Volume 10 | Issue 6

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Creative Commons Attribution 4.0 and The Open Definition

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High-Rise Building are considered between 23 m to 150 m high. Buildings giant than 150 m are considered as Skyscrapers. Hence, the utmost critical issue for the structural engineer is the height of the building. As the high-rise structures has many technical issues but the most susceptible issues are considered to be seismic and wind forces acting in lateral directions. This project work symbolizes the study of behavior and identification of the existence of stiffness irregularity if swimming pool is positioned at different height of Building Using ETABS. The main target is to achieve the effective position of swimming pool which can be applied in the high-rise building.

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High-Rise, Swimming Pool, Stiffness, Dynamic

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People now feel more comfortable socializing over the internet through popular social networking and media websites than face to face interaction. Thus, the social media websites are thriving more nowadays. YouTube is a vastly popular social media site which is expanding at very fast pace. YouTube depends mostly on user created contents sharing and spreading videos. However, due to this popularity, YouTube has become more susceptible to unwanted and malicious spammers. The increase in quality of online social networks, it has become easy for the spammers to implement malicious activities into the websites by adding spam messages in the comment section of the videos. This paper classifies whether the youtube comments are legitimate or spam comments. Few sample datasets are taken and trained on different models. Each model classifies spam and non-spam comments. An optimal model is being chosen (high accuracy model) and is deployed into web application. This web application takes a YouTube video link as input and detects spam comments in it. The accuracy of model is been observed as 95%.

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spam comments, classification, logistic regression, random forest

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All over the world, road transportation has increased tremendously. The issue with increased road transportation is undesirable accidents. Accidents are highest in India amongst other countries in the world. The actual number of casualties due to accidents may be higher than documented. There are some particular places where accidents occur more, they are road crossings, turns on highways etc. It is required to minimise the accidents with an intelligent system that alerts before the occurrence of accidents. Also, the accidents on highways can be prevented by understanding the psychological state of driver. This project has proposed a smart system for accident prevention that is an ideal concept for smart roads. This smart system uses sensors to send digital data using internet of things (IoT) to take immediate actions under emergency conditions and to communicate through wireless protocol. The main object of the propose system is to prevent accident by sensing the nearby zones through signal or message alert through Wi-Fi technology. If narrow Bridge zone nearer to vehicles within 100 meters it will give alert notification to mobile through Wi-Fi. After this indication the person reduces the speed of the vehicle. Similarly, if school zone is nearer to vehicles within 100 meters it will give alert notification to mobile through Wi-Fi. After this indication the person can slow down the vehicle. Same as if Fog zone nearer to vehicles within 100 meters it will give message alert to mobile through Wi-Fi. After this indication the person reduces the speed of the vehicle. By this indication we can reduce the accidents on Highways. In this project we are using IOT module ESP 8266, AT89S52, switches. Here, in this project, IOT module is connected to the controller and using internet from any place speed can be controlled. This project uses regulated 5V, 1A power supply. 7805 three terminal voltage regulator is used for voltage regulation. Bridge type full wave rectifier is used to rectify the ac output of secondary of 230/12V step down transformer.

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Prevent of Accidents, Wi-Fi Technology, Wireless Protocol, Internet of Things

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The process of sending packets from one location to another location under a dedicated shortest path is known as routing. There are several routing techniques in real world to send packets from one location to another location either in single path or multiple paths. One among the best is dynamic routing in which the data travel through multiple paths under dynamic manner. During the data transfer they may occur some attacks by the intruders who try to stop the packets not to reach the destination or sometimes they want to delay the packets transfer. In this current paper we try to investigate the problem of localizing node failures in communication networks from binary states (normal/ failed) of end-to-end paths. In this paper, we present a Resistive to Selective Drop Attack (RSDA) scheme to provide effective security against selective drop attack. If there is any attack occurred in the network, here we can able to provide an alternate path from the Point of Attack (POA) and can able to send the data packets in alternate best path. The network manager can able to find out the end to end path measurements on the network once the data transfer is completed. By conducting various experiments on our proposed model we finally came to a conclusion that our proposed approach is best in identifying the node failures in wireless adhoc networks (WANETs).

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Resistive To Selective Drop Attack (RSDA), Dynamic Routing, Point Of Attack (POA), Node Failures, Wireless Adhoc Networks.

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Women Empowerment, Discrimination, Employment, Economic services, Governance, Legal Rights

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Cold formed steel sections are extensively used in Industrial and many other non- industrial constructions in World wid. It is relatively a new concept in India. So, here in this research, an attempt is being to carry out the comparison between hot rolled and cold formed steel sections. The results shall be checked with the ultimate goal of reducing the tonnage. Structural analysis and design shall be carried out in STAAD.Pro.V8i SS6 by Bentley systems because of its strong analysis engine, easy graphic user interface and universal acceptability.

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Hot rolled sections, cold formed sections, Weight comparison, STADD-Pro, Tapered Section, pre-engineered, sustainable, conventional steel building

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Married Working Women, Mental Health, and Education.

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According to the coordination control of a dynamic voltage restorer (DVR) and an inductive fault current limiter (FCL), this paper proposes an efficient low-voltage ride-through (LVRT) scheme for a doubly fed induction generator (DFIG) based wind turbine. The DVR is located to the DFIG?s stator circuit for stabilizing the terminal voltage and decreasing the generator current. The inductive FCL is connected to the DFIG?s rotor circuit for suppressing the rotor overcurrent and protecting the converter. Theoretical discussions on structure, principle and scale criterion of the combined DVR-FCL are conducted, and simulation analyses of the proposed approach to handle symmetrical and asymmetrical faults are done in MATLAB/Simulink. In this study, the dynamic characteristics of the DFIG during the faults are analyzed from multiple aspects, and a detailed comparison of the proposed approach and the single action of DVR or FCL is carried out. From the simulation results, the effectiveness and superiority of the proposed approach are well demonstrated.

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Wind turbine, DFIG, Grid faults, Crowbar protection, Backstepping control, Low-voltage ride through;

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Geoscience, Data Science, Intelligent system, Machine learning, Big data, data life cycle, Recent development, Trends

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Medicinal plants contain phytochemical compounds that are very useful as medicine in control of various diseases and disorders. In the present studies, Wrightia Tinctoria and Capparis Zeylanica, leaves extracts are tested for phytochemical, biochemical and GC-MS studies. Ethanolic extract shown good number of compounds compared to methanolic, ethyl acetate, aqueous and chloroform extracts. Phytochemical analysis of ethanolic leaves extract of Wrightia Tinctoria and Capparis Zeylanica, has shown the biological compounds like carbohydrates, cholesterol, Amino acids, Steroids, Alkaloids, Flavonoids, Cardiac glycosides, Saponins, Tannins, Terpenoids, Fattyacids, and Phenols. It was further to identify 10 different compounds of medicinal use in the Wrightia Tinctoria and Capparis Zeylanica, by GC-MS analysis. The result suggests that the phytochemicals present in Wrightia Tinctoria and Capparis Zeylanica, leaves extracts may show antimicrobial, anti-inflammatory and antioxidant properties.

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Wrightia Tinctoria, Capparis Zeylanica, Phytochemical, Solvent extraction, Biochemical studies, GC-MS.

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Abstract: Corruption in India is an issue which affects the economy of central, state and local government agencies in many ways. Corruption is a great problem in India. It is not only Indian problem but also world wide problem. We have found it every countries less or more. India is largest democratic country in the world. It has long history of financial, Political, Administrative corruption. After independence, we have noticed many corruption and Financial scam which were done by political leader or Ministers, and bureaucrat in our country. It has spread top to bottom in nation. It is a great challenge to remove from our administration. People are losing their faith on administration, judiciary system, and political leaders. Social morals and values are spoiling day by day. It has so many causes as like as Political patronage, nepotism, greediness, lack of transparency, increasing of unemployment, low wage of government officials, etc. It badly affected our society. Our country has taken so many measure to prevent it but fail to cure this disease at all.

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Keywords: Corruption, Political patronage, Greediness, Nepotism, Democratic.

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The study uses survey methods to collect data, exploratory factor analysis (EFA) and multivariate regression analysis to investigate the factors affecting social responsibility accounting (SRA) in Vietnam plastic industry enterprises. 210 questionnaires were sent to managers, chief accountants and accountants of Vietnamese enterprises in December 2021, and 160 valid responses were obtained. Based on the results of this survey, the study proved that pressure from stakeholders, corporate managers' perception of CSR, characteristics of plastic enterprises, and qualification of accountants are four factors that have a positive and statistically significant impact on the application of SRA in Vietnam plastic industry enterprises.

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Social responsibility accounting, plastic industry, Vietnam plastic industry, environmental accounting, green accounting

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child marriage, pluralist, Socio-legal Issues

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India is a developing nation. With the evolution of urbanization, plenteous amount of disposed waste products like scrap rubber tires, polythene carry bags, plastic bottles, etc are generating day by day. Total waste plastic generation in India is 5.6 million tons per year, which is 70% of total plastic consumption. Being a non-biodegradable product it could not be dumped in landfills because through the erosion caused by wind and water, it will come back to the surrounding environment, which cause risk to human health.

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Tyre waste; HDPE; bituminous concrete; scrap tyres; plastic.

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One of the most deadly diseases that patients experience is acute myocardial infarction (heart attack). The key to managing cardiovascular illness is analyzing large amounts of data, comparing and mining for information that can be utilized to forecast, prevent, manage, and treat chronic disorders like heart attacks. Big Data analytics, which is well-known in the business world for its usefulness in controlling, contrasting, and managing enormous datasets, can be used to forecast, prevent, manage, and treat cardiovascular disease with great effectiveness. Data mining, visualization, and Hadoop are big data technologies or methods for getting information from large datasets.

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Data mining; Machine learning; Internet of things (IoT); Telecardiology; Big data; Big Data analytics; Heart attack; Nursing; Health care; Personalized patient care; Privacy; Data mining; Machine learning; Internet of things (IoT); Telecardiology

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This paper is an attempt to analyse the importance and role of MUDRA bank as a tool for financial assistance to MSME sector. The study is based on the secondary source of data obtained from the official website of MUDRA.org, PMMY report, newspapers and magazines, and other published sources The Micro Small Medium Enterprises (MSME) segment plays a substantial role in the development of the Indian economy. The progress of this segment is extremely critical to meet the national imperatives of financial inclusion and generation of substantial levels of employment across urban and rural areas across the country. Indian MSME sector gets a significant boost by the implementation of Pradhan Mantri MUDRA Yojana (PMMY) Scheme and a dedicated bank for MSME sector (MUDRA Bank) that spurs the growth of Indian MSME Sector and help them increase their contribution to Indian GDP from its current level of 38%. This bank immensely increases the confidence of young, educated or skilled workers who would now be able to aspire to become first generation entrepreneurs; existing small businesses, too, will be able to expand their activities. The main objectives of MUDRA Bank are, to encourage entrepreneurs and small business units to expand their capabilities and operations, to reduce over-indebtedness and to provide formal a system of credit.

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Creative Commons Attribution 4.0 and The Open Definition

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foundry sand, Design mix, compressive strength, flexural strength, split tensile strength.

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This article is an evidence-based case report to explore the role of individualized homoeopathic medicine as an adjuvant therapy along with standard management used in a case of non-healing scalp wound in a moderate haemophilia B patient. Add on homoeopathic medicines when prescribed on an individual basis lessens the suffering and hastens the recovery.

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Haemophilia B, Individualised Homoeopathic medicine, Non-healing wound, Standard management, Case Report.

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Because of its wide range of applications in a variety of facial investigations, automatic age and gender prediction from face photos has recently gained a lot of attention. We can leverage the aforementioned technologies to determine a person's age and gender just on a single glimpse from a camera, image, or video. This research paper will outline convolutional neural network (CNN) using deep learning, methodologies, and algorithms that can be used, and how everything fits together for gender classification and age detection. Technology will also underline its importance and how it may be used to better our everyday lives. The paper's prime objective of use deep learning to develop a gender and age detector that can roughly predict the gender and age of a human face in an image. Further, the map shows how this technology might be applied to our benefit and look at the broad array of applications where it could be used: from intelligence agencies, CCTV cameras, and policing to matrimony sites.

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CNN, deep learning, gender classification, age detection

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Creative Commons Attribution 4.0 and The Open Definition