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Your search keyword '"Vanzara, Rakeshkumar"' showing total 2 results
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2 results on '"Vanzara, Rakeshkumar"'

1. A recent survey on perceived group sentiment analysis.

Author

Rathod, Bhoomika, Vanzara, Rakeshkumar, and Pandya, Devang

Subjects
*IMAGE recognition (Computer vision), *OPTICAL pattern recognition, *IMAGE registration, *IMAGE fusion, *IMAGE processing
Abstract

Group sentiment analysis in today's era is influencing many applications. Sentiment recognition is applicable for individuals, and group as well as crowd. This paper aims to highlight the ongoing present research scenario on perceived group sentiment analysis. The paper provides a brief overview of the strengths and weaknesses of well-known group sentiment analysis approaches. These approaches are broadly split into two basic categories: top-down and bottom-up approaches. A combination of top-down and bottom-up approaches is found superior in performance. This comprehensive review also discusses the available dataset with taxonomic representation and the importance of fusion techniques in group emotion recognition. This paper also narrates the novel attempt to demarcate the group emotion recognition approaches into the categories evolved by the influence of machine learning and deep learning at the feature extraction level and at the classification level. The multi-modality based group sentiment analysis has a great scope to overcome the challenges and improve the performance on real time applications. • Comprehensive survey on perceived group sentiment analysis. • Taxonomic representation of available group emotion datasets. • Use of various attributes which utmost affect a person's emotion in a crowd or group. • Use of fusion methods at feature and decision level in GER. • Performance comparison of the existing methodology. [ABSTRACT FROM AUTHOR]

Published
2023
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2. ADYTIA: Adaptive and Dynamic TCP Interface Architecture for heterogeneous networks.

Author

Vanzara, Rakeshkumar, Sharma, Priyanka, Bhatt, Haresh S., Tanwar, Sudeep, Tyagi, Sudhanshu, Kumar, Neeraj, and Obaidat, Mohammad S.

Subjects
*HETEROGENEOUS computing, *ADAPTIVE control systems, *INTERFACES (Physical sciences), *INTERNET of things, *DATA transmission systems
Abstract

Summary: Due to the widespread popularity and usage of Internet of things (IoT)‐enabled devices, there is an exponential increase in the data traffic generated from these IoT devices. Most of these devices communicate with each other using heterogeneous links having constraints such as latency, throughput, and interference from concurrent transmissions. This results in an extra burden on the underlying communication infrastructure to manage the traffic within these constraints between source and destination. However, most of the existing applications use different Transmission Control Protocol (TCP) variants for traffic management between these devices and are dependent on the stage of the sender, irrespective of the application types and link characteristics. Each operating system (OS) has different TCP variant for all applications, irrespective of path characteristics. Hence, a single TCP variant cannot select the best suitable link, which results in degradation in throughput compared to the existing default. Moreover, it cannot use the full capacity of the available link for different applications and network links, especially in heterogeneous network such as IoT. To cope up with these challenges, in this paper, we propose an Adaptive and Dynamic TCP Interface Architecture (ADYTIA). ADYTIA allows the usage of different TCP variants based on application and link characteristics, irrespective of the physical links of the entire path. It allows the usage of different TCP variants based on their design principle across heterogeneous technologies, platforms, and applications. ADYTIA is implemented on NS‐2 and Linux kernel for real testbed experiments. Its ability to select the best suitable TCP variant results in 20% to 80% improvement in throughput compared with the existing default and single TCP variant on Linux and Windows. ADYTIA allows usage of different TCP variants based on application and link characteristics, irrespective of the physical links and based on variant's design principle for heterogeneous technologies, platforms, and applications. It is implemented on Linux kernel. It results in 20% to 80% improvement in throughput compared with default TCP variant of Linux and Windows. [ABSTRACT FROM AUTHOR]

Published
2019
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