• SUVANNABHUMI
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• v.10 no.2
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• pp.181-213
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• 2018

How to study Southeast Asia (SEA)? The need to explore and identify methodologies for studying SEA are inherent in its multifaceted subject matter. At a minimum, the region's rich cultural diversity inhibits both the articulation of decisive defining characteristics and the training of scholars who can write with confidence beyond their specialisms. Consequently, the challenges of understanding the region remain and a consensus regarding the most effective approaches to studying its history, identity and future seem quite unlikely. Furthermore, "Area Studies" more generally, has proved to be a less attractive frame of reference for burgeoning scholarly trends. This paper will propose a new tool to help address these challenges. Even though the science of artificial intelligence (AI) is in its infancy, it has already yielded new approaches to many commercial, scientific and humanistic questions. At this point, AI has been used to produce news, generate better smart phones, deliver more entertainment choices, analyze earthquakes and write fiction. The time has come to explore the possibility that AI can be put at the service of the study of SEA. The paper intends to lay out what would be required to develop SEABOT. This instrument might exist as a robot on the web which might be called upon to make the study of SEA both broader and more comprehensive. The discussion will explore the financial resources, ownership and timeline needed to make SEABOT go from an idea to a reality. SEABOT would draw upon artificial neural networks (ANNs) to mine the region's "Big Data", while synthesizing the information to form new and useful perspectives on SEA. Overcoming significant language issues, applying multidisciplinary methods and drawing upon new yields of information should produce new questions and ways to conceptualize SEA. SEABOT could lead to findings which might not otherwise be achieved. SEABOT's work might well produce outcomes which could open up solutions to immediate regional problems, provide ASEAN planners with new resources and make it possible to eventually define and capitalize on SEA's "soft power". That is, new findings should provide the basis for ASEAN diplomats and policy-makers to develop new modalities of cultural diplomacy and improved governance. Last, SEABOT might also open up avenues to tell the SEA story in new distinctive ways. SEABOT is seen as a heuristic device to explore the results which this instrument might yield. More important the discussion will also raise the possibility that an AI-driven perspective on SEA may prove to be even more problematic than it is beneficial.

• Strategy21
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• s.46
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• pp.239-276
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• 2020

The failure of early economic sanctions aimed at hurting the overall economies of targeted states called for a more sophisticated design of economic sanctions. This paved way for the advent of 'smart sanctions,' which target the supporters of the regime instead of the public mass. Despite controversies over the effectiveness of economic sanctions as a coercive tool to change the behavior of a targeted state, the transformation from 'comprehensive sanctions' to 'smart sanctions' is gaining the status of a legitimate method to impose punishment on states that do not conform to international norms, the nonproliferation of weapons of mass destruction in this particular context of the paper. The five permanent members of the United Nations Security Council proved that it can come to an accord on imposing economic sanctions over adopting resolutions on waging military war with targeted states. The North Korean nuclear issue has been the biggest security threat to countries in the region, even for China out of fear that further developments of nuclear weapons in North Korea might lead to a 'domino-effect,' leading to nuclear proliferation in the Northeast Asia region. Economic sanctions had been adopted by the UNSC as early as 2006 after the first North Korean nuclear test and has continually strengthened sanctions measures at each stage of North Korean weapons development. While dubious of the effectiveness of early sanctions on North Korea, recent sanctions that limit North Korea's exports of coal and imports of oil seem to have an impact on the regime, inducing Kim Jong-un to commit to peaceful talks since 2018. The purpose of this paper is to add a variable to the factors determining the success of economic sanctions on North Korea: preventing North Korea's evasion efforts by conducting illegal transshipments at sea. I first analyze the cause of recent success in the economic sanctions that led Kim Jong-un to engage in talks and add the maritime element to the argument. There are three conditions for the success of the sanctions regime, and they are: (1) smart sanctions, targeting commodities and support groups (elites) vital to regime survival., (2) China's faithful participation in the sanctions regime, and finally, (3) preventing North Korea's maritime evasion efforts.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.19 no.1
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• pp.32-43
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• 2020

The transfer time is an important factor in establishing public transportation planning and policy. Therefore, in this study, the influencing factors of the transfer time for transit users were identified using smart card data, and the estimation results for the transfer time using the deep learning method such as deep neural network models were compared with traditional regression models. First, the intervals and the distance to the bus stop had positive effects on the subway-to-bus transfer time, and the number of bus routes had a negative effect. This also showed that the transfer time is affected by the area in which the subway station exists. Based on the influencing factors of the transfer time, the deep learning models were developed and their estimation results were compared with the regression model. For model performance, the deep learning models were better than those of the regression models. These results can be used as basic data for transfer policies such as the differential application of transit allowance times according to region.

• Management & Information Systems Review
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• v.37 no.2
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• pp.125-147
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• 2018

This study was intended to examine the structural relationship between fan citizenship and sports marketing achievement. For that, 220 questionnaires were distributed to the fans of Lotte Giant in Busan region and 205 questionnaires were used finally. The hypotheses were validated by using SPSS 25.0 and Smart PLS 2.0 based on the study model. All hypotheses were adopted, except for 4 hypotheses(Hypothesis 5-3, Hypothesis 6-1, Hypothesis 6-2, and Hypothesis 6-3), among a total of 17 hypotheses. For that, the results were derived as below: First, fan citizenship had a positive(＋) influence on team equity(Hypothesis 1), sponsor assets(Hypothesis 2), and community equity(Hypothesis 3) as a whole. Second, team equity had a positive(＋) influence on sponsor assets(Hypothesis 4) in all respects, and furthermore, had a positive(＋) influence on local image(Hypothesis 5-1) and contribution to local community(Hypothesis 5-2). Meanwhile, team equity did not have a statistically significant influence on social interchange(Hypothesis 5-3. Finally, sponsor assets and community equity were found to have the relationship as follows: No statistically significant relationship was observed between corporate image and community equity. Corporate awareness had a positive(＋) influence as a whole. The results of this study are expected to provide comprehensive understanding and theoretical and practical implications of the influence that fan citizenship would have on sports marketing achievement.

• Management & Information Systems Review
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• v.32 no.1
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• pp.19-41
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• 2013

The primary purpose of this study is to identify the influencing factors on the acceptance behavior of user in smartwork. For this purpose, a research model and hypotheses are developed based on relevant literature reviews. The data have been collected from 320 potential users and respondents were employee of Daejeon and Chungnam region. The results of hypotheses testing through covariance structural model analysis are summarized as follows. First, individual innovativeness has positive influence upon perceived ease of use and acceptance intention of smartwork, and self efficacy has positive influence upon perceived ease of use. Second, subjective norm of social influence has positive influence upon perceived ease of use and image has positive influence upon perceived ease of use and perceived usefulness. Third, number of exception of task characteristics has positive influence upon perceived ease of use and autonomy has positive influence upon perceived usefulness. Lastly, perceived ease of use has positive effect on the perceived usefulness and acceptance intention, and perceived usefulness positively related to acceptance intention in smartwork. Based on the findings, this study ends with theoretical and practical implications, as well as limitations and future research directions.

• Smart Media Journal
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• v.12 no.11
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• pp.185-197
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• 2023

This study was conducted using text mining and network theory to extract useful information for application for occupancy and performance of permit tasks contained in the permit contents from the permit register, which is used only for the simple purpose of recording occupancy permit information. Based on text mining, we analyzed and compared the frequency of vocabulary occurrence and topic modeling in five regions, including Seoul, Gyeonggi, Gyeongsang, Jeolla, Chungcheong, and Gangwon, as well as normalization processes such as stopword removal and morpheme analysis. By applying four types of centrality algorithms, including stage, proximity, mediation, and eigenvector, which are widely used in network theory, we looked at keywords that are in a central position or act as an intermediary in the network. Through a comprehensive analysis of vocabulary appearance frequency, topic modeling, and network centrality, it was found that the 'installation' keyword was the most influential in all regions. This is believed to be the result of the Ministry of Environment's permit management office issuing many permits for constructing facilities or installing structures. In addition, it was found that keywords related to road facilities, flood control facilities, underground facilities, power/communication facilities, sports/park facilities, etc. were at a central position or played a role as an intermediary in topic modeling and networks. Most of the keywords appeared to have a Zipf's law statistical distribution with low frequency of occurrence and low distribution ratio.

• Smart Media Journal
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• v.13 no.2
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• pp.68-84
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• 2024

This paper describes the development of a system and algorithms for high-quality welfare services by recognizing behavior development indicators (activity, sociability, danger) in children aged 0 to 2 years old using action recognition technology. Action recognition targeted 11 behaviors from lying down in 0-year-olds to jumping in 2-year-olds, using data directly obtained from actual videos provided for research purposes by three nurseries in the Gwangju and Jeonnam regions. A dataset of 1,867 actions from 425 clip videos was built for these 11 behaviors, achieving an average recognition accuracy of 97.4%. Additionally, for real-world application, the Edge Video Analyzer (EVA), a behavior analysis device, was developed and implemented with a region-specific random frame selection-based PoseC3D algorithm, capable of recognizing actions in real-time for up to 30 people in four-channel videos. The developed system was installed in three nurseries, tested by ten childcare teachers over a month, and evaluated through surveys, resulting in a perceived accuracy of 91 points and a service satisfaction score of 94 points.

• Journal of the Society of Disaster Information
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• v.16 no.3
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• pp.479-492
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• 2020

Purpose: The purpose of this study is to analyze the impact of regional characteristics on population movement on the Seoul metropolitan areas. Method: To this end, 66 basic entities in the Seoul metropolitan area were divided into three regions by analyzing the demographic movement data from 2010 to 2016 and the factors for determining population movement within and between regions were identified by applying a stepwise regression technique. Result: The major analysis confirmed that the increase in the number of apartments in all areas of the Seoul metropolitan area, the increase in the number of single-family homes, the increase in the number of employees, the increase in manufacturers, the growth rate of knowledge, culture, and leisure industries, the increase rate of GRDP, and the opening of new subway stations. In particular, the growth rate of the number of apartments, the growth rate of the knowledge, culture and leisure industries, the increase rate of GRDP, and the opening of new subway stations played a positive role in increasing population inflow. Conclusion: The result showed that by region, the growth rate of knowledge, culture and leisure industries contributed greatly to the inflow of population in the first region, and that the opening of new subway stations and the increase of GRDPs were the main factors. The increase in the number of apartments and subway stations were the main factors in the three areas.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.4
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• pp.603-610
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• 2018

The development of industry and the increase in the use of fossil fuels have accelerated the process of global warming and climate change, resulting in more frequent and intense natural disasters than ever before. Since electricity facilities are often installed outdoors, they are heavily influenced by natural disasters and the number of related accidents is increasing. In this paper, we analyzed the statistical status of domestic electrical fires, electric shock accidents, and electrical equipment accidents and hence analyzed the risk associated with climate change. Through the analysis of the electrical accidental data in connection with the various regional (metropolitan) climatic conditions (temperature, humidity), the risk rating and charts for each region and each equipment were produced. Based on this analysis, a basic electric risk prediction model is presented and a method of displaying an electric hazard prediction map for each region and each type of electric facilities through a website or smart phone app was developed using the proposed analysis data. In addition, efforts should be made to increase the durability of the electrical equipment and improve the resistance standards to prevent future disasters.

• Korean Journal of Acupuncture
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• v.38 no.3
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• pp.151-161
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• 2021

Objectives : The effects of a combined stimulation of 658 nm, 830 nm, 904 nm, and 1064 nm laser acupuncture treatment (LAT) and electroacupuncture treatment (EAT) on GB39 and GB34 on neuropathic pain in rats induced by tibial and sural nerve transection were studied in this paper. Methods : To express a neuropathic pain model, surgery was performed to transection rats' tibial and sural nerves. The rats were divided into normal group, control group, and experimental groups. In addition, the experimental groups were divided into 658 nm laser and electroacupuncture (LAT658+EAT), 830 nm laser and electroacupuncture (LAT830+EAT), 904 nm laser and electroacupuncture (LAT904+EAT), and 1064 nm laser and electroacupuncture (LAT830+EAT). For the treatment of the experimental groups, electroacupuncture and different laser wavelengths were alternately applied to GB34 and GB39 twice a week for 3 weeks for 1 minute 30 seconds. The withdrawal response of neuropathic rats' legs by acetone stimulation was observed, as well as the c-Fos in the central gray region in the midbrain of neuropathic rats together with Bax, Bcl2, and mGluR5 expressions associated with apoptosis. Results : Compared with the control group, a significant decrease in the frequency of paw withdrawal in response to acetone allodynia was observed in LAT658+EAT and LAT830+EAT groups in 6th times, LAT904+EAT group in 2^nd, 3^rd, and 6^th times, and LAT1064+EAT group in 2^nd and 6^th times, respectively. For c-fos positive cells in the central gray region, a significant decrease was observed in LAT830+EAT, LAT904+EAT, and LAT1064+EAT groups in comparison with the control group. In Bax expression, LAT1064+EAT group showed a significant decrease compared to the control group. In Bcl-2 expression, the LAT658+EAT,the LAT904+EAT, and the LAT1064+EAT groups increased significantly compared to the control group. LAT830+EAT, LAT904+EAT, and LAT1064+EAT groups showed significantly increased mGlu5 expression compared to the control group. Conclusions : The combination of laser for each wavelength and electroacupuncture alternately performed in this study is thought to be effective in improving neuropathic pain and apoptosis.