农村电话用户市场调查与分析

受中国电信委托、原邮电部经济技术发展研究中心在全国进行一次农村电信市场调查，以了解当前农村通信市场发展潜力，本文公布了此次调查的结果，从经济能力、资费和潜在市场等方面提出了发展农话的建议 。     

开发“民间商用电话保密机”的市场评估

给出了民用电话保密产品需求量分析和对民用电话加密装置的六点要求及其市场效益评估。     

Using information-systems constructs to study online- and telephone-banking technologies

The research literature has seen a number of studies aimed at understanding customer attitudes towards banking technologies, and thereby providing implications for developmental planning and marketing. However, even though banking technologies have a significant amount of information systems (IS) component to them, there is a paucity of research that considers them from the IS perspective. In this paper, we fill this gap by considering three constructs, namely usefulness, ease of use and usage, that are all rooted in the IS literature. We study user’s perceptions of these constructs, as well as the relationships among them, for both online and telephone banking.     

PC机远程通信方法研究

在分析用电话线及ＭＯＤＥＭ进行ＰＣ机点－点远程通信和利用局城网ＬＡＮ进行ＰＣ机通信的优缺点后，本文介绍用通信服务器进行ＰＣ机远程通信的方法．     

全球电信业发展一览

介绍了世界主要国家和地区电信业的发展情况。     

简易太阳能手机充电器的设计

设计了一款简易太阳能手机充电器,对充电电路的稳压模块、充电保护模块、充电控制模块等进行电路的分析与研究,阐述了电路的工作原理,实际测试表明,该充电器工作稳定、可靠,使用灵活。     

Trust fraud: A crucial challenge for China’s e-commerce market

Currently, China’s e-commerce market is growing at an unprecedented pace, however, it is faced with many challenges, among which the trust fraud problem is the biggest issue. In this article, we use Taobao as an example and conduct a thorough investigation of the trust fraud phenomenon in China’s e-commerce market. We present the development history of trust fraud, summarize its unique characteristics, and explore the reasons why so many sellers commit fraud. We further propose a dynamic time decay trust model that aims to deter trust fraud by raising its cost and promote the growth of small and medium-sized sellers. The model utilizes detailed seller ratings as the data source, and incorporates a transaction amount weight, a time decay coefficient, and three trust factors in the calculation of trust. We test the model on real transaction data from Taobao, and the experimental results verify its effectiveness. Our proposed trust model yields a practical approach to online trust management not only in the Taobao market but also for other e-commerce platforms.     

Examining the significance of high-level programming features in source code author classification

The use of Source Code Author Profiles (SCAP) represents a new, highly accurate approach to source code authorship identification that is, unlike previous methods, language independent. While accuracy is clearly a crucial requirement of any author identification method, in cases of litigation regarding authorship, plagiarism, and so on, there is also a need to know why it is claimed that a piece of code is written by a particular author. What is it about that piece of code that suggests a particular author? What features in the code make one author more likely than another? In this study, we describe a means of identifying the high-level features that contribute to source code authorship identification using as a tool the SCAP method. A variety of features are considered for Java and Common Lisp and the importance of each feature in determining authorship is measured through a sequence of experiments in which we remove one feature at a time. The results show that, for these programs, comments, layout features and package-related naming influence classification accuracy whereas user-defined naming, an obvious programmer related feature, does not appear to influence accuracy. A comparison is also made between the relative feature contributions in programs written in the two languages.     

Transport ticketing security and fraud controls

For many years, public transportation systems have been an essential part of day-to-day life and so the principle of needing a “ticket” has been familiar to generations of travellers. However as technology has advanced it has become possible to make use of electronic tickets that have significant advantages both for travellers and for the transport system operators. There has been a lot of recent publicity regarding weaknesses in some electronic ticket solutions; which whilst based on some solid facts tend to suggest that transport ticket security and fraud control is primarily a smart card/RFID technology issue. However this cannot be the case as systems exist that do not use such technology; or use it along side legacy systems. This paper will consider technology problems, but will first establish the bigger picture of transport ticketing and will finally make suggestions for future evolution of such systems.     

Transaction aggregation as a strategy for credit card fraud detection

The problem of preprocessing transaction data for supervised fraud classification is considered. It is impractical to present an entire series of transactions to a fraud detection system, partly because of the very high dimensionality of such data but also because of the heterogeneity of the transactions. Hence, a framework for transaction aggregation is considered and its effectiveness is evaluated against transaction-level detection, using a variety of classification methods and a realistic cost-based performance measure. These methods are applied in two case studies using real data. Transaction aggregation is found to be advantageous in many but not all circumstances. Also, the length of the aggregation period has a large impact upon performance. Aggregation seems particularly effective when a random forest is used for classification. Moreover, random forests were found to perform better than other classification methods, including SVMs, logistic regression and KNN. Aggregation also has the advantage of not requiring precisely labeled data and may be more robust to the effects of population drift.