• 한국작물학회지
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• 제40권1호
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• pp.103-112
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• 1995

아프리카 벼에 있어서 벼알과 소피경 사이에 형성되는 이층조직의 특이성에 따라, '부분이층', '불규칙이층' 및 '완전이층'의 품종을 각각 2품종씩 공시하여 유수형성 이후 유수와 영화의 신장에 따른 이층조직의 형성 및 발달과정을 해부형태학적으로 관찰하였다. 또한 출수후 수확기까지 등숙과정에 있어서 탈립성정도의 변화와 이층조직과의 관계에 대하여 검토하였다. 아프리카 벼의 유수와 영화는 출수전 15일 이후 급격한 신장을 보여 출수전 5일 경에는 출수기와 거의 동일한 길이로 신장되었다. 출수전 15일 경에는 작은 유조직세포로 구성된 이층조직의 형성부위를 인정할 수 있었는데, 부분이층의 외영쪽에는 이층조직의 형성부위를 인정할 수 없었고, 불규칙이층의 외영쪽에는 부분적으로 집단화되어 있는 소형의 유조직세포들을 관찰할 수 있었다. 출수전 10일경 이층조직 주변의 세포들은 세포벽이 식후하고 목화되어 1-2층의 유조직세포로된 이층조직을 더욱 뚜렷하게 구분할 수 있었는데, '부분이층'의 외영쪽에는 후벽조직속에 1-2개의 유조직세포가 혼재되어 있었고, '불규칙이층'의 외영쪽에는 불규칙하게 집단화된 유조직세포를 관찰할 수 있었다. 아프리카 벼에 있어서는 출수후 2주째 벼알의 등숙이 수확기와 거의 비슷하게 진전되었는데, 이때 이층구조의 붕괴현상 관찰할 수 있었으며, 또한 벼알과 소피경 사이의 인장강도도 수확기와 동일하게 저하하였다.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2002년도 추계학술대회 논문집 전기물성,응용부문
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• pp.147-149
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• 2002

Recently, the study on development of electrical and electronic device is done to set miniature, high degrees of integration and efficiency by using inorganic materials the study of Langmuir-Boldgett(LB) method that uses organic materials because of the limitation for the ultrasmall size. The structure of MIM(Metal-Insulator-Metal) device is Cr-Au/PBLG/ Al. the number of accumulated layers are 1, 3, 5, 7, 9. The I-V characteristic of the device is measured from 0[V] to 2[V] and the characteristic of current-time of the devices. We have investigated the capacitance because PBLG system have a accumulated layers the maximum value of measured current is increased as the number of accumulated layers are decreased. The capacitor properties of a thin film is better as the distance between electrodes is smaller. The results have shown the insulating materials and could control the conductivity by accumulated layers.

• 한국의류학회지
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• 제11권1호
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• pp.21-28
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• 1987

Since the air permeabilities are closely connected with clothing hygiene, air permeabilities required to optimize dressing were studied and measured the air permeabilities that take air layers among fabrics into account. The thickness of air layers were controlled from 3mm to 24mm, and the numbers of air layers were made from one layer to three layers. The samples used were selected in casual wears in spring and autumn. The results obtained are as follows; 1. Specific air permeabilities of superimposed fabrics decreased gradually according to the increase of superimposed number. 2. Specific air permeabilities of the same kind of fabrics increased at first and later decreased by the increase of intervals when the fabrics are superimposed at regular intervals, and those of the different kind of fabrics decreased. 3. Specific air permeabilities of the different kind of fabrics decreased to the 18mm of total thickness in air layers and increased later.

• 한국가구학회지
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• 제20권4호
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• pp.281-289
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• 2009

This research examined the technical feasibility of composite that had two layers of fiberglass reinforcement to enhance the load carrying capacity of lumber. Specimens were prepared from standard lumber made of thinning crop trees such as Larix kaempferi, Pinus koraiensis, and P. rigida. Results indicated that bending properties, hardness, and wood screw withdrawal load of low density lumber from the P. koraiensis increased as the number of layers of fiberglass reinforcement increased. Composite produced by VARTM method showed the MOE increased in all specimens, while the MOR differed on the location, whether the 2-layers of FRP is put on tensile zone or compressive zone. The MOR of high density lumber from Larix kaempferi and P. rigida decreased when they placed into tensile zone, but low density lumber from P. koraiensis increased in same location. The bending toughness only increased high density lumber of Larix kaempferi as the number of layers of fiberglass reinforcement increased. The technique developed by this study may increase an opportunity to use small diameter log with low density for commercial purposes.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 2000년도 하계학술대회 논문집
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• pp.913-919
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• 2000

We give pressure stimulation into long chain fatty acid of LB thin films then manufacture a device under the accumulation condition that the state surface pressure is 20[mN/m]. In processing of a device manufacture, we can see the process is good from the change of a surface pressure for organic thin films and transfer ratio of area per molecule. The structure of manufactured device is Au/Arachidic acid/Al, the number of accumulated layers are 13, 17 and 19. The I-V characteristic of the device is measured from 0[V] to +1.5[V]. We have investigated the capacitance because this fatty acid system have a accumulated layers. The maximum value of measured current is increased as the number of accumulated layers are decreased. The capacitor properties of a thin film is better as the distance between electrodes is smaller. The results have shown the insulating materials and could control the conductivity by accumulated layers.

• 한국재료학회:학술대회논문집
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• 한국재료학회 2003년도 춘계학술발표강연 및 논문개요집
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• pp.18-18
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• 2003

Natural clays are composed of oxide layers whose thickness is about 1nm and cations existing between the layers. A number of these layers makes primary particles with a height of about 8∼10nm and these primary particles make aggregates with a size of about 0.1∼10$\mu\textrm{m}$. When layered silicate was made to be organophilic, by exchanging the interlayer cations with organic cationic molecules, the matrix polymer can penetrate between the layers to give a nanocomposite, where 1nm-scal clay layers exist separately in a continuous polymer matrix. These nanostructured hybrid organic-inorganic composites have attracted the great interest of researchers over the last 10 years. They exhibit improved performance properties compared with conventional composites, because their unique phase morphology by layer intercalation or exfoliation maximizes interfacial contact between the organic and inorganic phases and enhances interfacial properties. Since the advent of nylon-6/montmorillonite nanocomposite developed by Toyota Motor Co., the studies on layered silicate-polymer nanocomposites have been successfully extended to other polymer systems. They greatly improved the thermal, mechanical, barrier, and even the flame-retardant properties of the polymers.

• 한국지반공학회:학술대회논문집
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• 한국지반공학회 2003년도 봄 학술발표회 논문집
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• pp.827-832
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• 2003

This study presented the reinforcing effect of sands by using newly devised 3D Tirecell. Plate loading tests for sand were conducted for different relative density and number of reinforced layers. From the tests, the ultimate bearing capacity of reinforced sand increased with increasing relative densities. The effect of reinforced layers with 0.4B interval is limited to 2 layers and further reinforcing effects can not be obtained beyond 3 layers. Especially the bearing capacity increased remarkably at 1 layer of Tirecell reinforcement and the degree of increase was small for 1 layer to 2 layers increase of reinforcement. Test results show that the reinforcing effect of Tirecell is prominent compared with commercial geocell in the literature.

• 한국전기전자재료학회:학술대회논문집
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• 한국전기전자재료학회 1998년도 추계학술대회 논문집
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• pp.73-76
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• 1998

We give pressure stimulation into organic thin films and detect the induced displacement current. then manufacture a device under the accumulation condition that the state surface pressure is 15[mN/m]. In processing of a device manufacture. We can see the process is good from the change of a surface pressure for organic thin films and transfer ratio of area per molecule. The structure of manufactured device is Au/organic thin films(polyimide)/Au, the number of accumulated layers are 31,35, and 41. I-V characteristic of the device is measured from 0[V] to +5[V]. The maximum value of measured current is increased as the number of accumulated layers are decreased. The resistance for the number of accumulated layers, the energy density for an input voltage show desired results, and the insulation of a thin film is better as the interval between electrodes is larger.

• Ocean Systems Engineering
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• 제8권4호
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• pp.409-426
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• 2018

This paper presents the strengthening of tubular joint by wrapping Carbon fiber reinforced polymer (CFRP) and glass fiber reinforced polymer (GFRP). In this study, total number of layers, stacking sequence and length of wrapping are the different parameters involved when fiber reinforced polymers (FRP) composites are used for strengthening. For this, parameters where varied and results were compared with the reference joint. The best stacking sequence was identified which has the highest value in ultimate load with lesser deflections. For determining the best stacking sequence, numerical investigation was performed on CFRP composites; length of wrapping and number of layers were fixed. Later, the studies were focused on CFRP and GFRP strengthened joint by varying the total number of layers and length of wrapping. An attempt was done to propose a parametric equation from multiple regression analysis, which can be used for CFRP strengthened joints. Hashin failure criteria was used to check the failure of composites. Results revealed that FRP was having a greater influence in the load bearing capacity of joints, and in reducing the deflections and stresses of joint under axial compressive loads. It was also seen that, CFRP was far better than GFRP in reducing the stresses and deflection.

• 한국공간구조학회논문집
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• 제18권4호
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• pp.69-80
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• 2018

In this study, an algorithm applying deep learning to the truss structures was proposed. Deep learning is a method of raising the accuracy of machine learning by creating a neural networks in a computer. Neural networks consist of input layers, hidden layers and output layers. Numerous studies have focused on the introduction of neural networks and performed under limited examples and conditions, but this study focused on two- and three-dimensional truss structures to prove the effectiveness of algorithms. and the training phase was divided into training model based on the dataset size and epochs. At these case, a specific data value was selected and the error rate was shown by comparing the actual data value with the predicted value, and the error rate decreases as the data set and the number of hidden layers increases. In consequence, it showed that it is possible to predict the result quickly and accurately without using a numerical analysis program when applying the deep learning technique to the field of structural analysis.