• ALGAE
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• v.21 no.4
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• pp.349-375
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• 2006

The application of modern ecological, ultrastructural and molecular methods, aided by the cultivation of numerous cyanobacterial morphotypes, has substantially changed our knowledge of these organisms. It has led to major advances in cyanobacterial taxonomy and criteria for their phylogenetic classification. Molecular data provide basic criteria for cyanobacterial taxonomy; however, a correct phylogenetic system cannot be constructed without combining genetic data with knowledge from the previous 150 years research of cyanobacterial diversity. Thus, studies of morphological variation in nature, and modern morphological, ultrastructural, ecophysiological and biochemical characters need to be combined in a “polyphasic” approach. Taxonomic concepts for generic and infrageneric ranks are re-evaluated in light of combined phenotypic and molecular criteria. Despite their usefulness in experimental studies, the limitations of using strains from culture collections for systematic and nomenclatural purposes is highlighted. The need for a continual revision of strain identification and proper nomenclatural practice associated with either the bacteriological or botanical codes is emphasized. Recent advances in taxonomy are highlighted in the context of prospects for understanding cyanobacterial diversity from natural habitats, and the evolutionary and adaptational processes that cyanobacteria undergo.

• Electronics and Telecommunications Trends
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• v.39 no.3
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• pp.79-86
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• 2024

Digital twins are gaining attention and traction across various industries and societies owing to their potential for technological advancement, utilization, and service innovation. Digital twins involve creating a software system that mirrors a real-world entity, enabling them to interact and cooperate, therfore resembling interaction between a real-world entity and a digital twin. By recognizing the importance of this technology, international standardization efforts for digital twins are actively underway toward enhancing its application across various industrial sectors. We aims to provide an overview of the current status and future prospects of digital twin standardization, focusing on the ISO/TC 184/SC 4 and ISO/IEC JTC 1/SC 41 efforts.

• Journal of Korea Port Economic Association
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• v.18 no.1
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• pp.85-106
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• 2002

Across many industries, benchmarking is considered useful method to improve their service quality and achieve competitive advantage. Benchmarking, especially, has emerged as an increasingly important approach to improving the performance of logistics system and enables successful logistics services and doing good business in logistics services. There are no, however, literature approach for the relationship between benchmarking and port. It is the highest worth researching the application of benchmarking method on the port, since port is the most important component in supply Chain. Therefore, this paper tries to demonstrate the application of the benchmarking method on the port. To do this study, the literature approach developed by several researchers for logistics benchmarking is used as the basic framework. In addition, the following studies are executed: First, the survey of previous studies on logistics benchmarking. Second, finding the indicator and selecting the target in the port benchmarking. Third, the systematic execution schemes of the port benchmarking. Finally, based on the above studies, this paper provides a background for discussions on the future prospects for the application of the benchmarking method on the port.

• International Journal of High-Rise Buildings
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• v.11 no.3
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• pp.145-156
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• 2022

Application examples of computational fluid dynamics (CFD) in the planning stage of high-rise buildings are introduced. First, we introduce examples of applications in the environmental field. The pedestrian wind environment was one of the earliest practical examples of CFD. CFD was also employed to validate the heat island mitigation measures proposed as part of the new construction plan. Second, application examples of wind-force evaluations are introduced. Prediction examples are presented for the peak wind pressure around a complex-shaped building and the wind force evaluation for a base-isolated building. The results prove that the results of the proper execution of CFD are equivalent to those of the wind tunnel experiment. As examples of CFD applications of other issues related to high-rise building planning, we introduce snow accretion on outer walls and high-temperature exhaust from emergency generators. Finally, the future prospects for the use of CFD are discussed.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.104-106
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• 2023

The mobile crowdsensing platform obtains sensing data from mobile users, and the involvement of the public increases the untrustworthy of collected data. In order to distinguish factual data from inaccurate data provided by untrustworthy users, the truth discovery method has been introduced for accurate data aggregation in mobile crowdsensing (MCS). To explore the application of truth discovery in mobile crowdsensing, we overview the general concepts of truth discovery algorithms. Finally, we summarize the main existing application prospects of truth discovery in mobile crowdsensing.

• Journal of the Korea Institute of Building Construction
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• v.14 no.6
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• pp.631-637
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• 2014

Recently, following the application of modular housing techniques to not only residential sector, but also to business sector, the scope of modular housing market b expanding. In the case of other developed countries, such markets are entering into the maturity stage, though the market in Korea is not fully formed yet. Thus, it is difficult to check its trend to estimated mid- to long-term prospects of the market. In this context, the study predicted demand of the modular housing market by using a non-linear prediction model based on time series analysis. To get the prospects for the modular housing market, the quantity of housing supply was estimated based on the estimated quantity of newly built housings, and assumed that a portion of the supplied quantity would be the demand for modular housings. Based on the assumption of demand for modular housings, several scenarios were analyzed and the prospects of the modular housing market was obtained by utilizing the non-linear prediction model.

• Journal of Convergence for Information Technology
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• v.11 no.11
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• pp.151-158
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• 2021

In this paper, we analyzed the latest research trends, challenges, and potential applications of next-generation solar cell materials in various industrial fields. In addition, future prospects and possibilities of Smart Textile Hybrid Energy Harvesting Devices that will supply electricity by combining with wearable IoT devices are presented. The hybrid textile energy harvesting device fused next-generation solar cells with tribo-piezoelectric devices will develop into new 'Convergence Integrated Smart Wear' by combining the material itself with wearable IoT devices in the era of the 4th industrial revolution. The next-generation nanotechnology and devices proposed in this paper will be applied to the field of smart textile with an energy harvesting function. And we hope it will be a paradigm shift that evolves into creative products which provide AI services such as medical & healthcare by convergence with the future smart wear industry.

• Proceedings of the KIPE Conference
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• 2002.07a
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• pp.263-266
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• 2002

The Switched Reluctance Motor(SRM) drive system could operate in a very wide speed range with high efficiency There are no windings, no magnet and a brushless structure on the rotor, and there is only multi-phase centralized windings on the stator, those give rise to its simple and firm structure. It has good Prospects for application. such as industrial and home appliance. in aircraft. This paper is to show a development trends in SRM technology.

• Journal of the Korean Geophysical Society
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• v.7 no.2
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• pp.135-149
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• 2004

The present time is wanted quickness corretness position so as having more and more concern about present my position AS a doncing fan the intrenet marketed of fornation and recongnition about spatial generel is changed now is opening that present my position is where? to questing is answering through smaller (Mobile Device : Mobile Phone, PDA, GPS) then palm of the hand like this background, we know about that what is LBS?, service commercial of LBS SUCH embodiment practical use and possibilities of the future!!

• International Journal of Advanced Culture Technology
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• v.6 no.4
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• pp.262-265
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• 2018

Deep learning, a sub-field of machine learning changing the prospects of artificial intelligence (AI) because of its recent advancements and application in various field. Deep learning deals with algorithms inspired by the structure and function of the brain called artificial neural networks. This works reviews basic architecture and recent advancement of deep structured learning. It also describes contemporary applications of deep structured learning and its advantages over the treditional learning in artificial interlligence. This study is useful for the general readers and students who are in the early stage of deep learning studies.