Manuscripts

Recent Papers

Research Paper

Visual relationship detection and Scene Graph Generation using the Bi-Directional Gated Recurrent Unit

Visual relationship detection is an intermediate image understanding task that detects two objects and classifies a predicate that explains the relationship between two objects in an image. Relations among entities play a central role in image understanding. Due to the complexity of modeling (subject, predicate, object) relation triplets, it is crucial to develop a model that cannot only recognize seen relations but also generalize to unseen cases. Inspired by a previously proposed visual translation embedding model, the context-augmented translation embedding model can capture both common and rare relations. The previous Visual translation embedding model maps entities and predicates into a low-dimensional embedding vector space and learns the embeddings guided by the constraint predicate, union(subject, object). In addition to the framework is combined with a language model that learns which relationships are more suitable between pairs of object classes. The model solves the scene graph inference problem using the standard Bi-GRU model and learns to iteratively improve its predictions. Our joint model can take advantage of contextual cues to make better predictions on objects and their relationships from an image. This work explicitly models the objects and their relationships using scene graphs, a visually grounded graphical structure of an image. Where in the graph, the nodes are represented as the objects, and the directed vertex is represented as relationships. The experiments show that our model significantly outperforms previous methods on generating scene graphs using the Visual Genome dataset.

Published by: Monesh S.

Author: Monesh S.

Paper ID: V7I5-1219

Paper Status: published

Published: September 16, 2021

Full Details
Review Paper

A holistic view on the National Wind Resource Assessment Program (NWP) of India

India is blessed with immense renewable energy resources in general and wind energy resources in particular. Evaluating the potential of wind energy resources in changing the energy scenario in the country is vital for the development of wind turbine installations in near future. About 38600 MW capacity wind power plants are installed so far as up to December 2020. In the wind energy conversion/utilization, India stands in the fourth position in the world and it is one of the countries with the largest ground measurement databases exclusively for wind power projects. This paper presents a complete overview of the National Wind Resource Assessment Programme (NWP) being implemented by the Government of India through the National Institute of Wind Energy (NIWE) and its role in facilitating the Indian Wind Industry in achieving its key position in the global wind energy scenario.

Published by: Hari Bhaskaran Anangapal, J. Bastin, R. Vinod Kumar, Rajesh Katyal

Author: Hari Bhaskaran Anangapal

Paper ID: V7I5-1223

Paper Status: published

Published: September 16, 2021

Full Details
Research Paper

A comparative study to analyze the efficacy of walking and balance training on fall prevention among the elderly population

A comparative study to analyze the efficacy of walking and balance training on fall prevention among the elderly population. OBJECTIVE To find out the comparative effects of walking and balance training on fall prevention in the elderly population. DESIGN: The study is a pretest and post-test experimental design comparative in nature. PARTICIPATION: Twenty subjects aged between 75-85years old with prone to fall were selected from old age home Podanore and treated with walking and balance training. OUTCOME MEASURE: The outcome was measured by using ‘The -4 Stage Balance test’ RESULTS: Statistical analysis done by using paired ‘t’ test and unpaired ‘t’ test showed that there was a significant improvement in subjects who underwent the treatment with walking and balance training. CONCLUSION: It concluded that the patients who underwent the walking had a better effect when compared to the patient who underwent balance training.

Published by: G. Jency Thangasheela, J. Macklin Abraham Navamani

Author: G. Jency Thangasheela

Paper ID: V7I5-1221

Paper Status: published

Published: September 16, 2021

Full Details
Research Paper

A robust TLBO algorithm for solving the ELD problem

This work focuses on a teaching learning-based optimization (TLBO) algorithm for solving economic load dispatch (ELD) problems. The TLBO technique is a recently developed optimization algorithm based on the influence of the teaching-learning process. The best possible dispatches scheduled of the thermal generator are finding using the TLBO algorithm that minimization of fuel cost of a given system. To test the effectiveness of the TLBO algorithm, the proposed algorithm has been applied to three and six generating unit systems for fuel cost minimization. The simulation results achieved by the proposed method are better-optimized solutions for fuel cost minimization.

Published by: Hariom Sharma, Arun Pachori

Author: Hariom Sharma

Paper ID: V7I5-1211

Paper Status: published

Published: September 16, 2021

Full Details
Research Paper

Application of wind energy in the DC motor control using MATLAB/SIMULINK.

Commercial wind energy is one of the most economical sources of new electricity available today. In this power point presentation, the main objective is to explain how wind energy is used in the control of DC motor. Wind Energy Conversion System (WECS) is done by using a doubly fed induction generator driven turbine in MATLAB/SIMULINK. Speed control of a machine is the most vital and important part in any industrial organization. Now, this DC motor control is done with the help of a H-Bridge circuit. The AC output obtained from the wind energy is converted into DC and is fed to the DC motor. Results obtained by the implementation of WECS and DC motor control model in SIMULINK are presented. Additionally, the switching states required for the four-quadrant operation of a DC motor are presented.

Published by: K. Aravinda Shilpa, Allu Sumalatha, Dalli Bhavya Raga Akanksha Reddy, Katcha Kavya, Chalugu Sai Kumari

Author: K. Aravinda Shilpa

Paper ID: V7I5-1207

Paper Status: published

Published: September 15, 2021

Full Details
Research Paper

Highlighting symbolism in Maya Angelou’s I Know Why the Caged Bird Sings

The purpose of this paper is to explain the strong presence of symbols in I Know Why the Caged Bird Sings by Maya Angelou. In literary works, a symbol is employed to bring out ideas, conceptions, beliefs, and opinions in a more efficient method. Symbolism allows for a multi-dimensional approach to literary writings, allowing readers to grasp the substance of the texts with more clarity. Symbolism is a highly illustrative form of communication that reveals the ultimate truth. The desired meanings are indirectly conveyed through signs and symbols. The goal of symbolism is to achieve a far more profound and significant understanding. Rather than speaking it out loud, an author can employ symbols to convey her views.

Published by: Shruthi J.

Author: Shruthi J.

Paper ID: V7I5-1203

Paper Status: published

Published: September 15, 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