• 전기학회논문지
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• 제65권6호
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• pp.1052-1059
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• 2016

Video-on-Demand(VoD) is one of the most popular media streaming which attracted many researchers' attention. VMesh is one of the most cited works in the field of the VoD system. VMesh is proposed to solve the problem of random seeking functionality. However, a large number of the DHT(Distributed Hash Table) searches in VMesh is sill the main problem which needs to be solved. In order to reduce the number of the DHT searches, the clustered segment index(CSI) scheme is proposed. In this scheme, the video segments are divided into clusters. The segment information of the video segments, which are clustered into the same cluster, are stored in the same clustered segment index that can be searched by using the hash key. Each peer also can request the required segments by using this clustered segment index. The experiment results show that the number of the DHT searches in the proposed scheme is less than that of VMesh even in case of peers leave and join the network or peers perform the fast forward/backward operations.

• Computers and Concrete
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• 제15권4호
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• pp.485-501
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• 2015

Cooling by the flow of water through an embedded cooling pipe has become a common and effective artificial thermal control measure for massive concrete structures. However, an extreme thermal gradient induces significant thermal stress, resulting in thermal cracking. Using a mesoscopic finite-element (FE) mesh, three-phase composites of concrete namely aggregate, mortar matrix and interfacial transition zone (ITZ) are modeled. An equivalent probabilistic model is presented for failure study of concrete by assuming that the material properties conform to the Weibull distribution law. Meanwhile, the correlation coefficient introduced by the statistical method is incorporated into the Weibull distribution formula. Subsequently, a series of numerical analyses are used for investigating the influence of the correlation coefficient on tensile strength and the failure process of concrete based on the equivalent probabilistic model. Finally, as an engineering application, damage and failure behavior of concrete cracks induced by a water-cooling pipe are analyzed in-depth by the presented model. Results show that the random distribution of concrete mechanical parameters and the temperature gradient near water-cooling pipe have a significant influence on the pattern and failure progress of temperature-induced micro-cracking in concrete.

• 한국통신학회논문지
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• 제36권10A호
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• pp.830-838
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• 2011

최근 무선 환경에서 네트워크 효율성 증대를 위하여 네트워크 코딩에 대한 연구들이 많이 진행되고 있다. 본 논문에서는 무선 환경에서 RLNC를 적용하기 위한 고려사항들을 분석해 본다. 우선 기존의 멀티캐스트에서 사용하는 방식으로 우선 분산 환경에 RLNC에 적용 가능한지 살펴보았다. 시뮬레이션 결과 멀티캐스트에서 사용하는 방식대로 적용한 RLNC에서는 디코딩 실패가 발생하였고, X 구조에서 인코딩과 디코딩을 모두 수행하여 디코딩 실패를 제거한 RLNC는 전송 이득이 많지 않았다. 또한 본 논문에서는 hidden 노드 문제, 코딩 기회 분석, RLNC 오버헤드 등의 무선 환경에서 실제적인 고려사항을 분석해 보았다.

• Geomechanics and Engineering
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• 제17권6호
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• pp.565-572
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• 2019

Spatial variability is an inherent characteristic of soil, and auto-correlation length (ACL) is a very important parameter in the reliability or probabilistic analyses of geotechnical engineering that consider the spatial variability of soils. Current methods for estimating the ACL need a large amount of laboratory or in-situ experiments, which is a great obstacle to the application of random field theory to geotechnical reliability analysis and design. To estimate the ACL reasonably and efficiently, we propose a micro-structure based numerical simulation method. The quartet structure generation set algorithm is used to generate stochastic numerical micro-structure of soils, and scanning electron microscope test of soil samples combined with digital image processing technique is adopted to obtain parameters needed in the QSGS algorithm. Then, 2-point correlation function is adopted to calculate the ACL based on the generated numerical micro-structure of soils. Results of a case study shows that the ACL can be estimated efficiently using the proposed method. Sensitivity analysis demonstrates that the ACL will become stable with the increase of mesh density and model size. A model size of $300{\times}300$ with a grid size of $1{\times}1$ is suitable for the calculation of the ACL of clayey soils.

• 산업경영시스템학회지
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• 제41권4호
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• pp.123-130
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• 2018

Triangulation is one of the fundamental problems in computational geometry and computer graphics community, and it has huge application areas such as 3D printing, computer-aided engineering, surface reconstruction, surface visualization, and so on. The Delaunay refinement algorithm is a well-known method to generate quality triangular meshes when point cloud and/or constrained edges are given in two- or three-dimensional space. In this paper, we propose a simple but efficient algorithm to triangulate Voronoi surfaces of Voronoi diagram of spheres in 3-dimensional Euclidean space. The proposed algorithm is based on the Ruppert's Delaunay refinement algorithm, and we modified the algorithm to be applied to the triangulation of Voronoi surfaces in two ways. First, a new method to deciding the location of a newly added vertex on the surface in 3-dimensional space is proposed. Second, a new efficient but effective way of estimating approximation error between Voronoi surface and triangulation. Because the proposed algorithm generates a triangular mesh for Voronoi surfaces with guaranteed quality, users can control the level of quality of the resulting triangulation that their application problems require. We have implemented and tested the proposed algorithm for random non-intersecting spheres, and the experimental result shows the proposed algorithm produces quality triangulations on Voronoi surfaces satisfying the quality criterion.

• International Journal of Computer Science & Network Security
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• 제23권8호
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• pp.26-32
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• 2023

Hajj is a fundamental pillar of Islam that all Muslims must perform at least once in their lives. However, Umrah can be performed several times yearly, depending on people's abilities. Every year, Muslims from all over the world travel to Saudi Arabia to perform Hajj. Hajj and Umrah pilgrims face multiple issues due to the large volume of people at the same time and place during the event. Therefore, a system is needed to facilitate the people's smooth execution of Hajj and Umrah procedures. Multiple devices are already installed in Makkah, but it would be better to suggest the data architectures with the help of machine learning approaches. The proposed system analyzes the services provided to the pilgrims regarding gender, location, and foreign pilgrims. The proposed system addressed the research problem of analyzing the Hajj pilgrim dataset most effectively. In addition, Visualizations of the proposed method showed the system's performance using data architectures. Machine learning algorithms classify whether male pilgrims are more significant than female pilgrims. Several algorithms were proposed to classify the data, including logistic regression, Naive Bayes, K-nearest neighbors, decision trees, random forests, and XGBoost. The decision tree accuracy value was 62.83%, whereas K-nearest Neighbors had 62.86%; other classifiers have lower accuracy than these. The open-source dataset was analyzed using different data architectures to store the data, and then machine learning approaches were used to classify the dataset.

• ETRI Journal
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• 제46권2호
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• pp.165-174
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• 2024

We propose a method to suppress the speckle noise and blur effects of the light field extracted from a hologram using a deep-learning technique. The light field can be extracted by bandpass filtering in the hologram's frequency domain. The extracted light field has reduced spatial resolution owing to the limited passband size of the bandpass filter and the blurring that occurs when the object is far from the hologram plane and also contains speckle noise caused by the random phase distribution of the three-dimensional object surface. These limitations degrade the reconstruction quality of the hologram resynthesized using the extracted light field. In the proposed method, a deep-learning model based on a generative adversarial network is designed to suppress speckle noise and blurring, resulting in improved quality of the light field extracted from the hologram. The model is trained using pairs of original two-dimensional images and their corresponding light-field data extracted from the complex field generated by the images. Validation of the proposed method is performed using light-field data extracted from holograms of objects with single and multiple depths and mesh-based computer-generated holograms.

• 한국산업보건학회지
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• 제19권1호
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• pp.39-50
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• 2009

This study is for the occurrence types of asbestos within 2 serpentinite mines, Baekdong and Kwangsi, Chungnam. They were exploited as serpentinite mines for several decades and closed in the 1980's. Asbestos with associated minerals were collected from the serpentinite bodies. They were examined with microscopes and FESEM, and analysed with EPMA, XRD and EDX to confirm for the types and/or compositions of the minerals. The serpentinites contain asbestos and nonasbestos minerals. Asbestos include chrysotile, tremolite and actinolite. The chrysotiles occur as veins of several mm to cm thickness with random directions. The tremolite and actinolite occur along cracks and fractures of several cm to ten cm thickness. They show mineralogical characteristics showing common asbestos under the microscope. Non-asbestos including chrysotile, lizardite, antigorite, tremolite and actinolite were also found within the serpentinite. The serpentines form pseudomorphic mesh textures, and also show hourglass or ribbon textures. The tremolite and actinolite were formed from the alterations of the pyroxenes and amphiboles, and plot between tremolite and magnesio hornblende. Tremolitic grains are colorless and occur as commonly elongated grains whereas the magnesio hornblende grains mainly show light green and occur as subhedral to euhedral grains. Overall results suggest that three types of asbestos are found in the Baekdong and Kwangsi serpentinite mines with varieties of the occurrences. Based on the occurrence types for the asbestos, additional studies are required for the asbestos of the top soil and the air.

• 한국산업융합학회 논문집
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• 제20권5호
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• pp.359-364
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• 2017

A machine such as bean crusher machine is subjected to different loads and vibration. Due to this vibration there will be certain deformations which affect the performance of the machine in adverse manner. This paper proposed a vibration analysis of bean crusher machine using ANSYS. The Finite Element Method (FEM) analysis is carried out to study the effect of vibration on the structure in order to ensure the safety. This work helps the machine developer make a better product at the early design stage with lower cost and faster development time. To do this, firstly, using Inventor, a CAD model is prepared. Secondly, the analysis is to be carried out using ANSYS 15. The modal analysis and random vibration analysis of the structure was conducted. The analysis shows that the proposed design was successfully shows the minimum deformation when the vibration was applied in normal condition.

• 전자공학회논문지
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• 제50권7호
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• pp.131-139
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• 2013

기존 전기적 상호 연결을 사용한 네트워크-온-칩(Network-on-Chip, NoC)의 전력 및 성능 한계를 보완하고자 광학적 상호연결을 이용하는 하이브리드 광학 네트워크-온-칩(HONoC)이 등장하였다. 하지만 HONoC에서는 광학적 소자 특성으로 인해 서킷 스위칭을 사용함으로써 경로 충돌이 빈번하게 발생하며 이로 인해 지연 시간 불균형의 문제가 심화되어 전체적인 시스템 성능에 악영향을 미치게 된다. 본 논문에서는 경로 충돌을 최소화 시켜 지연 시간을 최적화 할 수 있는 새로운 태스크 매핑 알고리즘을 제안하였다. HONoC 환경에서 태스크를 각 Processing Element (PE)에 할당하고 경로 충돌을 최소화하며, 부득이한 경로 충돌의 경우 워스트 케이스 (worst case) 지연 시간을 최소화 할 수 있도록 하였다. 모의실험 결과를 통해 무작위 매핑 방식, 대역폭 제한 매핑 방식과 비교하여, 제안된 알고리즘이 $4{\times}4$ 메시 토폴로지에서는 평균 43%, $8{\times}8$ 메시 토폴로지에서는 평균 61%의 지연 시간 단축 효과가 있음을 확인할 수 있었다.