• 대한이식학회지
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• 제32권4호
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• pp.75-83
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• 2018

Background: This study was designed to analyze the clinical usefulness of mycophenolic acid trough concentration monitoring in kidney transplantation patients who were maintained with cyclosporine. Methods: The data of patients who underwent mycophenolic acid trough concentration monitoring after their first kidney transplant between November 2006 and August 2013 and were prescribed with cyclosporine, mycophenolate, and methylprednisolone were reviewed retrospectively. Cox analysis was used to analyze the risk factors for acute rejection within 1 year post-transplantation. Results: Among 90 patients, 41 (45.6%) achieved both the target levels of cyclosporine and mycophenolic acid, while three patients (3.3%) failed to achieve the target level of either cyclosporine or mycophenolic acid. Nine patients (10.0%) only achieved the mycophenolic acid target level and 37 patients (41.1%) only achieved the cyclosporine target level. While patients who achieved only the mycophenolic acid target concentration had no statistically increased risk compared to patients who achieved both target levels (hazard ratio [HR], 1.569; 95% confidence interval [CI], 0.316 to 7.778; P=0.581), patients who only achieved the cyclosporine target concentration showed an increased risk of rejection compared to the both achievement group (HR, 4.112; 95% CI, 1.583 to 10.683; P=0.004). Patients who had no achievement in the target levels showed significantly increased rejection risk compared to the patients who achieved both target levels (HR, 17.811; 95% CI, 3.072 to 103.28; P=0.001). Conclusions: Mycophenolic acid trough concentration monitoring combined with cyclosporine trough concentration monitoring is useful for avoiding acute cellular rejection if the first 1 year post-transplantation.

• 한국산업보건학회지
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• 제28권2호
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• pp.166-174
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• 2018

Objectives: This study aimed to estimate the number and proportion of target workplaces for work environment monitoring and evaluate the implementation rate of work environment monitoring. Methods: A questionnaire survey was conducted by the Ministry of Employment and Labor between March and May 2017 among 96,295 manufacturing businesses with more than five employees. The response rate was 17.8%. Estimates of the number and proportion of target workplaces for work environment monitoring were calculated as follows: number of workplaces where work environment monitoring was performed in 2016 + exposure rate based on the questionnaire * number of workplaces where work environment monitoring was not conducted. Results: Of the 150,655 total manufacturing businesses with more than five employees, 63,146 are estimated to be subject to work environment monitoring, which accounted for 41.9% of the workplaces. It is estimated that 73.3% of the target workplaces performed work environment monitoring. The number of workers exposed to hazardous substances is estimated to be about 0.7~1.2 million. Conclusions: Information on the distribution of workplaces subject to work environment monitoring and the rate of implementation can be used as baseline information for management and evaluation of the effectiveness of the work environment monitoring system.

• 한국컴퓨터산업학회논문지
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• 제6권3호
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• pp.509-518
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• 2005

원격 모니터링 시스템(RMS; Remote Monitoring System)은 산업의 자동화 과정에 따라 다양한 분야에 적용되고 있으며, 단순한 상태 감시기능에서 멀티미디어 인터페이스 기반의 실시간 제어 기능을 갖는 복합 응용시스템으로 발전하고 있는 추세이다. 본 연구에서는 네트워크로 연동된 원격 사이트의 타겟 시스템(target system)을 클라이언트의 웹 브라우저에서 모니터링 할 수 있는 감시기능과 특정 동작을 제어할 수 있는 제어기능을 갖는 웹 기반 모니터링 시스템을 개발하였다. 개발 시스템은 클라이언트가 웹 브라우저에서 타겟 시스템의 상태를 실시간으로 감시할 수 있는 모니터링 기능, 클라이언트가 모니터링 화면에서 특정 모듈의 값을 설정함으로써 시스템의 상태를 제어하는 출력제어 기능, 클라이언트가 웹 환경에서 타겟 시스템의 환경 변수를 직접 설정 또는 변경할 수 있는 환경설정 기능, 네트워크에 연동된 화상카메라를 이용하여 타겟 시스템 주변 환경을 비디오로 감시할 수 있는 비디오 감시기능 등으로 구성되어 있다. 본 RMS는 웹 기반의 인터페이스로 타겟 시스템에 쉽게 접근 및 관리가 가능하며, 특히, 무인 자동화 설비 및 폐쇄 공간 등에서 유용하게 활용될 수 있다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1998년도 제13차 학술회의논문집
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• pp.329-334
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• 1998

This work is concerned with the problem of tracking a maneuvering target. In this paper, an error monitoring and recovery method of perception net is utilized to improve tracking performance for a highly maneuvering tar-get. Many researches have been performed in tracking a maneuvering target. The conventional Interacting Multiple Model (IMM) filter is well known as a suboptimal hybrid filter that has been shown to be one of the most cost-effective hybrid state estimation scheme. The subfilters of IMM can be considered as fusing its initial value with new measurements. This approach is also shown in this paper. Perception net based error monitoring and recovery technique, which is a kind of geometric data fusion, makes it possible to monitor errors and to calibrate possible biases involved in sensed data and extracted features. Both detecting a maneuvering target and compensating the estimated state can be achieved by employing the properly implemented error monitoring and recovery technique. The IMM filter which employing the error monitoring and recovery technique shows good tracking performance for a highly maneuvering target as well as it reduces maximum values of estimation errors when maneuvering starts and finishes. The effectiveness of the pro-posed method is validated through simulation by comparing it with the conventional IMM algorithm.

• ETRI Journal
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• 제33권6호
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• pp.857-863
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• 2011

Due to uncertainties in target motion and randomness of deployed sensor nodes, the problem of imbalance of energy consumption arises from sensor scheduling. This paper presents an energy-efficient adaptive sensor scheduling for a target monitoring algorithm in a local monitoring region of wireless sensor networks. Owing to excessive scheduling of an individual node, one node with a high value generated by a decision function is preferentially selected as a tasking node to balance the local energy consumption of a dynamic clustering, and the node with the highest value is chosen as the cluster head. Others with lower ones are in reserve. In addition, an optimization problem is derived to satisfy the problem of sensor scheduling subject to the joint detection probability for tasking sensors. Particles of the target in particle filter algorithm are resampled for a higher tracking accuracy. Simulation results show this algorithm can improve the required tracking accuracy, and nodes are efficiently scheduled. Hence, there is a 41.67% savings in energy consumption.

• Communications for Statistical Applications and Methods
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• 제7권3호
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• pp.773-788
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• 2000

Statistical process control (SPC) and engineering process control (EPC) are based on different strategies for processes quality improvement. SPC reduces process variability by detecting and eliminating special causes of process variation. while EPC reduces process variability by adjusting compensatory variables to keep the quality variable close to target. Recently there has been needs for a process control proceduce which combines the tow strategies. This paper considers a combined scheme which simultaneously applies SPC and EPC techniques to reduce the variation of a process. The process model under consideration is an integrated moving average(IMA) process with a step shift. The EPC part of the scheme adjusts the process back to target at every fixed monitoring intervals, which is referred to a repeated adjustment scheme. The SPC part of the scheme uses an exponentially weighted moving average(EWMA) of observed deviation from target to detect special causes. A Markov chain model is developed to relate the scheme's expected cost per unit time to the design parameters of he combined control scheme. The expected cost per unit time is composed of off-target cost, adjustment cost, monitoring cost, and false alarm cost.

• Wind and Structures
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• 제37권5호
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• pp.383-397
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• 2023

In the Structural Health Monitoring (SHM) system of civil engineering, data missing inevitably occurs during the data acquisition and transmission process, which brings great difficulties to data analysis and poses challenges to structural health monitoring. In this paper, Convolution Neural Network (CNN) is used to recover the nonstationary wind speed data missing randomly at sampling points. Given the technical constraints and financial implications, field monitoring data samples are often insufficient to train a deep learning model for the task at hand. Thus, simulation combined transfer learning strategy is proposed to address issues of overfitting and instability of the deep learning model caused by the paucity of training samples. According to a portion of target data samples, a substantial quantity of simulated data consistent with the characteristics of target data can be obtained by nonstationary wind-field simulation and are subsequently deployed for training an auxiliary CNN model. Afterwards, parameters of the pretrained auxiliary model are transferred to the target model as initial parameters, greatly enhancing training efficiency for the target task. Simulation synergy strategy effectively promotes the accuracy and stability of the target model to a great extent. Finally, the structural dynamic response analysis verifies the efficiency of the simulation synergy strategy.

• 한국간호교육학회지
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• 제16권2호
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• pp.330-338
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• 2010

Purpose: This study was conducted to investigate performance of self-monitoring of blood glucose and the utilization of results for people with type II diabetes. Method: Data was collected from 177 patients with type II diabetes using a questionnaire from August to September, 2009. Result: Most participants performed self-monitoring of blood glucose in the correct way while some misused the lancet or test strips. In the utilization of results for self-monitoring blood glucose data, 62% of participants always recorded the data, 46% always understood the cause for hyperglycemia or hypoglycemia, 25% changed their diet, 23% regulated their exercise-amount, and 11% of participants adjusted the drug dosage. There were significant differences in the performance of self-monitoring of blood glucose and the utilization of results according to the characteristics in the self-monitoring subjects such as awareness of HbA1c, target fasting glucose level, target fasting glucose level 2 hours after meal etc. Conclusion: Systemic self-monitoring of blood glucose education which includes the utilization of self-monitoring of blood glucose needs to be developed for type II diabetic patients.

• 국제학술발표논문집
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• The 7th International Conference on Construction Engineering and Project Management Summit Forum on Sustainable Construction and Management
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• pp.252-259
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• 2017

Nowadays, the existing manual method for recording actual progress of the construction site has some drawbacks, such as great reliance on the experience of professional engineers, work-intensive, time consuming and error prone. A method integrating computer vision and BIM(Building Information Modeling) is presented for indoor automatic progress monitoring. The developed method can accurately calculate the engineering quantity of target component in the time-lapse images. Firstly, sample images of on-site target are collected for training the classifier. After the construction images are identified by edge detection and classifier, a voting algorithm based on mathematical geometry and vector operation will divide the target contour. Then, according to the camera calibration principle, the image pixel coordinates are conversed into the real world Coordinate and the real coordinates would be corrected with the help of the geometric information in BIM model. Finally, the actual engineering quantity is calculated.

• 한국수자원학회논문집
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• 제54권1호
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• pp.15-25
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• 2021

본 연구는 어류소상을 위한 암거어도에 대한 설계기준이 미비함에 착안하여 그 필요성과 효과를 제시하고자 하였다. 이러한 목적을 위한 시도로서 선정된 목표어종에 맞추어 수리학적으로 원형암거 어도를 설계하였으며, 설치된 어도에 대한 효과를 확인하기 위한 모니터링을 시행하였다. 위어 배플을 설치하지 않은 일반적인 원형암거의 경우 암거 전체 구간에서 일정한 수심과 유속이 형성되기 때문에 대상어종이 소상할 수 없으므로 어류소상을 돕기 위해서는 반드시 휴게풀이 있는 어도의 설치가 필요함을 확인하였다. 위어 배플이 설치된 원형암거 경우에 휴게풀에서 수심은 240% 증가하고 유속은 70%가 감소하므로써 1 ~ 5초간 체장의 10배 이상의 돌진속도로 유영할 수 있는 피라미의 소상조건을 만족시킬 뿐 아니라 다양한 하천성 어종의 소상이 가능함을 확인하였다. 복원구간에 대한 사후 모니터링과 원형암거 어도에 대한 어류 포획 모니터링 조사에서 목표어종인 피라미가 어도를 이용하여 소상함을 입증하였다.