• Title/Summary/Keyword: 데이터의표현방법

Search Result 1,964, Processing Time 0.028 seconds

HTML Tag Depth Embedding: An Input Embedding Method of the BERT Model for Improving Web Document Reading Comprehension Performance (HTML 태그 깊이 임베딩: 웹 문서 기계 독해 성능 개선을 위한 BERT 모델의 입력 임베딩 기법)

  • Mok, Jin-Wang;Jang, Hyun Jae;Lee, Hyun-Seob
    • Journal of Internet of Things and Convergence
    • /
    • v.8 no.5
    • /
    • pp.17-25
    • /
    • 2022
  • Recently the massive amount of data has been generated because of the number of edge devices increases. And especially, the number of raw unstructured HTML documents has been increased. Therefore, MRC(Machine Reading Comprehension) in which a natural language processing model finds the important information within an HTML document is becoming more important. In this paper, we propose HTDE(HTML Tag Depth Embedding Method), which allows the BERT to train the depth of the HTML document structure. HTDE makes a tag stack from the HTML document for each input token in the BERT and then extracts the depth information. After that, we add a HTML embedding layer that takes the depth of the token as input to the step of input embedding of BERT. Since tokenization using HTDE identifies the HTML document structures through the relationship of surrounding tokens, HTDE improves the accuracy of BERT for HTML documents. Finally, we demonstrated that the proposed idea showing the higher accuracy compared than the accuracy using the conventional embedding of BERT.

A Robustness Analysis of Korea Expressway Network

  • Lee, Sung-Geun;Han, Chi-Geun
    • Journal of the Korea Society of Computer and Information
    • /
    • v.26 no.4
    • /
    • pp.85-91
    • /
    • 2021
  • Some sections of the highway are closed due to disasters and accidents. In this situation, it analyzes what kind of situation occurs due to functional failure in the highway network. The domestic highway network can be expressed as a graph. Blocking some sections of the highway can turn into a national disaster. In this paper, we analyze the robustness of the domestic highway network. The robustness of expressways refers to the degree to which the traffic conditions of the domestic expressway network deteriorate due to the blockage of some sections. The greater the robustness, the smaller the effect of some blocking appears. This study is used to evaluate the congestion level of one section of the transportation network, and a value obtained by dividing the section traffic volume (V) by the section traffic volume (C) is used. This study analyzes the robustness of highways by using the actual traffic volume data of the departure and arrival points of domestic highways, and analyzes the changes in traffic volume due to partial blockage through experimental calculations. Although this analysis cannot reflect the exact reality of domestic highways, it is judged to be sufficient for the purpose of confirming the basic robustness of the overall network.

Prediction of Slope Failure Arc Using Multilayer Perceptron (다층 퍼셉트론 신경망을 이용한 사면원호 파괴 예측)

  • Ma, Jeehoon;Yun, Tae Sup
    • Journal of the Korean Geotechnical Society
    • /
    • v.38 no.8
    • /
    • pp.39-52
    • /
    • 2022
  • Multilayer perceptron neural network was trained to determine the factor of safety and slip surface of the slope. Slope geometry is a simple slope based on Korean design standards, and the case of dry and existing groundwater levels are both considered, and the properties of the soil composing the slope are considered to be sandy soil including fine particles. When curating the data required for model training, slope stability analysis was performed in 42,000 cases using the limit equilibrium method. Steady-state seepage analysis of groundwater was also performed, and the results generated were applied to slope stability analysis. Results show that the multilayer perceptron model can predict the factor of safety and failure arc with high performance when the slope's physical properties data are input. A method for quantitative validation of the model performance is presented.

Developing a Learning Model based on Computational Thinking (컴퓨팅 사고기반 융합 수업모델 개발)

  • Yu, Jeong-Su;Jang, Yong-Woo
    • Journal of Industrial Convergence
    • /
    • v.20 no.2
    • /
    • pp.29-36
    • /
    • 2022
  • Computational thinking in the AI and Big Data era for digital society means a series of problem-solving methods that involve expressing problems and their solutions in ways that computers can execute. Computational thinking is an approach to solving problems, designing systems, and understanding human behavior by deriving basic concepts in computer science, and solving difficult problems and elusive puzzles for students. We recently studied 93 pre-service teachers who are currently a freshman at ◯◯ university. The results of the first semester class, the participants created a satisfactory algorithm of the video level. Also, the proposed model was found to contribute greatly to the understanding of the computational thinking of the students participating in the class.

An Analysis of Technology Stress of Call Center Employees: Focusing on Digital Shadow Work and Organizational Citizenship Behavior (콜센터 상담원의 기술 스트레스 현상 분석: 디지털그림자노동과 조직시민행동을 중심으로)

  • Byeong Hoon Lee;Joon Koh
    • Knowledge Management Research
    • /
    • v.23 no.4
    • /
    • pp.21-41
    • /
    • 2022
  • With the development of AI and digital technologies such as big data, metaverse, and the Internet of Things, Robotic Process Automation (RPA) has brought great development and change to companies. Among these realistic industrial areas by RPA, the call center service area, which consists of a combination of complex high-tech systems and professional operation groups, has now reached the stage where AI is conducting counseling. The evolution of this digital transformation has become an important direction of change in the digital-related industry sector. Along with these changes, there have been many changes in the technical stress of the members of the organization within the RPA organization and their solutions. In this study, the representative psychological mechanisms were presented as Digital Shadow Work (DSW), expressed as 'unpaid work', and Organizational Citizenship Behavior (OCB), which is 'an act that helps organizations other than their duties'. This study theoretically contributes to the extension of the DSW concept to the organizational members.

A Study on the Revision Plan of KORMARC Format for Authority Data (KORMARC 전거통제용 개정 방안에 대한 연구)

  • Lee, Eun-Ju;Lee, Mihwa
    • Journal of Korean Library and Information Science Society
    • /
    • v.53 no.1
    • /
    • pp.265-282
    • /
    • 2022
  • In the library catalog, the scalability of information acquisition can be guaranteed by expressing various relationships existing between resources. Such a bibliographical relationship can be realized through the authority record. Therefore, the revision of 「KORMARC Format for Authority Data」, the national standard for authority records, is inevitably important. Therefore, for the revision of 「KORMARC Format for Authority Data」, (1) the latest international cataloging trends were analyzed, (2) the opinions of librarians were collected, (3) internal guidelines used for authority work were analyzed, and (4) latest version of MARC21 were analyzed. In addition, for the continuous revision of 「KORMARC Format for Authority Data」, the revision procedure of MARC21 was investigated to draw implications for the KORMARC revision method. Data was collected and utilized through literature reviews, MARC21 analysis, interviews with professors and librarians.

Landscape Evaluation of Sidewalk Environment using Sensibility Data (감성데이터를 이용한 보도환경의 경관평가에 관한 연구)

  • Lee, Byung Joo;Park, Sang Myung;Namgung, Moon
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.26 no.2D
    • /
    • pp.265-273
    • /
    • 2006
  • On the occasion of high price oil generation, we have to promote activation policy for public transportation and hold back to use passenger car, it is very important to improve of sidewalk environment for pedestrian. Evaluation for sidewalk environment will be fixed with sensibility to feel pedestrian. So, study for sensibility about comfort etc. to feel pedestrian will be carried out. In this paper, researchers interests in engineering methods to make material considering sensibility and image of human. Therefore, we carried out recognition experiment for sidewalk environment with Kansei engineering, and made a quantitativedata of sensibility adjective that it was surveyed by semantic deferential method. After grasp factors by principal analysis, we found factor effect to design criterion and sidewalk environment preference. So, we could identify a design factor for comfort environment.

Augmented Reality based Learning System for Solid Shapes (증강현실 기반 입체도형 학습도구 시스템)

  • Yeji Mun;Daehwan Kim;Dongsik Jo
    • Smart Media Journal
    • /
    • v.13 no.5
    • /
    • pp.45-51
    • /
    • 2024
  • Recently, realistic contents such as virtual reality(VR) and augmented reality (AR) are widely used for education to provide beneficial learning environments with thee-dimensional(3D) information and interactive technology. Specially, AR technology will be helpful to intuitively understand by adding virtual objects registered in the real learning environment with effective ways. In this paper, we developed an AR learning system using 3D spatial information in the 2D based textbook for studying math related to geometry. In order to increase spatial learning effect, we applied to solid shapes such as prisms and pyramids in mathematics education process. Also, it allows participants to use various shapes and expression methods (e.g., wireframe mode) with interaction. We conducted the experiment with our AR system, evaluated achievement and interest. Our experimental study showed positive results, our results are expected to provide effective learning methods in various classes through realistic visualization and interaction methods.

Research on Drivable Road Area Recognition and Real-Time Tracking Techniques Based on YOLOv8 Algorithm (YOLOv8 알고리즘 기반의 주행 가능한 도로 영역 인식과 실시간 추적 기법에 관한 연구)

  • Jung-Hee Seo
    • The Journal of the Korea institute of electronic communication sciences
    • /
    • v.19 no.3
    • /
    • pp.563-570
    • /
    • 2024
  • This paper proposes a method to recognize and track drivable lane areas to assist the driver. The main topic is designing a deep-based network that predicts drivable road areas using computer vision and deep learning technology based on images acquired in real time through a camera installed in the center of the windshield inside the vehicle. This study aims to develop a new model trained with data directly obtained from cameras using the YOLO algorithm. It is expected to play a role in assisting the driver's driving by visualizing the exact location of the vehicle on the actual road consistent with the actual image and displaying and tracking the drivable lane area. As a result of the experiment, it was possible to track the drivable road area in most cases, but in bad weather such as heavy rain at night, there were cases where lanes were not accurately recognized, so improvement in model performance is needed to solve this problem.

Documentation of Intangible Cultural Heritage Using Motion Capture Technology Focusing on the documentation of Seungmu, Salpuri and Taepyeongmu (부록 3. 모션캡쳐를 이용한 무형문화재의 기록작성 - 국가지정 중요무형문화재 승무·살풀이·태평무를 중심으로 -)

  • Park, Weonmo;Go, Jungil;Kim, Yongsuk
    • Korean Journal of Heritage: History & Science
    • /
    • v.39
    • /
    • pp.351-378
    • /
    • 2006
  • With the development of media, the methods for the documentation of intangible cultural heritage have been also developed and diversified. As well as the previous analogue ways of documentation, the have been recently applying new multi-media technologies focusing on digital pictures, sound sources, movies, etc. Among the new technologies, the documentation of intangible cultural heritage using the method of 'Motion Capture' has proved itself prominent especially in the fields that require three-dimensional documentation such as dances and performances. Motion Capture refers to the documentation technology which records the signals of the time varing positions derived from the sensors equipped on the surface of an object. It converts the signals from the sensors into digital data which can be plotted as points on the virtual coordinates of the computer and records the movement of the points during a certain period of time, as the object moves. It produces scientific data for the preservation of intangible cultural heritage, by displaying digital data which represents the virtual motion of a holder of an intangible cultural heritage. National Research Institute of Cultural Properties (NRICP) has been working on for the development of new documentation method for the Important Intangible Cultural Heritage designated by Korean government. This is to be done using 'motion capture' equipments which are also widely used for the computer graphics in movie or game industries. This project is designed to apply the motion capture technology for 3 years- from 2005 to 2007 - for 11 performances from 7 traditional dances of which body gestures have considerable values among the Important Intangible Cultural Heritage performances. This is to be supported by lottery funds. In 2005, the first year of the project, accumulated were data of single dances, such as Seungmu (monk's dance), Salpuri(a solo dance for spiritual cleansing dance), Taepyeongmu (dance of peace), which are relatively easy in terms of performing skills. In 2006, group dances, such as Jinju Geommu (Jinju sword dance), Seungjeonmu (dance for victory), Cheoyongmu (dance of Lord Cheoyong), etc., will be documented. In the last year of the project, 2007, education programme for comparative studies, analysis and transmission of intangible cultural heritage and three-dimensional contents for public service will be devised, based on the accumulated data, as well as the documentation of Hakyeonhwadae Habseolmu (crane dance combined with the lotus blossom dance). By describing the processes and results of motion capture documentation of Salpuri dance (Lee Mae-bang), Taepyeongmu (Kang seon-young) and Seungmu (Lee Mae-bang, Lee Ae-ju and Jung Jae-man) conducted in 2005, this report introduces a new approach for the documentation of intangible cultural heritage. During the first year of the project, two questions have been raised. First, how can we capture motions of a holder (dancer) without cutoffs during quite a long performance? After many times of tests, the motion capture system proved itself stable with continuous results. Second, how can we reproduce the accurate motion without the re-targeting process? The project re-created the most accurate motion of the dancer's gestures, applying the new technology to drew out the shape of the dancers's body digital data before the motion capture process for the first time in Korea. The accurate three-dimensional body models for four holders obtained by the body scanning enhanced the accuracy of the motion capture of the dance.