Ritu Ratra - Academia.edu (original) (raw)

Papers by Ritu Ratra

Journal of emerging technologies and innovative research, 2019

With constantly transforming specifications due to advancements in design flows and faster time t... more With constantly transforming specifications due to advancements in design flows and faster time to market, it is becoming challenging for the Very Large Scale Integration (VLSI) designers to accommodate different components in to the System On Chip (SoC). As the complexity depends on number of components being added into the design, the integration becomes singularly challenging. Computer Aided Design helps in capturing the intricacies and extensive details in an organized format which could be reused by the SoC integrator for efficient and expeditious progress. IP CAD views play a critical role in the System On Chip integration process as multi-purpose and multi voltage devices are coming into consideration together on a same yet minute platform. There is a need for innovative techniques targeted to achieve Simplified and Standardized generation process of CAD Views capable of handling huge IP portfolio and addressing needs of a big spectrum of EDA design flows. Rapidly changing te...

International Journal of Engineering and Advanced Technology, 2019

Nowadays, large volume of data is generated in the form of text, voice, video, images and sound. ... more Nowadays, large volume of data is generated in the form of text, voice, video, images and sound. It is very challenging job to handle and to get process these different types of data. It is very laborious process to analysis big data by using the traditional data processing applications. Due to huge scattered file systems, a big data analysis is a difficult task. So, to analyses the big data, a number of tools and techniques are required. Some of the techniques of data mining are used to analyze the big data such as clustering, prediction, and classification and decision tree etc. Apache Hadoop, Apache spark, Apache Storm, MongoDB, NOSQL, HPCC are the tools used to handle big data. This paper presents a review and comparative study of these tools and techniques which are basically used for Big Data analytics. A brief summary of tools and techniques is represented here.

Journal of emerging technologies and innovative research, 2019

With constantly transforming specifications due to advancements in design flows and faster time t... more With constantly transforming specifications due to advancements in design flows and faster time to market, it is becoming challenging for the Very Large Scale Integration (VLSI) designers to accommodate different components in to the System On Chip (SoC). As the complexity depends on number of components being added into the design, the integration becomes singularly challenging. Computer Aided Design helps in capturing the intricacies and extensive details in an organized format which could be reused by the SoC integrator for efficient and expeditious progress. IP CAD views play a critical role in the System On Chip integration process as multi-purpose and multi voltage devices are coming into consideration together on a same yet minute platform. There is a need for innovative techniques targeted to achieve Simplified and Standardized generation process of CAD Views capable of handling huge IP portfolio and addressing needs of a big spectrum of EDA design flows. Rapidly changing te...

International Journal of Engineering and Advanced Technology, 2019

Nowadays, large volume of data is generated in the form of text, voice, video, images and sound. ... more Nowadays, large volume of data is generated in the form of text, voice, video, images and sound. It is very challenging job to handle and to get process these different types of data. It is very laborious process to analysis big data by using the traditional data processing applications. Due to huge scattered file systems, a big data analysis is a difficult task. So, to analyses the big data, a number of tools and techniques are required. Some of the techniques of data mining are used to analyze the big data such as clustering, prediction, and classification and decision tree etc. Apache Hadoop, Apache spark, Apache Storm, MongoDB, NOSQL, HPCC are the tools used to handle big data. This paper presents a review and comparative study of these tools and techniques which are basically used for Big Data analytics. A brief summary of tools and techniques is represented here.