• Title/Summary/Keyword: object search

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A Reduction Method of Search Space for Polyhedral Object (다면체 인식을 위한 탐색 공간 감소 기법)

  • 이상용
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2003.05a
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    • pp.63-66
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    • 2003
  • 본 논문에서는 다면체의 인식을 위하여 사용되는 여러-방향-보기 방법 (multiple-view approach)에서 모델베이스의 탐색공간 크기를 줄이기 위한 방법을 제시한다. 이 방법에서 모델베이스는 물체를 둘러싸고 있는 보기 구 (view sphere)의 미리 정해진 보는 곳(viewpoint)에서 보여지는 2차원 투영체들로 구성된다. 물체를 인식하기 위하여 개략-상세 전략을 채택하되, 본 논문에서는 모델베이스의 개략 탐색을 위하여 ART-1을 이용하는 방법은 제시한다.

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A Study on the Drift Characteristics of Person-in-Water (인체의 표류특성에 관한 연구)

  • ;T. C. Su
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.3 no.1
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    • pp.85-92
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    • 1997
  • To understand the dynamics of a drifting object, an analysis based on fluid dynamics theory is presented. A simplified analysis shows a consistency with the linear formula currently used for search and rescue mission. Also an experiment using miniatured human models has been conducted to study the drift characteristics of Person-in-Water. The tests were carried out at the water channel facility and the models were tested in different positions and styles. The measured drag coefficients for human body ranged over 0.4-1.2.

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Real-Time Expert System With Loss Reduction And Load Balancing (손실감소와 부하균등지수를 고려한 실시간 전문가 시스템)

  • Kim, Jung-Nyun;Baek, Young-Sik
    • Proceedings of the KIEE Conference
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    • 1998.07c
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    • pp.1097-1099
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    • 1998
  • This paper describes methods to quickly reconfigure the branch in a distribution system by using tie-line switches without branch overloading and feeder overloading, voltage in load points, and distribution system is represented by object-based structure to search efficiently.

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Kidney Search with Deeplab V3+ (Deeplab V3+를 활용한 kidney 탐색)

  • Kim, Sung-Jung;Yoo, JaeChern
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2020.01a
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    • pp.57-58
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    • 2020
  • 본 논문은 영상분할 기법 중 DeepLab V3+를 적용하여 초음파 영상속에서 특정 장기, 혹은 기관을 발견하고자한다. 그와 동시에 찾아진 Object의 area를 mIOU 기반으로 초음파 영상속에서의 DeepLab V3+의 성능을 확인하고자 한다.

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A Study on Updated Object Detection and Extraction of Underground Information (지하정보 변화객체 탐지 및 추출 연구)

  • Kim, Kwangsoo;Lee, Heyung-Sub;Kim, Juwan
    • Journal of Software Assessment and Valuation
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    • v.16 no.2
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    • pp.99-107
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    • 2020
  • An underground integrated map is being built for underground safety management and is being updated periodically. The map update proceeds with the procedure of deleting all previously stored objects and saving newly entered objects. However, even unchanged objects are repeatedly stored, deleted, and stored. That causes the delay of the update time. In this study, in order to shorten the update time of the integrated map, an updated object and an unupdated object are separated, and only updated objects are reflected in the underground integrated map, and a system implementing this technology is described. For the updated object, an object comparison method using the center point of the object is used, and a quad tree is used to improve the search speed. The types of updated objects are classified into addition and deletion using the shape of the object, and change using its attributes. The proposed system consists of update object detection, extraction, conversion, storage, and history management modules. This system has the advantage of being able to update the integrated map about four times faster than the existing method based on the data used in the experiment, and has the advantage that it can be applied to both ground and underground facilities.

Design of Mobile Agent Model Supporting the Intelligent Path Search (지능형 경로 탐색 이동 에아전트 모델 설계)

  • Ko, Hyun;Kim, Kwang-Jong;Lee, Yon-Sik
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.6 no.7
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    • pp.993-1000
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    • 2002
  • In this paper, we design the CORBA-based Mobile Agent Model (CMAM) which has the capability of the efficient work processing in distributed environment through sensing network traffic and searching the optimal path for migration nodes of mobile agent. In case existing mobile agent model is given various works from user, the network overhead and traffic are increased by increasing of execution module size. Also, if it happens a large quantity of traffics due to migration of nodes according to appointment of the passive host(below node) routing schedule by user, it needs much cost for node search time by traffic. Therefore, in this paper, we design a new mobile agent m()del that assures the reliability of agent's migration through dynamic act on the specific situation according to appointment of the active routing schedule and can minimize agent's work processing time through optimal path search. The proposed model assigns routing schedule of the migration nodes actively using an extended MAFFinder. Also, for decreasing overhead of network by agent's size, it separates the existing mobile agent object by mobile agent including only agent calling module and push agent with work executing module based on distributed object type of CORBA. Also, it reduces the required time for round works of mobile agent through the optimal path search of migration nodes.

Efficient Processing of k-Farthest Neighbor Queries for Road Networks

  • Kim, Taelee;Cho, Hyung-Ju;Hong, Hee Ju;Nam, Hyogeun;Cho, Hyejun;Do, Gyung Yoon;Jeon, Pilkyu
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.10
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    • pp.79-89
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    • 2019
  • While most research focuses on the k-nearest neighbors (kNN) queries in the database community, an important type of proximity queries called k-farthest neighbors (kFN) queries has not received much attention. This paper addresses the problem of finding the k-farthest neighbors in road networks. Given a positive integer k, a query object q, and a set of data points P, a kFN query returns k data objects farthest from the query object q. Little attention has been paid to processing kFN queries in road networks. The challenge of processing kFN queries in road networks is reducing the number of network distance computations, which is the most prominent difference between a road network and a Euclidean space. In this study, we propose an efficient algorithm called FANS for k-FArthest Neighbor Search in road networks. We present a shared computation strategy to avoid redundant computation of the distances between a query object and data objects. We also present effective pruning techniques based on the maximum distance from a query object to data segments. Finally, we demonstrate the efficiency and scalability of our proposed solution with extensive experiments using real-world roadmaps.

Development of CanSat System With 3D Rendering and Real-time Object Detection Functions (3D 렌더링 및 실시간 물체 검출 기능 탑재 캔위성 시스템 개발)

  • Kim, Youngjun;Park, Junsoo;Nam, Jaeyoung;Yoo, Seunghoon;Kim, Songhyon;Lee, Sanghyun;Lee, Younggun
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.49 no.8
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    • pp.671-680
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    • 2021
  • This paper deals with the contents of designing and producing reconnaissance hardware and software, and verifying the functions after being installed on the CanSat platform and ground stations. The main reconnaissance mission is largely composed of two things: terrain search that renders the surrounding terrain in 3D using radar, GPS, and IMU sensors, and real-time detection of major objects through optical camera image analysis. In addition, data analysis efficiency was improved through GUI software to enhance the completeness of the CanSat system. Specifically, software that can check terrain information and object detection information in real time at the ground station was produced, and mission failure was prevented through abnormal packet exception processing and system initialization functions. Communication through LTE and AWS server was used as the main channel, and ZigBee was used as the auxiliary channel. The completed CanSat was tested for air fall using a rocket launch method and a drone mount method. In experimental results, the terrain search and object detection performance was excellent, and all the results were processed in real-time and then successfully displayed on the ground station software.

Influence of Perceptual Information of Previewing Stimulus on the Target Search Process: An Eye-tracking Study (사전제시 자극의 지각적 정보가 목표자극 탐색에 미치는 영향: 안구추적연구)

  • Lee, Donghoon;Kim, Shinjung;Jeong, Myung Yung
    • Korean Journal of Cognitive Science
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    • v.25 no.3
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    • pp.211-232
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    • 2014
  • People search a certain object or a person so many time in a day. Besides the information about what the target is, perceptual information of the target can influence on the search process. In the current study, using an eye-tracker we aimed to examine whether the perceptual information of previewing target stimuli on the visual search process of the target and the task performance. Participants had to identify the previewing target stimulus presented in the middle of the screen, and then had to search the target among 8 items presented in a circle array, and had to decide whether the size of the target in the search display was same as that of the previewing stimulus. The experimental conditions were divided into 8 within-subject conditions by whether the search display was consisted of all the same size items or different size items (homogeneous search display vs. inhomogeneous search display), by the size of the preview target stimulus, and by the size of the target stimulus in the search display. Research hypothesis is that the size information of the previewing influence on the visual search process of the target and task performance when the items in the search display are in different sizes. In the results of behavioral data analysis, the reaction time showed the main effect of the search display, and the size of the target stimulus in the search display. and the interaction between the size consistency effect of target stimulus and the search display condition. In the results of analysis of eye-movement information, the Initial Saccade to Target Ratio measurement showed the interaction between the size consistency effect of target stimulus and the search display condition as the reaction time measurement did. That is, the size consistency effect of target stimulus only in the inhomogeneous search display condition indicated that participants searched the items in the same size as that of preview target stimulus. Post-hoc analyses revealed that the search and task performance in the inhomogeneous display condition were faster when the target size was consistent, but rather slower when the target size was inconsistent.

A Streaming XML Hardware Parser using a Tree with Failure Transition (실패 전이를 갖는 트리를 이용한 스트리밍 XML 하드웨어 파서)

  • Lee, Kyu-Hee;Han, Sang-Soo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.17 no.10
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    • pp.2323-2329
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    • 2013
  • Web-services employ an XML to represent data and an XML parser is needed to use data. The DOM(Document Object Model) is widely used to parse an XML, but it is not suitable for any systems with limited resources because it requires a preprocessing to create the DOM and additional memory space. In this paper, we propose the StreXTree(Streaming XML Tree) with failure transitions and without any preprocessing tasks in order to improve the system performance. Compared to other works, our StreXTree parser achieves 2.39x and 3.02x improvement in system performance in Search and RBStreX, respectively. In addition, our StreXTree parser supports Well-Formed checking to verify the syntax and structure of XML.