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International Workshop on Advanced Technologies in Aerospace, Mechanical and Automation Engineering - Modern Issues in Science and Technology (MIST) - Aerospace

作者： Kolnogorov, A. V. Yaroslav The Wise Novgorod State Univ Velikiy Novgorod Russia

We consider optimization of batch data processing if there are two alternative processing methods available with different unknown efficiencies. One should determine more efficient method and provide its predominant usage. Formally, the problem is presented as Gaussian two-armed bandit problem with a priori unknown mathematical expectations and variances of incomes. We consider the problem in robust (minimax) setting. According to the main theorem of game theory, minimax strategy and minimax risk are sought for as Bayesian ones corresponding to the worst-case prior distribution of parameter. We describe the properties of the worst-case prior distribution and present corresponding recursive equations for determining Bayesian risk and expected losses. Some numerical examples are presented. We show that the control performance almost does not depend on the number of processed batches if this number is large enough.

关键词： batch data processing

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Dynamic scheduling for batch data processing in parallel systems

Dynamic scheduling for batch data processing in parallel sys...

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3rd International Conference on Operations Research and Enterprise Systems, ICORES 2014

作者： Osman, Mojahid Saeed Ndiaye, Malick Shamayleh, Abdulrahim Systems Engineering Department King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia

ISBN: (纸本)9789897580178

In many operations time factor is a main constraint. Being able to optimally execute them while minimizing the amount of resources used remain a challenge in many business areas. In this paper we propose a model to optimally schedule processing a set of tasks which are part of network of operations on processors that are all capable of handling these tasks. The objective is to process these tasks and operations within a cut-off time while satisfying all the precedence constraints using the minimum number of resources, i.e. processors. Copyright © 2014 SCITEPRESS.

关键词： batch data processing

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UCB Strategy for batch data processing: Estimation of Variances at the Initial Stage 18

UCB Strategy for Batch Data Processing: Estimation of Varian...

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18th International Symposium on Problems of Redundancy in Information and Control Systems, REDUNDANCY 2023

作者： Ershov, Maxim Voroshilov, Albert Yaroslav-the-Wise Novgorod State University Applied Mathematics and Information Science Dept Veliky Novgorod Russia

ISBN: (纸本)9798350381528

We develop the UCB strategy for the two-armed bandit problem. When a player chooses an arm, he receives a one-step random income. But the player does not know which of the arms is more profitable. To solve this problem, we use the UCB strategy which is applied in two stages. The first stage is a collection of statistical data. At the second stage, the choice of the arms is based on the upper confidence bounds (UCB) of the estimates of one-step expected incomes. We study the case when variances are unknown. Like the mathematical expectations, the variances can be evaluated throughout the control. However, we propose to estimate variances only at the stage of statistics collection, which significantly reduces the calculation time. This problem is considered in application to batch data processing and demonstrates several aspects of the redundancy. First, suppose that parallel data processing can be performed. Then, compared to strategies that process data one by one, the batch data processing allows significantly to reduce the total processing time almost without additional loss. Second, according to the central limit theorem, the total incomes in batches are close to Gaussian and, hence, control strategies do not to depend on onestep income distribution. Third, concerning considered case, it is sufficient to estimate variances only at the initial stage of the control (statistics collection) and it is not necessary to recalculate them during the whole control process. Monte Carlo simulations show the high quality of the control using the proposed strategy. © 2023 IEEE.

关键词： batch data processing

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Two-alternative optimization of moderate batch data processing 2

Two-alternative optimization of moderate batch data processi...

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2nd International Scientific and Practical Conference on Mathematical Modeling, Programming and Applied Mathematics, ISPCMMPAM 2020

作者： Kolnogorov, A.V. Yaroslav-the-Wise Novgorod State University 41 ul. B. St. Petersburgskaya Veliky Novgorod Russia

We consider optimization of moderate batch data processing in the framework of Bernoulli two-armed bandit problem with indefinite control horizon. We assume that there are two alternative processing methods with different a priori unknown efficiencies which are caused by different reasons including those related to legislation. One has to find the most efficient method and to provide its predominant usage. The arising batches of data with close properties have moderate and possibly uncertain sizes. The problem is considered in minimax setting. According to the main theorem of the game theory minimax risk and minimax strategy are searched for as Bayesian ones corresponding to approximately the worst-case prior distribution concentrated on the finite set of parameters. Numerical experiments show that this approach provides good approximations of minimax strategy and minimax risk. © Published under licence by IOP Publishing Ltd.

关键词： batch data processing

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GAUSSIAN ONE-ARMED BANDIT AND OPTIMIZATION OF batch data processing

arXiv

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arXiv 2019年

作者： Kolnogorov, Alexander Yaroslav-the-Wise Novgorod State University Applied Mathematics and Information Science Department 41 B.Saint-Petersburgskaya Str. Velikiy Novgorod173003 Russia

We consider the minimax setup for Gaussian one-armed bandit problem, i.e. the two-armed bandit problem with Gaussian distributions of incomes and known distribution corresponding to the first arm. This setup naturally arises when the optimization of batch data processing is considered and there are two alternative processing methods available with a priori known efficiency of the first method. One should estimate the efficiency of the second method and provide predominant usage of the most efficient of both them. According to the main theorem of the theory of games minimax strategy and minimax risk are searched for as Bayesian ones corresponding to the worst-case prior distribution. As a result, we obtain the recursive integro-difference equation and the second order partial differential equation in the limiting case as the number of batches goes to infinity. This makes it possible to determine minimax risk and minimax strategy by numerical methods. If the number of batches is large enough we show that batch data processing almost does not influence the control performance, i.e. the value of the minimax risk. Moreover, in case of Bernoulli incomes and large number of batches, batch data processing provides almost the same minimax risk as the optimal one-by-one data processing.93E20, 62L05 (Primary), 62C20, 62C10, 62F35 (secondary) Copyright © 2019, The Authors. All rights reserved.

关键词： batch data processing

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Peer-Assessed (Evaluated) Automated Grading System: A Comprehensive Exploration with Emphasis on batch processing data Visualization and Rigorous Peer Evaluation 24

Peer-Assessed (Evaluated) Automated Grading System: A Compre...

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2024 International Conference on Artificial Intelligence and Teacher Education, ICAITE 2024

作者： Liow, Hui Jia Karin Yau, Peter ChunYu Tang, LaiMeng Seow, CheeKiat Cao, Qi School of Computing Science University of Glasgow Glasgow United Kingdom

ISBN: (纸本)9798400710131

Grading process is a critical yet intricate task for educators. This research addresses the inefficiencies and complexities inherent in the current manual grading approach, focusing on the challenges faced by educators in tasks such as raw score assignment, assessment score calculation, and incorporating peer evaluation. The extensive use of Excel sheets further complicates the process, demanding considerable time and effort. To overcome these challenges, the research proposes the development of an Automated Grading System with advanced features, including batch processing, data visualization, and robust peer evaluation. The literature review delves into existing grading software, emphasizing the need for comprehensive grading solutions that efficiently handle large-scale tasks and offer a seamless user experience. The research outlines a serverless software architecture leveraging cloud computing advantages, emphasizing scalability, cost-efficiency, and reduced operational overhead. The methods and system design section details the implementation of *** MVC, jQuery, ***, and a User Identity Framework for secure role-based access control. The algorithm, procedure, and batch processing section elucidate the intricate steps involved in calculating assessment scores, incorporating peer evaluation, and determining the overall student grade. By adopting this advanced Automated Grading System, educators can streamline the grading process, reduce manual workload, and enhance overall efficiency. The proposed system addresses the limitations of existing grading software, providing a holistic solution for educational institutions aiming to improve the grading experience for both educators and students. Copyright © 2024 held by the owner/author(s).

关键词： batch data processing

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Rapid CO2 coupling to propargylic alcohols: unlocking the production of α-alkylidene cyclic carbonates via continuous flow

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GREEN CHEMISTRY 2025年第3期27卷 722-730页

作者： Stiernet, Pierre Verdin, Alexandre Frisinger, Maja Stina Svanberg Grignard, Bruno Malherbe, Cedric Yuan, Jiayin Monbaliu, Jean-Christophe M. Detrembleur, Christophe ULiege Ctr Educ & Res Macromol CERM B-4000 Liege Belgium ULiege Dept Chem MolSys Res Unit Mass Spectrometry Lab B-4000 Liege Belgium Stockholm Univ Dept Mat & Environm Chem S-10691 Stockholm Sweden ULiege Ctr Integrated Technol & Organ Synth B-4000 Liege Belgium WEL Res Inst Ave Pasteur 6 B-1300 Wavre Belgium

alpha-Alkylidene cyclic carbonates (alpha CCs) are gaining interest as building blocks in organic and polymer chemistry. To date, their synthesis via the coupling of CO2 to propargylic alcohols has been restricted to batch processes, with extensive efforts devoted to improving catalytic systems. Herein, utilizing a refined, homogeneous silver-carbene-organobase catalytic system, we optimized batch conditions to achieve, for the first time, complete conversion of tertiary propargylic alcohols within minutes instead of hours. Building on this, we introduce a continuous flow methodology to produce a library of alpha CCs, achieving the highest space-time yields reported, with quantitative conversions in less than 20 minutes and outputs up to 111 grams per day. This approach reduces CO2 usage to 1 or 2 equivalents, improves parameter control, and is expected to facilitate scalability. In addition, "plug-and-play" lab-scale continuous flow modules enable seamless integration of subsequent alpha CC transformations without intermediate purification, as illustrated by the aminolysis of alpha CCs into oxazolidones with good conversion (91%). Furthermore, supporting the silver-carbene catalyst on a polymer matrix eliminates silver contamination and even suppresses the need for a base co-catalyst. This work advances the scalable synthesis of alpha CCs via continuous flow, marking a significant step toward greener, CO2-based cyclic carbonates and derivatives.

关键词： batch data processing

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Advances in precise cell manipulation

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DROPLET 2025年第1期4卷

作者： Ma, Yuan Liang, Zhenwei Chen, Yiqing Wang, Jiadao Tsinghua Univ Dept Mech Engn Beijing 100084 Peoples R China

Research on cells and organ-like tissues is critical in the fields of molecular biology, genetic analysis, proteomics analysis, tissue engineering, and others. In recent years, advancements in precise cell manipulation technologies have made precise positioning and batch processing of cells feasible. Various methods are used for cell recognition, positioning, manipulation, and assembly, often introducing external fields such as electric, magnetic, acoustic, or optical fields into the liquid environment to interact with cells, applying forces to induce cell movement and rearrangement. Alternatively, three-dimensional (3D) bioprinting technology is employed for precise cell positioning and assembly. This review will comprehensively assess the status, principles, advantages, disadvantages, and prospects of these precise cell manipulation technologies, covering single-cell manipulation, multicellular assembly, and biological 3D printing techniques.

关键词： batch data processing

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Soft sensor development based on hybrid modeling with ensemble learning for multimode batch processes

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IEEE Sensors Journal 2025年第9期25卷 15588-15597页

作者： Li, Ji Wang, Jianlin Sui, Enguang Wang, Wen He, Rui Beijing University of Chemical Technology College of Information Science and Technology Beijing100029 China Chinese Academy of Sciences Key Laboratory of Environmenta Biotechnology Research Center for Eco-Environmental Sciences Beijing100085 China

batch processes are important manufacturing process. data-driven soft sensor has become an essential means to measure key process variables of batch processes online. However, due to the complex characteristics of batch processes, data-driven soft sensor models do not always perform well, these models with large measurement errors at sometimes are risky. In addition, purely data-driven soft sensor models lack interpretability, which limits the application of soft sensor technology in batch processes. To address these issues, an effective soft sensor based on hybrid modeling with ensemble learning for multimode batch processes is proposed. First, the proposed soft sensor uses the warped k-means algorithm to partition the batch process into multiple modes, with bootstrap sampling and different secondary variables to construct training data for each mode;Then data-driven soft sensor base models and mechanism-based soft sensor models are established for each mode. Considered the influence of sample size, model parameter quantity on soft sensor models, bayesian information criterion and structural risk minimization principle are introduced to assess model risk of multimode soft sensor base models. According to the model risk assessment results, each mode base models are pruned;finally, the stacking ensemble strategy is used to fuse mechanism-based models and data-driven models. The experimental results of the penicillin fermentation process and the industrial yeast fermentation process demonstrate the effectiveness of the proposed soft sensor. © 2001-2012 IEEE.

关键词： batch data processing

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A Mixed Integer Programming model to optimize production planning in the luxury textile industry 6

A Mixed Integer Programming model to optimize production pla...

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6th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2024

作者： Rossi, Andrea Tiacci, Lorenzo Simonetti, Matteo University of Perugia via Goffredo Duranti 97 Perugia06125 Italy

The fashion clothing apparel sector operates in a dynamic environment, subject to seasonal changes in the collection. There are at least two collection every year, consisting in tight windows for production. Moreover, the collection of the orders happens in the sales campaign, so the time allotted for production is low and it is important to optimize the production planning. Furthermore, in the textile industry, companies often resort to a subcontracting network to carry out production. The present work tackles the fully fashioned knitwear production process, typical of the luxury industry, with the objective of optimizing the production planning. A novel Mixed Integer Programming (MIP) to address the scheduling for a multi-stage, multi-site production system with batch processing is presented with the objective of minimizing both the makespan and the number of models that are assigned to a different manufacturer than the one who realized their samples during the prototyping and sampling phase. The proposed model can both operate as a scheduler and as decision support tool. To validate the effectiveness of the model an experiment is conducted utilizing real production data of a fashion company and comparing the result obtained with the operative planning adopted by the company. Results consist in a reduction of the production makespan and in a better assignment of item to manufacturers, representing a great improvement from the company scheduling. © 2025 The Authors.

关键词： batch data processing

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