• 대한간호
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• 제34권5호
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• pp.52-67
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• 1996

As home care in developing and becoming part of the health care delivery system in Korea, it is necessary to examine the use of nursing diagnoses and related nursing interventions with a view to increasing the standardization of nursing recording. This study was done to examine the nursing diagnosis and related nursing interventions used in home care. Data were collected using a chart review of the nursing notes written for the home care given to 38 patients who had pulmonary diseases or traumatic brain or spinal cord injuries and who had received home care as part of a demonstration home care project in a college of Nursing in Seoul. Early on in the project discussions as to format and use to nursing diagnosis was done and a tool was developed based on Gordon's eleven functional catergories with the addition of categories to cover family and environment. This tool was used in the data collection. Data included nursing diagnosis, etiologies and interventions. Real numbers and percentages were used in the analysis. The results show that the most frequently used diagnoses were in the category of physical function (75.6%), followed by the category of emotional and social function (21.8%). The least frequently used category was the one for family and environment (2.6%). The order of the frequency of recorded nursing interventions was the same, 82.3% for physical function, 16.2% of emotional and social function and 1.5% for family and environment. Under the category of physical functioning the most frequently used nursing diagnoses were related to mobility (62.2%), nutrition (23.6%) and elimination (11.9%). The frequencies of nursing interventions for these three diagnostic categories were 69.8%, 16.0% and 10.8% respectively. For emotional and social functioning, the most frequently used diagnoses were for cognition-perception (37.1%), self-perception (30.6%) and perception of health (23.7%). The ordering of the frequency of nursing interventions varied slightly. The most frequently used interventions were for the category of self-perception (31.7%) followed by cognition-perception (24.1%) and perception of health (22.9%). Looking at individual diagnoses, it was found that within the categroy of physical functioning, the most frequently used diagnosis was "impaired physical mobility" (29.5%) and this diagnosis involved 43.9% of the interventions. This was followed by "ineffective breathing pattern" (19.4%) with 17.7% of interventions, and "alteration in nutrition, less than body requirements" (11.2%) with 8.1% of the interventions. For the emotional social category, noncompliance was the most frequently used nursing diagnosis (18.2%) with 19.2% of the interventions. This was followed by "anxiety" (13.4%) with 13.6% of the interventions and by "knowledge deficit" (13.4%) but with only 5.5% of the interventions. The other diagnoses and interventions did not follow this pattern of frequency. Although there were a large number of diagnostic and intervention events, the number of actual diagnoses and interventions used were relatively small ranging from six interventions for "knowledge deficit" to 40 interventions for "imparied physical mobility". From this it can be concluded that the results of this study could be used as basic data for the development of standardized charts with respect to nursing diagnosis and interventions for clients with pulmonary disease and clients with traumatic brain or spinal cord injuries. Interventions that were direct care activities (1178) were much more frequent that education (430), and assessment and observation (148). There were also few diagnoses or interventions related to the family and the environment. This suggests two areas that need to be developed in home care and that need to be considered in the development of standardized records for use in home care.

• 한국철도학회:학술대회논문집
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• 한국철도학회 2011년도 정기총회 및 추계학술대회 논문집
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• pp.737-747
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• 2011

5678SMRT has installed various sensor for operating conditions(field of electric, facilities, signal, communication equipment and track) and environment of Every Function Room for remotely detecting and monitoring. Installed sound sensor for analyzed after remotely heard the noise of every equipment at Every Function Room and temperature sensor for check the temperature condition of Every Function Room. Additional installed voltage sensor in signal equipment room for monitoring RF track-circuit's voltage condition. Installed displacement sensor at The Chungdam bridge's railway for measuring and monitoring track displacement caused by temperature change and Pan/Tilt camera at sub-station and drainage for remotely field monitoring. Installed sensor for each equipment's operating condition and failure at Every Function Room then periodic check of workforce turned to around-the-clock surveillance by sensor therefore improvement of operating equipment. SMRT is lots of prevent a failure by Immediately detect of precondition of equipment failure by analyzed the sensor data. If the occurrence of an failure, become detected Immediately so possibility correct diagnosis and order by remotely field check by installed camera and sound sensor at field.

• 수면정신생리
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• 제4권1호
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• pp.120-128
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• 1997

Clinical neuropsychological tests were developed originally for the diagnosis of neurological and neuro-surgical diseases. Recently, these tests are being introduced to psychiatric patients. Authors had the experience to use these tests in pychiatric outpatient clinic. Results were as follows. There was a significantly increase in language and attentional function in residual schizophrenia compared to normal control. In chronic neurosis, as visuospatial function was reduced, language and attentional functions were enhanced. With these results, authors suggest that application of neuropsychological tests in psychiatric patients may be very helpful in classifying the subgroups of disease, in selecting the modality of treatment, and in expecting prognosis.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1995년도 하계학술대회 논문집 B
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• pp.995-998
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• 1995

As the modern industrial processes become more complex, it is getting more difficult to model and control the processes. Naturally, an advanced type of DCS(Distributed Control System) with higher level functions is being sought Advanced DCS is a DCS with advanced functions such as fault diagnosis, GPC(Generalized Predictive Control), NN(Neural Network), and Fuzzy Control. In this thesis, we have studied a fuzzy control algorithm for realizing an advanced DCS. Its algorithm is implemented in a form of function code which is a process control language, being used by the industrial engineers. To verify the realized function code of the fuzzy control, the function code is applied to a continuous casting process of the Pohang Iron & Steel Works in Kwangyang. The rules of the fuzzy control were collected via interviews of the field operators and their operation documents. Finally, usability of the function code of the fuzzy control is shown via simulation for the continuous casting process model.

• 한국인터넷방송통신학회논문지
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• 제9권2호
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• pp.1-6
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• 2009

많은 양의 데이터로부터 유용성있는 정보의 추출, 진단 및 예후에 대한 결정, 질병 치료의 응용 등은 바이오 인포머틱스(Bioinformatics)분야에서 매우 중요한 문제들이다. 본 논문에서는 암진단시스템에 적용하기위해 support vector machine을 위한 weogjted lernel fuction과 빠른 수렴성과 좋은 분류성능을 갖는 학습방법을 제안하였다. 제안된 kernel function에서 기본적인 kernel fuction의 weights는 암진단 학습단계에서 결정되고 분류단계에서 파리미터로 사용된다. 대장암 데이터와 같은 임상 데이터에 대한 실험결과에서 제안된 방법은 기존의 다른 kernel fuction들 보다 더 우수하고 안정적인 분류성능을 보여주었다.

• 한국컴퓨터정보학회논문지
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• 제18권12호
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• pp.11-19
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• 2013

본 논문에서는 유도 전동기의 기계적 결함을 진단하기 위해 진동신호와 질감 분석을 이용한 알고리즘을 제안한다. 영상화된 결함 신호가 갖는 무늬, 색상 대비의 특징을 분석하고, 그레이레벨 동시발생행렬(Gray-Level Co-occurrence Model, GLCM)을통해 세 가지 질감특징을추출한다. 추출된 세 가지질감 특징을 RBF(Radial Basis Function) 커널 함수를 사용하는 다중레벨 서포터 벡터 머신(Multi-Level Support Vector Machine, MLSVM)의 입력으로 사용하여 결함 유형을 분류한다. 결함 유형을 분류하는 최적의 MLSVM을 위한 RBF 커널 함수의 매개변수를 찾기 위해 매개변수 값을 0.3부터 1.0으로 바꿔가며 분류성능을 평가한 결과, 결함 유형별로 0.3에서 0.6사이의 매개변수 값에서 100%에 가까운 분류 정확성을 보였다. 또한 15dB, 20dB의 잡음이 첨가된 진동신호를 이용한 실험에서도 평균 98%이상의 높은 분류 정확성을 보였다.

• 대한자기공명의과학회:학술대회논문집
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• 대한자기공명의과학회 2003년도 제8차 학술대회 초록집
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• pp.67-68
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• 2003

We will present work done at our institution on the use of MRI in breast cancer. The presentation will start by describing a compartmental model that has been used by us since 1993 in studying tumor vascular function in animal models and humans. The employment of this method for diagnosis, therapy monitoring, and disease prognosis in breast cancer will be presented with examples.

• 종양간호연구
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• 제9권1호
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• pp.60-66
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• 2009

Purpose: The purpose of this study was to analyse the level of sexual function among breast cancer survivors as compared with that among healthy women. Method: A total of 208 women participated in this study: 103 breast cancer survivors attending self-help group and 105 community-residing healthy women in G city. A self-reported questionnaire with the Female Sexual Function Index (FSFI) was used to obtain data. Data were analyzed using the SPSS Win 14.0 $K^+$ for descriptive statistics, t-test, and two-way ANOVA. Results: The sexual function score of breast cancer survivors was significantly lower than that of healthy women, respectively $14.9{\pm}9.9$ and $20.6{\pm}11.1$ (p<0.001). The sexual function of recurrent breast cancer survivors was significantly lower than that of women without recurrence. However, there were no significant differences in the sexual function score according to the cancer stage, period since diagnosis, and types of cancer treatment modality. Conclusion: The findings indicate the importance of sex-related counseling and educational programs to improve the quality of life of breast cancer survivors.

• 대한두경부종양학회지
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• 제16권1호
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• pp.52-57
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• 2000

Purpose: The purpose of the study was to evaluate the sensitivity, specificity and accuracy between the FNAC and intraopevative frozen biopsy based upon the Final histologic diagnosis. Method: Authors studied 232 cases of thyroid nodule operated at Department of Surgery, College of Medicine, Chosun University, from January 1992 to December 1998. The medical records of these patients were studied retrospectively. The cytology of FNAC and the frozen section was compared to the final histologic diagnosis. 232 cases were analysed in regard to correlation of FNAC diagnosis and Intraoperative frozen section with final pathology, preoperative thyroid scan, thyroid function test, ultrasonography, final histopathology of the specimens, and surgical operation methods. 174 cases who underwent FNAC for diagnosis before operation, and Intraoperative frozen-section biopsy were classified according to whether the clinical diagnosis was benign, suspicious or malignant and evaluated the specificity sensitivity and accuracy. Result: Comparing with final histopathology, FNAC as a diagnostic test for thyroid nodules demonstrated an accuracy of 81.3%, a sensitivity of 87.5%, a specificity 86.5% with a false positivity of 2.9%, false negativity of 4.3%, respectively. and Intra-operative frozen section demonstrated an accuracy of 86.8%, a sensitivity of 87.5%, a specificity 92.1%. In the benign lesion, there was no difference in accuracy between FNAC(95.6%) and frozen section(95.1%) but, in the suspicious malignant lesion, frozen section(46.2%) was superior to FNAC(32.0%), and in the malignant disease, FNAC(97.1%) was superior to frozen section(92.3%). Conclusion: Intraoperative frozen section biopsy is useful in patients undergoing surgery for a thyroid nodule with a 'suspicious' malignant lesion and could reduce inadequate extensive excision without missing malignancy and second operation and help to determine the resection margin. It adds no information in patients with a diagnosis of malignancy following FNAC assessment and is of limited use in those in whom a benign lesion is diagnosed.

• 컴퓨터교육학회논문지
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• 제17권3호
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• pp.1-10
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• 2014

유비쿼터스의 기능이 결합된 뉴미디어의 보급으로 인터넷 중독뿐만 아니라 스마트폰 중독은 정보화의 역기능으로 심각한 사회문제가 되고 있다. 대학생의 인터넷 중독과 스마트폰 중독정도를 비교분석하고자 지역 인근 대학교의 일부 대학생들에게 한국형 성인 인터넷 중독 자가진단 척도인 K-척도와 스마트폰 중독 자가진단 척도인 S-척도를 시행하였다. 본 연구에서는 컴퓨터와 스마트폰을 이용하여 웹사이트에 접속하는 기본적인 인터넷 이용패턴을 취득하는 설문문항을 개발하여, K-척도와 S-척도로는 별견되지 않는 숨겨진 인터넷 중독자와 스마트폰 중독자를 찾아서 K-척도와 S-척도의 진단결과와 비교하였다. 또한 K-척도 및 S-척도와 달리 대학생들의 컴퓨터와 스마트폰을 통한 인터넷 주활동과 예상 및 실제 사용시간을 계산하여 구한 내성정도를 이용하여 중독을 진단하는 방법을 제안하고자 한다. SPSS 통계분석 프로그램을 사용하여 숨겨진 인터넷 및 스마트폰 중독자를 찾을 수 있었다.