基于机载LiDAR的数字电网巡线应用研究

随着智能电网建设的大规模开展,对电网快速、高精度勘测、巡查和可视化管理提出了巨大的应用需求。本文对基于机载LiDAR的电力巡线应用进行系统研究,首先对电力巡线的需求进行了分析和总结,其次,提出了基于输电线路LiDAR点云数据自动提取电力线的思路与方法,对剖面切割滤波方法进行植被提取的实用性进行了分析探讨。最后,以南方电网LiDAR勘测项目为例,对基于LiDAR的电力线提取精度进行了试验评定,表明基于LiDAR可快速高精度建立三维数字电网数据库,满足智能电网应用要求。     

智能电网综述

本文针对电力系统在新世纪面临的分布式电源并网、电网利用系数低以及数字化技术应用等诸多挑战,提出智能电网的概念。从国内外智能电网发展现状、智能电网的核心内涵和技术框架、智能电网的关键技术等多个方面,对智能电网做一个简要的介绍。     

基于Web Service的网格资源框架WSRF

介绍了网格技术的最新发展——网格资源架构技术WSRF。WSRF是开放式网格服务基础框架OGSI的进化和重构,是Web Service和网格的深度融合。同时介绍了WSRF的规范以及WSRF是如何对物理资源构造的。     

Improving the retrieval effectiveness of very short queries

This paper describes an automatic approach designed to improve the retrieval effectiveness of very short queries such as those used in web searching. The method is based on the observation that stemming, which is designed to maximize recall, often results in depressed precision. Our approach is based on pseudo-feedback and attempts to increase the number of relevant documents in the pseudo-relevant set by reranking those documents based on the presence of unstemmed query terms in the document text. The original experiments underlying this work were carried out using Smart 11.0 and the lnc.ltc weighting scheme on three sets of documents from the TREC collection with corresponding TREC (title only) topics as queries. (The average length of these queries after stoplisting ranges from 2.4 to 4.5 terms.) Results, evaluated in terms of P@20 and non-interpolated average precision, showed clearly that pseudo-feedback (PF) based on this approach was effective in increasing the number of relevant documents in the top ranks. Subsequent experiments, performed on the same data sets using Smart 13.0 and the improved Lnu.ltu weighting scheme, indicate that these results hold up even over the much higher baseline provided by the new weights. Query drift analysis presents a more detailed picture of the improvements produced by this process.     

智慧城市政策推进城市技术创新的机理研究--基于演化特征与传导效应的双重视角

政策形态是智慧城市的核心要素，基于城市应用服务的智慧城市政策推动了城市技术创新。应用核密度估计与核函数分解，分析智慧城市引导型、支持型与均衡型政策的动态演化，明晰异质引导与协同溢出两个演化特征阶段，基于政策传导领域因素构建智慧城市政策推进城市技术创新的机理模型，利用倾向得分匹配方法进行实证检验。结果表明：智慧城市政策演化具有阶段差异，智慧城市政策能够促进城市技术创新且产生技术正向外溢；智慧城市物联网络基础设施结构嵌入与城市技术创新呈现正相关关系；信息服务价值嵌入、智慧应用资源配置与智慧产业结构性竞争呈现正相关关系；智慧产业结构性竞争在信息服务价值嵌入与城市技术创新、智慧应用资源配置与城市技术创新之间存在部分中介效应。研究结论为智慧城市建设提供了理论导向与实践参考价值。     

基于GSI的网格安全改进授权模型设计与实现

一种面向数据库资源的网格安全基础架构:Database Grid Security Infrastructure(DGSI)模型。这种模型是一个基于GSI验证机制前提,针对数据库资源,面向网格环境的信息保护与共享安全的基础架构。该模型可为解决网格环境下的数据库资源授权、验证、信任等问题的设计与实现提供参考。     

Big data and Smart data: two interdependent and synergistic digital policies within a virtuous data exploitation loop

This research examines for the first time the relationship between Big data and Smart data among French automotive distributors. Many low-tech firms engage in these data policies to improve their decisions and performance through the predictive capacities of their data. A discussion emerges in the literature according to which an effective policy lies in the conversion of a mass of raw data into so-called intelligent data. In order to understand better this digital transition, we question the transformation of data policies practiced in low-tech firms through the founding model of 3Vs (Volume, Variety and Velocity of data). First of all, this empirical study of 112 French automotive distributors develops the existing literature by proposing an original and detailed typology of the data policies practiced (Low data, Big data and Smart data). Secondly, after specifying the elements of the differences between the quantitative nature of Big data and the qualitative nature of Smart data, our results reveal and analyse for the first time the existence of their synergistic relationship. Companies transform their Big data approach into Smart data when they move from massive exploitation to intelligent exploitation of their data. The phenomenon is part of a high-end loop data exploitation. Initially, the exploitation of intelligent data can only be done by extracting a sample from a large raw data pool previously made by a Big data policy. Secondly, the organization's raw data pool is in turn enriched by the repayment of contributions made by the Smart data approach. Thus, this study develops three important ways. First off, we identify, detail and compare the current data policies of a traditional industry. Secondly, we reveal and explain the evolution of digital practices within organizations that now combine both quantitative and qualitative data exploitation. Finally, our results guide decision-makers towards the synergistic and the legitimate association of different forms of data management for better performance.     

知识网格:知识管理变革的新动力

网格是继Internet之后又一次网络革命,被视为21世纪的新型网络基础架构。知识网格使用户更为有效地获取、发布、共享和管理知识资源。知识网格将对知识管理产生巨大的推动作用,促进知识管理学的真正建立。     

What IoT devices and applications should be connected? Predicting user behaviors of IoT services with node2vec embedding

User-created automation applets to connect IoT devices and applications have become popular and widely available. Exploring those applets enables us to grasp the patterns of how users are utilizing and maximizing the power of connection by themselves, which can deliver practical implications for IoT service design. This study builds an IoT application network with the data of the IFTTT(if this then that) platform which is the most popular platform for self-automation of IoT services. The trigger-action relationships of the IFTTT applets currently activated are collected and used to construct an IoT application network whose nodes are IoT service channels, and links represent their connections. The constructed IoT network is then embedded by the node2vec technique, an algorithmic framework for representational learning of nodes in networks. Clustering the embedded nodes produces the four clusters of IoT usage patterns: Smart Home, Activity Tracking, Information Digest, and Lifelogging & Sharing. We also predict the IoT application network using node2vec-based link prediction with several machine learning classifiers to identify promising connections between IoT applications. Feasible service scenarios are then generated from predicted links between IoT applications. The findings and the proposed approach can offer IoT service providers practical implications for enhancing user experiences and developing new services.     

Determinants of Internet standards adoption: The case of South Korea

We develop an adoption model of infrastructure technologies and test it with survey data collected from companies in six industries in South Korea (hereafter: Korea). The implementation of a new Internet standard such as Internet Protocol version 6 (IPv6) depends on the usefulness of the technology to the adopting organizations and the environment in which they operate. The adoption of IPv6 in Korea is mostly driven by a governmental strategy that created user demand, and normative pressure. IPv6 adoption in Korea is also driven by perceived resource concentration and power due to the uneven allocation of IPv4 addresses. Conversely, killer applications, technical sponsorship and financial factors had no influence on the adoption decision by Korean companies. Taken together, the findings of our explorative study suggest the need to consider technical as well as social and policy factors to understand the adoption dynamics of infrastructure technologies.     

Sustainable food smart manufacturing technology

At present, the research and development in the food processing technology sector have generally been driven by the large manufacturing drivers that enhance the effectiveness of the economic scale. Increasing demand for high-quality, innovative texture-building foods, consumer requirements for customized products (i.e., fat, sugar, and micronutrient content), and the limited availability of ingredients and services are pressuring the business industry to use innovative technology to allow a more sustainable food supply. People need a successful approach for potential industrial technologies, and one of the key elements of the industry is Sustainable Food Smart Manufacturing Technology (SFIMT). Advanced methods and techniques are needed to select the appropriate alternate for SFIMT technologies. This paper summarizes technology in food processing and presents a modern framework to guide potential assessments. An innovative empirical evaluation method is proposed to provide several criteria for recognizing the suitability of different food technology for future SFIMT systems. Finally, the analysis value is investigated by utilizing the evaluation method for a number of chosen innovations with promising prospects in future food processing.     

Understanding the Role of ICT Networks in a Biotechnology Cluster: An Exploratory Study of Medicon Valley

Based on a wide-ranging literature review, we argue that the information and communications technology (ICT) infrastructure has not received adequate attention for its role in the development and maintenance of industrial clusters. This article develops expectations for how firms in an industrial cluster make use of a public, broadband ICT infrastructure, particularly in support of e-commerce applications. We further address the question of whether ICT use, by enabling stronger ties to non-cluster partners, can weaken clusters. A case study of a successful biotechnology cluster in Denmark and Sweden—the Medicon Valley—is used to explore ICT use in a knowledge-intensive cluster context. We conclude that ICT use appears to strengthen rather than weaken the Medicon Valley cluster, and that firms located within a cluster appear to gain some unique advantages from their ICT usage that are not necessarily available to firms outside the cluster.     

A multidimensional approach to information security risk management using FMEA and fuzzy theory

Because of the evolution and widespread use of the Internet, organisations are becoming more susceptible to attacks on Information Technology Systems. These attacks result in data losses and alterations, and impact services and business operations. Therefore, to minimise these potential failures, this paper presents an approach to information security risk management, encompassing Failure Mode and Effects Analysis (FMEA) and fuzzy theory. This approach analyses five dimensions of information security: access to information and systems, communication security, infrastructure, security management and secure information systems development. To illustrate the proposed model, it was applied to a University Research Group project. The results show that the most important aspects of information security risk are communication security, followed by infrastructure.     

电网基建工程的质量管理研究

针对当前电网基建工程建设管理现状,以及在建设过程中出现的问题,文章对电网基建工程中的质量管理展开了分析探讨,在简单分析了电网基建工程质量管理问题的基础上,重点探讨了电网基建工程质量管理改进的策略,从全成员参与、全过程管理和全质量管理三个角度提出了电网基建工程建设质量管理的具体措施与建议,对于进一步提高电网基建工程质量管理应用水平具有一定借鉴和指导意义。     

Measure Twice,Cut Once: Entrepreneurial Ecosystem Metrics

Despite the popularity of the entrepreneurial ecosystem approach in science and policy, there is a scarcity of credible, accurate and comparable metrics of entrepreneurial ecosystems. This is a severe shortcoming for both scientific progress and successful policy. In this paper, we bridge the entrepreneurial ecosystem metrics gap. Entrepreneurial ecosystems consist of the actors and factors that enable entrepreneurship. We use the entrepreneurial ecosystem approach to quantify and qualify entrepreneurial economies. We operationalize the elements and outputs of entrepreneurial ecosystems for 273 European regions. The ecosystem elements show strong and positive correlations with each other, confirming the systemic nature of entrepreneurial economies and the need for a complex systems perspective. Our analyses show that physical infrastructure, finance, formal institutions, and talent take a central position in the interdependence web, providing a first indication of these elements as fundamental conditions of entrepreneurial ecosystems. The measures of the elements are used to calculate an index that approximates the quality of entrepreneurial ecosystems. This index is robust and performs well in regressions to predict entrepreneurial output, which we measure with novel data on productive entrepreneurship. The entrepreneurial ecosystem approach and the metrics we present provide a lens for public policy to better diagnose, understand and improve entrepreneurial economies.     

The evolving nature of Taiwan's national innovation system: The case of biotechnology innovation networks

The dynamics of national innovation systems (NISs) are a source of considerable academic and policy interest, especially when to address new competitive challenges they involve changing institutions and relationships within successful systems. This paper examines the case of Taiwan which is embarking on a new phase in its approach to building its national innovative capacity through creating the infrastructure for a biotechnology industry. By examining the process and mechanisms by which new biotechnology innovation networks are being created, and contrasting their development with existing networks, we analyse the dynamics of Taiwan's NIS. The paper reviews the prospects for this new phase in Taiwan's transition from ‘imitation’ to ‘innovation’. The paper aims to add to the understanding of how innovation systems evolve. It is concerned with the contributors, processes and challenges of NIS evolution and the form and meaning of its dynamic changes.     

Robust adaptive Unscented Kalman Filter with gross error detection and identification for power system forecasting-aided state estimation

Owing to the effect of measurement noise and sudden changes in the power system, the robustness of state estimation for power system becomes very important. The Unscented Kalman Filter (UKF) is widely used for state estimation. However, it does not consider the influence of different kinds of gross errors. To better deal with gross errors, a robust adaptive UKF with gross error detection and identification (RAUKF-GEDI) is proposed, which uses the robust generalized correntropy loss in the UKF framework. The RAUKF-GEDI detects gross errors by hypothesis testing, and then uses the moving window to identify and classify three kinds of gross errors. Subsequently, the RAUKF-GEDI estimates the magnitudes of the gross errors to further compensate the measurements, and finally uses the compensated measurements to re-estimate the state to obtain precise estimated states. In addition, RAUKF-GEDI also introduces adaptive covariance matching method for state estimation. The RAUKF-GEDI is applied to the state estimation for power systems where the measurements are contaminated by three kinds of gross errors. Finally, the RAUKF-GEDI is also applied to the practical power system of Zhejiang Juchuang Smart Technology Company Park. The results show that the RAUKF-GEDI can detect and identify gross errors and enhance the robustness of UKF.     

浅谈电力基建项目照片档案的管理措施

在现代化进程中,电力基建项目档案的载体已经由原来以文字档案为主,发展成为文字档案与照片档案共存的局面。电力基建照片档案是电力基建工程项目活动和管理施工中直接形成的有保存价值的照片,它以全面、直观、形象、生动等鲜明特点反映电力建设面貌,是项目工程建设成果的真实记录,对基建项目的传承、创新和发展都具有很重要作用。在此,根据电力基建项目照片档案的特点,就在业务实践中普遍存在的问题,浅析电力基建项目照片档案的管理措施。     

基于.NET智能客户端的性能优化

针对影响.NET智能客户端的性能问题,讨论了性能目标及其基准的建立,提出了调整.NET智能客户端以获得最佳的性能解决方案;并介绍了用来诊断智能客户端性能问题的一些技术和工具。帮助用户及早控制成本,并减小以后陷入性能问题的可能性,对于智能客户端系统的开发及优化,具有重要的实际应用价值。     

基于IIN的大中型网络架构设计探索

融合网络强调利用一个网络传输多种不同类型的数据流。从IIN设计理念入手,将智能构建于现有网络基础设施之中,保证各种数据流更好地传输,让网络变得更加智能化。在网络规划设计时,利用面向服务的网络架构框架SONA,将网络按照不同的功能需求划分成不同的模块,构建可扩展的三层模型,实现智能信息网络。