Volume 10 | Issue 6 |

 Abstract

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%.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

spam comments, classification, logistic regression, random forest

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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).

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Married Working Women, Mental Health, and Education.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

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

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Creative Commons Attribution 4.0 and The Open Definition