International Journal of Computer Techniques

1-8

Authors: - IJCTSudarshan Badjatiya , Manisha Mhetre , Dr. Rahul Kodgule, Dr. Hemant Abhyankar.

This paper presents a new approach of breath sound analysis by recording exhalation and inhalation sounds with microphone placed in a pipe. The aim of this study is to understand the differences in inspiration and expiration signals of male and female subjects, differences in breath signals of healthy non-smokers and smoker subjects, differences in the breath signals of healthy and well controlled asthma patients. These differences were studied by comparing different signal parameters like Peak Frequency, significant frequency range, Power and the frequency at which maximum power occurs, Power Spectral Density and the frequency at which Maximum Power Spectral Density occurs. Exhalation and Inhalation sounds generated from mouth in a pipe arrangement were evaluated for testing and recorded for 45 subjects. Online microphone sound recording with developed experimental set up and computer based data analysis has been carried out according to physical parameters, the body mass index i.e. height and weight, gender, diseases and smoking habits. Frequency analysis carried out using Fast Fourier Transformation helps in extracting peak frequency and significant frequency range of the recorded sound signal. Significant difference in maximum Power Spectral Density (PSD) has been found in healthy men and women. This study discusses the possibility of modern lung examination through breath sound analysis which involves the study of exhaled air sound signal available from mouth in a pipe arrangeme

19-22

Authors: - IJCT Priya Babbar , Barjinder Singh

The main aspect of Data Mining is to divide large data sets into small datasets based upon some criterion. So far, many algorithms have been developed but they do not show uniformity in results. Some algorithms are reliable for some attributes and some for other attributes. The construction of classification trees separates these algorithms based upon their quality and scalability. This research will suggest many techniques that can be useful in improving the efficiency of the construction of classification trees (decision trees). The main problem in this approach is to identify the various resources that are required by an algorithm. To overcome this problem many mathematical models are used that studies the problem and finds the amount of resources that are required by an algorithm. These resources include time, memory storage, processor (it includes number and type of processors), buses, type of processing i.e. serial processing or parallel processing and many more. The objective of this study is to find the best investment scheme by using optimized algorithm. This algorithm tries to reduce the errors made by the predictive models.

34-42

Authors: - IJCT Pasupuleti Nagendra Babu , Prof.S.Rama Kirshna

Today the main crucial task is one of the most important concept is to store and preserve the data in a safest place and retrieving the data in a efficient and intelligent method even then today we are seeing the information technology is drastic growth at the same time there is not having security for data. Making some changes in security point of issue this research revises the most important aspects in how computing infrastructures should be configured and intelligently managed to fulfill the most notably security aspects required by Big Data applications. One of them is privacy. It is a pertinent aspect to be addressed because users share more and more personal data and content through their devices and computers to social networks and public clouds. So, a secure framework to social networks is a very hot topic research. This last topic is addressed in one of the two sections of the current topic with case studies. In addition, the traditional mechanisms to support security such as firewalls and demilitarized zones are not suitable to be applied in computing systems to support Big Data. SDN is an emergent management solution that could become a convenient mechanism to implement security in Big Data systems, as we show through a second case study at the end of the topic. This also discusses current relevant work and identifies open issues

50-56

Authors: - IJCT S.Sujith , E.Dilipkumar

Multimedia data has become a major data type in the Big Data era. The explosive volume of such data and the increasing real-time requirement to retrieve useful information from it have put significant pressure in processing such data in a timely fashion. Secret Word is an attempt by an individual or a group to thieve personal confidential information such as passwords for identity theft, financial gain and other fraudulent activities. In this paper we have proposed a new approach named as "GRAPHICAL CODE WORD-AUTHENTICATION USING NET Graphical Password (CaRP). Herein, we propose generating CAPTCHAs through random field simulation and give a novel, effective and efficient algorithm to do so. This results in a CAPTCHA, which is unrecognizable to modern optical character recognition but is recognized about 95% of the time in a human readability study.

62-66

Authors: - IJCT Rita Hassoun , Aws Khadour ,Ghadir Madi

Lately, many researchers have focused on improving communication systems in Wireless Sensor Networks WSNs. However, energy consumption was the most important factor to be decreased to make the network much efficient. Therefore, many techniques have been studied in this field such as Cooperative Multi-input-Multi-output MIMO. In this paper, we have suggested a new transmission technique to minimize the power consumption in WSN, considering a Cooperative MIMO at the transmission side and a Data Gathering Node DGN in the reception side by the use of well-known Internet Of Things IOT environment. Various models of prior well-known techniques have been compared with our proposed scenario

73-78

Authors: - IJCTJiazong Yu

Star recognition is the fundamental guarantee of star sensor working, it is also an important part of astronomical navigation. This paper summarizes the existing star recognition algorithm, and analyzes the advantages and disadvantages of each kind of algorithm.

79-83

Authors: - IJCTR.Sujatha , Dr.P.Srivaramangai

MANET is one of the promising area in research and development. A MANET is a self configuring infrastructure with less wireless network. Each node is having ability to form a network by finding the suitable node to communicate for transferring data through radio waves. A mobile communication demands cooperation between the nodes. The selfish behaviour of intermediate nodes during packet transmission will lead to the negative impact. Behaviour of a node plays an important role. This paper analysis different security issues, trust mechanisms and proposes a trust evaluation security solution

89-92

Authors: - IJCT Sulis Sandiwarno

Information Technology today has evolved in human life. Utilization information technology helps people in adapted for using system. For this study information technology has impact in learning process. Inside learning process need concept feedback between lecturer and students. Lecturer and student should could interaction and lecturer should give student motivation and help student solved the problems. The problem in this study is which one the better discussion learning face to face or online discussion. In this study propose to compare discussion learning face to face and online discussion. Using TAM (Technology Acceptance Model) and UML (Unified Modeling Language) as method in this study. The results in this study is online discussion has given good impact for interacting between lecturer and students