• Journal of Electrical Engineering and information Science
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• 제2권6호
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• pp.74-81
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• 1997

Xcent-Net is a new system network designed to support a clustered SMP called SPAX(Scalable Parallel Architecture based on Xbar) that is being developed by ETRI. It is a duplicated hierarchical crossbar network to provide the connections among 16 clusters of 128 nodes. Xcent-Net is designed as a packet switched, virtual cut-through routed, point-to-point network. Variable length packets contain up to 64 bytes of data. The packets are transmitted via full duplexed, 32-bit wide channels using source synchronous transmission technique. Its plesiochronous clocking scheme eliminates the global clock distribution problem. Two level priority-based round-robin scheme is adopted to resolve the traffic congestion. Clear-to-send mechanism is used as a packet level flow control scheme. Most of functions are built in Xcent router, which is implemented as an ASIC. This paper describes the architecture and the functional features of Xcent-Net and discusses its implementation.

• 대한전기학회논문지
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• 제40권3호
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• pp.299-307
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• 1991

This paper deals with the determination of a firing sequence of transitions in the reachability problem of Safe Petri Net. The determination problem of a firing sequence is very important from the point of practical view, especially in the control of the discrete systems modelled by Safe Petri Net. The determination method of a firing sequence of transitions by means of the matrix equation for the discrete systems modelled by Safe Petri Net is proposed. First, a construction method of the indicence matrix and the firing rule for Safe Petri Net with self-loop are presented by defining the permissive arc in place of self-loop. Next, we develop a method that can find the enable transitions of Safe Petri Net by means of the matrix equation of Safe Petri Net. Finally, by using this method, we propose an algorithm that determines the firing sequence of transitions of Safe Petri Net.

• Journal of Information Processing Systems
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• 제17권4호
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• pp.787-800
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• 2021

Three-dimensional (3D) object classification tasks using point clouds are widely used in 3D modeling, face recognition, and robotic missions. However, processing raw point clouds directly is problematic for a traditional convolutional network due to the irregular data format of point clouds. This paper proposes a pointwise convolution neural network (CNN) structure that can process point cloud data directly without preprocessing. First, a 2D convolutional layer is introduced to percept coordinate information of each point. Then, multiple 2D convolutional layers and a global max pooling layer are applied to extract global features. Finally, based on the extracted features, fully connected layers predict the class labels of objects. We evaluated the proposed pointwise CNN structure on the ModelNet10 dataset. The proposed structure obtained higher accuracy compared to the existing methods. Experiments using the ModelNet10 dataset also prove that the difference in the point number of point clouds does not significantly influence on the proposed pointwise CNN structure.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권8호
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• pp.1976-1995
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• 2023

The anchor-free object detector CenterNet regards the object as a center point and predicts it based on the Gaussian circle region. For each object's center point, CenterNet directly regresses the width and height of the objects and finally gets the boundary range of the objects. However, the critical range of the object's center point can not be accurately limited by using the Gaussian circle region to constrain the prediction region, resulting in many low-quality centers' predicted values. In addition, because of the large difference between the width and height of different objects, directly regressing the width and height will make the model difficult to converge and lose the intrinsic relationship between them, thereby reducing the stability and consistency of accuracy. For these problems, we proposed a center point prediction method based on the Gaussian elliptic region and a size component regression method based on the small solution space. First, we constructed a Gaussian ellipse region that can accurately predict the object's center point. Second, we recode the width and height of the objects, which significantly reduces the regression solution space and improves the convergence speed of the model. Finally, we jointly decode the predicted components, enhancing the internal relationship between the size components and improving the accuracy consistency. Experiments show that when using CenterNet as the improved baseline and Hourglass-104 as the backbone, on the MS COCO dataset, our improved model achieved 44.7%, which is 2.6% higher than the baseline.

• 전자공학회논문지A
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• 제32A권1호
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• pp.222-233
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• 1995

For effective module generation, a detailed router which can handle complicated routing regions on multimple layers of interconnection under various constraints is necessary. In this paper, a new improved maze routing technique is described, which can find the shortest path for each net without allowing stacked vias. In this method, two cost values are stored at each grid point. The cost values represent the routing costs from the terminal of the net being routed to the grid point. One cost value shows the cost of the shortest path without making a via at the grid point and the other cost value shows that with making a via at the grid point. This is the first systematic maze routing technique which can find the shortest path without via-stacking.

• 한국건설순환자원학회논문집
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• 제8권4호
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• pp.545-552
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• 2020

본 연구에서는 터널 지보재로서의 역학적 성능을 충분히 발휘하면서 시공성 및 안정성을 보다 향상시키기 위한 목적으로 개발된 숏크리트용 섬유 그물망 일체형 터널 지보시스템의 지보 성능을 4점 굽힘 시험, 2차원 유한요소해석 및 단면 해석을 통해 평가하였다. 4점 굽힘 시험을 통한 휨 성능 평가 결과, 섬유 그물망 보강 숏크리트의 경우, 강섬유 보강 숏크리트와는 달리 섬유 그물망의 인장 성능이 발휘되면서 균열 이후에도 하중이 지속적으로 증가하는 결과가 나타났다. 또한, 지반 조건에 대한 터널 단면 구조 해석, 섬유 그물망 및 강섬유 보강 숏크리트의 단면 해석 결과, 섬유 그물망 보강 숏크리트의 타설 두께를 기존에 비해 감소시켜도 충분한 지보 성능이 발휘될 수 있는 것으로 나타났다. 추가적으로, 이와 같은 결과를 종합하여, 암반등급 3등급 지반 중 보다 높은 안정성을 요구하는 시공 구간에 효율적으로 적용될 수 있는 숏크리트용 섬유 그물망 일체형 터널 지보시스템의 지보패턴이 제안되었다.

• 대한산업공학회지
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• 제21권4호
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• pp.529-540
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• 1995

The paper deals with a procedure for constructing a composite surface interpolating a polygonal curve mesh defined from 3D scattered points. The procedure consists of a poly-angulation, construction of a curve net, and interpolation of the curve net. The poly-angulation contains a stage that changes a triangular edge net obtained from a triangulation into a poly-angular edge net. A curve net is constructed by replacing edges on the edge net with cubic Bezier curves. Finally, inside of an n-sided polygon is interpolated by n subdivided triangular subpatches. The method interpolates given point data with relatively few triangular subpatches. For an n-sided polygon, our method constructs an interpolant with n subdivided triangular subpatches while the existing triangular surface modeling needs 3(n-2) subpatches. The obtained surface is composed of quartic triangular patches which are $G^1$-continuous to adjacent patches.

• 한국통신학회논문지
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• 제19권2호
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• pp.322-330
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• 1994

고도지능망의 개념모델에서는 총괄기능평면에서 다양한 지능망서비스 제공을 위하여 서비스에 독립적인 기능블럭인 SIB(service indenpendent building block)을 정의하고 있다. 본 논문은 이중에서 가장 근간이 되는 기본호처리 SIB를 위한 지능망교환기(SSP: service switching point)와 서비스제어시스템(SCP: service control point) 간의 프로토콜 모델링에 대하여 기술하였다. 모델링을 위하여 Petri Net를 이용하며, 도달성 트리(reachability tree)를 분석하여 모델에 대한 검증을 한다. 본 논문의 결과는 고도지능망 기본호처리 SIB 설계와 구현을 위하여 이용될 수 있을 것이다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2004년도 ICCAS
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• pp.903-907
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• 2004

This paper introduces LnCP(Living Network Control Protocol)-based home network system and proposes high level message which is utilized between LnCP Home network Server and User Control Point. LnCP is very optimized protocol for digital home appliances. Then proposed system and implementation of these ideas are presented.

• 수산해양기술연구
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• 제37권1호
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• pp.24-34
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• 2001

정치망 원통의 거동을 장기선 방식으로 측정할 수 있는 계류식 수중위치측정시스템을 제작하고, 그 실용성을 확인하기 위하여 소조기 (2000. 10. 6)와 대조기 (2000. 11. 28)에 현장실험을 실시하였다. 현장실험에서 4개의 트랜스폰더는 원통의 남북방향으로 부착시키고, 1개의 트랜스폰더는 해저에 고정시켰다. 그리고, 원통까래의 상하진동은 3개의 테이터로거를 원통의 동서방향 (원통의 길이 방향)으로 부착시켜 대조기에 관측하였다. 소조기에 측정한 원통의 동서방향, 남북방향, 상하방향의 변화폭은 각각 3.2 m, 3.4 m, 2.1 m이었고, 대조기에는 각각 7.8 m, 7.8 m, 5.0 m로 소조기보다 2.3배 이상 컸다. 원통까래의 상하진동폭은 비탈그물에 가까운 쪽이 3.2 m, 중앙부가 3.7 m, 머거리쪽이 8.4 m이었다. 전반적으로 유속이 10 cm/s 이상일 때와 흐름의 방향이 원통의 길이방향과 일치하지 않을 때에 까래의 심도 감소와 상하진동이 빈번하게 발생하였다. 해저에 고정시킨 트랜스폰더를 사용하여 수파기 좌표의 변동을 측정한 결과, 정치망 사개에 부착한 수파기라도 흐름에 의해 그 좌표가 수 m 정도 변함을 알 수 있었고, 정치망의 거동 측정시 이러한 좌표의 변동을 보정하여야 측정오차를 줄일 수 있음을 알 수 있었다. 본 연구에서 제작한 3차원 수중위치측정시스템의 위치오차는 가두리에서 측정한 결과, x축, y축, z축이 각각 0.6 m, 0.8 m, 1.2 m이었고, 기선의 내부이거나 기선에 가까울수록 작았다.