• Annals of Clinical Neurophysiology
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• 제10권1호
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• pp.43-47
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• 2008

Background: Acute brachial plexitis is an acute idiopathic inflammatory disease affecting brachial plexus, which is characterized by initial severe pain in shoulder followed by profound weakness of affected arm. This is a retrospective study to evaluate the clinical and electrophysiological profile of acute brachial plexitis. Methods: Sixteen patients with acute brachial plexitis were sampled. The electrodiagnostic studies included motor and sensory nerve conduction studies (NCSs) of the median and ulnar, sensory NCSs of medial and lateral antebrachial cutaneous nerves, and needle electromyography (EMG) of selected muscles of upper extremities and cervical paraspinal muscles. The studies were performed on both sides irrespective of the clinical involvement. Results: In most of our patient, upper trunk was predominantly affected (14 patients, 87.50%). Only two patients showed either predominant lower trunk affection or diffuse affection of brachial plexus. All had an acute pain followed by the development of muscle weakness of shoulder girdle after a variable interval ($7{\pm}8.95$ days). Ten patients (62.50%) had severe disability. In NCSs, the most frequent abnormality was abnormal lateral antebrachial cutaneous sensory nerve action potentials (SNAPs). On needle EMG, all the patients showed abnormal EMG findings in affected muscles. Conclusions: In this study, pain was the presenting feature in all patients, and the territory innervated by upper trunk of the brachial plexus was most frequently involved. The most common NCS abnormality was abnormal SNAP in lateral antebrachial cutaneous nerve. Our findings support that the electrodiagnostic test is useful in localizing the trunk involvement in acute brachial plexitis.

• 정보화연구
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• 제11권1호
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• pp.89-97
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• 2014

유비쿼터스 컴퓨팅 기술이 빠른 속도로 발전함에 따라 의료 분야에서는 상황인지기술을 이용하여 환자의 안전 향상을 도모하고 있다. 그럼에도 불구하고 의료 기관의 환자 이상상황은 그 발생 빈도가 상당히 높다. 상황인지정보의 효과적인 관리와 이상상황에 대한 대응프로세스의 체계적인 관리의 부재로 인해 환자의 안전 제고에 대한 요구가 큰 실정이다. 본 연구에서는 이러한 문제를 해결하기 위한 시스템을 제안하고자 한다. 제안된 시스템은 세 개의 기능을 수행한다. 첫째, 상황인지 기술을 통하여 의료 기관 내에서 발생하는 모든 상황을 실시간으로 인지할 수 있도록 한다. 둘째, 인지된 상황인지 데이터의 패턴을 정의하고 규칙 기반 시스템으로 설계함으로써, 유의미한 데이터를 추출한다. 셋째, 비즈니스 프로세스 관리 시스템을 연동함으로써 환자의 이상상황을 프로세스 중심적으로 관리하도록 한다. 제안된 시스템은 u-Hospital에서 효율적으로 환자의 안전을 향상시킬 수 있을 것으로 기대된다.

• Clinical and Experimental Reproductive Medicine
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• 제42권4호
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• pp.156-162
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• 2015

Objective: To investigate fertilization and embryo quality of dysmorphic mature oocytes with specific morphological abnormalities obtained from intracytoplasmic sperm injection (ICSI). Methods: The fertilization rate (FR) and embryo quality were compared among 58 dysmorphic and 42 normal form oocytes (control 1) obtained from 35 consecutive ICSI cycles, each of which yielded at least one dysmorphic mature oocyte, performed over a period of 5 years. The FR and embryo quality of 441 normal form oocytes from another 119 ICSI cycles that did not involve dysmorphic oocytes served as control 2. Dysmorphic oocytes were classified as having a dark cytoplasm, cytoplasmic granularity, cytoplasmic vacuoles, refractile bodies in the cytoplasm, smooth endoplasmic reticulum in the cytoplasm, an oval shape, an abnormal zona pellucida, a large perivitelline space, debris in the perivitelline space, or an abnormal polar body (PB). Results: The overall FR was significantly lower in dysmorphic oocytes than in normal form oocytes in both the control 1 and control 2 groups. However, embryo quality in the dysmorphic oocyte group and the normal form oocyte groups at day 3 was similar. The FR and embryo quality were similar in the oocyte groups with a single abnormality and multiple abnormalities. Specific abnormalities related with a higher percentage of top-quality embryos were dark cytoplasm (66.7%), abnormal PB (50%), and cytoplasmic vacuoles (25%). Conclusion: The fertilization potential of dysmorphic oocytes in our study was lower, but their subsequent embryonic development and embryo quality was relatively good. We were able to define several specific abnormalities related with good or poor embryo quality.

• 한국정밀공학회지
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• 제29권11호
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• pp.1199-1206
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• 2012

Recently, technologies to help the elderly or disabled people who have difficulty in walking are being developed. In order to develop these technologies, it is necessary to construct a system that gathers the gait data of people and analysis of these data is also important. In this research, we constructed the development of sensor system which consists of pressure sensor, three-axis accelerometer and two-axis gyro sensor. We used k-means clustering algorithm to classify the data for characterization, and then calculated the symmetry index with histogram which was produced from each cluster. We collected gait data from sensors attached on two subjects. The experiment was conducted for two kinds of gait status. One is walking with normal gait; the other is walking with abnormal gait (abnormal gait means that the subject walks by dragging the right leg intentionally). With the result from the analysis of acceleration component, we were able to confirm that the analysis technique of this data could be used to determine gait symmetry. In addition, by adding gyro components in the analysis, we could find that the symmetry index was appropriate to express symmetry better.

• Asian Pacific Journal of Cancer Prevention
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• 제16권8호
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• pp.3527-3531
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• 2015

Background: Serbia is one of the countries with highest incidence and mortality rates for cervical cancer in Central and South Eastern Europe. Introducing a risk index could provide a powerful means for targeting groups at high likelihood of having an abnormal cervical smear and increase efficiency of screening. The aim of the present study was to create and assess validity ofa index for prediction of an abnormal Pap test result. Materials and Methods: The study population was drawn from patients attending Departments for Women's Health in two primary health care centers in Serbia. Out of 525 respondents 350 were randomly selected and data obtained from them were used as the index creation dataset. Data obtained from the remaining 175 were used as an index validation data set. Results: Age at first intercourse under 18, more than 4 sexual partners, history of STD and multiparity were attributed statistical weights 16, 15, 14 and 13, respectively. The distribution of index scores in index-creation data set showed that most respondents had a score 0 (54.9%). In the index-creation dataset mean index score was 10.3 (SD-13.8), and in the validation dataset the mean was 9.1 (SD=13.2). Conclusions: The advantage of such scoring system is that it is simple, consisting of only four elements, so it could be applied to identify women with high risk for cervical cancer that would be referred for further examination.

• 한국해양학회지
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• 제19권1호
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• pp.11-17
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• 1984

1981년 7월 7일~12일 기간중 동해에서의 해양관측 결과와 국립수산진흥원 (1961~1981년) 및 일본 기상청 자료(1975, 1981년)를 분석한 결과, 1981년 하계의 1$0^{\circ}C$ 등온선이 130 E선의 35 30 N 이남 해역에서 약 75m 이심에 나타났으나 이 이북 해역에서부터 20~30m로 급격히 상승했다. 한편, 1966~1981년의 130 E선 에서 35 N~37 30 N의 3정점의 깊이 100m의 수온표준편차는 2~4$^{\circ}C$로서 변동폭이 매우 컸다. 1981년 하계의 수온 편차는 표준 편자의 1.5배 이상이며, 수심 150m 이천은 평년에 비해 5~1$0^{\circ}C$ 낮았다. 특히 1$0^{\circ}C$ 등온선이 평년보다 20~120마일 남하하여 35 N~36 N 해역에 까지 이르렀다. 이상의 결과를 종합해 볼 때 1981년은 약 15년 (1966~1981년) 동안에 처음 있는 이상 저수온년이었다.

• 한국철도학회논문집
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• 제18권5호
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• pp.410-418
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• 2015

VVVF 전동차 팬터그래프의 주습판은 전차선과 미끄럼 접촉에 의한 집전을 하면서 편마모 등 이상마모 현상이 나타나게 된다. 우천 시에는 윤활성분이 손실되어 주습판과 전차선과의 왕복운동에 대한 마찰저항이 급상승하여 국부적 마모가 가속화 된다. 내마모 특성을 가져야 하는 동계 주습판의 특성을 고려하여 합금설계를 통해 제작된 개선 주습판의 현차시험 결과 이상마모와 편마모가 발생하지 않았다. 개선된 주습판의 밀도향상은 Fe-Ti의 부석효과를 상승시켜 우기 시에도 우수한 내마모성 및 내아크성을 유지함으로써 이상마모 발생을 방지하였다. 또한, 기계적, 전기적 마모에 의한 주습판의 성분 및 조성변화가 일어나지 않았다. 주습판의 내마모성 향상에 기여함과 더불어 우기와 동절기 등 악 조건하에서 현차시험을 거치고 전차선과의 상관관계도 분석하여 전 전동차에 적용하였다.

• Journal of Korean Medical Science
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• 제33권43호
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• pp.239.1-239.12
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• 2018

Background: We described a novel multi-step retinal fundus image reading system for providing high-quality large data for machine learning algorithms, and assessed the grader variability in the large-scale dataset generated with this system. Methods: A 5-step retinal fundus image reading tool was developed that rates image quality, presence of abnormality, findings with location information, diagnoses, and clinical significance. Each image was evaluated by 3 different graders. Agreements among graders for each decision were evaluated. Results: The 234,242 readings of 79,458 images were collected from 55 licensed ophthalmologists during 6 months. The 34,364 images were graded as abnormal by at-least one rater. Of these, all three raters agreed in 46.6% in abnormality, while 69.9% of the images were rated as abnormal by two or more raters. Agreement rate of at-least two raters on a certain finding was 26.7%-65.2%, and complete agreement rate of all-three raters was 5.7%-43.3%. As for diagnoses, agreement of at-least two raters was 35.6%-65.6%, and complete agreement rate was 11.0%-40.0%. Agreement of findings and diagnoses were higher when restricted to images with prior complete agreement on abnormality. Retinal/glaucoma specialists showed higher agreements on findings and diagnoses of their corresponding subspecialties. Conclusion: This novel reading tool for retinal fundus images generated a large-scale dataset with high level of information, which can be utilized in future development of machine learning-based algorithms for automated identification of abnormal conditions and clinical decision supporting system. These results emphasize the importance of addressing grader variability in algorithm developments.

• KNOM Review
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• 제21권2호
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• pp.18-25
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• 2018

사토시 나타모토에 의해 블록체인 기술이 개발되고 비트코인이 새로운 암호화폐 시장을 개척한 이후 여러 암호 화폐들이 등장하고 그 수와 규모는 나날이 증가하고 있다. 또한 블록체인 기술의 익명성과 여러 취약점을 이용한 범죄들이 발생하고 있으며 이에 취약점 개선과 범죄 예방을 위한 많은 연구들이 진행되고 있으나 범죄를 저지르는 사용자들을 탐지해내기엔 역부족이다. 따라서 네트워크 내 자금 세탁, 자금 탈취 등 이상 행위를 탐지 하는 것은 매우 중요하며 이에 본 논문에서는 비트코인 네트워크의 트랜잭션 및 유저 그래프의 특징들을 수집하고 이로부터 통계정보를 추출한 후 이를 로그 스케일 상에서 플롯으로 나타낸다. 시각화된 플롯을 Densification Power Law와 Power Degree Law에 따라 분석하고 결과적으로 비트코인 네트워크 내 비정상 트랜잭션 및 비정상 유저를 포함하는 이상 탐지에 적절한 특징들을 제시한다.

• Design & Manufacturing
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• 제16권4호
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• pp.52-59
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• 2022

Currently, Korea is an aging society and is expected to become a super-aged society in about four years. X-ray devices are widely used for early diagnosis in hospitals, and many X-ray technologies are being developed. The development of X-ray device technology is important, but it is also important to increase the reliability of the device through accurate data management. Sensor nodes such as temperature, voltage, and current of the diagnosis device may malfunction or transmit inaccurate data due to various causes such as failure or power outage. Therefore, in this study, the temperature, tube voltage, and tube current data related to each sensor and detection circuit of the diagnostic X-ray imaging device were measured and analyzed. Based on QC data, device failure prediction and diagnosis algorithms were designed and performed. The fault diagnosis algorithm can configure a simulator capable of setting user parameter values, displaying sensor output graphs, and displaying signs of sensor abnormalities, and can check the detection results when each sensor is operating normally and when the sensor is abnormal. It is judged that efficient device management and diagnosis is possible because it monitors abnormal data values (temperature, voltage, current) in real time and automatically diagnoses failures by feeding back the abnormal values detected at each stage. Although this algorithm cannot predict all failures related to temperature, voltage, and current of diagnostic X-ray imaging devices, it can detect temperature rise, bouncing values, device physical limits, input/output values, and radiation-related anomalies. exposure. If a value exceeding the maximum variation value of each data occurs, it is judged that it will be possible to check and respond in preparation for device failure. If a device's sensor fails, unexpected accidents may occur, increasing costs and risks, and regular maintenance cannot cope with all errors or failures. Therefore, since real-time maintenance through continuous data monitoring is possible, reliability improvement, maintenance cost reduction, and efficient management of equipment are expected to be possible.