Manuscripts

Recent Papers

Research Paper

Smart elevator using facial recognition

Identifying a person by an image has been popularized through mass media. Facial recognition is a currently used technology and has a wide range of applications. This paper presents a methodology for maintaining the security and increasing the building automation, by incorporating facial recognition in elevators. This project solves problems using the Internet of things, IoT.

Published by: Sarthak Chudgar, Johnathan Fernandes, Aneesh Poduval

Author: Sarthak Chudgar

Paper ID: V5I6-1188

Paper Status: published

Published: December 4, 2019

Full Details
Research Paper

Development of green marketing strategy for an airline in Saudi Arabia

Green Marketing (GM) is a concept that refers to the process of marketing services or products based on its environmental performance or environmental benefits. Vision 2030 of Saudi Arabia emphasizes the green movement and most of the recent projects support the sustainability of the green concept. Commercial airlines all over the world contribute significantly to the environment. The airline in our research is being one of the largest airlines in the world has to play an effective role in the green movement. The present study focuses on the development of green marketing strategies for the airline. A questionnaire comprising of twenty-five questions was distributed online for the purpose of data collection. Likert- type scale was used to get responses from 700 participants, who were the staff members, customers and other stakeholders of the airline. Statistical techniques of ANOVA, F-test, t-test, and Chi-square test were used to carry out the analysis of data. Results revealed that the majority of the participants are not willing to participate either financially or by limiting their choices to reduce the impact of aviation, authorities, and airlines should take the responsibility and do more to reduce the impact of aviation on the environment. Results also revealed that there is a clear influence of age, gender, and education on evaluation airlines’ activities toward the environment, but there is no influence of management level, frequent traveling or aviation background on evaluating these activities. The basis of the developed strategy is green positioning where the airline repositioned to be a green airline , then the airline should invest and develop the main four pillars which are green product, green place, green partnership, and green policy, finally, the airline should communicate all these initiatives to the stakeholders through green promotion activities.

Published by: Ziad Alghanmi

Author: Ziad Alghanmi

Paper ID: V5I6-1186

Paper Status: published

Published: December 4, 2019

Full Details
Research Paper

ESL learners’ vocabulary strategy use and learning perception

Vocabulary is an important aspect of second language acquisition. It plays a vital role in language learning. However, it has become the highest challenge that ESL learners faced in the process of language learning. This can be specifically focused on second language learning. In the need of high vocabulary in the second language, vocabulary learning strategies are suggested to be introduced among ESL learners. This enlightens of vocabulary learning strategies among ESL learners believed to have an improvement in vocabulary learning. This study employed a qualitative research design. It is conducted in need of identifying strategies used by learners. This study examined a number of strategies used by pupils from schools located in suburban areas. Besides, the interest of pupils towards vocabulary learning also examined in this study. Furthermore, this research was conducted to test whether there is any significant difference between male and female ESL learners in vocabulary learning perception. A set-off adopted version questionnaire was given to 100 samples which consist of 50 males and 50 females to gather the results of this study. The samples for this study were selected based on a random sampling method. The findings of the study showed that both male and female students have positive perceptions towards vocabulary learning and they preferred social strategy highly in their vocabulary learning.

Published by: Santhy Muthu, Parilah M. Shah

Author: Santhy Muthu

Paper ID: V5I6-1165

Paper Status: published

Published: December 3, 2019

Full Details
Research Paper

“A study welfare facilities provided and employee satisfaction in Mahavitaran with special reference of Satara district”

Energy is an engine of economic growth and future growth will depend on availability and quality of energy. India is the world’s fifth-largest energy producer and seventh-largest energy consumer. Electricity is the ‘concurrent’ responsibility of the central and state governments. There is Dominance of public sector institutions in the power sector the private participation has been increasing after the adoption of new economic policy. Combination of natural monopoly and oligopolistic market structure. Electricity is a basic need for domestic, agriculture and industrial sector of any economy. hence study on welfare facilities provided and employee satisfaction is required which deeply affect on organization and policy implementation

Published by: Amit Anil Bartakke, Nirmohi Jadhav

Author: Amit Anil Bartakke

Paper ID: V5I6-1230

Paper Status: published

Published: December 3, 2019

Full Details
Others

Performance of fusion algorithm for active sonar detection in underwater acoustic reverberation environment

In the active SONAR system, the detection of a target is performed by Matched-Filter processing proceeded by a Constant False Alarm Rate (CFAR) thresholding method. CFAR alone is a not a competent method, to annihilate the invalid echoes. This method on sole does not attain the best pursuance under the reverberation scenario in the non-homogeneous condition of the acoustic environment. In this, the paper Fusion algorithm is recommended for active sonar application, where the CA-CFAR and Support Vector Machine (SVM) based classification method are together used to annihilate the invalid echoes and simultaneously improve the detection of valid echoes. In this paper, a comparison of linear and non-linear SVM with the CA-CFAR method is proposed for elevating the performance of detecting the valid echoes and annihilates the invalid echoes. The interpretation of the algorithm is accomplished using measured data.

Published by: Korla Jayanthi

Author: Korla Jayanthi

Paper ID: V5I6-1224

Paper Status: published

Published: December 2, 2019

Full Details
Research Paper

Application of deep Neural Networks for object detection in satellite images

The rapid growth in satellite imagery has helped scientists understand the Earth better. The improved understanding of the Earth makes it possible for scientists to perform better in all activities that range from disaster management in the form of mobilizing resources to comprehend global warming by monitoring its effects. The major limitation of this achievement is the assumption that significant features in satellite images, like buildings, roads, trees, or water bodies, can be easily identified, either manually or semi-automatically, but always perfectly. In this paper to overcome this limitation, we use different convolutional neural networks with modifications such as proposed PSPNet, U-net architecture, Inverted pyramid and XGBoost algorithm for accurately detecting specified features in satellite images from Defense Science and Technology Laboratory (DSTL) database. Automation of feature detection in satellite images is not only useful in making smart and quick decisions, but also in bringing innovation in the application of computer vision methodologies to satellite imagery.

Published by: Akhilesh Kakade, Vikas C. Kakade

Author: Akhilesh Kakade

Paper ID: V5I6-1221

Paper Status: published

Published: December 2, 2019

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