• 제목/요약/키워드: optimal embedding

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Node2vec 그래프 임베딩과 Light GBM 링크 예측을 활용한 식음료 산업의 수출 후보국가 탐색 연구 (A Study on Searching for Export Candidate Countries of the Korean Food and Beverage Industry Using Node2vec Graph Embedding and Light GBM Link Prediction)

  • 이재성;전승표;서진이
    • 지능정보연구
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    • 제27권4호
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    • pp.73-95
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    • 2021
  • 본 연구는 Node2vec 그래프 임베딩 방법과 Light GBM 링크 예측을 활용해 우리나라 식음료 산업의 미개척 수출 후보국가를 탐색한다. Node2vec은 네트워크의 공통 이웃 개수 등을 기반으로 하는 기존의 링크 예측 방법에 비해 상대적으로 취약하다고 알려져 있던 네트워크의 구조적 등위성 표현의 한계를 개선한 방법이다. 따라서 해당 방법은 네트워크의 커뮤니티 탐지와 구조적 등위성 모두에서 우수한 성능을 나타내는 것으로 알려져 있다. 이에 본 연구는 이상의 방법을 우리나라 식음료 산업의 국제 무역거래 정보에 적용했다. 이를 통해 해당 산업의 글로벌 가치사슬 관계에서 우리나라의 광범위한 마진 다각화 효과를 창출하는데 기여하고자 한다. 본 연구의 결과를 통해 도출된 최적의 예측 모델은 0.95의 정밀도와 0.79의 재현율을 기록하며 0.86의 F1 score를 기록해 우수한 성능을 나타냈다. 이상의 모델을 통해 도출한 우리나라의 잠재적 수출 후보국가들의 결과는 추가 조사를 통해 대부분 적절하게 나타난 것을 알 수 있었다. 이상의 내용을 종합하여 본 연구는 Node2vec과 Light GBM을 응용한 링크 예측 방법의 실무적 활용성에 대해 시사할 수 있었다. 그리고 모델을 학습하며 링크 예측을 보다 잘 수행할 수 있는 가중치 업데이트 전략에 대해서도 유용한 시사점을 도출할 수 있었다. 한편, 본 연구는 그래프 임베딩 기반의 링크 예측 관련 연구에서 아직까지 많이 수행된 적 없는 무역거래에 이를 적용했기에 정책적 활용성도 갖고 있다. 본 연구의 결과는 최근 미중 무역갈등이나 일본 수출 규제 등과 같은 글로벌 가치사슬의 변화에 대한 빠른 대응을 지원하며 정책적 의사결정을 위한 도구로써 충분한 유용성이 있다고 생각한다.

열 기울기를 고려한 클락 스큐 최소화 기법 (A Clock Skew Minimization Technique Considering Temperature Gradient)

  • 고세진;임재호;김기영;김석윤
    • 대한전자공학회논문지SD
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    • 제47권7호
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    • pp.30-36
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    • 2010
  • 발달로 인해 칩의 집적도가 향상되고, 그에 따라 칩 내의 전류밀도가 증가하게 되었다. 이는 칩의 온도가 상승하는 효과를 가져오게 되고, 또한 거리에 따른 온도의 변화를 증가시키는 요인이 된다. 본 논문은 칩 내의 온도의 기울기 때문에 발생되는 클락의 스큐를 최소화하기 위한 균형 스큐 트리를 생성하는 기법을 제안한다. 제안한 기법은 Elmore 지연 수식을 이용하여 연결선의 지연을 구하고 DME(Deferred Merge Embedding) 알고리즘을 통해 만들어진 클락 트리를 변형시키면서 최적의 균형 스큐 트리를 찾는다. 제안한 기법의 성능 평가를 위하여 C 언어로 제안된 기법을 구현하였고, 온도의 기울기 때문에 발생한 클락 삽입 지점을 평균 약 54%이하로 수축시킬 수 있다는 것을 시뮬레이션 결과로 보였으며, 스큐가 현저히 낮아지는 것을 확인하였다.

Faster Ate Pairing Computation over Pairing-Friendly Ellipitic Curves Using GLV Decomposition

  • Eom, Soo Kyung;Lee, Eunjeong;Lee, Hyang-Sook
    • ETRI Journal
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    • 제35권5호
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    • pp.880-888
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    • 2013
  • The preexisting pairings ate, $ate_i$, R-ate, and optimal-ate use q-expansion, where q is the size of the defining field for the elliptic curves. Elliptic curves with small embedding degrees only allow a few of these pairings. In such cases, efficiently computable endomorphisms can be used, as in [11] and [12]. They used the endomorphisms that have characteristic polynomials with very small coefficients, which led to some restrictions in finding various pairing-friendly curves. To construct more pairing-friendly curves, we consider ${\mu}$-expansion using the Gallant-Lambert-Vanstone (GLV) decomposition method, where ${\mu}$ is an arbitrary integer. We illustrate some pairing-friendly curves that provide more efficient pairing from the ${\mu}$-expansion than from the ate pairing. The proposed method can achieve timing results at least 20% faster than the ate pairing.

분산 구동 메커니즘을 내장한 로봇 핑거의 정밀 자세 제어기 설계 (Precise Control Law Design of Robot Finger Embedding Distributed Actuation Mechanism)

  • 신영준;김경수;김수현
    • 제어로봇시스템학회논문지
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    • 제16권9호
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    • pp.846-851
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    • 2010
  • In this paper, we newly propose a novel control strategy of a three joints-robot finger for the purpose of artificial hands. The robot finger is specifically modeled by using a 3D CAD program (CATIA), considering human fingers, and then the proposed control method is verified through the dynamic simulation tool (Simulink and Recurdyn R2). Each slider is individually controlled to be located at the optimal positions where the maximal joint torque can be generated. To prove the effectiveness of the proposed control method, we devise two cases for the reference position of sliders. By comparing the control performance of two cases, the validity of the proposed control method will be verified.

A New Distance Measure for a Variable-Sized Acoustic Model Based on MDL Technique

  • Cho, Hoon-Young;Kim, Sang-Hun
    • ETRI Journal
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    • 제32권5호
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    • pp.795-800
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    • 2010
  • Embedding a large vocabulary speech recognition system in mobile devices requires a reduced acoustic model obtained by eliminating redundant model parameters. In conventional optimization methods based on the minimum description length (MDL) criterion, a binary Gaussian tree is built at each state of a hidden Markov model by iteratively finding and merging similar mixture components. An optimal subset of the tree nodes is then selected to generate a downsized acoustic model. To obtain a better binary Gaussian tree by improving the process of finding the most similar Gaussian components, this paper proposes a new distance measure that exploits the difference in likelihood values for cases before and after two components are combined. The mixture weight of Gaussian components is also introduced in the component merging step. Experimental results show that the proposed method outperforms MDL-based optimization using either a Kullback-Leibler (KL) divergence or weighted KL divergence measure. The proposed method could also reduce the acoustic model size by 50% with less than a 1.5% increase in error rate compared to a baseline system.

평판의 국부적인 기하학적 변형을 모사하는 등가 요소 생성 (Dynamically equivalent element for an emboss embedded in a plate)

  • 송경호;박윤식
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2002년도 추계학술대회논문집
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    • pp.301-305
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    • 2002
  • Among many structural dynamics modification methods for plate and shell vibration problems, embedding an emboss to the surface is very efficient. But deciding an optimal position and shape using optimization algorithm needs defining geometry and remeshing the model for every iteration step to implement the method, which takes much numerical cost. An equivalent element produced here lessen the cost by representing the geometrical characteristics of an emboss using the element's material properties and thickness becoming a geometrically homogenous element of the base plate or shell. Some efficient factors which let the equivalent system have the same dynamical response as the original system embedded with emboss will be shown and the degree of equivalence will be tested in terms of natural frequency matching.

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3차원 Hybrid IC 배치를 위한 기둥첩 블록의 층할당 (Layer Assignment of Functional Chip Blocks for 3-D Hybrid IC Planning)

  • 이평한;경종민
    • 대한전자공학회논문지
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    • 제24권6호
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    • pp.1068-1073
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    • 1987
  • Traditional circuit partitioning algorithm using the cluster development method, which is suitable for such applications as single chip floor planning or multiple layer PCB system placement, where the clusters are formed so that inter-cluster nets are localized within the I/O connector pins, may not be appropriate for the functiona block placement in truly 3-D electronic modules. 3-D hybrid IC is one such example where the inter-layer routing as well as the intra-layer routing can be maximally incorporated to reduce the overall circuit size, cooling requirements and to improve the speed performance. In this paper, we propose a new algorithm called MBE(Minimum Box Embedding) for the layer assignment of each functional block in 3-D hybrid IC design. The sequence of MBE is as follows` i) force-directed relaxation in 3-D space, ii) exhaustive search for the optimal orientation of the slicing plane and iii) layer assignment. The algorithm is first explaines for a 2-D reduced problem, and then extended for 3-D applications. An example result for a circuit consisting of 80 blocks has been shown.

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단일연결 제약하의 설비입지를 고려한 망설계 문제의 쌍대기반 해법 (A dual based heuristic for the hub location and network design problem with single assignment constraint)

  • 윤문길
    • 한국경영과학회지
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    • 제25권1호
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    • pp.67-84
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    • 2000
  • In this paper, we address a network design problem including the decision of hub facility locatiions which is typically found in a communicatio and a transportation network design studies. Due to the administrative and the geographical restrictions, it is common to assume that each user should be assigned to only one hub facility. To construct such a network, three types of network costs should be considered: the fixed costs of establishing the hubs and the arcs in the network, and the variable costs associated with transversing the network. The complex problem is formulated as a mixed IP embedding a multicommodity flow problem. Exploiting its special structure, a dual-based heuristic is then developed, which yields near-optimal design plans. The test results indicate that the heuristic is an effective way to solve this computationally complex problem.

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토러스 다중컴퓨터를 위한 입출력 자원의 배치와 성능 분석 (Placement and Performance Analysis of I/O Resources for Torus Multicomputer)

  • 안중석
    • 한국시뮬레이션학회논문지
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    • 제6권2호
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    • pp.89-104
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    • 1997
  • Performance bottleneck of parallel computer systems has mostly been I/O devices because of disparity between processor speed and I/O speed. Therefore I/O node placement strategy is required such that it can minimize the number of I/O nodes, I/O access time and I/O traffic in an interconnection network. In this paper, we propose an optimal distance-k embedding algorithm, and analyze its effect on system performance when this algorithm is applied to n x n torus architecture. We prove this algorithm is an efficient I/O node placement using software simulation. I/O node placement using the proposed algorithm shows the highest performance among other I/O node placements in all cases. It is because locations of I/O nodes are uniformly distributed in the whole network, resulting in reduced traffic in the intE'rconnection network.

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멀티웨이브릿 변환 기반에서 연속 부대역 양자화 및 지각 모델을 이용한 적응 워터마킹 기술 (Adaptive Watermarking Using Successive Subband Quantization and Perceptual Model Based on Mukiwavelet Transform)

  • 권기룡;강균호;조영웅;문광석;이준재
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 하계종합학술대회 논문집(4)
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    • pp.121-124
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    • 2002
  • This paper presents an adaptive digital image watermarking scheme that uses successive subband quantization (SSQ) and perceptual modeling. Our approach performs a multiwavelet transform to determine the local image properties optimal and the watermark embedding location. The multiwavelet used in this paper is the DGHM multiwavelet with approximation order 2 to reduce artifacts in the reconstructed image. A watermark is embedded into the perceptually significant coefficients (PSC) of the image in each subband. The PSCs in high frequency subbands are selected by setting the thresholds to one half of the largest coefficient in each subband. After the PSCs in each subband are selected, a perceptual model is combined with a stochastic approach based on the noise visibility function to produce the final watermark.

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