• KOREAN JOURNAL OF CROP SCIENCE
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• v.23 no.1
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• pp.26-31
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• 1978

Effect of over flooding moisture levels on the growth and yield of barley and wheat crops was determined. The marked plant height retardation of barley under over saturated moisture treatment was observed at the elongating stage and wheat at the booting stage. The elongating and tillering stage subjected to over flooding moisture level significantly reduced panicle number and grain number per panicle, and 1000-grain weight reduction at the booting stage streated with over saturated moisture level. The highest yield reduction of two row and six row barley stage, under over flooting moisture level. Soil wet resistance observed in decreasing order; wheat<six row barley<two row barley.

• The Korean Journal of Applied Statistics
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• v.32 no.5
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• pp.671-681
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• 2019

Studies on predicting arrhythmia using machine learning have been actively conducted with increasing number of arrhythmia patients. Existing studies have predicted arrhythmia based on multivariate data of feature variables extracted from RR interval data at a specific time point. In this study, we consider that the pattern of the heart state changes with time can be important information for the arrhythmia prediction. Therefore, we investigate the usefulness of predicting the arrhythmia with multivariate time series data obtained by extracting and accumulating the multivariate vectors of the feature variables at various time points. When considering 1-nearest neighbor classification method and its ensemble for comparison, it is confirmed that the multivariate time series data based method can have better classification performance than the multivariate data based method if we select an appropriate time series distance function.

• Journal of Chest Surgery
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• v.43 no.2
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• pp.204-207
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• 2010

A 68 year-old man visited our institution due to chest pain. Coronary angiography revealed triple vessel disease. A computed tomographic angiogram performed as a routine preoperative examination demonstrated an intraluminal spider-web-like mass from the infrarenal abdominal aorta to both common iliac arteries. The infrarenal aorta and both common iliac arteries were excised and replaced with concomitant off-pump coronary artery bypass grafts. Histologic examination of the aorta suggested an intimal sarcoma. A postoperative computed tomographic angiogram performed 3 months postoperatively showed no evidence of a residual or a recurred lesion.

• Journal of Korean Society of Forest Science
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• v.82 no.3
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• pp.260-270
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• 1993

This study was carried out to clarifyed a taxonomical relationships of Rutaceae on the subfamily, genus and species level in Korea using venation pattern and stomata types. The results are summarized as follows : The leaf venation of the Rutaceae has revealed three major venation types. Semicraspedodromous, Brochidodromous and Cladodromous. The leaf ufmations type of the genus Evodia and Phellodendron were similar to Cladodromous type. They showed gradual evolution from brochidodromous type of Aurantioideae to cladodromous type of Toddaloideae. The stomata ypes were reconized Anomocytic and Actinocytic type, and epidermal cells were Ansio. Polygonal and Medium type. In the correlation analysis, there were highly significant correlation between frequency and length (r=-0.822), frequency and width (r=-0.780), and length and width(r=0.909) at 1% level.

• Journal of Chest Surgery
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• v.35 no.2
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• pp.137-140
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• 2002

Aortic regurgitation in the pediatrics who had previous cardiac surgery is increased with their improved longterm survival rate and their complexity of heart disease. So the need of aortic valve surgery in pediatrics is also on the increase. A 10-year old boy was admitted for progressive cyanosis and dyspnea on exertion(DOE). The patient had been underwent lateral tunnel Fontan operation before. Echocardiography and cardiac catheterization study revealed hepatic vein drained to pulmonary atrium via intrahepatic collaterals, moderate atrioventricular regurgitation, and severe aortic regurgitation due to aortic root dilation. We report a case who had aortic root reconstruction, valvuloplasty of the atrioventricular valve, and hepatic vein ligation successfully Cyanosis and DOE was dramatically improved after the operation

• KOREAN JOURNAL OF CROP SCIENCE
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• v.30 no.1
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• pp.7-14
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• 1985

Lodging damage of Sesame was different between growing condition and variety although same wind velocity. The result of lodging damages showed variation of leaves area. stem length, capsule numbers and yield in late-varieties but showed variation of capsule setting length, dry weight of leaves, main root length, ripening rate of grain in early-varieties. Specially late varieties showed decreasing character of significant coefficient in mono, and after-barley-cropping at lodging degree of 30 commonly.

• Journal of KIISE:Software and Applications
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• v.30 no.12
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• pp.1247-1254
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• 2003

Currently. the north american symptomatic carotid endarterectomy trial, european carotid surgery trial, and common carotid method are used to measure the carotid stenosis for determining candidate for carotid endarterectomy using the projection angiography from different modalities such as digital subtraction angiography. rotational angiography, computed tomography angiography and magnetic resonance angiography. A new computerized carotid stenosis measuring system was developed using MR angiography axial image to overcome the drawbacks of conventional carotid stenosis measuring methods, to reduce the variability of inter-observer and intra-observer. The gray-level thresholding is one of the most popular and efficient method for image segmentation. We segmented the carotid artery and lumen from three-dimensional time-of-flight MRA axial image using gray-level thresholding technique. Using the measured intima-media thickness value of common carotid artery for each cases, we separated carotid artery wall from the segmented carotid artery region. After that, the regions of segmented carotid without artery wall were divided into region of blood flow and plaque. The calculation of carotid stenosis degree was performed as the following; carotid stenosis grading is(area measure of plaque/area measure of blood flow region and plaque) * 100%.

• Journal of Chest Surgery
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• v.39 no.4 s.261
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• pp.317-319
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• 2006

Under median sternotomy and left thoracotomy, extra-anatomic aorta bypass between ascending aorta and descending thoracic aorta without cardiopulmonary bypass support has been done effectively and easily without complications for a selected case of atypical coarctation associated with hypoplasia of aortic arch. It should be considered as an alternative operative technique for complex aortic arch reconstruction.

• Journal of Veterinary Clinics
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• v.24 no.2
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• pp.233-237
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• 2007

A 10-month-old intact male Labrador Retriever dog was referred with the primary complaint of exercise intolerance, especially after vigorous exercise. Physical examination revealed split S1 and grade III/VI diastolic regurgitant murmur at the left apex and base, respectively. ECG finding was normal sinus rhythm at rest, but supraventricular tachycardia with bundle branch blocks after exercise. Thoracic radiography revealed dilated ascending aorta with normal range of cardiac silhouette (VHS 10.2). Echocardiography revealed abnormal valvular structures just above the aortic valvular cusps causing aortic regurgitation with a reduction of left ventricular ejection fraction (LVEF). Based on those findings, the case was diagnosed as congenital aortic regurgitation caused by abnormal valvular structures. The dog was managed with diltiazem and exercise restriction. This is a rare case of aortic deformity in dogs.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.1
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• pp.37-43
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• 2020

Recently, many researches have been actively to diagnose symptoms of heart disease using ECG signal, which is an electrical signal measuring heart status. In particular, the electrocardiogram signal can be used to monitor and diagnose arrhythmias that indicates an abnormal heart status. In this paper, we proposed 1-D convolutional neural network for arrhythmias classification systems. The proposed model consists of deep 11 layers which can learn to extract features and classify 5 types of arrhythmias. The simulation results over MIT-BIH arrhythmia database show that the learned neural network has more than 99% classification accuracy. It is analyzed that the more the number of convolutional kernels the network has, the more detailed characteristics of ECG signal resulted in better performance. Moreover, we implemented a practical application based on the proposed one to classify arrythmias in real-time.