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With the development of e-commerce, online shopping becomes increasingly popular. Very often, online shopping customers read reviews written by other customers to compare similar items. However, the number of customer reviews is typically too large to look through in a reasonable amount of time. To extract information that can be used for online shopping decision support, this paper investigates a...
Human motion detection based on CSI (Channel State Information) is a hot research topic. Many researchers started to focus on it. In this paper, we employ the CSI to detect fall behavior. Firstly, a data weighting operation to smooth the noise will be implemented. Secondly, we extract behaviors data by effect size. Thirdly, several features will be extracted to represent the original data. Finally,...
With the increase of systems' complexity, exception detection becomes more important and difficult. For most complex systems, like cloud platform, exception detection is mainly conducted by analyzing a large amount of telemetry data collected from systems at runtime. Time series data and events data are two major types of telemetry data. Techniques of correlation analysis are important tools that...
This research studies users' adoption process of WiMAX. This process cannot be viewed in isolation and must consider the effect of co-existing telecommunication networks and a highly saturated market. WiMAX success would involve getting existing mobile subscribers to switch over to WiMAX. Hence, 2/2.5G and 3G subscribers are used separately as subjects of investigation because they are likely to form...
Conventional data grid systems require the application to access remote data through explicit APIs, consequently sacrificing user transparency. Thus, some systems enable the application to transparently access remote data by copying the entire file to a userpsilas local storage before executing the application, even when only a tiny file fragment is required. Such an approach consumes unnecessary...
This paper presents an overview of the emerging field of emotion detection from text and describes the current generation of detection methods that are usually divided into the following three main categories: keyword-based, learning-based, and hybrid recommendation approaches. Limitations of current detection methods are examined, and possible solutions are suggested to improve emotion detection...
Two-phase nanocomposite heteroepitaxial films with vertical microstructures hold great promise for various (multi)functional (e.g., multiferroic) electronic device applications. With the aim of creating addressable arrays, it is necessary to form spontaneously ordered structures over large areas. However, such structures have not, so far, been demonstrated. We have recently produced remarkable spontaneously...
For aspect oriented Web service orchestration, there are two major problems, aspect determination and crosscutting base with aspect. Contrary to other researches focusing on implementation, this paper presents an aspect oriented design method, Themes4BPEL. The novelty of this approach is that it includes five rules to differentiate aspect from base with three views analysis. And the test cases for...
How to composite Web service is one the most important problems of next generation Internet (NGI) researching. In order to reuse complex service for service composition, multi-scale Web service composition (MSWC) is proposed. Inspired by word segmenting algorithm, service composition can be achieved by diving service request into several groups and mapping these groups into existed complex services...
This paper proposed an optimization long-term energy purchasing model of a distribution company (Disco) in transmission and distribution separated power market based on pool and financial bilateral contracts. Additionally there are some distributed generations (DG) in the power systems. Thus, the Disco purchases electricity energy according to the offers of DG units, Pool and several types bilateral...
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