• Title/Summary/Keyword: Knowledge-based platform

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Tracking Control of Stewart Platform Manipulator via Enhanced Sliding Mode Control (개선된 슬라이딩 모드제어기를 이용한 스튜워트플렛폼의 추종제어)

  • 김낙인;이종원
    • Transactions of the Korean Society of Automotive Engineers
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    • v.9 no.4
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    • pp.166-175
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    • 2001
  • The high speed tracking control of a 6-6 Stewart platform manipulator (SPM) normally requires knowledge of its complex full dynamics and measurement of its base motion when the SPM operates on a motion nit. In this study, an enhanced sliding mode control scheme has been developed, which is based on the reduced dynamics, not necessitating measurement of the base motion. The enhanced sliding mode control implemented with the perturbation compensation and modified reaching phase alleviation functions has been successfully employed for high speed tacking control of the laboratory SPM, when it is subjected to a virtual base motion.

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Module-based WebGIS platform for spatial information sharing system (공간정보 공유체계를 위한 모듈기반 WebGIS 플랫폼 연구)

  • Shin, Jeong-Seog;Choi, Yeong-Rak
    • Journal of Korea Multimedia Society
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    • v.25 no.11
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    • pp.1557-1563
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    • 2022
  • Currently Spatial Data is collected and processed in various methods, and its usability is very high. However, the existing Spatial Data analysis Software usually requires professional knowledge in the collection, refinement, and application of spatial Date, making it difficult to access and apply it. Therefore, this study established a new WebGIS platform with improved accessibility and usability to solve these problems. This platform supports various services such as master map sharing, spatial data generation, automatic coordinate system conversion, WMS issuance, grid generation, and grid analysis. These services increase operational convenience, such as simplifying repetitive tasks and automatically expressing text files. While it is believed that non-experts can easily and conveniently because of them to simplify and express the results. In addition, it is judged to have high accuracy and reliability compared to the analysis results using the existing Open Source-based GIS software.

The Effect of Consumer Motivations on Purchase Intention of Online Fashion - Sharing Platform

  • WON, Jessica;KIM, Bo-Young
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.6
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    • pp.197-207
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    • 2020
  • This study aims to examine the influence of attitudes on customers' intention to participate in online fashion sharing. A framework was proposed to investigate the relationships between consumer motivation, consumer attitude, and purchase intention in the manner of adopting a fashion-sharing platform. Consumer motivations are divided into three categories: utilitarian, hedonic, and ecological. The moderating effects of product replacement cycle (PRC) on consumer attitude and purchase intention are also investigated. Data collection was developed using a web-based survey where 180 consumer respondents from South Korea participated. The results of our analysis indicate that consumers' hedonic and ecological motivations are positively related to favorable consumer attitudes, even when consumers' utilitarian motivation is denied. Consumer attitude is also positively related to purchase intention in the fashion-sharing platform. A moderating effect of PRC is recorded between consumer attitude and purchase intention based on high and low PRC, as well as the effect of ecological motivation and consumer attitude on high PRC. This study enhances knowledge of consumer motivational factors in a fashion-sharing platform and provides insights for service providers to help them improve their target marketing.

Component-based AI Application Support System using Knowledge Sharing Graph for EdgeCPS Platform (EdgeCPS 플랫폼을 위한 지식 공유 그래프를 활용한 컴포넌트 기반 AI 응용 지원 시스템)

  • Kim, Young-Joo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.8
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    • pp.1103-1110
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    • 2022
  • Due to the rapid development of AI-related industries, countless edge devices are working in the real world. Since data generated within the smart space consisted of these devices is beyond imagination, it is becoming increasingly difficult for edge devices to process. To solve this issue, EdgeCPS has appeared. EdgeCPS is a technology to support harmonious execution of various application services including AI applications through interworking between edge devices and edge servers, and augmenting resources/functions. Therefore, we propose a knowledge-sharing graph-based componentized AI application support system applicable to the EdgeCPS platform. The graph is designed to effectively store information which are essential elements for creating AI applications. In order to easily change resource/function augmentation under the support of the EdgeCPS platform, AI applications are operated as components. The application support system is linked with the knowledge graph so that users can easily create and test applications, and visualizes the execution aspect of the application to users as a pipeline.

Design and Implementation of Video Seminar System based on SNS-Web Platform (SNS-웹 플랫폼 기반 영상세미나 시스템의 설계 및 구현)

  • Kim, Hee-Dae;Kim, Hyeong-Il;Yoon, Min;Oh, Young-Man;Park, Yeo-Sam;Chang, Jae-Woo
    • The Journal of the Korea Contents Association
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    • v.12 no.5
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    • pp.40-51
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    • 2012
  • In this paper, we design and implement a SNS-web platform based video seminar system which supports effective information sharing and cooperation. The proposed system has 3 characteristics. First, a user can take part in Web-based video seminar without installing a specific hardware or software because our system has been developed with Java Web Start. Secondly, our system can be executed on various operating systems and internet web browsers. Thirdly, our system can support the expert knowledge sharing and cooperation among experts who are connected on SNS because the system operate on SNS-web platform. Finally, we show from our performance analysis that our system is efficient in terms of average delay time.

Designing Coherent User Interfaces of N-Screen Services Reflecting Users' Task Knowledge

  • Park, Hwan-Su;Lee, Dong-Seok
    • Journal of the Ergonomics Society of Korea
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    • v.31 no.1
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    • pp.41-48
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    • 2012
  • Objective: Companies want to expand their business by providing their services at other devices and new services based upon existing services. Therefore, they look for building brand identity by providing same experience throughout devices and services. Background: Many services are available to use at multiple devices including mobile phones, tablet, personal computers, and televisions, thanks to proliferation of n-screen and cloud technology. Method: It was discussed that consistency, which emphasizes the regularity and has been one of essential aspects of user interface design, seems not effective to be applied to n-screen services, owing to different screen size, input and output peripherals, usage environment and users' attitude. Results: A new definition of same experience among different devices and services, called coherence, was introduced and abstraction levels of user interfaces were proposed as the denominator of defining coherence. Then types of users' task knowledge at each abstraction level were discussed with examples. Conclusion: This paper concluded by discussing design requirements for designing coherent user interfaces among devices and services.

Web-enabled Healthcare System for Hypertension : Hyperlink-based Inference Approach

  • Song Yong Uk;Chae Young Moon;Ho Seung Hee;Cho Kyoung Won
    • Proceedings of the Korea Association of Information Systems Conference
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    • 2003.05a
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    • pp.271-285
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    • 2003
  • In the conduct of this study, a web-enabled healthcare system for the management of hypertension was implemented through a hyperlink-based inference approach. The hyperlink-based inference platform implemented using the hypertext capacity of HTML which ensured accessibility, multimedia facilities, fast response, stability, ease of use and upgrade, and platform independency of expert systems. Many HTML documents, which are hyperlinked to each other based on expert rules, were uploaded beforehand to perform the hyperlink-based inference. The HTML documents were uploaded and maintained automatically by our proprietary tool called the Web-Based inference System (WeBIS) that supports a graphical user interface (GUI) for the input and edit of decision graphs. Nevertheless, the editing task of the decision graph using the GUI tool is a time consuming and tedious chore when the knowledge engineer must perform it manually. Accordingly, this research implemented an automatic generator of the decision graph for the management of hypertension. As a result, this research suggests a methodology for the development of Web-enabled healthcare systems using the hyperlink-based inference approach and, as an example, implements a Web-enabled healthcare system for hypertension, a platform which peformed especially well in the areas of speed and stability.

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A Method to Resolve the Cold Start Problem and Mesa Effect Using Humanoid Robots in E-Learning (휴머노이드 로봇을 활용한 이러닝 시스템에서 Mesa Effect와 Cold Start Problem 해소 방안)

  • Kim, Eunji;Park, Philip;Kwon, Ohbyung
    • The Journal of Korea Robotics Society
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    • v.10 no.2
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    • pp.90-95
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    • 2015
  • The main goal of e-learning systems is just-in-time knowledge acquisition. Rule-based e-learning systems, however, suffer from the mesa effect and the cold start problem, which both result in low user acceptance. E-learning systems suffer a further drawback in rendering the implementation of a natural interface in humanoids difficult. To address these concerns, even exceptional questions of the learner must be answerable. This paper aims to propose a method that can understand the learner's verbal cues and then intelligently explore additional domains of knowledge based on crowd data sources such as Wikipedia and social media, ultimately allowing for better answers in real-time. A prototype system was implemented using the NAO platform.

A Study on the Standardization of Categorizing and Sub-categorizing Railway Information in Web-based Information Provision Service (웹기반 철도지식정보 분류체계 수립에 관한 연구)

  • Yang, Hoe-Sung;Lee, Sang-Ho;Choi, Si-Haeng;Park, Yong-Gul
    • Proceedings of the KSR Conference
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    • 2009.05a
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    • pp.581-588
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    • 2009
  • With the development of IT industry and formation of web-based knowledge sharing platform, a variety of railway-related information services on the web have emerged, ranging from personal blogs to dedicated portal sites, as in the other sectors. These services are contributing to advancing railway industry after all. As far as it is concerned with specific areas such as railway sector, the internet users are hardly expected to avail satisfactory results in acquiring customized information from the access, as the information served varies on the intension of the web site operator or relevant agency, and indexing categories and sub-categories is not easy to work out in a straight manner. This study will review on the feasibility of standardizing categories and sub-categories for railway industry information on the web, and present optimum categorization and sub-categorization approach for the most satisfactory results when searched, ultimately aiming at laying a foundation to satisfy the wide spectrum of users' need for railway information.

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ShareSafe: An Improved Version of SecGraph

  • Tang, Kaiyu;Han, Meng;Gu, Qinchen;Zhou, Anni;Beyah, Raheem;Ji, Shouling
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.11
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    • pp.5731-5754
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    • 2019
  • In this paper, we redesign, implement, and evaluate ShareSafe (Based on SecGraph), an open-source secure graph data sharing/publishing platform. Within ShareSafe, we propose De-anonymization Quantification Module and Recommendation Module. Besides, we model the attackers' background knowledge and evaluate the relation between graph data privacy and the structure of the graph. To the best of our knowledge, ShareSafe is the first platform that enables users to perform data perturbation, utility evaluation, De-A evaluation, and Privacy Quantification. Leveraging ShareSafe, we conduct a more comprehensive and advanced utility and privacy evaluation. The results demonstrate that (1) The risk of privacy leakage of anonymized graph increases with the attackers' background knowledge. (2) For a successful de-anonymization attack, the seed mapping, even relatively small, plays a much more important role than the auxiliary graph. (3) The structure of graph has a fundamental and significant effect on the utility and privacy of the graph. (4) There is no optimal anonymization/de-anonymization algorithm. For different environment, the performance of each algorithm varies from each other.