报告从政策监管、行业要闻、区域要闻、企业要闻几个方面对10月下半月通信行业要闻进行了综述。

支付开辟互联网企业向金融发展方的通道。“支付”是指消费者通过银行或支付平台连接付款给商家的行为，完成交易。互联网金融模式下的支付方式以网络、移动支付为基础来转移货币价值以清偿债权债务关系。支付在促成电商实现交易的同时，其沉淀资金功能也自然推动其向金融业务发展，货币基金的销售只是序幕拉开，一旦客户通过移动网络购买金融产品习惯形成，零售金融生态将整体改变。

公司传统上以电子文档影像业务、电子商务和信息安全三大软件产品创业，随后在金融IT遇到瓶颈时开拓环保领域，并逐步确立了金融IT与环保科技业务并举的战略。公司作为金融软件提供商，以金融行业IT设作为自己的主营业务发展方向，形成软硬件和IT服务综合的银行IT 解决方案提供商。

All Asia-Pacific countries have launched 4G services, which are slowly replacing 3G, as they are four to ten times faster. The Asia-Pacific is likely to have the highest volume of smartphone shipments, with revenue of the region’s mobile operators totaling US$500 billion in 2013, making it the world’s fastest-growing regional mobile market. SMS over the internet such as WeChat, LINE, KakaoTalk, Whatsapp and Viber have replaced traditional SMS among Asians as they provide lower or no charges, unlimited texting and rich features such as location sharing, emoticons or interesting animation. Although more Asia-Pacific internet users are web searching on smartphones and tablets Adobe estimates the vast majority of website visits are still done on a PC. The outlook for the mobile sector is positive, as smartphones with higher internet speeds are likely to be introduced to meet the demands of internet users and gadget lovers.

VSATs are communication terminals that transmit and receive text, audio, and video data using satellite broadband internet services. A VSAT network comprises a main station or hub and other sites located at remote places, which communicate with the satellite. These networks provide wireless broadband connectivity in areas that are not covered by wireline networks. To transmit and receive data, VSAT systems and applications make use of geostationary satellites that are placed in the geostationary orbit over the equator at an altitude of 35,786 kilometers. The movement of satellites in the geostationary orbit is always relative to a fixed position on Earth; this provides uninterrupted connectivity between the satellite and its antennas located at various points on Earth. Maritime VSAT enables satellite broadband communication using the VSAT network for sea vessels, oil and gas ships, leisure liners, and fishing boats.

Estimating the running time, number of qubits and other resources needed by realistic models of quantum computers is the rst necessary step to reducing these resource requirements. This report describes our Quantum Resource Estimator (QuRE) toolbox which we used to calculate resource estimates for a cross product of several quantum algorithms, quantum technologies, and error-correction techniques. The focus of this work is on the estimation methodology, overhead caused by error correction, and the software tools that we developed. Our toolbox simulates error correction with the Steane code [1, 2], Bacon-Shor code, Knill's post-selection scheme, and surface code, representing codes from both the concatenated and topological error-correcting code families.

Matrix multiplication is one of the most fundamental algorithmic problems in numerical linear algebra, distributed computing, scienti c computing, and high-performance computing. Parallelization of matrix multiplication has been extensively studied (e.g., [21, 12, 24, 2, 51, 39, 36, 23, 45, 61]). It has been addressed using many theoretical approaches, algorithmic tools, and software engineering methods in order to optimize performance and obtain faster and more ecient parallel algorithms and implementations. To design ecient parallel algorithms, it is necessary not only to load balance the computation, but also to minimize the time spent communicating between processors.

The proliferation of large clusters supporting online web workloads or large compute-intensive jobs has made cluster power management very important [1]. An analysis of utilization traces of production clusters reveal that a majority of them have a scope for (a) under-provisioning of electrical support infrastructure, leading to savings in capital expenditure, and (b) energy savings, leading to savings in operational expenditure; both with minimal impact on average job performance. Existing software techniques which tackle either of these problems have seen scant adoption because they do not address key problems and constraints relevant in production clusters.In this thesis, we first investigate possible reductions in cluster power infrastructure provisioning. It is possible that the lower provisioned power level is exceeded due to software behaviors on rare occasions and could cause the entire cluster infrastructure to breach the safety limits. A mechanism to cap servers to stay within the provisioned budget is needed, and processor frequency scaling based power capping methods are readily available for this purpose。

This thesis introduces and explores the idea of \user-guided inverse 3D modeling" — an interactive approach to shape construction and redesign that extracts well-structured, parameterized, procedural descriptions from unstructured, hierarchically  at input data, such as point clouds, boundary representation meshes, or even multiple pictorial views of a given inspirational prototype. This approach combines traditional \forward" 3D modeling tools with a system of user-guided extraction modules and optimization routines. With a few cursor strokes users can express their preferences regarding the type of modeling primitives to be used in a particular area of the given prototype to be approximated, and they can also select the degree of parameterization associated with each modeling routine. The results are then pliable, structured descriptions that are well suited to implement the particular design modications intended by the user.

This Synthesis studys objective is to provide airport operators with data and experience from SMS pilot study airports through survey results, lessons learned, and general findings and trends. The proposed audience is U.S. Part 139 certificated airport operators; however, while intended for Part 139 airports, the results gathered in this Synthesis of Practice may be helpful to all airports. The study approach focused on completing a literature review of current SMS industry documentation and conducting interviews with SMS pilot study airport representatives and consultants. Sources for the literature review included FAA, ICAO, the Government Accountability Office, various ACRP resources, Transport Canada, the Australian Governments Civil Aviation Safety Authority, and academic and industry references relating to SMS. The SMS pilot study interviews consisted of on-site or telephone discussions ranging from 30 to 90 min using a 36-question survey tool to address all aspects of the four SMS pilot studies, including program logistics, planning, staffing, and SMS integration and implementation. Of the 31 participating SMS pilot study airports, 26 airport operators respondedan 84response rate. Airports participants were represented from each of the four studies and from Class I, II, and IV airports (no Class III airports participated in the survey). Throughout this Synthesis study report, de-identified data and findings are presented by airport class to address differences in operational scale and staffing. Definitions of class size are presented in the Glossary of Terms and Acronyms.

This dissertation addresses some of these issues：We begin with an active learning strategy for spectral clustering when the cost of assessing individual similarities is substantial or prohibitive.Next, we consider active learning in Bayesian models.Our third contribution looks at the e ects of randomized subsampling on Gaussian process models that make predictions about outliers and rare events. Finally, we turn to a theoretical evaluation of randomized subsampling for the purpose of inferring rankings of objects.

Speaker diarization is the problem of determining “who spoke when” in an audio recording when the number and identities of the speakers are unknown. Motivated by applications in automatic speech recognition and audio indexing, speaker diarization has been studied extensively over the past decade, and there are currently a wide variety of approaches – including both top-down and bottom-up unsupervised clustering methods. The contributions of this thesis are to provide a unified analysis of the current state-of-the-art, to understand where and why mistakes occur, and to identify directions for improvements.In the first part of the thesis, we analyze the behavior of six state-of-the-art diarization systems, all evaluated on the National Institute of Standards and Technology (NIST) Rich Transcription 2009 evaluation dataset. While performance is typically assessed in terms of a single number – the diarization error rate (DER) – we further characterize the errors based on speech segment durations and their proximity to speaker change points.

Timing analysis is central to the design and implementation of cyber-physical systems. This thesis presents GameTime, a timing analysis toolkit that is based on a combination of game-theoretic online learning and systematic testing using satis ability modulo theories (SMT) solvers. GameTime can be used to tackle a range of problems related to program timing, including estimating the worst-case execution time, predicting the distribution of execution times, and detecting timing-related anomalies.This thesis describes the details of the implementation of GameTime. The notion of basis paths is used to handle the exponentially many paths in a program. The issues that arise during the translation of statements in C programs to the equivalent clauses in SMT queries are presented, and the techniques used by GameTime to address these issues are elaborated through examples. Finally, experimental results demonstrate the speed of GameTime analysis and the accuracy of the predictions made by GameTime, with a relative error margin of less than 5% on most of the benchmarks measured.

The tremendous success of Internet services has led to the rapid growth of Warehouse-Scale Computers (WSCs). The networking infrastructure has become one of the most vital components in a datacenter. With the rapid evolving set of workloads and software, evaluating network designs really requires simulating a computer system with three key features: scale, performance, and accuracy. To avoid the high capital cost of hardware prototyping, many designs have only been evaluated with a very small testbed built with off-the-shelf devices, often running unrealistic microbenchmarks or traces collected from an old cluster. Many evaluations assume the workload is static and that computations are only loosely coupled with the very adaptive networking stack. We argue the research community is facing a hardware-software co-evaluation crisis.In this dissertation, we propose a novel cost-efficient evaluation methodology, called Datacenter-in-a-Box at Low cost (DIABLO), which uses Field-Programmable Gate Arrays (FPGAs) and treats datacenters as whole computers with tightly integrated hardware and software. Instead of prototyping everything in FPGAs, we build realistic reconfigurable abstracted performance models at scales of O(10,000) servers. Our server model runs the full Linux operating system and open-source datacenter software stack, including production software such as memcached. It achieves two orders of magnitude simulation speedup over software-based simulators. This speedup enables us to run the full datacenter software stack for O(100) seconds of simulated time. We have built a DIABLO prototype of a 2,000-node simulated cluster with runtime-configurable 10 Gbps interconnect using 6 multi-FPGA BEE3 boards.

The last decade has witnessed a tremendous growth in wireless communications. Consumer demands for battery-operated mobile devices with versatile, high data-rate communication capabilities that are of low cost, small form-factor and long operating cycle have motivated the research on fully-integrated, back-o -effcient and coexistence-friendly wireless transceivers in CMOS VLSI technology. However, the full integration of an ecient CMOS power ampli er (PA) into such a transceiver is still among the most difficult challenges towards a true System-On-Chip (SOC) solution. This thesis investigates the PA eciency enhancement techniques for a complete power transmitter system that is fully-integrated and coexistable.

This thesis considers the best use of network traffic data to increase cyber security. This operational problem is one of great concern to network administrators and users generally. Our specific task was performed for the Network Security Division of the Army Research Laboratory, who requested we analyze a dataset of cyber-attacks masked in a background of representative network traffic (the 'Skaion' dataset). We find that substantial preprocessing must done before statistical methods can be applied to raw network data, that no single predictor is sufficient, and that the most effective statistical analysis is logistic regression. Our approach is novel in that we consider not only single predictor events, but also combinations of reports from multiple tools. While we consider a number of different statistical techniques, we find that the most satisfactory model is based on logistic regression. Finally, we conclude that while the Skaion dataset is valuable in terms of its new approach to network traffic emulation, the 1999 KDD Cup and DARPA-MIT datasets-despite their many shortcomings-are more clearly organized and accessible to academic study. Cyber security is a globally important problem and datasets like Skaion's must maximize opportunities for cross-disciplinary academic endeavors.

Since the beginnings of the semiconductor revolution, device engineering and material development have been deeply interconnected. Innovations in one invariably spurred development in the other. One of the most important current challenges are developing techniques which enable deposition of materials on arbitrary substrates and the design constraints of devices fabricated via these techniques. This thesis focuses on furthering the materials development-device design cycle for three techniques: (i) epitaxial lift-off, (ii) nanowire growth via the vapor-liquid-solid growth mode, and (iii) the thin-film vapor-liquid-solid growth technique. The physics of devices made via (i) and (ii) are discussed in chapters two and three, the material science of (iii) is discussed in chapter four, and a method to engineer the physical and electronic properties of individual nanowires made via (ii) is discussed in chapter two deals with the device physics and performance of ultra-thin compound semiconductor on insulator field effect transistors. Due to its excellent electron transport properties, InAs is used as the material of choice for the transistors, termed XOI FETs. These devices are fabricated utilizing an epitaxial layer transfer technique, enabling highly lattice mismatched single-crystalline layers of InAs to be deposited on Si wafers. Allowing devices which combine the excellent transport properties of compound-semiconductors and the established processing infrastructure for silicon. Chapter three discusses the design constraints and guidelines for nanopillar photovoltaics, specifically those fabricated utilizing the CdS/CdTe material system. Critically, the materials parameters that are favorable to non-planar cells are discussed, and the performance expectations for CdS/CdTe nanopillar photovoltaics are discussed.

一、工信部发布《电话用户真实身份信息登记规定》；二、国务院发布《国务院关于促进信息消费扩大内需的若干意见》。

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。