Anecdotal and empirical evidence has shown strong associations between the built environment and individuals travel decision. To date, data about individuals travel behavior and the nature of the retail environment have not been linked at the fine-grained level for verifying such relationships. GPS and GIS have revolutionized how we measure and monitor land use and individual travel behavior. Compared with traditional travel survey methods, GPS technologies provide more accurate and detailed information about individuals trips. Based the GPS travel data in the Twin Cities we analyze the impact of individuals interactions with road network structure and the destinations accessibility on individuals destination choice for home-based non-work retail trips. The results reveal that higher accessibility and diversity of services make the destination more attractive. Further, accessibility and diversity of establishments in a walking zone are often highly correlated. A destination reached via a more circuitous or discontinuous route dampens its appeal. In addition, we build an agent-based simulation tool to study retail location choice on a supply chain network consisting of suppliers, retailers, and consumers. The simulation software illustrates that the clustering of retailers can emerge from the balance of distance to suppliers and the distance to consumers. We further applied this tool in the Transportation Geography and Networks course (CE 5180) at the University of Minnesota. Student feedback reveals that it is a useful active learning tool for transportation and urban planning education. The software also has the potential of being extended for an integrated regional transportation-land use forecasting model.

关键词：电子信息；GIS；地理信息系统；旅游数据；集群仿真模块

查看摘要 索取原文[46页]

This chapter provides a comprehensive and chronological review of the procedures that were used to identify suitable sites for wetland and stream restoration in the Swan Creek and Tenmile Creek/Ottawa River watersheds within northwest Ohio. It includes an explanation of the datasets that were used to generate aerial photographic base mapping, evaluation of existing conditions within the two watersheds and the development of the GIS predictive model that was utilized to identify potential wetland and stream restoration sites and that were used to select the final 26 sites for the development of conceptual wetland and/or stream restoration plans.

关键词：电子信息；GIS；地理信息系统；湿地；识别

查看摘要 索取原文[16页]

关键词：国产手机；产业链；品牌；高端市场

查看摘要 索取原文[1页]

The main service interoperability models (SOA and REST) are currently implemented in the Web with text based technologies (XML, JSON, HTTP), conceived for large grained hypermedia documents. Their extension to the Internet of Things context, involving devices with constrained capabilities and unreliable wireless network protocols, implies using a subset of the features of those technologies and adapting the network and message level protocols. This chapter starts by establishing a layered interoperability framework, from the organizational down to the network protocol levels. Then, it assesses the constraints and limitations of current technologies, establishing goals to solve these problems. Finally, a new interoperability technology is presented, based on a distributed programming language (and its execution platform) that combines platform independence and self-description capabilities, which current data description languages exhibit, with behavior description (not just data), elimination of the need of a separate language for schema or interface description, complete separation of data and metadata (optimizing message transactions) and native support for binary data (eliminating the need for encoding or compression).

关键词：电子信息；物联网；服务；互操作

查看摘要 索取原文[37页]

The seven Florida Department of Transportation (FDOT) districts are multicounty districts that each interact with a number of county and municipal agencies, including local transit agencies. FDOT District 7 includes the Tampa-St. Petersburg-Clearwater areas, which are among the most populous and complex in the state. District 7 employees regularly need information from the many entities that may interact with transportation planning, design, construction and maintenance. Accessing this information usually nvolves multiple manual steps to locate, acquire, and convert data. To facilitate their work, District 7 has initiated an effort to create an electronic means for intraregional data sharing.

关键词：电子信息；GIS；地理信息系统；交通；数据模型

查看摘要 索取原文[1页]

关键词：物联网；专项行动；商用模式

查看摘要 索取原文[1页]

Computational methods have evolved over the years giving developers and researchers more sophisticated and faster ways to solve hard data processing tasks. However, with new data collecting and storage technologies, the amount of gathered data increases everyday making the analysis of it a more and more complex task. One of the main forms of storing data is plain unstructured text and one of the most common ways of analyzing this kind of data is through Text Mining. Text Mining is similar to other types of data mining but the problem is that differently from other forms of data that are properly structured (such as XML) in text mining data in the best case scenario is semi-structured. In order for them to derive valuable information, text mining systems have to execute a lot of complex natural language processing algorithms. In this chapter we focus on text processing tools dealing with stemming algorithms. Stemming is the step that deals with finding the stem (or root) of the word which is essential in every text processing procedure. Stemming algorithms are complex and require high computational effort. In this chapter we present an Apache Mahout plugin for a stemming algorithm making possible to execute the algorithm in a cloud computing environment. We investigate the performance of the algorithm in the cloud and show that the new approach significantly reduces the execution time of the original algorithm over a large dataset of text documents.

关键词：电子信息；云计算；堵文本；文本挖掘；数据收集；数据存储

查看摘要 索取原文[22页]

关键词：4G牌照；山寨手机

查看摘要 索取原文[1页]

Cloud computing is an emerging technology that can help organizations become more efficient and agile, and respond more quickly and reliably to their customers’ needs. Many government and private sector organizations are currently using or considering the use of cloud computing to increase the performance and efficiency of their information system operations, and to improve the delivery of services.

关键词：电子信息；云计算；信息系统；安全；隐私

查看摘要 索取原文[7页]

Mobile cloud computing is growing rapidly because its device (i.e., smart phone) is becoming one of the main processing devices for users nowadays. Due to the limitation of resources such as battery life time, CPU and memory capacity, etc., a mobile device cannot satisfy some applications which usually demand more resources than it can afford. To alleviate this, the mobile device should collaborate with external resources to increase its capacity. In order to address these problems, we introduce a collaboration of thin-thick clients which enhances thin client capacities. We further propose a strategy to optimize the data distribution, especially big data in cloud computing. Moreover, we present an algorithm to allocate resources to meet service level agreement (SLA) and conduct simulations to evaluate our approach. Our results evaluation shows that our approach can improve resource allocation efficiency and has better performance than existing approaches.

关键词：电子信息；云计算；数据分布；资源分配

查看摘要 索取原文[9页]