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

Our planet is blessed with various species of fauna and flora. It’s well known that plants play a crucial role in preserving the earth’s ecology and environment by maintaining a healthy atmosphere and providing sustenance and shelter to innumerable insect and animal species. Plants are also important for their medicinal properties and as alternative energy sources like bio-fuel. Today as many types of plants are at the brink of extinction. In our day to day life herbal plays vital role on human physic maintenance. Plant classification has a broad application perspective in agriculture medicine and is especially significant to the biology diversity research. In recent time’s computer vision have been successfully applied towards automated systems of plant cataloguing. The proposed system tries to bring atomization in the process of plant leaf classification such that without any precious knowledge of the leaf species, we are trying to detect the leaf. This wi ll help the botanists in their study and speed up the process of identifying the species of plant. India is enriching source of plant species which is the base of ‘Ayurveda’ so the classification and identification of various plant species is one of the important phase. Our idea is to develop an automated tool which would detect and classify the plant leaf species after comparing with the trained sets. These trained sets are used by Artificial Neural Network (ANN) after image processing. The Neural Network would be trained for detection of edge and vein analysis. Earlier atomization was difficult, but now due to drastic development in technological field it is possible in just few steps. This paper proposes the automated tool for plant leaf recognition of leaf its digital image. Manual identification requires prior knowledge of species and is a lengthy process, thus the atomization technique helps t

Engineering and Technology

International Journal Of Engineering And Computer Science

Automated Tool for Plant Leaf Classification Using Morphological Features

The production of best results require the accumulation and analysis of humongous quantities of data be it structured, semi structured or even unstructured. Data that exceed 100 petabytes in RDBMS most often need specific hardware and underperforms complicated computing. Management and analysis of data this varied and large data cannot be done with ease using tools like Excel, minitab, and SPSS prompting the researcher to switch to a scalable distributed computing environment. Apache Hadoop an open source cluster computing framework that uses commodity hardware, HDFS and Map Reduce to compress and make the data compact, is an attractive solution to the situation as it is scalable to need. The purpose of this project is the proposition of development of an analytical platform with open source Apache Hadoop for improvement in the state of management of large quantity data and the usage of open source R software for statistical analysis. For cost parity, this platform can later be extended to a Cloud based cluster computing environments. The benefits of this cloud based big data analytics service are that it is extremely user friendly and made by the open-source software. It allows users to browse through the cloud environment, analyze only the required material on their datasets and store the data back to the cloud. Enterprise with a cloud based environment can save by not having to invest in hardware, upgrading software, maintenance or network configuration, thus making it economical. Keywords: Dynamic RDBMS- Relational Database Management System, minitab, SPSS- Statistical Package for the Social Science, Apache Hadoop; _____________________

Proceedings of Third Post Graduate Conference on “Computer Engineering“ cPGCON 2014

Blahval:Cloud Based Big Data Analytics

Cloud computing is a model for enabling ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources like networks, servers, storage, applications, and services that can be rapidly provisioned and released with minimal management effort or service provider interaction. Despite such promises, cloud computing has not been adopted at a pace that was expected. Among various reasons that prevent its widespread adoption, the most serious issue that Cloud Computing faces concerns its inability to insure data Confidentiality, Integrity, Availability, Authenticity and Privacy. Infrastructure as a service (IaaS) model serves as the underlying basis for other delivery model, and lack of security in this layer will certainly affect the other delivery models, i.e. PaaS and SaaS that are built upon IaaS layer. This paper provide the idea of infrastructure as a service models different security attributes which ensures the security in IaaS components and comparison of different IaaS vendors with respect to security attributes. Keywords—Cloud Computing, Cloud Security,

IJISET - International Journal of Innovative Science, Engineering & Technology

Different IaaS Security Attributes and Comparison of Different Cloud Providers

Today, centralized botnets are still widely used. In a centralized botnet, bots are connected to several servers (called C&amp;C servers) to obtain commands. This architecture is easy to construct and efficient in distributing botmaster’s commands; however, it has a weak link - the C&amp;C servers. Shutting down those servers would cause all the bots lose contact with their botmaster. In addition, defenders can easily monitor the botnet by creating a decoy to join a specified C&amp;C channel. Today several P2P botnets have emerged Just like P2P networks, which are resilient to dynamic churn (i.e., peers join and leave the system at high rates), P2P botnet communication won’t be disrupted when losing a number of bots. In a P2P botnet, there is no central server, and bots are connected to each other and act as both C&amp;C server and client. P2P botnets have shown advantages over traditional centralized botnets. As the next generation of botnets, they are more robust and difficult for security community to defend. Researchers have started to pay attention to P2P botnets. However, in order to effectively fight against this new form of botnets, enumerating every individual P2P botnet we have seen in the wild is not enough. Instead, we need to study P2P botnets in a systematic way.

World University root node

IOSR Journal of Computer Engineering (IOSR-JCE)

Study of P2P Botnet

Botnet - A Network of Compromised Systems

Since last two decades, researchers and practitioners came up with a variety of software tools to automate the testing process. The present paper discusses the proposed work/technique, which can be used to develop a tool to automate test case generation process. It proposes to build an Automation tool that records and replays the use cases, thus providing a simple application for a layman (Non-Technical Person) who is an internal/external consumer. The protocol used for recording is HTTPS, so the encryption is performed while recording the calls. Server/Mid-tier calls will be recorded in .java file which is compiled and executed using command line interface and a Graphical User Interface (GUI). When there is repetition of same scenario, the tool prevents redundancy of use cases. If there is a change in format of input or response, Auto parameterization of input is performed

International Journal of Advance Research in Computer Science and Management Studies

Automation Tool for a Layman to Test Remedy Applications

Data clustering is considered as one of the most promising data analysis methods in data mining and on the other side K-Means is the well known partitional clustering technique. Nevertheless, K-Means and other partitional clustering techniques struggle with some challenges where dimension is the core concern. The different challenges associated with clustering techniques are preknowledge of initial centers of clusters, problem of stagnation, multiple cluster membership problem, dead unit problem, and slow or premature convergence to local search space. So as to resolve these clustering limitations, an eminent choice is to adapt the Swarm Intelligence (SI) inspired optimization algorithms. This paper presents an overview of the research on an applicability of different Particle Swarm Optimization (PSO) variants for clustering multidimensional data along with the basic concepts of PSO as well as data clustering. It also puts forward an idea of new and advance PSO variant in order to deal with multidimensional data clustering.

International Journal of Computer Applications

PSO based Multidimensional Data Clustering: A Survey

New generation business models impose additional requirements on the IT support of business processes. In particular, quickly responding to new business requirements, continuously reducing IT cost, and dynamically integrating new business partners and customers are highly demanded. Recently, the trend in software development has shifted from developing software systems to developing service-oriented systems that are composed of ready to use services. The Service-Oriented Architecture (SOA) architectural style has been widely adopted in industry thanks to its ability of providing seamless integration among software services Service-based applications are constructed by integrating heterogeneous services that are developed using various programming languages and running on different operating systems from a range of service providers. Services are loosely coupled entities, often designed under open-world assumptions, distributed across organizational boundaries, and executed remotely at their service providers’ environment. They require a smoother transition from development to operation than traditional applications. The objective of the paper is to look at the requirements of transaction management for Service oriented systems and the systematic requirements from the starting point for an analysis of current standards and technologies in the field of Web services

International Journal of Scientific & Engineering Research (IJSER)

Transaction Management in Service–Oriented Systems : Implementation

In sensor network a large amount of data need to be collected for future information retrieval. The data centric storage has become an important issue in sensor network.Storage nodes are used in this paper to store and process the collected data. This paper considers the storage node placement problem aiming to place unlimited storage nodes in sensor network to minimize the total energy cost for collecting the raw data and replying queries at the storage nodes. In this paper a strong data access model for placing storage nodes in sensor network is presented.We consider an application in which sensor networks provide real time data services to user. The main aim of this paper is to reduce the cost for raw data transfer,query diffusion, query reply by defining the best location of storage nodes in sensor network.