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Articles by S. Geetha
Total Records ( 3 ) for S. Geetha
  A. Kanmani , N. Karthikeyan and S. Geetha
  In this study, we propose a novel high capacity separable data hiding scheme that facilitates one to embed large amounts of data into the digital cover images. A natural image exhibits a property where neighbor pixel values are mostly similar and so, their differences are found to be close or equal to zero. Data is embedded into this difference histogram in a repetitive manner multiple times and thus the proposed scheme provides higher embedding capacity compared to the conventional histogram based techniques. The embedding is performed in the integer wavelet transform domain so as to make the system robust to attacks. Further, the proposed scheme uses minimal side information for restoring the cover image and the secret payload compared to the conventional schemes. Performance comparisons with other existing schemes are provided to demonstrate the superiority of the proposed scheme.
  S. Geetha and R. Sathya Priya
  This study presents a smart agriculture irrigation control using Wireless Sensor Networks (WSNs), GSM and Android phone supporting android applications and a system for plant disease monitoring. Now a days the significance of Wireless Sensor Network (WSN) and android phones has been emerging significantly. In early days the agricultural farming methods were more complicated and costlier. In this system the optimized data are collected from the wireless sensor nodes and then the data are analyzed for an expert irrigation scheduling using fuzzy logic in order to optimize water usage. The fuzzy logic approach is used and implemented using Arduino UNO board. This system is also used to check whether the plant is affected by any disease from its leaf image using image processing techniques and tested using MATLAB. The system mainly consists of Zigbee, GSM, sensors, controller and motor. The data from different sensors are aggregated to repeatedly monitor the soil moisture level, temperature level and humidity level in the farmland and the plant health status. Once the information is received by the sensor node, it is transmitted to the wireless node through a wireless protocol. This system uses Zigbee wireless module for data transmission from the end devices to the web server node. With the information from the web server node the farmer can monitor and control the irrigation automatically using android application.
  S. Geetha , AK. Sairah and F. Mariam-Aisha
  Premenstrual Syndrome (PMS) refers to a common psychosomatic disorder which about 30-50% of woman in the childbearing age suffer from mild to moderate form and 3-8% suffer from it in its severe form. This study was undertaken to determine the association between premenstrual syndrome and quality of life and to identify the most common physical and psychiatric symptoms of premenstrual syndrome and determine the management of premenstrual syndrome among female students. A total of 300 female university students were respondents involved in this study and data were collected through self-administered questionnaire. Questionnaire was developed which included socio-demographic, obstetrical history, symptoms of PMS and management of premenstrual syndrome. Health related QOL was measured using Short Form Health Survey (SF-36). Data obtained were then analyzed using Chi square, Anova and independent T-tests. This study revealed that the prevalence of PMS among the studied respondents was 69.7% and among them, 8.3% had severe form of PMS. While the mood swing (90.9%) and backache (78.9%) was identified as the most common psychiatric and physical symptoms, respectively. The study also showed that the burden of PMS on health related QOL was on those with PMS whom had lower scores in all scales. There is no significant differences were observed between scales of QOL according SF-36 in category of PMS. The most commonly used practice to overcome PMS symptoms was warm bathing (72.7%). Conclusively, PMS adversely affects QOL among female university students and is an important health problem. PMS is a prevalent yet undertreated which contributes to a disordered life among women. Therefore, to improve QOL of female students, constructive support should be provided to the affected female individual.
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