• Title/Summary/Keyword: graph structure

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A Study on the Optimal Facility Layout Design Using an Improved Genetic Algorithm (개선된 유전자 알고리즘을 이용한 최적 공간 배치 설계에 관한 연구)

  • 한성남;이규열;노명일
    • Korean Journal of Computational Design and Engineering
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    • v.6 no.3
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    • pp.174-183
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    • 2001
  • This study proposes an improved genetic algorithm (GA) to derive solutions for facility layout problems having inner walls and passages. The proposed algorithm models the layout of facilities on a flour-segmented chromosome. Improved solutions are produced by employing genetic operations known as selection, crossover, inversion, mutation, and refinement of these genes for successive generations. All relationships between the facilities and passages are represented as an adjacency graph. The shortest path and distance between two facilities are calculated using Dijkstra's algorithm of graph theory. Comparative testing shows that the proposed algorithm performs better than other existing algorithm for the optimal facility layout design. Finally, the proposed algorithm is applied to ship compartment layout problems with the computational results compared to an actual ship compartment layout.

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A Study of Function and Analysis of ALU for Graph-based Boolean Functions (그래프 기법을 이용한 부울함수의 ALU 기능 해석에 관한 연구)

  • Woo, Kwang-Bang;Kim, Hyun-Ki;Bahk, In-Gyoo
    • Proceedings of the KIEE Conference
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    • 1987.07a
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    • pp.226-229
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    • 1987
  • This paper was aimed to, using a new data structure, develop a set of algorithms to execute the output function of Digital System. These functions were represented as directed, acyclic graphs. by applying many restrictions on vertices on graph, the efficient manipulation of boolean function was accomplished. The results were as follows; 1. A canonical representation of a boolean function was created by the reduction algorithm. 2. The operation of two functions was accomplished using t he apply algorithm, according to the binary operator. 3. The arguments having 1 as the value nf function were enumerated using the satisfy algorithm. 4. Composing TTL 74181 4-bit ALU and 74182 look-ahead carry generator, the ALU having 4-bit and 16-bit as word size was implemented.

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UPHILL ZAGREB INDICES OF SOME GRAPH OPERATIONS FOR CERTAIN GRAPHS

  • SALEH, ANWAR;BAZHEAR, SARA;MUTHANA, NAJAT
    • Journal of applied mathematics & informatics
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    • v.40 no.5_6
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    • pp.959-977
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    • 2022
  • The topological indices are numerical parameters which determined the biological, physical and chemical properties based on the structure of the chemical compounds. One of the recently topological indices is the uphill Zagreb indices. In this paper, the formulae of some uphill Zagreb indices for a few graph operations of some graphs have been derived. Furthermore, the precise formulae of those indices for the honeycomb network have been found along with their graphical profiles.

Statistical network analysis for epilepsy MEG data

  • Haeji Lee;Chun Kee Chung;Jaehee Kim
    • Communications for Statistical Applications and Methods
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    • v.30 no.6
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    • pp.561-575
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    • 2023
  • Brain network analysis has attracted the interest of neuroscience researchers in studying brain diseases. Magnetoencephalography (MEG) is especially proper for analyzing functional connectivity due to high temporal and spatial resolution. The application of graph theory for functional connectivity analysis has been studied widely, but research on network modeling for MEG still needs more. Temporal exponential random graph model (TERGM) considers temporal dependencies of networks. We performed the brain network analysis, including static/temporal network statistics, on two groups of epilepsy patients who removed the left (LT) or right (RT) part of the brain and healthy controls. We investigate network differences using Multiset canonical correlation analysis (MCCA) and TERGM between epilepsy patients and healthy controls (HC). The brain network of healthy controls had fewer temporal changes than patient groups. As a result of TERGM, on the simulation networks, LT and RT had less stable state than HC in the network connectivity structure. HC had a stable state of the brain network.

Multi-site based earthquake event classification using graph convolution networks (그래프 합성곱 신경망을 이용한 다중 관측소 기반 지진 이벤트 분류)

  • Kim, Gwantae;Ku, Bonhwa;Ko, Hanseok
    • The Journal of the Acoustical Society of Korea
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    • v.39 no.6
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    • pp.615-621
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    • 2020
  • In this paper, we propose a multi-site based earthquake event classification method using graph convolution networks. In the traditional earthquake event classification methods using deep learning, they used single-site observation to estimate seismic event class. However, to achieve robust and accurate earthquake event classification on the seismic observation network, the method using the information from the multi-site observations is needed, instead of using only single-site data. Firstly, our proposed model employs convolution neural networks to extract informative embedding features from the single-site observation. Secondly, graph convolution networks are used to integrate the features from several stations. To evaluate our model, we explore the model structure and the number of stations for ablation study. Finally, our multi-site based model outperforms up to 10 % accuracy and event recall rate compared to single-site based model.

Subgraph Searching Scheme Based on Path Queries in Distributed Environments (분산 환경에서 경로 질의 기반 서브 그래프 탐색 기법)

  • Kim, Minyoung;Choi, Dojin;Park, Jaeyeol;Kim, Yeondong;Lim, Jongtae;Bok, Kyoungsoo;Choi, Han Suk;Yoo, Jaesoo
    • The Journal of the Korea Contents Association
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    • v.19 no.1
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    • pp.141-151
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    • 2019
  • A network of graph data structure is used in many applications to represent interactions between entities. Recently, as the size of the network to be processed due to the development of the big data technology is getting larger, it becomes more difficult to handle it in one server, and thus the necessity of distributed processing is also increasing. In this paper, we propose a distributed processing system for efficiently performing subgraph and stores. To reduce unnecessary searches, we use statistical information of the data to determine the search order through probabilistic scoring. Since the relationship between the vertex and the degree of the graph network may show different characteristics depending on the type of data, the search order is determined by calculating a score to reduce unnecessary search through a different scoring method for a graph having various distribution characteristics. The graph is sequentially searched in the distributed servers according to the determined order. In order to demonstrate the superiority of the proposed method, performance comparison with the existing method was performed. As a result, the search time is improved by about 3 ~ 10% compared with the existing method.

PROGRESSIVE ALGORITHM FOR RECONSTRUCTING A 3D STRUCTURE FROM A 2D SKETCH DRAWING

  • Oh, Beom-Soo;Kim, Chang-Hun
    • Proceedings of the Korea Society for Simulation Conference
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    • 2001.10a
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    • pp.248-254
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    • 2001
  • This paper presents a progressive algorithm for reconstructing a 3D structure from a given 2D sketch drawing (edge-vertex graph without hidden line removal) according to the user's sketch order. While previous methods reconstruct a 3D structure at once, the proposed method progressively calculate a 3D structure by optimizing the coordinates of vertices of an object according to the sketch order. The progressive method reconstructs the most plausible 3D object quickly by applying 3D constraints that are derived from the relationship between the object and the sketch drawing in the optimization process. The progressive reconstruction algorithm is discussed, and examples from a working implementation are given.

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Design of New Attenuator Structure with Quad Spiral sHaped Defected Ground Structure

  • Jeong Yongwoo;ong Young-Joo;Park Hyung-Sik;Ahn Dal
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.5 no.5
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    • pp.403-408
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    • 2004
  • We suggest new attenuator design and formula using quad spiral shaped defected ground structure (DGS). Series resistors and quarter wavelength transmission line that has a role of inverter have been synthesized for attenuator design and novel attenuator structure using quad spiral shaped DGS is fabricated, the measurements show good agreement with theoretical anticipations. The suggested attenuator could remove peak of insertion loss graph through various attenuation method. The various attenuations are obtained by attached pin-diodes, 10-15dB attenuation leveling is realized for validity of suggested design.

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An Integrated VR Platform for 3D and Image based Models: A Step toward Interactivity with Photo Realism (상호작용 및 사실감을 위한 3D/IBR 기반의 통합 VR환경)

  • Yoon, Jayoung;Kim, Gerard Jounghyun
    • Journal of the Korea Computer Graphics Society
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    • v.6 no.4
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    • pp.1-7
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    • 2000
  • Traditionally, three dimension model s have been used for building virtual worlds, and a data structure called the "scene graph" is often employed to organize these 3D objects in the virtual space. On the other hand, image-based rendering has recently been suggested as a probable alternative VR platform for its photo-realism, however, due to limited interactivity. it has only been used for simple navigation systems. To combine the merits of these two approaches to object/scene representations, this paper proposes for a scene graph structure in which both 3D models and various image-based scenes/objects can be defined. traversed, and rendered together. In fact, as suggested by Shade et al. [1]. these different representations can be used as different LOD's for a given object. For in stance, an object might be rendered using a 3D model at close range, a billboard at an intermediate range. and as part of an environment map at far range. The ultimate objective of this mixed platform is to breath more interactivity into the image based rendered VE's by employing 3D models as well. There are several technical challenges in devising such a platform : designing scene graph nodes for various types of image based techniques, establishing criteria for LOD/representation selection. handling their transition s. implementing appropriate interaction schemes. and correctly rendering the overall scene. Currently, we have extended the scene graph structure of the Sense8's WorldToolKit. to accommodate new node types for environment maps. billboards, moving textures and sprites, "Tour-into-the-Picture" structure, and view interpolated objects. As for choosing the right LOD level, the usual viewing distance and image space criteria are used, however, the switching between the image and 3D model occurs at a distance from the user where the user starts to perceive the object's internal depth. Also. during interaction, regardless of the viewing distance. a 3D representation would be used, if it exists. Finally. we carried out experiments to verify the theoretical derivation of the switching rule and obtained positive results.

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An Efficient Ordering Method and Data Structure of the Interior Point Method (Putting Emphasis on the Minimum Deficiency Ordering (내부점기법에 있어서 효율적인 순서화와 자료구조(최소부족순서화를 중심으로))

  • 박순달;김병규;성명기
    • Journal of the Korean Operations Research and Management Science Society
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    • v.21 no.3
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    • pp.63-74
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    • 1996
  • Ordering plays an important role in solving an LP problem with sparse matrix by the interior point method. Since ordering is NP-complete, we try to find an efficient method. The objective of this paper is to present an efficient heuristic ordering method for implementation of the minimum deficiency method. Both the ordering method and the data structure play important roles in implementation. First we define a new heuristic pseudo-deficiency ordering method and a data structure for the method-quotient graph and cliqued storage. Next we show an experimental result in terms of time and nonzero numbers by NETLIB problems.

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