• Title/Summary/Keyword: Intelligent Lighting

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Metabolic Rate Estimation for ECG-based Human Adaptive Appliance in Smart Homes (인간 적응형 가전기기를 위한 거주자 심박동 기반 신체활동량 추정)

  • Kim, Hyun-Hee;Lee, Kyoung-Chang;Lee, Suk
    • Journal of Institute of Control, Robotics and Systems
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    • v.20 no.5
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    • pp.486-494
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    • 2014
  • Intelligent homes consist of ubiquitous sensors, home networks, and a context-aware computing system. These homes are expected to offer many services such as intelligent air-conditioning, lighting control, health monitoring, and home security. In order to realize these services, many researchers have worked on various research topics including smart sensors with low power consumption, home network protocols, resident and location detection, context-awareness, and scenario and service control. This paper presents the real-time metabolic rate estimation method that is based on measured heart rate for human adaptive appliance (air-conditioner, lighting etc.). This estimation results can provide valuable information to control smart appliances so that they can adjust themselves according to the status of residents. The heart rate based method has been experimentally compared with the location-based method on a test bed.

Block Based Face Detection Scheme Using Face Color and Motion Information

  • Kim, Soo-Hyun;Lim, Sung-Hyun;Cha, Hyung-Tai;Hahn, Hern-Soo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.4
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    • pp.461-468
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    • 2003
  • In a sequence of images obtained by surveillance cameras, facial regions appear very small and their colors change abruptly by lighting condition. This paper proposes a new face detection scheme, robust on complex background, small size, and lighting conditions. The proposed method is consisted of three processes. In the first step, the candidates for the face regions are selected using face color distribution and motion information. In the second stage, the non-face regions are removed using face color ratio, boundary ratio, and average of column-wise intensity variation in the candidates. The face regions containing eyes and mouth are segmented and classified, and then they are scored using their topological relations in the last step. To speed up and improve a performance the above process, a block based image segmentation technique is used. The experiments have shown that the proposed algorithm detects faced regions with more than 91% of accuracy and less than 4.3% of false alarm rate.

Distributed Dynamic Lighting Energy Management System based on Zigbee Mesh Network (지그비 메쉬망 기반 분산형 동적 에너지 관리 시스템)

  • Kim, Sam-Taek
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.14 no.6
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    • pp.85-91
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    • 2014
  • Nowadays, Dynamic lighting control and management skills are studied and used. If the system which is to manage multiple intelligent spot applied ubiquitous service technology is built with decision making and used in the complex intelligent space like a apartment then will improve energy efficiency and provide comfortability in optimal conditions. To solve this problem distributed autonomous control middleware and energy management system which process data gathering by zigbee mesh network and search proper services to save energy by the existing state of things is necessary. In paper we designed DDLEMS (Distributed Dynamic Lighting Energy Management System) that is to service duplex communication embedded by software based home server platform to provide mobile services in the smart place and support decision making about energy saving to the best use of wireless censor node and controled network, energy display devices.

Implementation of Process System and Intelligent Monitoring Environment using Neural Network

  • Kim, Young-Tak;Kim, Gwan-Hyung;Kim, Soo-Jung;Lee, Sang-Bae
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.4 no.1
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    • pp.56-62
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    • 2004
  • This research attempts to suggest a detecting method for cutting position of an object using the neural network, which is one of intellectual methods, and the digital image processing method. The extraction method of object information using the image data obtained from the CCD camera as a replacement of traditional analog sensor thanks to the development of digital image processing. Accordingly, this research determines the threshold value in binary-coding of an input image with the help of image processing method and the neural network for the real-time gray-leveled input image in substitution for lighting; as a result, a specific position is detected from the processed binary-coded image and an actual system designed is suggested as an example.

A Study on The Integrated Simulation of The Intelligent Building Control Systems and Network (인텔리전트 빌딩의 제어 시스템 및 네트워크의 통합 시뮬레이션에 관한 연구)

  • Shin, Jin-Sok;Lim, Dong-Jin
    • Proceedings of the KIEE Conference
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    • 1997.11a
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    • pp.106-108
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    • 1997
  • Many new office buildings are being built as intelligent buildings equipped with building automation(HA) systems, office automation(OA) systems, and telecommunication(TC) systems in order to provide pleasant building environment and the ease of maintenance and facility management. Building control systems which are employed in intelligent buildings require varieties of advanced control systems and network systems for efficient integrated management. Design and installation of these types of advanced building control systems take a lot of efforts and also they are costly. In order to design these systems, it is necessary for the designers to have the integrated simulator including proper network system simulation. In this paper, the integrated simulator that consist of HVAC system, lighting system, elevator system, parking system based on the network system is presented. For the development of integrated simulator, AHENA which is the general-purpose software tool for a simulation with reinforced GUI is used.

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A Study on the Design of the Effective Smart Streetlight in the Express Way (효율적인 고속도로 스마트 가로등 설계에 관한 연구)

  • Park, Chun-Myoung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2016.05a
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    • pp.764-765
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    • 2016
  • This paper presents a method of effective smart streetlight I the express way. The proposed method support the driver's safety system which informed the before ahead accident besides basic lighting function. Also, the proposed system will be able to apply to the ITS(Intelligent Traffic System) for the future.

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Implementation of Integrated Interface based on Wire and Wireless Dual Network for Ensuring the Reliability of Intelligent LED Lighting System (지능형 LED 조명 시스템의 신뢰성 확보를 위한 유무선 이중망 통합 인터페이스 구현)

  • Lee, Un-Seon;Park, Tae-Jin;Park, Man-Gon
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.63 no.2
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    • pp.306-312
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    • 2014
  • The ZigBee communication method, which is the most frequently applied to the LED lighting control system, has drawbacks of low-speed and low-capacity, and the communication failure possibility due to environmental influences is on the rise. Therefore, it is important to secure the communication reliability by applying an integrated interface with a wire-wireless dual-network. This paper developed a communication module, which has a platform converging and combining the ZigBee of USN environments with the PLC of power line communication environments, to implement a dualized communication interface system supporting the wire-wireless integrated protocol, and implemented a wire-wireless networking device and a control system software technology. As a result, it was automatically switched into the PLC communication within 4.4 seconds on average when there was an access failure in the ZigBee communication network, so a reliable communication network was built.

Data-centric Smart Street Light Monitoring and Visualization Platform for Campus Management

  • Somrudee Deepaisarn;Paphana Yiwsiw;Chanon Tantiwattanapaibul;Suphachok Buaruk;Virach Sornlertlamvanich
    • Journal of information and communication convergence engineering
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    • v.21 no.3
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    • pp.216-224
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    • 2023
  • Smart lighting systems have become increasingly popular in several public sectors because of trends toward urbanization and intelligent technologies. In this study, we designed and implemented a web application platform to explore and monitor data acquired from lighting devices at Thammasat University (Rangsit Campus, Thailand). The platform provides a convenient interface for administrative and operative staff to monitor, control, and collect data from sensors installed on campus in real time for creating geographically specific big data. Platform development focuses on both back- and front-end applications to allow a seamless process for recording and displaying data from interconnected devices. Responsible persons can interact with devices and acquire data effortlessly, minimizing workforce and human error. The collected data were analyzed using an exploratory data analysis process. Missing data behavior caused by system outages was also investigated.

A Study for Designing of Intelligent Lighting Control LED Apparatus (지능형 조명 제어 시스템용 LED 단말기 설계및 개발)

  • Um, Keehong;Yoo, Sooyeub
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.8 no.5
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    • pp.221-227
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    • 2008
  • This paper is to show the designing for LED lights driver unit. The main purpose of driver designing is high electrical efficient performance and intelligent control LED driver. Nowadays, a lightning system with some of charactestics such as an environmentally friendly purposes with a possible reduction of electric power consumptions. We constitute a intelligent contron LED control system that helps to save an electric energy, and a communication system to control the system. This LED driver can be used for intelligent light control. This product expects to improve the light control by dimming instead of interlace on/off light control that increases the social cost such as car accidents and etc.

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Development of RGBW Dimming Control Sensitivity Lighting System based on the Intelligence Algorithm (지능형 알고리즘 기반 RGBW Dimming control LED 감성조명 시스템 개발)

  • Oh, Sung-Kwun;Lim, Sung-Joon;Ma, Chang-Min;Kim, Jin-Yul
    • Journal of the Korean Institute of Intelligent Systems
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    • v.21 no.3
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    • pp.359-364
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    • 2011
  • The study uses department of the sensitivity and fuzzy reasoning, one of artificial intelligence algorithms, so that develop LED lighting system based on fuzzy reasoning for systematical control of the LED color temperature. In the area of sensitivity engineering, by considering the relation between color and emotion expressed as an adjective word, the corresponding sensitivity word can be determined, By taking into consideration the relation between the brain wave measured from the human brain and the color temperature, the preferred lesson subject can be determined. From the decision of the sensitivity word and the lesson subject, we adjust the color temperature of RGB (Red, Green, Blue) LED. In addition, by using the information of the latitude and the longitude from GPS(Global Positioning System), we can calculate the on-line moving altitude of sun. By using the sensor information of both temperature and humidity, we can calculate the discomfort index. By considering the altitude of sun as well as the value of the discomfort index, the illumination of W(white) LED and the color temperature of RGB LED can be determined. The (LED) sensitivity lighting control system is bulit up by considering the sensitivity word, the lesson subject, the altitude of sun, and the discomfort index The developed sensitivity lighting control system leads to more suitable atmosphere and also the enhancement of the efficiency of lesson subjects as well as business affairs.