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Damage assessment of structures from changes in natural frequencies using genetic algorithm
Maity, Damodar,Tripathy, Rashmi Ranjan Techno-Press 2005 Structural Engineering and Mechanics, An Int'l Jou Vol.19 No.1
A method is presented to detect and assess the structural damage from changes in natural frequencies using Genetic Algorithm (GA). Using the natural frequencies of the structure, it is possible to formulate the inverse problem in optimization terms and then to utilize a solution procedure employing GA to assess the damages. The technique has been applied to a cantilever beam and a plane frame, each one with different damage scenario to study the efficiency of the developed algorithm. A laboratory tested data has been used to verify the proposed algorithm. The study indicates the potentiality of the developed code to solve a wide range of inverse identification problems in a systematic way. The outcomes show that this method can detect and estimate the amount of damages with satisfactory precision.
Binary complexes of tertiary amines with phenylacetylene. Dispersion wins over electrostatics
Maity, Surajit,Patwari, G. Naresh,Karthikeyan, S.,Kim, Kwang S. Royal Society of Chemistry 2010 Physical chemistry chemical physics Vol.12 No.23
<P>The structures of the binary complexes between phenylacetylene and several tertiary amines <I>viz</I>., triethylamine, 1-ethylpiperidine, 1-ethylpiperazine, 1-azabicyclo[2.2.2]octane, and 1,4-diazabicyclo[2.2.2]octane were inferred using infrared-optical double resonance spectroscopy. The IR spectra in the acetylenic C–H stretching region clearly rule out the formation of electrostatic dominated C–H⋯N hydrogen bonded complexes. The IR spectra also point to the fact that all the five tertiary amines interact with the extended π electron density of the phenylacetylene moiety, leading to the formation of multidentate C–H⋯π hydrogen bonded complexes. Additionally a very weak electrostatic C–H⋯N hydrogen bond enhances the stability of the complex marginally. The multidentate C–H⋯π hydrogen bonded complexes are stabilized by a substantial contribution from the dispersion energy.</P> <P>Graphic Abstract</P><P>The fluorescence detected infrared spectra suggest that 1,4-diazabicyclo[2.2.2]octane interacts with phenylacetylene <I>via</I> dispersion dominated multiple C–H⋯π hydrogen bonds. <IMG SRC='http://pubs.rsc.org/services/images/RSCpubs.ePlatform.Service.FreeContent.ImageService.svc/ImageService/image/GA?id=b918013c'> </P>
On Semirings which are Distributive Lattices of Rings
Maity, S.K. Department of Mathematics 2005 Kyungpook mathematical journal Vol.45 No.1
We introduce the notions of nilpotent element, quasi-regular element in a semiring which is a distributive lattice of rings. The concept of Jacobson radical is introduced for this kind of semirings.
Evaluation of Hepatoprotective Potential of Cassia tora Leaf Extract
Maity, Tapan Kumar,Mandal, Subhash C.,Mukherjee, Pulok K.,Saha, Kakali,Das, J.,Saha, B.P.,Pal, M. The Korean Society of Pharmacognosy 1997 Natural Product Sciences Vol.3 No.2
Methanolic extract of the leaves of Cassia tom was evaluated for its hepatoprotective potentials in rats by inducing hepatotoxicity with carbon tetrachloride. The extract at a dose of 400 mg/kg orally showed significant protective effect by lowering the serum levels of transaminase (SGOT and SGPT), bilirubin and alkaline phosphatase (ALP). The effects produced were comparable to that of a standard hepatoprotective agent.
Chiranjit Maity,Saptadip Samanta,Suman K. Halder,Pradeep K. Das Mohapatra,Bikas R. Pati,Malabendu Jana,Keshab C. Mondal 한국생물공학회 2011 Biotechnology and Bioprocess Engineering Vol.16 No.2
The aim of this study was to produce two isozymes of α-amylase by immobilization of a newly isolated soil bacterium. The bacterium was identified as Bacillus thuringiensis CKB19 on the basis of its 16S rRNA profile. Enzyme production by free cells increased linearly with cell growth up to 34 h in starch containing enriched liquid media. The active bacterial cells were immobilized in Caalginate beads, and operational stability of the entrapped cell was optimized for amylase production. Enzyme production was optimal at an alginate concentration of 2 g%(w/v), calcium chloride concentration of 1 M, and with 300beads (each bead contained 2 × 10^7 cells)/250 mL flask. Amylase production by the immobilized cells was about 3times higher than free cell fermentation after 34 h of incubation. It was observed that the immobilized bacterium secreted two different amylases (Am-I and Am-II) into the culture fluid. The molecular masses of Am-I and Am-II were 59.6 and 44.7 kd, respectively, and showed optimum activity at pH 5.0 and 9.0. Both amylases showed optimum activity at 40℃ and were stable at the same temperature,with losses of only 10 and 20% (for Am I and Am II,respectively) of their original activities after 24 h of incubation. Further, both amylases were salt tolerant (up to 4 M NaCl) and hydrolyzed raw starchy foods into glucose. All these characteristics make this enzyme mixture suitable for use as a digestive aid and for the improvement of digestibility of animal feed ingredients.
Reshmi Maity,N. P. Maity,K. Srinivasa Rao,Girija Sravani,K. Guha,S. Baishya 한국전기전자재료학회 2019 Transactions on Electrical and Electronic Material Vol.20 No.5
This paper models the fringing fi eld eff ects in a capacitive micromachined ultrasonic transducer (CMUT) structure for determining the sensitivity of the device. CMUT is used as a medical imaging component which can be an important module for sustainable healthcare system. The capacitance value of the device is evaluated based on Younes Ataiiyan’s method. To determine the equivalent capacitance of the device, the capacitances of the membrane, gap and silicon nitride insulating layer are associated in series. Mason’s modeling techniques are used to evaluate the membrane displacement. Circular membrane approximation model has been considered. Eff ects of the variation in membrane thickness, gap separation, and membrane radius on membrane displacement are investigated. The analytical prediction has been validated with the finite element method simulation results through PZFlex. Three dimensional modeling is carried out to accurately capture the characteristic behavior of the device. The agreements of both results are excellent which verifi es that fringing field effects exist in the device operation.
Multimodal Biometrics Recognition from Facial Video with Missing Modalities Using Deep Learning
Sayan Maity,Mohamed Abdel-Mottaleb,Shihab S. Asfour 한국정보처리학회 2020 Journal of information processing systems Vol.16 No.1
Biometrics identification using multiple modalities has attracted the attention of many researchers as it producesmore robust and trustworthy results than single modality biometrics. In this paper, we present a novel multimodalrecognition system that trains a deep learning network to automatically learn features after extracting multiplebiometric modalities from a single data source, i.e., facial video clips. Utilizing different modalities, i.e., leftear, left profile face, frontal face, right profile face, and right ear, present in the facial video clips, we trainsupervised denoising auto-encoders to automatically extract robust and non-redundant features. The automaticallylearned features are then used to train modality specific sparse classifiers to perform the multimodalrecognition. Moreover, the proposed technique has proven robust when some of the above modalities weremissing during the testing. The proposed system has three main components that are responsible for detection,which consists of modality specific detectors to automatically detect images of different modalities present infacial video clips; feature selection, which uses supervised denoising sparse auto-encoders network to capturediscriminative representations that are robust to the illumination and pose variations; and classification, whichconsists of a set of modality specific sparse representation classifiers for unimodal recognition, followed byscore level fusion of the recognition results of the available modalities. Experiments conducted on theconstrained facial video dataset (WVU) and the unconstrained facial video dataset (HONDA/UCSD), resultedin a 99.17% and 97.14% Rank-1 recognition rates, respectively. The multimodal recognition accuracydemonstrates the superiority and robustness of the proposed approach irrespective of the illumination, nonplanarmovement, and pose variations present in the video clips even in the situation of missing modalities.
Barnali Maity,Manajit Bora,Debjeet Sur 경희대학교 융합한의과학연구소 2018 Oriental Pharmacy and Experimental Medicine Vol.18 No.2
Diabetic nephropathy is the one of the major complication of diabetes mellitus which is the main cause of renal failure. The treatment of diabetic nephropathy includes different nonpharmacological and pharmacological approach, but poor prognosis. Our study was designed to investigate the combined effect of resveratrol and vitamin D3 on the glucose homeostasis, histological changes, and cell damage biomarkers in streptozotocin-induced diabetic rat kidneys. Oral treatment with resveratrol (10 mg/kg/day), vitamin D3 (0.5 µgm/kg), and the combination for 10 weeks showed an increase in the average body weights compared to the untreated diabetic rats. The combination showed a highly significant decrease in fasting blood glucose levels, serum cholesterol levels compared to the untreated diabetic rats, there is a significant increase in serum HDL cholesterol levels. There is a highly significant decrease in serum creatinine, urea, albumin levels compared to the untreated diabetic rats. However, the combination treatment provides superior efficacy than individual drug treatments. Histopathological examination of the kidney tissue section revealed that the diabetic rats treated with resveratrol, vitamin D3, and the combination showed noticeable improvement in the histopathological parameters compared to untreated diabetic rats. However, a marked reduction of TNF-α and IL-6 expression was observed in combination treated rats compared to individual drug treatments. Combination therapy was significantly more effective in treating diabetic nephropathy than resveratrol and vitamin D3 alone. Resveratrol and vitamin D3 has a protective role of diabetic kidneys.