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Recent Papers

Experimental Reduction of Combustion Noise at Idle Speed in a Single Cylinder CRDI Diesel Engine BT Optimizing the Fuel Injection Pressure

A new technique in the automobile is emerging nowadays to control the noise produced by the engine during a combustion process. The effort has been made by using electronics medium and injection pressure method to reduce the noise produced by the engines in case of the single cylinder. Fuel pressure and temperature has a great effect on the performance of engine and the noise which is produced by the engines during its operation and to control over this problem is challenging for the researchers so the emerging technique of ECU has been introduced in this study ti control the noise and eventually got good results and the results clearly showed the noise reduction by using these ECU control technique.

Published by: Rupinder Singh, Pardeep Singh, Jaswinder Singh

Author: Rupinder Singh

Paper ID: V3I3-1499

Paper Status: published

Published: June 10, 2017

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Analysis of Adaptive Neuro–Fuzzy Based Expert System for Parkinson’s disease Diagnosis

The real world Parkinson’s Disease(PD) is a chronic progressive neurological disease that affects a small area of nerve cells called neurons in the area of the brain called the substantia nigra. Medical Expert System technique is a solution of this problem. This paper summarizes regarding the classification of Parkinson’s disease by using adaptive neuro fuzzy inference engines. The learning focuses on diagnosis of P.D. by using adaptive neuro fuzzy inference system(ANFIS). The outcome obtained by fuzzy inference system is evaluated. MATLAB toolbox is designed for the simulation of the model. This also confirms that adaptive neuro is better option in which we use the symptoms of the patient which is suffering from Parkinson’s Disease and get a result.

Published by: Pawanpreet Kaur, Harshdeep Trehan, Varinderjit Kaur, Dr. Naveen Dhillon

Author: Pawanpreet Kaur

Paper ID: V3I3-1498

Paper Status: published

Published: June 10, 2017

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Wear characterisation of thermal spray coatings on Stainless Steel 316 L

Thermal spray coating process is a surface modification technique in which a coating material like cermet’s, metallic, ceramic and some other materials in form powder are feed into a torch or a gun, the powder inserted into torch will be melted by high temperature developed by torch. Coating thickness can achieve by applying multiple layer of melted coated material. This paper aims at the study of mechanical characterisation of thermal spray single layer and multi-layer coatings. Coatings on SS 316L is followed by the wear test .It has been found that the wear rate of base metal i.e. SS 316L is more than single layer and multilayer coatings of Ni-30Cr powder (. The multilayers have shown the maximum resistance to the wear rate.

Published by: Hitesh Saini, Pardeep Singh

Author: Hitesh Saini

Paper ID: V3I3-1497

Paper Status: published

Published: June 10, 2017

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Microstructural Characterisation of Thermal Spray Coatings on Stainless Steel AISI Ss-316 L

Thermal spray coating process is a surface modification technique in which a coating material like cermet’s, metallic, ceramic and some other materials in form powder are feed into a torch or a gun, the powder inserted into torch will be melted by high temperature developed by torch. Coating thickness can achieve by applying multiple layer of melted coated material. This paper aims at the study of microstructural characterisation of thermal spray single layer and multi-layer coatings. Coatings on the substrate were followed by Scanning electron microscopy to know the different phases present in the coated as well uncoated SS 316L. By seeing SEM result it’s found that single layer coating is not done properly. As compared to SEM result of single layer coated AISI 316 L multilayer SEM results is more accurate, there is no crack on the coating surface and there is much less porosity in the multilayer coated sample.

Published by: Hitesh Saini, Er. Pardeep Singh

Author: Hitesh Saini

Paper ID: V3I3-1496

Paper Status: published

Published: June 10, 2017

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QR Code Based Image Steganography

Image Steganography is the process of embedding secret data in images such that its existence cannot be detected by others apart from sender and the receiver. The present work focus on combination of cryptography and steganography to secure the data while transmitting over the network. This paper presents image steganography using Block based Discrete Wavelet transform for embedding of encoded secret message using Quick Response Code (QR) code into image while embedding process is further protected by Advanced Encryption Standard (AES) cipher algorithm. Efficiency of the proposed method was measured by Peak Signal-to-Noise Ratio (PSNR) .

Published by: Ashwini Warang, Dr. Archana Patankar

Author: Ashwini Warang

Paper ID: V3I3-1417

Paper Status: published

Published: June 8, 2017

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Designing and Performance Evaluation of Digital Video Tide-Marking Using 3D DWT Technique

Digital tide-marking is a way or technology that hides statistics right into a digital media. It’s far a two-manner which entails embedding and extraction. Video tide-marking approach is by some means much like picture tide-marking. This mechanism is used to overcome the hassle of security, copyright and content authentication of the digital media. The goal of this scheme is to create a tide-marking device to make a video comfier. In this paper, we proposed a virtual video tide-marking method with multi-degree discrete 3-D wavelet transform using MATLAB. Inside the proposed method, first, the video frames are extracted from the host video. Then, each body gets watermarked with multi-level discrete 3-D wavelet transforms the use of a key which is also known as embedding. After that, each watermarked video body get reconstructed. Watermarked video is obtained after reconstruction of watermarked video body. The effectiveness of body is evaluated using body satisfactory measures in opposition to some attacks.

Published by: Shekhar, Chetan Marwaha

Author: Shekhar

Paper ID: V3I3-1471

Paper Status: published

Published: June 7, 2017

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