Volume 10 | Issue 7 |

 Abstract

In Indian society, youth unrest is a very severe societal issue. The majority of young people are directly or indirectly involved in various social issues. Youth unrest is defined as the manifestation of collective frustration of the youth in society and unemployment is one of the main causes of youth unrest. Being a youth who is very energetic, vibrant, and dynamic nature it is a very restive feeling to sit idle at home. Youth Participation in every sector is undoubtedly high representing nearly 1/3 population and contributing 34% of the Gross National Income in India. Despite the government's various programs and initiatives for youth development, unemployment has surged in the last half-decade, causing anger among young people. The study is based on secondary data and examines how unemployment is the leading cause of youth unrest, as well as the implications of youth unrest and government measures to address such a huge issue in the country.

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 Keywords

Youth, Youth unrest, Unemployment, consequences of youth unrest, government initiatives

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Deep learning is the focus of research on vision-based fault recognition (DL). Poor-quality photos usually lose crucial features, which hinders the performance of DL techniques. We employed the GAN Model to transform low-quality photos into high-quality images to solve this problem. Defects in reconstructed images are identified using the vgg16 model. The results of the studies show that the suggested strategy is more accurate and performs well even with noisy photos. To determine whether defect reconstruction for low-quality flaws is effective. Four indicators are utilized to evaluate the performances: PSNR, SSIM, cosine, and mutual information. These indications are very helpful for defect analysis.

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 Keywords

Deep learning, Generative adversarial Network, VGG16, Low-quality photos.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Keywords

Methotrexate, beta-hCG, Ectopic, Hemoperitoneum.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The concept of pattern recognition relates to the categorization of data patterns and the differentiation of these patterns into a set of categories that have been predetermined. This is the analysis. Pattern recognition is put to use in the interpretation of ECG signals. The waveform that is formed by the ECG signal provides practically all of the information that is needed on the activity of the heart. It is a bioelectrical signal that is used in the process of documenting the electrical activity of the heart in relation to the passage of time. In order to properly diagnose cardiac disorders and choose the most effective course of therapy for a patient, early and accurate diagnosis is essential. ECG signals are the parameter that is utilised for the identification of cardiac disorders, and the majority of the data originates from the databases maintained by PhysioDataNet and MIT-BIH. In this research, the spectral entropy, Poincare plot, and Lyapunov exponent are some of the ECG signal feature extraction characteristics that are put under the microscope. Additionally, this study utilises an artificial neural network as a classifier for the purpose of determining the anomalies associated with cardiac disease.

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 Keywords

Artificial Neural Network, Electrocardiograph (ECG), Arrhythmia, feature extraction, Classification.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Research in intelligent transportation systems (ITS) is becoming increasingly focused on big data, which can be seen in numerous projects around the world. Data-driven approaches are needed because of the volume and availability of data in the Intelligent Transportation System (ITS). Big Data algorithms are being used to improve transportation applications' intelligence. There has been a rise in the use of Big Data algorithms in both academic and industrial contexts in ITS. There are many uses for ITS big data algorithms, including but not limited to signal recognition, object detection and traffic flow prediction as well as travel time and route planning and vehicle and road safety. There will be a bibliography, an in-depth look at the application of ITS, and an examination on some well-known Big Data models in the context of ITS. This research sheds light on how Big Data algorithms are being used in ITS, revealing new areas of application and bringing together models and applications in new ways.

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ANALYSIS ON APPLICATIONS OF BIG DATA ON INTELLIGENT TRANSPORTATION SYSTEM

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ChinaBeeReady is a certification platform that, among other things, must ensure that any critical data cannot be altered manually outside of the platform user interface. Also, any data based on location has to be valid to avoid deceit. The main characteristics of this platform were the main focus of the company's research to determine if there was a way to implement such features for a software platform. All known security measures were being used during software development and release to secure the platform from external attacks. Because the data in this system had to be kept as unaltered as possible, it had to be protected from any insider attacks as well. The data, which is transferred from the mobile devices, also has to be trustworthy since the location of the device plays a crucial role in the certification process for specific roles. The research was conducted with these two targets in mind, and several options were examined. The produced results were promising for both of the researched topics and applied during the implementation of this software platform, in addition to all the existing practices for an overall security system.

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 Keywords

Database fields encryption, location-based data, security, protection

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cloud Computing, Enterprises, Productivity, Security, Service models, Cloud Impacts, Cloud Adoption.

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Creative Commons Attribution 4.0 and The Open Definition

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The largest retailer and top producer of footwear in India is Bata India. To determine client preferences, a survey study on "Customer Buying Behavior Toward Branded Casual Shoes" was undertaken. India came in behind China as the second-largest producer of footwear. Customer satisfaction and their relationships with customers are being given greater priority thanks to the growing popularity of customer relationship management.

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 Keywords

customer, satisfaction, bata

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Mobile Adhoc Network also called as MANET is basically wireless network without any fixed infrastructure. It has wireless mobile nodes which are randomly moving in given network topology. It supports dynamic topology where set of mobile nodes communicate each other with the help of routing protocols. A routing protocol decides how packets can be forwarded from source node to destination node via some intermediate nodes by distributing routing information to enable best possible route on a computer network. Therefore, routing protocol plays a important role for providing best route between nodes and establish communication within network. In this paper we have evaluated performance of two routing protocols- AODV( Ad-hoc On-demand Distance Vector) & DSDV (Destination-Sequenced Distance-Vector) using NS2.35 based on different network metrics. Also we have implemented Xgraph & Gnuplot utility of NS2.35, which is inbuilt function for plotting graphs.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

MANET, AODV & DSDV

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Creative Commons Attribution 4.0 and The Open Definition