Optimization of reconfigurable SM2 algorithm over prime filed by Bin LI, Qinglei ZHOU, Xiaojie CHEN, Feng FENG

“…Aiming at the problems of inefficient of software, low utilization of hardware resources and poor scalability of SM2 algorithm, a reconfigurable optimization method of SM2 algorithm over prime filed was proposed.Through in-depth analysis of the SM2 algorithm, starting from different computation stages and characteristics, respectively using KOA fast multiplication, fast modular reduction and Barrett algorithm to achieve recommended or arbitrary parameters of the modular multiplication operation, and the radix-4 extended Euclidean algorithm was optimized and improved to accelerate the modular inverse operation.Then, in the standard projective coordinate system, the Montgomery method was used to improve the efficiency of point multiplication, and the data flow of point addition and double point was optimized to shorten the operation cycle to 12 clocks.At the same time, fast coordinate system conversion was realized inside the FPGA.Finally, the parallel scheduling management of multi-SM2 was designed and implemented to meet the computational requirements of multiple applications.The experimental results show that the optimized SM2 makes full use of FPGA resources and shortens the cycle of point multiplication.The maximum number of calculations per second is 352.48 times higher than the CPU (Intel i5-8300), which improves the performance and scalability.…”
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OPTIMIZATION OF THE MACHINE AND TRACTOR FLEET UNDER THE NEW MANAGEMENT CONDITIONS by S. V. Anisimova, I. E. Denezhkina

“…A method to solve the problem of the machine and tractor fleet optimization for agricultural enterprises is proposed.The application of the method is illustrated by the case study of the “Rodina” farm, Stavropol Territory. …”
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Cooperative trajectory optimization for multiple connected vehicles at an unsignalized intersection by Hao Yang, Xianyang Li, Duoyang Qiu, Xiaomeng Zhu

“…For unsignalized intersection scenarios, considering whether vehicles arrive simultaneously, we propose single-phase and multi-phase trajectory planning methods for multi-vehicle cooperative motion based on numerical optimization techniques. This method includes establishing a vehicle kinematic model, considering the constraints of the vehicle’s physical system and boundary conditions, and developing effective multi-vehicles collaborative motion obstacle avoidance strategies. …”
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Towards carbon emission modeling and optimization for time-sensitive IIoT by LI Yingyu, DAI Yipeng, GE Xiaohu, SHI Guangming, XIAO Yong, LIU Yan, YU Liang, XU Han

“…Based on this, considering low-latency constraints, a task offloading optimization algorithm based on the alternative direction method of multipliers (ADMM) was designed to minimize the overall carbon emissions of the considered IIoT system. …”
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Optimizing Container Placement in Data Centers by Deep Reinforcement Learning by Hyeonjeong Kim, Cheolhoon Lee

“…To address this issue, we propose an optimization method that ensures economic efficiency without compromising system stability. …”
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Optimizing Digital Management of Research and Collaboration With Academic Information Manager by Peyman Nejat, MD, Vitali Fedosov, MD, PhD, Chady Meroueh, MD, Hugo Botha, MB, ChB, Svetlana Herasevich, MD, MS, Ing Tiong, MS, MA, David Martin, MD, PhD, Brian W. Pickering, MD, MS, Vitaly Herasevich, MD, PhD

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Flow Path Optimization and Performance Study on Gravity Recirculation Evaporator by Zang Runqing, Zhao Dong, Liu Yazhe, Liu Jianxun, Zhang Zhu, Ji Weichuan

“…The first is a flow path structure which is commonly used in the gravity-fed cooling system, and the second is an optimized flow path structure. …”
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An Optimization Model with “Perfect Rationality” for Expert Weight Determination in MAGDM by Yuetong Liu, Chaolang Hu, Shiquan Zhang, Qixiao Hu

“…Based on the above characteristics, the optimization problem is further transformed into solving a system of nonlinear equations to obtain the expert weights. …”
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Improved Efficient Projection Density Function Based on Topology Optimization by Nouman Saeed, Kai Long, Jamshed Ahmed Ansari, Nasif Raza Jaffri, Usama Abrar

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An electronic gear concept for optimized efficiency operation of automotive converters by Tanya Thekemuriyil, Munaf T.A. Rahimo, Silvia Mastellone, Renato Amaral Minamisawa, Thiago Batista Soeiro

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Real-Time Optimization of Precast Concrete Component Transportation and Storage by Donghai Liu, Xin Li, Junjie Chen, Rui Jin

“…To address this problem, this paper presented a dynamic optimization method for PC component transportation and storage based on real-time scheduling and tracking. …”
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Efficient use of optimality conditions in Interval Branch and Bound methods by Mihály Gencsi, Boglárka G.-Tóth

“…However, few IBB implementations use the Karush-Kuhn-Tucker (KKT) or the Fritz-John (FJ) optimality conditions to eliminate non-optimal boxes. …”
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Optimizing Osseodensification Drilling for Dental Implant Placement: An In Vitro Study by Xingru Tao, Jie Yang, Tai Ma, Ming Chen, Qinglong An, Dedong Yu

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Dynamic Positioning and Optimization of Magnetic Target Based on Binocular Vision by Jing Li, Yang Wang, Ligang Qu, Guangming Lv, Zhenyu Cao

“…The experimental results on the C-Track optical tracking platform show that the optimized magnetic target layout reduces the rotation error of the dynamic scanning from 0.055° to 0.035°, the translation error from 0.31 mm to 0.162 mm, and the scanning efficiency is increased by 33%, which significantly improves the positioning accuracy and tracking stability of the system under complex working conditions. …”
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Robust reinforcement learning algorithm based on pigeon-inspired optimization by Mingying ZHANG, Bing HUA, Yuguang ZHANG, Haidong LI, Mohong ZHENG

“…Reinforcement learning(RL) is an artificial intelligence algorithm with the advantages of clear calculation logic and easy expansion of the model.Through interacting with the environment and maximizing value functions on the premise of obtaining little or no prior information, RL can optimize the performance of strategies and effectively reduce the complexity caused by physical models .The RL algorithm based on strategy gradient has been successfully applied in many fields such as intelligent image recognition, robot control and path planning for automatic driving.However, the highly sampling-dependent characteristics of RL determine that the training process needs a large number of samples to converge, and the accuracy of decision making is easily affected by slight interference that does not match with the simulation environment.Especially when RL is applied to the control field, it is difficult to prove the stability of the algorithm because the convergence of the algorithm cannot be guaranteed.Considering that swarm intelligence algorithm can solve complex problems through group cooperation and has the characteristics of self-organization and strong stability, it is an effective way to be used for improving the stability of RL model.The pigeon-inspired optimization algorithm in swarm intelligence was combined to improve RL based on strategy gradient.A RL algorithm based on pigeon-inspired optimization was proposed to solve the strategy gradient in order to maximize long-term future rewards.Adaptive function of pigeon-inspired optimization algorithm and RL were combined to estimate the advantages and disadvantages of strategies, avoid solving into an infinite loop, and improve the stability of the algorithm.A nonlinear two-wheel inverted pendulum robot control system was selected for simulation verification.The simulation results show that the RL algorithm based on pigeon-inspired optimization can improve the robustness of the system, reduce the computational cost, and reduce the algorithm’s dependence on the sample database.…”
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Timetable Optimization of Rail Transit Loop Line with Transfer Coordination by Rui-Jia Shi, Bao-Hua Mao, Yong Ding, Yun Bai, Yao Chen

“…Finally, a case study of a loop line in the Beijing urban rail transit system is conducted. Waiting times of the passengers and the number of waiting passengers are used as performance indicators to verify the optimization results in rush hours and non-rush hours. …”
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Optimizing chromosome dispersion quality: the key role of cell density by Chao-Xian Gao, Li-Mei Li, Yu-Ting Chen, Ying-Yan Guo, Bo-Xin Li, Xue-Qin Yang, Chang-Ye Hui

“…ObjectiveThis study aims to optimize metaphase dispersion in automated detection by quantitatively determining the optimal cell suspension density to enhance the accuracy and efficiency of chromosomal aberrations analysis.MethodsLymphocyte metaphase suspensions were prepared using an automated harvesting system and subjected to a concentration gradient of 104–107 cells/mL. …”
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Joint Optimization of Cache Placement and Bandwidth Allocation in Heterogeneous Networks by Weiqi Sun, Yong Li, Chunjing Hu, Mugen Peng

“…Meanwhile, in order to guarantee performance of each individual user while optimizing outage probability of the entire system, user fairness is taken into account as well. …”
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Optimization of Aeration for Improving Performance of Hospital Wastewater Treatment Plant by Zahra Hezarian, Ehsan Derikvand, Afshin Takdastan

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Analysis and Optimization Design of Moving Magnet Linear Oscillating Motors by Minghu Yu, Yuqiu Zhang, Jiekun Lin, Peng Zhang

“…This paper proposes a method for the analysis and optimization of electromechanical systems that employs a moving magnet linear oscillating motor. …”
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