Abstract: The notion of fuzzy individual-optimal equilibrium, where every player is considering the interests of fuzzy set of other players, was defined. The notion of a union of fuzzy set of clear relations is put in for this purpose. Structural formulas for the construction of a function of belonging of this relation are developed. The Connection of fuzzy equilibrium with the set of individual-optimal equilibriums was researched and the existence of maximizing fuzzy equilibrium was defined.

Keywords: fuzzy set, fuzzy goal, fuzzy game, membership function, fuzzy set of type 2, decision making.

ACM Classification Keywords: I. Computing Methodologies – I.6. Simulation and modeling (Time series analysis) – I.6.8 Types of Simulation – Gaming.

Link:

INDIVIDUAL-OPTIMUM EQUILIBRIUMS IN GAMES WITH FUSSY PURPOSES OF PLAYERS

Sergiy Mashchenko

http://www.foibg.com/ijita/vol19/ijita19-2-p03.pdf

Abstract: In the problem of optimal estimation of model parameters using risk criteria we propose an approach of separation of linear parameters from the nonlinear ones. In the problem of finding a global minimum of risk criteria our approach leads to a decrease of the dimension of the space of free variables up to the dimension of the space of the nonlinear parameters. This allows one to obtain a simpler minimization problem, which can be solved more efficiently via Monte Carlo methods. Such an improvement is very significant in estimation of the models of the object “aging” while investigation of geophysical objects, models of which typically have high dimensionality. We illustrate the proposed method with processing and analysis of data obtained during the field observations in the regime of monitoring.

Keywords: math model, active monitoring, risk criteria, linear and nonlinear parameters.

ACM Classification Keywords: G. 1. 6. Mathematics of Computing, Numerical Analysis, Optimization.

Link:

ABOUT CRITERIA FOR AN ESTIMATION OF NONLINEAR PARAMETERS IN MODELS OF MONITORING

Sergii Mostovyi, Vasilii Mostovyi

http://www.foibg.com/ijita/vol19/ijita19-2-p02.pdf

Abstract: Membrane computing is a recent area that belongs to natural computing. This field works on computational models based on nature's behavior to process the information. Recently, numerous models have been developed and implemented with this purpose. P-systems are the structures which have been defined, developed and implemented to simulate the behavior and the evolution of membrane systems which we find in nature. What we show in this paper is a new model that deals with encrypted information which provides security the membrane systems communication. Moreover we find non deterministic and random applications in nature that are suitable to MEIA systems. The inherent parallelism and non determinism make this applications perfect object to implement MEIA systems.

Keywords: P-systems mapping, MEIA systems, membrane systems.

Link:

MEIA SYSTEMS: MEMBRANE ENCRYPTED INFORMATION APPLICATIONS SYSTEMS

Nuria Gomez, Alberto Arteta, Luis Fernando Mingo

http://www.foibg.com/ijita/vol19/ijita19-2-p01.pdf

Abstract: We present a logical tool which allows understanding the rationality of the translation underlying some interactions in Nature. In an abstract, formal way, we can demonstrate the epistemological link between a sequence and a multidimensional assembly – that is, between the DNA and the organism. The model presented here is a work of basic science. It allows exact conceptualizations relating to logical markers, thresholds, constants on the levels of Logic and Information Theory. Some interpretations of the principles demonstrated here will allow the building of hypotheses relating to fields, forces, mass, velocity, energy and the like concepts. The accounting exactitude observed on processes of a chemical nature is well mirrored in the model. We see that a three-some of logical markers evolves as the basic definition of a process: that is, if we observe a change in a logical assembly, we relate it to a three-some. The “triplet” known from Genetics appears to be the represented in formal logic as the basic tool of registering change. In this respect, the model allows the application of accounting methods in the understanding of theoretical genetics.

Keywords: information theory, mathematics, category theory, unified field theory

ACM Classification Keywords: A.1.,F1.1.,F.4.1,I.6.0; Design, Theory, Algorithms

Link:

ACCOUNTING IN THEORETICAL GENETICS

Karl Javorszky

http://www.foibg.com/ijita/vol19/ijita19-01-p06.pdf

Annotation: For the first time he initial system of information concepts is deduced in the paper from the most general properties of our Universe. For this purpose for the first time by means of Universe Methodology the Universe Model that is externally and internally consistent with the observable Universe and modern Science is obtained. Definitions of the basic concepts of computer science, presented in the natural language and structural logic forms allowing their effective application in manual research and development are obtained. For the first time the application of the obtained system of concepts allows to solve a lot of complicated problems of modern computer science and Science as a whole. The results of the paper have general scientific importance of uniform world scientific standard. The specified Model is actually a universal meta-theory, allowing to generate secondary applied theories of many subject domains according to the common universal methodology permitting subsequent realization. Unlike philosophical reasoning the offered system of concepts concerns exact sciences and allows complete formalization in essence.

Link:

BEGINNINGS OF THE UNIVERSE MODEL AND DEDUCTION OF INITIAL SYSTEM OF INFORMATION CONCEPTS

Alexander V. Sosnitsky

http://www.foibg.com/ijita/vol19/ijita19-01-p05.pdf

Abstract: Decision of problem of choice on set of mathematical models of telecommunication networks' streams is presented. By means of comparison of alternatives – calls' streams' models used in teletraffic theory by Slater's vector criterion plural optimum decision is received.

Keywords: convergent telecommunication network, calls' stream, teletraffic theory, vector criterion of preference.

ACM classification keywords: H. Information Systems - H.1 MODELS AND PRINCIPLES.

Link:

DECISION OF PROBLEM OF CHOICE ON SET OF TELECOMMUNICATION NETWORKS' STREAMS' MATHEMATICAL MODELS

Maxim Solomitsky

http://www.foibg.com/ijita/vol19/ijita19-01-p04.pdf

Abstract: The integrated tools for modelling and technologies for restoration of oil polluted soils and water bodies are proposed. Application of this tools on the stage of modeling allows to determine the geometrical parameters of pollution, its density, c oncentration, rate of distribution, to study the forecast and foresight of the spread of contamination and then to efficiently solv e the problem of calculating the required volume and concentration of the sorbent. As soon as the stage of modeli ng is fulfilled and the required volume of the sorbent is defined the stage of the sorbent production is carried out. Technological principles for obtaining of carbon bioactive materials of bio-destructive type and application for purification of soil and water bodies from oil and oil products are used. New environmental technology and methodology consist of creation of a new type of bio- sorptive material, based on natural raw materials, immobilized on the surface of microorganisms-destructors of aboriginal origin with a broad spectrum of action. Created carbon sorbents, based on vegetable raw materials, bio-activated by natural association of oil-oxidizing micro-organisms are effective for the purification of ecosystems from oil pollution, do not re quire removal from the field of proces sing and utilization. Implementation of integrated tools for restoration of oil polluted soils and water bodies allows to reduce the period and cost of areas purification.

Keywords: integrated modeling tools, foreca st, foresight, informati on platform, microbiological technologies, oil polluted soils and water bodi es, utilization, safety

ACM Classification Keywords: H.4.2. INFORMATION SYSTEM APPLICATION: type of system strategy

Link:

INTEGRATED TOOLS FOR RESTORATION OF OIL POLLUTED SOILS AND WATER BODIES

Nataliya Pankratova, Lyudmila Khokhlova

http://www.foibg.com/ijita/vol19/ijita19-01-p03.pdf

Abstract: In this work an example of multi-variant clustering is presented. The problems to be solved are described and multi-variant clustering based on pyramidal multi-layer multi-dimensional structures is outlined. The conclusion is that the multi-variant clustering combined with pyramidal generalization and pruning gives reliable results.

Keywords: Data mining, multi-variant clustering, pyramidal multi-layer multi-dimensional structures.

ACM Classification Keywords: H.2.8 Database Applications, Data mining; I.5.3 Clustering.

Link:

MULTI-VARIANT PYRAMIDAL CLUSTERING AND ANALYSIS HIGH-DIMENSIONAL DATA

Krassimira B. Ivanova, Vitalii Velychko, Krassimir Markov

http://www.foibg.com/ijita/vol19/ijita19-01-p02.pdf

Abstract: Social interaction always includes communication, or information exchange. In this exchange information has different properties that impact the communication process. These properties allow us to separate several types of information and formulate conditions determining what type of information is more efficient in a certain style of communication and what type of information to specific communication parties.

Keywords: information, communication, representation, carrier, society,

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A SYSTEM APPROACH TO INFORMATION STRUCTURING IN THE CONTEXT OF SOCIAL INTERACTION

Mark Burgin

http://www.foibg.com/ijita/vol19/ijita19-01-p01.pdf

Abstract: In this paper, we propose a discrete model of the dynamic inter-branch balance with advanced argument, which takes into account the time lag of construction and commissioning of new capacities. General nonnegative solution of the difference equation with advanced argument is obtained. Dual analysis of the model based on two hypotheses (static and dynamic) of the costs’ balance of system “production - consumption " has been provided.

Keywords: Dynamic inter-branch balance, primal and dual models

ACM Classification Keywords: H.1 Models and Principles

Link:

DYNAMIC INTER-BRANCH BALANCE WITH ADVANCED ARGUMENT (THE DISCRETE CASE)

Igor Lyashenko, Yuriy Tadeev

http://www.foibg.com/ijita/vol21/ijita21-03-p09.pdf

Abstract: There were considered main approaches, methods and features of energy consumption forecasting and creating program complex of a regional model of environmental of wholesale electricity in Russian federation.

Keywords: modeling and forecasting of energy consumption, the program complex, information-analytical systems, econometric modeling.

ACM Classification Keywords: H. Information Systems. H.4 Information Systems Applications: H.4.2 Types of Systems – Decision support (e.g., MIS).

Link:

PROGRAM COMPLEX OF REGIONAL MODELS OF ELECTRICITY CONSUMPTION FOR THE RUSSIAN FEDERATION

Galina Starkova, Natalia Frolova

http://www.foibg.com/ijita/vol21/ijita21-03-p08.pdf

Abstract: An axiomatic approach to solve the problem of narrowing the Pareto set based on some numerical information regarding preferences of the decision maker is considered. This approach has been developed by the author since 1983. It requires the acceptance of certain four axioms of "reasonable" behavior of the Decision Maker during the decision making process. It is assumed that in addition to the axioms some information regarding the Decision Maker’s preferences (the so-called "quanta" of information) is known. Using this information it is possible to reduce the Pareto set and thereby facilitate subsequent selection of solutions. We analyze a class of multicriteria choice problems for which this approach can be applied, as well as discuss of possible directions for its generalization.

Key words: Pareto set, multicriteria choice, Pareto set reducing

ACM Classification Keywords: F.4.3 – Decision problems

Link:

GENERALIZED AXIOMATIC APPROACH TO THE PARETO SET NARROWING

Vladimir Noghin

http://www.foibg.com/ijita/vol21/ijita21-03-p07.pdf

Abstract: Earlier, in the framework of our previous papers, we introduced a criterion for comparing interval alternatives, which was called the assurance factor. It is based on the balance of chances that hypothesis on preference for one of the compared alternatives is true and the risks associated with the possible truth of the opposite hypothesis. The criterion is dimensionless that is not similar to other criteria used for this purpose. In this paper this criterion and its calculation method are proposed to use for analysis of the most important from a practical point of view problems of forecasting the expected effectiveness of the individual alternatives. Numerical procedures have been developed to calculate the values of the assurance factor in the case of arbitrary distribution on the analyzed interval alternative. Analytical expressions were also found for the uniform and triangular distributions. Comparison of the results was produced for evaluating the expected effectiveness of interval alternatives on the proposed criterion and on base of other evaluation criteria (mean value, Hurwicz criterion). The arguments presented in favor of adequacy of the proposed criterion for problems of forecasting both expected efficiency of interval alternatives and comparison of alternatives on preference. The possibility harmonizing of results comparing alternatives and evaluating their expected efficiency based on Hurwicz criterion and on the assurance factor was considered. Relation of the assurance factor with "pessimism - optimism" coefficient was received. On this basis we analyze the question concerning substantiation of the choice of Hurwicz criterion values. Using ordinal scales in the process of comparing alternatives and evaluating their expected effectiveness on base of the assurance factor is proposed.

Keywords: estimating expected efficiency of interval alternatives, criterion estimating efficiency, comparing different criteria of efficiency

ACM Classification Keywords: H.1.2 Human information processing. G3 Distribution functions. I.2.3 Uncertainty, “fuzzy”, and probabilistic reasoning

Link:

EVALUATING EXPECTED EFFECTIVENESS OF INTERVAL ALTERNATIVES

Abstract: The problem of corporations’ financial analysis and creditability forecasting under uncertainty and risk is considered. The classical scoring method is described. The application of fuzzy neural networks with algorithms of Mamdani and Tsukamoto for enterprises creditability analysis and forecasting is suggested. Fuzzy rules base for NFNs was developed. The experimental investigations of NFNs in the problem creditability forecasting were carried, their efficiency estimated and compared with scoring method.

Keywords: creditability, forecasting, financial analysis, fuzzy neural networks, scoring method

Link:

FINANCIAL ANALYSIS AND CREDIITABILITY ESTIMATION OF BORROWERS - CORPORATIONS UNDER UNCERTAINTY

Yuriy Zaychenko, Ovi Nafas Aghaei Agh Ghamish

http://www.foibg.com/ijita/vol21/ijita21-03-p04.pdf

Abstract: New ant colony optimization algorithm has been investigated. Optimal search tactic and ant decision making criterion have been found.

Keywords: Ant colony optimization algorithm, travelling salesman problem, salesman problem

ACM Classification Keywords: G Mathematics of computing – G.2 Discrete mathematics – G.2.2 Graph theory – Graph algorithms, Network problems; I Computing Methodologies – I.2. Artificial Intelligence – I.2.8 Problem Solving, Control Methods and Search – Graph and tree search strategies

Link:

CRITERIA INVESTIGATIONS IN ANT COLONY OPTIMIZATION ALGORITHM FOR TRAVELLING SALESMAN PROBLEM

Yuriy Zaychenko, Nicholas Murga

http://www.foibg.com/ijita/vol21/ijita21-03-p03.pdf

Abstract: The paper describes an approach to multicriteria choice of computing complex using a multi-stage technology for sequential reducing the dimension of the criteria space. Several hierarchical systems of composite criteria, which aggregate initial characteristics of complex in a single integral index of prospectivity, were built using the methods of verbal decision analysis. The proposed approach allows to simplify the procedure of multicriteria comparisons and choices of options, reduce the complexity of the procedure, select the most preferred option and assess the quality of the selection.

Keywords: multicriteria choice, verbal decision analysis, reducing the dimension of the attribute space, attribute aggregation, integral index, computing complex

ACM ClYsification? Keywords: A.0 General Literature - Conference proceedings

Link:

SELECTION OF COMPUTING COMPLEX BY INTEGRAL IDEX OF PROSPECTIVITY

Alexey Petrovsky, Vasiliy Lobanov, Alla Zaboleeva-Zotova?, Tatiana Shitova

http://www.foibg.com/ijita/vol21/ijita21-03-p02.pdf

Abstract: Proposed in this paper the method for finding related concepts in domain can improve the quality of automatically generated ontologies. The method can be efficiently used for tasks of semantic search systems analysis of electronic texts and automatic creation of ontological domain models.

Keywords: related concepts, ontology, morphological properties of words, automatically generated ontologies, domain

ACM Classification Keywords: I.2 Artificial Intelligence - I.2.4 Knowledge Representation Formalisms and Methods

Link:

CREATING SET OF RELATED CONCEPTS FOR AUTOMATIC ONTOLOGY SYNTHESIS

Larysa Chala, Anton Chizhevskyi

http://www.foibg.com/ijita/vol21/ijita21-03-p01.pdf

Abstract: The purpose of the paper is to comprehensively characterize the implementation and the current use of electronic health records (EHRs) in Poland. The paper presents the conception of the management of patient information in Polish health care system. In this paper author presents the assumptions of the strategies of implementing IT systems in the health protection sector in Poland. It contains a review of IT systems dedicated for health care centers. The author described a system of electronic medical records, taking into account governmental plans for implementing the Health Insurance Card and Polish.ID systems, as well as the Electronic Verification of Beneficiary Entitlements (EVBE) system being implemented by Polish government. The project of the EVBE system is a newest part of Polish health care system. The paper presents also an example of electronic European Health Insurance Card system to management of patient information in Polish health care system supported by the EVBE. European Health Insurance Card was created as a response to the necessity of verification of a patient in the European Union and in the countries of the Schengen area. The aim of the article is to describe the difference between the public electronic patient record system in Poland and the private IT systems dedicated for health care centres. The author described a system of electronic medical report, taking into account governmental plans for implementing the Health Insurance Card and pl.ID systems, as well as e- Prescription system being implemented by the Centre for Health Information Systems.

Keywords: IT systems in health care, electronic health insurance card, health informatics, electronic medical records.

ACM Classification Keywords: K6: management of computing and information systems

Link:

THE MANAGEMENT OF PATIENT INFORMATION IN POLISH HEALTH CARE SYSTEM

Anna Sołtysik-Piorunkiewicz?

http://www.foibg.com/ijita/vol21/ijita21-02-p08.pdf

Abstract: Classification and feature selection techniques are among the most commonly used mathematical approaches for analysis and interpretation of biological data. One of the important characteristics of any classifier is its classification error, which is important to take into consideration for accurate data analysis. The most popular error estimation techniques (resubstitution, bootstrapping, cross-validation) strikingly vary in performance. It is well known that more accurate classifiers such as bootstrapping, cross-validation are very slow, while heavily biased resubstitution is very fast. Recently, a new bolstered error estimation technique has been proposed that optimally combines speed and accuracy. It uses a Monte-Carlo? sampling based algorithm for classification for the general case, but for the case of linear classification, an analytical solution may be applied. In this paper we introduce geometric approach for bolstered error estimation and compare its performance with other error estimation algorithms. The results obtained show that geometric bolstered error estimation algorithms are very fast error estimation techniques characterized by accuracy comparable with LOO and having lower variance. These algorithms are useful for analyzing extremely large numbers of features and may find their applications in wide fields of - omics data analysis.

Keywords: Biology and genetics, Classifier design and evaluation, Machine learning.

ACM Classification Keywords: A.0 General Literature - Conference proceedings, I.5.2 – Classifier design and evaluation, Feature evaluation and selection. J.3 - Biology and genetics

Link:

GEOMETRIC APPROACH FOR GAUSSIAN-KERNEL BOLSTERED ERROR ESTIMATION FOR LINEAR CLASSIFICATION IN COMPUTATIONAL BIOLOGY

Arsen Arakelyan, Lilit Nerisyan, Aram Gevorgyan, Anna Boyajyan

Abstract: The paper considers the issues and highlighted the development of information technology processing of information of customs control, which uses effective methods and tools to identify risks of violation of customs legislation. It was suggested take a holistic mechanism for the preparation, processing and interpretation of the results. The proposed information technology will increase the efficiency of the automated system of analysis and risk management Customs Service of Ukraine.

Keywords: customs control, risk management, neural networks

ACM Classification Keywords: I.5 Pattern Recognition – I.5.1 Models – Neural nets Introduction

Link:

INFORMATION TECHNOLOGY OF PROCESSING INFORMATION OF THE CUSTOMS CONTROL

Borys Moroz, Sergii Konovalenko

http://www.foibg.com/ijita/vol21/ijita21-02-p06.pdf

Abstract: Conventional methods in multilateral drilling processes incorporate magnetometer-based surveying systems for determining the position and attitude of the bottomhole assembly (BHA). Magnetic surveying results in an increased weight of the BHA, higher cost due to shielding with bulky nonmagnetic collars and, more importantly, severely degraded performance due to unavoidable geomagnetic interferences such as metal and ore deposits in the vicinity. Micro-Electromechanical? Systems (MEMS) based Inertial Navigation Systems (INS) have been proposed as an alternative to magnetic surveying for multilateral drilling. Previous studies have shown theoretically and experimentally that a Kalman filter-based In-Drilling? Alignment (IDA) and its minimized version Rotary In-Drilling? Alignment (R-IDA) successfully limit the accumulated error growth associated with the INS, compared to the traditional zero-velocity update (ZUPT) alignment method. A high performance wireless MEMSbased INS has been proposed for R-IDA alignment, the implementation simplicity and high accuracy of which could be very useful in multilateral drilling processes. Furthermore, this paper discusses the concept of wireless data transmission within drill pipes downhole in comparison to other existing or emerging methods. It is shown that wireless telemetry inside the drill pipes is potentially capable of transmitting up to 250,000 bits per second (bits/sec) with high reliability and low power consumption, which makes a drill string based local network for realtime downhole monitoring and control applications feasible.

Keywords: Multilateral drilling design, wireless data transmission, downhole instrumentation, rotary In-Drilling? Alignment.

ACM Classification Keywords: A.0 General Literature - Conference proceedings; J.2 Physical Sciences and Engineering.

Link:

WIRELESS DATA TRANSMISSION OPTIONS IN ROTARY IN-DRILLING ALIGNMENT(R-IDA) SETUPS FOR MULTILATERAL OIL DRILLING APPLICATIONS

Zhenhua Wang, Tao Li, Myles McDougall?, Dan McCormack?, Martin P. Mintchev

http://www.foibg.com/ijita/vol21/ijita21-02-p05.pdf

Abstract: In the paper wavelets expansions of random processes are studied. The matter is that although it is enough information for wavelets expansions of deterministic functions, for random processes such theory is weak and it should be developed. The paper investigates uniform convergence of wavelet expansions of Gaussian random processes. The convergence is obtained under simple general conditions on processes and wavelets which can be easily verified. Applications of the developed technique are shown for several wavelet bases. So, conditions of uniform convergence for Battle-Lemarie? wavelets and Meyer wavelets expansions of Gaussian random processes are presented. Another useful in various computational applications thing is the rate of convergence, especially if we are interested in the optimality of the stochastic approximation or the simulations. An explicit estimate of the rate of uniform convergence for Battle-Lemarie? wavelets and Meyer wavelets expansions of Gaussian random processes is obtained and compared.

Keywords: random processes, wavelets expansion, uniform convergence, Battle-Lemarie? wavelets, Meyer wavelets, Gaussian processes.

ACM Classification Keywords: G.3 Probability and Statistics - Stochastic processes

Link:

COMPARISON OF DIFFERENT WAVELET BASES IN THE CASE OF WAVELETS EXPANSIONS OF RANDOM PROCESSES

Olga Polosmak

http://www.foibg.com/ijita/vol21/ijita21-02-p04.pdf

Abstract: Forrester´s model (FM) is a system of nonlineal differential equations constructed at far 70-s. Since that time FM remains a classical example of applications of system dynamics principles. This paper shortly describes the theory, algorithms and program WorldDyn? for end-users being interested to meet themselves with FM. Moreover the program allows to model undefiniteness presented in the form of additive or multiplicative noise. By the moment there is no any free-share software having these possibilities.

Keywords: Forrester model, numerical analysis, noise-immunity, applied software.

Link:

WORLDDYN AS THE TOOL FOR STUDY OF WORLD DYNAMICS WITH FORRESTER’S MODEL: THEORY, ALGORITHMS, EXPERIMENTS

Olga Proncheva

http://www.foibg.com/ijita/vol21/ijita21-02-p03.pdf

Abstract: Mathematical models of N-finite (N  2) (especially for N= 216 typical for IBM-compatible personal computers) real, integer or Boolean valued computations are proposed in the frameworks of a finite-discrete mathematics. Such a mathematical model more precisely characterizes the contemporary practice of the computer use. Notions of an N-finite RAM (Random Access Machine), an N-finite RASP (Random Access Machine with Stored Program) and an N-finite Pascal program using integer operations modulo N with the reminders from the segment –N/2, N/2 – 1 + (N mod 2) are introduced. A formal N-finite quantifier logic language of modulo N arithmetic operations is defined. It allows formulating mathematical properties of such a non-recursive total Pascal function or predicate. It is proved that the problem of a formula identical truth in such a language containing arithmetic operations modulo N is a P-SPACE-complete one. So, the proof of a correctness of a non-recursive total Pascal program may be simplified with the use of the proposed language.

Keywords: P-SPACE-completeness, RAM, RASP, Pascal, correctness of a Pascal program.

ACM Classification Keywords: F.2.m Analysis of Algorithms and Problem Complexity Miscellaneous.

Link:

A LANGUAGE USING QUANTIFIERS FOR DESCRIPTION OF ASSERTIONS ABOUT SOME NUMBER TOTAL PASCAL FUNCTIONS

Nikolay Kosovskii

http://www.foibg.com/ijita/vol21/ijita21-02-p02.pdf

Abstract: The reliability and the cost of electronic circuits are closely connected to the maximum power dissipated by them. Tools for evaluating the worst case power consumption of sequential circuits is becoming a primal concern for designers of low-power circuits. In the paper the task of estimation of peak sustainable power for CMOS synchronous sequential circuit is considered when its automaton description in the form of Finite State Machine (FSM) is available. The method is based on finding out the simple directed cycles of FSM state transition graph closely related with test sequences for simulating the sequential circuit for sustainable power estimation.

Keywords: low-power design, power consumption, CMOS circuits, peak power estimation.

ACM Classification Keywords: B.6.1 Logic design: Design Style – Sequential circuits; B.7.3 Integrated Circuits: Reliability and Testing – Test Generation

Link:

ESTIMATION OF PEAK SUSTAINABLE POWER CONSUMPTION FOR SEQUENTIAL CMOS CIRCUITS

Liudmila Cheremisinova, Arkadij Zakrevskij

http://www.foibg.com/ijita/vol21/ijita21-01-p10.pdf