• 제목/요약/키워드: Level Diagnosis

검색결과 2,098건 처리시간 0.03초

병원경영자의 병원경영진단 지표에 관한 인식과 요구도 (A Study on the Recognition and Needs of Hospital Management Diagnoses Indicators)

  • 박재우;황병덕
    • 보건의료산업학회지
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    • 제13권3호
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    • pp.1-12
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    • 2019
  • Objectives: The purpose of this study was to provide hospital management diagnosis status and basic data required for the future development of hospital management diagnosis program. Methods: We conducted a questionnaire survey on administrative staff of manager level or over of medical institutions in B metropolitan city. Results: As a result of analyzing the relative influence of the needs by hospital management diagnosis indicator, the effect of financial analysis indicator, patient treatment record indicator and medical revenues indicator were high in the medical institutions with number of beds of 100 beds or over and general hospital level or over both on a hospital level and on an individual level. Conclusions: Since the existing laws or systems are centered on large major hospitals, the management environment is very unfavorable for small and medium hospitals as can be seen from the results of this study. Therefore, the government should improve the transparency and rationality of the hospital management environment in Korea through regulation and system reforms that can be applied to all medical institutions.

발전용 비상디젤발전기 엔진 상태진단 프로그램 개발 연구 (A Study on the Development of EDG Engine Condition Diagnosis Program in Power Plant)

  • 이상국;김대웅
    • 동력기계공학회지
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    • 제19권5호
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    • pp.67-72
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    • 2015
  • The reliable operation of onsite emergency diesel generator(EDG) should be ensured by a conditioning monitoring system designed to maintain, monitor and forecast the reliability level of diesel generator. The purpose of this paper is to develop condition diagnosis algorithm(logic) and analysis program of engine for the accurate diagnosis in actual condition of emergency diesel generator engine. As a result of this study, we confirmed that developed engine condition diagnosis algorithm and analysis program could be efficiently applied for actual EDG engine in nuclear power plant.

A Deep Learning Part-diagnosis Platform(DLPP) based on an In-vehicle On-board gateway for an Autonomous Vehicle

  • Kim, KyungDeuk;Son, SuRak;Jeong, YiNa;Lee, ByungKwan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제13권8호
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    • pp.4123-4141
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    • 2019
  • Autonomous driving technology is divided into 0~5 levels. Of these, Level 5 is a fully autonomous vehicle that does not require a person to drive at all. The automobile industry has been trying to develop Level 5 to satisfy safety, but commercialization has not yet been achieved. In order to commercialize autonomous unmanned vehicles, there are several problems to be solved for driving safety. To solve one of these, this paper proposes 'A Deep Learning Part-diagnosis Platform(DLPP) based on an In-vehicle On-board gateway for an Autonomous Vehicle' that diagnoses not only the parts of a vehicle and the sensors belonging to the parts, but also the influence upon other parts when a certain fault happens. The DLPP consists of an In-vehicle On-board gateway(IOG) and a Part Self-diagnosis Module(PSM). Though an existing vehicle gateway was used for the translation of messages happening in a vehicle, the IOG not only has the translation function of an existing gateway but also judges whether a fault happened in a sensor or parts by using a Loopback. The payloads which are used to judge a sensor as normal in the IOG is transferred to the PSM for self-diagnosis. The Part Self-diagnosis Module(PSM) diagnoses parts itself by using the payloads transferred from the IOG. Because the PSM is designed based on an LSTM algorithm, it diagnoses a vehicle's fault by considering the correlation between previous diagnosis result and current measured parts data.

그래프 분할을 이용한 시스템 레벨 결함 진단 기법 (System-Level Fault Diagnosis using Graph Partitioning)

  • 전광일;조유근
    • 한국정보과학회논문지:시스템및이론
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    • 제26권12호
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    • pp.1447-1457
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    • 1999
  • 본 논문에서는 일반적인 네트워크에서 적응력 있는(adaptive) 분산형 시스템 레벨 결함 진단을 위한 분할 기법을 제안한다. 적응력 있는 분산형 시스템 레벨 결함 진단 기법에서는 시스템의 형상이 변경될 때마다 시험 할당 알고리즘이 수행되므로 적응력 없는 결함 진단 기법에 비하여 결함 감지를 위한 시험의 갯수를 줄일 수 있다. 기존의 시험 할당 알고리즘들은 전체 시스템을 대상으로 하는 비분할(non-partitioning) 방식을 이용하였는데, 이 기법은 불필요한 과다한 메시지를 생성한다. 본 논문에서는 전체 시스템을 이중 연결 요소(biconnected component) 단위로 분할한 후, 시험 할당은 각 이중 연결 요소 내에서 수행한다. 이중 연결 요소의 관절점(articulation point)의 특성을 이용하여 각 시험 할당에 필요한 노드의 수를 줄임으로서, 비분할 기법들에 비해 초기 시험 할당에 필요한 메시지의 수를 감소시켰다. 또한 결함이 발생한 경우나 복구가 완료된 경우의 시험 재 할당은 직접 영향을 받는 이중 연결 요소내로 국지화(localize) 시켰다. 본 논문의 시스템 레벨 결함 진단 기법의 정확성을 증명하였으며, 기존 비분할 방식의 시스템 레벨 결함 진단 기법과의 성능 분석을 수행하였다.Abstract We propose an adaptive distributed system-level diagnosis using partitioning method in arbitrary network topologies. In an adaptive distributed system-level diagnosis, testing assignment algorithm is performed whenever the system configuration is changed to reduce the number of tests in the system. Existing testing assignment algorithms adopt a non-partitioning approach covering the whole system, so they incur unnecessary extra message traffic and time. In our method, the whole system is partitioned into biconnected components, and testing assignment is performed within each biconnected component. By exploiting the property of an articulation point of a biconnected component, initial testing assignment of our method performs better than non-partitioning approach by reducing the number of nodes involved in testing assignment. It also localizes the testing reassignment caused by system reconfiguration within the related biconnected components. We show that our system-level diagnosis method is correct and analyze the performance of our method compared with the previous non-partitioning ones.

Serum Pleiotrophin Could Be an Early Indicator for Diagnosis and Prognosis of Non-Small Cell Lung Cancer

  • Du, Zi-Yan;Shi, Min-Hua;Ji, Cheng-Hong;Yu, Yong
    • Asian Pacific Journal of Cancer Prevention
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    • 제16권4호
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    • pp.1421-1425
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    • 2015
  • Aims: Pleiotrophin (PTN), an angiogenic factor, is associated with various types of cancer, including lung cancer. Our aim was to investigate the possibility of using serum PTN as an early indicator regarding disease diagnosis, classification and prognosis, for patients with non-small cell lung cancer (NSCLC). Methods: Significant differences among PTN levels in patients with small cell lung cancer (SCLC, n=40), NSCLC (n=136), and control subjects with benign pulmonary lesions (n=21), as well as patients with different pathological subtypes of NSCLC were observed. Results: A serum level of PTN of 300.1 ng/ml, was determined as the cutoff value differentiating lung cancer patients and controls, with a sensitivity and specificity of 78.4% and 66.7%, respectively. Negative correlations between serum PTN level and pathological differentiation level, stage, and survival time were observed in our cohort of patients with NSCLC. In addition, specific elevation of PTN levels in pulmonary tissue in and around NSCLC lesions in comparison to normal pulmonary tissue obtained from the same subjects was also observed (n=2). Conclusion: This study suggests that the serum PTN level of patients with NSCLC could be an early indicator for diagnosis and prognosis. This conclusion should be further assessed in randomized clinical trials.

인지 진단 이론을 활용한 중학교 과학 시험 결과의 분석 (Analysis of Test Result at Secondary Science Using Cognitive Diagnosis theory)

  • 김지영;김수진
    • 한국과학교육학회지
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    • 제29권8호
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    • pp.812-823
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    • 2009
  • 본 연구는 인지 진단 이론을 활용하여 과학 시험 결과를 분석하는 방안을 모색하고자 하는 목적 하에 실시되었다. 중학교 2학년을 대상으로 한 시험 문항을 개발하여 평가를 실시하였고, Fusion Model을 이용하여 시험 결과를 분석하였다. 결과를 분석하기 위해 문항별로 학생들이 문항을 풀기 위해 숙달해야 할 속성을 판별하여 Q 행렬을 작성한 후 분석을 실시하여 속성에 대한 문항 모수의 수렴을 확인하고 학생 전체와 성별, 성취수준별로 숙달한 속성과 그 속성의 개수를 분석하였다. 전통적인 평가가 학생들의 성취도 총점만을 제공하는 반면 인지 진단 이론은 평가에서 측정된 과학적 속성의 숙달 여부에 대한 정보를 제공해 주었다. 여학생은 남학생에 비해 회상하기의 능력이 유의하게 높은 것으로 나타났다. 분석결과 회상하기, 정보 해석하기, 계산하기 설명하기, 종합하기의 5개 속성 중에서 학생들이 가장 많이 숙달한 속성은 정보 해석하기였으며 가장 적게 숙달한 속성은 종합하기였다. 분석 결과 얻어진 프로파일은 교사들에게 학생 개개인의 과학적 능력에 대한 정보를 구체적으로 제공해 줄 수 있으므로 이 결과는 학생들의 과학 학습에 대한 진단과 처방, 추후 학습 지도에 유용한 정보로 활용될 수 있을 것이다.

신경회로망을 이용한 디젤기관의 데이터 이상감지 시스템에 관한 연구 (A Data Fault Detection System for Diesel Engines Using Neural Networks)

  • 천행춘;유영호
    • Journal of Advanced Marine Engineering and Technology
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    • 제26권4호
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    • pp.493-500
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    • 2002
  • The operational data of diesel generator engine is two kinds of data. One is interactive the other is non interactive. We can find the fault information from interactive data measured for every sampling time when the changing rate, direction and status of data are investigated in comparition with those of normal status to diagnose the fault of combustion system. The various data values of combustion system for diesel engine are not proportional to load condition. The criterion to decide the level of data value is not absolute but relative to relational data. This study proposes to compose malfunction diagnosis engine using neural networks to decide that level of data value is out of normal status with the data collected from generator engine of the ship using the commercial data mining tool. This paper investigates the real ship's operational data of diesel generator engine and confirms usefulness of fault detecting through simulations for fault detecting.

A Real-Time Method for the Diagnosis of Multiple Switch Faults in NPC Inverters Based on Output Currents Analysis

  • Abadi, Mohsen Bandar;Mendes, Andre M.S.;Cruz, Sergio M.A.
    • Journal of Power Electronics
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    • 제16권4호
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    • pp.1415-1425
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    • 2016
  • This paper presents a new approach for fault diagnosis in three-level neutral point clamped inverters. The proposed method is based on the average values of the positive and negative parts of normalized output currents. This method is capable of detecting and locating multiple open-circuit faults in the controlled power switches of converters in half of a fundamental period of those currents. The implementation of this diagnostic approach only requires two output currents of the inverter. Therefore, no additional sensors are needed other than the ones already used by the control system of a drive based on this type of converter. Moreover, through the normalization of currents, the diagnosis is independent of the load level of the converter. The performance and effectiveness of the proposed diagnostic technique are validated by experimental results obtained under steady-state and transient conditions.

발전용 증기밸브 누설량 평가에 관한 연구 (Study on Evaluation of the Leak Rate for Steam Valve in Power Plant)

  • 이상국;박종혁;유근배
    • 동력기계공학회지
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    • 제11권1호
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    • pp.45-50
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    • 2007
  • Acoustic emission technology is applied to diagnosis the internal leak and operating conditions of the major valves at nuclear power plants. The purpose of this study is to verify availability of the acoustic emission as in-situ diagnosis method. In this study, acoustic emission tests are performed when the pressurized high temperature steam flowed through gate valve(1st stage reheater valve) and glove valve(main steam dump valve) on the normal size of 4 and 8". The valve internal leak diagnosis system for practical field was designed. The acoustic emission method was applied to the valves at the site, and the background noise was measured for the abnormal plant condition. To improve the reliability, a judgment of leak on the system was used various factors which are AE parameters, trend analysis, signal level analysis and RMS(root mean square) analysis of acoustic signal emitted from the valve operating condition internal leak.

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경부 종괴의 임상 및 병리학적 고찰 (A Clinicopathologic Analysis of Neck Masses)

  • 김정호;오상훈;김상효
    • 대한두경부종양학회지
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    • 제13권1호
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    • pp.51-57
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    • 1997
  • A mass appearing in the anterior or lateral side of neck often can be a diagnostic challenge. Differential diagnosis of the neck mass covers a broad spectrum of diseases and the proper evaluation and management of a neck mass requires an impressive amount of anatomic and pathologic information. Because improper diagnosis and management may convert a potentially curable malignant metastasis into incurable disease, a differential diagnosis must be considered in all patients who present with a neck mass. Authors reviewed 2,148 cases of neck mass who were diagnosed by surgical resection, biopsy or aspiration during the period between October 1982 to December 1993, excluding those with thyroid and parathyroid disease. The evaluated characteristics were age, sex, site of lesion, and pathologic diagnosis. The results were as follows: Of 2,148 cases of neck mass, the overall ratio of benign to malignant tumor was 3 : 1. In 1,603 cases of benign mass lesion, the most common disease was lymphadenitis(non-specific and tuberculosis) showing 53% incidence, the second was salivary gland tumor(13%), and the third was congenital lesion(12%). The minor problems such as lipoma and sebaceous cyst were 21 %. In the age distribution of benign lesion, tuberculous lymphadenitis showed peak incidence in second decade, non-specific lymphadenitis was main disease of childhood, salivary gland tumor was peak in fourth decade, and most of congenital lesions were diagnosed at the age below 15. In 545 malignant tumors, the most common lesion was metastatic cancer to cervical lymph nodes yielding 71 % incidence(head and neck primary 52%, infraclavicular primary 42%, unknown primary 5%), the second common disease was lymphoma(19%), and the third was salivary gland cancer(9%). In the age incidence of malignant tumor, 60% of them developed in the fifth and sixth decade, head and neck primary was more common in the fifth decade than sixth, however lymphoma showed higher incidence in sixth decade. In the analysis of mass location according to lymph node level grouping(I - V), lymphadenitis developed mostly in level V nodes, the next common occurring site was level IV in tuberculous lymphadenitis and level II in non-specific lymphadenitis. The majority of metastatic cancers were found in level IV and III, and common occurring site of lymphoma was in level II and IV. Pathologic diagnosis of neck masses were made by fine needle aspiration cytology 80 cases, incisional biopsy 533 cases, excisional surgery 1,399 cases, and neck dissection 116 cases. For the proper management of neck mass, a proper diagnostic modality should be selected from imaging techniques, cytology, biopsy or neck dissection, with the consideration of patient's age, history and clinical findings. The scapel biopsy could be used freely in the inflammatory disease or inoperable metastatic cancer, but it should be reserved in the curable metastatic cancer or clinically possible malignancy.

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