• Title/Summary/Keyword: 다중 그리드

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A WPAN Protocol for N-Screen Services in Indoor and Ship Area Networks (선박 및 실내 N-스크린 서비스를 위한 WPAN 프로토콜)

  • Hur, Kyeong;Lee, Seong Ro
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.40 no.6
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    • pp.1185-1192
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    • 2015
  • A wireless bridge is essential to transmit control and managing information to sensors or instruments from a central integrated ship area network station. In this paper, a WPAN protocol is adopted for development of a seamless N-screen wireless service in Indoor and Ship Area Networks. Furthermore, to provide the OSMU (One Source Multi Use) N-screen service through P2P streaming in the seamless WPAN protocol, a Grid-based WPAN networking technology is proposed and analyzed. The proposed Grid-based WPAN networking technology supports multi-path and fast path-setup functions for N-screen communications. The simulation results demonstrate that the proposed Grid-based WPAN networking technology outperforms the IEEE 802.15.4 based network in terms of N-screen transmission delay.

Model based Facial Expression Recognition using New Feature Space (새로운 얼굴 특징공간을 이용한 모델 기반 얼굴 표정 인식)

  • Kim, Jin-Ok
    • The KIPS Transactions:PartB
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    • v.17B no.4
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    • pp.309-316
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    • 2010
  • This paper introduces a new model based method for facial expression recognition that uses facial grid angles as feature space. In order to be able to recognize the six main facial expression, proposed method uses a grid approach and therefore it establishes a new feature space based on the angles that each gird's edge and vertex form. The way taken in the paper is robust against several affine transformations such as translation, rotation, and scaling which in other approaches are considered very harmful in the overall accuracy of a facial expression recognition algorithm. Also, this paper demonstrates the process that the feature space is created using angles and how a selection process of feature subset within this space is applied with Wrapper approach. Selected features are classified by SVM, 3-NN classifier and classification results are validated with two-tier cross validation. Proposed method shows 94% classification result and feature selection algorithm improves results by up to 10% over the full set of feature.

Method to Reduce the Time when Identifying RFID Tag by using Computational Grid (계산 그리드를 이용한 대량의 RFID 태그 판별 시간 단축 방법)

  • Shin, Myeong-Sook;Lee, Joon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.5 no.5
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    • pp.547-554
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    • 2010
  • RFID is core technology to lead ubiquitous computing, and attract the notice of the world. It also improves social transparency, creates employment, and invigorates the allied industries. However, The technical characteristic with RFID has some problems with security and privacy. The commercialization of RFID is delayed due to these problems. This paper introduces the technical method to find solutions about an invasion of privacy to be due to introduce RFID system. First, this method applies Hash-Chain proposed by M. Ohkubo and some other researchers. The more tags increase, the more it demands lots of computation time. We divide SPs equally to solve these problems. And then, We'll suggest solutions to shorten the identification time of tag by implementing SPs with multi nodes of Grid environment at the same time. This makes it possible to keep the privacy protection of RFID tag, and process RFID tag in real time at the same time.

An algebraic multigrids based prediction of a numerical solution of Poisson-Boltzmann equation for a generation of deep learning samples (딥러닝 샘플 생성을 위한 포아즌-볼츠만 방정식의 대수적 멀티그리드를 사용한 수치 예측)

  • Shin, Kwang-Seong;Jo, Gwanghyun
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.2
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    • pp.181-186
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    • 2022
  • Poisson-Boltzmann equation (PBE) is used to model problems arising from various disciplinary including bio-pysics and colloid chemistry. Therefore, to predict a numerical solution of PBE is an important issue. The authors proposed deep learning based methods to solve PBE while the computational time to generate finite element method (FEM) solutions were bottlenecks of the algorithms. In this work, we shorten the generation time of FEM solutions in two directions. First, we experimentally find certain penalty parameter in a bilinear form. Second, we applied algebraic multigrids methods to the algebraic system so that condition number is bounded regardless of the meshsize. In conclusion, we have reduced computation times to solve algebraic systems for PBE. We expect that algebraic multigrids methods can be further employed in various disciplinary to generate deep learning samples.

Learning Spatio-Temporal Topology of a Multiple Cameras Network by Tracking Human Movement (사람의 움직임 추적에 근거한 다중 카메라의 시공간 위상 학습)

  • Nam, Yun-Young;Ryu, Jung-Hun;Choi, Yoo-Joo;Cho, We-Duke
    • Journal of KIISE:Computing Practices and Letters
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    • v.13 no.7
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    • pp.488-498
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    • 2007
  • This paper presents a novel approach for representing the spatio-temporal topology of the camera network with overlapping and non-overlapping fields of view (FOVs) in Ubiquitous Smart Space (USS). The topology is determined by tracking moving objects and establishing object correspondence across multiple cameras. To track people successfully in multiple camera views, we used the Merge-Split (MS) approach for object occlusion in a single camera and the grid-based approach for extracting the accurate object feature. In addition, we considered the appearance of people and the transition time between entry and exit zones for tracking objects across blind regions of multiple cameras with non-overlapping FOVs. The main contribution of this paper is to estimate transition times between various entry and exit zones, and to graphically represent the camera topology as an undirected weighted graph using the transition probabilities.

Implementation and Performance Analysis of PLC Scheme based on SISO/MIMO-OFDM using MRC (최대비 합성법을 이용한 SISO/MIMO-OFDM 기반 전력선 통신 방식 구현 및 성능분석)

  • Yoo, Jeong-Hwa;Choe, Sang-Ho
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.2B
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    • pp.176-183
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    • 2011
  • In this paper, we propose the implementation and performance analysis of power line communication based on SISO/MIMO-OFDM which focuses on high speed data transmission in smart grid and future power line grid. We employ Zimmermann frequency model and Middleton Class A model as the multipath power line fading channel and impulse noise channel, respectively. In this paper, in order to improve the three-phase or single-phase PLC performance, we introduce a new MRC (called a&f-MRC) which effectively sums up multiple antenna diversity gain and multipath fading diversity gain. Via simulation, we prove the performance advantage over existing SISO/MIMO systems. In addition, we offer the tradeoff on system design through comparing with MRC, EGC and SC.

A Robust Disjoint Multipath Scheme based on Geographic Routing in Irregular Wireless Sensor Networks (불규칙적 무선센서네트워크에 강한 위치기반 다중경로 제공 방안)

  • Kim, Sung-Hwi;Park, Ho-Sung;Lee, Jeong-Cheol;Oh, Seung-Min;Kim, Sang-Ha
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.37 no.1B
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    • pp.21-30
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    • 2012
  • Sensor networks are composed of a great number of sensor nodes with constrained battery. Disjoint multipath scheme based flooding method has a merit that efficiently construct multipath in irregular networks, but causes lots of energy consumption in networks. Flooding method is not a suitable technology in wireless sensor networks with constrained battery. We introduce energy-efficient geographic routing scheme considered as an efficient, simple, and scalable routing protocol for wireless sensor networks. The geographic routing scheme on multipath generates a problem with a congestion. So we introduce the concept of multipath pipeline as a congestion avoidance strategy. But multipath pipelines have a big problem on the boundary of holes under irregular networks. We propose a novel disjoint multipath scheme as combined method with geographic routing scheme and hole detouring algorithm on multipath. A novel disjoint multipath scheme constructs disjoint multipath pipelines efficiently for reliability without a collision in irregular wireless sensor networks. Simulation results are provided to validate the claims.

Cooperative Multi-Agent Reinforcement Learning-Based Behavior Control of Grid Sortation Systems in Smart Factory (스마트 팩토리에서 그리드 분류 시스템의 협력적 다중 에이전트 강화 학습 기반 행동 제어)

  • Choi, HoBin;Kim, JuBong;Hwang, GyuYoung;Kim, KwiHoon;Hong, YongGeun;Han, YounHee
    • KIPS Transactions on Computer and Communication Systems
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    • v.9 no.8
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    • pp.171-180
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    • 2020
  • Smart Factory consists of digital automation solutions throughout the production process, including design, development, manufacturing and distribution, and it is an intelligent factory that installs IoT in its internal facilities and machines to collect process data in real time and analyze them so that it can control itself. The smart factory's equipment works in a physical combination of numerous hardware, rather than a virtual character being driven by a single object, such as a game. In other words, for a specific common goal, multiple devices must perform individual actions simultaneously. By taking advantage of the smart factory, which can collect process data in real time, if reinforcement learning is used instead of general machine learning, behavior control can be performed without the required training data. However, in the real world, it is impossible to learn more than tens of millions of iterations due to physical wear and time. Thus, this paper uses simulators to develop grid sortation systems focusing on transport facilities, one of the complex environments in smart factory field, and design cooperative multi-agent-based reinforcement learning to demonstrate efficient behavior control.

Some Characteristics of the Performance in Comparison with Indexing techniques for File Organization (화일조직을 위한 인덱싱 기법의 성능 특성 비교)

  • Lee, Gu-Nam
    • Journal of The Korean Association of Information Education
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    • v.1 no.1
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    • pp.49-59
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    • 1997
  • In this thesis, To provide the base of effective data access methods, performance of some indexing techniques used gent-Tally are compared. They are classified as primary key and multikey. For primary key method, made a comparative analysis on Static index. Dynamic index and Hashing. For multikey indexing method K-d tree, K-d-B tree, Inverted file and Grid file of which characteristics are compared. In many applications, multikey indexings are more requested, but are not supplied enough. So, to satisfy users' request - more fast, more exact and to be applied according to the trend of being huge database systems, it is requested more study about multikey data access methods.

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도시 비상대처계획(EAP) 수립을 위한 도시홍수범람 모형 개발

  • Lee, Suk Ho;Kim, Jin Hyuck;Lee, Dong Seop;Kim, Byung Sik
    • Proceedings of the Korea Water Resources Association Conference
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    • 2016.05a
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    • pp.38-38
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    • 2016
  • 기후변화로 인한 기온과 강수량의 변화는 국지적이고 집중적인 강우를 유발하게 되었고 이로 인하여 외수범람에 의한 제내지 침수로 인한 피해가 증가하고 있다. 따라서 제내지의 침수로 인한 피해를 예측하기위한 기술이 필요하다. 본 연구에서는 하천제방의 파쇄로 인한 홍수량이 제내지에서 어떤 경로로 침수-확산되는지를 파악하기 위하여 홍수의 침수경로를 모의할 수 있는 분포형홍수범람모형인 SIMOD(Simplified Inundation MODel) 모형을 개발하였다. 침수경로를 모의하기 위하여 홍수가 발생된 시점에서 그리드화된 주변셀로의 홍수전의를 위하여 주변셀과의 경사를 이용하여 차등 분배하는 다중흐름방향법(Multi Direction Method, MDM)과, 하나의 낮은 고도의 셀에서 수위가 높아져 인접셀보다 수위가 증가하면 그 수위는 인접 셀들과 균등해 진다는 가정인 평수가정법(Flat-Water Assumption, FWA)을 적용하였다. 모형의 평가를 위하여 가상시나리오를 설정하여 대상지역에서 시간에 따른 침수범위를 산정하였다. SIMOD 모형은 지형도(DEM)와 유입 홍수량의 간단한 입력자료를 이용하기 때문에 모의시간을 현저하게 단축시킬 수 있다. 강우-유출 모형 또는 제방붕괴 모형 등을 통해서 유입되는 홍수량만 파악을 할 수 있다면 수 분 내에 결과를 예측할 수 있다. 따라서 EAP(Emergency Action Plan)과 같은 도심지에서 침수로 인한 대피 계획을 수립하는데 활용될 수 있을 것이다.

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