• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2003.11a
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• pp.3-8
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• 2003

Census data are usually provided at an aggregated level. However, the aggregated data are essentially arbitrary geographical areas. The areal units used to report census data have no natural or meaningful geographical identity. Unfortunately, this means that analyses of these area aggregations may be conditional upon the set of zones, which are presented. This effect is known as the modifiable areal unit problem (MAUP) and has two related aspects. First, scale effect is the variation in numerical results that occurs due to the number of zones used in an analysis. Second, results may also differ between different ways of aggregating exactly the same data to the same scale; this may be called the aggregation effect (Openshaw, 1984). This study aims to provide a practical tool for the study of MAUP. I have created a set of 91 areal units based on 280 basic units in Nonhyun-2 dong to solve zoning problem and scale problem. We can easily recognize the importance of areal classification as statistics were different according to areal classification.

• Journal of the Korea Safety Management & Science
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• v.11 no.2
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• pp.117-126
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• 2009

We develop methods for propagating and analyzing EPCI(Extended Process Capability Index) by using the error type that classifies into accuracy and precision. EPCI developed in this study can be applied to the three combined processes that consist of production, measurement and calibration. Little calibration work discusses while a great deal has been studied about SPC(Statistical Process Contol) and MSA(Measurement System Analysis). EPCI can be decomposed into three indexes such as PPCI(Production Process Capability Index), PPPI(Production Process Performance Index), MPCI(Measurement PCD, and CPCI(Calibration PCI). These indexs based on the type of error classification can be used with various statistical techniques and principles such as SPC control charts, ANOVA(Analysis of Variance), MSA Gage R&R, Additivity-of-Variance, and RSSM(Root Sum of Square Method). As the method proposed is simple, any engineer in charge of SPC. MSA and calibration can use efficientily in industries. Numerical examples are presentsed. We recommed that the indexes can be used in conjunction with evaluation criteria.

• Journal of the Korean Society for Precision Engineering
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• v.6 no.3
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• pp.60-67
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• 1989

An automated classification and coding system for structure of injection mold is developed based on the statistical analysis and the critical evaluation of the results for the sample survey of 200 assembly drawings of injection mold. The proposed system is a mixed code system consisting of 15 digits and each digit consists of 10 numerical codes. An interactive computer program is developed by using TURBO PASCAL on IBM PC/AT compatible system. A case study is discussed to show the procedure and the function of the system. The results for applications of the system to real problems show that the system works well and is useful for design, manufacturing and management of injection mold.

• Proceedings of the Korean Information Science Society Conference
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• 2000.10a
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• pp.192-194
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• 2000

최근 데이터 마이닝에서 대용량 데이터를 처리하는 응용이 많아짐에 따라, 클러스터링(Clustering) 및 분류(Classification)방법이 중요한 분야가 되고 있다. 특히 분류방법에 관한 기존 연구들은 단지 메모리 상주(memory-resident) 데이터에 대해 한정되며 고차원 데이터를 효율적으로 처리할 수 없다. 따라서 본 논문에서는 대용량 고차원 데이터를 효과적으로 처리할 수 있는 새로운 분류 알고리즘을 제안한다. 이는 데이터들을 차원 공간상의 셀(cell)로 표현함으로써 수치(numerical) 애트리뷰트와 범주(categorical) 애트리뷰트 모두 처리할 수 있는 알고리즘을 제안한다. 아울러, 실험결과를 통해 제안한 알고리즘이 데이터의 양,차원 그리고 속성에 관계없이 분류를 효과적으로 수행함을 보인다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2003.05a
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• pp.243-246
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• 2003

Data mining is a process of discovering useful patterns for decision making from an amount of data. It has recently received much attention in a wide range of business and engineering fields Classifying a group into subgroups is one of the most important subjects in data mining Tree-based methods, known as decision trees, provide an efficient way to finding classification models. The primary concern in tree learning is to minimize a node impurity, which is evaluated using a target variable in the data set. However, there are situations where multiple target variables should be taken into account, for example, such as manufacturing process monitoring, marketing science, and clinical and health analysis. The purpose of this article is to present several methods for measuring the node impurity, which are applicable to data sets with multiple target variables. For illustrations, numerical examples are given with discussion.

• Computers and Concrete
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• v.17 no.6
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• pp.761-786
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• 2016

This paper proposes an automated procedure for optimum seismic design of reinforced concrete (RC) frame structures. This procedure combines a smart pre-processing using a Tree Classification Method (TCM) and a nonlinear optimization technique. First, the TCM automatically creates sections database and assigns sections to structural members. Subsequently, a real valued model of Particle Swarm Optimization (PSO) algorithm is employed in solving the optimization problem. Numerical examples on design optimization of three low- to high-rise RC frame structures under earthquake loads are presented with and without considering strong column-weak beam (SCWB) constraint. Results demonstrate the effectiveness of the TCMin seismic design optimization of the structures.

• Journal of Acupuncture Research
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• v.40 no.2
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• pp.162-166
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• 2023

This study aimed to demonstrate a safe and effective procedure targeting the A1 pulley with ultrasound-guided acupotomy in patients with a trigger finger. Six ultrasound-guided acupotomy procedures were performed on 1 patient. The Numerical Rating Scale (NRS) score, Quinnell's classification of triggering, Tanaka score, and A1 pulley thickness were measured using ultrasonography before and after treatment. This study revealed reduced NRS score, Quinnell's classification of triggering, Tanaka score, and thickness of the A1 pulley, with no side effects during the procedure. This indicates ultrasound-guided acupotomy as an effective and safe treatment method for patients with a trigger finger. Further studies are required to evaluate the beneficial effects of this treatment.

• Tunnel and Underground Space
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• v.15 no.6 s.59
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• pp.425-431
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• 2005

A series of geotechnical surveys and in-situ tests were carried out to evaluate the stability of underground mine cave in an abandoned coal mine. After the closure of the mine, the underground mine drifts have been utilized for a tourist route since 1999. The dimension of the main cave is 5m width, 3m height and 230m length. The surrounding rock mass of the cave is consist of black shale, coal and limestone. Also, the main cave is intersected by two fault zone. Detailed field investigations including Rock Mass Rating(RMR), Geological Strength Index(GSI) and Q classification were performed to evaluate the stability of the main cave and to examine the necessity of reinforcement. Based on the results of rock mass classification and numerical analysis, suitable support design was recommended for the main cave. RMR and Q values of the rock masses were classified in the range of fair to good. According to the support categories proposed by Grimstad & Barton(1993), these classes fall in the reinforcement category of the Type 3 to Type 1. A Type 3 reinforcement category signifies systematic bolting and no support is necessary for the Type 1 case. From the result of numerical analysis, it was inferred that additional support on the several unstable blocks is required to ensure stability of the cave.

• Journal of Korean Tunnelling and Underground Space Association
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• v.15 no.4
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• pp.443-453
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• 2013

This study aims to evaluate the mechanical behaviors of unsupported rock pillars in a room-and-pillar underground structure by a series of numerical analyses. In addition, rock pillar strengths estimated by a few empirical equations proposed for underground mines are compared with those from numerical analyses. Based on the results from the numerical analysis, the ratio of pillar strength to rock mass strength increases as the ratio of the width of a pillar to its height becomes bigger. It means that higher ratio of pillar width to its height is much more favorable for stabilizing a room-and-pillar underground structure. Especially, unsupported pillar strengths estimated from numerical analyses are higher than rock mass strength when the ratio of pillar width to height is approximately over 1.5. It is also found that the choice of an empirical equation appropriate for a given geometric condition of a pillar is important for its feasible application to the stability analysis of a pillar in the room-and-pillar method.

• Journal of Electrical Engineering and Technology
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• v.1 no.3
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• pp.295-301
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• 2006

This paper presents a new two-terminal numerical algorithm for fault location estimation using the synchronized phasor in time-domain. The proposed algorithm is also based on the synchronized voltage and current phasor measured from the PMUs (Phasor Measurement Units) installed at both ends of the transmission lines. In this paper, the algorithm is given without shunt capacitance and with shunt capacitance using II -model and estimated using DFT (Discrete Fourier Transform) and LES (Least Error Squares Method). The algorithm uses a very short data window and classification for real-time transmission line protection. To verify the validity of the proposed algorithm, the Electro-Magnetic Transient Program (EMTP) and MATLAB are used.