A5102975010- Fault Detection and Control Systems
- Machine Fault Diagnosis Techniques
- Cancer Research and Treatments
- Innovations in Medical Education
- Medical Imaging and Analysis
- Advanced Image and Video Retrieval Techniques
- Handwritten Text Recognition Techniques
- Refrigeration and Air Conditioning Technologies
- Image Retrieval and Classification Techniques
- Genomic variations and chromosomal abnormalities
- Technology and Data Analysis
- Diverse Approaches in Healthcare and Education Studies
- Simulation-Based Education in Healthcare
- Image and Signal Denoising Methods
- Cancer Genomics and Diagnostics
- Textile materials and evaluations
- Industrial Vision Systems and Defect Detection
- Advanced Breast Cancer Therapies
- Healthcare Education and Workforce Issues
- Antimicrobial agents and applications
- Neuroinflammation and Neurodegeneration Mechanisms
- Medical Image Segmentation Techniques
- Olfactory and Sensory Function Studies
- Advanced Data Compression Techniques
- Infrared Thermography in Medicine
Target (United States)
2023
National Cancer Center
2023
LG (South Korea)
2022
Gwangju Institute of Science and Technology
2019
Gyeongsang National University
2016
Yeungjin College
2016
University of Science and Technology
2016
Wonkwang University
2014-2015
Korea University
2011
Duksung Women's University
2010
머신러닝 기법의 발달과 함께 기계에서 발생하는 다양한 종류(진동, 온도, 유량 등)의 데이터를 활용하여 기계의 상태를 진단하고 이상 탐지 및 비정상 분류 연구도 활발히 진행되고 있다. 특히 진동 활용한 회전 상태 진단은 전통적인 기계 모니터링 분야로 오랜 기간 동안 연구가 진행되었고, 연구 방법 또한 매우 다양하다. 본 연구에서는 가정용 에어컨에 사용되는 로터리 압축기에 가속도계를 직접 설치하여 수집하는 실험을 진행하였다. 데이터 부족 문제를 해결하기 위해 분할을 수행하였으며, 시간 영역에서의 데이터로부터 통계적, 물리적 특징들을 추출한 후, Chi-square 검증을 통해 고장 모델의 주요 특징을 추출하였다. SVM(Support Vector Machine) 모델은 압축기의 정상 혹은 유무를 분류하기 개발되었으며, 파라미터 최적화를 정확도를 개선하였다.
The purpose of this study was to investigate the reactions medical students cadaver dissection and their preferred learning methods in studying anatomy.Participants were 110 first-year 57 from a pre-medical course 53 graduate entry level. A self-reported questionnaire survey used assess students' emotional physical encounters with cadavers dissecting room teaching materials. Frequency, paired t-test, cross-sectional analyses conducted.Most experienced negative symptoms, such as eye soreness...
Purpose The genetic attribution for pancreatic ductal adenocarcinoma (PDAC) has been reported as 5%-10%. However, the incidence of germline pathogenic variants (PVs) in Korean PDAC patients not thoroughly investigated. Therefore, we studied to identify risk factors and prevalence PV future treatment strategies PDAC.Materials Methods Total 300 (155 male) with a median age 65 years (range, 33 90 years) were enrolled National Cancer Center Korea. predisposition genes, clinicopathologic...
Faulty compressors must be detected in advance to speed up the quality control process of compressor's performance. Machine learning models have recently been used as fault classification distinguish between normal and abnormal compressors, facilitating more sophisticated detection methods than those past. However, very few studies conducted on accurate efficient feature selection, despite its high importance. Therefore, this study proposes a new hybrid method that combines merits existing...
Ferrihydrite, or iron(III) (oxyhydr)oxide (Fe(OH)3), a representative scavenger of environmentally relevant toxic elements, has been repurposed as low-cost and scalable precursor well-developed hematite (α-Fe2O3) secondary nanoclusters with hierarchically structured morphology for lithium-ion anode materials. Here, we report that the bacteria Clostridium sp. C8, isolated from methane-gas-producing consortium, can synthesize self-assembled (∼150 nm) composed small nanoparticles (∼15 through...
Purpose: This study was designed to investigate how medical students' achievement goal orientations towards anatomy class influence perceived affect learning.Methods: Participants were 124 students.Students' self-report measures used for the assessment of their orientations, value, interests, effort, tension, test anxiety, and negative dissection experiences.Correlation multiple regression analyses data analyses.Results: Students with high levels mastery-approach goals displayed values,...
In the fault classification process, filter methods that sequentially remove unnecessary features have long been studied. However, existing do not guidelines on which, and how many, are needed. This study developed a multi-filter clustering fusion (MFCF) technique, to effectively efficiently select features. MFCF method combining is first applied for feature clustering; then, key automatically selected. The union of utilized find all potentially important features, an exhaustive search used...
Objectives The purpose of this study was to examine the relationship dental anxiety with oral health behavior and caries experience among adolescents. Methods subjects were 469 teenagers (238 middle school students 231 high students) in 15 different schools located 7 regions Bucheon Gyeonggi Province, Daejeon, others. A survey interviews conducted evaluate subjects’ anxiety. Dental additionally assessed by Corah’s Anxiety Scale. examined. Results There no regional differences Girls felt more...
Objectives The purpose of this study was to evaluate the caries prediction validity and between-observer reliability activity tests using sulfisomidine-containing acidic high sucrose liquid medium (SAHS test). Methods This longitudinal follow-up done for 1 year. subjects were 188 elementary school children. experience each examined. We adopted both SAHS test Dentocult SM as tests. conducted an ROC analysis on data, thereafter calculated sensitivity, specificity, predictive value, Kappa...
Abstract The whole human genome microarray on normal MCF10A, N-Ras-transformed, non-invasive MCF10A and H-Ras-transformed invasive breast epithelial cells revealed that the granulocyte-colony stimulating factor (G-CSF) was most highly upregulated in an H-Ras-specific manner. present study investigated whether G-CSF plays a causative role for H-Ras-mediated cell invasion migration. Importantly, siRNA-mediated knockdown of expression significantly reduced H-Ras-induced matrix...
본 연구의 목적은 입원 화상 환자 가족들의 신체적, 정서적, 사회적 보호부담을 완화시킬 수 있도록 원조 하는 집단상담 프로그램을 개발하고자 것이다. 이를 위하여 외상 후 성장 치료 모델인 번영(THRIVE)모델을 기반으로 프로그램의 내용을 일차 구성하였고, 시범 운영 프로젝트를 통해서 수정, 보완했다. 시범운영 프로젝트의 평가는 과정에 대한 형성평가와 산물평가, 변화만족도 평가로 구성되었다. 형성평가 결과를 반영하여 구조와 전략을 산물평가 결과, 집단 참여자들의 사회적, 정서적 보호부담과 우울 점수가 사전에 비해 사후에 유의미하게 감소한 것으로 나타났으며, 심리적 안녕감의 총점도 향상되었다. 결론에서는 입원기간 중 프로그램 참여로 나타난 긍정적인 변화를 유지하고, 극복의 성장으로 나아가기 위해서는 퇴원 이후에도 지속적인 가족 기반의 지원과 상담이 필요함을 논의하였다.
장면 텍스트 추출은 현대 스마트 시대에서 쏟아져 나오는 다양한 영상 기반 응용에 중요한 정보를 제공하기 때문에 중요하다. 기본적인 MSER(Maximally Stable Extremal Regions) 추출 후에 캐니 연산자를 이용하여 경계를 강화시키는 Edge-Enhanced MSER은 측면에서 뛰어난 성능을 보인다. 하지만 연산자의 임계값 설정에 따라 MSER의 결과영상이 다르게 나타나므로 설정을 계산하는 방법이 필요하다. 본 논문에서는 임계값을 설정하는 방법 중 히스토그램의 중앙값을 추출하고 이를 MSER에 적용한 AEMSER(Adaptive Edge-enhanced MSER)을 제안한다. 이 방법은 명확한 경계에 대해서만 영역을 추출하기 기존의 방법보다 더 좋은 결과영상을 얻을 수 있다. Scene text extraction is important because it offers some information on different image based...
실세계 영상에서
일반적으로 병원의 의사들은 눈으로 전립선 영상을 보고 수동으로 전립선과 배경의 경계를 구분하였다. 그러나 자르는 과정은 너무 많은 시간을 소모하고 의사에 따라 다양한 경계가 추출되었다. 이런 문제를 줄이기 위해 자동 추출방식이 필요하게 되었지만, 경계의 정확한 추출은 작은 잡음이나 옅은 경계로 인하여 상당히 어려운 일이다. 지금까지 SVM, SIFT, 가버 텍스처 필터, 뱀형상 윤곽선 방법, 평균형상모델들과 같은 연구가 진행되었다. 게다가, 2차원뿐만 3차원 영상, CT나 MRI 등에 관한 연구도 하지만 아직까지 인간 전문가가 가진 경험을 뛰어 넘는 기술은 개발되지 않았으며, 추가적인 연구를 필요로 하고 있다. 이에 본 논문에서는 영상의 평균적인 분포와 질감 특징을 예축하여 추출하는 방법을 제안한다. 실험 결과, 의사의 추출 방법과 유사한 얻을 수 있었다. Generally, the doctors manually delineated prostate boundary seeing...
Abstract Purpose: Li-Fraumeni syndrome (LFS) is a rare autosomal dominant hereditary disorder caused by germline mutation in the TP53 gene. Because of rarity disease, there were limited data on types mutation, clinical features and treatment outcomes. The aim this study to evaluate characteristics prognosis Korean patients with gene mutation. Methods: Patients who underwent genetic counseling confirmed National Cancer Center Korea between 2011 2022 reviewed retrospectively. Data family...
Protein microarray를 이용한 APin-단백질의 상호작용에 관한 연구 microarray or protein chips is potentially powerful tools for analysis of protein-protein interac- tions. APin cDNA was previously identified and cloned from a rat odontoblast library. The purpose this study to investigate the APin-protein interactions during ameloblast differentiation. carried with recombinant MEF2, Aurora kinase A, BMPR-IB EF- hand calcium binding were selected among 74 interacting proteins. Immortalized cells (ALCs)...