Abstract:HealthCare has been a surging need in India. The inception of Smart India, Smart Villages has further emphasized the need of a Smart & Healthy India. However little reflection of such digitally empowered country has been seen in the field of healthcare. This has further increased the importance of the definition of ubiquity of information and computing technology in healthcare that demand constant surveillance and vigilance of healthcare to predict epidemic outbreak and biological attack. The paper’s primary focus is to analyze and determine the spread of diseases and epidemic in cities/villages. And using this analysis to predict where the next outbreak of epidemic will be. This prediction helps the health authorities to take necessary action in terms of assuring that sufficient resources are available to suffice the need and if possible stop the occurrence of such epidemic by taking necessary actions. To achieve this, we use deep neural network as the heart of our prediction. It receives its training from the past experiences of data which we have collected from hospitals and our spread network. Using this training with our dynamic data it makes predictions as well as adaptively learns from the real time data.

Keywords:epidemic prediction, deep learning, recurrent neural network, machine learning, disease spread network

Abstract:Image segmentation is a process of partitioning a digital image into N regions. In today’s world, Brain tumor detection using image segmentation is fundamental but challenging problem in field of computer vision and image processing due to the diverse image content, image noise, non-uniform object texture and other factors. Accurate detection of size and location of brain tumor plays a vital role in the diagnosis of brain tumor. There are many image segmentation methods available for medical image analysis but the Region based and Clustering techniques are efficient, fast and accurate. This paper presents the two efficient image segmentation algorithms i.e. K-means and region growing techniques for brain MRI images and compare the two algorithms and determine the best one.

Keywords:MRI,Image Segmentation,K-Means,Region growing

Abstract:Agriculture has become much more than simply a means to feed ever growing populations. It is very important where in more than 70% population depends on agriculture in India. That means it feeds great number of people. The plant diseases affect the humans directly or indirectly by health and also economically. Identification of the plant diseases is a very vital process to avoid the losses in both quality and quantity of leafs in agricultural production system. This Project deals with digital image processing techniques for detection, processing and identification of plant diseases. Diseases can affect at any part of plant especially in leaf. This Project includes only those methods to identify disease in leaves. Disease symptoms will be visible on leaves. It is very tough job to monitor the plant diseases manually. Manual plant disease monitoring system needs more processing time and expertise in the plant disease. So a fast, automatic and accurate approach to identify the plant diseases is needed. Hence, image processing techniques are used for the detection, processing and identification of plant diseases because these techniques are fast, automatic and accurate. Traditional method of checking diseases in plants is through visualization but this method is not so relevant in detecting the diseases associated with plants. So we can provide a better alternative, fast and accurate detection by using image processing techniques which can be more reliable than some other old methods

Keywords:plant, disease, SVM, image processing, clustering, segmentation

Abstract:The problem with Cyber security is continuously evolving nature of security threats. The traditional approach focused on high demand resources ignoring less important components at dangerous risks. Such an approach is insufficient in current environment and biggest example of this is WannaCry Ransomware attacks. This article highlights different characteristics of security threats. The globe has experienced a Ransomware cyber-attack “WannaCry” that has infected thousand computers worldwide. WannaCry has ability to spread through network by exploiting a critical vulnerability. This article also highlights preventive steps against the attack. Finally a formula is discussed to enhance Network Security.

Keywords:

Abstract:This paper is in reference with our previous paper entitled “Protection of Key in Private Key Cryptography” published by “International Journal of Advanced Research” in Feb 2017 edition... In this paper we have tried to devise an algorithm that would protect the key in transmission, as in the era of digitization, threats to information security instigate the concerned people to take proactive measures for communication between two communicating parties. Since our major focus is on the symmetric key cryptography, also called as private key cryptography, we have studied different techniques of securing a private key or shared key or secret key that are used to shield information in such systems. The different statistical data being published so far and recent phishing scam which plays with the information transfer by taking away the user’s identity highlights the need to make our security measures strong enough to counter such unwanted accesses. After looking into the functioning of widely accepted protocols and thinking of introducing a few changes to enhance their functionality, we here, are going to focus mainly on application of asymmetric key cryptographic algorithm named RSA algorithm. We have already referred to suggestions by means of several research papers being published so far related to our area of interest such as N-Prime RSA, magic rectangle, etc. We have tried to present a method taking one step ahead in the available sketch and without diminishing the basic essence of the algorithm. We also refer to some examples and its application as thought of in its modified form to further support our idea.

Keywords:Cryptography, Key, Private Key, Public key, Asymmetric or Public Key Cryptography, Symmetric or Private Key Cryptography