• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.15 no.2
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• pp.263-267
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• 2015

current mine detector can't division the section if it is conducted and it needs too much labor force and time. in addition to, if the user don't move the head of sensor in regular speed or move it too fast, it is hard to detect a mine exactly. according to this, to improve the problem using one direction ultrasonic wave sensing signal, that is made up of human body antenna part, main micro processor unit part, smart glasses part, body equipped LCD monitor part, wireless data transmit part, belt type power supply part, black box type camera, Security Communication headset. the user can equip this at head, body, arm, waist and leg in removable type. so it is able to detect the powder in a 360-degree on(under) the ground whether it is metal or nonmetal and it can express the 2D or 3D film about distance, form and material of the mine. so the battle combats can avoid the mine and move fast. also, through the portable battery and twin self power supply system of the power supply part, combat troops can fight without extra recharge and we can monitoring the battle situation of distant place at the command center server on real-time. and then, it makes able to sharing the information of battle among battle combats one on one. as a result, the purpose of this study is researching a smart wearable mine detector which can establish a smart battle system as if the commander is in the site of the battle.

• Journal of the Korean Institute of Intelligent Systems
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• v.15 no.2
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• pp.173-178
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• 2005

This paper focuses on the use of the virtual dialog system whose aim is to build more convenient living environments. In order to realize this, the main emphasis of the paper lies on the description of the multimedia signal processing on the basis of the technologies such as speech recognition, speech synthesis, video, or sensor signal processing. For essential modules of the dialog system, we incorporated the real-time speech recognizer based on HM-Net(Hidden Markov Network) as well as speech synthesis into the overall system. In addition, we adopted the real-time motion detector based on the changes of brightness in pixels, as well as the touch sensor that was used to start system. In experimental evaluation, the results showed that the proposed system was relatively easy to use for controlling electric appliances while sitting in a sofa, even though the performance of the system was not better than the simulation results owing to the noisy environments.

• KNOM Review
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• v.22 no.2
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• pp.29-38
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• 2019

The rapid growth of IoT (Internet of Things) owing to the advancement and spread of technologies such as wireless networks, communication modules, sensors, smart terminals, etc. enables the development of new services in diverse public and private sectors. In particular, research on IoT technology and its applications has increased in the field of science. To establish an IoT infrastructure in this field, KREONET launched the wireless IoT network, called ScienceLoRa, based on low power wide area network (LPWAN). ScienceLoRa aims to collect a variety of data from sensors and utilize and analyze the collected data for research in a variety of scientific fields. In this article, the authors present the concept, current status, applications and future plans of ScienceLoRa.

• Journal of Satellite, Information and Communications
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• v.7 no.2
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• pp.54-58
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• 2012

In this paper, we implemented total monitoring system in which LED light turned on only when user detected and LED light turned out only when user disappeared. This system is composed of two modules, one is HW board based on Micro Controller and the other is SW control system based on Web server. Micro controller board is based on ATMega2560 chip which is connected with Infra Red and Ultra sonic sensors. Web based monitoring system was designed can be used in smart device. The validity of this monitoring system was proved by integration test of two modules.

• Proceedings of the Korean Society of Computer Information Conference
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• 2019.07a
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• pp.235-236
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• 2019

스마트화 시대로 인해 주차장에서 운전자가 불편함을 줄여줄 수 있는 많은 기능들이 추가되었으나, 여전히 해결되지 못한 불편함은 많이 남아있다. 그 중 협소한 주차 공간에서 발생하는 접촉 사고와 차량을 주차하는데 많은 시간을 소모하는 불편함이 남아있다. 주차 공간 부족으로 인해 아파트 입구와 갓길, 소방차 지정구역에도 차량을 주차하는 등 많은 문제가 발생하고 있다. 아파트 입구의 주차된 차량들로 인해 운전자는 갑자기 튀어나온 어린이들을 발견하지 못하는 사고가 발생한다. 또한 갓길과 소방차 지정구역의 주차로 인해 화재 발생 시 소방차가 진입하지 못하여 화재 진압에 영향을 주어 2차 피해가 발생 하고 있다. 최근 몇 년간 부족한 주차 공간으로 인해 발생하는 문제를 해결하기 위해 소방법 강화 및 지정 주차구역, 주차 요일제 등을 시행하고 있으나, 주차 공간을 증가 시키는 등 직접적인 주차 공간 해결에는 많은 노력을 기울이지 않고 있다. 이러한 사고 피해를 예방하기 위한 연구의 중심으로써 주차 구역으로 설정하였으며, 자동화와 편의성을 추가하고자 하였다. 무인 주차 시스템의 자동화 구현을 위해 아두이노 개발환경에 3가지 센서를 적용하였으며, 편의성을 높이기 위해 RFID카드를 이용한 차량 정보 인식 기능을 적용하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.399-400
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• 2010

산업의 발전과 경제성장을 바탕으로 대한민국의 자동차 등록수는 매년 꾸준한 증가세를 보이고 있다. 이와 더불어 자동차 사고 또한 급격히 증가하고 있다. 대한민국은 OECD회원국중 교통사고 발생건수가 높은 편이고 사망자수 또한 상위에 랭크되어 있다. 이러한 사망자 수는 각 나라별 교통사고 발생건수 대비 사망자수와 비교시 높은 사망률을 보이고 있다. 또한 자동차 충돌 사고에서 빈번히 발생되는 운전자의 의식불명에 따른 초기 응급조치의 미흡, 뺑소니 또는 사고 후 방치되는 상황을 방지하기 위해 차량용 블랙박스와 사고발생 통보 시스템이 필요하다. 본 논문에서는 가속도센서를 이용하여 사고 발생시 충격 임계점을 계산한 후 사고 발생을 블루투스를 이용하여 스마트폰으로 전송한다, 또한, 교통사고 발생 후 환자의 응급 후송 및 2차 교통사고를 방지하기 위한 시스템의 필요성에 따라 블랙박스를 접목한 차량용 응급상황 감지 및 통보 시스템을 설계 및 구현하였다.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.11
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• pp.2423-2428
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• 2010

The number of motor vehicle registrations in Korea is increasing steadily each year, driven by industry development and economic growth. The number of traffic accidents is also rapidly increasing. Korea has a relatively high number of traffic accidents among OECD member countries, and it ranks among the highest in traffic accident death rates. This death rate is higher compared to death rates as a proportion of the number of traffic accidents in each country. It is very common for drivers to lose consciousness in traffic collisions, which leads to a failure to carry out early emergency measures. In order to prevent such situations as well as hit-and-runs and people left uncared for after traffic accidents, there is a need for motor vehicle black boxes and accident report systems. This study addressed the need for an emergency evacuation system for people injured in traffic accidents and a secondary traffic accident prevention system by developing a motor vehicle emergency situation detection and report system combined with a black box, and materializing it as an actual system.

• Journal of the Institute of Convergence Signal Processing
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• v.12 no.2
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• pp.150-156
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• 2011

Smart Highway is a next generation highway that significantly improves a traffic safety, reduces incidence of traffic accidents, and supports intelligent and convenient driving environments so that drivers can drive at high speeds in safety. In order to implement smart highway, it is required to gather a large amount of data including conditions of a road and the status of vehicles, and other useful data. To provide situation information of highway, it has been gathered traffic information using optical sensors(CCTV, etc.). However, this technique has problems such as the problem of information gathering, lack of accuracy depending on weather conditions and limitation of maintenance. It needs radar system which has not effect on environmental change and algorithm processing technique in order to provide information for a safety driving to driver and car. In this paper, it is used radar with 9.4GHz to test performance of a road surface and developed radar system for detecting test. And we compared and analyzed a performance of data acquired from each radar through computer simulation.

• Korean Journal of Construction Engineering and Management
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• v.24 no.3
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• pp.42-51
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• 2023

Freeze and burst water meter in winter causes many social costs, such as meter replacement cost, inability of water use, and secondary damage by freezing water. The government is making efforts to modernize local waterworks, and in particular, is promoting SWM(Smart Water Management) project nationwide. In this study suggests a new freeze risk notification information service based on the temperature by IoT sensor inside the water meter box rather than outside temperature. In addition, in order to overcome the quantitative and regional limitation of IoT temperature sensors installed nationwide, and AI based temperature prediction model was developed that predicts the temperature inside water meter boxes based on data acquired from IoT temperature sensors and other information. Through the prediction model optimization process, a nationwide water meter freezing risk information service was convinced.

• KIPS Transactions on Software and Data Engineering
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• v.5 no.10
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• pp.503-510
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• 2016

FsGr model, which has been proposed recently, is an approach of accelerometer-based gesture recognition by applying DTW algorithm in two steps, which improved recognition success rate. In FsGr model, sets of similar gestures will be produced through training phase, in order to define the notion of a set of similar gestures. At the 1st attempt of gesture recognition, if the result turns out to belong to a set of similar gestures, it makes the 2nd recognition attempt to feature-strengthened parts extracted from the set of similar gestures. However, since a same gesture show drastically different characteristics according to physical traits such as body size, age, and sex, FsGr model may not be good enough to apply to multi-user environments. In this paper, we propose FsGrM model that extends FsGr model for multi-user environment and present a program which controls channel and volume of smart TV using FsGrM model.