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
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
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
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
Assessment of Groundwater Quality for Drinking and Irrigation in Watershed Boundary-Bachannapet Region, Jangaon District, Telangana State, India
A of total forty samples were collected and analyzed for major ion chemistry of the groundwater quality and its suitability for drinking as well as irrigation purposes. The pH ranges from 7.76-9.26 and 7.45-8.68 indicating the water is slightly alkaline condition. TDS ranges from 95-655 mg/l and 147-1184 mg/l during pre and post monsoon season. Total Hardness (TH) ranges from 95-655 mg/l and 88-510 mg/l; Chloride ranges from 28-877 mg/l and 22-706 mg/l during pre and post season respectively. The majority of the samples are suitable for domestic purposes due to low to medium hardness, however few samples are described as very hard and unsuitable for domestic, drinking and irrigation purposes. Various indices like Salinity Index, Sodium Absorption ratio (SAR), Kelly’s ratio (KR), Permeability Index (PI) and Water Quality Index (WQI) are used to classify groundwater and surface water for drinking as well as irrigation purposes. Besides this, Piper, Wilcox, and Gibb’s plots were studied for geochemical controls and Hydrogeochemistry of groundwater.
Published by: MD. Ameena Begum, J. Ratnakar
Author: MD. Ameena Begum
Paper ID: V8I2-1247
Paper Status: published
Published: April 12, 2022
Snowflake Internship/Training Project Report
Snowflake is a SaaS-based data warehouse (DWH) platform that runs over an AWS or MS Azure cloud infrastructure. (You might hear this called data warehouse as a service). Unlike other warehouse solutions, Snowflake utilizes an enhanced ANSI-compliant SQL engine that is designed to work solely on the cloud.
Published by: Y. Swetha, Dr. G Sandhya Devi
Author: Y. Swetha
Paper ID: V8I2-1262
Paper Status: published
Published: April 12, 2022
