• Journal of the Korean Institute of Telematics and Electronics B
• /
• v.30B no.6
• /
• pp.67-75
• /
• 1993

ECG pattern was classified using a back-propagation neural network. An improved feature extractor of ECG is proposed for better classification capability. It is consisted of preprocessing ECG signal by an FIR filter faster than conventional one by a factor of 5. QRS complex recognition by moving-window integration, and peak extraction by quadratic approximation. Since the FIR filter had a periodic frequency spectrum, only one-fifth of usual processing time was required. Also, segmentation of ECG signal followed by quadratic approximation of each segment enabled accurate detection of both P and T waves. When improtant features were extracted and fed into back-propagation neural network for pattern classification, the required number of nodes in hidden and input layers was reduced compared to using raw data as an input, also reducing the necessary time for study. Accurate pattern classification was possible by an appropriate feature selection.

• Proceedings of the Computational Structural Engineering Institute Conference
• /
• 2000.10a
• /
• pp.238-245
• /
• 2000

A general formulation for shape design sensitivity analysis over a plane arch structure is developed based on a variational formulation of curved beam in linear elasticity. Sensitivity formula is derived using the material derivative concept and adjoint variable method for the stress defined at a local segment. Obtained sensitivity expression, which can be computed by simple algebraic manipulation of the solution variables, is well suited for numerical implementation since it does not involve numerical differentiation. Due to the complete description for the shape and its variation of the arch, the formulation can manage more complex design problems with ease and gives better optimum design than before. Several examples are taken to show the advantage of the method, in which the accuracy of the sensitivity is evaluated. Shape optimization is also conducted with two design problems to illustrate the excellent applicability.

• 시스템엔지니어링워크숍
• /
• s.6
• /
• pp.126-129
• /
• 2005

Systems engineering requirement verification model developmetn for High Speed Railway systems in progress is a national large system development program that is not only large-size and complex but also multi-disciplinary in nature. For the High Speed Railway TEP development, verification requirements that could verify system function, performance, and constraint, should be derived from SSS(system Segment specification). Hereafter, this could be referred to as verification requirements. System engineering process establishes traceability between verification requirements and system requirements. These tasks could be accomplished by the schema. using computer-aided Systems Engineering tool(CORE), High Speed Railway program can become a database and other system related to High Speed Railway program will be developed effectively and efficiently.

• Journal of KSNVE
• /
• v.2 no.4
• /
• pp.265-272
• /
• 1992

The simplest method which has been used extensively for vibration analysis is the transfer matrix method introduced by Myklestad and was later extended by many researchers. The crude approximation results in considerable error on the predicted natural frequencies and to increase the accuracy the number of elements used in the analysis must be increased. In addition, numerical instability can occur as a result of matrix multiplication. Also the main disadvantage of the finite element method is the large computer memory requirements for complex systems. The new method proposed in this paper combines the transfer matrix and finite dynamic element techniques to form a powerful algorithm for vibration analysis of rotor system. It is shown that the accuracy improves significantly when the transfer matrix for each segment is obtained from finite dynamic element techniques.

• The Korean Journal of Oral and Maxillofacial Pathology
• /
• v.42 no.5
• /
• pp.153-158
• /
• 2018

Complicated crown-root fractures are considered rare occurrences in young permanent dentition; however, they often present complicated and unpredictable treatment options. The most common treatment option for crown-root fractured teeth is reattachment of fractured segment, but if it is thought impossible to maintain, it should be extracted. However, when unfavorable crown-root fracture occurs in the adolescents, extraction of fractured teeth is expected to be poor due to excessive resorption of alveolar and prosthetic replacement cannot be performed immediately, various treatment options should be considered. This report suggests root submergence in the complex crown-root fracture in growing patients is performed and the functional and aesthetic results including preservation of the alveolar bone are obtained.

• Journal of Agricultural Extension & Community Development
• /
• v.29 no.4
• /
• pp.191-201
• /
• 2022

This study aims to segment the rural tourists markets according to benefits sought after the COVID-19 outbreak. Data were collected from 284 usable visits in 20 rural tourism village. Results show that it was classified into three clusters from factor-cluster analysis, The first cluster was 'negative participation type', and the overall pursuing benefit factor was low. The second cluster was 'complex pursuit type', and all the pursuing benefit factors were higher than the average. The third cluster was 'experience-seeking type', and the benefits of pursuing rural experiences, special experiences, and intimacy were high. Each cluster showed differences in educational background, age, residential area, type of visit, awareness, satisfaction, and behavioral intention of rural tourism villages.

• International journal of advanced smart convergence
• /
• v.11 no.1
• /
• pp.1-10
• /
• 2022

Single-view reconstruction (SVR) is a fundamental method in computer vision. Often used for reconstructing human-made environments, the Manhattan world assumption presumes that planes in the real world exist in mutually orthogonal directions. Accordingly, this paper addresses an automatic SVR algorithm for Manhattan worlds. A method for estimating the directions of planes using graph-cut optimization is proposed. After segmenting an image from extracted line segments, the data cost function and smoothness cost function for graph-cut optimization are defined by considering the directions of the line segments and neighborhood segments. Furthermore, segments with the same depths are grouped during a depth-estimation step using a minimum spanning tree algorithm with the proposed weights. Experimental results demonstrate that, unlike previous methods, the proposed method can identify complex Manhattan structures of indoor and outdoor scenes and provide the exact boundaries and intersections of planes.

• Journal of the Korean Society for Industrial and Applied Mathematics
• /
• v.27 no.2
• /
• pp.146-159
• /
• 2023

This paper proposes a hybrid algorithm combining K-means clustering and watershed algorithms for flower segmentation and counting. We use the K-means clustering algorithm to obtain the main colors in a complex background according to the cluster centers and then take a color space transformation to extract pixel values for the hue, saturation, and value of flower color. Next, we apply the threshold segmentation technique to segment flowers precisely and obtain the binary image of flowers. Based on this, we take the Euclidean distance transformation to obtain the distance map and apply it to find the local maxima of the connected components. Afterward, the proposed algorithm adaptively determines a minimum distance between each peak and apply it to label connected components using the watershed segmentation with eight-connectivity. On a dataset of 30 images, the test results reveal that the proposed method is more efficient and precise for the counting of overlapped flowers ignoring the degree of overlap, number of overlap, and relatively irregular shape.

• International journal of advanced smart convergence
• /
• v.13 no.2
• /
• pp.187-194
• /
• 2024

For precise cardiac diagnostics and treatment, we introduce a novel method for patient-specific mapping between myocardial and coronary anatomy, leveraging local variations in myocardial thickness. This complex system integrates and automates multiple sophisticated components, including left ventricle segmentation, myocardium segmentation, long-axis estimation, coronary artery tracking, and advanced geodesic Voronoi distance mapping. It meticulously accounts for variations in myocardial thickness and precisely delineates the boundaries between coronary territories according to the conventional 17-segment myocardial model. Each phase of the system provides a step-by-step approach to automate coronary artery mapping onto the myocardium. This innovative method promises to transform cardiac imaging by offering highly precise, automated, and patient-specific analyses, potentially enhancing the accuracy of diagnoses and the effectiveness of therapeutic interventions for various cardiac conditions.

• Journal of Korea Multimedia Society
• /
• v.9 no.2
• /
• pp.160-171
• /
• 2006

In this paper, we propose a face detection method using region segmentation to deal with complex images that have various environmental changes such as mixed background and light changes. To reduce the detection error rate due to background elements of the images, we segment the images with the JSEG method. We choose candidate regions of face based on the ratio of skin pixels from the segmented regions. From the candidate regions we detect face regions by using location and color information of eyes and eyebrows. In the experiment, the proposed method works well with the images that have several faces and different face size as well as mixed background and light changes.