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Research Paper

Luminance-chrominance-gradient high dynamic range imaging with improved bitonic filter tone mapping technique

In this paper, we will discuss a new process for High-Dynamic-Range Imaging. In contrast to the traditional method, we are processing the High-Dynamic-Range imaging process in luminance-chrominance-gradient space rather than RGB space. The main motive is to get the more efficient technique and also to avoid color-distortion generating from three different color channels. We introduced a camera responsive function for luminance channel so that we can find out the HDR luminance. On the other hand, for chrominance channels, we introduced weighting in relation to the saturation level. Our technique produces more natural tone-mapped images with more information. Once the luminance, chrominance, and gradient values are extracted from the image, based on logarithmic of the luminance value, the tone mapping technique approximates the appearance of the HDR image. In local tone mapping, there is a detail loss, artifact and higher computation time because of the tone mapping technique. To increase the image quality and to increase the performance of tone mapping is the main idea of the research. Improved Bitonic Tone Mapping (IBTM) is a new technique proposed for efficient tone mapping. In this method, edges have high weights than flat surfaces and a weight factor is added to the bitonic filter. When compared to different tones mapping algorithms like Reinhard, Drago, Exposure, and Gamma, Local adoption etc. shows that from the proposed technique we can achieve higher performance.

Published by: Ravi Teja Sankuratri, B. Ravi Kiran, Mohan Teja Chitturi, Pavan Kumar Rudhramahanti, Samhita Revu

Author: Ravi Teja Sankuratri

Paper ID: V5I2-1439

Paper Status: published

Published: March 22, 2019

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Research Paper

Case study on LinkedIn, a media for career development

Social media is becoming a necessity in today’s world, more than ever before. Social media is delivering everything we want to know about pretty much anything, in a split second, and at our fingertips. While some embrace it and use social media regularly, others still don’t for multiple reasons; finding it difficult or they don’t want it to be intrusive or a mainstay in their lives. There are also more contemporary methods of obtaining professional contacts, such as networking online. Social networking sites such as Facebook, Twitter and LinkedIn are ideal for contacting and becoming noticed by employers that you otherwise wouldn’t have been able to speak with in person. For instance, did you know that according to the Bullhorn Reach Report, 97% of users registered with LinkedIn use it to source candidates for jobs? LinkedIn has several groups that you can engage in to showcase your knowledge and allow you to meet new people. This paper attempts to Highlights to understand. To know the various application usages, To know the purpose of using the LinkedIn, To know the role of LinkedIn in networking professional. & To know various professionals using it for career development. The results revealed that 44% of the respondents used LinkedIn for getting knowledge, to maintain relationship with professionals and for developing their career, 44% viewed LinkedIn is ranked as excellent in application usage, 46% said that LinkedIn meet their needs very well, 50% of the respondents said somewhat agreed that LinkedIn has helped them in networking professionally& 70% responded that they use LinkedIn for their profession.

Published by: Dr. Veena C. Angadi

Author: Dr. Veena C. Angadi

Paper ID: V5I2-1277

Paper Status: published

Published: March 22, 2019

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Research Paper

Gesture based car control with gyroscope sensor and IoT based controlling

With many new devices to control the daily life products, we have our smart phones, when connected to a network with suitable supporting software is capable of controlling many other objects or devices it is connected to via the network. These Devices use any one of the protocols available for Internet communication to communicate between them. A Web controlled vehicle system is presented in this project work. It highlights the idea to develop a remote-controlled car which can be driven from within the car using the Internet over a secured server. This car has Ultrasonic sensors to measure the safety distance between itself and any other vehicle or any other obstacle. The main goal here is to minimize the work done or needed to drive a car with ease of driving experience. At the same time, the car will assure comfort and convenience to the controller. A miniature car including the above features has been developed which showed optimum performance in a simulated environment.

Published by: Kalaichelvan M., S. Sathiyapriya, Ch. Sai Ravi Teja, Jinka Sumanth

Author: Kalaichelvan M.

Paper ID: V5I2-1321

Paper Status: published

Published: March 22, 2019

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Research Paper

Brake pad wear detection using machine learning

Most of the vehicles use a brake disk and brake pad system to stop the vehicle. Brake pad wear is a very important parameter in this system it has a direct effect on the braking performance of the vehicle. A machine learning approach, without using any intrinsic properties like the coefficient of friction of the brake pad material or the area of the brake pads or the composition of the brake pad material, has been proposed. The braking performance of the vehicle is reflected in its stopping distance and hence it is essential to relate the stopping distance and the brake pad wear. The same has been proposed in this document.

Published by: Chetan C. Harlapur, Priyatamkumar Kadiyala, Ramakrishna S.

Author: Chetan C. Harlapur

Paper ID: V5I2-1376

Paper Status: published

Published: March 22, 2019

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Research Paper

Experimental investigation of clayey sand with plastic gunny bag as reinforcement

The soil which is generally weak and possesses high deformation values in vast areas are covered with soil deposits having low shear strength and high compressibility. Clayey sands (SC) mostly tend to exhibit high liquid limit (LL) and plastic limit (PL). The technique of combining any two materials of different strengths to form a composite single material of greater strength is the frequent procedure followed in civil engineering practice. The soil is quite good in compression and weak in tension can’t bear the load alone. When a material of high tensile strength is introduced in the soil as a reinforcing material, the soil turns into a composite material and tends to possess relatively very high strength and attains the ability to carry loads of heavyweights. Reinforced earth is a technique primarily used to increase the ease of construction and cost-effectiveness. Keeping in view the research findings outlined about, in the present experimentation, it was carried out to investigate the efficacy of plastic gunny bags stabilizing the weak soil, thereby, improving the shear strength and bearing capacity of the soil. A systematic methodical process followed involving experimentations in the laboratory under controlled conditions. It was observed that 1cm thickness and 0.03mm thickness of plastic gunny bags with clayey sand effectively improved the shear strength and bearing capacity of the soil.

Published by: A. Harika, V. Jagadeesh, S. Navya Sri, P. Manikanta, Ch. Praveen Kumar

Author: A. Harika

Paper ID: V5I2-1382

Paper Status: published

Published: March 22, 2019

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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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