• Title/Summary/Keyword: Behavior detection

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Structural Behavior in Slab-Column Connections with Shear Plate Using Structural Experiment and Non-destructive Test, Spectral Analysis of Surface Waves (구조 실험과 SASW를 이용한 플랫 플레이트 기둥-슬래브접합부에서의 구조적 거동에 관한 연구)

  • Joo, Hyun-Jee;Cho, Young-Sang
    • Proceedings of the Korea Concrete Institute Conference
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    • 2004.05a
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    • pp.48-51
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    • 2004
  • This paper is to study the response of flat plate slab-column connections consisting of various types of shear reinforcement and steel plate subjected to gravity loadings, mainly punching shear forces using the non-destructive testing, spectral analysis of surface waves and structural experiments. The base specimen failed due to punching shear generated from the gravity. The three other types of slab shear reinforcement and steel plate showed effective in resisting punching shear for these types of connections under gravity loading. This study has focused in evaluating the velocity response of a Surface wave during the early age as the poured concrete specimens have been hardened, the possibility of damage detection in the slab-column connection and the relationship between the punching shear forces and the surface wave velocities under the condition that the punching shear forces had gradually increased until the flat plate slab in slab-column connection had been failed.

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Design of Hybrid Unsupervised-Supervised Classifier for Automatic Emotion Recognition (자동 감성 인식을 위한 비교사-교사 분류기의 복합 설계)

  • Lee, JeeEun;Yoo, Sun K.
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.63 no.9
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    • pp.1294-1299
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    • 2014
  • The emotion is deeply affected by human behavior and cognitive process, so it is important to do research about the emotion. However, the emotion is ambiguous to clarify because of different ways of life pattern depending on each individual characteristics. To solve this problem, we use not only physiological signal for objective analysis but also hybrid unsupervised-supervised learning classifier for automatic emotion detection. The hybrid emotion classifier is composed of K-means, genetic algorithm and support vector machine. We acquire four different kinds of physiological signal including electroencephalography(EEG), electrocardiography(ECG), galvanic skin response(GSR) and skin temperature(SKT) as well as we use 15 features extracted to be used for hybrid emotion classifier. As a result, hybrid emotion classifier(80.6%) shows better performance than SVM(31.3%).

A Study on Stable Motion Control of Biped Robot with 18 Joints (18관절 2족보행 로봇의 안정한 모션제어에 관한연구)

  • Park, Youl-Moon;Thu, Le Xuan;Won, Jong-Beom;Park, Sung-Jun;Kim, Yong-Gil
    • Journal of the Korean Society of Industry Convergence
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    • v.17 no.2
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    • pp.35-41
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    • 2014
  • This paper describes the obstacle avoidance architecture to walk safely around in factory and home environment, and presents methods for path planning and obstacle avoidance for the humanoid robot. Solving the problem of obstacle avoidance for a humanoid robot in an unstructured environment is a big challenge, because the robot can easily lose its stability or fall down if it hits or steps on an obstacle. We briefly overview the general software architecture composed of perception, short and long term memory, behavior control, and motion control, and emphasize on our methods for obstacle detection by plane extraction, occupancy grid mapping, and path planning. A main technological target is to autonomously explore and wander around in home environments as well as to communicate with humans.

Modeling Pairwise Test Generation from Cause-Effect Graphs as a Boolean Satisfiability Problem

  • Chung, Insang
    • International Journal of Contents
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    • v.10 no.3
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    • pp.41-46
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    • 2014
  • A cause-effect graph considers only the desired external behavior of a system by identifying input-output parameter relationships in the specification. When testing a software system with cause-effect graphs, it is important to derive a moderate number of tests while avoiding loss in fault detection ability. Pairwise testing is known to be effective in determining errors while considering only a small portion of the input space. In this paper, we present a new testing technique that generates pairwise tests from a cause-effect graph. We use a Boolean Satisbiability (SAT) solver to generate pairwise tests from a cause-effect graph. The Alloy language is used for encoding the cause-effect graphs and its SAT solver is applied to generate the pairwise tests. Using a SAT solver allows us to effectively manage constraints over the input parameters and facilitates the generation of pairwise tests, even in the situations where other techniques fail to satisfy full pairwise coverage.

Voltammetric Investigation of Vitamin B_6 at a Glassy Carbon Electrode and Its Application in Determination

  • Wu, Yun-Hua;Song, Fa-Jun
    • Bulletin of the Korean Chemical Society
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    • v.29 no.1
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    • pp.38-42
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    • 2008
  • The voltammetic behavior of Vitamin B6 (VB6) was studied at a glassy carbon electrode in phosphate buffers using cyclic, linear sweep and differential pulse voltammetry. The oxidation process was shown to be irreversible over the entire pH range studied (4.0-10.0) and was adsorption controlled. The adsorption amount of VB6 on the glassy carbon electrode was examined by chronocoulometry and the value of n, product of transfer coefficient and number of electrons transferred in the rate determining step, was determined from Tafel plot. VB6 was determined by differential pulse voltammetry and the peak current was found linearly with its concentration in the range of 3 10-7-2 10-4 mol L-1. The detection limit was 1 10-7 mol L-1. The procedure was successfully applied for the assay of VB6 in tablets.

Application of Acoustic Emission Technique for Detection of Crack in Mortar and Concrete (모르터와 콘크리트의 균열검출을 위한 음향방출기법의 적용)

  • 진치섭;신동익;장종철
    • Proceedings of the Korea Concrete Institute Conference
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    • 2000.10a
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    • pp.739-744
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    • 2000
  • Concrete structures generally have cracks, so for the safety and durability of structures, studies to detect cracks using nondestructive tests have been treated in great deal. In order to assure the reliability of concrete structure, microscopic fracture behavior and internal damage progress of concrete under the loading should be fully understood. The purpose of this study predicts location of initial crack and measures direction of crack propagation for on-line monitoring before the crack really grows in structures by using two-dimensional Acoustic Emission(AE) source location based on rectangular method with three-point bending test. This will allow efficient maintenance of concrete structure through monitoring of internal cracking based on AE method.

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Fundamental Study of Unit Proton Exchange Membrane Electrolysis for Realtime Detection of Tritium (실시간 삼중수소 검출을 위한 단위 양성자 교환 막 전기분해 기초연구)

  • CHAE, JONGMIN;YU, SANGSEOK
    • Journal of Hydrogen and New Energy
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    • v.29 no.2
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    • pp.226-234
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    • 2018
  • Even though the nuclear power plants has many advantages, safety issues of nuclear power plants are crucial factors of reliable operation. A tritium detector is a useful sensor to analyze amount of exposed radiation from the nuclear power plants. Currently, concentration of underwater tritium is measured precisely but it takes very long time. Since electrolysis is extracted hydrogen from the coolant of nuclear power plant, it can motivate to develop new type of real-time sensor. In this study, Proton Exchange Membrane (PEM) electrolyzer is studied for candidate as preprocessor of real-time tritium detector. Characteristics of the unit PEM electrolyzer were experimentally investigated. A simulation model is developed to understand physical behavior of unit PEM electrolyzer under dynamic operation.

Dynamic Fuzzy Model based Fault Diagnosis System and it's Application (동적퍼지모델기반 고장진단 시스템 및 응용)

  • Bae, Sang-Wook;Lee, Jong-Ryul;Park, Gwi-Tae
    • Proceedings of the KIEE Conference
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    • 1999.07b
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    • pp.627-629
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    • 1999
  • This paper presents a new FDI scheme based on dynamic fuzzy model(DFM) for the nonlinear system. The dynamic behavior of a nonlinear system is represented by a set of local linear models. The parameters of the DFM are identified in on-line and aggregated to generate a residual vector by the approximate reasoning. The neural network classifer learns the relationship between the residual vector and fault type and used both for the detection and isolation of process faults We apply the proposed FDI scheme to the FDI system design for a two-tank system and show the usefulness of the proposed scheme.

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A study on MicroCantilever Deflection for the Infrared Image Sensor using Bimetal Structure (바이메탈형 적외선 이미지 센서 제작과 칸틸레버 변위에 관한 고찰)

  • Kang, Jung-Ho
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.4 no.4
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    • pp.34-38
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    • 2005
  • This is a widespread requirement for low cost lightweight thermal imaging sensors for both military and civilian applications. Today, a large number of uncooled infrared detector developments are under progress due to the availability of silicon technology that enables realization of low cost IR sensor. System prices are continuing to drop, and swelling production volume will soon drive process substantially lower. The feasibility of micromechanical optical and infrared (IR) detection using microcantilevers is demonstrated. Microcantilevers provide a simple Structurefor developing single- and multi-element sensors for visible and infrared radiation that are smaller, more sensitive and lower in cost than quantum or thermal detectors. Microcantilevers coated with a heat absorbing layer undergo bending due to the differential stress originating from the bimetallic effect. This paper reports a micromachined silicon uncooled thermal imager intended for applications in automated process control. This paper presents the design, fabrication, and the behavior of cantilever for thermomechanical sensing.

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