• Journal of the Korea Society of Computer and Information
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• v.11 no.4 s.42
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• pp.155-164
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• 2006

VoIP technology is Eight New Services among Ubiquitous-IT839 strategies. This paper tested wiretapping or VoIP service in connected a soft phone and LAN and WAN sections, Internet telephones and a device. IP PBX, a banner operator network to have been connected to VoIP Internet network. As a result of having experimented on wiretapping of VoIP networks, Vulnerability was found. and a wiretapping by attacks of a hacker was succeeded in a terminal and proxy and attachment points of a VoIP network like a hub to follow a CVE list. Currently applied a security plan of an each wiretapping section in viewpoints of 6 security function of Access Control. Confidentiality, Authentication. Availability, Integrity. Non-repudiation in VoIP networks named to 070. Prevented wiretapping of contents by the results, the AES encryption that executed wiretapping experiment about a packet after application of a security plan. Prevented wiretapping, and kept security and audit log. and were able to accomplish VoIP information protection to network monitoring and audit log by an access interception and qualification and message hash functions and use of an incoming refusal.

• Journal of the wind engineering institute of Korea
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• v.22 no.4
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• pp.163-169
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• 2018

In this study, wind loads exerted on the offshore wind turbine rotor in parked condition were predicted with variations of wind speeds, yaw angles, azimuth angle, pitch angles, and power of the atmospheric boundary layer profile. The calculated wind loads using blade element theorem were compared with those of estimated aerodynamic loads for the simplified blade shape. Wind loads for an NREL's 5 MW scaled offshore wind turbine rotor were also compared with those of NREL's FAST results for more verification. All of the 6-component wind loads including forces and moments along the three axis were represented on a non-rotating coordinate system fixed at the apex of rotor hub. The calculated wind loads are applicable for the dynamic analysis of the wind turbine system, or obtaining the over-turning moment at the foundation of support structure for wind turbine system.

• Journal of Korean Library and Information Science Society
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• v.52 no.1
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• pp.1-26
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• 2021

In most countries, public libraries have played a role as a hub of knowledge and information, complex culture of local communities, and a third place for meeting and communication. And recent public libraries are focusing on enhancing their core competencies and expanding services using digital technologies to meet the era of digital transformation and the 4th industrial revolution. However, after the COVID-19 pandemic occurred, all public libraries are repeatedly closed, reopened, and partially closed, and all resources are devoted to providing non-contact, digital and online alternative services, and are expected to continue in the future. As a result, future public libraries are bound to face a trilemma in which digital expandability, complex cultural space, and importance as a place of knowledge and information service are conflicting. This study discoursed on the public library trilemma in the post-COVID-19 era and suggested ways to overcome it. The orientation of the future public library is the fusion and harmony of multiplicity and multipurpose, place and space, knowledge & information and complex culture, face-to-face service and remote service. The main body of a public library is not the finger (digital and non-contact), but the moon (knowledge information center).

• Proceedings of the Korea Water Resources Association Conference
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• 2020.06a
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• pp.74-74
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• 2020

싱가포르의 물분야는 선도적 글로벌 하이드로허브(Global hydrohub)로, 글로벌 물시장에서 싱가포르의 위상을 견고하게 하면서, 지속적으로 괄목할만한 성장세를 이어가고 있다. 200개 이상의 물관련 기업, 25개 이상의 연구소와 더불어, 싱가포르 물분야는 2018년까지 25억 싱가포르달러의 부가가치 창출과 14,400개의 일자리를 창출하면서, 세계 각국으로부터 투자를 유치하고 있다. 또한, 싱가포르는 2006년 이래 국립연구재단(National Research Fund: NRF)에 6억 7천만 싱가포르 달러만큼 기금을 누적하여 2020년에는 28억 싱가포르달러의 부가가치 창출과 15,000개 일자리 창출이라는 목표를 달성 할 수 있을 것으로 예상된다. 이와 더불어 연구, 혁신 및 기업 (Research, Innovation, and Enterprise: RIE) 2020 계획을 달성하기 위하여, 싱가포르 국가 물기관인 PUB, 경제개발이사회(Economic Development Board: EDB) 및 기업싱가포르(Enterprise Singapore)는 싱가포르의 물분야 강점을 활용하여 다음과 같은 세 가지 분야에 초점을 맞추고 있다. 즉 1)"글로벌 국가가 요구하는 솔루션 개발", 2)"기술의 상업화(commercialization)"와 수출"을 가속화하고 3)"다양한 역량과 재능을 육성"하는 것이다. 본 연구는 싱가포르 PUB의 자국 물기업 지원을 위한 전략사례를 분석함으로써 한국 물분야 SOC공공기관의 인프라 건설 및 운영 노하우를 활용한 물분야 부가가치 창출 및 일자리 확대를 통해 현(現)정부의 경제정책 기조인 물분야에 대한 혁신성장과 일자리 창출 방안 마련에 기여하고자 한다. 또한, 본 연구를 통해 물분야 대표적 성공사례인 싱가포르 물분야 공공기관의 운영정책과 PUB의 경영전략을 분석하여, 국내 물기업의 해외진출 활성화를 위한 지원전략 수립의 기초자료를 제공하고자 한다.

• Journal of Korea Port Economic Association
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• v.24 no.2
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• pp.175-192
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• 2008

Today's individual firms no longer compete as solely autonomous entities, but rather as supply chain. As such the competitive position of a port is not only determined by its internal strengths but also it is also affected by its links in a global supply chin. In other words, port competitiveness is becoming increasingly dependent on external coordination and control of the whole supply chain. The main purpose of this paper is to examine how a port embeds itself into supply chain in order to strengthen its competitive position by focusing on Dubai port case. This paper found that Dubai port used three phases-insertion, integration and dominance-as a strategies for how it can embedded into global supply chain successfully. Dubai's global supply chain strategies give some implications for the further development of the Port of Gwangyang. First, the Port of Gwangyang should fully utilize symbiotic relationship with Gwangyang free Economic Zone. Second, the integration between Korea Container Terminal Authority and GYFEZ can be recommended for fast decision-making and providing a one-stop-service. Finally, Gwangyang should pursue an aggressive supply chain strategy, aims at dominance in the regional port network through port alliance with small and medium ports in neighboring area.

• Proceedings of the Plant Resources Society of Korea Conference
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• 2018.04a
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• pp.51-51
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• 2018

2015년 기준 우리나라의 고사리 재배면적은 3,276ha 수준으로 그중 전라북도의 고사리 재배는 재배면적 285ha이며 연간 생산량 1,985톤으로 전국 생산량의 21%를 차지하고 있어 전라북도의 산채 재배작목 중 중요한 비중을 차지하고 있다. 고사리(Ferns)는 고사리 속(Pteridium spp.)에 속하는 양치식물의 총칭으로서 우리나라에는 22과 70속 272종이 분포되어 있는 것으로 보고되었다. 고사리의 어린 순에는 가식부 100g 당 칼슘 15.0mg, 칼륨 185.0mg 등이 함유되어 있으며 골다공증, 심혈관질환 등에 효과가 있고 식이섬유로 인해 변비 예방에도 유용한 것으로 알려져 있다. 고사리 뿌리에서 추출한 전분은 중국 및 일본 등지에서 면류나 제과용으로 이용되고 있어 고사리 재배의 부가가치를 향상시킬 수 있을 것으로 기대되고 있다. 최근 인력 의존도가 상대적으로 적은 고사리 재배면적이 늘어나고 있는 추세이나 종근의 파종량에 대한 기준이 제시되지 않아 경영비 부담이 큰 실정이다. 본 연구는 고사리 종근의 파종량을 단위면적당 맹아수 기준 40~80개/$3.3m^2$ 범위에서 표고 500m의 허브시험장 연구포장에 3월 28일 정식한 후 고사리 신초의 특성 및 뿌리 전분의 특성에 대해 고찰하였다. 고사리 신초의 출현양상은 6월 26일 이후 빠르게 증가하여 7월 하순의 고온기에 완만해지는 경향을 보였고 누적 신초수는 맹아수 80개/$3.3m^2$ 파종구에서 80.5개를 보여 파종량을 높일수록 유의하게 증가하였다. 고사리 신초의 상품기준을 포자엽이 전개되지 않은 신초로서 신초장 15~20cm 범위로 정하는 경우 출현시기별로는 9월에 상품율이 높았고 종근 파종량간에는 유의한 차이가 없었다. 종근 파종량에 따른 단위면적당 뿌리 생산량은 70개/$3.3m^2$ 파종구와 80개/$3.3m^2$ 파종구에서 $1498.1g/m^2$와 $1490.3g/m^2$로 유의하게 많았으나 전분 추출 수율은 8.6~12.9% 수준을 보였고 파종량간에는 차이가 없었다. 단위면적당 전분 생산량은 80개/$3.3m^2$ 파종구에서 $176.2g/m^2$로 가장 높은 생산성을 보였으며, 고사리 전분의 호화특성에서 최고점도는 465.3RVU로 쌀 전분의 218.6 RVU에 비해 월등히 높았고 호화시간은 쌀 전분 6.0분에 비해 3.7분으로 짧은 특성을 보였다. 고사리 전분의 무기물 함향은 가식부 100g당 인산 20mg, 칼륨 47mg 수준으로 밀가루에 비해 낮았으나 칼슘은 밀가루 33mg과 대등한 32mg을 보였고 특히 철분에서는 밀가루 4mg 수준에 비해 31mg으로 높은 함량을 보여 밀가루의 철분을 보충할 수 있는 전분으로 유망하였다.

• Journal of Life Science
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• v.34 no.4
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• pp.227-235
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• 2024

Hepatocyte damage caused by medications or herbal products is one of the important problem when these compounds are chronically administrated. Thus, improving hepatocyte survival during treatment offers a wide range of opportunities. Valproic acid (VPA), a branched short-chain fatty acid derived from naturally occurring valeric acid, is commonly used to treat epilepsy and seizures. Although VPA exerts numerous effects in cancer, HIV therapy, and neurodegenerative disease, its effects on the liver and its mechanism of action have not been fully elucidated. Here, we demonstrated that VPA caused moderate liver cell toxicity and apoptosis. Interestingly, VPA treatment increased transcription levels of PPAR alpha (PPAR-α) and fibroblast growth factor 21 (FGF21) in murine (Hepa1c1c7) hepatoma cells in a time and concentration dependent manner. VPA-induced FGF21 expression was significantly weaker under PPAR-α silencing condition than in cells transfected with non-targeting control siRNA. Subsequent experiments showed that cell viability was significantly lowered when the FGF21 signaling pathway was blocked by FGF receptor antagonist. Finally, we further determined that AMPK phosphorylation was not responsible for VPA-induced FGF21 expression and PPAR-a increments. These results indicate that increases of FGF21 expression alleviate VPA-induced hepatic toxicity, thereby making FGF21 a potential biomarker for predicting liver damage during VPA treatments.

• Journal of Intelligence and Information Systems
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• v.25 no.1
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• pp.1-19
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• 2019

Artificial intelligence (AI) is one of the main driving forces leading the Fourth Industrial Revolution. The technologies associated with AI have already shown superior abilities that are equal to or better than people in many fields including image and speech recognition. Particularly, many efforts have been actively given to identify the current technology trends and analyze development directions of it, because AI technologies can be utilized in a wide range of fields including medical, financial, manufacturing, service, and education fields. Major platforms that can develop complex AI algorithms for learning, reasoning, and recognition have been open to the public as open source projects. As a result, technologies and services that utilize them have increased rapidly. It has been confirmed as one of the major reasons for the fast development of AI technologies. Additionally, the spread of the technology is greatly in debt to open source software, developed by major global companies, supporting natural language recognition, speech recognition, and image recognition. Therefore, this study aimed to identify the practical trend of AI technology development by analyzing OSS projects associated with AI, which have been developed by the online collaboration of many parties. This study searched and collected a list of major projects related to AI, which were generated from 2000 to July 2018 on Github. This study confirmed the development trends of major technologies in detail by applying text mining technique targeting topic information, which indicates the characteristics of the collected projects and technical fields. The results of the analysis showed that the number of software development projects by year was less than 100 projects per year until 2013. However, it increased to 229 projects in 2014 and 597 projects in 2015. Particularly, the number of open source projects related to AI increased rapidly in 2016 (2,559 OSS projects). It was confirmed that the number of projects initiated in 2017 was 14,213, which is almost four-folds of the number of total projects generated from 2009 to 2016 (3,555 projects). The number of projects initiated from Jan to Jul 2018 was 8,737. The development trend of AI-related technologies was evaluated by dividing the study period into three phases. The appearance frequency of topics indicate the technology trends of AI-related OSS projects. The results showed that the natural language processing technology has continued to be at the top in all years. It implied that OSS had been developed continuously. Until 2015, Python, C ++, and Java, programming languages, were listed as the top ten frequently appeared topics. However, after 2016, programming languages other than Python disappeared from the top ten topics. Instead of them, platforms supporting the development of AI algorithms, such as TensorFlow and Keras, are showing high appearance frequency. Additionally, reinforcement learning algorithms and convolutional neural networks, which have been used in various fields, were frequently appeared topics. The results of topic network analysis showed that the most important topics of degree centrality were similar to those of appearance frequency. The main difference was that visualization and medical imaging topics were found at the top of the list, although they were not in the top of the list from 2009 to 2012. The results indicated that OSS was developed in the medical field in order to utilize the AI technology. Moreover, although the computer vision was in the top 10 of the appearance frequency list from 2013 to 2015, they were not in the top 10 of the degree centrality. The topics at the top of the degree centrality list were similar to those at the top of the appearance frequency list. It was found that the ranks of the composite neural network and reinforcement learning were changed slightly. The trend of technology development was examined using the appearance frequency of topics and degree centrality. The results showed that machine learning revealed the highest frequency and the highest degree centrality in all years. Moreover, it is noteworthy that, although the deep learning topic showed a low frequency and a low degree centrality between 2009 and 2012, their ranks abruptly increased between 2013 and 2015. It was confirmed that in recent years both technologies had high appearance frequency and degree centrality. TensorFlow first appeared during the phase of 2013-2015, and the appearance frequency and degree centrality of it soared between 2016 and 2018 to be at the top of the lists after deep learning, python. Computer vision and reinforcement learning did not show an abrupt increase or decrease, and they had relatively low appearance frequency and degree centrality compared with the above-mentioned topics. Based on these analysis results, it is possible to identify the fields in which AI technologies are actively developed. The results of this study can be used as a baseline dataset for more empirical analysis on future technology trends that can be converged.

• Korean Journal of Environment and Ecology
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• v.26 no.3
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• pp.454-462
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• 2012

This study was to research the effective use of green rooftop space, facilities and gardening, targeting members from community rehabilitation centers with disabilities. The three community rehabilitation centers studied were, Namyangju Center located in a rural area, Seoul Center located in a urban area and Siheung Center located in both a rural and urban area. We analyzed the difference in preference on the basis of each local community area. In fact, it indicated that 50% of each center knew about the green rooftop at their facilities and its use as a place for taking walks and conversation. It also showed that there was the high preference for priority objects such as a bench, pergola and trash can. Also the preference for natural visualizations like herbal or ornamental plants. The study showed a high preference to a small vegetable plot, hands on gardening and ecological wetland. It also indicated that there was a high preference for experience in nature programs on the rooftops (28.9 %) versus the rate of horticultural programs (27%). Therefore, it proves that the composition of a green rooftop at a community rehabilitation center should be differentiated so that the green rooftop can be a place not only for resting, but also great for a natural learning experience and gardening therapy for people with disabilities.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.5
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• pp.1128-1134
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• 2014

Web based simulation service is actively utilized to computably analyze various kinds of phenomena in real world according to progress of computing technology and spread of Network. However it is hard to share data and information among users on the services, because most of web based simulation services do not share and open simulation processing information and results. In this paper, we design a simulation provenance data sharing service on EDISON_CFD (EDucation-research Integration Simulation On the Net for Computational Fluid Dynamics) to share the calculated simulation performance information. To store and share the simulation processing information, we define the simulation processing step as "Problem ${\rightarrow}$ Plan, Design ${\rightarrow}$ Mesh ${\rightarrow}$ Simulation performance ${\rightarrow}$ Result ${\rightarrow}$ Report." Users can understand a problem solving method through a computer simulation by searching the simulation performance information with Search/Share API of the store. Besides, this opened simulation information can reduce the waste of calculation resource to process same simulation jobs.