• International Journal of Fuzzy Logic and Intelligent Systems
• /
• 제4권1호
• /
• pp.119-124
• /
• 2004

Real data as web log file tend to be incomplete. But we have to find useful knowledge from these for optimal decision. In web log data, many useful things which are hyperlink information and web usages of connected users may be found. The size of web data is too huge to use for effective knowledge discovery. To make matters worse, they are very sparse. We overcome this sparse problem using Markov Chain Monte Carlo method as multiple imputations. This missing value imputation changes spare web data to complete. Our study may be a useful tool for discovering knowledge from data set with sparseness. The more sparseness of data in increased, the better performance of MCMC imputation is good. We verified our work by experiments using UCI machine learning repository data.

• Applied Science and Convergence Technology
• /
• 제23권1호
• /
• pp.54-59
• /
• 2014

The roll-to-roll (R2R) fabrication method to make micro-scale pillar arrays for biomimetic functionalization of surfaces is presented. Inspired by the micro-structure of plants in nature, a surface with a synthetic micro-scale pillar array is fabricated via maskless photolithography. After the surface is SAM (self-assembled monolayer) coated with trichlorosilane in a vacuum desiccator, it displays a hydrophobic property even in R2R replicas of original substrate, whose properties are further characterized using various pitches and diameters. In order to perform a comparison between the original micro-pattern and its replicas, surface morphology was analyzed using scanning electron microscopy and wetting characteristics were measured via a contact angle measurement tool with a $10{\mu}L$ water droplet. Efficient roll-to-roll imprinting for a biomimetic functionalized surface has the potential for use in many fields ranging from water repelling and self-cleaning to microfluidic chips.

• 한국컴퓨터정보학회논문지
• /
• 제28권3호
• /
• pp.177-187
• /
• 2023

이 연구는 교육서비스 관점에서 MOOC의 질 평가를 위한 잠재모형을 도출하고 신뢰롭고 타당한 MOOC 질 평가도구를 개발하고 타당화하는 데 목적이 있다. 연구목적을 달성하기 위해 선행 연구결과에 기초해서, MOOC 평가 잠재모형(4개 요인과 8개 하위요인)을 도출하였다. 이 잠재모형을 토대로 18개 예비 평가문항을 개발한 후, 대학 원격수업 경험이 있는 학습자 138명을 대상으로 문항중요도 설문을 실시하였다. 수집된 136개의 자료를 활용하여 탐색적 요인분석 결과, 수집된 데이터에서 4개의 요인(체제적 학습 경험, 가치 경험, 가치 경험의 공동 창조, 고차원 학습경험)과 7개의 하위요인(실제성, 신뢰성, 확신성, 반응성, 조직환경 체계성, 프로그램 체계성, 학습자 지지의 체계성, 공동주도성)으로 추출되었다. 신뢰도 분석결과, 선정된 문항들은 각 척도를 구성하는 문항으로서 높은 내적합치도를 보였다. MOOC에 대한 평가도구는 타당하고 신뢰할 수 있다는 결론을 내릴 수 있다.

• Safety and Health at Work
• /
• 제11권1호
• /
• pp.80-87
• /
• 2020

Background: Residential and commercial cleaning is a part of our daily routine to maintain sanitation around the environment. Health care of professionals involved in such cleaning activities has become a major concern all over the world. The present study investigates the risk of musculoskeletal disorders in professional cleaners involved in floor mopping tasks. Methods: A cross-sectional study was performed on 132 mopping professionals using a modified Nordic questionnaire. The Pearson correlation test was implemented to study the association of perceived pain with work experience. The muscle strain and postural risk were evaluated by means of three-channel electromyography and real-time motion capture respectively of 15 professionals during floor mopping. Results: Regarding musculoskeletal injuries, risk was reported majorly in the right hand, lower back, left wrist, right shoulder, left biceps, and right wrist of the workers. Work experience had a low negative association with MSDs in the left wrist, right wrist, right elbow, lower back, and right lower arm (p < 0.01). Surface EMG showed occurrence of higher muscle activity in upper trapezius and biceps brachii (BB) muscles of the dominant hand and flexor carpi radialis and BB muscles of the nondominant hand positioned at the upper and lower portion of the mop rod, respectively. Conclusion: Ergonomic mediations should be executed to lessen the observed risk of musculoskeletal injuries in this professional group of workers.

• 한국환경보건학회지
• /
• 제47권5호
• /
• pp.462-471
• /
• 2021

Background: The number of synthesized chemicals has rapidly increased over the past decade. For many chemicals, there is a lack of information on toxicity. With the current movement toward reducing animal testing, the use of toxicity big data and deep learning could be a promising tool to screen potential toxicants. Objectives: This study identified potential chemicals related to reproductive and estrogen receptor (ER)-mediated toxicities for 1135 cleaning products and 886 laundry products. Methods: We listed chemicals contained in cleaning and laundry products from a publicly available database. Then, chemicals that potentially exhibited reproductive and ER-mediated toxicities were identified using the European Union Classification, Labeling and Packaging classification and ToxCast database, respectively. For chemicals absent from the ToxCast database, ER activity was predicted using deep learning models. Results: Among the 783 listed chemicals, there were 53 with potential reproductive toxicity and 310 with potential ER-mediated toxicity. Among the 473 chemicals not tested with ToxCast assays, deep learning models indicated that 42 chemicals exhibited ER-mediated toxicity. A total of 13 chemicals were identified as causing reproductive toxicity by reacting with the ER. Conclusions: We demonstrated a screening method to identify potential chemicals related to reproductive and ER-mediated toxicities utilizing chemical toxicity big data and deep learning. Integrating toxicity data from in vivo, in vitro, and deep learning models may contribute to screening chemicals in consumer products.

• 한국기계가공학회지
• /
• 제19권2호
• /
• pp.1-8
• /
• 2020

While dental clinics still use the ultrasonic scaling/surgery tool for teeth scaling and cleaning the tool's use is expanding steadily to include treatment of damaged teeth and bone tissue. In this study, a handpiece moving system (HMS) was developed to evaluate bone scaling and cutting in the field of dentistry. The HMS, through a scaling test of bone using a scaler tip, it was able to identify surface damage. Additionally, a thermos-graphic camera was used to observe the temperature distribution that occurred during the bone scaling and cutting process. Consequently, we found that increasing the working load increased the amount of surface damage. Changes in temperature distribution occurred slowly and were maintained within safety bounds for 10 minutes. Going forward, we will compare the HMS performance on scaling and cutting with other devices.

• 한국진공학회:학술대회논문집
• /
• 한국진공학회 2015년도 제49회 하계 정기학술대회 초록집
• /
• pp.130-130
• /
• 2015

플라즈마를 이용한 cleaning, etching, sputtering 공정에서 발생하는 마이크로아크방전이나 turn-off후의 잔류정전기는 공정대상물의 절연파괴나 전자소자에 전기적 손상을 유발함으로서 공정의 불량률을 증가시키는 중요한 요인이 된다. 본 연구에서는 잔류정전기를 관찰하기위하여 실린더형 챔버구조의 평행평판 전극구조를 지닌 용량결합형 플라즈마에서 powered electrode에 부착된 유전체 기판 표면의 잔류 정전기의 변화 양상을 planar type probe로 측정해보았다. 300mtorr 압력에서 아르곤가스로 발생시킨 플라즈마가 존재할 때 낮은 음전위 평균값을 가지던 기판표면 전위가 전력인가가 중지되었을때 20V 가량의 양전위를 가질 수 있음을 측정 하였고, 이것을 COMSOL MULTIPHYSICS TOOL을 활용한 시뮬레이션과 비교하였다. 이 현상이 파워인가 전극이 플라즈마 영역에 노출되느냐에 따라 발생할 수 있음을 알게 되었고, 그 크기와 지속시간은 입력전력 및 블로킹 커패시터와 유전체 기판의 정전용량에 의존함을 확인 하였다.

• 대한용접접합학회:학술대회논문집
• /
• 대한용접접합학회 1999년도 특별강연 및 추계학술발표대회 개요집
• /
• pp.297-298
• /
• 1999

Cemented carbides material (WC-Co hard alloy) were recognized very important and expensive tool or die assembly parts because of compose for the main elements of rare metal (W and Co etc). This research was developed to separate and recover of WC fine powder contained by WC-Co materials. Recycling process was a new method named by the Tin impregnation for decobaltification on cemented carbides. This reaction occurred to product a brittle Co-Sn intermetallic compounds, thereafter it carried out by acid cleaning solution and physical milling or powdering. New process was able to recover about 60％ WC fine powder from 1 to 5 ${\mu}{\textrm}{m}$.

• 한국공작기계학회논문집
• /
• 제15권5호
• /
• pp.37-43
• /
• 2006

The target of this study is development of web based mold discrimination system by matching vision information with CAD database. The use of 2D vision image makes possible speedy mold discrimination from many databases. The image processing such as preprocessing, cleaning is done for obtaining vivid image with object information. The web-based system is a program which runs to exchange messages between a server and a client by making of ActiveX control and the result of mold discrimination is shown on web-browser. For effective feature classification and extraction, signature method is used to make sensible information from 2D data. As a result, the possibility of proposed system is shown as matching feature information from vision image with CAD database samples.

• 제어로봇시스템학회:학술대회논문집
• /
• 제어로봇시스템학회 1994년도 Proceedings of the Korea Automatic Control Conference, 9th (KACC) ; Taejeon, Korea; 17-20 Oct. 1994
• /
• pp.202-206
• /
• 1994

Mathematical model of the pollution rate of substation insulators is constructed, taking the model parameters as wind speed, wind direction, typhoon conditions and rainfall in an hourly basis. The main feature of model construction is to distinguish the effect of each parameter by separately analyzing the positive and negative pollution causing factors. Model parameters for the insulators of Karatsu substation, Saga, Japan were estimated and model validation was done using the actual data, in which the pollution deposits on the insulators were measured using pilot insulator and 'salt meter'. The proposed model of the pollution rate [mg/cm$^{2}$/hr] enables the identification of the effective parameters and prediction of the pollution rate so that it helps for the automatic decision making for insulator cleaning or the model can be used as a tool for the substation engineers to make precautionary measures.