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

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Engineering and Technology

Ijett

Automatic Detection Of Age Related Macular Degeneration Using Retinal Colour Images

As the feature of delay tolerant networks (DTNs) is open, and intermittent, any node can participate in this type of network. Trusting a DTN node becomes a critical task for the routing algorithms. For the past few years, security techniques have evolved and a lot of research has been carried out in this area. Among these security techniques, trust-based, reputation-based systems, and incentive-based security schemes are discussed in this paper. These techniques are useful to detect selfish DTN nodes and noncooperative DTN nodes. These schemes for DTN nodes are the most common methods to detect malicious, selfish DTN nodes. © Springer Science+Business Media Singapore 2017.

Advances in Intelligent Systems and Computing

Analyzing security schemes in delay tolerant networks

Now a days wireless sensors are attracting strong interest for different monitoring and controlling applications as they are integrated with the function of sensing, processing and wireless communication. The wireless sensor networks have been deployed for agricultural, industrial, remote monitoring and traffic management purposes. As energy shortage is a worldwide problem so that more attention has been placed on incorporating energy harvesting devices in wireless sensor networks. The main purpose of this paper is to focus on the systematic study of the design principles of wireless sensor networks and to provide technical approaches to address three key challenges in designing of reliable and endurable wireless sensor networks. The key challenges are namely communication reliability, operation with significantly low and effective power sources and multi-tier network architecture. © 2017 IEEE.

2017 4th International Conference on Advanced Computing and Communication Systems, ICACCS 2017

Challenges, protocols and case studies in design of reliable energy efficient wireless sensor networks

ECG Signal Analysis and Prediction of heart attack with the help of optimized neural network using Genetic Algorithm

Stress is a state of mental or emotional strain or tension resulting from adverse or demanding circumstances. The person’s stress should be measured daily so that the person can come to know about his stress statistics day by day. And will take appropriate measures to reduce it. In this paper, points discussed are efficient ways to analyze stress using Neurosky Sensor and also to examine data from smart phones in order measure stress of an individual.

International Journal of Computer Engineering and Applications

STRESS DATA ANALYSIS

Identity and Access Management is important in today’s evolving world. It is the process of managing who has access to what information over time. Activity of IAM involves creation of identities for user and system. Secure user access plays a key role in the exchange of data and information. In addition, electronic data is becoming ever more valuable for most companies. Access protection must therefore meet increasingly strict requirements – an issue that is often solved by introducing strong authentication. Identity and the Access are two very important concept of the IAM which are needed to be managed by the company. Companies are now relying more on the automated tool which can manage all these things. But then it creates the risk. Because tools are not intelligent enough to take the decisions, so we can add the intelligence by using the various data mining algorithm. This can keep the data over time and then build the models. This paper covers all the challenges associated with the Identity and Access Management. The possible solution is given for these challenges.

International Journal of Latest Trends in Engineering and Technology

Identity and access management: concept, challenges, solutions

Nadi-parikshan, is an important Wrist Pulse based method of diagnosis in the traditional and effective medical system of Ayurveda. Wrist Pulse signals contain some crucial information about the health of a person and hence diagnosis based on Pulse signals has importance. According to the Ayurvedic science, our mind-body constitution or dosha is determined at the time of conception. Thus, we are each born with a distinct combination of the Vatta, Pitta, and Kapha doshas that remains as it is throughout your life. This is known as Prakruti. The balance of all these doshas and the Prakruti play a vital role in the social life. The paper proposes a framework to predict the Pulse after performing Surya Namaskar for people of different Prakruti at different Prahars (Morning, Afternoon or Evening). The identification of Prakruti of a person will be done using a questionnaire. Recording of the Wrist Pulse signals before and after performing Surya Namaskar at different times of the day or Prahar (Morning, Afternoon and Evening) form the dataset. The variations occurring in the Pulse signals shall be determined by processing the signals and these changes will be used as knowledge for our Machine Learning algorithm. This will be further used to predict the Pulse after performing Surya Namaskar and determining its effect on our daily life cycle. © 2017 IEEE.

2017 International Conference on Big Data Analytics and Computational Intelligence (ICBDAC)

A proposed framework for prediction of pulse, based on the effect of surya namaskar on different prakruti at different prahars of the day

Now a day, the mass events like political rallies, musical concerts, sports matches, school gathering and pilgrimage become an issue of the public security. So, Management of crowd at public places becomes a big issue. Crowd congestion prevents the smooth flow of the crowd and causes the unsafe condition; thereby causing many people lost their life. So, it is important to overcome such situation to provide the safety on time. It can be achieved by using the video monitoring device footage along with optical flow and standard deviation model to detect the crowd congestion and providing warning for managing the crowd. Higher the congestion level higher is the risk of life and occurrences of uncertainty. Based on the level of congestion and movement it is possible to predict the future flow of crowd in that direction. © 2016 IEEE.

International Conference on Automatic Control and Dynamic Optimization Techniques, ICACDOT 2016

Motion detection using optical flow and standard deviation

The development and urbanization occurred in past decades led to the concept of smart cities. These smart cities consist of various high-risk locations, so there is a need of smart authentication technique which is more reliable and secured. We proposed smart security framework with the integration of enhanced existing technologies. This authentication framework provides security for the high-risk location, such as government office buildings, airport, military bases, and space stations. The area consists of various Wi-fi access points creating the geo-fence. As soon as the person enters into the geo-fence with his smartphone, biometric authentication is carried out using smartphone and accordingly the person is allowed to enter inside the geo-fence. At the same time, Wi-fi positioning system locates the path of person in the geo-fence. Biometric authentication uses the local binary pattern matching algorithm having accuracy of 80 %. The location of the person inside the geo-fence is tracked with the help of Trilateration method. The Wi-fi positioning system based on Trilateration method finds the location of the person with an error rate of 5 m, which is relatively very lower than the Global Positioning System. This wireless authentication framework provides the better solution for security of smart cities which in turn will be beneficial for maintaining the peaceful and healthy social relations. © Springer Science+Business Media Singapore 2016.

Advances in Computing Applications

A smart security framework for high-risk locations using wireless authentication by smartphone

The efforts are made to extract the most relevant results while searching for the specific query in huge web storage available in the WWW. Majority of the Web pages are written in such a way that the crawler finds it difficult to extract any specific domain. The concept of ontology is used to find domain specific results. The purpose of this work is to design a crawler which crawls through the domain specific web pages in the web according to the stated ontologies. To minimize the bias on accessing the highly relevant web links in a deep web, we are proposing an intelligent crawling mechanism. The intelligent crawler makes use of effective page ranking algorithm which leads the user to the most relevant results in a specific domain. The proposed Internet of Things (IoT) service will incorporate this mechanism to an effective extent. © Springer Science+Business Media Singapore 2017.