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Wyszukujesz frazę "Soni, R." wg kryterium: Autor


Wyświetlanie 1-4 z 4
Tytuł:
An extension of line spring model for vibration analysis of thin isotropic plate containing multiple part-through cracks: an analytical approach
Autorzy:
Jain, N. K.
Gupta, A.
Salhotra, R.
Rawani, A. M.
Soni, S.
Mishra, A.
Joshi, P. V.
Powiązania:
https://bibliotekanauki.pl/articles/128046.pdf
Data publikacji:
2018
Wydawca:
Politechnika Poznańska. Instytut Mechaniki Stosowanej
Tematy:
multiple cracks
Line Spring Model
vibration
partial crack
pęknięcie wielokrotne
sprężyna liniowa
drgania
pęknięcie częściowe
Opis:
In the present study, the effect of multiple part-through cracks on the vibration characteristics of thin isotropic rectangular plate is presented. The proposed analytical model is developed using Kirchhoff’s classical plate theory and the crack terms are formulated using the simplified Line Spring Model (LSM). The application of Berger's formulation helps to transform the derived governing equation in the form of well known Duffing equation with cubic nonlinearities and then the solution for final governing equation is obtained using Galerkin's method for two different boundary conditions. The fundamental frequency of the plate as affected by the number of cracks, cracks length, cracks orientation, and plate aspect ratio for different boundary condition is presented. It is found that the results obtained for natural frequencies are maximally affected by number of cracks, crack length and orientations.
Źródło:
Vibrations in Physical Systems; 2018, 29; 1-25
0860-6897
Pojawia się w:
Vibrations in Physical Systems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
A survey on prediction of diabetes using classification algorithms
Autorzy:
Khanwalkar, A.
Soni, R.
Powiązania:
https://bibliotekanauki.pl/articles/1818807.pdf
Data publikacji:
2021
Wydawca:
Stowarzyszenie Komputerowej Nauki o Materiałach i Inżynierii Powierzchni w Gliwicach
Tematy:
diabetes
diabetes prediction
algorithm
data mining
machine learning
cukrzyca
algorytm
eksploracja danych
uczenie maszynowe
Opis:
Purpose: Diabetes is a chronic disease that pays for a large proportion of the nation's healthcare expenses when people with diabetes want medical care continuously. Several complications will occur if the polymer disorder is not treated and unrecognizable. The prescribed condition leads to a diagnostic center and a doctor's intention. One of the real-world subjects essential is to find the first phase of the polytechnic. In this work, basically a survey that has been analyzed in several parameters within the poly-infected disorder diagnosis. It resembles the classification algorithms of data collection that plays an important role in the data collection method. Automation of polygenic disorder analysis, as well as another machine learning algorithm. Design/methodology/approach: This paper provides extensive surveys of different analogies which have been used for the analysis of medical data, For the purpose of early detection of polygenic disorder. This paper takes into consideration methods such as J48, CART, SVMs and KNN square, this paper also conducts a formal surveying of all the studies, and provides a conclusion at the end. Findings: This surveying has been analyzed on several parameters within the poly-infected disorder diagnosis. It resembles that the classification algorithms of data collection plays an important role in the data collection method in Automation of polygenic disorder analysis, as well as another machine learning algorithm. Practical implications: This paper will help future researchers in the field of Healthcare, specifically in the domain of diabetes, to understand differences between classification algorithms. Originality/value: This paper will help in comparing machine learning algorithms by going through results and selecting the appropriate approach based on requirements.
Źródło:
Journal of Achievements in Materials and Manufacturing Engineering; 2021, 104, 2; 77--84
1734-8412
Pojawia się w:
Journal of Achievements in Materials and Manufacturing Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Semantic web techniques for clinical topic detection in health care
Autorzy:
Raman, R.
Sahayaraj, Kishore Anthuvan
Soni, Mukesh
Nayak, Nihar Ranjan
Govindarajan, Ramya
Singh, Nikhil Kumar
Powiązania:
https://bibliotekanauki.pl/articles/38698068.pdf
Data publikacji:
2024
Wydawca:
Instytut Podstawowych Problemów Techniki PAN
Tematy:
clinical text
frequent word set
feature selection
clustering
topic detection
time sequence
semantics
tekst kliniczny
częsty zestaw słów
wybór funkcji
grupowanie
wykrywanie tematu
sekwencja czasu
semantyka
Opis:
The scope of this paper is that it investigates and proposes a new clustering method thattakes into account the timing characteristics of frequently used feature words and thesemantic similarity of microblog short texts as well as designing and implementing mi-croblog topic detection and detection based on clustering results. The aim of the proposedresearch is to provide a new cluster overlap reduction method based on the divisions ofsemantic memberships to solve limited semantic expression and diversify short microblogcontents. First, by defining the time-series frequent word set of the microblog text, a fea-ture word selection method for hot topics is given; then, for the existence of initial clusters,according to the time-series recurring feature word set, to obtain the initial clustering ofthe microblog.
Źródło:
Computer Assisted Methods in Engineering and Science; 2024, 31, 2; 139-155
2299-3649
Pojawia się w:
Computer Assisted Methods in Engineering and Science
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Optimization in logistics for supply chain management of an automobile industry using Fuzzy DEMATEL matrix method
Autorzy:
Soni, Yash
Gupta, R. C.
Powiązania:
https://bibliotekanauki.pl/articles/2141095.pdf
Data publikacji:
2020
Wydawca:
Fundacja Centrum Badań Socjologicznych
Tematy:
DEMATEL
supply chain management
logistics
management
turn around timing
Opis:
Industrial engineers always want to implement optimization techniques in all activities performed in an organization, which is only possible by synchronizing multiple activities of each department, and combining it in a way, which is optimized as per efficiency, effectiveness, productivity and profit are concerned. Organization plant managers and logistics providers have long been dissatisfied with extensive waiting times and severe on-site traffic congestion. This research paper highlights activities of logistics management in this organization which covers activities like determination of supply chain driver affecting logistics and supply chain management of an organization, analysis of current vehicles freights which particularly involves number of freights per day, checking how effectively collection plan needs are fulfilled by current vehicles running, implementation of new techniques to improve present working system, scheduled such that the total weighted tardiness is minimized, initiation of practices which organization has to do for withstanding sustainability in logistics management, estimation of cost saving from implementation of new techniques and checking feasibility of conducting these activities repetitively in long run.
Źródło:
Journal of Sustainable Development of Transport and Logistics; 2020, 5, 2; 29-36
2520-2979
Pojawia się w:
Journal of Sustainable Development of Transport and Logistics
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-4 z 4

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