Papers by Viacheslav Marakhovsky
SPE Reservoir Simulation Symposium, 2011
Giant reservoirs of Middle East contain substantial portion of the world's total hydrocarbons... more Giant reservoirs of Middle East contain substantial portion of the world's total hydrocarbons. Accurate simulation of these reservoirs requires as many as billion cells. A billion-cell parallel reservoir simulator was first presented in 2009. This paper discusses the progress in the past two years and future projections. In addition to black oil models, paper presents a large full field compositional model involving over billion unknowns. Throughout the paper grid size effects, computational work distribution and parallel scalability are discussed and illustrated. Paper also presents futuristic technologies for building and analyzing large simulation models.
Implementation and analysis of the TRIMOSBUS self-clocking interface
Automatic Control and Computer Sciences, 1986
Towards fault-tolerant hardware implementation of physical layer network protocols
Automatic Control and Computer Sciences, 1986
Algorithmic and structural organization of test and recovery facilities in a self-synchronous ring
Automatic Control and Computer Sciences, 1989
WSEAS Transactions on Systems
Abstract:-The subject of the study is design of multi-valued (analog) CMOS fuzzy controllers. A f... more Abstract:-The subject of the study is design of multi-valued (analog) CMOS fuzzy controllers. A functional completeness of summing amplifier with saturation in a multivalued logic of an arbitrary value proven in previous works gives a theoretical background for analog implementation of fuzzy devices. Compared with the traditional approach based on explicit fuzzification/defuzzification procedures analog fuzzy implementation has the advantages of higher speed, lower power consumption, smaller die area and more. In the present paper, ...
Fuzzy logic control is a methodology bridging artificial intelligence and traditional control the... more Fuzzy logic control is a methodology bridging artificial intelligence and traditional control theory. This methodology is usually applied in the only cases when accuracy is not of high necessity or importance. On the other hand, as it is stated in (TI SPRA028, Jan.1993), “Fuzzy Logic can address complex control problems, such as robotic arm movement, chemical or manufacturing process control, antiskids braking systems or automobile transmission control with more precision and accuracy, in many cases, than traditional control techniques ... . Fuzzy Logic is a methodology for expressing operational laws of a system in linguistic terms instead of mathematical equations.” Wide spread of the fuzzy control and high effectiveness of its applications in a great extend is determined by formalization opportunities of necessary behavior of a controller as a “fuzzy” (flexible) representation. This representation usually is formulated in the form of logical (fuzzy) rules under linguistic variabl...
SELF-SYNCHRONOUS RING CHANNEL V. I. V a r s h a v s k i i , V. Ya. V o l o d a r s k i i , V. 0. ... more SELF-SYNCHRONOUS RING CHANNEL V. I. V a r s h a v s k i i , V. Ya. V o l o d a r s k i i , V. 0. M a r a k h o v s k i i , L. Ya. R o z e n b l y u m , Yu. S. T a t a r i n o v , a n d A. V. Y a k o v l e v A v t o m a t i k a i V y c h i s l i t e l ' n a y a T e k h n i k a ,
Proceedings of the 6th Wseas International Conference on Fuzzy Systems, Mar 1, 2005
The subject of the study was hardware implementations of fuzzy controllers as CMOS analog devices... more The subject of the study was hardware implementations of fuzzy controllers as CMOS analog devices on the base of implementation of fuzzy inference rules as multi-valued logic functions using summing amplifiers as building blocks. Earlier a functional completeness of summing amplifier with saturation in an arbitrary-valued logic was proven that gave a theoretical background for analog implementation of fuzzy controllers. In previous works it was suggested to put into accordance to input and output linguistic variables of a controller description logical values of some multi-valued variables and instead of fuzzification and defuzzification procedures to apply piecewise-linear approximation between variable logical levels. In the case when derived logical levels were not evenly distributed in the range of an analog signal change it was suggested to increase the number of logical levels to reach even distribution. Such approach leaded to decreasing controller accuracy. This paper suggested instead of increasing logical levels to use special devices transforming analog input variables into multi-valued variables with even distribution of logical levels and output multi-valued variables into analog view. For these devices the names fuzzifier and defuzzifier were kept. The paper illustrated a design example for real industrial fuzzy controller and provided SPICE simulation results of its functioning.
Proceedings of the International Conference 7th Fuzzy Days on Computational Intelligence Theory and Applications, 2001
In the paper a new approach to building a MOS threshold element and an arti cial neuron on its ba... more In the paper a new approach to building a MOS threshold element and an arti cial neuron on its base is discussed. The implementability of the known MOS threshold elements is restricted by the sum of input weights. It is shown that by switching the element capacitors in the pre-charge phase it is possible to reduce the implementability restriction to the maximum value of the threshold. It essentially expands the set of threshold functions realizable on one element.
Beta-CMOS implementation of an artificial neuron
Wseas Transactions on Circuits and Systems, 2009
This paper offers a new methodology for designing in CMOS technology analog-digital artificial ne... more This paper offers a new methodology for designing in CMOS technology analog-digital artificial neurons training on arbitrary logical threshold functions of some number of variables. The problems of functional ability, implementability restrictions, noise stability, and refreshment of the learned state are formulated and solved. Some functional problems in experiments on teaching logical functions to an artificial neuron are considered. Recommendations are given on selecting testing functions and generating teaching sequences. All results in the paper are obtained using SPICE simulation. For simulation experiments with analog/digital CMOS circuits, transistor models MOSIS BSIM3v3.1, 0.8µm, level 7 are used.
Globally asynchronous systems of interactive Moore state machines
IET Computers & Digital Techniques, 2016
ICECS'99. Proceedings of ICECS '99. 6th IEEE International Conference on Electronics, Circuits and Systems (Cat. No.99EX357), 2000
IEEE. APCCAS 1998. 1998 IEEE Asia-Pacific Conference on Circuits and Systems. Microelectronics and Integrating Systems. Proceedings (Cat. No.98EX242), 2000
Beta-CMOS Artificial Neuron and Implementability Limits
Iwann, 1999
The 22nd Convention on Electrical and Electronics Engineers in Israel, 2002., 2000
Proceedings First IEEE International Workshop on Electronic Design, Test and Applications '2002, 2000
This paper approaches the problem of building an asynchronous control for a stage of the Sproull'... more This paper approaches the problem of building an asynchronous control for a stage of the Sproull's Counterflow Pipeline Processor (CFPP) that does not need arbiters. It is shown that there is no arbitration situations in a synchronous pipeline control circuit with two-track synchronization. An asynchronous control circuit can be built by a synchronous prototype with help of GALA-methodology using the procedure of synchro-stratum designing we suggested earlier.
This paper offers a new technique for designing fuzzy controllers as analog hardware devices on b... more This paper offers a new technique for designing fuzzy controllers as analog hardware devices on bases of CMOS implementation of multi-valued logical functions. This approach is based on using a summing amplifier with saturation as a building block that can be considered as a multi-threshold logical element. The functional completeness in an arbitrary-valued logic of a summing amplifier with saturation is proven. This fact gives a theoretical background for an analog implementation of fuzzy devices. In contrast with the traditional software approach to fuzzy controller implementations based on explicit fuzzification, fuzzy inference, and defuzzification procedures, hardware implementations of fuzzy controllers as analog devices have advantages of higher speed, lower power consumption, smaller die area and more. Universal and proper design methods for such type of hardware are offered. The paper illustrates design examples for real industrial fuzzy controllers and provides SPICE simulation results of their functioning.
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Papers by Viacheslav Marakhovsky