• 대한기계학회논문집B
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• 제40권10호
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• pp.653-658
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• 2016

본 연구에서는 비정상 열전도 역산문제의 해석이 가능한 프로그램을 이용하여 온도측정의 시간간격, 측정위치가 분무냉각 열유속의 측정결과에 미치는 영향에 대한 연구를 수행하였다. 그 결과 다음과 같은 결론을 얻을 수 있었다. CHF 부근에서는 온도측정의 시간간격이 커질수록 비정상 열전도 역산법을 이용하여 계산한 열유속은 점차 감소하고 있음을 알 수 있었다. CHF 부근에서는 열유속이 매우 빠르게 변화하기 때문에 시간간격을 일정 값 이하로 작게 측정하여 열유속을 계산하는 것이 매우 중요할 것으로 판단된다. 온도측정위치는 비정상 열전도 역산법을 이용한 CHF 부근의 계산결과에 큰 영향을 미치지 않는 것으로 파악되었다. 실험결과로부터 CHF 과열도는 열전대의 측정위치가 전열면 표면에 가까울수록 약간 고온으로 이동하는 경향이 있음을 알 수 있었다.

• 한국통신학회논문지
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• 제39C권6호
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• pp.482-489
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• 2014

본 논문은 IEEE 802.11 환경에서 새로운 AP를 탐색하기 위한 네트워크 스캐닝의 기존 방식을 802.11k의 Measurement Pilot을 활용하여 개선하는 새로운 알고리즘을 제안한다. 그리고 제안한 알고리즘과 종래의 알고리즘을 시뮬레이션 환경에서 비교하여 분석한다. 일반적인 IEEE 802.11을 사용하는 기기들은 탐색 시간이 짧다는 장점을 갖는 능동 탐색(Active Scan)방식을 활용한다. 하지만 이 방식은 수동 탐색(Passive Scan) 방식에 비해 많은 전력사용을 필요로 한다. 본 논문에서 제안하는 탐색 알고리즘은 IEEE 802.11k에서 활용되는 비컨(Beacon)보다 짧은 주기를 갖는 Measurement Pilot을 활용하여 수동 탐색과 능동 탐색의 장점을 취합하여 전력사용을 줄인다.

• Membrane and Water Treatment
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• 제10권1호
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• pp.99-104
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• 2019

In Korea, nonpoint pollutants have a significant effect on rivers' water quality, and they are discharged in very different ways depending on rainfall events. Therefore, preparing an optimal countermeasure against nonpoint pollutants requires much monitoring. The present study was conducted to help prepare a method for installing an automatic nonpoint pollutant measurement system for the cost-effective monitoring of the effect of nonpoint pollutants on rivers. In the present study, monitoring was performed at six sites of a river passing through an urban area with a basin area of $454.3km^2$. The results showed that monitoring could be performed for a relatively long time interval in the upstream and downstream regions, which are mainly comprised of forests, regardless of the rainfall amount. On the contrary, in the urban region, the monitoring had to be performed at a relatively short time interval each time when the rainfall intensity changed. This was because the flow rate was significantly dependent on the rainfall's intensity. The appropriate sites for installing an automatic measurement system were found to be a site before entering the urban region, a site after passing through the urban region, and the end of a river where the effects of nonpoint pollutant sources can be well-decided. The analysis also showed that the monitoring time should be longer for the rainfall events of a higher rainfall class and for the sites closer to the river end. This is because the rainfall runoff has a longer effect on the river. However, the effect of nonpoint pollutant sources was not significantly different between the upstream and the downstream in the cases of rainfall events over 100 mm.

• 한국경영공학회지
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• 제23권4호
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• pp.87-103
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• 2018

This paper introduces the method to develop two main types of the fuzzy OEE (Overall Equipment Effectiveness) models via triangular membership function for measuring uncertainty. The fuzzy OEE includes model type 1 and model type 2. The model type 1 is used when the theoretical machine speed only reflects the time loss whereas model type 2 is used when the actual machine speed reflects both time and speed loss. Model type 2 has shown to perform a lower availability rate and a higher performance rate compared to model type 1. In addition, the fuzzy UPH (Unit Per Hour) which is derived from using the fuzzy OEE is presented to satisfy demand uncertainty. The fuzzy UPH can easily measure the fuzzy tact time and cycle time by reciprocating itself. Finally, this study demonstrates the fuzzy OEE models using IVIFS (Interval-Valued Intuitionistic Fuzzy Set) based on the characterization via membership function, non-membership function and hesitant function. For the purpose of analyzing the fuzzy system OEE, the OEE for each machine of plant structure is considered triangular interval-valued intuitionistic fuzzy number. Regardless of plant structure, the validity degree of fuzzy membership function of system OEE decreases when the number of machine with worst value of the validity degree increases. Corresponding examples are presented in this paper for practitioner to understand the applicability and practicability of the proposed fuzzy OEE methods.

• 대한전기학회논문지:시스템및제어부문D
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• 제55권7호
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• pp.335-343
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• 2006

We have designed the system that measure one channel ECG by two electrode and extract real-time EDR with more related resipiration and comportable to subject by using conductive textile. On the assumption that relation between RL electrode and potential measurement electrode is coupled with RC connected model, we designed RL drive output to feedback two electrode for reduction of common mode signal. The conductive textile which was used for two ECG electrode was offered more comfort during night sleep in bed than any other method using attachments. In the method of single-lead EDR, R wave point or QRS interval area could be used for EDR estimation in traditional method, it is, so to speak, the amplitude modulation(AM) method for EDR. Alternatively, R-R interval could be used for frequency modulation(FM) method based on Respiratory Sinus Arrhythmia(RSA). For evaluation of performance on AM EDR and FM EDR from 14 subject, ECG lead III was measured. Each EDR was compared with both temperature around nose(direct measurement of respiration) and respiration signal from thoracic belt(indirect measurement of respiration) on mean squared error(MSE), cross correlation(Xcorr), and Coherence. The upsampling interpolation technique of multirate signal processing is applied to interpolating data instead of cubic spline interpolation. As a result, we showed the real-time EDR extraction processing to be implemented at micro-controller.

• 설비공학논문집
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• 제13권1호
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• pp.30-37
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• 2001

The purpose of this study is to present the method to determine the optimal stop time of HVAC using Artificial Neural Network model, one of the learning methods. For this, the performance of determining the stop time of HVAC for unexperienced learning data was evaluated, and time interval for measurement of input data and permissible error needed for practical application of ANN model were presented using the results of daily simulation.

• International Journal of Air-Conditioning and Refrigeration
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• 제13권1호
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• pp.22-30
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• 2005

The purpose of this study is to present a method to determine the optimal stop time of HVAC using the Artificial Neural Network model, which is one of the learning methods. For this, the performance of determining the stop time of HVAC for unexperienced learning data was evaluated, and time interval for measurement of input data and permissible error needed for practical application of ANN model were presented using the results from daily simulation.

• Journal of Advanced Marine Engineering and Technology
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• 제33권8호
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• pp.1152-1161
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• 2009

신조선 선박에서 시운전 중 주 추진 시스템의 동력을 측정하는 방법은 스트레인 게이지를 이용하여 축의 변형률로부터 얻어지는 직접적인 방법과 기계적인 또는 전기적인 픽업을 이용하여 계측한 실린더연소압력으로부터 환산된 면적에 의한 간접적인 방법으로 구분할 수 있다. 이러한 동력은 장주기로 선박의 여러 가지 해상 운동에 의해서 그리고 단주기로는 축계의 비틀림, 축계 배치 및 횡진동의 영향에 의해서 변동한다. 본 논문에서는 축동력측정과 평가를 위하여 통계적인 해석법을 소개하고 있고, 저속2행정디젤엔진과 감속기를 포함 중속 4행정 디젤엔진 모델에 의해서 이들이 확인되고 있다.

• Journal of Astronomy and Space Sciences
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• 제26권4호
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• pp.529-546
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• 2009

인공위성 광학 감시 시스템 적용에 가장 효과적인 고전적 예비궤도 결정법은 Gauss와 Laplace 방법이 있다. 이 두 방법은 세 쌍의 광학 관측 자료를 이용하여 위성의 궤도를 결정하는 방법으로 관측 시간간격에 따라 정밀도가 변화하는 특성이 있다. 이번 연구에서는 이러한 특성에 관련된 국내의 기존 연구 결과들에서 일부 상이한 점을 발견하여, 세 점의 시간간격에 대한 정밀도 변화 특성을 재검토해 보았다. 이러한 특성 연구는 다양한 위성 궤도 형태를 고려해야 하기 때문에 궤도 정보가 알려진 위성 전체를 대상으로 하였다. SGP4/SDP4 궤도전파 모델을 이용한 모의 관측 자료를 사용하여 방법론적인 정밀도 특성 을 확인하였고, 특정 위성의 실제 관측 자료를 사용 하여 인공위성 광학 감시 시스템에 적용할 시에 발생되는 특성을 확인하였다. 결과적으로, 세 점의 시간간격에 대한 최기궤도 결정의 정밀도 변화 특성은 관측된 위성의 위치로 인해 달라질 수 있음을 확인하였다.

• 한국섬유공학회:학술대회논문집
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• 한국섬유공학회 2003년도 The Korea-Japan Joint Symposium
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• pp.45-46
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• 2003

A process control system has been developed for measurement and characterization of the nanofiber web qualities. The nano-fiber information system (NAFIS) developed consists of a measurement device and an analysis algorithm, which are a microscope-laser sensor fusion system and a process information system, respectively. It has been found that NAFIS is so successful in detecting irregularities of pore and diameter that the resulting product has been quitely under control even at the high production rate. Pore distribution, fiber diameter and mass uniformity have been readily measured and analyzed by integrating the non-contact measurement technology and the random function-based time domain signal/image processing algorithm. Qualifies of the nano-fiber webs have been revealed in a way that the statistical parameters for the characteristics above are calculated and stored in a certain interval along with the time-specific information. Quality matrix, scale of homogeneity is easily obtained through the easy-to-use GUI information. Finally, ANFIS has been evaluated both for the real-time measurement and analysis, and for the process monitoring.