• 제목/요약/키워드: Self-diagnosis

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RFID를 이용한 헬스케어 자가진단 지능형시스템 구현 (Implementation of the Intelligent System using RFID for HealthCare Self-Diagnosis)

  • 손희배;김민수;이영철
    • 한국지능시스템학회논문지
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    • 제20권1호
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    • pp.146-152
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    • 2010
  • 본 논문에서는 RFID를 이용하여 사용자를 인식한 후 사용자의 생체신호(혈압, 혈당, 체지방)를 측정하여 자가진단을 할 수 있는 지능형 헬스케어 시스템을 구현하였다. 구현한 헬스케어 자가진단 지능형 시스템은 RFID리더기, 생체신호측정기(혈압계, 혈당계, 체지방측정기), 데이터베이스 서버역할을 하는 컴퓨터, 자가진단 결과를 출력하는 프린터로 구성된 키오스크형태로 이루어졌으며 데이터베이스에서 보유한 사용자 정보 및 측정된 정보 데이터를 비교분석한 후 사용자의 건강상태를 자가진단할 수 있다. 구현된 시스템은 병원에 가지 않더라도 간단히 자가진단을 할 수 있으며, 회사나 학교 등에서 응용할 수 있다.

사상체질진단 방법론 연구 (Study on Methods for Sasang Constituion Diagnosis)

  • 김종원;이의주;김규곤;김종열;이용태
    • 동의생리병리학회지
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    • 제19권6호
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    • pp.1471-1474
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    • 2005
  • Sasang constitution medicine is to do different treatment accordining to sasang constitution. Therefore, the constitution diagnosis in the Sasang constitution medicine is very important thing. The Process of Sasang constitution diagnosis Is difficult thing, because of consuming much time, making every effort. It is apt to be subjective tendency. So it need to make objective method. The QSCC II (Questionnaire of Sasang Constitution Classification II ) have several problems- can't do diagnosis of Taeyangin, the accuracy rate of Sasang constitution diagnosis is not high (probably 60%), and so on. So, we need the new methods for the Sasang constitution Diagnosis. We will modify the problems of QSCC II. The First is the problems of the study execution process, not-multicenter study, a low data, the absent of Taeyangin cases. So, we have to do the multicenter study. The Second is the problems of a query and the method of statistics analysis. We will modify the problems of self-report Questionnaire. That is the problems of self-report Questionnaire, the lack of objective estimation( body type, personal appearance, etc), the absent of the estimation on typical or non-typical type constitution. We modified the problems of QSCC II. Therefore we made the new self-report Questionnaire for patients. We modified the problems of self-report Questionnaire. Therefore we made the new Constituion diagnosis Questionnaire for doctors. We develop the Questionnaire of two ways for the Sasang constitution Diagnosis. The one is the new self-report Questionnaire for patients. The other is the new Constitution diagnosis Questionnaire for doctors. We have to melt down the Questionnaire of two ways for the Sasang constitution Diagnosis.

탄소섬유 분말 혼입 모르타르 복합 구조체의 파괴예측 자가진단 특성 (Self-Diagnosis Property of Fracture in Carbon Fiber Composite Mortar)

  • 박석균
    • 한국구조물진단유지관리공학회 논문집
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    • 제11권1호
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    • pp.113-120
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    • 2007
  • 새로운 재료의 적용 실험을 통하여, 탄소섬유 분말 혼입 모르타르 복합 구조체의 파괴예측 자가진단 적용 특성에 대해 검토하였다. 본 연구에서는 자가진단 성능을 부여하기 위해 코크스와 탄소섬유분말(미분쇄 탄소섬유)이 혼입된 전도성 모르타르의 개발 및 자가진단 재료로서의 사용이 제안되었다. 각 하중재하단계에서의 균열발생 전후의 전기저항값과 AE특성치의 변화특성 시험을 통해, 이들 각 인자의 상호 연관성을 검토하였다. 그 결과, 코크스와 탄소섬유분말(미분쇄 탄소섬유)을 사용하여 새롭게 제안된 복합재료는 모르타르 시험체의 파괴 자가진단에 사용이 가능함을 알 수 있었다.

Roy's Adaptation Model에 의한 모성영역에서의 간호진단 확인연구 (A Study for Identification of Nursing Diagnosis using the Roy's Adaptation Model in Maternity Unit)

  • 조정호
    • 대한간호
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    • 제33권3호
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    • pp.79-91
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    • 1994
  • The purpose of this study was to identify the meaningful nursing diagnosis in maternity unit and to suggest formally the basal data to the nursing service with scientific approach. The subject for this paper were 64 patients who admitted to Chung Ang University Hospital, Located in Seoul, from Mar. 10, to July 21, 1993. The results were as follows: 1. The number of nursing diagnosis from 64 patients were 892 and average number of nursing diagnosis per patient was 13.9. 2. Applying the division of nursing diagnosis to Roy's Adaptation Model, determined nursing diagnosis from the 64 patients were 621 (69.6%) in physiological adaptation mode and (Comfort, altered r/t), (Injury, potential for r/t), (Infection, potential for r/t), (Bowel elimination, altered patterns r/t), (Breathing pattern, ineffective r/t), (Nutrition, altered r/t less than body requirement) in order, and 139 (15.6%) in role function mode, (Self care deficit r/t), (Knowledge deficit r/t), (Mobility, impaired physical r/t) in order, 122 (13.7%) in interdependence adaptation mode, (Anxiety r/t), (Family Process, altered r/t) in order, 10(1.1%) in self concept adaptation mode, (Powerlessness r/t), (Grieving, dysfunctional r/t) in order. 3. Nursing diagnosis in maternity unit by the medical diagnosis, the average hospital dates were 3.8 days in normal delivery and majority of used nursing diagnosis, (Comfort, altered r/t) 64.6%, (Self care deficit r/t) 13.6% in order, and the average hospital dates were 9.6 days in cesarean section delivery and majority of used nursing diagnosis, (Comfort, altered r/t) 51.6%, (Self care deficit r/t) 15.2%, (Infection, potential for r/t) 9.9%, (Injury, potential "for r/t) 8.1%, (Anxiety r/t) 5.0%, (Mobility, impaired physical r/t) 3.3% in order, and the average hospital dates were 15.8days in preterm labor and majority of used nursing diagnosis, (Comfort, altered r/ t), (Anxiety r/t), (Injury, potential for r/t) in order, and the average short-term hospital dates were 2.5days, long-term hospital dates were 11.5days in gynecologic diseases and majority of used nursing diagnosis, (Comfort, altered r/t). (Self care deficit r/t), (Injury, potential for r/t), (Infection, potential for r/t) in order.

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대용량 로그 데이터 처리를 위한 분산 실시간 자가 진단 시스템 (A Distributed Real-time Self-Diagnosis System for Processing Large Amounts of Log Data)

  • 손시운;김다솔;문양세;최형진
    • 데이타베이스연구회지:데이타베이스연구
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    • 제34권3호
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    • pp.58-68
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    • 2018
  • 분산 컴퓨팅이란 다수의 서버로 구성된 분산 시스템에서 데이터를 효율적으로 저장 및 처리하는 기술이다. 따라서 분산 시스템을 구성하는 서버의 상태에 따라 분산 컴퓨팅의 성능에 큰 영향을 미친다. 본 논문은 분산 시스템에서 실시간으로 발생하는 시스템 자원의 로그 데이터를 수집하고 이상을 탐지하여 결과를 시각화하는 자가 진단 시스템을 제안한다. 먼저, 자가 진단 과정을 수집, 전달, 분석, 저장, 시각화의 다섯 단계로 구분한다. 다음으로, 자가 진단 과정이 실시간성, 확장성, 고가용성의 목표를 만족하도록 실시간 자가 진단 시스템을 설계한다. 본 시스템은 대표적인 실시간 분산 기술인 Apache Flume, Apache Kafka, Apache Storm을 기반으로 구현되어 실시간성, 확장성, 고가용성의 세 가지 목표를 만족할 수 있다. 또한, 자가 진단 과정에서 로그 데이터 처리의 지연을 최소화하도록 간단하지만 효과적인 이동 평균 및 3-시그마 기반 이상 탐지 기법을 사용한다. 본 논문의 결과를 통해, 분산 시스템 내에서 서버 상태를 실시간으로 진단할 수 있는 분산 실시간 자가 진단 시스템을 구축할 수 있다.

이동통신망 자가 치유를 위한 기계학습 연구동향 (Research Status on Machine Learning for Self-Healing of Mobile Communication Network)

  • 권동승;나지현
    • 전자통신동향분석
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    • 제35권5호
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    • pp.30-42
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    • 2020
  • Unlike in previous generations of mobile technology, machine learning (ML)-based self-healing research trend are currently attracting attention to provide high-quality, effective, and low-cost 5G services that need to operate in the HetNets scenario where various wireless transmission technologies are added. Self-healing plays a vital role in detecting and mitigating the faults, and confirming that there is still room for improvement. We analyzed the research trend in self-healing framework and ML-based fault detection, fault diagnosis, and fault compensation. We propose that to ensure that self-healing is a proactive instead of being reactive, we have to design an ML-based self-healing framework and select a suitable ML algorithm for fault detection, diagnosis, and outage compensation.

PLC 자체 고장진단과 그의 외부 소자의 고장 진단 시스템 개발에 관한 연구 (A Study on Development of Fault diagnosis system for PLC self-diagnostics and its external devices)

  • 허윤기;변중남
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1996년도 하계학술대회 논문집 B
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    • pp.1189-1192
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    • 1996
  • In this paper, a fault diagnosis method is proposed for self-diagnostics of PLC(Programmable Logic Controller), process controller in industrial fields, and diagnosis of its external devices such as sensors and actuators. The aim of this research is proposition of systematic method of fault diagnosis of PLC control system and development of its equipment. A PLC fault diagnosis algorithm consists of self-diagnostics given by PLC makers, Inpuot/Output tracking method by analyzing sequence PLC programs, searching method of past fault cases in database using an expert system, and diagnosis of PLC units such as CPU, DI, and DO board. Finally usability of PLC fault diagnostic system is verified by testing a MELSEC PLC.

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형식개념분석을 활용한 인터넷중독 자가진단 (An Internet Addiction Self-Diagnosis Technique based on Formal Concept Analysis (FCA))

  • 강유경;이현;박정호
    • 컴퓨터교육학회논문지
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    • 제16권5호
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    • pp.39-47
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    • 2013
  • 자기 통제력이 약한 청소년의 경우, 감각 추구 성향 및 현실탈출의 대안으로 인터넷을 사용하다 인터넷중독에 빠지는 경우가 많다. 이러한 인터넷중독 문제점을 해결하기 위해, 인터넷중독 척도 기준에 따른 인터넷 자가진단 기법이 개발되어 사용되고 있다. 하지만 기존의 방식들은 중복적인 척도기준과 설문지 형식의 진단방식을 이용하고 있어, 체계적으로 중독의 상관성 및 환경의 영향성을 평가하고 있지 못하고 있다. 따라서 본 논문에서는 보다 체계적인 인터넷중독 자가진단을 위하여 새로운 형식개념분석 기법을 활용한 인터넷중독 자가진단 기법을 제안하고 자가진단 시스템으로 구현하고자 한다. 또한 가정환경, 가족과의 관계, 교우관계, 학교생활 등 다양한 관점 기반의 분석을 통해 측정된 데이터의 상관성을 분석하고자 한다.

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공공기관의 대국민 서비스 효율성 제고를 위한 프로세스 기반 자가진단 방법론 개발 (Development of Self-Diagnosis Methodology Based on Process for Improving the Effectiveness in Public Institutions Service)

  • 김창희;이상훈;김수욱
    • 한국경영과학회지
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    • 제40권1호
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    • pp.171-184
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    • 2015
  • The purpose of this study is to develop the self-diagnosis methodology based on process for improving the effectiveness in public institutions service and to suggest it. For this goal, we would like to select the management methodology which can be easily handled from the viewpoint of working personnel in the public institutions and make it as a process. First, the strategy for the public institutions and the strategic task for practicing it are acquired using BSC (Balanced Score Card) which is now under the active research. At this time, the relative degree of significance is derived using the AHP (Analytic Hierarchy Process) which is conducted for the professionals and management to get the degree of importance in the strategic tasks. The acquired relative degree of significance and the figures related to the performance of each strategic task derived from the subsequent questionnaire are used to get the final highly efficient strategic task through IPA (Importance Performance Analysis). In this study, this process based self diagnosis methodology will be explained in detail using the case of Project A in order to verify the effectiveness of the management science technique on the self diagnosis of the public institutions.

농업경영체의 브랜드 자가진단을 위한 평가지표 개발 (A Study on the Developement of Evaluation Indicator for Brand Self-diagnosis of Agricultural Management Organizations)

  • 최돈우;안욱현;임청룡
    • 농촌지도와개발
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    • 제22권4호
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    • pp.385-393
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    • 2015
  • This study is to develop evaluation indicator for brand self-diagnosis of agricultural management organizations and analyze importance weight to be used in the field. Self-diagnosis evaluation indicator of brand equity of agricultural management organizations were selected by brainstorming of brand specialists. As a result, six evaluation indicator of communication, organization, responsiveness, clarity, customer relations and quality control were selected. Importance weight of self-diagnosis evaluation indicator of brand equity of agricultural management organizations was analyzed by AHP(Analytic Hierarchy Process) and Fuzzy AHP. The results of Fuzzy AHP were as follows. Communication for 13.9%, organization for 6.5%, responsiveness for 9.9%, clarity for 7.7%, customer relations for 26.5%, and quality control for 35.5% respectively. In order to enhance brand equity of agricultural management organizations, first, cultivation guidelines should be set up to produce equal quality products among members. Second, quality levels need to be subdivided, brands and packages should be different by level. Third, persistent efforts to find new clients and distributors. Fourth, various efforts to maintain the existing excellent clients and distributors.