• Journal of the Korean Society of Fisheries and Ocean Technology
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• v.58 no.2
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• pp.130-140
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• 2022

Recently, wideband acoustic technology has been introduced and started to be used in fisheries acoustic surveys in various waters worldwide. Wideband acoustic data provides high vertical resolution, high signal-to-noise ratio and continuous frequency characteristics over a wide frequency range for species identification. In this study, the main characteristics of wideband acoustic systems were elaborated, and a general methodology for wideband acoustic data analysis was presented using data collected in frequency modulation mode for the first time in Republic of Korea. In particular, this study described the data recording method using the mission planner of the wideband autonomous acoustic system, wideband acoustic data signal processing, calibration and the wideband frequency response graph. Since wideband acoustic systems are currently installed on many training and research vessels, it is expected that the results of this study can be used as basic knowledge for fisheries acoustic research using the state-of-the-art system.

• Journal of Korean Society of Archives and Records Management
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• v.24 no.3
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• pp.45-63
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• 2024

This study explores the strategies for documenting extinct places by clarifying the concepts of place and sense of place and highlighting the importance of place documentation. The disappearance of a place signifies the loss of a medium that evokes memory. Place documentation, a process of recording the sense of place, can restore memory media, resolve the lack of shared memories, and strengthen community identity. It also provides archiving methods and tools to involve stakeholders as record producers to enrich the context further. Thus, the study proposes key strategies, including resident participation, communication of place identity through archives, and cultural-artistic integration projects. The Jeungpyeong Archives' "Maryknoll Clinic" project serves as a case study based on these strategies to illustrate how place documentation is implemented.

• Journal of Distribution Science
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• v.13 no.2
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• pp.55-62
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• 2015

Purpose - This study aims to investigate the success factors pertaining to K-POPs from an analysis of the internal business environment. Much research has investigated Korean Moves or how to popularize them. The research mainly focused on aspects of Korean Moves. However, few studies have attempted to examine Korean Moves or K-POPs from a managerial viewpoint. The current research tries to investigate the success factors of K-POP from strategic perspectives, specifically utilizing internal resource based view perspectives. It differentiates itself by looking at the competitiveness of K-POP from the internal resources. Research design, data, and methodology - In the entertainment industry, where creativity is heavily stressed, competitiveness is often regarded within the organization as a form of intangible asset, knowledge, or technology that is often related with the organization's personnel. Some research has tried to reveal the competitiveness of K-POP using Porter's competitiveness of nations framework. Others utilize the adapted model of Porter's structure. However, these models only look at the outside environment, and not inside a firm's resource, knowledge, or capabilities. This research utilizes the VRIO model to examine the internal resources and capabilities of K-POP producers. The model measures whether a firm's internal resources and capabilities are valuable, rare, difficult to imitate by competitors, or organizable. The research covered businesses whose yearly revenue exceeds $10 Million in music planning and recording in South Korea. There were only thirteen such companies (one percent of the total population). Of these, companies for whom 20 percent or more of the sales revenue comes from the abroad are targeted. Only seven are selected and these participated in the research. In order to find a firm's internal resources, we conducted qualitative research methodology. Their business names and persons who participated in this research are not revealed due to case sensitive issues. Instead, we use unrelated initials for their names and their statements. Results - From the in-depth interview with top-tier K-POP producers and managers, the current research tried to identify resources and capabilities that helped to strengthen their competitiveness. These resources and capabilities are sought from the scope of the VRIO model, which looks at the internal resources and capabilities from the scope of value, rarity, imitability, and organization. Interviews with the top tier producers and managers reveal the internal success factors of K-POPs. We conclude that these resources and capabilities are from internally accumulated producing know-how, unique managing (training) system, and outstanding all-round entertainment capabilities of the performers. Conclusions - These results indicate that the core resources and capabilities of K-POP are robust. It will take a significant amount of time and money to imitate for followers, because these resources and capabilities are the result of time investment and are embedded into producers' and performers' know-how. Taking Luo (2000)'s argument, K-POP is in the second stage of the globalization process, which is configuring and allocation resource capabilities to a global scope.

• Journal of Society of Preventive Korean Medicine
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• v.18 no.1
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• pp.11-21
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• 2014

Objective : This study set out to combine the treatment efficacy of Taraxacum with Dongchimi fermentation and investigate Taraxacum's effects on protection of liver cell and controlling nitric oxide(NO) through experiments, thus checking whether it had values as a physiological active matter. The experimental materials include Taraxacum Dongchimi (TD) and Taraxacum fermented by Dongchimi (TDF). As for methodology, experiments were carried out to compare TD and TDF in components, protection effects for liver cells, anticancer effects on liver cells, and protection effects for brain cells in the aspects of liver function and immunity enhancement. Method : The experimental materials include Taraxacum Dongchimi (TD) and Taraxacum fermented by Dongchimi (TDF). As for methodology, experiments were carried out to compare TD and TDF in components, protection effects for liver cells, anti-cancer effects on liver cells, and protection effects for brain cells in the aspects of liver function and immunity enhancement. Results : As shown in the chromatogram results, each valid component content increased in Taraxacum fermented by Dongchimi (TDF) for each time section. Of them, the valid component content at 36.80 minutes was approximately 2.7 times higher in TDF at 21.8% than in Taraxacum Dongchimi (TD) at 8.28%. TDF generated more excellent protection effects against the toxicity that caused oxidative damage to the liver cell(HepG2) with t-BHP than TD. The survival rate was low in TD of $100{\mu}g/m{\ell}$ and $300{\mu}g/m{\ell}$ and increased to 23.3% in TDF of $100{\mu}g/m{\ell}$. The survival rate was the highest at $300{\mu}M$ with a significant difference of 68.1%(P<0.05). Both TD and TDF showed effects of controlling nitric oxide production according to concentration with TDF recording a higher rate of controlling nitric oxide production than TD. There were significant differences(P<0.05) in the effects of controlling nitric oxide production at 200 ug/ml, 400 ug/ml in both groups. Especially the result TDF of $400{\mu}g/m{\ell}$ was thus similar to those of butein, the positive control group. Conclusion : The result of this studies is that Taraxacum fermented by Dongchimi (TDF) increased the valid component content compared with the simple mixture(TD). The findings clearly show that it is a material with the effects of improving immunity and liver cell protection. If fermentation methods are further developed to use it as a functional material, it will be subject to more opportunities of being used in other functional foods and make a contribution to integrated medicinal food development.

• Journal of Intelligence and Information Systems
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• v.24 no.2
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• pp.1-19
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• 2018

Since stock movements forecasting is an important issue both academically and practically, studies related to stock price prediction have been actively conducted. The stock price forecasting research is classified into structured data and unstructured data, and it is divided into technical analysis, fundamental analysis and media effect analysis in detail. In the big data era, research on stock price prediction combining big data is actively underway. Based on a large number of data, stock prediction research mainly focuses on machine learning techniques. Especially, research methods that combine the effects of media are attracting attention recently, among which researches that analyze online news and utilize online news to forecast stock prices are becoming main. Previous studies predicting stock prices through online news are mostly sentiment analysis of news, making different corpus for each company, and making a dictionary that predicts stock prices by recording responses according to the past stock price. Therefore, existing studies have examined the impact of online news on individual companies. For example, stock movements of Samsung Electronics are predicted with only online news of Samsung Electronics. In addition, a method of considering influences among highly relevant companies has also been studied recently. For example, stock movements of Samsung Electronics are predicted with news of Samsung Electronics and a highly related company like LG Electronics.These previous studies examine the effects of news of industrial sector with homogeneity on the individual company. In the previous studies, homogeneous industries are classified according to the Global Industrial Classification Standard. In other words, the existing studies were analyzed under the assumption that industries divided into Global Industrial Classification Standard have homogeneity. However, existing studies have limitations in that they do not take into account influential companies with high relevance or reflect the existence of heterogeneity within the same Global Industrial Classification Standard sectors. As a result of our examining the various sectors, it can be seen that there are sectors that show the industrial sectors are not a homogeneous group. To overcome these limitations of existing studies that do not reflect heterogeneity, our study suggests a methodology that reflects the heterogeneous effects of the industrial sector that affect the stock price by applying k-means clustering. Multiple Kernel Learning is mainly used to integrate data with various characteristics. Multiple Kernel Learning has several kernels, each of which receives and predicts different data. To incorporate effects of target firm and its relevant firms simultaneously, we used Multiple Kernel Learning. Each kernel was assigned to predict stock prices with variables of financial news of the industrial group divided by the target firm, K-means cluster analysis. In order to prove that the suggested methodology is appropriate, experiments were conducted through three years of online news and stock prices. The results of this study are as follows. (1) We confirmed that the information of the industrial sectors related to target company also contains meaningful information to predict stock movements of target company and confirmed that machine learning algorithm has better predictive power when considering the news of the relevant companies and target company's news together. (2) It is important to predict stock movements with varying number of clusters according to the level of homogeneity in the industrial sector. In other words, when stock prices are homogeneous in industrial sectors, it is important to use relational effect at the level of industry group without analyzing clusters or to use it in small number of clusters. When the stock price is heterogeneous in industry group, it is important to cluster them into groups. This study has a contribution that we testified firms classified as Global Industrial Classification Standard have heterogeneity and suggested it is necessary to define the relevance through machine learning and statistical analysis methodology rather than simply defining it in the Global Industrial Classification Standard. It has also contribution that we proved the efficiency of the prediction model reflecting heterogeneity.

• Journal of Korean Society of Transportation
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• v.28 no.3
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• pp.169-183
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• 2010

Image-based traffic information collection systems have entered widespread adoption and use in many countries since these systems are not only capable of replacing existing loop-based detectors which have limitations in management and administration, but are also capable of providing and managing a wide variety of traffic related information. In addition, these systems are expanding rapidly in terms of purpose and scope of use. Currently, the utilization of image processing technology in the field of traffic accident management is limited to installing surveillance cameras on locations where traffic accidents are expected to occur and digitalizing of recorded data. Accurately recording the sequence of situations around a traffic accident in a freeway and then objectively and clearly analyzing how such accident occurred is more urgent and important than anything else in resolving a traffic accident. Therefore, in this research, existing technologies, this freeway attribute, velocity changes, volume changes, occupancy changes reflect judge the primary. Furthermore, We pointed out by many past researches while presenting and implementing an active and environmentally adaptive methodology capable of effectively reducing false detection situations which frequently occur even with the Gaussian Mixture model analytical method which has been considered the best among well-known environmental obstacle reduction methods. Therefore, in this way, the accident was the final decision. Also, environmental factors occur frequently, and with the index finger situations, effectively reducing that can actively and environmentally adaptive techniques through accident final judgment. This implementation of the evaluate performance of the experiment road of 12 incidents in simulated and the jang-hang IC's real-time accident experiment. As a result, the do well detection 93.33%, false alarm 6.7% as showed high reliability.

• Journal of the HCI Society of Korea
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• v.11 no.3
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• pp.13-22
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• 2016

Vocal and instrument apprenticeship in applied music has been accepted without significant changes since the introduction of applied music education to South Korea. Few discussions or suggestions about other types of teaching than 'one-to-one lessons' or 'education of apprentices by assigned specialists' have been made. Since the introduction of applied music education to South Korea late in the 1980s, the CAI(Computer Aided Instruction) courseware development for applied music education has not actively been under way. The area of applied music has also made rapid progress in terms of music producing or music videos using computers. Actually, the improved computer program is not positively applied to applied music education. This study aimed to present learning methods using the improved functions of music production softwares to improve the traditional apprenticeship system in the area of vocal training in applied music. In particular, it used the technique of auto tune-pitch shift developed for interval correction in sound sources. By giving real-time feedbacks concerning intervals or monitors visually after recording, it intended to present a learning method to induce improvement in accuracy of intervals in vocal training. This study is expected to present a method that allows vocal trainers to overcome temporal and spatial limitations in applied music and make their vocal training more efficient.

• Research in Community and Public Health Nursing
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• v.6 no.2
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• pp.173-182
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• 1995

Primary health care(PHC) has been established since A Health Law for rural residents has been legislated in 1980 following the WHO declaration, 'Health for All 2000'. in 1978. PHC services are presently assumed to be provided by 2038 Community Health Practitioners(CHP) to about 28% out of rural population in Korea. Most CHPs have confronted the adaptation process to the community being practiced although a CHP's role is to evoke community participation for the improvement of their health by themselves. So the purpose of this study is to describe and explain of the commitment of CHPs into the community. Data were collected by direct interview and tape-recording under subjects' permission till theoretical saturation were occured from 6 CHPs. The subjects were 41 years old and have served in the community for 9 years in average. Main questions and concepts were explored from data according to the procedure of the grounded theory methodology. The results are as follows. 1) The number of the main concepts were twenty four that identified Motive, Desire, Personal characteristics, Unfamiliarity, Denial, Feeling of isolation, Self-sacrifice, Kindness, Patience, Assimilation, Respect for the residents, Support by the family, Support by the residents, Achievement, Acceptance of realities, Use of resources, Inducement of cooperation from the residents, Changes of the difference from time orientation between CHP and residents, Attitude as a official, Technical support, Cost management, Satisfaction level, Acknowledgement by the residents and discrepancy. 2) The twenty four concepts were categorized to seven groups such as Motivation, Feeling of Heterogeneity, Self-discipline, Social support, Induced changes in the attitudes of residents, Familarity and Persistent discrepancy. 3) The categorized groups were analyzed on the base of the Causal Conditions, Central Phenomena, Contexts, Intervening Conditions, Action / Interaction Strategies, and Consequences. Central phenomenon in this study was identified to be the feeling of heterogeneity. Community health practitioners experienced unfamiliarity and denial from the community and felt themselves isolated in the first. In time, they won the trust of residents by their efforts including self-sacrifice, kindness, patience, and assimilation. Afterward, practitioners got self-confidence and familiarity with lesser feeling of heterogeneity. Nevertheless, practitioners could not commit themselves completely because of the persistent discrepancy between CHP and residents. 4) On the commitment process, the CHPs' feeling of heterogeneity were decresed and social support increesed and newly evolved induced change of residents through the continuous interaction between CHP and them The contribution of this study would be concluded as follows. 1) It is expected that effective strategies for more rapid committment into the community can be developed based on this study. 2) More easy committment would be possible for the newly appointed CHP through understanding of the committment process identified on this study.

• Trans-
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• v.11
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• pp.37-63
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• 2021

This paper focused on documentaries and for specific places and described the documentary shooting methodology from the perspective of a Cinematographer. 'Old Seoul Station' and 'DSME' (DAEWOO Shipbuilding & Marine Engineering Co., Ltd.) are monumental spaces that reflect the value of Korea modernization and are shared by Koreans' collective memories, unconsciousness, and unique feelings for the place. 'Old Seoul Station' has changed its place identity to a new space called "Culture Station Seoul 284." 'DSME' is a large-scale industrial complex that still functions actively, and it is like an organism that seeks to change according to changes in its industrial structure. and observe and record images of space related to place identity and the people related to it. It shows the construction of staring into a space in a particular place and continuously recording and placing moments of experience, such as the appearance of people working and resting. If it is not recorded through this, it allows us to see intangible narratives related to volatile place identity, and enables specific place experiences through theaters. This study focuses on production theory based on examples of documentary filming methods for these specific places.

• The Journal of the Acoustical Society of Korea
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• v.42 no.2
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• pp.102-111
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• 2023

Automatic Music Transcription (AMT) is a task that detects and recognizes musical note events from a given audio recording. In this paper, we focus on reducing the latency of real-time AMT systems on piano music. Although neural AMT models have been adapted for real-time piano transcription, they suffer from high latency, which hinders their usefulness in interactive scenarios. To tackle this issue, we explore several techniques for reducing the intrinsic latency of a neural network for piano transcription, including reducing window and hop sizes of Fast Fourier Transformation (FFT), modifying convolutional layer's kernel size, and shifting the label in the time-axis to train the model to predict onset earlier. Our experiments demonstrate that combining these approaches can lower latency while maintaining high transcription accuracy. Specifically, our modified model achieved note F1 scores of 92.67 % and 90.51 % with latencies of 96 ms and 64 ms, respectively, compared to the baseline model's note F1 score of 93.43 % with a latency of 160 ms. This methodology has potential for training AMT models for various interactive scenarios, including providing real-time feedback for piano education.