• Title/Summary/Keyword: 지능형 신호 제어

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A Study on Design of Abstacle Ahead Sensing and Inform Shoes (전방 장애물 감지 및 알림 신발 설계에 관한 연구)

  • Kim, Kyungmin;So, Daehyun;Seo, Boram;Lim, Eunbin;Park, Jangwoo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2015.10a
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    • pp.510-512
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    • 2015
  • 최근 IT 기술의 발전으로 가장 보편화 되고 있는 첨단기기는 스마트폰이다. 길을 걸으며 스마트폰을 사용하는 사람들이 늘어나고 이러한 행위는 보행자 자신의 안전에도 크게 위협적인 요소가 될 수도 있지만 자칫 주변 사람들에게까지 돌이킬 수 없는 결과를 초래할 수도 있다. 본 논문에서는 사람들의 안전한 생활을 위한 지능형 신발을 설계한다. 설계한 신발은 사람들에게 편리하고 유용한 장애물 감지 및 알림 시스템을 설계하기 위해 초음파 센서와 진동 센서 그리고 LED를 이용한다. 또한 모바일 어플리케이션(Mobile application)을 개발하여 활용도를 높인다. 초음파 센서는 마이크로 프로세서에서 장애물과의 거리를 계산한다. 진동 센서는 초음파 센서에서 계산한 거리가 특정거리(IM-4M) 이내이면 신호를 받아 진동 센서 혹은 LED가 동작해 사람에게 장애물이 있다고 알려준다. 모바일 어플리케이션(Mobile application)은 신발이 스마트폰과 일정거리 이상 멀어져 블루투스(Bluetooth)가 끊기면 알림을 해줌으로써 분실 방지를 해주고. 신발의 각 기능들을 제어하도록 해준다. 또 장애물과의 거리가 얼마나 남았는지를 확인할 수 있는 기능도 있다. 따라서 본 논문에서 제안하는 장애물 감지 및 알림 기능은 사람들에게 안전을 보장해주고 저비용으로 구현 가능한 장점이 있다.

Data-based Traffic Safety Strategy for Sejong City (데이터 기반의 세종시 교통안전망 강화 방안 연구)

  • Kang, Hyun-Jung;Kim, Taehong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.147-149
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    • 2021
  • The trend of increasing traffic problems due to the explosion in traffic volume in Sejong City has reached a level that cannot be solved by investment in facility infrastructure, so it is essential to establish an intelligent traffic environment based on data. By benchmarking similar cases in the domestic and overseas, and analyzing the traffic information of Sejong City, we propose a plan to provide parking information using Intelligent CCTV, a smart traffic signal control system, and a safe drop zone. It is expected that this study will a basis for establishing policies of the Sejong City traffic safety strategy in the future.

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A slide reinforcement learning for the consensus of a multi-agents system (다중 에이전트 시스템의 컨센서스를 위한 슬라이딩 기법 강화학습)

  • Yang, Janghoon
    • Journal of Advanced Navigation Technology
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    • v.26 no.4
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    • pp.226-234
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    • 2022
  • With advances in autonomous vehicles and networked control, there is a growing interest in the consensus control of a multi-agents system to control multi-agents with distributed control beyond the control of a single agent. Since consensus control is a distributed control, it is bound to have delay in a practical system. In addition, it is often difficult to have a very accurate mathematical model for a system. Even though a reinforcement learning (RL) method was developed to deal with these issues, it often experiences slow convergence in the presence of large uncertainties. Thus, we propose a slide RL which combines the sliding mode control with RL to be robust to the uncertainties. The structure of a sliding mode control is introduced to the action in RL while an auxiliary sliding variable is included in the state information. Numerical simulation results show that the slide RL provides comparable performance to the model-based consensus control in the presence of unknown time-varying delay and disturbance while outperforming existing state-of-the-art RL-based consensus algorithms.

A Study on Water Level Control of PWR Steam Generator at Low Power Operation and Transient States (저출력 및 과도상태시 원전 증기발생기 수위제어에 관한 연구)

  • Na, Nan-Ju;Kwon, Kee-Choon;Bien, Zeungnam
    • Journal of the Korean Institute of Intelligent Systems
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    • v.3 no.2
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    • pp.18-35
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    • 1993
  • The water level control system of the steam generator in a pressurized water reactor and its control problems are analysed. In this work the stable control strategy during the low power operation and transient states is studied. To solve the problem, a fuzzy logic control method is applied as a basic algorithm of the controller. The control algorithm is based on the operator's knowledges and the experiences of manual operation for water level control at the compact nuclear simulator set up in Korea Atomic Energy Research Institute. From a viewpoint of the system realization, the control variables and rules are established considering simpler tuning and the input-output relation. The control strategy includes the dynamic tuning method and employs a substitutional information using the bypass valve opening instead of incorrectly measured signal at the low flow rate as the fuzzy variable of the flow rate during the pressure control mode of the steam generator. It also involves the switching algorithm between the control valves to suppress the perturbation of water level. The simulation results show that both of the fine control action at the small level error and the quick response at the large level error can be obtained and that the performance of the controller is improved.

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Smart Radar System for Life Pattern Recognition (생활패턴 인지가 가능한 스마트 레이더 시스템)

  • Sang-Joong Jung
    • Journal of the Institute of Convergence Signal Processing
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    • v.23 no.2
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    • pp.91-96
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    • 2022
  • At the current camera-based technology level, sensor-based basic life pattern recognition technology has to suffer inconvenience to obtain accurate data, and commercial band products are difficult to collect accurate data, and cannot take into account the motive, cause, and psychological effect of behavior. the current situation. In this paper, radar technology for life pattern recognition is a technology that measures the distance, speed, and angle with an object by transmitting a waveform designed to detect nearby people or objects in daily life and processing the reflected received signal. It was designed to supplement issues such as privacy protection in the existing image-based service by applying it. For the implementation of the proposed system, based on TI IWR1642 chip, RF chipset control for 60GHz band millimeter wave FMCW transmission/reception, module development for distance/speed/angle detection, and technology including signal processing software were implemented. It is expected that analysis of individual life patterns will be possible by calculating self-management and behavior sequences by extracting personalized life patterns through quantitative analysis of life patterns as meta-analysis of living information in security and safe guards application.

Improved Intelligent Routing Protocol in Vehicle Ad-hoc Networks (차량 Ad-hoc 혹 통신에서 개선된 지능형 경로 프로토콜)

  • Lee, Dong Chun
    • Convergence Security Journal
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    • v.21 no.1
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    • pp.129-135
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    • 2021
  • Greedy protocols show good performance in Vehicular Ad-hoc Networks (VANETs) environment in general. But they make longer routes causing by surroundings or turn out routing failures in some cases when there are many traffic signals which generate empty streets temporary, or there is no merge roads after a road divide into two roads. When a node selects the next node simply using the distance to the destination node, the longer route is made by traditional greedy protocols in some cases and sometimes the route ends up routing failure. Most of traditional greedy protocols just take into account the distance to the destination to select a next node. Each node needs to consider not only the distance to the destination node but also the direction to the destination while routing a packet because of geographical environment. The proposed routing scheme considers both of the distance and the direction for forwarding packets to make a stable route. And the protocol can configure as the surrounding environment. We evaluate the performance of the protocol using two mobility models and network simulations. Most of network performances are improved rather than in compared with traditional greedy protocols.

A Study on the Hardware Implementation of Competitive Learning Neural Network with Constant Adaptaion Gain and Binary Reinforcement Function (일정 적응이득과 이진 강화함수를 가진 경쟁학습 신경회로망의 디지탈 칩 개발과 응용에 관한 연구)

  • 조성원;석진욱;홍성룡
    • Journal of the Korean Institute of Intelligent Systems
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    • v.7 no.5
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    • pp.34-45
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    • 1997
  • In this paper, we present hardware implemcntation of self-organizing feature map (SOFM) neural networkwith constant adaptation gain and binary reinforcement function on FPGA. Whereas a tnme-varyingadaptation gain is used in the conventional SOFM, the proposed SOFM has a time-invariant adaptationgain and adds a binary reinforcement function in order to compensate for the lowered abilityof SOFM due to the constant adaptation gain. Since the proposed algorithm has no multiplication operation.it is much easier to implement than the original SOFM. Since a unit neuron is composed of 1adde $r_tracter and 2 adders, its structure is simple, and thus the number of neurons fabricated onFPGA is expected to he large. In addition, a few control signal: ;:rp sufficient for controlling !he neurons.Experimental results show that each componeni ot thi inipiemented neural network operates correctlyand the whole system also works well.stem also works well.

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An Incident-Responsive Dynamic Control Model for Urban Freeway Corridor (도시고속도로축의 유고감응 동적제어모형의 구축)

  • 유병석;박창호;전경수;김동선
    • Journal of Korean Society of Transportation
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    • v.17 no.4
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    • pp.59-69
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    • 1999
  • A Freeway corridor is a network consisting of a few Primary longitudinal roadways (freeway or major arterial) carrying a major traffic movement with interconnecting roads which offer the motorist alternative paths to his/her destination. Control measures introduced to ameliorate traffic performance in freeway corridors typically include ramp metering at the freeway entrances, and signal control at each intersections. During a severe freeway incident, on-ramp metering usually is not adequate to relieve congestion effectively. Diverting some traffic to the Parallel surface street to make full use of available corridor capacity will be necessary. This is the purpose of the traffic management system. So, an integrated traffic control scheme should include three elements. (a)on-ramp metering, (b)off-ramp diversion and (c)signal timing at surface street intersections. The purpose of this study is to develop an integrated optimal control model in a freeway corridor. By approximating the flow-density relation with a two-segment linear function. the nonlinear optimal control problem can be simplified into a set of Piecewise linear programming models. The formulated optimal-control Problem can be solved in real time using common linear program. In this study, program MPL(ver 4.0) is used to solve the formulated optimal-control problem. Simulation results with TSIS(ver 4.01) for a sample network have demonstrated the merits of the Proposed model and a1gorithm.

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Basic System Architecture Design for Airport GIS Service Models (Airport GIS 구축을 위한 서비스모델 설계에 관한 연구)

  • Sim, Jae-Yong;Lee, Tong-Hoon;Park, Joo-Young
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.7 no.3
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    • pp.82-94
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    • 2008
  • Airport GIS is a comprehensive information system to improve security and efficiency of airport. At the initial stage to make it real, the current status of domestic and international regulations along with relevant standardization bas been reviewed. Gimpo Airport becomes a test-bed to get some ideas about how to bring the airport GIS into workflow by building service model and basic design based on current status and demand analysis of the airport. The 6 service models primarily brought into the project are as follows: (1) Local vehicles safety management in airside, (2) Intelligent traffic control between flights and vehicles at main cross points, (3) Dynamic safety management against FOD in airside and breakage on pavement, (4) Special support vehicle management such as deicing remotely controlled, (5) Response and support for fire vehicles and ambulances of signatory institutions in emergency. The upcoming research topic aims at drawing a specific design and building integrated system in the future.

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A Study on the Performance Evaluation Measures of Traffic Signal Operation at Signalized Intersections by Utilizing Historical Data from Advanced Traveller Information System (첨단 교통 정보 시스템 누적 소통정보를 활용한 신호교차로 운영개선 효과평가를 위한 혼잡강도 지표 연구)

  • Cho, Yong-bin;Kim, Jin-tae
    • The Journal of the Korea Contents Association
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    • v.18 no.11
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    • pp.643-654
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    • 2018
  • In order to understand and manage traffic flows in urban areas in the past, a variety of traffic engineering theoretical indicators such as intersection lag and highway speed have been applied. However, these theories and indicators have been developed under the constraints of traffic engineering research before the construction of intelligent transportation system. Since the ATIS system currently exists, it is necessary to introduce a separate traffic engineering technology that utilizes the data. In this paper, it is aimed to confirm whether it is applicable to intermittent flow (approach road, intersection, control group, main road axis) by using 'congestion intensity' which is already used in traffic engineering field. The results of this study are as follows: (1) The traffic signal improvement effect of urban road access road, intersection road, control group, Two verification studies were performed to verify the derived congestion intensity index. (1) verification of congestion intensity threshold value analysis and (2) crossing improvement using the congestion intensity. Through verification, it was confirmed that it is possible to apply the congestion intensity in the inter - city intermittent flow using the 5 - minute unit speed data so as to be able to escape from the existing traffic signal operation management which is past passive and manpower limit.