• Nuclear Engineering and Technology
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• v.56 no.9
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• pp.3981-3981
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• 2024

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.5
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• pp.509-514
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• 2015

In this paper, we introduce a new pattern classifier which is based on the learning algorithm of Extreme Learning Machine the sort of artificial neural networks and fuzzy set theory which is well known as being robust to noise. The learning algorithm used in Extreme Learning Machine is faster than the conventional artificial neural networks. The key advantage of Extreme Learning Machine is the generalization ability for regression problem and classification problem. In order to evaluate the classification ability of the proposed pattern classifier, we make experiments with several machine learning data sets.

• Journal of Convergence for Information Technology
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• v.10 no.7
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• pp.147-152
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• 2020

The research is carried out to analyze the cost-effectiveness of blasting patterns with regard to the diameters and design of blasting holes. Blasting patterns for single diameter array, and mixed diameter array were comparatively analyzed with regard to drilling and charging time, and materials required. The number of blasting holes required for single array pattern and mixed array pattern were 138 and 93 holes, respectively. From the drilling time analysis, reduction in time and its efficiency of mixed pattern were 139 minutes and 25%, respectively, in comparison with single pattern. Charging time reduction and its efficiency of mixed blasting pattern were evaluated as 22.5 minutes per worker and 33%, respectively, compare to single blasting pattern. The explosive quantities of G1 and G2 required for single array patterns were 270 and 30, while those were 222 and 20 for mixed array patterns for tunnelling 4m. And single pattern required 45 more detonators than the mixed pattern. The evaluation of material required can also be positive parameter for cost reduction of tunnel construction.

• Design Convergence Study
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• v.14 no.2
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• pp.51-65
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• 2015

The purpose of this study is to derive the design characteristics of the pattern, which can effectively support the building facade design and to analyze the correlation of their characteristics. This paper deals with five different design patterns suggested by Ben Pell. They are the applied pattern, perforated pattern, layered pattern, casting pattern, and tiled pattern. This paper analyzes the design characteristics of the applied pattern, which shows the highest point in the previous survey. The 'continuous' has a high emotional correlation. The high correlation with the emotional word 'continuous' and 'regular' was derived. The final emotional design characteristic is 'continuous-discontinuous', and 'irregular-regular'. and these emotional words can be summarized as the relatively highest correlation. In this paper, it is worth analyzing design characteristics of building facade by a support of digital technology and discussing utilization of design characteristics derived.

• Journal of Powder Materials
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• v.22 no.3
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• pp.169-174
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• 2015

The optical film for light luminance improvement of BLU that is used in LCD/LED and retro-reflective film is used as luminous sign consist of square and triangular pyramid structure pattern based on V-shape micro prism pattern. In this study, we analyzed machining characteristics of Cu-plated flat mold by shaping with diamond tool. First, cutting conditions were optimizing as V-groove machining for the experiment of micro prism structure mold machining with prism pattern shape, cutting force and roughness. Second, the micro prism structure such as square and triangular pyramid pattern were machined by cross machining method with optimizing cutting conditions. Burr and chip shape were discussed with material properties and machining method.

• Convergence Security Journal
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• v.14 no.5
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• pp.49-56
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• 2014

In this paper, we proposed a method for representing local facial features based on LDP (Local Directional Pattern). To represent both PFF (Permanent Facial Features) and TFF (Transient Facial Features) effectively, the proposed method configure local facial feature vectors based on overlapped blocks for each facial feature in the forms of various size and shape. There are three advantages - it take advantages of geometric feature based method; it shows robustness about detection error using movement characteristics of each facial feature; and it shows reduced sampling error because maintain spatial information caused by block size variability. Proposed method shows better classification accuracy and reduced amount of calculation than existing methods.

• Journal of the Institute of Convergence Signal Processing
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• v.7 no.4
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• pp.161-168
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• 2006

In this paper, we propose a method for the pattern inspection of LCD module using the color compensation and pattern matching. The pattern matching is generally used for the inspection method of LCD module at the industry. LCD module has many defections such as the brightness difference of the back light, the optic feature of liquid crystal, the difference of the light penetrated by driving LCD and the color difference by the lighting. The conventional method without the color compensation can not solve these defections and decreases the efficiency of inspecting LCD module. The method proposed to inspect defective badness through the pattern matching after it compensated color difference of the LCD occurred by the various causes. At first, it revises with setting by standard tone of color with the LCD pattern of the reference image. And It perform the preprocessing and pattern matching algorithm on the compensated image. In experiment, we confirmed that this algorithm is useful to detect some defections of LCD module. The proposed methods was easy to detect the faulty product.

• Journal of information and communication convergence engineering
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• v.17 no.1
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• pp.84-90
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• 2019

Applications of unmanned aerial vehicles (UAVs) in the military environment have become popular because they require minimum human contribution and can avoid accidents during missions. UAVs are employed in various missions such as reconnaissance, observation, aggression, and protection. Consequently, counter-measures, known as anti-drone technologies, have been developed as well. In order to protect against threats from anti-drone technologies and enhance the survivability of UAVs, this study proposes an evasive measure. The proposed bio-inspired evasive maneuver of a UAV mimics a dragonfly's irregular flight. The unpredictable UAV movement is able to confuse enemies and avoid threats, thereby enhancing the UAV's survivability. The proposed system has been implemented on a commercial UAV platform (AR Drone 2.0) and tested in a real environment. The experiment results demonstrate that the proposed flight pattern has larger displacement values compared to a regular flight maneuver, thus making the UAV's position is difficult to predict.

• Journal of the Korea Convergence Society
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• v.11 no.4
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• pp.109-118
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• 2020

In recent years, the needs of consumers for personality and personalized clothing are increasing. Knitting machines, which produce clothing by the user at low cost, are a good way to meet consumer demand. However, the user is having difficulty in using the knitting machine pattern program, which is a software program, independently of the operation of the knitting machine. Therefore, this study conducted a literature review prior to the empirical research and evaluated the usability by selecting three kinds of frequently used knitting machine pattern programs as research subjects. Based on the nine usability evaluation principles derived from expert group discussions, the study found that the needs of users for nine evaluation principles: visibility, conciseness, operability, consistency, accuracy, flexibility, intuition, error recognition, and supplementary explanation (The purpose of this study is to identify the direction and alternatives of usability improvement for the interface of the knitting machine pattern program.

• Journal of Internet Computing and Services
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• v.22 no.6
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• pp.41-49
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• 2021

Due to the COVID-19 pandemic, issues related to quarantine are emerging. There are various infection prevention methods, but among them, it is certain to frequently disinfect the surface or the entire space of an object that has come into contact with the virus. However, the reality is that the number of times such disinfection is legally designated and the required number of personnel are very different depending on the building and facility. For this reason, there are no companies and systems that can professionally receive orders for disinfection work. In order to solve the aforementioned problems, this paper presents a method to design a disinfection service platform based on the MVC pattern, and implements the required functions based on this. Through this, it is possible to build a more systematic system, and it is hoped that it will be of great help to quarantine with an orderly process for disinfection work.