This report covers the present scenario and the growth prospects of the IT market in China for the period 2012-2016. To calculate market size as well as vendor shares, the report considers the revenue generated through the sales of hardware, software, and services. To calculate the size of the Hardware market, the report considers the revenue generated through the sales of PCs, servers, network equipment, and storage devices. To calculate the size of the Services market, it considers the revenue generated through network services, system integration, IT outsourcing services, maintenance and support services, IT consultancy services, education, and training services.The report also presents the vendor landscape and a corresponding detailed analysis of the five leading vendors in the IT market in China. In addition, it discusses the major drivers that influence the growth of the market. It also outlines the challenges faced by the vendors and the market at large, as well as the key trends that are emerging in the market.

An ultra-high-definition TV, popularly known as ultra HD TV, displays the picture in two video formats, 4K and 8K. Ultra HD TVs are new and technologically-advanced TVs which deliver the picture by analyzing and refining it with natural detail and astounding color. These TVs generally have a resolution of 3,840 x 2,160 pixels. Some of the blockbuster movies released in the ultra HD format include The Dark Knight Rises, The Karate Kid, Men in Black III, Spiderman 4, and Samsara. Users get a completely different experience watching movies in an ultra HD format, attracting most users to opt for ultra HD TVs.

PET is an imaging technique for producing a three-dimensional image of the functional processes in the human system. PET scans are increasingly read alongside CT or MRI scans providing information on both anatomic and metabolic information. PET imaging is a powerful tool in combination with anatomical imaging, such as CT and MRI. This has enabled its application in the area of oncology, cardiology, and neurology studies.The Global PET market has been experiencing a steady growth. In 2012, most of the growth in the market stemmed from the Americas and the EMEA region, which together accounted for more than 75 percent of the market. However, the emerging economies of the APAC region, such as China and India, and of Latin America, such as Brazil and Argentina, are expected to grow at a faster pace during the forecast period. The overall market is expected to grow at a CAGR of 3.74 percent during the period 2012-2016.

1. Understand the role that the computer interface plays in high-quality and successful software systems 2. Describe how to address interface design and evaluation within the software development life cycle 3. Provide usable guidance for evaluating designs.

This research effort is concerned with the advancement of computer generated forces AI for Department of Defense (DoD) military training and education. The vision of this work is agents capable of perceiving and intelligently responding to opponent strategies in real-time. Our research goal is to lay the foundations for such an agent. Six research objectives are defined: 1) Formulate a strategy definition schema effective in defining a range of RTS strategies. 2) Create eight strategy definitions via the schema. 3) Design a real-time agent framework that plays the game according to the given strategy definition. 4) Generate an RTS data set. 5) Create an accurate and fast executing strategy classifier. 6) Find the best counterstrategies for each strategy definition. The agent framework is used to play the eight strategies against each other and generate a data set of game observations. To classify the data, we first perform feature reduction using principal component analysis or linear discriminant analysis. Two classifier techniques are employed, k-means clustering with k-nearest neighbor and support vector machine. The resulting classifier is 94.1accurate with an average classification execution speed of 7.14 us. Our research effort has successfully laid the foundations for a dynamic strategy agent.

The dramatic growth of Internet and network technologies, etc leads to different perspectives of computing methodologies as well as changes of software business model. If the traditional business model for software is one-time payment for a license for one machine with unlimited use, the development of Internet and network technologies, etc makes it possible for users to pay on their consumption as they pay for water, gas and electricity. With advanced technology all computing and storing process can be centralized on the infrastructure of service providers. With this new model, users don't have to concern about deploying their infrastructure, security, etc which will be responsible by service providers. This new trend grows extremely fast in last couple years and attracts a lot of researches from scholars such as Grid Computing model, Client Server model and especially Cloud Computing model with its scalability. In this paper we do not analyze differences between these utility computing models and what model will be the main field in the future. Instead we present how to use computer networks as a mean of computing and simulation and how computer networks are considered as a solution to boost technology development. Two software applications through computer networks were developed and applied successfully in teaching and learning courses in Auburn University and Bradley University are presented in this paper. It is a typical example of enhanced interaction between human and CAD tools while computer networks play a role as a human system interface.

In this chapter, we selected a few typical commercial power electronic controllers to illustrate their development and application in solving real-world problems. It is clear that, for different applications, the circuit topologies and controllers take different forms. Even for the same application with the same circuit topology, different controllers and methods are still used to achieve different performance and characteristics.

The domain of autonomic and nature-inspired networking comes with its own set of design challenges and requirements for its architectures. This demands a tailored solution to model and design its components rather than a generic approach. In this paper, we provide a hybrid methodology consisting of formal methods to design, refine and verify the entities of autonomic networks. We focus our discussions on the methods for meta-modeling, structural modeling and behavior modeling and design of existing protocols and newly introduced autonomic components, that autonomically manage and adapt the behaviour of protocols to changing policy and network conditions. A case study, based on the recently introduced Hierarchical Autonomic Management and Control Architectural Framework called GANA, is used for highlighting the practical benefits and design choices available to modelers and autonomic components designers. The results of our case study are analyzed to explain the trade offs that future designers would be forced to make in order to achieve their design objectives for an autonomic network. A tool-chain to realize the methodology is also briefly discussed.

This paper introduces a secure and simple way to set up initial Wi‐Fi configuration for “Internet of Things” based on Wi­‐Fi Protected Setup (WPS) protocol.The “Internet of Things”(IoT) refers to any electronics appliances that can be connected to the local Internet with an embedded Wi­‐Fi chip. To accomplish this configuration, the basic concept is to transfer PIN number, which is a unique number for each device, to smartphones by using out­‐of­‐band signal and extract it based on computer vision technology with a developed Android App.

This report covers work done for the Director's Research Initiative (DSI) on Gallium Nitride (GaN) High Power Electronics (HPE) in which GaN devices are assessed in comparison to those fabricated from silicon carbide (SiC). We show that for low power applications (less than 1500 V) GaN diodes should have a lower on-resistance, and therefore less loss, than their SiC counterparts because the critical breakdown field and electron mobility are larger. We expect this will also be true for HPE GaN high electron mobility transistors (HEMTs) compared to SiC metal-oxide-semiconductor field effect transistors (MOSFETs). Although a few GaN devices have been made that have properties that exceed those made from SiC, these devices cannot yet be manufactured. Our work suggests the dominant problem is contamination of the metal-organic chemical vapor deposition (MOCVD) films by the carbon in the trimethyl gallium (TMGa). We suggest a better alternative is to grow the films by hydride vapor phase epitaxy (HVPE), which requires that conducting GaN substrates be grown to reduce the on-resistance (RON-SP) for the back side diodes. We also show that dislocations appear to strongly affect diode properties such as the ideality factor, but their effect on the breakdown voltage appears to be a less significant problem than was previously thought.

In this report, we are providing a summary of the two main efforts: (i) the work done on the AFRL-UNM High-End Reconfigurable Computer (HERC), and (ii) the Adaptive Wiring Panel (AWP). The AFRL-UNM High-End Reconfigurable Computer (HERC) is a new multiprocessor architecture for use in high-performance on-board space applications. This architecture was developed to have modular and compact basic processing nodes, interconnected by high-speed communications links that aggressively embed most of their components in Field Programmable Gate Arrays (FPGA). We also present an approach for developing the concept of a manifold of adaptive wiring cells connected as a single overall Adaptive Wiring Panel (AWP). The main use of the AWP is related to affordable plug-and-play space applications but the concept can be used for different applications. A reconfigurable switch fabric enables dynamic routing of signals and power for space systems.

The present study is intended to be a detailed follow up and expansion upon a 2009 assessment prepared for the U.S.-China Economic and Security Review Commission of Chinas evolving computer network operations capabilities and network intrusion incidents attributed to China. Concern in the United States over alleged Chinese penetrations of both commercial and government networks has only intensified in the past two years as successive incidents have come to light in the media and more organizations voluntarily come forward. The Commission requested a study that both reviewed developments since the 2009 study was completed and examined new issues related to cybersecurity, China, and potential risks to U.S. interests.

Optical imaging systems have traditionally been analyzed using well-established approximations such as ray-based geometrical optics (Born & Wolf, 1999) and scalar Fourier theory (Goodman, 1996). However, there has recently been increased interest in applying the rigorous framework of Maxwell's-equations-based electromagnetic theory and numerical modeling to the analysis of optical imaging systems. The availability of more powerful computer hardware and more efficient computational algorithms has obviously contributed to this interest. Although the basic principles of light scattering encoded in Maxwell's equations had been around for decades, the widespread application of these principles to the complete modeling of an optical imaging system had to wait until the 1990s, at which time the personal computers were getting powerful enough to process megabytes of data in their memory.

This presentation describes the current status of the DOE's Energy Storage R and D program, including modeling and design tools and the Computer-Aided Engineering for Automotive Batteries (CAEBAT) program.

The objectives of this work were to design, develop, and evaluate support for the design of low-power hardware computer architectures at the Very Large Scale Integration (VLSI) level. The objectives were realized by achieving complete design flow integration with commercial and open-source Electronic Design Automation tools. The design flow takes as inputs a high-level system-level architecture description, along with area, critical path delay, and power dissipation constraints. Based on the System on Chip architecture description and design constraints, the tools automatically generate synthesizable Hardware Descriptive Language (HDL) models, embedded memories, and custom components to implement the specified VLSI architecture. Simulation results showed significant improvement over previous approaches with respect to power dissipation and leakage reduction.

This document describes a repeatable test procedure that attempts to simulate shading situations, as would be experienced by typical residential rooftop photovoltaic (PV) systems. This type of shading test is particularly useful to evaluate the impact of different power conversion setups, including microinverters, DC power optimizers and string inverters, on overall system performance. The performance results are weighted based on annual estimates of shade to predict annual performance improvement. A trial run of the test procedure was conducted with a side by side comparison of a string inverter with a microinverter, both operating on identical 8kW solar arrays. Considering three different shade weighting conditions, the microinverter was found to increase production by 3.7under light shading, 7.8under moderate shading, and 12.3under heavy shading, relative to the reference string inverter case. Detail is provided in this document to allow duplication of the test method at different test installations and for different power electronics devices.