• 한국전기전자재료학회:학술대회논문집
• /
• 한국전기전자재료학회 2001년도 추계학술대회 논문집 Vol.14 No.1
• /
• pp.288-291
• /
• 2001

It is very important to select suspension solution for forming electrophoretic deposited YBCO thick mm, because it is heavily affected to its superconducting properties. In this paper, high-temperature superconductor films of $YBa_{2}Cu_{3}O_{7-x}$ were fabricated by electrophoretic deposition (EPD) from alcohol-based suspension such as iso-propanol, iso-butanol, and their mixture. For the formation of YBCO dense and adherent coating on a silver wire by EPD, 1 % PEG(1000) 2 ml, as a additive for making their surface crack-free, was used for electrophoresis. As a results, the cracks were considerably decreased and the superconducting critical current density $(J_e)$ without/with PEG was $1200A/cm^2$ and $2020A/cm^2$, which films deposited in mix iso-propanol and iso-butanol suspension.

• Journal of Communications and Networks
• /
• 제9권1호
• /
• pp.1-10
• /
• 2007

This paper proposes a multimodal generalized Gaussian distribution (MGGD) to effectively model the varying statistical properties of the extrinsic information. A subsidiary maximum likelihood decoding (MLD) algorithm is subsequently developed to dynamically select the most suitable MGGD parameters to be used in the component maximum a posteriori (MAP) decoders at each decoding iteration to derive the more reliable metrics performance enhancement. Simulation results show that, for a wide range of block lengths, the proposed approach can enhance the overall turbo decoding performance for both parallel and serially concatenated codes in additive white Gaussian noise (AWGN), Rician, and Rayleigh fading channels.

• 한국지능시스템학회논문지
• /
• 제8권3호
• /
• pp.16-25
• /
• 1998

본 논문에서는 초 다중 밴드 환경의 효과적인 데이터 분류를 위해서 Roungh 집합 이론을 이용한 특징 추출 방법을 제안한다. 다중 분광 이미지 데이터의 특성을 분석하고, 그 분석 결과를 토대로 Rough집합이론의 식별 능력을 이용하여 가장 효과적인 밴드를 선택할 수 있도록 한다. 실험으로는 Landsat TM으로부터 취득한 데이터에 적용시켰으며, 이를 통해 전통적인 밴드 특성에 의한 밴드 선택 방법과 본 논문에서 제안하는 러프 집합 이론을 이용한 밴드 선택 방법이 일치됨을 보이고 이를 통해 초다중 밴드 환경에서의 특징 추출에 대한 이론적 근거를 제시한다.

• 한국연초학회지
• /
• 제6권2호
• /
• pp.179-184
• /
• 1984

This experiment was carried out to select the suitable burley varieties for paddy field. Two varieties, two $F_1$ hybrids and three $F_1$ hybrids with pale yellow line which were all early maturing were tested in the paddy field condition. The results were as follows. 1. Va 528 and all $F_1$ hybrids flowered 4-8 days earlier than Burley 21. 2. Leaf maturity among varieties and $F_1$ hybrids were not significantly different at first priming, but significant differences were detected from second to forth primings. (MS Ky 12x JB 7802-30)Fl and (MS Br 21 x L8)$F_1$ hybrids matured 3-5 days earlier than Burley 21. Pale yellow hyorids matured early, yielded high and were favorable in physical properties, but were low in quality. 4. Va 528 and (MS Br 21 x L8) $F_1$ hybrid showed earthy maturing, high yield and good quality compared with Burley 21. So two varieties were considered suitable for paddy field cultivation.

• 한국농공학회논문집
• /
• 제52권3호
• /
• pp.105-111
• /
• 2010

It is very important to select carefully backfill materials and build for the structural integrity of abutment in bridge. In general, backfill materials of unbound crushed stones (SB-1) are used to provide the safety of abutment structure and to reduce differential settlement around abutment that is significantly related with performance of road pavement under working conditions. In this study, to evaluate the compatibility of backfill materials at abutment and to develop the abutment design program, i) basic properties of subgrade soils in Korea, ii) evaluation of deformational characteristics of backfill materials from RC/TS tests, cyclic TX tests and Creep tests were accomplished.

• Communications for Statistical Applications and Methods
• /
• 제22권2호
• /
• pp.147-157
• /
• 2015

We consider a sparse high-dimensional linear regression model. Penalized methods using LASSO or non-convex penalties have been widely used for variable selection and estimation in high-dimensional regression models. In penalized regression, the selection and prediction performances depend on which penalty function is used. For example, it is known that LASSO has a good prediction performance but tends to select more variables than necessary. In this paper, we propose an additive sparse penalty for variable selection using a combination of LASSO and minimax concave penalties (MCP). The proposed penalty is designed for good properties of both LASSO and MCP.We develop an efficient algorithm to compute the proposed estimator by combining a concave convex procedure and coordinate descent algorithm. Numerical studies show that the proposed method has better selection and prediction performances compared to other penalized methods.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제2권2호
• /
• pp.82-102
• /
• 2008

Packet losses tend to occur during short error bursts separated by long periods of relatively error-free transmission. There is also a significant spatial correlation in loss among the receiver nodes in a multicast session. To recover packet transmission errors at the transport layer, tree-based protocols construct a logical tree for error recovery before data transmission is started. The current tree construction scheme does not scale well because it overloads the sender node. We propose a scalable recovery tree construction scheme considering these properties. Unlike the existing tree construction schemes, our scheme distributes some tasks normally handled by the sender node to specific nodes acting as repair node distributors. It also allows receiver nodes to adaptively re-select their repair node when they experience unacceptable error recovery delay. Simulation results show that our scheme constructs the logical tree with reduced message and time overhead. Our analysis also indicates that it provides fast error recovery, since it can reduce the number of additional retransmissions from its upstream repair nodes or sender node.

• 한국건축시공학회:학술대회논문집
• /
• 한국건축시공학회 2006년도 춘계학술논문 발표대회 제6권1호
• /
• pp.49-52
• /
• 2006

Epoxy resin has less reaction shrinkage, has better water proofing and thermal resistance than other repairing materials, to it has been applied broadly to repair and finish buildings and infrastructures. Although the ambient temperature constructed is varied with the seasons and epoxy resin has to mix with appropriate hardener due to the non self-hardening, as the real construction of it, the ambient temperature is ignored and the blending ration of epoxy resin and hardener is fixed. Also, because of the hardening time is aimed to temperature condition and the tolerance of blending ratio, we investigated the variation of viscosity according to ambient temperatures and hardener ratios. As a results of study, we can select the economical blending ratio of the epoxy resin and hardener according to site situation.

• 한국신뢰성학회지:신뢰성응용연구
• /
• 제9권4호
• /
• pp.319-329
• /
• 2009

The airbag module is an inflatable restraint system that inflates within 0.05 seconds automatically in a collision to protect the occupants. The airbag fabrics used in the module are required to have the good resilience and strength and also to have retained at least 80% of mechanical properties after using longer than 10 years. In this study, we develop an accelerated test method in order to predict the lifetimes of airbag. In this test, we select temperature and humidity as environmental stresses by analyzing the failure mechanisms of coated and uncoated nylon 66 fabrics. It is found that the degradation of airbag fabrics is effectively accelerated under the combined conditions of high temperature and humidity. Analyzing the results of the accelerated test, the lifetimes of airbag fabrics are predicted to be longer than 10 years.

• 한국화재소방학회논문지
• /
• 제6권2호
• /
• pp.33-39
• /
• 1992

This work presents an expert system for the classification of a given substance and thus enabling one to select the proper container in consultation with the computer. The system consists of 34 rules and uses Micro Expert as a shell program based on backward chaining method. The prototype system will have to be under extensive test. However, its use is bound to have advantages over conventional methods, e.g. looking up in a reference book or using conventional programs with a database. Since the expert system determines the group of the given substance not by its name but by its physical and chemical properties, it is not necessary to add data items even for newly synthesized substances. The system also provides reasoning for its determination and therefore it can be used as a good package for the training of unskilled operators.