• 한국정보통신학회논문지
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• 제4권1호
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• pp.27-33
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• 2000

현재 사회는 고령화와 생활의 질적 향상으로 인해 재택 의료 기술이 필요하게 되었다. 재택 의료가 가능하게 되려면 재택 의료기의 가격이 저렴해야 하며, LAM이나 공중망에 의료기가 직접 접속을 하여 어디서든지 의사가 있는 병원으로 접속이 가능해야 한다. 본 논문에서는 심전도 전처리 과정중 기저선 제거만을 하고 디스플레이 영역을 생략하며, 전력선 잡음 제거를 위해 연산량이 적은 디지털 필터를 적용함으로써 CPU의 부담을 줄일 뿐 아니라 크기를 줄이고 가격을 낮출 수 있고, 남는 CPU의 능력을 LAN(Local Area Network)을 이용한 심전도 데이터 전송에 사용하여 직접 TCP/IP망에 접속할 수 있는 심전도 단말기를 구현하였다.

• Journal of Information Processing Systems
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• 제16권3호
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• pp.733-741
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• 2020

A smart dust monitoring system is useful for obtaining information on rough terrain that is difficult for humans to access. One of ways to deploy sensors to gather information in smart dust environment is to use an aircraft in the Amazon rainforest to scatter an enormous amount of small and cheap sensors (or smart dust devices), or to use an unmanned spacecraft to throw the sensors on the moon's surface. However, scattering an enormous amount of smart dust devices creates the difficulty of managing such devices as they can be scattered into inaccessible areas, and also causes problems such as bottlenecks, device failure, and high/low density of devices. Of the various problems that may occur in the smart dust environment, this paper is focused on solving the bottleneck problem. To address this, we propose and construct a three-layered hierarchical smart dust monitoring system that includes relay dust devices (RDDs). An RDD is a smart dust device with relatively higher computing/communicating power than a normal smart dust device. RDDs play a crucial role in reducing traffic load for the system. To validate the proposed system, we use climate data obtained from authorized portals to compare the system with other systems (i.e., non-hierarchical system and simple hierarchical system). Through this comparison, we determined that the transmission processing time is reduced by 49%-50% compared to other systems, and the maximum number of connectable devices can be increased by 16-32 times without compromising the system's operations.

• 디지털콘텐츠학회 논문지
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• 제4권1호
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• pp.57-66
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• 2003

본 논문에서는 인터넷 기반에서의 3자(환자, 의사, 약사)간의 상호대화형 원격진료 시스템 구현으로서, 효율적인 진료와 빠른 처리를 위한 전자진료차트 및 자료처리에 관한 내용을 제시하고 있다. 즉, 고가형 시스템, 비호환성 등 기존 원격진료시스템의 문제점을 해결한 저가형이면서, 누구나 참여할 수 있는 웹상에서의 시공간을 초월한 on-line 및 off-line 겸용모드의 지능형 원격진료시스템이다. 데이터베이스는 IIS 4.0 웹서버상에서 ASP와 SQL을 연동한 구현하여 효율적인 자료처리를 위한 시스템 통합과 환자와 의사간의 on-line 상담, 그리고 off-line상에서의 진료와 환자가 지정한 약사로의 처방전 전송 및 조제, 그리고 진료데이터의 저장 및 검색으로 인한 반영구적인 진료데이터저장, 환자 및 의사의 본 진료데이터를 이용한 보다 정확한 진료 및 처방등이 가능하다.

• JSTS:Journal of Semiconductor Technology and Science
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• 제15권2호
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• pp.184-193
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• 2015

This paper proposes a cost-efficient and automatic method for large data acquisition from a test chip without expensive equipment to characterize random process variation in an integrated circuit. Our method requires only a test chip, a personal computer, a cheap digital-to-analog converter, a controller and multimeters, and thus large volume measurement can be performed on an office desk at low cost. To demonstrate the proposed method, we designed a test chip with a current model logic driver and an array of 128 current mirrors that mimic the random process variation of the driver's tail current mirror. Using our method, we characterized the random process variation of the driver's voltage due to the random process variation on the driver's tail current mirror from large volume measurement data. The statistical characteristics of the driver's output voltage calculated from the measured data are compared with Monte Carlo simulation. The difference between the measured and the simulated averages and standard deviations are less than 20% showing that we can easily characterize the random process variation at low cost by using our cost-efficient automatic large data acquisition method.

• International journal of advanced smart convergence
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• 제8권4호
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• pp.194-199
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• 2019

As the performance of the system increases, more parallelized data is being processed than single processing of data. Today's cpu structure has been developed to leverage multicore, and hence data processing methods are being developed to enable parallel processing. In recent years desktop cpu has increased multicore, data is growing exponentially, and there is also a growing need for data processing as artificial intelligence develops. This neural network of artificial intelligence consists of a matrix, making it advantageous for parallel processing. This paper aims to speed up the processing of the system by using raspberrypi to implement the cluster building and parallel processing system against the backdrop of the foregoing discussion. Raspberrypi is a credit card-sized single computer made by the raspberrypi Foundation in England, developed for education in schools and developing countries. It is cheap and easy to get the information you need because many people use it. Distributed processing systems should be supported by programs that connected multiple computers in parallel and operate on a built-in system. RaspberryPi is connected to switchhub, each connected raspberrypi communicates using the internal network, and internally implements parallel processing using the Message Passing Interface (MPI). Parallel processing programs can be programmed in python and can also use C or Fortran. The system was tested for parallel processing as a result of multiplying the two-dimensional arrangement of 10000 size by 0.1. Tests have shown a reduction in computational time and that parallelism can be reduced to the maximum number of cores in the system. The systems in this paper are manufactured on a Linux-based single computer and are thought to require testing on systems in different environments.

• 항공우주시스템공학회지
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• 제13권2호
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• pp.19-25
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• 2019

구조물의 충격 위치 검출을 위해 본 연구그룹에서는 압전 페인트 센서를 연구하고 있다. 압전 페인트는 고주파 신호 및 충격에 민감한 특성으로 인하여 충격 감지에 사용할 수 있다. 또한, 압전 페인트 센서는 세라믹 센서가 적용될 수 없는 곡선 또는 복잡한 구조에 코팅될 수 있으며 외부 전원을 필요로 하지 않는다. 충격을 검출하기 위해 모자이크 패턴 전극을 시험편 위에 코팅하였고, 충격 신호는 충격이 발생한 전극부에서 얻을 수 있었다. 보다 더 정확한 충격 위치 검출을 위해서는 전극을 더 많은 부분으로 나누어 해당 전극부로부터 충격 데이터 수집이 필요하다. 본 연구에서는, 데이터 수집을 위하여 가볍고 저렴한 간단한 멀티채널 데이터 수집 시스템을 개발하였다. ARM Cortex-M3의 UART 통신을 이용하여 총 4채널의 데이터를 수집하였다.

• 한국수자원학회:학술대회논문집
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• 한국수자원학회 2022년도 학술발표회
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• pp.145-145
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• 2022

Availability of abundant water resources data in developing countries is a great concern that has hindered the adoption of deep learning techniques (DL) for disaster prevention and mitigation. On the contrary, over the last two decades, a sizeable amount of DL publication in disaster management emanated from developed countries with efficient data management systems. To understand the current state of DL adoption for solving water-related disaster management in developing countries, an extensive bibliometric review coupled with a theory-based analysis of related research documents is conducted from 2003 - 2022 using Web of Science, Scopus, VOSviewer software and PRISMA model. Results show that four major disasters - pluvial / fluvial flooding, land subsidence, drought and snow avalanche are the most prevalent. Also, recurrent flash floods and landslides caused by irregular rainfall pattern, abundant freshwater and mountainous terrains made India the only developing country with an impressive DL adoption rate of 50% publication count, thereby setting the pace for other developing countries. Further analysis indicates that economically-disadvantaged countries will experience a delay in DL implementation based on their Human Development Index (HDI) because DL implementation is capital-intensive. COVID-19 among other factors is identified as a driver of DL. Although, the Long Short Term Model (LSTM) model is the most frequently used, but optimal model performance is not limited to a certain model. Each DL model performs based on defined modelling objectives. Furthermore, effect of input data size shows no clear relationship with model performance while final model deployment in solving disaster problems in real-life scenarios is lacking. Therefore, data augmentation and transfer learning are recommended to solve data management problems. Intensive research, training, innovation, deployment using cheap web-based servers, APIs and nature-based solutions are encouraged to enhance disaster preparedness.

• 한국항행학회논문지
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• 제21권1호
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• pp.113-118
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• 2017

최근 모바일기기 및 네트워크에 대한 관심이 높아짐에 따라 기존의 IP (internet protocol) 망을 이용하여 음성데이터를 전송하는 기술인 VoIP (voice over internet protocol)서비스가 급속히 확산됨에 따라 무선 인터넷망을 활용하여 언제 어디서나 저렴한 음성 통화 서비스가 가능해졌다. 그리고 디지털방송서비스가 보급되면서 방송과 통신의 융합을 통해 광대역케이블망을 이용하는 HFC (hybrid fiber coaxial)망 기술은 기존의 통신시스템 및 망설비를 활용하여 양방향 방송서비스 및 인터넷, 전화 등 다양한 신규 서비스를 제공하고 있다. 따라서 실제 HFC 인터넷서비스망에서 음성데이터의 품질보장을 위해 VoCM에 UGS-AD를 MTA에는 RTPS를 적용하면 실제 상용 HFC 인터넷서비스망에서 문제가 되는 협소한 상향대역에서의 음성데이터 전송을 원활히 수행할 수 있음을 확인하였으며, HFC 인터넷서비스 망에서 음성데이터의 QoS개선을 통해 기존 대비 개선된 VoIP서비스를 구현하는 방안을 제시하였다.

• 대한전자공학회논문지TC
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• 제48권10호
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• pp.35-42
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• 2011

무선 개인영역 네트워크는 저전력소비, 저가, 소형화 등의 장점을 가지고 있어 개인의 휴대장치와 홈 네트워크, 센서 네트워크 등으로 그 응용범위가 커지고 있다. IEEE 802.15.3 표준에서는 point to point 혹은 peer to peer의 UM(Usage Model)을 기본으로 하였지만, 가정이나 회사 내에서 데이터 통신을 요구하는 장치의 수가 증가하면서 point to multipoint의 UM이 제안되었다. 본 논문에서는 point to multipoint의 UM에서 표준에서는 지원되지 않는 multicast-ACK 메시지를 사용함으로써 동일한 데이터를 다수의 디바이스로 전송하는 경우에 Multicast 전송을 하여 전송률을 향상시켰다. Multicast 전송을 하게 되면 multicast-ACK의 증가로 지연시간이 증가되는 문제가 발생하여 이를 해결하기 위하여 CTA구간에서 데이터 전송이 끝나고 채널이 남는 구간에 multicast ACK를 전송하도록 하였다. 제안한 메커니즘을 수학적 분석을 통해 성능을 표준과 비교하였다.

• 한국의류산업학회지
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• 제17권4호
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• pp.597-603
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• 2015

This study investigates the actual domestic and overseas cyclewear wearing conditions for male high school cyclists. The study results provide factors and degree of dissatisfaction as basic data for cyclewear development. This study was conducted on 35 male high school cyclists (freshman to seniors) by a questionnaire and interview method. Study results were: Male high school cyclists considered functionality as most important when they bought cyclewear and the brand they most often bought was a cheap domestic brand. Dissatisfaction with the crotch, thigh circumference and minimum leg circumference was higher than other parts during wearing. A cyclist is more sensitive to wear because they require more lower body motion than other parts. Cyclewear should be: less transformed even by frequent laundering, made of breathable material and use a sewing technique that minimizes air resistance and increases fit the body. Functional pads ergonomically designed with high tactile materials should be developed to prevent 'saddle sore' and groin soreness region that happens because of a lower body bending posture when cycling. A follow-up study is recommended to further develop excellence in cyclewear functionality and dimension suitability for male high school cyclists through the size system.