2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM)最新文献

Final Program 最后的程序

2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM) Pub Date : 2019-01-01 DOI: 10.4269/ajtmh.2009.81.5_suppl_1.0810003a

S. Guerriero, L. Valentin, A. Czekierdowski, N. Colombo, E. D. Jonge, A. Testa, S. V. Huffel, T. Bourne, D. Timmerman, D. Fischerová, Z. Jingzhang, D. Jurković, D. Paladini, L. Ameye, L. Savelli, F. Amant, A. Daemen, C. Holsbeke, R. Fruscio, E. Epstein, F. Leone, B. D. Moor, L. Lannoo, T. Mesens, J. Yazbek, T. Holland, I. Vergote

引用次数: 0

Containment of Linear Multi-Agent Systems with Reduced-Order Protocols Over Signed Graphs 带符号图上约阶协议的线性多智能体系统的包容

2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM) Pub Date : 2019-01-01 DOI: 10.1109/AIAIM.2019.8632777

Xiao Fang, Junjie Fu, Yuezu Lv

引用次数: 3

A Neurodynamic Approach to Noisy Image Fusion Based on a Linear Constrained Least Square Method 基于线性约束最小二乘法的噪声图像融合神经动力学方法

2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM) Pub Date : 2019-01-01 DOI: 10.1109/AIAIM.2019.8632778

Jihui Yu, Chuandong Li

引用次数: 0

Comparison of Different Grasp Algorithms for the Heterogeneous Vector Bin Packing Problem 异构向量装箱问题不同抓取算法的比较

2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM) Pub Date : 2019-01-01 DOI: 10.1109/AIAIM.2019.8632779

Ðorđe Stakić, A. Anokić, R. Jovanovic

{"title":"Comparison of Different Grasp Algorithms for the Heterogeneous Vector Bin Packing Problem","authors":"Ðorđe Stakić, A. Anokić, R. Jovanovic","doi":"10.1109/AIAIM.2019.8632779","DOIUrl":"https://doi.org/10.1109/AIAIM.2019.8632779","url":null,"abstract":"In this paper, we address the practical problem of packing multiple items into containers for further transport. Dense packing of containers can significantly decrease supply chain costs, since transport fees are related to the the number of used containers and not the content. This practical problem is generally modeled using the vector bin packing problem (VBPP) and its variations. In the recent years, the heterogeneous VBPP with two sets of constraints has proven to be a good representation of container packing related problems. In this work we extend this model to a more realistic setting, by allowing multiple containers of the same type. To solve this problem, an integer program is designed. To be able to find feasible solutions for large scale problem instances, a greedy constructive algorithm is developed. With the intention of improving the solutions generated in this way, a local search is developed and used to extend the greedy algorithm to the Greedy Randomized Adaptive Search Procedure (GRASP) metaheuristic. To evaluate the potential of using GRASP on this problem, several variations are designed and implemented. In our computational experiments, we have generated test instances based on real-world data. Experimental results show that the designed metaheuristic approaches provide high quality solutions compared to solutions obtained by the CPLEX solver. Further, one of the proposed GRASP variants has been adapted for the homogeneous VBPP and tested on standard benchmark instances in order to evaluate its performance against existing metaheuristic. The final conclusion is that the GRASP presents a promising approach for more challenging instances for which CPLEX cannot find feasible solution within a reasonable time limit.","PeriodicalId":179068,"journal":{"name":"2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131798329","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Petrol Pump Queue Management System for Sultanate of Oman Using Artificial Intelligence Technique 基于人工智能技术的阿曼苏丹国油泵排队管理系统

2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM) Pub Date : 2019-01-01 DOI: 10.1109/AIAIM.2019.8632790

Sumaiya Salim Al Mahrooqi, Syed Zakir Ali

{"title":"Petrol Pump Queue Management System for Sultanate of Oman Using Artificial Intelligence Technique","authors":"Sumaiya Salim Al Mahrooqi, Syed Zakir Ali","doi":"10.1109/AIAIM.2019.8632790","DOIUrl":"https://doi.org/10.1109/AIAIM.2019.8632790","url":null,"abstract":"This paper discusses issues of managing queues of vehicles at petrol pumps in the Sultanate of Oman and identify solutions to minimize the waiting time. This paper propose the use of an artificial intelligence (AI) based technique to manage queues. The proposed Petrol Pump Queue Management System uses a supervised classification algorithm of machine learning. This is to identify the type of vehicle and be able to estimate the tank size to calculate automatically the time required for refueling. The main idea is to display the timer count on the screens so that the drivers of the vehicles that are in the queue will know the time remaining for each vehicle and accordingly they will be able to decide the choice of a particular queue, when there are multiple queues at the petrol pumps. Alongside, this system will help the workers in the petrol pump station to organize their work as they will be able to track which car is finishing first. As this system will organize the work process in the station with the help of notifications on the screens, any service issue or requirement will get highlighted directly.","PeriodicalId":179068,"journal":{"name":"2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117060487","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Design of Binocular Stereo Vision System with Parallel Optical Axesand Image 3D Reconstruction 平行光轴双目立体视觉系统设计及图像三维重建

2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM) Pub Date : 2019-01-01 DOI: 10.1109/AIAIM.2019.8632788

Kai Ma, Hong Zhou, Jian Li, Hongling Liu

引用次数: 2

Global Exponential Stability of Impulsive Complex-Valued Neural Networks with Proportional Delays 具有比例时滞的脉冲复值神经网络的全局指数稳定性

2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM) Pub Date : 2019-01-01 DOI: 10.1109/AIAIM.2019.8632781

Zhenjiang Zhao, Q. Song

引用次数: 1

Adaptive Testing Tool for Students with Dyslexia 阅读障碍学生自适应测试工具

2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM) Pub Date : 2019-01-01 DOI: 10.1109/AIAIM.2019.8632775

R. Gupta

引用次数: 0

A Mixed Integer Program for the Spanning Distribution Forest of a Power Network 电网跨越分布森林的混合整数规划

2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM) Pub Date : 2019-01-01 DOI: 10.1109/AIAIM.2019.8632783

Michael Palk, R. Jovanovic, S. Voß

{"title":"A Mixed Integer Program for the Spanning Distribution Forest of a Power Network","authors":"Michael Palk, R. Jovanovic, S. Voß","doi":"10.1109/AIAIM.2019.8632783","DOIUrl":"https://doi.org/10.1109/AIAIM.2019.8632783","url":null,"abstract":"In this paper we focus on solving the graph problem of the spanning distribution forest of a power network (SDFPN). The interest for the SDFPN comes from the fact that it well represents practical problems related to the partitioning of power distribution systems. It is closely related to the problem of maximal partitioning of supply demand graphs (MPGSD) and the capacitated spanning forest (CSF) problem that are used for modeling similar real-world systems. It has an advantage, compared to these problems, that it incorporates constraints related to ampacity, radiality, and the balance of consumption/generation in a partition. In this work, a mixed integer program (MIP) is developed for finding optimal solutions for the SDFPN. Next, a greedy constructive algorithm is designed for finding feasible solutions for large problem instances at low computational costs. In the computational experiments, we evaluate the size of graphs that can be solved to optimality using the MIP. The solutions acquired in this way are used to assess the performance of the proposed greedy algorithm.","PeriodicalId":179068,"journal":{"name":"2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125042619","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Stabilization of Dynamical Networks via Constrained Impulse Inputs 基于约束脉冲输入的动态网络镇定

2019 China-Qatar International Workshop on Artificial Intelligence and Applications to Intelligent Manufacturing (AIAIM) Pub Date : 2019-01-01 DOI: 10.1109/AIAIM.2019.8632782

Caiping Chen, Chuandong Li

引用次数: 0