초 저수축 콘크리트의 수축특성에 관한 실험적 연구

서태석 ( Seo¸ Tae-seok ),김강민 ( Kim¸ Kang-min ),이현승 ( Lee¸ Hyun-seunh ) 한국건축시공학회 2021 한국건축시공학회 학술발표대회 논문집 Vol.21 No.2

In Japan, ultra-low shrinkage concrete has been developed and commercialized to control drying shrinkage cracks to the limit. However, in the case of South Korea, the study on this technology has not yet been conducted in earnest. Therefore, the study was conducted for the development of ultra-low shrinkage concrete to control the drying shrinkage crack of concrete to the limit, and in this study, after determining the mixture of ultra-low shrinkage concrete, a wall type mock-up specimen was produced to observe the shrinkage behavior of ultra-low shrinkage concrete.

Pose Determination of a Mobile-Task Robot Using an Active Calibration of the Landmark

TaeSeok Jin,JinWoo Park,JandMyung Lee 제어로봇시스템학회 2003 제어로봇시스템학회 국제학술대회 논문집 Vol.2003 No.10

Virtual Environment Building and Navigation of Mobile Robot using Command Fusion and Fuzzy Inference

( Taeseok Jin ) 한국산업융합학회 2019 한국산업융합학회 논문집 Vol.22 No.4

This paper propose a fuzzy inference model for map building and navigation for a mobile robot with an active camera, which is intelligently navigating to the goal location in unknown environments using sensor fusion, based on situational command using an active camera sensor. Active cameras provide a mobile robot with the capability to estimate and track feature images over a hallway field of view. In this paper, instead of using “physical sensor fusion” method which generates the trajectory of a robot based upon the environment model and sensory data. Command fusion method is used to govern the robot navigation. The navigation strategy is based on the combination of fuzzy rules tuned for both goal-approach and obstacle-avoidance. To identify the environments, a command fusion technique is introduced, where the sensory data of active camera sensor for navigation experiments are fused into the identification process. Navigation performance improves on that achieved using fuzzy inference alone and shows significant advantages over command fusion techniques. Experimental evidences are provided, demonstrating that the proposed method can be reliably used over a wide range of relative positions between the active camera and the feature images.

Evaluation of the Effectiveness of NFC-based Anti-Theft Security System for Motorbike

Taeseok Jin 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.10

This paper proposes a method for the immobilization of motorbike brakes in conjunction with near-field communication (NFC) technology in order to meet the increasing demand for security and convenience of motorbike drivers. The immobilizer proposed in this paper improves previous detachable immobilizers based on mechanical locks in order to provide a fundamental solution to theft prevention. By adopting NFC, the system offers user authentication and personalization services in a secure manner. The author presents the principle of operation of the proposed method, and configuration of the immobilization device based on secure authentication. In this paper, a solenoid valve design is proposed to remotely perform lock/unlock operation with the aid of the motorbike immobilizer and information security system. The author presents the NFC secure authentication method for unlocking the immobilizer upon identifying the mobile terminal of the user, the method of automatic or manual control of the brake fluid pressure of a stopped motorbike, and the experimental mechanical prototyping results.

Integrated Task Planning based on Mobility of Mobile Manipulator(M2) Platform

TaeSeok Jin,Hyun-Sik Kim,Jong-Wook Kim 한국지능시스템학회 2009 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.9 No.3

This paper presents an optimized integrated task planning and control approach for manipulating a nonholonomic robot by mobile manipulators. Then, we derive a kinematics model and a mobility of the mobile manipulator(M2) platform considering it as the combined system of the manipulator and the mobile robot. to improve task execution efficiency utilizing the redundancy, optimal trajectory of the mobile manipulator(M2) platform are maintained while it is moving to a new task point. A cost function for optimality can be defined as a combination of the square errors of the desired and actual configurations of the mobile robot and of the task robot. In the combination of the two square errors, a newly defined mobility of a mobile robot is utilized as a weighting index. With the aid of the gradient method, the cost function is minimized, so the path trajectory that the M2 platform generates is optimized. The simulation results of the 2 ink planar nonholonomic M2 platform are given to show the effectiveness of the proposed algorithm.

Appearance Based Object Identification for Mobile Robot Localization in Intelligent Space with Distributed Vision Sensors

TaeSeok Jin,Kazuyuki Morioka,Hideki Hashimoto 한국지능시스템학회 2004 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.4 No.2

Robots will be able to coexist with humans and support humans effectively in near future. One of the most important aspects in the development of human-friendly robots is to cooperation between humans and robots. In this paper, we proposed a method for multi-object identification in order to achieve such human-centered system and robot localization in intelligent space. The intelligent space is the space where many intelligent devices, such as computers and sensors, are distributed. The Intelligent Space achieves the human centered services by accelerating the physical and psychological interaction between humans and intelligent devices. As an intelligent device of the Intelligent Space, a color CCD camera module, which includes processing and networking part, has been chosen. The Intelligent Space requires functions of identifying and tracking the multiple objects to realize appropriate services to users under the multi-camera environments. In order to achieve seamless tracking and location estimation many camera modules are distributed. They causes some errors about object identification among different camera modules. This paper describes appearance based object representation for the distributed vision system in Intelligent Space to achieve consistent labeling of all objects. Then, we discuss how to learn the object color appearance model and how to achieve the multi-object tracking under occlusions.

Position Estimation of Mobile Robots using Multiple Active Sensors with Network

TaeSeok Jin 한국지능시스템학회 2011 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.11 No.4

Recently, with the development of service robots and the concept of ubiquitous, the position estimation of mobile objects has received great interest. Some of the localization schemes are introduced, which provide the relative location of the moving objects subjected to accumulated errors. To implement a real time localization system, a new absolute position estimation method for a mobile robot in indoor environment is proposed. Design and implementation of the localization system comes from the usage of active beacon systems (based upon RFID technology). The active beacon system is composed of an RFID receiver and an ultra-sonic transmitter. The RFID receiver gets the synchronization signal from the mobile robot and the ultra-sonic transmitter sends out the traveling signal to be used for measuring the distance. Position of a mobile robot in a three dimensional space can be calculated basically from the distance information from three beacons and the absolute position information of the beacons themselves. In some case, the mobile robot can acquire the ultrasonic signals from only one or two beacons, due to the obstacles located along the moving path. In this paper, a position estimation scheme using fewer than three sensors is developed. Also, the extended Kalman filter algorithm is applied for the improvement of position estimation accuracy of the mobile robot.

Theoretical Construction of a Fragmented Society: Fragmentations in Social System and in Interpersonal Relationships

Taeseok Jeong,Dong-Hoon Seol 서울대학교 사회발전연구소 2022 Journal of Asian Sociology Vol.51 No.1

In this paper, we construct a theory of fragmented society to highlight and clarify a new phase of social differentiation where social integration or recovery of balance is no longer possible to achieve by using conventional methods. We define social fragmentation as the state of institutional and interpersonal breakdown, and fragmented society as a society where social fragmentation is so severe that integration is almost impossible. We propose a pair of concepts, impersonal fragmentation (or fragmentation in the social system) and personal fragmentation (or fragmentation in interpersonal relationships) to be employed as a methodological and analytical frame to analyze complex social changes. The concepts are an adaptation of broadly used terms: system integration and social integration. This analytical distinction enables us to analyze facets of system contradictions and the breakdown of human relationships. Our theory of fragmented society suggests that social atomization, de-linkage, and systematic imbalance in a social system; and renders social isolation, identity crisis, and social conflicts in interpersonal relationships. By providing a comprehensive account of the complex intersection and fusion of fragmentations in system and in interpersonal relationships, the theory of paves the way for identifying the problems and solutions to the uncertainty and instability in contemporary society.

DIND Data Fusion with Covariance Intersection in Robotic Space with Network Sensors

Taeseok Jin 한국정보통신학회 2015 2016 INTERNATIONAL CONFERENCE Vol.7 No.1

We will give an explanation for the Robotic Space system architecture designed and implemented in this study and a short review of existing techniques, since there exist several recent thorough books and review paper on this paper. Instead we will focus on the main results with relevance to the DIND data fusion with CI of Robotic Space. We will conclude by discussing some possible future extensions of Robotic Space. It is first dealt with the general principle of the navigation and guidance architecture, then the detailed functions tracking multiple objects, human detection and motion assessment, with the results from the simulations run.

Multisensor Fusion Approach for Vision Aided Navigation of Autonomous Mobile Robot

Taeseok Jin 한국정보통신학회 2014 2016 INTERNATIONAL CONFERENCE Vol.6 No.1

This paper describes a sensor fusion-based navigation method in an indoor environment for an autonomous mobile robot which can navigate and avoid obstacle. Stationary obstacles are avoided with active camera vision and environment is recognized with sonar ring. We will report on experiments in a hallway using the AmigoBot. And we propose a sensor fusion technique where the data sets for the previous moments are properly transformed and fused into the current data sets to enable accurate measurement, such as, distance to an obstacle and location of the mobile robot itself. Experimental evidences are provided, demonstrating that the proposed method can be reliably used over a wide range of relative positions between the active camera and the feature images.