• Journal of Korea Multimedia Society
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• v.17 no.5
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• pp.640-653
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• 2014

Recently medical consumers pursue high leveled quality of life through active promotion, prevention, management activity of health as the importance of health during home life is emerged to meet the aging society and chronic diseases. In addition, people are directed to the m-Health for managing yourself their health by using smartphone and various personal health devices, if necessary transmits health data to the physician himself. In the previous studies, m-Health Application were developed and applied in the real clinical environment by adopting the medical information standards was rarely conducted. Therefore, in this study, the m-Health application platform was developed. Developed application was communicate with IEEE 11073 standard protocol using the Bluetooth Health Device Profile in personal health device via smart phone to process blood pressure information, and it converted to HL7 V2.6 ORU_R01 message for send to remote medical server. In addition, we tested the interoperability and safety of the developed application for 23 inpatient and 17 outpatient at D University Hospital. As a result, the blood pressure information has been transmitted without error.

• Journal of Environmental Health Sciences
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• v.40 no.2
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• pp.81-87
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• 2014

Objectives: We measured the concentrations of culturable airborne fungi (CAF) in enclosed environments at 16 underground subway stations of the Seoul Metro in 2013, and investigated the effect of environmental factors, including temperature, relative humidity, the number of passengers, and distance from the platform. Methods: The cultured fungi were identified by the lactophenol cotton blue (LPCB) staining method and were classified by observing the form, shape, and color of colony. A nonparametric analysis was used to determine if the differences in the concentrations of CAF were statistically significant. Results: The concentrations of CAF at the stations were the highest in station p ($367CFU/m^3$) with arange between 3 and $437CFU/m^3$. There was a significant correlation between CAF concentration and the distance from platform (r = 0.544, p < 0.01). Geotrichum spp. and Penicillium spp. were the predominant species. Conclusion: It is recommended that special attention be given during rush hour, which is in the morning (08:00-10:00) and in the early evening (18:00-19:00) to improve the indoor air quality of the subway stations.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.11
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• pp.5923-5929
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• 2013

Recently, the retaining wall with the relieving platform has received increasing interests also in Korea in that it can reduce the lateral earth pressure and provide more stability than conventional retaining wall. Previous studies with model tests studies covered only a limited test conditions. In this study, total 15 model tests were performed for various conditions with improved model test apparatus to confirm the effect of decreasing the lateral earth pressure on the retaining wall with the relieving platform. Jumoonjin sand was used for model soil and 2 load cells were used for each 15 layers to measure the lateral earth pressure. Based on the experimental results, the lateral earth pressure of the retaining wall with the relieving platform is less than the that of cantilever wall. The length of the platform and the location of the platform are the key factors influencing the lateral earth pressure.

• Journal of Sensor Science and Technology
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• v.16 no.4
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• pp.247-253
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• 2007

Low power consumption sensor network platform (sensor node) for sensor networking with IEEE 802.15.4 protocol was fabricated. The sensor node used ceramic bar type antenna for increasing RF signal performance and decreasing PCB size occupied by antenna. The communication range of the fabricated sensor node was about $20{\sim}30$ m in open environment with 915 MHz frequency bandwidth and well supported by Tiny OS. The sensor node have good connectivity with various external devices by RS-232, I2C, analogue and digital expansion board, hence, this sensor node can be applied to various applications in wireless sensor network and ubiquitous sensor network.

• Genomics & Informatics
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• v.5 no.2
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• pp.83-87
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• 2007

The analysis of DNA microarray data is a rapidly evolving area of bioinformatics, and various types of microarray are emerging as some of the most exciting technologies for use in biological and clinical research. In recent years, microarray technology has been utilized in various applications such as the profiling of mRNAs, assessment of DNA copy number, genotyping, and detection of methylated sequences. However, the analysis of these heterogeneous microarray platform experiments does not need to be performed separately. Rather, these platforms can be co-analyzed in combination, for cross-validation. There are a number of separate laboratory information management systems (LIMS) that individually address some of the needs for each platform. However, to our knowledge there are no unified LIMS systems capable of organizing all of the information regarding multi-platform microarray experiments, while additionally integrating this information with tools to perform the analysis. In order to address these requirements, we developed a web-based LIMS system that provides an integrated framework for storing and analyzing microarray information generated by the various platforms. This system enables an easy integration of modules that transform, analyze and/or visualize multi-platform microarray data.

• Journal of the Korean Society of Marine Environment & Safety
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• v.19 no.4
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• pp.397-402
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• 2013

In this study, numerical hull form development of a platform supply vessel, a full scale with the overall length of 26.75m, was performed to predict a bare-hull resistance and a large scale of model tests with a 1/10 scaled model were conducted to verify the success of numerical results. Numerical analysis on heave and pitch motion as a function of encounter frequency and ship's speed for the prediction of seakeeping characteristics are also presented. The experiment results of resistance agreed well with numerical analysis. As a result in the motion response characteristics, the heave RAO indicates high values with the range of encounter frequency 1.8~2.0. The Pitch RAO indicates high motion response characteristics at Beaufort scale No. 3 and 4 in rough seas.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.244-247
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• 2016

Internet of Things spotlighted by the recent growth of the country: the interest in (IoT Internet pf Things) is being maximized. According to the scale of the 2013 Machina Research 2022 yireundago IoT market it is predicting about $ 1.2 trillion. Also the number of IoT devices connected simultaneously to the 2020 worldwide reached about 2.1 billion, and is expected to require about 200 million communications link. Many of these devices in order to manage and operate them efficiently IEEE 802.15.4e, D2D, Beacon, supporting protocols such as Zigbee gateway and network Connectivity to the urgent need for a proactive response to M2M -based operating convert it to a standard protocol being. This paper supports a variety of devices with different protocols and propose the design of intelligent Gateway with integrated features to manage operations.

• International Journal of Aeronautical and Space Sciences
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• v.6 no.2
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• pp.64-75
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• 2005

The Stratospheric Airship Platform (SAP) has a capability of performing the autonomous and guidance flight to satisfy given missions. To be used as the High Altitude Platforms (HAPs), the capabilities of controlling platform's accurate position and keeping the station point are the most important features. Under this circumstances Autonomous Flight Control System (AFCS) is a critical system and plays a key role in achieving the given requirements and succeeding in missions. In this paper, the design and analysis results of the AFCS algorithms and controller are presented. The brief summary of the AFCS hardware structure is also explained. The autopilot controller and guidance logics were designed based on the linear dynamics of the unmanned airship platform and the full nonlinear dynamics was considered to evaluate and verify their performances.

• Korean Journal of Remote Sensing
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• v.34 no.2_2
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• pp.393-406
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• 2018

Every year in the ocean, various accidents occur frequently and illegal fishing is rampant. Moreover, their size and frequency are also increasing. In order to reduce losses of life or property caused by these, it is necessary to have a means to perform remote monitoring quickly. As an effective platform of such monitoring means, an Unmanned Aerial Vehicle (UAV) is receiving the spotlight. In these situations where marine accidents or illegal fishing occur, main targets of monitoring are ships. In this study, we propose a UAV based ship monitoring system and suggest a method of determining ship positions using UAV multi-sensory data. In the proposed method, firstly, the position and attitude of individual images are determined by using the pre-performed system calibration results and GPS/INS data obtained at the time when images were acquired. In addition, after the ship being detected automatically or semi-automatically from the individual images, the absolute coordinates of the detected ships are determined. The proposed method was applied to actual data measured at 200 m, 350 m, and 500 m altitude, the ship position can be determined with accuracy of 4.068 m, 8.916 m, and 13.734 m, respectively. According to the minimum standard of a hydrographical survey, the ship positioning results of 200 m and 350 m data satisfy grade S and the results of 500 m data do grade 1a, where the accuracy is required for positioning the coastline and topography less significant to navigation order. Therefore, it is expected that the proposed method can be effectively used for various purposes of marine monitoring or surveying.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.11a
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• pp.1279-1282
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• 2017

현재 사물인터넷(Internet of Things; IoT) 기술을 이용한 스마트홈 환경을 구축하기 위해서는 같은 식별체계를 사용하는 플랫폼 디바이스를 사용해야 한다. 그러나 주요 IoT 플랫폼들은 각각 다른 식별체계를 사용하고 있기 때문에 이종 플랫폼 간 디바이스 식별이 어려운 상황이다. 이종 플랫폼 간 디바이스 식별체계 상호연동에 대한 연구는 진행 중이며 아직까지 해결책은 제시되지 않았다. 따라서 본 논문에서는 주요 IoT 플랫폼인 oneM2M, GS1 Oliot, IBM Watson IoT, OCF IoTivity의 디바이스 식별체계를 분석하고 비교하여 서로 다른 플랫폼 간 디바이스 식별체계에 대한 번역기 또는 해석기의 필요성과 개념모델을 제시한다.