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Development of LIDAR-SLAM Integrated Low Cost Health Care Monitoring Robot with Sustainable Material
Beyond the global pandemic, healthcare has faced a myriad of challenges, from rising costs and accessibility issues to the need for precision in patient care and efficient medication delivery. This project embodies a visionary response to the multifaceted challenges faced by healthcare systems in health centers located in rural areas. The proposed research work focused on design and development of a health care monitoring robot with integration of 3D LIDAR Simultaneous Localization and Mapping (SLAM) based navigation approach, introduction of sustainable materials like bamboo and wood composites for development of robotic arm and robotic body frames. Also, from the initial tests it has been observed that with the developed mobile robot functions like precision medicine delivery, Open AI-Enabled continuous monitoring, hospital environment sanitization and emergency oxygen supply can be performed efficiently. 2024 IEEE. -
Development of multi-sensor smart robot for intelligent border security seurveillance system /
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. -
Development of nanocarbon sensors for atropine sulphate from orange peel /
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. -
Development of nitrogen-doped multilayer graphene derivative from coke for imaging biomarker applications /
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. -
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 perceived prenatal maternal stress scale
Background: Pregnancy is a state, which is often associated with extreme joy and happiness. Women undergo a number of physiological and psychological changes during pregnancy, which are often stressful if aligned with other adverse life events, compromising their health and well-being. However, there exists no comprehensive psychological instruments for measuring this stress. Objectives: The study was conducted to develop a multidimensional scale to assess prenatal maternal stress (PNMS) comprehensively. Methods: The initial phase of the study focuses on developing items and assessing the content validity of these items. The second phase focuses on pilot-testing and field-testing the newly developed perceived PNMS scale (PPNMSS) among 356 pregnant women belonging to different parity and trimester from November 2015 to October 2016. Results: The underlying factor structure of the 28-item PPNMSS had explored using exploratory factor analysis. The final scale is retained with 15 items having considerable item loading under four major factors as follows: perceived social support, pregnancy-specific concerns, intimate partner relations, and financial concerns. Reliability of each of these dimensions was assessed using Cronbach's alpha. Convergent and divergent validity of the scale was assessed by correlating the scores with perceived stress scale and the World Health Organization (five) well-being index (1998 version). Conclusions: As a comprehensive scale, PPNMSS is efficient to measure PNMS, which facilitates an early detection of stress and depression among pregnant women and timely intervention by health care professionals. -
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. -
Development of real-time traffic control system using digital image processing /
Patent Number: 202041038823, Applicant: Dr. P. Selvan.
In daily life, increasing number of vehicles leads to difficulty of monitoring and controlling them. Monitoring crime on peak time is a crucial process. In night time, it is very difficult to identify the type of vehicles due to unwanted light sources. In this system, the above difficulties are overcome by monitoring and controlling the traffic using real time video image processing and controlling. -
Development of smart energy monitoring using NB-IOT and cloud
IoT-based applications are growing in popularity nowadays because they offer effective answers to numerous current problems. In this research, With the aim of decreasing human efforts for monitoring the power units and increasing users' knowledge of excessive electricity usage, an IoT-based electric metre surveillance system utilising an Android platform has been developed. With the help of an Arduino Uno and an optical sensor, the electric analyser pulse is captured. To reduce human mistake and the expense of energy usage, a low-cost wireless network of sensors for digital energy metres is implemented alongside a smartphone application that can autonomously read the metre of the unit. In this research, an intelligent power monitoring system with effective communication modules has been developed to make wise use of the electricity. The controller, NB-IoT connection module, and cloud are the three main components of an IOT-based smart energy metre system. The controller is essential for maintaining the functionality of each component. This solution reduces the need for human involvement in electricity maintenance by connecting energy metres to the cloud using an NB-IoT communication module. The IoT-based metre reading system in the proposed work is created to monitor and analyse the metre reading, and the service provider can cut off the source of electricity whenever the customer fails to pay the monthly bill. It also eliminates the need for human intervention, provides accurate metre reading, and guards against billing errors. The proposed SPM improves the overall accuracy ranges of 7.42, 27.83, and 20% better than DR, OREM, and SLN respectively. 2023 -
Development of smart system to avoid triples and over speed control in two wheelers /
Patent Number: 202041033794, Applicant: E Immanuvel Bright.
In this current scenario, the traffic solutions for public transport are used in many countries and can be adapted and implemented on vehicles that are used for two wheelers. The aim of this innovation system is to avoid triples riding in two wheelers. Intelligent speed control and over speed control is currently used in our country. But traffic police are controlling only over speed in certain areas only.
Many accidents are created on triples riding and over speeding in two wheelers. -
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Development of the House of Collaborative Partnership to overcome supply chain disruptions: evidence from the textile industry in India
Collaboration in a supply chain becomes a significant competitive weapon for member firms in an uncertain business environment. The present study develops a model of supply chain collaboration named as House of Collaborative Partnership (HCP) and includes the enablers and impeders of a successful Collaborative Partnership (CP). Model development follows a three-phase process. The first phase consists of the identification of enablers and impeders of CP based on the literature review and experts opinions. The second phase applies Total Interpretive Structural Modelling (TISM) as a tool to construct hierarchical structures of the enablers and impeders of CP. The third phase deals with the development of HCP based on the hierarchical structures of enablers and impeders. The HCP is then validated with two case studies in the Indian textile industry. Eight enablers and seven impeders were identified in the first phase. After analyzing these factors with TISM, the HCP was developed consisting of four parts: Foundation, Columns, Beam, and Roof. The existence of trust, commitment to long-term collaboration, top management support, adequate financial support, ability to deal with technological changes, and providing regular training to employees constitute the HCP Foundation to achieve supply chain collaboration. The study concludes with the managerial implications of HCP to help supply chain partners in becoming resilient during an uncertain business environment. 2022 Informa UK Limited, trading as Taylor & Francis Group. -
Development through ICT: A study on teachers perspectives on challenges in online education for tribal students amid COVID-19
Online education became an integral part of the education system during the COVID-19 pandemic. All the schools, colleges and universities adopted new technology in teaching-learning pedagogy. Academicians and students were taught to practice online education with many challenges and difficulties. The Constitution of India includes many beneficial provisions to promote the integral development of scheduled tribes. It enables them and protects them from socioeconomic status and forms of exploitation. In Kerala, the Scheduled Tribes Development Department is implementing various programs for the educational, social and economic development of Scheduled Tribes. Kerala is the most literate state in India. It creates a strong academic foundation at the school level. Even though the COVID-19 pandemic spread throughout the world, the government continued education in the state through the VICTERS educational television channel with the help of various ICT tools. This studys objective is to determine the challenges faced by tribal students in the Idukki District of Kerala State in online education and to understand the social and technological challenges they face in the learning process. An in-depth interview method was adopted for the study. This qualitative study explored the perspectives of teachers who teach tribal students. 2025 Malque Publishing. All rights reserved. -
Development vs. Rights A Case for Sustainable Development of Onge Tribes of Little Andaman
Human rights and environmental protections are often violated as a consequence of development activities. In addition to harming the environment, this increases the marginalisation of those who are already marginalised. The development paradigm that is based on the interests of the majority not only tends to retard the indigenous people but also renders them incapable of competing with the majority. For the indigenous people, development has always been a problem rather than a solution. Development initiatives under the umbrella of globalisation with a label of monotony, ignore the aspects of the diverse livelihoods of many indigenous peoples. The Niti Aayog proposed in its vision document, the Sustainable Development of Little Andaman, in 2021, that the island should be developed into a megacity by utilising its natural features and strategic location. The long-term objective is to develop the island into a major financial tourism hub that can rival Hong Kong and Singapore. This plan will, on the one hand, advance commerce, employment, and economic growth; on the other hand, environmental conservation issues will also arise. Concerns over this vision document have indeed been voiced by several academics, environmentalists, and conservationists due to issues with Onge indigenous rights, ecological fragility, and earthquake and tsunami susceptibility. In this context, the research article aims to study and analyse the proposed megacity project and its impact on the rights of Onge tribes and the environment. Sahana Florence and Achyutananda Mishra, 2024. -
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Developmental prospects of carrageenan-based wound dressing films: Unveiling techno-functional properties and freeze-drying technology for the development of absorbent films A review
This review explores the intricate wound healing process, emphasizing the critical role of dressing material selection, particularly for chronic wounds with high exudate levels. The aim is to tailor biodegradable dressings for comprehensive healing, focusing on maximizing moisture retention, a vital element for adequate recovery. Researchers are designing advanced wound dressings that enhance techno-functional and bioactive properties, minimizing healing time and ensuring cost-effective care. The study delves into wound dressing materials, highlighting carrageenan biocomposites superior attributes and potential in advancing wound care. Carrageenan's versatility in various biomedical applications demonstrates its potential for tissue repair, bone regeneration, and drug delivery. Ongoing research explores synergistic effects by combining carrageenan with other novel materials, aiming for complete biocompatibility. As innovative solutions emerge, carrageenan-based wound-healing medical devices are poised for global accessibility, addressing challenges associated with the complex wound-healing process. The exceptional physico-mechanical properties of carrageenan make it well-suited for highly exudating wounds, offering a promising avenue to revolutionize wound care through freeze-drying techniques. This thorough approach to evaluating the wound healing effectiveness of carrageenan-based films, particularly emphasizing the development potential of lyophilized films, has the potential to significantly improve the quality of life for patients receiving wound healing treatments. 2024 Elsevier B.V.