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Parallel parking is challenge for all drivers say amateurs or the experts. An automatic car parking system is a solution to this ordeal. This vehicular technology has been implemented using many other systems but a cost effective, simple and accurate solution will be greatly appreciated. This paper explains in detail a simple and precise autonomous car-parking algorithm for Ackerman steering configuration...
Automatic classification of electroencephalography (EEG) signals, for different type of mental activities, is an active area of research and has many applications such as brain computer interface (BCI) and medical diagnoses. We introduce a simple yet effective way to use Kullback-Leibler (KL) divergence in the classification of raw EEG signals. We show that k-nearest neighbor (k-NN) algorithm with...
The novel representation of the graph using edge based data structure, as proposed in [1] is an adapted version of half edge structure, traditionally used in digital geometry processing [6]. This edge based data structure provides an efficient way for storing and accessing graphs. However the shortest path algorithm implemented in [1] on the above mentioned data structure proves to be inefficient...
Many location-based services for alerting persons of nearby friends have been deployed in practice. A drawback of most approaches to providing such services is that friends always learn each other's location even when they are not actually nearby. The Louis protocol proposed by Zhong, Goldberg and Hengartner aims to ensure that a friend's location is revealed to another friend if and only if the friends...
Efficiency of present path loss models suffers when they are used in the environment other than for which they have been designed. The aim of this paper is to propose the predicting the path loss with the field measurement models and represent them in a more convenient form for the proposed fuzzy logic modeling. This paper proposes method to predict path loss for correct location of base station in...
Current approaches to pose estimation and tracking can be classified into two categories: generative and discriminative. While generative approaches can accurately determine human pose from image observations, they are computationally expensive due to search in the high dimensional human pose space. On the other hand, discriminative approaches do not generalize well, but are computationally efficient...
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