• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.8 no.2
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• pp.15-21
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• 2008

This paper discuss the sequential digital logic systems and arithmetic operation algorithms which is the important material in computer architecture using analysis and synthesis which is based on extension logic for binary logic over galois fields. In sequential digital logic systems, we construct the moore model without feedback sequential logic systems after we obtain the next state function and output function using building block T-gate. Also, we obtain each algorithms of the addition, subtraction, multiplication, division based on the finite fields mathematical properties. Especially, in case of P=2 over GF($P^m$), the proposed algorithm have a advantage which will be able to apply traditional binary logic directly.The proposed method can construct more efficiency digital logic systems because it can be extended traditional binary logic to extension logic.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.44 no.1
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• pp.1-7
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• 2007

An MTJ element not only computes Boolean function but also stores the output result in itself. We can make the most use of magneto-logic's merits by employing the magneto-logic in substitution for the sequential logic as well as the combinational logic. This unique feature opens a new horizon for potential application of MTJ as a universal logic element. Magneto-logic circuits using MTJ elements are more integrative and non-volatile. This paper presents novel 3-bit magneto-logic up/down counters and presents simulation results based on the HSPICE macro-model of MTJ that we have developed.

• Journal of The Korean Society of Agricultural Engineers
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• v.60 no.3
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• pp.83-94
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• 2018

This study aims to apply the logic model in order to evaluate outcomes of revitalization projects of rural centers as a part of the regional capacity strengthening in Yeongwol-gun. According to the study results, first of all, it was unclear to answer for questions what, how and why to lead the project, when examining logical associations among program inputs, activities, outputs and outcomes. As an alternative method, the logic model has been applied, and this in turn led to clarify the goals, inputs, contents, outputs, outcomes as well as overall outcome goals and purpose of the current projects. Second of all, the initial, intermediate and long term outcome goals of the current project were indistinctly specified, and moreover, their evaluation methods were also unclear. By applying the logic model to the current regional capacity strengthening project, it was able to figure the distinction between program outputs and outcomes, and specify initial, intermediate and long term target goals as well as their evaluation tools. It is therefore to conclude that the logic model has a possibility to apply to a project evaluation, especially in the sense that this method considers efficiency, effectiveness and accountability of each project.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.45 no.12
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• pp.1-7
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• 2008

Magnetic Tunneling Junction (MTJ) has been used as a nonvolatile universal storage element mainly in memory technology. However, according to several recent studies, magneto-logic using MTJ elements show much potential in substitution for the transistor-based logic device. Magneto-logic based on MTJ can maintain the data during the power-off mode, since an MTJ element can store the result data in itself. Moreover, just by changing input signals, the full logic functions can be realized. Because of its programmability, it can embody the reconfigurable magneto-logic circuit in the rigid physical architecture. In this paper, we propose a novel 3-bit arbitrary magneto-logic circuit beyond the simple combinational logic or the short sequential one. We design the 3-bit magneto-logic which has the most complexity using MTJ elements and verify its functionality. The simulation results are presented with the HSPICE macro-model of MTJ that we have developed in our previous work. This novel magneto-logic based on MTJ can realize the most complex logic function. What is more, 3-bit arbitrary logic operations can be implemented by changing gate signals of the current drivel circuit.

• The Transactions of the Korea Information Processing Society
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• v.4 no.4
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• pp.1004-1012
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• 1997

This paper proposes a new TRF(Transition Rise\Fall)delay model for the effcient hazard analysis in a 5-valued logic sumulation enviroment.For the hazzard for a given logic circuit, the timing analysis is first performed by means of a 5-valued logic simulator which uses the TRF delay model which incorporates the response delay for a reponse state with the transition delay for a transition state of an elment, and then hazards are detected through investigating timing relations.Simulation examples and experimental results are also given to demostrate the pradticability of the proposed methods.

• Computers and Concrete
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• v.19 no.6
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• pp.617-623
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• 2017

This work is conducted with the aim of using waste material to reserve the natural resources. The objective is accomplished by conducting experimentation and verify by modeling based on fuzzy logic. In experimentation, concrete is casted by using natural/river sand as fine aggregate and termed as control specimen. Natural sand is conserved by replacing it with used foundry sand (UFS) by an amount of 10, 20 and 30% by weight. Fresh and hardened properties of concrete are investigated at different ages. It is observed that compressive strength and modulus of elasticity reduced with the increase in amount of UFS. Furthermore, concrete compressive strength is predicted by using fuzzy logic model and verified at different replacement ratio and age with experimental observations.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1510-1515
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• 2005

This paper is concerned with a Logic-based Fuzzy Neural Networks (LFNN) with the aid of fuzzy granulation. As the underlying design tool guiding the development of the proposed LFNN, we concentrate on the context-based fuzzy clustering which builds information granules in the form of linguistic contexts as well as OR fuzzy neuron which is logic-driven processing unit realizing the composition operations of T-norm and S-norm. The design process comprises several main phases such as (a) defining context fuzzy sets in the output space, (b) completing context-based fuzzy clustering in each context, (c) aggregating OR fuzzy neuron into linguistic models, and (c) optimizing connections linking information granules and fuzzy neurons in the input and output spaces. The experimental examples are tested through two-dimensional nonlinear function. The obtained results reveal that the proposed model yields better performance in comparison with conventional linguistic model and other approaches.

• Journal of Power Electronics
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• v.12 no.2
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• pp.305-316
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• 2012

The paper presents an accurate loss model based controller of an induction motor to calculate the optimal air gap flux. The model includes copper losses, iron losses, harmonic losses, friction and windage losses, and stray losses. These losses are represented as a function of the air gap flux. By using the calculated optimal air gap flux compared with rated flux for speed sensorless indirect vector controlled induction motor, an improvement in motor efficiency is achieved. The motor speed performance is improved using a fuzzy logic speed controller instead of a PI controller. The fuzzy logic speed controller was simulated using the fuzzy control interface block of MATLAB/SIMULINK program. The control algorithm is experimentally tested within a PC under RTAI-Linux. The simulation and experimental results show the improvement in motor efficiency and speed performance.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.12
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• pp.2285-2290
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• 2008

Even though efficiency of coal-fired power plant is proportional to operating temperature, increasement of operating temperature is limited by a technological level of each power plant component. It is an alternative plan to increase operating pressure up to ultra super critical point for efficiency enhancement. It is difficult to control process of power plant in ultra super critical point because that point has highly nonlinear characteristics. In this paper, new control logic, Unit Response Optimizer Controller(URO Controller) which is based on Fuzzy logic and Model Predictive Controller, is introduced for better performance. Then its performance is tested and analyzed with design guideline.

• Journal of applied mathematics & informatics
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• v.20 no.1_2
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• pp.433-443
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• 2006

In [1], they build two populations' cellular automata model with predation based on the Penna model. In this paper, uncertain aspects and problems of imprecise and vague data are considered in this model. A fuzzy cellular automata model containing movable wolves and sheep has been built. The results show that the fuzzy cellular automata can simulate the classical CA model and can deal with imprecise and vague data.