• 대한임베디드공학회논문지
• /
• 제13권4호
• /
• pp.169-178
• /
• 2018

Currently, various sensors have been used for advanced driver assistance systems. In order to overcome the limitations of individual sensors, sensor fusion has recently attracted the attention in the field of intelligence vehicles. Thus, vision and radar based sensor fusion has become a popular concept. The typical method of sensor fusion involves vision sensor that recognizes targets based on ROIs (Regions Of Interest) generated by radar sensors. Especially, because AVM (Around View Monitor) cameras due to their wide-angle lenses have limitations of detection performance over near distance and around the edges of the angle of view, for high performance of sensor fusion using AVM cameras and radar sensors the exact ROI extraction of the radar sensor is very important. In order to resolve this problem, we proposed a sensor fusion scheme based on commercial radar modules of the vendor Delphi. First, we configured multiple radar data logging systems together with AVM cameras. We also designed radar post-processing algorithms to extract the exact ROIs. Finally, using the developed hardware and software platforms, we verified the post-data processing algorithm under indoor and outdoor environments.

• 한국정보처리학회:학술대회논문집
• /
• 한국정보처리학회 2009년도 춘계학술발표대회
• /
• pp.278-281
• /
• 2009

KSTAR(Korea Superconducting Tokamak Advanced Research)는 고성능 플라즈마 연구를 위한 대형 연구실험 장치이다. 이러한 거대 장치에는 많은 시스템이 분산되어 연결되어 있으며 그 구조 역시 매우 복잡하여 시스템간의 인터페이스에 많은 제약과 어려움이 따른다. 이러한 복잡하고 다양한 시스템을 통합하고 여기서 발생하는 여러 종류의 데이터를 획득하기 위해서 KSTAR는 EPICS(Experimental Physics and Industrial Control System)라는 오픈소스 기반의 분산 제어용 미들웨어를 구축하였고 이를 기반으로 KSTAR 통합 제어 시스템을 개발 하였다. 2008년 KSTAR 최초 플라즈마 실험 기간 동안의 운전을 통해 EPICS 미들웨어와 EPICS channel archiver를 이용하여 다양한 24시간 연속 운전데이터를 안정적으로 저장하고 추출할 수 있음을 확인하였다. 논문에서는 시스템의 구축 방법 및 운전결과에 대해 기술하고자 한다.

• BMB Reports
• /
• 제44권4호
• /
• pp.279-284
• /
• 2011

The glutathione S-transferase (GST) system is useful for increasing protein solubility and purifying soluble GST fusion proteins. However, purifying half of the GST fusion proteins is still difficult, because they are virtually insoluble under non-denaturing conditions. To optimize a simple and rapid purification condition for GST-pyruvate kinase muscle 2 (GST-PKM2) protein, we used 1% sarkosyl for lysis and a 1 : 200 ratio of sarkosyl to Triton X-100 (S-T) for purification. We purified the GST-PKM2 protein with a high yield, approximately 5 mg/L culture, which was 33 times higher than that prepared using a conventional method. Notably, the GST-high-temperature requirement A2 (GST-HtrA2) protein, used as a model protein for functional activity, fully maintained its proteolytic activity, even when purified under our S-T condition. This method may be useful to apply to other biologically important proteins that become highly insoluble in the prokaryotic expression system.

• 한국항공우주학회지
• /
• 제48권7호
• /
• pp.513-522
• /
• 2020

본 논문은 PSD와 이종 센서 융합을 이용한 상대 항법 알고리즘에 대해 기술한다. 추종 시스템(Chaser)과 목표 시스템(Target) 간의 상대 항법을 수행하기 위해 하드웨어 시스템을 구축하고 알고리즘을 설계하여 시뮬레이션을 수행하였다. 이를 통해 상대 거리에 따른 오차 발생 경향을 확인하여 이종 센서 융합에 대한 분석을 수행하였다. 이후 구축한 하드웨어 시스템으로 지상 시험 환경을 구성하여 측정값을 획득하고 이를 후처리하여 상대 항법 알고리즘의 성능을 최종적으로 확인하였다.

• Journal of Korean Neurosurgical Society
• /
• 제61권5호
• /
• pp.608-617
• /
• 2018

Objective : This study aimed to investigate the rates, types, and risk factors of surgical site infection (SSI) following spinal surgery using data from a Korean SSI surveillance system that included diagnoses made by surgeons. Methods : This was a prospective observational study of patients who underwent spinal surgeries at 42 hospitals in South Korea from January 2017 to December 2017. The procedures included spinal fusion, laminectomy, discectomy, and corpectomy. Univariate and multivariate logistic regression analyses were performed. Results : Of the 3080 cases included, 30 showed infection, and the overall SSI rate was 1.0% (an incidence of 1.2% in spinal fusion and 0.6% in laminectomy). Deep incisional infections were the most common type of SSIs (46.7%). Gram-positive bacteria caused 80% of the infections, and coagulase-negative staphylococci, including Staphylococcus epidermidis, accounted for 58% of the gram-positive bacteria. A longer preoperative hospital stay was significantly associated with the incidence of SSI after both spinal fusion and laminectomy (p=0.013, p<0.001). A combined operation also was associated with SSI after laminectomy (p=0.032). Conclusion : An SSI surveillance system is important for the accurate analysis of SSI. The incidence of SSI after spinal surgery assessed by a national surveillance system was 1.0%. Additional data collection will be needed in future studies to analyze SSI in spinal surgery.

• International Journal of Internet, Broadcasting and Communication
• /
• 제9권4호
• /
• pp.31-37
• /
• 2017

Recently Drone technology is emerging as an alternative new way of distribution systems services. Amazon, Google which are global network chain distribution companies are developing an idea of Drone based delivery service and applied for patent for Drone distribution systems in USA. In this paper, we investigate a way to adopt Drone system to Air Cargo logistics, in particular, drone system based on combination of Light ID and RFID technology in the management procedure in stock warehouse. Also we explain the expected impact of Drone systems to customs declaration process. In this paper, we address the investigated limitations of Drone by the Korean Aviation Act as well as suggest the directions of future research for application of Drone to Air logistics industry with investigated limitations.

• 대한기계학회논문집 C: 기술과 교육
• /
• 제5권1호
• /
• pp.23-52
• /
• 2017

바이오융합 및 의료기기 산업은 의학과 전기, 전자, 기계, 재료 등 공학이 융합되는 다학제간 응용기술 산업분야이다. 바이오 융합 및 의료기기를 이용해 인간의 삶의 질 향상을 목표로 하고 있으며 제품에 대한 인지도와 브랜드 파워가 매우 중요한 산업이다. 그러나, 자본/기술 의존형 산업으로 제품의 개발부터 생산까지 소요되어지는 기간이 길고 개별 제품의 시장 규모가 작고 수명주기가 짧다고 할 수 있다. 따라서 연구개발에 대한 지속적인 투자가 요구되어지는 산업으로 국가적인 차원에서 바이오벤처 기업들을 위해 기술적 지원, 제도적 뒷받침, 인력 양성 등의 산업생태계 전반을 활성화하고자 하는 노력이 필요하다.

• 전기전자학회논문지
• /
• 제19권2호
• /
• pp.142-147
• /
• 2015

본 논문에서는 자이로 센서와 가속도 센서로부터 얻은 정보를 보정 및 융합하여 자세를 추정하는 칼만 필터 기반 센서 융합 필터의 설계를 제안한다. 최근 센서 네트워크 기술의 발전으로 인해 센터 데이터의 융합 기술이 요구되고 있다. 본 논문에서는 필터의 비선형 시스템 모델을 Jacobian Matrix 연산을 통해 선형 시스템 모델로 변환하며, 오일러 적분을 통해 추정 값을 예측한다. 제안한 필터는 Xilinx 사의 Virtex-6 FPGA Board 를 이용하여 구현하였다. 구현한 필터는 74MHz 동작 주파수로 동작하며, 기존 필터들과 구현한 필터를 비교하여 추정 자세의 정확도 및 신뢰도를 확인하였다.

• 한국측량학회지
• /
• 제39권5호
• /
• pp.289-295
• /
• 2021

Recently, owing to the development of autonomous vehicles, research on precisely determining the position of a moving object has been actively conducted. Previous research mainly used the fusion of GNSS/IMU (Global Positioning System / Inertial Navigation System) and sensors attached to the vehicle through a Kalman filter. However, in recent years, new technologies have been used to determine the location of a moving object owing to the improvement in computing power and the advent of deep learning. Various techniques using RNN (Recurrent Neural Network), LSTM (Long Short-Term Memory), and NARX (Nonlinear Auto-Regressive eXogenous model) exist for such learning-based positioning methods. The purpose of this study is to compare the precision of existing filter-based sensor fusion technology and the NARX-based method in case of GNSS signal blockages using simulation data. When the filter-based sensor integration technology was used, an average horizontal position error of 112.8 m occurred during 60 seconds of GNSS signal outages. The same experiment was performed 100 times using the NARX. Among them, an improvement in precision was confirmed in approximately 20% of the experimental results. The horizontal position accuracy was 22.65 m, which was confirmed to be better than that of the filter-based fusion technique.

• Smart Structures and Systems
• /
• 제31권3호
• /
• pp.301-309
• /
• 2023

Tilt is a key indicator of structural safety. Real-time monitoring of tilt responses helps to evaluate structural condition, enable cost-effective maintenance, and enhance lifetime resilience. This paper presents a prototype wireless sensing system for structural tilt measurement. Long range (LoRa) technology is adopted by the sensing system to offer long-range wireless communication with low power consumption. The sensor integrates a gyroscope and an accelerometer as the sensing module. Although tilt can be estimated from the gyroscope or the accelerometer measurements, these estimates suffer from either drift issue or high noise. To address this challenging issue and obtain more reliable tilt results, two sensor fusion algorithms, the complementary filter and the Kalman filter, are investigated to fully exploit the advantages of both gyroscope and accelerometer measurements. Numerical simulation is carried out to validate and compare the sensor fusion algorithms. Laboratory experiment is conducted on a simply supported beam under moving vehicle load to further investigate the performance of the proposed wireless tilt sensing system.