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A predictive system for determining the probability of transfer of viruses from animals to humans /
"Patent Number: 202141012175, Applicant: Rajesh R.
The study of viruses transmission from animal to human beings is vital since more outbreaks are happing frequently and from a veterinary viewpoint these viruses causes diseases that are economically devastating. The emergence of animal virus in the human population seeks the importance of animals in harbouring infectious agents. Zoonosis is the scientific term referring to any diseases that are transmitted to people by animals. -
Ant colony optimization based algorithm for detection of down syndrome /
Patent Number: 202141013924, Applicant: Vincydevi V K.
Nowadays, the systems related to healthcare are restructured with innovative skills like machine learning and artificial intelligence to offer humans more intellectual and proficient healthcare facilities. Various intelligent healthcare systems are exhibited with the help of big data and mobile computing devices to offer intellectual and expert services. Also, the increase in medical data leads to different issues for managing, storing, and processing data. -
Wooden iron box folder for safe ironing /
Patent Number: 202241007693, Applicant: Rajesh R.
A holder for iron box made up using wood material used for storage as well as safety place while ironing. This wooden holder can be used not only to hang the iron box on the wall after usage but also can be used while ironing to safeguard against accidental burn. The base of the wooden holder is filled with stones which only have the direct contact with the heated base portion of the iron box. The holder is partially covered on both sides which ensures safety from iron box during ironing. -
Modeling, optimizing and diagnosis of chiller systems using machine learning /
Patent Number: 202141035122, Applicant: Dr B S Praveen Kumar.
Modeling, Optimizing and diagnosis of Chiller Systems using Machine Learning The invention aims to create an energy use model for a chiller in heating, ventilation, and air conditioning system using the artificial neural network learning method. Input layers that included several input variables, quantity (percentage) of training data and number of neurons were measured for accuracy by the suggested chiller energy consumption model. -
Processing low-cost feedstock's into high quality biodiesal with a novel chemical multi functional process intensifier method /
Patent Number: 202141060717, Applicant: Ravikumar R.
A method and apparatus for producing a cost-effectively purified biodiesel product from feedstocks are provided. It is possible to utilize both a crude feedstock pretreatment process and a free fatty acid refining process in certain implementations before transesterification and the creation of crude biodiesel and glycerin. When it comes to biodiesel refining, there are several options. As a result of these operations, a pure biodiesel product that meets various commercial requirements may be produced. -
Bio-derived fuels as diesel fuel and gasoline blend components /
Patent Number: 202241032675, Applicant: Kiran K.
To maximize the effectiveness of a refinery's diesel output, a model for the planning of refinery diesel streams is being created. To determine blending parameters with more accuracy than is possible with typical linear models, nonlinear blending models are utilized. Because there are so many equations and variables involved, it may yield an infeasible solution if the beginning points that have been provided are not enough. -
A study on operational efficiency of scheduled commercial banks in India
Banking institutions play an important role in the economic development of the entire nation. Financial services industry is dominated by banking sector. Performance of any economy largely depends on the efficiency of commercial banks. Efficiency of banks depends upon diversified banking system that attracts savings and channelizes them into productive investments to generate income. The strength of the bank depends on newlineefficiency of these operations. Banks need to convert its deposits into loans, advances and investments efficiently. Efficiency in operations results in productivity. Productivity brings in faster economic growth. The cost of these operations should be kept to the minimum in order that they are efficient. With stiff competition that characterises banking industry, the competitive advantage that one bank has over the other depends on various efficiencies. This research attempts to measure the various efficiencies of scheduled commercial banks in India and investigate the factors that influence the same. Review of related newlineLiterature has been carried out to identify the research gap. Scheduled commercial banks in India include public sector banks, private newlinesector banks, foreign banks and regional rural banks. Regional rural banks are excluded from the study. As per the RBI report, currently (as on 31 March 2014) there are 26 public sector banks, 22 private sector newlinebanks and 43 foreign banks. However, this study considers the banks which have existed before, during and after the study period in order to measure the technical and cost efficiency of each bank and compare those efficiencies within the group as well as across the group. Accordingly 25 PSBs, 18 PvSBs and 25 FBs have been considered for the present study. Operational efficiency in this study includes the banks with technical and newlinecost efficiency. Technical efficiency is measured using the primary operating variables like fixed assets, loanable funds, employees, loans and advances and investments. -
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Does the nifty sectoral indices shake hands with nifty? : A time series analysis /
International Journal Of Applied Business And Economic Research, Vol.15, Issue 10, pp.251-262, ISSN: 9727-7302. -
A system for language prediction based on the internet of things /
Patent Number: 202211036605, Applicant: Dr. Manoj Kumar Tamta.
This article outlines a cutting-edge method for forecasting landslides that makes use of WSN, GPS, GSM, and Internet of Things (IoT) hardware in the appropriate places. The recently developed technology, which is made up of sensors connected to the Internet of Things and wireless sensor networks, can anticipate potential hazards, obstructions, and environmental factors. In addition, the system will make use of GPS and GSM modules to pinpoint the location of the accident and communicate the relevant information to the appropriate parties. -
System and method for detecting lung cancer using intelligent image pattern recognition technique /
Patent Number: 202241028120, Applicant: Dr.S.Balamurugan.
One of the most dreadful diseases that reports high mortality rates in literature is cancer. Among the different types of cancer, lung cancer is considered to be the most dangerous disease leading to death. Lung Cancer is caused due to abnormal multiplying of cells which grows as a tumour. It has been reported in literature that every year nearly 15 million people die due to lung cancer around the globe. Lung cancer is difficult to treat as the symptoms of the disease is shown up during its final stages. -
Secure image retrieval and classification framework for IOT based healthcares systems using deep neural networks /
Patent Number: 202241035066, Applicant: Dr.S.Balamurugan.
Deep Learning has shown promising results in the domain of Medical Image Analysis and Image Processing. Proposed is a secure image retrieval and classification framework for IoT based healthcare systems using Deep Neural Networks. The problem of solving the error introduced by adversarial noise is considered. Back Propagation Algorithm is employed for Segmentation (localization) as well as error prediction and detection. -
Impact on block chain technology in public sector of India /
Patent Number: 202241047512, Applicant: M Mohamed Fazil.
Commercial and non-profit use of the blockchain technology across the world has demonstrated its significant advantages over traditional arrangements. The technology appears to be the most appropriate in areas that require storage and processing of large amounts of protected data. Effective exploration and experimentation with the technology in a variety of fields depends on a favorable legal environment. -
Supervised machine learning technique for efficient management of cloud resources /
Patent Number: 202241053590, Applicant: Dr. S Balamurugan.
It is reported in literature that nearly 4.57 billion people access Internet, covering nearly 59% of global population as per 2020 statistics. With huge number of Internet users and large volumes of data, the need for secure and fault-tolerant web applications increases. Huge volumes of data are not only consumed, but are also converted and copied among multiple computing resources. Proposed is a Supervised Machine Learning Technique for efficient management of cloud resources. -
Supervised machine learning technique for efficient management of cloud resources /
Patent Number: 202241053590, Applicant: Dr. S Balamurugan.
It is reported in literature that nearly 4.57 billion people access Internet, covering nearly 59% of global population as per 2020 statistics. With huge number of Internet users and large volumes of data, the need for secure and fault-tolerant web applications increases. Huge volumes of data are not only consumed, but are also converted and copied among multiple computing resources. Proposed is a Supervised Machine Learning Technique for efficient management of cloud resources. -
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. -
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. -
Outward Foreign Direct Investment From India ; A Sectoral Analysis
New opportunities have arisen as the global economy has been more integrated, with globalization and liberalization of government policies. As the world becomes more globalized, businesses boost their investments to keep up with demand. Trade and foreign investments are two notable paths to global integration, with trade being the traditional path. As an FDI pioneer and promoter, the FDI of the upper-middle-income countries became an essential source of integration with the low and middle-income countries. With globalization and liberalization policies India has become the most significant emerging economy. Economic policies urged Indian enterprises to compete internationally to keep up with fierce competitive environment and the adoption of new technology, such as expanding into new markets, acquiring assets and resources, and integrating their overseas operations. Outward FDI (OFDI) has been used by Indian enterprises to meet these strategic needs. India's overseas investments have increased significantly since the 1990s. The majority of empirical research has focused on FDI from upper-middle-income nations. As low- and middle-income nations like India become more important players in the FDI flow, it's necessary to understand the patterns, motivations, and factors that influence the location and impact of OFDI from these countries. Existing Studies focused on Inward FDI (IFDI), but this study focuses on Outward FDI (OFDI) from India. Earlier OFDI research has mostly focused on firm-specific advantages. This study examines India's OFDI trends, as well as changes in host country location determinants, sectoral composition, and their influence on both the home and host countries. In view of the changing direction of OFDI in India, this study compares investment motives and location factors between the upper-middle-income and low and middle-income countries complying with the international categorization established by the United Nations Conference on Trade and Development (UNCTAD) in its publication, the World Investment Report (WIR). This study analyzes the determinants and impact of India's OFDI in the home and host country during the period 1991-2020 in the context of Dunning's eclectic paradigm (OLI paradigm) and Investment Development Path (IDP) theory, using OFDI data from 1991 to 2020, which is longer than other studies by India's OFDI. This study employs panel data methodologies to identify crucial aspects and empirically test the nature of India's OFDI, which includes market seeking, resource seeking, technology and strategic asset seeking. The study uses a time series method to empirically test the relationship between India's OFDI, Trade and GDP. The results reveal that India's OFDI is motivated by market seeking, resource seeking, and technology seeking motives in upper-middle-income and low and middle-income countries. The results emphasize strategic assets as a significant motivation for investing in upper-middle-income countries rather than low and middle-income countries. India's OFDI is also actively linked to host country policies such as openness, corruption and market size. OFDI from India affects exports, as OFDI and exports are two means of internationalization. Theoretically, OFDI leads to further exports (positive or complements) or replaces exports with production (negative or substitution). Empirical testing of the OFDI-trade relationship shows a significant long-term positive relationship between the two. The study divided into five chapters. Chapter one comprises the introduction, backdrop of Global Outward FDI, India's FDI inflows and outflows, India's outward FDI, Need and Significance of the study. The second chapter consists of the literature review, theories of FDI, Statement of Problem. The third chapter deals with the methodology, research gap, research question, objectives of the study, and statistical tools used for the study. The fourth chapter focuses on the determinants of India's OFDI towards upper-middle and low and middle-income countries and the impact of India's OFDI on upper-middle and low and middle-income countries are analyzed in chapter three. It followed by a Geographical and sectoral analysis of India's OFDI in upper-middle and low and middle-income countries and a region-wise analysis in chapter five. Chapter six presents the study results, factors affecting India's Outward FDI among upper-middle and low and middle-income countries, followed by practical, theoretical and policy implications of the Study. -
Structural investigation of Cr2CTx/NiFe2O4 MXene composite as a bifunctional electrocatalyst for water splitting
The electrocatalytic water splitting offers great potential as an environmentally friendly and sustainable method to produce hydrogen and oxygen, the former serving as a renewable alternative to traditional fossil fuels. MXene, a novel two-dimensional (2D) layered class of materials, has gained enormous attention as an electrocatalyst for water splitting. This versatile material can be tailored to enhance its electroactive surface sites and stability toward electrocatalytic performance. Herein, we have designed a 2D hybrid material, Cr2CTx/NiFe2O4, via an in-situ hydrothermal approach. NiFe2O4 spheres decorated on layered-Cr2CTx are subjected to analysis using XRD, FTIR, TGA, XPS, FESEM, HRTEM-SAED, and optical profilometry. The synthesized hybrid MXene material shows outstanding activity for overall water splitting compared to Cr2CTx and NiFe2O4. Cr2CTx/NiFe2O4 exhibits an overpotential of 144 mV and 159 mV at a current density of 10 mA cm?2 for hydrogen evolution and oxygen evolution reactions, respectively, and achieves a cell potential of 1.69 V for overall water splitting. This study reveals valuable insights on bi-functional 2D hybrid MXene materials for electrocatalytic water splitting. 2024 Elsevier B.V. -
A Study on Retirement Preparedness of Information Technology and Education Sector Employees in relation to Attitude and Knowledge
Retirement planning is a process of analysing the current financial situation, identifying the future financial need of the person upon retirement, investing on a disciplined basis through appropriate instruments and deriving benefits out of it when the need arises. With changing socio-economic factors, there is a great interest among academicians and practitioners alike, to find answers for inevitable post retirement survival crisis. This study is primarily based on a problem How well prepared are IT and Education sector employees to take up the post retirement financial survival? The objectives of the study are - to know the association between attitude, knowledge and retirement preparedness and whether attitude and knowledge has any relationship with the retirement preparedness. This study is based on primary data collected from 400 respondents (200 IT sector employees and 200 Education sector employees) using questionnaire. This study takes Attitude and Knowledge as independent variables and Retirement preparedness as dependent variable. With the help of statistical tools like Chi-square tests, ANOVA and Canonical Correlation, the association and relationship were tested. This study reveals that Attitude and Knowledge has relationship with retirement preparedness. The result is of great significance for government in policy making, for media and personal financial planners in pro actively influencing investment decisions of investors.