an economical and flexible way to data owners for delivering spatial data to users of location-based services would be Outsourcing spatial databases to the cloud. In this data outsourcing model the service provider can be untrustworthy. It may return incorrect or incomplete query results to clients intentionally or not. Ensuring spatial query integrity is critical. Here an efficient road networ...

Proximity searching consists in retrieving from a database, objects that are close to a query. For this type of searching problem, the most general model is the metric space, where proximity is defined in terms of a distance function. A solution for this problem consists in building an offline index to quickly satisfy online queries. The ultimate goal is to use as few distance computations as p...

The disease is a common thing in humans. Diseases that attack humans do not know anyone and age. experienced by person starts from an ordinary level until it can be declared severe to the point of being at risk death. In this study, early diagnosis was carried out related diabetes, where diabetes condition which sufferer’s body has low sugar levels above normal. Symptoms sufferers include frequ...

Classification step is one of the most important tasks in any recognition system. This step depends greatly on the quality and efficiency of the extracted features, which in turn determines the efficient and appropriate classifier for each system. This study is an investigation of using both KNearest Neighbor (KNN) and Random Forest Tree (RFT) classifiers with previously tested statistical feat...

In this paper, we describe a manual wheelchair propulsion classification system which recognizes different patterns using a wrist mounted accelerometer. Four distinct propulsion patterns have been identified in a limited user study. This study is the first attempt at classifying wheelchair propulsion patterns using lowfidelity, body-worn sensors. Data was collected using all four propulsion pat...

Twitter is a highly popular social networking service and a web-based communication platform with million users exchanging daily public messages, namely tweets, expressing their opinion and feelings towards various issues. Twitter represents one of the largest and most dynamic datasets for data mining and sentiment analysis. Therefore, Twitter Sentiment Analysis constitutes a prominent and an a...

Gait based gender identification has received a great attention from researchers in the last decade due to its potential in different applications. This will help a human identification system to focus only on the identified gender related features, which can improve search speed and efficiency of the retrieval system by limiting the subsequent searching space into either a male database or fem...

In this paper, the problem of frontal view recognition on still images is confronted, using subspace learning methods. The aim is to acquire the frontal images of a person in order to achieve better results in later face or facial expression recognition. For this purpose, we utilize a relatively new subspace learning technique, Clustering based Discriminant Analysis (CDA) against two well-known...

Text Categorization is traditionally done by using the term frequency and inverse document frequency.This type of method is not very good because, some words which are not so important may appear in the document .The term frequency of unimportant words may increase and document may be classified in the wrong category.For reducing the error of classifying of documents in wrong category. The Dist...

Information about the emotional state of users has become more and more important in human-machine interaction and braincomputer interface. This paper introduces an emotion recognition system based on electroencephalogram (EEG) signals. Experiments using movie elicitation are designed for acquiring subject’s EEG signals to classify four emotion states, joy, relax, sad, and fear. After pre-proce...