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Creator Title Type Subject
R, Arokia Paul Rajan.Development of an intelligent health monitoring system integrated with mobile application through IOT /PatentMechanical Engineering
Type:Patent
Subject:Mechanical Engineering
Description:Patent Number: 202041053102, Applicant: Dr.A.Narasima Venkatesh. An Intelligent health measuring system measures the vital health parameters like blood pressure, heart beat blood sugar, body position and temperature of the user or the patient. The non-invasive sensors are used to measure the health parameters easily without causing any disturbances to the patient or the user. [show more]
MADAAN SHIVANIDevelopment of "B'O Sports -A-Digi-Game" Educational Package to EnhanceBasic Mathematical Operations in Grade 2 Children
N, Arul Kumar.Development of big data analytics for intelligent industrial manufacturing based on wireless and IOT technology /PatentCommunication
Type:Patent
Subject:Communication
Description:Patent Number: 202141041225, Applicant: Mrs. Vaishali Gajendra Shende. The global network interconnecting physical devices such as mechanical machines, sensors, computing devices, actuators, objects, smart applications and people is termed as Internet of Things (IoT) which has become significant part of several applications. In industrial applications, abundant amount of data is generated during the manufacturing process, which is heterogeneous, massive and time sensitive bringing substantial challenges in real time data collection, its processing and thereby decision making. In this invention, we develop a novel framework for big data analytics for intelligent industrial manufacturing based on Internet of Things for managing the huge data generated in industries for controlling smart manufacturing and for supporting online process of industrial monitoring. [show more]
George, Jossy P - 0945001Development of efficient biometric recognition algorithms based on fingerprint and face
PhDComputer Science
Type:PhD
Subject:Computer Science
Description: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 subject’s body. [show more]
George Jossy PDevelopment of efficient biometric recognition algorithms based on fingerprint and face /
Description: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. [show more]
H K, Thejas.Development of empirical formulas to determine the shear planes /PatentMechanical
Type:Patent
Subject:Mechanical
Description:Patent Number: 202141033078, Applicant: Nanjunda K N. The determination of shear planes is very essential in order to determine the design capacity of bolted joint due to single shear force or double shear force acted in either in lap joint or but joint. The shear plane is the plane between two or more pieces under the load where the pieces tend to move parallel from each other, but in opposite directions. The shear planes for lap joint and but joint with double cover plates with numbers of bolts are analysed. From this result empirical formulas are developed. [show more]
Sneha Vinay Haritsa - 1951073Development of family intervention for the management of psychogenic seizures a qualitative studyPhDPsychology
Type:PhD
Subject:Psychology
K B AkshayaDevelopment of fluorescent probes and their

analytical applications
Beulah MDevelopment of Genetic Algorithm Based Neural Network Model for Predicting Strength of High Performance ConcreteArticleDepartment of Civil Engineering
Type:Article
Subject:Department of Civil Engineering
Description:Volume 3, Issue -2, ISSN: 2248-9622
Beulah MDevelopment of Genetic Algorithm based Neural Network Model for Predicting Workability and Strength of High Performance ConcreteArticleDepartment of Civil Engineering
Type:Article
Subject:Department of Civil Engineering
Description:International Journal of Inventive Engineering and Sciences (IJIES), Vol.2, Issue 6, ISSN : 2319-9598.
Beulah MDevelopment of Genetic Algorithm based Neural Network Model For Predicting Workability and strength of High Performance Concrete.ArticleDepartment of Civil Engineering
Type:Article
Subject:Department of Civil Engineering
Description:Volume-2 Issue-6, May, ISSN 23199598
B, Manoj.Development of highly fluorescent nano-carbon sensor from ruta graveolens /PatentPhysics
Type:Patent
Subject:Physics
Description:Patent Number: 202241007109, Applicant: Joseph, Neethu. The present invention offers eco-friendly, green synthesis of cost-effective and scalable nano-carbon structures with potential fluorescence property facilitating its application in fluorescence sensing and antibacterial studies. The synthesized nanostructure reveals high fluorescence exhibiting its potential to be used for fluorescence-based sensing studies. The synthesized nano-carbon has excellent heavy metal ion sensing potential, which is verified through fluorescence spectroscopic studies. [show more]
Hebbar, Gurumoorthy S.Development of HVOF-sprayed TIO2-CR2O3 composite coatings on aluminium dies used in the production of areca leaf plates /PatentBiotechnology
Type:Patent
Subject:Biotechnology
Description:Patent Number: 202241001377, Applicant: Keshavamurthy R. HVOF sprayed Titanium Dioxide and Chlorium oxide coatings were developed by spraying the composition over aluminium dies used in Areca leaf plate manufacturing applications. The invention focuses on protecting the aluminium plate by using coating for enhancing theperformance for developing large scale areca leaf plates. [show more]
G S, Pradeep Kumar.Development of HVOF-sprayed TIO2-CR2O3 composite coatings on aluminium dies used in the production of areca leaf plates /PatentBiotechnology
Type:Patent
Subject:Biotechnology
Description:Patent Number: 202241001377, Applicant: Keshavamurthy R. HVOF sprayed Titanium Dioxide and Chlorium oxide coatings were developed by spraying the composition over aluminium dies used in Areca leaf plate manufacturing applications. The invention focuses on protecting the aluminium plate by using coating for enhancing theperformance for developing large scale areca leaf plates. [show more]
Gupta, Chabi.Development of IOT based household health safety system /PatentBio-Medical Engineering
Type:Patent
Subject:Bio-Medical Engineering
Description:Patent Number: 202141012686, Applicant: Dr. R. Kumaravelan. IoT opens the pathway of modernized health care and safety systems to monitor the physical parameters of the persons. But the emerging count of accidents and deaths occur inside the houses are created the necessity of making real-time monitoring and identification systems to rescue the affected person whoever got injured inside the house. Thus to provide this systematic approach the combination of sensors and the micro-controller unit with IoT will help to provide the accurate and optimistic response for the recovery of the persons injured. [show more]
P, Palpandian.Development of multi-sensor smart robot for intelligent border security seurveillance system /PatentRobotics
Type:Patent
Subject:Robotics
Description:Patent Number: 202141033795, Applicant: Dr Yarrapragada K S S Rao. For nation defense and security, border monitoring is the essential activity. To keep the peace and protect the population, borders must be constantly monitored. With actions like terrorist infiltrations and illicit movement of living and non-living creatures becoming so commonplace, the borders are more important than ever to secure. It's the least that can be done to prevent border incidents from occurring in the first place by ensuring continuous oversight. In the present situation, the border security personnel monitor the borders manually. Manpower and assets are needed since the boundaries span hundreds of kilometers, and the topography and climatic conditions are severe. [show more]
B, Manoj.Development of nanocarbon sensors for atropine sulphate from orange peel /PatentPharmaceuticals
Type:Patent
Subject:Pharmaceuticals
Description:Patent Number: 202041033633, Applicant: A V Ramya. The present invention provides various facile synthesis routes for simple, low-cost, scalable production of different nanocarbon allotropes from orange peel, for quantitative determination of Atropine Sulphate. The different synthesis methods include microwave pyrolysis of orange peel, acidic oxidation of microwave pyrolyzed orange peel, hydrothermal reaction of acidic oxidized orange peel, chemical exfoliation of microwave pyrolyzed orange peel and hydrothermal reaction of chemically exfoliated orange peel. [show more]
B, Manoj.Development of nitrogen-doped multilayer graphene derivative from coke for imaging biomarker applications /PatentMaterials Science
Type:Patent
Subject:Materials Science
Description:Patent Number: 202241032250, Applicant: Riya Thomas. The present disclosure pertains to the methods of preparing nitrogen-doped multilayer graphene derivative via one-pot hydrothermal method utilizing a kind of high-rank coal termed, coke. The prepared nitrogen-doped multilayer graphene derivative possesses excellent fluorescence, long fluorescence lifetime, and, high quantum yield appropriate for bio-related applications. [show more]
Keerthana P - 2071405Development of optical and electrochemical sensor for environmental pollutants /
PhDChemistry
Type:PhD
Subject:Chemistry
Varghese AnuDevelopment of Positive Self: Exploring the Experiences of Psychotherapists
Description: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 [show more]