Volume 11 | Issue 4 |

 Abstract

This study describes the design and implementation of a convolutional neural network (CNN)-based traffic sign detection and identification system. The number of accidents caused by failure to observe traffic signs and follow traffic laws has been steadily growing. The use of synthesized training data generated from road traffic sign pictures enables for the resolution of difficulties with traffic sign detection databases that differ between nations and regions. This technology is used to create a library of synthesized images for detecting traffic signs under varied lighting situations. With this data set and a perfect CNN, a data driven can develop, traffic sign recognition detection system that performs well throughout training and recognition operations and has a high detection accuracy. This reduces the likelihood of accidents and allows the driver to focus on driving rather than studying every traffic sign. The goal of this work is to present a practical approach for detecting and recognizing traffic signs in India. The proposed system comprises two main stages that is traffic sign detection and traffic sign recognition. In the detection stage, the system utilizes a CNN to identify regions of interest (ROIs) that potentially contain traffic signs. The recognition stage involves the classification of the detected ROIs using a CNN based classifier. The proposed system was trained and tested using a publicly available traffic sign dataset, achieving high accuracy rates in both detection and recognition stages. The system's performance was evaluated using various metrics, including accuracy, precision, recall and F1 score, demonstrating its effectiveness and robustness for traffic sign detection and recognition tasks. The results demonstrate the effectiveness and efficiency of the proposed system, which can be used for various real world applications, such as advanced driver assistance systems (ADAS), autonomous driving and traffic management.

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 Keywords

Traffic sign, detection, recognition, classification, feature extraction, convolution neural network, machine learning, deep learning.

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 Abstract

Osteoporosis is one of the metabolic bone disorder and remains and increasingly significant problem, affecting 200 million individuals worldwide. It affects men as well as women. One out of every two women and out of every fourmen over 50 is prone to develop osteoporosis - related fracture of the hip To assess the pre-test knowledge score of the college teachers regarding the prevention of osteoporosis. It was concluded that mean knowledge was found to be 92.86% from Pre -test to Post- test. The statistical Paired 't' test was found to be25.607* indicating significant enhancement of knowledge score from Pre- test to Post- test at P< 0.05 revealing the effectiveness of computer assisted teaching program on knowledge regarding prevention of osteoporosis among College teachers

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 Keywords

word computed assisted teaching , knowledge college, teachers

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Creative Commons Attribution 4.0 and The Open Definition

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The current study is an investigation on the financial performance of Tata Motors. Companies can assess their performance over the previous years through financial analysis, recognising their strengths and weaknesses and working to improve them. This analysis was carried out over the five years of the balance sheet and profit and loss account, 2018-2022. Secondary data obtained from the TATA MOTORS Company's annual report is used in this study. Therefore, it is important to assess financial performance in order to understand where businesses stand in the market and how they can strengthen their future growth and financial stability.

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Financial Performance, Ratio Analysis, Profitability Ratio, Liquidity Ratio,Solvency Ratio.

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This research paper explores the theme of Illusion and identity in the protagonist Edna Pontellier in Kate Chopin's The Awakening (1899), a work of American literature. The novel portrays the protagonist and her trapped marriage life in which she lost herself and lived her life half-awake bound by social norms. The study focuses on her attempts to challenge the dominant patriarchal system due to her culture's inability or unwillingness to give up its antiquated idealistic beliefs. Edna gets the realization that her life is not owned by her but created by societal demands and expectations. She understands that this delusion has hindered her from leading a life that is authentic to her and must awaken and confront the truth. She gives up her sophisticated life in exchange for freedom in order to achieve ultimate independence. Edna finally rejects the illusion of conformity and embraces her own desires and individuality highlighting her awakening and the pursuit of personal fulfilment.

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Keywords: Self discovery, idealistic beliefs, realization, societal demands, freedom, illusion, awakening.

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A study to assess the effectiveness of information booklet on knowledge about pregnancy induced hypertension and its self -care management among the mothers with pregnancy induced hypertension in selected hospitals, Patiala, Punjab. A experimental research approach and one group pre test and post test group design was used. The findings of the study revealed that Informational booklet was effective in increasing the knowledge score of samples i.e 17.77 of pre test knowledge score and post test knowledge score 23.37 were significant with t= 17.54 at p<0.05 level .

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 Keywords

Knowledge about Pregnancy induced hypertension and Information booklet.

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Examination stress among college students (10+2) has been a topic of interest for many years. Students experience high level of stress for many reasons such as lack of interest, lack of preparation, lack of information and pressure from their elders, seniors and teachers. When stress is perceived negatively or becomes excessive, it leads to anxiety before and during examination and ultimately affects their academic achievements. The present study was conducted to know the changes in dietary habits during examination stress among intermediate students. Further comparison was done to find out the level of stress felt by intermediate and seen changes in their eating habits during examination programme. The sample consisted of 72 students drawn using random sampling method from same schools girls and boys. A self-made questionnaire was developed to access examination stress and change in their dietary habits among college students (10+2). The result shows correlation between examination stress and anxiety of students. On comparing the stress and change in dietary habits among girls and boys it was found that students feel average high stress. There was no significant difference found in the stress and anxiety level of boys and girls.

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 Keywords

Stress, Dietary habits, Examination , Nutritional Intervention

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The stock market, as we know, is a very important trading platform that affects everyone at an individual and national level. The basic principle is quite simple: companies will list their shares in the company as small commodities called stocks. They do so in order to raise money for the firm. A company lists its stock at a price called the IPO, or initial public offering. This is the offer price at which the company sells the stock and raises money. The impact of many factors on stock prices makes stock prediction a difficult and highly complicated task. In this project, we propose a KNN algorithm for stock price prediction in order to overcome such difficulties. It is easy to predict stock market trends and prices by using the proposed method. KNN is used to predict future stock market indices by computing the k-weighted nearest neighbor from the historical dataset.

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Stock Market.prices.prediction,knn algorithm

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The paper discusses the author Zora Neale Hurston's insight on how a woman pursues her intention to find a right life partner for herself. It also deals how the protagonist Janie Crawford tries to find real love from the men in her life. Her quest for love is not satisfied with her first two husbands and she faces all the complexities in life. Finally, she tries to find solace in her relationship with her third husband Tea Cake but she loses him too. The paper also speaks of how she finds happiness in her loneliness at the end and of how she learns that she does not need a partner to love in fact, she can love herself.

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relationship, partner, solace, quest, happiness

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In recent years, an increasing concern of environmental issues of emissions, in particular global warming and the limitations of energy resources has resulted in extensive research into novel technologies of generating electrical Power. Thermoelectric power generators have emerged as a promising unconventional green technology due to their divergent Advantages Thermoelectric power generation offer a potential application in the direct conversion of waste-heat energy into electrical power where it is unnecessary to consider the cost of the thermal energy input. The application of this Alternative green technology in converting wasteheat energy unswervingly into electrical power can also improve the overall Efficiencies of energy conversion systems in this paper, background on the basic concepts of thermoelectric power Generation with waste material, their importance and relevant .this technology is also helpful to economically improvement of country we hope this technology creating the green environmental world.

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Solar Panels, Heating Sensor, Electrostatic Precipitator, Voltage Stabilizer

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Sleep-deprived driving is the operation of a vehicle while being cognitively impaired by a lack of sleep. Drowsiness is the leading cause of motor vehicle accidents and can cause serious injuries and can be fatal too. So we are developing a system to detect sleep as well as abnormal behavior linked to driving. This system will use a webcam to capture a video from which frames would be selected and it would undergo image segmentation to detect aspects of drowsiness like closing of the eyes as well as yawning. Also abnormal head movements would also be detected. We are developing this using python. Facial landmarks on the detected faces are pointed and subsequently the eye aspect ratio, mouth opening ratio are computed and depending on their values, drowsiness is detected. We will be implementing this setup via a simple webpage which will be accessible to both the user and the admin via their respective logins.

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 Keywords

Drowsiness

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Creative Commons Attribution 4.0 and The Open Definition