2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)最新文献_第5页

Energy Performance Based Anomaly Detection in Non-Residential Buildings Using Symbolic Aggregate Approximation 基于符号聚合逼近的非住宅建筑能耗异常检测

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) Pub Date : 2018-08-01 DOI: 10.1109/COASE.2018.8560433

Araz Ashouri, Yitian Hu, G. Newsham, W. Shen

引用次数: 3

Algorithms for the flexible cyclic jobshop problem 柔性循环作业车间问题的算法

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) Pub Date : 2018-08-01 DOI: 10.1109/COASE.2018.8560449

F. Quinton, Idir Hamaz, L. Houssin

引用次数: 3

Strategic territorial deployment of hospital pharmacy robots using a stochastic p-robust optimization approach 基于随机p-鲁棒优化方法的医院药房机器人战略区域部署

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) Pub Date : 2018-08-01 DOI: 10.1109/COASE.2018.8560374

Carlos Franco, V. Augusto, Thierry Garaix, Edgar Alfonso-Lizarazo, M. Bourdelin, H. Bontemps

引用次数: 4

Unconstrained Non-negative Factorization of High-dimensional and Sparse Matrices in Recommender Systems 推荐系统中高维稀疏矩阵的无约束非负分解

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) Pub Date : 2018-08-01 DOI: 10.1109/COASE.2018.8560481

Xin Luo, Mengchu Zhou

{"title":"Unconstrained Non-negative Factorization of High-dimensional and Sparse Matrices in Recommender Systems","authors":"Xin Luo, Mengchu Zhou","doi":"10.1109/COASE.2018.8560481","DOIUrl":"https://doi.org/10.1109/COASE.2018.8560481","url":null,"abstract":"Non-negativity is vital for latent factor models to preserve the important feature of most high-dimensional and sparse (HiDS) matrices, e.g., none of their entries is negative. With the consideration of non-negativity, the training process of a latent factor model should be specified to achieve constraints-incorporated learning schemes. However, such schemes are neither flexible nor extensible. This work investigates algorithms of inherently non-negative latent factor analysis, which separates non-negativity constraints from the training process. Based on a deep investigation into the learning objective of a non-negative latent factor model, we separate the desired latent factors from decision variables involved in the training process via a single-element-dependent mapping function that makes the output factors inherently non-negative. Then we theoretically prove that the resultant model is able to represent the original one effectively. As a result, we design a highly efficient algorithm to bring the Inherently Non-negative Latent Factor model into practice. Experimental results on three HiDS matrices from industrial recommender systems show that compared with state-of-the-art non-negative latent factor models, the proposed one is able to obtain advantage in prediction accuracy with comparable or higher computational efficiency. Moreover, such high performance is achieved through its unconstrained optimization process on the premise of fulfilling the non-negativity constraints. Hence, the proposed model is highly valuable for industrial applications required to handle HiDS matrices subject to non-negativity constraints.","PeriodicalId":6518,"journal":{"name":"2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)","volume":"14 1","pages":"1406-1413"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87116926","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

A Cloud-based Pluggable Manufacturing Service Scheme for Smart Factory 基于云的智能工厂可插拔制造服务方案

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) Pub Date : 2018-08-01 DOI: 10.1109/COASE.2018.8560401

Yu-Yang Liu, Min-Hsiung Hung, Yu-Chuan Lin, Chao-Chun Chen, Wei-Lun Gao, F. Cheng

{"title":"A Cloud-based Pluggable Manufacturing Service Scheme for Smart Factory","authors":"Yu-Yang Liu, Min-Hsiung Hung, Yu-Chuan Lin, Chao-Chun Chen, Wei-Lun Gao, F. Cheng","doi":"10.1109/COASE.2018.8560401","DOIUrl":"https://doi.org/10.1109/COASE.2018.8560401","url":null,"abstract":"Implementing intelligent manufacturing services on factory-wide edge devices connected with production equipment efficiently so that those manufacturing services are pluggable, plug-and-play, and manageable through the network is a challenging task and is highly beneficial for facilitating realizing a smart factory. This paper proposes a cloud-based pluggable manufacturing service scheme (called CPMSS) by leveraging cloud computing, edge computing, and RESTful Web Service to address this issue. By using a two-layer-RESTful-service mechanism, the manufacturing services can be built in the form of pluggable application module (PAM). The proposed CPMSS allows the engineers to deploy selected PAMs from the cloud to target edge devices efficiently and to run and manage the plugged PAMs remotely through the cloud platform using Web-based GUIs for supporting intelligent manufacturing activities on target production equipment. Thereby, CPMSS can facilitate fast and factory-wide deployment of intelligent manufacturing services on edge devices for supporting smart manufacturing. Finally, an industrial case study performing predictive maintenance (PdM) on PECVD equipment of a solar cell manufacturing factory is used to demonstrate the effectiveness of the CPMSS.","PeriodicalId":6518,"journal":{"name":"2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)","volume":"51 1","pages":"1040-1045"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90058232","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: 7

Collision Avoidance System for the RP Survey and Visual Inspection Train in the CERN Large Hadron Collider 欧洲核子研究中心(CERN)大型强子对撞机RP调查与目视检查列车避碰系统

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) Pub Date : 2018-08-01 DOI: 10.1109/COASE.2018.8560485

L. Grech, G. Valentino, M. D. Castro, C. V. Almagro

引用次数: 2

An Open-Access Passive Modular Tool Changing System for Mobile Manipulation Robots 一种开放存取的移动操作机器人被动模块化换刀系统

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) Pub Date : 2018-08-01 DOI: 10.1109/COASE.2018.8560398

R. Berenstein, A. Wallach, Pelagie Elimbi Moudio, Peter Cuellar, Ken Goldberg

引用次数: 9

Characterizing the Worst-Case Wafer Delay in a Cluster Tool Operated in a $K$-Cyclic Schedule 在$K$循环调度下运行的集群工具中最坏情况下晶圆延迟的特征

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) Pub Date : 2018-08-01 DOI: 10.1109/COASE.2018.8560521

Dong-Hyun Roh, Tae-Eog Lee

{"title":"Characterizing the Worst-Case Wafer Delay in a Cluster Tool Operated in a $K$-Cyclic Schedule","authors":"Dong-Hyun Roh, Tae-Eog Lee","doi":"10.1109/COASE.2018.8560521","DOIUrl":"https://doi.org/10.1109/COASE.2018.8560521","url":null,"abstract":"Cluster tools are widely used manufacturing equipment in semiconductor manufacturing systems and consist of several process chambers, loadlock modules, and a wafer transport robot. The operation of the cluster tool relies on decision making about the robot operations. Generally, a robot iteratively determines its next task according to a given task sequence. This tool schedule is called a cyclic schedule. If the same timing pattern repeats every $K$ work cycles in a cyclic schedule, the schedule is called a $K$ -cyclic schedule. In a cluster tool with a $K$ -cyclic schedule, wafer delay, which is the time that a processed wafer is stored in the process chamber, becomes an important issue. In this study, we identify the worst-case wafer delay, which is the maximum value of wafer delay among all the $K$ -cyclic schedules a cluster tool can have. To do this, we present timed event graph models for dual-armed and single-armed cluster tools and briefly explain the previous research on closed-form formulae of token delays in timed event graphs with K-cyclic schedules suggested by Lee et al. [1]. Finally, we propose a method for deriving a closed-form formula for the worst-case wafer delay in a cluster tool, which can be applied to arbitrary wafer flow patterns and time parameters.","PeriodicalId":6518,"journal":{"name":"2018 IEEE 14th International Conference on Automation Science and Engineering (CASE)","volume":"25 1","pages":"1562-1567"},"PeriodicalIF":0.0,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81074389","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: 0

An effective tabu search for job shop scheduling with parallel machines 并行作业车间调度的有效禁忌搜索

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) Pub Date : 2018-08-01 DOI: 10.1109/COASE.2018.8560516

Tadeu K. Zubaran, M. Ritt

引用次数: 0

On a class of multi-input laplacian controllable graphs 一类多输入拉普拉斯可控图

2018 IEEE 14th International Conference on Automation Science and Engineering (CASE) Pub Date : 2018-08-01 DOI: 10.1109/COASE.2018.8560603

Ping Yang, S. Hsu

引用次数: 1