Peng Zhuang

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One of the main goals of intelligent transportation systems (ITS) is economical profit in the form of fuel consumption reduction, efficient use of existing infrastructure, pollution reduction and so on. Certainly, the economical goal is not the only one. Increasing mobility, safety and passenger comfort are other very strong motivations for implementation(More)
In recent years, we have witnessed a gold rush of location based services enabled by location awareness and persistent Internet connections of modern smartphones. However, the poor performance of indoor localization remains an obstacle to providing these services effectively inside buildings. Obtaining a comprehensive database of points of interest and high(More)
Measuring traffic flow plays an important role in intelligent transportation systems. In recent years, the technology of sensor network has been brought into the field due to their reliability and non-intrusiveness. In this paper, we propose a framework to reduce the installation and maintenance cost of traffic measuring sensor networks. The key to the(More)
In recent years, wireless sensor networks have been used in applications of data gathering and target localization across large geographical areas. In this paper, we study the issues involved in applying wireless sensor networks to search and rescue of lost hikers in trails and focus on the optimal placement of sensors and access points such that the cost(More)
Present study provides some modified techniques for time series based forecasting for the yield of any crop year. Our study can help in inventory management of wheat yield and for management of storage space. We are using the data of previous years and proposing a new method by using the fuzzy time series forecasting technique References-A unified approach(More)
Linear regression model is widely used in data stream prediction processing. In order to eliminate the prediction deviation caused by small data set, curve tendency correction technique is used to increase the prediction accuracy. Firstly the weighted moving method is used to modify the prediction function parameters. This algorithm improves the predicting(More)