Search

Your search keyword '"Ramanan, T."' showing total 111 results
Start Over Author "Ramanan, T."

Refine your results

more »

more »

more »

more »
111 results on '"Ramanan, T."'

7. Assessing the impact of business incubation services on companies in Indian university-based incubators

Author

Manniledam, Preethi and Ramanan, T. Radha

Abstract

The companies incubated in business incubators are expected to grow availing the services provided by the incubators. When the services provided are matching with the requirements of these companies, the incubation process become effective and the companies will be satisfied. It is seen that certain services are more valued and certain others are not, by the companies which are the clients of these incubators. The study conducted brings out the perception of the companies incubated in the Indian university-based, government funded incubators, about the services offered and the effectiveness of the services. It throws light to the fact that providing some services more effectively can give more satisfied clients, and thus giving suggestions on how the resources available, especially those created with the government support, with the incubator could be used optimally.

Published
2024
Full Text
View/download PDF

11. P483 Invasive fungal infection in hematopoietic stem cell transplant recipient from an Indian oncology setting

Author

Abdul Ghafur, Bikram Das, Radhika Karthik, Benjamin M Easaw, Ramanan T Raja, and Jose Easaw

Subjects
Infectious Diseases, General Medicine
Abstract

Poster session 1, September 21, 2022, 12:30 PM - 1:30 PM Objectives Invasive fungal infections (IFI) are one of the major causes of morbidity and mortality in post-hematopoietic stem cell transplant (HSCT) recipients. Data from India are limited. The objective was to analyze the incidence, risk factors, and outcomes associated with IFI in our center. Methods Adult patients, who underwent marrow/stem cell transplantation between 2014-2018, in an oncology center in India, were included in this retrospective observational study. The revised consensus definition of IFI by the European Organization for Research and Treatment of Cancer/Invasive Fungal Infections Cooperative Group and the National Institute of Allergy and Infectious Diseases Mycoses Study Group (EORTC/MSG) in 2008, was considered to define cases. Incidence, risk factors, and outcomes associated with IFI were analyzed. Results Out of the 126 patients who underwent HSCT between 2014-2018, 56 (44.4%) had Allo HSCT, 64 (50.8%) had auto HSCT and 6 (4.8%) had haplo-identical HSCT. A total of 83 (63%) were males and 43 (34%) females, 113 (83.9%) Asians, and 13 (10.3%) Africans. Total 111 (88%) patients received myeloablative conditioning and 24 (19%) received total body irradiation. The hematological conditions were acute myeloid leukemia (AML) n = 23 (18.25%), acute lymphoblastic leukemia (ALL) n = 16 (12.69%), chronic myeloid leukemia (CML) n = 4 (3.17%), Hodgkins lymphoma (HL) n = 17 (13.4%), non-Hodgkins lymphoma (NHL) n = 11 (8.73%), Myeloma n = 35 (27.7%), sickle cell disease n = 13 (10.31%), etc. Most patients received fluconazole 78 (61.9%) followed by micafungin 23 (18.25%), posaconazole 20 (15.87%), voriconazole 4 (3.17%), and liposomal amphoterin B 1 (0.79%) as antifungal prophylaxis. The overall rate of IFI (possible cases included) was auto-HSCT n = 5 (7.81%), and Allo-HSCT n = 5 (8.92%). Among auto-HSCT, the IFI was Proven = 0, Probable n = 1 (1.5%), and Possible n = 4 (6.25%), and among Allo-HSCT Proven = 0, Probable n = 2 (3.57%), and Possible n = 3 (5.35%). These cases had IFI lung based on imaging and serological tests. None of the cases had a lung biopsy. There were no incidents of candidemia. No patients in Haplo-HSCT had IFI. The 1-year survival rate among the IFI cases was 8/10 (80%). As the number of patients with IFI was very low, a meaningful comparison of the risk factors, and the impact of prophylactic regimens were difficult. Conclusions The overall rate of IFI in HSCT patients in our setting was low compared to global data.

Published
2022

16. A particle swarm optimization approach for permutation flow shop scheduling problem

Author

Radha Ramanan T., Iqbal Muhammed, and Umarali K.

Subjects
makespan, flow shop scheduling, particle swarm optimization, variable neighbourhood search, Industrial engineering. Management engineering, T55.4-60.8, Industrial directories, T11.95-12.5
Abstract

Flow shop scheduling problem (FSSP) is a combinatorial optimization problem. This work, with the objective of optimizing the makespan of an FSSP uses a particle swarm optimization (PSO) approach. The problems are tested on Taillard’s benchmark problems. The results of Nawaz, Encore and Ham (NEH) heuristic are initialized to the PSO to direct the search into a quality space. Variable neighbourhood search (VNS) is employed to overcome the early convergence of the PSO and helps in global search. The results are compared with standalone PSO, traditional heuristics and the Taillard’s upper bounds. Five problem set are taken from Taillard’s benchmark problems and are solved for various problem sizes. Thus a total of 35 problems are solved. The experimental results show that the solution quality of FSSP can be improved if the search is directed in a quality space based on the proposed PSO approach (PSO-NEH-VNS).

Published
2014
Full Text
View/download PDF

39. A hybrid neural network-genetic algorithm approach for permutation flow shop scheduling.

Author

Noorul Haq, A., Ramanan, T. Radha, Shashikant, Kulkarni Sarang, and Sridharan, R.

Subjects
GENETIC algorithms, ARTIFICIAL neural networks, PRODUCTION scheduling, MACHINERY in the workplace, RESOURCE allocation, PROCESS control systems
Abstract

The objective of this paper is to find a sequence of jobs for the permutation flow shop to minimise the makespan. The shop consists of 10 machines. A feed-forward back-propagation artificial neural network (ANN) is used to solve the problem. The network is trained with the optimal sequences for five-, six- and seven-job problems. This trained network is then used to solve a problem with a greater number of jobs. The sequence obtained using the neural network is used to generate the initial population for the genetic algorithm (GA) using the random insertion perturbation scheme (RIPS). The makespan of the sequence obtained by this approach (ANN-GA-RIPS) is compared with that obtained using GA starting with a random population (ANN-GA). It was found that the ANN-GA-RIPS approach performs better than ANN-GA starting with a random population. The results obtained are compared with those obtained using the Nawaz, Enscore and Ham (NEH) heuristic and upper bounds of Taillard's benchmark problems. ANN-GA-RIPS performs better than the NEH heuristic and the results are found to be within 5% of the upper bounds. [ABSTRACT FROM AUTHOR]

Published
2010
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results