawati Gunawan Ratna, Setyorini Gunawan Diah

“…This research examines the relationships between organizational capabilities, digital business strategy, Proactive Digital Transformation Imperative, and organizational performance in Indonesian MSMEs. …”
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Supplier Encroachment Channel Selection on an Online Retail Platform by Zongyu Mou, Kaixin Ding, Yaping Fu, Hao Sun

“…We hereby establish game-theoretical models to analyze the optimal strategy of supplier encroachment, the TORP preference, and the equilibrium channel strategy. …”
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Zabawa narracyjna jako strategia sprzyjająca autentycznemu uczeniu się dzieci by Joanna Szymczak

“…The process of build-ing the strategy and implementing it in practice was monitored in order to answer the question of the strategy’s meaning for creating a teaching environment. …”
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Optimal Route Selection Decision-Making Based on Intelligent Network by Mengshu Zhao, Zhaohui Zhang

“…In this paper, we study a game case which is a problem of optimal strategy of desert crossing based on intelligent network and then propose an optimal route selection decision-making. …”
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Research on green light compensation model for emergency preemption in C-V2X environment by Changlong ZHANG, Farong HAN, Jimin WEI, Jingang DAI, Xiaodong YANG, Shibo QU

“…To reduce the impact of the emergency vehicle preemption strategy on vehicles in non-priority phases at intersections, an emergency preemption green light compensation model in C-V2X environment was proposed.The proposed model doesn’t affect the emergency vehicle preemption strategy.The green time of the non-priority phases was calculated according to the real-time traffic demand to minimize the adverse impact on vehicles in non-priority phases.The proposed model was verified with simulation using an emergency vehicle.The results demonstrate that the proposed method can effectively decrease the queue lengths and reduce the average delay in non-priority phases after applying the emergency vehicle preemption strategy.The proposed method can improve traffic efficiency by optimizing the signal timing after the emergency vehicle passes through an intersection.…”
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SPMSM Sliding Mode Control Based on the New Super Twisting Algorithm by Lei Zhang, Jing Bai, Jing Wu

“…To achieve the high-performance control of the surface-mounted permanent magnet synchronous motor (SPMSM) speed control system, this paper proposes a high-order sliding mode control strategy based on a new super twisting algorithm (NSTA). …”
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Dynamic defense decision method for network real-time confrontation by Qiang LENG, Yingjie YANG, Dexian CHANG, Ruixuan PAN, Ying CAI, Hao HU

“…How to implement defense decision based on network external threat is the core problem of building network information defense system.Especially for the dynamic threat brought by real-time attack,scientific and effective defense decision is the key to construct network dynamic emergency defense system.Aiming at the problem of dynamic defense decision-making,firstly a network survivability game model based on attribute attack graph theory is designed.The attack and defense matrix is used to represent the attack and defense strategy and path,and the attack and defense strength and network survivability quantification method are given.Secondly,the single step and the multi-step attack and defense strategy payoff calculation method is proposed,and the defense decision is based on the attack and defensive strategy payoff.Finally,the effectiveness of the defense decision technology is verified through experiments.…”
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Asymptotic Behavior of an Optimal Investment-Reinsurance Problem with General Utility Functions by Yan Zhang, Peibiao Zhao

“…Moreover, applying the dual method along with the partial differential equation method, we verify the asymptotic behavior of the optimal control strategy, which means that the optimal investment-reinsurance strategy with the general utility functions converges to that with the power utility function at any level of the initial wealth.…”
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Research of the Law and Control Method of Automatic Shift for Engineering Vehicle by Ying Chen

“…The dynamic model of engineering vehicle transmission system is established and the dynamic shift strategy is simulated. The simulation shows that the optimal dynamic shift strategy can improve the acceleration and dynamic performance of the vehicle and greatly improve the shift quality of the vehicle. …”
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Second fitness selection QPSO and SA cooperative search for large-scale discrete optimization algorithm by Zhaojuan ZHANG, Wanliang WANG, Jijun TANG

“…To address the large-scale discrete optimization problem,a cooperative optimization algorithm called IDQPSO-SA was proposed.First,a strategy by applying two selections on the averaging fitness values to update the mean best position was presented,which could overcome the deficiency that QPSO was not applicable for discrete problems.Second,the double cut joining (DCJ) sorting strategy was incorporated into IDQPSO-SA,since the DCJ sorting strategy could considerably reduce the search space.Finally,the probability jumping ability of simulated annealing (SA) was combined with the parallel search of QPSO,and the global search was carried out collaboratively.By comparing with existing algorithms,the experimental results show that IDQPSO-SA further improves the search efficiency and has a comparable performance when faced with large-scale discrete optimization problems.…”
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Transmission scheduling scheme based on deep Q learning in wireless network by Jiang ZHU, Tingting WANG, Yonghui SONG, Yali LIU

“…To cope with the problem of data transmission in wireless networks,a deep Q learning based transmission scheduling scheme was proposed.The Markov decision process system model was formulated to describe the state transition of the system.The Q learning algorithm was adopted to learn and explore the system states transition information in the case of unknown system states transition probability to obtain the approximate optimal strategy of the schedule node.In addition,when the system state scale was big,the deep learning method was employed to map the relation between state and behavior to solve the problem of the large amount of computation and storage space in Q learning process.The simulation results show that the proposed scheme can approach the optimal strategy based on strategy iteration in terms of power consumption,throughput,packets loss rate.And the proposed scheme has a lower complexity,which can solve the problem of the curse of dimensionality.…”
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Multi-objective cloud workflow scheduling algorithm based on grid variance by Xiaoan BAO, Yundi CAO, Na ZHANG, Junyan QIAN, Jianwen CAO

“…Multi-objective cloud workflow scheduling algorithm based on grid variance and the strategy of bad particles self-learning were presented.Firstly,the characteristics of task scheduling was token into consideration,and particle encoding was discredited.Secondly,the strategy of mapping Pareto optimal workflow scheduling set to self-adaptive grid coordinate system,and calculating the grid distribution value of each Pareto optimal solution was used.Thirdly,grid variance was adopted to evaluate the diversity of current Pareto front and dynamically adjust evolution strategies.Finally,the concept of being dominated times was introduced into bad particles self-learning strategy for filtering out bad particles in population.The simulation experiment shows that workflow scheduling solution set by this algorithm is better than the MOPSO algorithm on both IGD and S performance indexes,and the optimal value is superior to the ε-FDPSO and NSGA-Ⅱ algorithm.…”
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Consensus Path-following Control of Multiple Underactuated Unmanned Underwater Vehicles by Yintao Wang, Yao Yao

“…The algorithm proposed consists of a single path-following strategy and a path parameter consensus tracking strategy. …”
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A Physics-Informed Cold-Start Capability for xEV Charging Recommender System by Raik Orbay, Aditya Pratap Singh, Johannes Emilsson, Michele Becciani, Evelina Wikner, Victor Gustafson, Torbjorn Thiringer

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Active Disturbance Rejection Power Predictive Control of Rectifier Based on Bus Voltage Optimized ESO Observer by Xiong Xiao, Junyu Zhao, Xian Song, Yuntao Zhao, Yongjun Zhang, Fei Zhang

“…The proposed control strategy is verified by simulation and experiment. …”
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Searching relevant papers for software engineering secondary studies: Semantic Scholar coverage and identification role by Abdelhakim Hannousse

“…The proposed search strategy is used to check the ability to retrieve primary papers of each secondary study. …”
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A Comparison of Selected Modifications of the Particle Swarm Optimization Algorithm by Michala Jakubcová, Petr Máca, Pavel Pech

“…Each of the basic PSO modifications was analyzed using three different distributed strategies. In the first strategy, the entire swarm population is considered as one unit (OC-PSO), the second strategy periodically partitions the population into equally large complexes according to the particle’s functional value (SCE-PSO), and the final strategy periodically splits the swarm population into complexes using random permutation (SCERand-PSO). …”
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Performance Enhancement of an SSVEP-Based Brain–Computer Interface in Augmented Reality Through Adaptive Color Adjustment of Visual Stimuli for Optimal Background Contrast by Cheong-Un Kim, Seonghun Park, Chang-Hwan Im

“…We then evaluated the feasibility of the proposed strategy through online experiments conducted in both indoor and outdoor conditions. …”
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GLOBAL TRENDS IN REPUTATION MANAGEMENT by Daria Kharamurza, Viktoriia Soshynska

“…Based on the analysis, recommendations were prepared to form an effective communication strategy for reputation management. The article's authors emphasize that the communication strategy for building and maintaining a positive reputation of the company should be based on a balanced system of communication channels and messages. …”
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A Comprehensive Review on Traffic Control Modeling for Obtaining Sustainable Objectives in a Freeway Traffic Environment by Muhammad Sameer Sheikh, Yinqiao Peng

“…Traffic control strategy plays a significant role in obtaining sustainable objectives because it not only improves traffic mobility but also enhances traffic management systems. …”
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