The work reported here presents a methodology based on a two-fluid model to assess the degree of influence of various geometric and control features of an urban network on the quality of traffic service. The two-fluid model gives a curvilinear relation between the trip time and stop time per unit distance and its parameters characterize the quality of traffic service in urban networks. Any Chan...

In this paper we show that it is possible to make good predictions of text relevance, from only features of conscious eye movements during reading. We pay special attention to the order in which the lines of text are read, and compute simple features of this sequence. Artificial neural networks are applied to classify the relevance of the read lines. The use of ensemble techniques creates stabl...

in a mobile ad hoc network, there are some features such as the ability to exploit multipath effect for information exchange with high reliability and low error rate. dealing with the aggressors and discovering the path in data transmission are of importance. approaching these goals ends in network promotion and efficiency. in this paper, the designed protocol is able to discover multipath fo...

Airborne laser scanning (ALS) point cloud has been widely used in the fields of ground powerline surveying, forest monitoring, urban modeling, and so on because great convenience it brings to people’s daily life. However, sparsity uneven distribution clouds increases difficulty setting uniform parameters for semantic classification. The PointNet++ network is an end-to-end learning irregular dat...

Under the conditional independence assumption among local features, the Naive Bayes Nearest Neighbor (NBNN) classifier has been recently proposed and performs classification without any training nor quantization phases. While the original NBNN shows high classification accuracy without adopting an explicit training phase, the conditional independence among local features is against the composit...

in this paper we present the problem of designing a three level hub center network. in our network, the top level consists of a complete network where a direct link is between all central hubs.  the second and third levels consist of star networks that connect the hubs to central hubs and the demand nodes to hubs and thus to central hubs, respectively. we model this problem in an incomplete net...

Dealing with uncertainty is one of the most critical problems in complicatedpattern recognition subjects. In this paper, we modify the structure of a useful UnsupervisedFuzzy Neural Network (UFNN) of Kwan and Cai, and compose a new FNN with 6 types offuzzy neurons and its associated self organizing supervised learning algorithm. Thisimproved five-layer feed forward Supervised Fuzzy Neural Netwo...

Low level features like color etc. of an image are really very important for any image retrieval system. This paper implements image classification technique using SURF descriptor and SVM classifier. SURF method which is advanced version of SIFT is used to match feature points of training and test images. SVM classifier based on the outcome of feature points then classifies images. Through the ...

The aim of the present research was to examine the relationship between Greek young people aged 12–18 and the Internet through their patterns of Internet use in the home. A particular objective of the study was the investigation of the possible effects of social stratification, gender and age on their domestic Internet use. A sample of 418 high school students selected from 17 schools in four G...

We address the problem of segmenting highly articulated video objects in a wide variety of poses. The main idea of our approach is to model the prior information of object appearance via random forests. To automatically extract an object from a video sequence, we first build a random forest based on image patches sampled from the initial template. Owing to the nature of using a randomized techn...