• Title/Summary/Keyword: Input and Output Parameters

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Experimental Data based-Parameter Estimation and Control for Container Crane (실험적 데이터 기반의 컨테이너 크레인 파라미터 추정 및 제어)

  • Lee, Yun-Hyung;Jin, Gang-Gyoo;So, Myung-Ok
    • Journal of Navigation and Port Research
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    • v.32 no.5
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    • pp.379-385
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    • 2008
  • In this paper, we presents a scheme for the parameter estimation and optimal control scheme for apparatus of container crane system. For parameter estimation, first, we construct the open loop of the container crane system and estimate its parameters based on input-output data, a real-coded genetic algorithm(RCGA) and the model adjustment technique. The RCGA plays an important role in parameter estimation as an adaptive mechanism. For controller design, state feedback gain matrix is searched by another RCGA and the estimated model. The performance of the proposed methods are demonstrated through a set of simulation and experiments of the experimental apparatus.

Neuro-Fuzzy Modeling based on Self-Organizing Clustering (자기구성 클러스터링 기반 뉴로-퍼지 모델링)

  • Kim Sung-Suk;Ryu Jeong-Woong;Kim Yong-Tae
    • Journal of the Korean Institute of Intelligent Systems
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    • v.15 no.6
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    • pp.688-694
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    • 2005
  • In this Paper, we Propose a new neuro-fuzzy modeling using clustering-based learning method. In the proposed clustering method, number of clusters is automatically inferred and its parameters are optimized simultaneously, Also, a neuro-fuzzy model is learned based on clustering information at same time. In the previous modelling method, clustering and model learning are performed independently and have no exchange of its informations. However, in the proposed method, overall neuro-fuzzy model is generated by using both clustering and model learning, and the information of modelling output is used to clustering of input. The proposed method improve the computational load of modeling using Subtractive clustering method. Simulation results show that the proposed method has an effectiveness compared with the previous methods.

Optimized Design and Manufacture of Wideband Pulsed Gamma-ray Sensors (광대역 펄스감마선 탐지센서 최적화 설계 및 제작)

  • Jeong, Sang-hun;Lee, Nam-ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.21 no.1
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    • pp.223-228
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    • 2017
  • In this paper, we are proposing an optimal design of wideband pulsed type gamma-ray sensors. These sensors were manufactured based on the design results and after word electrical properties were analyzed. The sensor input parameters were derived on the basis of pulsed gamma-ray spectrum and time-dependent energy rate, and the output current which were derived on the basis of the sensor sensitivity control circuit. Pulsed gamma-ray sensors were designed using the TCAD simulators. The design results show that the optimal Epi layer thickness is 45um with the applied voltage 3.3V and the diameter is 2.0mm. The doping concentrations are as follows : N-type is an Arsenic as $1{\times}10^{19}/cm^3$, P-type is a Boron as $1{\times}10^{19}/cm^3$ and Epi layer is Phosphorus as $3.4{\times}10^{12}/cm^3$. The fabricated sensor was a leakage current, 12pA at voltage -3.3V and fully depleted mode at voltage -5V. A test result of pulsed radiation shows that the sensor gives out the optimal photocurrent.

Sensitivity analysis of design parameters influencing earth pressure acting on an arch-shaped cut and cover tunnel (아치형 복개 터널구조물에 발생하는 토압에 영향을 미치는 설계변수들에 대한 민감도 분석)

  • Bae, Gyu-Jin;Chung, Hyung-Sik;Lee, Gyu-Phil
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.6 no.2
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    • pp.113-128
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    • 2004
  • To investigate major influencing factors on earth pressure acting on an arch-shaped cut and cover tunnel, Monte Carlo simulation based quantitative sensitivity analysis was carried out for mechanical properties of ground as well as excavation configuration-related design factors. From the sensitivity analysis, it was intended that effects of earth pressures from different influencing factors on a cut and cover tunnel should be numerically identified. Output factors used in the sensitivity analysis such as vertical and horizontal earth pressures at different tunnel positions were obtained from the finite element analysis. In this study, it was revealed that depending upon positions where horizontal as well as vertical earth pressures were acting, they were differently influenced by the same input factors. In addition, earth pressures acting an cut and cover tunnel depended mainly on the embankment at crown and the inclination of cut slope.

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Predicting the Greenhouse Air Humidity Using Artificial Neural Network Model Based on Principal Components Analysis (PCA에 기반을 둔 인공신경회로망을 이용한 온실의 습도 예측)

  • Owolabi, Abdulhameed B.;Lee, Jong W;Jayasekara, Shanika N.;Lee, Hyun W.
    • Journal of The Korean Society of Agricultural Engineers
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    • v.59 no.5
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    • pp.93-99
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    • 2017
  • A model was developed using Artificial Neural Networks (ANNs) based on Principal Component Analysis (PCA), to accurately predict the air humidity inside an experimental greenhouse located in Daegu (latitude $35.53^{\circ}N$, longitude $128.36^{\circ}E$, and altitude 48 m), South Korea. The weather parameters, air temperature, relative humidity, solar radiation, and carbon dioxide inside and outside the greenhouse were monitored and measured by mounted sensors. Through the PCA of the data samples, three main components were used as the input data, and the measured inside humidity was used as the output data for the ALYUDA forecaster software of the ANN model. The Nash-Sutcliff Model Efficiency Coefficient (NSE) was used to analyze the difference between the experimental and the simulated results, in order to determine the predictive power of the ANN software. The results obtained revealed the variables that affect the inside air humidity through a sensitivity analysis graph. The measured humidity agreed well with the predicted humidity, which signifies that the model has a very high accuracy and can be used for predictions based on the computed $R^2$ and NSE values for the training and validation samples.

Removal of Rhodamine B Dye Using a Water Plasma Process (수중 플라즈마 공정을 이용한 Rhodamine B 염료의 제거)

  • Kim, Dong-Seog;Park, Young-Seek
    • Journal of Environmental Health Sciences
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    • v.37 no.3
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    • pp.218-225
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    • 2011
  • Objectives: In this paper, a dielectric barrier discharge (DBD) plasma reactor was investigated for degrading the dye Rhodamine B (RhB) in aqueous solutions. Methods: The DBD plasma reactor system in this study consisted of a plasma component [titanium discharge (inner), ground (outer) electrode and quartz dielectric tube], power source, and gas supply. The effects of various parameters such as first voltage (input power), gas flow rate, second voltage (output power), conductivity and pH were investigated. Results: Experimental results showed that a 99% aqueous solution of 20 mg/l Rhodamine B is decolorized following an eleven minute plasma treatment. When comparing the performance of electrolysis and plasma treatment, the RhB degradation of the plasma process was higher that of the electrolysis. The optimum first voltage and air flow rate were 160 V (voltage of trans is 15 kV) and 3 l/min, respectively. With increased second voltage (4 kV to 15 kV), RhB degradation was increased. The higher the pH and the lower conductivity, the more Rhodamine B degradation was observed. Conclusions: OH radical generation of dielectric plasma process was identified by degradation of N, N-dimethyl-4-nitrosoaniline (RNO, indicator of OH radical generation). It was observed that the effect of UV light, which was generated as streamer discharge, on Rhodamine B degradation was not high. Rhodamine B removal was influenced by real second voltage regardless of initial first and second voltage. The effects of pH and conductivity were not high on the Rhodamine B degradation.

Design of Ultra Wide Band MMIC Digital Attenuator with High Attenuation Accuracy (높은 감쇠 정확도를 가지는 초광대역 MMIC 디지털 감쇠기 설계)

  • Ju Inkwon;Yom In-Bok
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.17 no.2 s.105
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    • pp.101-109
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    • 2006
  • A broadband, DC to 40 GHz 5-bit MMIC digital attenuator has been developed. The ultra broadband attenuator has been achieved by adding transmission lines in the conventional Switched-T attenuator and optimizing the transmission line parameters. Momentum simulation was performed in design for accurate performance prediction at high frequencies and Monte Carlo analysis was applied to verify the performance stability against the MMIC process variation. The attenuator has been fabricated with $0.15\;{\mu}m$ GaAs pHEMT process. This attenuator has 1 dB resolution and 23 dB dynamic ranges. High attenuation accuracy has been achieved over all attenuation ranges and 40 GHz bandwidth with the reference state insertion loss of less than 6 dB at 20 GHz. The input and output return losses of the attenuator are better than 14 dB over all attenuation states and frequencies. The measured IIP3 of the attenuator is 33 dBm.

Parameter Estimation and Control for Apparatus of Container Crane;An Experimental Approach (모형 컨테이너 크레인의 파라미터 추정 및 제어;실험적 접근)

  • Lee, Yun-Hyung;Jin, Gang-Gyoo;So, Myung-Ok
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2007.12a
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    • pp.304-306
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    • 2007
  • In this paper, we presents a scheme for the parameter estimation and optimal control scheme for apparatus of container crane system. For parameter estimation, first, we construct the open loop of the container crane system and estimate its parameters based on input-output data, a real-coded genetic algorithm(RCGA) and the model adjustment technique. The RCGA plays an important role in parameter estimation as an adaptive mechanism. For controller design, state feedback gain matrix is searched by another RCGA and the estimated model. The performance of the proposed methods are demonstrated through a set of simulation and experiments of the experimental apparatus.

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Genie: A Semantic Web Services Composition System base on Ontology (Genie: 온톨로지 기반 시맨틱 웹 서비스 합성 시스템)

  • 오지훈;시대근;정영식;한성국
    • Journal of KIISE:Computing Practices and Letters
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    • v.10 no.5
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    • pp.394-405
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    • 2004
  • To make Web Services the real applications, the efficient mechanisms for Web Services discovery, Web Services composition and Web Services execution must be provided. Among these issues, especially, Web Services composition plays the key roles in Web Services applications that are loosely coupled and composed applications consisted of primitive Web Service components. In this paper we demonstrate a new Web Service composition approach using ontologies. We apply ontologies to describe Web Services information such as Web Services input/output parameters, pre conditions, post conditions and other necessary management information. In this paper, we also introduce Action ontology and Object ontology to describe the functional properties of Web Services These ontologies offer semantic description of Web Services functionalities beyond the limitation of the current WSDL. We can achieve semantic interoperabilities between heterogeneous Web Services in terms of conceptual processing and realize semantic services composition. We implement semantic Web Services composition system called Genie based on service description ontologies.

Acoustic Field Analysis of a Combustor-nozzle System with a Premixing Chamber (예혼합실을 갖는 연소-노즐 시스템의 음향장 해석)

  • Yoon, Myunggon;Kim, Jina;Kim, Daesik
    • Journal of the Korean Society of Propulsion Engineers
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    • v.21 no.5
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    • pp.46-53
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    • 2017
  • This paper deals with an acoustic model for a lean premixed gas turbine combustor composed of three stages: premixing chamber, nozzle and flame tube. Our model is given as an acoustic transfer function whose input is a heat release rate perturbation and output is a velocity perturbation at a flame location. We have shown that the resonance frequencies are functions of three round-trip frequencies of acoustic wave in each stage, and area ratios between stages. By analyzing poles of the acoustic transfer function, we could characterize resonant frequencies and their dependency on various system parameters of a combustor. It was found that our analytic findings match with existing numerical and experimental results in literature.