• Korean Journal of Veterinary Service
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• v.45 no.3
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• pp.211-219
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• 2022

Bovine viral diarrhea (BVD) is one of the problematic wasting diseases in cattle leading to huge economic losses. This study was conducted to investigate the prevalence of BVD including transient and persistent infection from cattle farms in Gyeongsangnam-do. A total of 2,667 blood samples from 24 farms were collected and the sera were subjected to ELISA to detect BVD virus (BVDV) antigen, E^rns. 5' untranslated region (5'-UTR) of BVDV-positive samples was sequenced to identify the genotype, and compared with isolates previously reported elsewhere. There were fourteen BVDV-positive calves from 2,667 samples (positive rate: 0.52%) from first ELISA testing followed by eight persistently infected out of eleven BVDV-positive samples (72.73%) in secondary ELISA that was conducted in at least four weeks suggesting the circulation of BVDV in the area. Sequencing analysis exhibited that thirteen BVDV-positive samples were identified as BVDV-1b and one sample was BVDV-2a. Phylogenetic analysis revealed that the BVDV-1b-positive samples showed the highest homology in nucleotide sequence to Korean isolates collected from Sancheong, Gyeongsangnam-do, while the BVDV-2a-positive sample (21GN7) was more similar to reference strains collected outside South Korea. This study will provide the recent fundamental data on BVD prevalence in Gyeongsangnam-do to be referred in developing strategies to prevent BVDV in South Korea.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.30 no.2D
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• pp.105-111
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• 2010

Operating speed is one of key elements in the design and operation of freeway. Few studies have been carried out macroscopically to find characteristics of free-flow speed (FFS) using small sample size and not considering the conditions of traffic volume and the effects of hour periods. As an attempt to find out the characteristics of FFS, this study microscopically analysed both the distributions of freeway FFS and percentile speeds according to traffic volume and daily hour periods using huge sample size. It was found out that speed distributions are changed and showed different behaviors under the conditions of traffic volumes(1-5 veh/30sec) and daily hour periods(0-5, 6-8, 9-11, 12-19, 20-23). V85(85th percentile speed) at morning, night, and midnight period decreases according to increase in traffic volume respectively, whereas V85 at day time does not show considerable differences. So the behaviors of V85 according to hour periods dramatically changed according to the increase in traffic volume.

• 한국신재생에너지학회:학술대회논문집
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• 2005.06a
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• pp.693-696
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• 2005

KIGAM (Korea Institute of Geoscience and Mineral Resources) launched a new project to develop the low-temperature geothermal water in the area showing high geothermal anomaly, north of Pohang city, for large-scale space heating. Surface geologic and geophysical surveys including Landsat 1M image analysis, gravity, magnetic, Magnetotelluric (MT) and controlled-source audio-frequency MT (CSAMT), and self-potential (SP) methods have been conducted and the possible fracture zone was found that would serve as deeply connected geothermal water conduit. In 2004, two test wells of 1.1km and 1.5km depths have been drilled and various kinds of borehole survey including geophysical logging, pumping test, SP monitoring, core logging and sample analysis have followed. Temperature of geothermal water at the bottom of 1.5km borehole reached over $70^{\circ}C$ and the pumping test showed that the reservoir contained huge amount of geothermal water. Drilling for the production well of 2 km depth is on going. After test utilization and the feasibility study, geothermal water developed from the production well is going to be provided to nearby apartments.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.11
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• pp.5427-5445
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• 2019

While deep neural networks have achieved remarkable performance in representation learning, a huge amount of labeled training data are usually required by supervised deep models such as convolutional neural networks. In this paper, we propose a new representation learning method, namely generative adversarial networks (GAN) based bagging deep convolutional autoencoders (GAN-BDCAE), which can map data to diverse hierarchical representations in an unsupervised fashion. To boost the size of training data, to train deep model and to aggregate diverse learning machines are the three principal avenues towards increasing the capabilities of representation learning of neural networks. We focus on combining those three techniques. To this aim, we adopt GAN for realistic unlabeled sample generation and bagging deep convolutional autoencoders (BDCAE) for robust feature learning. The proposed method improves the discriminative ability of learned feature embedding for solving subsequent pattern recognition problems. We evaluate our approach on three standard benchmarks and demonstrate the superiority of the proposed method compared to traditional unsupervised learning methods.

• CELLMED
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• v.10 no.1
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• pp.6.1-6.7
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• 2020

In Ayurveda the eye is clarified as the most essential among all the indriyas (sensory organs), however because of changed way of life and quick pacing time we are experiencing such huge numbers of scatters, among them eye issue is most imperative as eye is the window of wellbeing. Our old acharyas (ancient scholars) have clarified about the different every day routine to be pursued for keeping up eye wellbeing, Padabhyang (foot massage) is one of them referenced in Ayurvedic dincharya (daily routine) and it has been depicted as Chakshushya (eye sight promoter) implies it improves our vision. So thinking about it, Padabhyang (foot massage) with and without snehan (oleation) was chosen for the present clinical preliminary to discover its adequacy in Timira (refractive error), result were statistically significant in subjective parameters but no change was found in objective parameter. We know, this restricted investigation has not secured every one of the angles but rather clinical preliminaries show empowering results. More study is necessary on large sample to draw the final inferences.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2009.10a
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• pp.187-188
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• 2009

On this study, the artificial neural network, one of the nonlinear forecasting methods, is compared with ARIMA model through performing a forecast of container traffic. The existing studies have been used the rule of thumb in topology design for network which had a great effect on forecasting performance of the artificial neural network. However, this study applied the genetic algorithm, known as the effectively optimal algorithm in the huge and complex sample space, as the alternative.

• Journal of the Korean Magnetic Resonance Society
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• v.21 no.2
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• pp.50-54
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• 2017

Cupin-superfamily proteins represent the most functionally diverse groups of proteins and include a huge number of functionally uncharacterized proteins. Recently, YaiE, a cupin protein from Escherichia coli has been suggested to be involved in a novel activity of pyrimidine/purine nucleoside phosphorylase (PPNP). In the present study, we achieved a complete backbone NMR assignments of YaiE, by a series of heteronuclear multidimensional NMR experiments on its [$^{13}C/^{15}N$]-enriched sample. Subsequently, secondary structure analysis using the assigned chemical shift values identified 10 obvious ${\beta}-strands$ and a tentative $3_{10}-helix$. Taken all together, the results constitute the first structural characterization of a putative PPNP cupin protein.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2012.10a
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• pp.181-182
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• 2012

This study aims to present about structural marina floats to yacht enhancement. Yacht marina facilities take long time and huge budget. The current ministry of land, transport and maritime affairs is planning to select an optimal design and spot for marina float base to yacht enhancement using Mokpo harbor. First, this paper focuses on marine floatation system to find requirements of selection. Second it points out sample structural marina floats in practice. Finally, this paper presents some recommendations for developing plan and method.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.5
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• pp.2588-2609
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• 2019

Speech homomorphic encryption has become one of the key components in secure speech storing in the public cloud computing. The major problem of speech homomorphic encryption is the huge data expansion of speech cipher-text. To address the issue, this paper presents a speech homomorphic encryption scheme with less data expansion, which is a probabilistic statistics and addition homomorphic cryptosystem. In the proposed scheme, the original digital speech with some random numbers selected is firstly grouped to form a series of speech matrix. Then, a proposed matrix encryption method is employed to encrypt that speech matrix. After that, mutual information in sample speech cipher-texts is reduced to limit the data expansion. Performance analysis and experimental results show that the proposed scheme is addition homomorphic, and it not only resists statistical analysis attacks but also eliminates some signal characteristics of original speech. In addition, comparing with Paillier homomorphic cryptosystem, the proposed scheme has less data expansion and lower computational complexity. Furthermore, the time consumption of the proposed scheme is almost the same on the smartphone and the PC. Thus, the proposed scheme is extremely suitable for secure speech storing in public cloud computing.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.10
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• pp.61-71
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• 2022

Organizations pursue innovation to improve performance and gain competitive advantage, and knowledge workers represent an integral part of creating knowledge and helping organizations in their innovation efforts. The current paper seeks to examine the impact of the work environment on knowledge workers' creativity. Building on The Investment Theory of Creativity, The Componential Theory of Creativity, the Job Demand-Resource model, and the Resource Based View, we develop and test a model suggesting a relationship between work environment-social support, sufficient resources, organizational freedom, and organizational regulations-and the quantity and quality of the creative performance of knowledge workers. Using a sample of 167 engineers in Saudi Arabia, an emerging but wealthy country with huge innovation inspirations, the results of our Ordinary Least Squares (OLS) regression analysis indicate that all four elements of the work environment included in our study positively impact the quantity and quality of knowledge workers' creative performance. Our paper provides important contributions to the literature on the work environment, creativity, and knowledge management, with an emphasis on creativity in developing countries. Our study highlights the importance of creating a supportive and encouraging work environment for knowledge workers to foster their creativity. The study offers several theoretical and managerial implications, along with suggestions for future research.