• Journal of The Korean Society of Grassland and Forage Science
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• v.23 no.3
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• pp.203-206
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• 2003

New orchardgrass(Dactylis glomerata L.) variety named as “Jangbeol 101” was developed by the National Livestock Research Institute(NLRI) in 2002. To develope the new variety of orchardgras, 5 superior clones were selected and polycrossed for seed production. Synthetic seeds were examined on the agronomic growth characteristics and forage production at Suwon from 1995 to 1998, and regional trials were conducted in Suwon, Namwon and Pyungchang from 1999 to 2002 and Jeju from 2000 to 2002, respectively. “Jangbeol 101” showed semi-erect growth habit in fall and spring and medium type in length of flag leaf and upper internode. Plant height of “Jangbeol 101” was short compared to that of standard variety, “Ambassador” and heading date was delayed about 2 days as 14th May compared to Ambassador. Characters such as winter hardiness, regrowth, moisture tolerance, disease resistance of “Jangbeol 101” were stronger or better than those of Ambassador. “Jangbeol 101” showed 9% higher dry matter yield as 12,374 kg/ha compared to Amabassador. Nutritive value was appeared to be similar in both varieties.

• Journal of The Korean Society of Grassland and Forage Science
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• v.23 no.3
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• pp.207-210
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• 2003

"Jangbeol 102" is a new orchardgrass(Dacrylis glomerata L.) variety developed by the National Livestock Research Institute(NLRI) in 2002. To develope the new variety of orchardgrass, 5 superior clones were selected and polycrossed for seed production. Agronomic growth characteristics and forage production of "Jangbeol 102" were examined at Suwon from 1995 to 1998, and regional trials were conducted in Suwon, Namwon and Pyungchang from 1999 to 2002 and Jeju from 2000 to 2002, respectively. "Jangbeol 102" showed semi-erect growth habit in fall and spring and medium to long type in length of flag leaf and upper internode. Plant height of "Jangbeol 102" was similar to that of standard variety, "Ambassador" and heading date was I day faster as 11th May compared to Ambassador. Characters such as winter hardiness, regrowth, moisture tolerance, disease resistance of "Jangbeol 102" were stronger or better than those of Ambassador, specially in regrowth and disease resistance. "Jangbeol 102" showed 18% higher dry matter yield(13,430kg/ha) compared to Amabassador. Nutritive value was appeared to be similar in both varieties.assador. Nutritive value was appeared to be similar in both varieties.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.266-266
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• 2022

The outbreaks of blast, bacterial blight and viral diseases have been increasing in early maturing rice cultivating areas in the central northern regions, recently. As the occurrence of sudden insects pests and disasters increases due to global climate warming, it is urgent to develop a variety of disaster-tolerant, high-quality varieties in response. This study was carried out to elucidate the characteristics of early-maturing, high-quality and multiple disease resistant rice variety, Cheolweon109 that was adapted to cultivation in the mid-mountainous regions of the central northern regions. Cheolweon109 was derived from a cross between Suweon546, medium maturing variety, and Sangju44 which is early maturing and resistant to blast, bacterial blight and rice stripe virus. The heading date of Cheolweon109 was July 30, 3 days later than Odae. The culm length of Cheolweon109 was 79 cm, which was about 5 cm taller than Odae, and the ripening ratio was 85.1%, which was 10% higher than that of Odae. This variety had 5.54 MT/ha of milled rice productivity, which was 99% of the Odae. Although Cheolweon109 was tall, it was strong against lodging. It was strong against bacterial blight (K1, K2, K3 race), rice stripe virus, and the pre-harvest sprouting which rate was 2.4%. The appearance of the grains of rice was clean, the glossiness was 70.6, and the head rice ratio was 95.3% high. Because Cheolweon109 had superior disease resistance, disaster resistance, and high quality than Odae, it was expected that can be used to expand the diversity of early maturing and high-quality rice varieties in central northern regions.

• Journal of The Korean Dental Society of Anesthesiology
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• v.14 no.1
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• pp.3-10
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• 2014

The inferior alveolar nerve (IAN) block is the most frequently used mandibular injection technique for achieving local anesthesia for restorative and surgical procedures. However, The IAN block does not always result in successful anesthesia, especially pulpal anesthesia. Lidocaine is used as a "standard" local anesthetic for the inferior alveolar nerve. Articaine recently joined Korean market as a form of dental cartridge. It has an advantage of superior diffusion through bony tissue. A variety of trial was performed to improve the success rate of inferior alveolar nerve block. In this review, the recent update related with inferior alveolar nerve block anesthesia will be discussed on the anatomical consideration, anesthetic agent, technique, and complications.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2001.01a
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• pp.224-229
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• 2001

When a semiconductor package is assembled, various materials such as die attach adhesive, lead frame, EMC (Epoxy Molding Compound), and gold wire are used. For better preconditioning performance, the combination between the packaging materials by studying the compatibility of their properties as well as superior packaging material selection is important. But it is not an easy task to find proper packaging material sets, since a variety of factors like package design, substrate design, substrate size, substrate treatment, die size, die thickness, die passivation, and customer requirements should be considered. This research applies case-based reasoning(CBR) technique to solve this problem, utilizing prior cases that have been experienced. Our particular interests lie in building decision support model to aid the selection of proper die attach adhesive. The preliminary results show that this approach is promising.

• Journal of Korean Institute of Industrial Engineers
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• v.36 no.2
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• pp.101-107
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• 2010

Among a variety of asset dynamics models in order to explain the common properties of financial underlying assets, parametric models are meaningful when their parameters are set reliably. There are two main methods from which we can obtain them. They are to use time-series data of an underlying price or the market option prices of the underlying at one time. Based on the Girsanov theorem, in the pure diffusion models, the parameters calibrated from the option prices should be partially equivalent to those from time-series underling prices. We call this phenomenon model consistency. In this paper, we verify that the two-state regime switching Black-Scholes model is superior in the sense of model consistency, comparing with two popular conventional models, the Black-Scholes model and Heston model.

• Ceramist
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• v.22 no.3
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• pp.230-242
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• 2019

Functional ceramics are widely utilized in a variety of application fields such as structural materials, sensors, energy devices, purification filter and etc due to their high strength, stability and chemical activity. With the breakthrough development of nanotechnology, many researchers have studied new types of nanomaterials including nanoparticle, nanorod, nanowire and nanoplate to realize high-performance ceramics. Especially several groups have focused on the 3D nanostructured ceramics because of their large surface area, efficient load transfer, ultra-fast ion diffusion and superior electrical (or thermal) conductivity. In this review, we introduce the reported fabrication strategies of the 3D nanostructured and functional ceramics, also summarized the 3D nanostructured ceramic based high-performance applications containing photocatalysts, structural materials, energy harvesting and storage devices.

• Proceedings of the KIEE Conference
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• 1992.07a
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• pp.434-436
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• 1992

In this paper, we propose a new multilevel nonlinear filter for simultaneous edge detection and noise suppression, which we call a order statistic-median hybrid(OMH) filler. The median-related filters cause an edge shift in the presence of an impulse near the edge. The proposed filter reduces such edge shifting while suppressing impulsive as well as nonimpulsive noise. We show that at the noisy edge point the OMH filter is substantially superior to the median filter, the $\alpha$-TM filter and the STM filter[I] in two respects: (a) the output bias error and (b) the output mean square error. Test results confirm that the OMH filter is robust in preserving sharp edges, inhibiting edge shifting, and suppressing a wide variety of noise. The structure for the OMH filter integrated circuit is also described.

• Journal of Computing Science and Engineering
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• v.12 no.1
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• pp.1-11
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• 2018

Human activities recognition is a challenging task due to its complexity of human movements and the variety performed by different subjects for the same action. This paper presents a recognition algorithm by using skeleton information generated from depth maps. Concatenating motion features and temporal constraint feature produces feature vector. Reducing dictionary scale proposes an improved fast classifier based on sparse representation. The developed method is shown to be effective by recognizing different activities on the UTD-MHAD dataset. Comparison results indicate superior performance of our method over some existing methods.

• Phonetics and Speech Sciences
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• v.2 no.1
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• pp.77-85
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• 2010

This paper proposes an efficient feature vector processing technique to guard the Speech Emotion Recognition (SER) system against a variety of noises. In the proposed approach, emotional feature vectors are extracted from speech processed by comb filtering. Then, these extracts are used in a robust model construction based on feature vector classification. We modify conventional comb filtering by using speech presence probability to minimize drawbacks due to incorrect pitch estimation under background noise conditions. The modified comb filtering can correctly enhance the harmonics, which is an important factor used in SER. Feature vector classification technique categorizes feature vectors into either discriminative vectors or non-discriminative vectors based on a log-likelihood criterion. This method can successfully select the discriminative vectors while preserving correct emotional characteristics. Thus, robust emotion models can be constructed by only using such discriminative vectors. On SER experiment using an emotional speech corpus contaminated by various noises, our approach exhibited superior performance to the baseline system.