• Title/Summary/Keyword: Active MAP

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Implementation of Global Localization and Kidnap Recovery for Mobile Robot on Feature Map (표식 지도를 이용한 이동로봇의 광역 위치인식 및 kidnap recovery)

  • Lee, Jung-Suk;Lee, Kyoung-Min;Ahn, Sungh-Wan;Choi, Jin-Woo;Chung, Wan-Kyun
    • The Journal of Korea Robotics Society
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    • v.2 no.1
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    • pp.29-39
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    • 2007
  • We present an implementation of particle filter algorithm for global localization and kidnap recovery of mobile robot. Firstly, we propose an algorithm for efficient particle initialization using sonar line features. And then, the average likelihood and entropy of normalized weights are used as a quality measure of pose estimation. Finally, we propose an active kidnap recovery by adding new particle set. New and independent particle set can be initialized by monitoring two quality measures. Added particle set can re-estimate the pose of kidnapped robot. Experimental results demonstrate the capability of our global localization and kidnap recovery algorithm.

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Digital Forensic for Location Information using Hierarchical Clustering and k-means Algorithm

  • Lee, Chanjin;Chung, Mokdong
    • Journal of Korea Multimedia Society
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    • v.19 no.1
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    • pp.30-40
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    • 2016
  • Recently, the competition among global IT companies for the market occupancy of the IoT(Internet of Things) is fierce. Internet of Things are all the things and people around the world connected to the Internet, and it is becoming more and more intelligent. In addition, for the purpose of providing users with a customized services to variety of context-awareness, IoT platform and related research have been active area. In this paper, we analyze third party instant messengers of Windows 8 Style UI and propose a digital forensic methodology. And, we are well aware of the Android-based map and navigation applications. What we want to show is GPS information analysis by using the R. In addition, we propose a structured data analysis applying the hierarchical clustering model using GPS data in the digital forensics modules. The proposed model is expected to help support the IOT services and efficient criminal investigation process.

A vision sensor based on structured light for active sensor network (자율 센서 네트워크를 위한 스트럭쳐 라이트 기반 비전 센서)

  • Park, Joon-Suk;Song, Ha-Yoon;Park, Jun
    • Proceedings of the Korea Information Processing Society Conference
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    • 2007.05a
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    • pp.349-352
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    • 2007
  • 자율 센서 네트워크에서 센서 노드가 자율 주행하기 위해서 주행 경로 상의 장애물을 회피해야 한다. 이를 위해서 저렴하고 동적인 상황에서도 효과적인 장애물 탐지 비전 센서를 구현하였다. 이 연구에서는 Structured Light방식을 이용하였으며. Structured Light로는 라인 패턴의 적외선 레이저를 사용하였고 카메라에 적외선 필터를 장착하여 빛의 효과에 둔감하게 하였다. 값과 시간에 따른 2차 Thresholding으로 노이즈를 제거하였다. 실험 결과 센서 노드를 기준으로 한 2D 좌표계에서 최대 10mm의 오차로 장애물의 X, Y좌표를 찾을 수 있었으며 비전 센서의 프로그램은 객체화 하여 센서 노드 프로그램과 연동되어 장애물의 정보를 Localize와 Map building에 사용 할 수 있도록 제공한다.

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Implementation of Active Location Detecting Systemby Using Zigbee Module Technique (Zigbee기반 능동형 위치 검출 시스템 알고리즘 구현)

  • Jo, Hyun-Tae;Kim, Dong-Hyun;Kwon, Young-Bin;Choi, Young-Wan;Lee, Jung-Woo;Park, Ho-Hyun;Park, Jae-Hwa
    • 한국정보통신설비학회:학술대회논문집
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    • 2009.08a
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    • pp.231-234
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    • 2009
  • In this paper the situation requiring emergency rescue team from the endangered person, using the structure of the signal with a transmitter that provides the service. Given real-time map information based on a directional antenna to the transmitter of the received value, and moving the location of the forecast to move the tracker to the location of the transponder, the algorithm offers. Location tracking algorithm implemented in the simulator to actually do the verification report which will show whether the performance of the show.

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Omnidirectional Distance Measurement based on Active Structured Light Image (능동 구조광 영상기반 전방향 거리측정)

  • Shin, Jin;Yi, Soo-Yeong;Hong, Young-Jin;Suh, Jin-Ho
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.8
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    • pp.751-755
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    • 2010
  • In this paper, we proposed an omnidirectional ranging system that is able to obtain $360^{\circ}$ all directional distances effectively based on structured light image. The omnidirectional ranging system consists of laser structured light source and a catadioptric omnidirectional camera with a curved mirror. The proposed integro-differential structured light image processing algorithm makes the ranging system robust against environmental illumination condition. The omnidirectional ranging system is useful for map-building and self-localization of a mobile robot.

Determination of Hypocenter Parameters Using a Personal Computer (개인용 컴퓨터에 의한 지진의 진원인자 결정)

  • Kim, So Gu;Kim, Tae Woo
    • Economic and Environmental Geology
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    • v.25 no.3
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    • pp.359-365
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    • 1992
  • The parameters of the Korean earthquake have been determined by the manual method, which results in consuming more time and more errors. In this study we used HYPO71PC to determine earthquake parameters and to identify unknown active faults and lineaments in South Korea. The epicenters determined by the new computer technique are almost identical with the manual method of Korea Meteorological Agency. It is also found that most of epicenters are coincident with unknown faults that are defined as the un-determined faults on the tectonic map of Korea, and/or structural lineaments in South Korea.

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Detecting cell cycle-regulated genes using Self-Organizing Maps with statistical Phase Synchronization (SOMPS) algorithm

  • Kim, Chang Sik;Tcha, Hong Joon;Bae, Cheol-Soo;Kim, Moon-Hwan
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.1 no.2
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    • pp.39-50
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    • 2008
  • Developing computational methods for identifying cell cycle-regulated genes has been one of important topics in systems biology. Most of previous methods consider the periodic characteristics of expression signals to identify the cell cycle-regulated genes. However, we assume that cell cycle-regulated genes are relatively active having relatively many interactions with each other based on the underlying cellular network. Thus, we are motivated to apply the theory of multivariate phase synchronization to the cell cycle expression analysis. In this study, we apply the method known as "Self-Organizing Maps with statistical Phase Synchronization (SOMPS)", which is the combination of self-organizing map and multivariate phase synchronization, producing several subsets of genes that are expected to have interactions with each other in their subset (Kim, 2008). Our evaluation experiments show that the SOMPS algorithm is able to detect cell cycle-regulated genes as much as one of recently reported method that performs better than most existing methods.

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Texture Transfer Based on Video (비디오 기반의 질감 전이 기법)

  • Kong, Phutphalla;Lee, Ho-Chang;Yoon, Kyung-Hyun
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06c
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    • pp.406-407
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    • 2012
  • Texture transfer is a NPR technique for expressing various styles according to source (reference) image. By late 2000s, there are many texture transfer researches. But video base researchers are not active. Moreover, they didn't use important feature like directional information which need to express detail characteristics of target. So, we propose a new method to generate texture transfer animation (using video) with directional effect for maintaining temporal coherence and controlling coherence direction of texture. For maintaining temporal coherence, we use optical flow and confidence map to adapt for occlusion/disocclusion boundaries. And we control direction of texture for taking structure of input. For expressing various texture effects according to different regions, we calculate gradient based on directional weight. With these techniques, our algorithm can make animation result that maintain temporal coherence and express directional texture effect. It is reflect the characteristics of source and target image well. And our result can express various texture directions automatically.

AI Chatbot Providing Real-Time Public Transportation and Route Information

  • Lee, So Young;Kim, Hye Min;Lee, Si Hyun;Ha, Jung Hyun;Lee, Soowon
    • Journal of the Korea Society of Computer and Information
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    • v.24 no.7
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    • pp.9-17
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    • 2019
  • As the artificial intelligence technology has developed recently, researches on chatbots that provide information and contents desired by users through an interactive interface have become active. Since chatbots require a variety of natural language processing technology and domain knowledge including typos and slang, it is currently limited to develop chatbots that can carry on daily conversations in a general-purpose domain. In this study, we propose an artificial intelligence chatbot that can provide real-time public traffic information and route information. The proposed chatbot has an advantage that it can understand the intention and requirements of the user through the conversation on the messenger platform without map application.

Human Action Recognition Using Deep Data: A Fine-Grained Study

  • Rao, D. Surendra;Potturu, Sudharsana Rao;Bhagyaraju, V
    • International Journal of Computer Science & Network Security
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    • v.22 no.6
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    • pp.97-108
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    • 2022
  • The video-assisted human action recognition [1] field is one of the most active ones in computer vision research. Since the depth data [2] obtained by Kinect cameras has more benefits than traditional RGB data, research on human action detection has recently increased because of the Kinect camera. We conducted a systematic study of strategies for recognizing human activity based on deep data in this article. All methods are grouped into deep map tactics and skeleton tactics. A comparison of some of the more traditional strategies is also covered. We then examined the specifics of different depth behavior databases and provided a straightforward distinction between them. We address the advantages and disadvantages of depth and skeleton-based techniques in this discussion.