scispace - formally typeset
Search or ask a question
Institution

Military Academy

About: Military Academy is a based out in . It is known for research contribution in the topics: Population & Fuzzy logic. The organization has 2478 authors who have published 3003 publications receiving 33188 citations.


Papers
More filters
Journal ArticleDOI
TL;DR: In this article, the effect of using multiwalled carbon nanotubes (MWCNTs) vs traditional carbon materials (as e.g., Vulcan XC-72) as supports for mixed non-platinum catalysts for hydrogen evolution was studied.
Abstract: The effect of using multiwalled carbon nanotubes (MWCNTs) vs. traditional carbon materials (as e.g., Vulcan XC-72) as supports for mixed non-platinum catalysts for hydrogen evolution was studied. Intrinsic changes in catalyst’s structure, surface and activity for hydrogen evolution were registered. It was found that MWCNTs significantly improve the activity of the catalysts as a result of (i) increase of the real surface area of the catalyst, (ii) improving the electrical conductivity of the electrode, (iii) better dispersion of active catalytic centers over the electrode surface and (iv) geometric nature of the nanotubes. This effect is most pronounced in the case of Ni-based catalyst, where the overpotential for hydrogen evolution was lowered by as much as 85 mV at a current density of 60 mA·cm –2 in alkaline electrolyte. The corresponding lowering of overpotential in the Co-based system was 35 mV.

19 citations

Journal ArticleDOI
Andon Lazarov1
TL;DR: In this article, an approximate iterative and recurrent approach for image reconstruction from inverse synthetic aperture radar (ISAR) data is presented. But the method is not suitable for high-resolution images, unambiguous and convergent estimates of the point scatterers' intensities of a target are obtained from simulated ISAR data.
Abstract: This work presents a novel approximate iterative and recurrent approach for image reconstruction from inverse synthetic aperture radar (ISAR) data. Mathematical models of the quadrature components of the ISAR signal, reflected by an object with a complex geometry, are devised. Approximation matrix functions are used to describe deterministic signals reflected by point scatterers located at nodes of the uniform grid (model) during inverse aperture synthesis. Minimum mean square error (MMSE) equations and Kalman equations are derived. To prove the validity and correctness of the developed iterative MMSE method and recurrent Kalman procedure, numerical experiments were performed. The computational results demonstrate high resolution images, unambiguous and convergent estimates of the point scatterers' intensities of a target from simulated ISAR data.

19 citations

Journal ArticleDOI
TL;DR: In this paper, the removal and separation of Co-60, Sr-90, and Cs-137 radioisotopes from nitrate aqueous solutions were studied by competitive transport across cellulose triacetate plasticized membranes using organophosphorous acids compounds.

19 citations

Proceedings ArticleDOI
01 Sep 2007
TL;DR: In this article, a sensorless direct torque control (SDTC) neural network traction control approach of an electric vehicle (EV) without differential gears (electrical differential system) is proposed.
Abstract: This paper proposes a sensorless direct torque control (SDTC) neural network traction control approach of an electric vehicle (EV) without differential gears (electrical differential system). The EV is in this case propelled by two induction motor (one for each wheel). Indeed, using two electric in-wheel motors give the possibility to have a torque and speed control in each wheel. This control level improves the EV stability and the safety. The proposed traction control system uses the vehicle speed that is different from wheels speed characterized by slip in the driving mode, as an input. In terms of the analysis and the simulations carried out, the conclusion can be drawn that the proposed system is feasible. Simulation results on a test vehicle propelled by two 37-kW induction motors showed that the proposed SDTC neural network approach operates satisfactorily.

19 citations

Journal ArticleDOI
TL;DR: A semi-analytical method for analyzing the nonlinear dynamic behavior of functionally graded material (FGM) thin circular cylindrical shells surrounded by an elastic medium under a time-dependent torsional load was proposed in this paper.

19 citations


Authors

Showing all 2478 results

NameH-indexPapersCitations
Kamil Kuca55102916708
Antoni Rogalski4728611516
Ufuk Gündüz442066560
George P. Patrinos433538785
Ching-Hsue Cheng422098222
Saad M. Alshehri422806179
Roman Dabrowski384696415
Daniel Jun372875505
Susheel Kalia361056984
Dragan Pamučar361944519
Turgay Celik355085417
Janice D. Yoder33813486
Miodrag Čolić322123894
T. C. T. Ting321219662
Manuela Tvaronavičienė311532832
Network Information
Related Institutions (5)
University at Buffalo
63.8K papers, 2.2M citations

80% related

University of Connecticut
81.2K papers, 2.9M citations

80% related

City University of New York
56.5K papers, 1.7M citations

80% related

City University of Hong Kong
60.1K papers, 1.7M citations

79% related

Ben-Gurion University of the Negev
60.8K papers, 1.4M citations

79% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20225
2021228
2020263
2019228
2018186
2017243