• Journal of Engineering Education Research
• /
• v.22 no.1
• /
• pp.55-60
• /
• 2019

This paper deals with the process and requirements of a capstone design project performed by undergraduate students. We discuss about the preliminary study for the capstone design, the derivation of a subject, the level descriptor of the subject, and the system requirements. And then, we summarize the results of the capstone design project entitled as Microsoft Azure based IoT (Internet of Things) system which is performed by 4 undergraduate students during 10 months. This system is composed of a Zigbee sensor network, the TCP/IP Internet, an IoT server, and a smartphone application program, with which we can gather the sensor data and control actuators at the far away area.

• Proceedings of the Korea Information Processing Society Conference
• /
• 2010.11a
• /
• pp.1739-1742
• /
• 2010

IT 기술과 바이오 기술의 융합을 통해 경제적, 기술적 측면에서 효과적인 연구 및 개발을 위한 노력들이 증가하고 있다. 이를 위해서는 계산 집약적인 다양한 응용 프로그램들이 서로 유기적으로 통합되어 결과를 도출하도록 관리할 수 있어야 한다. 본 논문에서는 인체 생리기능 단위들을 모사한 신약개발 시뮬레이션을 지원하는 OSICC (e-Organ Simulator-Integrated Cyber Computing) 시스템을 위한 워크플로우 관리자를 제안한다. 제안하는 시스템은 복잡한 약물독성 시뮬레이션을 위해 워크플로우를 이용해 시뮬레이션의 구성과 조합을 효율화하였으며, 프로토타입으로 구현되어 효율적인 시뮬레이션 환경 제공이 가능함을 확인하였다.

• Smart Media Journal
• /
• v.1 no.4
• /
• pp.84-89
• /
• 2012

The purpose of this study is to determine the criteria proposed by the research conducted to a group of life science teachers for the requirement of experience program in life science textbook of high school curriculum. A committee consisting of education experts has developed the research tool for the purpose described above. Research tool covered the degree to the necessity of experience program reflected in the subsection and in the context of the life sciences, and the section should be dealt with in the program. A total of 53 life science teachers responded to the survey conducted in 46 high schools of Dajeon city for a period of 1 month (April, 2012). Subsequent analysis of the investigation identified 15 demanding subsections to be reflected in the experience program including 'gene and life engineering'. Contents that need to be applied to the subsections are 32 items including 'the technology of life engineering and its utilization'.

• Journal of Biomedical Engineering Research
• /
• v.40 no.2
• /
• pp.62-67
• /
• 2019

The purpose of this study was to evaluate the performance of deep neural network model in order to determine whether there is a risk factor for coronary artery disease based on the cardiac variation parameter. The study used unidentifiable 297 data to evaluate the performance of the model. Input data consists of heart rate parameters, which are SDNN (standard deviation of the N-N intervals), PSI (physical stress index), TP (total power), VLF (very low frequency), LF (low frequency), HF (high frequency), RMSSD (root mean square of successive difference) APEN (approximate entropy) and SRD (successive R-R interval difference), the age group and sex. Output data are divided into normal and patient groups, and the patient group consists of those diagnosed with diabetes, high blood pressure, and hyperlipidemia among the various risk factors that can cause coronary artery disease. Based on this, a binary classification model was applied using Deep Neural Network of deep learning techniques to classify normal and patient groups efficiently. To evaluate the effectiveness of the model used in this study, Kernel SVM (support vector machine), one of the classification models in machine learning, was compared and evaluated using same data. The results showed that the accuracy of the proposed deep neural network was train set 91.79% and test set 85.56% and the specificity was 87.04% and the sensitivity was 83.33% from the point of diagnosis. These results suggest that deep learning is more efficient when classifying these medical data because the train set accuracy in the deep neural network was 7.73% higher than the comparative model Kernel SVM.

• Journal of the Korean Society of Manufacturing Process Engineers
• /
• v.18 no.4
• /
• pp.76-86
• /
• 2019

The cross-flow turbine is a key hydraulic power system that is widely due to low costs, high efficiency, and low maintenance. In particular, the cross-flow turbine considered as the most suitable turbine for low head situations as it is known to operate down to 5 m of water head. However, the conventional cross-flow turbine is unsuitable for ultra-low head situations with less than a 3 m water head. In this study, we propose an inverted-type cross-flow turbine to overcome the limitations of conventional cross-flow turbines under ultra-low head situations. First, we described the limitations of conventional turbines and suggested a new turbine for the ultra-low head circumstances. Second, we investigated the performance of the new turbine using CFD analysis. Results demonstrated the effects of the design parameters, such as number of blades and rotor diameter ratio, on the performance of the suggested turbine. As a result, we developed an inverted-type cross-flow turbine with up to 60% efficiency under low water head conditions.

• Journal of Biomedical Engineering Research
• /
• v.43 no.4
• /
• pp.214-218
• /
• 2022

The purpose of this study was to investigate the role of the PMF in the treatment of acidosis and inflammation by monitoring the pH change for the continuity of PMF effect on the blood in the micro-circulation system that mimics the capillaries in the human body. Micro-tubes and micro-channels similar in diameter to those of arteries and arterioles were fabricated using PDMS and connected to a micro-pump for blood circulation. The continuity of PMF effect was verified in a micro-circulation system in-vitro. The pH changes for the circulating blood and for persistence time of PMF stimulus effect were confirmed using the optimized PMF conditions based on the previous studies. Also pH changes were observed by continuously stimulating PMF for a set period of time. The result was observed that the pH of the blood acidified using tBHP continued to rise from immediately after stimulation of PMF to 70 minutes of stimulation, reaching a normal pH range, and then decreasing. Our study showed that PMF has a positive effect on the control of blood pH homeostasis, so it is suggested the possibility of being used as a noninvasive treatment for acidosis treatment and anti- inflammatory treatment.

• Journal of Biomedical Engineering Research
• /
• v.45 no.1
• /
• pp.20-25
• /
• 2024

Extracellular vesicles (EVs) are nano-sized lipid bilayer vesicles released by cells. EVs act as messengers for cell-to-cell communication. Inside, it contains various substances that show biological activity, such as proteins, lipids, nucleic acids, and metabolites. The study of EVs extracted from terrestrial organisms and stem cells on inflammatory environments and tissue regeneration have been actively conducted. However, marine organisms-derived EVs are limited. Therefore, we have extracted EVs from sea urchins belonging to the Echinoderm group with their excellent regenerative ability. First, we extracted extracellular matrix (ECM) from sea urchin gonads treated with hypotonic buffer, followed by collagenase treatment, and filtration to collect ECM-bounded EVs. The size of sea urchin gonad-derived EVs (UGEVs) is about 20-100 nm and has a round shape. The protein content was higher after EVs burst than before, which is evidence that proteins are contained inside. In addition, proteins of various sizes are distributed inside. PKH-26 was combined with UGEVs, which means that UGEVs have a lipid membrane. PHK-26-labeled UGEVs were successfully uptaken by cells. UGEVs can be confirmed to have the same characteristics as traditional EVs. Finally, it was confirmed that Schwann cells were not toxic by increasing proliferation after treatment.

• Journal of Biomedical Engineering Research
• /
• v.42 no.4
• /
• pp.143-149
• /
• 2021

In order to predict and prevent the disease of the abdominal aorta, which is the largest artery in the human body and the most common aneurysm, the normal arterial blood flow operation should be considered. To this end, we are trying to solve problems that may arise in the future by executing FSI based on the data obtained from 4D flow MRI. However, to match the similarity between the 4D flow MRI flow and the FSI flow, correlation was used in previous papers, but the correlation did not show the degree of agreement. Therefore, in this paper, we analyzed the correlation between the 4D flow MRI flow velocity of the human abdominal aorta and the two-way FSI flow velocity in which the three physical properties used for the aortic FSI were added to the CT abdominal aorta 3D model and the interclass correlation coefficient. As a result, the physical property M2 showed the highest similarity in correlation and intraclass correlation coefficient, and this property is intended to be helpful in the future study of the abdominal aortic two-way FSI flow rate.

• Journal of Biomedical Engineering Research
• /
• v.43 no.1
• /
• pp.45-51
• /
• 2022

The purpose of this study is to improve the classification accuracy compared to the existing InceptionV3 model by proposing a new model modified with the fully connected hierarchical structure of InceptionV3, which showed excellent performance in medical image classification. The data used for model training were trained after data augmentation on a total of 1026 chest X-ray images of patients diagnosed with normal heart and Cardiomegaly at Kyungpook National University Hospital. As a result of the experiment, the learning classification accuracy and loss of the InceptionV3 model were 99.57% and 1.42, and the accuracy and loss of the proposed model were 99.81% and 0.92. As a result of the classification performance evaluation for precision, recall, and F1 score of Inception V3, the precision of the normal heart was 78%, the recall rate was 100%, and the F1 score was 88. The classification accuracy for Cardiomegaly was 100%, the recall rate was 78%, and the F1 score was 88. On the other hand, in the case of the proposed model, the accuracy for a normal heart was 100%, the recall rate was 92%, and the F1 score was 96. The classification accuracy for Cardiomegaly was 95%, the recall rate was 100%, and the F1 score was 97. If the chest X-ray image for normal heart and Cardiomegaly can be classified using the model proposed based on the study results, better classification will be possible and the reliability of classification performance will gradually increase.

• Journal of Biomedical Engineering Research
• /
• v.44 no.3
• /
• pp.190-203
• /
• 2023

The purpose of this study is to provide basic data to ensure the safety and essential performance of a Lower Extremity robotic assisted gait training system and to provide advanced technology and technical basis to the industry handling the system. Based on IEC 60601-1:2012/AMD2:2020 (Medical Electrical Equipment - General requirements for basic safety and essential performance of medical electrical equipment), IEC 62366-1:2015/AMD1:2020 (Medical devices - Part 1: Application of usability engineering to medical devices) and EN ISO 14971:2019 (Medical devices - Application of risk management to medical devices), the requirements for ensuring the safety and essential performance of the Lower Extremity robotic assisted gait training system were derived. Through the Delphi survey method and scenario analysis, which reflects the opinions and knowledge of experts in the fields of development, testing and review of technical documents, and quality assurance of medical devices, validity and reliability were conducted and obtained results with adequate content validity ratio (CVR; 0.7≤) and excellent reliability (Cronbach's α; 0.9≤). As a result, it was confirmed that the reliability and validity of the risk management process to ensure the safety and essential performance of the Lower Extremity robotic assisted gait training system are required a model can be established to provide measures to reduce risks according to the level of risk exposure caused by usage.