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    Wyświetlanie 1-9 z 9
    Tytuł:
    Assessment of self-heating susceptibility of Indian coal seams – a neural network approach
    Ocena skłonności pokładów węgla w Indiach do samozapłonu – podejście oparte o wykorzystanie sieci neuronowych
    Autorzy:
    Panigrahi, D. C.
    Ray, S. K.
    Powiązania:
    https://bibliotekanauki.pl/articles/219076.pdf
    Data publikacji:
    2014
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    metoda badania potencjału utleniającego w procesie mokrym
    samozapłon
    badanie korelacji
    sztuczne sieci neuronowe
    temperatura przejścia
    wet oxidation potential
    spontaneous heating
    correlation studies
    artificial neural network analysis
    CPT
    Opis:
    The paper addresses an electro-chemical method called wet oxidation potential technique for determining the susceptibility of coal to spontaneous combustion. Altogether 78 coal samples collected from thirteen different mining companies spreading over most of the Indian Coalfields have been used for this experimental investigation and 936 experiments have been carried out by varying different experimental conditions to standardize this method for wider application. Thus for a particular sample 12 experiments of wet oxidation potential method were carried out. The results of wet oxidation potential (WOP) method have been correlated with the intrinsic properties of coal by carrying out proximate, ultimate and petrographic analyses of the coal samples. Correlation studies have been carried out with Design Expert 7.0.0 software. Further, artificial neural network (ANN) analysis was performed to ensure best combination of experimental conditions to be used for obtaining optimum results in this method. All the above mentioned analysis clearly spelt out that the experimental conditions should be 0.2 N KMnO4 solution with 1 N KOH at 45°C to achieve optimum results for finding out the susceptibility of coal to spontaneous combustion. The results have been validated with Crossing Point Temperature (CPT) data which is widely used in Indian mining scenario.
    W pracy omówiono możliwości wykorzystania metody elektro-chemicznej zwanej metodą określania potencjału utleniającego w procesie mokrym do określania skłonności węgla do samozapłonu. Dla potrzeb eksperymentu zebrano 78 próbek węgla z trzynastu kopalni w obrębie Indyjskiego Zagłębia Węglowego. Przeprowadzono 936 eksperymentów, w różnych warunkach prowadzenia procesu aby zapewnić standaryzację metody w celu jej szerszego zastosowania. Dla każdej próbki przeprowadzono 12 eksperymentów metodą badania potencjału utleniającego w procesie mokrym. Wyniki skorelowano z własnościami danego węgla przez przeprowadzenie badania petrograficznych i wytrzymałościowych parametrów węgla. Procedurę korelacji wykonano z wykorzystaniem oprogramowania Design Expert 7.0.0, następnie przeprowadzono analizę z wykorzystaniem sieci neuronowych w celu opracowania najkorzystniejszej kombinacji warunków eksperymentu do wykorzystania dla uzyskania optymalnych wyników. Badania wykazały, że najkorzystniejsze warunki dla procesu to zastosowanie roztworu 0.2 N KMnO4 z 1 N KOH przy 45°C dla uzyskania optymalnych wyników określania skłonności pokładów do samozapłonu. Walidację wyników przeprowadzono w oparciu o wyniki badania metodą określania temperatury przejścia (Crossing Point Temperature), szeroko stosowaną w przemyśle wydobywczym w Indiach.
    Źródło:
    Archives of Mining Sciences; 2014, 59, 4; 1061-1076
    0860-7001
    Pojawia się w:
    Archives of Mining Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    First report of twig blight of ban tulsi (Croton bonplandianus Bail.) caused by Choanephora cucurbitarum (Berk.and Ravenel) Thaxt. in India
    Autorzy:
    Das, S.
    Dutta, S.
    Ray, S.K.
    Powiązania:
    https://bibliotekanauki.pl/articles/65731.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    twig blight
    ban tulsi
    Croton bonplandianus
    Euphorbiaceae
    herb
    perennial plant
    folk medicine
    Choanephora cucurbitarum
    plant pathogen
    sporangium
    India
    Opis:
    In August 2015, twig blight disease of ban tulsi (Croton bonplandianus Bail.) caused by Choanephora cucurbitarum (Berk. & Ravenel) Thaxt. was observed for the first time, in the Gangetic alluvial region of West Bengal, India. A severe disease incidence (40–50%) showed twig blight symptoms starting with shoot apical meristem (SAM), leaf, and blossom blight symptoms. Typical symptoms were characterized by over-projecting black pin head like emerging sporangiola which formed mycelial cushion on the infected surface. The present report describes the identification of the causal pathogen as C. cucurbitarum based on its morphology and the internal transcribed spacer of its ribosomal DNA (rDNA – ITS) sequences with 100% identity of NCBI-GenBank published Choanephora database. Optimum temperatures, 28–30°C, coupled with high relative humidity (80–90%) during the monsoon season enhances the disease’s progress. To the best of our knowledge this is the first report of twig blight of C. bonplandianus, caused by C. cucurbitarum, in India as well as globally.
    Źródło:
    Journal of Plant Protection Research; 2017, 57, 4
    1427-4345
    Pojawia się w:
    Journal of Plant Protection Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Impact of roguing and insecticide spraying on mosaic disease in Jatropha curcas
    Autorzy:
    Al-Basir, F.
    Roy, P. K.
    Ray, S.
    Powiązania:
    https://bibliotekanauki.pl/articles/205846.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Instytut Badań Systemowych PAN
    Tematy:
    Jatropha curcas
    mosaic disease
    roguing
    spraying
    Hopf bifurcation
    optimal control problem (OCP)
    Opis:
    Jatropha curcas plant is greatly impaired by mosaic disease, caused by the viruses (Begomovirus), transmitted by whiteflies, which act as the vector. Roguing (i.e. removal of infected plant) and spraying of insecticides are common methods, employed in order to get rid of the disease. In this article, a mathematical model has been developed to study the mosaic disease dynamics while considering preventive measures of roguing and insecticide spraying. Sufficient conditions for the stability of equilibrium points of the system are among the results obtained through qualitative analysis. We obtain the basic reproduction number R0 and show that the disease free system is stable for R0 < 1 and unstable for R0 > 1. The region of stability of equilibrium points in different parameter spaces have also been analysed. Hopf bifurcation at the endemic steady state has been studied subsequently, as well. Finally, by formulating an optimal control problem, optimal application of roguing and spraying techniques has been determined, keeping in mind the cost effective control of the mosaic disease. Pontryagin minimum principle has been utilized to solve the optimal control problem. Numerical simulations illustrate the validity of the analytical outcomes.
    Źródło:
    Control and Cybernetics; 2017, 46, 4; 325-344
    0324-8569
    Pojawia się w:
    Control and Cybernetics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Health Risks From Exposure to Metal-Working Fluids in Machining and Grinding Operations
    Autorzy:
    Li, K.
    Aghazadeh, F.
    Hatipkarasulu, S.
    Ray, T. G.
    Powiązania:
    https://bibliotekanauki.pl/articles/90609.pdf
    Data publikacji:
    2003
    Wydawca:
    Centralny Instytut Ochrony Pracy
    Tematy:
    machining safety
    cutting fluid hazards
    occupational illnesses
    occupational cancer
    metal working
    obróbka metali
    obróbka skrawaniem
    ocena ryzyka zawodowego
    zagrożenia zdrowia
    szkodliwe czynniki fizyczne
    choroba zawodowa
    nowotwory
    Opis:
    Metal-working fluids (MWFs) are used in machining and grinding operations to cool the tool and work, reduce the friction between the tool and work, improve the surface integrity of the work piece, and increase tool life and productivity. Health problems have been reported among workers exposed to MWFs, including incidences of respiratory, digestive and skin cancers, and increased rates of cough and phlegm. This paper reviews and discusses issues concerning health risks from exposure to MWFs in machining and grinding operations, the various factors that influence the degree of exposure, and control methods to reduce exposure to metal-working fluids.
    Źródło:
    International Journal of Occupational Safety and Ergonomics; 2003, 9, 1; 75-95
    1080-3548
    Pojawia się w:
    International Journal of Occupational Safety and Ergonomics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Homotopy simulation of non-Newtonian Spriggs fluid flow over a flat plate with oscillating motion
    Autorzy:
    Ray, A. K.
    Vasu, B.
    Gorla, R. S. R.
    Powiązania:
    https://bibliotekanauki.pl/articles/265238.pdf
    Data publikacji:
    2019
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    przepływ nieściśliwy
    przepływy Stokes'a
    płyn nienewtonowski
    incompressible flow
    oscillatory plate
    Stokes second problem
    HAM
    non-Newtonian Spriggs fluid
    Opis:
    An incompressible flow of a non-Newtonian Spriggs fluid over an unsteady oscillating plate is investigated using the Homotopy Analysis Method (HAM). An analytic solution of sine and cosine oscillations of the plate has been obtained. The similarity transformation is introduced to reduce the governing partial differentia equations into a single non-linear dimensionless partial differential equation. The effects of the power index of Spriggs fluid and convergence control parameter of HAM for the flow are studied extensively. The range of the convergence control parameter for convergence of series solution for different values of the power index of Spriggs fluid is obtained. The solution for a Spriggs fluid is noticeably different from the solution obtained for a Newtonian fluid. The influences of the shear thinning and shear thickening fluid on the velocity profile are shown graphically. The transient flow effect is higher for non-Newtonian Spriggs fluid than that of a Newtonian fluid. It is also observed that the interval to reach the steady state for the cosine case is less than the sine case. The applications of Stokes’ second problem have been widely found in the variety of fields of biomedical, medical, chemical, micro and nanotechnology.
    Źródło:
    International Journal of Applied Mechanics and Engineering; 2019, 24, 2; 359-385
    1734-4492
    2353-9003
    Pojawia się w:
    International Journal of Applied Mechanics and Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Identification of putative miRNAs from expressed sequence tags of Gnetum gnemon L. and their cross-kingdom targets
    Autorzy:
    Krishnatreya, D.B.
    Ray, D.
    Baruah, P.M.
    Dowarah, B.
    Bardoloi, K.S.
    Agarwal, H.
    Agarwala, N.
    Powiązania:
    https://bibliotekanauki.pl/articles/2096394.pdf
    Data publikacji:
    2021
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    microRNAs
    expressed sequence tags
    cross-kingdom
    Gnetum gnemon
    Opis:
    Wild edible plants are often found to be rich sources of nutrients and medicinally beneficial compounds with pharmacological activities. Gnetum gnemon is a nutritionally important plant and a popular food source in parts of Assam and North-East India. Various microRNAs (miRNAs) have been recently identified in many plants; however, there are no records of identification of miRNAs in any species of Gnetum. The prediction of miRNA-target associations in G. gnemon is an important step to facilitate functional genomics studies in this species. In the present study, all known miRNAs from plants available in public domain were used to search for the conserved G. gnemon miRNA homologues in publicly accessible expressed sequence tags (ESTs) in NCBI database. An aggregate of 20 new potential miRNAs belonging to two diverse miRNA families (miR399 and miR5021) were identified through a homology-based search by following stringent filtering criteria. To investigate the potential cross-kingdom effects of the identified miRNAs, we further identified the putative target genes of G. gnemon miRNAs in human transcriptome and analyzed them against the NCBI non-redundant protein database. The KEGG analysis of the target genes indicated that these genes were involved in different metabolic pathways such as caffeine metabolism, drug metabolism, and nitrotoluene degradation. The target genes of G. gnemon miRNAs in humans were found to be associated with various disorders of both hereditary and non-hereditary origin. These results could help to shed new light on understanding of miRNA-mRNAs functional networks in this species and its potential use as a small RNA-based therapy against some human diseases.
    Źródło:
    BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology; 2021, 102, 2; 179-195
    0860-7796
    Pojawia się w:
    BioTechnologia. Journal of Biotechnology Computational Biology and Bionanotechnology
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Applicability of artificial intelligence in smart healthcare systems for automatic detection of Parkinson’s Disease
    Autorzy:
    Pallathadka, Harikumar
    Padminivalli V., S.J.R.K.
    Vasavi, M.
    Nancy, P.
    Naved, Mohd
    Kumar, Harish
    Ray, Samrat
    Powiązania:
    https://bibliotekanauki.pl/articles/38709253.pdf
    Data publikacji:
    2024
    Wydawca:
    Instytut Podstawowych Problemów Techniki PAN
    Tematy:
    Parkinson’s disease
    detection
    machine learning
    relief algorithm
    LDA algorithm
    SVM-RBF
    accuracy
    sensitivity
    specificity
    choroba Parkinsona
    wykrywanie
    nauczanie maszynowe
    algorytm ulgi
    Algorytm LDA
    dokładność
    wrażliwość
    specyficzność
    Opis:
    Parkinson’s disease is associated with memory loss, anxiety, and depression in the brain. Problems such as poor balance and difficulty during walking can be observed in addition to symptoms of impaired posture and rigidity. The field dedicated to making computers capable of learning autonomously, without having to be explicitly programmed, is known as machine learning. An approach to the diagnosis of Parkinson’s disease, which is based on artificial intelligence, is discussed in this article. The input for this system is provided through photographic examples of Parkinson’s disease patient handwriting. Received photos are preprocessed using the relief feature option to begin the process. This is helpful in the process of selecting characteristics for the identification of Parkinson’s disease. After that, the linear discriminant analysis (LDA) algorithm is employed to reduce the dimensions, bringing down the total number of dimensions that are present in the input data. The photos are then classified via radial basis function-support vector machine (SVM-RBF), k-nearest neighbors (KNN), and naive Bayes algorithms, respectively.
    Źródło:
    Computer Assisted Methods in Engineering and Science; 2024, 31, 2; 175-185
    2299-3649
    Pojawia się w:
    Computer Assisted Methods in Engineering and Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-9 z 9

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