Manuscripts

Recent Papers

Research Paper

Age detection system based on web browsing pattern

Today almost everyone around the globe uses the internet. These internet users have different attributes like age, browsing behavior, gender, location, etc. that plays an important role for different business enterprises to target their users and also helps in providing the better user experience. Earlier researchers demonstrate that the user browsing behavior is related to their basic attributes. In this project, an approach has been used to detect the age group of users based on their browsing patterns using a data mining algorithm. Age information of different users is inferred using the web browsing behavior which varies for different users.

Published by: Shivam B. Rathod, Priyanshu Arora, Reshma Patil, Harshal R. Patil

Author: Shivam B. Rathod

Paper ID: V4I3-1731

Paper Status: published

Published: June 6, 2018

Full Details
Research Paper

Socio-demographic correlates on acute and chronic effect of cannabis on human cognition: A comparative outcome study

The current study aim was to examine the socio-demographic correlates on the acute and chronic effect of cannabis on human cognition. Methods: Based on purposive sampling method a group of 30 male acute cannabis patients and similarly 30 chronic cannabis patient selected. Results: Cut off points for all demographic correlates and cognitive dysfunction on human cognition Scores was significantly high as compared to acute cannabis group and its cognitive dimension (p<.001).

Published by: KM Parul

Author: KM Parul

Paper ID: V4I3-1743

Paper Status: published

Published: June 6, 2018

Full Details
Research Paper

Seismic analysis of plan and vertical irregularity of building with and without infill action using ETABS

Earthquake is the most expensive natural disasters human face. Strong earthquake in the wrong place at the wrong time can cause great financial damage and cost. And in the present stage, many buildings are irregular in shape means both plan and elevation irregularities earthquake effect on high rise building is more dangerous as compared to a regular building. To overcome the effect on the earthquake on a regular building, it is necessary to identify the performance of the structure to withstand against disaster against both new and existing one. In this paper, the behavioral study of 5 bays X 5 bays 8m each of G+7 building with a provision of lift core walls are done. The height of each storey is 3.2m and have irregular plan and elevation. In this study, cases like a bare frame, boundary infill, complete infill and soft storey at ground floor for each model are considered. All buildings are located in zone III. Linear dynamic analysis using response spectrum method of irregular building is carried out using ETABS 2016 Ultimate 16.2.0 by considering mainly three irregularities (1) Mass irregularity 2) Stiffness irregularity (3) Geometric irregularity. For this study, behavior parameter considered are (1) Eccentricity (2) Maximum storey displacement (3) Time period (4) Maximum storey acceleration (5) Storey shear.

Published by: Prathamesh Musale, Shivkumar Hallale, Vaishnavi Mahajan, Tanushri Mahajan, Snehal Barapatre, Rohan Shinde

Author: Prathamesh Musale

Paper ID: V4I3-1772

Paper Status: published

Published: June 6, 2018

Full Details
Case Study

Retinex processing for automatic image enhancement using wavelet transformation

Retinex is a method used for image processing. Image processing has a great role in Medical science. Medical images such as MRI, CT, Ultrasound, X-Ray has to be processed for proper diagnosis. Retinex technique can be used for the processing of these images. By retinex processing it can provide better dynamic range compression, color consistency and lightness rendition. The different methods proposed by Retinex algorithm include Light Compensation Algorithm in Color Facial Image, Retinex for bridging the gap between color images and the human observation of scenes, Color Image Contrast Enhancement by Retinex, Color Image Enhancement with Adaptive Filter. Single scale Retinex causes halation due to Gaussian filter and it does not preserve the edges. While the multiscale Retinex has a very high computational cost. So in this project, we propose retinex algorithm based on wavelet transformation which has low computational cost, i.e. it takes a lesser amount of time and higher efficiency. The input image is processed by wavelet transform. Here the Gaussian filter and retinex is applied only to the half the resolution of the image. Thus the computational cost is reduced as the number of pixels for processing is reduced and the gaussian surround space can be small. Histogram equalization is applied to improve the visual effect. Moreover, we gain higher entropy by using clipping and gain/offset operation. At last, we compare the proposed output with that of the standard MSR output. The experimental results show that proposed method provides satisfactory image enhancement without halation.

Published by: Lokesh B S, Rohini L, Sanjana R, Sharath C M, Varsha Basavaraj

Author: Lokesh B S

Paper ID: V4I3-1656

Paper Status: published

Published: June 5, 2018

Full Details
Research Paper

Optimization of machining parameters in CNC turning with varying of insert nose radius

The objective of the study is to evaluate the effect of machining parameters on the Material Removal Rate and Surface Roughness in CNC Turning by implementing Taguchi technique. Based on the Taguchi method, turning experiments were designed and conducted on Nylon rods. CNC Turning is a machining process which is used for removing the unwanted material from the cylindrical surfaces of the workpiece. In this era of manufacturing, Material Removal Rate (MRR) and surface roughness qualities are of primary concern. Taguchi method has been employed with an L36 orthogonal array. Four cutting parameters namely cutting speed, feed, depth of cut and Insert Nose Radius is selected. Two different values are selected for insert nose radius and three values are selected for each of the other parameters. Turning operations are performed for maximum Material Removal Rate and minimum surface roughness response values. The material selected for machining is Nylon which is a thermoplastic material and the tools used for machining are of rigid Cast Iron with solid carbide inserts and AP68 servo oil is used as the coolant. Material Removal Rate is calculated for 36 experiments and surface roughness values are measured. Taguchi method in MINITAB software is used for optimization and the optimum values of the four parameters namely cutting speed, feed, depth of cut and insert nose radius to obtain a combination of higher material removal rate and lower surface roughness.

Published by: B. Thaviti Raju, E.Lakshmi Devi, P.Satya Nnarayana Murthy

Author: B. Thaviti Raju

Paper ID: V4I3-1737

Paper Status: published

Published: June 5, 2018

Full Details
Research Paper

Blockchain to monetize retail operations

Data monetization strategy can be defined as a re-engineering of business data to create a measurable and positive impact on business revenue by making efficient use of data. There are mainly two forms to transform data into money. Firstly, provide access to organizational data and get the benefit of supplemental revenue stream which is also called as direct data monetization. Secondly, client data can be used to get insights and enhance customer services and operations which is called as indirect data monetization. As this monetization has become crucial for industries, data creators such as healthcare, retailers etc. are pursuing new and significant ways to monetize their data. At the same time, consumers who are actual contributors of data demands for access control over their public data to get knowledge about usage of their data in the market. A solution is constituted known as Blockchain technology. Even though blockchain is under execution for some business applications, it holds promising transformations in various businesses, the retail market is one of them where data flow continues and sensitive to day to day operations. This paper focuses on the optimization of customer data in retail management by using manually taken customer transactions and applying data analytical techniques along with blockchain. It emphasizes the significant usage of customer data in retail operations.

Published by: Sneha Anil Bhatkar, Sonali Ajankar

Author: Sneha Anil Bhatkar

Paper ID: V4I3-1730

Paper Status: published

Published: June 5, 2018

Full Details