OPTIMIZATION OF DYNAMICALLY VARIABLE CUTTING MODES OF BATCH PROCESSING ON MULTI-POSITION MULTI-TOOL EQUIPMENT by G. M. Levin, B. M. Rozin, O. I. Steblinskaya

“…One of the problems of defining the rational cutting modes of batch processing of different parts on multi-position multi-tool equipment is considered. …”
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Decentralized Trust and Dynamic Batching for Multi-Domain SDN Using Blockchain by Javier Jose Diaz Rivera, Ricard Vilalta, Raul Munoz, Pol Alemany, Lluis Gifre Renom

“…In multi-domain network environments, each domain operates with its own Software-Defined Networking (SDN) controller, making it challenging to ensure secure and consistent topology management across domains. …”
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Enhancing Multi-Key Fully Homomorphic Encryption with Efficient Key Switching and Batched Multi-Hop Computations by Liang Zhou, Ruwei Huang, Bingbing Wang

“…Multi-Key Fully Homomorphic Encryption (MKFHE) offers a powerful solution for secure multi-party computations, where data encrypted under different keys can be jointly computed without decryption. …”
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A generic multi-lidar data batching strategy on the sensor driver level by T. Faitli, H. Hyyti, J. Hyyppä, A. Kukko, H. Kaartinen

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Multi-Phase Adaptive Recoding: An Analogue of Partial Retransmission in Batched Network Coding by Hoover H. F. Yin, Mehrdad Tahernia, Hugo Wai Leung Mak

“…Batched network coding (BNC) is a practical realization of random linear network coding (RLNC) designed for reliable network transmission in multi-hop networks with packet loss. …”
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spVelo: RNA velocity inference for multi-batch spatial transcriptomics data by Wenxin Long, Tianyu Liu, Lingzhou Xue, Hongyu Zhao

“…However, current methods fail to utilize the spatial information inherent in spatial transcriptomics and lack scalability in multi-batch datasets. Here, we introduce spVelo, a scalable framework for RNA velocity inference of multi-batch spatial transcriptomics data. spVelo supports several downstream applications, including uncertainty quantification, complex trajectory pattern discovery, driver marker identification, gene regulatory network inference, and temporal cell-cell communication inference. spVelo has the potential to provide deeper insights into complex tissue organization and underscore biological mechanisms based on spatially resolved patterns.…”
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Multi-ciphertext batch auditable decryption outsourcing SM9-HIBE key encapsulation mechanism by Kuan LIU, Jianting NING, Wei WU, Shengmin XU, Chao LIN

“…The decryption operation of SM9-HIBE key encapsulation mechanism required two bilinear pairing operations, for the equipment requiring frequent decryption of massive data and with limited computing resources, such resourcing-consuming pairing operation will become an important bottleneck restricting the system deployment.To address the above issue, a decryption outsourcing key encapsulation mechanism OASM9-HIBE based on SM9-HIBE was proposed, which supported multi-ciphertext batch auditing.The Fujisaki-Okamoto transformation technology was utilized to prove the RCCA security of OASM9-HIBE under the random oracle model.All resourcing-consuming bilinear pairing operations were safely offloaded to the cloud server in OASM9-HIBE, the k-th hierarchical user only need to perform one simple exponentiation operation to complete the final decryption.The decryption efficiency of the original SM9-HIBE was effectively improved under the premise of not changing the downward proxy generation function of the user’s private key between hierarchical.OASM9-HIBE additively achieved the property of batch auditing of multi-transformed ciphertexts by employing the key blinding technology.Theoretical analysis and evaluation of experimental data highlight the feasibility and efficiency of OASM9-HIBE, OASM9-HIBE extends the application field of SM9 series algorithms.…”
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Multi-ciphertext batch auditable decryption outsourcing SM9-HIBE key encapsulation mechanism by Kuan LIU, Jianting NING, Wei WU, Shengmin XU, Chao LIN

“…The decryption operation of SM9-HIBE key encapsulation mechanism required two bilinear pairing operations, for the equipment requiring frequent decryption of massive data and with limited computing resources, such resourcing-consuming pairing operation will become an important bottleneck restricting the system deployment.To address the above issue, a decryption outsourcing key encapsulation mechanism OASM9-HIBE based on SM9-HIBE was proposed, which supported multi-ciphertext batch auditing.The Fujisaki-Okamoto transformation technology was utilized to prove the RCCA security of OASM9-HIBE under the random oracle model.All resourcing-consuming bilinear pairing operations were safely offloaded to the cloud server in OASM9-HIBE, the k-th hierarchical user only need to perform one simple exponentiation operation to complete the final decryption.The decryption efficiency of the original SM9-HIBE was effectively improved under the premise of not changing the downward proxy generation function of the user’s private key between hierarchical.OASM9-HIBE additively achieved the property of batch auditing of multi-transformed ciphertexts by employing the key blinding technology.Theoretical analysis and evaluation of experimental data highlight the feasibility and efficiency of OASM9-HIBE, OASM9-HIBE extends the application field of SM9 series algorithms.…”
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A clustering-aided multi-agent deep reinforcement learning for multi-objective parallel batch processing machines scheduling in semiconductor manufacturing by Peng Zhang, Mengyu Jin, Ming Wang, Jie Zhang, Junjie He, Peng Zheng

“…Pioneer researches on multi-objective batch machines scheduling mainly focus on evolutionary algorithms, failing to meet the online scheduling demand. …”
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A Fast Multi-Scale of Distributed Batch-Learning Growing Neural Gas for Multi-Camera 3D Environmental Map Building by Chyan Zheng Siow, Azhar Aulia Saputra, Takenori Obo, Naoyuki Kubota

“…Therefore, this study propose a 3D environmental map-building method integrating point cloud data measured via multiple RGB-D cameras. First, a fast multi-scale of distributed batch-learning growing neural gas (Fast MS-DBL-GNG) is proposed as a topological feature extraction method in order to reduce computational costs because a single RGB-D camera may output 1 million data. …”
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Picker Routing and Batching in Multi-Block Parallel-Aisle Warehouses: An Application from the Logistics Service Provider by Ali Görener

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OPTIMIZING THE PLACEMENT OF A BATCH OF WORK-PIECES AT A MULTI-POSITION ROTARY TABLE OF TRANSFER MACHINE by N. N. Guschinsky, B. M. Rozin

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Buckthorn Leaves as an Efficient Material for Simultaneously Multi Eco-Friendly Purposes by Suha Anwer Ibrahim, Alanood A. Alsarayreh, Teba Tariq Khaled, Mohammed Nsaif Abbas

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Heterogeneous Graph Neural-Network-Based Scheduling Optimization for Multi-Product and Variable-Batch Production in Flexible Job Shops by Yuxin Peng, Youlong Lyu, Jie Zhang, Ying Chu

“…In view of the Flexible Job-shop Scheduling Problem (FJSP) under multi-product and variable-batch production modes, this paper presents an intelligent scheduling approach based on a heterogeneity-enhanced graph neural network combined with deep reinforcement learning. …”
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A multi-objective mathematical model for the multi-warehouse order picking system using Benders decomposition algorithm by Fatemeh Nikkhoo, Ali Hosseinzadeh Kashan, Bakhtiar Ostadi, Ehsan Nikbakhsh

Subjects: “…order batching…”
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Research on Multi-Parameter Error Model of Backcalculated Modulus Using Abaqus Finite Element Batch Modeling Based on Python Language by Chunlong Xiong, Jiangmiao Yu, Xiaoning Zhang, Chuanxi Luo

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IHDETBO: A Novel Optimization Method of Multi-Batch Subtasks Parallel-Hybrid Execution Cloud Service Composition for Cloud Manufacturing by Li-Nan Zhu, Peng-Hang Li, Xiao-Long Zhou

“…In this paper, a new manufacturing service composition scheme named as Multi-Batch Subtasks Parallel-Hybrid Execution Cloud Service Composition for Cloud Manufacturing (MBSPHE-CSCCM) is proposed, and such composition is one of the most difficult combination optimization problems with NP-hard complexity. …”
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Research on Arc Fault Detection Based on Conditional Batch Normalization Convolutional Neural Network with Cost-Sensitive Multi-Feature Extraction by Xin Ning, Tianli Ding, Hongwei Zhu

“…Although existing studies have made progress in improving the accuracy of their detection, most methods have not proposed effective solutions that address the cost-sensitive problem of feature selection. Thus, a multi-feature method is proposed by combining time-domain, frequency-domain, energy, and spatial features, which are integrated into a CBN (conditional batch normalization) convolutional neural network for detection. …”
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Dual-Branch Multi-Dimensional Attention Mechanism for Joint Facial Expression Detection and Classification by Cheng Peng, Bohao Li, Kun Zou, Bowen Zhang, Genan Dai, Ah Chung Tsoi

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Order Picking Problem: A Model for the Joint Optimisation of Order Batching, Batch Assignment Sequencing, and Picking Routing by Antonio Maria Coruzzolo, Francesco Lolli, Elia Balugani, Elisa Magnani, Miguel Afonso Sellitto

“…<i>Methods:</i> This study develops a new linear model to perform batching, which allows for defining, assigning, and sequencing batches and determining the best routing strategy. …”
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