Melbourne Polytechnic

About: Melbourne Polytechnic is a based out in . It is known for research contribution in the topics: Wireless sensor network & Computer science. The organization has 184 authors who have published 121 publications receiving 570 citations. The organization is also known as: Northern Melbourne Institute of TAFE & NMIT.

Analysis of agriculture data using data mining techniques: application of big data

Abstract: In agriculture sector where farmers and agribusinesses have to make innumerable decisions every day and intricate complexities involves the various factors influencing them. An essential issue for agricultural planning intention is the accurate yield estimation for the numerous crops involved in the planning. Data mining techniques are necessary approach for accomplishing practical and effective solutions for this problem. Agriculture has been an obvious target for big data. Environmental conditions, variability in soil, input levels, combinations and commodity prices have made it all the more relevant for farmers to use information and get help to make critical farming decisions. This paper focuses on the analysis of the agriculture data and finding optimal parameters to maximize the crop production using data mining techniques like PAM, CLARA, DBSCAN and Multiple Linear Regression. Mining the large amount of existing crop, soil and climatic data, and analysing new, non-experimental data optimizes the production and makes agriculture more resilient to climatic change.

Video Watermarking by Adjusting the Pixel Values and Using Scene Change Detection

Abstract: Digital video is one of the popular multimedia data exchanged in the internet. Due to its perfectly replicable nature many illegal copies of the original video can be made. Methods are needed to protect copyrights of the owner and prevent illegal copying. A video can also undergo several intentional attacks like frame dropping, averaging, cropping and median filtering and unintentional attacks like addition of noise and compression which can compromise copyright information, thereby denying the authentication. In this paper, the design and implementation of scene based watermarking where extraction will be a blind method, is proposed. The developed method embeds 8 bit-plane images, obtained from single gray scale watermark image, into different scenes of a video sequence. In this algorithm, some of the luminous values in the video pictures are selected and divided into groups, and the watermark bits are embedded by adjusting the relative relationship of the member in each group. A sufficient number of watermark bits will be embedded into the video pictures without causing noticeable distortion. The watermark will be correctly retrieved at the extraction stage, even after various types of video manipulation and other signal processing attacks.