Efficacy of Acupuncture in the Management of Primary Dysmenorrhea: A Randomized Controlled Trial

Geetha B. Shetty,Balakrishna Shetty,A. Mooventhan 사단법인약침학회 2018 Journal of Acupuncture & Meridian Studies Vol.11 No.4

Introduction: Dysmenorrhea constitutes one of the most frequent disorders in women of a fertile age. The present study was conducted to evaluate the efficacy of acupuncture in the management of primary dysmenorrhea. Materials and methods: Sixty females aged 17e23 years were randomly assigned to either a study group or a control group. The study group received acupuncture for the duration of 20 minutes/day, for 15 days/month, for the period of 90 days. The control group did not receive acupuncture for the same period. Baseline, during, and post assessments of both the groups were taken on day 1; day 30 and day 60; and day 90, respectively. Statistical analysis was performed by repeated measures of analysis of variance followed by post hoc analysis with Bonferroni adjustment for multiple comparisons, independent samples t test for visual analog scale score, and ManneWhitney U test for rest of the variables using statistical package for the social sciences, version 16. Results: This study showed a significant reduction in all the variables such as the visual analog scale score for pain, menstrual cramps, headache, dizziness, diarrhea, faint, mood changes, tiredness, nausea, and vomiting in the study group compared with those in the control group. Conclusion: Acupuncture could be considered as an effective treatment modality for the management of primary dysmenorrhea.

Implementation of Multiplierless Ramanujan Ordered Number DCT on FPGA

Geetha K. S.,Uttara Kumari M. 보안공학연구지원센터(IJSIP) 2012 International Journal of Signal Processing, Image Vol.5 No.3

A new multiplierless discrete cosine transform based on the Ramanujan ordered numbers for image coding

Geetha.K.S.,Uttara Kumari.M 보안공학연구지원센터(IJSIP) 2010 International Journal of Signal Processing, Image Vol.3 No.4

Genetic Persistency of First Lactation Milk Yield Estimated Using Random Regression Model for Indian Murrah Buffaloes

Geetha, E.,Chakravarty, A.K.,Vinaya Kumar, K. Asian Australasian Association of Animal Productio 2006 Animal Bioscience Vol.19 No.12

A random regression model was applied for the first time for the analysis of test day records and to study the genetic persistency of first lactation milk yield of Indian Murrah buffaloes. Wilmink's Function was chosen to describe the shape of lactation curves. Heritabilities of test day milk yield varied from 0.33 to 0.58 in different test days. The highest heritability was found in the initial test day ($5^{th}$ day) milk yield. Genetic correlations among test day milk yields were higher in the initial test day milk yield and decreased when the test day interval was increased. The magnitude of genetic correlations between test day and 305 day milk yield varied from 0.25 to 0.99. The genetic persistencies of first lactation milk yield were estimated based on daily breeding values using two methods. $P_1$ is the genetic persistency estimated as a summation of the deviation of estimated daily breeding value on days to attain peak yield from each day after days to attain peak yield to different lactation days. $P_2$ is the genetic persistency estimated as the additional genetic yield (gained or lost) from days to attain peak yield to estimated breeding value on different lactation days relative to an average buffalo having the same yield on days to attain peak yield. The mean genetic persistency on 90, 120, 180, 240, 278 and 305 days in milk was estimated as -4.23, -21.67, -101.67, -229.57, -330.06 and -388.64, respectively by $P_1$, whereas by $P_2$ on same days in milk were estimated as -3.96 (-0.32 kg), -23.94 (-0.87 kg), -112.81 (-1.96 kg), -245.83 (-2.81 kg), -350.04 (-3.28 kg) and -407.58 (-3.40 kg) respectively. Higher magnitude of rank correlations indicated that the ranking of buffaloes based on their genetic persistency in both methods were similar for evaluation of genetic persistency of buffaloes. Based on the estimated range of genetic persistency three types of genetic persistency were identified. Genetic correlations among genetic persistency in different days in milk and between genetic persistencies on the same day in milk were very high. The genetic correlations between genetic persistency for different days in milk and estimated breeding value for 305 DIM was increased from 90 DIM to 180 DIM, and highest around 240 DIM which indicates a minimum of 240 days as an optimum first lactation length might be required for genetic evaluation of Indian Murrah buffaloes.

Intuitionistic Fuzzy Expert System based Fault Diagnosis using Dissolved Gas Analysis for Power Transformer

Geetha Mani,Jovitha Jerome 대한전기학회 2014 Journal of Electrical Engineering & Technology Vol.9 No.6

In transformer fault diagnosis, dissolved gas analysis (DGA) is been widely employed for a long period and numerous methods have been innovated to interpret its results. Still in some cases it fails to identify the corresponding faults. Due to the limitation of training data and non-linearity, the estimation of key-gas ratio in the transformer oil becomes more complicated. This paper presents Intuitionistic Fuzzy expert System (IFS) to diagnose several faults in a transformer. This revised approach is well suitable to diagnosis the transformer faults and the corresponding action to be taken. The proposed method is applied to an independent data of different power transformers and various case studies of historic trends of transformer units. It has been proved to be a very advantageous tool for transformer diagnosis and upkeep planning. This method has been successfully used to identify the type of fault developing within a transformer even if there is conflict in the results of AI technique applied to DGA data.

Stochastic Gradient Descent Optimization Model for Demand Response in a Connected Microgrid

( Geetha Sivanantham ),( Srivatsun Gopalakrishnan ) 한국인터넷정보학회 2022 KSII Transactions on Internet and Information Syst Vol.16 No.1

Smart power grid is a user friendly system that transforms the traditional electric grid to the one that operates in a co-operative and reliable manner. Demand Response (DR) is one of the important components of the smart grid. The DR programs enable the end user participation by which they can communicate with the electricity service provider and shape their daily energy consumption patterns and reduce their consumption costs. The increasing demands of electricity owing to growing population stresses the need for optimal usage of electricity and also to look out alternative and cheap renewable sources of electricity. The solar and wind energy are the promising sources of alternative energy at present because of renewable nature and low cost implementation. The proposed work models a smart home with renewable energy units. The random nature of the renewable sources like wind and solar energy brings an uncertainty to the model developed. A stochastic dual descent optimization method is used to bring optimality to the developed model. The proposed work is validated using the simulation results. From the results it is concluded that proposed work brings a balanced usage of the grid power and the renewable energy units. The work also optimizes the daily consumption pattern thereby reducing the consumption cost for the end users of electricity.

Compact and Flexible Monopole Antenna for Ultra-Wideband Applications Deploying Fractal Geometry

Geetha G,Sandeep Kumar Palaniswamy,M. Gulam Nabi Alsath,Malathi Kanagasabai,T. Rama Rao 대한전기학회 2018 Journal of Electrical Engineering & Technology Vol.13 No.1

This paper presents a compact ultra-wideband (UWB) flexible monopole antenna design on a paper substrate. The proposed antenna is made of iterations of a circular slot inside an octagonal metallic patch. This fractal-based geometry has been deployed to achieve compactness along with improved bandwidth, measured reflection coefficient -10 ㏈ bandwidth ranging from 2.7 to 15.8 ㎓. The overall size of the antenna is 26 ㎜×19 ㎜×0.5 ㎜, which makes it a compact one. The substrate used is paper and the main features like environment friendly, flexibility, green electronics applications and low cost of fabrication are the key factors for the proposed antenna. The aforementioned UWB prototype is suitable for many wireless communication systems such as WiMAX, WiFi, RFID and WSN applications. Antenna has been tested for the effect of bending by placing it over a curved surface of a very small radius of 10 ㎜.

ROBUST NUMERICAL METHOD FOR SINGULARLY PERTURBED TURNING POINT PROBLEMS WITH ROBIN TYPE BOUNDARY CONDITIONS

GEETHA, N.,TAMILSELVAN, A. The Korean Society for Computational and Applied M 2019 Journal of applied mathematics & informatics Vol.37 No.3

We have constructed a robust numerical method on Shishkin mesh for a class of convection diffusion type turning point problems with Robin type boundary conditions. Supremum norm is used to derive error estimates which is of order O($N^{-1}$ ln N). Theoretical results are verified by providing numerical examples.

Designing Economic Reforms: The Cases of North Korea and Vietnam

Geetha Govindasamy,박창규,TAN ER WIN 통일연구원 2014 International journal of korean unification studie Vol.23 No.1

Since the death of Kim Jong-il in December 2011, it is apparent that his successor, Kim Jong-un, has embarked on a strategy of ‘Byongjin,’ or parallel development of nuclear weapons whilst simultaneously undertaking economic reform. It is apparent that the new leadership in Pyongyang is seeking an approach to increase agricultural output toease food shortages and improve the peoples’ standards of living, amidst continuing diplomatic isolation. Such circumstances appear set tocontinue, given the continuing poor relations that Seoul and Washingtonhave with Pyongyang, and the deterioration of Sino-North Korean relations. Set against this backdrop, we argue that there is potential forNorth Korea to look south, to the Association of Southeast Asian Nations(ASEAN), in attempting to develop a new model for economic reform. In particular, we note the success of Vietnam’s Doi Moi, in enablingthat country to overcome food shortages, raise living standards, stimulate rapid economic growth, and emerge from diplomatic isolation.

ROBUST SPEED SENSORLESS INDUCTION MOTOR DRIVES

Geetha E.K,T.Thyagarajan,Vedam Subrahmanyam 전력전자학회 2007 ICPE(ISPE)논문집 Vol.- No.-

Induction motors are widely used in industry due to the fact that they are relatively cheap, rugged and maintenance free. As a consequence, much attention has been given to the motor torque and speed control. The control schemes available today require information regarding speed of the motor, which can either be obtained by using speed sensors or without speed sensors. Speed sensors have several disadvantages from the standpoint of drive cost, reliability, inertia and noise immunity. Advantages of eliminating speed sensors thus have been a strong motivation to develop speed sensor less induction motor drives for industrial drives. Several control strategies of sensor less control are available in literature. This paper is an attempt to explore the possibility of estimation of rotor speed with the help of extended Kalman filter trained recurrent Neural Network. The speed estimation is made robust by simultaneously adapting the rotor resistance and rotor flux which are also done by the same Neural Network. The training is very fast as it requires only one iteration. The proposed scheme is studied on an induction motor and it gives better performance as compared to the already existing algorithms in the literature.