• Journal of Navigation and Port Research
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• v.43 no.3
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• pp.179-185
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• 2019

Currently, despite having active movements related to port logistics security, there is lack of awareness, education, and security systems related to port technology. Before implementing port logistics security, a mutual authentication agreement should be reached through the establishment of an integrated network that can share port logistics security information in real time. In order to achieve port competitiveness and strengthen logistics service, establishment of national strategy for logistics security is necessary. However, there is an urgent need to raise the security consciousness among the port logistics organization members and enhance the information security ability which is a crucial feature of the port logistics organization. Therefore, the objective of this study is to analyze the factors affecting the information security capacity of port logistics organization members. Even though the analysis rejected the hypothesis that security regulations affect security awareness, the security activities and security awareness were significantly correlated. It also has a positive impact on the relationship between security norms and security abilities, and security awareness and security abilities.

• The Journal of the Korea Contents Association
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• v.19 no.6
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• pp.655-662
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• 2019

Based on phenomenological view a research utilizing qualitative methodology to understand about parenting difficulty and stress through an in-depth interview with grandmother in low-income grandparent-headed family was administrated. The results indicated that experience with parenting stress of grandmother in low-income grandparent-headed family lead to economic hardship, grandchildren who are a barrier of old-age, and desolate parenting. This article implicates that a basis to guide a direction and role of social welfare intervention to alleviate parenting stress of grandmother in grandparent-headed family and to improve a life quality emergent on the results could be provided. Several considerations on this finding shows as follows. First, with currently active support project re-monitored and re-checked, support program could be needed to enlarge. Second, support program development and social support to decrease parenting stress and depression of grandmother in grandparent-headed family could be necessary. With educational and cultural as well as mentoring program helpful for grandmother parenting designed, a support system to complement non-sufficient support network will be established together.

• Convergence Security Journal
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• v.19 no.1
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• pp.145-152
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• 2019

In the era of the 3rd Offset Strategy led by the 4th Industrial Revolution, the use of robots with AI and autonomous abilities is becoming more active in military field. The 3rd Offset Strategy is based on the technology of the 4th Industrial Revolution, and S. Korea is heavily dependent on US military technology and is directly and indirectly influenced by the military revolutionary strategy and the alliance relationship. There are many issues that need to be addressed beyond technical maturity for both strategies to be successfully applied in the military. However, there are few discussions about these limitations in many studies and media reports in comparison with the advantages of the techniques. This research describes robot ethics & technology unbalance, problems of autonomous functions, display fatigue induced by VR/AR/MR, cyber/network security to be solved for successful strategies, also the solutions are addressed.

• The Bulletin of The Korean Astronomical Society
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• v.44 no.1
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• pp.35.4-35.4
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• 2019

We have conducted a 22 GHz very long baseline interferometry (VLBI) survey of 281 local (z < 0.05) active galactic nuclei (AGNs) selected from the Swift Burst Alert Telescope (BAT) 70-month ultra hard X-ray (14-195 keV) catalog. The main goal is to investigate the relation between the strengths of black hole accretion and the parsec-scale nuclear jet, which is expected to tightly correlate but has not been observationally confirmed yet. The BAT AGN Spectroscopic Survey (BASS) provides the least biased AGN sample against obscuration including both Seyfert types, hence it makes an ideal parent sample for studying the nuclear jet properties of an overall AGN population. Using the Korean VLBI Network (KVN), the KVN and VERA Array (KaVA), and the Very Long Baseline Array (VLBA), we observed 281 objects with a 22 GHz flux > 30 mJy, detecting 11 targets (~4% of VLBI detection rate). This implies that the fraction of X-ray AGNs which are currently ejecting a strong nuclear jet is very small. Although our 11 sources span a wide range of pc-scale morphological types, from compact to complex, they lie on a tight linear relation between accretion luminosity and nuclear jet luminosity. Our finding may indicate that the power of nuclear jet is directly responsible for the amount of black hole accretion. We also have probed the fundamental plane of black hole activity in VLBI scale (e.g., few milli-arcsecond). The results from our high-frequency VLBI radio study support that the change of jet luminosity and size follows what is predicted by the AGN evolution scenario based on the Eddington ratio (ƛ$_{Edd}$) - column density ($N_H$) plane, proposed by a previous study.

• Journal of Information Technology Applications and Management
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• v.25 no.3
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• pp.43-54
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• 2018

In recent years, international cooperation has become important not only at the humanitarian level but also at the socio-economic level. As a result, major foreign countries are increasing capital-intensive international cooperation. In this environment, Korea needs to look for differentiated international cooperation plans centered on sustainable talent cultivation and move away from capital-based international cooperation. In this study, we analyzed the case of HRD (Human Resource Development) center in Cambodia as an international cooperation model between industry-academia-college for training software (SW) workforce. The HRD Center in Cambodia is an educational institution that fosters SW talent and can be viewed as an international cooperation model that can influence the ICT industry in Cambodia as an educational platform. In fact, 190 people who have been hired so far have entered various fields. 97% of graduates have been satisfied with HRD center and 90% of them are willing to recommend the center. In particular, as highlighted in the case study, the HRD Center has had a positive effect on not only cultivating self-initiated learning-based SW talent, but also formulating positive image of Korea and Korean companies thereby facilitating entry into the global market. The HRD Center in Cambodia has developed a virtuous cycle of fostering human resources, providing education, advancing industry and building a cooperative network. Korea has transformed into a platform for international cooperation and human resource development and education by providing active support and aid. This case study will be utilized as a new model of international cooperation with SW expert training platform for Korea.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.24 no.7
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• pp.842-848
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• 2020

Music markets have entered the era of streaming. In order to select and propose music that suits the taste of music consumers, there is an active demand and research on an automatic music genre classification system. We propose a method to improve the accuracy of genre unclassified songs, which was a lack of the previous system, by using a generative adversarial network (GAN) to further develop the automatic voting system for deep learning music genre using Softmax proposed in the previous paper. In the previous study, if the spectrogram of the song was ambiguous to grasp the genre of the song, it was forced to leave it as an unclassified song. In this paper, we proposed a system that increases the accuracy of genre classification of unclassified songs by converting the spectrogram of unclassified songs into an easy-to-read spectrogram using GAN. And the result of the experiment was able to derive an excellent result compared to the existing method.

• The Journal of Internal Korean Medicine
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• v.41 no.6
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• pp.1289-1299
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• 2020

Background: Hemorrhoid surgery is a frequently performed surgery in Korea, second only to cataract surgery. However, it has serious complications, including bleeding, infection, anal stenosis, and urinary retention, so active conservative therapies are in need at an early stage. Case summary: Thirteen patients with anal disease complained of main symptoms of pain, bleeding, and prolapse, with additional complaints of itching and mucus discharge. An herbal medicine mixture of Eulja-tang and Hwangryeonhaedok-tang was administered twice daily, and dry cupping therapy, acupuncture, and hot pack placements were administered on pelvic and sacral regions once weekly for four weeks. The symptoms were evaluated before and each week after the treatments. The treatments had statistically significant therapeutic effects. Conclusion: Korean medicine treatment-effectively alleviating the symptoms of anal disease, such as pain, bleeding, and prolapse-may represent an alternative therapy for conservative treatments in the early stages of anal disease.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.21 no.3
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• pp.67-74
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• 2011

In this paper, we presented a dynamic cyber attack tree which can describe an attack scenario flexibly for an active cyber attack model could be detected complex and transformed attack method. An attack tree provides a formal and methodical route of describing the security safeguard on varying attacks against network system. The existent attack tree can describe attack scenario as using vertex, edge and composition. But an attack tree has the limitations to express complex and new attack due to the restriction of attack tree's attributes. We solved the limitations of the existent attack tree as adding an threat occurrence probability and 2 components of composition in the attributes. Firstly, we improved the flexibility to describe complex and transformed attack method, and reduced the ambiguity of attack sequence, as reinforcing composition. And we can identify the risk level of attack at each attack phase from child node to parent node as adding an threat occurrence probability.

• Journal of Information Science Theory and Practice
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• v.8 no.4
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• pp.40-54
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• 2020

This proposed work aims to understand the Korean Academic Circle (KAC)'s research trend on the "One Belt One Road" (OBOR) by employing a quantitative analysis of the recent research articles published by the KAC. To do so, this proposed research has used the well-known network analysis software, Ucinet 6, by which the papers on related topics are collected and filtered from Korea Citation Index. To perform the analytical selection, the proposed work has chosen 'keywords' as the core research object and performed analysis from transverse to longitudinal aspects, and from holistic to individual aspects, respectively; and from this, the KAC's research trend on OBOR is derived. The present work has established that the KAC's attention is continuously increasing on OBOR and has sustainability. Centered on the OBOR, Korean researchers have spread their studies in various dimensions ranging from the issues like China's political economy to Sino-Korea economic and trade exchanges, and so on. The KAC has even combined OBOR with Korea's international development initiatives, which can help Korea benefit from active and sustainable cooperation with China. Moreover, the proposed work has found that Korean researchers have also actively expressed their growing attention, highlighted Korea's interest, and showed concern about China hegemony and Sinocentrism in their recent documented research works.

• Journal of the Korea Society of Computer and Information
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• v.26 no.1
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• pp.163-170
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• 2021

As a big data is being used in various industries, big data market is expanding from hardware to infrastructure software to service software. Especially it is expanding into a huge platform market that provides applications for holistic and intuitive visualizations such as big data meaning interpretation understandability, and analysis results. Demand for big data extraction and analysis using social media such as SNS is very active not only for companies but also for individuals. However despite such high demand for the collection and analysis of social media data for user trend analysis and marketing, there is a lack of research to address the difficulty of dynamic interlocking and the complexity of building and operating software platforms due to the heterogeneity of various social media service interfaces. In this paper, we propose a method for developing a framework to operate the process from collection to extraction and classification of social media data. The proposed framework solves the problem of heterogeneous social media data collection channels through adapter patterns, and improves the accuracy of social topic extraction and classification through semantic association-based extraction techniques and topic association-based classification techniques.