• Title/Summary/Keyword: HIT

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User Customizable Hit Action Recognition Method using Kinect (키넥트를 이용한 사용자 맞춤형 손동작 히트 인식 방법)

  • Choi, Yunyeon;Tang, Jiamei;Jang, Seungeun;Kim, Sangwook
    • Journal of Korea Multimedia Society
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    • v.18 no.4
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    • pp.557-564
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    • 2015
  • There are many prior studies for more natural Human-Computer Interaction. Until now, the efforts is continued in order to recognize motions in various directions. In this paper, we suggest a user-specific recognition by hit detection method using Kinect camera and human proportion. This algorithm extracts the user-specific valid recognition rage after recognizing the user's body initially. And it corrects the difference in horizontal position between the user and Kinect, so that we can estimate a action of user by matching cursor to target using only one frame. Ensure that efficient hand recognition in the game to take advantage of this method of suggestion.

Development of surface defect inspection algorithms for cold mill strip using tree structure (트리 구조를 이용한 냉연 표면흠 검사 알고리듬 개발에 관한 연구)

  • Kim, Kyung-Min;Jung, Woo-Yong;Lee, Byung-Jin;Ryu, Gyung;Park, Gui-Tae
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.365-370
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    • 1997
  • In this paper we suggest a development of surface defect inspection algorithms for cold mill strip using tree structure. The defects which exist in a surface of cold mill strip have a scattering or singular distribution. This paper consists of preprocessing, feature extraction and defect classification. By preprocessing, the binarized defect image is achieved. In this procedure, Top-hit transform, adaptive thresholding, thinning and noise rejection are used. Especially, Top-hit transform using local min/max operation diminishes the effect of bad lighting. In feature extraction, geometric, moment, co-occurrence matrix, histogram-ratio features are calculated. The histogram-ratio feature is taken from the gray-level image. For the defect classification, we suggest a tree structure of which nodes are multilayer neural network clasifiers. The proposed algorithm reduced error rate comparing to one stage structure.

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The method to Apply User Preference for On-line Shopping Mall: A Topic Map approach (온라인 쇼핑몰에서 사용자 선호도 적용 방법: 토픽맵 적용)

  • Jeong, Hwa-Young;Kim, Yoon-Ho
    • Journal of Advanced Navigation Technology
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    • v.15 no.5
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    • pp.925-930
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    • 2011
  • In this paper, we propose a method to apply the purchase preference of a user in on-line shopping mall. To analyze the preference, we use topic preference vector. The topic is purchase count of products. In this structure, we construct the association the four factors; Purchase Hit meaning the purchase count of product, Count meaning the purchase count by other users in interesting product, Preference meaning product preference, and product meaning information of the product. By this structure and the method, we could show that proposed method displayed the product applying user preference, effectively.

An analytical study on the Effect of High impedance Transformer to reduce Distribution Fault Current (변압기 임피던스 증가에 의한 배전계통의 고장전류 저감방안의 영향분석)

  • Lee, Hyun-Chul;Lee, Geun-Joon;Hyun, Ok-Bae;Hwang, Si-Dol
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.239_240
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    • 2009
  • This paper presents the brief analytical study on 돋 effects of higher impedance transformer(HIT) to reduce distribution system fault current. With the increase of source and load capacity of power system, fault current of D/L is much more increased and, conventional protection equipment-such as sectionalizer and recloser, have to be replaced higher switching capacity. However, this replacements needs a lot of budget to utility. Increase of transformer impedance is can be a countermeasure in practical basis. This paper compares the voltage and fault current magnitude of both cases -%Zt=20% and %Zt2=33.3%(transformer capacity is 75/100MVA). The simulation results show that the steady state voltage of HIT is dropped 5~6% more in peak load, and fault current was decreased about 5kA by high impedance on transformer.

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Structure Design of Artificial Neural Networks using Genetic Algorithm (유전적 알고리즘을 이용한 인공신경망의 구조 설계)

  • 이재식;차봉근
    • Journal of the Korean Operations Research and Management Science Society
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    • v.24 no.3
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    • pp.49-62
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    • 1999
  • Artificial Neural Networks(ANN) have been successfully applied to various kinds of business and engineering problems, especially those involved in pattern classification. However, because of the lack of design standard or guidelines, the structure of specific ANN depends on the designer's own experiments or choices. In other words, even though we could construct a better ANN, we often steeled down with just a satisfactory ANN. The purpose of this research is to apply the Genetic Algorithm(GA) to design a structure of ANN that yields better performance compared to the existing test results. For a bankruptcy prediction problem. an exiting research using ANN which consists of 22 input processing elements(PEs) for financial ratios and 5 hidden PEs showed 70% hit ratio. In our research, the input financial ratios and the number of hidden PEs are determined by GA. The best ANN, which consists of 8 input PEs and 6 hidden PEs, shows 78.03% hit ratio. In addition, we compare the performance of two types of reproduction schemes, i.e., generational reproduction and steady-state reproduction.

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Killing Activity and Molecular Properties of Bacteriophage Sigma FA1 of Bacillus circulans (Bacteriophage Sigma FA1의 치사활성과 구조특성)

  • 김철호;김동수
    • Microbiology and Biotechnology Letters
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    • v.19 no.6
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    • pp.553-560
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    • 1991
  • In the previous paper (10). a new temperate phage, Sigma FA1 had been isolated from B. circulans. Sigma FA1 had an icosahedral head with a diameter of about 70 nm, and a tail about 15 nm long, and beared a circularly permuted, linear duplex DNA. Signla FA1 killed sensitive cells by a single-hit process. Phage DNA injected into the cell immediately after infection was degraded slowly. Our results indicate that the killing action of Sigma FA1 is different from the phenomenon of abortive infection and suggest that the killing might be caused by a proteinaceous component of Sigma FA1.

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Reliability Assessment of Tubular Markers Used for Road Safety Facilities (도로안전시설용 시선유도봉의 신뢰성 평가)

  • Koo, Hyun-Jin;Yoon, Ye-Seok
    • Journal of Applied Reliability
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    • v.12 no.2
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    • pp.91-103
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    • 2012
  • Tubular markers for road safety facilities are used to lead the driver's sight line and separate the lanes on the road. Such tubular markers are usually installed on the road and frequently hit by vehicles, they are accordingly requested to assure the product durability. The traditional evaluation method of tubular markers include only quality tests of the material properties. However, most of consuming agencies in charge of road management at fields have proposed problems on long-term performance of the products hit by vehicles under various weather conditions. Therefore, the objectives of this study are to develop the reliability test methods and equipments to simulate the product failures of tubular markers due to vehicle collision and wheel compression and the delamination and discoloration of reflection sheets attached on the surface of the products under high and low temperatures.

Iterative SAR Segmentation by Fuzzy Hit-or-Miss and Homogeneity Index

  • Intajag Sathit;Chitwong Sakreya;Tipsuwanporn Vittaya
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.111-114
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    • 2004
  • Object-based segmentation is the first essential step for image processing applications. Recently, SAR (Synthetic Aperture Radar) segmentation techniques have been developed, however not enough to preserve the significant information contained in the small regions of the images. The proposed method is to partition an SAR image into homogeneous regions by using a fuzzy hit-or-miss operator with an inherent spatial transformation, which endows to preserve the small regions. In our algorithm, an iterative segmentation technique is formulated as a consequential process. Then, each time in iterating, hypothesis testing is used to evaluate the quality of the segmented regions with a homogeneity index. The segmentation algorithm is unsupervised and employed few parameters, most of which can be calculated from the input data. This comparative study indicates that the new iterative segmentation algorithm provides acceptable results as seen in the tested examples of satellite images.

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Cooperative Guidance Law for Multiple Near Space Interceptors with Impact Time Control

  • Guo, Chao;Liang, Xiao-Geng
    • International Journal of Aeronautical and Space Sciences
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    • v.15 no.3
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    • pp.281-292
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    • 2014
  • We propose a novel cooperative guidance law design method based on the finite time disturbance observer (FTDO) for multiple near space interceptors (NSIs) with impact time control. Initially, we construct a cooperative guidance model with head pursuit, and employ the FTDO to estimate the system disturbance caused by target maneuvering. We subsequently separate the cooperative guidance process into two stages, and develop the normal acceleration command based on the super-twisting algorithm (STA) and disturbance estimated value, to ensure the convergence of the relative distance. Then, we also design the acceleration command along the line-of-sight (LOS), based on the nonsingular fast terminal sliding mode (NFTSM) control, to ensure that all the NSIs simultaneously hit the target. Furthermore, we prove the stability of the closed-loop guidance system, based on the Lyapunov theory. Finally, our simulation results of a three-to-one interception scenario show that the proposed cooperative guidance scheme makes all the NSIs hit the target at the same time.

Image Objects Detection Method for the Embedded System (임베디드 시스템을 위한 영상객체의 검출방법)

  • Kim, Yun-Il;Rho, Seung-Ryong
    • Journal of Institute of Control, Robotics and Systems
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    • v.15 no.4
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    • pp.420-425
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    • 2009
  • In this paper, image detection and recognition algorithms are studied with respect to embedded carrier system. There are many suggested techniques to detect and recognize objects. But they have the propensity to need much calculation for high hit rate. Advanced and modified method needs to study for embedded systems that low power consumption and real time response are requested. The proposed methods were implemented using Intel(R) Open Source Computer Vision Library provided by Intel Corporation. And they run and tested on embedded system using a ARM920T processor by cross-compiling. They showed 1.6sec response time and 95% hit rate and supported the automated moving carrier system smoothly.