Maharashtra Academy of Engineering & Educational Research (MAEER'S)
Maharashtra Institute of Technology, Pune
University Id No.: PU/PN/Engg./047/(1983) Approved By AICTE, DTE . DTE Admission code 6151  
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Information Technology - Research Project
(Department of Information Technology under MITPUNE is now MIT-WPU School of Information Technology)

 
 

Sajeeda Shikalgar, Dr. Debajyoti Mukhopadhyay, Priti Chakurkar
An Internet of Things (IOT) based Monitoring System for Efficient Milk Distribution
Milk spoilage is an indefinite term and difficult to measure with accuracy. The ideal pH value of milk is 6.7 and higher or lower pH values degrade the quality of milk. This milk is then taken to the warehouse for processing. Our proposed milk distribution monitoring system targets the cold chain maintenance and milk spoilage avoidance. The proposed system is based on currently evolving technology i.e. Internet of Things (IOT). In our IOT based system, we have two types of sensors, pH sensor and cooling sensor.
Received Research Grant Rs. 81,000/- from University research grant scheme of B.C.U.D, Savitribai Phule Pune University for 2 years

Sheetal Girase, Dr. Debajyoti Mukhopadhyay, Varsha Powar
Recommendation System using Hybrid Approach in Ubiquitous Environment
In today’s scenario traditional way of shopping has moved to internet. People don’t have time and patience to travel and spend long hours in shopping complexes so the business has come inside house on our mobile, laptops and tablets.
The Internet has changed the way transactions are performed by consumers and businesses. Today, in the world of internet, e-commerce is the key for business expansion. Recommender Systems play a very important role in Ecommerce ecosystem. Recommender Systems are software tools and techniques providing suggestions for items to be of use to a user. The suggestions provided are aimed at supporting their users in various decision-making processes, such as what items to buy, what music to listen.  Recommender systems play an important role in highly rated Internet sites such as Amazon.com, YouTube, Netflix, Yahoo, Tripadvisor, Last.fm, and IMDb. Moreover many media companies are now developing and deploying RSs as part of the services they provide to their subscribers. For example Netflix, the online movie rental service, and awarded a million dollar prize to the team that first succeeded in improving substantially the performance of its recommender system.
Received Research Grant Rs. 60,000/- from University research grant scheme of B.C.U.D, Savitribai Phule Pune University for 2 years

Sheetal Vij, Dr. Debajyoti Mukhopadhyay
An Automated Negotiation Protocol Design with Prediction
With the proliferation of web technologies it becomes more and more important to make the traditional negotiation pricing mechanism automated and intelligent. The behavior of software agents which negotiate on behalf of humans is determined by their tactics in the form of decision functions. Prediction of partner’s behavior in negotiation has been an active research direction in recent years as it will improve the utility gain for the adaptive negotiation agent and also achieve the agreement much quicker or look after much higher benefits. In this proposal we review the various negotiation methods and the existing architecture. Although negotiation is practically very complex activity to automate without human intervention we have proposed architecture for predicting the opponents behavior which will take into consideration various factors which affect the process of negotiation. The basic concept is that the information about negotiators, their individual actions and dynamics can be used by software agents equipped with adaptive capabilities to learn from past negotiations and assist in selecting appropriate negotiation tactics.
Received Research Grant Rs. 1,70,000/- from University research grant scheme of B.C.U.D, Savitribai Phule Pune University for 2 years

Priti Chakurkar, Dr. Debajyoti Mukhopadhyay
An Efficient way to manage constraint devices in IoT
As the Internet of Things (IoT) evolves, applications rely on devices without much human intervention. In order to well maintain these sensor devices, it is required to remotely monitor and control devices without consuming significant resources. Managing these remote devices effectively can lead to cost savings and operational efficiency, and designers must create solutions that allow customers to monitor and make changes on the fly instead of manually sending technicians to make changes in the field.

Archana Chougule, Dr. Debajyoti Mukhopadhyay
AgroKanti: Decision Support System to Increase Agriculture Production in India
There are many pests occurring on Grapes which cause huge yield loss to farmers. The grapes development is driven mainly by temperature and many pests have direct relation with temperature. We are developing a decision support system named AgroKanti for managing pests on table grapes like powdery mildew and anthracnose. The decision support system is location based i.e. farmer is provided with details of pests considering current weather conditions at farmer’s location. We support farmers with pest details like symptoms and management techniques for pests.

Himangi Pande
Adaptive Energy Efficient MAC for Wireless Body Area Network
My research work is focused on Adaptive Energy Efficient MAC for Wireless Body Area Network. I considered mainly two parameters of energy efficiency that are Power consumption and Throughput. It will increase the life time of battery. Mainly contention window and dynamic duty cycle concepts are used in Adaptive Energy Efficient MAC protocol for Wireless Body Area Network.

Bela Joglekar
Context Determination based on Sequence of Images for External Feedback Stimulus
The research focuses on context based image retrieval. The environment or context is used for retrieving any image/event by presenting sequential ranked images stored in a database. This is achieved through relevance feedback which acts as a stimulus for repairing any lost cognition.

Lalit Kulkarni
Design and Development of a Model for Security in Delay Tolerant Network
Delay Tolerant Network [DTN] is a type of network which has a completely different way to address the problem of providing network services. Security threats have always been an issue for Delay Tolerant Networks, since its inception. The problem of these threats increases with the number of intermediate nodes, sensing range, transmission capacity of the node. The aim of this project is to detect and punish the malicious nodes in DTN.

 
 
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