Volume 10 | Issue 7 |

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Android application, QR code scan, attendance, universities, smartphones, digital data.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Stock markets which function effectively fosters growth of the economy and development of the economy by promoting the channelization and mobilization of financial resources and by integrating those with the need of funds to bring up innovation and to achieve growth, with those who have resources to invest. This function of the stock market is being carried in a regulated environment ,along with secure and transparent trading platforms that also fosters transparent trade by securing the rights of investors and educating their employees to ensure good governance by providing all the information to the investors on timely basis. The NSDL and CDSL along with several depository participants play a major role to facilitate trade. However, despite playing a major role in the economy, the link between stock exchanges and the development of economy is not commonly understood and accepted. A prominent view in this regard is that when the stock markets develop it has a positive impact on the economy. The capital formation in an economy is the direct impact of efficiency in stock market and its development. Capital is required to produce goods and services and thereby leading to overall growth. Due to a predisposition that stock markets harm economic development due to the existence of volatility some theorists believe there is no link between stock markets and economic development. The objective of this study is to review literature and find whether there is a relationship between capital market development and economic development in Indian economy.

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Creative Commons Attribution 4.0 and The Open Definition

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Stock market

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Creative Commons Attribution 4.0 and The Open Definition

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- The aim is to identify object using the You Only Look Once (YOLO) method. Comparing this method to other identification algorithms, reveals that it offers limited benefits. In algorithms like Convolutional Neural Network(CNN), Fast-Convolutional Neural Network(FCNN) the algorithm does not take the picture totally, but using YOLO algorithm it takes the picture totally. The YOLO algorithm does the detection by using the bounding boxes. In these cases, the class probabilities make it easier to differentiate the image better when compared to other algorithms.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CNN, YOLO, Bounding Boxes, FCNN

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Creative Commons Attribution 4.0 and The Open Definition

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CCTVs are commonly used for surveillance almost everywhere in the world. Despite that, there are a large number of crimes happening due to the lack of a proper system to detect crimes or such types of behavior and control rates of illegal activities. Our project not only deals with detecting crimes from the video data received in real-time from CCTVs but also solves problems beyond this. Storing video data is a huge problem, and also it is less secure. Our application solves this problem by eliminating the need to store the videos themselves. Instead, a better solution is to store only the accurate captions of the events happening in the video along with the respective timestamp. Crimes are detected based on the captions generated by detecting certain crime-related keywords like a knife, thief, fire, assault, etc. we store these captions in text files along with the timestamp so we can even search for a particular event in the log. It is also more secure than storing CCTV captured videos as we will actually, be storing a text file and it can be encrypted using good encryption algorithms. Video, photos, and notifications of crime in real-time time is sent to a human supervisor to act in a responsible manner

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Crime Detection, Video captioning, CCTV, Real time

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Creative Commons Attribution 4.0 and The Open Definition

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The project may be a demonstration of using Machine Learning Classification Algorithms to predict if an individual has the Covid-19 disease from the symptoms given. Machine Learning could be a novel technique which aids in disease prediction likewise as in diagnostics. Classification algorithms are utilized in machine learning. They use input training data to predict whether following data will fall under one among the established categories. Different classification algorithms are used here to work out their operation and therefore the accuracy that they present in accurately predicting the prognosis. In this project we are applying LR(Logistic Regression) to coach a model to predict the prognosis.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Classification Algorithms, Logistic Regression, Machine Learning, Covid-19.

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Creative Commons Attribution 4.0 and The Open Definition

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With the help of the cloud, companies may share and use computer resources whenever they need them from anywhere in the globe, opening up new possibilities for data processing and services while also bringing down end users' computing and storage expenses. Access control, which is used by both enterprises and individuals to secure sensitive data, is one of the most crucial cloud security solutions. The centralized access control technique used by the cloud makes it simpler for hackers or within cloud administration to alter or leak crucial data.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cloud, Blockchain, Access control frame work

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Creative Commons Attribution 4.0 and The Open Definition

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The project defines a fruit classification for identifying adulteration in fruits using shape and complexion. The motive of this experimentation is to find the adulterated fruits using machine learning approaches. Firstly, the various types of fruits are taken, both adulterated and unadulterated they are captured using webcam. Then appearance, pigmentation and texture are extracted from these images. Machine learning algorithm like CNN is used for classification. The highest classification accuracy is obtained from feature extraction.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Adulteration detection, CNN Algorithm, Image Acquisition, feature extraction, Image Segmentation.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abhi ke time me bhi rural development me Gandhi ke principles bahut relevant h

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Gram swaraj , Vikendrikaran

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Creative Commons Attribution 4.0 and The Open Definition

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This Project is Generally Based on Analysis and Design of structural framed building. Planning, Analysis and design of G+10 residential building structure by using IS-Code method by using STAAD PRO software. For any type of building planning is done by National Building Code (NBC) in India. Hence, this residential building is properly planned in accordance with the National Building Code of India. The reinforced concrete framed structure consisting of G+10 with adequate facilities. All the structural members are designed using limit state method with reference of IS: 456-2000. Different load active on the member (beam, column) are considered according to the IS CODE: 875 (Part1, Part2, Part3).

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Keywords: Geometry, plan, supports, loads & definitions, material property, analysis, shear force, bending moment, design of beam and column.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The blockchain is now finding practical applications in industries such as healthcare because of its inherent characteristics, including a distributed ledger, decentralized storage, authentication, privacy, and immutability. A strong legal framework often imposes high levels of authentication, interoperability, and data sharing for blockchain applications in the healthcare sector. Blockchain has made advances in a multitude of industries, including business, government, online voting, and healthcare, to name a few. One of the most popular and significant sectors is healthcare, which consists of an electronic health record (EHR) system and a control system. Globally, the mortality rate for diabetes is increasing, making it one of the fastest-growing chronic illnesses. Using the Blockchain platform, a system for monitoring diabetic disease using machine learning algorithms can be developed that will provide early diagnosis of diabetes as well as protect patient electronic health records. Our EHRs sharing infrastructure integrates symptom-based illness prediction, Blockchain, and the interplanetary file system (IPFS) with patient health data gathered via wearable sensor devices. Once the data is acquired, an ML unit is used by the EHR manager to generate the required results. With the patient's and practitioner's approval, the findings, as well as the healthcare data are stored on the Blockchain. The healthcare industry should benefit from our proposed system in terms of storing, processing, and securely exchanging patient health information.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blockchain, Secure systems, Healthcare, Diabetes disease, Classification algorithms.

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Creative Commons Attribution 4.0 and The Open Definition