• Korean Journal of Food Science and Technology
• /
• v.19 no.4
• /
• pp.305-310
• /
• 1987

Whole soybean and soy flour were stored under two humidifies (65% and 85% RH) at $25^{\circ}C$ for 90 days to investigate the oxidation of total lipids. It was found that acid value and peroxide value of total lipids extracted from whole soybean and soy flour increased in proportion with the storage period. The change was more pronounced for soy flour stored at 85% RH. The increase of acid value and peroxide value was retarded by using the OPP/Al/PE film as packing material and the change of fatty acid was also reduced for whole soybean and soy flour. As for the change of fatty acid composition, polyunsaturated fatty acids such as linoleic and linolenic acid decreased while saturated fatty acid content increased in proportion with the storage period.

• Korean Journal of Remote Sensing
• /
• v.23 no.6
• /
• pp.501-506
• /
• 2007

Basic research is conducted to identify a target using corner reflectors which are commonly used in calibration of synthetic aperture radar (SAR) systems. At first, an omni-directional reflector is fabricated by combining four 15-cm rectangular trihedral corner reflectors. Then, its radar cross section (RCS) characteristics are measured at C-band (5.3 GHz) for vv-, hh-, hv-, and vh- polarizations at a range of horizontal angle, $-90^{\circ}{\le}{\phi}{\le}90^{\circ}$. The measured RCS angular variation of the omni-directional reflector is much smaller for vv-polarization than other polarizations, and the difference between the maximum and minimum RCSs for vv-polarization is about 8 dB. Peak RCS values are shown at $0^{\circ}$ (normal to plates) and $45^{\circ}$ (direction of bore sight). It is shown that the measurements agree quite well with numerical simulation and theoretical computation results.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
• /
• 2016.10a
• /
• pp.239-242
• /
• 2016

In recent years, Unmanned Aerial Vehicles (UAV) have been developed for both military and civilian activities in regions where the presence of onboard human pilots is risky or not necessary. However, UAV require a high demand of power to achieve its missions such as taking images/videos in a certain area or surveillance activities. Therefore, this situation triggers the need of techniques to reduce power consumption for UAV to complete its mission safely. One of the methods is to use a waypoint optimization procedure which deals with a pre-specified set of waypoints to find a minimum route to fly through those waypoints in order to reduce power consumption. In this paper, due to the UAV's multidisciplinary which makes it impossible to be represented as an analytical model, we design a simulation model of UAV using MATLAB Simulink and AeroSim Blockset, an analysis package in aerospace industry. The simulation model is then coupled with optimization algorithms along with a set of waypoints (flight path) in order to measure at which percentage power consumption can be minimized for UAV.

• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.21 no.1
• /
• pp.61-68
• /
• 2021

In the past, radars have been classified into fire control radars, detection radars, tracking radars, and image acquisition radars according to the characteristics of the mission. However, multi-function radars perform various tasks within a single system, such as target detection, tracking, identification friend or foe, jammer detection and response. Therefore, efficient resource management is essential to operate multi-function radars with limited resources. In particular, the target threat for tracking the detected target and the method of selecting the tracking cycle based on this is an important issue. If focus on tracking a threat target, Radar can't efficiently manage the targets detected in other areas, and if you focus on detection, tracking performance may decrease. Therefore, effective scheduling is essential. In this paper, we propose the TaP (Time and Priority) algorithm, which is a multi-functional radar scheduling scheme, and a software design method to construct it.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.25 no.2
• /
• pp.187-192
• /
• 2021

This study proposes a system for take-off in a forest or similar complex environment using an object detector. In the simulator, a raspberry pi is mounted on a quadcopter with a length of 550mm between motors on a diagonal line, and the experiment is conducted based on edge computing. As for the images to be used for learning, about 150 images of 640⁎480 size were obtained by selecting three points inside Kunsan University, and then converting them to black and white, and pre-processing the binarization by placing a boundary value of 127. After that, we trained the SSD_Inception model. In the simulation, as a result of the experiment of taking off the drone through the model trained with the verification image as an input, a trajectory similar to the takeoff was drawn using the label.

• KOREAN JOURNAL OF CROP SCIENCE
• /
• v.33 no.4
• /
• pp.400-403
• /
• 1988

This study was conducted to evaluate the polishing process that affects the polishing properties and cooking qualities of cut-polished barley. Naked barley, Youngsanbori (Sedohadaka), which was produced in Cheonnam province, Korea in 1981, was cut and polished to have the polished yield per cent of four grades, 68.27, 72.85, 75.51 and 78.70, in contrast to the conventionally polished barley which was polished up to 70.10 per cent. Length. thickness and width of the kernels and weight of 1,000 kernels of the cut-polished barley were increased with improving the grade of the polishing yield. Energy consumption was found to be reduced according to increasing the polishing yield of the cut-polished barley. As polishing yield of the cut-polished barley were increased. the contents of P$_2$O$\_$5/, K$_2$O, MgO and Mn were increased. Also whiteness, water uptake and expanding volume of cooked barley were increased in accordance with upgrading the polishing yield of the cut-polished barley.

• Proceedings of the Korea Water Resources Association Conference
• /
• 2021.06a
• /
• pp.229-229
• /
• 2021

최근 이상기상으로 국지성 집중호우가 빈번하게 발생함에 따라 토사유출에 의해 피해가 증가하고 있다. 급경사 사면을 갖는 교란산지와 개발지의 경사면은 토양침식 위험에 노출되어 있다. 특히 지표유출수의 집중흐름에 의한 세류발달은 세류간침식에 비해 많은 토양침식과 토사유출을 발생시킨다. 이러한 급경사 사면에서의 세류발달에 대한 수리학적 메터니즘과 한계조건을 파악하고자 강우와 유입수 모의를 통한 토양침식 실험을 수행하였다. 강우와 유입수의 상호작용에 의한 세류발달의 특성과 토사유출량 증가를 파악하고자, 강우량의 증가와 유입수 유무에 따른 실험이 이루어졌다. 강우강도의 범위는 100~140mm/hr이고, 유입수는 170ml/s 이였다. 유입수량은 합리식으로 계산하였으며, 토양상자 상단에서 균등분사식으로 유입되었다. 세류발달의 수리학적 특성치를 취득하기 파악하기 위해, 염료주입 지표수 거동에 대한 동영상을 판독하였다. 세류발달은 유입수가 없는 경우 3분 이내 그리고 유입수가 있는 경우 30초 이내에 발생하였다. 토양상자내의 평균 유속범위는 7.83~29.27 cm/s 이였다. 실험에서 발달된 세류는 15분경과 후부터 평형상태를 유지하였다. 경사실험조건별로 세류 차수분석을 위해 각 세류의 최대길이, 폭, 넓이를 측정한 결과 세류의 차수는 강우만 있는 경우 1~2차로 발달하였으며, 유입수가 있을 때는 2~3차로 발달하였다. 지표유출이 증가하면서 세류발달의 개수는 줄었지만 규모는 더 크게 나타났다. 세류가 발달하는 시점의 한계유속은 10~20cm/s 범위인 것으로 파악되었다. 지표유출이 증가하면서 세류의 발달도 더 심화되지만, 동일한 강우에 일정시간동안 노출되면서 세류는 평형상태가 되어 더 이상 침식이 활발하게 진행되지는 않았다. 유입수가 있는 조건에서 수량은 약 2배가 증가하였지만, 토사유출량은 세류확장에 의해 약 4배가 증가하는 것으로 나타났다.

• Journal of Digestive Cancer Research
• /
• v.1 no.2
• /
• pp.108-110
• /
• 2013

The relationship between malignancy and venous thromboembolism(VTE) has been well established. About 20% of all VTE cases are associated with cancer and thrombotic events are the second leading cause of death in cancer patients after death from cancer itself. Effective prophylaxis and treatment will reduce morbidity and may decrease overall mortality. We report a case of VTE in a patient with advanced gastric cancer who treated with low-molecular weighted heparin (LMWH). A 49-year-old man with heartburn was admitted to our hospital. On the endoscopic and radiologic imaging, the patient was diagnosed as an advanced gastric cancer with perigastric infiltration and liver metastasis. During the combination chemotherapy, he had pain and swelling of left lower leg. Doppler ultrasonography showed left posterior tibial venous thrombosis and pulmonary embolism CT showed thromboembolism in subsegmental pulmonary artery branch in right lower lobe. He was treated with LMWH, Dalteparin once daily via subcutaneous injection, and his symptoms was subsided.

• Journal of Korea Society of Industrial Information Systems
• /
• v.28 no.6
• /
• pp.29-43
• /
• 2023

Consumers should look at the ingredients of cosmetics or food for their health and purchase them after checking whether they contain allergy-causing ingredients. Therefore, this paper aimed to develop an artificial intelligence-based smartphone application for automatically recognizing the ingredients displayed on a curved container and delivering it to consumers in an easy-to-understand manner. The app needs to allow consumers to immediately comprehend the restricted ingredients by recognizing the ingredients' words in the cropped image. Two major issues should be solved during the development process: First, although there were flat containers for cosmetics or food, most were curved containers. Thus, it was necessary to recognize the ingredient table displayed on the curved containers. Second, since the ingredients' words were displayed on the curved surface, the transformed or line-changed words also needed to be recognized. The proposed new methods were enough to solve the above two problems. The application developed through various tests verified that there was no problem recognizing the ingredients' words contained in a cylindrical curved container.

• Composites Research
• /
• v.37 no.1
• /
• pp.40-45
• /
• 2024

In this research, we introduce a novel approach that employs a 3D convolutional neural network (CNN) model to predict the permeability of Gas Diffusion Layers (GDLs). For training the model, we create an artificial dataset of GDL representative volume elements (RVEs) by extracting morphological characteristics from actual GDL images obtained through X-ray tomography. These morphological attributes involve statistical distributions of porosity, fiber orientation, and diameter. Subsequently, a permeability analysis using the Lattice Boltzmann Method (LBM) is conducted on a collection of 10,800 RVEs. The 3D CNN model, trained on this artificial dataset, well predicts the permeability of actual GDLs.