• 제목/요약/키워드: Diagnostic Information

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진단방사선부서 업무전산화에 대한 연구 (A Study for Computerization of Work of Diagnostic Radiology Department)

  • 이경성
    • 대한방사선기술학회지:방사선기술과학
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    • 제10권1호
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    • pp.91-104
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    • 1987
  • Computerization for the work of diagnostic radiology department is needed to manage the department efficiently, to deal with the information increasing gradually, and to provide qualified care for patients. There is few computerized management system for diagnostic radiology department in our country. Foreign systems were developed commercially and academically, but almost failed to meet the needs of demands. So in this paper, to help the exploitation of soft ware suitable for the information system of diagnostic radiology department of our country; 1) foreign systems were introduced. 2) Data flow of diagnositc radiology department was analysised by SSA method. 3) Composition of computer system centered on the functions of terminals was presented.

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Enteral MRI contrast media를 이용한 여성골반 자기공명영상의 유용성 (A Study on Utility of Magnetic Resonance Imaging for Female Pelvic Cavity using Enteral MRI Contrast Media)

  • 김함겸
    • 대한방사선기술학회지:방사선기술과학
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    • 제20권1호
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    • pp.29-34
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    • 1997
  • For radiological test in soft tissue or neighboring part with same signal intensity, proper test method and equipment shall be selected as needed. In case of female pelvic cavity, ultrasonography or computed tomography alternatively used, but MRI can be more usefully applied to design treatment method or operation plan by improving the diagnostic accuracy and careful observation of lesion characteristics. Magnetic Resonance Imaging using recently developed Enteral MRI contrast media can acquire more diagnostic information than using only intravenous contrast media. Thus this study attempted to examine the utility of anatomic structure and diagnostic acquisition by imaging the female pelvic cavity using Enteral MRI contrast media. As a result of analyzing magnetic resonance Imaging after administering Enteral MRI contrast media to pelvic cavity suspect patients, more diagnostic information media could be acquired than only using Intravenous contrast. Expecially, in the diagnosis of lesion position, shape, distinction from neighboring tissues it is thought that external Enteral MRI contrast media should be used.

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Intelligent Data Reduction Algorithm for Sensor Network based Fault Diagnostic System

  • Youk, Yui-Su;Kim, Sung-Ho;Joo, Young-Hoon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제9권4호
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    • pp.301-308
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    • 2009
  • In the modern life, machines are used for various areas in industries as the advance of science and industrial development has proceeded. In many machines, the rotating machines play an important role in many processes. Therefore, the development of fault diagnosis and monitoring system for rotating machines is required. An ubiquitous sensor network (USN) is a combination of the key computer science and engineering area technology including the wireless network, embedded system hardware and software, communication, real-time system, etc. It collects environmental information to realize a variety of functions. In this work, a data reduction algorithm for USN based remote fault diagnostic system which can be easily applied to previously built factories is proposed. To verify the feasibility of the proposed scheme, some simulations and experiments are executed.

Remote Fault Diagnosis Method of Wind Power Generation Equipment Based on Internet of Things

  • Bing, Chen;Ding, Liu
    • Journal of Information Processing Systems
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    • 제18권6호
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    • pp.822-829
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    • 2022
  • According to existing study into the remote fault diagnosis procedure, the current diagnostic approach has an imperfect decision model, which only supports communication in a close distance. An Internet of Things (IoT)-based remote fault diagnostic approach for wind power equipment is created to address this issue and expand the communication distance of fault diagnosis. Specifically, a decision model for active power coordination is built with the mechanical energy storage of power generation equipment with a remote diagnosis mode set by decision tree algorithms. These models help calculate the failure frequency of bearings in power generation equipment, summarize the characteristics of failure types and detect the operation status of wind power equipment through IoT. In addition, they can also generate the point inspection data and evaluate the equipment status. The findings demonstrate that the average communication distances of the designed remote diagnosis method and the other two remote diagnosis methods are 587.46 m, 435.61 m, and 454.32 m, respectively, indicating its application value.

퍼지개념을 이용한 고성능 고장진단 시스템의 설계 (Design of High Efficient Fault Diagnostic System by Using Fuzzy Concept)

  • 이쌍윤;김성호;권오신;주영훈
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1997년도 추계학술대회 학술발표 논문집
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    • pp.247-251
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    • 1997
  • FCM(Fuzzy Cognitive Map) is a fuzzy signed directed graph for representing causal reasoning which has fuzziness between causal concepts. Authors have already proposed FCM-based fault diagnostic scheme and verified its usefulness. However, the previously proposed scheme has the problem of lower diagnostic resolution as in the case of other qualitative approaches. In order to improve the diagnostic resolution, a concept of fuzzy number is introduced into the basic FCM-based fault diagnostic algorithm. By incorporation the fuzzy number into fault FCM models, quantitative information such as the transfer gain between the state variables can be effectively utilized for better diagnostic resolution. Furthermore, an enhanced TAM(Temporal Associative Memory) recall procedure and modified and modified pattern matching scheme are also proposed.

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Remote Measurement for ECU Self Diagnostic Signals

  • Lee, Seong-Cheol;Jeong, Jin-Ho;Yun, Yeo-Hung;Lee, Young-Chun;Kwon, Tae-Kyu
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2001년도 ICCAS
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    • pp.130.6-130
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    • 2001
  • On-Board diagnostic systems are installed in passenger cars and light trucks on today. During the 1970's and early 1980's manufacturers started using electronic means to control engine functions and diagnose engine problems. This wa primarily to meet EPA emission standards. The CARB requires that, by model year 1996, all vehicle sold in California contain a certain minimum "On-Board Diagnostic" capability to diagnose emissions-related failures of the engine control system. These diagnostic requirements have been designated as OBD with a goal of monitoring all of the emissions-related components on-board the vehicle for proper operation. Part of the intent of CARB´s OBD program is that a single diagnostic tester can be used to read the diagnostic information from any OBD-compliant vehicle. A tester which ...

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A Study on the Development of Robust Fault Diagnostic System Based on Neuro-Fuzzy Scheme

  • Kim, Sung-Ho;Lee, S-Sang-Yoon
    • Transactions on Control, Automation and Systems Engineering
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    • 제1권1호
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    • pp.54-61
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    • 1999
  • FCM(Fuzzy Cognitive Map) is proposed for representing causal reasoning. Its structure allows systematic causal reasoning through a forward inference. By using the FCM, authors have proposed FCM-based fault diagnostic algorithm. However, it can offer multiple interpretations for a single fault. In process engineering, as experience accumulated, some form of quantitative process knowledge is available. If this information can be integrated into the FCM-based fault diagnosis, the diagnostic resolution can be further improved. The purpose of this paper is to propose an enhanced FCM-based fault diagnostic scheme. Firstly, the membership function of fuzzy set theory is used to integrate quantitative knowledge into the FCM-based diagnostic scheme. Secondly, modified TAM recall procedure is proposed. Considering that the integration of quantitative knowledge into FCM-based diagnosis requires a great deal of engineering efforts, thirdly, an automated procedure for fusing the quantitative knowledge into FCM-based diagnosis is proposed by utilizing self-learning feature of neural network. Finally, the proposed diagnostic scheme has been tested by simulation on the two-tank system.

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다채널 무선 통신망을 이용한 배전용 변압기 진단 기법에 관한 연구 (A Study on the Diagnostic Technique for Distribution Transformers using Multi-Channel Wireless Communication Network)

  • 김재철;최준호;김동현;문종필;김언석
    • 대한전기학회논문지:전력기술부문A
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    • 제50권3호
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    • pp.131-139
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    • 2001
  • As increasing the accident of Distribution Transformer (DT), we need to manage them efficiently. In this paper, we discusses with the possibility of the diagnostic technique for distribution transformer using relative ageing rate calculation in this paper. The relative ageing rate of the DT could be calculated from the measured top oil temperature, ambient temperature and load current. In order on apply the proposed diagnostic technique we developed an on line Monitoring and Diagnostic System (MDS) which has hardware and software part. Diagnostic device is developed to measure the state information of DT and to send them with R/F(radio frequency) communication. Host computer monitors and saves the receive data. The database is constructed from the data of distributed DT and it is used for estimating loss-of-life in the MDS.

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PDA 기반의 차량 진단신호의 원격 계측 (Remote Measurement for Automobile′s ECU Diagnostic Signals based on the PDA)

  • 윤여흥;서지원;이현호;권대규;이영춘
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2002년도 춘계학술대회 논문집
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    • pp.279-282
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    • 2002
  • In this paper, we present a new method for monitoring of ECU's self diagnostic signals of vehicle without wire. In order to measure the ECU's self diagnostic signals, the interfaced circuit is designed to communicate ECU and a designed display terminal according to the ISO, SAE regulation of communication protocol standard. A 80C196KC processor is used for communicating ECU's self diagnostic signals and the results are sent to PDA monitoring system. Software on PDA is developed to monitor the ECU's self diagnostic signals using the Embedded Visual C++ compiler in which RS232 port is programmed by half duplex method. The algorithms for measuring the ECU's self diagnostic signals are verified to monitor ECU's state. At the same time, the information to fix the vehicle's problem can be shown on the developed PDA software. The possibility for remote measurement of ECU self diagnostic signal using PDA is also verified through the developed systems and algorithms.

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자기공명(M.R.)진단법의 특징 및 그 영상기전의 이해 (Characteristics of Magnetic Resonance(M.R.) and Comprehension of its Imaging Mechanism)

  • 장재천;황미수;김선용
    • Journal of Yeungnam Medical Science
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    • 제4권1호
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    • pp.1-15
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    • 1987
  • Magnetic Resonance (M.R.) is rapidly emerging technique that provides high quality images and potentially provides much more diagnostic information than do conventional imaging modalities. M.R.I. is conceptually quite different from currently used imaging methods. The complex nature of M.R.I. allows a great deal of flexibility in image product ion and available information, and key points are as follows. 1. M.R.I. offers a non-invasive technique with which to gene rate in vivo human images without ionizing radiation and with no known adverse biological effects. 2. Imaging mechanism of M.R.I. is quite different from conventional imaging modality and for more accurate diagnostic application, It is necessary for physician to understand imaging mechanism of M.R.I. 3. M.R. makes available basic chemical parameters that may provide to be useful for diagnostic medical imaging and more specific pathophysiologic information which are not available by alternate techniques. 4. M.R. can be produced by number of different methods. This flexibility allows the imaging technique to be applicated for particular clinical purpose. Multiplanar and three dimensional imaging may extend the imaging process beyond the single section available with current CT. 5. Future directions include efforts to; a. Further development of hard ware b. More fasternning scan time c. Respiratory and cardiac gated imaging d. Imaging of additional nuclei except hydrogen e. Further development of contrast media f. M.R. in vivo spectroscopy g. Real time M.R. imaging.

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