• 한국산업보건학회지
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• 제29권2호
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• pp.159-166
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• 2019

Objectives: The purpose of this study was to evaluate the personal exposure to $PM_{10}$ by body parts for the development of dust monitoring wearable device for swine farmers. Methods: Tasks were classified by using motion pictures taken by action cameras attached to swine farmers. Concentrations of $PM_{10}$ were measured by attaching direct-reading instruments at the head, neck and waist of worker. Differences of $PM_{10}$ exposure between body parts were analyzed with linear regression. Results: We identified three tasks(vaccination, moving pigs, and manure treatment). $PM_{10}$ concentration during vaccination was the highest among the tasks, and the body part showing the highest concentration of $PM_{10}$ was the waist regardless of task. In all tasks, the closer distance between the body parts, the higher were the R-squared values(vaccination 0.4221, moving pigs 0.6990, and manure treatment 0.2164). Conclusions: We presumed that $PM_{10}$ concentrations were affected by the parts of the body in which they were measured. In order to develop swine farmer's wearable device for monitoring dust concentration in air, the determination of the positions of monitoring sensor to ensure accurate measurement is essential. Considering the results of this study, wearable sensor should be positioned at the waist.

• 대한원격탐사학회지
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• 제36권5_3호
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• pp.1037-1051
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• 2020

최근 기후변화로 인해 강도가 높은 태풍의 빈도가 높아짐에 따라 태풍 예측의 중요성이 강조되고 있는 데, 태풍경로예측에 비해 태풍강도예측에 대한 연구는 미비한 상황이다. 이에 본 연구에서는 딥러닝 모델인 Multi-task learning (MTL) 기법을 활용하여 정지궤도기상위성을 활용한 관측자료와 수치예보모델을 융합한 실시간 추정 및 6시간, 12시간 후의 태풍강도예측 모델을 제안하고자 한다. 본 연구에서는 2011년에서 2016년까지 북서태평양에서 발생한 총 142개의 태풍을 대상으로 강도 예측 연구를 시행하였다. 한국 최초의 기상위성인 Communication, Ocean and Meteorological Satellite (COMS) Meteorological Imager (MI)를 활용하여 태풍의 관측영상을 추출하였고, National Center of Environmental Prediction (NCEP)에서 제공하는 Climate Forecast System version 2 (CFSv2)를 활용하여 6시간, 12시간 후의 태풍 주변 대기 및 해양 예측변수를 추출하였다. 본 연구에서는 각 입력자료의 활용성을 정량화 하기 위하여, 위성 기반 태풍관측영상만을 활용한 MTL 모델(Scheme 1)과 수치예보모델을 융합적으로 활용한 MTL 모델(Scheme 2)을 구축하고, 각 모델의 훈련 및 검증 성능을 정량적으로 비교하였다. 실시간 강도 추정의 결과 scheme 1과 scheme 2에서 비슷한 성능을 보이는 반면, 6시간, 12시간 후 태풍강도예측의 경우 scheme 2에서 각각 13%, 16% 개선된 결과를 보였다. 태풍 단계별 예측성능에 대한 분석을 시행한 결과, 저강도 태풍일수록 낮은 평균제곱근오차를 보인 반면, 대부분의 강도 단계에서 평균제곱근편차비는 30% 미만의 값을 보이며 유의미한 검증 결과를 보였다. 이에 본 연구에서 제시한 두가지 모델을 기반으로 2014년 발생한 태풍 HALONG의 시계열검증을 시행하였다. 그 결과, scheme 1의 경우 태풍 초기발달단계에서 태풍의 강도를 약 20 kts가량 과대 추정하는 경향을 보이는데, 환경예측자료를 융합한 scheme 2에서는 오차가 약 5 kts가량으로 과대 추정 경향이 줄어들었다. 본 연구에서 제시하는 현재, 6시간, 12시간 후 강도를 동시에 추출하는 MTL 모델은 Single-tasking model 대비 약 300%의 시간 효율을 보이며, 향후 신속한 태풍 예보 정보 추출에 큰 기여를 할 수 있을 것으로 기대된다.

• 대한수학교육학회지:학교수학
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• 제10권1호
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• pp.23-42
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• 2008

본 연구는 4명의 초등학교 5학년 수학영재들이 주어진 대수 과제를 해결하는 과정에서 나타나는 일반화 전략과 그에 대한 정당화의 특성을 살펴보고, 그러한 과정에서 나타난 메타인지적 사고 특성을 분석한 연구이다. 문헌 검토를 통해 일반화 전략 정당화의 유형과 메타인지적 사고를 위한 분석틀을 마련하고 학생들의 다양한 반응들을 분석하였다. 일반화 과정에서 학생들은 과제가 내포한 복합적인 관계나 순환적인 관계를 다양한 경로로 파악했고, 이 관계를 토대로 일반식을 이끌어냈다. 이러한 일반화에 대한 정당화 유형은 대부분 경험적 정당화와 형식적 정당화의 수준을 보여주었다. 메타인지적 사고의 특성에서 학생들은 자신이 보유한 지식을 복합적으로 동원하였고, 이러한 지식을 과제와 연결시키기 위하여 메타인지적 기능 영역인 '감시', '평가', '제어'와 같은 행동들을 수시로 발현시켰다. 감시, 평가, 제어의 사고과정은 학생들이 과제의 새로운 조건을 파악하게 하는 원동력이 되었고, 자신의 사고과정을 점검함으로써 특정한 사례들에 대한 값을 정당화하게 하며, 전략을 수정 변경하면서 해결과정을 지속적으로 이끌어나가게 했다.

• 대한영양사협회학술지
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• 제21권2호
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• pp.91-109
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• 2015

The present study was conducted to provide the basis for improvement of clinical nutrition services through development of job standards of clinical dietitian for the clinical nutrition therapy to cancer patients in hospitals. Developing A Curriculum (DACUM) method was used for job analysis and development of job standards for clinical dietitians for cancer care. Based on DACUM analysis, information about duties, tasks, and task elements of clinical dietitians for cancer care was collected. Developed job standards were applied to clinical nutrition care for cancer patients in hospitals for evaluation. Based on DACUM analysis, consultations from professionals, and field application tests, the final job standards were composed of four duties, 18 tasks, and 56 task elements. The duties consisted of nutritional assessment, nutrition diagnosis, nutrition intervention, and nutrition monitoring evaluation. For cancer nutrition care, 109 work activities were developed. They were composed of 75 basic and 34 recommended work activities. The application of developed job standards for clinical dietitians for cancer care at 10 hospitals showed a performance rate of 72.3%. In conclusion, job standards for clinical dietitians for cancer care developed in this study might be effectively used as guidelines for providing clinical nutrition services for cancer patients in hospitals.

• 한국멀티미디어학회논문지
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• 제19권2호
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• pp.300-307
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• 2016

Cloud computing that provide a elastic computing service is more complex compared to the existing computing systems. Accordingly, it has become increasingly important to maintain the stability and reliability of the computing system. And troubleshooting and real-time monitoring to address these challenges must be performed essentially. For these goals, the handling of the log data is needed, but this task in cloud computing environment may be more difficult compared to the traditional logging system. In addition, there are another challenges in order to have the admissibility of the collected log data in court. In this paper, we design secure logging service that provides the management and reliability of log data in a cloud computing environment and then analyze the proposed system.

• 제어로봇시스템학회논문지
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• 제19권1호
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• pp.65-71
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• 2013

In this work, new smart phone based moving target detection is proposed. In order to implement the task, methods of real time image transmission from network camera, motion detecting algorithm and its effective implementation are also addressed. The network camera transfers image data by MJPEG format which contains various information such as data and IP address, and the smart phone separates the image data received through a WiFi module. Later, the image data is converted to a Bitmap image format, and with the help of the embedded OpenCV library on a smart phone and algorithm, it was found that the moving object was identified effectively in terms of real time monitoring and detection.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권5호
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• pp.949-966
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• 2013

Recently, Wireless Body Area Network (WBAN) has promise to revolutionize human daily life. The need for multiple sensors and constant monitoring lead these systems to be energy hungry and expensive with short operating lifetimes. In this paper, we offer a review of existing work of WBAN and focus on energy-aware management in it. We emphasize that nodes computation, wireless communication, topology deployment and energy scavenging are main domains for making a long-lived WBAN. We study the popular power management technique Dynamic Voltage and Frequency Scaling (DVFS) and identify the impact of slack time in Dynamic Power Management (DPM), and finally propose an enhanced dynamic power management method to schedule scaled jobs at slack time with the goal of saving energy and keeping system reliability. Theoretical and experimental evaluations exhibit the effectiveness and efficiency of the proposed method.

• 전력전자학회:학술대회논문집
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• 전력전자학회 2001년도 Proceedings ICPE 01 2001 International Conference on Power Electronics
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• pp.365-368
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• 2001

The advantage of the squirrel cage induction motor is the brush less rotor. This advantage for operation and maintenance turns out to be a disadvantage for the detection of the cage rotor bar and endring defects, which means that the detection of cage faults is due to the measurement and analysis of only the stator input signals. The monitoring task in an inverter drive is complicated mainly because the voltage and current waveforms are nonsinusoidal and the high dv/dt values from fast switching inverterd distort the measurements. In this paper, we are going to discuss the detection method of broken rotor bar of the inverter fed squirrel cage induction motor by the motor current signature analysis(MCSA) and the opening terminal voltage signal analysis.

• 한국국방경영분석학회지
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• 제17권2호
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• pp.16-30
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• 1991

Data from a series of four studies on leadership behavior are analyzed and compared to identify effective patterns of leadership behavior for platoon leaders and battalion commanders in ROK Army. Multiple-method research strategy is utilized in four studies to overcome some of the limitations of previous researches. Two of four studies employ a questionnaire method, and the rest use content analysis of critical incidents. Important behaviors for leadership effectiveness in both platoon leaders and battalion commanders include Supporting and Motivating Task Commitment. However, Developing and Monitoring Operations are only important in platoon level, and Planning & Organizing and Recognizing & Rewarding only in battalion level. Most discrepancies in results among studies can be explained in terms of either method effects or situational differences in role requirements for leaders.

• Agricultural and Biosystems Engineering
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• 제1권1호
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• pp.22-29
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• 2000

The development of bio-response feedback control system known as the speaking plant approach has been a challenging task for plant production engineers and scientists. In order to achieve the aim of developing such a bio-response feedback control system, the primary concern should be to develop a practical non-invasive technique for monitoring plant growth. Those who are skilled in raising plants can sense whether their plants are under adequate water conditions or not, for example, by merely observing minor color and tone changes before the plants wilt. Consequently, using machine vision, it may be possible to recognize changes in indices that describe plant conditions based on the appearance of growing plants. The interpretation of image information of plants may be based on image features extracted from the original pictorial image. In this study, the performance of a finite element retina was optimized by a genetic algorithm. The optimized finite element retina was evaluated based on the performance of neural plant growth monitor that requires input data given by the finite element retina.