• Title/Summary/Keyword: 자동화 기술

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Research of Electric Pilotage Service using Intelligence Aids to Navigation System (인공지능 항로표지 시스템을 이용한 전자도선 서비스에 관한 연구)

  • GANG, Yongsoo;JEONG, Haesang;KIM, Jeong-Rok;GUG, Seung-Gi
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2019.11a
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    • pp.107-108
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    • 2019
  • In the past, regional pilot service is provided by individual pilots directly on board each ship, but it will be difficult to provide this type of service in the near future when autonomous vessels are activated. This can be seen as the need for automation and intelligence of pilot service and provision of remote control system. In this paper, we propose a method, system, and service target that can carry out the electronic pilot service through the intelligence aids to navigation for smart port operation.

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Development of Intelligent IoT Exhaustion System for Bag Filter Collector (백필터 집진기의 지능형 IoT 탈진 시스템 개발)

  • Jang, Sung-Cheol;Lee, Jung-Won
    • Journal of Internet of Things and Convergence
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    • v.5 no.1
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    • pp.29-34
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    • 2019
  • A bag filter collector is a kind of air purifier that organizes several or dozens of filters to purify fine dust and release clean air into the atmosphere. If the bag filter length is less than 5m, the dust and fume attached to the bag filter could be effectively removed by passing the compressed air generated by the diaphragm valve through the venturi. Injectors that are more efficient and economical are urgently needed to achieve satisfactory results for long-bag exhaustion of more than 7 meters. In the case of existing domestic and foreign injectors, a number of blow tubes were dismantled during maintenance, and the injector and blow tube were combined to pose a number of problems, including inconvenience of work due to weight increase. In this study, injector flow for the development of the best use of interpretation of the coanda effect and the fourth round of industrial technology Intelligent automation of exhaustion, have been engineered energy than standard equipment. lowering costs and filter life to radically improve the commercial studies.

Automatic Construction of a Negative/positive Corpus and Emotional Classification using the Internet Emotional Sign (인터넷 감정기호를 이용한 긍정/부정 말뭉치 구축 및 감정분류 자동화)

  • Jang, Kyoungae;Park, Sanghyun;Kim, Woo-Je
    • Journal of KIISE
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    • v.42 no.4
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    • pp.512-521
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    • 2015
  • Internet users purchase goods on the Internet and express their positive or negative emotions of the goods in product reviews. Analysis of the product reviews become critical data to both potential consumers and to the decision making of enterprises. Therefore, the importance of opinion mining techniques which derive opinions by analyzing meaningful data from large numbers of Internet reviews. Existing studies were mostly based on comments written in English, yet analysis in Korean has not actively been done. Unlike English, Korean has characteristics of complex adjectives and suffixes. Existing studies did not consider the characteristics of the Internet language. This study proposes an emotional classification method which increases the accuracy of emotional classification by analyzing the characteristics of the Internet language connoting feelings. We can classify positive and negative comments about products automatically using the Internet emoticon. Also we can check the validity of the proposed algorithm through the result of high precision, recall and coverage for the evaluation of this method.

Hard Handover Algorithm for Self Optimization in 3GPP LTE System (3GPP LTE 시스템에서 기지국 구성 자동 설정 동작을 위한 하드 핸드오버 알고리즘)

  • Lee, Doo-Won;Hyun, Kwang-Min;Kim, Dong-Hoi
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.3A
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    • pp.217-224
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    • 2010
  • In this paper, we propose a hard handover algorithm for a base station's self-optimization, one of the automatic operational technologies for the 3GPP LTE systems. The proposed algorithm simultaneously considers a mixed target sell selection method for optimal selection and a multiple parameter based active hysteresis method with the received signal strength from adjacent cells and the cell load information of the candidate target cells from information exchanges between eNBs through X2 interface. The active hysteresis method chooses optimal handover hysteresis value considering the costs of the various environmental parameters effect to handover performance. The algorithm works on the optimal target cell and the hysteresis value selections for a base station's automatic operational optimization of the LTE system with the gathered informaton effects to the handover performance. The simulation results show distinguished handover performances in terms of the most important performance indexes of handover, handover failure rate and load balancing.

Development of An Expert system with Knowledge Learning Capability for Service Restoration of Automated Distribution Substation (고도화된 자동화 변전소의 사고복구 지원을 위한 지식학습능력을 가지는 전문가 시스템의 개발)

  • Ko Yun-Seok;Kang Tae-Gue
    • The Transactions of the Korean Institute of Electrical Engineers A
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    • v.53 no.12
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    • pp.637-644
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    • 2004
  • This paper proposes an expert system with the knowledge learning capability which can enhance the safety and effectiveness of substation operation in the automated substation as well as existing substation by inferring multiple events such as main transformer fault, busbar fault and main transformer work schedule under multiple inference mode and multiple objective mode and by considering totally the switch status and the main transformer operating constraints. Especially inference mode includes the local minimum tree search method and pattern recognition method to enhance the performance of real-time bus reconfiguration strategy. The inference engine of the expert system consists of intuitive inferencing part and logical inferencing part. The intuitive inferencing part offers the control strategy corresponding to the event which is most similar to the real event by searching based on a minimum distance classification method of pattern recognition methods. On the other hand, logical inferencing part makes real-time control strategy using real-time mode(best-first search method) when the intuitive inferencing is failed. Also, it builds up a knowledge base or appends a new knowledge to the knowledge base using pattern learning function. The expert system has main transformer fault, main transformer maintenance work and bus fault processing function. It is implemented as computer language, Visual C++ which has a dynamic programming function for implementing of inference engine and a MFC function for implementing of MMI. Finally, it's accuracy and effectiveness is proved by several event simulation works for a typical substation.

A Design of Transportation Management System Using Smartphones (스마트폰을 사용한 수배송 차량 관제 시스템의 설계)

  • Kim, Min-Su;Oh, Joon-Whan;Lee, Young-Jun;Chae, Jin-Seok
    • Proceedings of the Korean Information Science Society Conference
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    • 2010.06d
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    • pp.212-216
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    • 2010
  • 오늘날 세계화와 정보통신 분야의 기술혁신으로 기업들의 경영활동 영역이 점점 글로벌화 되어가면서 물류산업의 환경도 급격히 변화해 나가고 있다. 세계적으로 확산되고 있는 인터넷망이나 물류망은 시간과 거리의 제약을 완화시켰으며, 고객들의 정보와 상품에 대한 접근이 쉬워짐에 따라 기업에 대한 고객욕구가 다양해지고 있는 실정이다. 이러한 경영환경의 변화에 따라 우리 기업들은 보다 경쟁력 있는 물류서비스를 고객에게 제공하기 위하여 물류 서비스의 유연성 개선, 물류 전문 인력 확보 등에 힘쓰는 한편 물류 부문의 취약성을 극복하기 위한 물류자동화 시스템 도입 등 다양한 방안을 강구하고 있다. 현재 도입된 수배송 관제 시스템은 GPS를 기반으로 하고 있다. 그러나 기존의 GPS를 이용한 관제 시스템은 위치 정보만 수신하여 위성의 사각지역 또는 실내에서 작동이 잘 되지 않는 문제가 있다. 이러한 문제를 해결하기위해 본 논문에서는 스마트폰을 사용한 수배송 관제 시스템을 설계하였다. 스마트폰은 GPS와 3G통신 모두 이용하여 양방향으로 통신할 수 있으므로 기존의 GPS를 이용한 단방향 수배송 관제 시스템보다 정보를 정확하고 효율적으로 관제할 수 있다. 제안하는 시스템은 물류 수배송 상에서 발생되는 데이터를 실시간 모니터링이 가능해야하며, 관리자와 수배송자간의 신속한 정보 전달을 통해 배송조건을 최적화시키고, 물류의 흐름을 제어하여 배송 시에 발생하는 문제에 대한 신속한 해결을 통해서 배송시간을 최소화하는 것이 목적이다.

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Development of Self-Consumption Smart Home System (에너지 자립형 스마트 홈 시스템 개발)

  • Lee, Sanghak
    • Journal of Satellite, Information and Communications
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    • v.11 no.2
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    • pp.42-47
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    • 2016
  • Due to advances such as photovoltaic power generation and energy storage system, energy self-consumption smart home system in which energy management system is built and energy is generated in house has been actively researched. In particular, due to the instability of the grid after the Fukushima nuclear accident, home system in which generating electricity from photovoltaic, storing and using it in energy storage system was commercialized in Japan. While subsidizing renewable energy projects through a combination of solar and energy storage systems in North America and Europe has expanded home installation. In this paper, we describe development of self-consumption smart home system which is connecting photovoltaic system and energy storage system in home area network and operating it based on real-time price. We implemented automated self-consumption home in which optimizing the use of energy from the power grid with minimal user's intervention.

Studies on Automatization of Dairy Cattle Farming II. Automatic System for Detection of Diseased Cattle by Taking Body Temperature (젖소 사양기술의 자동화를 위한 연구 II. 체온 측정 방법을 통한 질병자동 진단 시스템)

  • 김용준;유일정;정길도;한병성;김동원;김명순
    • Journal of Veterinary Clinics
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    • v.15 no.2
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    • pp.450-454
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    • 1998
  • These studies were performed to find out the possibility of automatic detection of the diseased animal with fever by farmers themselves. Firstly, the body temperature of 331 dairy cows was investigated according to major disease symptoms manifested. Secondly, AD 590 thermometer was used to take the teat temperature of the milking cows to determine the possibility of automatic taking of body temperature while milking. The temperatures of scapha of ear and coccygeal artery part were also taken fur the non-milking dairy cows and Korean native cowl 1. The average body temperature of dairy cows associated with respiratory diseases puerperal disease, or mastitis was higher than normal temperature denoting respectively 39.8,39.6, and $39.3{\circ}C.2.$ The teat temperaure of the milking dairy cows with fever($39.5~39.6{\circ}C$) and the cows with mastitis was respectively 1.02 and 0.56${\circ}C$ higher than that of normal cows. 3. The average teat temperature taken by AD 590 was 33.91, 34.93, and 34.50${\circ}C$ in normal milking dairy cows, cows with fever(39.5~39.6${\circ}C$), and cows with mastitis, respectively. 4. The mean temperatures at scapha and coccygeal part of non-milking dairy cows and Korean native cows were 35.62 and 36.63${\circ}C$, respectively. It was concluded that AD 590 thermometer would be usable for the farmers to automatirally detect the body temperature of dairy cows while milking and subsquently to find the diseased cow with fever and that the scapha of ear and coccygeal artery part of the cattle could be the body parts of simply detecting body temperature of non-milking cattle.

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New calibration apparatus for a precise barometer (초정밀 기압계 교정을 위한 새로운 압력계 교정장치 개발)

  • 우삼용;이용재;최인묵;김부식;최종운
    • Journal of the Korean Vacuum Society
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    • v.12 no.3
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    • pp.157-161
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    • 2003
  • Nowadays there are increasing demands for more accurate measurement of atmospheric pressure according to the development of environmental industries. One of the most important pressure gauges for satisfying these demands is a quartz resonance barometer. In order to calibrate such an accurate barometer, laser/ultrasonic mercury manometers have been used. However, complexity and cost of mercury manometers made it out of use gradually. As a substitute, a gas-operated pressure balance is used for calibration of precise barometers. In such a case, commercially available pressure balances cannot be entirely suitable because consequent exposure of the piston, cylinder and masses to the atmosphere causes the problem of contamination. In this paper a device for changing the masses in situ without breaking the vacuum is described. This device made it possible to add or remove weights in the absolute mode, thereby greatly reducing the time between observations. At the same time, we investigated the characteristics of a commercial precise barometer using this new apparatus.

Study On development of Intelligent spot weld machine (지능형 스폿 용접기 개발에 관한 연구)

  • Lee, Hui-Jun;Rhee, Se-Hun
    • Proceedings of the KWS Conference
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    • 2009.11a
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    • pp.20-20
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    • 2009
  • 저항 점 용접은 1930년대에 Thomson에 의해 방법이 제안된 이후로 자동차, 전자, 항공기, 철도산업등에서 박판 금속(sheet metal)의 접합에 가장 널리 사용되고 있는 공정이다. 특히 자동차 차체와 같이 대부분 박판으로 구성되는 구조물에서는 저항 점 용접의 사용 범위가 매우 넓기 때문에 자동차 산업에서는 가장 기본적인 근본 기술 중의 하나로 인식되고 있다. 보통 자동차 한대를 생산하는데 소요되는 저항 점 용접 타점은 3000~4000개 정도로 자동차 차체 용접 공정의 대부분을 차지하고 있다. 또한 로봇과 연동된 자동화 공정으로 적용되고 있다. 최근의 자동차 차체를 구성하는 금속 재료가 자동차의 경량화, 친화경 소재의 사용자의 요구로 인해 새로운 강판이 사용된다. 자동차의 연비 향상을 위해서 다른 방법보다 자동차의 무게를 감소시키는 것이 가장 효율적이고, 쉽기 때문에 고장력 강판의 사용이 급속하게 증가하고 있다. 뿐만 아니라 차제의 부식성, 내마모성 향상을 위해 도금 처리된 강판의 사용도 활발하게 이루어지고 있다. 최근에 도장 공정 감소를 위해 도금 처리위에 도료 착색을 용이하게 하는 도료의 일부를 금속 표면에 처리된 강판의 개발도 진행되는 등 금속 소재의 변화가 다양하게 진행되고 있다. 이러한 새로운 강종은 기존의 AC 용접이나 DC 용접으로는 용접성 확보에 어려움을 가지고 있어, 새로운 저항 점 용접 공정의 연구 개발이 필요하다. 본 연구에서는 저항 점 용접 공정의 개선을 위해서 인버터 저항 점 용접기에서 용접 공정 중 전류를 제어하기 위한 효율적인 제어기 개발 방법과 개발된 제어기를 바탕으로 용접 중에 용접부의 품질을 예측하여, 용접 전류 및 가압력을 실시간 제어하여 안정적인 용접부의 품질을 갖질 수 있는 지능형 저항 점 용접기의 적응 제어기를 개발하는데 있다.

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