11 results on '"Saranya, S. S."'
Search Results
2. Digital audio steganography using LSB and RC7 algorithms for security applications.
- Author
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Saranya, S. S., Reddy, Pilli Lakshmi Chethana, and Prasanth, K.
- Subjects
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DIGITAL audio , *CRYPTOGRAPHY , *PHASE coding , *ALGORITHMS , *COMPUTATIONAL complexity - Abstract
With audio steganography, one can conceal sensitive information in audio files. Techniques for audio steganography include LSB-based, transform domain, phase coding, echo concealing, and spread spectrum. These methods are constrained by factors like attack susceptibility, limited embedding capacity, computational complexity, audio quality loss, and restricted compatibility. The quantity of data that may be concealed in an audio signal may be limited depending on the technique, and certain ways may be computationally expensive or call for a key exchange procedure. In this research, we present a method for MATLAB-based audio steganography using RC7 encryption and chaotic decryption. The secret message is concealed within the audio file's binary data using the RC7 encryption algorithm, and the encrypted message is extracted from the altered audio file using chaotic decryption. The suggested technique entails importing the audio file, translating it to binary data, inserting the secret message using RC7 encryption, transferring the altered binary data back to an audio file, and then utilizing chaotic decryption to unencrypt the message. We offer sample MATLAB code that illustrates how to use the suggested approach. The suggested approach is workable. In the current study, we present a method for MATLAB-based audio steganography using RC7 encryption and chaotic decryption. The secret message is concealed within the audio file's binary data using the RC7 encryption algorithm, and the encrypted message is extracted from the altered audio file using chaotic decryption. The suggested technique entails importing the audio file, translating it to binary data, inserting the secret message using RC7 encryption, transferring the altered binary data back to an audio file, and then utilizing chaotic decryption to unencrypt the message. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
3. Deep learning-based pneumonia classification using CNN models.
- Author
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Saranya, S. S., Singh, Kashyapi, Agrahari, Aradhya, and Prasanth, K.
- Subjects
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DEEP learning , *MACHINE learning , *INTERSTITIAL lung diseases , *IMAGE recognition (Computer vision) , *PNEUMONIA , *CONVOLUTIONAL neural networks - Abstract
One or both human lungs can become infected with pneumonia, a fatal bacterial condition brought on by pneumonia bacteria. Since the pandemic, interstitial lung disease has surpassed all other causes of death. The interpretation of chest X-rays used to diagnose pneumonia must be performed by qualified radiotherapists. Examining chest X-rays is difficult for a qualified radiologist, however. An early diagnosis of paediatric pneumonia might aid in hastening the healing process, evaluating, and enhancing diagnosis accuracy is vital. Therefore, developing an automated approach for identifying pneumonia may aid in hastening treatment, mostly in inaccessible regions. The deep learning algorithms' effectiveness in examining radiology and the benefits of pre-trained CNN models' features from large datasets in image classification applications allowed CNNs to receive much interest for illness categorization. With this research, one can examine how well pre-trained CNN models (VGG, ResNet, and Inception) perform. We propose a model for pneumonia diagnosis built utilising digitised chest X-ray images that may aid radiologists in their decision making. After comparison, VGG16 outperformed ResNet50 (84%) and InceptionV3 (65%) regarding classification accuracy, with a 90% score. These results suggest that for the particular dataset and task being studied, VGG16 was the most effective model. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
4. Retention Behaviour of Heavy Metals from Industrial Sludge Amended with Admixtures to Use Them as Liners for Landfill Facilities.
- Author
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Saranya, S. S. S., Naik, S. N. Maya, and Shankara
- Subjects
FLY ash ,INDUSTRIAL metals ,LANDFILLS ,WASTE products ,BINDING agents ,HEAVY metals ,COPPER in soils - Abstract
The solidification of contaminants within the soil/waste has proved to be a versatile technique to de-contaminate them and make them usable for several applications. In this method, the development of binder provisions leads to the conversion of the environmentally unstable condition of waste materials into a nearly stable material. Further, these materials pose a minimum threat that can be absorbed into the environment. Normally lime/cement and other pozzolanic materials are used as binder materials. In this work, it is proposed to use the efficiency of binding fly ash to improve the unconfined compressive strength (UCC) of soils, particularly during the curing period. This is because improvement in strength is a reflection of the improvement of bonding soil particles. Fly ash as the main source material, in addition to a minor proportion of cement and lime, is used to determine the strength. UCC test results revealed that as the percentage of fly ash increases there is an increase in compressive strength. It is also observed that with an increase in lime content and an increase in cement content, the UCC strength also increases. The strength in cement-stabilized compacted specimens is more compared to lime-stabilized mixtures. To confirm that the improvement in strength is related to the solidification of contaminated metals, particularly for soils containing copper and chromium, the stabilized mixture is tested for the leaching of these metals. Leaching tests were conducted on various stabilized mixtures at different curing periods. The leachate was examined for metal ion concentration using Atomic Absorption Spectrophotometer. The leaching behavior of heavy metals from different proportions of soil matrix revealed that with an increase in lime or cement percentage, a decrease in leachability is observed. It is found that the leaching of heavy metals from cement-stabilized soils was lower than in lime mixture combinations. However, minimum strength improves the solidification and retention of heavy metals effectively. [ABSTRACT FROM AUTHOR]
- Published
- 2023
5. A novel approach for driver drowsiness detection using deep learning.
- Author
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Kavitha, M. N., Saranya, S. S., Adithyan, K. Dhanush, Soundharapandi, R., and Vignesh, A. S.
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DEEP learning , *DROWSINESS , *ARTIFICIAL neural networks , *ALGORITHMS , *TRAFFIC accidents , *MOUTH - Abstract
If the driver does not have proper rest, he/she tends to fall asleep causing an accident. The main objective of the project is to design a system that can detect the driver drowsiness and alert them to reduce road accidents. The system takes the input images through a camera which focus on the driver. Initially the face is detected using Naive Bayes Region of Interest (NB_ROI) algorithm, and then the eye and mouth regions are separated. In this paper, a single layer Artificial Neural Network is used along with the auto encoder module of the Deep Learning Toolbox to categorize them to one of the classes as 'drowsy' or 'alert' based on the eye closure detection. The proposed method offers better accuracy in driver drowsiness detection. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
6. A reversible data hiding method for image protection.
- Author
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Saranya, S. S., Santhosh, C., Santhiya, M., Jeevana, S., Dhivya, J., and Vanitha, A.
- Subjects
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ACCOUNTING methods , *CRYPTOGRAPHY - Abstract
Encryption is the way toward encoding given information that can't be perceived by an unapproved individual. Securing a message or a picture which is partaken in a social stage be the difficult undertaking these days. This paper proposes an account procedure to steganography by means of reversible room before encryption surface mix. Reversible room before encryption surface mix measure explore supplementary unobtrusive side picture that arranges different facet picture with a similar and relative appearance with optional dimensions. This paper networks the Reversible room before encryption surface association cycle with steganography for covering secrete data. Rather than using contemporary cover photo for covering information our figure seal the source surface picture and introduces coded message via pattern of Reversible room before encryption surface association. This licenses us to isolate the secret messages and source surface from a stego designed surface. This philosophy proffers main three focal points. Most importantly, the positioning provide data embedding furthest extended that is contrast to dimensions of surface of the stego picture. Second, a steganalytic compute not apparently to conquer steganography technique. Third, changeable capacity gained from our arrangement gives value, which grants recovery surface of the source. Exploratory results are guaranteed to provide various consignment of introducing curtailment, produce ostensibly viable surface pictures, and also recuperate fount surface. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
7. Context Aware Data Fusion on Massive IOT Data in Dynamic IOT Analytics.
- Author
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Saranya, S. S. and Fatima, N. Sabiyath
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MULTISENSOR data fusion , *CONVOLUTIONAL neural networks , *SIGNAL convolution , *INTERNET of things , *NOISE control , *DATA scrubbing - Abstract
Educational Data management is a critical task for the researchers due to mammoth data generated by sensors and IoT (Internet of Things) devices. Managing this huge volume of data, cleaning this data from impurities is an inherent need. DF (Data Fusion) processes combine data from multiple sources based on their similarity for an easy management. DF processes focus on many factors like nature of data and application that uses that data. Many DFAs (Data Fusion approaches) have been proposed without detailing on the context for integrating data in fusion tasks. This work attempts to cover this gap of context's relevance by proposing a technique CDFT (Context aware Data Fusion technique). In this research work, initially data from IoT devices will be gathered and pre-processed to make it clear for the fusion processing. In this work, boundary based noise reduction algorithm is introduced for data pre-processing which attempts to label the unlabelled attributes in the data's that are gathered, so that data fusion can be done accurately. After pre-processing Context aware data fusion is performed which will combine the data's from multiple IoT devices together with the concern of context. Finally this combined data will be learnt using the convolution neural network for data fusion performance checking. The proposed CDFT is simulated on Matlab whose results prove that the proposed technique obtains optimal outcomes. [ABSTRACT FROM AUTHOR]
- Published
- 2020
- Full Text
- View/download PDF
8. From Oral Tales to Percy Jackson A Bird's Eye View of Children's Literature.
- Author
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Saranya, S. S.
- Subjects
CHILDREN'S literature ,FABLES ,FOLKLORE - Abstract
The article discusses brief history of children's literature. Topics include evolution of children's literature from fables and folklores by women; book "Panchatantra" as the oldest collection of fables in Sanskrit language; and first published books were "Book of Curtesye" written by William Caxton and translation of "The Book of the Knight of the Tower."
- Published
- 2017
9. Structural and Functional Evaluation of Meibomian Glands and Its Correlation With Dry Eye Parameters in Stevens-Johnson Syndrome.
- Author
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Panjiyar M, Sadhu S, Shobha PS, S S, Agarwal S, Srinivasan B, and Iyer G
- Subjects
- Adolescent, Adult, Cross-Sectional Studies, Female, Humans, Male, Meibomian Glands metabolism, Prospective Studies, Tears metabolism, Young Adult, Dry Eye Syndromes diagnosis, Dry Eye Syndromes etiology, Dry Eye Syndromes metabolism, Stevens-Johnson Syndrome complications, Stevens-Johnson Syndrome diagnosis
- Abstract
Purpose: To evaluate the structural and functional changes of the meibomian gland and correlate with subjective and other objective dry eye parameters in Stevens-Johnson syndrome (SJS) patients., Design: Prospective cross-sectional study., Methods: This study recruited 60 patients (120 eyes) with SJS and chronic ocular sequelae. All patients underwent evaluation with a Standard Patient Evaluation of Eye Dryness (SPEED) questionnaire, tear osmolarity, Keratograph 5M, LipiView, Schirmer's 1, corneal staining, Meibum Expression score (MES, 0-3), and Meibum Quality score (MQS, 0-3). The meibomian gland dropout area (meiboscore) was calculated for both lids and graded on a 4-point scale from 0 to 3., Results: The mean age of patients (n = 60) was 31.08 ± 12.94 years; 25 were males. The commonest cause for SJS, in 51 patients (85%), was drug reaction. The mean tear osmolarity, lipid layer thickness (LLT), Schirmer's test-1, and tear break-up time was 322.70 ± 17.82 mOsm/L, 53.07 ± 27.0 nm, 6.62 ± 5.74 mm, 3.38 ± 1.90 seconds, respectively. Out of 240 eyelids (both upper and lower), 160 (65%) eyelids revealed severe meibomian gland loss. The mean upper and lower lid gland loss was 77.36 ± 28.82% and 76.65 ± 29.33%, respectively, Seventy-four eyelids (61%) had no expressible glands. Meiboscore showed positive correlation with SPEED (P < .001), corneal staining scores (P < .001), MES (P < .001), and MQS (P < .001). The LLT negatively correlation with SPEED (P < .01), meiboscore (P < .001), MES (P < .01), and MQS (P < .001)., Conclusion: Significant alterations in anatomical and functional aspects of the meibomian gland are seen in SJS. The high meiboscore, MES, MQS, and decreased LLT contributed to the worsening dry eye state, as seen by their correlation with other dry eye parameters. This study highlights the need to evaluate meibomian gland structure and function in patients with chronic ocular sequelae of SJS., (Copyright © 2022 Elsevier Inc. All rights reserved.)
- Published
- 2022
- Full Text
- View/download PDF
10. Expression levels of candidate circulating microRNAs in pediatric tuberculosis.
- Author
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M K, S S, and S M
- Subjects
- Child, Child, Preschool, Female, Humans, Male, ROC Curve, Circulating MicroRNA genetics, MicroRNAs genetics, Mycobacterium tuberculosis genetics, Pediatrics, Tuberculosis microbiology
- Abstract
Tuberculosis (TB) is a preventable and curable disease, but increased mortality and morbidity associated with TB is one of the leading causes of deaths worldwide. MicroRNAs (miRNAs) are small, non-coding RNAs known to regulate the host immune response against TB. We investigated the expression profile of candidate circulating miRNAs, which could be used as a blood biomarker for the effective diagnosis of pediatric tuberculosis. A cross-sectional comparative study was conducted, including 30 children with active-TB and 30 healthy controls (HC) in a tertiary care hospital in Puducherry. We used the SYBR green-based miScript qRT-PCR assay to analyze the expression levels of miRNAs in plasma. Further, we used the receiver operating characteristic curve (ROC) to evaluate the diagnostic value of miRNAs. Active-TB included 25 (83.3%) pulmonary TB and 5 (16.7%) extrapulmonary TB cases. We found a significant upregulation of miR-21, miR-29a, miR-31, miR-155, and downregulation of miR-146a in children with active-TB compared to HC. The ROC analysis showed an excellent diagnostic value of miRNAs as follows: miR‑31> miR‑155> miR‑146a with AUC of (95% CI) miRNAs 0.978, 0.953, and 0.903, respectively. Altered circulating miRNA expression levels could be involved in the dysregulation of the host immune response to TB. The ROC analysis indicated that miRNAs miR-31, miR-155 and miR-146a could be effective diagnostic biomarkers for the detection of active-TB in children.
- Published
- 2020
- Full Text
- View/download PDF
11. In vitro cytotoxicity of zinc oxide, iron oxide and copper nanopowders prepared by green synthesis.
- Author
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S S, K V, S P, N R, and K K
- Abstract
In vitro cytotoxic effects of ZnO, FeO and Cu metallic nanopowders (NPs) on Vero (African green monkey kidney cell line), PK 15 (Pig kidney cell line) and Madin Darby Bovine Kidney (MDBK) cell lines were investigated at different time intervals (24 and 48 h). MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay was used to determine the cytotoxic effects of green synthesized (plant based) nanopowders. The comparative effects of exposure period and concentration of nanopowders on cell viability were studied. Green synthesized nanopowders showed varying activity on different type of cells and the effect was generally based on the concentration and exposure time. In MDBK cells, only ZnO nanopowder (NP) showed significant effect on cell viability. The ZnO NP showed improved cell viability at lower concentration (10 μg/100 μl) in all type of cells (Vero, PK 15 and MDBK cells). In contrast, FeO NP showed better activity at the concentration of 10 μg/100 μl, 50 μg/100 μl and 40 μg/100 μl after 24 h exposure time in Vero, PK 15 and MDBK cells respectively. However better cell viability was observed in Cu NP treated Vero, PK 15 and MDBK cells at 40 μg/100 μl, 20 μg/100 μl and 10 μg/100 μl correspondingly. These studies suggested that the activity of green synthesized NPs were highly dependent on concentration, exposure time and type of cells.
- Published
- 2017
- Full Text
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