• 전자공학회논문지SC
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• 제42권5호
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• pp.13-18
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• 2005

최근 수 년 동안 이족보행 로봇 제어는 로봇 분야에서 각광을 받는 분야인 한편, 어려운 분야이기도 하다. 본 논문에서는 이족보행 로봇을 위한 적응 퍼지 논리를 이용한 새로운 강인한 제어 방법을 제안한다. 적응 퍼지 논리는 알려지지 않은 불확실성을 제거하기 위한 시스템 추정기로 사용된다. 우선 발바꿈과 불확실성, 외란 등의 영향을 포함한 로봇 모델을 제안한다. 다음, 관절의 속도 측정을 하지 않는 제어기를 설계한다. 퍼지 논리를 튜닝하기 위하여 퍼지 추정 오차 관측기를 시스템에 포함시켰다. 마지막으로 제어방법의 타당성을 보이기 위하여 시뮬레이션 결과를 보여준다.

• Journal of Power Electronics
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• 제10권5호
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• pp.498-504
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• 2010

The output power fluctuations of renewable energy power plants such as wind turbine generators and photovoltaic systems result in frequency deviations and terminal voltage fluctuations. Furthermore, these power fluctuations also affect the turbine shaftings of diesel generators and gas-turbine generators which are the main power generation systems on isolated islands. Therefore, it is important to achieve torsional torque suppression. Since the measurement of torsional torque is technically difficult, and there is an uncertainty in the mechanical constants of the shaft torsional system. This paper presents an estimation system that estimates torsional torque by using a developed $H_{\infty}$ observer. In addition to the above functions, the proposed shaft torque observer incorporates a parameter identification system that aims to improve the estimation accuracy. The simulation results validate the effectiveness of the proposed $H_{\infty}$ observer and the parameter identification.

• Current Research on Agriculture and Life Sciences
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• 제31권2호
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• pp.113-123
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• 2013

The carbon-offset mechanism based on forest management has been recognized as a meaningful tool to sequestrate carbons already existing in the atmosphere. Thus, with an emphasis on the forest-originated carbon-offset mechanism, the accurate measurement of the carbon stock in forests has become important, as carbon credits should be issued proportionally with forest carbon stocks. Various remote sensing techniques have already been developed for measuring forest carbon stocks. Yet, despite the efficiency of remote sensing techniques, the final accuracy of their carbon stock estimations is disputable. Therefore, minimizing the uncertainty embedded in the application of remote sensing techniques is important to prevent questions over the carbon stock evaluation for issuing carbon credits. Accordingly, this study reviews the overall procedures of carbon stock evaluation-related remote sensing techniques and identifies the problematic technical issues when measuring the carbon stock. The procedures are sub-divided into four stages: the characteristics of the remote sensing sensor, data preparation, data analysis, and evaluation. Depending on the choice of technique, there are many disputable issues in each stage, resulting in quite different results for the final carbon stock evaluation. Thus, the establishment of detailed standards for each stageis urgently needed. From a policy-making perspective, the top priority should be given to establishinga standard sampling technique and enhancing the statistical analysis tools.

• 자원ㆍ환경경제연구
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• 제15권5호
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• pp.921-937
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• 2006

본 연구는 이산선택 조건부가치측정법에 내재되어 있는 응답자의 선호의 불확실성 문제를 퍼지이론을 통해 해결하려 한 것으로, 멸종위기에 처해 있는 한국산 토종반달곰의 보존에 대한 지불의사액을 추정하는 분석과정에 퍼지소속도 함수를 적용하였다. 퍼지소속도 이론은 애매모호한 상황의 불명확성을 추정하는 방법론으로, 이를 조건부가치측정법에 적용하면 해당 환경재에 대한 지불의사액과 응답자들의 진술에 대한 확신도를 동시에 도출해낼 수 있다. 본 연구를 위해 우리나라 7대 광역시에 거주하는 성인남녀 500명을 대상으로 설문조사를 시행하였으며 양분선택형 조건부가치측정법이 사용되었다. 한국산 토종반달곰 보존에 대한 지불의사액은 가구당 월 9,090원으로 계산되었으며 퍼지소속도함수로 계산된 응답의 확신도는 78%인 것으로 추정되었다.

• 한국대기환경학회지
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• 제22권6호
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• pp.922-928
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• 2006

An absolute absorption cross section of benzene was measured with a spectrometer system including a mono-chrometer and a grating in the wavelength region of $240{\sim}280nm$ under the atmospheric pressure and room temperature in the laboratory. A certificated reference benzene gas ($98{\mu}mol/mol$ in $N_2$) was used to measure its absorption cross section. A 710 mm cell with a quartz window and a 150 W Xe arc lamp were employed. The magnitude of absorption cross section of $1.41{\times}10^{-18}cm^2$ was lower than that of the reference spectra ($2.5{\times}10^{-18}cm^2$) of high resolution spectrometer, Total measurement uncertainty was estimated to be 4.0%.

• 대한간호학회지
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• 제42권7호
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• pp.1009-1018
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• 2012

Purpose: This study was done to evaluate effectiveness of home healthcare services (HHCS) specialized for elders who received spinal surgeries. Methods: A non-equivalent control group pre-post test quasi-experimental study was performed. HHCS was developed based on the Rice model of dynamic self-determination for self-care. For data collection, a control group (n=23) and an experimental group (n=23) were selected by matching age, BMI, pain, general characteristics and type of spine surgery. Measurement tools to evaluate uncertainty and knowledge were developed by the authors. The Numeric Rating Scale (NRS) and Japanese Orthopedic Association Back Pain Evaluation Questionnaire (JOABPEQ) were used to evaluate pain levels. Muscular strength in the legs was measured using a digital muscle tester and tape ruler. Questionnaires were used to evaluate disability in performing ADL and psychological distress levels. Results: The experimental group showed significant decrease in uncertainty (p=.028), increased knowledge (p=.038), and partially decreased pain (p=.003-.331). Partial muscle strength increased significantly (p=.021-.644). Disability in performing ADL and psychological distress in the experimental group decreased significantly compared to control group (p=.002, p=.004). Conclusion: Results indicate HHCS is an efficient home care nursing program for these elders. Further experimental studies with larger samples are required to confirm effects of HHCS.

• 한국전자파학회논문지
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• 제16권1호
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• pp.26-32
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• 2005

개방단말 동축선 프로브는 넓은 주파수 대역에서 매질의 복소 유전율을 측정하는데 사용된다. 기준매질과 측정매질의 반사계수의 차이가 작은 경우에는, 기존의 동축선 프로브로 측정된 복소 유전율은 계측기의 불확정도(uncertainty)에 의해 심한 동요를 보인다. 본 논문에서는 기준매질과 측정매질의 반사계수 차이를 증가시키기 위하여 내심이 돌출된 개방단말 동축선 프로브를 제안하였다. 내심이 돌출된 개방단말 동축선 프로브의 타당성은 FDTD 수치해석과 실제 측정을 통해 확인하였다.

• 한국인터넷방송통신학회논문지
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• 제14권2호
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• pp.107-113
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• 2014

러프집합에서 식별불능의 관계와 근사공간의 개념을 이용해서 의사결정표로부터 최적화된 정보를 유도하게 된다. 그러나 일반적으로 결정표에서 데이터의 중복이나 비일관성은 피할 수 없기 때문에 속성의 중요성은 지식의 감축에서 매우 중요한 개념이다. 속성의 중요성에 대한 대수학적인 정의는 도메인중의 완전한 부분집합에 대한 해당 속성이 주는 영향을 고려하는 것이고, 정보이론적인 정의는 도메인 중의 불완전한 부분집합에 대한 해당 속성이 주는 영향을 고려하는 것이다. 따라서 속성 중요성은 정보이론적인 관점의 정의와 대수학인 관점의 정의가 분명하게 차이가 있다. 본 논문에서는 정보시스템의 조건속성과 결정속성에 포함될 수 있는 정보를 최적화하기 위한 정보이론적인 척도로써 러프집합을 이용한 조건부 정보엔트로피를 제안하고 그 효용성을 보인다.

• Journal of Mechanical Science and Technology
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• 제20권7호
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• pp.961-971
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• 2006

A deadweight force standard machine is a mechanical structure that generates force by subjecting deadweights to the local gravitational field. The Korea Research Institute of Standards and Science (KRISS) developed and installed a 100 kN deadweight force standard machine for national force standards. It can generate forces from 2 kN to 110 kN in increments of 1 kN. The uncertainty of the force machine was estimated and declared as $2\times10^{-5}$. This 100 kN deadweight force machine was compared with the 500 kN deadweight force standard machine at KRISS and the 20 kN and 50 kN deadweight force standard machines at the National Metrology Institute of Japan (NMIJ). The measurement results showed good agreement between the deadweight force machines, and the accuracy level of the 100 kN deadweight force machine was verified.

• Steel and Composite Structures
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• 제20권6호
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• pp.1345-1368
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• 2016

This paper presents the probabilistic-based assessment of composite steel-concrete structures through an innovative framework. This framework combines model identification and reliability assessment procedures. The paper starts by describing current structural assessment algorithms and the most relevant uncertainty sources. The developed model identification algorithm is then presented. During this procedure, the model parameters are automatically adjusted, so that the numerical results best fit the experimental data. Modelling and measurement errors are respectively incorporated in this algorithm. The reliability assessment procedure aims to assess the structure performance, considering randomness in model parameters. Since monitoring and characterization tests are common measures to control and acquire information about those parameters, a Bayesian inference procedure is incorporated to update the reliability assessment. The framework is then tested with a set of composite steel-concrete beams, which behavior is complex. The experimental tests, as well as the developed numerical model and the obtained results from the proposed framework, are respectively present.