• Title/Summary/Keyword: foreign objects

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An Augmented Reality-Based Digital App as an Educational Tool for Foreign Language Learning and the Evaluation of Its Learning Effect: Towards an Examination of Learning Motivation, Learning Satisfaction, and Learning Engagement (증강현실(Augmented Reality) 기술 기반의 글자교구재 디지털 앱 개발 사례와 교육효과 평가: 학습동기, 학습만족도, 학습몰입도를 중심으로)

  • Sae Roan Kim;Eun Jin Won;Hyung Gi Kim;Pil Jung Yun
    • Journal of Information Technology Services
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    • v.22 no.4
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    • pp.141-157
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    • 2023
  • The present work aimed to present the development of 'Funt', the augmented reality-based digital app as an educational tool for foreign language learning. Our work further evaluated the learning efficacy of the tool by the assessment of the three dependent measures including learning motivation, learning satisfaction, and learning involvement. With a learning app of 'Funt', students can use AR app to access recognition-based or location-based experiences such that any objects, artifacts, or media appear to be in the app. Students are then able to interact with the digital content by manipulating it to learn more about it. Students's engagement should also increase when they create their own experience in AR to demonstrate their understanding of a particular concept or words. Learning effects were evaluated on survey data collected from a hundred respondents aging six to nine years. One-group design for pre-test and post-test was utilized to examine the differences of learning efficacy by comparing the non-'Funt' group and the Funt group scores. A pairwise t-Test was performed for pairwise comparisons between two learning groups. The results indicate that the 'Funt' group scored significantly higher than the non-'Funt' group in the measures of learning motivation, learning satisfaction, and learning involvement. Overall, our results suggest that 'Funt' attracted the students' attention, provided them with a fun context to learn English vocabulary, and develop positive motivation and satisfaction towards vocabulary learning through AR technology.

Building-up and Feasibility Study of Image Dataset of Field Construction Equipments for AI Training (인공지능 학습용 토공 건설장비 영상 데이터셋 구축 및 타당성 검토)

  • Na, Jong Ho;Shin, Hyu Soun;Lee, Jae Kang;Yun, Il Dong
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.43 no.1
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    • pp.99-107
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    • 2023
  • Recently, the rate of death and safety accidents at construction sites is the highest among all kinds of industries. In order to apply artificial intelligence technology to construction sites, it is essential to secure a dataset which can be used as a basic training data. In this paper, a number of image data were collected through actual construction site, for which major construction equipment objects mainly operated in civil engineering sites were defined. The optimal training dataset construction was completed by annotation process of about 90,000 image dataset. Reliability of the dataset was verified with the mAP of over 90 % in use of YOLO, a representative model in the field of object detection. The construction equipment training dataset built in this study has been released which is currently available on the public data portal of the Ministry of Public Administration and Security. This dataset is expected to be freely used for any application of object detection technology on construction sites especially in the field of construction safety in the future.

Registration and Intensity Compensation of Tilted Images of the Mitochondria Section Obtained from the Transmission Electron Microscopy (미토콘드리아 절편의 여러 투사각에서 투과 전자 현미경으로 획득한 영상의 정합과 밝기 보정)

  • Kim, Dong-Sik
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.46 no.3
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    • pp.1-9
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    • 2009
  • Using the projected 2-dimensional tilted images obtained from the transmission electron microscopy, we can reconstruct the 3-dimensional structures of objects, such as cells. As a preprocessing procedure, the tilted images should be registered and compensated in terms of the spatial position and the intensity difference, respectively. In this paper, we employ the fiducial marker-based approach to perform a registration, and introduce a simple intensity compensation scheme. Based on the transmissivity image formation model, we propose an algorithm that can compensate the components of the illumination and transmissivity of each image according to the tilted angle. Numerical analysis using real images obtained from the transmission electron microscopy are shown in this paper to show the performance of the proposed algorithm.

A study on visual tracking of the underwater mobile robot for nuclear reactor vessel inspection

  • Cho, Jai-Wan;Kim, Chang-Hoi;Choi, Young-Soo;Seo, Yong-Chil;Kim, Seung-Ho
    • 제어로봇시스템학회:학술대회논문집
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    • 2003.10a
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    • pp.1244-1248
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    • 2003
  • This paper describes visual tracking procedure of the underwater mobile robot for nuclear reactor vessel inspection, which is required to find the foreign objects such as loose parts. The yellowish underwater robot body tends to present a big contrast to boron solute cold water of nuclear reactor vessel, tinged with indigo by Cerenkov effect. In this paper, we have found and tracked the positions of underwater mobile robot using the two color information, yellow and indigo. The center coordinates extraction procedures are as follows. The first step is to segment the underwater robot body to cold water with indigo background. From the RGB color components of the entire monitoring image taken with the color CCD camera, we have selected the red color component. In the selected red image, we extracted the positions of the underwater mobile robot using the following process sequences; binarization, labelling, and centroid extraction techniques. In the experiment carried out at the Youngkwang unit 5 nuclear reactor vessel, we have tracked the center positions of the underwater robot submerged near the cold leg and the hot leg way, which is fathomed to 10m deep in depth.

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Unusual Bilateral Impalement Injury with Rusted Iron Bars on Face and Neck

  • Suh, Hyun Suk;Pak, Ji Hyun;Hong, Seung-Eun;Kang, So Ra
    • Archives of Craniofacial Surgery
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    • v.16 no.3
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    • pp.147-150
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    • 2015
  • Impalement injury is the subset of penetrating trauma, defined as fixed, elongated objects penetrate and remain in the human body cavity or region by relatively low velocity. We report an unusual case of facial and neck impalement where two dirty rusted iron bars penetrated forehead bilaterally and exited neck and ear respectively without causing major organ injuries. After thorough radiologic and physical evaluation, the patient got medical and surgical treatment. The patient was discharged without complication after four day of delayed wound closure. There have been no complications and sequelaes related with trauma, wound infection and scar contracture at 3-year follow-up. According to affected organs and pattern of impalement, individualized and multidisciplinary surgical approach should be considered. Following these guidelines as in this case, it was possible to achieve excellent clinical outcome in impalement injury.

A Study on Loose Part Monitoring System in Nuclear Power Plant Based on Neural Network

  • Kim, Jung-Soo;Hwang, In-Koo;Kim, Jung-Tak;Moon, Byung-Soo;Lyou, Joon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.2 no.2
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    • pp.95-99
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    • 2002
  • The Loose Part Monitoring System(LPMS) has been designed to detect. locate and evaluate detached or loosened parts and foreign objects in the reactor coolant system. In this paper, at first, we presents an application of the back propagation neural network. At the preprocessing step, the moving window average filter is adopted to reject the reject the low frequency background noise components. And then, extracting the acoustic signature such as Starting point of impact signal. Rising time. Half period. and Global time, they are used as the inputs to neural network . Secondly, we applied the neural network algorithm to LPMS in order to estimate the mass of loose parts. We trained the impact test data of YGN3 using the backpropagation method. The input parameter for training is Rising clime. Half Period amplitude. The result shored that the neural network would be applied to LPMS. Also, applying the neural network to thin practical false alarm data during startup and impact test signal at nuclear power plant, the false alarms are reduced effectively.

Development of Nut Sorting Machine by Area Labelling Method (영역 라벨링법에 의한 밤 선별기 개발)

  • Lee Seong-Cheol;Lee Young-Choon;Pang Du-Yeol
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2005.06a
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    • pp.1858-1861
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    • 2005
  • Automatic nut sorting machine used to calculate the size of inserted nut and detect the black spot defection is introduced in this paper. Because most of farm products are imported from the underdeveloped countries, domestic farm products have no place to be sold in market. To overcome this critical situation, lowering the productivity cost is strongly demanded to compete with foreign corps. Imaged processed nut sorting algorithm is developed to the automatic nut sorting machine to remove the sorting time which takes lots of man power. This system is composed of mainly two parts, mechanical parts and vision system. The purpose of mechanical part is supplying the nuts automatically to make computer system capture the images of objects. Simplified mechanical system was assembled followed by 3D simulation by Pro/E design for the adaptive cost effects. Several image processing algorithms are designed to detect the spot defects and calculate the size of nuts. Test algorithm shows good results to the designed automatic nut sorting system.

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A SHAPE FEATURE EXTRACTION FOR COMPLEX TOPOGRAPHICAL IMAGES

  • Kwon Yong-Il;Park Ho-Hyun;Lee Seok-Lyong;Chung Chin-Wan
    • Proceedings of the KSRS Conference
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    • 2005.10a
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    • pp.575-578
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    • 2005
  • Topographical images, in case of aerial or satellite images, are usually similar in colors and textures, and complex in shapes. Thus we have to use shape features of images for efficiently retrieving a query image from topographical image databases. In this paper, we propose a shape feature extraction method which is suitable for topographical images. This method, which improves the existing projection in the Cartesian coordinates, performs the projection operation in the polar coordinates. This method extracts three attributes, namely the number of region pixels, the boundary pixel length of the region from the centroid, the number of alternations between region and background, along each angular direction of the polar coordinates. It extracts the features of complex shape objects which may have holes and disconnected regions. An advantage of our method is that it is invariant to rotation/scale/translation of images. Finally we show the advantages of our method through experiments by comparing it with CSS which is one of the most successful methods in the area of shape feature extraction

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Some problems of the Electronic Signature and the Electronic Certification (전자서명(電子署名)과 전자인증(電子認證)의 제문제(諸問題))

  • Choi, June-Sun
    • THE INTERNATIONAL COMMERCE & LAW REVIEW
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    • v.15
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    • pp.211-238
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    • 2001
  • This article discusses and analyses several issues regarding to the Electronic Signature and the Electronic Certification. The objects of the analyse are the each paragraphs of the Korean Electronic Signature Act of 1999 and that of the Korean Electronic Transaction Basic Act of 1999 in comparing to the paragraphs of the Electronic Signatures in Global and National Commerce Act' (E-Sign) of 2000, U.S.A. and that of the Draft UNCITRAL Model Law on Electronic Signature of 2000. The main issues discussed herein are the scope of the electronic signature, the definition of the electronic signature, permission of services to the non-authorized certification service providers, the effect of the electronic signature, the liability of the concerning parties of the electronic signature including liability of the certification service providers, that of the subscribers and that of the relying parties. This paper also discusses the problems of the possibility of issuing the electronic negotiable commercial papers, the validity of the electronic signatures done by electronic agents, the authority certificate, mutual certification of the foreign certification service providers, the permission of the electronic notary service, the problems of the consumer protection and the possibility of issuing electronic insurance policy, etc. The writer concludes by suggesting some measures that will activate the use of electronic signatures under the korean circumstances.

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An Analysis of 3-D Object Characteristics Using Locally Linear Embedding (시점별 형상의 지역적 선형 사상을 통한 3차원 물체의 특성 분석)

  • Lee, Soo-Chahn;Yun, Il-Dong
    • Journal of Broadcast Engineering
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    • v.14 no.1
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    • pp.81-84
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    • 2009
  • This paper explores the possibility of describing objects from the change in the shape according to the change in viewpoint. Specifically, we sample the shapes from various viewpoints of a 3-D model, and apply dimension reduction by locally linear embedding. A low dimensional distribution of points are constructed, and characteristics of the object are described from this distribution. Also, we propose two 3-D retrieval methods by applying the iterative closest point algorithm, and by applying Fourier transform and measuring similarity by modified Housdorff distance, and present experimental results. The proposed method shows that the change of shape according to the change in viewpoint can describe the characteristics of an object.