京滨工业园：服务制胜

大产业铸就大发展，大思路成就大事业。世侨总部基地落户仅是繁花一朵．如今京滨工业园已是硕果累累。     

京津一体化进程加速京滨工业园借势腾飞

支持武清区打造京津产业新城，承接北京高新技术企业转移和最新研究成果．实现共同发展。“这是一次新的历史机遇，我们有信心借势助京滨工业园实现跨越式发展。”     

京滨工业园：“三高”制胜

坚持＂高起点规划,高标准建设,高效能管理＂,京滨工业园不到3年累计引进内外资项目280余家,实现招商引资300亿元,已初步形成了主导产业清晰、大项目龙头带动、小企业科技含量高的高速发展新格局。     

京滨工业园:京津冀协同发展先行区

2014年2月26日，持续一周的北京雾霾开始退去，这一天，中共中央总书记习近平召开了京津冀协调发展座谈会，并提出了七点要求，对京津冀一体化以及统筹安排三地功能定位、产业分工、城市布局、设施配套、综合交通体系等重大问题提出了指导性意见。看到这则消息的中共天津市武清区大王古庄镇党委书记、京滨工业园开发有限公司总经理郭新华兴奋得一晚上睡不着觉。     

英华达的智慧

采访对象:英华达公司副总裁何代水,2001年度中国台湾资讯十大杰出人物. 采访人:吕文锦 田芳 采访地点:上海曹家泾工业园业区英华达公司会议室 问:请介绍一下英华达公司的特点?     

企业信息

英飞拓梅州分公司开工在即2008年8月10日上午,英飞拓公司梅州分公司在广州(梅州)产业转移工业园(畲江园区)举行盛大开工典礼。梅州市市长李嘉,市委常委、常务副市长张远方,美国英飞拓全     

华夏幸福将打造河北大厂高新影视文化科技产业园

8月16日,华夏幸福与中国国际电视总公司在河北大厂举行签约仪式,将共同打造大厂高新影视文化科技产业园。据悉,大厂高新影视文化科技产业园处于潮白河工业园工业区与住宅区的过渡带上。园区规划面积726亩,包括高科技拍摄录制区、后期特效制作区、数字化舞美基     

宇航时代护航“平安奥运”

2008年8月10日上午，英飞拓公司梅州分公司在广州（梅州）产业转移工业园（畲江园区）举行盛大开工典礼。梅州市市长李嘉，市委常委、常务副市长张远方，美国英飞拓全球总裁刘肇怀先生，深圳荚飞拓科技股份有限公司总经理张衍锋等出席了开工典礼。刘肇怀先生代表英飞拓公司在动工典礼上致辞。     

实现梦想的上地 创造巨人的“上帝”——上地信息产业基地和北京实创总公司简介

北京上地信息产业基地发端于1991年,是全国第一家以信息产业为主体的高科技术产业基地;堪称“中国硅谷”——中关村的“一颗明珠”。上地信息产业基地作为我国第一个以IT产业为主导的高科技工业园,历经14年的经营擘画,已从昔日的一片村庄,变成今日人文环境优越、基础设施完备、     

硅谷是什么?

硅谷,按美国《哥伦比亚简明百科全书》的注释是:一个长度大约32英里的工业区,位于加利福尼亚的帕拉阿图和圣何塞之间,许多制造和设计IC芯片的公司位于此处,而名称则来源于用来制造这些IC芯片的高纯度硅。按惯例,硅谷是指从美国洛杉矶南部到新泽西州的长约35英里的一块条状平坦谷地,面积1500平方公里,现有人口250万,其中40％为亚裔,10％为南美和西班牙移民。硅谷原来是一个以种植杏树为主的农业地区,到20世纪50年代,在斯坦福工业园创立了高技术产业基础;60年代,富于创新精神的微电子公司成长起来;70年代,有了自己的社会网络、产业基础、金融服务等创新环境;80年代,     

An Advertising Strategy Using Consumption Externality and Forgetting in the Case of Japanese Electronic Books

We construct a two-period model in which a consumer recognizes the existence of goods after advertised by firms, and total sales of the first period affect the utility of each consumer’s purchase in the second period, indicating a consumption externality. Some consumers see advertisements in the first period and remember the product, whereas some forget the product in the second period. We show that the advertising volume changes given the differences in the forgetting rate. In particular, we apply our method to the data on Japan’s electronic books obtained through a conjoint analysis survey to clarify that a better strategy is to sell a product to a small number of people at a low price or to lower the price to a certain level during the early period, and then to sell the product to a specific consumer segment at a higher price after reflecting the externality.     

Integrating Smart Glasses with Question-Answering Module in Assistant Work Environment

Recently, smart glasses have been applied in the field of maintenance, with which a worker goes well during work by contacting a support operator from a remote location. The worker, however, cannot go well if the support operator is not there. To solve the issues, this paper discusses how a work system should be developed by integrating smart glasses with a question-answering module. We design the work knowledge acquired from skilled people and manuals as a workflow for when type of question, rule base for how, goal tree for why, domain ontologies, and its RDF data for what. Workers can receive answers from the question-answering module incorporated with multiple knowledge bases for four types of question. The authors conducted a demonstration experiment and found that workers could perform the work more autonomously by importing the system.     

“创新引领未来，创意改变世界”——中关村自主创新成果展亮相第十五届北京科博会

2012年5月23日,第十五届中国北京国际科技产业博览会于中国国际展览中心拉开帷幕。其中,4号馆内,以“创新引领未来．创意改变世界”为主题的中关村国家自主创新示范区自主创新成果展,展现了城市“智慧”．点亮了百姓生活。     

An Interactive Independent Topic Analysis for a Mass Document Review Service

In this paper, we propose an interactive constrained independent topic analysis in text data mining. Independent topic analysis (ITA) is a method for extracting independent topics from document data using independent component analysis. In this independent topic analysis, the most independent topics between each topic are extracted. By extracting the independent topic, managing documents with a large number of text data is easy with document access support systems and document management systems. However, the topics extracted by ITA are often different from the topics a user requests. For the system to be of service to users, an interactive system that reflects the user’s requests is necessary. Thus, we propose an interactive ITA that works for the user. For example, if there are three topics, i.e., topic A, topic B, and topic C, and a user choose the content from topics A and B, a user can merge those topics into one topic D. In addition, if a user wants to analyze topic A in more detail, a user could separate topic A into topics E and topic F. To that end, we define Merge Link constraints and Separate Link constraints as user requests. The Merge Link constraint is a constraint that merges two topics into one topic. The Separate Link constraint is a constraint that separates two topics from one topic. In this paper, we propose a method for extracting a highly independent topic that meets these constraints. We conducted evaluation experiments on our proposed methods, and obtained results to show the effectiveness of our approach.     

Prediction Model for Bollywood Movie Success: A Comparative Analysis of Performance of Supervised Machine Learning Algorithms

The main purpose of this paper is to do a comparative analysis of prediction models using various machine learning techniques. The models will be used to predict whether a movie will be a hit or flop before it is actually released. The techniques used for comparisons are decision tree, random forest (RF), support vector machine, logistics regression, adaptive tree boosting, and artificial neural network algorithms. The major predictors used in the models are the ratings of the lead actor, IMDb ranking of a movie, music rank of the movie, and total number of screens planned for the release of a movie. The results of most models indicated a reasonable accuracy, ranging from 80 to 90%. However, models based on two techniques, RF and logistic regression, achieved an accuracy of 92%. From the results, the most important predictors of a movie’s success are music rating, followed by its IMDb rating and total screens used for release.

     

Parallel Consultant-Guided Search with Crossover

Consultant-guided search (CGS) is a recent metaheuristic method. This approach is an algorithm in which a virtual person called a client creates a solution based on consultation with a virtual person called a consultant. In this study, we propose a parallel CGS algorithm with a genetic algorithm’s crossover and selection, and calculate an approximation solution for the traveling salesman problem. We execute a computer experiment using the benchmark problems (TSPLIB). Our algorithm provides a solution with less than 3.3% error rate for problem instances using less than 6000 cities.     

海淀北部高新区——实创股份2011年建设与发展之路

在“中关村国家自主创新示范区核心区2011年支持科技创新政策兑现大会”上,海淀区区长隋振江表示,海淀区将在优化软环境建设的同时．加强基础环境建设,加大北部产业聚集区开发力度。而根据海淀区关于北部地区的规划,“到2020年,北部将建成具有全球影响力、产值过万亿、人口百万的科技创新基地．成为城乡统筹发展的典型地区和生态环境一流的城市发展新区。”这也是海淀北部区域未来十年的发展目标。     

Broadband Demand Analysis for Network Building

An increase of broadband demand is forecasted by transitional methods that consider the effect of this increase through many factors, such as customer requirement diversification, and new service introduction and deployment under competition. Broadband demand forecasting has become important for closing the digital divide, promoting regional developments, and constructing networks economically; therefore, a demand forecast model that considers the mechanisms of market structure is necessary. In this paper, a demand analysis method for broadband access combining macro- and micro-data mining is proposed, and the service choice behaviour of customers is introduced as a customer model not only to express the macro trend of market structure, but also to consider area marketing. The proposed method can estimate the potential demand, determine the point at which broadband demand growth peaks in a specified area, and support a decision for ultra high-speed broadband access facility installation.     

Research Note: A High Resolution Graph Viewer for Multi-monitor Visualization Environment

Bigdata analysis is a hot topic in all fields of science. Particularly in scientific fields investigating data relations, observation and analysis of relation among diverse data sets has begun to play a role of great importance. A graph is a representative expression for the purpose and many graph viewers and tools prevail today. However, most of these graph viewers do not offer the capability for displaying graphs on a multi-monitor visualization environment, even though multi-monitor visualization environment facilitates scientists in understanding data in a more detailed and intuitive manner. In this paper, our first exploration towards a high resolution graph viewer for a multi-monitor visualization environment is explored and reported.     

Evaluation of a Multi-robot Cafe Based on Service Quality Dimensions

While AI applications are popular in many domains, they should work harmoniously with domain exerts and end users. Furthermore, to develop such harmonious AI applications, we need agile AI platforms for not only developers, but also domain experts. Currently, we have developed PRactical INTElligent aPplicationS (PRINTEPS), which is a user-centric platform to develop integrated intelligent applications. This paper reports on a multi-robot cafe as a practical application of PRINTEPS and evaluates its service quality at a university festival. It is not clear if robotic services are perceived as attractive and/or valuable, and how the concept of robotic services could lead to customer satisfaction. Therefore, the evaluation of the quality of such services is necessary to identify the key factors that could contribute to improving customer satisfaction. The purpose of this research is to identify key factors in improving customer satisfaction in robotic services by evaluating the service quality of the multi-robot cafe. We designed questionnaire items based on SERVQUAL which is one of the service quality evaluation measurement methods and conducted a questionnaire survey at a multi-robot cafe held at a university festival. From the collected data, we modeled and evaluated the relationship between service quality and customer satisfaction to identify key factors in robotic services using a Bayesian network. In addition, the experiment confirms the usefulness of PRINTEPS.