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With the proliferation of mobile application (app) markets (e.g., Google Play, Apple App Store), predicting user preferences on apps becomes a challenging problem. Different from previous work, we assume that a user likes an app because he/she likes certain features of the app (e.g., permission, genre, topic). Based on this assumption, we propose a feature-oriented approach to predict user preferences...
The process of ACC vehicle running in the curve is divided into three kinds of working conditions: Enter the Curve, In the Curve and Come off the Curve. Based on the prediction of lane radius, the ACC system operating mode switching logic is designed, and vehicle track radius is used to identify the target vehicle in the front. The feasibility of curve target recognition algorithm and switching logic...
Research on the influence of specific hydrological environment change on current velocity and water exchange has a long history in oceanography; however, the majority of previous work has been based on traditional ocean models such as POM and FVCOM. This paper presents a stable joint method that combines a support vector machine with a hydrological model to predict current velocity in different hydrological...
Application Programming Interfaces (APIs), which are emerging web services in general, are increasing with a rapid speed in recent years. With so many APIs, many management platforms have been developed and deployed, leading to the boom of API markets, that are similar to the mobile App markets. Meanwhile, it has become more and more difficult to select and manage APIs. In reality, most existing management...
With the explosive growth of Web services on the Internet, Quality-of-Service-based (QoS) service selection is becoming an important issue of service-oriented computing. The QoS values of services to current users are all supposed to be known in the previous works, while lots of them are not known in reality. In order to predict the missing data, many approaches have been employed in recent years...
With the development of Service Oriented Computing and the explosive growth of services, QoS (Quality of Service) based service computing, e.g., QoS-based selection and composition, is becoming more and more important. A common premise of previous research is that the QoS values of services to target users are supposed to be all known, while many QoS values are unknown in reality. This paper presents...
This paper innovatively proposes an indoor wireless propagation model in WiFi radio-over-fiber network architecture for received signal strength (RSS) based localization in the Internet of Things. The proposed model adds attenuation terms of obstacles in each sub-space by dividing the room into several sub-spaces according to the obstacles' distribution. The influence of obstacles in sub-space on...
As one of the important economic provinces in China, Shandong province plays an important role in energy production and energy consumption. Based on the revised time-series data of the energy production and supply in 1985-2009 in Shandong province, this study has established a grey forecasting model GM (1, 1) and made the accuracy checking for it. Smoothing test and exponential test are employed here...
Micro combustion chamber is the core part of the MTPV power system. But the size of the combustor always is determined by the experience. In the article, we attempt to predict the size of Micro combustion chamber according to the temperature distribution trend of wall with GM (1, 1) model of the grey theory system. Conversion efficiency map of GaAs photoelectric element is forecast feasible condition...
Combustors are core parts of the Micro-thermo photovoltaic System (MTPV), and their operation process has a significant influence on energy conversion efficiency of the whole system. Introduction of the grey system theory quantifies the tube length and selection point of internal sudden step in the combustor in MTPV system, optimizing the conversion efficiency of the whole system and providing a basis...
It is of great theoretical and practical significance of the coal and gas outburst prediction. Through the study of the original samples and the example analysis of the Predictable samples, coal and gas outburst prediction based on artificial neural network model is studied. According to the characteristics of coal and gas outburst and coal and gas outburst data indicators, a coal and gas outburst...
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