Autor: Naidu, D. S. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Nonlinear Optimal Tracking For Missile Gimbaled Seeker Using Finite-Horizon State Dependent Riccati Equation
Autorzy:: Khamis, A.
Naidu, D. S.
Kamel, A. M.
Powiązania:: https://bibliotekanauki.pl/articles/226218.pdf
Data publikacji:: 2014
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: Finite-Horizon state dependent Riccati equation
nonlinear tracking
gimbaled missile seeker
Opis:: The majority of homing guided missiles use gimbaled seekers. The equations describing seeker gimbal system are highly nonlinear. Accurate nonlinear control of the motion of the gimbaled seeker through the attached DC motors is required. In this paper, an online technique for finite-horizon nonlinear tracking problems is presented. The idea of the proposed technique is the change of variables that converts the nonlinear differential Riccati equation to a linear Lyapunov differential equation. The proposed technique is effective for wide range of operating points. Simulation results for a realistic gimbaled system with different engagement scenarios are given to illustrate the effectiveness of the proposed technique.
Źródło:: International Journal of Electronics and Telecommunications; 2014, 60, 2; 165-171
2300-1933
Pojawia się w:: International Journal of Electronics and Telecommunications
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 2.

Tytuł:: Prosthetic status and prosthetic needs amongst geriatric fishermen population of Kutch coast, Gujarat, India
Autorzy:: Kumar, D.R.V.
Raju, D.S.
Naidu, L.
Deshpande, S.
Chadha, M.
Agarwal, A.
Powiązania:: https://bibliotekanauki.pl/articles/874703.pdf
Data publikacji:: 2015
Wydawca:: Narodowy Instytut Zdrowia Publicznego. Państwowy Zakład Higieny
Tematy:: geriatrics
prosthetic status
prosthetic need
fisherman
dental hygiene
dental health
environmental factor
oral health
human population
Kutch coast
Gujarat state
India
Opis:: Background. Literature among fishermen of India is scanty. The external factors like diet, quality of dental hygiene and environmental factors have an effect on oral health. Moreover elderly age group offer very little importance towards their oral health. Objective. To assess the prosthetic status and prosthetic treatment needs among the geriatric fishermen population of Kutch coast, Gujarat, India. Material and Methods. A cross sectional descriptive study was conducted among 1200 elderly people (above 60 years) of Kutch coast, Gujarat, India. They were interviewed and examined using a proforma designed with the help of WHO Oral Health Survey 1997. Chi square test was used for comparisons. Confidence level and p-value were set at 95% and 5% respectively. Results. Out of 1200 elderly people, 836 were males and 364 were females. Considering the prosthetic status, majority (76.7%) had no prosthesis followed by full removable dentures (12.3%). An insight into the prosthetic needs showed that majority (27.3%) had a need for multiunit prosthesis. Conclusion. In this study, it was seen that overall prosthetic status was low and prosthetic need was high. Therefore new avenues have to be discovered to make the prosthetic treatment readily available to the elderly.
Źródło:: Roczniki Państwowego Zakładu Higieny; 2015, 66, 2
0035-7715
Pojawia się w:: Roczniki Państwowego Zakładu Higieny
Dostawca treści:: Biblioteka Nauki

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Skocz do pozycji: 3.

Tytuł:: Leveraging Transfer Learning to Identify Food Categories
Autorzy:: Kolla, J. V. V.
Vemula, P. Ch.
Chakravarthy, S.
Naidu, B. S.
Patibandla, D.
Powiązania:: https://bibliotekanauki.pl/articles/2023418.pdf
Data publikacji:: 2021
Wydawca:: Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:: convolutional neural networks
transfer learning
domain similarity
fine-tuning
konwolucyjne sieci neuronowe
uczenie się przez przeniesienie
podobieństwo dziedzin
dostrajanie
Opis:: In today’s scenario, recognition of pictured food dishes automatically has significant importance. During the COVID-19 pandemic, there was a decline in people visiting restaurants for their dietary requirements. So many restaurants started offering their services online. This situation caused a demand for better categorization of food into various categories on a large scale by companies that facilitated these services. It is challenging to congregate a large dataset of food categories, so it is complex to build a generalized architecture. To solve this issue, In this paper, domain-specific transfer learning is used to build the model using some standard architectures like VGGNET, RESNET, and EFFICIENTNET family, which are trained on popular benchmark datasets such as IMAGENET, COCO, etc. The similarity between the source and target datasets is calculated to find the best source dataset, and the one with the highest similarity is chosen for transfer learning. The solution proposed in this paper outperforms some of the existing works on categorizing food items.
Źródło:: Advances in Science and Technology. Research Journal; 2021, 15, 4; 101-109
2299-8624
Pojawia się w:: Advances in Science and Technology. Research Journal
Dostawca treści:: Biblioteka Nauki

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