MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

School of Computer Engineering & Technology

With the development of Internet technologies, digital media can be transmitted conveniently over the Internet. However, medical information transmissions over the Internet still have to face all kinds of problem such as network bandwidth, integrity of data, image quality and security. Normally Medical images are in DICOM (Digital Imagine in Communication and Medicine) format. The DICOM technology is suitable when sending images between different departments within hospitals or/and other hospitals, and consultant. However, the header file to DICOM image adds additional size to the image. We have proposed new techniques of transforming DICOM format in to BMP(Bitmap Image file) format and divide data into two parts and embedding a patient data in an image in odd, number memory location of image pixel values. Fix length Huffman compression is applied to get lossless compressed image. This investigation mainly focuses on computing the data hiding capacity, Compression Ratio, Mean Square Error (MSE) and Peak to Signal Noise Ratio (PSNR) of medical images. © 2015 IEEE.

World University root node

Engineering and Technology

2015 International Conference on Pervasive Computing: Advance Communication Technology and Application for Society, ICPC 2015

DICOM image size reduction and data embedding using randomization technique

Cloud computing platform relies on principle of sharing of resources. VMware products and OpenStack are the cloud platforms being used extensively in the industry. Of which OpenStack is the new competitor, which provides support for hybrid cloud environment. We compare features of VMware products and OpenStack in this paper. Resources in cloud include computing resources, storage and network. These resources should be allocated and scheduled in a way that user should get the better performance as well as provider should achieve high resource utilizations. In this paper, we describe VMware Distribute Resource Scheduler and OpenStack nova-scheduler. © 2014 IEEE.

2014 International Conference on Advances in Electronics, Computers and Communications, ICAECC 2014

Comparing openstack and VMware

In recent days, skin cancer is seen as one of the most Hazardous form of the Cancers found in Humans. Skin cancer is found in various types such as Melanoma, Basal and Squamous cell Carcinoma among which Melanoma is the most unpredictable. The detection of Melanoma cancer in early stage can be helpful to cure it. Computer vision can play important role in Medical Image Diagnosis and it has been proved by many existing systems. In this paper, we present a computer aided method for the detection of Melanoma Skin Cancer using Image Processing tools. The input to the system is the skin lesion image and then by applying novel image processing techniques, it analyses it to conclude about the presence of skin cancer. The Lesion Image analysis tools checks for the various Melanoma parameters Like Asymmetry, Border, Colour, Diameter,(ABCD) etc. by texture, size and shape analysis for image segmentation and feature stages. The extracted feature parameters are used to classify the image as Normal skin and Melanoma cancer lesion. © 2015 The Authors.

Fulltext

Procedia Computer Science

Computer aided Melanoma skin cancer detection using Image Processing

International Journal of Advance Research in Computer Science and Management {\ldots}

An Approach to Cryptography using Nonlinear System of Equation

The concept changes in continuously evolving data streams are termed as concept drifts. It is required to address the problems caused due to concept drift and adapt according to the concept changes. This can be achieved by designing supervised or unsupervised techniques in such a way, that concept changes are considered, and useful knowledge is extracted. This paper discusses various techniques to manage concept drifts. The synthetic and real datasets with different concept drifts and the applications are discussed.

IOSR Journal Computer Engineering

A review on concept drift

Image inpainting is an interesting new research topic in image processing, which can be used in many thrust areas, such as computer graphics, image editing, film postproduction, image restoration and special effects and the restoration of old Photographs and damaged film, removal of superimposed text like dates, subtitles, or publicity and the removal of entire objects from the image. In image inpainting, missing (target) regions were filled by structural and textural information of an image in a visually plausible way, also known as image restoration. Though this technique is very useful, it is still a challenging problem in computer vision and computer graphics. In this paper, an algorithm is proposed for removing target objects from digital images. An algorithm was proposed to synthesize the structure & texture as well as fill the hole that is left behind in an undetectable form. An attempt has been made to compute actual color values using exemplar based texture synthesis and region filling method. A number of examples on removing occluding objects from real and satellite images demonstrate the effectiveness of proposed algorithm in terms of both inpainting quality and computational efficacy.

Proceedings - 2014 IEEE International Conference on Advances in Communication and Computing Technologies, ICACACT 2014

Image inpainting on satellite image using texture synthesis &amp; region filling algorithm

International Journal of Computer Science \& Network

Prediction of Stock Market Shift using Sentiment Analysis of Twitter feeds, Clustering and Ranking

Cloud providers offer computing resources to their customers using either the reservation or on-demand plan. However, reservation plan is cheaper than the on-demand plan since the cost of utilizing the resources is low. Cloud providers provision their resources into virtual machine which are then allocated to the users as per the request for a specific period of time. The problem that arises is related with the efficient management and utilization of the available computing resources. The existing system does not take into account of the user's demand while making provisioning decisions. The proposed scheduler is based on time based scheduling with the main objective of utilizing the idle resources leading to the maximum utilization of the physical resources and with minimum overlapping in the task defined by the user. On the contrary, the implementation of the Time based Scheduler will lead to the increase in CPU utilization and memory consumption. So, the paper also includes a comparative study of the CPU utilization and Memory consumption with different techniques for implementing the scheduler. © 2014 IEEE.

Proceedings - 2014 IEEE Global Conference on Wireless Computing and Networking, GCWCN 2014

Efficient time based scheduler for implementing reservation plan in cloud

As data is growing rapidly day by day due to wide usage of social media, this social data will help business analyst as well as researchers to get the feedback about any service or product. Analysis of social media data can be used for many purposes like friend recommendation, product or service recommendation etc. There is need of such algorithms which will classify data accurately and will provide analysis results accurately. Also these algorithms need to scale rapidly with data sets. In this paper, Different phases of social media data mining are identified. We have studied algorithms whose training time remains same though the data size increases. We have implemented decision tree algorithm and compared it with other machine learning algorithms like NaiveBayes, Adaboost etc. It is found that decision tree algorithms gives accurate results as compared to other algorithms. In addition to that, out of different decision tree algorithms random decision tree (RDT) algorithm performs best than other decision tree algorithms like C4.5 or ID3. © 2015 IEEE.

Efficient regression algorithms for classification of social media data

Reliability-based design optimization (RBDO) is an important area in structural optimization. A principal step of the RBDO process is to solve a reliability analysis problem. This problem has been considered in inner loop of double-loop RBDO approaches. Although many algorithms have been developed for solving this problem, there are still some challenges. Existing algorithms do not have good convergence rates and often diverge. There is a need to develop more efficient and stable algorithms that can be used for evaluating all performance functions sufficiently. In this paper, a new method, called “Conjugate Gradient Analysis (CGA) Method”, is proposed to apply in the reliability analysis problems. This method is based on the conjugate gradient method. Some mathematical problems are provided in order to demonstrate the advantages of the proposed method compared with the existing methods. © 2014, Springer-Verlag Berlin Heidelberg.