Volume 10 | Issue 2 |

 Abstract

Abstract Counterfeit products are global problem affecting the pharmaceutical industry and others. They are quickly becoming a major threat of our society. The production of personalized items and early prototypes became an easy task for everyone with the arrival of affordable 3D printing solutions and free, user-friendly 3D modeling software, the question of how to provide additional information to the printed shapes came up again. The proposed system can be conveniently implemented with a Fused Deposition Modelling 3D Printing Machines and Smartphones. The 3D printed QR-Code was adopted with the sole aim of eliminating the problem of duplicating and cloning of anti-counterfeit tag. An investigation on the unavoidable and unmanageable process variation on the 3D printing Mechanism was conducted. Evaluations show that the proposed model would outperform the existing system up to 85%.

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 Keywords

Keywords: QR code, unclonable, anti-counterfeit, Unmanageable Process Variation, 3D Printing, Additive Manufacturing, Mobile Authentication Service.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

It would be better if stats data on heart disease could be added here. For eg. According to WHO the number of people is reported to be suffering from heart disease, making it the most common disease worldwide. As we know that sometimes the lifestyle of human beings suffers from stress, anxiety, and depression, etc. The Detection of this disease is quite difficult in advance and it is challenging in medical science. The target of this paper is to understand certain machine learning models (MLMs) detection accuracy with classification techniques and limitations. Many researchers used certain machine learning models called classification techniques like naive bays (NB) decision tree (DT), Cooperative Neural-Network Ensembles (CNNEs) logistic regression (LR), Support Vector Machine (SVM), Least Square Twin Support Vector Machine (LSTSVM), k-Nearest Neighbor (KNN), Bays Net (BN), Artificial Neural Network (ANN) and Multi-Layer Perception (MLP).in general, we have a total of 50+ Features Attributes in the dataset. And we select the most appropriate features to detect the disease by using different features selection techniques to improve the accuracy. Maximum classification accuracy of 96.29% was achieved and we need to improve the accuracy with a minimum amount of time and try to develop single MLMs for detection and selection of precise features to improve the accuracy. Many researchers use hybrid approaches to combine two or more classification techniques (based on selected symptoms and features of a human being) in the layered form to improve the accuracy in terms of percentages. Sometimes it's not more effective and time-consuming. Hence, we need to develop flexible MLMs with feature selection and reduction techniques. Thus, the present study is focused on improving the accuracy. Also, include future perspectives or applications of your study.

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 Keywords

Multi-Layer Perception, naive bays, Support Vector Machine, Artificial Neural Network, K-Nearest Neighbor, Cooperative Neural-Network Ensembles, The least Square Twin Support Vector Machine.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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The main objective of this research study is to evaluate the impact of socio-economic factors (gender, age, and income) and their various interactions on the preferences of youth towards purchasing branded clothing. Gender, age and income are the three independent variables and preferences of youth towards purchasing branded clothing is the dependent variable for this study. The data for the study were gathered from 435 youths in Nagpur city through a well-structured and self-administered questionnaire. The proposed relationship was investigated empirically by performing three-way ANOVA. Analysis was done using Statistical Package for Social Sciences (SPSS). This study used availability and purposive sampling techniques for selecting the samples of youth from Nagpur city. The results of three-way ANOVA analysis show that, from the three independent variables: age, income and gender; only income is found to be significantly affecting the preferences of youth towards purchasing branded clothing. The various interaction effects were also found to be non-significant. Therefore, the research concludes that monthly household income of youth significantly influences the preference of youth towards purchase of branded clothing.

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 Keywords

Social factors, Economic factors, Youth, Branded Clothing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Rabha is one of the aboriginal tribes of Assam. This paper is study that focus on festivals of the Rabha tribe which celebrate at Chandubi , district of Kampur, Assam, India. This paper tries to examine Rabha people use traditional food habit, Dress and music of their festival.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

The Rabha, Food, Dress, Music

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Creative Commons Attribution 4.0 and The Open Definition

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Recently, a huge family of various viruses, the coronavirus, has become widespread, contagious and dangerous to all humankind. By exhaling the infected breath, it spreads from person to person, leaving droplets of the virus on various surfaces and being inhaled by others to catch the infection. Therefore, it is important to protect the people around the place from this deadly virus. Everyone should take precautions such as social distance, hand washing every two hours, disinfectant use, social distance, and the most important thing about wearing a mask. Wearing masks in public places is now widespread all over the world. Extreme population of India in a small area has been the hardest and most devastating. This paper proposes a method for recognizing whether masks are turned on in offices and other workplaces with many people. The project used a convolutional neural network for the resolving this social issue. The model is trained on a real dataset and tested with live video streaming with honest accuracy. In addition, the accuracy of the model is perfected by various parameters and several people at different distances and frame positions.

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 Keywords

Face Mask Detection, Convolutional Neural Network, MobileNetV.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Information technology refers to the application of computer or other electronic devices to store, study, retrieve, transmit and manipulate data or information, often in the context of a business or other enterprise. The term is commonly used as a synonym for computers and computer networks facilitating techniques of processing, storing, retrieving and transmitting information to serve our day to day needs. A banking system is a group or network of institutions that provide financial services for us. These institutions are responsible for operating a payment system, providing loans, taking deposits, and helping with investments. Banking environment has become highly competitive nowadays. To be able to survive and grow in the changing market environment banks are going for the latest technologies coping with the dynamics of a fast changing market scenario. No doubt banking services have undergone a dramatic change with the use of information technology. Information technology has enabled banks to strengthen and standardize their infrastructure in respect of security, communication and networking. The use of interactive electronic links via internet has paved the way in providing customers with greater level of information about their own financial position and about the services offered by the bank. This present paper seeks to analyze how far common people have upgraded themselves to reap the benefits of information technology in respect of available banking products and services. What the scopes are there to reap the benefits to the optimum extent. What the remedial measures to be taken to improve the present scenario.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Information Technology, Banking, Security.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The advanced numerical climate models cause an enormous challenge for scientists in weather predictions, particularly for tropical system. This paper is concentrated on presenting the importance of weather prediction victimisation machine learning ?ML? technique. The prediction results supported the random forest milliliter model area unit compared with statistical procedure models and SVM milliliter model. Compared to regression models and SVM milliliter model, the prediction results of random forest milliliter model area unit a lot of correct. foretelling is determination of the correct values of weather parameters and furhermore the longer term atmospheric phenomenon supported these parameters. during this study completely different we tend toather parameters were collected then victimisation Random Forest Model we predict the longer term atmospheric phenomenon victimisation temperature knowledge. once coaching Random Forest model victimisation these parameters the prediction of future weather is completed.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Climate models,Random forest method,Prediction of future weather.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cosmetics, cream,Preparation,stability,solubility

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The consumer's perception of a brand is based on their engagement and experience with it. It's a set of beliefs about a particular brand. The brand image of a product influences the consumer's decision to buy it and plays a vital role in the consumer's decision-making process. People's trust, experience, effects, side effects, consumption technique, and availability all play a role in determining the brand image. The impact of brand image of OTC products on customer purchase behaviour in Katni city will be investigated in this study. The goal of this research is to assist the manufacturer in determining their marketing strategy and understanding the city's market culture.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

OTC products, Brand image, Pharmaceutical, Drugs, Brand influence.

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Creative Commons Attribution 4.0 and The Open Definition