• 제목/요약/키워드: Model-matching problem

검색결과 192건 처리시간 0.024초

4차 산업 핵심기술 비교과 프로그램에 대한 여대생의 교육요구 분석 (An Analysis of the Educational Needs of Female University Students on the Informal Programs of Core Technology in the Fourth Industry)

  • 장지영;권선아
    • 공학교육연구
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    • 제23권4호
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    • pp.14-21
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    • 2020
  • The aim of this study was to establish an university informal program roadmap, and also to draw up operational plans for human resources with core technologies of the fourth industry. To do this, first we derived university informal education program draft through experts workshop, then conducted a survey regarding the female university students' perception of educational programs and their educational needs on the 4th core technology matching programs. The following main results were obtained : First, students preferred 'hands-on training' by professionals and they wanted to be trained during summer or winter holidays or the night time during semesters. Also, they thought two hours of training per session was appropriate. Regarding these results, there was no difference depending on the majors. Second, while students had highly preferred for the courses related to data analysis, Arduino programing and VR(virtual reality), those related to 3D printing modeling were less preferred. Depending on the majors, preferred courses had different priorities, but non-preferred courses were similar regardless of majors. Based on these results, the university informal curriculum model and the operation plans for the core technologies of the fourth industry were proposed.

3 차원 곡면 데이터 획득을 위한 멀티 레이져 비젼 시스템 개발 (Development of Multi-Laser Vision System For 3D Surface Scanning)

  • 이정환;권기연;이현철;도영칠;최두진;박진형;김대경;박영준
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2008년도 추계학술대회A
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    • pp.768-772
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    • 2008
  • Various scanning systems have been studied in many industrial areas to acquire a range data or to reconstruct an explicit 3D model. Currently optical technology has been used widely by virtue of noncontactness and high-accuracy. In this paper, we describe a 3D laser scanning system developped to reconstruct the 3D surface of a large-scale object such as a curved-plate of ship-hull. Our scanning system comprises of 4ch-parallel laser vision modules using a triangulation technique. For multi laser vision, calibration method based on least square technique is applied. In global scanning, an effective method without solving difficulty of matching problem among the scanning results of each camera is presented. Also minimal image processing algorithm and robot-based calibration technique are applied. A prototype had been implemented for testing.

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Credit Rationing and Trade Credit Use by Farmers in Vietnam

  • LE, Ninh Khuong;PHAN, Tu Anh;CAO, Hon Van
    • The Journal of Asian Finance, Economics and Business
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    • 제8권4호
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    • pp.171-180
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    • 2021
  • The purpose of this paper is to estimate the impact of credit rationing on the amount of trade credit used by farmers in Vietnam. This study employs a survey data collected through direct interviews with heads of 1,065 rice households randomly selected out of provinces and city in the Mekong River Delta (MRD). In each province or city, the village with the largest area of land devoted to rice production from the district with the largest area of land devoted to rice production was picked up for survey. In each village, 200 rice farmers were randomly chosen for interview. Based on a probit model and a semi-parametric propensity score matching (PSM) estimator while controlling socio-demographic traits of rice farmers, the estimated results show that non-credit rationed farmers use less trade credit to finance production compared to their credit rationed counterparts. Moreover, the amount of trade credit used by farmers decreases as the degree of credit rationing drops. This paper provides evidence of the substitutive relationship between bank credit and trade credit. It also implicitly suggests that banks can drive trade creditors out of the market if they manage to solve the problem of information asymmetry and transaction cost.

Improving Web Service Recommendation using Clustering with K-NN and SVD Algorithms

  • Weerasinghe, Amith M.;Rupasingha, Rupasingha A.H.M.
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제15권5호
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    • pp.1708-1727
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    • 2021
  • In the advent of the twenty-first century, human beings began to closely interact with technology. Today, technology is developing, and as a result, the world wide web (www) has a very important place on the Internet and the significant task is fulfilled by Web services. A lot of Web services are available on the Internet and, therefore, it is difficult to find matching Web services among the available Web services. The recommendation systems can help in fixing this problem. In this paper, our observation was based on the recommended method such as the collaborative filtering (CF) technique which faces some failure from the data sparsity and the cold-start problems. To overcome these problems, we first applied an ontology-based clustering and then the k-nearest neighbor (KNN) algorithm for each separate cluster group that effectively increased the data density using the past user interests. Then, user ratings were predicted based on the model-based approach, such as singular value decomposition (SVD) and the predictions used for the recommendation. The evaluation results showed that our proposed approach has a less prediction error rate with high accuracy after analyzing the existing recommendation methods.

Projection Method에 의한 주조 해석용 접촉 요소망 생성 기법 (Contact Element Generation Method for Casting Analysis by using Projection Method)

  • 남정호;곽시영
    • 한국주조공학회지
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    • 제40권6호
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    • pp.146-150
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    • 2020
  • In general, hot metal castings contract and molds expand during the cooling step of a casting process. Therefore, it is important to consider both the casting and mold at the same time in a casting process analysis. For a more accurate analysis that includes the contact characteristics, matching each node of the casting and mold in the contact area is recommended. However, it is very difficult to match the nodes of the casting and the mold when generating elements due to the geometric problem of CAD model data. The present study proposes a mesh generation technique that considers mechanical contact between the casting and the mold in a casting analysis (finite element analysis). The technique focuses on the fact that the mold surrounds the casting. After generating the 3D elements for the casting, the surface elements of the casting in contact with the mold are projected inside the mold to create contact elements that coincide with the contact surface of the casting. It was confirmed that high-quality contact element information and a 3D element net can be automatically generated by the method proposed in this study.

Spoken-to-written text conversion for enhancement of Korean-English readability and machine translation

  • HyunJung Choi;Muyeol Choi;Seonhui Kim;Yohan Lim;Minkyu Lee;Seung Yun;Donghyun Kim;Sang Hun Kim
    • ETRI Journal
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    • 제46권1호
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    • pp.127-136
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    • 2024
  • The Korean language has written (formal) and spoken (phonetic) forms that differ in their application, which can lead to confusion, especially when dealing with numbers and embedded Western words and phrases. This fact makes it difficult to automate Korean speech recognition models due to the need for a complete transcription training dataset. Because such datasets are frequently constructed using broadcast audio and their accompanying transcriptions, they do not follow a discrete rule-based matching pattern. Furthermore, these mismatches are exacerbated over time due to changing tacit policies. To mitigate this problem, we introduce a data-driven Korean spoken-to-written transcription conversion technique that enhances the automatic conversion of numbers and Western phrases to improve automatic translation model performance.

불확실성을 갖는 비선형 시스템의 강인한 지능형 디지털 재설계 (Robust Intelligent Digital Redesign of Nonlinear System with Parametric Uncertainties)

  • 성화창;주영훈;박진배
    • 한국지능시스템학회논문지
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    • 제16권2호
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    • pp.138-143
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    • 2006
  • 본 논문은 불확실성을 포함한 비선형 시스템에 대한 제어를 위해 강인 지능형 디지털 재설계의 전 역적 접근 방안에 대해 제안하고자 한다. 이산화를 통한 제어기 설계에 있어서 불확실성이 포함된 실시간 비선형 시스템에 대해 보다 효율적이고 안정적인 접근을 위해 T-S 퍼지 모델이 사용되었다. 그리고 전역적 접근을 위한 방안으로서 문제를 볼록 최적화 관점으로 변환 후, 오차가 가질 수 있는 놈의 영역을 최소화 하여 상태 접합을 이루고자 하였다. 또한 쌍선형과 역 쌍선형 기법을 사용함으로써 불확실성이 포함된 비선형 시스템을 보다. 더 정확하게 분석하였다. 샘플링 기간이 충분히 작다면, 불확실 비선형 시스템의 실시간 시스템으로의 전환이 충분한 이유를 가지게 된다. 전 역적 접근을 통한 디지털로 제어된 시스템은 선형 행렬 부등식 형태로 바꾸어 시스템의 안정성을 보장하고자 하였다. 마지막으로 T-S 퍼지 모델로 분석된 혼돈 Lorenz system에 적용함으로써 제안된 방법의 안정성과 효율성을 확인한다.

가중치를 이용한 센서스 변환과 가이드 필터링 기반깊이지도 생성 방법 (Weighted Census Transform and Guide Filtering based Depth Map Generation Method)

  • 문지훈;호요성
    • 전자공학회논문지
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    • 제54권2호
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    • pp.92-98
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    • 2017
  • 일반적으로 영상은 기하학적 왜곡과 방사성 왜곡을 포함하고 있다. 센서스 변환은 방사 왜곡으로 인해 발생하는 스테레오 부정합 문제를 해결할 수 있다. 일반적인 센서스 변환은 윈도우 중심 화소 값과 이웃한 화소의 값을 비교하기 때문에 화소 값의 차이가 크지 않은 경우 정확한 정합 결과를 얻기 어렵다. 이를 해결하기 위해 윈도우 내 보조 윈도우를 적용하여 화소 값 차이별로 서로 다른 4단계 가중치를 적용하는 센서스 변환 방법을 제안한다. 현재 화소 값이 보조 윈도우의 화소평균 값 보다 큰 경우 높은 가중치를 부여하고, 그렇지 않은 경우 낮은 가중치를 부여함으로서 차등적인 센서스 변환을 수행한다. 가중치를 이용한 센서스 변환 영상과 입력 영상을 이용하여 초기 변위지도를 생성한 뒤, 기울기 정보를 추가적으로 사용하여 최종 변위 지도 생성을 위한 비용 함수를 모델링한다. 최적의 비용 값을 찾기 위해 가이드 필터링을 사용하는데, 이는 입력 영상과 변위 영상을 사용하여 필터링을 수행하기 때문에 객체의 경계영이 보존될 수 있다. 실험 결과로부터 제안한 방법을 이용한 스테레오 정합 결과 성능이 기존의 방법에 비해 개선된 것을 확인하였다.

Sparsity Adaptive Expectation Maximization Algorithm for Estimating Channels in MIMO Cooperation systems

  • Zhang, Aihua;Yang, Shouyi;Li, Jianjun;Li, Chunlei;Liu, Zhoufeng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제10권8호
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    • pp.3498-3511
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    • 2016
  • We investigate the channel state information (CSI) in multi-input multi-output (MIMO) cooperative networks that employ the amplify-and-forward transmission scheme. Least squares and expectation conditional maximization have been proposed in the system. However, neither of these two approaches takes advantage of channel sparsity, and they cause estimation performance loss. Unlike linear channel estimation methods, several compressed channel estimation methods are proposed in this study to exploit the sparsity of the MIMO cooperative channels based on the theory of compressed sensing. First, the channel estimation problem is formulated as a compressed sensing problem by using sparse decomposition theory. Second, the lower bound is derived for the estimation, and the MIMO relay channel is reconstructed via compressive sampling matching pursuit algorithms. Finally, based on this model, we propose a novel algorithm so called sparsity adaptive expectation maximization (SAEM) by using Kalman filter and expectation maximization algorithm so that it can exploit channel sparsity alternatively and also track the true support set of time-varying channel. Kalman filter is used to provide soft information of transmitted signals to the EM-based algorithm. Various numerical simulation results indicate that the proposed sparse channel estimation technique outperforms the previous estimation schemes.

SIFT 특징을 이용하여 중첩상황에 강인한 AAM 기반 얼굴 추적 (Robust AAM-based Face Tracking with Occlusion Using SIFT Features)

  • 엄성은;장준수
    • 정보처리학회논문지B
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    • 제17B권5호
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    • pp.355-362
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    • 2010
  • 얼굴추적은 3차원 공간상에서 머리(head)와 안면(face)의 움직임을 추정하는 기술로, 얼굴 표정 감정인식과 같은 상위 분석단계의 중요한 기반기술이다. 본 논문에서는 AAM 기반의 얼굴추적 알고리즘을 제안한다. AAM은 변형되는 대상을 분할하고 추적하는데 광범위하게 적용되고 있다. 그러나 여전히 여러 가지 해결해야할 제약사항들이 있다. 특히 자체중첩(self-occlusion)과 부분적인 중첩, 그리고 일시적으로 완전히 가려지는 완전중첩 상황에서 보통 국부해에 수렴(local convergence)하거나 발산하기 쉽다. 본 논문에서는 이러한 중첩상황에 대한 AAM의 강인성을 향상시키기 위해서 SIFT 특징을 이용하고 있다. SIFT는 일부 영상의 특징점으로 안정적인 추적이 가능하기 때문에 자체와 부분중첩에 효과적이며, 완전중첩의 상황에도 SIFT의 전역적인 매칭성능으로 별도의 재초기화 없이 연속적인 추적이 가능하다. 또한 추적과정에서 큰 자세변화에 따른 움직임을 효과적으로 추정하기 위해서 다시점(multi-view) 얼굴영상의 SIFT 특징을 온라인으로 등록하여 활용하고 있다. 제안한 알고리즘의 이러한 강인성은 위 세 가지 중첩상황에 대해서 기존 알고리즘들과의 비교실험을 통해서 보여준다.