An AC-AC High Frequency Pulse Density Modulated Full Bridge Series Resonant Converter for Induction Heating Application

This paper deals with a new AC – AC single stage full bridge series resonant converter for induction heating application. The proposed system is simulated with high power density modulation technique to produce a output power of 1.8Kw.The main feature of the proposed converter is to reduce the total harmonic distortion produced in the output current for the switching frequency of 29Khz.Asymmetrical pulse density modulation technique is proposed to achieve maximum output power with less harmonic content. It is found that the THD of the proposed high power density modulated converter is 13.43%. Here, the validity of the proposed converter for domestic induction heating application is compared and summarized

Comparison Of Modified Dual Ternary Indexing And Multi-Key Hashing Algorithms For Music Information Retrieval

In this work we have compared two indexing algorithms that have been used to index and retrieve Carnatic music songs. We have compared a modified algorithm of the Dual ternary indexing algorithm for music indexing and retrieval with the multi-key hashing indexing algorithm proposed by us. The modification in the dual ternary algorithm was essential to handle variable length query phrase and to accommodate features specific to Carnatic music. The dual ternary indexing algorithm is adapted for Carnatic music by segmenting using the segmentation technique for Carnatic music. The dual ternary algorithm is compared with the multi-key hashing algorithm designed by us for indexing and retrieval in which features like MFCC, spectral flux, melody string and spectral centroid are used as features for indexing data into a hash table. The way in which collision resolution was handled by this hash table is different than the normal hash table approaches. It was observed that multi-key hashing based retrieval had a lesser time complexity than dual-ternary based indexing The algorithms were also compared for their precision and recall in which multi-key hashing had a better recall than modified dual ternary indexing for the sample data considered.Comment: 11 pages, 5 figure

AN EXPERIMENTAL STUDY OF STUDENT’S ATTITUDE TOWARDS THE ADOPTION OF MOBILE SHOPPING WITH MILLENNIALS

Purpose of the study: An increasing usage Web in India offers online purchasing opportunities and it has become a popular marketing channel. To open the way for the latest concept called mobile commerce, it created the other catch up. Generally buying intention, offline or online is highly influenced by customer attitude. In the context of mobile shopping, the aim of this present study continues to analyze the variables which influence the attitude of the student towards buying intention. Methodology: This work is quantitative and focused on primary data collected from an online survey from the young millionaire who is all Smartphone users. Based on TAM and UTAUT2 we adopted and modify the model and it was tested on the information set of 533 samples by smart PLS 2.0. Main Findings: The statistical results revealed which performance expectancy, Facilitating condition and social influence have a direct positive effect on attitude. Moreover, the attitude was positively related to Purchase intention among young millionaire. Finally, the research result is analyzed and discussed. Implications are highlighted for the current study and research along with limitations and directions for the future are pointed out. Applications of this study: This article includes particle mobile shopping in India, and it is will promote huge contributions in mobile commerce research. Novelty/Originality of this study: The existing studies survey indicates that a variety of variables were studied in the sense of millennials ' mobile shopping adoption and limited success has been published on these factors. Furthermore, the study has been done to examine millennial attitudes towards mobile shopping adoption and especially to study factors that can influence millennials' shopping attitudes through mobile internet

Social Thoughts in Ambai's Short Stories

Ambai a Tamil Nadu woman writer who has highlighted the feminist voice for the emancipation of women in society and their strong personality development through her writings on the history of modern Tamil literature, has created in her short stories an understanding of the existence, challenges and place of women in society and her place in the social platform with a keen interest in her life. She has written about the problem of dowry in the social sphere, unrestrained male-female friendships, and women's sexual problems. Predictions about women-dependent fathers, husbands, brothers, companionship are also present in the short stories of the various instances of human relationship persistence. He is also a prolific writer of feminist issues. Who was supportive of the female class. The narrative that emerges in his stories has shaped each narrative to suit each period. Depicts the problems faced by women in the positions of mother, daughter, wife etc. where the woman is placed second. There have also been reports of sexual violence against women and young girls. The purpose of this review article is to express social thought through her works on the notion that women suffer in society because of their ‘virginity’ and the idea that women should be left out of traditional thinking and build a new world for themselves

CYTOMORPHOLOGICAL DETECTION OF MALIGNANT EFFUSIONS IN NON-HODGKIN LYMPHOMA: AN INSTITUTIONAL EXPERIENCE IN A DEVELOPING COUNTRY

Objective: Lymphomatous effusions of the body cavity may be the presenting feature or develop later as a complication of systemic disease. The detection rate of lymphoma in cytologic specimen is low, especially in the absence of clinical details and ancillary studies. The present study was carried out to identify light microscopic features that are useful in identifying lymphomas on effusion cytology. Methods: A 5-year retrospective study of all patients with fluid cytology or tissue biopsy reported as suspicious or positive for non-Hodgkin lymphoma (NHL) in a tertiary care was done. The cytology, histopathology, and immunohistochemistry slides were reviewed. Results: A total of 27 cases were included in the study. Correlation with the histopathological sections of all the positive cases revealed that the cytomorphology of the abnormal lymphoid cells was monomorphous and similar to those seen in the tissue biopsy. Mercury drop karyorrhexis when present was characteristic of lymphomatous effusions. The detection rates of large cell lymphomas are higher than low-grade counterparts. Non-lymphomatous effusions showed heterogeneous lymphoid cell population and lacked karyorrhexis. Conclusion: Lymphomas can give rise to effusions. In the absence of resources in developing countries, it is important to distinguish lymphomatous effusion from a reactive process based on morphology. Monomorphous population of the lymphoid cells and presence of mercury drop karyorrhexis are useful morphological clues in identifying a lymphomatous effusion. Further, tuberculosis is a common non-neoplastic process that can be mistaken for a low-grade NHL

Human Activity Behavioural Pattern Recognition in Smarthome with Long-hour Data Collection

The research on human activity recognition has provided novel solutions to many applications like healthcare, sports, and user profiling. Considering the complex nature of human activities, it is still challenging even after effective and efficient sensors are available. The existing works on human activity recognition using smartphone sensors focus on recognizing basic human activities like sitting, sleeping, standing, stair up and down and running. However, more than these basic activities is needed to analyze human behavioural pattern. The proposed framework recognizes basic human activities using deep learning models. Also, ambient sensors like PIR, pressure sensors, and smartphone-based sensors like accelerometers and gyroscopes are combined to make it hybrid-sensor-based human activity recognition. The hybrid approach helped derive more activities than the basic ones, which also helped derive human activity patterns or user profiling. User profiling provides sufficient information to identify daily living activity patterns and predict whether any anomaly exists. The framework provides the base for applications such as elderly monitoring when they are alone at home. The GRU model's accuracy of 95\% is observed to recognize the basic activities. Finally, Human activity patterns over time are recognized based on the duration and frequency of the activities. It is observed that human activity pattern, like, morning walking duration, varies depending on the day of the week

IN VITRO ANTI BACTERIAL ACTIVITY OF CLOVE AND PEPPER ON STREPTOCOCCUS MUTANS

Dental caries is an oral disease of bacterial origin that causes demineralization and destruction of tooth structure. Streptococcus mutans is Grampositivebacteriathat playa vitalrolein the formationof toothdecay.Insteadof opting forsyntheticantibacterialsubstances, naturaltherapycanbefollowed.Variousspices havebactericidalpropertiesthatcanbeusedtopreventtoothdecay.Cloveis an herb,usedas a spicethat haseffectivebactericidalaction.Black pepperhasbeennamedthe black goldâ€foritswide therapeuticuses. Theeffectof thesespicesonStreptococcusmutantsisstudiedusingdisc diffusiontechnique.The resultsobtained fromour studyshowsthat thetwoextractshavegot a verygoodantibacterialactivityagainstS.mutans.Keywords: Bactericidal, Cariogenic, Dental caries, Disc diffusion

Structure and Rheology of the Defect-gel States of Pure and Particle-dispersed Lyotropic Lamellar Phases

We present important new results from light-microscopy and rheometry on a moderately concentrated lyotropic smectic, with and without particulate additives. Shear-treatment aligns the phase rapidly, except for a striking network of oily-streak defects, which anneals out much more slowly. If spherical particles several microns in diameter are dispersed in the lamellar medium, part of the defect network persists under shear-treatment, its nodes anchored on the particles. The sample as prepared has substantial storage and loss moduli, both of which decrease steadily under shear-treatment. Adding particles enhances the moduli and retards their decay under shear. The data for the frequency-dependent storage modulus after various durations of shear-treatment can be scaled to collapse onto a single curve. The elasticity and dissipation in these samples thus arises mainly from the defect network, not directly from the smectic elasticity and hydrodynamics.Comment: 19 pages inclusive of 12 PostScript figures, uses revtex, psfrag and epsfig. Revised version, accepted for publication in Euro. Phys. J. B, with improved images of defect structure and theoretical estimates of network elasticity and scalin