• 제목/요약/키워드: Crawl

검색결과 55건 처리시간 0.024초

Neural Network를 이용한 PDR 시스템의 정확도 향상 기법 (Advanced Scheme for PDR system Using Neural Network)

  • 곽휘권
    • 한국산학기술학회논문지
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    • 제15권8호
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    • pp.5219-5226
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    • 2014
  • 본 논문에서는 확률신경망 이론을 적용하여 GPS 단절구간에서 보행자의 위치정보의 정확도를 향상시키는 기법을 제안한다. 일반적인 보행 외 옆으로 걷기, 오리걸기, 기어가기 등 여러 보행 형태에 대한 보행 패턴을 학습하고 이에 대한 이동거리를 구하여 관성항법의 적분오차를 최소화하도록 한다. 제안 시스템은 보행자가 휴대할 수 있는 소형/경량화/저전력 설계된 H/W 모듈 형태로 구현을 하였으며, 건물 내에서의 보행자 이동 실험을 통해 제안 시스템의 성능을 검증하였다.

Development of technology to improve information accessibility of information vulnerable class using crawling & clipping

  • Jeong, Seong-Bae;Kim, Kyung-Shin
    • 한국컴퓨터정보학회논문지
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    • 제23권2호
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    • pp.99-107
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    • 2018
  • This study started from the public interest purpose to help accessibility for the information acquisition of the vulnerable groups due to visual difficulties such as the elderly and the visually impaired. In this study, the server resources are minimized and implemented in most of the user smart phones. In addition, we implement a method to gather necessary information by collecting only pattern information by utilizing crawl & clipping without having to visit the site of the information of the various sites having the data necessary for the user, and to have it in the server. Especially, we applied the TTS(Text-To-Speech) service composed of smart phone apps and tried to develop a unified customized information collection service based on voice-based information collection method.

4절 링크를 활용한 소형 6족 보행 로봇 (Milli-Scale Hexapedal Robot using 4-bar Linkages)

  • 차은엽;정광필
    • 한국기계기술학회지
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    • 제20권6호
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    • pp.912-916
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    • 2018
  • Crawling robots are advantageous in overcoming obstacles. These robots have characteristics such as light weight and outstanding mobility. In case of large robots, they have difficulties passing narrow gaps or entering the cave. In this paper, we propose a milli-scale hexapedal robot using 4-bar linkages. Two conditions are necessary to enable efficient walking. In short, the trajectory of the foot must be elliptical, and the lowest point of the foot should be the same. These conditions are satisfied with a novel leg design. The robot has a pair of three legs and the legs are coupled to operate simultaneously. Each set of the legs are installed to robot's both sides and the legs satisfy the equal lowest foot point and elliptical trajectory. As a result, this hexapedal robot can crawl with 0.56m/s speed.

웹 크롤러를 위한 효율적인 URL 우선순위 할당 기법 (Efficient URL Prioritizing Method for Web Crawlers )

  • ;하종우;조윤호;이상근
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2008년도 추계학술발표대회
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    • pp.383-385
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    • 2008
  • With the amazing growth of web faster important page crawlers poses great challenge. In this research we proposed fractional PageRank, a variation of PageRank computed during crawl that can able to prioritize the downloading order. Experimental results shows that it outperforms the prior crawler in terms of running time yet provide a well download ordering.

4족 보행 로봇의 에너지효율에 관한 연구 (A Study on Energy Efficiency of Quadruped Walking Robot)

  • 안병원;배철오;박영산;박중순;이성근
    • 한국정보통신학회:학술대회논문집
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    • 한국해양정보통신학회 2003년도 춘계종합학술대회
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    • pp.309-312
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    • 2003
  • 다리를 가진 로봇은 지형에 대한 높은 적응능력을 가졌다할지라도 바퀴의 차량과 비교했을 때 일반적으로 그 속도가 상당히 낮다. 다리를 가진 로봇으로 빨리 움직이는 속도를 얻기 위해서는 두발 로봇의 달림과 4족 로봇의 속보나 뛰는 것과 같이 동적으로 안정한 걸음걸이가 좋은 해결법이다. 그러나 동적으로 안정한 걸음걸이의 에너지 효율은 일반적으로 느린 걸음걸이와 같은 안정한 걸음걸이보다 낮다. 본 논문에서는 네발로 걷는 로봇의 에너지 효율에 관한 실험적 연구를 보여준다. 빠른 걸음걸이의 2가지 패턴의 에너지 소모에 대한 TITAN-VIII을 이용한 실험을 통해 연구하였다.

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지하자원 채굴용 로봇의 연구 (A study on the robot for mining of underground resources)

  • 노종호;신석신;박종호
    • Journal of Advanced Marine Engineering and Technology
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    • 제37권4호
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    • pp.399-403
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    • 2013
  • 지하자원 채굴을 위한 갱도나 협소하고 위험한 공간에서 사람을 대신하여 채굴작업을 수행하는 로봇의 수요가 증가되고 있다. 본 연구에서는 원격 제어형 로봇 및 작업기구를 개발하여 석탄광산에서 원활한 채굴작업을 수행가능한지를 시험 갱도에서 확인하였다. 시험한 결과 개발된 로봇은 주행속도 1.0 km/h, 등판가능 경사도 $10^{\circ}$ 정도임을 확인하였다. 협소한 공간에서 분쇄기의 타격회수 500bpm, 타격력 $30kg_f-m$을 유지해야만 터널에서의 채굴작업이 가능하고, 최대 3시간까지 작업을 수행하기 위해서는 터널 내부의 환경조건을 분석하여 로봇을 충분히 냉각시키는 냉각시스템이 필요함을 알 수 있었다.

Twitter Crawling System

  • Ganiev, Saydiolim;Nasridinov, Aziz;Byun, Jeong-Yong
    • Journal of Multimedia Information System
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    • 제2권3호
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    • pp.287-294
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    • 2015
  • We are living in epoch of information when Internet touches all aspects of our lives. Therefore, it provides a plenty of services each of which benefits people in different ways. Electronic Mail (E-mail), File Transfer Protocol (FTP), Voice/Video Communication, Search Engines are bright examples of Internet services. Between them Social Network Services (SNS) continuously gain its popularity over the past years. Most popular SNSs like Facebook, Weibo and Twitter generate millions of data every minute. Twitter is one of SNS which allows its users post short instant messages. They, 100 million, posted 340 million tweets per day (2012)[1]. Often big amount of data contains lots of noisy data which can be defined as uninteresting and unclassifiable data. However, researchers can take advantage of such huge information in order to analyze and extract meaningful and interesting features. The way to collect SNS data as well as tweets is handled by crawlers. Twitter crawler has recently emerged as a great tool to crawl Twitter data as well as tweets. In this project, we develop Twitter Crawler system which enables us to extract Twitter data. We implemented our system in Java language along with MySQL. We use Twitter4J which is a java library for communicating with Twitter API. The application, first, connects to Twitter API, then retrieves tweets, and stores them into database. We also develop crawling strategies to efficiently extract tweets in terms of time and amount.

Structuring of Unstructured SNS Messages on Rail Services using Deep Learning Techniques

  • Park, JinGyu;Kim, HwaYeon;Kim, Hyoung-Geun;Ahn, Tae-Ki;Yi, Hyunbean
    • 한국컴퓨터정보학회논문지
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    • 제23권7호
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    • pp.19-26
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    • 2018
  • This paper presents a structuring process of unstructured social network service (SNS) messages on rail services. We crawl messages about rail services posted on SNS and extract keywords indicating date and time, rail operating company, station name, direction, and rail service types from each message. Among them, the rail service types are classified by machine learning according to predefined rail service types, and the rest are extracted by regular expressions. Words are converted into vector representations using Word2Vec and a conventional Convolutional Neural Network (CNN) is used for training and classification. For performance measurement, our experimental results show a comparison with a TF-IDF and Support Vector Machine (SVM) approach. This structured information in the database and can be easily used for services for railway users.

Development portable hair removal applies PET ($Pause^{10-90}$ and $Energy^{20-40}$ $Trigger^{1-7}$) function

  • Kim, Whi-Young
    • Journal of information and communication convergence engineering
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    • 제7권2호
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    • pp.223-230
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    • 2009
  • For pulse trigger way and the energy injection rate according to PET ($Pause^{10-90}$ $Energy^{20-40}$ $Trigger^{1-7}$) function, indeed, human body condition, period of dormancy in this research about this back correctly adjustment possible and designed harmless micro carrying along style hair exclusion so that can design and manufacture and run special quality examination and Xenon flash lamp to crawl in human body. Because creating individual's skin model to do stable treatment by light transmission way by skin impedance and measure, must embody treatment special quality of most suitable that draw skin color, energy, wave length, approximately, transmission time, pulse delay etc. and want. Specially, saved standard of war treatment pulse modeling by skin impedance, and manufacture pulse modeling system of most suitable by skin subordinate, and embody suitable treatment pulse. Specially, embody as could do root of a hair exclusion being emitted in pulse form using multi wave length of 560nm, 590nm, 640nm, 755nm and embodied clinical data. If become research repletion furthermore little more, is seen that can approximate in commercialization.

화력발전소 보일러 튜브 및 대형 유체수송관 자동 진단을 위한 이동로봇 시스템 개발 (Development of Mobile Robot Systems for Automatic Diagnosis of Boiler Tubes in Fossil Power Plants and Large Size Pipelines)

  • 박상덕;정희돈;임종수
    • 비파괴검사학회지
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    • 제22권3호
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    • pp.254-260
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    • 2002
  • 화력발전소 보일러 튜브 및 대형 유체수송관의 자동 진단을 위해 비파괴검사 방법을 사용하는 두 가지 형태의 이동로봇을 개발하였다. 개발된 이동로봇은 보일러 튜브 또는 유체수송관의 외면을 주행하면서 전자기 초음파 탐촉자를 이용하여 파이프 벽면에 발생하는 미세한 구멍, 균열 또는 부식 및 침식에 의한 감육 등과 같은 결함을 검출한다. 이와 같은 이동로봇을 이용한 결합 검출의 자동화는 열악한 환경에서 작업자의 위험 없이 대형 구조물의 중대한 결함을 방지하는 유용한 수단으로 활용될 수 있다.