幸福用友在云端

用友云战略,简单讲就是＂软件＋服务＂。客户既可以选择用友的软件和解决方案,也可以选择用友的云服务,还可以选择＂软件＋服务＂组合。     

中国经济新常态下企业如何“走出去”？

中国企业不要为了＂走出去＂而走出去,当你＂走出去＂的时候,一定要清楚自己到底是要资源还是要市场？战略一旦制定,就要坚定不移。     

北京迈向“世界城市”的路线图——读金元浦《北京：走向世界城市》拾片

＂文章合为时而著＂。摆在读者面前的这部《北京：走向世界城市》,是以著名学者金元浦教授为主编、集纳诸多学者、专家、官员智慧撰写成的＂北京建设世界城市发展战略研究报告＂。为＂北京建设世界城市＂集思广益、出谋划策、擘画出一纸清晰可见的完美＂路线图＂。     

携手启迪 创新东丽 共赢未来

创新东丽把握滨海发展机遇＂十二五＂是中国产业升级和经济转型关键期,天津市东丽区牢牢把握战略转型期的核心,把创新上升到前所未有的战略高度。创新是一项系统工程,需要从各个层面去推进和完善。     

科技·资讯

全球视野下的知识产权战略研讨会在北京召开 2014年10月29日,在中关村科技园区管理委员会、北京市知识产权局、北京市经济和信息化委员会的共同指导下,由中关村智汇产业技术研究所、汤森路透、中关村知识产权促进局联合主办的＂全球视野下的知识产权战略研讨会＂在北京成功召开。     

创新驱动中国

五月的北京分外热闹,历时6天的科博会给观众带来一场顶级的＂科技盛宴＂：成果展览绚丽多彩、会议论坛精彩纷呈、推介交易硕果累累。从国家到地方、从央企到民营高科技龙头企业,都突出展示了＂十二五＂发展战略布局。中关村依然是引人瞩目的＂明星展团＂,作为战略性新兴产业策源地,     

中关村欲设“人才特区”拥抱海归人才

中关村管委会相关部门正在加快研究制定建设＂中关村海归人才特区＂战略,将在特定区域针对特殊群体制定特别的政策和措施,创造一个特殊的创业环境。     

夯实产业大格局,中关村打造“一城三街”

以＂大上地＂地区为核心打造中关村软件城,发展适合首都城市战略定位的软件和信息服务业;以中关村西区为核心,建设创新创业孵化一条街、科技金融一条街、知识产权与标准化一条街,发展科技服务业——中关村管委会和海淀区于近日联合宣布,作为构建＂高精尖＂经济结构的重要手段,在中关村核心区打造的＂一城三街＂已经初现雏形。     

科技·资讯

京冀共建张北云计算产业园在2014年8月21日举行的＂张家口（张北）云计算产业园对接推介会＂上,北京市经信委和河北省工信厅签订了战略合作框架协议,京冀两地将发挥中关村示范区大数据产业优势,共建张北云计算产业园。张北云联数据中心、＂京北云谷＂云计算与智慧产业基地等项目入驻该园区。其中,＂京北云谷＂的定位是建成京津冀区域规模最大的云计算与数据中心产业基地。     

“三十而立”,续写新的辉煌篇章——致“中关村民营科技企业创业三十周年”庆祝会的贺信

欣悉中关村＂庆祝中关村民营科技企业创业三十周年暨中关村发展战略研讨会＂行将开幕,我谨向大会的召开表示热烈的祝贺!向出席大会的各位领导和各界朋友表示亲切的问候!     

雍和园 文化和科技融合的璀璨华章

针对东城区及雍和园区域特殊的历史和人文环境,雍和园因地制宜,突破了传统科技园区以招商引资为生命线的扩张型发展模式,走出了一条通过内部循环更新实现发展的新路径。将文化创意产业打造成为连接文物古迹、胡同风貌和工业遗存的纽带,激发创新创意活力,促进了城市文化自身的有机更新。     

Personal Authentication Using a Kinect Sensor

This article proposes a new approach to personal authentication by exploring the features of a person’s face and voice. Microsoft’s Kinect sensor is used for facial and voice recognition. Parts of the face including the eyes, nose, and mouth, etc., are analyzed as position vectors. For voice recognition, a Kinect microphone array is adopted to record personal voices. Mel-frequency cepstrum coefficients, logarithmic power, and related values involved in the analysis of personal voice are also estimated from the voices. Neural networks,support vector machines and principal components analysis are employed and compared for personal authentication. To achieve accurate results, 20 examinees were selected for face and voice data used for training the authentication models. The experimental results show that the best accuracy is achieved when the model is trained by a support vector machine using both facial and voice features.     

羊：求福祈祥与情色狂欢

羊以它的无辜的生命作为代价,为爱情和婚姻,为友谊和亲朋,为团结和民族,为神佑和人类,求福祈祥。     

Facebook Content Strategies and Citizens’ Online Engagement: The Case of Greek Local Governments

This paper analyzes the communication strategies used by Greek local governments through the utilization of Web 2.0 technologies, specifically Facebook, and the effectiveness of these strategies in relation to citizens’ online engagement. More specifically, it examines Facebook communication strategies and levels of citizens’ engagement. For this purpose, we conducted a content analysis on the active and official Facebook pages of local municipalities in Greece from January 2017 until the end of September 2017. Our results suggest a rise in the percentage of active Facebook pages maintained by local governments in comparison to our 2014 study. Our results also show that local governments in Greece are using Facebook in a predominantly top-down manner to promote events organized by the municipality and to push one-way information to citizens about their services and actions. Local authorities have, however, made significant progress in relation to posts that support transparency and accountability and that enhance or mobilize citizens’ participation. Our evaluation of local government Facebook strategies indicates that marketing the municipality to external public, such as tourists, and providing information about services are effective strategies that drive citizens’ online attitude expression (liking), engagement (commenting), and advocacy behavior (sharing). According to our analysis, local governments in Greece prefer the strategies that we found to be the least engaging. In addition, our study provides interesting details of how specific characteristics and modes of Facebook messages (photos, videos, URLs, hashtags, and mentions) impact on citizens’ engagement. Finally, our results provide valuable insights for social media managers in local government who aim to increase the impact of their municipal Facebook pages.     

中关村西区业态调整又上一层楼

2012年5月28日上午,中关村国际数字设计中心举行揭牌仪式。该中心的启用是海淀区实施中关村西区业态调整的一个重要成果。把电子卖场改造成新兴产业创新要素的聚集区,对周边楼宇的产业转型和升级具有一定的带动和示范作用。市科协党组书记常务副主席夏强、海淀区委副书记、代区长孙文锴、中关村科技园区管理委员会副主任王汝芳、区委常委、宣传部长陈名杰等有关单位领导参加了揭牌仪式。     

A Practical Teacher–Robot Collaboration Lesson Application Based on PRINTEPS

To support elementary school teachers in teaching by encouraging active learning while maintaining the interest of pupils, this study focuses on supporting teaching, learning, and monitoring the progress of students through a Teacher–Robot collaboration lesson application using not only laptops and tablets, but also robots and sensors. Since developing a lesson application is time consuming for teachers, we have developed an integrated intelligent application development platform named PRactical INTElligent aPplicationS (PRINTEPS) to aid Teacher–Robot collaboration. However, several functions and interfaces for education are missing. Therefore, in this study, we extend several functions for education to PRINTEPS. In addition, since it is necessary in learning and monitoring the progress of students to present learning content suitable to each pupil’s level of understanding, we also have provided support through the use of a tablet quiz system based on ontologies and rule bases. In the case study, we developed a Teacher–Robot collaboration lesson application and conducted lessons for sixth-grade pupils at an elementary school. From the case study, we have confirmed the effectiveness of our platform and the application.     

An Exploratory Look at Supply Chains in Japan from Multiscale Network Perspectives

In social network analysis, advances in social networking and computing techniques have increasingly become a popular approach for extracting features and rules of real-world networks. The network language—\(G=\{V, E \}\) provides a common representation of various networks, where G, V, and E denote the system, components, and interactions, respectively. In this study, we employ this emerging technique to discuss supply chains in Japan. We construct the supply network (i.e., system) based on the firms (i.e., components) and their transactional relationships (i.e., interactions). In comparison with the traditional approaches of industrial sectors and regional clusters, this study represents an exploratory look at supply networks, and investigates different scales of supply networks from three perspectives. (1) In the macro-scale perspective, we evaluate the “small-world” separation of supply networks using average path length. (2) In the meso-scale perspective, we detect communities of the supply networks, which can be marked for cross-location and cross-industry features. (3) In the micro-scale perspective, we investigate the “scale-free” nature of supply networks and each community using node degree-prior connections, which can find “hub” firms and simultaneously estimate the robustness of supply networks using a sequential elimination choice strategy of these hubs.     

A New Type of Computer Premium and Its Correlation to Individual Wages

This paper examines statistical correlations between workers?? income levels or wages, and Information and Communication Technology (ICT). The analyzed data set is micro data collected through the Web in 2008 and 2010 by the Research Institute for Socionetwork Strategies. This micro data estimates the rank correlation of income classes with respect to three types of ICT labor service. Next, multiple linear regression functions are estimated for the wage levels with respect to age, sex, years of continuous employment, and three types of ICT labor service over all industries and in the manufacturing industry or service industry. Finally, a multiple regression analysis is conducted for individual utility levels with respect to income, leisure, and three types of ICT labor service. The results show that, first, the coefficients of rank correlation for all pooled data are positive and statistically significant. Second, individual ICT labor services have positive effects on workers?? wage levels, and the partial regression coefficients are statistically significant. Third, the partial regression coefficient of personal computer operation time decreased but the partial regression coefficient of mobile computer operation time related to work increased drastically from 2008 to 2010. Fourth, the use of the personal and mobile computer shifts the utility function upward with respect to income and leisure.     

The Role of Cross-Border Networks of Skilled Labor in Offshore Outsourcing: Empirical Evidence Based on the Network Theory

This study investigates the determinant role of the cross-border movement of skilled labor in the expansion of service trade between the US, and both developed and developing countries. For this purpose, we employ the key concepts of network theory as an analytical framework and conduct panel data analysis and graphical modeling analysis for 31 countries from 1999 to 2008. In this decade, offshore outsourcing in the service trade took off worldwide. We use data for each country’s service exports to the US, number of H-1B visas issued, GNI per-capita, network readiness index, and an English dummy for the official language. We illustrate the trajectory and interactions between these factors. These analyses yield three observations. First, service trade with the US is more intensive among higher income countries. Second, the number of H-1B visas issued has a positive effect on service exports to the US. Third, individuals in lower income countries tend to desire H-1B visas and create intensive skilled labor networks with the US, the path through which developing countries such as India expanded their service exports to the US.     

PRINTEPS: An Integrated Intelligent Application Development Platform based on Stream Reasoning and ROS

Although AI and service robot applications have become very popular in many domains recently, many of them are specific applications and it is still difficult to develop integrated intelligent applications such as a robot teahouse and teaching assistant robots. To develop such integrated intelligent applications, we need integrated intelligent application platforms that have AI integration and agile process facilities. From the above background, we are currently developing PRactical INTElligent aPplicationS (PRINTEPS), which is a platform for developing integrated intelligent applications by combining only five types of modules, namely knowledge-based reasoning, spoken dialogue, image sensing, motion management, and machine learning. This paper proposes a workflow editor in PRINETPS based on a service-oriented architecture and a Robot Operating System that enables real-time parallel processing for multiple robots and sensors by integrating the five types of modules. The editor also supports not only developers but also domain experts in updating workflows frequently. This paper also proposes a novel method to integrate signals acquired through image sensing with knowledge (ontologies and business rules) using C-SPARQL and Semantic Web Rule Language. To evaluate PRINTEPS, we developed a robot teahouse application including customer reception and guidance to table services using a humanoid robot with PRINTEPS. Through this case study, we demonstrated that the behaviors of the robot can be modified by changing the workflow, the ontology, and the rules.