• Title/Summary/Keyword: VE 기법

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Proposed Deterioration-induced Axial Stiffness of Existing Piles in Vertical Extension Structures (수직증축 공동주택 하부 기존말뚝의 열화를 고려한 축강성 제안)

  • Jeong, Sang-Seom;Kim, Do-Hyun;Cho, Hyun-Chul
    • Journal of the Korean Geotechnical Society
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    • v.35 no.12
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    • pp.25-33
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    • 2019
  • In this study, the axial stiffness of existing piles (Kve) of vertical extension remodeled building was quantified through theoretical and experimental approaches. Theoretically induced upper and lower boundary of the pile axial stiffness was estimated by using the formula proposed by Randolph and Wroth (1978), which can estimate the axial stiffness of rigid and flexible pile subjected under soil confinement. In addition, 38 cases of field measurement data on deteriorated piles with various diameters constructed in the period between 1995 - 1997 were taken in to account by overlapping the field data with the theoretical boundary of the axial stiffness. Through this the maximum axial stiffness of existing pile due to deterioration and long service time was presented for various slenderness ratio (L/D), which can be used in estimating the necessary axial stiffness of reinforcing piles(Kvr) for the vertical extension remodeling. The lower 95% value of the estimated axial stiffness of existing pile will be induced through statistical processing.

A Study on the Supply and Demand of Technical Manpower in Construction (건설기술인력의 수급효율화 방안 연구)

  • Park Hwan-Pyo;Ji Sang-Wuk;Lee Kyo-Sun;Park Sang-Hoon
    • Korean Journal of Construction Engineering and Management
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    • v.3 no.3 s.11
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    • pp.58-65
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    • 2002
  • University graduates from construction-related departments are undergoing serious difficulties in getting a job as construction companies are reluctant to employ new personnel due to the depression in the construction industry which has been downscaled in both domestic and overseas markets. In the situation is like this, statistics show that the percentage of employment among the university graduates is less than $25\%$, the unemployment problem in the construction sector has started to demand urgent countermeasures. This report anticipated demand and supply for technical man power in the field of construction in between 2002-2008. For preparation of an effectiveness of supply and demand plan on over-supplied in construction technical man power, this suggested expansion of SOC investment, induced into IT field of unemployed construction manpower, enlargement of overseas construction manpower And this considered an elastic operation of curriculum related to construction, and arranged an excess supply and demand of construction technical manpower, which has been considered to education that will meet with demand of enterprise, etc. on both side of quantity and quality simultaneously.

A New Navigation/Traveling Method in Virtual Environment (가상공간에서 새로운 이동기법에 관한 연구)

  • 권태욱;최윤철
    • Journal of Korea Multimedia Society
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    • v.3 no.3
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    • pp.224-233
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    • 2000
  • An important feature of virtual reality is the facility for the user to move around a virtual environment in a natural and easily controlled manner, Navigation. Navigation involves changing the perspective of the user in the virtual environment (VE). Natural locomotion methods are able to contribute to a sense of presence and reality. This paper focuses on the navigation method in the virtual environment, one of the major interfaces for the interactivity between human and virtual environments in virtual reality circumstances and worlds. It proposes a new navigation method: Intelligent Cruise-Control Navigation (ICCN), which provides a natural and user-centered navigation method in virtual environment and can improve the reality and the presence. Intelligent Cruise-Control Navigation is composed of three major phases: Constant Velocity Navigation, Collision Detection and Avoidance, and Path Adjustment. The ICCN can reduce the user's fatigue and improve the user's presence and reality in the virtual environment. Through the experimental study it has been determined that the ICCN will be a natural, straightforward, and useful interface in VE.

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Detection and Classification for Low-altitude Micro Drone with MFCC and CNN (MFCC와 CNN을 이용한 저고도 초소형 무인기 탐지 및 분류에 대한 연구)

  • Shin, Kyeongsik;Yoo, Sinwoo;Oh, Hyukjun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.3
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    • pp.364-370
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    • 2020
  • This paper is related to detection and classification for micro-sized aircraft that flies at low-altitude. The deep-learning based method using sounds coming from the micro-sized aircraft is proposed to detect and identify them efficiently. We use MFCC as sound features and CNN as a detector and classifier. We've proved that each micro-drones have their own distinguishable MFCC feature and confirmed that we can apply CNN as a detector and classifier even though drone sound has time-related sequence. Typically many papers deal with RNN for time-related features, but we prove that if the number of frame in the MFCC features are enough to contain the time-related information, we can classify those features with CNN. With this approach, we've achieved high detection and classification ratio with low-computation power at the same time using the data set which consists of four different drone sounds. So, this paper presents the simple and effecive method of detection and classification method for micro-sized aircraft.

Signal Processing(II)-Detection and Estimation of Random Process, Karhunen Lo$\grave{e}$ve Expansion, SVD of an Image) (신호처리(II)-Random Process의 detection 및 estimation Karhunen.Loeve의 전개, 한 서상의 SVD)

  • 안수길
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.17 no.1
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    • pp.1-9
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    • 1980
  • In this paper several basic techniques for signal processing and analysis are surveyed. Firstly by the intervention of the uncertainty principle, an equality sign may have different degree of precision if non commutable operators are applied. Seconds y maximum entropy estimate and randam process based viewpoint must be enhanced to get rid of the well established and reigning deterministic image of science. Thirdly techniques for the analysis of a signal namely detection. ess]motion and modulation are explained as well as the positive definiteness of a covariance function, Karhunen-Loeve expansion and SVD of an image.

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SNS news Recommendation by Using Cosine Similarity (코사인 유사도 기법을 이용한 뉴스 추천 시스템)

  • Kim, Simon;Kim, Hyung-Jun;Han, In-Kyu
    • Annual Conference on Human and Language Technology
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    • 2013.10a
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    • pp.163-166
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    • 2013
  • 사용자별로 SNS/RSS 구독 뉴스 분석을 통해 사용자가 관심이 있는 새로운 뉴스를 추천해 주는 시스템을 설계하고 구현한다. 뉴스 추천 시스템의 설계를 위해 전체 시스템에서 사용자와 서버에서의 작업을 명세하고, 이중에 주요 기능을 담당하는 부분을 구현한다. 구현된 주요 기능은 선호 문서가 들어왔을 때 특징을 추출하고 이를 저장하는 것과 새로운 문서가 들어왔을 때 선호 문서군과 얼마나 유사한지 판별하여 문서에 대한 추천 여부를 결정하는 것이다. 선호 문서의 특징 추출에 대해서는 형태소 분석을 통해 단어와 빈도를 추출하고 이를 누적하여 저장한다. 또한, 새로운 문서가 들어왔을 때 코사인 유사도를 계산하여 사용자가 선호하는 학습문서와의 유사도 비교를 통해 문서 추천 여부를 결정한다. 구현된 시스템에서 실제로 연관된 선호 문서군을 학습시키고, 연관된 새로운 문서 혹은 연관되지 않은 새로운 문서에 대한 추천 여부를 비교하는 것으로 시스템 정확도를 파악한다.

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Speaker Recognition Using Dynamic Time Variation fo Orthogonal Parameters (직교인자의 동적 특성을 이용한 화자인식)

  • 배철수
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.17 no.9
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    • pp.993-1000
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    • 1992
  • Recently, many researchers have found that the speaker recognition rate is high when they perform the speaker recognition using statistical processing method of orthogonal parameter, which are derived from the analysis of speech signal and contain much of the speaker's identity. This method, however, has problems caused by vocalization speed or time varying feature of speed. Thus, to solve these problems, this paper proposes two methods of speaker recognition which combine DTW algorithm with the method using orthogonal parameters extracted from $Karthumem-Lo\'{e}ve$ Transform method which applies orthogonal parameters as feature vector to ETW algorithm and the other is the method which applies orthogonal parameters to the optimal path. In addition, we compare speaker recognition rate obtained from the proposed two method with that from the conventional method of statistical process of orthogonal parameters. Orthogonal parameters used in this paper are derived from both linear prediction coefficients and partial correlation coefficients of speech signal.

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Gaze Interaction Using Half Blink Selection and The Wearable AR System (반 깜박임 선택을 이용한 응시 상호작용과 착용형 AR 시스템)

  • Park, Hyung-Min;Lee, Jae-Young;Lee, Seok-Han;Choi, Jong-Soo
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.46 no.5
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    • pp.91-100
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    • 2009
  • In this paper, we propose a wearable augmented reality system using gaze interaction. Gaze interaction has been considered to be the potential of easy, natural and fast way of interaction and becomes a suitable way in optical see-through HMD based wearable AR. Our system recognizes user's gaze point, half blink motion and displays the information of object seen by user to HMD. Half blink selection technique avoids the Midas touch problem and represents user's intention correctly. We've developed a AR annotation system and estimated the usability of gaze interaction. The accuracy and robustness of our technique is verified on the experimental results.

Reliability Assessment Based on an Improved Response Surface Method (개선된 응답면기법에 의한 신뢰성 평가)

  • Cho, Tae Jun;Kim, Lee Hyeon;Cho, Hyo Nam
    • Journal of Korean Society of Steel Construction
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    • v.20 no.1
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    • pp.21-31
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    • 2008
  • response surface method (RSM) is widely used to evaluate th e extremely smal probability of ocurence or toanalyze the reliability of very complicated structures. Althoug h Monte-Carlo Simulation (MCS) technique can evaluate any system, the procesing time of MCS dependson the reciprocal num ber of the probability of failure. The stochastic finite element method could solve thislimitation. However, it is limit ed to the specific program, in which the mean and coeficient o f random variables are programed by a perturbation or by a weigh ted integral method. Therefore, it is not aplicable when erequisite programing. In a few number of stage analyses, RSM can construct a regresion model from the response of the c omplicated structural system, thus, saving time and efort significantly. However, the acuracy of RSM depends on the dist ance of the axial points and on the linearity of the limit stat e functions. To improve the convergence in exact solution regardl es of the linearity limit of state functions, an improved adaptive response surface method is developed. The analyzed res ults have ben verified using linear and quadratic forms of response surface functions in two examples. As a result, the be st combination of the improved RSM techniques is determined and programed in a numerical code. The developed linear adapti ve weighted response surface method (LAW-RSM) shows the closest converged reliability indices, compared with quadratic form or non-adaptive or non-weighted RSMs.

A Study on the Theory of Aerial Rope Way (가공삭도의 선로이론에 대한 연구)

  • 최선호;박용수
    • Transactions of the Korean Society of Mechanical Engineers
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    • v.10 no.3
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    • pp.419-426
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    • 1986
  • In an attempt to develop a method for the design of the aerial rope way, the traditional theories of rope way were examined and compared. The resulting formulas of the traditional and approximate parabolic curve theory were summarized and those of the catenary curve theory as an exact ones were summarized and newly developed when necessary. In particular, it was found that the resulting formulas from both of these theories can fully be expressed with only three dimensionless parameters $U^{*}$, $V^{*}$, and $W^{*}$, improving compactness and generality of these formulas. Comparision of the theories were done through error analysis, and it was shown that the error of the approximate parabolic curve is of order $U^{*2}$ and $V^{*}$. From this, it was concluded that the traditional parabolic curve theory has its limitation when the rope way becomes larger or steeper, leading to the necessity of the use of catenary curve theory.ve theory.