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246 results on '"SUBHASHINI, R"'

103. Distortion Tolerance Data Hiding using Optimization Technique

Author

C. Vanmathi, Subhashini R, Vinoth Kumar S, and Mangayarakarasi R

Subjects
Pixel, Steganography, business.industry, Image quality, Computer science, Plain text, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Swarm behaviour, computer.file_format, Encryption, Distortion, Information hiding, Computer vision, Artificial intelligence, business, computer
Abstract

This paper gives an effective spatial area based picture concealing plan, utilizing Molecule Swarm Streamlining (PSO) with capsule encryption technique. First the plain text was encrypted using capsule encryption method after the PSO method was used to hide the encrypted data into the image. Partical swarm optimization is utilized to locate the finest pixel areas in a dark scale picture pixel information can be installed. The target capacity for PSO is characterized in a manner that mutually for quality and heartiness of the stego picture are adequate. This outcomes in a stego picture which is great in quality as well as ready to handle certain clamor and pressure assaults amid transmission. The outcomes when contrasted and some late information concealing procedures in the spatial area show better stego picture quality at the side of contortion resistance.

Published
2020
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105. E-Anfis to diagnose the progression of chronic kidney disease

Author

Subhashini R and MK Jeyakumar

Subjects
Adaptive neuro fuzzy inference system, Artificial neural network, Computer science, business.industry, Inference, Pattern recognition, medicine.disease, Fuzzy logic, Backpropagation, Maxima and minima, medicine, Artificial intelligence, MATLAB, business, computer, Kidney disease, computer.programming_language
Abstract

Chronic renal failure is not well explored. In this study, an artificial intelligence technique is proposed for overcoming the occurrence of local minima and local maxima in diagnosing the progression of kidney disease. An AI technique, a mixture of ALO and ANFIS, E-ANFIS (Enhanced Adaptive Neuro-fuzzy Inference Systems) is introduced. Normally back propagation is used in ANFIS but in proposed using new optimizer ALO. The performance of ANFIS is improved by utilizing the Ant Lion Optimizer. This enhanced ANFIS used to diagnose the progression stage of the CKD. The proposed technique was executed in MATLAB/Simulink platform and compared with the existing techniques ANFIS, fuzzy, and ANN. Performance evaluation is assessed in terms of accuracy, recall, precision, F-measure and specificity. The obtained results showed that the newly introduced E-ANFIS is the best algorithm when compared to other involved existing algorithms

Published
2019
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108. Interestingness Calculation for Cricket Summary Generation

Author

Subhashini R

Subjects
General Computer Science, Mechanics of Materials, Electrical and Electronic Engineering, Civil and Structural Engineering
Abstract

This paper analyses the way how to make cricket summary automation more efficient. Thus, from the score card details, by adding various interestingness factors to make the summary more interesting to the user is the solution. That can be achieved by considered both the history of the teams and the current match details and analyzed by the system.

Published
2019
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122. Drowsiness Detection Using Eye Blink and Facial Features Image Analysis.

Author

S., Ajay, K., Azariah John, Subhashini, R., and Thomas, Joshua

Subjects
DIGITAL image processing, DEEP learning, SLEEP stages, EYE movements, COMPUTERS, FACIAL expression, BLINKING (Physiology), COMPUTER-aided diagnosis, FATIGUE (Physiology), TEXT messages, DROWSINESS, ALGORITHMS
Abstract

Drowsiness detection and alert system is developed using OpenCV library and deep learning algorithms and implemented with a night vision camera and a computer to detect if a person is drowsy. The system uses a camera to capture the person's face and eyes to detect fatigue. In such a case where fatigue is detected, a warning signal is issued to alert the person and an SMS to a person related to the victim. [ABSTRACT FROM AUTHOR]

Published
2020
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123. Mimicking Attack Detection at Hybrid Level.

Author

Krishna, V. Rama and Subhashini, R.

Subjects
BOTNETS, MARKOV processes, WEB browsing, GATEWAYS (Computer networks), ANOMALY detection (Computer security)
Abstract

Botnets are becoming an easy way of creating multiple attacks. One of them was botnets simulate the behaviour that is very near to the legitimate users. Previous research found through semi-Markov model it was difficult to detect mimicking attack based on browsing statistics if attacking bots were sufficiently large in number [1]. By using Bots attackers will collect the user profiles from multiple systems. Bot master (attacker) will study statistics and Bot master will prepare a common profile (or) multiple profiles similar to the user activities. In the next phase, bot master injects profile into user systems through bots. If bot master injects common profile across all bot injected system then the attack was considered as a homogeneous mimicking attack. If bot master injects multiple profiles to the bot injected systems the attack was considered a heterogeneous mimicking attack. As part of our study, we simulated the mimicking attack and worked on detecting at multiple levels. We have developed algorithms of detecting at a server level [2] and the gateway level [3]. In this paper, we are going to discuss the merits and demerits of these two detection algorithms and proposing another architecture module hybrid level detection. Which will be spread across servers and gateway which will have the bird view of activities happening in the network. It collects the statistics from different network elements and based on the analysis of the trace of the bot activities will identify mimicking attack. [ABSTRACT FROM AUTHOR]

Published
2020
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131. Emotional intelligence, individual and contextual correlates of team leaders attitudes toward depressed employees in Chennai IT industries

Author

Subhashini, R., Kumar, N. Santhosh, Subhashini, R., and Kumar, N. Santhosh

Abstract

The aims of the present research are twofold. The first aim is to explore the psychometric properties of a developed measure of team leader’s attitudes toward depressed employees. This will address a major deficit in the literature. The main objective of this research is to determine the individual and contextual correlates of team leader’s attitudes toward depressed employees in Chennai IT industries. The nature of the research is Descriptive method, and the sample size is 300 respondents from various locations in India and data collection method used in the research is “Questionnaire Method”. Data was analyzed by using SPSS 16.0. Findings, suggestions and conclusions were made by keeping an eye on the objectives. A second aim of this study is to identify individual and contextual correlates of these attitudes. This knowledge can inform design interventions that may help promote a positive climate for mental health in organizations and facilitate supportive managerial behaviour toward employees with symptoms or diagnoses of depressive disorders. A number of hypotheses are advanced in relation to these potential correlates of team leader’s attitudes toward depressed employees.

Published
2016

135. Contributors

Author

Agarwal, Vishesh, Arthur, Rangel, Bama, K.R. Anu, Darsana, P., Deepa, D., Dejey, Elakkiya, M. Kaviya, França, Reinaldo Padilha, Gopalakrishnan, K., Hu, Zhilin, Iano, Yuzo, Kakulapati, V., Kanmani, Grace Prince, Kumari, B. Vijaya, Li, Xiang, Monteiro, Ana Carolina Borges, Murugan, Mahalakshmi, Nagarajan, Sureshkumar, Nidhyananthan, S. Selva, Oommen, Nimisha Anns, Poonguzhali, S., Raja, G. Boopathi, Rajkumar, Immanuel, Raman, Rahul, Selvaraj, Rohini, Shebiah, R. Newlin, Sindhu, Sivasangari, A., Sonti, Kishore, Subhashini, R., Suja Priyadharsini, S., Sun, Junding, Vimali, J.S., and Yao, Chong

Published
2022
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