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

Engineering and Technology

Crowdsourcing has developed as a significant problem solving and information gathering standard which makes use of the Internet. The crowdsourced data available on different blogs, forums and social media websites in the form of customer feedback and reviews is an important source of information for the companies. A Data analyst aims at finding trends, patterns and meaningful insights from crowdsourced data. Taking help of crowdsourced workers to analyze this redundant and huge amount of data is not only tedious but is also time consuming. A solution for this problem is proposed that increases the potential of gain of meaningful insights to a large extent. Data mining approach is used to analyze reviews of four different ecommerce websites based on different performance parameters. This unstructured crowdsourced data is processed and filtered using J48 classifier. 355 fake reviews were eliminated. Remaining truthful data was analyzed and Multiviewpoint based similarity clustering was used in order to remove redundancy, which gave the accuracy of 98.66%. To make crowdsourced data more representative and usable graphs were plotted based on delivery, return, refund and customer care parameter to help the analyst in decision making

School of Computer Engineering & Technology

IJSRD - International Journal for Scientific Research & Development|

Data Mining Approach to Analyze Crowd Sourced Data for BusinessAnalytics

World University root node

Int.J.Computer Technology & Applications

Gesture Recognition For Mood Detection

Internet has become a vital part of any organization. But with the growth of internet, intrusion and attacks have also increased. Thus, there arises a need of robust and powerful intrusion detection systems which can detect the attacks. Recently, many novel methods are experimented to build strong IDSs. In this paper, we implement a new Improved Dynamic FCM algorithm and successfully integrate it in WEKA to expand the system functions of the open-source platform, so that users can directly call the FCM algorithm to do fuzzy clustering analysis. Besides, considering the shortcoming of the classical FCM algorithm in selecting the initial cluster centers, we represent this Improved DFCM algorithm which adopts a new strategy to optimize the selection of original cluster centers. A novel classification via dynamic fuzzy c means clustering algorithm has been proposed to build an efficient anomaly based network intrusion detection model. A subset of KDD Cup 99 intrusion detection benchmark dataset has been used for the experiment. The proposed novel concept will be efficient in terms of detection accuracy, low false positive rate in comparison to the other existing methods.

International Journal of New Technologies in Science and Engineering

Network Intrusion Detection Using Dynamic Fuzzy C Means Clustering

Over the past century, need and development of micro-power devices have necessitated the need for studies to look further into mediums that can enhance combustion processes of fuels by optimizing system parameters. This is essential so as to utilize the high specific energy content of liquid hydrocarbon fuels. As we know that main source of pollution is oxides nitrogen (NOx) so method or apparatus is develop which is used as pre-processing unit for the automobile mainly. This method and apparatus for reducing the emissions and improving the performance of an internal combustion engine. An input air stream is separated into an oxygen-enriched air stream and a nitrogen-enriched air stream. The nitrogen-enriched air stream is received by a holding chamber. The oxygen-enriched air and a combustible fuel are provided to a combustion chamber of the internal combustion engine and a combustion process is initiated. After a predefined time delay, a volume of nitrogen-enriched air is provided from the holding chamber to the combustion chamber to be used during the rest of the combustion process or we can also used separated nitrogen for other useful application such as air-conditioning or cooling purpose.

School of Mechanical Engineering

International Journal for Science and Advance Research in Technology

Experimental investigation of four stroke SI engine using oxyrich air energizer for improving its performance

NS3 is an open source Network Simulator used in research and educational feild.NS3 is an open source free software freely and publicly available for research and development. It is licensed under GNU GPLv2 license. The main aim of this NS3 project is to give network researchers the open simulation environment to test their network protocols so that these protocols gives same performance in the real time screnario.Ns3 is developed by Tom Henderson, George, Sally Floyd and Sumit Roy. The team received funding from US National Science Foundation(NSF) for the development of NS3. NS3 is written from the scratch in c++ programming language. Waf build systems and framework for generating Python bindings are contributed by Gustavo Carneiro. Today NS3 is used by many researchers to perform their research in networking filed. Journals like IEEE, ACM, IJCA etc accepts the result simulated using NS3 simulator. New protocol can be written and tested in NS3 by using c++ language with an extension of .cc, after compiling these .cc files NS3 generates .pcap file and .tr files. These .tr files generated by the NS3 can be analyzed to get the throughput, delay, jitter, packet delivery ratio for new protocol developed. Trace file format of NS3 is totally different from that of trace format of NS2. In this paper a new trace file analyzer is developed using Java so that researcher can spend much of his time and efforts in developing a new protocol than analyzing a trace file. This paper also discussed the trace file format of NS3.Similar project called tracemetric is developed but it is not installed correctly on every machine and is not able to read the .tr file takes too long.

Advances in Information Sciences and Service Sciences(AISS)

Trace Analyzer for NS3

Disputes are taking longer to resolve and so are the dispute values increasing .The general issues seem to stem from some common market traits like fast paced construction schedules, projects typically aggregated into complex programmes of work, lack of skilled manpower and professionals and a continued trend of multi-layering contractors and subcontractors. Unfortunately, although the symptoms are well known, the fundamental causes and real cost-time associated with this conflict are not well understood. ＂Getting the basics right＂ along with improvement in implementation aspects of disputes resolution mechanisms would significantly assist in speedy and amicable dispute resolution. The disputes arise due to various reasons and the choice of resolution mechanism in India depends mainly on Arbitration. Although, Disputes resolution board seems promising as a method for dispute resolution, it is less opted .This article aims to identify parameters of comparison for, and to carry out a comparison of, arbitration and dispute resolution board as prime mechanisms and to subsequently identify the better choice with the aid of case studies. Case studies are focused on infrastructure project contracts forming the underpinning of comparison of the two said methods.

School of Civil Engineering

Journal of Civil Engineering and Architectural Research

Comparision of Arbitration and Disputes Resolution Board Mechanisms on Infrastructure Projects

A context-aware architecture can be designed tocollect the mobile user’s context information, derive mobileuser’s current context, distribute user context among contextawareapplications, and support the applications like contextawaresearch. The context acquisition is centralized at thecontext server to ensure the reusability of context informationamong mobile devices, while context reasoning remains at theapplication level. Implementation of such a proxy helpscontext aware applications to derive user context profiles. Theintegration of user context with search engines like Google andYahoo proves how context-aware searches can meet userdemands for tailored services and products in and around theuser’s environment.

International Journal of Computer Science and Information Technologies

A Context-Aware Search System for Smart Phones Based on Context-Aware Infrastructure

Review on applications of nanofluids as emerging heat transfer fluid

Particle swarm optimization (PSO) is a population based stochastic optimization technique developed by Dr. Eberhart and Dr. Kennedy in 1995, inspired by social behaviour of bird flocking or fish schooling. The particle swarm optimization concept consists of, at each time step, changing the velocity of (accelerating) each particle toward its pbest and lbest locations (local version of PSO). In past several years, PSO has been successfully applied in many research and application areas. This paper reviews the applications of PSO algorithm in mechanical domain. The applications of PSO include optimal weight design of a gear train, Simultaneous Optimization of Design and Machining Tolerances, Process Parameter Optimization in Casting, and Machine Scheduling Problem. The paper also describes the improved version of PSO algorithm namely: Hybrid PSO, Multiobjective PSO, Adaptive PSO and Discrete PSO.