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Review Paper

Review on haze removal technique using advanced dark channel prior filter

This paper reviews and correlates various haze removal techniques to improve the atmospheric light estimation because the intensity of the dark channel is a rough approximation of the thickness of the haze. Images of outdoor scenes are usually degraded by the turbid medium (e.g., particles, water-droplets) in the atmosphere. Haze, fog, and smoke are such phenomena due to atmospheric absorption and scattering. The irradiance received by the camera from the scene point is attenuated along the line of sight. Furthermore, the incoming light is blended with the air light. The degraded images lose the contrast and color fidelity. In poor weather condition, fog removal from an image is an unavoidable problem. Various methods of fog removal have been described in literature. Initially, methods using multiple images which included the use of polarization filter. This method suffers from high time complexity and requirement of multiple images, resulting in non-suitability to real-time applications. This leads to the development of single image fog removal technique such as Dark Channel Prior (DCP), Improved Dark Channel Prior (IDCP), Dark channel prior with Histogram Specification, Anisotropic Diffusion and Improved Dark Channel Prior using Guided Filter. In proposed method, the dark channel is used to improve the atmospheric light estimation because the intensity of the dark channel is a rough approximation of the thickness of the haze. This property is used to estimate the transmission and the atmospheric light. A number of techniques has been proposed by various researchers to improve the atmospheric light estimation and to calculate air-light. The main intent of this review paper is to study and compare the distinct techniques of haze removal along with its drawbacks

Published by: Rakesh Sharma, Maninder Kaur

Author: Rakesh Sharma

Paper ID: V5I2-1379

Paper Status: published

Published: March 22, 2019

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Research Paper

Purification of Noyyal River by using phytoremediation technology

Noyyal River is one of the highest polluting rivers in India and heavy metals present in river water is out of standard level. The effluent water of textile industries and spinning mills present in Trippur district discharged into the Noyyal River which polluted the Noyyal river. Because of this contamination affects the crop yields and human health. But purification of River Noyyal by using physical and chemical methods are highly expensive and complicated. In this study phytoremediation technology used for the purification of Noyyal river. Lesser Indian reedmace (Typha angustifolia) serve as a phytoremediation plant which helps in the cleaning up of contamination from the polluted river. The test results show that after phytoremediation treatment COD, BOD, cadmium, chromium, lead, zinc, copper and mercury level gradually reduced within 0 to 15 days interval. Lesser Indian reed mace plant easily grows in the banks of the river. If plantation of Lesser Indian reedmace planted in banks of the river which helps on the removal of heavy metals present in the water gradually. From the result, it can be concluded that the phytoremediation technology is suited for purification of Noyyal river.

Published by: Abarna M., D. Roopa

Author: Abarna M.

Paper ID: V5I2-1393

Paper Status: published

Published: March 22, 2019

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Research Paper

Harassment- The threat to engineers’ life

This study has been done to investigate the events of harassment happening in an engineering college in India. Here the pie chart has been used to analyze the data that we have obtained from engineering students. The places and different ways a student is being harassed is brought to light here. Based on the answers by the participants, suggestions or initiatives to be taken to reduce harassment is stated below.

Published by: Mugunthan B.

Author: Mugunthan B.

Paper ID: V5I2-1412

Paper Status: published

Published: March 22, 2019

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Research Paper

Exploring the potentials, issues, and challenges for community-based tea tourism development (with reference to Hanthana mountains)

The community-based tourism could be one way of creating a more sustainable tourism industry. Community based tourism brings numerous benefits to the wider community by increasing the standard of living in rural areas, which helps in reducing migration to urban areas. The study begins with an assessment of potential tea tourism products that could be developed in the community of Hanthana and the neighboring communities. The research based on qualitative approach in-depth interview and potential identification tool to identifying the tea tourism potentials within the Hanthana area. According to the findings, Hanthana can remark as the most suitable place to promote the tea tourism in Sri Lanka. Paper accomplishes research propositions in line with the empirical and theoretical justifications encouraging future research priorities

Published by: Jayasooriya S. S. W.

Author: Jayasooriya S. S. W.

Paper ID: V5I2-1391

Paper Status: published

Published: March 22, 2019

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Others

Smart mobile devices using ultrasound proximity networking model in IoT applications

For sending a small amount of data such as URLs, IoT commands or encryption key are extremely common in IoT applications. Smartphones are used to transfer text commands to interact with IoT devices. This application uses ultrasound as a means of data transmission for proximity networking on commodity, consumer hardware. This application closely examines different modulation or demodulation schemes that are inaudible to humans and achieve a high data transfer rate. This application is designed a library to run well on low- powered devices, and provide a socket-like interface for easy deployment. This helps protect users from various attacks improving the security of our system.

Published by: Saranya S., S. Suma Christal Mary, Gayathri N., Anushree K.

Author: Saranya S.

Paper ID: V5I2-1419

Paper Status: published

Published: March 22, 2019

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Research Paper

Smart irrigation using IoT

Smart Irrigation can transform agricultural discipline from being manual and static to automatic and dynamic resulting in higher production with lesser human intervention. This model maintains the desired soil moisture level in the soil and sends the data to Arduino. The Arduino acts as a control unit. Based on the sensed values, water will be supplied to the plant which can help us to avoid over-irrigation and under irrigation. Water sensor is used to sense the amount of water still available in the tank. Information from the two soil moisture sensors will be regularly updated to the web page using WIFI module and message alert will be sent to the user. Sensor values are uploaded to the thingspeak channel to generate graphs for analysis, the same can be viewed in-app and motor can be controlled. Real-time data can be viewed in thingspeak cloud.

Published by: Himavamshi, Yamini R., Vishnu Chaithanya Reddy K.

Author: Himavamshi

Paper ID: V5I2-1311

Paper Status: published

Published: March 20, 2019

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