• Title/Summary/Keyword: 지능형 신호 제어

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Transmission Control Method of Beacon Signal Based on Bluetooth of Lower Electric Power (저 전력 블루투스 기반 비콘 신호 전송 제어 방법)

  • Oh, Am-suk
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.20 no.6
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    • pp.1136-1141
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    • 2016
  • IoT technology has been used as a core technology of convergence service that needs intelligent information processing, and the importance is largely emerging now. And internal network construction thru IoT interaction device can connect with IoT device effectively, provide diverse services by connection with open platform. Especially, beacon that is based on low electric power bluetooth device is receiving attention as one of core technology of IoT. Beacon technology is utilized widly in various fields of industry, and there are lot of demands in the specific environment and conditions beyond the basic function. On this thesis, the authors are proposing the beacon device that utilized acceleration sensor and hole sensor. this beacon device can control the target on specific situation thru sensing of moving target. For the more, we will expect to apply to the various type of factory environments like detachable installation, optimized management using sensor.

The Embody of the Direction Escape Algorithm for Optimization Escape (최적 비상대피로 유도를 위한 방향성 유도 알고리즘 구현)

  • Lee, Ki-Yeon;Kim, Dong-Ook;Kim, Dong-Woo;Mun, Hyun-Wook;Gil, Hyung-Jun;Kim, Hyang-Kon
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.23 no.10
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    • pp.115-120
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    • 2009
  • In this parer, we design the artificial intelligent direction escape light control system to improve/complete the defects of the existing fire fighting system, and sketch an optimum escape guide algorithm for its implementation. It intends to minimize human casualties and injuries by calculating/predicting moving line of the optimum emergency escape, by means of interlocking the sensor and the reception group and analyzing the data of the combustion point and the smoke movement. The optimum escape algorithm is designed by FLOYD algorithm which calculates the shortest distance. It consists of the measuring method which calculates the shortest distance by using hazardous factors for each condition in danger which is judged by the sensor installed in each area.

A Virtual 3D Interface System for the Remote Control of Robot Agent (로봇 에이전트의 원격 제어를 위한 가상 3D 인터페이스 시스템)

  • 안현식
    • Journal of the Institute of Convergence Signal Processing
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    • v.2 no.4
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    • pp.85-90
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    • 2001
  • Recently there are lots of concerning on robot agent system working for itself with the trends of the research of bio-mimetic system and intelligent Therefore it is necessary to develop more humanized interface system from communicating with the robot agent. In this paper a virtual 3D interface system is proposed based on Internet for remote controlling and monitoring of robot agent. The proposed system is constructed as manager-agent model and a man can order a job at the 3D virtual interface environment of the manager located remotely Then the robot agent detects a 3D profile data from a range finder automatically and the robot moves the object to the new position in real space. The proposed system supports a advanced interface displaying virtual 3D graphics and real moving images and which makes it possible one to manage the robot agent more conveniently.

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The Implementation on the Traffic Signal Control Equipment of Intelligence Type Using the PLC (PLC를 사용한 지능형 교통 신호 제어 설비 구현)

  • 김태성;위성동
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.11 no.1
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    • pp.74-81
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    • 1998
  • It is not good joint that today's traffic control system that the course of traffic volume increase tendency is followed, in the traffic volume is approched into the time of my car. Accordingly when we analyzed the existing traffic signal control system, the traffic signal system is developed from the machine type that the motor was centered, to get up to date, to the intelligence electron signal control system. But yet, when we have a test and a A/S on the control circuit, the circuit that is designed to the center IC and ROM are complicated. Also, the time of pass lamp that the car line stream is going, can not extended automatically a time till the traffic volume is decreased to the same direction. This theme must be a real time intelligence control system that the time of pass lamp can extend aumatically. The circuit of sequence ladder diagram on the traffic signal control of a crossroads that is desinged, can be satisfied the complicated vehicle order. Therefore when the circuit is changed, the new developed system is economical with that dosen't needs any of components to require the circuit equipment, and the time is saved with needlessness of the circuit wiring again, and have a much trustworthy. The control method of pass signal lamp in the car line stream connecting among PLC and Relay and Temp Sensor, can be changed to hand operation and to semi-automation and to all-automation. New intelligence traffic signal system is composed with all-together system of T Sensor + Video Camera + IBM PC that is able to guiding the establishment of traffic order.

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Stabilizing Inverted Pendulum System Using Fuzzy Controller Based on State Variables Combination (상태변수 조합 퍼지 제어기를 이용한 도립진자 시스템의 안정화)

  • Lee, Yun-Hyung;Kim, Jong-Phil;Jin, Gang-Gyoo;So, Myung-Ok
    • Journal of Advanced Marine Engineering and Technology
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    • v.36 no.8
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    • pp.1104-1110
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    • 2012
  • The inverted pendulum system is a common, interesting control problem that involves many basic elements of control theory. In the early, controls of stabilization for the inverted pendulum system were used classical methods like PD, PID controller. In recently, however, control methods based on modern and intelligent control theory are widely applied. The fuzzy logic controller which is often used in nonlinear control is a little too hard to design due to increasing fuzzy rules rapidly if the given system like inverted pendulum has many state variables. Also, in case the state variables are divided into two parts, two fuzzy controllers are needed in the control system. In this paper, the authors propose FCSC(Fuzzy Controller based on State variables Combination) that reorganized into two new signals depending on the physical meaning of the four state variables of the inverted pendulum system. The proposed method is applied to the inverted pendulum system and simulations are accomplished to illustrate the control performance.

A Study on Network Based Traffic Signal Optimization Using Traffic Prediction Data (교통예측자료 기반 Network 차원의 신호제어 최적화 방안)

  • Han, Jeong-hye;Lee, Seon-Ha;Cheon, Choon-Keun;Oh, Tae-ho;Kim, Eun-Ji
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.14 no.6
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    • pp.77-90
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    • 2015
  • An increasing number of vehicles is causing various traffic problems such as chronic congestion of highways and air pollution. Local governments have been managing traffic by constructing systems such as Intelligent Transport Systems (ITS) and Advanced Traffic Management Systems (ATMS) to relieve such problems, but construction of an infrastructure-based traffic system is insufficient in resolving chronic traffic problems. A more sophisticated system with enhanced operational management capabilities added to the existing facilities is necessary at this point. As traffic patterns of the urban traffic flow is time-specific due to the different vehicle populations throughout the time of the day, a local network-wide signal operation plan that can manage such situation-specific traffic patterns is deemed to be necessary. Therefore, this study is conducted for the purpose of establishment of a plan for contextual signal control management through signal optimization at the network level after setting the Frame Signal in accordance to the traffic patterns gathered from the short-term traffic forecast data as a means to mitigate the problems with existing standardized signal operations.

Implementation of Intelligence Electronic Acupuncture System based on WEB (WEB 기반 지능형 전자침 시스템 구현)

  • Park, Hyun-Sook;Hong, You-Sik
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.18 no.3
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    • pp.93-100
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    • 2018
  • The electronic acupuncture has the advantage of treating the patient with acupuncture by simultaneously analyzing the patient's physical condition and treatment condition. In this paper, it is proposed and developed an electronic acupuncture algorithm embedded in a multi pad. Especially, it is implemented the control algorithm using the optimal electronic dipstick calculation, sensing pad and DSP system for the patient's body condition. Moreover, in this paper, it is developed SW and HW prototypes that can receive personal information by patient and can receive multi-array type electronc needle guiding procedure based on WEB.

Influence of average process on components recognition efficiency in agricultural field IR images (농지의 IR 이미지에서 평균 처리가 구성물 인지의 효율성에 미치는 영향)

  • Kim, Won-Kyung;Kim, Deok-keun;Yang, Seung-Hwan
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2017.04a
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    • pp.174-174
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    • 2017
  • 농지의 구성물을 인식하는 기술은 농작업 기계를 로봇으로 전환하는데 필요한 기술 중 하나이다. 하지만 실외에서는 태양광과 날씨 변화에 따른 광 조건의 변화가 매우 커서 기존의 영상처리 방법으로 구성물을 인지하는데 한계가 있었다. 본 연구에서는 광 조건의 변화에 따른 영향을 줄이는 방안으로 IR 이미지를 이용한 농지 구성물의 인지를 수행하였다. 농지 구성물로는 토양, 식물, 멀칭비닐, 자갈을 선정하였다. 농지의 IR 이미지에서 농지 구성물을 구별하기 위한 픽셀값을 작게 적용하면 미세한 구분은 가능하지만 토양, 식물, 멀칭 비닐 등을 구성물 단위로 구별할 대는 후처리가 필요로 해지는 문제가 발생하였다. 본 연구에서는 IR 영상의 픽셀값을 평균 처리하여 농지 구성물의 인지를 수행 때의 효과를 확인 하였다. 평균 처리하는 픽셀값이 많을수록 처리속도가 빠르고, 작은 노이즈를 제어하는 효과가 있었지만, 픽셀값이 너무 커지면 구조물의 구별 정확도가 떨어졌다. 이 결과를 바탕으로 농지 구성물 인지를 위한 효율적인 IR 이미지 평균 처리 수준을 확인하였다.

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Sensor Fault Detection and Isolation of a Turbojet Engine Using Neural Network (신경망을 이용한 터보제트 엔진의 고장 진단)

  • Kim, Jong-Sun;Lee, Kang-Woong;Kim, Jin-Gon;Boo, Joon-Hong;Yoo, Sang-Sin;Min, Seong-Ki
    • Journal of Advanced Navigation Technology
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    • v.3 no.1
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    • pp.32-43
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    • 1999
  • In this paper, we designed an intelligent fault detection and isolation algorithm for improving reliability of turbojet engine controller. The proposed method uses multilayer neural network to detect and accommodate sensor failure from the functional relationship of dissimilar sensors. Signals of failure sensors are estimated from neural network trained by backpropagation algorithm. Simulation results on the state-space model of a turbojet engine illustrate that the proposed algorithm achieves the desired performance.

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A Study on the Fault Signal Process of Hierarchical Distributed Structure for Highway Maintenance systems using neural Network (신경회로망을 이용한 분산계층 구조용 도로 유지관리설비의 고장정보처리에 관한 연구)

  • 류승기;문학룡;홍규장;최도혁;한태환;유정웅
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.13 no.1
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    • pp.69-76
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    • 1999
  • This paper proposed a design of intelligent supervisory control systems for maintenance of highway traffic information equiprrent and processing algorithm of equiprrent fault data. The fault data of highway traffic equipment are transmitted from rerrnte supervisory controller to central supervisory system by real time, the transmitted fault data are anaIyzed the characteristic using evaluation algorithm of fault data in central supervisory system. The evaluation algorithm includes a neural network and fault knowlOOge-base for processing the multi-generated fault data. For validating the evaluation algorithm of intelligent supervisory control systems, the rrethod of analysis used to the five pattern of binary signal by transmitted real time and the opTclting user-interface constructed in central supervisory system.

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