Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Plants are one of the long lasting species on Earth and are used for various purposes such as medicine, food and organics. Apex point and base point, coined here, are very important points of leaf facilitating extraction of various leaf shape based features. The main challenge in automatic plant recognition system is automatically identifying apex-base points and removing petiole of the leaf. Here, we propose a novel methodology, using straight line interpolation and bisection, for automatically identifying leaf apex point and base point. The coordinates of apex point and base point are successfully retrieved and the methodology is rotation and scale invariant. Finally, a logistic regression is used for classification. The proposed methodology is tested in several datasets like Leaflia, flavia and the results are satisfactory. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.

World University root node

Department of Digital Communications

School of Information Technology and Engineering

Vellore Campus

Department of Smart Computing

Department of Software Systems

School of Computer Science and Engineering

Multimedia Tools and Applications

Removing leaf petioles and auto locating apex-base points using straight line interpolation and bisection

Learning Management System (LMS) is the new normal among top institutions in India. Faculties at technical universities in India have started using LMS for various purposes to implement blended learning. LMS like Schoology, Moodle and Google classroom used for many academic activities by academicians across India. Some universities in India have built their own LMS for exclusive online courses. LMS can be used effectively to instruct, share materials, share information, conduct assessments and evaluate digitally by faculties in their classrooms. This paper is an attempt to explore the possibilities of using Google classroom to practice blended learning in English courses. © 2020, World Academy of Research in Science and Engineering. All rights reserved.

Institute for Industry and International Programme

International Journal of Emerging Trends in Engineering Research

Practicing blended learning at engineering institutions using google classroom to teach english

Load balancing is an important aspect in cloud to share load among different virtual machines running on various physical nodes. The user response time which is an important performance metric is being highly influenced by the efficient load balancing algorithm for cloud data centers. Virtual machines which are part of the cloud data centers consist of various types of physical devices. The user response time is affected significantly by the capacity of physical devices that exist as part of the data centers. Several load balancing algorithms exist in the literature to allocate task effectively on various virtual machines running in data centers. We investigate the performance of round robin based load balancing algorithm with closest data center as service broker policy in cloud data centers. We have performed a simulation with data centers that consist of devices with different physical characteristics such as memory, storage, bandwidth, processor speed and scheduling policy using Round Robin load balancing algorithm with closest data centers as service broker policy. We present the merits of heterogeneous device characteristics in reducing the user response time and the data center request service time. We used Cloud Analyst, an open source simulation tool for cloud computing environment

Department of Software and Systems Engineering

Department of Information Technology

International Journal of Innovative Technology and Exploring Engineering Regular Issue

Analysis of Heterogeneous Device Characteristics in Round Robin Based Load Balancing Algorithm with Closest Data Center as Service Broker Policy in Cloud

Load balancing algorithms and service broker policies plays a crucial role in determining the performance of cloud systems. User response time and data center request servicing time are largely affected by the load balancing algorithms and service broker policies. Several load balancing algorithms and service broker polices exist in the literature to perform the data center allocation and virtual machine allocation for the given set of user requests. In this paper, we investigate the performance of equally spread current execution (ESCE) based load balancing algorithm with closest data center(CDC) service broker policy in a cloud environment that consists of homogeneous and heterogeneous device characteristics in data centers and heterogeneous communication bandwidth that exist between different regions where cloud data centers are deployed. We performed a simulation using CloudAnalyst an open source software with different settings of device characteristics and bandwidth. The user response time and data center request servicing time are found considerably less in heterogeneous environment.

An Analysis on ECSE Load Balancing Algorithm with CDC as a Service Broker Policy in Cloud with Heterogeneous Communication and Device Characteristics

C4.5 classification is the widely used Machine Learning algorithm in variety of applications. It is a type of Decision Tree classification algorithm used by researchers to predict the future by analyzing past historical data. In this paper, C4.5 classification algorithm is implemented to calculate the survival rate of life time of a Patient affected with heart attack. The echocardiogram dataset from UCI source with 132 instances and 12 attributes were used for the experimental analysis. This dataset contains missing values which may affect the prediction accuracy and they are replaced using binning method to overcome the drawback. The implementation of the echocardiogram dataset with C4.5 classification was done with four different modes and the accuracies were measured. Mode-1: Applying Echocardiogram Dataset with Missing Values to C4.5 Classification Algorithm. Mode-2: Applying Echocardiogram Dataset after removing Missing Values to C4.5 classification Algorithms. Mode-3: Applying Echocardiogram Dataset with removed missing values to C4.5 algorithm by considering Node splitting criterion only and Mode-4: Echocardiogram Dataset with removed missing values to the C4.5 Algorithm by considering Node splitting and tree Pruning. The accuracies and other related metrics were measured to predict the possible survival rate of heart attack patients at different modes so that the patients can pre-determine whether or not to undergo expensive treatments. The performance of Mode-4 is better than the earlier method which proves that attribute split criterion and tree pruning improves the accuracy. © RJPT All right reserved.

Research Journal of Pharmacy and Technology

Predicting life time of heart attack patient using improved C4.5 classification algorithm

Assessing the attitude towards research is the primary problem of this research. Attitude towards research has multiple dimensions. Comprehending the attitudes of the students towards research would bridge the gap between the research supervisor and his ward. Assessing the attitude and diagnosing the areas that needs to be addressed is the need of the hour to find solution to various problems of doctoral students. The study aims to assess the attitude towards research among the doctoral students and find the various dimensions of attitude. This study also explores the top reasons that have high level of importance in their decision to join doctoral course. It also aims to find various factors that have influenced the students to join doctoral program. Acquiring sufficient knowledge to carry forward the research is a key aspect in the research progress. This research also identifies the areas that need trainings at different levels for the students to meet the requirements to complete the program successfully. The methodology to carry forward this research is a self-developed questionnaire to assess the attitude towards research. The sample of this study consists of 159 students who have completed one year of course work in their doctoral program. The factor analysis yielded 6 factors of attitude towards research. The factors are love for research, research fear, research usefulness, difficulties in research, importance of research and benefits of research. Top three reasons that have high level importance in their decision to join doctoral program are interest in subject domain, wanting to work in a first grade research group and availability of an interesting project. Top three factors that influence the student towards doctoral course are teachers, an enthusiastic mentor and friends. Three important training areas are in article writing and publications, identifying journals for publication and communication skills. © IAEME Publication.

International Journal of Civil Engineering and Technology

A study on attitude towards research among the doctoral students

IP spoofing and Denial of Service (DoS) has become the most important security threat faced by the Internet community today. One of the effective methods of defending against the types of attack is to efficiently locate its source(s). To locate the packet source, a 16-bit hybrid trace back method has been proposed. It uses both the marking and logging methods along with efficient storage method to achieve zero false positive and zero false negative rates. Furthermore, the evaluation of the proposed method on the basis of efficiency of trace back shows that it performs much better than the existing method.