NCCT - 2018
National Conference on Convergence of Technology
(Feb 23 - 24, 2018)
Organized by
Vishwabharati Academy's College of Engineering, Sarola Baddi, Ahmednagar, Maharashtra, India.

Abstract-Early detection of damage is of special concern for engineering structures. The traditional methods of damage detection include visual inspection or instrumental evaluation. A crack in a structural member introduces local flexibility that would affect vibration response of the structure. The presence of damage leads to changes in some of the lower natural frequencies and mode shapes.

Damage detection is one of the important aspects in structural engineering for safety reasons. Main problem is to detect existence of a crack together with its location and depth in the structural member. Proposed method based on some set of fuzzy rules obtained from the information supplemented by Experimental FFT Analysis, and Finite Element Analysis. The Fuzzy controller use comprises of three input variables.

Abstract— Green Supply Chain Management has appeared as an environmental innovation which integrates environmental concerns into supply chain management. It shows that Green Supply Chain Management is the advance change to improve to conventional supply chain management method. To facilitate the growth of Green Supply Chain Management some implementation guidelines to help academicians, researchers, and practitioners in better understanding

integrated Green Supply Chain Management with Internet of Things to enhance growth and effectiveness and improved customer satisfaction. The purpose of the paper is to briefly review the research status of the Internet of Things as applied to supply chain management and the concept of the Green Supply Chain Management and also determine the new direction area of this emerging field.

Abstract-Health care industry comprises of data which are frequently enormous and mixed in the fact that it contains diverse variables and missing values too for some attributes. These days, learning from such large data has turned into an important task. Recognition of illness is an essential however it is an unpredictable undertaking as it needs to consider a large number of parameters that should be performed minutely and the right computerization or automation is extremely attractive.

Each individual can't be similarly capable as it requires a considerable measure of aptitude like as specialists. A computerized framework is required for improvement in medicinal care and it can likewise lessen the cost of treatment. In this project, we have developed a system that can productively analyze the infection with respect to the given parameter about patient's health. Data mining can be utilized to build models from social health care industry.

Abstract— In this work we focused on characterization of the distinct spectral features of cotton and maize crops from EO-1 Hyperion data extracted at canopy levels at the mature stage of their life cycle. Six Narrowband Vegetation Indices were examined. These indices are focuses on the reflectance at a wavelength which is sensitive to chlorophyll, carotenoid and anthocyanin pigments of crops

As both crops are of different internal pigment status and structure, Here we have analyzed the values of these indices obtained from EO-1 Hyperion data by using statistical t-test to highlights the differences within this groups, and found that there is significant difference in the response of PRI, SIPI, CRI-1 and ARI-2 whereas CRI-2 and ARI-1 gives slightly similar response for cotton and Maize crops.

Abstract-In this research paper is study of multimodal biometrics system. The template generates process of Face, Fingerprint and Iris database for multiple samples. The created database has using match Score level fusion technology for matching template data and test data. In this study is used in various applications for authentication and identification system.

The match process for this study the iris is minimum error rate for matching. The unimodal drawback is removed using multimodal system. The unimodal drawback as like noisy data, inter class ete. The multimodal fusion provides the security of dataset in biometrics. Keywords — Face, Fingerprint, Fusion Level, Iris Recognition, Multimodal, Unimodal.

Abstract— The basic parameters like viscosity (η), density(ρ) and velocity (U) can be measured by ultrasonic Interferometer. From these three parameters various thermo dynamical and acoustical parameters such as specific acoustic impedance (Z), Intermolecular free length (Lf), adiabatic compressibility ‘s (β) etc can be n estimated using standard relations from measured values of Ultrasonic viscosities

densities and velocities in the wide range of concentrations at 350 C, 400C and 450C temperatures for Acetone + Propanol-2 + chloroform tertiary system. The solvent-solvent interactions are studied on the basis of increase or decrease in ultrasonic velocity, density, viscosity and other derived acoustical parameters in terms of structure making and structure breaking tendencies of various solvent molecules.

Abstract-Shopping is one of the essential part of our daily life.[5]This paper analyzes the Online Shopping behavior through Mobile Application in Kolhapur with a sample size of 100 respondents comes from different age, Education & Budget groups. Further this paper focus on the respondent’s behavior regarding the preferred purchase items, most important factors which effects on the shopping decision and satisfaction level towards products and services offered by the Online Shopping Mobile Applications.

Statistical analysis reveals that the behavior of the respondents is vary to a large extent according to age, their Education and Budget. Research ends with the findings as clothing’s & footwear items are most purchased , product quality & brand are the most important factor which affect on purchase decision, and respondents are highly satisfied towards products and services offered on online mobile shopping Apps.

Abstract— An identification of plant species is essential for many applications such as plant species classification along with its current status and yield estimation. In the present paper, we have investigated the analysis of chlorophyll content of three different types of plants with healthy & dry leaves (Synygium Cumini, Adhatola Zeylanica and Azadirachta Indica) using values of the spectral indices

The variations Chlorophyll a, Chlorophyll b and Carotenoid content of healthy and dry leaves of plant based on spectral indices were determined. The statistical analysis has been done through open source software based on python. The hyperspectral data was acquired of plants healthy and dry using ASD devices.

Abstract-In the last two decades, biometric user authentication techniques for better access control and security have evoked an enormous interest from industry, science and society. Environmental factors, i.e. illumination may vary in outdoor or semi-outdoor for face detection it is challenging task. Lighting conditions vary with the outdoor environment, therefore in the face recognition system is concentrated on in the indoor environment in which illuminations is under controlled.

Normally faces are in the 3D format it may affect by the lighting variation. But the use of artificial illumination does not useful in the surveillance system. Hyper- Spectral is a technique firstly used to integrate spatial and spectral information for remote sensing; this data is very effective for material identification in scenes as compared to other sensing modalities.

Abstract— Social media today has becomes a very popular tool in society. Social media not only acts as a proxy for the real world society, it also offers a treasure trove of data for different types of analyses like Trend Analysis, Event Detection and Sentiment Analysis specifically deals with the task of Sentiment Analysis in Twitter. Sentiment Analysis in social media in general and Twitter in particular has a wide range of applications Companies/services

can gauge the public sentiment towards the new product or service they launched, political parties can estimate their chances of winning the upcoming elections by monitoring what people are saying on Twitter about them, and so on. Social media is a rich source of data for opinion mining and sentiment analysis. In this paper we use the twitter data of Indian Budget and predict the sentiment analysis.

Abstract-The issue occuring driving home from a weekend vacation. It's late at night, and the winding two-lane road has no streetlights. You approach a curve at 60 kmph -- slow enough to make the turn, but too fast to stop suddenly if you need to. There is waiting an obstracle, just beyond the range of your headlights. Standard headlights shine straight ahead, no matter what direction the car is moving. When going around curves, they illuminate the side of the road more than the road itself.

The lights will turn their beams around each bend in the road, giving you a better view of what's ahead. Improved night driving isn't a trivial matter -- over 46 percent of fatal accidents in 2006 occurred at night, a number much higher than the proportion of driving done at night . In this project, we'll develop how "Headlights Tilting According to Steering" differ from standard headlights and make it possible that they can make nighttime driving safer.

Abstract— In this paper we mainly described the standard of design and development of 3D Face and 3D Ear database of same person using multisensory approach. The important concept is like acquisition, collection, position, distance, illumination, and sensor standard. In available existing database of 3D Face and 3D Ear they use a six position and one sensor and in our database we use 10 positions and 2 sensors

We developed our own database using two different sensors in low cost. We follow ANSI-NIST-ISO Standard. The Database is useful for those who want to do the research in 3D Face and 3D Ear Recognition and as compare to existing database our Database is more in positions as well as sensors, because we enhance the positions of capturing database using two different sensors.

Abstract-The issue occuring driving home from a weekend vacation. It's late at night, and the winding two-lane road has no streetlights. You approach a curve at 60 kmph -- slow enough to make the turn, but too fast to stop suddenly if you need to. There is waiting an obstracle, just beyond the range of your headlights. Standard headlights shine straight ahead, no matter what direction the car is moving. When going around curves, they illuminate the side of the road more than the road itself.

The lights will turn their beams around each bend in the road, giving you a better view of what's ahead. Improved night driving isn't a trivial matter -- over 46 percent of fatal accidents in 2006 occurred at night, a number much higher than the proportion of driving done at night . In this project, we'll develop how "Headlights Tilting According to Steering" differ from standard headlights and make it possible that they can make nighttime driving safer.

Abstract— In this paper we mainly described the standard of design and development of 3D Face and 3D Ear database of same person using multisensory approach. The important concept is like acquisition, collection, position, distance, illumination, and sensor standard. In available existing database of 3D Face and 3D Ear they use a six position and one sensor and in our database we use 10 positions and 2 sensors

We developed our own database using two different sensors in low cost. We follow ANSI-NIST-ISO Standard. The Database is useful for those who want to do the research in 3D Face and 3D Ear Recognition and as compare to existing database our Database is more in positions as well as sensors, because we enhance the positions of capturing database using two different sensors.