• 제목/요약/키워드: Standard classifications

검색결과 91건 처리시간 0.023초

국내 운반형인공호흡기 안전성 확보를 위한 분류체계 및 평가기준 제안 (A Proposal for a Classification System and Evaluation Standards for Ensuring the Safety of Transport Ventilator in Korea)

  • 김지현;조성구
    • 보건의료산업학회지
    • /
    • 제11권4호
    • /
    • pp.189-202
    • /
    • 2017
  • Objectives : This study aims to present a new classification system using evaluation standards to ensure the safety of transport ventilators used in Korea. Due to the rapid advancement of technology, various types of ventilators have been developed and as the range of application increases, so does demand. With quick access to information and a growing economy, the technology used in Korean hospitals is equivalent to that of other countries; however, regulatory and safety consciousness are still lagging in Korea. Methods : Based on researching overseas cases, reference data and standards for improving the current system in Korea are proposed. Results : According to the review of transport ventilator use in Korea, it was found that concerns about safety is due to the absence of a standardized classification system for evaluating the safety and effectiveness of transport ventilators. Conclusions : In order to improve the safety of patients and the quality of medical care, it is essential to establish guidelines and assessment standards guaranteeing the safety of transport ventilators in Korea. Clear definitions and classifications for devices must precede the application of such standards. In addition, effective evaluation standards should be developed in order to resolve problems and improve upon the current system through continuous validation.

Ground support performance in deep underground mine with large anisotropic deformation using calibrated numerical simulation (case of mine-H)

  • Hu, Bo;Sharifzadeh, Mostafa;Feng, Xia-Ting;Talebi, Roo;Lou, Jin-Fu
    • Geomechanics and Engineering
    • /
    • 제21권6호
    • /
    • pp.551-564
    • /
    • 2020
  • High-stress and complex geological conditions impose great challenges to maintain excavation stability during deep underground mining. In this research, large anisotropic deformation and its management by support system at a deep underground mine in Western Australia were simulated through three-dimensional finite-difference model. The ubiquitous-joint model was used and calibrated in FLAC3D to reproduce the deformation and failure characteristics of the excavation based on the field monitoring results. After modeling verification, the roles of mining depth also the intercept angle between excavation axis and foliation orientation on the deformation and damage were studied. Based on the results, quantitative relationships between key factors and damage classifications were presented, which can be used as an engineering tool. Subsequently, the performance of support system installation sequences was simulated and compared at four different scenarios. The results show that, first surface support and then reinforcement installation can obtain a better controlling effect. Finally, the influence of bolt spacing and ring spacing were also discussed. The outcomes obtained in this research may play a meaningful reference for facing the challenges in thin-bedded or foliated ground conditions.

DB를 활용한 방제(方劑)의 류방분석(類方分析) 방법 설계 (Plans on the Methodology for the Classifications of Herbal Formulas with Similar Composition using the DB Systems)

  • 김정훈;이병욱
    • 대한한의학원전학회지
    • /
    • 제21권1호
    • /
    • pp.143-151
    • /
    • 2008
  • Objective : Classification of herbal formulas through the analysis of compositional herb's is a suitable method in the aspects of the effective applications of herbal formulas. However, these classification methods have some problems in dealing with lots of herbal formulas because the estimations of herbal formula's effects are dependent upon one's memory. In this study, we aimed to establish the effective methodology to elicit the classified herbal formula's chart by introducing the DB systems without interfering with non-standard terms. Results : We have known that this plan is realized by follow methods. We entered the herbs informations of the composition of herbal formulas into database, made an alias tables of corresponding herbs, and achieved standardization of herb's informations. Using these databases, we made the classified herbal formula's chart according to the presence and the treatment informations of herbs.

  • PDF

Emerging Targets for Systemic Treatment of Gastric Cancer: HER2 and Beyond

  • In-Ho Kim
    • Journal of Gastric Cancer
    • /
    • 제24권1호
    • /
    • pp.29-56
    • /
    • 2024
  • In recent years, remarkable progress has been made in the molecular profiling of gastric cancer. This progress has led to the development of various molecular classifications to uncover subtype-specific dependencies that can be targeted for therapeutic interventions. Human epidermal growth factor receptor 2 (HER2) is a crucial biomarker for advanced gastric cancer. The recent promising results of novel approaches, including combination therapies or newer potent agents such as antibody-drug conjugates, have once again brought attention to anti-HER2 targeted treatments. In HER2-negative diseases, the combination of cytotoxic chemotherapy and programmed cell death-1/programmed cell death ligand-1 (PD-1/PD-L1) inhibitors has become the established standard of care in first-line settings. In the context of gastric cancer, potential biomarkers such as PD-L1 expression, Epstein-Barr virus, microsatellite instability, and tumor mutational burden are being considered for immunotherapy. Recently, promising results have been reported in studies on anti-Claudin18.2 and fibroblast growth factor receptor 2 treatments. Currently, many ongoing trials are aimed at identifying potential targets using novel approaches. Further investigations will be conducted to enhance the progress of these therapies, addressing challenges such as primary and acquired resistance, tumor heterogeneity, and clonal evolution. We believe that these efforts will improve patient prognoses. Herein, we discuss the current evidence of potential targets for systemic treatment, clinical considerations, and future perspectives.

공동주택 실적공사비 산정시 공종별 변동요인에 관한 연구 (A Study on the Change Factors by Activities for Estimating Historical Cost on Apartment Housing Projects)

  • 유용환;이규현;김종원;최인성
    • 한국건축시공학회지
    • /
    • 제4권4호
    • /
    • pp.117-126
    • /
    • 2004
  • Construction industry is faced with the problems such as the quickly changeable circumstance and increasing construction companies due to regulation mollification of company registration. In order to overcome these problems, new estimation system based on historical estimation cost is ready to introduce by government step by step. But the time of transition for estimation system causes another problems such as chaos addition to simultaneity of a standard of estimation system and new estimation system, lack of related regulation, accumulation of historical extensive cost data, and adjustment methodology when historical estimation data is applied to next projects. The purpose of this study is to suggest the change factors by activities for estimating historical cost for apartment housing projects. New estimation system is based on historical construction data. For application of this system, the standard adjustment methodology system is necessary. and extensive cost data should be accumulated under an unified construction work classification system. Therefore in this study, according to the construction work classification system, every apartment housing project was classified to 16 work classifications, and 7 major composed items which occupy more than 85% of construction costs are analyzed by detailed activities and by average ratio and maximum ratio each of them. In the result of the study, furniture work, foundation work and masonry work are the works which have big gap of costs between average ration and maximum ratio. In addition to suggestion of change factor by work species, 5 qualified construction specialists are interviewed and change factors in 7 major works are analyzed.

Multiscale Clustering and Profile Visualization of Malocclusion in Korean Orthodontic Patients : Cluster Analysis of Malocclusion

  • Jeong, Seo-Rin;Kim, Sehyun;Kim, Soo Yong;Lim, Sung-Hoon
    • International Journal of Oral Biology
    • /
    • 제43권2호
    • /
    • pp.101-111
    • /
    • 2018
  • Understanding the classification of malocclusion is a crucial issue in Orthodontics. It can also help us to diagnose, treat, and understand malocclusion to establish a standard for definite class of patients. Principal component analysis (PCA) and k-means algorithms have been emerging as data analytic methods for cephalometric measurements, due to their intuitive concepts and application potentials. This study analyzed the macro- and meso-scale classification structure and feature basis vectors of 1020 (415 male, 605 female; mean age, 25 years) orthodontic patients using statistical preprocessing, PCA, random matrix theory (RMT) and k-means algorithms. RMT results show that 7 principal components (PCs) are significant standard in the extraction of features. Using k-means algorithms, 3 and 6 clusters were identified and the axes of PC1~3 were determined to be significant for patient classification. Macro-scale classification denotes skeletal Class I, II, III and PC1 means anteroposterior discrepancy of the maxilla and mandible and mandibular position. PC2 and PC3 means vertical pattern and maxillary position respectively; they played significant roles in the meso-scale classification. In conclusion, the typical patient profile (TPP) of each class showed that the data-based classification corresponds with the clinical classification of orthodontic patients. This data-based study can provide insight into the development of new diagnostic classifications.

XMDR을 이용한 지능형 검색 온톨로지 서버 구축 (A Construction of an Ontology Server based Intelligent Retrieval using XMDR)

  • 황치곤;정계동
    • 한국통신학회논문지
    • /
    • 제30권8B호
    • /
    • pp.549-561
    • /
    • 2005
  • 인터넷 기술과 통신망 기술이 발전됨에 따라 전자상거래는 복잡하고 다양해지고 있다. 본 논문에서는 이기종 데이터베이스 시스템들 간의 메타데이터 및 데이터 교환을 위해 W3C에서 제안한 XML Schema를 사용하고, XML Schema는 관계형 데이터베이스 시스템의 메타데이터 및 데이터를 계층적 구조인 XML 문서형식으로 나타낼 수 있고, 다양한 원시 데이터 형식을 지원하여 관계형 데이터베이스 시스템이 제공하는 데이터형식을 충분히 반영할 수 있는 구조를 사용한다. 그리고 기존 전자상거래에서는 이질적인 플랫폼을 사용함으로 인해 발생하는 시스템간의 상호 호환 및 운영의 어려움이 있다. 이러한 문제를 해결하기 위해 상품 분류와 속성표현의 표준과 관계성을 정의한 표준 온톨로지와 상품들에 대한 전자상거래 사이트의 정보를 제공하는 로케이션 온톨로지를 구축한다. 이 온톨로지 정보를 검색시스템에 적용하여 고객의 선택에 필요한 정보를 제공함으로서 효율적인 검색을 수행한다. 이러한 온톨로지와 상품 분류 카테고리 정보를 결합하여 XMDR이라 하고, 이 XMDR을 상품 검색 시스템에 도입하여 효율적인 검색을 수행하기 위한 은톨로지 서버 구축에 관한 방법을 제안한다.

Classifying Social Media Users' Stance: Exploring Diverse Feature Sets Using Machine Learning Algorithms

  • Kashif Ayyub;Muhammad Wasif Nisar;Ehsan Ullah Munir;Muhammad Ramzan
    • International Journal of Computer Science & Network Security
    • /
    • 제24권2호
    • /
    • pp.79-88
    • /
    • 2024
  • The use of the social media has become part of our daily life activities. The social web channels provide the content generation facility to its users who can share their views, opinions and experiences towards certain topics. The researchers are using the social media content for various research areas. Sentiment analysis, one of the most active research areas in last decade, is the process to extract reviews, opinions and sentiments of people. Sentiment analysis is applied in diverse sub-areas such as subjectivity analysis, polarity detection, and emotion detection. Stance classification has emerged as a new and interesting research area as it aims to determine whether the content writer is in favor, against or neutral towards the target topic or issue. Stance classification is significant as it has many research applications like rumor stance classifications, stance classification towards public forums, claim stance classification, neural attention stance classification, online debate stance classification, dialogic properties stance classification etc. This research study explores different feature sets such as lexical, sentiment-specific, dialog-based which have been extracted using the standard datasets in the relevant area. Supervised learning approaches of generative algorithms such as Naïve Bayes and discriminative machine learning algorithms such as Support Vector Machine, Naïve Bayes, Decision Tree and k-Nearest Neighbor have been applied and then ensemble-based algorithms like Random Forest and AdaBoost have been applied. The empirical based results have been evaluated using the standard performance measures of Accuracy, Precision, Recall, and F-measures.

국내산업 특수분류방법을 고려한 보안산업 분류방향 연구 (A Study on the Method of Security Industrial Classification through the Review of Industrial Special Classification)

  • 신은희;장항배
    • 한국전자거래학회지
    • /
    • 제22권4호
    • /
    • pp.175-191
    • /
    • 2017
  • 보안산업의 성장 및 산업간 영향 등을 평가하기 위한 경제적 통계 작성의 기본은 보안산업 범위의 설정과 함께 표준화된 산업분류를 작성하는 것으로 시작된다. 산업분류는 국제 및 국내의 표준화된 표준산업분류기준을 준수하고 이와 연계되도록 작성되어야 한다. 현재 보안과 관련된 제품과 서비스 분류, 기술 분류는 물론 정보보안, 물리보안, 융합보안의 대표적 분류들은, 산출물을 위한 생산 활동의 특성을 기본으로 하는 산업분류의 기준과 부합하지 않고, 다수의 융합보안 산업분류 연구 결과 역시 수요자 중심의 분류로 현재 국가에서 통계, 법, 정책 집행 등에서 공식적으로 사용하는 공급자 중심 분류와는 차이가 있다. 본 연구에서는 이를 위해 우리나라 및 국제적인 산업분류의 기준을 정리한 후 현재 보안에 대한 분류들이 이러한 기준에 부합한지를 우선 살펴보았다. 다음으로 보안산업과 같이 새롭게 형성되는 산업들의 분류 방향을 보기 위해 일부 국내 산업 특수분류 사례들과 유형을 검토한 후 이를 토대로 보안산업의 산업분류 기준 및 작성 방향에 대해 제안하였다.

철도시설물 유지보수 효율화를 위한 선로등급 산정에 관한 연구 (A Study on Line Classification for Efficient Maintenance of Railway Infrastructure)

  • 김인겸;이준석;최일윤;이지하
    • 한국철도학회논문집
    • /
    • 제19권5호
    • /
    • pp.672-684
    • /
    • 2016
  • UIC Code 714R 및 715R의 규정은 열차 통과톤수에 따른 선로 등급을 산정하고 이를 기반으로 유지보수 전략 및 의사결정에 사용할 수 있는 관련 수식 및 적용방법을 제시하고 있으나, 아직까지 국내 철도노선에 대해서는 이 규정을 기반으로 한 선로등급 체계가 고려된 바 없다. 따라서, 본 연구에서는 UIC, 독일, 영국 등의 선로등급 산정기준을 조사한 후, 환산 통과톤수를 적용하는 UIC 기준에 따라 국내 주요 철도노선에 대한 선로등급을 제시하고 유럽의 선로등급과 비교 분석하였다. 이 결과, 제시한 국내 선로등급별 비율은 유럽 주요국의 선로등급별 비율과 유사한 경향을 보였으며, 통과톤수 산정이 가능한 선로 중 고속선을 포함한 1등급 621.5km, 2등급 155km, 3등급 273km, 4등급 673.8km, 5등급 571.3km, 6등급 122.3km 등으로 나타났다. 선로등급 산정 결과는 철도시설의 등급별 유지보수를 위한 기초자료로 활용될 수 있으며, 향후 신뢰성 기반 유지보수체계 적용시 대상노선을 선정하기 위한 주요변수로 활용될 예정이다.