国家对手机支付出台了一系列的鼓励发展政策，电信运营商和银联也加强了在手机支付方面的战略布局和试点的商业化运营。新的环境下，移动支付产业链是怎样的？会有什么运营模式？各自有什么样的特点？未来将有怎样的竞争机会和挑战？基于对移动支付产业链的精深理解和市场现状的全面把握，易观在对移动支付产业进行深入剖析的基础上，对国内移动支付的运营模式现状和趋势进行研究。在第三方支付方面，2013 年中国第三方互联网支付市场保持高速增长，总体交易规模突破5万亿元，已成为中国金融支付体系中重要的组成部分，也是中国互联网经济高速发展的底层支撑力量和进一步发展的推动力。

报告从位置服务、细分领域、手机地图、产业趋势、竞争格局等方面对位置服务市场进行了分析评论。

2011 年起各大电商平台纷纷向移动购物市场进军，移动购物应用大军来势汹汹，而此时我国的移 动互联网产业也开始高速发展，3G 业务的上线大力推进了移动购物的发展，而智能手机价格的屡创新低和智能手机的快速普及也让广大的消费者有机会接触到移动互联网。其次，移动购物产业链上下游的不断成熟，也为其发展提供了保障。供应商与电商平台的合作进一步加深，支付、物流体系的不断健全，是移动购物市场快速崛起的原因。

综合搜索已获个人用户和广告主的全面认可。个人用户服务更加要求广、深、精，关键字输入方式、搜索内容源以及搜索结果呈现方式均发生较大改变。搜索引擎平台媒体属性渐强，品牌广告主、中小广告主纷纷划拨营销预算，搜索引擎营销占据中国互联网广告市场头把交椅。移动移动搜索存在空间，竞争格局尚属未知。

Laboratory automation is the use of technology and equipment to conduct routine or tedious activities including state-of-the-art workflows in research, quality assurance, and diagnostics laboratories. The automation enables robust and faster throughput and analysis of a large number of samples at one go. Laboratory automation finds primary application in the areas of both clinical testing and drug discovery, wherein the laboratory automation system could either be a standalone system or a total laboratory system.

Engineering services include a variety of services offered by vendors in the spectrum of design,analysis, quality assessment, and management of engineering projects. Some of the services offered are design services for building and infrastructure projects, industrial processes and equipment, environmental projects, construction and asset management of projects, and operation of industrial processes. Vendors in the Global Engineering Services market provide technical assistance for construction projects. They also carry out activities such as project procurement and funding, feasibility studies, process management, procurement of contractors and suppliers, and quality assessment and accreditation.

日本DoCoMo和软银移动、美国Verizon的4GLTE的发展处于全球领先位置。介绍了这三家运营商在LTE网络建设、终端、应用、资费等方面的策略和作为，并指出：面对4G，移动通信业的高利润时代其实已经结束。

Deep Convective Systems (DCSs) consist of intense convective cores (CC), large stratiform rain (SR) regions, and extensive non-precipitating anvil clouds (AC). This study focuses on the evolution of these three components and the factors that affect convective AC production. An automated satellite tracking method is used in conjunction with a recently developed multi-sensor hybrid classification to analyze the evolution of DCS structure in a Lagrangian framework over the central United States. Composite analysis from 4221 tracked DCSs during two warm seasons (May-August, 2010-2011) shows that maximum system size correlates with lifetime, and longer-lived DCSs have more extensive SR and AC. Maximum SR and AC area lag behind peak convective intensity and the lag increases linearly from approximately 1-hour for short-lived systems to more than 3-hours for long-lived ones. The increased lag, which depends on the convective environment, suggests that changes in the overall diabatic heating structure associated with the transition from CC to SR and AC could prolong the system lifetime by sustaining stratiform cloud development. Longer-lasting systems are associated with up to 60higher mid-tropospheric relative humidity and up to 40stronger middle to upper tropospheric wind shear. Regression analysis shows that the areal coverage of thick AC is strongly correlated with the size of CC, updraft strength, and SR area. Ambient upper tropospheric wind speed and wind shear also play an important role for convective AC production where for systems with large AC (radius greater than 120-km) they are 24and 20higher, respectively, than those with small AC (radius=20 km).

Modern smartphones feature multiple applications which access shared data on the solid state storage within the device. As applications become more complex, contention over this memory resource is becoming an issue. This leads to increased battery drain as the applications are forced to touch the solid state device repeatedly after failing to retrieve or store data due to contention from other applications. We describe an optimistic concurrency control algorithm, combining a novel Read-Write-Validate phase sequence with virtual execution. The protocol is suitable for governing transactions operating on databases residing on resource-constrained devices. Increasing energy efficiency and reducing latency are primary goals for our algorithm. We show that this is achieved by reducing persistent store access, and satisfy real-time requirements via transaction scheduling that affords greater determinism.

The primary goal of this project is to demonstrate the accuracy and utility of a freezing drizzle algorithm that can be implemented on roadway environmental sensing systems (ESSs). The types of problems related to the occurrence of freezing precipitation range from simple traffic delays to major accidents that involve fatalities. Freezing drizzle can also lead to economic impacts in communities with lost work hours, vehicular damage, and downed power lines. There are means for transportation agencies to perform preventive and reactive treatments to roadways, but freezing drizzle can be difficult to forecast accurately or even detect as weather radar and surface observation networks poorly observe these conditions. The detection of freezing precipitation is problematic and requires special instrumentation and analysis. The Federal Aviation Administration (FAA) development of aircraft anti-icing and deicing technologies has led to the development of a freezing drizzle algorithm that utilizes air temperature data and a specialized sensor capable of detecting ice accretion. However, at present, roadway ESSs are not capable of reporting freezing drizzle. This study investigates the use of the methods developed for the FAA and the National Weather Service (NWS) within a roadway environment to detect the occurrence of freezing drizzle using a combination of icing detection equipment and available ESS sensors. The work performed in this study incorporated the algorithm developed initially and further modified for work with the FAA for aircraft icing. The freezing drizzle algorithm developed for the FAA was applied using data from standard roadway ESSs. The work performed in this study lays the foundation for addressing the central question of interest to winter maintenance professionals as to whether it is possible to use roadside freezing precipitation detection (e.g., icing detection) sensors to determine the occurrence of pavement icing during freezing precipitation events and the rates at which this occurs.

This presentation provides an overview of three software tools that were developed by the NASA Glenn Research Center to support the assessment of system health: the Propulsion Diagnostic Method Evaluation Strategy (ProDIMES), the Systematic Sensor Selection Strategy (S4), and the Extended Testability Analysis (ETA) tool. Originally developed to support specific NASA projects in aeronautics and space, these software tools are currently available to U.S. citizens through the NASA Glenn Software Catalog. The ProDiMES software tool was developed to support a uniform comparison of propulsion gas path diagnostic methods. Methods published in the open literature are typically applied to dissimilar platforms with different levels of complexity. They often address different diagnostic problems and use inconsistent metrics for evaluating performance. As a result, it is difficult to perform a one-to-one comparison of the various diagnostic methods. ProDIMES solves this problem by serving as a theme problem to aid in propulsion gas path diagnostic technology development and evaluation. The overall goal is to provide a tool that will serve as an industry standard, and will truly facilitate the development and evaluation of significant Engine Health Management (EHM) capabilities. ProDiMES has been developed under a collaborative project of The Technical Cooperation Program (TTCP) based on feedback provided by individuals within the aircraft engine health management community. The S4 software tool provides a framework that supports the optimal selection of sensors for health management assessments. S4 is structured to accommodate user defined applications, diagnostic systems, search techniques, and system requirements/constraints. One or more sensor suites that maximize this performance while meeting other user defined system requirements that are presumed to exist. S4 provides a systematic approach for evaluating combinations of sensors to determine the set or sets of sensors that optimally meet the performance goals and the constraints. It identifies optimal sensor suite solutions by utilizing a merit (i.e., cost) function with one of several available optimization approaches. As part of its analysis, S4 can expose fault conditions that are difficult to diagnose due to an incomplete diagnostic philosophy and/or a lack of sensors. S4 was originally developed and applied to liquid rocket engines. It was subsequently used to study the optimized selection of sensors for a simulation based aircraft engine diagnostic system. The ETA Tool is a software based analysis tool that augments the testability analysis and reporting capabilities of a commercial off the shelf (COTS) package. An initial diagnostic assessment is performed by the COTS software using a user developed, qualitative, directed graph model of the system being analyzed.

1999年，在美国召开的移动计算和网络国际会议上首次提出了“物联网”(IOT，The Internet of Things)的概念。虽然近年来物联网技术及应用取得迅猛的发展，但是对物联网一直都没有一个权威的定义。目前被普遍认可的一种定义是：通过射频识别(RFID，Radio Frequency IDentification)装置、红外感应器、全球定位系统、激光扫描器等信息传感设备，按约定的协议，把任何物品与互联网相连接，进行信息交换和通信，以实现智能化识别、定位、跟踪、监控和管理的一种网络。这个定义有两层意思：一是物联网的核心和基础仍然是互联网，是在互联网基础之上延伸和扩展的一种网络；二是其用户端延伸和扩展到了任何物品与物品之间，进行信息交换和通信。

现代信息服务业是以信息技术为主要支撑手段，以信息传输服务业、信息技术服务业、数字内容服务业为主要内容的现代服务业，是国民经济的基础性、先导性和战略性产业，具有高附加值、高渗透、资源节约、环境友好等特点。现代信息服务业是国民经济和现代服务业的重要组成部分，其发展水平是衡量现代社会经济发展程度的重要标志。21世纪以来，现代信息服务业全面渗透到经济和社会发展的各个领域。在全球经济社会发展中的地位日益提高。随着经济的发展，现代信息服务业已成为拉动世界经济增长和社会进步的重要引擎。世界各国都把现代信息服务业作为国家的基础性产业和战略性产业给予优先扶持和推动。我国高度重视发展现代信息服务业。分析与研究我国现代信息服务业现状，提出经济社会转型升级中加快发展现代信息服务业的对策建议，对于推动经济方式转变、促进经济社会转型升级、满足群众日益增长的物质文化需求，保障和改善民生、促进社会和谐发展，具有十分重要的意义。

本刊以七大战略性新兴产业——节能环保、新一代信息技术、生物、高端装备制造、新能源、新材料、新能源汽车为研究重点，关注国家高层和各部委的动态，剖析国家和地方的新兴产业政策。本刊设有政策导读、领导讲话、七大战略性新兴产业本周国内外行业动态和重点企业新闻、投资专题四大板块，能够实时监测新兴产业和重点企业动态，把握新兴产业发展方向，研究发展重点，寻求发展机遇。