• 대한의용생체공학회:학술대회논문집
• /
• 대한의용생체공학회 1998년도 추계학술대회
• /
• pp.201-202
• /
• 1998

In this paper we suggested an automated method for detecting and counting rapid eye movement(REM) using EOG during sleep. This method is formulated by two step fuzzy logic. At first step, the velocity and the distance of single channel eye movement are used for the fuzzy input to get the possibility of being REM at each EOG. At second step, the two possibility values of both EOG from the first step and the correlation coefficient of both eye movements are used for the fuzzy logic input, and the output is the final possibility of being Rapid Eye Movement. We applied this algorithm to the normal and narcoleptic sleep data and compared the difference. We found the possibility that the count of REM can be a parameter that has significant physiological meanings.

• 대한세포병리학회지
• /
• 제8권2호
• /
• pp.129-134
• /
• 1997

To distinguish reactive mesothelial cells from malignant cells in body fluid, we applied silver staining of nucleolar organizer regions(AgNORs) to ethanol fixed cytologic preparations. Fifty aspirated samples of benign(22 cases) and malignant(26 cases) body fluids were studied using the one step silver staining method. Two cytologically atypical samples were also included in the study. In malignant cases the mean AgNOR count was $3.56{\pm}0.81$, while in benign cases the mean AgNOR count was $2.02{\pm}0.33$. The difference of AgNOR counts between these two groups were statistically significant(p<0.001). The mean of atypical cases was 2.91. Both were diagnosed as malignant in follow-up cytology. In malignant effusions, there is statistically significant difference in AgNOR counts between cells forming complex papillae or clusters and singly scattered cells(p<0.05), $3.29{\pm}0.95\;and\;3.83{\pm}0.55$, respectively. We concluded that AgNOR count appears to be useful as a diagnostic tool especially when the cytologic differentiation is difficult.

• 예술인문사회 융합 멀티미디어 논문지
• /
• 제7권4호
• /
• pp.551-559
• /
• 2017

본 논문에서는 베어링 고장진단 성능을 개선하기 위해 실시간 학습 방법을 제안한다. 기존 베어링 고장진단의 문제점은 학습되지 않은 상태에 대해 올바른 분류를 할 수 없다는 점이다. 제안한 4단계 실시간 학습 방법은 새로운 상태를 실시간으로 인지 및 학습하여 새로운 상태의 데이터를 올바르게 분류할 수 있다. 1단계에서는 학습 정보에서 각 클래스의 무게중심과 그 클래스 내 각 특징벡터 사이의 유클리디안 거리를 계산하여 각 클래스별로 거리의 최대값을 계산한다. 2단계에서는 새로 취득된 데이터의 특징벡터와 각 클래스의 무게중심 사이의 유클리디안 거리를 계산하고 각 클래스별 최대 허용 거리와 비교한다. 3단계에서는 새로 취득된 데이터들과 각 클래스 내 무게중심 사이의 거리가 각 클래스의 최대 허용 거리보다 모두 클 경우 새로운 상태의 데이터로 인지하고 새로운 상태 인지 횟수를 증가시킨다. 마지막 4단계에서는 새로운 상태 인지 회수가 10보다 클 경우 새로운 상태의 클래스를 생성하기 위해 새로운 상태로 인지된 10개의 데이터를 새로운 상태의 클래스로 지정하고 분류기를 재학습시킨다. 제안한 방법의 성능을 검증하기 위해 실제 베어링 결함 데이터를 사용하여 제안한 실시간 학습 방법의 효율성을 검증하였다.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
• /
• pp.491-491
• /
• 2000

In this paper, we report the results about the rotational control count on DC motor to drive the mobile vehicle as a first step of the research for the realization of the mobile vehicle with the artificial brain. First of all, we introduce the configuration of the mobile vehicle. This mobile vehicle has one CCD camera driven by a rear wheel. Secondly we show the control methods. This research is adopted the various controls. Finally we report the experimental methods and results and we describe the conclusion of this research.

• 대한전기학회논문지:시스템및제어부문D
• /
• 제55권9호
• /
• pp.420-422
• /
• 2006

This paper proposes a new method to count the number of steps for personal navigation systems. The proposed method resolves the mis-counting problem caused by the variation of the ground and walking behavior. To this end, a 2-axis accelerometer is utilized and a reliable step counting algorithm is developed. Experimental test was carried out to show the effectiveness of the proposed method. Test results show that the proposed method gives a robust performance for several types of ground and walking behavior.

• Communications for Statistical Applications and Methods
• /
• 제27권2호
• /
• pp.177-187
• /
• 2020

This article is concerned with the issue of forecasting and evaluation of threshold-asymmetric volatility models for time series of count data. In particular, threshold integer-valued models with conditional Poisson and conditional negative binomial distributions are highlighted. Based on the parametric bootstrap method, some evaluation measures are discussed in terms of one-step ahead forecasting. A parametric bootstrap procedure is explained from which directional measure, magnitude measure and expected cost of misclassification are discussed to evaluate competing models. The cholera data in Bangladesh from 1988 to 2016 is analyzed as a real application.

• 한국인공지능학회지
• /
• 제8권1호
• /
• pp.1-6
• /
• 2020

The Recently there has been a growing interest in health care due to the COVID-19 situation. In this paper, we intend to develop a healthcare monitoring system to provide users with smart healthcare systems in line with the healthcare 3.0 era. The system consists of a wireless network between various sensors, Android smartphones, and OLEDs using Bluetooth, and through this, a health care monitoring system capable of collecting user's biometric information and managing health by receiving data values of sensors connected to Arduino. In conclusion, the user's BPM value was calculated using the heart rate sensor, and the exercise intensity can be adjusted through this. In addition, a step derivation algorithm is implemented using an acceleration sensor, and calorie consumption can be measured using the step and weight values. As such, the heart rate, step count, calorie consumption data can be transmitted to a smartphone application through a Bluetooth module and output, and can be output to an OLED for users who are not easy to access the smartphone. This healthcare monitoring system can be applied to various groups and technologies.

• 대한영양사협회학술지
• /
• 제11권2호
• /
• pp.159-169
• /
• 2005

The purpose of this study was to assess the energy expenditure and investigate the relationship between related variables in 70 female university students. Resting energy expenditure estimated by Harris-Benedict formula, WHO/NAO/FAO formula and various formulas based on body weight and body surface area were 1366.9$\pm$74.4kcal/day, 1287.8$\pm$106.6kcal/day, 1171.4$\pm$155.8kcal/day and 1342.0$\pm$97.4kcal/day. Measured resting energy expenditure by indirect calorimetry(Model : Metavine and TrueOne2400) were 1582.0$\pm$150.1kcal/day and 1268.2$\pm$152.9kcal/day, respectively. Average step number per day was 11981.2$\pm$3014.4 steps and average step number per hour was 746.1$\pm$198.0 steps/hr. Daily energy expenditure by using Harris-Benedict formula, body weight formula, body surface area formula, WHO/NAO.FAO formula and 15-min check list formula were 2374.7$\pm$249.6kcal, 2033.5$\pm$313.2kcal, 2331.2$\pm$266.0kcal, 2240.8$\pm$185.5kcal and 2195.5$\pm$398.3kcal. Meanwhile energy intake of subjects was 1714.9$\pm$551.2 kcal. Daily energy expenditure has positive correlation(r=0.262) with daily step number. And there was significant positive correlations(r=0.35-0.68) between various daily energy expenditures and muscle mass. These results suggested that increase of daily step number by using pedometer is good method to increase daily energy expenditure. In particular, increase in step number can reinforce the amounts of muscle.

• 제어로봇시스템학회논문지
• /
• 제19권6호
• /
• pp.569-575
• /
• 2013

This paper proposes a method for PDR (Pedestrian Dead-Reckoning) using a low cost IMU. Generally, GPS has been widely used for localization of pedestrians. However, GPS is disabled in the indoor environment such as in buildings. To solve this problem, this research suggests the PDR scheme with an IMU attached to the pedestrian's waist. However, despite the fact many methods have been proposed to estimate the pedestrian's position, but their results are not sufficient. One of the most important factors to improve performance is, a new calibration method that has been proposed to obtain the reliable sensor data. In addition to this calibration, the PDR method is also proposed to detect steps, where estimation schemes of step length, attitude, and heading angles are developed. Peak and zero crossings are detected to count the steps from 3-axis acceleration values. For the estimation of step length, a nonlinear step model is adopted to take advantage of using one parameter. Complementary filter and zero angular velocity are utilized to estimate the attitude of the IMU module and to minimize the heading angle drift. To verify the effectiveness of this scheme, a real-time system is implemented and demonstrated. Experimental results show an accuracy of below 1% and below 3% in distance and position errors, respectively, which can be achievable using a high cost IMU.

• Food Science and Biotechnology
• /
• 제15권5호
• /
• pp.773-777
• /
• 2006

Growth of Bacillus cereus was assessed during the storage of seasoned soybean sprouts at 0,5, 10, and $15^{\circ}C$. No lag time in its growth curve was observed and thus the specific growth rate of B. cereus in the exponential growth phase was estimated for bootstrapped microbial count data. The distribution of the specific growth rate could be explained by the BetaGeneral distribution function, and temperature dependence was described by the Ratkowsky square root model. The temperature dependence of the growth could be successfully incorporated into the differential equation of microbial growth to predict the B. cereus count on the seasoned soybean sprouts under fluctuating temperature conditions. Safe shelf lives with different probabilities to reach $10^5\;CFU/g$ were presented at four different temperatures, considering the variation in initial contamination and specific growth rate by the Monte Carlo method and 2-step bootstrapping, respectively. Safe shelf lives defined as the time with a probability of less than 0.1% of reaching the critical limit, were 13.4, 5.2, 3.6, and 2.8 days at 0, 5, 10, and $15^{\circ}C$, respectively.