• Title/Summary/Keyword: Self and Object

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A Comparative Study on Academic Achievement Motivation, Parental Expectation, Teacher Expectation, and Self-Efficacy of Korean and Chinese-Korean Adolescents (화교 청소년과 한국 청소년의 학업적 성취동기, 부모 및 교사기대, 자기효능감에 관한 비교 연구)

  • Kim, Do-Youn;Yang, Sung-Eun
    • Korean Journal of Human Ecology
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    • v.18 no.3
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    • pp.641-656
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    • 2009
  • The purpose of this study was to compare Chinese-Korean adolescents' with Korean adolescents's academic achievement motivation, parental expectation, teacher expectation, self-efficacy. The object is 492 students in the middle school 2th and high school 2th grade who are from Chinese-Korean school and Korean school in Seoul and Incheon. The major results of findings were as follows: First, Chinese-Korean adolescents were more high than academic achievement motivation in Korean adolescents. Second, juniors in middle school were more positive than parental expectation in high school. Third, Chinese-Korean adolescents were more positive than teacher expectation in Korean adolescents, and juniors in middle school are more positive than ones in high school. Forth, Chinese-Korean adolescents were more high than self-efficacy in Korean adolescents.

Local Self-Government in the Conditions of Digitization: International-Legal Experience

  • Perezhniak, Boris;Vasylchuk, Larysa;Bevz, Tetiana;Pyroha, Serhii;Ulianov, Oleksiy
    • International Journal of Computer Science & Network Security
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    • v.22 no.10
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    • pp.165-170
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    • 2022
  • Nowadays more and more attention is paid to digital technologies, digitization, and the digitization of public services in particular. Progressive countries aim to build "digital" governance and a digital economy. In this aspect, the international experience of using digitization in the field of public administration, including in local self-government bodies, plays an important role. Therefore, it is important to analyze the international legal experience of the functioning of local self-government in the conditions of digitization. The purpose of the work is to study the international legal experience of the functioning of local self-government in the conditions of digitization. The object of the study is local self-government in the conditions of digitization through the prism of international legal experience. The subject of the study is social relations that arise, change, and cease during the implementation of digitization in local self-government in Ukraine and foreign countries. The research methodology consists of such methods as the method of philosophical hermeneutics; dialectical method; classification method; comparative method; target method; method of documentary analysis; generalization method. Research results. As a result of the conducted research, the international experience of the functioning of local self-government in conditions of digitization was analyzed. In particular, the impact of digitization processes on the course of the decentralization reform in Ukraine is summarized. Also, from the analysis of international experience, a conclusion was made about the potential possibility of reducing the existing gap in the process of communication between the central government and united territorial communities thanks to the introduction of the latest technologies in the field of administrative services, to stimulate innovative and economic development of regions, attracting the attention of businesses and potential investors, as well as the functioning of more open local authorities with electronic communication tools.

Estimating Distance of a Target Object from the Background Objects with Electric Image (전기장을 이용한 물체의 거리 측정 연구)

  • Sim, Mi-Young;Kim, Dae-Eun
    • Journal of the Institute of Electronics Engineers of Korea SC
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    • v.47 no.3
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    • pp.56-62
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    • 2010
  • Weakly electric fish uses active sensing to detect the distortion of self-generated electric field in the underwater environments. The active electrolocation makes it possible to identify target objects from the surroundings without vision in the dark sea. Weakly electric fish have many electroreceptors over the whole body surface of electric fish, and sensor readings from a collection of electroreceptors are represented as an electric image. Many researchers have worked on finding features in the electric image to know how the weakly electric fish identify the target object. In this paper, we suggest a new mechanism of how the electrolocation can recognize a given target object among object plants. This approach is based on the differential components of the electric image, and has a potential to be applied to the underwater robotic system for object localization.

A fact-finding survey for the occurrence sort and a disposal way of industrial wastes in Young-nam area (영남권 사업장 폐기물의 발생종류 및 처리방법에 대한 실태조사)

  • 박용팔;이지희;홍원화
    • Proceeding of Spring/Autumn Annual Conference of KHA
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    • 2002.11a
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    • pp.179-182
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    • 2002
  • Today, augmentation of industrial wastes with industrial development demands diminution and recycling technical development for industrial wastes reduction. A statistical research of industry and constructional wastes as a request of the times can achieve the conservation of resource and the protection of environment. The ultimate object of the study is not only diminution and recycling of industrial wastes but also the degree of self-sufficiency in resource and the attainment of comfortable life environment, which can the accomplish the resource circulation system and make progress into the environmentally advanced country. The object of this investigation is industrial classification, a waste discharge quantity, a waste sort, waste disposal of industrial wastes in Yeung-nam area. The investigation of special quality in industrial wastes can be used to establish a wastes management policy and a disposition method .

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3-D Object Recognition and Restoration Independent of the Translation and Rotation Using an Ultrasonic Sensor Array (초음파센서 배열을 이용한 이동과 회전에 무관한 3차원 물체인식과 복원)

  • Cho, Hyun-Chul;Lee, Kee-Seong;SaGong, Geon
    • Proceedings of the KIEE Conference
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    • 1996.07b
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    • pp.1237-1239
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    • 1996
  • 3-D object recognition and restoration independent of the translation and rotation using an ultrasonic sensor array, neural networks and invariant moment are presented. Using invariant moment vectors on the acquired $16{\times}8$ pixel data, 3-D objects can be classified by SOFM(Self Organizing Feature Map) neural networks. Invariant moment vectors kept constant independent of the translation and rotation. The experiment result shows the suggested method can be applied to the environment recognition.

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The Relationship Between Shooting Athletes' Achievement Goal Orientation, Self-management and Exercise Performance (사격선수의 성취목표성향과 자기관리 및 운동수행의 관계)

  • Ryu, Won-Yong
    • Journal of Digital Convergence
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    • v.13 no.2
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    • pp.361-369
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    • 2015
  • For the research object of this study 112 university shooting athletes, registered with Korea Shooting Federation in 2014, have been selected. Statistics processing was carried out through SPSS 16.0 and AMOS 7.0. The following results were obtained by analysis of frequency, exploratory factor analysis, confirmatory factor analysis, correlation analysis and structural equation model analysis to serve it's purpose. First, task orientation had passive influence on self-management. Second, task orientation and ego-orientation had passive influence on perceived exercise performance. Third, self-management had passive influence on perceived exercise performance.

A Study on Center Detection and Motion Analysis of a Moving Object by Using Kohonen Networks and Time Delay Neural Networks (코호넨 네트워크 및 시간 지연 신경망을 이용한 움직이는 물체의 중심점 탐지 및 동작특성 분석에 관한 연구)

  • Hwang, Jung-Ku;Kim, Jong-Young;Jang, Tae-Jeong
    • Journal of Industrial Technology
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    • v.21 no.B
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    • pp.91-98
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    • 2001
  • In this paper, center detection and motion analysis of a moving object are studied. Kohonen's self-organizing neural network models are used for the moving objects tracking and time delay neural networks are used for dynamic characteristic analysis. Instead of objects brightness, neuron projections by Kohonen Networks are used. The motion of target objects can be analyzed by using the differential neuron image between the two projections. The differential neuron image which is made by two consecutive neuron projections is used for center detection and moving objects tracking. The two differential neuron images which are made by three consecutive neuron projections are used for the moving trajectory estimation. It is possible to distinguish 8 directions of a moving trajectory with two frames and 16 directions with three frames.

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Augmented Reality Technology-based Dental Radiography Simulator for Preclinical Training and Education on Dental Anatomy

  • Gu, Ja-Young;Lee, Jae-Gi
    • Journal of information and communication convergence engineering
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    • v.17 no.4
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    • pp.274-278
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    • 2019
  • It is important that students are provided opportunities to practice their skills in acquiring radiographic images. However, these opportunities are currently limited because of the risk of radiation exposure. To overcome this limitation, a new augmented reality-based radiography simulator was developed that enables students to practice radiographic techniques as part of self-directed learning without time and space constraints. Subsequently, cross-sectional images of a manikin phantom head obtained via computed tomography were reconstructed into a three-dimensional object. An image marker that could be recognized by a mobile device and could allow users to practice dental radiography techniques was devised. The three-dimensional object was augmented to the mobile device; consequently, among 106 stored dental radiographs on the device, a radiograph corresponding to specific imaging conditions was opened when users performed radiographic procedures. This technology could improve dental students' understanding of dental anatomy and contribute to improving their competency in acquiring dental radiographs.

A Study of Generation of Coherent Vortex in Late Wake (잔류내 응집 구조 와류의 생성에 관한 연구)

  • Lee Sungsu
    • Proceedings of the KSME Conference
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    • 2002.08a
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    • pp.443-446
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    • 2002
  • Wake downstream of an object in the stratified flow has been of long-standing interest in fluid dynamics because of its similarity to geophysical flow over topographical terrains and more recently, concerns about the wake left behind a body moving through the ocean thermocline. Decades of studies of geophysical flow have unveiled that the flow downstream of obstacles in stratified flow consists of attached wake and strong internal waves, or separated, fluctuating wake and persistent late wakes, all of which depend on the flow conditions. Among unique and interesting characteristics of the stratified flow past obstacles is the generation of coherent vortex structure in the late wake far downstream of the object. Without the density stratification, the flow field downstream becomes undisturbed after relatively fast diminishing of the near wake. However, no matter how small the stratification is, the flow field downstream self-develops coherent vortex structures even after diminishing of the near wake. This paper present a computational approach to simulate the generation mechanism of the coherent vortex and analysis of the vortical structure.

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Efficiency Estimation of Ultrasonic Sensor Fabricated with Porous Piezoelectric Resonator by Experiment of 3-D Underwater Object Recotion (3차원 수중 물체인식 실험에 의한 다공질 압전 초음파 센서의 성능평가)

  • 조현철;이수호;박정학;사공건
    • Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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    • 1997.11a
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    • pp.321-324
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    • 1997
  • In this study, Efficiency estimation of ultrasonic sensor fabricated with porous piezoelectric resonator by experiment of 3-D underwater object recognition are presented. The sensor was satisfied with requirement of ultrasonic sensor. The recognition rates for the fixed objects and the translation-rotation objects are 95.3 and 92.7[%], respectively using porous piezoelectric ultrasonic sensor and SOFM neural network. According to the experimental results, It is believed that the self-made ultrasonic sensor can be applied as underwater ultrasonic sensor.

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