• Title/Summary/Keyword: 전기통신시스템

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A Display Method of Image Information and URL Using the Message Structures of Emergency Alert Broadcasts for 5G Cellular Communications (5G 이동통신 용 재난경보 방송의 메시지 구조를 이용한 이미지 정보 및 URL 표출기법)

  • Chang, Sekchin
    • Journal of Broadcast Engineering
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    • v.26 no.5
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    • pp.592-598
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    • 2021
  • Current cellular systems rely on a CBS protocol for emergency alert broadcast services. However, the CBS protocol just specifies the delivery of a limited text message. Therefore, foreigners, who are unfamiliar with local characters, may have some difficulties in understanding the received CBS text message. The CBS protocol also reveals a distinct restriction in delivering abundant information because of a limited number of text characters. In order to overcome the weak points of the current CBS protocol, we propose a display method of image information and URL on the screens of mobile terminals for the received CBS text message in this paper. The presented approach effectively utilizes the message structure of CBS for 5G cellular systems.

A Supplementary Service Technology for Enhanced Receiver Performance of Emergency Alert Broadcast Based on 5G Cellular Communications (5G 이동통신 기반 재난 방송의 수신 성능 향상을 위한 부가 서비스 기법)

  • Chang, Sekchin
    • Journal of Broadcast Engineering
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    • v.26 no.2
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    • pp.197-207
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    • 2021
  • The emergency alert broadcast service based on cellular communications is defined as CBS. However, the CBS just supports a limited text message, which might be unavailable to foreigners, who are unfamiliar with local characters. The CBS protocol relies on a broadcast mechanism. Such a broadcast technology exhibits that the number of outage users significantly increases under poor channel conditions. In this paper, we present a supplementary service technology for 5G CBS, which considerably enhances the accessibility of foreigners and illiterate persons, and the receiver performance. For the enhanced receiver performance, the proposed supplementary service approach effectively exploits the device-based geo-targeting capability that the 5G CBS can afford to offer.

A Study of Automatic Fire Detection Installation based CAN Comunnication (CAN 통신기반 자동화재탐지설비에 관한 연구)

  • Kim, Young-Dong;Oh, Guem-Kon;Kang, Won-Chan
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.20 no.2
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    • pp.50-59
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    • 2006
  • In this paper, We are going to propose the fire protection system using CAN(Controller Area Network). The larger, higher and deeper buildings an, the more dangerous people are when fire happens. We should be aware of the problems of prior fire protection system. Therefore, we construct the embedded system based on CAN communication that is capable of N to N communication, and build independent fire protection system. If the fire is occurred on the building, the problem is that how fast we can detect the fire and put it on by using available system, this is major factor that reduces damage of our wealth. Therefore in this studies, We would like to design more stable system than current system. This system is based on CAN communication which is available N to N communication constructs and designed to compensate for each fault, so that our aim is to reduce the wires of system, cost of installation and to suppose future type fire protection system.

Anomaly Data Detection Using Machine Learning in Crowdsensing System (크라우드센싱 시스템에서 머신러닝을 이용한 이상데이터 탐지)

  • Kim, Mihui;Lee, Gihun
    • Journal of IKEEE
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    • v.24 no.2
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    • pp.475-485
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    • 2020
  • Recently, a crowdsensing system that provides a new sensing service with real-time sensing data provided from a user's device including a sensor without installing a separate sensor has attracted attention. In the crowdsensing system, meaningless data may be provided due to a user's operation error or communication problem, or false data may be provided to obtain compensation. Therefore, the detection and removal of the abnormal data determines the quality of the crowdsensing service. The proposed methods in the past to detect these anomalies are not efficient for the fast-changing environment of crowdsensing. This paper proposes an anomaly data detection method by extracting the characteristics of continuously and rapidly changing sensing data environment by using machine learning technology and modeling it with an appropriate algorithm. We show the performance and feasibility of the proposed system using deep learning binary classification model of supervised learning and autoencoder model of unsupervised learning.

Performance of pilot-based signal detection for digital IoT doorlock system (디지털 도어락 시스템을 위한 파일럿 기반 신호검출 성능)

  • Lee, Sun Yui;Hwang, Yu Min;Sun, Young Ghyu;Yoon, Sung Hoon;Kim, Jin Young
    • Journal of IKEEE
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    • v.22 no.3
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    • pp.723-728
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    • 2018
  • This paper proposes a signal detection method for IoT door lock system which is a new application field of VLC (Visible Light Communication). This paper describes the signal detection technique for user recognition that needs to be overcome in order to apply VLC to door lock system which has a demand for new technology due to security issue. This system has security and high signal detection characteristics because it uses existing infrastructure to communicate with visible light. In order to detect the signal using FFT, the signal of the user who accesses the authentication channel based on the pilot signal is detected, and the performance of the false alarm probability and detection probability is shown in the channel model.

Smart Outlet System for Single-person Household based on IoT (Internet of Things) (사물 인터넷 기반의 1인 가구를 위한 스마트 콘센트 시스템)

  • Kim, Hye-Suk;Park, Byeong-Ju;Cho, Young-Ju
    • Journal of Digital Contents Society
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    • v.18 no.5
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    • pp.895-904
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    • 2017
  • In this paper, we propose an IoT based smart outlet system for one-person household with electric safety, electric energy consumption management and transmission of messages to the reserved contacts by connecting the emergency network. The proposed smart outlet system is implemented by parsing packet data and protocol between server, module, application and WiFi AP receiver. The WiFi AP built for communication can be used not only for the outlet but also for the gas barrier, the door lock and the like. In addition, the proposed method can provide the remote monitoring function by receiving the amount of power of the receptacle received through the AC current sensor (SCT-013) in real time. The smart outlet system is expected to be capable of automatically shutting off the power in case of emergency through automatic power use analysis in addition to the standby power cutoff function.

Design of the Low-Power Continuous-Time Sigma-Delta Modulator for Wideband Applications (광대역 시스템을 위한 저전력 시그마-델타 변조기)

  • Kim, Kunmo;Park, Chang-Joon;Lee, Sanghun;Kim, Sangkil;Kim, Jusung
    • Journal of IKEEE
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    • v.21 no.4
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    • pp.331-337
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    • 2017
  • In this paper, we present the design of a 20MHz bandwidth 3rd-order continuous-time low-pass sigma-delta modulator with low-noise and low-power consumption. The bandwidth of the system is sufficient to accommodate LTE and other wireless network standards. The 3rd-order low-pass filter with feed-forward architecture achieves the low-power consumption as well as the low complexity. The system uses 3bit flash quantizer to provide fast data conversion. The current-steering DAC achieves low-power and improved sensitivity without additional circuitries. Cross-coupled transistors are adopted to reduce the current glitches. The proposed system achieves a peak SNDR of 65.9dB with 20MHz bandwidth and power consumption of 32.65mW. The in-band IM3 is simulated to be 69dBc with 600mVp-p two tone input tones. The circuit is designed in a 0.18-um CMOS technology and is driven by 500MHz sampling rate signal.

The Efficiency Analysis of Firms Having Established a Business Intelligence System Using DEA/Time-Window Analysis (DEA를 이용한 기업의 Business Intelligence 시스템 도입 효율성에 대한 비교 평가 연구)

  • Baek, Seong-Hyun;Park, Kwang-Ho;Kim, Tai-Young
    • Information Systems Review
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    • v.17 no.3
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    • pp.113-133
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    • 2015
  • In this paper, DEA analysis is employed to compare and evaluate the relative efficiency of a business intelligence (BI) system among five industrial groups such as IT and financial services, electricity and electronics, energy and chemistry, automotive and heavy machinery, and food and apparel. Especially, this study has analyzed the improving tendency of relative efficiency of the industrial groups since they adopted the BI System using Time-Window Analysis. The research findings show that the energy and chemical industry group tends to be remarkably more efficient than the other groups and the electrical and electronic industry turns out to gradually improve their efficiency since the adoption of the BI system.

Study on performance improvement of electric-point machine monitoring system (전기선로전환기 모니터링시스템의 성능 향상에 관한 연구)

  • Park, Jae-Young
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.11 no.11
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    • pp.4509-4514
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    • 2010
  • In this thesis, the effect of switch maintenance improvement is confirmed after testing and operating the switch monitoring system that were researched and developed originally in order to improve method of electric switch maintenance. However, as in an automatic interlocking station where a ground crew was not placed, repair and inspection could not be carried out until the maintenance person comes in case of switch problems or maintenance. In order to improve this issue, control module was installed in a monitoring system which can communicate through a data radio to a remote computer. Thus, the monitoring device can receive control information which a remote computer commands during the operation of switches. Afterward, it shows information on the real-time status of swith, in particular, anomaly situation through user interface after the switch is operated. By improving performance of the monitoring system in this way which can be managed and controled at a remote place, the prompt countermeasure system in case of disruption will be built and as a result, efficiency and convenience of maintenance improvement will be expected to increase.

Direction control using signals originating from facial muscle constructions (안면근에 의해 발생되는 신호를 이용한 방향 제어)

  • Yang, Eun-Joo;Kim, Eung-Soo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.13 no.4
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    • pp.427-432
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    • 2003
  • EEG is an electrical signal, which occurs during information processing in the brain. These EEG signals have been used clinically, but nowadays we ate mainly studying Brain-Computer Interface (BCI) such as interfacing with a computer through the EEG, controlling the machine through the EEG. The ultimate purpose of BCI study is specifying the EEG at various mental states so as to control the computer and machine. This research makes the controlling system of directions with the artifact that are generated from the subject s will, for the purpose of controlling the machine correctly and reliably We made the system like this. First, we select the particular artifact among the EEG mixed with artifact, then, recognize and classify the signals pattern, then, change the signals to general signals that can be used by the controlling system of directions.