Circumvolution of Centre Pixel Algorithm in Pixel Value Differencing Steganography Model in the Spatial Domain

Suresh, K. S.; Kamalakannan, T.

doi:10.1109/idciot56793.2023.10053536

Cited by 3 publications

(2 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The paper addresses the potential applications of EEG-based emotion recognition, such as mental health monitoring and human-computer interaction, and discusses the challenges and future directions in this field. In [19] present a thorough review of emotion recognition using EEG-based brain-computer interfaces (BCIs) and machine learning. The paper covers the fundamentals of BCIs, including signal acquisition, preprocessing, and feature extraction, as well as the application of machine learning algorithms for emotion classification.…”

Section: Related Workmentioning

confidence: 99%

Real-Time Monitoring and Assessment System with Facial Landmark Estimation for Emotional Recognition in Work

Zhu

2023

IJRITCC

View full text Add to dashboard Cite

The Model for Monitoring and Regulating Emotional States in the Work Environment based on Neural Networks and Emotion Recognition Algorithms presents an innovative approach to enhancing employee well-being and productivity by leveraging advanced technologies. This paper on the development of a system that utilizes neural networks and emotion recognition algorithms to monitor and interpret emotional cues exhibited by individuals in real-time within the work environment. With the uses of novel Directional Marker Controlled Facial Landmark (DMCFL) Emotion recognition algorithms are employed to analyze facial expressions, speech patterns, physiological data, and text-based communication to infer the emotional state of employees. Neural networks are then utilized to process this data and provide more sophisticated emotion classification and prediction. The emotional states are classified with the integrated Regression Logistics Classifier (RLC) model for classification. The analysis of the findings expressed that the real-time monitoring enables employers and supervisors to gain insights into the emotional well-being of employees, identifying patterns and potential issues. The system facilitates feedback and regulation mechanisms, allowing for personalized interventions and support tailored to individual emotional needs.

show abstract

Section: Related Workmentioning

confidence: 99%

Real-Time Monitoring and Assessment System with Facial Landmark Estimation for Emotional Recognition in Work

Zhu

2023

IJRITCC

View full text Add to dashboard Cite

show abstract

“…Efficient memory management strategies are crucial due to the increasing complexity of multi-processor SoC designs and their demanding requirements. Dealing with repeated refresh requests sent to the memory controller of Gain Cell-embedded Dynamic Random Access Memory (GC-eDRAM) poses a significant challenge [6]. To ensure optimal performance and resource utilization, effective arbitration in these systems is necessary.…”

Section: Introductionmentioning

confidence: 99%

Design and Develop Efficient Arbitration Technique to Handle the Multiple Refresh Requests in Multi-Processor SoC

Shravan,

Fatima,

Sekhar

2023

IJRITCC

View full text Add to dashboard Cite

Emerging memory technologies, such as Gain Cell-embedded Dynamic Random Access Memory (GC-eDRAM), play an essential part in the process of improving the overall performance of current multi-processor systems. GC-eDRAM, on the other hand, has its own set of distinct issues, particularly with regard to refresh operations. The number of cores and threads in contemporary processors continues to expand, which in turn leads to an increase in the number of concurrent refresh requests. This might cause contention, which in turn can lead to a possible performance decrease. In this article, we present an efficient arbitration method that was developed in order to precisely address the issues that are associated with numerous requests for a refresh in GC-eDRAM. This method takes use of the inherent parallelism of GC-eDRAM modules to make it possible to execute simultaneous refresh operations. As a result, contention is effectively reduced, and the overall performance of the system is improved. We provide a new arbitration method that prioritizes the pending refresh requests according to their level of urgency and optimizes the allocation of GC-eDRAM resources in order to guarantee that refresh operations are carried out in an effective manner. Our method modifies the arbitration priority in a dynamic manner according to the characteristics of the active workload. These characteristics include the request arrival rate, memory access patterns, and data location, among other considerations.

show abstract

Comparative Analysis and Performance Metrics Evaluation of Image Steganography Embedding Algorithms

Jamatia,

Bhuyan

2023

2023 International Conference on Evolutionary Algorithms and Soft Computing Techniques (EASCT)

View full text Add to dashboard Cite

Circumvolution of Centre Pixel Algorithm in Pixel Value Differencing Steganography Model in the Spatial Domain

Cited by 3 publications

References 18 publications

Real-Time Monitoring and Assessment System with Facial Landmark Estimation for Emotional Recognition in Work

Real-Time Monitoring and Assessment System with Facial Landmark Estimation for Emotional Recognition in Work

Design and Develop Efficient Arbitration Technique to Handle the Multiple Refresh Requests in Multi-Processor SoC

Comparative Analysis and Performance Metrics Evaluation of Image Steganography Embedding Algorithms

Contact Info

Product

Resources

About