• Title/Summary/Keyword: control logic

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FUZZY matching using propensity score: IBM SPSS 22 Ver. (성향 점수를 이용한 퍼지 매칭 방법: IBM SPSS 22 Ver.)

  • Kim, So Youn;Baek, Jong Il
    • Journal of the Korean Data and Information Science Society
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    • v.27 no.1
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    • pp.91-100
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    • 2016
  • Fuzzy matching is proposed to make propensities of two groups similar with their propensity scores and a way to select control variable to make propensity scores with a process that shows how to acquire propensity scores using logic regression analysis, is presented. With such scores, it was a method to obtain an experiment group and a control group that had similar propensity employing the Fuzzy Matching. In the study, it was proven that the two groups were the same but with a different distribution chart and standardization which made edge tolerance different and we realized that the number of chosen cases decreased when the edge tolerance score became smaller. So with the idea, we were able to determine that it is possible to merge groups using fuzzy matching without a precontrol and use them when data (big data) are used while to check the pros and cons of Fuzzy Matching were made possible.

A Personalized Hand Gesture Recognition System using Soft Computing Techniques (소프트 컴퓨팅 기법을 이용한 개인화된 손동작 인식 시스템)

  • Jeon, Moon-Jin;Do, Jun-Hyeong;Lee, Sang-Wan;Park, Kwang-Hyun;Bien, Zeung-Nam
    • Journal of the Korean Institute of Intelligent Systems
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    • v.18 no.1
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    • pp.53-59
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    • 2008
  • Recently, vision-based hand gesture recognition techniques have been developed for assisting elderly and disabled people to control home appliances. Frequently occurred problems which lower the hand gesture recognition rate are due to the inter-person variation and intra-person variation. The recognition difficulty caused by inter-person variation can be handled by using user dependent model and model selection technique. And the recognition difficulty caused by intra-person variation can be handled by using fuzzy logic. In this paper, we propose multivariate fuzzy decision tree learning and classification method for a hand motion recognition system for multiple users. When a user starts to use the system, the most appropriate recognition model is selected and used for the user.

Design of digital clock level translator with 50% duty ratio from small sinusoidal input (작은 정현파입력의 50% Duty Ratio 디지털 클럭레벨 변환기 설계)

  • Park, Mun-Yang;Lee, Jong-Ryul;Kim, Ook;Song, Won-Chul;Kim, Kyung-Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.23 no.8
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    • pp.2064-2071
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    • 1998
  • A new digital clock level translator has been designed in order to produce a clock source of the internal logic circuits. The translator output has 50% duty ratio from small sinusoidal input such as TCXO which oscillates itself in poratable components. The circuit consists of positive and negative comparators, RS latch, charge pump, and reference vol- tage generator. It detects pulse width of the output waveform and feedbacks the control signal to the input com-parator. It detects pulse width of the output waveform and feedbacks the control signal to the input com-parator reference, producing output waveform with valid 50% duty ratio of the digital signal level. The designed level translator can be used as a sampling clock source of ADC, PLL and the colck source of the clock synthesizer. The circuit wasdesigned in a 0.8.mu.m analog CMOS technology with double metal, double poly, and BSIM3 circuit simulation model. From our experimental results, a stable operating characteristics of 50 +3% duty ratio was obtained from the sinusoidal input wave of 370 mV.

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Systematic Generation of PLC-based Design from Formal Software Requirements (정형 소프트웨어 요구사항으로부터 PLC 디자인의 체계적 생성)

  • Yoo Junbeom;Cha Sungdeok;Kim Chang Hui;Song Deokyong
    • Journal of KIISE:Software and Applications
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    • v.32 no.2
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    • pp.108-118
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    • 2005
  • The software of the nuclear power plant digital control system is a safety-critical system where many techniques must be applied to it in order to preserve safety in the whole system. Formal specifications especially allow the system to be clearly and completely specified in the early requirements specification phase, therefore making it a trusted method for increasing safety. In this paper, we discuss a systematic method, which generates PLC-based FBD programs from the requirements specification using NuSCR, a formal requirements specification method. This FBD programs takes an important position in design specification. The proposed method can reduce the possible errors occur in the manual design specification, and the software development cost and time. To investigate the usefulness of our proposed method, we introduce the fixed set-point rising trip example, a trip logic of BP in DPPS RPS, which is presently being developed at KNICS.

A Fuzzy Back-EMF Observer for Sensorless Drive of BLDC Motor (브러시리스 전동기의 센서리스 구동을 위한 퍼지 역기전력 관측기)

  • Park, Byoung-Gun;Kim, Tae-Sung;Ryu, Ji-Su;Hyun, Dong-Seok
    • The Transactions of the Korean Institute of Power Electronics
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    • v.12 no.2
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    • pp.157-164
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    • 2007
  • In this paper, a novel sensorless drive for brushless DC (BLDC) motor using the fuzzy back-EMF observer is proposed to improve the performance of conventional sensorless drive methods. Existing sensorless drive methods of the BLDC motor have low performance at transients or low speed range and occasionally require additional circuits. To cope with these problems, the back-EMF of the BLDC motor must be precisely estimated by a fuzzy logic, which is suitable to estimate the back-EMF which has a trapezoidal shape. The proposed algorithm using fuzzy back-EMF observer can achieve robust control for the change of an external condition and continuously estimate position of the rotor at transients as well as at steady state. The superiority of the proposed algorithm is proved through the simulation compared with other sensorless drive methods.

Collision between Technology and Politics in Korea's Nuclear Policy (한국의 원자력정책을 둘러싼 기술과 정치의 충돌)

  • Hong Jung-Jin;Won Byung-Chul
    • Journal of Science and Technology Studies
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    • v.2 no.1 s.3
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    • pp.135-156
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    • 2002
  • The view of technology is largely divided into 2 theories: (1) the theory of autonomous technology that claims technology's own development logic and momentum, (2) the theory of social determinism that regards technology as reflection of political choices. Autonomous technologists read our society in the language of technology and social determinists read our technology in the language of society. This paper tries to analyze that conflicts between government and environmental group in nuclear policy, especially radioactive waste disposition policy reflect collisions between autonomous technologists and social determinists representing technology and politics, respectively. On the surface, such collisions are occurred in rational, ethical and economical aspects. It maintains, however, in depth, they are about solution means to problems from which technologies derived. Also, it suggests that one of the alternatives to avoid inevitable collision may be interaction approach based on intertwining technology with society. More understanding of political natures and control possibilities for technology is needed because interaction approach is founded on this understanding. Finally, to help forming the Korea's nuclear utilization policy from now on, it gives 2 case studies compared France with Germany where expanding and contracting nuclear utilization policy, respectively.

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Modeling of Boiler Steam System in a Thermal Power Plant Based on Generalized Regression Neural Network (GRNN 알고리즘을 이용한 화력발전소 보일러 증기계통의 모델링에 관한 연구)

  • Lee, Soon-Young;Lee, Jung-Hoon
    • Journal of IKEEE
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    • v.26 no.3
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    • pp.349-354
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    • 2022
  • In thermal power plants, boiler models have been used widely in evaluating logic configurations, performing system tuning and applying control theory, etc. Furthermore, proper plant models are needed to design the accurate controllers. Sometimes, mathematical models can not exactly describe a power plant due to time varying, nonlinearity, uncertainties and complexity of the thermal power plants. In this case, a neural network can be a useful method to estimate such systems. In this paper, the models of boiler steam system in a thermal power plant are developed by using a generalized regression neural network(GRNN). The models of the superheater, reheater, attemperator and drum are designed by using GRNN and the models are trained and validate with the real data obtained in 540[MW] power plant. The validation results showed that proposed models agree with actual outputs of the drum boiler well.

System Model-driven Conversion from PLC-based Systems to RTOS-based Systems (시스템 모델을 통한 PLC 기반 시스템의 RTOS 기반 시스템으로의 변환)

  • Kim, Je-Wung;Lim, Sung-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.14 no.3
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    • pp.13-26
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    • 2009
  • In this raper, We propose the alternative solution, RTOS-based system to replace the PLC 4hat has used the automation system for industrial processes. RTOS-based system is constructed the PC and RTOS as hardware and software. It overcomes the limit of PLC and guarantees the stability and reliability. Also, PC has better performance and cheaper than PLC when operating and constructing the system. For many manufactures, these benefits alone are all the reason they need to switch from PLC-based system to RTOS-based system. To use the RTOS-based System, the PLC program needs the conversion to the RTOS task. And how to transform is the most important issue. So, we propose conversion method through the system model. The system model defines the operation of each module as the task after the system divided into module. Because the system divided into modules can control, the performance and the functionality of system improve, and the system can deal with a problem easily when repairing and changing.

Construction and basic performance test of an ICT-based irrigation monitoring system for rice cultivation in UAE desert soil

  • Mohammod, Ali;Md Nasim, Reza;Shafik, Kiraga;Md Nafiul, Islam;Milon, Chowdhury;Jae-Hyeok, Jeong;Sun-Ok, Chung
    • Korean Journal of Agricultural Science
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    • v.48 no.4
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    • pp.703-718
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    • 2021
  • An irrigation monitoring system is an efficient approach to save water and to provide effective irrigation scheduling for rice cultivation in desert soils. This research aimed to design, fabricate, and evaluate the basic performance of an irrigation monitoring system based on information and communication technology (ICT) for rice cultivation under drip and micro-sprinkler irrigation in desert soils using a Raspberry Pi. A data acquisition system was installed and tested inside a rice cultivating net house at the United Arab Emirates University, Al-Foah, Al-Ain. The Raspberry Pi operating system was used to control the irrigation and to monitor the soil water content, ambient temperature, humidity, and light intensity inside the net house. Soil water content sensors were placed in the desert soil at depths of 10, 20, 30, 40, and 50 cm. A sensor-based automatic irrigation logic circuit was used to control the actuators and to manage the crop irrigation operations depending on the soil water content requirements. A developed webserver was used to store the sensor data and update the actuator status by communicating via the Pi-embedded Wi-Fi network. The maximum and minimum average soil water contents, ambient temperatures, humidity levels, and light intensity values were monitored as 33.91 ± 2 to 26.95 ± 1%, 45 ± 3 to 24 ± 3℃, 58 ± 2 to 50 ± 4%, and 7160-90 lx, respectively, during the experimental period. The ICT-based monitoring system ensured precise irrigation scheduling and better performance to provide an adequate water supply and information about the ambient environment.

Design of a High-Speed Data Packet Allocation Circuit for Network-on-Chip (NoC 용 고속 데이터 패킷 할당 회로 설계)

  • Kim, Jeonghyun;Lee, Jaesung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2022.10a
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    • pp.459-461
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    • 2022
  • One of the big differences between Network-on-Chip (NoC) and the existing parallel processing system based on an off-chip network is that data packet routing is performed using a centralized control scheme. In such an environment, the best-effort packet routing problem becomes a real-time assignment problem in which data packet arriving time and processing time is the cost. In this paper, the Hungarian algorithm, a representative computational complexity reduction algorithm for the linear algebraic equation of the allocation problem, is implemented in the form of a hardware accelerator. As a result of logic synthesis using the TSMC 0.18um standard cell library, the area of the circuit designed through case analysis for the cost distribution is reduced by about 16% and the propagation delay of it is reduced by about 52%, compared to the circuit implementing the original operation sequence of the Hungarian algorithm.

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