• Maritime Security
• /
• v.2 no.1
• /
• pp.151-184
• /
• 2021

Global warming due to climate change is one of the biggest challenges in the 21st century. Global warming is not only a disaster that threatens the global ecosystem but also an opportunity to reduce logistics costs and develop mineral resources by commercializing Arctic routes. The Arctic paradox, in which ecological and environmental threats and new economic opportunities coexist, is expected to have a profound impact on the global environment. As the glaciers disappear, routes through the Arctic Ocean without passing through the Suez and Panama Canals emerged as the 'third route.' This can reduce the distance of existing routes by 30%. Global warming has also brought about changes in the geopolitical paradigm. As Arctic ice begins to melt, the Arctic is no longer a 'constant' but is emerging as the largest geopolitical 'variable' in the 21st century. Accordingly, the Arctic, which was recognized as a 'space of peace and cooperation' in the post-Cold War era, is now facing a new strategic environment in which military and security aspects are emphasized. After the Cold War, the Arctic used to be a place for cooperation centered on environmental protection, but it is once again changing into a stage of competition and confrontation between superpowers, heralding 'Cold War 2.0.' The purpose of this study is to evaluate the strategic value of the Arctic Ocean from geopolitical and geoeconomic perspectives and derive strategic implications by analyzing the dynamics of the New Cold War taking place in the Arctic region.

• Analyses & Alternatives
• /
• v.2 no.2
• /
• pp.111-141
• /
• 2018

By the middle of 2018 there are signs of China's entry into a new period of development, characterized by a change in the old model: "market reforms-inner-party democratization - moderate foreign policy" to another: "market reforms - Xi Jinping personality cult - offensive foreign policy." This model contains the risks of arising of the contradiction between economic freedom and political-ideological rigidity which can lead to destabilization of the political life. However, in the current positive economic dynamics, these risks may come out, rather, in the medium and long term. Today, the political situation in China remains stable - despite growing dissatisfaction in scientific expert and educational circles due to increased control over the intellectual sphere by the authorities. The need for a new redistribution of power between central and provincial authorities could potentially disrupt political stability in the medium term, but, at the moment, is not a critical negative factor. The economic situation is positive-stable. Forecasts indicate a possible increase in China's GDP in 2018 at 6.5%. At the same time, there are negative expectations in connection with the Sino-US and potentially Sino-European "trade war". In the Chinese foreign policy, as a response to Western pressure, China increasingly uses the Russian direction of its diplomacy in the expanded version of Russia + SCO. The nuance here is seen in China's adjusted approach to the SCO: first of all, not as a mechanism for cooperation with Russia, but as an organization that allows using Russia's potential for pressure on the US in the Sino-US strategic rivalry. In the second half of 2018, the Chinese economy will continue to develop steadily, albeit with unresolved traditional problems (debts of provinces and state-owned enterprises, ineffective state sector, risks on the financial and real estate market). In politics, discontent with the cult of Xi will accumulate, but without real threats to its power. Weakening in economic opposition between China and the United States is possible due to Beijing's search for compromises on tariffs, intellectual property, trade deficit. To find such trade-offs, Xi will use the so-called. "Personal diplomacy" of direct contacts with Trump.

• Nuclear Engineering and Technology
• /
• v.55 no.10
• /
• pp.3874-3897
• /
• 2023

A high-fidelity computational fluid dynamics (CFD) analysis was performed using the Large Eddy Simulation (LES) model for the lower plenum of the High-Temperature Test Facility (HTTF), a ¼ scale test facility of the modular high temperature gas-cooled reactor (MHTGR) managed by Oregon State University. In most next-generation nuclear reactors, thermal stress due to thermal striping is one of the risks to be curiously considered. This is also true for HTGRs, especially since the exhaust helium gas temperature is high. In order to evaluate these risks and performance, organizations in the United States led by the OECD NEA are conducting a thermal hydraulic code benchmark for HTGR, and the test facility used for this benchmark is HTTF. HTTF can perform experiments in both normal and accident situations and provide high-quality experimental data. However, it is difficult to provide sufficient data for benchmarking through experiments, and there is a problem with the reliability of CFD analysis results based on Reynolds-averaged Navier-Stokes to analyze thermal hydraulic behavior without verification. To solve this problem, high-fidelity 3-D CFD analysis was performed using the LES model for HTTF. It was also verified that the LES model can properly simulate this jet mixing phenomenon via a unit cell test that provides experimental information. As a result of CFD analysis, the lower the dependency of the sub-grid scale model, the closer to the actual analysis result. In the case of unit cell test CFD analysis and HTTF CFD analysis, the volume-averaged sub-grid scale model dependency was calculated to be 13.0% and 9.16%, respectively. As a result of HTTF analysis, quantitative data of the fluid inside the HTTF lower plenum was provided in this paper. As a result of qualitative analysis, the temperature was highest at the center of the lower plenum, while the temperature fluctuation was highest near the edge of the lower plenum wall. The power spectral density of temperature was analyzed via fast Fourier transform (FFT) for specific points on the center and side of the lower plenum. FFT results did not reveal specific frequency-dominant temperature fluctuations in the center part. It was confirmed that the temperature power spectral density (PSD) at the top increased from the center to the wake. The vortex was visualized using the well-known scalar Q-criterion, and as a result, the closer to the outlet duct, the greater the influence of the mainstream, so that the inflow jet vortex was dissipated and mixed at the top of the lower plenum. Additionally, FFT analysis was performed on the support structure near the corner of the lower plenum with large temperature fluctuations, and as a result, it was confirmed that the temperature fluctuation of the flow did not have a significant effect near the corner wall. In addition, the vortices generated from the lower plenum to the outlet duct were identified in this paper. It is considered that the quantitative and qualitative results presented in this paper will serve as reference data for the benchmark.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.17 no.1
• /
• pp.1-12
• /
• 2022

This paper examines the influence of the portion of lead investors and investors' status on the investment performance of venture syndication. According to existing literature, multiple investors in VC syndicates can positively impact investment performance by investing both tangible and intangible resources in target companies based on market influence or high visibility. On the other hand, the presence of multiple leaders can cause conflicts in formulating and implementing investment strategy or free-riding problems or increase entry barriers for potential investors, lowering additional investment from existing investors. Therefore, we hypothesize that the relationship between proportion of lead investors and investment performance is inverted-U shape. Moreover, we predict that the status of VCs in the syndication will moderate the relationship between proportion of lead investors and investment performance since high-status actors are less likely to cooperate with or yield power to others. We tested these hypotheses using 24,677 VC syndicated investment data from 1991 to 2005 and found solid supports for the hypotheses. The findings suggest that firms need to consider relationship-based power dynamics among investors within a syndication and design effective role setting and coordination systems.

• Korean Journal of Optics and Photonics
• /
• v.16 no.3
• /
• pp.182-190
• /
• 2005

The fiber Raman amplifier(FRA) is a distinctly advantageous technology. Due to its wider, flexible gain bandwidth, and intrinsically lower noise characteristics, FRA has become an indispensable technology of today. Various FRA modeling methods, with different levels of convergence speed and accuracy, have been proposed in order to gain valuable insights for the FRA dynamics and optimum design before real implementation. Still, all these approaches share the common platform of coupled ordinary differential equations(ODE) for the Raman equation set that must be solved along the long length of fiber propagation axis. The ODE platform has classically set the bar for achievable convergence speed, resulting exhaustive calculation efforts. In this work, we propose an alternative, highly efficient framework for FRA analysis. In treating the Raman gain as the perturbation factor in an adiabatic process, we achieved implementation of the algorithm by deriving a recursive relation for the integrals of power inside fiber with the effective length and by constructing a matrix formalism for the solution of the given FRA problem. Finally, by adiabatically turning on the Raman process in the fiber as increasing the order of iterations, the FRA solution can be obtained along the iteration axis for the whole length of fiber rather than along the fiber propagation axis, enabling faster convergence speed, at the equivalent accuracy achievable with the methods based on coupled ODEs. Performance comparison in all co-, counter-, bi-directionally pumped multi-channel FRA shows more than 102 times faster with the convergence speed of the Average power method at the same level of accuracy(relative deviation < 0.03dB).

• Journal of the Korean Institute of Traditional Landscape Architecture
• /
• v.31 no.4
• /
• pp.113-122
• /
• 2013

In this study, the traditional structure of the impact on the stability analysis. Korean traditional landscape architecture column space of stonework stable composition as the foundation of the fence for a long time been known to fall down and not maintained. The destination of research Ohgokmun Damyang Soswaewon fence which is in harmony with nature is one of the traditional structures that affect its shape without being kept so far came true. This includes our ancestral wisdom and that wisdom can guess guesswork. But I let the traditional reproduction incidence structures frequently. This deviation from the traditional method of construction application of shorthand stand. Thus, the subject of this study, the factors that do not fall down fences Ohgokmun solution is to indirectly gain the weak. In addition, epidemiological studies and the methods of calculation of the inferred physical examination, the results of the analysis were derived through the following. First, the internal factors of the fence Ohgokmun constituting the structural member and the coupling of the scheme. 1) based on stable ground. Greater role in the country rock The fact that the settlement will have no symptoms. 2) to minimize the friction caused by hydrological water to remove the two-pronged process through stone work building form and menu sustaining power in hydrology and flooding made against the bypass channel. 3) due to the load bearing capacity and durability to withstand the strength of the material and the construction of structures in the form of a dispersion of power between each individual to maximize the process of getting traction was applied. Second, external factors Ohgokmun fence the results obtained through the calculation of the dynamics of repair, is greatly affected by the wind and the water gate of the fence, but the action of the structural stability of the lack of power that hurt enough conclusion. In this study, the results of the structure of internal and external influence as well through the structure can be viewed as composed consisting. However, over the next follow-up in terms of climate and environmental factors due to the fact that the fall might.

• Analyses & Alternatives
• /
• v.8 no.2
• /
• pp.65-86
• /
• 2024

This study delves into the geopolitical tensions surrounding Ukraine throughout modern European history, aiming to shed light on its significance in geopolitical discourse. Since the 19th century, European powers, particularly the Anglo-Saxons and Germans, have formulated distinct geopolitical strategies concerning the Eurasian continent, with Ukraine at its focal point. The Crimean War and the German-Soviet War serve as key events to analyze these powers' geopolitical ambitions and interests. The British Empire, driven by its doctrine of thwarting land powers with sea power, intervened in the Crimean War against Russia. Its objective was to disrupt Russian dominance over Ukraine, thereby hindering Russian expansion into the Black Sea and Central Europe. On the other hand, the Third Reich of Germany, fixated on creating a European sphere exclusive from Anglo-Saxon sea powers and the Russian land power, initiated the German-Soviet War. This move aimed to secure a vast territory, including Ukraine, to facilitate expansion into the Caucasus and establish a buffer zone against the Soviet Union. Three key insights emerge from this analysis. Firstly, the absence of a dominant power rooted in Ukraine since the fall of the Principality of Kiev made geopolitical clashes inevitable. Secondly, these clashes ultimately result in a hollow victory for all involved parties, signifying the high costs and minimal gains of such confrontations. Lastly, the root cause of these clashes lies in the discord between exclusive geopolitical visions that fail to accommodate sustainable coexistence among diverse geopolitical spheres. In essence, the study underscores Ukraine's pivotal role in shaping European geopolitics and highlights the recurring clashes driven by competing visions of dominance and control over its territory. From the Crimean War to the German-Soviet War, the struggle for influence over Ukraine reflects broader geopolitical dynamics and the pursuit of strategic advantage by major powers. Ultimately, the study emphasizes the enduring significance of Ukraine in European geopolitics and the complexities inherent in managing its geopolitical tensions.

• Korean Journal of Biological Psychiatry
• /
• v.5 no.1
• /
• pp.95-101
• /
• 1998

The changes of electroencephalogram(EEG) in patients with dementia of Alzheimer's type are most commonly studied by analyzing power or magnitude in traditionally defined frequency bands. However because of the absence of an identified metric which quantifies the complex amount of information, there are many limitations in using such a linear method. According to the chaos theory, irregular signals of EEG can be also resulted from low dimensional deterministic chaos. Chaotic nonlinear dynamics in the EEG can be studied by calculating the largest Lyapunov exponent($L_1$). The authors have analyzed EEG epochs from three patients with dementia of Alzheimer's type and three matched control subjects. The largest $L_1$ is calculated from EEG epochs consisting of 16,384 data points per channel in 15 channels. The results showed that patients with dementia of Alzheimer's type had significantly lower $L_1$ than non-demented controls on 8 channels. Topographic analysis showed that the $L_1$ were significantly lower in patients with Alzheimer's disease on all the frontal, temporal, central, and occipital head regions. These results show that brains of patients with dementia of Alzheimer's type have a decreased chaotic quality of electrophysiological behavior. We conclude that the nonlinear analysis such as calculating the $L_1$ can be a promising tool for detecting relative changes in the complexity of brain dynamics.

• Proceedings of the Korean Vacuum Society Conference
• /
• 2016.02a
• /
• pp.256-256
• /
• 2016

기존의 디스플레이 기슬은 마스크를 통해 특정 부분에만 유기재료를 증착시키는 방법을 사용하였으나, 기판의 크기가 커짐에 따라 공정조건에 제약이 발생하였다. 이를 해결하기 위해 최근 용액 공정에 대한 연구가 활발히 진행되고 있다. 용액 공정은 기존 진공 증착 방식과 비교하였을 때 상온, 대기압에서 증착이 가능하며 경제적이고, 대면적 균일 증착에 유리하다는 장점이 있다. 반면, 용액 공정으로 제작한 소자는 시간이 지남에 따라 점차 전기적 특성이 변하는 aging effect를 보인다. Aging effect는 용액에 포함된 C기와 OH기 기반의 불순물의 영향으로 시간의 경과에 따라서 문턱전압, subthreshold swing 및 mobility 등의 전기적 특성이 변하는 현상으로 고품질의 박막을 형성하기 위해서는 고온의 열처리가 필요하다. 지금까지 고품질 박막 형성을 위한 열처리는 퍼니스 (furnace) 장비에서 주로 이루어졌는데, 시간이 오래 걸리고, 상대적으로 고온 공정이기 때문에 유리, 종이, 플라스틱과 같은 다양한 기판에 적용하기 어렵다는 단점이 있다. 따라서, 본 연구에서는 $100^{\circ}C$ 이하의 저온에서도 열처리가 가능한 microwave irradiation (MWI) 방법을 이용하여 solution-processed InGaZnO TFT를 제작하였고, 기존의 열처리 방식인 furnace로 열처리한 TFT 소자와 aging effect를 비교하였다. 먼저, solution-processed IGZO TFT를 제작하기 위해 p type Si 기판을 열산화시켜서 100 nm의 SiO2 게이트 산화막을 성장시켰고, 스핀코팅 방법으로 a-IGZO 채널층을 형성하였다. 증착후 열처리를 위하여 1000 W의 마이크로웨이브 출력으로 15분간 MWI를 실시하여 a-IGZO TFT를 제작하였고, 비교를 위하여 furnace N2 gas 분위기에서 $600^{\circ}C$로 30분간 열처리한 TFT를 준비하였다. 제작된 직후의 TFT 특성을 평가한 결과, MWI 열처리한 소자가 퍼니스 열처리한 소자보다 높은 이동도, 낮은 subthreshold swing (SS)과 히스테리시스 전압을 가지는 것을 확인하였다. 한편, aging effect를 평가하기 위하여 제작 후에 30일 동안의 특성변화를 측정한 결과, MWI 열처리 소자는 30일 동안 문턱치 전압(VTH)의 변화량 ${\Delta}VTH=3.18[V]$ 변화되었지만, furnace 열처리 소자는 ${\Delta}VTH=8.56[V]$로 큰 변화가 있었다. 다음으로 SS의 변화량은 MWI 열처리 소자가 ${\Delta}SS=106.85[mV/dec]$인 반면에 퍼니스 열처리 소자는 ${\Delta}SS=299.2[mV/dec]$이었다. 그리고 전하 트래핑에 의해서 발생하는 게이트 히스테리시스 전압의 변화량은 MWI 열처리 소자에서 ${\Delta}V=0.5[V]$이었지만, 퍼니스 열처리 소자에서 ${\Delta}V=5.8[V]$의 큰 수치를 보였다. 결과적으로 MWI 열처리 방식이 퍼니스 열처리 방식보다 소자의 성능이 우수할 뿐만 아니라 aging effect가 개선된 것을 확인할 수 있었고 차세대 디스플레이 공정에 있어서 전기적, 화학적 특성을 개선하는데 기여할 것으로 기대된다.

• Journal of the Institute of Electronics and Information Engineers
• /
• v.54 no.4
• /
• pp.50-58
• /
• 2017

Recently, some methods of converging heterogeneous fire sensor data have been proposed for effective fire detection, but the rule-based methods have low adaptability and accuracy, and the fuzzy inference methods suffer from detection speed and accuracy by lack of consideration for images. In addition, a few image-based deep learning methods were researched, but it was too difficult to rapidly recognize the fire event in absence of cameras or out of scope of a camera in practical situations. In this paper, we propose a novel fire detection system combining a deep learning algorithm based on CNN and fuzzy inference engine based on heterogeneous fire sensor data including temperature, humidity, gas, and smoke density. we show it is possible for the proposed system to rapidly detect fire by utilizing images and to decide fire in a reliable way by utilizing multi-sensor data. Also, we apply distributed computing architecture to fire detection algorithm in order to avoid concentration of computing power on a server and to enhance scalability as a result. Finally, we prove the performance of the system through two experiments by means of NIST's fire dynamics simulator in both cases of an explosively spreading fire and a gradually growing fire.