Manuscripts

Recent Papers

Review Paper

Analytical study of tools for Big data analytics

Due to digitalization, there is a rapid growth of data sets in different forms. When there are instances of a large and complex amount of data and the traditional data processing techniques are failing to deal with these types of complex data, this data is known as Big Data. For any decision-making in sectors like advertising, government agencies, medical research, and such we come across big data. The given data for the research has to be processed using various techniques of data analytics which is known as Big Data Analytics. These techniques are used on structured or unstructured available data which are not possible to be processed using traditional methods. In this paper, I’ll be discussing some of the major utilization of big data analytics by comparing different big data tools used for validating the data.

Published by: Shubham Milind Lokhande

Author: Shubham Milind Lokhande

Paper ID: V8I2-1268

Paper Status: published

Published: April 15, 2022

Full Details
Research Paper

Android privacy leakage detection using static analysis

The quantity of Android apps has grown explosively in re- cent years and the wide variety of apps leaking non-public facts has additionally grown. it's far necessary to make sure all of the apps are not leaking non-public information before putting them to the app markets and thereby a privateness leaks detection tool is wanted. We endorse a static taint evaluation approach that leverages the control-flow graph (CFG) of apps to locate privateness leaks among Android apps. We tackle three troubles related to inter-element verbal exchange (ICC), the lifecycle of components, and the callback mechanism making the CFG imprecision. To bridge this gap, we ex- implicitly join the discontinuities of the CFG to provide a unique CFG. based totally on the ideal CFG, we goal at offering a taint evaluation method to locate intra-factor privateness leaks, inter-factor privacy leaks, and additionally inter-app privacy leaks.

Published by: Harsh Jha, Manish Verma, Prashant Gautam

Author: Harsh Jha

Paper ID: V8I2-1275

Paper Status: published

Published: April 15, 2022

Full Details
Others

Microservices: Architecture, containers, and challenges

Microservices (also known as microservices architecture) is a cloud-native architectural paradigm in which a single application is built of several loosely connected and independently deployable, tested, or developed. The microservice architecture concept says, that you break a big application into small bodies into small services of loosely coupled applications of services. This paper discusses monolithic architecture, service-oriented architecture and microservice architecture, and then container technology. Then move on to microservices challenges.

Published by: Rohan Talekar

Author: Rohan Talekar

Paper ID: V8I2-1282

Paper Status: published

Published: April 15, 2022

Full Details
Research Paper

Role of judiciary in Indian economy & economic cost of delay in justice

At present India is said to be the third-largest economy in the world in terms of PPP (Purchasing Power Parity). Our service sector is growing rapidly and contributes around 56 % of the national income. To maintain a high growth rate of national income, our law & order, particularly the judiciary needs to improve then only FDI, FII, trade, and industry will get legal protection to develop. Delay in court cases creates fear in the minds of trade and commerce. The common public is scared to approach the police and judiciary. There is a huge cost to the economy, around 1.5 to 2 % of GDP, due to delays in court cases. Due to the inefficiency of the police and judiciary, people are taking the law into their hands, and the cost to handle such a lawless situation is extremely high in our country. This paper tries to identify such costs and remedies to improve the Indian judiciary.

Published by: Dr. Ravikiran Ramanand Garje

Author: Dr. Ravikiran Ramanand Garje

Paper ID: V8I2-1283

Paper Status: published

Published: April 14, 2022

Full Details
Review Paper

Review of image segmentation techniques

Image segmentation is considered to be one of the most important image processing processes. Image segmentation is the process of dividing or partitioning an image into parts called segments. It's most useful for applications like image compression and object recognition because processing the entire image is inefficient in these cases. As a result, image segmentation is used to separate the image's parts for further processing. Several image segmentation techniques exist, which divide an image into multiple parts based on image features such as pixel intensity value, color, texture, and so on. The segmentation method is used to categorize all of these techniques. The various image segmentation techniques are reviewed in this paper.

Published by: Rohan More

Author: Rohan More

Paper ID: V8I2-1281

Paper Status: published

Published: April 14, 2022

Full Details
Research Paper

Predicting the power of Combined Cycle Power Plant

With the rising share of renewables in the energy mix, there is a need for alternative flexible power capacity to mitigate its intermittency. The emerging role of the aggregator is important in untapping the potential of new flexibility sources. An aggregator bundles the flexibility of distributed generation and demand response, and offers the collective resources to wholesale electricity markets. This technical aggregation is referred to as a Virtual Power Plant (VPP). The main aim of this paper is to work towards a model to estimate flexibility characteristics of aggregates of DR (demand response) and DG (distributed generation) to better provide smart grid services from those aggregates in existing and future wholesale markets. This knowledge is the missing connection to ensure capabilities of real-time response into energy markets with a fixed time control loop. Traditionally this has been done using detailed information on device makeup of a virtual power plant (VPP), i.e with detailed knowledge of flexible device state and their performance capabilities. This low level detailed knowledge requirement presents barriers such as performance and security of private information. Therefore, this paper will investigate the applicability of machine learning techniques using only currently available market information to black box estimate aggregate flexibility characteristics, specifically capacity available during run-time and longevity, the amount of time a power deviation can be maintained.

Published by: Gopi Edimudi, Katika Arshad, Mohammed Muzammil

Author: Gopi Edimudi

Paper ID: V8I2-1259

Paper Status: published

Published: April 13, 2022

Full Details