• 인터넷정보학회논문지
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• 제7권6호
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• pp.105-112
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• 2006

본 논문에서는 NAND 형태의 플래시 메모리를 이용하여 시스템의 성능을 저하시키는 삭제 연산을 감소시켜 수행시간을 보장할 수 있는 플래시 메모리 전용 파일시스템을 설계한다. 파일 시스템 측면에서 플래시 메모리의 쓰기 연산 횟수를 감소시키면 파일시스템의 성능을 향상 시킬 수 있으므로, 쓰기 횟수를 감소시킬 수 있도록 새로운 i_node 구조를 구성하여 파일 시스템을 구성한다. 새롭게 구성된 i_node구조를 통하여 삭제 연산을 위한 Cleaning 알고리즘을 본 문에서 제시한다. 또한, Cleaning 될 데이터는 응용 프로그램 실행 시 자연적으로 발생하는 지역공간성과 시간공간성의 개념에 의해 최근에 사용된 응용 프로그램과 데이터가 또다시 실행될 가능성이 높은 실험결과에 따라서 최근의 데이터를 가장 오래유지하고 가장 오래된 데이터가 Cleaning 되도록 설계하였다. 실험과 플래시 파일 시스템 구현을 통하여 임베디드 시스템에서 요구하는 NAND 형 플래시 파일 시스템의 효율성을 증명한다.

• 로봇학회논문지
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• 제5권3호
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• pp.209-215
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• 2010

This paper presents a graphic user interface system consisting of graphic simulator and remote control system for a building cleaning robot. It provides a tool of convenient 3D graphical map construction for real world. The 3D map is reconstructed from existing 2D building CAD data with DXF format by using OpenGL graphic API. Through this system, graphic display of robot's status information, remote control and cleaning scheduling can be done for a building cleaning robot. This proposed system is expected to give efficient way of graphic simulation and remote monitoring and control system for a building cleaning robot.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2018년도 추계 학술논문 발표대회
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• pp.138-139
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• 2018

The purpose of this study is to analyze the work of the existing manpower dependent cleaning method by investigating the window cleaning site. In this study, detailed work contents were confirmed by on-site investigation and interview with experts, and the relationship, procedure, repetition work, and time required for each work were analyzed. The future analysis results will be used as a basic data for comparative analysis of productivity and economical efficiency with the window cleaning device to be developed.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2017년도 추계 학술논문 발표대회
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• pp.203-204
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• 2017

In case of developing a guide-rail type window cleaning robot, only the first prototype has been developed. In this study, it was considered that the size and the load of the window cleaning robot was not optimized, and through the structural analysis of the self-weight of the window cleaning robot, the stress concentration area was derived and the concentrated stress was quantified. Analysis showed that the upper rail shaft had a bending stress of 9.964Mpa and the bolt had a shear stress of 19.544Mpa. The results of this study will be used as basic data for designing future prototypes.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.415-415
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• 2000

The functions of a mobile robot such as obstacle knowledge and collision avoidance for in-door cleaning are necessary features, as has been much studied in the field of industrial automatic guided vehicle or general mobile robot. A mobile robot, in order to avoid collision with obstacles, has to gather data with environment knowledge sensors and recognize environment and the shape of obstacles from the data. In the study, a wall-following algorithm was suggested as a autonomous moving algorithm in which a mobile robot can recognize obstacles in indoor like environment and do cleaning work in effect. The system suggested in the study is for cleaning of nuclear material dusts generated in the process of nuclear fuel manufacturing and decontamination of devices in disorder which is performed in M6 radioactive ray shield hot-cell in IMEF(Irradiated Material Examination Facility) in the Korea Atomic Energy Research Institute.

• 한국의류학회지
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• 제38권6호
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• pp.942-952
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• 2014

Winter outerwear includes various clothes such as classical jackets/coats, padded jackets/coats, wind breakers, leather and fur jackets/coats. This research surveyed care-label instructions attached to 100 jackets/coats dropped off at five drycleaners in the Gyungin area. University students' perception and attitudes towards care labels and management of winter outerwear were examined using a questionnaire. Data collected from 230 respondents were analyzed by frequency analyses, t-tests, ANOVAs and Duncan tests with PASW 20.0. Half of the padding jackets/coats were labelled to be dry cleaned and dry cleaning was more excessively labelled than necessary. University students confirmed more care symbols than fiber compositions such as more at time of cleaning than at purchasing. Clothing-related major students understood care label symbols better than non-clothing major students. Consumers laundered some winter outerwear at home, even though they thought dry cleaning was a proper cleaning method. The appropriate cleaning method for padded jackets/coats is laundering; however, consumers who answered dry cleaning as an appropriate method were three times as those who answered washing, and those performed dry cleaning were two times as those who performed washing. Winter outerwear manufacturers should provide adequate and more specified care-information to consumers in order to maintain initial appearance and performance over longer periods.

• 한국컴퓨터정보학회논문지
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• 제25권4호
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• pp.37-45
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• 2020

딥러닝의 개발 프로세스는 대량의 수작업이 요구되는 반복적인 작업으로 그 중 학습 데이터 전처리는 매우 큰 비용이 요구되며 학습 결과에 중요한 영향을 주는 단계이다. AI의 알고리즘 연구 초기에는 주로 데이터 과학자들에 의해 완벽하게 정리하여 제공된 공개 DB형태의 학습데이터를 주로 사용하였다. 실제 환경에서 수집된 학습 데이터는 주로 센서들의 운영 데이터이며 필연적으로 노이즈가 많이 발생할 수 있다. 따라서 노이즈를 제거하기 위한 다양한 데이터 클리닝 프레임워크와 방법들이 연구되었다. 본 논문에서는 IoT환경에서 발생 될 수 있는 센서 데이터와 같은 시계열 데이터에서 노이즈를 감지하고 제거하는 방법을 제안하였다. 이 방법은 선형회귀 방법을 사용하여 시스템이 반복적으로 노이즈를 찾아내고, 이를 대체할 수 있는 데이터를 제공하여 학습데이터를 클리닝한다. 제안된 방법의 효과를 검증하기 위해서 본 연구에서 시뮬레이션을 수행하여, 최적의 클리닝 결과를 얻을 수 있는 인자들의 결정 방법을 확인하였다.

• 디지털융복합연구
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• 제12권2호
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• pp.263-270
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• 2014

클라우드 환경에서 비즈니스 인텔리전스를 위한 DW(Data Warehouse)는 기업 내에 데이터를 의사결정, 기업 정책을 결정하는데 사용하고 있다. 그러나 클라우드 환경에서 새로운 시스템이 추가되면 데이터 통합 측면에서 시스템간의 여러 가지 이질적인 특성으로 인해 많은 비용과 시간이 필요로 하게 된다. 따라서 본 논문에서는 클라우드 환경에서 비즈니스 인텔리전스를 위한 데이터 정제 시스템을 제안한다. 제안 시스템은 XMDR-DAI를 이용하여 분산된 시스템을 통합할 때 로컬 시스템의 영향을 최소화하고, DW의 정보를 실시간으로 생성하기 위해 데이터 통합을 위한 표준화된 정보를 제공한다. 또한 기존 시스템의 변경 없이 데이터를 통합하여 비용과 시간을 절감하고, 실시간 데이터 추출 및 정제 작업을 통한 일관성 있는 실시간 정보를 생성하여 정보의 품질의 향상시킬 수 있도록 한다.

• Journal of Information Processing Systems
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• 제19권2호
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• pp.149-163
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• 2023

Affected by external factors, errors in time series data collected by sensors are common. Using the traditional method of constraining the speed change rate to clean the errors can get good performance. However, they are only limited to the data of stable changing speed because of fixed constraint rules. Actually, data with uneven changing speed is common in practice. To solve this problem, an online cleaning algorithm for time series data based on dynamic speed change rate constraints is proposed in this paper. Since time series data usually changes periodically, we use the extreme learning machine to learn the law of speed changes from past data and predict the speed ranges that change over time to detect the data. In order to realize online data repair, a dual-window mechanism is proposed to transform the global optimal into the local optimal, and the traditional minimum change principle and median theorem are applied in the selection of the repair strategy. Aiming at the problem that the repair method based on the minimum change principle cannot correct consecutive abnormal points, through quantitative analysis, it is believed that the repair strategy should be the boundary of the repair candidate set. The experimental results obtained on the dataset show that the method proposed in this paper can get a better repair effect.

• Journal of Korean Biological Nursing Science
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• 제13권3호
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• pp.204-210
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• 2011

Purpose: The purpose of this study was to provide basic data for the guidelines for cleaning the feeding bags by comparing the level of contamination according to cleaning and disinfection methods when feeding tube of Neurosurgery Intensive Care Unit patients. Methods: This study was a true-experimental study, with 48 cases in total. The feeding bag of 48 patients were randomly assigned to detergent cleaning method or disinfectant decontamination method. The period of the experiment was January to July 2008, and enteral nutrition was given within 30 minutes for 2 hours, 4 times a day at 7AM, noon, 5PM, and 9PM for seven days. Feeding bags were cleaned after each feeding according to the assigned cleaning and disinfection method followed by microbial cultures on 4th and 8th day before the 7AM feeding. Results: After three and seven days of feeding and cleaning, the level of contamination was significantly lower when bags were cleaned with disinfectant than cleaning with detergent and tepid water. Conclusion: In cases where feeding bags are reused, for example, intensive care unit and home care settings, study findings indicate that cleaning bags with disinfectant is an effective way to prevent contamination of bags.