• 한국정보통신학회:학술대회논문집
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• 한국해양정보통신학회 2009년도 추계학술대회
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• pp.538-541
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• 2009

Increasing of number of people who suffered from long term chronic diseases which required frequent daily health monitoring and body check up in conjunction with the trendy uses of mobile phones and Personal Digital Assistants (PDAs) in various ubiquitous computing had make portable healthcare system a well known application today. A mobile phone based portable healthcare monitoring system with multiple vital signals monitoring ability at real time in WSN and CDMA network is developed. This system carries out real time monitoring and local data analysis process in the mobile phone. Any detection of abnormal health condition and diagnosis at earlier stage will reduce the risk of patient's life. As an extension to the existing model, a pre-diagnosis management system (PDMS) is designed to minimize the time consuming in pre-diagnosis process in the hospital or healthcare center. An alert is sent to the web server at the healthcare center when the patient detects his health is at critical state where the immediate diagnosis is needed. Preparation of diagnosis equipments and arrangement of doctor and nurses at the hospital side can be done earlier before the arrival of patient at the hospital with the help of PDMS. An efficient pre-diagnosis management increases the chances of diseases recovery rate as well.

• International Journal of Automotive Technology
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• 제6권4호
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• pp.341-350
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• 2005

In this study, fault diagnosis and monitoring of serial wound pre-engaged starter motors have been carried out. Starter motors are DC motors that enable internal combustion engine (ICE) to run. In case of breakdown of a starter motor, internal combustion engine can not be worked. Starter motors have vital importance on internal combustion engines. Kohonen network based fault diagnosis system is proposed for fault diagnosis and monitoring of starter motors. A graphical user interface (GUI) software has been developed by using Visual Basic 6.0 for fault diagnosis. Six faults, seen in starter motors, have been diagnosed successfully by using the developed fault diagnosis system. GUI software makes it possible to diagnose the faults in starter motors before they occur by keeping fault records of past occurrences.

• Journal of information and communication convergence engineering
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• 제19권1호
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• pp.29-35
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• 2021

While the population of pet dogs and pet-related markets are increasing, there is no convenient and reliable tool for pet health monitoring for pet owners/caregivers. In this paper, we propose a mobile platform-based pre-diagnosis system that pet owners can use for pre-diagnosis and obtaining information on coping strategies based on their observations of the pet dog's abnormal behavior. The proposed system constructs symptom-disease association databases for 100 frequently observed diseases under veterinarian guidance. Then, we apply the possibilistic fuzzy C-means algorithm to form the "probable disease" set and the "doubtable disease" set from the database. In the experiment, we found that the proposed system found almost all diseases correctly, with an average of 4.5 input symptoms and outputs 1.5 probable and one doubtable disease on average. The utility of this system is to alert the owner's attention to the pet dog's abnormal behavior and obtain an appropriate coping strategy before consult a veterinarian.

• 한국정보통신학회논문지
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• 제25권11호
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• pp.1519-1524
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• 2021

본 논문에서는 퍼지 의사 결정 트리를 이용한 한의학 기반의 건강 사전 진단 시스템을 제안한다. 제안된 퍼지 의사결정 트리 기반 한방 사전 진단 방법은 과거의 데이터를 미리 학습시킨 후에 엔트로피에 따라 경계 값을 계산한 후, 사용자가 여러 증상을 선택하면 선택된 증상에 해당되는 상위 질병 5개를 도출한다. 그리고 도출된 상위 5개의 질병과 도출된 질병의 원인과 민간요법을 제공한다. 질병과 증상에 대한 데이터베이스는 한의사가 추천한 여러 한의학 전문 서적을 기반으로 증상과 질병의 데이터베이스를 설계하고 한의학 전문의가 검증한 후에 구현하였다. 과거의 데이터를 바탕으로 증상을 학습함으로써 제안된 한의학 기반 건강 사전 진단 시스템 방법은 보다 정확한 진단 결과를 더 빨리 제공할 수 있다.

• Journal of information and communication convergence engineering
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• 제15권2호
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• pp.85-90
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• 2017

Expert systems for health diagnosis are only for medical experts who have deep knowledge in the field but we need a self-checking pre-diagnosis system for preventive public health monitoring. Korea Traditional Medicine is popular in use among Korean public but there exist few available health information systems on the internet. A computerized self-checking diagnosis system is proposed to reduce the social cost by monitoring health status with simple symptom checking procedures especially for Korea Traditional Medicine users. Based on the national reports for disease/symptoms of Korea Traditional Medicine, we build a reliable database and devise an intelligent inference engine using fuzzy c-means clustering. The implemented system gives five most probable diseases a user might have with respect to symptoms given by the user. Inference results are verified by Korea Traditional Medicine doctors as sufficiently accurate and easy to use.

• 한국CDE학회논문집
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• 제17권2호
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• pp.97-110
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• 2012

High performance sensors and modern data logging technology with real-time telemetry facilitate system fault diagnosis in a very precise manner. Fault detection, isolation and identification in fault diagnosis systems are typical steps to analyze the root cause of failures. This systematic failure analysis provides not only useful clues to rectify the abnormal behaviors of a system, but also key information to redesign the current system for retrofit. The main barriers to effective failure analysis are: (i) the gathered data (event) logs are too large in general, and further (ii) they usually contain noise and redundant data that make precise analysis difficult. This paper therefore applies suitable pre-processing techniques to data reduction and feature extraction, and then converts the reduced data log into a new format of event sequence information. Finally the event sequence information is decoded to investigate the correlation between specific event patterns and various system faults. The efficiency of the developed pre-filtering procedure is examined with a terminal box data log of a marine diesel engine.

• Korean Journal of Radiology
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• 제23권6호
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• pp.625-637
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• 2022

With regard to the indolent clinical characteristics of prostate cancer (PCa), the more selective detection of clinically significant PCa (CSC) has been emphasized in its diagnosis and management. Magnetic resonance imaging (MRI) has advanced technically, and recent international cooperation has provided a standardized imaging and reporting system for prostate MRI. Accordingly, prostate MRI has recently been investigated and utilized as a triage tool before biopsy to guide tissue sampling to increase the detection rate of CSC beyond the staging tool for patients in whom PCa was already confirmed on conventional systematic biopsy. Radiologists must understand the current paradigm shift for better PCa diagnosis and management. This article reviewed the recent literature, demonstrating the diagnostic value of pre-biopsy prostate MRI with targeted biopsy and discussed unsolved issues regarding the paradigm shift in the diagnosis of PCa.

• 기본간호학회지
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• 제15권4호
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• pp.495-503
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• 2008

Purpose: To date most research related to patients with breast cancer has discriminately investigated the status within or after the treatment although the patients demand holistic nursing care from the time of diagnosis. Thus, the purpose of this study was to investigate the trajectory of breast cancer diagnosis and patients' experiences in the pre-treatment period. Method: This qualitative study used qualitative thematic analysis. Nineteen Korean women who were diagnosed with breast cancer within the last 6 month participated in the study. Individualized interviews were conducted with each participant in a cancer center in K city. The interviews were tape-recorded, transcribed, and analyzed using the thematic analysis process. Results: The overriding theme was "the scattered life in an unforeseen swirl", which illustrates the participants' unexpected crisis with confusion and emotional distress. Two subthemes included "falling into an unavoidable journey", and "staggering in a muddle with urgency". The categories were "unexpected probability", "nagging nodularity", "ominous presentiment", "emotional upheaval", "bad thought intrusion", and "a sense of urgency". Conclusion: Patients in the pre-treatment period encountered utter emotional distress and a sense of urgency after being diagnosed breast cancer. Strategies to develop nursing care for patients in this period and nursing implications are discussed.

• Journal of information and communication convergence engineering
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• 제19권4호
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• pp.234-240
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• 2021

As the number of pet dog-related businesses is rising rapidly, there is an increasing need for reliable pet dog health information systems for casual pet owners, especially those caring for older dogs. Our goal is to implement a mobile pre-diagnosis system that can provide a first-hand pre-diagnosis and an appropriate coping strategy when the pet owner observes abnormal symptoms. Our previous attempt, which is based on the fuzzy C-means family in inference, performs well when only relevant symptoms are provided for the query, but this assumption is not realistic. Thus, in this paper, we propose a hybrid inference structure that combines fuzzy association memory and a double-layered fuzzy C-means algorithm to infer the probable disease with robustness, even when noisy symptoms are present in the query provided by the user. In the experiment, it is verified that our proposed system is more robust when noisy (irrelevant) input symptoms are provided and the inferred results (probable diseases) are more cohesive than those generated by the single-phase fuzzy C-means inference engine.

• 한국음향학회지
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• 제38권4호
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• pp.476-484
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• 2019

광음향 영상 기술은 광학영상 및 초음파영상 기법을 융합한 영상 기술로 높은 공간 해상도 및 대조도의 영상을 실시간으로 제공이 가능하다. 광음향 영상은 전임상 연구에서 많은 연구가 진행되었으며 최근 광음향 영상의 임상적 응용을 위한 연구에 많은 노력을 기울이고 있다. 본 논문은 광음향 영상을 이용한 원발 종양 및 전이 진단 기술 연구 현황에 대해 소개하고 임상적용을 위한 문제점에 대해서 알아보도록 한다.