• 조명전기설비학회논문지
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• 제24권1호
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• pp.78-84
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• 2010

단상유도전동기의 효율을 높이기 위한 강화 코일형(RC형)을 개발하여 기존의 코일과 비교하였을 때, 코일의 길이, 굵기, 종류 등이 같은 동일조건에서 전류를 흘려 자속을 발생시키는 코일은 (1) 전체자속발생량이 증가하고, (2) 자속의 공간분포가 정현파에 가깝고, (3) 자속흐름이 고유방향성을 유지할 때, 코일을 내장한 시스템의 성능이 개선된다. 강화코일(RC: Reinforced Coil)은 코일의 원래영역을 갖는 바깥코일(OC: Outer Coil)과 중앙부위 자속을 강화하기 위한 안쪽코일(IC: Inner Coil)을 매턴마다 양방향으로 원점대칭이 되도록 결합함으로써 정현근접성은 물론 영역친근성을 높여 고유방향성을 동시에 구현할 수 있다. 따라서 강화코일형(RC형)은 코일 좌우의 자속량과 중앙부위의 자속량이 정현파에 가깝도록 순수 바깥코일(OC)과 강화코일(RC)의 적정 턴수를 직렬 연결함으로써 얻어진다. 강화코일을 단상유도전동기에 적용하여 효율을 높일 수 있는 유용성에 대한 것을 실험을 통하여 확인하였다.

• 한국운동역학회지
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• 제19권3호
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• pp.603-610
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• 2009

본 연구의 목적은 드롭 착지 동작 시 탄성 섬유 바지 착용이 충격력과 근육 활동에 어떠한 영향을 미치는가를 분석하는데 있다. 10명의 피험자를 대상으로 7쌍의 표면전극을 대퇴직근, 내측광근, 외측광근, 대퇴이두근, 전경골근, 내측비복근, 외측비복근에 부착하고 탄성 바지와 일반 바지를 무작위로 착용한 상태로 플랫폼에서 드롭 랜딩하였고 각 변인에 대해 대응표본 t-검증을 실시하여 통계적 유의차를 밝혔다(p< .05). 착지 구간 동안 전경골근, 대퇴이두근, 내측비복근의 평균적분 근전도치가 일반바지 착용 시 유의하게 감소되었다. 대퇴직근을 제외한 모든 근육에서 최대적분 근전도가 탄성바지 착용 집단이 높게 나타났다. 탄성바지 착용 시 신체 하지분절의 감속과 안정을 유지하기 위한 근육 동원 능력이 높아져 이러한 현상이 발생되어진 것으로 사료된다. 탄성바지 착용이 충격력과 부하율의 감소에 통계적으로 유의한 결과를 발생시키지 못하였다. 본 연구에서 사용된 탄성바지는 피험자의 하지 둘레에 적합하게 제작되어진 바지가 아니기 때문에 탄성과 압축력이 이상적으로 발생되지 못한 것으로 판단된다.

• Applied Microscopy
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• 제26권1호
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• pp.17-31
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• 1996

검은과부거미의 독 분비장치는 두흉부에 있는 가위턱과 한쌍의 독선으로 이루어져 있다. 독선은 한겹의 얇은 장막과 횡문근 섬유의 다발에 의해 둘러싸여 있었고. 근육층을 따라서 운동신경의 축삭 돌기와 근섬유 사이에 신경근육간 연접이 형성되어 있었다. 분비상피를 이루는 단층 원주상피세포에는 복잡한 수지상의 돌기가 형성되었고, 독선 전체가 단포상선을 이루고 있음이 관찰되었다. 상피의 분비면은 기저막으로부터 선의 내강쪽으로 확장된 세포질 돌기에 의해 표면적이 현저히 증가되었고, 상피의 내강면에는 조밀한 미세융모가 형성되어 있었다. 독성 분비물은 상피세포 내에서 두 종류의 분비과립으로부터 생성되었다. 분비기동안 이들 분비과립은 과적의 형태로 변형, 농축된 후, 이출분비의 형태로 내강으로 방출되었다. 방출 후의 기저부 상피세포들은 고도의 증식과정을 거쳐 원주상의 상피세포로 재생됨이 확인되었다.

• 대한물리의학회지
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• 제17권4호
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• pp.45-52
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• 2022

PURPOSE: This study examined the center of pressure (COP) and ground reaction force (GRF) characteristics during each task-oriented sit-to-stand in stroke patients. METHODS: Twenty stroke subjects were included in this study. The task consisted of sit-to-stand (SS), sit-to-stand for reaching (SR), and sit-to-stand for walking (SW). The response time, COP, and GRF were measured during each task. The COP and GRF data were obtained using a two-force plate. The force plates were placed on a chair (below the buttock) and floor (below the feet). RESULTS: Significant differences were observed between SS (1.48 ± .48 s) and SR (2.09 ± 0.82 s) and between SS and SW (2.27 ± .72 s) in the preparatory phase time during each sit-to-stand exercise (p = .002) and showed significant differences between SS (13.90 ± 6.44 cm) and SW (34.62 ± 39.38 cm) and between SR (16.14 ± 8.04 cm) and SW in the mediolateral COP range during each sit-to-stand exercise (p = .013). CONCLUSION: These findings suggest that more complex task-oriented sit-to-stand exercise requires a high-level motor programming process than a simple sit-to-stand task. Therefore, a variety of tasks-oriented sit-to-stand exercises will be useful training to achieve better ADL ability for stroke patients.

• 전기학회논문지
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• 제67권1호
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• pp.114-123
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• 2018

This paper concerns a design and learning method of softmax function neural networks based on K-means clustering. The partial discharge data Information is preliminarily processed through simulation using an Epoxy Mica Coupling sensor and an internal Phase Resolved Partial Discharge Analysis algorithm. The obtained information is processed according to the characteristics of the pattern using a Motor Insulation Monitoring System program. At this time, the processed data are total 4 types that void discharge, corona discharge, surface discharge and slot discharge. The partial discharge data with high dimensional input variables are secondarily processed by principal component analysis method and reduced with keeping the characteristics of pattern as low dimensional input variables. And therefore, the pattern classifier processing speed exhibits improved effects. In addition, in the process of extracting the partial discharge data through the MIMS program, the magnitude of amplitude is divided into the maximum value and the average value, and two pattern characteristics are set and compared and analyzed. In the first half of the proposed partial discharge pattern classifier, the input and hidden layers are classified by using the K-means clustering method and the output of the hidden layer is obtained. In the latter part, the cross entropy error function is used for parameter learning between the hidden layer and the output layer. The final output layer is output as a normalized probability value between 0 and 1 using the softmax function. The advantage of using the softmax function is that it allows access and application of multiple class problems and stochastic interpretation. First of all, there is an advantage that one output value affects the remaining output value and its accompanying learning is accelerated. Also, to solve the overfitting problem, L2-normalization is applied. To prove the superiority of the proposed pattern classifier, we compare and analyze the classification rate with conventional radial basis function neural networks.

• 한국추진공학회:학술대회논문집
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• 한국추진공학회 2011년도 제36회 춘계학술대회논문집
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• pp.1-2
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• 2011

Hybrid rockets have lately attracted attention as a strong candidate of small, low cost, safe and reliable launch vehicles. A significant topic is that the first commercially sponsored space ship, SpaceShipOne vehicle chose a hybrid rocket. The main factors for the choice were safety of operation, system cost, quick turnaround, and thrust termination. In Japan, five universities including Hokkaido University and three private companies organized "Hybrid Rocket Research Group" from 1998 to 2002. Their main purpose was to downsize the cost and scale of rocket experiments. In 2002, UNISEC (University Space Engineering Consortium) and HASTIC (Hokkaido Aerospace Science and Technology Incubation Center) took over the educational and R&D rocket activities respectively and the research group dissolved. In 2008, JAXA/ISAS and eleven universities formed "Hybrid Rocket Research Working Group" as a subcommittee of the Steering Committee for Space Engineering in ISAS. Their goal is to demonstrate technical feasibility of lowcost and high frequency launches of nano/micro satellites into sun-synchronous orbits. Hybrid rockets use a combination of solid and liquid propellants. Usually the fuel is in a solid phase. A serious problem of hybrid rockets is the low regression rate of the solid fuel. In single port hybrids the low regression rate below 1 mm/s causes large L/D exceeding a hundred and small fuel loading ratio falling below 0.3. Multi-port hybrids are a typical solution to solve this problem. However, this solution is not the mainstream in Japan. Another approach is to use high regression rate fuels. For example, a fuel regression rate of 4 mm/s decreases L/D to around 10 and increases the loading ratio to around 0.75. Liquefying fuels such as paraffins are strong candidates for high regression fuels and subject of active research in Japan too. Nakagawa et al. in Tokai University employed EVA (Ethylene Vinyl Acetate) to modify viscosity of paraffin based fuels and investigated the effect of viscosity on regression rates. Wada et al. in Akita University employed LTP (Low melting ThermoPlastic) as another candidate of liquefying fuels and demonstrated high regression rates comparable to paraffin fuels. Hori et al. in JAXA/ISAS employed glycidylazide-poly(ethylene glycol) (GAP-PEG) copolymers as high regression rate fuels and modified the combustion characteristics by changing the PEG mixing ratio. Regression rate improvement by changing internal ballistics is another stream of research. The author proposed a new fuel configuration named "CAMUI" in 1998. CAMUI comes from an abbreviation of "cascaded multistage impinging-jet" meaning the distinctive flow field. A CAMUI type fuel grain consists of several cylindrical fuel blocks with two ports in axial direction. The port alignment shifts 90 degrees with each other to make jets out of ports impinge on the upstream end face of the downstream fuel block, resulting in intense heat transfer to the fuel. Yuasa et al. in Tokyo Metropolitan University employed swirling injection method and improved regression rates more than three times higher. However, regression rate distribution along the axis is not uniform due to the decay of the swirl strength. Aso et al. in Kyushu University employed multi-swirl injection to solve this problem. Combinations of swirling injection and paraffin based fuel have been tried and some results show very high regression rates exceeding ten times of conventional one. High fuel regression rates by new fuel, new internal ballistics, or combination of them require faster fuel-oxidizer mixing to maintain combustion efficiency. Nakagawa et al. succeeded to improve combustion efficiency of a paraffin-based fuel from 77% to 96% by a baffle plate. Another effective approach some researchers are trying is to use an aft-chamber to increase residence time. Better understanding of the new flow fields is necessary to reveal basic mechanisms of regression enhancement. Yuasa et al. visualized the combustion field in a swirling injection type motor. Nakagawa et al. observed boundary layer combustion of wax-based fuels. To understand detailed flow structures in swirling flow type hybrids, Sawada et al. (Tohoku Univ.), Teramoto et al. (Univ. of Tokyo), Shimada et al. (ISAS), and Tsuboi et al. (Kyushu Inst. Tech.) are trying to simulate the flow field numerically. Main challenges are turbulent reaction, stiffness due to low Mach number flow, fuel regression model, and other non-steady phenomena. Oshima et al. in Hokkaido University simulated CAMUI type flow fields and discussed correspondence relation between regression distribution of a burning surface and the vortex structure over the surface.