• Proceedings of the Korean Society of Computer Information Conference
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• 2019.01a
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• pp.457-458
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• 2019

본 논문에서는 심장 박동 변이 (HRV: heart rate variability) 센서와 표준 기반 사물인터넷 (IoT: Internet of Things) 플랫폼을 활용한 스트레스 측정 시스템을 구현하고 그 활용 방법을 제안한다. HRV를 측정하기 위해 맥파 (PPG)센서와 오픈소스 하드웨어를 이용해 센싱 시스템을 구축하고 표준 사물인터넷 플랫폼을 이용하여 서버 시스템을 구축하였다. 추후 분석을 통해 유추한 스트레스 정도에 따라 플랫폼에 연결된 다양한 기기들을 이용하여 스트레스를 낮추기 위한 개인별 스트레스 관리 솔루션을 구현할 수 있음을 알 수 있다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.579-580
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• 2021

It is representative that utilize the platform embedded by each sensor for gathering data from sensor. However, various platforms have different implementations for different types of sensors, making it difficult to apply them at once. Therefore, in this paper, we propose a web-based data collection platform that can easily gathering and managing various sensing data on one platform.

• Journal of Platform Technology
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• v.9 no.1
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• pp.32-39
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• 2021

Existing environmental measuring devices mainly focus on electromagnetic wave and eco-friendly product certification and durability test, and sensor reliability verification and verification of measurement data are conducted mainly through sensor performance evaluation through type approval and registration, acceptance test, initial calibration, and periodic test. This platform has established an ICT-based environmental monitoring sensor reliability verification system that supports not only performance evaluation for each target sensor, but also a verification system for sensor data reliability. A sensor board to collect sensor data for environmental information was produced, and a sensor and data reliability evaluation and verification service system was standardized. In addition, to evaluate and verify the reliability of sensor data based on ICT, a sensor data platform monitoring prototype using LoRa communication was produced, and the test was conducted in smart cities. To analyze the data received through the system, an optimization algorithm was developed using machine learning. Through this, a sensor big data analysis system is established for reliability verification, and the foundation for an integrated evaluation and verification system is provide.

• Proceedings of the Korean Information Science Society Conference
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• 2004.10c
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• pp.199-201
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• 2004

유비쿼터스 컴퓨팅의 응용분야에서 거시적이고 동적인 개념을 쉽게 구현할 수 있는 플랫폼을 설계하고 구현하였다. 주위 정보를 수집하는 센서들과 이 정보들을 서버에게 보내는 PDA 그리고 여러 지역을 감지하기 위해 이동이 가능하게 하는 이동체 등으로 구성되어 있다. 응용하는 곳에 따라 이동체, 센서, 룰셋 등을 변경할 수 있도록 플랫폼을 설계하였다. 이 논문에서는 이 플랫폼의 H/W의 구성과 S/W의 구성을 살펴보고 이를 응용한 곳에 대해 설명한다. 그리고 향후 개발 방향에 대해 언급한 후 끝을 맺는다.

• Journal of Korean Society of Coastal and Ocean Engineers
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• v.23 no.1
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• pp.26-33
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• 2011

In this study, a high-sensitive smart wireless sensor based on an Imote2 sensor platform is developed for structural health monitoring of harbor structures. To achieve the objective, the following approaches are implemented. Firstly, the smart wireless sensor based on the high-performance Imote2 sensor platform is designed to measure acceleration with high sensitivity from structures. Secondly, embedded software is designed for autonomous structural health monitoring. Finally, the performance of the smart wireless sensor is estimated from experimental tests on a lab-scaled caisson structure.

• Journal of Korea Society of Industrial Information Systems
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• v.15 no.2
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• pp.91-98
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• 2010

This study proposes a monitoring system that effectively watches surroundings by cooperating the various sensor information including image information on a sensor network system. The monitoring system proposed in this paper is developed to watch certain intruders to the internal spaces through the interested region for exceptional time by installing cameras, PIR(Pyroelectric Infrared Ray) sensor and body detectors in such interested regions. Moreover the monitering system is implemented based on the SenWeaver plateform which is a integrated development tools for building wireless sensor network system. In the results of the test that was applied to a practically experimental environment by implementing some interfaces for the proposed system, it was considered that it is possible to watch surroundings effectively using the image information obtained from cameras and multiple sensor information acquisited from sensor nodes.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.06a
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• pp.414-416
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• 2008

본 연구의 목적은 수중의 다양한 공간정보를 무인으로 획득할 수 있는 다목적용 플랫폼을 개발하는데 있다. 다목적용 플랫폼은 GPS, 음향측심기, 사이드스캔소나, 지층탐사기 등을 탑재하고 자동제어에 의한 방법으로 내수면 및 연안의 수중공간정보를 획득하는 기능을 수행한다. 무인 원격 수중 공간정보 획득장비를 개발함으로써, 기존의 측량선을 이용하기가 어려운 저수지, 댐 등의 지역 및 오염으로 인해 사람이 접근하기 불가능한 지역의 각종 수중정보 취득이 가능할 것으로 기대된다. 또한 하나의 플랫폼에 다중 에코사운더, 영상센서, 수질측정 센서 등 사용목적에 맞는 센서의 장착하여 다목적으로 사용할 수 있으므로 내수면과 관련된 정보의 획득을 필요로 하는 거의 모든 산업분야에서의 경제적인 활용이 가능할 것으로 판단된다.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.237-238
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• 2009

u-City 통합 운영 센터의 목적은 다양한 u-City 서비스들의 정보를 수집, 분석, 통합하여 제공함으로써 삶의 질을 높이고 도시를 효율적으로 관리하는 것이다. 이를 위해서 u-City 통합 플랫폼 구축과 기술 표준화를 위한 연구들이 활발히 진행되고 있으며, u-City 통합 플랫폼은 한 서비스에 종속적이지 않은 독립적인 서비스 플랫폼으로서 기존의 u-City서비스를 제공할 수 있으며 자유롭게 확장 될 수 있어야 한다. 따라서 효율적인 통합 플랫폼 구축을 위해서는 기존의 센서 네트워크 시스템 분석이 필요하며 본 논문에서는 이기종의 센서 네트워크 시스템들의 비교 및 분석을 용이하게 하는 지원도구를 설계 및 구현한다.

• Journal of IKEEE
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• v.21 no.3
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• pp.185-194
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• 2017

In this paper, a modular platform for wearable devices is proposed which can be easily assembled by exchanging functions according to various field and environment conditions. The proposed modular platform consists of a 32-bit RISC CPU, a 32-bit symmetric multi-core processor, and a 16-bit DSP. It also includes a plug & play features which can quickly respond to various environments. The sensing and communication modules are connected in the form of a chain. This work is implemented in a standard 130 nm CMOS technology and the proposed modular wearable platforms are verified with temperature and humidity sensors.

• Journal of Advanced Navigation Technology
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• v.19 no.5
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• pp.363-369
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• 2015

This paper describes deployment of a sea based sensor platform for the detection of a submarine launched ballistic missile (SLBM). Recently, North Korea successfully conducted the underwater launching test of the SLBM, which will seriously threaten the global security. To defend these threats successfully, a sensor platform of the ballistic missile defense (BMD) should be deployed in the area of high detection probability of the missile. The maximum detection range characteristics of the typical radar sensor system, however, depend on the radar cross section (RCS) and flight trajectories of the target. In this point of view, this work analyzed the flight trajectories based on the tactics and calculated the RCS of the SLBM. In addition, sea based sensor platform position is proposed from the analysis of the detection time.