This paper discusses a few geometric models that have been of great utility in the modern technologically dominated society. Under the setting of topological manifolds the mathematical concepts underlying computer graphics have been explored. Other applications of the theory of manifolds in computer science and communication technology namely in codes, ciphers and networks are described. Using the concept of triangulations and homology we describe a discrete model concerning the networked environment.

Energy is consumed in MANET during the transmission and reception of data, propagation of control packets, retransmission and overhearing. We concentrate in reducing the energy consumption during the transmission and reception of data. Each node in MANET transmits data with the maximum energy regardless of the distance between the nodes. Also the mobile nodes expend some energy in transmission and reception of data. We have utilized the metrics received signal strength, link quality and the distance between the nodes to compute the energy required to transmit the data from a node to its neighboring node. The energy computed is involved in the selection of the optimal path which requires minimum energy to route the data from source to destination.Nodes within an ad hoc network generally rely on batteries (or exhaustive energy sources) for energy. Since these energy sources have a limited lifetime, power availability is one of the most important constraints for the operation of the ad hoc network.

Static Scheduling is the mapping of a program to the resources of a parallel system in order to minimize the execution time. This paper presents static scheduling algorithms that schedule an edge-weighted directed acyclic graph (DAG) to a set of homogeneous processors. The aim is to evaluate and compare the performance of different algorithms and select the best algorithm amongst them. Various BNP algorithms are analyzed and classified into four groups - Highest Level First Estimated Time (HLFET), Dynamic Level Scheduling (DLS), Modified Critical Path (MCP) and Earliest Time First (ETF). Based upon their performance considering various factors, best algorithm is determined.

In this paper fuzzy based canny edge detection is explained. Global contrast intensification and local fuzzy edge detection are the two phases explained and is then merged with Canny operator for better results specially for noisy images and low contrast images. The resultant images are obtained using MATLAB which is the most convenient software and is efficient in terms of Image Processing as it is one of its toolbox. Although first-order linear filters constitute the algorithms most widely applied to edge detection in digital images but they don’t allow good results to be obtained where the contrast varies a lot, due to non-uniform lighting, as it happens during acquisition of most part of natural images.

Social media like Facebook today are not only just a website. They are now become much popular communication tool for internet users. It is a medium through which users belonging to any of category, profession can make their comments. These all comments have contained some features along with it. These comments or status are really useful which are actually viewed as their ‘OPINIONS’. Opinions are really important while we need to analyze any of product, topic, discussion and whatever which will require some user opinions to draw some inferences and conclusions from them. Social media plays an important role for this intention. In this paper we focused on facebook statuses, which we can view as opinions of users or their reaction on concern we want to analyze. We develop tool status puller that automatically collects random facebook statuses. Then we make classifier that performs classifications on that corpus collected from facebook. Our classifier is able to extract three features GOOD, BAD and AVERGAE from that statuses respectively. As per classifier results we perform evaluations experiments which further can be work for feature mining of user opinions on facebook. It’s pure new and unique technique proposed in the field of opinion mining.

A company should have a strong commitment in their PKBL implementation program. Results from several empirical studies concluded: companies that successfully implemented their PKBL programs tend to gain impacts for their financial and non-financial performance. Even though, there are still several companies that face hardships in implementing their PKBL programs. One of the main causes is the non-existence of data information system as the foundation for PKBL strategic planning. The aim of this study is to describe the mapping of funds allocation and PKBL program based on seven criteria: company reputation, conflict potency, income contribution, manpower absorption, business opportunity, region economy growth, and even distribution. The research type is census by case study in one BUMN (stated owned enterprise) in Indonesia. Research sample is 60 people consist of manager and PKBL executor. Statistic techniques used Analitycal Hierarchy Process (AHP). The result shows that seven criteria can be used as the foundation for the even distribution of funds allocation and PKBL program. This result supports the research conducted by Branco and Rodrigues (2006), Cerin (2002); Fombrun & Shanley (1990), Juholin (2005); Silberhorn & Warren (2007), and Choi et al. (1993).

In this paper, we make an application of an integral involving sine function, exponential function, the product of Kamp´e de F´eriet functions and the I-function to evaluate three fourier series. We also evaluate a multiple integral involving the Ifunction to make its application to derive a multiple exponential Fourier series. Some known and interesting particular cases are also given at the end.

Now-a-days Global economy depends on the supply of energy and proper use of it. Energy is very compelling and critical issues all over the world. But the price of energy especially oil is increasing day by day. It is an obvious duty for all government throughout the world that estimation of cost of Oil for future development. The main purpose of this research is to develop a dynamic future and instant oil price prediction model for Business organization, Ministry of Finance, Ministry of Economic, Oil Company, Think Tank of the Government, Prime-Minister, World Bank Policy Maker, International Monetary Fund (IMF) etc. In this work, we first apply chi square test to separate factors such as demand of Oil and Gas, over population, Increasing rate Industry, completion of Development and etc. We then make a automate comparison of the production and export rate of the Oil and Gas in various countries among Middle East and Europe. The main purpose of applying it is feature selection to data. Degree of freedom is used to P-value (Probability value) for best predicators of dependent variable. After being separation of factors we have had examined the desired outcome using Bayes’ Networks (BN). The BN helps to determine the actual result based on our input factors. We should bear in mind that our activities for this work are dynamic and our system can inspect dynamically irrespective of any volume of dataset.

This contrastive study is geared towards investigating the euphemistic language of death in Egyptian Arabic and Chinese. The results indicate that euphemisms are universal since they exist in every language and no human communication is without euphemisms. Both Egyptian and Chinese native speakers regard the topic of death as a taboo. Therefore, they handle it with care. Egyptian Arabic and Chinese employ euphemistic expressions to avoid mentioning the topic of death. However, Chinese has a large number of death euphemisms as compared with the Egyptian Arabic ones. The results also show that death euphemisms are structurally and basically employed in both Egyptian Arabic and Chinese in metonymy as a linguistic device and a figure of speech. Moreover, they employ conceptual metaphor to substitute the taboo topic of death.

The aim of the present paper is to discuss a number of interesting classes of Eulerian integrals and the theorem based upon the fractional calculus associated with general class of polynomials given by Srivastava [4, P.1, Eq.(1)], generalized polynomials given by Srivastava [8, P.185, Eq.(7)] and the multivariable H-function given by Srivastava and Panda [13, P.271, eq.(4.1)]. The results derived here are of a very general nature and hence encompass several cases of interest hitherto scattered in the literature.