• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.28.1-28
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• 2001

An automatic face recognition(AFR) of individuals is a significant problem in the development of computer vision. An AFR consists of two major parts which are detection of face region and recognition process, and the overall performance of AFR is determined by each. In this paper, the face region is acquired using chromaticity space, but this face region is a simple rectangle which doesn´t consider the shape information. By applying deformable templates to the face region, we can locate the position of the eyes in images. With the face region and the eye location information, more precise face region can be extract from the image. Because processing time is critical in real-time system, we use simplified eye templates and the modified energy function for the efficiency. We can get a good detection performance in experiments.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.37 no.3
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• pp.328-331
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• 2024

This research explores the development of [100]-textured barium titanate (BaTiO₃, BT) ceramics using sodium bismuth titanate (Na_0.5Bi_4.5Ti₄O₁₅, NBiT) templates, aimed at leveraging the inherent high dielectric property of BT. However, the attempted texturing was unsuccessful, primarily due to bismuth diffusion from the NBiT templates into the BT matrix below the sintering temperature, at 1,000℃. Systematical exploration about the cause of the failure is involved and alternative approaches are proposed in detail to overcome the challenge. These findings contribute to the understanding of techniques and conditions for textured ceramic fabrication and highlight the need for further research in this area.

• Journal of KIISE:Software and Applications
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• v.35 no.5
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• pp.313-324
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• 2008

A sentence reduction is the information compression process which removes extraneous words and phrases and retains basic meaning of the original sentence. Most researches in the sentence reduction have required a large number of lexical and syntactic resources and focused on extracting or removing extraneous constituents such as words, phrases and clauses of the sentence via the complicated parsing process. However, these researches have some problems. First, the lexical resource which can be obtained in loaming data is very limited. Second, it is difficult to reduce the sentence to languages that have no method for reliable syntactic parsing because of an ambiguity and exceptional expression of the sentence. In order to solve these problems, we propose the sentence reduction method which uses templates and POS(part of speech) information without a parsing process. In our proposed method, we create a new sentence using both Sentence Reduction Templates that decide the reduction sentence form and Grammatical POS-based Reduction Rules that compose the grammatical sentence structure. In addition, We use Viterbi algorithms at HMM(Hidden Markov Models) to avoid the exponential calculation problem which occurs under applying to Sentence Reduction Templates. Finally, our experiments show that the proposed method achieves acceptable results in comparison to the previous sentence reduction methods.

• Proceedings of the KIEE Conference
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• 2005.07d
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• pp.2959-2961
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• 2005

This study presents a human sensibility evaluation algorithm based on the personality-group templates of EEGs. For this objective, 16-channel EEG signals of 10 adults are collected. After Preprocessing of EEG, various EEG Parameters are estimated and compared. The proposed algorithm uses LP coefficients, neural network and pre-/post-processing techniques. The results showed good performance in human sensibility evaluation.

• 한국정보디스플레이학회:학술대회논문집
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• 2003.07a
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• pp.867-869
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• 2003

Vacuum tube arrays (VTA) with a submicron dimension were fabricated by using anodic aluminum oxide (AAO) nano-templates. The field emission characteristics of Ni nanowires show a turn-on voltage in the range of 11.0-14.0 V and a field enhancement factor in the range of 560-2790. The distance between the tips of Ni nanowires and the anode was much smaller than that between the tips and the anode of conventional designs.

• Journal of computational fluids engineering
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• v.18 no.2
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• pp.72-77
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• 2013

The Pre-processor program for CFD is being developed using wxWidgets and OpenGL libraries. This program can be run on both Windows and Linux operating systems. Undergraduate students and beginners can learn and use this very easily by menu and templates. Until now, structured mesh can be created in Cartesian or Cylindrical coordinates. This program will be used easily to make various type of meshes using templates.

• Bulletin of the Korean Chemical Society
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• v.23 no.11
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• pp.1519-1523
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• 2002

A procedure for preparing semiconductor/metal nanowire arrays is described, based on a template method which entails electrochemical deposition into nanometer-wide parallel pores of anodic aluminum oxide films on aluminum. Aligned CdS/Co heterostructured nanowires have been prepared by ac electrodeposition in the anodic aluminum oxide templates. By varying the preparation conditions, a variety of CdS/Co nanowire arrays were fabricated, whose dimensional properties could be adjusted.

• Proceedings of the Materials Research Society of Korea Conference
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• 2005.05a
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• pp.316-316
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• 2005

• Proceedings of the Korean Vacuum Society Conference
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• 2011.02a
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• pp.348-348
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• 2011

We present the interfacial electronic structures of electrodeposited Cu and Fe on bare and 1,4-phenylene diisocyanide (PDI)-functionalized Au nanoisland templates (NITs), and Au and Ag nanoparticles on transition metal oxide supports. Our discussion is based on the depth-profiling X-ray photoelectron spectroscopy (XPS) and scanning electron microscopy (SEM).

• Journal of KIISE:Computing Practices and Letters
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• v.16 no.4
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• pp.482-486
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• 2010

Recently, gesture recognition methods based on dynamic time warping (DTW) have been actively investigated as more mobile devices have equipped the accelerometer. DTW has no additional training step since it uses given samples as the matching templates. However, it is difficult to apply the DTW on mobile environments because of its computational complexity of matching step where the input pattern has to be compared with every templates. In order to address the problem, this paper proposes a gesture recognition method based on DTW that uses localized subset of templates. Here, the k-means clustering algorithm is used to divide each class into subclasses in which the most centered sample in each subclass is employed as the localized template. It increases the recognition speed by reducing the number of matches while it minimizes the errors by preserving the diversities of the training patterns. Experimental results showed that the proposed method was about five times faster than the DTW with all training samples, and more stable than the randomly selected templates.