• Title/Summary/Keyword: Users Movement

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Development of Educational 6-axis Articulated Manipulator Using 4-bar Linkage (4-bar Linkage를 이용한 교육용 6축 수직 다관절 로봇 개발)

  • 김대영;김성현;박정미;정원지
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2002.05a
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    • pp.524-527
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    • 2002
  • This paper is on the development of an educational 6-axis articulated manipulator using 4-bar linkage system. Especially, the 2$^{nd}$ and the 3$^{rd}$ axes need large torque to control the movement of an end-effect. However, small motors (RC-servo, DC-gear, stepping meters) are used for the 4-bar linkage. In addition the manipulator can be operated by a switch and also motion can be realized automatically, based on C-language coded users programs..

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Human-Computer Natur al User Inter face Based on Hand Motion Detection and Tracking

  • Xu, Wenkai;Lee, Eung-Joo
    • Journal of Korea Multimedia Society
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    • v.15 no.4
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    • pp.501-507
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    • 2012
  • Human body motion is a non-verbal part for interaction or movement that can be used to involves real world and virtual world. In this paper, we explain a study on natural user interface (NUI) in human hand motion recognition using RGB color information and depth information by Kinect camera from Microsoft Corporation. To achieve the goal, hand tracking and gesture recognition have no major dependencies of the work environment, lighting or users' skin color, libraries of particular use for natural interaction and Kinect device, which serves to provide RGB images of the environment and the depth map of the scene were used. An improved Camshift tracking algorithm is used to tracking hand motion, the experimental results show out it has better performance than Camshift algorithm, and it has higher stability and accuracy as well.

U-Blogging의 개념 및 프레임워크

  • Gwon, O-Byeong;Lee, Nam-Yeon;Choe, Yun-Hyeong
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2007.05a
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    • pp.138-144
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    • 2007
  • Nowadays blogging is emerging as a new way of making a human-to-human relationship by offering personal information and opinion to others or by receiving any responses from them. The blogging activity would be also useful when they are in a movement surrounding lots of objects which are potentially interesting to them. However, immediate response from the objects is not available using legacy blogging systems. This paper, hence, aims to propose a methodology which allows the users to communicate with the objects to get useful information or get served immediately. Our approach is to let the objects act as bloggers, having their own blogs and communicating with each other and even with human.

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REBUILDING RAIL INFRASTRUCTURE IN NIGERIA: POLICY, PROBLEMS AND PROSPECTS

  • Oyefuga, Ben;Egbetokun, Abiodun
    • Proceedings of the KSR Conference
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    • 2007.11a
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    • pp.1883-1895
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    • 2007
  • With a land area of 910,768 sq. km, population estimate of 150 million people and GDP-growth rate of 6.9% per annum (2006 est), the centrality of effective public transportation in Nigeria is readily seen. In this regard, rail transportation offers much potential because of its relative safety, reliability, lower cost to the users and being singularly capable of transforming the national economy through mass movement of people, goods and services. Within this context, the demand for an effective railway system, and the enormous potentials for profitable investment in rail infrastructure in Nigeria, is indisputable. Beginning with the history, the paper discusses the main problems of Nigeria's railway transport system; and then makes policy suggestions, after considering the potentials of rebuilding the rail infrastructure. The necessity of this work is premised on the fact that there is a significant gap in critical knowledge about Nigeria's railway transport system.

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Investment Strategies for KOSPI Index Using Big Data Trends of Financial Market (금융시장의 빅데이터 트렌드를 이용한 주가지수 투자 전략)

  • Shin, Hyun Joon;Ra, Hyunwoo
    • Korean Management Science Review
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    • v.32 no.3
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    • pp.91-103
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    • 2015
  • This study recognizes that there is a correlation between the movement of the financial market and the sentimental changes of the public participating directly or indirectly in the market, and applies the relationship to investment strategies for stock market. The concerns that market participants have about the economy can be transformed to the search terms that internet users query on search engines, and search volume of a specific term over time can be understood as the economic trend of big data. Under the hypothesis that the time when the economic concerns start increasing precedes the decline in the stock market price and vice versa, this study proposes three investment strategies using casuality between price of domestic stock market and search volume from Naver trends, and verifies the hypothesis. The computational results illustrate the potential that combining extensive behavioral data sets offers for a better understanding of collective human behavior in domestic stock market.

The forecast of curve shape reforming by variation of B-spline knot vector values (B-스플라인 노트백터 값 변화에 의한 곡선 형상 변화 예측)

  • 김희중;정재현
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1994.10a
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    • pp.866-871
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    • 1994
  • B-spline curves and surfaces are effective solutions for design and modelling of the freeform models. The control methods of these are using with control points, knot vectors and weight of NURBS. Using control point is easy and resonable for representation of general models. But the movement of control points bring out the reformation of original convex hull. The B-splines with nonuniform knot vector provide good result of the shape modification without convex hull reforming. B-splines are constructed with control points and basis functions. Nonuniform knot vectors effect on the basis functions. And the blending curves describe the prorities of knot vectors. Applying of these, users will forecast of the reformed curves after modifying controllabler primitives.

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Multi-Label Classification Approach to Location Prediction

  • Lee, Min Sung
    • Journal of the Korea Society of Computer and Information
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    • v.22 no.10
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    • pp.121-128
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    • 2017
  • In this paper, we propose a multi-label classification method in which multi-label classification estimation techniques are applied to resolving location prediction problem. Most of previous studies related to location prediction have focused on the use of single-label classification by using contextual information such as user's movement paths, demographic information, etc. However, in this paper, we focused on the case where users are free to visit multiple locations, forcing decision-makers to use multi-labeled dataset. By using 2373 contextual dataset which was compiled from college students, we have obtained the best results with classifiers such as bagging, random subspace, and decision tree with the multi-label classification estimation methods like binary relevance(BR), binary pairwise classification (PW).

Equipment Management Information System Using Wireless Application Protocol (Wireless Application Protocol을 이용한 기자재 관리 정보시스템)

  • 임영문;최영두;김홍기
    • Journal of the Korea Safety Management & Science
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    • v.2 no.3
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    • pp.129-140
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    • 2000
  • Nowadays the role of information systems is getting more and more increased according to the development of information technology. In order to manage complex, various and huge data, it is vital to construct efficient information system. For this effective information system, data have properly to be stored, encoded and represented when needed. This paper presents equipment management information system using wireless application protocol. This system enables us to have remote control of data searching and data management. Also, through the technique of data mining, database resulted from this system can be utilized into expectation and analysis about life-cycle, characteristic, and failure time of equipment, pattern recognition of users, and state of movement, etc.

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Big Data Technology Trends and Analysis (빅 데이터 기술 동향 및 분석)

  • Shin, Hwa-Young;Park, Kyeong-Soo;Moon, Il-Young
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.953-954
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    • 2013
  • Smartphone, Tablet PC users increases rapidly, the amount of data is an increasing number and their characteristics vary. Big Data field to collect vast amounts of data such that create new value by analyzing has attracted attention. In recent years, big data technology to use for marketing and product planning movement is growing. In this paper, we would like to analyze the trends of big data.

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15 Park Row New York City - 120 Years Later, Still Relevant in Contextualism and Sustainability

  • Karahan, Beyhan
    • International Journal of High-Rise Buildings
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    • v.9 no.1
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    • pp.61-70
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    • 2020
  • After the 1884 Home Insurance building in Chicago and 1889 Tower building in New York, 15 Park Row became the tallest building in the USA in 1899 and it held this record for nine years. Completed just before the arrival of the 20th century, this building deserves to be recognized for the sophistication of its architecture with respect to contextual understanding of the 19th century historic texture in Lower Manhattan, its uniquely economical floor plans, and its use of natural ventilation and daylight. The compositional techniques using the proportional analysis of its context reflect the highest level of architectural education of its time by its architect Robert H. Robinson. In addition, it also offers a unique glimpse to the state-of-the-art technology of its time regarding its structure, its use of movement systems that was capable of serving 4000 users.