• Journal of Satellite, Information and Communications
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• v.11 no.4
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• pp.1-9
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• 2016

This paper was studied in two ways with respect to the information received from the video signal separation technique of PPI Scop radar device. The proposed technique consists in generating an image signal through the video signal separation and synthesis, symbol generation, the residual image signal generation process. This technology can greatly improve the operating convenience with improved ease of discrimination, screen readability for the operator in analyzing radar information. The first proposed method was constructed for high-speed FPGA-based information processing systems for high speed operation stability of the system. The second proposed method was implemented intelligent algorithms and a software algorithm function curve associated resources.This was required to meet the constraints on the radar information, analysis system. Existing radar systems have not the frame data analysis unit image. However, this study was designed to image data stored in the frame-by-frame analysis of radar images with express information MPEG4 video. Key research content is to highlight the key observations expresses the target, the object-specific monitoring information to the positive image processing algorithm and the function curve delays. For high-definition video, high-speed to implement data analysis and expressing a variety of information was applied to the ARM Processor Support in Pro ASIC3.

• Polymer(Korea)
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• v.37 no.3
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• pp.276-287
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• 2013

Two kinds of N,O-hydroxypropyl chitosans (HPCTOs) with degree of substitution (DS) and molar substitution (MS) ranging from 2.15 to 2.39 and 2.9 to 4.1, respectively, and five kinds of aliphatic acid esters of HPCTOs (HPCTOAms, m=0,2,4,7,9, the number of methylene units in aliphatic substituent) based on the HPCTOs were synthesized, and the thermotropic liquid crystalline properties of the derivatives were investigated. All the derivatives formed enantiotropic cholesteric phases whose optical pitches (${\lambda}_m$'s) increased with increasing temperature. However, the glass and clearing temperatures, the magnitude of ${\lambda}_m$ of the mesophase at the same temperature, and the temperature dependence of ${\lambda}_m$ of the investigated derivatives highly depended on MS and m. The thermotropic mesophase properties of HPCTOAms were significantly different from those reported for the aliphatic acid esters of hydroxypropyl celluloses. The results indicate that the secondary amino group in the C-2 position plays an important role in the thermal stabilization and temperature dependence of ${\lambda}_m$ of the cholesteric mesophase.

• Korean Journal of Crystallography
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• v.2 no.2
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• pp.13-21
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• 1991

X-ray methods have been used to determine the chain conformation and packing of the thermotropic liquid crystalline copolyester prepared from 50% tarephthaloyl chloride(TPA) and 50% (1-phenylethyl) hydroquinone(PEHQ). The x-ray patterns of annealed melt-spun fibers contain a series of annealed melt-Pointing to a well ordered crystalline structure, despite the random sense(2 or 3-) of the 1-phenylethyl substiuttion on the TPA-hydroquinone backbone. The crystalline fiber is monoclinic with space group P2l and the unit cell has dimensions 11=12.77 A, b=10.17 A (upique axis), c=12.58 h (fiber axis). and β=90.1° and contains TPA-PEHO units of to or chains. The random substitution of 1-phenylethyl groups was modelled by placing these groups at both the 2and 3 positions and giving each a weight of one-hal(. T he structure has been refined by linked a rom least square methods(LALS) against 16 observed and 21 unobserved reflections. and had a final R value of 0.20. Packing of the side chains is effected by staggering adjacent chains along the b axis by approximately c/2, so that the side chains are interleaved. The phenyl-COO and COO-phenyl torsion angles are -6.1 and 65.6, respectively, such that the main chain phenyls are mutually inclined at 59.5 (the ester groups are assumed to be planar). These torsion angles compare very well with those for the model compounds, notably phenylbenzoate, and can be used in future analyses of the structures of more complex random sequence copolyesters.

• Applied Chemistry for Engineering
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• v.29 no.5
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• pp.533-540
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• 2018

Graphene has been reported to be an excellent lubricant additive that reduces friction and wear when coated on the surface of various materials or when dispersed in lubricants as an atomic thin material with the low surface energy. In this study, alkyl functionalized graphene oxide (FGO) nanosheets for oil-based lubricant additives were prepared by using three types of alkyl chloride chemicals (butyl chloride, octyl chloride, and tetradecyl chloride). The chemical and structural properties of the synthesized FGOs were analyzed by Fourier transform infrared (FT-IR), X-ray photoelectron spectroscopy (XPS), X-ray diffraction (XRD), Raman spectroscopy, scanning electron microscope (SEM), and transmission electron microscope (TEM). The synthesized FGOs were dispersed at 0.02 wt% in PAO-0W40 oil and its tribological characteristics were investigated using a high frequency friction/wear tester. The friction coefficient and the wear track width of poly alpha olefin (PAO) oil added with FGO-14 were tested by a ball-on-disk method, and the measured results were reduced by ~5.88 and ~3.8%, respectively compared with those of the conventional PAO oil. Thus, it was found that the wear resistance of PAO oil was improved. In this study, we demonstrated the successful functionalization of GO as well as the improvement of dispersion stability and tribological characteristics of FGOs based on various alkyl chain lengths.

• Korean Journal of Soil Science and Fertilizer
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• v.41 no.4
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• pp.239-246
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• 2008

This research tried to find out the optimum fabrication method of calcined clay granules comprising zeolite. Kaolin clay and natural zeolite powder were used as raw materials of calcined clay, and silica stone powder was used for controlling the porosity of the granules. The granulation was performed with two kinds of granulators: a pan granulator and a high-shear mixer granulator. Various granules were fabricated by the mixing ratios and the rotation speeds of the granulators, and were heated from 400 to $700^{\circ}C$ at $100^{\circ}C$ interval. The crushing strength, pore size distribution, and CEC of the granules were measured. The evaluation method for the resistance of granules to human treading was created and the tests were conducted at dry and wet conditions. The resistance and crushing strength improved in proportion to the rotation speed of the granulator and the heating temperature, but the CEC decreased. The pellet made by the pan granulator did not have the strength against treading upon heating to below $700^{\circ}C$, but the pellet made by the high-shear mixer granulator endured the treading test upon heating to over $500^{\circ}C$

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.10
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• pp.8-15
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• 2020

A forecasting method using deep learning does not have consistent results due to the differences in the characteristics of the dataset, even though they have the same forecasting models and parameters. For example, the forecasting model X optimized with dataset A would not produce the optimized result with another dataset B. The forecasting model with the characteristics of the dataset needs to be optimized to increase the accuracy of the forecasting model. Therefore, this paper proposes novel optimization steps for outlier removal, dataset classification, and a CNN-LSTM-based hyperparameter tuning process to forecast the daily power usage of a university campus based on the hourly interval. The proposing model produces high forecasting accuracy with a 2% of MAPE with a single power input variable. The proposing model can be used in EMS to suggest improved strategies to users and consequently to improve the power efficiency.

• Korean Journal of Materials Research
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• v.10 no.7
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• pp.478-481
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• 2000

Single phase $Pb(Mg_{1/3}Nb_{2/3})O_3$ ceramics doped by 10 mol% of electron donors such as $La^3,\; Pr^{3+,4+},\; Nd^{3+},\; Sm^{3+}$, were synthesized and their B-site cationic ordering structures were investigated by XRD and TEM. In the XRD patterns, only fundamental reflections were observed for the undoped $Pb(Mg_{1/3}Nb_{2/3})O_3$, while the (h/2 $\textsc{k}$/2ι/2)(h,$\textsc{k}$,ι all odd) superlattice reflections resulting from the 1:1 ordering induced unit cell doubling were also observed for the donor-doped $Pb(Mg_{1/3}Nb_{2/3})O_3$. In the TEM selected area diffraction patterns, the (h/2 k/2 l/2)(h,k,l all odd) superlattice reflection spots as well as the fundamental reflection spots were observed for all the samples, but the relative intensities of the superlattice reflection spots to the fundamental reflection spots were significantly enhanced by the donor-doping. In the TEM dark-field images, antiphase boundaries were observed only for the donor-doped $Pb(Mg_{1/3}Nb_{2/3})O_3$. It was therefore experimentally verified that doping by electron donors such as $La^3,\; Pr^{3+,4+},\; Nd^{3+},\; Sm^{3+}$, enhances the B-site cationic 1:1 ordering in $Pb(Mg_{1/3}Nb_{2/3})O_3$. These experimental results were interpreted in terms of the charge compensation mechanism.

• Journal of IKEEE
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• v.24 no.3
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• pp.901-908
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• 2020

This paper describes a method for scalable hardware implementation of modular inversion. The proposed scalable architecture has a one-dimensional array of processing elements (PEs) that perform arithmetic operations in 32-bit word, and its performance and hardware size can be adjusted depending on the number of PEs used. The hardware operation of the scalable processor for modular inversion was verified by implementing it on Spartan-6 FPGA device. As a result of logic synthesis with a 180-nm CMOS standard cells, the operating frequency was estimated to be in the range of 167 to 131 MHz and the gate counts were in the range of 60,000 to 91,000 gate equivalents when the number of PEs was in the range of 1 to 10. When calculating 256-bit modular inverse, the average performance was 18.7 to 118.2 Mbps, depending on the number of PEs in the range of 1 to 10. Since our scalable architecture for computing modular inversion in GF(p) has the trade-off relationship between performance and hardware complexity depending on the number of PEs used, it can be used to efficiently implement modular inversion processor optimized for performance and hardware complexity required by applications.

• Journal of Korean Society of Steel Construction
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• v.9 no.4 s.33
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• pp.579-588
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• 1997

During the construction of cable stayed bridge, errors are always caused by various reasons, accumulated and amplified through the complex construction steps. It is likely that the undesirable stress distribution of members and the large deflection of the bridge different from design values come out The adjustment of cables during construction is absolutely indispensable to correct the stress distribution of the members and the geometrical configuration of the bridge. In the conventional method, weight coefficients are used to consider the difference of units between cable forces and girder deflections during the optimization process of cable adjustment. However, it is not easy to determine weight coefficients and the adjustment must be repeated several times with the time consuming process of the determination of new weight coefficients in case that errors are out of design allowable limits. In this paper, fuzzy linear regression analysis is applied to the cable adjustment to overcome those problems. In the application of fuzzy linear regression analysis method the designer's intention and the design allowable limits can be formulated in the form of the constraints of the linear optimization problem. Therefore, the cable adjustment in construction site can be carried out with the fuzzy linear regression analysis more rapidly than with the convetional method.

• 한국신재생에너지학회:학술대회논문집
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• 2009.11a
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• pp.513-513
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• 2009

최근 바이오디젤의 원료로 미세조류가 많은 관심을 끌고 있다. 미세조류는 물, 이산화탄소와 태양광을 이용해 광합성 성장이 가능하며, 지질(오일) 성분이 풍부하여 바이오디젤의 원료로 이용할 수 있다. 미세조류는 단위 면적당 오일 생산량이 곡물류의 50-100배 이상이며, 이산화탄소를 기질로 이용하므로 온실가스 직접 저감이 가능하다. 또한 배양시 비경작지나 황무지를 사용할 수 있으므로 기존 식용작물과 경쟁하지 않으며, 하수, 해수, 폐수 등 다양한 물자원을 이용할 수 있다. 본 연구에서는 고농도 $CO_2$에 내성을 지닌 Chlorella sp. KR-1을 대상으로 1 L 규모 기포탑 광생물반응기에서 균체 성장 및 지질(바이오오일) 합성에 대한 $CO_2$ 농도, 가스 공급속도, 질산염 농도 등 환경 및 영향 조건의 영향을 조사하였다. 가스 공급속도 0.4 L/min에서 $CO_2$ 농도를 0.03-20% 범위에서 조사하였을 때 최대 균체성장은 $CO_2$ 10%에서 관찰되었다. 균체내 지방산 함량은 $CO_2$ 농도 0.03%에서 가장 낮았고, 5-20% 범위에서는 $CO_2$ 농도 증가에 따라 감소하는 경향이 관찰되었다. 가스 공급속도를 0.2 L/min에서 0.8 L/min으로 증가시켰을 때 최대 균체농도는 0.6-0.8 L/min의 범위에서 관찰되었고, 생체내 최대 지방산 함량은 0.4 L/min에서 관찰되었다. Nitrate 농도 1-20 mM 범위에서 최종 균체농도는 nitrate 농도 증가에 따라 10mM까지 증가하였으나 그 이상에서는 증가하지 않았다. 반면 지방산 함량은 nitrate 농도 증가에 따라 감소하는 경향이 관찰되었다. 본 실험에서 얻은 최대 지방산 생산량은 1,100 mg/L이었으며, 주요 지방산은 C10:0(1.7%), C16:0(28.5%), C18:0(11%), C18:1n9c(25.9%), C18:2n6c(26.3%), C18:3n3(6.6%)이었다. 현재 100 L 규모 광생물반응기에서 석탄발전소 배가스($CO_2$ 12-15%, SOx 50ppm, NOx 100ppm)를 이용한 바이오오일 생산 실험이 진행 중이다.