基于电子纸屏幕文档版面重构设计与实现

随着电子纸技术、无线网络以及嵌入式等技术的快速发展,移动阅读已悄然兴起。而以电子纸为显示媒介的电子阅读器则备受青睐,市场上相关的嵌入式产品也越来越多。作为其核心之一的格式解析引擎在开发过程中会遇到不少问题。例如:文档格式标准众多,GUI平台差异较大,电子纸刷新速度较慢,等等。提出一种利用中间格式版面重构的方法,设计多格式解析引擎,并详细介绍了在版面重构过程中的一些关键性问题。该系统利用虚拟打印技术,做到了设备无关,以页为基本单位适应电子纸显示特点,支持多国语言的文字排版,支持表格、图形等多种元素,支持文档的缩放、旋转等。经在某商业公司的实验平台验证,该方案具有一定可行性。     

基于产品竞争优势的手机开发设计研究

随着通讯技术的快速发展,手机从1G时代逐步发展到3G,产品也越来越多样化,市场竞争也日益激烈。基于手机市场的现状,作为延续产品生命力的有效形式,产品竞争优势越来越受到厂商的重视。本文先是通过手机产品竞争优势进行分析,然后对产品竞争背景下的手机开发设计进行了详细的探究。     

A comparative survey of artificial intelligence applications in finance: artificial neural networks, expert system and hybrid intelligent systems

Nowadays, many current real financial applications have nonlinear and uncertain behaviors which change across the time. Therefore, the need to solve highly nonlinear, time variant problems has been growing rapidly. These problems along with other problems of traditional models caused growing interest in artificial intelligent techniques. In this paper, comparative research review of three famous artificial intelligence techniques, i.e., artificial neural networks, expert systems and hybrid intelligence systems, in financial market has been done. A financial market also has been categorized on three domains: credit evaluation, portfolio management and financial prediction and planning. For each technique, most famous and especially recent researches have been discussed in comparative aspect. Results show that accuracy of these artificial intelligent methods is superior to that of traditional statistical methods in dealing with financial problems, especially regarding nonlinear patterns. However, this outperformance is not absolute.     

基于安卓5 G信号参数获取上报的APP设计与实现

随着互联网和移动网络通信技术的快速发展,移动网络通信在短短的几年间就由2G时代、3G时代发展为目前的5G时代.在5G部署的过程中,为方便计算机能获取与分析5G信号参数,设计了一款基于安卓移动端的5G信号获取上报软件.该安卓软件以手机端为基础,通过5G移动传输网络和内部传输网络为传输途径,第一:实现了5G信号中的重要参数...     

交叉融合的“人工智能+”学科建设探索与实践

目前,人类正迈入智能时代,人工智能与经济、社会的发展深度融合,成为了孕育新一轮科技革命和产业变革的核心推动力量,培养智能社会建设所需要的跨学科人工智能创新创业人才变得极为必要。为了适应智能时代对人才培养的这一迫切需求,高校需要加强智能类学科建设,探索交叉融合的“人工智能+”学科建设新模式,提升人工智能领域学科地位并创新拓展其他学科的发展建设方向。文中提出了“人工智能+”学科建设的交叉融合模式:一方面,从人工智能学科内涵出发,依托计算机科学与技术学科开展人工智能基础学科方向建设,夯实人工智能领域学科的基础;另一方面,结合社会经济产业发展的重点领域方向布局,依托相关领域优势学科发展建设行业领域智能化新学科方向,实现人工智能学科建设与其他领域学科建设的共融共生、相互助力、协同发展。在重庆邮电大学和重庆市的学科建设中,这一模式发挥了显著作用,为人工智能领域的学科建设提供了有益参考。     

有效改善WAP网关负荷的网关分流技术创新

随着电信业进入移动互联网时代,以手机浏览器、QQ、微信为代表的手机数据业务高速发展,手机用户访问互联网资源,就需要通过WAP网关建立用户代理与中继服务器的数据访问通道。WAP网关负荷增长迅速,单纯依靠扩容WAP网关能力既造成投资大量浪费,又使WAP网关成为手机用户上网的瓶颈,中国电信股份有限公司云南分公司大胆开展WAP网关分流工作,通过分流,有效地降低了WAP网关负荷。     

PhoneSuite文件的一种实用批量编辑方法

本文研究分析了一种手机中常见文件-PhoneSuite格式文件的存储格式,探索了这种文件在Windows平台下进行编辑、存取的方法,提供了一种快速地大批量导入导出手机电话号码的途径,方便了用户使用EXCEL等软件对手机电话号码薄进行日常管理,电话号码薄原存储格式仅需windows支持即可。     

手机产品的差异性对手机在线阅读行为的影响

本文研究的是手机产品的差异性对手机在线阅读行为的影响.通过分析用户的手机在线阅读行为,从“手机观感”,“手机性能”,“网络情况”三大基本影响因素进行探讨分析,通过相关理论研究以及问卷调查的方式得出手机性能、显示舒适度对手机在线阅读行为的影响最大,以及阅读平台的性能、版面设计、附加功能丰富度对其关系都具有一定的调节作用,且调节作用的大小不一.     

Crowd intelligence in AI 2.0 era

The Internet based cyber-physical world has profoundly changed the information environment for the development of artificial intelligence (AI), bringing a new wave of AI research and promoting it into the new era of AI 2.0. As one of the most prominent characteristics of research in AI 2.0 era, crowd intelligence has attracted much attention from both industry and research communities. Specifically, crowd intelligence provides a novel problem-solving paradigm through gathering the intelligence of crowds to address challenges. In particular, due to the rapid development of the sharing economy, crowd intelligence not only becomes a new approach to solving scientific challenges, but has also been integrated into all kinds of application scenarios in daily life, e.g., online-to-offline (O2O) application, real-time traffic monitoring, and logistics management. In this paper, we survey existing studies of crowd intelligence. First, we describe the concept of crowd intelligence, and explain its relationship to the existing related concepts, e.g., crowdsourcing and human computation. Then, we introduce four categories of representative crowd intelligence platforms. We summarize three core research problems and the state-of-the-art techniques of crowd intelligence. Finally, we discuss promising future research directions of crowd intelligence.     

The Ten Shades of Silver: Segmentation of Older Adults in the Mobile Phone Market

With the closing of the age-related gap in mobile phone uptake and the aging of the population, older adults have increasingly become a desirable target group for mobile phone providers. Although there is abundant literature describing the use of mobile phones among older adults, segmentation studies on this group of consumers remain scant and inconclusive. Drawing on the benefit and behavioral segmentation, this study presents a segmentation model of older adults in the mobile phone market that incorporates a wide variety of consumer behavior, attitudinal, and acceptance variables relevant for the understanding of mobile phone (non-)usage patterns among users of feature phones and smartphones, as well as among mobile phone nonusers. The model is based on a hybrid approach with a two-step cluster analysis using data collected by a telephone survey from a representative sample (n = 1,581) of adults aged 55 or older in Slovenia in 2015. The analysis yielded two uniquely profiled clusters within each of the five a priori-determined segments, summing to a total of 10 clusters. The results show that older adults still prefer feature phones. Nevertheless, the mobile phone market has become highly heterogeneous, with clusters of older adults having distinguishable feature phone- and smartphone-use patterns as well as socio-demographic and life-course profiles. Since many of these profiles undermine the notion of older adults as “basic” mobile phone users, our findings represent a solid foundation for scholars and marketers to further investigate their specific needs in relation to more advanced smartphone and mobile internet usage.     

Technology-driven information sharing and conditional financial development in Africa

ABSTRACT

Information technology is increasingly facilitating mechanisms by which information asymmetry between lenders and borrowers in the financial sector can be reduced in order to enhance financial access for human and economic development in developing countries. We examine conditional financial development from ICT-driven information sharing in 53 African countries for the period 2004–2011, using contemporary and non-contemporary quantile regressions. ICT is measured with mobile phone penetration and internet penetration, whereas information-sharing offices are public credit registries and private credit bureaus. The following findings are established. First, there are positive effects with positive thresholds from ICT-driven information sharing on financial depth (money supply and liquid liabilities) and financial activity (at banking and financial system levels). Second, for financial intermediation efficiency, the positive effects from mobile-driven information sharing are apparent exclusively in certain levels of financial efficiency. Third, with regard to financial size, mobile-driven information sharing is positive with a negative threshold, whereas internet-driven information sharing is positive exclusively among countries in the bottom half of financial size. Positive thresholds are defined as decreasing negative or increasing positive estimated effects from information-sharing offices and vice versa for negative thresholds. Policy implications are discussed.     

Certificate sharing system for secure certificate distribution in mobile environment

As mobile and Internet technologies evolve, mobile services (e.g., Internet banking, social commerce) continuously expand and diversify. In order to use these mobile services, it is essential that security services, especially distribution certificates (e.g., bank certificates), relevant to mobile devices be provided. Some approaches to providing distribution certificates between a user's mobile device and a personal computer (PC) have been proposed. However, the existing approaches do not guarantee that the certificate in the mobile devices same with the issued one from the PC, causing constraints on mobile services such as mobile phone banking and mobile commerce (M-commerce).In this paper, we propose a novel approach that shares certificates securely without modification of the existing standard certificate format between a smartphone and a PC. We also implemented the certificate sharing system (CSS) in a virtual private network (VPN). The CSS provides strong end-to-end data security for the certificate with a key size of 192-bits which is able to guarantee an expiration date of three years. It also provides strong data security on physical devices with the use of device ID. The certificate that is shared between devices is available only through the CSS's authorization process. In addition, the CSS provides a flexible and extensible system for sharing certificates in enterprise environments. The CSS module of a PC was implemented by way of a standard web language, and the CSS module of a smartphone was developed with the assistance of mobile applications with a small size of 1210KB.     

5G 时代智能媒体产业变革与管理模式创新研究

With the rapid development of technologies such as artificial intelligence and big data in the 5G era, the development of in- telligent media is the general trend. This study mainly discusses on three aspects such as the deep integration of 5G andAI, the devel- opment trend of the intelligent media industry and the innovation of management models. It briefly analyzes the deep integration of 5G, artificial intelligence and media, and analyzes the influence of 5G and AI on the development of new media. It also explores the development trend and management model of intelligent media in the 5G era, hoping to explore on the media integration develop- ment with Chinese characteristics and information era characteristics.     

Financial market monitoring by case-based reasoning

This paper shows that case-based reasoning (CBR), an artificial intelligence technique, is a quite efficient tool in monitoring financial market against its possible collapse. For this purpose, daily financial condition indicator (DFCI) monitoring financial market is built on CBR and its performance is compared to DFCI on neural network. This study is empirically done for the Korean financial market.     

手机银行短信息的BCH-NAF-RSA快速编译与加密及其安全实现

智能手机的快速普及推动着通信运营商不断开发新的诸如手机银行类的增值业务以增长利润, 这些业务往往通过短信中心来完成. 为了安全快速的实现这些业务, 这里改进了信号发射台短信息的编译码算法, 引入一种优化的BCH迭代译码算法, 来设计和实现手机短信寻呼台译码器, 这种译码算法错码率较小, 能大大增强纠错能力, 提高了短信的发送质量. 同时对短信息的加密和解密算法进行了优化, 提出了一种优化的低存储NAF点压缩数乘算法, 大大地缩短了点乘运算的运行时间, 节约了存储空间, 经过NAF和BCH快速编译后, 利用安全性较高的基于圆锥曲线的RSA公钥密码来进行加密, 以提高手机短信寻呼台信号呼出和呼入的速度及其安全性, 保证了手机银行短消息业务的安全快捷实现.     

Keystroke dynamics-based authentication for mobile devices

Recently, mobile devices are used in financial applications such as banking and stock trading. However, unlike desktops and notebook computers, a 4-digit personal identification number (PIN) is often adopted as the only security mechanism for mobile devices. Because of their limited length, PINs are vulnerable to shoulder surfing and systematic trial-and-error attacks. This paper reports the effectiveness of user authentication using keystroke dynamics-based authentication (KDA) on mobile devices. We found that a KDA system can be effective for mobile devices in terms of authentication accuracy. Use of artificial rhythms leads to even better authentication performance.     

A benefit–cost perspective of the consumer adoption of the mobile banking system

The present research adopts a benefit–cost perspective to study consumer adoption of the mobile banking services. It is suggested that because of the specific product context of the mobile banking service, such as the difficulty to assess some experiential qualities like the ease of use due to a low trial rate of mobile banking and the inherent risk factor involved in a new financial service technology, models complementary to the technology adoption model may be needed to accommodate these product contexts. In the present research, the benefit–cost framework was employed as an example of the complementary framework to study consumers' adoption of the mobile banking system. The key benefit of mobile banking is convenience, while the key cost is security. A set of ability and risk factors were modelled via structural equation model (SEM) as the antecedents of the benefit and cost of adopting the mobile banking system. The results showed that the empirical data supported most hypothesised relationships among the factors. It is concluded that consumers' new technology adoption behaviour is a complicated phenomenon which may require different models in different product contexts. It is suggested that future research should address the issue of the preconditions and product contexts under which a certain class of models may be most suitable to explain the adoption behaviour.     

The Mobile Phone: An Identity on the Move

This paper analyses the shifting identity of the mobile phone in the light of research carried out in 1996 on a representative population sample from five major European countries: Italy, UK, France, Germany and Spain. A total of 6609 people were interviewed by means of a telephone survey. The mobile phone emerged as a charismatic technology compared to other mobile technologies (laptop and car phone) and as a leading technology that, in just a few years, has appropriated 11% of total telephone traffic. It has “dragged” its widespread presence and amount of use from the workplace to the domestic sphere, although in Italy, where it has had greatest success, its widespread use has been detached from its use in the workplace. Another emerging result is that the use of the mobile phone is not correlated to strong residential mobility in individuals.     

智能家电远程控制的研究

研制了智能家电的手机控制系统,能通过手机短消息控制家庭内的各种家电的开关.在控制系统中植入手机SIM卡,并在PC机中设置可接收手机号码以及短消息的形式.在SIM卡收到消息后,将消息串行送入单片机中,单片机内根据收到消息通过红外传输将电开关控制指令传送至另一单片机,该单片机控制着家电继电器开关,通过继电器的控制实现家电的断开与闭合.     

浅谈信息时代人工智能的应用与发展

21世纪是计算机科技飞速发展的时代,随着科技的不断发展,一些新型人工智能技术正在走进人类的生活,其中特别值得我们注意的是智能体技术。通过这篇文章我们要了解人工智能的几种类型和应用以及在未来的发展,并对人工智能的发展前景进行分析。