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13th International Conference on logistics and Systems Engineering

作者： Jiang, Lin Yao, Aibo Li, Wei School of Management Wuhan University of Science and Technology Hubei Wuhan430070 China School of Economics and Trade Hunan University Changsha Hunan410006 China Hunan Key Laboratory of Logistics Information and Simulation Technology Changsha Hunan410006 China

ISBN: (纸本)9781713896708

Driven by the extensive utilization of blockchain technology in supply chain management and cross-border trade, this paper develops a cross-border dual-channel supply chain comprised of a domestic manufacturer, a domestic cross-border e-commerce company, and an overseas physical store, aiming to study the impacts of tax differences, market competition intensity, and consumers' sensitivity to products with blockchain attributes on the strategies for adopting blockchain technology. Through simulation analysis, this study compares blockchain investment efforts, wholesale prices, retail prices, and the profits generated by supply chain members across different scenarios. Findings reveal that the adoption of blockchain technology by the domestic manufacturer enables the other two members to benefit from a free-riding effect, thus enhancing the supply chain's overall profitability. Second, in scenarios where the domestic manufacturer introduces blockchain technology, the profits of supply chain members are higher than in other cases. Third, from a profit maximization perspective, both the domestic manufacturer and the overseas physical store should implement blockchain technology. The domestic cross-border e-commerce company should flexibly adapt its blockchain introduction strategy based on the decisions made by the other two members. Finally, market competition intensity, tax differences, and consumers’ sensitivity to products with blockchain attributes will affect the profits of supply chain members under different scenarios. Therefore, all supply chain members should closely monitor these factors. © 2024 Proceedings of the 13th International Conference on logistics and Systems Engineering. All rights reserved.

关键词： Taxation

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Adaptive SOM neural network algorithm 3

Adaptive SOM neural network algorithm

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3rd International Conference on Artificial Intelligence, Automation, and High-Performance Computing, AIAHPC 2023

作者： Wang, Xin Yan, Taishan School of Information Science and Engineering Hunan Institute of Science and Technology Hunan Yueyang China Hunan Institute of Science and Technology School of Information Science and Engineering China Key Laboratory of Hunan Province on Intelligent Control and Optimization of Complex Industrial Logistics System Hunan Yueyang China

ISBN: (数字)9781510666580

ISBN: (纸本)9781510666573

In order to improve the performance of traditional SOM model, an adaptive SOM neural network algorithm is proposed. By introducing the error square sum solution formula, the clustering error of the model sub-data set is calculated by using the method of cutting the data set, and the change trend of the clustering error is quickly obtained. Then the learning rate of the SOM network is adaptively adjusted according to this, and the convergence speed is accelerated on the basis of ensuring that the network is fully trained, thereby improving the performance of the SOM network. © 2023 SPIE.

关键词： Errors

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A Hybrid Intelligent Algorithm for the Fuzzy Open Vehicle Routing Problem with Risk Preference

SSRN

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SSRN 2022年

作者： Cao, Erbao Wang, Xin Tang, Chunhua School of Economics and Trade Hunan University Changsha410079 China Hunan Province Key Laboratory of Logistics Information and Simulation Technology Changsha410079 China School of Management Hunan University of Finance and Economics Changsha410205 China

This paper investigates the impact of decision-makers risk preference and open vehicle routes in fuzzy demand situations. A two-stage framework is proposed when the customer demand is a trapezoidal fuzzy variable. The planned distance cost is first calculated, and then the additional route cost due to service failure is considered when the customer demand is revealed. A novel fuzzy programming with recourse (FPR) model formulation of the open vehicle routing problem with trapezoidal fuzzy demand (OVRPFD) is developed. A hybrid heuristic algorithm combining Monte Carlo simulation (MCS), genetic algorithm (GA), and adaptive large neighborhood search algorithm (ALNS) is proposed to solve the problem. The efficiency of the algorithms is compared in the experiments, and the effects of the decision-makers risk preference on the planned route cost, additional route cost, and total cost are investigated separately. The computational experimental results show that the planned route cost and additional route cost change as the decision-makers' risk preference changes, and the total cost first decreases and then increases. © 2022, The Authors. All rights reserved.

关键词： Genetic algorithms

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Research on price decision of 3D printing crafts 8

Research on price decision of 3D printing crafts

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8th International Conference on logistics and Systems Engineering 2018

作者： Liang, Renzhi Li, Wei Zhao, Shuo School of Economics and Trade Hunan University Hunan Changsha410079 China Hunan Key Laboratory of Logistics Information and Simulation Technology Hunan Changsha410079 China

ISBN: (纸本)9781921712685

3D printing technology has played a significant role in the transformation and upgrading of China's manufacturing industry,and it also has helped to regulate Chinese industrial structure,which became a new energy of Chinese economy's growing and pushed its mode of production to *** in the field of technology has led to continuing expansion of application of 3D printing and turning to *** from medical,Prototype model etc field to our daily life,which benefits our technologies and *** to the particularity of 3D printing products,its product pricing is becoming an issue which is worth to be *** firstly do a simple introduction about situations,trend,and features of 3D printing technology in our ***,we take features of 3D printing technology into consideration and analyze factors which influence price of the product,and set up a price decision model of 3D printing product .The model provide a basis for price decision of 3D printing product,which helps relevant enterprises to establish reasonable product price and marketing strategy. © 2019 Proceedings of the 8th International Conference on logistics and Systems Engineering 2018. All rights reserved.

关键词： 3D printers

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Research on supply chain decision of transnational second-hand printer 8

Research on supply chain decision of transnational second-ha...

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8th International Conference on logistics and Systems Engineering 2018

作者： Lu, Yi You, Bei-Er Si, Wu-Fei Van Long, Do Changsha Social Work College Hunan Changsha410004 China School of Economics and Trade Hunan University Hunan Changsha410079 China Hunan Key Laboratory of Logistics Information and Simulation Technology Hunan Changsha410079 China Vietnam National University Hanoi - University of Social and Sciences Humanities. Thanh Xuan Hanoi100000 Viet Nam

ISBN: (纸本)9781921712685

This paper combined reality of international second-hand printer industry, new and old products valued by different prices,with different prices that consumers are willing to ***, we considered influence of the third party re-manufacturer whether buys original equipment manufacturer's patent license and brand authorization on consumer's willingness to pay for their products. According to the third party re-manufacturer's decision to choose whether to buy original equipment manufacturer's technology license and brand authorization, theoretical model is constructed from two sides, then decision function of price and profit is obtained. Combined actual production of transnational second-hand printer industry, numerical simulation analysis is carried ***, some suggestions for development of the industry are put forward for reference. © 2019 Proceedings of the 8th International Conference on logistics and Systems Engineering 2018. All rights reserved.

关键词： Supply chains

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Design of high speed train operation plan simulation system 1st

Design of high speed train operation plan simulation system

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1st International Conference on Smart Vehicular technology, Transportation, Communication and Applications, VTCA 2017

作者： Chen, Dingjun Lin, Xinyi Zhang, Hui Wu, Kaiteng School of Transportation and Logistics Southwest Jiaotong University ChengduSichuan610031 China School of Information Science and Technology Southwest Jiaotong University Chengdu610031 China Key Laboratory of Numerical Simulation of Sichuan Province Neijiang610031 China

ISBN: (纸本)9783319707297

In view of the existing high-speed railway train operation plan system cannot accurately, comprehensively and intuitively reflect the transport equipment operating load and ability to adapt to the situation, cannot reflect the train group operation, operation diagram, station work plan between the complex interactive relationship, a train operation simulation module is designed in this paper which through the construction of high-speed railway traffic related electronic map and technical standards database, computer simulation on the train diagram has been made. Then, a high-speed railway operation plan simulation system is developed, which includes train planning, traction calculation and train operation simulation. Finally, simulation results show that high-speed railway operation plan simulation system can accurately simulate the whole process technical operation of the train group operation, operation process, generate statistical analysis results, thus we can get real-time visual inspection of the adaptability of operating equipment ability in the operation scheme, and provide strong support for the work of high-speed train running organization. It is of great significance to improve the level of high-speed railway traffic organization. © Springer International Publishing AG 2018.

关键词： Railroads

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DeePMD-kit v2: A software package for Deep Potential models

arXiv

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arXiv 2023年

作者： Zeng, Jinzhe Zhang, Duo Lu, Denghui Mo, Pinghui Li, Zeyu Chen, Yixiao Rynik, Marián Huang, Li'ang Li, Ziyao Shi, Shaochen Wang, Yingze Ye, Haotian Tuo, Ping Yang, Jiabin Ding, Ye Li, Yifan Tisi, Davide Zeng, Qiyu Bao, Han Xia, Yu Huang, Jiameng Muraoka, Koki Wang, Yibo Chang, Junhan Yuan, Fengbo Bore, Sigbjørn Løland Cai, Chun Lin, Yinnian Wang, Bo Xu, Jiayan Zhu, Jia-Xin Luo, Chenxing Zhang, Yuzhi Goodall, Rhys E.A. Liang, Wenshuo Singh, Anurag Kumar Yao, Sikai Zhang, Jingchao Wentzcovitch, Renata Han, Jiequn Liu, Jie Jia, Weile York, Darrin M. Weinan, E. Car, Roberto Zhang, Linfeng Wang, Han Laboratory for Biomolecular Simulation Research Institute for Quantitative Biomedicine Department of Chemistry and Chemical Biology Rutgers University PiscatawayNJ08854 United States AI for Science Institute Beijing100080 China DP Technology Beijing100080 China Academy for Advanced Interdisciplinary Studies Peking University Beijing100871 China HEDPS CAPT College of Engineering Peking University Beijing100871 China College of Electrical and Information Engineering Hunan University Changsha China Yuanpei College Peking University Beijing100871 China Program in Applied and Computational Mathematics Princeton University PrincetonNJ08540 United States Department of Experimental Physics Comenius University Mlynská Dolina F2 Bratislava842 48 Slovakia Center for Quantum Information Institute for Interdisciplinary Information Sciences Tsinghua University Beijing100084 China Center for Data Science Peking University Beijing100871 China ByteDance Research Zhonghang Plaza No. 43 North 3rd Ring West Road Haidian District Beijing China College of Chemistry and Molecular Engineering Peking University Beijing100871 China Baidu Inc. Beijing China Key Laboratory of Structural Biology of Zhejiang Province School of Life Sciences Westlake University Zhejiang Hangzhou China Westlake AI Therapeutics Lab Westlake Laboratory of Life Sciences and Biomedicine Zhejiang Hangzhou China Department of Chemistry Princeton University PrincetonNJ08544 United States SISSA Scuola Internazionale Superiore di Studi Avanzati Trieste34136 Italy Laboratory of Computational Science and Modeling Institute of Materials École Polytechnique Fédérale de Lausanne Lausanne1015 Switzerland Department of Physics National University of Defense Technology Hunan Changsha410073 China State Key Lab of Processors Institute of Computing Technology Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China School of Electronics Engineerin

DeePMD-kit is a powerful open-source software package that facilitates molecular dynamics simulations using machine learning potentials (MLP) known as Deep Potential (DP) models. This package, which was released in 2017, has been widely used in the fields of physics, chemistry, biology, and material science for studying atomistic systems. The current version of DeePMD-kit offers numerous advanced features such as DeepPot-SE, attention-based and hybrid descriptors, the ability to fit tensile properties, type embedding, model deviation, Deep Potential - Range Correction (DPRc), Deep Potential Long Range (DPLR), GPU support for customized operators, model compression, non-von Neumann molecular dynamics (NVNMD), and improved usability, including documentation, compiled binary packages, graphical user interfaces (GUI), and application programming interfaces (API). This article presents an overview of the current major version of the DeePMD-kit package, highlighting its features and technical details. Additionally, the article benchmarks the accuracy and efficiency of different models and discusses ongoing developments. © 2023, CC BY-NC-ND.

关键词： Molecular dynamics

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technology and advertisement investment decisions in closed-loop supply chain 7

Technology and advertisement investment decisions in closed-...

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7th International Conference on logistics and Systems Engineering 2017

作者： Guo, Xiuyuan Li, Wei Yuelu District Changsha Hunan Province410082 China Hunan Key Laboratory of Logistics Information and Simulation Technology Hunan Changsha410079 China

ISBN: (纸本)9781921712623

The closed-loop supply chain (CLSC) that includes new technology for remanufacturing and recycling waste products is a hot topic. In this paper, we formulate a two-pried model. In the first stage, the original equipment manufacturer (OEM) produces new products and a retailer sells new products to the market, which means that there is only new product of the market in the first stage. In the second phase, the third party remanufacturer (TPR) uses the waste products to produce the remanufactured goods, and the retailer sells both new and remanufactured products. In the process, OEM invests in advertising to promote new goods consumption, and TPR invests in 3D Printing (3DP) technology to promote products remanufacturing, moreover, both of them share the extra costs with retailer. © 2017 Aussino Academic Publishing House. All rights reserved.

关键词： Supply chains

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Overconfidence impacts on closed-loop supply chain decisions 7

Overconfidence impacts on closed-loop supply chain decisions

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7th International Conference on logistics and Systems Engineering 2017

作者： Tong, Meng Sun, Ziqing Li, Wei School of Economics and Trade Hunan University Changsha410079 China Hunan Key Laboratory of Logistics Information and Simulation Technology Changsha410079 China

ISBN: (纸本)9781921712623

We investigate the impact of manufacturer and remanufacturer's overconfidence on closed-loop supply chain members' decisions. Based on the phenomenon that manufacturer and remanufacturer are overconfident when they forecast the products demands, we set products demand functions with two kinds of overconfidence, which are overestimation and overplacement. Then we build a game theory model on closed-loop supply chain consisting of a manufacturer, remanufacturer and collector. Through the solutions of the closed-loop supply chain members' optimal decision-making when they make decisions simultaneously, we analyze the influences of manufacturer and remanufacturer's overconfidence on optimal prices, quantity of products, profits and recycling rate. The conclusions show that the members don't have optimal profits when manufacturer and remanufacturer are rational. The manufacturer and remanufacturer's profits will increase when they have certain level of overconfidence. The collector's profit will rise as the increase of manufacturer's overconfidence, and will decrease as the increase of remanufacturer's overconfidence. © 2017 Aussino Academic Publishing House. All rights reserved.

关键词： Supply chains

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A novel genome signature based on inter-nucleotide distances profiles for visualization of metagenomic data

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Physica A: Statistical Mechanics and its Applications 2017年 482卷 87-94页

作者： Xian-Hua Xie Zu-Guo Yu Yuan-Lin Ma Guo-Sheng Han Vo Anh Hunan Key Laboratory for Computation and Simulation in Science and Engineering and Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education Xiangtan University Xiangtan Hunan 411105 China Key Laboratory of Jiangxi Province for Numerical Simulation and Emulation Techniques Gannan Normal University Jiangxi 341000 China School of Mathematical Sciences Queensland University of Technology GPO Box 2434 Brisbane Q4001 Australia

There has been a growing interest in visualization of metagenomic data. The present study focuses on the visualization of metagenomic data using inter-nucleotide distances profile. We first convert the fragment sequences into inter-nucleotide distances profiles. Then we analyze these profiles by principal component analysis. Finally the principal components are used to obtain the 2-D scattered plot according to their source of species. We name our method as inter-nucleotide distances profiles (INP) method. Our method is evaluated on three benchmark data sets used in previous published papers. Our results demonstrate that the INP method is good, alternative and efficient for visualization of metagenomic data.

关键词： Alignment-free method Inter-nucleotide distance Metagenome Visualization

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