Higher-Order Weakly Generalized Epiderivatives and Applications to Optimality Conditions by Qilin Wang, Guolin Yu

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Sum Rate Optimization for MIMO Multicasting Network with Active IRS by Ping Li, Jinhong Bian

“…This paper considers a multiple-input multiple-output (MIMO) multicasting system aided by the intelligent reflecting surface (IRS). …”
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Opportunistic spectrum access algorithm based on cross-layer optimization by ZHANG Jing, ZHU Hong-bo

“…Aiming at the opportunistic spectrum access（OSA） system with periodic channel sensing,sensing activity of secondary users was modeled and analyzed with Markov process.Combining physical layer index with MAC layer index,a cross-layer performance measure termed effective transmission capacity（ETC） was introduced.Under the criterion of maximizing ETC,a cross-layer optimal OSA algorithm was proposed and the achievable average ETC of opportunistic spectrum sharing was deduced.Theoretical analysis and simulation results indicate that the proposed algorithm is better than single-layer optimal schemes for it provides the secondary users with higher ETC.…”
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FORMALIZATION OF THE PROBLEM OF TRANSPORT LOGISTICS OPTIMIZATION NETWORKS AT THE STAGE OF REENGINEERING by Vladimir Beskorovainyi, Lyudmyla Kolesnyk, Dmytro Yevstrat

“…The following methods are used: system approach, theories of systems, theories of usefulness, theories of decision-making, system design, optimization and operations research. …”
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Grey Wolf Optimization- and Particle Swarm Optimization-Based PD/I Controllers and DC/DC Buck Converters Designed for PEM Fuel Cell-Powered Quadrotor by Habibe Gursoy Demir

“…Hence, the system consists of two PSO- and GWO-based optimizers. …”
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Real-Time Optimally Adapting Meshes: Terrain Visualization in Games by Matthew White

“…Several algorithms exist that allow such control, including the real-time optimally adapting mesh (ROAM) algorithm specifically aimed at terrain systems. …”
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Numerical Simulation and Optimization Design of Auxiliary Power Inverter Heatsink by ZHANG Xiao, WANG Jiajia, LIU Changqing, ZHOU Wenyong

“…In order to meet the design requirement of the heatsink for auxiliary power inverter and achieve the best system matching, taking one auxiliary power inverter heatsink as study object, the heatsink thermal resistance affected by geometry parameters was analyzed, and a high power density heatsink was designed and optimized based on theoretical calculation, numerical simulation was applied to develop an analytical model for the heatsink with CFD software, which optimized the heatsink parameters. …”
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Tuning PID Controller Using Multiobjective Ant Colony Optimization by Ibtissem Chiha, Noureddine Liouane, Pierre Borne

“…Simulation results demonstrate that the new tuning method using multiobjective ant colony optimization has a better control system performance compared with the classic approach and the genetic algorithms.…”
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Optimizing low complexity encoding method for systematic polar code by Linhua MA, Shiping LIU, Xing HU, Tianyu HUANG, Bin XU

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Optimization of the Microprogram Mealy Machine Circuit Based on LUT and EMB by Alexandr Barkalov, Larysa Titarenko, Svitlana Saburova, Oleksandr Golovin, Oleksandr Matvienko

“…The control unit is the most important block of digital systems. Unlike other blocks, the control unit generates signals in each cycle of the system and therefore consumes a significant amount of electrical power. …”
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OPTIMIZING MANAGEMENT OF BUSINESS AND FINANCE WORK AT CATERING ENTERPRISES IN UNIVERSITIES by Raisa V. Savkina, Valentina I. Feoktistova, Evgeniya V. Klicheva, Irina N. Lukiyanchuk

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Application of fuzzy mathematic evaluation in the optimization of stewed pork processing by GU Wei-gang, PENG Yan, ZHANG Jin-jie, YAO Yan-jia, JI Rong, CHEN Jian-chu

“…Fuzzy mathematic evaluation model was introduced to optimize the process of stewed pork. As five key factors, colour, texture and mouthfeel of the stewed pork, taste and odour of the soup were on weight analysis based on sensory evaluation, and the integrated assessment system was established. …”
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MODERNIZATION, OPTIMIZATION, BUREAUCRATIZATION... WHAT AWAITS HIGHER SCHOOL TOMORROW? by Lyudmila F. Krasinskaya

“…The article analyzes the negative trends in higher education development in the country caused by a change in the state education policy in terms of crisis, the optimization of financial costs, the intensification of the authoritarian-bureaucratic methods of educational institution management. …”
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Simulation Analysis and Optimization Research on Cooling and Dehumidifying Effects of Evaporator by Liu Shuailing, Ma Guoyuan, Xu Shuxue, Li Fuping, Sun Han

“…For the efficient operation of the cooling and dehumidification system, the relationship between dehumidification and the inlet air speed, dry bulb temperature, and relative humidity of evaporator is numerically analyzed. …”
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Airline Fuel Loading Optimization Considering Sustainable Aviation Fuel by Jeremy Gabriel Uy, Jayne Lois San Juan

“…In this study, a multi-objective mathematical optimization model is formulated for an airline fuel loading decision support system considering SAF by optimizing cost and environmental impact simultaneously. …”
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Evolutionary Multiobjective Query Workload Optimization of Cloud Data Warehouses by Tansel Dokeroglu, Seyyit Alper Sert, Muhammet Serkan Cinar

“…With the advent of Cloud databases, query optimizers need to find paretooptimal solutions in terms of response time and monetary cost. …”
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Financial statistical reporting by medical organizations: shortcomings and areas of optimization by M. L. Lazareva, I. V. Tyurina

“…To solve these problems, the authors propose the ways of improving the financial reporting by medical organizations: among them, optimizing the system of indicators, abandoning the statistical reporting forms in favor of creating databases (possibly, with outsourcing assistance), as well as creating the uniform rules for maintaining internal management accounting in medical organizations.…”
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Method of accelerating deep learning with optimized distributed cache in containers by Kai ZHANG, Yang CHE

“…When using GPU to train deep learning models with large-scale dataset, the data loading and preprocessing stages often decrease overall performance notably.Lots of GPU computing resources are wasted on waiting for loading data from remote storage.Firstly, the methods of accelerating deep learning training with container and distributed cache were introduced.The architecture and initial optimization of such training system, which was implemented with Alluxio and Kubernetes, were introduced as well.Secondly, the task and data co-located scheduling (TDCS) and the colocated scheduling policy were elaborated.Thirdly, TDCS was implemented in Kubernetes cluster, which made the acceleration result more extensible.Finally, the result of training ResNet50 image classification model on 128 NVIDIAV100 GPU devices demonstrates that the proposed methods can bring 2 to 3 times speed up comparing with load data from remote storage directly.…”
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Method of accounting and approaches to tax optimization of income tax of entities by V.V. Sokolovska

“…The author describes the accounts system designed for income tax cost accounting, and gives their analytical sections. …”
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Optimization of Intelligent Distribution of Distribution Network in the Presence of Distributed Sources by Youle Song, Ding Nie, Litao Fan

“…Moreover, this study establishes an objective function composed of system network loss expectation, voltage stability index, and reactive power compensation equipment investment. …”
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