• 반도체디스플레이기술학회지
• /
• 제18권2호
• /
• pp.87-91
• /
• 2019

In this paper, we have development of horizontal attitude monitoring system for agricultural robots. A two-axis gyro sensor and a two-axis accelerometer sensor are used to measure the horizontal attitude angle. The roll angle and pitch angle were measured through the fusion of the gyro sensor signal and the acceleration sensor signal for the horizontal attitude monitoring of the robot. This attitude monitoring system includes GPS and Bluetooth communication module for remote monitoring. The roll angle and pitch angle can be measured by the error of less than 1 degree and the linearity and the reproducibility of the output signal are excellent.

• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2021년도 추계학술대회
• /
• pp.211-212
• /
• 2021

최근 건강에 대한 관심이 증가하며 다양한 생체정보를 수집할 수 있는 웨어러블 시장이 확대되고 있다. 또한 이러한 생체신호를 통한 원격의료와 헬스케어 서비스가 보편화될 것으로 예상된다. 본 논문에서는 IoT 장비를 통해 수집한 생체신호를 데이터베이스에 저장 및 웹을 통해 실시간 모니터링이 가능한 서비스를 소개한다. 생체 데이터의 수집 및 저장과 실시간 모니터링을 시스템을 구현함으로 다양한 건강관리 진단에 활용될 수 있다.

• 한국정보통신학회논문지
• /
• 제24권1호
• /
• pp.145-148
• /
• 2020

Wearable computing is growing rapidly as research on body area communication network using wireless sensor network technology is actively conducted. In particular, there is an increasing interest in smart clothing measuring unrestrained and insensitive bio signals, and research is being actively conducted. However, research on smart clothing is mainly based on 1: 1 wireless communication. In this paper, we propose a multi-access monitoring system that can measure bio-signals by multiple users wearing smart clothing. The proposed system consists of wireless access device, multiple access control server and monitoring system. It also provides a service that allows multiple users to monitor and measure bio signals at the same time.

• Genomics & Informatics
• /
• 제6권2호
• /
• pp.95-97
• /
• 2008

Many bioinformatics sites have managed local bio-databases, including major databases such as GenBank and PIR with update load. We have developed several programs to monitor the update status of these databases and to FTP them automatically. These programs can be used for maintaining local bio-databases as recent versions and providing up-to-date databases through FTP sites. Currently, the program serves major bio-databases and will extend to accommodate many more bio-databases.

• 반도체디스플레이기술학회지
• /
• 제17권4호
• /
• pp.76-79
• /
• 2018

In this paper, we developed a pressure monitoring system using silicon pressure sensor. The pressure monitoring system was developed on the basis of a microcontroller, and a self-developed silicon pressure sensor was applied. The pressure monitoring system outputs the current pressure value via UART communication. In addition, it includes a function of displaying by LED when the preset three-step pressure (low, medium, high pressure) is reached. The silicon pressure sensor used in the pressure monitoring system was set to 0 kPa, 10 kPa, 26 kPa, and the pressure monitoring system was evaluated because the measured maximum pressure was in the range of 100 kPa.

• 정보처리학회논문지A
• /
• 제17A권1호
• /
• pp.33-44
• /
• 2010

본 논문에서는 생체 모방 로봇을 이용한 관로 모니터링 시스템에 대하여 제안한다. 생체 모방 로봇은 관로를 이동하며 온도, 습도, 진동 등 다양한 정보를 획득한다. 관로를 이동하기 위하여 기본적으로 갖추어야 할 기능은 로봇이 이동하여야 할 관로의 형태를 인식하는 것이다. 관로의 형태 인식을 위한 센서로 적외선 거리 측정 센서를 사용하며, 모터에 연결된 센서는 회전 운동을 하며 측정된 각도 및 거리 정보 데이터를 이용하여 관로의 형태, 각도 등을 인식한다. 관로의 형태 인식은 모터에 의해 회전 운동하는 적외선 거리 측정 센서에 의해 감지되는 관로의 개수와 위치에 의한다. 한번 스캔된 데이터에서 감지되는 관로의 수에 따라 별도의 퍼지 분류기를 이용하여 형태 및 관로의 휘어진 각도 등을 추정하며, 다양한 형태의 관로에 대해 실제 측정된 데이터를 통하여 제안된 시스템이 효율적임을 확인한다.

• 한국인터넷방송통신학회논문지
• /
• 제16권4호
• /
• pp.197-202
• /
• 2016

본 논문에서는 영아 돌연사를 방지하기 위해 영아의 생체신호를 분석하여 위험상황이 발생했을 때 보호자에게 위험신호를 알려주는 영아 돌연사 모니터링 시스템을 제안한다. 영아 돌연사(SID)는 생후 한 달에서 일년 사이의 건강한 아기가 원인불명으로 사망하는 것을 말한다. 제안한 영아 돌연사 모니터링 시스템은 생체신호를 센싱하는 부분과 생체 신호를 처리하는 프로세서부와 모니터링 및 알람부분으로 구성된다. PPG 센서를 사용하여 생체신호를 센싱하고 프로세서부에서는 센서를 통해 획득한 신호를 동잡음을 제거하여 부모에게 알람 및 모니터링 할 수 있게 하였다. 제안한 시스템은 영아의 심박동을 분석하여 위험상황인 경우 보호자에게 모니터링 및 경고 알람을 보내게 된다. 시스템의 실제 구현을 통해 모니터링 시스템의 성능을 평가하였다.

• 전기학회논문지
• /
• 제56권6호
• /
• pp.1170-1176
• /
• 2007

The conventional urodynamic monitoring is fulfilled by artificially filling a bladder with saline. Generally. it is difficult to evaluate the physiological functions of the storage and voiding of a bladder. With this aim, we constructed an ambulatory urodynamic monitoring (AUM) system and proposed a novel method estimating abdominal pressure by measuring bio-impedance variations. Our system was clinically evaluated for 10 patients. It turned out to be that as the intensity of the abdomen contraction increased, the amplitude of bio-impedance signal and the RMS value of EMG increased more as compared to those who observed during the rest mode. Also, we determined the optimum electrode pair for estimating the abdominal pressure using bio-impedance method and consequently compared with the conventional methods. Because impedance changes differ from a weight, a height, contractile force, volume of muscle and blood other or whatever of individuals, it was quantified in terms of impedance change, correlation coefficient and SNR Our results showed the optimum electrode pair (1,9) which could detect impedance changes due to the increase of the intensity in the abdominal pressure. The correlation coefficient and quadratic function between the RMS values of EMG and the impedance changes were 0.87 and $y=0.0014x^2+0.0620x+0.6958$, respectively. Thus, our system demonstrated that the abdominal pressure could be measured noninvasively and conveniently by simply estimating bio-impedance values. We propose that this optimum electrode configuration would be useful for the future studies involving the handy measurements of abdominal pressure with our suggested ambulatory urodynamics monitoring system.

• 한국농공학회논문집
• /
• 제65권1호
• /
• pp.73-81
• /
• 2023

To understand salinity status of fresh water and paddy soils and the susceptibility of rice to salinity stress of Gunnae reclaimed tidelands, salinity monitoring was conducted in rainy and dry seasons. For fresh water, a high salinity was observed at the sampling location near the sluice gate and decreased with distance from the gate. This spatial pattern of fresh water salinity indicates the necessity of spatial distribution of salinity in the assessment of salinity status of fresh water. Interestingly, there was significant correlation between rainfall amount and salinity, implying that salinity of fresh water varies with rainfall and thus it may be possible to predict salinity of water using rainfall. Soil salinity also higher near the gate, reflecting the influence of high saline water. In addition, the groundwater salinity also high to threat rice growth. Though soil salinity status indicated low possibility of sodium injury, there was changes in soil salinity status during the course of rice growth, suggesting that more intensive monitoring of soil salinity may be necessary for soil salinity assessment. Our study suggests the necessity of intensive salinity monitoring to understand the spatio-temporal variations of salinity of water and soil of reclaimed tideland areas.

• 한국멀티미디어학회논문지
• /
• 제19권5호
• /
• pp.808-817
• /
• 2016

Recently, the wearable computing technology with bio-sensors has been rapidly developed and utilized in various areas such as personal health, care-giving for senior citizens who live alone, and sports activities. In particular, the wearable computing equipment to measure vital signs by means of digital yarns and bio sensors is noticeable. The wearable computing devices help users monitor and manage their health in their daily lives through the customized healthcare service. In this paper, we suggest a system for monitoring and analyzing vital signs utilizing smart healthcare clothing with bio-sensors. Vital signs that can be continuously acquired from the clothing is well-known as unstructured data. The amount of data is huge, and they are perceived as the big data. Vital sings are stored by Hadoop Distributed File System(HDFS), and one can build data warehouse for analyzing them in HDFS. We provide health monitoring system based on vital sings that are acquired by biosensors in smart healthcare clothing. We implemented a big data platform which provides health monitoring service to visualize and monitor clinical information and physical activities performed by the users.