In this paper, we empirically demonstrate what we call the domain restriction hypothesis, claiming that semantically related terms extracted from a corpus tend to be semantically coherent. We apply this hypothesis to define a post-processing module for the output of Espresso, a state of the art relation extraction system, showing that irrelevant and erroneous relations can be filtered out by ou...

in this paper, we introduce the notion of an action $y_x$as a generalization of the notion of a module,and the notion of a norm $vt: y_xto f$, where $f$ is a field and $vartriangle(xy)vartriangle(y') =$ $ vartriangle(y)vartriangle(xy')$ as well as the notion of fuzzy norm, where $vt: y_xto [0, 1]subseteq {bf r}$, with $bf r$  the set of all real numbers. a great many standard mappings on algebr...

Abstract We report measurements of the flux-integrated ν̅μ and + νμ charged-current cross-sections on water hydrocarbon targets using T2K anti-neutrino beam with a mean energy 0.86 GeV. The signal is defined as (anti-)neutrino interaction one induced $\mu^\pm$ no detected charged pion or proton. These are performed new WAGASCI module recently added to setup in combination INGRID Proton Module. p...

Now-a-days, there is rise in the death rate of patients suffering from liver cancer. The liver cancer rate is increasing year by year. Generally, liver cancer’s death rate is very high because the disease causes no symptoms, so it’s often not caught until it's in final stages. The Canadian Cancer Society says, if we catch someone's liver cancer early, their chance of defeating the disease is 70...

This paper presents the results of a new approach for binarization of text images. The new technique uses the fuzzy C-means clustering algorithm to simulate the clustering performed by the human visual system. The clustering process was applied to eleven text images. All of them have black text but the background change in color. As a mean of comparison, binarization using the image histogram w...

short-term prediction of traffic flow is central to alleviating congestion and controlling the negative impacts of environmental pollution resulting from vehicle emissions on both inter- and intra-urban highways. the strong need to monitor and control congestion time and costs for metropolis in developing countries has therefore motivated the current study. this paper establishes the applicatio...

We previously proposed evolutionary fuzzy systems of playing Ms.PacMan for the competitions. As a consequence of the evolution, reflective action rules such that PacMan tries to eat pills effectively until ghosts come close to PacMan are acquired. Such rules works well. However, sometimes it is too reflective so that PacMan go toward ghosts by herself in longer corridors. In this paper, a criti...

This paper describes a method of Automatic Arabic Character Recognition (ACR). This system is articulated around four distinct modules which are the main image processing given by: a module of treatment, a module of segmentation, a module of recognition and a module of detection of symbols of classification. For classification; we have used Fuzzy Logic (FL), Genetic Algorithm (GA), and Expert S...

-This paper discusses a new model towards reliability and quality improvement of software systems by predicting fault-prone module before testing. Model utilizes the classification capability of data mining techniques and knowledge stored in software metrics to classify the software module as fault-prone or not fault-prone. A decision tree is constructed using ID3 algorithm for existing project...