Physical Sciences and Engineering

Underground pipeline systems need incredible maintenance. Due to tarnishing and mechanical stresses catastrophic defects are caused. These buried infrastructures need to be handled with the utmost care. Detecting cracks is very important as it causes great forfeiture of time and human efforts. Also, if these defects are not detected accurately it may cause a loss of the contents flowing through the pipelines. Detection of defects in underground systems is a fairly convoluted process. Currently it is done through a very manual procedure.

A Bug Tracking System defines a streamlined process for bug reporting, bug assignment, status, severity, duplicity and priority. Bug tracking is a system which is used to keep a track of any type of bugs in any software. It helps the software developers to know what the error is so that they can resolve it and learn from it. This can be easily done by using various Bug Tracking Systems. Working on a software project includes the management of bugs we find. At first, we might list them on a spreadsheet.

Pangasinan State University, as one of the academic institutions in the country has critical roles to play in countryside development. This is consistent with the university mission which states that “The Pangasinan State University through instruction, research, extension and production, commits to develop highly principled, morally upright, innovative and competent individuals capable of meeting the needs of industry, public sector and civil society.

This work aims to propose a solution to the problem of sequencing machine-independent and sequence-dependent parallel machines. The goal is to minimize the weighted sum of delays in performing such tasks. It is proposed the development of algorithms for problem solving based on the principles of GRASP, Simulated Annealing and Iterated Local Search

The prime and unique decomposition of prime number in every branches of mathematics (such as number theory, algebra, function theory, etc.) also plays a very important role, all natural science is also often require tools of elementary number theory. In this article, we collected a large amount of data, and further analysis and research these data, and show that some new description for prime numbers and the prime decomposition.

The purposes of the study were to examine technical university students’ tourism English vocabulary learning achievement and motivation. The subjects were118 studentsfrom a technical university in southern Taiwan. The instruments consisted of one questionnaire called TARGETT questionnaire with seven factors about learning motivation on tourism English vocabulary and one English test called Professional Vocabulary Quotient Credential (PVQC) on tourism.

The manifestations of the signs of ineffectiveness of most residential plots in terms of environmental aesthetics are due to the problems of design, planning, regulatory and administrative frame work within which physical development takes place. The research aims at assessing landscaping and management issues in open spaces within approved setbacks of residential buildings in Satellite town, Lagos Nigeria using Low Impact development approach, with a view of improving the environmental aesthetics and sustenance of the residential plot.

High capacity, High quality, speed, performance, low complexities are the target of future generation technology. In this paper we are trying to improve performance of wireless cellular technology in the two crucial aspects path loss and processing time which are very important in evaluation of wireless communication system. In this article first we focus on path loss because it helps in determining the coverage area of network. Second we emphasis processing time which is an important parameter in implementing a cellular system.

Biological field of research have as of now delivered huge measures of important biological information that is trying to examine because of its high dimensionality and complexity. With this huge amount of data there are several problems during classification of data such as: noisy instances, over fitting as well as class imbalance. This will influence accuracy as well as the efficiency of supervised learning techniques.

In this paper, we study stochastic orders that compare the variability or the dispersion of fuzzy random variable. The most important and common order that has studied in this paper are the convex and the dispersive order. We also study in this paper the excess wealth order which is found to be useful in the increasing order of application. Various related order are also examined in the paper.