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493 results on '"Gomathi, S"'

151. Problems

Author

Gardner, C. S., Meyers, Leroy F., Klamkin, M. S., Bencze, Mihaly, Tangora, Martin C., Olk, Bill, Luthar, R. S., Bulman-Fleming, Sydney, Eggleton, Roger B., Heuer, Gerald A., Brunson, Barry, Krishna, Ambati Jaya, Rao, Gomathi S., Heller, Robert, Schwenk, Allen J., Bracken, Paul, Ruderman, Harry D., Meyers, Leroy F., Peres, Yuval, Singmaster, David, Binz, J. C., Demir, H., Tezer, C., Hoyt, John P., Reznick, Bruce, Grossman, Jerrold W., and Callan, David

Published
1988
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152. Problems

Author

Bulman-Fleming, Sydney, Heuer, Gerald A., Krishna, Ambati Jaya, Rao, Gomathi S., Ruderman, Harry D., Luthar, R. S., Callan, David, Schaumberger, Norman, Christophe,, L. Matthew, Edgar, G. A., Figiel, Tadeusz, Benedict, Jeff, Poonen, Bjorn, Tavare, Simon, Creech, Roger L., Hamlin, Dennis, Kuipers, L., Meyer, W. Weston, and Gentile, Erzo R.

Published
1986
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153. A STUDY ON CUSTOMERS ATTITUDE TOWARDS ONLINE TICKET BOOKING DURING COVID-19 WITH SPECIAL REFERENCE TO COIMBATORE CITY.

Author

Renugadevi, S., Sakthiprasath, R., Kalaiselvi, P., Ramakrishnan, P., Kumar, L. Senthil, and Gomathi, S.

Subjects
CONSUMER attitudes, RESERVATION systems, COVID-19, ELECTRONIC books, WORKING hours
Abstract

An online booking system works all the time. This gives freedom to potential visitors to book a room, ticket at anytime they want. It also maximises your sales because you are not limited to your working hours. An online booking system is a piece of a software used for reservation management. In fact, studies shows that a 24/7 online reservation system greatly increases the number of bookings. With the development in science and technology the usage of online ticket booking has been increased tremendously. Increase in online literacy encourages online ticket booking and customer buying behaviour. Highly demanded lifestyle, convenience, information wide, scarcity of time induces the customers to move from traditional ticket booking to online ticket booking. During Covid the need for online ticket booking increased among the general public since people were not ready to face the crowd and they were insisted about safety. That too during pandemic people were not ready to lose their safety and they were very much conscious about their hygiene. Hence the researchers made an attempt to study on customer attitude towards online ticket booking during COVID-19 with special reference to Coimbatore city. It was found that customer preferred online ticket booking for their convenience and they are satisfied with the online ticket booking in various factors. [ABSTRACT FROM AUTHOR]

Published
2022
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154. Mastering Microsoft Dynamics 365 Business Central : A Comprehensive Guide to Successful Implementation

Author

Dr. Gomathi S and Dr. Gomathi S

Subjects
Microsoft software, Microsoft .NET Framework, Business information services
Abstract

Get ready to ace Microsoft Dynamics 365 Business Central and usher in an era of streamlined efficiency, enhanced productivity, and growth. This guide book is your trusty companion on your journey to becoming an ERP implementation pro. The book will take you through the entire implementation process, from initial planning to successful deployment and beyond.The book starts with an introduction to Business Central and the benefits of its implementation. It discusses pre-implementation planning and vendor selection and partnership, and you will learn budgeting and timeline along with evaluating implementation partners. You will go through project management methodologies and learn about resource allocation and team roles. Data migration and cleansing are discussed, along with configuration and customization. You will learn about change management and user adoption, as well as Integration with existing systems. The book takes you through testing and quality assurance, and you will understand how to prepare for Go-Live. You also will learn common implementation challenges and solutions, and future trends in ERP and Business Central.After reading this book, you will be able to discover the full potential and make the most out of Microsoft Dynamics 365 Business Central.What Will You LearnMaster the complete process of Microsoft Dynamics 365 Business Central implementationImplement effective strategies to drive user adoption and overcome resistance to changeStay ahead of the curve by exploring emerging trends in the ERP landscapeUtilize practical tools and checklists to streamline implementation tasksGain insights from case studies for practical implementation strategiesWho This Book Is ForProject managers, business analysts, and ERP consultants

Published
2024

158. Privacy-Preserving Authentication and Key-Management Protocol for Health Information Systems

Author

Khan Ihtiram Raza, Singh Dileep Kumar, Hasan Asif, Gupta Vedika, Gomathi S, Sharma Tripti, Dhiman Gaurav, Soni Mukesh, Churi Prathamesh, and Doewes Rumi Iqbal

Subjects
Scheme (programming language), Authentication, Computer science, business.industry, Computer security, computer.software_genre, Health informatics, Transmission (telecommunications), Secrecy, Identity (object-oriented programming), Key management, business, computer, Protocol (object-oriented programming), computer.programming_language
Abstract

PRIVACY-PRESERVING AUTHENTICATION AND KEY-MANAGEMENT PROTOCOL FOR HEALTH INFORMATION SYSTEMS The present invention relates to privacy-preserving authentication and key-management protocol for health information systems and used medical users to confirm their authenticity and exchange crucial data. The present invention helps to the cost of different performance measures and the outcomes indicate that the suggested method requires less execution period, transmission cost, and storage area cost related to recent relative authentication mechanism. The proposed scheme does not disclose the user's real identity during both (registration and authentication) phases to offer secrecy to users. Therefore, the proposed protocol is useful for medical users to confirm their authenticity and exchange crucial data with the medical server without compromising security and privacy while taking relatively less computational resources Proposed system comprises of two phases, first one is registration phase and second is authentication phase. 844 tillICommunicazon - S-corage '... .6WO 496 492 Mason. Mao sn.oop 16 188 :.:.m96 Z 200 10 D,. .. 176 [241 1251 [261 Proposed Authentication Schemes Figure1I

Published
2021

168. Area efficient multiplier using NANO CMOS logic style.

Author

Sasikala, S., Gomathi, S., Chitra, M., and Nandhini, S. R.

Subjects
*MOORE'S law, *NANOSTRUCTURED materials, *COMPLEMENTARY metal oxide semiconductors, *TRANSISTORS, *LOGIC, *NANOTECHNOLOGY
Abstract

Fabrication of nanoscale materials has gained much importance in this era. Transistor miniaturization is considered as important parameter in Nanotechnology. Sustainability is maintained in Moore's law by the use of various CMOs transistor scaling techniques and silicon innovations. The combination of silicon innovation with other nanotechnologies provides as platform to design various transistor styles that low area and high speed. Now a day most of the processor needs very high speed of operation like DSP processors it performs based on mathematical approaches. Multiplication process takes huge amount of time so the speed of the processor get reduced, it consumes less amount of power and area compared with addition. High performance multipliers are used to boost the performance of circuits. This work proposes the design of such high performance multipliers using different logic styles namely Pseudo NMOS and Pass transistor Logic (PTL). The main objective is to reduce the transistor count and area and increase the speed. From the analysis report the area of pseudo NMOS and PTL multiplier is reduced by 15.08% and 33.62% respectively when compared with CMOS multiplier. [ABSTRACT FROM AUTHOR]

Published
2021
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181. Transfer learning based recurrent neural network algorithm for linguistic analysis.

Author

Sasikala, S., Ramesh, S, Gomathi, S, Balambigai, S, and Anbumani, V

Subjects
RECURRENT neural networks, ARTIFICIAL neural networks, LINGUISTIC analysis, MACHINE learning, SOCIOLINGUISTICS, ALGORITHMS
Abstract

Each language is a system of understanding and skills that allow language users to work together, hypothesize, express thoughts, opinions; wishes need to be articulated. Linguistics is the research of these structures in all respects: the composition, usage, and sociology of language, in particular, are the core of linguistics. Machine learning is the research area that allows machines to learn without being specifically scheduled. In linguistics, the design of writing is understood to be a foundation for many distinct company apps and probably the most useful if incorporated with machine learning methods. Research shows that besides text tagging and algorithm training, there are major problems in the field of big data. This article provides a collaborative effort (transfer learning integrated into recurrent neural network) to analyze the distinct kinds of writing between the language's linear and noncomputational sides and to enhance granularity. In addition to this, this article creates a recurrent neural network model for learning and processing text data automatically. RNN based linguistic process is fast and cost‐effective. It analyses the text data automatically and iteratively. This is the main reason for using RNN for the linguistic process. The outcome demonstrates stronger incorporation of granularity into the language from both sides. Comparative results of machine learning algorithms are used to determine the best way to analyze and interpret the structure of the language. [ABSTRACT FROM AUTHOR]

Published
2022
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185. 6560

Author

Krishna, Ambati Jaya, Rao, Gomathi S., and Philipp, Stan

Published
1989
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196. Anti-Cancer Activity of Aloe Vera Ethanolic Leaves Extract against In vitro Cancer Cells

Author

Jannathul Firdous, S. Geetha, Gomathi S, Noorzaid Muhamad, Karpagam T, Shanmuga Priya, Varalakshmi B, and Revathy

Subjects
A549 cell, biology, Traditional medicine, Chemistry, Cancer, medicine.disease, biology.organism_classification, Aloe vera, HeLa, Cell culture, hemic and lymphatic diseases, Cancer cell, medicine, Pharmacology (medical), MTT assay, Cytotoxicity, Pharmacology, Toxicology and Pharmaceutics (miscellaneous)
Abstract

In the present study, anticancer and cytotoxicity of Aloe vera ethanolic leaves extract was evaluated as the leaves of A.vera are reported to have great medicinal value with potential therapeutic applications. The anticancer activities of the ethanolic leaves extract of A.vera were investigated using 3-(4, 5-dimethylthiazole-2yl)-2, 5diphenyl tetrazolium bromide assay on three human cancer cell lines HepG2 (liver cancer), HeLa (human cervical carcinoma cell line) and A549 (human lung adenocarcinoma epithelial cell line). In anticancer studies, A.vera ethanolic leaves extract showed potent proliferation inhibitory activity against HepG2, HeLa and A549 cell lines. The results have shown that the A.vera ethanolic leaves extract contain some active ingredients with the potential of being anticancer agents. A.vera ethanolic leaves extract has the potential to fight against cancer cells. Further work should be carried out on the characterization of specific anticancer components of A.vera.

Published
2019

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