• Cartoon and Animation Studies
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• s.32
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• pp.189-220
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• 2013

It is expected that interests and supports for 'the creative economy' will increase considerably since the establishment of the Park Geun Hye Administration. According to a report with respect to its cultural policy handed in by the Minister of Culture to the president on March 28, 2013, the administration will set up a basic plan of establishing regional fusion-typed laboratories including such genres as story telling, animations, games, cartoons, performances, etc. in May this year, and opening contents Korea laboratories across the country by the first quarter in 2014 as part of its core task. Furthermore, it will focus on implementing such policies for training professional manpower as creative mentoring programs, expansion of education for field employees and expansion of a creative education for young students, including a plan to train 1,000 creative contents talents by 2017 as described in the report. Since the Comics Promotional Law took effect in August 2012, the Korea Culture and Content Agency and the Comics Industry have been establishing the third plan for medium and long term development of the comics industry together. One of the most important policy is about training professional manpower. "Joint Business with Creative Talents," in which the amount of 4.5 billion won was invested, has already been implemented, and "Support Business for Field Employees of Comics Creating Enterprises," in which the amount of 0.6 billion won was invested, has been performed so far through the Korea Comics Contents Agency upon the request of the Comics Industry. The government's plan to train professional manpower is interlocked with its foundation and employment policies, and thus, this will be a good opportunity for colleges and universities that have comics related majors, especially for those that need proper measures for bring their graduates a chance to get a job. Accordingly, it seems that if the government develops more aggressive policies, reflects this on the third medium and long term development plan of the comics industry, and then organizes policy and study meetings led by the learned societies to implement this, it will be able to generate a significant synergy effect. This Article will concentrate on first examining the flow and patterns of the policy to train special manpower by the comics industry, the Ministry of Culture and related institutions since the establishment of the Comics Promotional Law, analyzing some problems in the first and second medium and long term development plan of the comics industry to be implemented from 2003 through 2013 and the third medium and long term development plan to be announced in June 2013 to train professional manpower, and then suggesting an effective direction and some alternatives to train professional manpower in universities in a medium and long term way.

• Journal of Microbiology and Biotechnology
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• v.16 no.12
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• pp.1947-1953
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• 2006

There have been a number of studies of methods for recycling animal wastewater to provide new bioresources. In the present work, a marine algal culture medium, designated KEP II, was prepared by adding swine waste (3% v/v) fermented by soil bacteria to a dilution of f/2 culture medium (CT). When Phaeodactylum tricornutum was grown in batch culture in KEP II, the cells lasted long at the exponential phase producing the specific growth rate and biomass; the production of total amino acids and secondary metabolites rose up to 5-fold. It also substantially enhanced the maximum quantum yield of photo system (PS) II of P. tricornutum, greatly increased the level of thylakoid membranes containing PS, and stimulated the production of pyrenoids, including enzymes for $CO_2$ fixation in chloroplasts. KEP II should improve the cost efficiency of industrial mass batch cultures and the value of microalgae for long-term preservation of fresh aquaculture feed as well as production of anticancer and antioxidant agents. Specifically, a low-cost medium for growing the diatoms of aquaculture feed will be economically advantageous.

• The International Journal of Costume Culture
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• v.4 no.1
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• pp.44-60
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• 2001

The purpose of this study is to present suggestions to improve the problems the domestic department stores face by analyzing and comparing the status of the development of PB which is absolutely critical for the specialized domestic department stores to survive, and to search for the future course which may lead to boosting sales and profit by developing the strategic PB products. Selected for this study were atotal of 20 PB's out of domestic as well s foreign PB's in the 4 big department stores. The data were analyzed with SAS package employed as per the by items frequency, percent, mean and standard deviation. From the above study, following viewpoints can be taken into account for the future development of PB ; First, the active will of the excutive is basically necessary for successful development of PB, by relying on long-term investment. Second, the existing mid or low-price goods should be in line with the mid or high price one's development for domestic merchandising with focus on middle or high class society. Third, the stock burden, biggest problem of PB, can be solved by discount policy at optimum prices and success rate of merchandising prediction.

• Proceedings of the Korean Vacuum Society Conference
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• 2013.08a
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• pp.278.1-278.1
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• 2013

Among the prerequisites for stable neural interfacing are the long-term stability of electrical performance of and the excellent biocompatibility of conducting materials in implantable neural electrodes. Reduced graphene oxide offers a great potential for a variety of biomedical applications including biosensors and, particularly, neural interfaces due to its superb material properties such as high electrical conductivity, decent optical transparency, facile processibility, and etc. Nonetheless, there have been few systematic studies on the graphene-based neural interfaces in terms of biocompatibility of electrode materials and long term stability in electrical characteristics. In this research, we prepared the primary culture of rat hippocampal neurons directly on reduced graphene oxide films which is chosen as a model electrode material for the neural electrode. We observed that the viability of primary neuronal culture on the present structure is minimally affected by nanoscale graphene flakes below. These results implicate that the multilayer films of reduced graphene oxides can be utilized for the next-generation neural interfaces with decent biocompatibility and outstanding electrical performance.

• Safety and Health at Work
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• v.12 no.1
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• pp.20-27
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• 2021

Background: Incentive and penalty (I/P) programs are commonly used to increase employees' safety outcomes, but its influence on employees' safety outcomes is under-investigated. Moreover, under developed economies lack safety culture and there is dearth of literature focusing on empirical studies over there [1]. Based on these gaps, this study attempts to see the impact of I/P programs on safety outcomes in a developing country. Methods: The study was carried out in three stages, where Stage I revealed that selected 45 organizations were deficit of safety culture and practices, while only three firms were found good at safety practices. At Stage II, these three firms were divided in two clusters (groups), and were probed further at Stage III. At this stage group, one was manipulated by providing incentives (experimental group) and employees' responses in terms of safety motivation and performance were noticed. Results: It was observed that the experimental group's safety motivation and performance had improved (both for immediate and 1-month later performance). The results were further probed at Phase 3 (after 3 months), where it was found that the benefits of I/P programs were not long lasting and started replenishing. Conclusion: Findings of the study helped researchers conclude that safety incentives have only short-term influence on safety outcomes, while a long-term and permanent solution should be found.

• International Journal of Advanced Culture Technology
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• v.11 no.3
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• pp.18-25
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• 2023

The COVID-19 pandemic has had a significant impact on the educational landscape for students across the globe, leading to a shift towards long-term online learning. This study aims to examine the changes in the health status of college and university students before and after the transition to online classes. We conducted a survey questionnaire among 200 students enrolled at K University in Gangwon-do, including participants from both the Department of Visual Optics and the Department of Physical Therapy. The survey employed a 5-point Likert scale to evaluate a range of health-related factors, including physical and mental well-being, alterations in lifestyle, and academic performance. Both male and female students experienced a decline in physical strength and exercise during the online class period, while mental health and overall happiness showed improvement, particularly among female students. Notable shifts in lifestyle emerged, including an increased usage of electronic devices and enhanced familial connections. The study also shed light on intriguing trends related to academic accomplishments and adherence to official quarantine guidelines. In sum, the findings of this study offer valuable foundational information for the maintenance of students' well-being during online learning, as well as the development of effective strategies for online education in future academic settings.

• International Journal of Advanced Culture Technology
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• v.11 no.1
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• pp.110-134
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• 2023

North Korea's development and deployment of nuclear weapons increases Pyongyang's diplomatic bargaining leverage. It is a strategic response to counteract the great expansion in US leverage with the collapse of the USSR. Post-Cold War American influence and hegemony is justified partly by claiming victory in successfully containing an allegedly imperialist Soviet Union. The US created and led formal and informal international institutions as part of its decades-long containment grand strategy against the USSR. The US now exploits these institutions to expedite US unilateral global preeminence. Third World regimes perceived as remnants of the Cold War era that resist accommodating to American demands are stereotyped as rogue states. Rogue regimes are criminal offenders who should be brought to justice, i.e. regime change is required. The initiation of summit diplomacy between US President Trump and North Korean leader Kim Jong-un occurred following the January 2018 Hawaiian ballistic missile false alarm. This event and its political consequences illustrate the efficacy of nuclear weapons as bargaining leverage for so-called rogue actors. North Korea is highly unlikely to surrender those weapons that were the instigation for the subsequent summit diplomacy that occurred. A broader, critical trend-focused strategic analysis is necessary to adopt a longer-term view of the on-going Korean nuclear crisis. The aim would be to conceptualize long-term policies that increase the probability that nuclear weapons capability becomes a largely irrelevant issue in interaction between Pyongyang, Seoul, Beijing and Washington.

• International Journal of Advanced Culture Technology
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• v.11 no.4
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• pp.393-405
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• 2023

Accurate prediction of wind speed and power is vital for enhancing the efficiency of wind energy systems. Numerous solutions have been implemented to date, demonstrating their potential to improve forecasting. Among these, deep learning is perceived as a revolutionary approach in the field. However, despite their effectiveness, the noise present in the collected data remains a significant challenge. This noise has the potential to diminish the performance of these algorithms, leading to inaccurate predictions. In response to this, this study explores a novel feature engineering approach. This approach involves altering the data input shape in both Convolutional Neural Network-Long Short-Term Memory (CNN-LSTM) and Autoregressive models for various forecasting horizons. The results reveal substantial enhancements in model resilience against noise resulting from step increases in data. The approach could achieve an impressive 83% accuracy in predicting unseen data up to the 24th steps. Furthermore, this method consistently provides high accuracy for short, mid, and long-term forecasts, outperforming the performance of individual models. These findings pave the way for further research on noise reduction strategies at different forecasting horizons through shape-wise feature engineering.

• The Journal of the Convergence on Culture Technology
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• v.10 no.1
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• pp.617-623
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• 2024

Identifying emotions through speech poses a significant challenge due to the complex relationship between language and emotions. Our paper aims to take on this challenge by employing feature engineering to identify emotions in speech through a multimodal classification task involving both speech and text data. We evaluated two classifiers-Convolutional Neural Networks (CNN) and Long Short-Term Memory (LSTM)-both integrated with a BERT-based pre-trained model. Our assessment covers various performance metrics (accuracy, F-score, precision, and recall) across different experimental setups). The findings highlight the impressive proficiency of two models in accurately discerning emotions from both text and speech data.

• International Journal of Advanced Culture Technology
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• v.12 no.3
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• pp.148-158
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• 2024

We investigate Autism Spectrum Disorder (ASD), which is typified by deficits in social interaction, repetitive behaviors, limited vocabulary, and cognitive delays. Traditional diagnostic methodologies, reliant on expert evaluations, frequently result in deferred detection and intervention, particularly in South Korea, where there is a dearth of qualified professionals and limited public awareness. In this study, we employ advanced deep learning algorithms to enhance early ASD screening through automated video analysis. Utilizing architectures such as Convolutional Long Short-Term Memory (ConvLSTM), Long-term Recurrent Convolutional Network (LRCN), and Convolutional Neural Networks with Gated Recurrent Units (CNN+GRU), we analyze video data from platforms like YouTube and TikTok to identify stereotypic behaviors (arm flapping, head banging, spinning). Our results indicate that the LRCN model exhibited superior performance with 79.61% accuracy on the augmented platform video dataset and 79.37% on the original SSBD dataset. The ConvLSTM and CNN+GRU models also achieved higher accuracy than the original SSBD dataset. Through this research, we underscore AI's potential in early ASD detection by automating the identification of stereotypic behaviors, thereby enabling timely intervention. We also emphasize the significance of utilizing expanded datasets from social media platform videos in augmenting model accuracy and robustness, thus paving the way for more accessible diagnostic methods.