Coupled-fed Printed PIFA for Internal Eight-Band LTE/GSM/UMTS Mobile Phone

A coupled-fed printed PIFA （Pla- nar Inverted-F antenna） for eight-band operation cov- ering the LTET00/2300/2500 and GSM850/900/1800/ 1900/UMTS2100 bands in the mobile phone is presented. The proposed antenna comprises a driven W-mouopole and two coupled folded-strips. The folded strip which is coplaner with the T-monopole is called strip 1 and the folded-strip on the back of the system circuit board is called strip 2. The strip 1 is short-circuited to the system ground through an inductance and the Strip 2 is short-circuited to the system ground plane of the mobile phone directly. The driven T-monopole and the strip 1 contribute a wide band for the antenna＇s upper band （1710-2690MHz）, whereas the strip 2 generates a resonant mode for the anteuna＇s lower band （698-960MHz）. The antenna＇s two wide op- erating bands are achieved and controlled by tuning the width of the T-monopole, the gap g3 between the strip 1 and the T-monopole, and the dimensions of the strip 2 on the back of the system circuit board. Details of the pro- posed antenna are described, and the obtained results are presented and discussed.     

基于云计算的移动互联网服务提供模式

简要阐述了移动互联网发展状况及电信运营商面临的机遇和挑战,并对基于云计算的移动互联网服务提供模式进行了详细阐述。     

面向无人机自组网和车联网的媒体接入控制协议研究综述

随着移动通信技术的迭代更新,车联网(VANET)和无人机自组网(FANETs)已成为通信网络的重要组成部分,而媒体接入控制(MAC)协议则是移动自组织网络未来发展的核心研究内容之一。安全控制信息和用户业务信息是自组织网络最主要的两类信息,而两者不同的服务质量(QoS)需求对MAC机制的设计带来了严峻的考验。该文主要考虑车联网和无人机自组网,针对其网络特征,从不同的优化目标出发,对其使用的MAC协议进行分析与归纳,并对下一步的研究方向进行了思考与展望。     

A survey on deploying mobile deep learning applications: A systemic and technical perspective

With the rapid development of mobile devices and deep learning, mobile smart applications using deep learning technology have sprung up. It satisfies multiple needs of users, network operators and service providers, and rapidly becomes a main research focus. In recent years, deep learning has achieved tremendous success in image processing, natural language processing, language analysis and other research fields. Despite the task performance has been greatly improved, the resources required to run these models have increased significantly. This poses a major challenge for deploying such applications on resource-restricted mobile devices. Mobile intelligence needs faster mobile processors, more storage space, smaller but more accurate models, and even the assistance of other network nodes. To help the readers establish a global concept of the entire research direction concisely, we classify the latest works in this field into two categories, which are local optimization on mobile devices and distributed optimization based on the computational position of machine learning tasks. We also list a few typical scenarios to make readers realize the importance and indispensability of mobile deep learning applications. Finally, we conjecture what the future may hold for deploying deep learning applications on mobile devices research, which may help to stimulate new ideas.     

浅析移动增值业务的发展趋势

近年来移动增值业务以强劲的增长速度、快速的市场渗透力创造了巨大的经济效益。在我国,移动增值业务为运营商带来了显著的经济效益,成为拉动总业务收入的生力军。与此同时,一个基于移动通信的信息服务产业应运而生,形成了以基础电信运营商、服务提供商（SP）、内容提供商（CP）和各类应用开发商等共同组成的新兴产业。随着信息通信技术和互联网的快速发展,人们对移动增值业务的需求也逐步呈现综合化、多媒体化和个性化的发展趋势。在当前背景下,各种网络新技术的研究和应用的根本目的都是提升服务和业务能力,其关键就是实现业务的融合与统一。     

移动通信技术的发展及其演进

文章在介绍第2代、第3代移动通信应用和技术特点的基础上,分析和探讨了第2代移动通信如何向第3代过渡以及移动通信未来技术的发展等问题。     

Why do people purchase virtual goods? A uses and gratification (U&G) theory perspective

Few literature studies have investigated the relationships between different uses and gratifications (U&Gs) of mobile instant messaging (MIM) apps, continuation, and purchase intentions. To address this gap, the researchers aimed to examine the influence of the content, social, process, and technology U&Gs of MIM on continuation intentions toward MIMs, and purchase intentions toward virtual goods available on MIMs. A comprehensive research model was developed based on the U&G theory, which was tested using cross-sectional data from 309 Japanese MIM users. The study considered six different U&Gs of MIM as independent variables and purchase intentions towards stickers and continuation intentions towards MIM as dependent variables. The study results suggest that exposure U&G has a significant positive association with MIM sticker purchase intentions. The entertainment and affection U&G are positively associated with continuation intentions towards MIM use. The study contributes to the literature by investigating U&Gs that motivate MIM users to have both positive purchase intentions toward virtual goods, such as stickers, and continuation intentions toward MIMs. The study has significant theoretical and practical implications for both researchers and practitioners who are interested in virtual goods, the virtual economy, MIM apps, social media, new media, and the service economy.     

基于Pocket PC的GIS.NET框架分析与研究

嵌入式地理信息系统是导航、定位、地图查询和空间数据管理的一种理想解决方案,Windows Mobile则为基于Pocket PC上的应用程序的开发提供了一个坚实的平台。随着Microsoft.NET Compact Framework 2.0的出现,美国Geo-frameworks公司搭建了基于Pocket PC的GIS.NET框架,从而使Windows Mobile平台上地理信息系统的实现更加高效。分析了GIS.NET的框架设计,并对该框架的功能进行扩展研究,指出了该框架的应用价值。     

Underwater image super-resolution using multi-stage information distillation networks

Recently, single image super-resolution (SISR) has been widely applied in the fields of underwater robot vision and obtained remarkable performance. However, most current methods generally suffered from the problem of a heavy burden on computational resources with large model sizes, which limited their real-world underwater robotic applications. In this paper, we introduce and tackle the super resolution (SR) problem for underwater robot vision and provide an efficient solution for near real-time applications. We present a novel lightweight multi-stage information distillation network, named MSIDN, for better balancing performance against applicability, which aggregates the local distilled features from different stages for more powerful feature representation. Moreover, a novel recursive residual feature distillation (RRFD) module is constructed to progressively extract useful features with a modest number of parameters in each stage. We also propose a channel interaction & distillation (CI&D) module that employs channel split operation on the preceding features to produce two-part features and utilizes the inter channel-wise interaction information between them to generate the distilled features, which can effectively extract the useful information of current stage without extra parameters. Besides, we present USR-2K dataset, a collection of over 1.6K samples for large-scale underwater image SR training, and a testset with an additional 400 samples for benchmark evaluation. Extensive experiments on several standard benchmark datasets show that the proposed MSIDN can provide state-of-the-art or even better performance in both quantitative and qualitative measurements.     

Consumers’ acceptance of information and communications technology in tourism: A review

The impact of information and communications technology (ICT) in tourism (e-tourism) has altered the ways tourism services are accessed and consumed. Ubiquitous and highly innovative ICTs provide different channels for consumers to use tourism services; thus, studies on e-tourism are numerous and fragmented. Different factors account for how consumers embrace these channels. The purpose of this study is to review studies on consumers’ acceptance or adoption of e-tourism in order to group the studies, synthesize the theories, models and frameworks used and identify the antecedents influencing consumers’ e-tourism acceptance and usage. A total of 71 studies from 2005 to 2016 (inclusive) from both tourism-based and non-tourism-based journals were selected, synthesized, and included. Based on their contexts, similarity and relevance, the 71 studies were segregated into three distinct groups. This study found that research among the groups is uneven. Implications and research directions are suggested.