• Title/Summary/Keyword: and object location

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PID-controlled Moving Objects Spatio-Temporal Model Algorithm for Identifying the Location of a Mobile Object in Real-time (이동체의 실시간 위치추적을 위한 PID제어 이동체 Spatio-Temporal 모델 알고리즘)

  • Wang, Zhi;Ying, Sun;Lee, Kyou-Ho
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2011.05a
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    • pp.209-212
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    • 2011
  • Triangulation is a typical method to locate or identify the location, which requires inherently at least three pre-recognized reference points. In some cases, owing to out of reachability to communication facility the target node can not reachable always to three base stations. This paper presents a predictive method, which can estimate the location of the moving target node in real time even though the target could not get in touch with all three base stations. The method is based on the PID-controlled Moving Objects Spatio-Temporal Model Algorithm. This can predict the moving direction of the moving target, and then combine with the past target position information to judge accurately the location.

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Range Query Processing of Distributed Moving Object Databases using Scheduling Technique (스케쥴링 기법을 이용한 분산 이동 객체 데이타베이스의 범위 질의 처리)

  • Jeon, Se-Gil;Hwang, Jae-Il;Nah, Youn-Mook
    • Journal of Korea Spatial Information System Society
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    • v.6 no.2 s.12
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    • pp.51-62
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    • 2004
  • Recently, the location-based service for moving customers is becoming one of the most important service in mobile communication area. For moving object applications, there are lots of update operations and such update loads are concentrated on some particular area unevenly. The primary processing of LBS application is spatio-temporal range queries. To improve the throughput of spatio-temporal range queries, the time of disk I/O in query processing should be reduced. In this paper, we adopt non-uniform two-level grid index structures of GALIS architecture,which are designed to minimize update operations. We propose query scheduling technique using spatial relationship and time relationship and a combined spatio-temporal query processing method using time zone concepts to improve the throughput of query processing. Some experimental results are shown for range queries with different query range to show the performance tradeoffs of the proposed methods.

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Spatiotemporal Moving Pattern Discovery using Location Generalization of Moving Objects (이동객체 위치 일반화를 이용한 시공간 이동 패턴 탐사)

  • Lee, Jun-Wook;Nam, Kwang-Woo
    • The KIPS Transactions:PartD
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    • v.10D no.7
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    • pp.1103-1114
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    • 2003
  • Currently, one of the most critical issues in developing the service support system for various spatio-temporal applications is the discoverying of meaningful knowledge from the large volume of moving object data. This sort of knowledge refers to the spatiotemporal moving pattern. To discovery such knowledge, various relationships between moving objects such as temporal, spatial and spatiotemporal topological relationships needs to be considered in knowledge discovery. In this paper, we proposed an efficient method, MPMine, for discoverying spatiotemporal moving patterns. The method not only has considered both temporal constraint and spatial constrain but also performs the spatial generalization using a spatial topological operation, contain(). Different from the previous temporal pattern methods, the proposed method is able to save the search space by using the location summarization and generalization of the moving object data. Therefore, Efficient discoverying of the useful moving patterns is possible.

Integral Histogram-based Framework for Rapid Object Tracking (고속 객체 검출을 위한 적분 히스토그램 기반 프레임워크)

  • Ko, Jaepil;Ahn, Jung-Ho;Hong, Won-Kee
    • Journal of Korea Society of Industrial Information Systems
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    • v.20 no.2
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    • pp.45-56
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    • 2015
  • In this paper we propose a very rapid moving object tracking method for an object-based auto focus on a smart phone camera. By considering the limit of non-learning approach on low-performance platforms, we use a sliding-window detection technique based on histogram features. By adapting the integral histogram, we solve the problem of the time-consuming histogram computation on each sub-window. For more speed up, we propose a local candidate search, and an adaptive scaling template method. In addition, we propose to apply a stabilization term in the matching function for a stable detection location. In experiments on our dataset, we demonstrated that we achieved a very rapid tracking performance demonstrating over 100 frames per second on a PC environment.

A Study on the CFD Analysis and Estimation of the Energy Efficiency of Cryogenic Chamber for Extreme Climate Test (극한 환경 시험을 위한 극저온 챔버의 CFD 해석 및 에너지 효율 평가에 관한 연구)

  • Kang, Yul-Ho;Kim, Min-Kyu;Park, Warn-Gyu
    • Korean Journal of Air-Conditioning and Refrigeration Engineering
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    • v.28 no.2
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    • pp.81-88
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    • 2016
  • There are many types of national and international standards for low temperature tests depending on the products. This study conducted CFD analysis and estimation of the energy efficiency of the chamber both with and without a test object by considering variations of COP and specific volume according to temperature. The supply air was located in the upper area to compare the cooling performance for each location using various outlets in mixed ventilated conditions. For cases without the test object, the air temperature of the upper supply and center extract on the opposite side type chamber cooled faster than other areas by 4.3~29.8%. However, for cases with the test object, the object temperature of the upper supply and lower extract type chamber cooled faster than the other areas by 7.2~31.5%. The cooling efficiency of the air inside the chamber and the test object did not show the same pattern, which indicates the need to consider the cooling performance by not only the air but also the test object in the cryogenic chamber design for testing.

An Implementation of distributed Real-time Location Data Server based on the GALIS Architecture (GALIS 구조 기반 실시간 분산 위치 데이타 서버 구현)

  • Lee, Joon-Woo;Lee, Woon-Ju;Lee, Ho;Nah, Yun-Mook
    • Journal of Korea Spatial Information System Society
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    • v.7 no.1 s.13
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    • pp.53-62
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    • 2005
  • A challenging task in the LBS system engineering is to implement a highly scalable system architecture which can manage moderate-size configurations handling thousands of moving items as well as upper-end configurations handling distributed computing system architecture that consists of multiple data processors, each dedicated to keeping records relevant to a different geographical zone and a different time zone. In this paper, we explain a prototype location data server structuring major components of GALIS by employing the TMO programming scheme, including the execution engine middleware developed to support real-time distributed object programming and real-time distributed computing system design. We present how to generate realistic location sensing reports and how to process such location reports and location-related queries. Some experimental results showing performance factors regarding distributed query processing are also explained.

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A Self-optimizing Mechanism of Location Aware Systems for Ubiquitous Computing (유비쿼터스 컴퓨팅을 위한 위치 감지 시스템의 자가 치적화 기법)

  • Choi, Ho-Young;Choi, Chang-Yeol;Kim, Sung-Soo
    • The KIPS Transactions:PartA
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    • v.12A no.4 s.94
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    • pp.273-280
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    • 2005
  • The mobility or highly interconnected and communicating devices and users has implications for the QoS in a ubiquitous computing environment. Therefore, it is important for location aware systems to detect location of mobile object correctly and Provide high quality services in ubiquitous environment. However, it is not easy that location aware systems offer highly reliable QoS to users because process strategies of location aware systems are limited by the capability according to the applied detection target objects. In this paper, we design an autonomic architecture which analyzes the location aware system condition and autonomously chooses the best appropriate process strategy. We also have simulated the Proposed architecture in order to verify its performance. The test results show us that the architecture using self-optimizing mechanism provides higher QoS to users in variable bandwidth.

Multiple Ship Object Detection Based on Background Registration Technique and Morphology Operation (배경 구축 기법과 형태학적 연산 기반의 다중 선박 객체 검출)

  • Kim, Won-Hee;Arshad, Nasim;Kim, Jong-Nam;Moon, Kwang-Seok
    • Journal of Korea Multimedia Society
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    • v.15 no.11
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    • pp.1284-1291
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    • 2012
  • Ship object detection is a technique to detect the existence and the location of ship when ship objects are shown on input image sequence, and there are wide variations in accuracy due to environmental changes and noise of input image. In order to solve this problem, in this paper, we propose multiple ship object detection based on background registration technique and morphology operation. The proposed method consists of the following five steps: background elimination step, noise elimination step, object standard position setting step, object restructure step, and multiple object detection steps. The experimental results show accurate and real-time ship detection for 15 different test sequences with a detection rate of 98.7%, and robustness against variable environment. The proposed method may be helpful as the base technique of sea surface monitoring or automatic ship sailing.

STUDY ON THE THERMAL-FLUID ANALYSIS OF CRYOGENIC CHAMBER FOR COLD CLIMATE TEST OF LARGE WIND TURBINE PARTS (대형 풍력발전기 부품의 극한 환경 시험을 위한 극저온 챔버의 열유동 해석에 대한 연구)

  • Kim, M.K.;Kang, Y.H.;Park, W.G.
    • Journal of computational fluids engineering
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    • v.20 no.3
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    • pp.8-14
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    • 2015
  • More and more, spaces are decreasing which satisfy multiple requirements for wind power plants. However, areas which have excellent wind resources and are free to civil complaints occupy a large space, although they are exposed to the cryogenic environment. This study conducted a thermal-fluid analysis of a cryogenic chamber for testing large wind turbine parts exposed to the cryogenic environment. The position of supply air is placed to the upper area to compare each cooling performance for each location of various outlets in mixing ventilated conditions. The study carried out CFD analysis for the chamber both with and without a test object. For the cases without the test object, the air temperature of the upper supply and down extract type chamber was cooled faster by 5-100% than the others. However, for the cases with the test object, the object temperature of upper supply and center extract on the opposite side type chamber was cooled faster by 33-132% than the others. The cooling performance by the air inside the chamber and the test object did not show the same pattern, which implicates the need to consider the cooling performance by not only the air but also the test object in the large cryogenic chamber design for testing large parts.

A Study on Object Recognition for Safe Operation of Hospital Logistics Robot Based on IoT (IoT 기반의 병원용 물류 로봇의 안전한 운행을 위한 장애물 인식에 관한 연구)

  • Kang, Min-soo;Ihm, Chunhwa;Lee, Jaeyeon;Choi, Eun-Hye;Lee, Sang Kwang
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.17 no.2
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    • pp.141-146
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    • 2017
  • New infectious diseases such as MERS have been in need of many measures such as initial discovery, isolation, and crisis response. In addition, the culture of hospitals is changing, such as the general public 's visiting and Nursing Care Integration Services. However, as the qualifications and regulations of medical personnel in hospitals become rigid, overseas such as linens, wastes movements are replacing possible works with robots. we have developed a hospital logistics robot that can carry out various goods delivery within a hospital, and can move various kinds of objects safely to a desired location. In this thesis, we have studied a hospital logistics robot that can carry out various kinds of goods delivery within the hospital, and can move various kinds of objects such as waste, and linen safely to a desired location. The movement of a robot in a hospital may cause a collision between a person and an object, so that the collision must be prevented. In order to prevent collision, it is necessary to recognize whether or not an object exists in the movement path of the robot. And if there is an object, it should recognize whether it moves or not. In order to recognize human beings and objects, we recognize the person with face/body recognition technology and generate the context awareness of the object using 3D Vision image segmentation technology. We use the generated information to create a map that considers objects and person in the robot moving range. Thus, the robot can be operated safely and efficiently.