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Research Paper

Customer satisfaction survey of quick-service restaurant with special reference to subway: A study in Navi Mumbai

This research evaluates the extent of customer satisfaction for Subway food chain marketing strategies. In the present scenario, a lot of big and small QSRs are trying to win the customer share of heart and develop loyalty. So, the first basic need is to know the customer liking and disliking for the services provided by the food chains. Here the research will try to explain the factors which affect the customer satisfaction for QSR services. The objective of the study is to find out the effect of the food quality, service quality, ambiance and price on customers’ satisfaction in the Subway restaurant of Kharghar and Sea wood. To research that convenience sampling technique was used to collect the data. The questions were rated on a 5-point Likert scale

Published by: Arpita Pandey, Saritprava Das

Author: Arpita Pandey

Paper ID: V5I2-1568

Paper Status: published

Published: March 29, 2019

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Research Paper

Characterization of hybrid thin films for application in the field of solar cells – A response to climate change

The enhancement of greenhouse gases due to the increased usage of fossil fuels leads to global warming followed by climate change. To overcome these researchers have been concentrating on renewable energy. Solar energy is an inexhaustible source of energy. It could supply all the present and future energy needs of the world. The amount of solar radiation reaching the earth differs from the radiation reaching the top of the earth’s atmosphere. Flat-plate collectors are used to collecting solar energy and the collected energy is stored in different types of energy storage systems and used for different applications like water heating systems, thermoelectric systems. Solar cells are used for the direct conversion of solar energy into electrical energy. In this study, the importance of more economic hybrid thin films for application in the field of solar cells and photodetectors were highlighted. The optical absorption and photoconductivity for the hybrid thin films were found to increase with increasing concentration of zinc telluride.

Published by: C. S. A. Raj

Author: C. S. A. Raj

Paper ID: V5I2-1563

Paper Status: published

Published: March 29, 2019

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Review Paper

Bioavailability enhancers: An overview

Oral absorption of the drug is a very important issue especially when the drug is poorly bioavailable, given for long periods and expensive. Poorly bioavailable drugs remain sub-therapeutic because a major portion of a dose never reaches the plasma or exerts its pharmacological effect unless and until very large doses are given which may also lead to serious side effects. Any significant improvement in bioavailability will result in lowering the dose or the dose frequency of that particular drug. Bioenhancers are chemical entities which promote and augment the bioavailability of the drugs which are mixed with them and do not exhibit a synergistic effect with the drug. The various bio enhancers available are piperine, garlic, Carum carvi, Cuminum cyminum, lysergol, naringin, quercetin, aziridine, glycyrrhizin, stevia, cow urine distillate ginger.

Published by: Tulasi Iswariya, Shivani Gupta

Author: Tulasi Iswariya

Paper ID: V5I2-1549

Paper Status: published

Published: March 29, 2019

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Others

Deep learning architectures for crime occurrence detection and prediction

Due to the escalation in the rate of crimes, there is a requirement of the system that will detect and predict crimes at the dynamic time. The objective of this survey is to learn Data Mining techniques that will go on to help in detecting and predicting crimes using association rule mining, decision trees & naive Bayes, k-means clustering and Machine learning techniques such as deep neural network and artificial neural network. Noticeable findings from this survey were that when the dataset instances have a large number of missing values pre-processing becomes an important task and crime does not occur uniformly across urban landscapes but concentrates in specific areas. Hence, predicting crime hotspots is a very crucial task and also applying post-processing will help in decreasing the rate of crimes.

Published by: Arnav Singh Bhardwaj, Divakar K M, Ashini K A, Devishree D S, Sheikh Mohammad Younis

Author: Arnav Singh Bhardwaj

Paper ID: V5I2-1605

Paper Status: published

Published: March 29, 2019

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Research Paper

Student feedback prediction using machine learning

Advances in natural language processing (NLP) and educational technology, as well as the availability of unprecedented amounts of educationally-relevant text and speech data, have led to an increasing interest in using NLP to address the needs of teachers and students. Educational applications differ in many ways, however, from the types of applications for which NLP systems are typically developed. This paper will organize and give an overview of research in this area, focusing on opportunities as well as challenges. In the proposed methodology, we are collecting student feedback about classroom, exam and lab facilities. After that, we are predicting the dataset using natural language processing. In NLP, we will use 2 approaches: NLTK toolkit and the random forest algorithm approach. After predicting the data, we will be analyzing the positive, negative and neutral nature of the data. This will help in effectively improving the performance of the institution and to create plans to enhance institutions’ teaching and learning experience. Student’s feedback improves communication between the lecturer and the students, allowing the lecturer to have an overall summary of the student’s opinion.

Published by: Nilesh Singh Sengar, Kartik Chourey, Shraddha Bajaj, S. Abinayaa

Author: Nilesh Singh Sengar

Paper ID: V5I2-1567

Paper Status: published

Published: March 29, 2019

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Others

Role of community in enhancing the learning level of Government school Children: My experience in Mayurbhanj district, Odisha

A report: How the relationship between community and school played a big role in enhancing the learning level of children in Government schools of Mayurbhanj in the state of Odisha, India. The current scenario depicts the non-association of schools with communities. In order to build a strong relationship between schools and communities for an overall development of Children aged between 6 to 9 years, CARE India during its intervention in Mayurbhanj district initiated some actions to bridge the gap between school and community. The results mentioned in this paper are quite visible in the community library study report prepared by CARE India.

Published by: Lokesh Prasad Dash

Author: Lokesh Prasad Dash

Paper ID: V5I2-1607

Paper Status: published

Published: March 29, 2019

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