服装制造企业计算机排料系统满意度评价研究

在分析现有服装裁片排料系统常见问题及其对产品满意度影响的基础上，根据服装裁片排料系统及其使用对象的特点，研究了此类系统的满意度评价指标和评价方法。通过建立服装裁片排料系统的满意度模型，对不同排料方法和系统的满意度进行了评价，为相关系统的开发提供了依据。     

PDM在制造企业中的应用

通过分析制造企业与产品有关的信息流程，详细描述了在制造企业中构建PDM的方法，并给出了一个以PDM产品IMAN为集成平台的CAD／CAPP／CAM系统集成结构及实现方案。     

客户评论中用户体验信息自动提取研究

客户评论在人们的日常生活中越来越重要,人们希望从客户评论中获取商品的用户体验信息.客户评论数量的急剧增长使得用户快速、精准地获取有用的信息变得较为困难.为此,提出一种能够自动提取用户体验信息的方法.该方法通过语义片段过滤评论中的冗余信息,提取产品特征词及特征描述词,将其结合组成用户体验信息,自动获取信息能够迅速、准确地从客户评论中提取信息.实验结果证明了该方法的有效性,并且能够保证较高的准确率与查全率.     

超级计算中心客户细分及差异化服务策略研究

本文以中国科学院计算机网络信息中心超级计算中心（以下简称超级计算中心）客户服务工作为研究对象,运用 K-means 算法对客户进行细分,进而对每类客户群提出相应的差异化服务策略。实施差异化服务策略可以更好地分配资源、提供更有效的客户服务。     

西南干旱地区城市水系规划研究——以昆明高新产业基地为例

针对西南干旱地区干湿分明,雨季单点暴雨强度大,旱季水资源不足,地形坡度大等特点,以昆明高新产业基地开发建设为例,运用斑块-廊道-基质模式理论以及集聚间有离析最优格局理论,对区域现状水系进行梳理及改造,结合水系功能的转变,构建与城市发展相适宜的防洪与景观体系。通过对河道、池塘特征的系统分析研究,确定了水系的生态需水量。根据生态需水量的研究成果,提出了利用上游水库、区域内库塘蓄水及城市再生水等满足生态需水要求的措施,保证旱季生态需水要求,满足水系生态系统在不同时期的完整性。     

WLAN广域覆盖技术及应用策略研究

目前,WLAN的主要建设模式以室内独立放装和室分系统合路方式为主,室外广域覆盖模式应用策略不明确,规划建设不是很成熟。对WLAN广域覆盖存在的问题和解决思路进行了研究,并进行了大量的测试工作,对测试结果进行了深入分析,最终给出了WLAN广域覆盖的应用建议。     

软件工程专业硬件课程内容需求初步调查报告

计算机硬件是计算机系统的基础,软件工程的学生也需要了解一定的硬件知识,才能更好地学习软件管理与开发。但其对硬件知识的需求并不同于计算机科学专业,为了更合适地设置软件工程专业的硬件课程,我们开展了软件工程专业硬件课程内容需求的调查。调查结果对课程设置以及课程内容的安排有一定的参考作用。     

Asynchronous action-reward learning for nonstationary serial supply chain inventory control

Action-reward learning is a reinforcement learning method. In this machine learning approach, an agent interacts with non-deterministic control domain. The agent selects actions at decision epochs and the control domain gives rise to rewards with which the performance measures of the actions are updated. The objective of the agent is to select the future best actions based on the updated performance measures. In this paper, we develop an asynchronous action-reward learning model which updates the performance measures of actions faster than conventional action-reward learning. This learning model is suitable to apply to nonstationary control domain where the rewards for actions vary over time. Based on the asynchronous action-reward learning, two situation reactive inventory control models (centralized and decentralized models) are proposed for a two-stage serial supply chain with nonstationary customer demand. A simulation based experiment was performed to evaluate the performance of the proposed two models. Chang Ouk Kim received his Ph.D. in industrial engineering from Purdue University in 1996 and his B.S. and M.S. degrees from Korea University, Republic of Korea in 1988 and 1990, respectively. From 1998--2001, he was an assistant professor in the Department of Industrial Systems Engineering at Myongji University, Republic of Korea. In 2002, he joined the Department of Information and Industrial Engineering at Yonsei University, Republic of Korea and is now an associate professor. He has published more than 30 articles at international journals. He is currently working on applications of artificial intelligence and adaptive control theory in supply chain management, RFID based logistics information system design, and advanced process control in semiconductor manufacturing. Ick-Hyun Kwon is a postdoctoral researcher in the Department of Civil and Environmental Engineering at University of Illinois at Urbana-Champaign. Previous to this position, Dr. Kwon was a research assistant professor in the Research Institute for Information and Communication Technology at Korea University, Seoul, Republic of Korea. He received his B.S., M.S., and Ph.D. degrees in Industrial Engineering from Korea University, in 1998, 2000, and 2006, respectively. His current research interests are supply chain management, inventory control, production planning and scheduling. Jun-Geol Baek is an assistant professor in the Department of Business Administration at Kwangwoon University, Seoul, Korea. He received his B.S., M.S., and Ph.D. degrees in Industrial Engineering from Korea University, Seoul, Korea, in 1993, 1995, and 2001 respectively. From March 2002 to February 2007, he was an assistant professor in the Department of Industrial Systems Engineering at Induk Institute of Technology, Seoul, Korea. His research interests include machine learning, data mining, intelligent machine diagnosis, and ubiquitous logistics information systems. An erratum to this article can be found at     

基于DSL的装备保障领域建模

基于领域专用语言构建了装备保障领域的元模型,描述了实体、关系、行为、约束、流程等基本要素,在该模型中,二次开发人员能够方便地对该领域的各类软件系统进行建模,并通过模型精化来自动生成最终的可执行系统。实验证明,该模型是有效的。     

医院客户关系管理系统体系结构设计

HCRM是医院客户关系管理系统的简称。其主要目的是通过建立HCRM系统,想方设法为客户提供全方位的、满意的服务,以维持和保留现有客户,吸引潜在客户,去提高医院的核心竞争力。该文根据客户关系管理的管理理念和机制,结合医院管理的实际情况,对医院客户关系管理(HCRM)软件的需求分析、数据字典的准备等进行深入细致的研究。将统一建模语言(UML)应用于系统的开发设计中,采用先进的开发工具,数据交换为基于网络的C/S结构,自顶向下设计,考虑用户的特定需求,采用面向对象的方法设计用户界面,并提出相应的解决方案。