• Title/Summary/Keyword: Smart LED

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The Development of monitoring system using Bluetooth (블루투스 기반의 LED 조명제어)

  • Kim, Wan-Sik;Shin, Dong-Suk;Kim, Gwan-Hyung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.10a
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    • pp.86-87
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    • 2012
  • 현대에 들어서 스마트폰의 보급률이 높아지고 있으며 스마트폰의 블루투스(Bluetooth) 기능을 활용한 다양한 어플리케이션이 많아지고 있다. 최근 블루투스 기능을 활용하여 실내 LED 조명과 실외 LED 조명을 원격으로 제어할 수 있는 다양한 제품이 출시되고 있다. 이러한 LED 조명의 제어는 색온도를 중심으로 다양한 지능적인 기능을 구현하여 보다 감성 조명시스템으로 발전하고 있다. 본 논문은 블루투스 모듈이 부착되어있는 LED 조명을 스마트폰의 블루투스 모듈을 이용하여 제어 할 수 있도록 시스템을 구성하였으며 또한 하나의 서버를 개설하여 원격지 PC의 서버를 이용하여 각각의 LED 조명을 제어하도록 시스템을 구성하였다. 또한 개인 사용자 단말기인 스마트폰의 블루투스를 이용하여 LED 조명에 대한 색온도를 제어하는 지능적인 LED 조명 제어시스템을 제시하고자 한다.

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Effects of Lettuce Cultivation Using Optical Fiber in Closed Plant Factory (폐쇄형 식물공장내 태양광 파이버를 이용한 상추 재배효과)

  • Lee, Sanggyu;Lee, Jaesu;Won, Jinho
    • Journal of Bio-Environment Control
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    • v.29 no.2
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    • pp.105-109
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    • 2020
  • This study was conducted to the improvement of solar light-based artificial light supply system and effect of lettuce cultivation. The artificial light supply system was consisted of units such as light source, power, system measurement and controller. The light source supply was composed of a solar transmitter and an LED lamp. The power supply consisted of an leakage breaker, SMPS, LED controller and relay. The solar transmitter was made of a quartz optical fiber with optimal light transmission. Artificial light used white lamp among LEDs. System measurement and control consisted of touch screen, Zigbee communication module and light quantity sensor. The results of test confirmed that the LED light is automatically activated when the intensity measured by the light intensity sensor is 200 μmolm-2s-1 or less. Moreover, the leaf length, root length, chlorophyll content and root fresh weight of optical fiber treatment was hight than LED lamp treatment. Therefore, it can be inferred that the energy-saving solar light collector device can be effective in the indoor lettuce production. However, the use of LED lamp is also recommended to assure the availability of sufficient sunlight in cloudy and rainy days.

Study on Development of LED Camping Light Design Based on IOT and Emotional Lighting Contents (IOT 및 감성조명 콘텐츠 기반의 LED 캠핑등 디자인 개발에 관한 연구)

  • Kim, Hee-Jun
    • The Journal of the Korea Contents Association
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    • v.18 no.12
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    • pp.332-342
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    • 2018
  • This study is aimed at suggesting information about technical choices for designing LED camping lights based on emotional lighting contents of integrated IOT and design areas which take a central role in creation and knowledge based industries and the procedure for materializing them. 'i-Light,' a portable LED camping light, is 'connected lighting' connecting men, space and emotion and a smart camping light based on IOT and emotional lighting contents. 'i-Light' has two functions. One is about lighting for adjusting color and color temperature naturally and the other is about safety for detecting harmful gases. 'i-Light' also has various emotional functions for experiencing interaction and taste of light. For the purpose, portable LED camping lights were designed, first of all, and then a highly color rendering/full-color lighting module, a smart sensor module and an IOT device platform were developed. In addition, efforts were made to establish detailed data about emotional lighting contents and to develop a Web application based on them. Finally, prototypes of portable LED camping lights were made to get a test bench and usability evaluation from related organizations. According to the results, all of 12 developed emotional lighting contents and three IOT safety sensors were suitable and prototypes were satisfactory. This paper will suggest a direction about actual technical choices for development of contents and products integrating artificial intelligence and big data and about the procedure for materializing them.

Development of Current Control System for Solar LED Street Light System

  • Kim, Byun-Gon;Kim, Kwan-Woong;Jang, Tae-Su;Lee, Jun-Myung;Kim, Yong-Kab
    • International journal of advanced smart convergence
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    • v.1 no.1
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    • pp.52-56
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    • 2012
  • As inexhaustible clean energy, solar energy will be the most ideal green energy in the 21st century. The effective method to convert solar energy into electrical energy is by solar photovoltaic power generation technologies. LED Emitting Diode is a kind of component which can transform electricity into visible light. As the smart current control system for photovoltaic street lights, the proposed system has improved the battery charging and discharging mechanism to extend the lifespan and effectively controls the LED discharge current according to battery charge state and lighting.

A Study on the Development of Fabric Electronics' Customized Smart Bag Using Computer Embroidery (컴퓨터 자수기를 활용한 일렉트로닉스 커스터마이즈 스마트 가방 개발 연구)

  • Lee, Eun-Kyoo;Kim, Youn-Hee
    • Journal of the Korea Convergence Society
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    • v.11 no.7
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    • pp.105-112
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    • 2020
  • This paper presents an investigation into the development of a fabric electronics based smart bag for festival users of the 2029 generation with customizable tech flaps (music media control/ LED animated graphic functions) based on the application of traditional Korean patterns and goblin patterns in an electric circuit. The investigator took into consideration functional and design strategies to enable custom service according to users' tastes and situations. Based on these considerations, a customizable smart bag platform was proposed in a detachable module based on a computer embroidery machine. The study is significant in that it developed a product that is different from the old PCB smart products in hard form and proposed a new business model.

A Development of Smart Sensing Device for Monitoring Abnormal Vibration of Industrial Equipment (산업 설비의 이상 진동 감지를 위한 스마트 센싱 디바이스의 개발)

  • Ryu, Dae-Hyun;Choi, Tae-Wan
    • The Journal of the Korea institute of electronic communication sciences
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    • v.12 no.2
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    • pp.361-366
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    • 2017
  • The abnormal state of the main equipment across the industry is accompanied by abnormal rise of temperature, change in the vibration and noise. In this study, we developed a smart sensing module equipped with BLE, and developed a smart sensing device that can detect abnormal vibration due to its own flaws of the equipment by interfacing with an MEMS-based acceleration sensor. The smart sensing device developed in this study can be easily installed in a small space and can monitor the vibration status of the equipment in real time, and can easily inform the user of the steady state and the problem occurrence status with array LED display.

A Controlled Study of Interactive Exhibit based on Gesture Image Recognition (제스처 영상 인식기반의 인터렉티브 전시용 제어기술 연구)

  • Cha, Jaesang;Kang, Joonsang;Rho, Jung-Kyu;Choi, Jungwon;Koo, Eunja
    • Journal of Satellite, Information and Communications
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    • v.9 no.1
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    • pp.1-5
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    • 2014
  • Recently, building is rapidly develop more intelligently because of the development of industries. And people seek such as comfort, efficiency, and convenience in office environment and the living environment. Also, people were able to use a variety of devices. Smart TV and smart phones were distributed widely so interaction between devices and human has been increase the interest. A various method study for interaction but there are some discomfort and limitations using controller for interaction. In this paper, a user could be easily interaction and control LED through using Kinect and gesture(hand gestures) without controller. we designed interface which is control LED using the joint information of gesture obtained from Kinect. A user could be individually controlled LED through gestures (hand movements) using the implementation of the interface. We expected developed interface would be useful in LED control and various fields.

A Preliminary Study on the Lighting Design of Hospitals for LED Lighting Application (LED 조명 적용을 위한 의료시설 조명환경계획에 관한 기초연구)

  • You, Min-Jeong;Hong, Seong-Kwan;Choi, An-Seop
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.25 no.12
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    • pp.1-10
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    • 2011
  • Recently medical facilities that can help to heal the interpretation have evolved as a healing space. Accordingly, the patient's emotional, psychological and social ward plan to meet the needs of the patient to recover is important. The medical team is also related to the nature of human life, so they are experiencing high stress levels compared to other professionals. However, most places don't consider the user's psychological behavior. The purpose of this study is to build user-friendly lighting environment using LED lighting. LED lighting is easy to adjust illuminance and color temperature, and it is can be implemented in the medical area.

Smart RGB LED Lighting Control Using Blueinno (블루이노를 활용한 RGB LED조명 제어)

  • Kang, Nam-Gyu;Ji, Soo-Min;Kim, Kwang-Pyo
    • Proceedings of the Korea Information Processing Society Conference
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    • 2017.11a
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    • pp.1162-1165
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    • 2017
  • 4차 산업혁명이 대두되고 있어 IoT사물인터넷이 각광받고 있다. Bluetooth 4.0 Low Energy를 사용하여 LED조명이 기존의 단순한 조명역할에서 벗어나 IoT(Internet of Things)기술을 결합시켜 사용자가 손쉽게 환경변화에 의한 LED On/Off, Color Control, 밝기 조절을 통해 높은 부가가치를 실현하여 사람의 생활의 가치를 높이도록 한다. 또한, LED소자는 반영구적인 것에 비해 실제 상용화 된 LED등을 사용할 시 드라이버 회로의 문제로 인해 1년 정도의 수명을 가진다. 이러한 드라이버 회로의 문제를 개선하여 LED소자의 반영구적인 특성을 최대한 활용하여 LED조명의 수명을 높이고자 한다.

Development of Deep Learning Structure for Defective Pixel Detection of Next-Generation Smart LED Display Board using Imaging Device (영상장치를 이용한 차세대 스마트 LED 전광판의 불량픽셀 검출을 위한 딥러닝 구조 개발)

  • Sun-Gu Lee;Tae-Yoon Lee;Seung-Ho Lee
    • Journal of IKEEE
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    • v.27 no.3
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    • pp.345-349
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    • 2023
  • In this paper, we propose a study on the development of deep learning structure for defective pixel detection of next-generation smart LED display board using imaging device. In this research, a technique utilizing imaging devices and deep learning is introduced to automatically detect defects in outdoor LED billboards. Through this approach, the effective management of LED billboards and the resolution of various errors and issues are aimed. The research process consists of three stages. Firstly, the planarized image data of the billboard is processed through calibration to completely remove the background and undergo necessary preprocessing to generate a training dataset. Secondly, the generated dataset is employed to train an object recognition network. This network is composed of a Backbone and a Head. The Backbone employs CSP-Darknet to extract feature maps, while the Head utilizes extracted feature maps as the basis for object detection. Throughout this process, the network is adjusted to align the Confidence score and Intersection over Union (IoU) error, sustaining continuous learning. In the third stage, the created model is employed to automatically detect defective pixels on actual outdoor LED billboards. The proposed method, applied in this paper, yielded results from accredited measurement experiments that achieved 100% detection of defective pixels on real LED billboards. This confirms the improved efficiency in managing and maintaining LED billboards. Such research findings are anticipated to bring about a revolutionary advancement in the management of LED billboards.