Volume 11 | Issue 10 |

 Abstract

Vedic India respected women. In 200 B.C., the ancient Indian lawgiver Manu stated, "Where women are revered, the gods are delighted; but where they are disrespected, no holy ritual is beneficial." Before the ceremony, the groom may make a vow to the bride. As a mother, wife, and sister, she was held in high regard. She symbolizes bravery, love, sacrifice, and suffering. Women, who make up almost half of the country's population, have been denied development prospects on purpose in the guise of religion and socio cultural customs. As a result of many repulsive practices, conventional rigidities, and depravities, the condition of women in society was dismal. The widespread illiteracy, forced child marriage, complete denial of individuality, economic dependence, heavy domestic work-load that remained unpaid and unrecognized, absence of career and mobility, non-recognition of their economic contribution, poor working conditions and wages, and monotonous jobs, etc., were to blame for their pitiful conditions Due to social, economic, and political issues, women have lost respect. The practices of Sati, Purdah, child marriage, and dowry humiliated women both within and beyond the house. Sexual harassment in the workplace, kidnapping, and female foeticide have resulted in horrific social behavior, and the majority of dependent women have lost their identities.

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 Keywords

Ancient, Medieval, Manu, Women, Opportunities, Growth.

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 Abstract

To understand images and extract useful information from images to finish some works is an important part in digital image technology and for understanding the image, image segmentation is a first step. Image segmentation has an important part in image processing. Segmentation is the process of partitioning a digital image into multiple regions. Extraction of a meaningful region known as the region of interest. Region of interest used to avoid the processing of irrelevant image points and speed up the processing. Threshold-Based Segmentation method divides pixels based on their intensity relative to a given threshold. Thresholding algorithm suitable for segmenting with higher intensity. Hence the success of extraction of ROI of the image processing applications, in this paper image segmentation process algorithm i.e. Otsu algorithm using MATLAB is presented.

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 Keywords

Image Segmentation, MATLAB, Region of Interest, Threshold

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 Abstract

Face Detection is the greatest technology in the Artificial Neural Network to identifying and validating the important features of Human faces in a few second. Face Detection is the fundamental technology to identifying the criminals, to Recognize faces and to analysis of faces. Face detection technology in Artificial Neural Network makes possible to protect our private data by strong security and authentication process in our mobile phone through the Face detection lock. Face detection system used at all authenticated places for the strengthen security measures. In this paper, proposed algorithm Cascade Object Classifier strongly detect each and every Object, all type of Face with its position and angle at all location and detect face with and without mask accurately. In this paper the proposed methodology detect faces very fast and identify correct features of image.

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 Keywords

Casacade Object Classifier, Face Detection, Strengthen Security

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rapid urbanization and technological advancements of the 21st century have given rise to the concept of smart cities, where innovative technologies are harnessed to create urban environments that are efficient, sustainable, and livable. This abstract delves into the design and implementation of a comprehensive Big Data model tailored to improve the quality of life in smart cities. By leveraging the power of data analytics, this model integrates diverse urban data sources, enhances infrastructure efficiency, fosters citizen engagement, and promotes a holistic approach to urban development. The Big Data model integrates data from various sources such as sensors, social media, public records, and city infrastructure. By employing advanced analytics, patterns and trends within this data are identified. This integration provides city planners with valuable insights into areas such as traffic flow, energy consumption, waste management, and public services usage. The model utilizes predictive analytics to optimize smart city infrastructure. By analyzing historical and real-time data, it anticipates future demands on resources such as energy, water, and transportation. This proactive approach enables efficient allocation of resources, reduces wastage, and ensures the sustainability of essential services.

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 Keywords

Predictive Urban Planning, Smart Infrastructure, Data Privacy, Community Engagement, Real-time Data

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The proliferation of online e-transactions has revolutionized commerce, offering unprecedented convenience and efficiency. However, the digital landscape is rife with cybersecurity threats, making robust security measures imperative to safeguard online transactions. This abstract introduces a comprehensive framework designed specifically for the prevention of various attacks in online e-transactions. Grounded in advanced cryptography, real-time monitoring, and adaptive algorithms, this framework provides multi-layered security, ensuring the integrity, confidentiality, and authenticity of digital transactions. By addressing vulnerabilities inherent in online environments, this framework stands as a bulwark against cyber threats, fostering trust and confidence in the digital marketplace. The framework employs state-of-the-art cryptographic protocols and encryption techniques to secure sensitive transactional data. Utilizing asymmetric and symmetric encryption algorithms, it ensures end-to-end data confidentiality, thwarting eavesdropping attempts and data breaches during transmission. Multi-factor authentication mechanisms, coupled with biometric verification, enhance user authentication processes. By incorporating factors such as passwords, smart tokens, and biometric markers, the framework establishes robust user identities, mitigating the risks associated with unauthorized access and identity theft. The framework integrates real-time threat monitoring and anomaly detection systems. By analyzing transaction patterns and user behavior, it swiftly identifies deviations from the norm, signaling potential security breaches. Timely alerts enable proactive response, preventing fraudulent activities and ensuring transactional integrity.

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 Keywords

Online e-transaction security, Cybersecurity framework, Attack prevention, Cryptographic protocols, Encryption techniques

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 Abstract

At present, contaminated water bodies becomes a global environmental issue. In current situations, it receives a escalating interest throughout the world, because of its adverse impacts on human health, aquatic floara and fauna and on all over quality of healthy environment. Along with increased urbanization and industrialization use of water is also increased all over. Most of the areas from urban and rural area receives polluted drinking water. Present study focus on the water quality status of Indrayani river in district Pune. To monitor the water quality status of this river, some important parameters were analyzed such as, pH, Dissolved oxygen, Biological Oxygen Demand, conductivity, Total Solids, Total Dissolved Solids etc. the results from this study indicates that the continuous water quality monitoring is necessary in study area.

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 Keywords

Water quality, Dissolved oxygen, domestic waste, industrial effluent

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 Abstract

CNN BASED METHODS FOR CROWD COUNTING – A COMPREHENSIVE STUDY

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CNN BASED METHODS FOR CROWD COUNTING – A COMPREHENSIVE STUDY

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 Abstract

The students can learn critical thinking skills by seeing profits and losses based on their analysis, in the (simulated) financial markets. For experiential learning, making use of financial markets makes students realise that there is a lot to learn regardless of the fact that they are already becoming aware of the things that take place in financial markets. The rationale for conducting a study to determine the investment behavior of students in the stock market using trading simulation software can be based on several important factors and goals. In the present study, 'edinvest.in' has been employed in order to affect the online trading stock market simulation. It was observed that the serious or educated investors are likely to get better returns through stock trading and the speculative investors are exposed to a relatively higher degree of risk compared to their educated counterparts. Simulation software like 'InvestEd' can be very helpful in not only educating students on the risks involved in stock trading but also training them on how to get maximum return from online trading.

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Trading Simulator

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Krimi is a very common health issue in a Pediatric age group and is widely prevalent in areas of low environmental quality and people of low nutritional status. In India, the problem is likely to be more common because of poor hygiene, lack of awareness, illiteracy, poverty and variety of allied factors. Krimi is an important disease described in ayurvedic science and is described in detail with respect to its etiology, clinical features and treatment. The term krimi is used to denote tiny organisms which reside in human body. Concept of krimi and their relation in the development of disease is described in almost all ayurvedic samhita. Acharyas also describe krimi as an etiological factor in various diseases. 8 year old female child, having complaints of abdominal pain, loose motions, vomiting, perianal itching associated with worms in stool was treated with krimighna basti and changes were noted in abdomen pain, perianal itching, loose motions and genral appearance of the patient. The details of the findings are presented in this study report.

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 Keywords

Krimi, Krimighna basti, worm infestation

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 Abstract

BUILDING A WEB-BASED PLAGIARISM SYSTEM USING ABSTRACT SYNTAX TREE AND GREEDY STRING TILING ALGORITHM

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Creative Commons Attribution 4.0 and The Open Definition

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BUILDING A WEB-BASED PLAGIARISM SYSTEM USING ABSTRACT SYNTAX TREE AND GREEDY STRING TILING ALGORITHM

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Creative Commons Attribution 4.0 and The Open Definition