• Journal of the Korean Society of Marine Environment & Safety
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• v.29 no.6
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• pp.609-619
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• 2023

This study aimed to investigate the formation of the social perception of domestic maritime sports using text mining analysis of keywords and topics from domestic media coverage over the past 10 years related to representative maritime sports, including yachting, rowing, and canoeing. The results are as follows: First, term frequency (TF) and word cloud analyses identified the top keywords: "maritime," "competition," "experience," "tourism," "world," "yachting," "canoeing," "leisure," and "participation." Second, semantic network analysis revealed that yachting was correlated with terms like "maritime," "industry," "competition," "leisure," "tourism," "boat," "facilities," and "business"; rowing with terms like "competition" and "Chungju"; and canoeing with terms like "maritime," "competition," "experience," "leisure," and "tourism." Third, topic modeling analysis indicated that yachting, rowing, and canoeing are perceived as elite sports and maritime leisure sports. However, the perception of these sports has been demonstrated to have little impact on society, public opinion, and social transformation. In summary, when considering these results comprehensively, it can be concluded that yachting and canoeing have gradually shifted from being perceived as elite sports to essential elements of the maritime leisure industry. Contrariwise, rowing remains primarily associated with elite sports, and its popularization as a maritime leisure sport appears limited at this time.

• The Journal of the Convergence on Culture Technology
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• v.9 no.5
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• pp.597-603
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• 2023

The paradigm of military operations has evolved from platform-centric warfare to network-centric warfare and further to information-centric warfare, driven by advancements in information technology. In recent years, with the development of cutting-edge technologies such as big data, artificial intelligence, and the Internet of Things (IoT), military operations are transitioning towards knowledge-centric warfare (KCW), based on artificial intelligence. Consequently, the military places significant emphasis on integrating advanced information and communication technologies (ICT) to establish reliable C4I (Command, Control, Communication, Computer, Intelligence) systems. This research emphasizes the need to apply data mining techniques to analyze and evaluate various aspects of C4I systems, including enhancing combat capabilities, optimizing utilization in network-based environments, efficiently distributing information flow, facilitating smooth communication, and effectively implementing knowledge sharing. Data mining serves as a fundamental technology in modern big data analysis, and this study utilizes it to analyze real-world cases and propose practical strategies to maximize the efficiency of military command and control systems. The research outcomes are expected to provide valuable insights into the performance of C4I systems and reinforce knowledge-centric warfare in contemporary military operations.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1143-1150
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• 2023

The global climate crisis and the implementation of low-carbon policies have led to a growing interest in renewable energy and a growing number of related industries. Among them, solar power is attracting attention as a representative eco-friendly energy that does not deplete and does not emit pollutants or greenhouse gases. As a result, the supplement of solar power facility is increasing all over the world. However, solar power is easily affected by the environment such as geography and weather, so accurate solar power forecast is important for stable operation and efficient management. However, it is very hard to predict the exact amount of solar power using statistical methods. In addition, the conventional prediction methods have focused on only short- or long-term prediction, which causes to take long time to obtain various prediction models with different prediction horizons. Therefore, this study utilizes a many-to-many structure of a recurrent neural network (RNN) to integrate short-term and long-term predictions of solar power generation. We compare various RNN-based very short- and long-term prediction methods for solar power in terms of MSE and R² values.

• Information Systems Review
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• v.24 no.2
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• pp.21-40
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• 2022

The purpose of this study is to find factors that Incheon International Airport should focus on and improve in order to have hub-competitiveness through economic zone centered on airport. Text analytics was conducted on online review written by passengers who used world class transit airport to derive environmental factors. After that, we select 15 major factors among the derived environmental factors based on the previous studies. This study used IPA analysis for experts in aviation field to investigate the importance and performance of the factors. Results showed that performance was evaluated to be lower than importance in all factors, and accessibility(convenience, diversity, cost and time), free economic zone and various shopping facilities were top 3 factors to be specifically improved. This study is meaningful in that it can understand passengers' perceptions by using the advantages of text analysis and surveys method. The result of study can be used to establish policy and strategic directions to solidify the position of hub airports in the future.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.14 no.3
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• pp.163-170
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• 2009

Several species of the genus Pseudo-nitzschia produce the neurotoxin domoic acid (DA) known to be responsible for amnesic shellfish poisoning. In spite of the potentially toxic effects on marine ecosystem, even the representative Pseudo-nitzschia species occurring in Korean coastal waters have not been clearly reported. Plankton samples from several outer coastal sites of Tongyeong were collected fortnightly from May to November 2008 and the presence of diatoms of the genus Pseudo-nitzschia was examined using light and scanning electron microscopy. Thirteen species were observed, including P. americana, P. brasiliana, P. caciantha, P. calliantha, P. cuspidata, P. delicatissima, P. micropora, P. multiseries, P. multistriata, P. pseudodelicatissima, P. pungens, P. subfraudulenta, and P. subpacifica. The number of Pseudo-nitzschia species observed were only four in May, which was minimum during this survey, and then gradually increased attaining maximum, twelve, in September. After September it began to decrease again and got to five in November. Of these, P. americana, P. brasiliana, P. caciantha, P. calliantha, P. micropora, and P, pseudodelicatissima are new records for the Korean coastal waters and P. calliantha, P. cuspidata, P. delicatissima, P multiseries, P. multistriata, and P. pungens have been reported as DA producers around the world, but the potential toxicity of these species was not ascertained in Tongyeong area.

• Sim-seong Yeon-gu
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• v.34 no.2
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• pp.95-148
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• 2019

The Testament is 'the repository of the psyche' which can understand the images revealed from human life, mind, and numinous experiences. When the Scripture is psychologically interpreted, not only does it offer an abundance in biblical exegesis, but is also incredibly valuable in understanding the actual dimensions of life. This study examined the meaning of main visions in the Book of Revelation from the perspective of analytical psychology. The core contents of these visions are 1) the image of Christ represented as One like the Son of Man and Apocalyptic lamb, 2) Sun and Moon Woman and Dragon, 3) Whore Babylon and Bride New Jerusalem, 4) Hieros Gamos and Descending New Jerusalem. Such archetypal images lead to become conscious of an individual, and at the same time the visions of Revelation as a drama of archetype present the transion of civilization, as ultimately penetrating the history of the time period. This article contemplated on the characteristics of the archetypal image emerging in the visions and categorized them into the father archetype, mother archetype, or anima archetype. The ultimate purpose of all the visions can be understood as the ascent, conjunction and descent. This will mean to become conscious of human and incarnation of God, i.e. the individuation process. In our time suffering from masculine one-sidedness, the vision of new Jerusalem presents how the feminine can redeem an individual and this world.

• Journal of Korea Water Resources Association
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• v.57 no.4
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• pp.237-248
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• 2024

Watershed runoff that is an important component of the hydrological processes has been significantly altered by climate variability and human activities in many watersheds around the world. It is important to investigate the impacts of climate variability and human activities on watershed runoff change for water resource management. In this study, using watershed runoff data for 109 middle-sized watersheds in Korea, the impacts of climate variability and human activities on watershed runoff change were quantitatively evaluated. Using the Pittitt test, the analysis period was divided into two sub-periods, and the impacts of climate variability and human activities on the watershed runoff change were quantified using the Budyko hypothesis-based climate elasticity method. The overall results indicated that the relative contribution of climate variability and human activities to the watershed runoff change varied by middle-sized watersheds, and the dominant factors on the watershed runoff change were identified for each watershed among climate variability and human activities. The results of this study enable us to predict the watershed runoff change considering climate variability and watershed development plans, which provides useful information for establishing a water resource management plan to reduce the risk of hydrological disasters such as drought or flood.

• Journal of Korea Society of Industrial Information Systems
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• v.29 no.2
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• pp.133-151
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• 2024

The purpose of this study is to analyze the core values of Donghwa Pharmaceutical, which has been in the pharmaceutical industry in South Korea for 126 years, and examine the core competencies that have consistently enabled it to maintain a competitive advantage. When applying the VRIO Framework, various general pharmaceuticals, including Donghwa Pharmaceutical's 'Hwalmyeongsoo,' which has maintained the top position in the liquid digestive medicine market for 126 years, are identified as powerful resources (Value) that generate 'sustained competitive advantage.' The principles of ethical management based on the Donghwa spirit, the long-standing principles of trust and belief, and the entrepreneurial spirit possess rarity. Having won four Guinness World Records and holding numerous new drug patents, Donghwa Pharmaceutical has consistently secured the top position in the digestive medicine category of the Korean Industrial Brand Power for 19 consecutive years. The company has been designated as a 'Golden Brand,' and its products have high levels of awareness, making them highly difficult to imitate. Lastly, the organization is structured to efficiently utilize resources such as a transparent hierarchical system, fair personnel management, diverse training programs, and high employee welfare and salaries. This study systematically analyzes the core values of Donghwa Pharmaceutical from a managerial perspective and proposes directions for the company to evolve into a long-lasting enterprise. The research outcomes will provide valuable insights for formulating long-term management strategies.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.17 no.1
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• pp.31-37
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• 2024

In this study, we propose a machine vision-based pedestrian signal detection algorithm that operates efficiently even in computing resource-constrained environments. This algorithm demonstrates high efficiency within limited resources and is designed to minimize the impact of ambient lighting by sequentially applying HSV color space-based image processing, binarization, morphological operations, labeling, and other steps to address issues such as light glare. Particularly, this algorithm is structured in a relatively simple form to ensure smooth operation within embedded system environments, considering the limitations of computing resources. Consequently, it possesses a structure that operates reliably even in environments with low computing resources. Moreover, the proposed pedestrian signal system not only includes pedestrian signal detection capabilities but also incorporates IoT functionality, allowing wireless integration with a web server. This integration enables users to conveniently monitor and control the status of the signal system through the web server. Additionally, successful implementation has been achieved for effectively controlling 50W LED pedestrian signals. This proposed system aims to provide a rapid and efficient pedestrian signal detection and control system within resource-constrained environments, contemplating its potential applicability in real-world road scenarios. Anticipated contributions include fostering the establishment of safer and more intelligent traffic systems.

• The Korean Journal of Applied Statistics
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• v.37 no.1
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• pp.1-12
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• 2024

In many real-world data, multiple response variables are often dependent on the same set of explanatory variables. In particular, if several response variables are correlated with each other, simultaneous estimation considering the correlation between response variables might be more effective way than individual analysis by each response variable. In this multivariate regression analysis, least distance estimator (LDE) can estimate the regression coefficients simultaneously to minimize the distance between each training data and the estimates in a multidimensional Euclidean space. It provides a robustness for the outliers as well. In this paper, we examine the least distance estimation method in multivariate linear regression analysis, and furthermore, we present the penalized least distance estimator (PLDE) for efficient variable selection. The LDE technique applied with the adaptive group LASSO penalty term (AGLDE) is proposed in this study which can reflect the correlation between response variables in the model and can efficiently select variables according to the importance of explanatory variables. The validity of the proposed method was confirmed through simulations and real data analysis.