Volume 11 | Issue 5 |

 Abstract

The main aim of our project work is to develop a MATLAB based Simulation model for analyzing 3- phase symmetrical and unsymmetrical faults. Generally, these faults are occurred in the long transmission line system such as single line to ground fault (L-G), double line to ground (2L-G), triple line to ground fault (3LG) and Line to line fault (L-L). Fault analysis for different sorts of faults has been done and it impacts are appeared in simulation output e.g. voltage, current. This research approaches to the MATLAB software in which transmission line modal is simulated. The analysis will be based on a 110KV, 100km, 50HZ 3 Phase Transmission Line deigned for 500KVA. The system behavior in case of fault and fault current limitation techniques are also studied and developed in this project.

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 Keywords

Transmission Line, MATLAB, 110KV, Fault Analysis

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Parkinson's disease (PD) is one of the more common neurodegenerative disorders, with two stages of progression: normal and severe. With all of the shortcomings in clinical settings, identifying the stage of PD severity and predicting its progression course can be difficult. As a result, it appears that there is an increasing need to use supervised and unsupervised artificial intelligence and machine learning methods on clinical and paraclinical datasets to accurately diagnose Parkinson's disease, identify its stage, and predict its course. MRI-related data are regarded as useful in detecting various pathologies in the brain in today's neuro-medicine practises. Furthermore, the field has recently seen an increase in the use of deep learning methods in image processing, often with excellent results. In this study, we used Artificial Neural Networks (ANN) to develop a model for distinguishing different stages of Parkinson's disease. The results demonstrated that our current MRI-based CNN model could potentially be used as a suitable method for distinguishing PD stages with a high accuracy rate.

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 Keywords

Parkinson's disease, Artificial Neural Network (ANN), MRI images, Convolutional Neural Network (CNN)

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 Abstract

Since it is a branch of general pragmatics, clinical pragmatics that deals with identifying, evaluating and treating speech impairment is supported by the principles and theories of the general pragmatics such as speech acts and relevance theory as a domain or framework within which many researchers can build their concepts to distinguish different groups of language disorders. Since communication is the ability to send and received information, express and understand feelings and thoughts, any barrier prevents people to socialize verbal or nonverbal cues impairs or break down the process of communication. In case meaning that is conventionally encoded in the used linguistic form is disordered or not understood, turns during conversation can't be taken correctly and joining verbal communication with nonverbal techniques is difficult, pragmatics is disordered

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 Keywords

Clinical, pragmatics, cognitive and neurophysiology

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Data sharing is an important functionality in cloud storage. In this paper, we show how to securely, efficiently, and flexibly share data with others in cloud storage. We describe new public-key cryptosystems that produce constant-size cipher texts such that efficient delegations of decryption rights for any set of cipher texts are possible. The novelty is that one can aggregate any set of secret keys and make them as compact as a single key, but encompassing the power of all the keys being aggregated. In other words, the secret key holder can release a constant-size aggregate key for flexible choices of cipher text set in cloud storage, but the other encrypted files outside the set remain confidential. This compact aggregate key can be conveniently sent to others or be stored in a smart card with very limited secure storage. We provide formal security analysis of our schemes in the standard model. We also describe other application of our schemes. In particular, our schemes give the first public-key patient-controlled encryption for flexible hierarchy, which was yet to be known.

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 Keywords

Data sharing, public key Cryptosystem, Encryption, Decryption, Aggregate key

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The facial feature discovery is a very essential task in ethnical group face recognition. In this paper, we have found ethnical group face dataset which includes Asian, Black, Indian, Latin. We used real time face image to recognize the ethnicity group. Every ethnicity group has their own characteristics and facial features. Therefore, we considered the particularly four ethnical groups in that we intended to find the similar characterizations in some of the ethnical groups. According to the geographical location human facial information will vary, so we have collected data from various regions and that helps to give us the exact result. In this report we exploit the range information of human faces for ethnicity identification using Deep learning. This project is proposed to understand and analyses the relation between the ethnicity and ethnical groups, by combining registered range and intensity images. We trained images and we managed to give a precise result. This work helps to analyses the facial features evolution in anthropology (the study of human societies and cultures and their development.) the proposed integration scheme outperforms each individual ethnicity.

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 Keywords

Facial feature, Ethnicity detection, Anthropology research, Image processing, Convolutional Neural Network

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The main aim of this project is to reduce the traffic congestion in our daily life. The problem with Static Road Dividers is that the number of lanes on either side of the road is fixed which cannot be varied. Since the resources are limited and population as well as number of vehicles per family is increasing, there is significant increase in number of vehicles on roads. This calls for better utilization of existing resources like number of lanes available without any additional resources. The situation is worse when an emergency vehicle has to wait for other vehicles to give way at intersections with traffic lights.

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 Keywords

IR Sensor , Arduino Microcontroller, RFID sensor, Stepper Motor

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 Abstract

The every shopping store there will be a regular trolley, which is used for carrying products. However, using a regular trolley is good but after selecting the products customer will be waiting for a long time in the billing section. Instead of that, customers can use a smart trolley for an easy billing process through an application. It works through an RFID tag and receiver to scan the product, LCD display is used to display the product in the trolley and it will list all the products which the customer has chosen and the total amount. It can be paid through a mobile application. The major problem faced by visually impaired people is finding the products in the store, so the trolley has been infused with Bluetooth navigation to identify the product details. The proposed system is an attempt to automate, the billing process in a shopping mall and would be advantageous for the customer as well as for the shopkeeper in multiple ways.

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 Keywords

SMART SHOPPING CART

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study examines the impact of TV food advertisements on the eating habits of children in Tirupur city. The research aims to identify the frequency of exposure of children to food advertisements, their attitudes towards such advertisements, and the impact of these advertisements on their food choices. A sample of 200 children between the ages of 7 and 12 years from various schools in Tirupur city was selected for the study. Data was collected through a structured questionnaire, and the results were analyzed using descriptive statistics and chi-square tests. The findings suggest that TV food advertisements significantly influence the food choices of children and contribute to unhealthy eating habits. The study recommends that parents and caregivers should monitor and regulate the exposure of children to food advertisements, and the government should implement regulations to restrict the advertising of unhealthy foods during children's programming.

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 Keywords

TV Food advertisements, children, eating habits

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Neurodegenerative diseases (NDDs) are a group of disorders that result in progressive loss of neurons and their functions. Currently, there is no cure for NDDs, and the available treatments are mostly focused on managing symptoms. However, natural products have shown promise as potential treatments for NDDs due to their ability to modulate multiple targets and their safety profile. In this review, we summarize the current state of research on natural products as potential treatments for NDDs, including their mechanisms of action, preclinical and clinical studies, and future directions. We highlight the potential of natural products as a source of novel therapeutics for NDDs and the need for further research to better understand their therapeutic potential. Neurodegenerative diseases (NDDs) are a group of disorders characterized by the progressive loss of neurons and their functions. They include Alzheimer's disease (AD), Parkinson's disease (PD), Huntington's disease (HD), and amyotrophic lateral sclerosis (ALS), among others. NDDs affect millions of people worldwide and pose a significant burden on healthcare systems. The current treatments for NDDs are mostly focused on managing symptoms, and there is no cure for these diseases. However, natural products have shown promise as potential treatments for NDDs due to their ability to modulate multiple targets and their safety profile. Natural products are chemical compounds derived from plants, animals, or microorganisms, and they have been used for centuries in traditional medicine to treat various ailments. Several natural products have been studied for their potential to treat NDDs. Resveratrol, a polyphenol found in grapes and red wine, has also been shown to have neuroprotective properties and can improve cognitive function in animal models of AD.

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 Keywords

Neurodegenerative Diseases, neurodegenerative diseases, natural products, potential treatments, resveratrol, EGCG, antioxidant, anti-inflammatory, alpha-synuclein, ginkgo biloba, Ashwagandha, neuroprotection, cognitive function.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This design paper presents a social media platform for tourists and agencies to connect and discover travel plans. The platform allows users to create and upload their travel plans as posts, which are displayed based on user interests and activities. Users can optimize their travel path and receive personalized travel recommendations through the integration of the ChatGPT API. The platform also showcases trending tour posts to tourist agencies, allowing them to connect with interested users and provide tour packages at nominal prices. The paper highlights how the platform enhances the tourism experience by facilitating the discovery of trending tours, connecting users with relevant tourist agencies, and enabling users to experience the best of what tourism has to offer.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Social media platform, tourists, agencies, travel plans, user interests, activities, personalized travel recommendations.

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Creative Commons Attribution 4.0 and The Open Definition