• 제목/요약/키워드: stream networks

검색결과 267건 처리시간 0.027초

DEM으로부터 하천망 추출을 위한 흐름누적 임계값의 분석 (Analysis of Flowaccumulation Threshold Value to Extract Stream Network from DEM)

  • 김연준;양인태
    • 한국측량학회지
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    • 제20권3호
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    • pp.255-264
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    • 2002
  • 지형은 강우시 유역의 유출반응을 결정하는 중요한 인자이다. 유역분석에서 하천망은 중요한 지형 매개변수이다. DEM격자 크기와 배수누적 행렬의 흐름누적 임계값은 격자 DEM를 이용하여 추출된 하천망에 영향을 미친다. 따라서 DEM에 의해서 추출된 하천망의 배수 밀도는 선택된 DEM 격자크기와 흐름누적 임계값에 따라 다양하다. 일반적으로 작은 흐름누적 임계값은 높은 배수밀도를 가지는 아주 세부적인 하천망을 만들어 내고, 큰 임계값은 조잡한 하천망을 만들어 낸다. 이 연구에서는 연구대상지역에서 총 하천길이가 각각의 DEM 격자크기에 대해 흐름누적 임계값을 계산하는데 이용되었다. 하천망은 흐름누적 임계값을 적용하여 각각의 DEM 격자크기에 대해 추출되었으며, 흐름누적 임계값과 각각의 DEM 격자크기에 연관성이 회귀방정식으로 도출되었다.

Evaluating an (m, k)-firm Deadline Real-time Stream Based on a Reliable Transport Protocol in Wireless Sensor Networks

  • Kim, Ki-Il
    • Journal of information and communication convergence engineering
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    • 제10권2호
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    • pp.129-134
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    • 2012
  • As application-specific requirements for wireless sensor networks emerge, both real-time and reliable communications become major research challenges in wireless sensor networks due to the many constraints on nodes and wireless links. To support these services, several protocols have been proposed. However, since most of them were designed as well as developed for general purpose applications, it is not recommended that they be directly adapted to applications with special requirements. In this paper, we propose a way to extend the current reliable transport protocol to cover a special real-time service, the (m,k)-firm deadline stream, in wireless sensor networks. While the proposed scheme is basically built on the PSFQ protocol for reliability, some features have been newly developed to support the (m,k)-firm stream efficiently. Finally, simulation results are given to demonstrate the feasibility of the proposed scheme in high traffic and with failed links.

지형자료의 계층화를 이용한 하계망 일반화 (Generalization of the Stream Network by the Geographic Hierarchy of Landform Data)

  • 김남신
    • 대한지리학회지
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    • 제40권4호
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    • pp.441-453
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    • 2005
  • 본 연구의 목적은 지형자료에 대한 계층화 알고리즘을 개발하여 하계망을 일반화하고자 하였다. 하계망은 계층적인 구조를 갖기 때문에 일반화를 위해 선형사상들에 대한 지형자료의 계층화가 요구된다. 하계망 일반화의 절차는 하계망의 계층화, 차수별 선택과 제거, 그리고 알고리즘 적용으로 진행하였다. 계층화는 하계망의 고도에 따른 방향 결정, Stroke Segment 서열화. Strahler 차수화로 진행하였으며, 선형사상의 선택과 제거는 지리자료의 질의를 통해 차수와 선의 길이를 기준으로 처리하였다 개선된 Simoo 알고리즘은 선형사상의 곡률을 낮추고 완만화에 효과적이었다 연구결과는 공간적으로 다양한 계층구조를 갖는 사상들에 대한 일반화를 개선할 수 있을 것으로 기대된다.

Java 기반 실시간 센서 데이터스트림처리 및 임베디드 시스템 구현 (Jave based Embedded System Design and Implementation for Real-time Stream Data Processing)

  • 김휴찬;고완기;박상열
    • 디지털산업정보학회논문지
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    • 제4권2호
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    • pp.1-12
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    • 2008
  • Home network is a technology that provides possibilities of monitoring/controling/mutilating-recognition between optional home network machines in residences. Currently, home network or other networks like entertainment, residential electronic networks are jumbled together with heterogeneous networks in a rampaging condition. In a reality of high expectation for home networks system like the mutual application for various machines, we are required to have the unification technology for conveniences to satisfy expectations. This thesis reflects how to develop Java applications or mutual products based on convenient interfaces actually that process various sensors which create real time data stream in Java platform through Java based sensor data-stream processing embedded middleware design and realization in real time.

FTSnet: 동작 인식을 위한 간단한 합성곱 신경망 (FTSnet: A Simple Convolutional Neural Networks for Action Recognition)

  • 조옥란;이효종
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2021년도 추계학술발표대회
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    • pp.878-879
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    • 2021
  • Most state-of-the-art CNNs for action recognition are based on a two-stream architecture: RGB frames stream represents the appearance and the optical flow stream interprets the motion of action. However, the cost of optical flow computation is very high and then it increases action recognition latency. We introduce a design strategy for action recognition inspired by a two-stream network and teacher-student architecture. There are two sub-networks in our neural networks, the optical flow sub-network as a teacher and the RGB frames sub-network as a student. In the training stage, we distill the feature from the teacher as a baseline to train student sub-network. In the test stage, we only use the student so that the latency reduces without computing optical flow. Our experiments show that its advantages over two-stream architecture in both speed and performance.

Data Distributions on Performance of Neural Networks for Two Year Peak Stream Discharges

  • Muttiah, Ranjan S.
    • 한국농업기계학회:학술대회논문집
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    • 한국농업기계학회 1996년도 International Conference on Agricultural Machinery Engineering Proceedings
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    • pp.1073-1080
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    • 1996
  • The impact of the input and output probability distributions on the performance of neural networks to forecast two year peak stream flow (cubic meters per second) is examined for two major river basins of the US. The neural network input consisted of drainage area(square kilometers ) and elevation (meters). When data are normally distributed , the neural networks predict much better than when the data are non-normal and have larger tails in their distributions.

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Clustering Scheme for (m,k)-Firm Streams in Wireless Sensor Networks

  • Kim, Ki-Il
    • Journal of information and communication convergence engineering
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    • 제14권2호
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    • pp.84-88
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    • 2016
  • As good example of potential application-specific requirement, (m,k)-firm real-time streams have been recently introduced to deliver multimedia data efficiently in wireless sensor networks. In addition to stream model, communication protocols to meet specific (m,k)-firm real-time streams have been newly developed or extended from existing protocols. However, since the existing schemes for an (m,k)-firm stream have been proposed under typical flat architecture, the scalability problem remains unsolved when the number of real-time flows increases in the networks. To solve this problem, in this paper, we propose a new clustering scheme for an (m,k)-firm stream. The two different clustering algorithms are performed according to either the (m,k)-firm requirement or the deadline. Simulation results are presented to demonstrate the suitability of the proposed scheme under hierarchical architecture by showing that its performance is acceptable irrespective of the increase in the number of flows.

TriSec: A Secure Data Framework for Wireless Sensor Networks Using Authenticated Encryption

  • Kumar, Pardeep;Cho, Sang-Il;Lee, Dea-Seok;Lee, Young-Dong;Lee, Hoon-Jae
    • Journal of information and communication convergence engineering
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    • 제8권2호
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    • pp.129-135
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    • 2010
  • Wireless sensor networks (WSNs) are an emerging technology and offers economically viable monitoring solution to many challenging applications. However, deploying new technology in hostile environment, without considering security in mind has often proved to be unreasonably unsecured. Apparently, security techniques face many critical challenges in WSNs like data security and secrecy due to its hostile deployment nature. In order to resolve security in WSNs, we propose a novel and efficient secure framework called TriSec: a secure data framework for wireless sensor networks to attain high level of security. TriSec provides data confidentiality, authentication and data integrity to sensor networks. TriSec supports node-to-node encryption using PingPong-128 stream cipher based-privacy. A new PingPong-MAC (PP-MAC) is incorporated with PingPong stream cipher to make TriSec framework more secure. PingPong-128 is fast keystream generation and it is very suitable for sensor network environment. We have implemented the proposed scheme on wireless sensor platform and our result shows their feasibility.

지형도(地形圖) 축척(縮尺)에 따르는 하천 수로망(水路網)과 본류(本流) 하천길이에 관한 Fractal Dimension (Fractal Dimension of Stream Networks and Main Stream Length with Map Scale)

  • 전민우;조원철
    • 대한토목학회논문집
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    • 제12권4_1호
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    • pp.97-106
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    • 1992
  • 하천 수로망(水路網)의 수로길이와 본류(本流) 수로길이는 사용된 지형도(地形圖) 축척(縮尺)에 따라 각각 다른 값을 나타내며, 이와 같은 지형도상(地形圖上)의 수로길이는 Fractal로 간주할 수 있다. 수로망(水路網)의 하천길이와 본류(本流) 수로길이를 Horton 법칙을 적용함으로써 유역면적비(Ra)만의 함수로 나타내어, 수로망(水路網)의 하천길이에 관한 Fractal Dimension(D)와 본류(本流) 수로길이에 관한 Fractal Dimension(d)를 길이의 비(比)($R_L$)과 유역면적비(比)($R_a$)의 함수로 각각 유도하였다. 유도된 결과식을 금강수계내(錦江水系內) 산성(山城)유역의 수로망(水路網)에 적용하여 기(旣) 발표된 공식과 비교 검토하였으며, Fractal Dimension은 수로망(水路網)의 경우 지형도(地形圖) 축척(縮尺)이 클수록 2에 가까운 값을 나타낸 반면에, 본류(本流)수로의 경우는 1에 가까운 값을 나타내었다. 본 연구의 결과는 지형도(地形圖) 축척(縮尺)에 따르는 수로망(水路網)구성의 정량적(定量的) 분석에 도움이 되리라 생각된다.

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Efficient Real-time Multimedia Streaming System Using Partial Transport Stream for IPTV Services

  • Lee, Eun-Jo;Park, Sung-Kwon
    • Journal of Ubiquitous Convergence Technology
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    • 제2권2호
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    • pp.88-96
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    • 2008
  • IPTV Content delivery systems over wired networks confront scalability problems due to their high network bandwidth requirement for real-time services. Especially, VoD service provides Trick Mode features such as pause, fast forward and similar operations. However, Trick Mode services are delivered by the method of unicast only for controlling of the stream. With a point of views, this paper propose a new real-time multimedia streaming architecture over IP Networks, which tries to achieve bandwidth efficiency and supporting for mass clients better than traditional unicast services. The proposed methods divide the Transport Stream into a series of segments. After that, this divided partial Transport Stream makes multicast streaming periodically. Meanwhile Set-top Box of a client makes a rearrangement orderly by using Presentation Time Stamp field from the served Transport Stream packets. While the current Transport Stream segment is playing, it should be guaranteed that the next segment is downloaded on time. Consequently, the original video content can be played out continuously. The detail introduction of a new real-time multimedia streaming system with analysis and simulation follows as below.

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