• Journal of the Korean Association of Oral and Maxillofacial Surgeons
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• v.33 no.3
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• pp.238-246
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• 2007

This study is aimed to elucidate the abnormal growth pattern of human fetal maxilla with cleft lip and palate (CLP). Total 71 fetal maxillae with CLP were obtained from aborted human fetuses. They were examined radiologically for the dimensional changes of maxillary trapezoid (MT) formed by maxillary primary growth centers (MxPGC)(Lee et al., 1992). In palatal radiogram of the CLP maxilla, the MT was traced by the anterior and posterior MxPGCs, and the dimensions of anterior and posterior maxillary widths, maxillary length, and MT length (MTL), and MT area were measured for evaluation of the basic growth pattern of the developing maxilla. The growth of anterior and posterior MxPGCs was severely retarded in the prenatal maxillae with CLPs, showing abnormal shape of MT. Cleft lip subjects without cleft palate also showed arrested growth of MT. Unilateral cleft lipalveolar cleft or cleft palate (UCL-AC/CP) and bilateral cleft lip-alveolar cleft or cleft palate (BCL-AC/CP) showed enhanced abnormal MT pattern. The abnormality of MT was most marked in BCL-AC/CP. It was also observed that the craniofacial malformations other than CLPs produced abnormal MT. In conclusion, the MT growth of prenatal CLP maxilla was severely arrested and resulting in abnormal MT shape on the palatal radiogram. BCL-AC/CP showed more protruded nasal septum than other types of CLPs, while UCL-AC/CP showed severe deviation of the protruded nasal septum towards the non-cleft side. Cleft lip only subjects also showed the abnormal growth of MT. These data suggest that the MT is primarily involved in CLPs, and MT shape could be utilized as a sensitive indicator for the analysis of maxillary malformation in different types of CLPs.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.20 no.10
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• pp.901-906
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• 2007

In this study, we measured the partial discharge phenomenon of inside the closed switchgear, using ultra wide band antenna. The characteristics of $\Phi-q-n$ in the normal state are stable, and confirmed at less than 0.01, but in proceeding states, about 2 times larger. And in the abnormal state, it grew hundreds of times larger compared with normal state. According to K-means analysis, if slant of discharge characteristics is a straight line close to "0" and standard deviation is small, it is in a normal state. However if we can find a peak from K-means clusters and standard deviation to be large, it is in an abnormal state.

• Physical Therapy Korea
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• v.5 no.2
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• pp.39-46
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• 1998

Thumb adduction is an abnormal pattern typically noted in children with spastic cerebral palsy. This abnormal pattern can limit hand function, specifically in the type and quality of prehension pattern used and in the coordination of release. This ABAB single-subject research was designed to examine the effects of short thumb opponens splint on hand function in cerebral palsy. The subject was a 4 years and 8 months old boy with right upper extremity spasticity. The child was fitted with a short thumb opponens splint, which was worn for 8 hours per day during the daytime. Two different measures were used: (a) prehension component scores; (b) Bruininks-Oseretsky test of motor proficiency. Data was collected three times a week for 10 weeks. Visual analysis of data indicate that after the application of a short thumb opponens splint, improvements were noted in the prehension pattern and fine motor functional task. The results of this study suggest that short thumb opponens splint may prove efficaciousness in the treatment of the child with cerebral palsy.

• The Korean Journal of Physiology and Pharmacology
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• v.24 no.4
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• pp.349-362
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• 2020

Temperature affects the firing pattern and electrical activity of neurons in animals, eliciting diverse responses depending on neuronal cell type. However, the mechanisms underlying such diverse responses are not well understood. In the present study, we performed in vitro recording of abdominal ganglia cells of Aplysia juliana, and analyzed their burst firing patterns. We identified atypical bursting patterns dependent on temperature that were totally different from classical bursting patterns observed in R15 neurons of A. juliana. We classified these abnormal bursting patterns into type 1 and type 2; type 1 abnormal single bursts are composed of two kinds of spikes with a long interspike interval (ISI) followed by short ISI regular firing, while type 2 abnormal single bursts are composed of complex multiplets. To investigate the mechanism underlying the temperature dependence of abnormal bursting, we employed simulations using a modified Plant model and determined that the temperature dependence of type 2 abnormal bursting is related to temperature-dependent scaling factors and activation or inactivation of potassium or sodium channels.

• Journal of the Korea Society of Computer and Information
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• v.29 no.3
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• pp.127-136
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• 2024

This study explores the correlation between system anomalies and large-scale logs within the Spark cluster environment. While research on anomaly detection using logs is growing, there remains a limitation in adequately leveraging logs from various components of the cluster and considering the relationship between anomalies and the system. Therefore, this paper analyzes the distribution of normal and abnormal logs and explores the potential for anomaly detection based on the occurrence of log templates. By employing Hadoop and Spark, normal and abnormal log data are generated, and through t-SNE and K-means clustering, templates of abnormal logs in anomalous situations are identified to comprehend anomalies. Ultimately, unique log templates occurring only during abnormal situations are identified, thereby presenting the potential for anomaly detection.

• International Journal of Computer Science & Network Security
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• v.21 no.4
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• pp.131-139
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• 2021

In current time, anomaly detection is the primary concern of the administrative authorities. Suspicious activity identification is shifting from a human operator to a machine-assisted monitoring in order to assist the human operator and react to an unexpected incident quickly. These automatic surveillance systems face many challenges due to the intrinsic complex characteristics of video sequences and foreground human motion patterns. In this paper, we propose a novel approach to detect anomalous human activity using a hybrid approach of statistical model and Genetic Programming. The feature-set of local motion patterns is generated by a statistical model from the video data in an unsupervised way. This features set is inserted to an enhanced Genetic Programming based classifier to classify normal and abnormal patterns. The experiments are performed using publicly available benchmark datasets under different real-life scenarios. Results show that the proposed methodology is capable to detect and locate the anomalous activity in the real time. The accuracy of the proposed scheme exceeds those of the existing state of the art in term of anomalous activity detection.

• Journal of Sensor Science and Technology
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• v.13 no.6
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• pp.436-445
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• 2004

In this study, a uroflowmetry system was developed to detect a voiding symptom conveniently at home or hospital. A implemented hardware was composed of mechanism and system circuit part, the software was developed to process uroflow data, graph display, extraction of parameter, and evaluation of congregate rate so as to analysis obtaining uroflow data. The following experiment was performed to evaluate an ability of classification and fitness. The curve pattern of uroflow was classified into each symptom. Various parameters were calculated in the curve pattern of each uroflow as follows. The parameters are MFR, AFR, VOL, VT, and FT. A significant difference among parameters was examined by a statistical analysis for extracted parameters between normal and abnormal experimental group. The uroflow data with the various symptom was divided into normal and abnormal group using fuzzy classifier. The result of the fuzzy classification using MFR and AFR was superior by 91.23 % than grouping evaluation including VOL.

• Proceedings of the Korean Information Science Society Conference
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• 2010.06c
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• pp.463-468
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• 2010

본 논문은 본 연구팀이 행동패턴 분석을 위하여 개발한 BPP(Behavior Pattern Prediction)알고리즘의 가중치(weight) 속성을 객관적으로 수식화 하는 방법과 가중치와 행동 프로파일을 이용하여 정상/비정상 행동여부를 판단하는 ABA(Abnormal Behavior Analysis) 알고리즘을 제안한다. 가중치는 거주자의 방과 행동 사이의 연관성을 나타내며 가중치가 제한된 범위 내에서 증가 할수록 행동에 대한 관심이 크다. 구축한 사용자 프로파일의 주요 구성 요소로는 행동이 지속된 시간 과 행동 발생 횟수이다. ABA 알고리즘은 가중치와 행동 발생 횟수, 행동 지속시간과의 상관분석 결과를 참조 하였으며, 이산 가중치 데이터를 분석하여 비정상적인 행동을 탐지한다.

• Korean Journal of Community Nutrition
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• v.2 no.5
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• pp.721-727
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• 1997

This study investigated whether dietary factors are more influential factor than other health behavior such as drinking, smoking and exercise on abnormal serum cholesterol level inspite of Korean dietary pattern differences compared to Europeans and Americans. A double case control study model has been used for the study design. One model consisted of high blood cholesterol cases and control. the other model consisted of low blood cholesterol cased and controls. 5.398 sedentary male workers who had taken medical examinations at a university hospital were used as the study subjects. Out of the study subjects, 36individuals with high blood cholesterol cases and 30 individuals with low blood cholesterol cases were selected. For the 66 individual control selection, the individual control selection, the individuals matching method was adopted. The food frequency method was used to collect the data for assessment of the dietary factors. A standardized questionnaire was used to investigate other health behavior. logistic regression analysis was employed to measure the relative importance between the factors considered. There were no statistically significant differences observed in nutrients consumption or other health behavior among the low, normal and high blood cholesterol groups, An overmatching effect had been suspected as the cause of those findings. However, the results of logistic regression analysis to identify the factors influencing high serum cholesterol showed that odd ratios of dietary factors such as tocopherol(3.0) and saturated fatty acid(1.6) were higher than I. I of smoking and 1.2 of drinking. Similar results were also observed incases of low serum cholesterol. The above findings imply that although the dietary pattern is quite different from that of Europeans and America, the dietary factor is still a significant factor for abnormal blood cholesterol in Koreans. Therefore, the dietary risk factor identified in high fat consumption populations are still relevant for the relatively healthy Korean as guideline for preventive health practices. (Korean J Community Nutrition 2(5) : 721∼727, 1997)

• The Journal of the Society of Korean Medicine Diagnostics
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• v.10 no.1
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• pp.54-63
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• 2006

Objectives: In this study a pattern questionnaire for damum patterns was developed by means of literature review and statistical analysis. The individual approach of korean medicine is based on the concept of pattern identification, the objectivity and validity issues of which hold important meaning in the pratice and research. Methods: Review of literatures led to the selection of 22 items describing Dam or Um pattern. A preliminary questinnaire consisted of these items that may be scored with positive score at zero to seven. Results: Damum is all over the body syndromes. That is abnormal body conditions. Damun arouse body pain, breath disorder, digestion disorder, nerves disorder, excretion disorder. Conclusions: Review of literatures led to selection of 29 items describing Damun. A questionnaire is in preparation.