• Journal of Environmental Impact Assessment
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• v.18 no.1
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• pp.51-57
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• 2009

Corylopsis coreana Uyeki is endemic species in the Korean peninsula and is designated a Category Endangered Plant Species by the Wildlife Protection Act of South Korea. We developed the plan and cooperative model within the local community for the species conservation. In order to carry out this plan we first investigated the ecological characteristics of the species. The species shows patterns of discontinuous distribution and is coupled with the unusual feature of only growing on northern exposed slopes. Although Corylopsis coreana is cut the stem every year, many new sprouts are still grown from the root. Natural germination of the seed occurs only on north-facing slopes, but not on south-facing slopes at spring. That is, the species is highly influenced by soil moisture until the seedling stage has been reached. This factor limits the distribution of the species. When saplings are planted on south-facing slopes, they grow well. The information we gathered greatly helped with efforts to draw up conservation plans. In addition, when the information was shared with the local community, builders and residents showed great interest and displayed a will to help with conservation efforts. Therefore, a cooperative model within the local community was drawn up for the conservation of the species. Accordingly this model could be applied at mitigation measure at environment impact assessment.

• Transactions of the Korean Society of Mechanical Engineers
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• v.19 no.9
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• pp.2342-2352
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• 1995

Deposition of flame-synthesized silica particles onto a target is utilized in optical fiber preform fabrication processes. The particles are convected and deposited onto the target. Falkner-Skan wedge flow was chosen as the particle laden flow. Typically the particles are polydisperse in size and follow a lognormal size distribution. Brownian diffusion, thermophoresis, and coagulation of the particles were considered and effects of these phenomena on particle deposition were studied. A moment model was developed in order to predict the particle number density and the particle size distribution simultaneously. Particle deposition with various wedge configurations was examined for conditions selected for a typical VAD process. When coagulation was considered, mean particle size and its standard deviation increased and particle number density decreased, compared to the case without coagulation. These results proved the fact that coagulation effect expands particle size distribution. The results were discussed with characteristics of thermal and diffusion boundary layers. As the boundary layers grow in thickness, overall temperature and concentration gradients decrease, resulting in decrease of deposition rate and increase of particle residence time in the flow and thus coagulation effect.

• Clean Technology
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• v.20 no.2
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• pp.160-165
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• 2014

Over the past decade, an increasing number of manufactured nanoparticles (NPs) have been incorporated into products and manufacturing processes due to the rapid innovation and commercialization in the field of nanotechnology. In addition, these nanomaterials and nano-consumer products have increased in quantity per year, and thus their uncontrolled release into the environment is anticipated to grow dramatically in future. However, A current sewage/wastewater treatment plant (SWTP) is being applied to removal of nanoparticles in wastewater. In Korea, the study on the removal of nanoparticles in SWTP was not reported yet. Therefore, in this work, to design pilot STP before field test, two model equations and commercial process simulation were used to derive the desing parameters.

• The Journal of Information Technology
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• v.7 no.1
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• pp.57-67
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• 2004

Data broadcast has attracted a lot of attention as an efficient way of disseminating data to very large client populations. The main motivation of data broadcast systems is that the number of clients that they serve can grow arbitrarily large without any effect on their performance. The performance of broadcast system depends mainly on client caching strategies and on data broadcast scheduling mechanisms. This paper addresses the latter issue and proposes a new broadcast scheduling scheme, named RxW$^{\alpha}$, that is suitable to data broadcast systems. This paper also evaluates the performance of RxW$^{\alpha}$ on the basis of a simulation model. The performance results indicate that RxW$^{\alpha}$ is capable of improving the performance in the variance of response time significantly, showing a reasonable performance in the response time.

• The Transactions of the Korean Institute of Electrical Engineers P
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• v.64 no.2
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• pp.74-78
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• 2015

With the improvement of living standards and economic development, electricity consumption continues to grow. The electricity is a special energy which is hard to store, so its supply must be consistent with the demand. The objective of electricity demand forecasting is to make best use of electricity energy and provide balance between supply and demand. Hence, it is very important work to forecast electricity demand with higher precision. So, various forecasting methods have been developed. They can be divided into five broad categories such as time series models, regression based model, artificial intelligence techniques and fuzzy logic method without considering special-day effects. Electricity demand patterns on holidays can be often idiosyncratic and cause significant forecasting errors. Such effects are known as special-day effects and are recognized as an important issue in determining electricity demand data. In this research, we developed the power demand forecasting method using ELM(Extreme Learning Machine) for special day, particularly, lunar new year and Chuseok holiday.

• Journal of the Korea Society of Computer and Information
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• v.6 no.3
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• pp.23-28
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• 2001

There has been several meaning full efforts to save costs on system development and expand the life-time of a system in changeful IT circumstance. It was a module-based architecture that empower productivity at structured programming era. But it couldn't grow nor evolve, but could raise only calling frequency of module. But OOP or OO-method overcome limit of structured programing by class inheritance and/or overloading and/or over-riding. A component centric architecture, what is mixture of distributed systems, like CORBA or DCOM with OOP, can support not only high reusability or expansion of life-time but also Plug-&-Play between them. To assemble these component to build a new system in easy way, the well-formed specification of a component is highly required. At this study, the enhanced referential component architecture and its UML specification will be suggested.

• Journal of the Korean Society of Food Culture
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• v.36 no.6
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• pp.633-639
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• 2021

Raphanus sativus var. hortensis f. raphanistroides Makino (Korean wild radish [WR]) are root vegetables belonging to the Brassicaceae family. These radish species mostly grow in sea areas in Asia, where they have been traditionally used as a medicinal food to treat various diseases. To investigate the effect of WR on neuronal cell death in SH-SY5Y cells, beta-amyloid was used to develop the cell death model. WR attenuated neuronal cell death in SH-SY5Y and regulated the mitogen-activated protein kinase (MAPK) signaling. WR extract also inhibited acetylcholinesterase inhibitor activity. Additionally, the WR treatment group ameliorated the behavior of the memory-impaired mice in a scopolamine-induced mouse model. In the behavior test, WR treated mice showed shorter escape latency and swimming distance and improved the platform-crossing number and the swimming time within the target quadrant. Furthermore, WR prevented histological loss of neurons in hippocampal CA1 regions induced by scopolamine. This study shows that WR can prevent memory impairment which may be a crucial way for the prevention and treatment of memory dysfunction and neuronal cell death.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.3
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• pp.193-211
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• 2023

This study explores consumer perceptions of the Metaverse, a new concept emerging post-pandemic. It applies the Technology Acceptance Model and Theory of Reasoned Action to examine how perceived usefulness, ease of use, attitudes, subjective norms, and intentions to adopt new technology are connected. The study analyzes samples obtained from a self-administered online survey, assessing experienced and inexperienced individuals to compare their perceptions toward Metaverse in the food service industry. The data is processed with SPSS and AMOS, utilizing factor analysis and structural equation modeling. Results show perceived usefulness and ease of use influencing attitudes, which, along with subjective norms, impact behavioral intentions, supporting hypotheses. As online experiences grow, Metaverse marketing could affect dining behaviors and purchases. The study offers insights for food service companies to enhance behavioral intentions, contributing to Metaverse advancement.

• Journal of the Korea Society of Computer and Information
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• v.14 no.10
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• pp.217-223
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• 2009

Vocabulary recognition system of Mobile terminal is executed statistical method for vocabulary recognition and used statistical grammar recognition system using N-gram. If limit arithmetic processing capacity in memory of vocabulary to grow then vocabulary recognition algorithm complicated and need a large scale search space and many processing time on account of impossible to process. This study suggest vocabulary recognition optimize using MLHF System. MLHF separate acoustic search and lexical search system using FLaVoR. Acoustic search feature vector of speech signal extract using HMM, lexical search recognition execution using Levenshtein distance algorithm. System performance as a result of represent vocabulary dependence recognition rate of 98.63%, vocabulary independence recognition rate of 97.91%, represent recognition speed of 1.61 second.

• The Journal of the Acoustical Society of Korea
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• v.43 no.2
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• pp.152-161
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• 2024

Although hearing loss in the elderly is one of the common symptoms of aging, as the aging population continues to grow, policies such as home care and welfare housing for the elderly are implemented with a focus on mobility, often overlooking the issue of hearing loss in the elderly. In this study, our aim is to enhance the quality of life for the elderly by improving the auditory environment within residential spaces, which plays a pivotal role in determining their overall well-being. We have proposed a technique that focuses on reducing reverberation, minimizing noise levels, and enhancing sound quality to improve the listening environment for the elderly, and we have verified its effectiveness. Building upon this, we have developed an acoustic design model for residential facilities catering to elderly home care.