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“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

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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

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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

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Research Paper

Measuring employee motivation levels in an educational organisation

The study examined the motivation levels of employees of an educational institution. Employee motivation levels tend to have an influential impact on performance levels of the workforce as well as the success of the organization. The employees have ranked twenty factors of motivation on a constructed questionnaire and the results have further been interpreted in order to move beyond the usual ways of using pay as a motivating factor and suggesting better ways in order to keep the workforce motivated, keeping in mind the organizational policies of the institution.

Published by: Ananya Sood

Author: Ananya Sood

Paper ID: V5I6-1213

Paper Status: published

Published: December 2, 2019

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Research Paper

Skin cancer detection using Digital Image Segmentation

The detection of skin cancer in the earlier stage is very important and critical. In recent days, skin cancer is seen as one of the most Hazardous forms of the Cancers found in Humans. Skin cancer is found in various types such as Melanoma, Basal and Squamous cell Carcinoma among which Melanoma is the most unpredictable. The detection of Melanoma cancer in an early stage can be helpful to cure it. Computer vision can play an important role in Medical Image Diagnosis and it has been proved by many existing systems. In this paper, we present a computer-aided method for the detection of Melanoma Skin Cancer using Image processing tools.

Published by: Dindi Dhanunjai, Kotur Guna Pragna

Author: Dindi Dhanunjai

Paper ID: V5I6-1168

Paper Status: published

Published: November 30, 2019

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Research Paper

An experimental investigation for the rate of heat transfer in double pipe heat exchanger inside helically coiled tube

The effect on heat transfer and pressure drop is characterized by arranging tubes in helical shape with a different pitch, the experiment is conducted. During conducting experiment the tubular region is maintained by varying the mass flow rate of fluid with the same temperature. After the experiment, the calculated results are obtained, for the same working condition. The average heat transfer rate is increased by 18% by making a tube in helical coil shape over a straight tube. At the same time, the overall heat transfer coefficient also increased by 18% by providing a helical coil shape over a straight tube. Also, the helically coiled tube plays an important rule to improve the heat transfer rate and overall heat transfer coefficient, also raise in pressure drop across the flow. The number of turns and diameter of the coil is important to create turbulence inside the coil. The increase in heat transfer rate with an increase in pressure drop. By comparing with present work we can increase the heat transfer rate by inserting the spring inside the helically coiled tube and also increases by a change in fluid properties. As compared with previous work on the same experiment the helically coiled tube with the minimum pitch we can achieve the high thermal performance

Published by: Sharadkumar, Dr. S. B. Prakash

Author: Sharadkumar

Paper ID: V5I6-1218

Paper Status: published

Published: November 30, 2019

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