International Journal of Computer Techniques

1-5

Authors: - IJCT Mrs. TamilSelvi. S. Mrs. Anette Regina I.

The freedom and transparency of information flow on the Internet has heightened concerns of privacy. Given a set of data items, clustering algorithms group similar items together Knowledge extraction process poses certain problems like accessing sensitive, personal or business information. Privacy invasion occurs owing to the abuse of personal information. Hence privacy issues are challenging concern of the data miners. Privacy preservation is a complex task as it ensures the privacy of individuals without losing the accuracy of data mining results. In this paper, fuzzy based data transformation methods are proposed for privacy preserving clustering in centralized database environment. In case one, a fuzzy data transformation method is proposed and various experiments are conducted by varying the fuzzy membership functions such as Z-shaped fuzzy membership function, Triangular fuzzy membership function, Gaussian fuzzy membership function to transform the original dataset. In case two, a hybrid method is proposed as a combination of fuzzy data transformation approach specified in case one and Random Rotation Perturbation (RRP). The experimental results proved that the proposed hybrid method yields good results for all the member functions which are used in case one.

11-17

Authors: - IJCT MENG Ke, HUANGXincheng ,CHEN Shun'er, HUANG Hongbing, LIU Weiping

The mutual authentication and ownership transfer are the core issues in the protocols of Regarding RFID tag, especially those based on EPC C1G2 protocol. At present, most of the multi-owner multi-tag ownership transfer cannot be able to deal with the problem of part ownership transfer. To solve this problem, we here integrate the mutual authentication and ownership transfer of tag to propose an effective multi-owner multi-tag protocol by storing the tags related information into the server. Our protocol characters with low resource consumption and high security compared with now existed protocols.

24-29

Authors: - IJCT Fifit Alfiah, Ade Setiadi, Saepudin, Ajay Supriadi, Ihsan Maulana

This paper presents a study of image compression methods algorithm for techniques on lossy image compression. One of the major difficulties encountered in lossy image compression is how to protect image quality in a way that the compressed image remains identical to the original, different from the types of methods that exist in the lossless image that can maintain the quality of the image's authentiqly. Digital image compression is a data compression application that aims to reduce the redundancy of data so that theimage can be stored and transmitted efficiently. For compression image, the methods that are often always used is lossy compression and for this research we try to use Discrete Cosine Transform (DCT). Discrete Cosine Transform (DCT) is a technique for graphics signals into basic frequency components. Base on the result this research will be show comparison size of compressing image between grayscale image and color (RGB) image measurement of experimental results using PSNR and MSE. The better one compression scheme having a lower MSE and a high PSNR is DCT method for RGB or color image that is: peppers.bmp (MSE:0.02 and PSNR: 65.6070).

40-46

Authors: - IJCT S.D Samarasinghe, K.M.C Konara, W.G.M Sudarshani, T.D Liyanapathiranage, N. Ellepola

The integration of educational process with digital technology is a trend and may greatly enhance the teaching learning process. In current situations, kids are failing to keep a proper balancing between studies and extra-curricular activities. They feel bored when they learn with books. An android education system is the easiest and the most effective way of teaching kids in an interesting way. Games can be considered educational teaching resources, allowing the learning and fun process together. The developed project is an android based educational application which makes the teaching and learning process easier. The research group has use the prototype approach in implementing this new system and several algorithms. To successfully complete the research, the research team had to meet up with main objectives that came up with prior to implementing such as to develop an algorithm to measure the performance of the kids and to develop game levels based on logical thinking. There are many applications to teach kids mathematical and English content and also many learning technics based on covering a particular subject. But the developed project has many special features. It has many lessons, tutorials, games as well as a dictionary. And it has provide a summary of the overall performance of the kid. The “Kids EduLink” has cover not only the learning process but it also provided some fun activities that will entertain the kids.

52-58

Authors: - IJCTR.Karthikeyan ,Shanmugapriya M ,Indhu P

Wireless networking is inherently insecure. From jamming to eavesdropping, from man-in the middle to spoofing, there are a variety of attack methods that can be used against the users of wireless networks. Modern wireless data networks use a variety of cryptographic techniques such as encryption and authentication to provide barriers to such infiltrations. An overview of the advantages that wireless networks have over wired technology is then given. The paper also advances some of the major security risks that wireless networks face. It is at such security holes that the information criminals tend to attack. In this paper, we identify the various security related challenges faced by wireless protocols. This study is useful as it provides lessons for ICT managers, directors, academia and organizations, who wish to develop install or are already using wireless networks within their offices

72-79

Authors: - IJCTV. Manojna, Mr. P. Koteswara Rao, Dr. Ch. Subrahmanyam

As technology scales into the nanometer regime leakage power and noise immunity are becoming important metric of comparable importance to active power, delay and area for the analysis and design of complex arithmetic and logic circuits. In this project, low leakage 1 -bit full adder cells are proposed for mobile applications. For the most recent CMOS feature sizes (e.g., 180nm), leakage power dissipation has become an overriding concern for VLSI circuit designers. The main goal is to reduce leakage power. Therefore a new transistor resizing approach is used for 1-bit Full Adder cells. The simulation results depicts that the proposed design also leads to efficient 1-bit full adder cells in terms of standby leakage power. In order to verify the leakage power, various designs of full adder circuits are simulated using DSCH, Micro wind and Virtuoso (Cadence).

89-94

Authors: - IJCTJielongHuang , Hongqi Li ,Lianglu Yin , Yuanliang Huang

Visual background extractor (Vibe), a universal background subtraction algorithm, which has the characteristics of fast operation, high accuracy and wide application range. But there are also difficulties in eliminating the "ghost" and adapting to the light mutation, in this paper, an improved Vibe algorithm is proposed. It draws on the W4 theory and the mean value method in establishing the background model to suppress ghosts and some shadows, the new background model of Vibe was created by adding light mutation criterion to the motion detection algorithm, so that it could adapt to the light mutation rapidly, the experimental results show that the proposed method have good performance in removing interfaces as ghost shadow, when any sudden light change of circumstance occurs, the algorithm can also detect and update pixels statistical parameters adaptively

103-118

Authors: Sara Riahi , Azzeddine Riahi

We are currently facing an explosion of structured or unstructured data massively produced by different digital data sources. Firstly applications that generate data from logs, sensor networks, traces of GPS, etc., and secondly, users produce a lot of data such as photographs, videos and music. According to IBM, every hour 2.5 trillion bytes of data are generated. According to forecasts made, by 2020 this growth will be greater than 40 Zettabytes, while a Zettabyte of digital data only, were generated from 1940 to 2010. Many "inseparable" concepts currently dominate the IT field: "Cloud Computing", "Big Data", "NoSQL" or "MapReduce". Strict constraints put different researchers in the field, as for the storage and analysis of these data masses. The growth rate forecasts for the volumes of data processed exceed the limits of traditional technologies, namely relational databases or data warehouses. Our problem is how to manage the rapid growth geographically remote data volumes and how to manage this powerful scalability. What are the technologies and programming models proposed to overcome these various problems caused by this deluge of data.