• Journal of the Korea Institute of Building Construction
• /
• v.11 no.3
• /
• pp.238-246
• /
• 2011

Choosing the best-performance materials is a crucial task for the successful completion of a project in the construction field. In general, the process of material selection is performed through the use of information by a highly experienced expert and the purchasing agent, without the assistance of logical decision-making techniques. For this reason, the construction field has considered various artificial intelligence (AI) techniques to support decision systems as their own selection method. This study proposes the application of a systematic and efficient support vector machine (SVM) model to select optimal exterior materials. The dataset of the study is 120 completed construction projects in South Korea. A total of 8 input determinants were identified and verified from the literature review and interviews with experts. Using data classification and normalization, these 120 sets were divided into 3 groups, and then 5 binary classification models were constructed in a one-against-all (OAA) multi classification method. The SVM model, based on the kernel radical basis function, yielded a prediction accuracy rate of 87.5%. This study indicates that the SVM model appears to be feasible as a decision support system for selecting an optimal construction method.

• Asian-Australasian Journal of Animal Sciences
• /
• v.15 no.1
• /
• pp.38-44
• /
• 2002

Nine crossbred castrated lambs fitted with rumen and duodenum cannula and fed a diet of hay and concentrate formulated with ground corn and soybean meal as main ingredients were used to assess the duodenal ideal amino acid pattern. Three synthetic amino acid mixtures with different profile of essential amino acids were duodenally infused in order to get three different amino acid patterns flowing into the duodenum. The mixtures were designed to have similar amino acid profile as rumen microbial protein (Pm), casein (Pc) and modified muscle amino acid (Pmm). Results showed a lower urine nitrogen excretion (p=0.05), a higher nitrogen retention (p=0.04) and bodyweight gain with treatment Pmm. The modified muscle amino acid pattern also promoted a lower ratio of Gly to other amino acids in plasma (Gly/OAA) and a higher RNA and RNA/DNA concentration in the liver of the sheep. Meanwhile, the urea concentration in plasma was reduced and the insulin concentration was increased with Pmm treatment. No differences in glucose and growth hormone concentration in plasma were found among three treatments. All results obtained indicate that the modified muscle amino acid pattern (Lys 100%, Met+Cys 39%, Thr 76%, His 41%, Arg 72%, Leu 158%, Ile 81%, Val 105%, Phe 81% and Trp 13%) was the best for growing sheep.

• Journal of KIISE:Software and Applications
• /
• v.27 no.12
• /
• pp.1183-1192
• /
• 2000

기존의 휴대정보단말 사용자는 단말 소프트웨어의 특성 상 웹을 통해 게시되는 소프트웨어 정보를 계속해서 모니터링하고, 필요한 소프트웨어를 직접 단말에 다운로딩하는 단순 반복 작업을 계속해야 한다. 이는 컴퓨터 비전문가인 일반 사용자가 활용하기에는 어려운 점이 있으며, 뿐만 아니라, 단말기에 익숙한 사용자에게도 새로운 소프트웨어 정보를 계속해서 모니터링하여 획득 및 활용하기에는 많은 오보헤드가 필연적으로 따르게 된다. 본 논문에서는 사용자가 별도의 추가 작업을 하지 않아도 늘 가장 최신의 소프트웨어가 자신의 단말에 자동으로 업그레이드 되고, 관심 있는 응용 소프트웨어가 릴리즈 될 때 마다 실시간으로 이 정보를 알려주고 사용자가 원한다면, 자동으로 설치 작업까지 해서 곧바로 소프트웨어를 이용할 수 있다록 하는 ‘에이전트 기반의 유대정보단말용 소트프웨어 자동 설치 시스템’에 관하여 기술한다. 본 시스템은 유동적인 웹 환경과 다양한 휴대정보단말을 고려하여 실행시간(Runtime)에도 새로운 기능 추가가 가능하며, 동일한 통신 언어를 통해 개발 플랫폼이 서로 상이한 에이전트간에도 협동 작업이 가능하도록 하는 멀티 에이전트 기반 구조인 OAA(Open Agent Architecture)상에서 구현하였다.

• IEMEK Journal of Embedded Systems and Applications
• /
• v.10 no.5
• /
• pp.325-333
• /
• 2015

Vision based night-time vehicle detection has been an emerging research field in various advanced driver assistance systems(ADAS) and automotive vehicle as well as automatic head-lamp control. In this paper, we propose night-time vehicle detection method based on multi-class support vector machine(SVM) that consists of thresholding, labeling, feature extraction, and multi-class SVM. Vehicle light candidate blobs are extracted by local mean based thresholding following by labeling process. Seven geometric and stochastic features are extracted from each candidate through the feature extraction step. Each candidate blob is classified into vehicle light or not by multi-class SVM. Four different multi-class SVM including one-against-all(OAA), one-against-one(OAO), top-down tree structured and bottom-up tree structured SVM classifiers are implemented and evaluated in terms of vehicle detection performances. Through the simulations tested on road video sequences, we prove that top-down tree structured and bottom-up tree structured SVM have relatively better performances than the others.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
• /
• 2013.10a
• /
• pp.338-345
• /
• 2013

Induction motors play an increasing importance in industrial manufacturing. Therefore, the state monitoring systems also have been considering as the key in dealing with their negative effect by absorbing faulty symptoms in motors. There are numerous proposed systems in literature, in which, several kinds of signals are utilized as the input. To solve the multiple faults problem of induction motors, like the proposed system, the vibration signals is good candidate. In this study, a new signal processing scheme was utilized, which transforms the time domain vibration signal into the spatial domain as an image. Then the spatial features of converted image then have been extracted by applying the dominant neighbourhood structure (DNS) algorithm. In addition, these feature vectors were evaluated to obtain the fruitful dimensions, which support to discriminate between states of motors. Because of reliability, the conventional one-against-all (OAA) multi-class support vector machines (MCSVM) have been utilized in the proposed system as classifier module. Even though examined in severity levels of signal-to-noise ratio (SNR), up to 15dB, the proposed system still reliable in term of two criteria: true positive (TF) and false positive (FP). Furthermore, it also offers better performance than five state-of-the-art systems.

• Journal of Korean society of Dental Hygiene
• /
• v.21 no.1
• /
• pp.53-63
• /
• 2021

Objectives: The purpose of this study was to determine the relationship between conscious sedation, a moderate sedation method used to reduce dental fear, and anxiety. Methods: The previously developed modified dental anxiety investigation scale (MDAS) and dental fear investigation scale (DFS) were investigated using a self-administered survey for adults aged 19 to 65 years old who visited a dental clinic located in Daegu City from April to November 2020. Those who met the ASA Recommendation Level 1 to 2 were the subjects of this study. The participants were evaluated using the sedation severity rating scale (OAA/S) during the implementation of conscious sedation. A lot of 106 valid questionnaires were analyzed using SPSS. Results: Dental fear and anxiety decreased significantly after dental care with conscious sedation. Dental fear after dental care accompanied by conscious sedation was statistically significant in females, those under the age of 40, those with a bachelor's degree or higher, and those who weighed 60 kg or less. Conclusions: Dental care using conscious sedation was found to have an effect on the reduction of dental fear after the dental procedure. Dental fear can occur in people of all ages, and, regardless of the individual's general and physical characteristics, conscious calming is considered an effective intervention for dental fear in all adults.

• The Korean Journal of Pain
• /
• v.22 no.1
• /
• pp.39-46
• /
• 2009

Background: Ketamine has an indirect sympathetic stimulation effect. We investigated heart rate variability (HRV) as a marker of cardiac autonomic function after a target controlled infusion (TCI) of ketamine with a plasma concentration of 30 or 60 ng/ml. Methods: In 20 adult volunteers, the mean of the R wave to the adjacent R wave interval (RRI), the range of RRI, the root mean square successive difference of intervals (RMSSD), the total power, the low frequency (LF, 0.04-0.15 Hz) power, the high frequency (HF, 0.15-0.4 Hz) power, the normal unit HF (nuHF), the normal unit LF (nuLF), the LF/HF ratio and the SD1 and the SD2 in the Poincare plot were measured before and after a TCI of ketamine. We observed for any psychedelic symptoms or sedation. Results: There were no differences in the mean and range of the RRI, RMSSD, total power, LF power, HF power, nuHF, nuLF, LF/HF ratio, SD1 and SD2 between before and after ketamine administration. The OAA/S score was higher and there were more psychedelic symptoms with a 60 ng/ml plasma concentration than with a 30 ng/ml plasma concentration. Conclusions: This study did not show any effect of a low plasma concentration of ketamine on the autonomic nervous system.

• YAKHAK HOEJI
• /
• v.42 no.2
• /
• pp.187-195
• /
• 1998

In order to ameliorate disadvantages of buccal ointments and mucoadhesive tablets used for the treatment of aphthosis, a thin mucoadhesive patch containing triamcinolone acetoni de was designed and evaluated for the pharmaceutical properties. The adhesive gel layer consisting of Noveon AA-1, hydroxypropylcellulose-M and ethylcellulose N 100, and the protective gel layer of ethylcellulose N 100, Eudragit RSPO and castor oil have been formulated and various properties such as viscosity of drug gel layer, thickness, in vitro adhesion time, adhesive strength, surface pH, content uniformity and drug release are tested. The mean viscosity of drug-containing gel layer was found to increase with increasing amount of Noveon OAA-1 or hydroxypropylcellulose-M. The optimum formulation showed the thickness of 171 ${\mu}$m, surface pH of 4.6, in vitro adhesion time of 8 hours and adhesive strength of 272.7g/sheet. The drug content of each patch was relatively homogeneous with the value of 273${\pm}$6.77g. Drug release study showed that compared to mucoadhesive tablet, the patch showed a faster drug release. Drug release was delayed by hydroxypropylcellulose-M, but not by ethylcellulose N 100. The patches prepared were nonirritant and the muco adhesion was better than the commercial product (AftachR) on the market. Based on these results, this mucoadhesive patch is expected to be an effective dosage form for the treatment of aphthosis.

• Korean Journal of Poultry Science
• /
• v.49 no.1
• /
• pp.33-43
• /
• 2022

The present study was conducted to determine the effect of reduced dietary crude protein (CP) with a synthetic indispensable amino acids (AA) supplement on the growth performance, economics, and breast meat quality. A total of 450 male broilers (Ross 308) were used from the age of 7 to 28 days. On d 7, the birds were individually weighed and randomly assigned to three treatment diets with six replicate pens for each treatment in a randomized complete block design. The experimental diets were: (1) a control diet, (2) a diet with a reduction of 1% of the dietary CP with synthetic AA supplements to meet the indispensable AA requirement (OAA) of broiler chickens, and (3) a diet with a reduction of 1% of the dietary CP with synthetic Lys, Met, and Thr supplementation to exceed 5% of the indispensable AA requirement (HAA). There were no differences among the treatments on the final body weight, weight gain, and feed intake. However, the HAA diet impaired the feed conversion ratio at d 21 and during the overall feeding periods (P<0.05). The predicted total feed intake and feed price required to reached 1.5 kg BW was higher than for the birds fed the HAA diet (P<0.05). The breast meat muscle fiber cross sectional area and fiber density varied between the treatments (P<0.05). However, there were no differences in breast meat weight. In conclusion, reducing 1% of dietary CP had no adverse effects on the growth performance or breast meat yields.

• The Journal of the Petrological Society of Korea
• /
• v.26 no.3
• /
• pp.297-309
• /
• 2017

Jurassic granite from Geochang was analysed with respect to the characteristics of the rock cleavage. The comprehensive evaluation for rock cleavages was performed through the combination of the 16 parameters derived from the enlarged photomicrographs of the thin section and the spacing-cumulative frequency diagrams. The results of analysis for the representative values of these spacing parameters with respect to the rock cleavage are summarized as follows. First, the above parameters can be classified into group I (spacing frequency (N), total spacing ($1m{\geq}$), constant (a), exponent (${\lambda}$), slope of exponential straight line (${\theta}$), length of line (oa') and trigonometric ratios ($sin{\theta}$, $tan{\theta}$) and group II (mean spacing (Sm), difference value between mean spacing and median spacing (Sm-Sme), density (${\rho}$), lengths of lines (oa and aa'), area of a right-angled triangle (${\Delta}oaa^{\prime}$) and trigonometric ratio($cos{\theta}$). The values of the 8 parameters belonging to group I show an order of H(hardway, H1+H2)