Development of High Energy Particle Detector for the Study of Space Radiation Storm

Gyeong-Bok Jo,Jongdae Sohn,Cheong Rim Choi,Yu Yi,Kyoung-Wook Min,Suk-Bin Kang,Go Woon Na,Goo-Hwan Shin 한국우주과학회 2014 Journal of Astronomy and Space Sciences Vol.31 No.3

Next Generation Small Satellite-1 (NEXTSat-1) is scheduled to launch in 2017 and Instruments for the Study of Space Storm (ISSS) is planned to be onboard the NEXTSat-1. High Energy Particle Detector (HEPD) is one of the equipment comprising ISSS and the main objective of HEPD is to measure the high energy particles streaming into the Earth radiation belt during the event of a space storm, especially, electrons and protons, to obtain the flux information of those particles. For the design of HEPD, the Geometrical Factor was calculated to be 0.05 to be consistent with the targets of measurement and the structure of telescope with field of view of 33.4º was designed using this factor. In order to decide the thickness of the detector sensor and the classification of the detection channels, a simulation was performed using GEANT4. Based on the simulation results, two silicon detectors with 1 mm thickness were selected and the aluminum foil of 0.05 mm is placed right in front of the silicon detectors to shield low energy particles. The detection channels are divided into an electron channel and two proton channels based on the measured LET of the particle. If the measured LET is less than 0.8 MeV, the particle belongs to the electron channel, otherwise it belongs to proton channels. HEPD is installed in the direction of 0º,45º,90º against the along-track of a satellite to enable the efficient measurement of high energy particles. HEPD detects electrons with the energy of 0.1 MeV to several MeV and protons with the energy of more than a few MeV. Thus, the study on the dynamic mechanism of these particles in the Earth radiation belt will be performed.

Development of High Energy Particle Detector for the Study of Space Radiation Storm

Jo, Gyeong-Bok,Sohn, Jongdae,Choi, Cheong Rim,Yi, Yu,Min, Kyoung-Wook,Kang, Suk-Bin,Na, Go Woon,Shin, Goo-Hwan The Korean Space Science Society 2014 Journal of Astronomy and Space Sciences Vol.31 No.3

Next Generation Small Satellite-1 (NEXTSat-1) is scheduled to launch in 2017 and Instruments for the Study of Space Storm (ISSS) is planned to be onboard the NEXTSat-1. High Energy Particle Detector (HEPD) is one of the equipment comprising ISSS and the main objective of HEPD is to measure the high energy particles streaming into the Earth radiation belt during the event of a space storm, especially, electrons and protons, to obtain the flux information of those particles. For the design of HEPD, the Geometrical Factor was calculated to be 0.05 to be consistent with the targets of measurement and the structure of telescope with field of view of $33.4^{\circ}$ was designed using this factor. In order to decide the thickness of the detector sensor and the classification of the detection channels, a simulation was performed using GEANT4. Based on the simulation results, two silicon detectors with 1 mm thickness were selected and the aluminum foil of 0.05 mm is placed right in front of the silicon detectors to shield low energy particles. The detection channels are divided into an electron channel and two proton channels based on the measured LET of the particle. If the measured LET is less than 0.8 MeV, the particle belongs to the electron channel, otherwise it belongs to proton channels. HEPD is installed in the direction of $0^{\circ}$, $45^{\circ}$, $90^{\circ}$ against the along-track of a satellite to enable the efficient measurement of high energy particles. HEPD detects electrons with the energy of 0.1 MeV to several MeV and protons with the energy of more than a few MeV. Thus, the study on the dynamic mechanism of these particles in the Earth radiation belt will be performed.

류마티스 관절염 마우스 모델에서 뼈 손상 및 염증에 대한 Sphingosine-1 phosphate의 역할에 관한 연구

곽한복(Han Bok Kwak),권덕수(Deok-Su Kwon),장성조(Sung-Jo Jang),최은영(Eun-Yong Choi),이은경(Eun-Gyeong Lee),박병현(Byoung Hyun Park),김현대(Hyun Dai Kim),서필승(Phil-Seung Seo),김정중(Jeong-Joong Kim),최민규(Min-Kyu Choi),조해중(Hae 대한해부학회 2007 Anatomy & Cell Biology Vol.40 No.4

Sphingosine-1 phosphate (S1P)는 sphingolipid의 대사산물로 생체내에서 세포의 증식, 분화, 이동 및 혈관신생 등 여러 중요한 역할을 수행하고 있다. 그러나 S1P가 이렇게 중요한 역할을 수행하고 있음에도 불구하고 관절염에서의 역할에 대해서는 거의 알려진 바가 없다. 따라서 본 연구는 콜라겐으로 유도된 관절염 모델(collagen induced arthritis, CIA)에서 S1P의 역할을 규명하기 위하여 수행하였다. DBA/1J 쥐의 꼬리에 콜라겐을 피하 주사하여 관절염을 유도하였다. CIA 쥐에서 S1P의 효과를 분석하기 위하여 S1P를 관절염 유도 첫날부터 42일까지 복강에 2일마다 주사하여 관절염이 유발되는 상황을 관찰하였다. 관절염의 유발 정도는 육안으로 평가되었고 관절 염증의 진행정도와 뼈의 손상정도는 관절의 병리조직학적 검사와 CT 및 micro-radiography 등의 방사선적 검사를 통하여 관찰하였다. 또한 관절염의 병리과정에 중요한 역할을 하는 TNF-α, IL-6, RANKL 등 염증유도 및 골 파괴 매개물질들의 발현은 면역조직화학검사를 통하여 분석하였다. DBA/1J 생쥐의 꼬리에 콜라겐을 피하 주사하였을 때 무릎관절과 발목관절에 부종이 발생하면서 관절염이 유도되었다. 반면 S1P를 처리한 군에서는 CIA군에 비해 관절염의 유발 빈도 및 염증을 비롯한 관절의 손상 정도가 현저히 억제되었다. 관절의 조직학적인 소견 및 방사선적 소견에서도 콜라겐에 의한 세포의 침윤, 활막의 비후, 연골과 골의 미란 및 파괴등이 S1P 처리에 의하여 개선되었고 골의 손실도 현저히 억제되었다. 또한 콜라겐에 의하여 류마티스성 관절염에서 중요한 역할을 하는 TNF-α, IL-6, RANKL 등의 염증 매개물질들의 발현이 CIA군에서 증가한 반면 S1P를 처리한 군에서는 억제되었다. 더욱이 S1P는 골수세포가 RANKL에 의하여 파골세포로 분화되는 것을 현저히 억제하였다. 결론적으로 S1P가 CIA의 병리과정에서 발현되는 염증 및 골 파괴 매개 물질의 발현을 억제하여 염증 및 골 손상을 억제하는 것으로 생각되었고, 이는 S1P가 류마티스 관절염의 치료에 고려되어야 할 물질중의 하나임을 제시한다. Sphingosine 1-phosphate (S1P) is a bioactive lipid molecule that mediates cell proliferation, differentiation, migration, and angiogenesis in vivo. However, the roles of S1P on pathogenesis of arthritis have been not completely understood. This study was designed to determine the effects of S1P modulation on collageninduced arthritis (CIA) model. DBA/1J mice were injected with collagen into the tail for induction of CIA model. S1P was administered into the peritoneal cavity every other days from day 1 to day 42 after collagen injection. To determine the degree of damage in CIA, we examined macroscopic findings of CIA. The inflammation and bone destruction of CIA mice were evaluated by histo-patholigy and radiography (CT and microradiography). The expressions of TNF-α, IL-6, and RANKL which have important roles in pathogenesis of rheumatoid arthritis and bone destruction were observed by immuno-histochemical staining. After injection with collagen in the DBA/1J mice, CIA was induced by swelling in the knee and ankle joint. Administration of S1P suppressed damages and incidence of arthritis elicited by collagen. In histologic and radiographic studies, S1P strongly suppressed the infiltration of inflammatory cells, the swelling of synovial membrane, erosion, and the destruction of bone on CIA mice. Injection of S1P resulted in down-regulation of the expression of the pro-inflammatory and bone destruction mediators such as TNF-α, IL-6, and RANKL on CIA mice. Furthermore, S1P suppressed the differentiation of bone marrow cells into osteoclasts by RANKL. In conclusion, this study suggest that S1P has protective effects on inflammation and bone destruction during pathogenesis of CIA, which indicates S1P can be a new possible therapeutic strategy for rheumatoid arthritis

Effect of Water Supply on the Sunburn Incidence of Persimmon Fruit

Ye-Seul Jo,Sang-Jin Yang,Gyeong-Bok Ma 한국원예학회 2022 한국원예학회 학술발표요지 Vol.2022 No.5

중증장애인 거주시설 종사자의 감성지능과 조직헌신과의 관계

김미경 ( Mi Gyeong Kim ),조만복 ( Man Bok Jo ),장창호 ( Chang Ho Jang ) 한국노인의료복지학회 2014 노인의료복지연구 Vol.6 No.1

This study alms to analyze the effects of the emotional quotient of care workers in residential facilities for the seriously handicapped on their commitment to the organizations. A multi regression analysis was conducted to verify the factors influencing commitment to the organizations after controlling general characteristics as independent variables, and commitment to the organizations as a dependent variable. The multi regression analysis led to the fact that the higher was the score in the factors of understanding their own emotion, understanding the emotion of others, and emotional utilization, the more committed they were to their organizations. Out of controlled characteristic variables of the subjects, gender, age and satisfaction with their economic life were found to have a significant influence on their commitment to the organizations.

Effect of Shade Net on the Sunburn Incidence of Persimmon Fruit

Ye-Seul Jo,Sang-Jin Yang,Gyeong-Bok Ma 한국원예학회 2022 한국원예학회 학술발표요지 Vol.2022 No.5

참조표를 이용한 재파지 계획기

조경래,이종원,김문상,송재복,Jo, Gyeong-Rae,Lee, Jong-Won,Kim, Mun-Sang,Song, Jae-Bok 대한기계학회 2000 大韓機械學會論文集A Vol.24 No.4

A pick-and-place operation in 3-dimensional environment is basic operation for human and multi-purpose manipulators. However, there may be a difficult problem for such manipulators. Especially, if the object cannot be moved with a single grasp, regrasping, which can be a time-consuming process, should be carried out. Regrasping, given initial and final pose of the target object, is a construction of sequential transition of object poses that are compatible with two poses in the point of grasp configuration. This paper presents a novel approach for solving regrasp problem. The approach consists of a preprocessing and a planning stage. Preprocessing, which is done only once for a given robot, generates a look-up table which has information of kinematically feasible task space of end-effector through all the workspace. Then, using the table planning automatically determines possible intermediate location, pose and regrasp sequence leading from the pick-up to put-down grasp. Experiments show that the presented is complete in the total workspace. The regrasp planner was combined with existing path.

Similarity based Deep Neural Networks

Seungyeon Lee,Eunji Jo,Sangheum Hwang,Gyeong Bok Jung,Dohyun Kim 한국지능시스템학회 2021 INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGE Vol.21 No.3

Deep neural networks (DNNs) have recently attracted attention in various areas. Their hierarchical architecture is used to model complex nonlinear relationships in high-dimensional data. DNNs generally require large numbers of data to train millions of parameters. However, the training of a DNN with a small number of high-dimensional data can result in an overfitting. To alleviate this problem, we propose a similarity-based DNN that can effectively reduce the dimensionality of the data. The proposed method utilizes a kernel function to calculate pairwise similarities of observations as input, and the nonlinearity based on the similarities is then explored using a DNN. Experiment results show that the proposed method performs effectively regardless of the dataset used, implying that it can be applied as an alternative when learning a small number of high-dimensional data.

The Anatomical Differences of the Pericarp Tissue in ‘Meadowlark’ and ‘Springhigh’ Blueberry

Byulhana Lee,Hye-Gyoung Yoo,Gyeong-Bok Ma,Ye-Seul Jo,Sung-Sik Hong 한국원예학회 2022 한국원예학회 학술발표요지 Vol.2022 No.11

The Anatomical Differences of the Pericarp Tissue in ‘Meadowlark’ and ‘Springhigh’ Blueberry

Byulhana Lee,Hye-Gyoung Yoo,Gyeong-Bok Ma,Ye-Seul Jo,Sung-Sik Hong 한국원예학회 2022 한국원예학회 학술발표요지 Vol.2022 No.11