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Development of Efficient Biometric Recognition algorithms based on Fingerprint and Face
The reliable verification systems are required to verify and confirm the identity of an individual requesting their service. Secure access to the buildings, laptops, cellular phones, ATM etc. is an example of such applications. In the absence of robust verification systems, these systems are vulnerable to the wiles of an impostor. The traditional ways of authentications are passwords (knowledge based security) and the ID Cards (token based security). These methods can be easily breached due to the chance of stolen, lost or forget. The development and progress of biometrics technology, the fear of stolen, lost or forget can be eliminated. Biometrics refers to the automatic identification (or verification) of an individual (or a claimed identity) by using certain physiological or newlinebehavioral traits associated with the person. newlineThe biometrics identifies the person based on features vector derived from physiological or behavioural characteristics such as uniqueness, permanence, accessibility, collectability with minimum cost. The newlinephysiological biometrics are Fingerprint, Hand Scan, Iris Scan, Facial Scan and Retina Scan etc., and behavioural biometric are Voice, Keystroke, Gait, Signature etc., The physiological biometrics measures the specific part of the structure or shape of a portion of a subject s body. But the behavioural biometric are more concerned with mood and environment.Chapter one presents the introduction to biometrics and its various newlinetraits. Further description like structure of the biometric system, different newlineapproaches are discussed. Also the design issues in biometric system such as universality, collectability, distinctiveness, permanence, acceptability, newlineuniqueness, performance, circumvention etc., are discussed. Chapter two gives a detailed survey of biometric techniques. It includes the literature survey of fingerprint and face biometric traits and various approaches. -
Development of efficient biometric recognition algorithms based on fingerprint and face /
The reliable verification systems are required to verify and confirm the identity of an individual requesting their service. Secure access to the buildings, laptops, cellular phones, ATM etc. is an example of such applications. In the absence of robust verification systems, these systems are vulnerable to the wiles of an impostor. The traditional ways of authentications are passwords (knowledge ?? based security) and the ID Cards (token ?? based security). These methods can be easily breached due to the chance of stolen, lost or forget. The development and progress of biometrics technology, the fear of stolen, lost or forget can be eliminated. Biometrics refers to the automatic identification (or verification) of an individual (or a claimed identity) by using certain physiological or behavioral traits associated with the person. The biometrics identifies the person based on features vector derived from physiological or behavioural characteristics such as uniqueness, permanence, accessibility, collectability with minimum cost. The physiological biometrics are Fingerprint, Hand Scan, Iris Scan, Facial Scan and Retina Scan etc., and behavioural biometric are Voice, Keystroke, Gait, Signature etc., The physiological biometrics measures the specific part of the structure or shape of a portion of a subjects body. But the behavioural biometric are more concerned with mood and environment. Chapter one presents the introduction to biometrics and its various traits. Further description like structure of the biometric system, different approaches are discussed. Also the design issues in biometric system such as universality, collectability, distinctiveness, permanence, acceptability, uniqueness, performance, circumvention etc., are discussed. Chapter two gives a detailed survey of biometric techniques. It includes the literature survey of fingerprint and face biometric traits and various approaches. In Chapter three, the algorithm of Fingerprint Verification based on Dual Tree Complex Wavelet Transformation (DTCWT) is proposed. The original fingerprint is cropped and resized to apply the DTCWT. The features of Fingerprint are obtained by applying different levels of DTCWT. Performance analysis is discussed with the FRR, FAR and TSR. Chapter four discusses another highly recommended source of authentication such as face recognition. In this chapter, the algorithm of Performance Comparison of Face Recognition using Transform Domain Techniques (PCFTD) is proposed. The face databases L ?? Spacek, JAFFE and NIR are considered. The features of face are generated using wavelet families such as Haar, Symelt and DB1 by considering approximation band only. The face features are also generated using magnitudes of FFTs. The test image features are compared with database features using Euclidian Distance (ED). The performance parameters such as FAR, FRR, TSR and EER computed using wavelet families and FFT. The methodology described in this paper is accurate, simple, fast and better than the existing algorithms. Chapter five presents conclusion and future work. -
Development of Family Intervention for Management of Psychogenic Seizures : A Qualitative Study
Background: In the somatoform and dissociative spectrum, family functioning has been poorly researched based on the search in PubMed, Google Scholar, Science Direct, PROQUEST, EBSCO and Cochrane Reviews. In Psychogenic Non-Epileptic Seizures (PNES) primarily, family functioning has been understood as a comparison between Epileptic Seizures (ES) and PNES. However, an attempt to study different aspects of family functioning and its ability to influence the newlinemanifestation of the disorder is yet to be made. Methods: This study attempted to understand different family functions qualitatively by interviewing both the patients and family members of these patients. Nine patients and seven families of these patients participated in the study. Braun and Clarke s thematic model was used. Latent thematic analysis was used to analyse the data. Based on the analysis, major and sub-themes were used to develop family intervention and a family psychoeducational model. Both were developed with the help of the GUIDED Checklist to report health interventions; the TIDieR format and Delphi newlinetechnique was used to collect the expert opinion of the developed intervention. newlineResults: Two sets of results and analyses were compiled with qualitative data, that is, for patients and families. Major themes and sub-themes were developed for both, including family interaction, attachment, poor communication, structural-systemic aspects, distressful family aspects, negative newlineexpressed emotions, cultural aspects, nature of the illness, family s views of the illness and coping mechanisms. These themes indicated the importance of family functioning and its impact on the manifestation of the disorder. newlineConclusion: The researcher concludes that family dysfunction can impact the manifestation of the disorder. Hence, an additional family intervention or psychoeducation is essential for holistic newlinetreatment. -
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Development of Optical and Electrochemical Sensor for Environmental Pollutants
Carbon nanocomposites have garnered much attention among various nanomaterials newlineowing to their well-defined characteristics, such as large surface area, biocompatibility, newlineand concise synthetic routes. They are also a viable contender for fluorescence and newlineelectrochemical applications, notably sensing, due to their intriguing photoluminescence and electrochemical features. Fluorescence and Electrochemical sensors for environmental pollutants are constructed using carbon quantum dots with different surface functionalization (functionalized with boric acid, organic dyes, polymer composite, and 2-aminothiazole). The developed sensor was considered as potential material for detecting heavy metal ions and organic pollutants. Surface morphology was analyzed using Transmission electron microscopy (TEM), an X-ray diffraction pattern (XRD), Raman spectra, X-Ray Photoelectron spectroscopy newline(XPS), Optical Profilometry, and Fourier Transform Infrared Spectroscopy (FTIR) newlinestudies. UV-Visible and photoluminescence spectroscopy reveals the absorption, newlineemission, and excitation spectra for the synthesized sensor with and without the addition of analytes. In electrochemical investigations, Nyquist plots showed that the modified working electrodes had the lowest charge transfer resistance when compared to other working electrodes. The effect of pH, ionic strength, long-term storage ability, and quantum yield were optimized for the fabricated fluorescence sensor. For the newlineelectrochemical sensor, the influence of the scan rate and the appropriate thickness of newlinethe electrodeposited film was carefully examined in order to achieve the highest current responsiveness and potential window. Quantification of the analytes was performed newlineusing Forster resonance energy transfer (FRET), Differential Pulse Voltammetry (DPV), newlineand the square wave voltammetry technique (SWV). The designed sensor was used to newlinecarry out analytical corroboration for the real samples. -
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Development of personalized diet and exercise recommender system based on clinical data
The present health scenario indicates that thyroid diseases are a common challenge experienced by most individuals. According to the statistics in India, one out of eight women suffer from thyroid-related conditions. Hyperthyroid, hypothyroid, or thyroid cancer are categories of thyroid disorder. It is imperative to maintain optimum levels of secretion of the thyroid hormones as the imbalance could lead to thyroid diseases. Therefore, thyroid patients must be vigilant regarding their iodine intake and follow a customized daily diet and exercise plan. The diet plan, along with balanced iodine levels, must also be able to meet the patient's nutritional needs. A personalized diet plan could help thyroid patients to be more aware and focused on their body metabolism. Existing recommender systems usually provide generic diet recommendations, and unfortunately, it may not be beneficial to patients suffering from a specific disease. Content-based Neighborhood-Conditional RBM (CB-NCRBM) model has posited to recommend Top-3 diet and exercise plans for thyroid patients. The proposed model considers the joint probability distribution of different scores using the user profile. Similarly, preference and health scores are estimated based on content features. The model feeds these scores as visible units to conditional RBM. The proposed model also integrates several content-based features such as users' physiological profiles, thyroid disease information, food, and exercise preferences. The proposed recommender model validates the experimental results using recommendation error and classification accuracy metrics. The proposed hybrid model outperforms several popularly used recommendation models, such as collaborative filtering, content-based, and pure RBM models. The system also provides a feedback loop to enhance the quality of the recommended diet and exercise plans based on user experience. -
Development of Positive Self: Exploring the Experiences of Psychotherapists
Mental health professionals cater to the needs of people in distress. They utilise cognitive and emotional resources to completely empathise with the clientele and it can often lead to distress because helping profession is more prone to burnout. The benefits of practicing psychotherapy outweigh the hazards if they can bring work-life balance by creating a boundary between personal and professional lives. The aim of the current study was to explore the meaning and significance of professional experiences in the development of positive self. Seven psychotherapists with minimum ten years of experience participated in the study. Using semi structured in-depth interviews details about professional experience and the impact on personal life was explored. The data was analysed using thematic analysis. The study found the indicators of positive self as high self esteem, high self efficacy, experiencing positive emotions, signs of wisdom, hopeful behaviour, high optimism, self regulation, experiencing gratitude and forgiveness. Work experiences and coping strategies influenced the development of positive self. The results of the study can be used in training programmes for psychotherapists and building the conceptual model of positive self. keywords: psychotherapists, positive self, positive emotional state, functional coping strategies, professional growth, prosocial behaviour -
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Development of Privacy Preserving Machine Learning Techniques Using Secure Multi-Party Computation
Machine learning (ML) has brought about a paradigm shift in insight generation across various domains, including healthcare, finance, and pharma, by leveraging historical data. However, the effectiveness of ML solutions hinges on the seamless collaboration between data owners, model owners, and ML clients while ensuring that privacy concerns are meticulously addressed. Unfortunately, existing privacy-preserving solutions have not been able to offer efficient and confidential ML training and inference. This has led to an increased focus on Privacy-Preserving Machine Learning (PPML), which has become a flourishing area of research aimed at safeguarding the privacy of machine learning stakeholders. In this regard, the present research introduces novel techniques for private ML inference and training of models using Secure Multi-Party Computation (SMPC) and Differential Privacy (DP) methods on horizontally and vertically partitioned datasets. The proposed techniques are implemented using Python with open-source libraries such as SyMPC and PyDP to ensure confidential inference and model protection. The findings across various parameters illustrate the effectiveness of the suggested techniques in addressing the privacy concerns of model owners and inference clients, with no significant impact on accuracy and a linear influence on performance as the privacy parameters, such as secure nodes count within the SMPC cluster. are increased. Furthermore, the privacy gain is substantiated by information privacy measures such as Mutual Information and KL-Divergence across different privacy budgets, which demonstrate empirically that privacy can be preserved with high ML accuracy and minimal performance cost. -
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Didacticism in popular bollywood films: A study on Raikumar Hirani's directional films /
The dissertation titled “Didacticism in Popular Bollywood Films: A Study on Rajkumar Hirani's Directorial Films,” speaks about the representation of didactic elements in popular Bollywood films. Didacticism is a philosophy that has been employed in various artistic endeavours from time before the Ancient Greeks. This philosophy believes that any piece of literature or art are meant to both entertain and educate. Popular cinema is also an artistic medium and has the ability to attract a number of people. Popular Bollywood Cinema helps us to understand a lot about the culture and lifestyle of the people. -
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Discrimination and Coping of Old Settlers in Sikkim
The study was conducted to explore the existence and manifestation of discrimination in Sikkim. In the Indian context, race-based discrimination has been extensively studied from the point of view of the northeasterners residing in mainland India. An important reason for this is the differences in race, culture, language, and minority status of the northeasterners in mainland India. However, within the northeastern states all of the above mentioned aspects are reversed newlineand the minority is the mainland Indian community, race-based discrimination has not been studied. Sikkim was considered as the region for study as it is part of the sister states of the northeastern region and the Rajya Sabha Committee on Petitions has acknowledged that discrimination has been practiced in the state. An exploratory sequential mixed design was adopted for the newlinestudy. Eleven telephonic semi-structured interviews were conducted for the qualitative phase with members of the old settlers of Sikkim. A survey was conducted for the quantitative phase. Thematic analysis revealed two global theme, five organizing themes and 44 basic themes. Survey method revealed that 51% of old settlers felt discriminated daily in Sikkim. The results newlinerevealed that race based discrimination does exist in Sikkim with it being purported at newlineinstitutional and interpersonal levels. -
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Divergent Synthesis of Azole Tailored Compounds and Their Biological and Photoluminescence Applications
Producing a library of diverse compounds with minor structural differences can provide newlinevaluable information related to the structure-activity relationship (SAR), which would not be possible by studying just one molecule. The main goal of the divergent synthesis approach is to efficiently create a collection of valuable compounds, which is different from the traditional methods of making compounds in a linear or convergent way. This approach, known as divergent synthesis, helps select the best compound from the group for its applications. In the newlinecurrent study, the focus is on synthesizing different types of azoles, such as Thiazole Schiff bases, fused tetrazoles, substituted imidazole, and 1H-tetrazoles, and exploring their potential uses in biological and photoluminescence studies. Several methods were utilized to synthesize the derivatives of azole compounds. The synthesized molecules were examined and identified using techniques like 1HNMR, 13CNMR, Mass spectrometry, and IR spectroscopy. After creating a library of molecules, they were evaluated for their potential applications in biology and photoluminescence. The most promising molecule was selected from the preliminary evaluation for further investigation. newlineThiazole Schiff bases were synthesized, and their photoluminescence properties were newlineinvestigated. Among the synthesized compounds, the bromo derivative showed the most promising results in developing fluorescent organic nanoparticles with versatile applications. The compound delivered exceptional results in aggregation-induced emission (AIE), viscochromism, detection of Al3+ions, pH sensing, latent fingerprint detection, and cell imaging. Synthesis of fused azole-derivatives was accomplished using the organo-catalyst 10- newlinecamphor sulfonic acid. Detailed optimization and mechanistic studies were conducted, along newlinewith evaluating the antifungal activity against Candida tropicalis ATCC 10231 for the newlinesynthesized compounds. -
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Divorce prevention programme an intervention based on qualitatively derived psychological themes from newlywed distressed and divorced couples
This study has aimed to develop a competent intervention program as a preventive measure to tackle the increasing divorce rate in the current Indian scenario. Towards this end, the study has been arranged in three phases, with specific objectives guided by specific research questions in each phase. Holding pragmatic philosophical stance, a mixed method framework has directed the entire study, precisely, exploratory mixed design. newlineThe first phase of the study has focused on investigating the in-depth psychological components or etiology of marital distress and divorce in the problem context. Using an Interpretative Phenomenological Analysis (IPA) design, the lived marital experiences of 14 separated and 36 divorced (n=50) newlywed participants has been rigorously explored. Five superordinate themes along with 23 subordinate and 35 emergent themes have been derived in the data analysis, as reasons for marital distress and divorce in newlywed couples. newlineThe challenge of the second phase was to spin a proficient intervention program that is competent to address the identified reasons for marital distress, during the phase-one of the study. Towards this target, the theoretical framework developed by Hughes (1994, 2012 and 2014), Framework for Developing Family Life Education Programme is the model utilized. Following the five steps in the Hughes s framework, the intervention program has been designed and titled Divorce Prevention Programme (DPP). Finally, the phase three task of the study includes experimentation over the immediate and short-term (two-month) effect of the DPP as to what extent marital satisfaction and consummate love would improve to prevent divorce. The pretest, posttest experimental, and waitlist control group design was utilized with a two months follow-up with the experimental group.