Manuscripts

Recent Papers

Case Study

Post-operative rehabilitation of fracture of the distal end of the humerus: A case study

Intra-articular fractures of the distal humerus constitute 0.5%–7% of all fractures and 30% of elbow fractures. Over 25% of such fractures develop significant complications during treatment and a few of them may need further surgery. Intraarticular fractures of the distal humerus can be treated by open reduction and internal fixation (ORIF). Methodology: This case study was conducted on Mr. Rangaswamy during the first week of March 2021 at ESIC hospital. The patient was treated with gentle range of motion mobilization for elbow flexion, extension to the patient’s pain tolerance level. He was also given wrist and hand ROM mobilization. Conclusion: During the 6 days of Physiotherapy sessions, we had with the patient, we both could see the improvement from day 1 until our last session together. He improved greatly during the course of treatment. The improvement came after joint mobilizations, functional exercises, and the patient’s positive attitude, and the willingness to get back to normalcy.

Published by: Sandesh Rao, Kangkana Goswami, Subarna Rabha, Diker Dev Joshi

Author: Sandesh Rao

Paper ID: V7I3-1450

Paper Status: published

Published: May 24, 2021

Full Details
Research Paper

Human activity recognition system

Understanding the activities of human from videos is demanding task in Computer Vision. Identifying the actions being accomplished by the human in the video sequence automatically and tagging their actions is the prime functionality of intelligent video systems. The goal of activity recognition is to identify the actions and objectives of one or more objects from a series of examination on the action of object and their environmental condition. The major applications of Human Activity Recognition vary from Content-based Video Analytics, Robotics, Human-Computer Interaction, Human fall detection, Ambient Intelligence, Visual Surveillance, Video Indexing etc. The Experimental Evaluation of various papers are observed efficiently with the various performance metrics like Precision, Recall, and Accuracy.

Published by: Akash Kumar, Varshini Shenoy, Puneet Tiwari

Author: Akash Kumar

Paper ID: V7I3-1445

Paper Status: published

Published: May 24, 2021

Full Details
Research Paper

Dual axis solar tracking system using Arduino UNO

Solar photovoltaic cells generates the energy by approximately following the intensity of light and using the light energy to create an electric current. There are many PV cells within solar panels and the current created by all of the cells together adds up to enough electricity. A dual axis solar energy system using “Arduino UNO” works as an automatic tracking system and controls the elevation and orientation angles of solar panels such that the panel always maintained perpendicular to sunlight. The measured variable of our automatic dual axis solar tracking system is low cost, reliable and efficient. As a result of experiment, by using monocrystalline solar panel and following the intensity of sunlight, the energy generated by dual axis solar tracking system increases consumption of energy up to 8%-25% more than fixed PV system.

Published by: Samiksha Sharad Ranpise, Aditya Bhagwaan Kadam, Tejesh Prabhakar Shinde, Viabhav Raghunath Mhatre, Manisha Bhendale

Author: Samiksha Sharad Ranpise

Paper ID: V7I3-1444

Paper Status: published

Published: May 24, 2021

Full Details
Technical Notes

Credit card fraud detection

Credit card Fraud has emerged as a bigger problem with an increase in online transactions and e-commerce. A credit card fraud happens when a fraudster uses your credit card information to make unauthorized purchases in your name. Credit card companies need to address these fraudulent transactions so that customers are not charged for the goods they did not buy. In this paper, we aim to tackle such fraudulent transactions by identifying them using various machine learning algorithms like Logistic Regression, Random Forest and, eXtreme Gradient Boosting. The results of the algorithms are based on accuracy, precision, recall, and F1-score. The algorithms are compared, and the algorithm that has the greatest accuracy, precision, recall, and F1-score is considered as the best algorithm that is used to detect fraudulent transactions.

Published by: Vadlamudi Tony Titus, Lakshmi Choudari, Shashank, Gunavardhan

Author: Vadlamudi Tony Titus

Paper ID: V7I3-1433

Paper Status: published

Published: May 24, 2021

Full Details
Research Paper

Employee attrition prediction

The success of major corporations/organizations depends on the employees working in it. These employees leave the jobs due to a variety of reasons ranging from personal problems, unsatisfactory working conditions to being fired for not meeting the requirements of the job. This leaving of employees is affecting the organizations in terms of cost as well as lost productivity. In this paper, we attempt to develop a system to predict employee attrition dependent on the data within the organization.

Published by: Varshit Jain, Ansh Aya, Dhairya Desai

Author: Varshit Jain

Paper ID: V7I3-1431

Paper Status: published

Published: May 24, 2021

Full Details
Research Paper

Pivot influence: CEO change and their focal domain

The paper assesses how a CEO change of a firm and his/her respective focal domain influences the intensity of the firm’s pivot. During the research, we derive two hypotheses based on a pivot and the various associated parameters. The first hypothesis is that a CEO change in the firm will create higher intensity to pivot within the firm. The second being that a higher intensity to pivot will occur if the CEO of a firm is a domain outsider rather than a domain insider. Furthermore, in examining the United States (US) photovoltaic (PV) industry, we found that contrary to the first hypothesis, there is a lower intensity to pivot for a firm when a CEO change occurs. For the second hypothesis, if the CEO is categorized into a focal domain (domain insider and domain outsider), we find that a firm has higher intensity to pivot if the CEO is a domain outsider.

Published by: Aryan Tanwar, Prem Sagar

Author: Aryan Tanwar

Paper ID: V7I3-1451

Paper Status: published

Published: May 24, 2021

Full Details
Request a Call
If someone in your research area is available then we will connect you both or our counsellor will get in touch with you.

    [honeypot honeypot-378]

    X
    Journal's Support Form
    For any query, please fill up the short form below. Try to explain your query in detail so that our counsellor can guide you. All fields are mandatory.

      X
       Enquiry Form
      Contact Board Member

        Member Name

        [honeypot honeypot-527]

        X
        Contact Editorial Board

          X

            [honeypot honeypot-310]

            X