• Title/Summary/Keyword: continuous object

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Continuous Migration Container System for Upgrading Object

  • Yoosanthiah, N.;Khunkitti, A.
    • 제어로봇시스템학회:학술대회논문집
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    • 2004.08a
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    • pp.960-964
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    • 2004
  • During system resource improvement process that based on Object-Oriented technology could be affect to the continuous system performance if lack appropriate management and control objects mechanism. This paper proposes a methodology to support continuous system performance and its stability. The adoption is based on Java Container Framework and Collections Framework for object collection. Also includes Software Engineering, Object Migration and Multiple Class Loaders mechanism accommodate to construct Continuous Migration Container (CMC). CMC is a runtime environment provides interfaces for management and control to support upgrading object process. Upgrade object methodology of CMC can be divided into two phase are object equivalence checking and object migration process. Object equivalence checking include object behavior verification and functional conformance verification before object migration process. In addition, CMC use Multiple Class Loaders mechanism to support reload effected classes instead of state transfer in migration process while upgrading object. These operations are crucial for system stability and enhancement efficiency.

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An Energy-Efficient Location Update Scheme for Mobile Sinks in Continuous Object Detection Using Wireless Sensor Networks (무선 센서 망을 이용한 연속개체 탐지에서 이동싱크의 에너지 효율적인 위치갱신 방안)

  • Kim, Cheonyong;Cho, Hyunchong;Kim, Sangdae;Kim, Sang-Ha
    • Journal of KIISE
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    • v.41 no.11
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    • pp.967-973
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    • 2014
  • A continuous object is large phenomenon diffusing continuously. Therefore, a large number of sources is a major problem in researches for continuous object. Existing studies for continuous object detecting focus on reducing communication cost generated by the sources. But, they only deal with the static sink located in fixed position. In this paper, we propose the location update scheme for mobile sinks in continuous object detecting. Generally, to receive data, a mobile sink should notice its current location to sources. Previous studies for location update of mobile sinks consider individual object. So they need a lot of energy for location update when a mobile sink notices its current location toward many sources of a continuous object independently. Proposed scheme exploits regional locality of the sources involved one continuous object. The regional locality makes the location update of mobile sinks efficient. Our simulation results show that the proposed scheme superior to existing schemes in terms of energy efficiency.

Playback Quantity-based Proxy Caching Scheme for Continuous Media Data (재생량에 기반한 연속미디어 데이터 프록시 캐슁 기법)

  • Hong, Hyeon-Ok;Im, Eun-Ji;Jeong, Gi-Dong
    • The KIPS Transactions:PartB
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    • v.9B no.3
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    • pp.303-310
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    • 2002
  • In this paper, we propose a proxy caching scheme that stores a portion of a continuous media object or an entire object on the Internet. The proxy stores the initial fraction of a continuous media object and determines the optimal size of the initial fraction of the continuous media object to be cached based on the object popularity. Under the proposed scheme, the initial latency of most clients and the data transferred from a remote server can be reduced and limited cache storage space can be utilized efficiently. Considering the characteristics of continuous media, we also propose the novel popularity for the continuous media objects based on the amount of the data of each object played by the clients. Finally, we have performed trace-driven simulations to evaluate our caching scheme and the popularity for the continuous media objects. Through these simulations, we have verified that our caching scheme, PPC outperforms other well-known caching schemes in terms of BHR, DSR and replacement and that popularity for the continuous media objects based on the amount of the playback data can enhance the performance of caching scheme.

System Design for Producing of Object-oriented Continuous Digital Map (객체형 연속수치지도 제작을 위한 시스템 설계)

  • Heo, Min;Park, Joung-Hyun;Yoon, Jong-Seong;Park, Myong-Jin
    • Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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    • 2009.04a
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    • pp.75-78
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    • 2009
  • As a digital map is tile based of 2D, it is difficult to be satisfied with accuracy and up-to-date. In this study, we analyzed requirements of an object-oriented continuous digital map and designed the system. The digital map is 3D continuous object and has the accuracy and up-to-date, and designs with management system, transfer system, change information management system, frequent updating system and, same time updating system.

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An Origin-Centric Communication Scheme to Support Sink Mobility for Continuous Object Detection in IWSNs (산업용 무선 센서망을 이용한 연속개체 탐지에서 이동 싱크 지원을 위한 발원점 중심의 통신방안)

  • Kim, Myung-Eun;Kim, Cheonyong;Yim, Yongbin;Kim, Sang-Ha;Son, Young-Sung
    • KIPS Transactions on Computer and Communication Systems
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    • v.7 no.12
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    • pp.301-312
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    • 2018
  • In industrial wireless sensor networks, the continuous object detection such as fire or toxic gas detection is one of major applications. A continuous object occurs at a specific point and then diffuses over a wide area. Therefore, many studies have focused on accurately detecting a continuous object and delivering data to a static sink with an energy-efficient way. Recently, some applications such as fire suppression require mobile sinks to provide real-time response. However, the sink mobility support in continuous object detection brings challenging issues. The existing approaches supporting sink mobility are designed for individual object detection, so they establish one-to-one communication between a source and a mobile sink for location update. But these approaches are not appropriate for a continuous object detection since a mobile sink should establish one-to-many communication with all sources. The one-to-many communication increases energy consumption and thus shortens the network lifetime. In this paper, we propose the origin-centric communication scheme to support sink mobility in a continuous object detection. Simulation results verify that the proposed scheme surpasses all the other work in terms of energy consumption.

Reliable Continuous Object Detection Scheme in Wireless Sensor Networks (무선 센서 네트워크에서 신뢰성 있는 연속 개체 탐지 방안)

  • Nam, Ki-Dong;Park, Ho-Sung;Yim, Young-Bin;Oh, Seung-Min;Kim, Sang-Ha
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.12A
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    • pp.1171-1180
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    • 2010
  • In wireless sensor networks, reliable event detection is one of the most important research issues. For the reliable event detection, previous works usually assume the events are only individual objects such as tanks and soldiers. Recently, many researches focus on detection of continuous objects such as wild fire and bio-chemical material, but they merely aim at methods to reduce communication costs. Hence, we propose a reliable continuous object detection scheme. However, it might not be trivial. Unlike individual objects that could be referred as a point, a continuous object is shown in a dynamic two-dimensional diagram since it may cover a wide area and it could dynamically alter its own shape according to physical environments, e.g. geographical conditions, wind, and so on. Hence, the continuous object detection reliability can not be estimated by the indicator for individual objects. This paper newly defines the reliability indicator for continuous object detection and proposes an error recovery mechanism relying on the estimation result from the new indicator.

Dynamic Rectangle Zone-based Collaboration Mechanism for Continuous Object Tracking in Wireless Sensor Networks (센서 네트워크에서 연속적인 개체 추적을 위한 동적 직사각형 영역 기반 협동 메커니즘)

  • Park, Bo-Mi;Lee, Eui-Sin;Kim, Tae-Hee;Park, Ho-Sung;Lee, Jeong-Cheol;Kim, Sang-Ha
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.8
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    • pp.591-595
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    • 2009
  • Most existing routing protocols for object detection and tracking in wireless sensor networks concentrate on finding ways to detect and track one and more individual objects, e.g. people, animals, and vehicles, but they do not be interested in detecting and tracking of continuous objects, e.g., poison gas and biochemical. Such continuous objects have quite different properties from the individual objects since the continuous objects are continuously distributed across a region and usually occupy a large area, Thus, the continuous objects could be detected by a number of sensor nodes so that sensing data are redundant and highly correlated. Therefore, an efficient data collection and report scheme for collecting and locally aggregating sensing data is needed, In this paper, we propose the Continuous Object Tracking Mechanism based on Dynamic Rectangle Zone for detecting, tracking, and monitoring the continuous objects taking into account their properties.

EBCO - Efficient Boundary Detection and Tracking Continuous Objects in WSNs

  • Chauhdary, Sajjad Hussain;Lee, Jeongjoon;Shah, Sayed Chhattan;Park, Myong-Soon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.6 no.11
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    • pp.2901-2919
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    • 2012
  • Recent research in MEMS (Micro-Electro-Mechanical Systems) and wireless communication has enabled tracking of continuous objects, including fires, nuclear explosions and bio-chemical material diffusions. This paper proposes an energy-efficient scheme that detects and tracks different dynamic shapes of a continuous object (i.e., the inner and outer boundaries of a continuous object). EBCO (Efficient Boundary detection and tracking of Continuous Objects in WSNs) exploits the sensing capabilities of sensor nodes by automatically adjusting the sensing range to be either a boundary sensor node or not, instead of communicating to its neighboring sensor nodes because radio communication consumes more energy than adjusting the sensing range. The proposed scheme not only increases the tracking accuracy by choosing the bordering boundary sensor nodes on the phenomenon edge, but it also minimizes the power consumption by having little communication among sensor nodes. The simulation result shows that our proposed scheme minimizes the energy consumption and achieves more precise tracking results than existing approaches.

Development of Auto Tracking System for Baseball Pitching (투구된 공의 실시간 위치 자동추적 시스템 개발)

  • Lee, Ki-Chung;Bae, Sung-Jae;Shin, In-Sik
    • Korean Journal of Applied Biomechanics
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    • v.17 no.1
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    • pp.81-90
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    • 2007
  • The effort identifying positioning information of the moving object in real time has been a issue not only in sport biomechanics but also other academic areas. In order to solve this issue, this study tried to track the movement of a pitched ball that might provide an easier prediction because of a clear focus and simple movement of the object. Machine learning has been leading the research of extracting information from continuous images such as object tracking. Though the rule-based methods in artificial intelligence prevailed for decades, it has evolved into the methods of statistical approach that finds the maximum a posterior location in the image. The development of machine learning, accompanied by the development of recording technology and computational power of computer, made it possible to extract the trajectory of pitched baseball from recorded images. We present a method of baseball tracking, based on object tracking methods in machine learning. We introduce three state-of-the-art researches regarding the object tracking and show how we can combine these researches to yield a novel engine that finds trajectory from continuous pitching images. The first research is about mean shift method which finds the mode of a supposed continuous distribution from a set of data. The second research is about the research that explains how we can find the mode and object region effectively when we are given the previous image's location of object and the region. The third is about the research of representing data into features that we can deal with. From those features, we can establish a distribution to generate a set of data for mean shift. In this paper, we combine three works to track baseball's location in the continuous image frames. From the information of locations from two sets of images, we can reconstruct the real 3-D trajectory of pitched ball. We show how this works in real pitching images.

Digital Twin and Visual Object Tracking using Deep Reinforcement Learning (심층 강화학습을 이용한 디지털트윈 및 시각적 객체 추적)

  • Park, Jin Hyeok;Farkhodov, Khurshedjon;Choi, Piljoo;Lee, Suk-Hwan;Kwon, Ki-Ryong
    • Journal of Korea Multimedia Society
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    • v.25 no.2
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    • pp.145-156
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    • 2022
  • Nowadays, the complexity of object tracking models among hardware applications has become a more in-demand duty to complete in various indeterminable environment tracking situations with multifunctional algorithm skills. In this paper, we propose a virtual city environment using AirSim (Aerial Informatics and Robotics Simulation - AirSim, CityEnvironment) and use the DQN (Deep Q-Learning) model of deep reinforcement learning model in the virtual environment. The proposed object tracking DQN network observes the environment using a deep reinforcement learning model that receives continuous images taken by a virtual environment simulation system as input to control the operation of a virtual drone. The deep reinforcement learning model is pre-trained using various existing continuous image sets. Since the existing various continuous image sets are image data of real environments and objects, it is implemented in 3D to track virtual environments and moving objects in them.