• Title/Summary/Keyword: field task

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Exploring Scientific Argumentation Practice from Unproductive to Productive: Focus on Epistemological Resources and Contexts (비생산적 논변에서 생산적 논변으로의 실행 변화 탐색 -인식론적 자원과 맥락을 중심으로-)

  • Lee, Jeonghwa;Kim, Heui-Baik
    • Journal of The Korean Association For Science Education
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    • v.41 no.3
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    • pp.193-202
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    • 2021
  • This study aims to identify what kind of epistemological resources were activated in unproductive and productive practice by students participating in scientific argumentation, and to explore which contexts result in changes in argumentative practice. We collected transcriptions of participants' argumentative lessons and interview, participants' work sheets, and researchers' field notes. The analysis revealed that the focus group activated different kinds of epistemological resources depending on their practice; propagated, belief, and accumulation in unproductive practice and constructed, understanding, accumulation, formation and rebuttal in productive practice. We found two contextual cues that led to these changes; unfamiliar form of argumentative task was provided and emotional, epistemic, and conceptual support of the epistemic authority. This work can be provided as additional case studies to analyze changes in practice according to learner context-dependent epistemology, and we expect to contribute to discussions of productive epistemology and stabilization for students' authentic science engagement.

Data analysis for facility maintenance based on BIM - Case studies of facility maintenance based on BIM and practical process - (BIM 기반 시설물 유지관리를 위한 데이터 정의 - BIM기반 시설물관리 사례와 프로세스 분석 -)

  • Kim, Do Young
    • Journal of KIBIM
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    • v.10 no.3
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    • pp.1-11
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    • 2020
  • The introduction of BIM technology is expanding not only in the field of design and construction, but also in the maintenance and use stage. In particular, researchers are looking to build a smart facility management system that integrates advanced IT technology and BIM. This study proposes the parts to be used and added to the BIM information, focusing on information generated and exchanged in the application case that is an issue during the current facility maintenance work by introducing the smart facility management technology and its use cases. The effectiveness of this proposal is compared with the scenario in which BIM-based facility safety management is applied and the current business scenario. In conclusion, the requirements for smart facility management are analyzed, and linkable parts between facility management tasks and BIM data that should be reflected in the facility management system are presented. In the maintenance phase, through the use case scenario, the facility management phase is subdivided according to the characteristics and contents of the work. In addition, information about the facilities required for each task is specified. Furthermore, it is examined whether BIM data and IT information can be linked with existing facility management systems. It is a process and guideline that can be provided to practitioners who want to introduce BIM and smart technology to facility management. It can define the required data items and levels according to the required information step by step based on the maintenance case.

Research and Optimization of Face Detection Algorithm Based on MTCNN Model in Complex Environment (복잡한 환경에서 MTCNN 모델 기반 얼굴 검출 알고리즘 개선 연구)

  • Fu, Yumei;Kim, Minyoung;Jang, Jong-wook
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.24 no.1
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    • pp.50-56
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    • 2020
  • With the rapid development of deep neural network theory and application research, the effect of face detection has been improved. However, due to the complexity of deep neural network calculation and the high complexity of the detection environment, how to detect face quickly and accurately becomes the main problem. This paper is based on the relatively simple model of the MTCNN model, using FDDB (Face Detection Dataset and Benchmark Homepage), LFW (Field Label Face) and FaceScrub public datasets as training samples. At the same time of sorting out and introducing MTCNN(Multi-Task Cascaded Convolutional Neural Network) model, it explores how to improve training speed and Increase performance at the same time. In this paper, the dynamic image pyramid technology is used to replace the traditional image pyramid technology to segment samples, and OHEM (the online hard example mine) function in MTCNN model is deleted in training, so as to improve the training speed.

Semiotic mediation through technology: The case of fraction reasoning (초등학생들의 측정으로서 분수에 대한 이해 : 공학도구를 활용한 기호적 중재)

  • Yeo, Sheunghyun
    • The Mathematical Education
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    • v.60 no.1
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    • pp.1-19
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    • 2021
  • This study investigates students' conceptions of fractions from a measurement approach while providing a technological environment designed to support students' understanding of the relationships between quantities and adjustable units. 13 third-graders participated in this study and they were involved in a series of measurement tasks through task-based interviews. The tasks were devised to investigate the relationship between units and quantity through manipulations. Screencasting videos were collected including verbal explanations and manipulations. Drawing upon the theory of semiotic mediation, students' constructed concepts during interviews were coded as mathematical words and visual mediators to identify conceptual profiles using a fine-grained analysis. Two students changed their strategies to solve the tasks were selected as a representative case of the two profiles: from guessing to recursive partitioning; from using random units to making a relation to the given unit. Dragging mathematical objects plays a critical role to mediate and formulate fraction understandings such as unitizing and partitioning. In addition, static and dynamic representations influence the development of unit concepts in measurement situations. The findings will contribute to the field's understanding of how students come to understand the concept of fraction as measure and the role of technology, which result in a theory-driven, empirically-tested set of tasks that can be used to introduce fractions as an alternative way.

The Effect of Group Occupational Therapy based on Sensory-Motor Centered Convergence Activities on Self-regulation and Executive Function of Maladapted Children in First Grade Elementary School: A Case Study (감각-운동 중심의 융합 활동을 기초로 한 그룹 작업치료가 초등학교 1학년 부적응아동의 자기조절능력과 실행능력에 미치는 영향: 사례연구)

  • Cho, Sun Young
    • Journal of the Korea Convergence Society
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    • v.12 no.2
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    • pp.67-75
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    • 2021
  • The purpose of this study was to investigate the effect of sensory-motor centered group occupational therapy program on self-regulation and executive function in first grade elementary school maladjusted children. It is a case study through pre-post design with a total of 3 subjects. A pre-and post-test was conducted to determine the change in Self-Control Rating Scale and to find out the execution function by Bruininks-Oseretasky Test of Motor Proficiency. The sensory-motor centered group occupational therapy program performed movement activities based on vestibular sensation, proprioception, and tactile sensation, and the task was selected by investigating the child's preference for activity. As a result, subjects 1 and 2 children showed improved self-regulation and executive function. Based on the results of this study, it is considered that the group-centered sensory-motor program can be provided to children who show maladjustment in school by linking the educational field and clinical practice.

Accuracy Improvement of DEM Using Ground Coordinates Package (공공삼각점 위치자료를 이용한 DEM의 위치 정확도 향상)

  • Lee, Hyoseong;Oh, Jaehong
    • Korean Journal of Remote Sensing
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    • v.37 no.3
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    • pp.567-575
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    • 2021
  • In order to correct the provided RPC and DEM generated from the high-resolution satellite images, the acquisition of the ground control point (GCP) must be preceded. This task is a very complicate that requires field surveys, GPS surveying, and image coordinate reading corresponding to GCPs. In addition, since it is difficult to set up and measure a GCP in areas where access is difficult or impossible (tidal flats, polar regions, volcanic regions, etc.), an alternative method is needed. In this paper, we propose a 3D surface matching technique using only the established ground coordinate package, avoiding the ground-image-location survey of the GCP to correct the DEM produced from WorldView-2 satellite images and the provided RPCs. The location data of the public control points were obtained from the National Geographic Information Institute website, and the DEM was corrected by performing 3D surface matching with this package. The accuracy of 3-axis translation and rotation obtained by the matching was evaluated using pre-measured GPS checkpoints. As a result, it was possible to obtain results within 2 m in the plane location and 1 m in height.

The Analysis of North Korea's Economic Policy Trends through Topic Modeling (토픽모델링을 통한 북한의 경제정책 동향 분석)

  • Kang, Kyung Hwa
    • Smart Media Journal
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    • v.9 no.4
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    • pp.44-51
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    • 2020
  • Since the mid-to-late 1990s, there have obviously been many changes in the North Korean economy. Since the change has been more pronounced since Kim Jong Un took power in 2012, the purpose of the paper is to track the trend of economic policy by timing. In this paper, I use LDA Topic Modeling, a text-mining analyzer method, to analyze the economics journal "Economic Research," which is a representative literature in the economic field published in North Korea. An in-depth analysis of the "economic research," which has an unrivaled position as an economic journal produced in North Korea, can be said to be an essential task in tracking the reality, limitations facing the economy and alternatives that North Korean authorities are aware of. Through the "Economic Research," where various topics of debate on the North Korean economy are hidden, the North Korean leader's economic policy flow is examined and the contents of the "change" intended by the current Kim Jong-un regime are analyzed.

A Study on the Informatization and Intelligent Strategy of Education and Training based on 4th Industrial Revolution Technology (4 산업혁명 기술 기반 교육훈련 정보화 및 지능화 전략)

  • Lee, Hee Nam
    • Journal of Information Technology Services
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    • v.20 no.1
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    • pp.67-79
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    • 2021
  • The advent of the 4th Industrial Revolution is also causing many changes in defense operations. Defense reform and the fourth industrial revolution promoted smart defense innovation, and attempts are being made to incorporate cutting-edge science and technology into various fields such as weapons systems and defense operations. Education and training is one of the areas in which information and intelligence are urgently needed in the spirit of defense operations. Due to the nature of defense education and training, which aims to fight against the enemy, there is no emphasis on psychological training in the field rather than informatization, but in developed countries with various experiences of modern warfare, investment and vitalization of education and training are vital. Through this, efforts are being made to foster soldiers with problem-solving skills in uncertain battlefields. The informatization and intelligence of defense education and training is no longer a matter that can be delayed, and the innovation of education and training using cutting-edge science and technology can be said to be an age-old task to improve the results of education and training in the fourth industrial revolution. The purpose of this is because the application of related technologies is not the goal itself as the 4th Industrial Revolution arrives, but it has been made possible through the rapid advancement of science and technology that has made it difficult to realize education and training, even though it has long been desired. Ultimately, education and training data will be integrated and artificial intelligence-based intelligent learning systems will maximize the performance of education and training, thereby improving the combat readiness.

Image Super-Resolution for Improving Object Recognition Accuracy (객체 인식 정확도 개선을 위한 이미지 초해상도 기술)

  • Lee, Sung-Jin;Kim, Tae-Jun;Lee, Chung-Heon;Yoo, Seok Bong
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.25 no.6
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    • pp.774-784
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    • 2021
  • The object detection and recognition process is a very important task in the field of computer vision, and related research is actively being conducted. However, in the actual object recognition process, the recognition accuracy is often degraded due to the resolution mismatch between the training image data and the test image data. To solve this problem, in this paper, we designed and developed an integrated object recognition and super-resolution framework by proposing an image super-resolution technique to improve object recognition accuracy. In detail, 11,231 license plate training images were built by ourselves through web-crawling and artificial-data-generation, and the image super-resolution artificial neural network was trained by defining an objective function to be robust to the image flip. To verify the performance of the proposed algorithm, we experimented with the trained image super-resolution and recognition on 1,999 test images, and it was confirmed that the proposed super-resolution technique has the effect of improving the accuracy of character recognition.

Manipulator with Camera for Mobile Robots (모바일 로봇을 위한 카메라 탑재 매니퓰레이터)

  • Lee Jun-Woo;Choe, Kyoung-Geun;Cho, Hun-Hee;Jeong, Seong-Kyun;Bong, Jae-Hwan
    • The Journal of the Korea institute of electronic communication sciences
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    • v.17 no.3
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    • pp.507-514
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    • 2022
  • Mobile manipulators are getting lime light in the field of home automation due to their mobility and manipulation capabilities. In this paper, we developed a small size manipulator system that can be mounted on a mobile robot as a preliminary study to develop a mobile manipulator. The developed manipulator has four degree-of-freedom. At the end-effector of manipulator, there are a camera and a gripper to recognize and manipulate the object. One of four degree-of-freedom is linear motion in vertical direction for better interaction with human hands which are located higher than the mobile manipulator. The developed manipulator was designed to dispose the four actuators close to the base of the manipulator to reduce rotational inertia of the manipulator, which improves stability of manipulation and reduces the risk of rollover. The developed manipulator repeatedly performed a pick and place task and successfully manipulate the object within the workspace of manipulator.