• Title/Summary/Keyword: Russia-Ukraine War

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A Study on the Possibility of Securing Command of the Air in Local War (지상군의 국지제공권 확보 가능성 연구)

  • Lee, Chang In;Jung, Min Sup;Cho, Sang Keun;Park, Sang-Hyuk
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.4
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    • pp.173-179
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    • 2022
  • Through the 2014 Donbas conflict and the 2022 Ukraine-Russia war, we are experiencing that the command of the air is no longer only secured by the Air Force. Long-range surveillance reconnaissance and strikes carried out by the Air Force could be replaced by drones and missiles, and the enemy's aerial attacks could be controlled by air defense systems such as Panchir and portable anti-aircraft missiles, allowing ground forces to carry out maneuvers freely. In other words, it is much more advantageous for the air force and the navy to take control of the air through long-distance operations, and the ground forces should support them. Therefore, this study aims to consider the cost-effectiveness aspect of the delivery command of the air; it provides implications for quickly responding to enemy air attacks by developing the air defense weapon system, drones, missiles, precision-guided munitions, etc rather than focusing on expensive fighter jets.

A Mission Capability Measuring Methodology of Warship based on Vulnerability Assessment: Focused on Naval Engagement Level Analysis Model (취약성 평가 기반 함정 임무수행능력 측정 방법: 해군 교전급 분석모델을 중심으로)

  • Jeong-kwan Yang;Bong-seok Kim;Bong-wan Choi;Chong-su Kim
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.46 no.4
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    • pp.218-228
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    • 2023
  • Maintaining sea superiority through successful mission accomplishments of warships is being proved to be an important factor of winning a war, as in the Ukraine-Russia war. in order to ensure the ability of a warship to perform its duties, the survivability of the warship must be strengthened. In particular, among the survivability factors, vulnerability is closely related to a damage assessment, and these vulnerability data are used as basic data to measure the mission capability. The warship's mission capability is usually measured using a wargame model, but only the operational effects of a macroscopic view are measured with a theater level resolution. In order to analyze the effectiveness and efficiency of a weapon system in the context of advanced weapon systems and equipments, a warship's mission capability must be measured at the engagement level resolution. To this end, not the relationship between the displacement tonnage and the weight of warheads applied in the theater level model, but an engagement level resolution vulnerability assessment method that can specify physical and functional damage at the hit position should be applied. This study proposes a method of measuring a warship's mission capability by applying the warship vulnerability assessment method to the naval engagement level analysis model. The result can be used as basic data in developing engagement algorithms for effective and efficient operation tactics to be implemented from a single unit weapon system to multiple warships.

Analysis of connectedness Between Energy Price, Tanker Freight Index, and Uncertainty (에너지 가격, 탱커운임지수, 불확실성 사이의 연계성 분석)

  • Kim, BuKwon;Yoon, Seong-Min
    • Journal of Korea Port Economic Association
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    • v.38 no.4
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    • pp.87-106
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    • 2022
  • Uncertainties in the energy market are increasing due to technology developments (shale revolution), trade wars, COVID-19, and the Russia-Ukraine war. Especially, since 2020, the risk of international trade in the energy market has increased significantly due to changes in the supply chain of transportation and due to prolonged demand reduction because of COVID-19 and the Russian-Ukraine war. Considering these points, this study analyzed connectedness between energy price, tanker index, and uncertainty to understand the connectedness between international trade in the energy market. Main results are summarized as follows. First, as a result of analyzing stable period and unstable period of the energy price model using the MS-VAR model, it was confirmed that both the crude oil market model and the natural gas market model had a higher probability of maintaining stable period than unstable period, increasing volatility by specific events. Second, looking at the results of the analysis of the connectedness between stable period and unstable period of the energy market, it was confirmed that in the case of total connectedness, connectedness between variables was increased in the unstable period compared to the stable period. In the case of the energy market stable period, considering the degree of connectedness, it was confirmed that the effect of the tanker freight index, which represents the demand-side factor, was significant. Third, unstable period of the natural gas market model increases rapidly compared to the crude oil market model, indicating that the volatility spillover effect of the natural gas market is greater when uncertainties affecting energy prices increase compared to the crude oil market.

Forecasting LNG Freight rate with Artificial Neural Networks

  • Lim, Sangseop;Ahn, Young-Joong
    • Journal of the Korea Society of Computer and Information
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    • v.27 no.7
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    • pp.187-194
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    • 2022
  • LNG is known as the transitional energy source for the future eco-friendly, attracting enormous market attention due to global eco-friendly regulations, Covid-19 Pandemic, Russia-Ukraine War. In addition, since new LNG suppliers such as the U.S. and Australia are also diversifying, the LNG spot market is expected to grow. On the other hand, research on the LNG transportation market has been marginalized. Therefore, this study attempted to predict short-term LNG 160K spot rates and compared the prediction performance between artificial neural networks and the ARIMA model. As a result of this paper, while it was difficult to determine the superiority and superiority of ARIMA and artificial neural networks, considering the relative free of ANN's contraints, we confirmed the feasibility of ANN in LNG 160K spot rate prediction. This study has academic significance as the first attempt to apply an artificial neural network to forecasting LNG 160K spot rates and are expected to contribute significantly in practice in that they can improve the quality of short-term investment decisions by market participants by increasing the accuracy of short-term prediction.

A Comparative Analysis of the Germany and Korea's Bilateral Cooperation Strategy to Secure Overseas Clean Hydrogen: Focusing on the Geopolitical Perspective (독일과 한국의 해외 청정수소 확보를 위한 양자협력 전략 비교 분석: 지정학적 관점을 중심으로)

  • JUN, EUNJIN;WOO, AMI;PARK, MIRA;JUNG, HYOUNDUK;SHIN, HYUN WOO
    • Transactions of the Korean hydrogen and new energy society
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    • v.33 no.5
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    • pp.470-498
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    • 2022
  • Recently, the world has been considering hydrogen energy as the primary energy transition means to achieve carbon neutrality by 2050. In order to achieve the goal of reducing greenhouse gas emissions, Korea is also promoting a clean hydrogen economy. However, it is necessary to introduce various clean hydrogen from overseas so that the projected demand can not meet the domestically produced. For this study, we conducted the policy comparison approach between countries other than the generally considered technical and economic approaches. The finding proposes the direction of bilateral cooperation for a strategy of securing overseas clean hydrogen from a geopolitical perspective. Germany was a target country for the policy comparison since it has a high proportion of manufacturing, like Korea, and is taking the lead in the renewable-based energy transition policy. According to the survey and analysis of the policy establishment status and new projects of the two countries, Germany is promoting bilateral international cooperation in the hydrogen area with about 33 countries based on 7 types of activities. In comparison, Korea is involved in bilateral cooperation with about 12 countries on relatively few activities. Among the types of bilateral cooperation, R&D cooperation with advanced countries for hydrogen technology was a common activity type. Germany preemptively promotes cooperation for demonstration and commercialization, considering geopolitical means and strengthening manpower training and assistance on policy and regulation to preoccupy the market for the future. Therefore, it is necessary to consider establishing a network of an entire life cycle of supply and demand network that links the future market with securing clean hydrogen considering the geopolitical distribution. To this end, Korea also needs to expand bilateral cooperation countries by activity type, and it seems necessary to seek various geopolitical-based bilateral cooperation and support measures for developing countries to diversify the supply sources of hydrogen.

How to Identify Critical Nodes of National Infrastructure Systems in Megacities (메가시티 국가기반체계의 핵심노드 식별 방법)

  • Sim, Jun Hak;Jang, chan Kyu;Park, Sung Jun;Kim, Ki Won;Cho, Sang Keun;Park, Sang Hyuk
    • The Journal of the Convergence on Culture Technology
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    • v.8 no.6
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    • pp.531-536
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    • 2022
  • Megacities are emerging all over the world and gradually becoming the center of an country. Therefore, Megacities are inevitably exposed to various threats such as existing, potential, supra-national, and non-military. In particular, as seen in the recent Ukraine-Russia war, national infrastructure systems has become a major target of enemies. However, considering the size of Megacities, various types of threats, and limited resources, it is impossible to completely protect all national infrastructure systems. Therefore, wisdom is necessary to identify and protect critical nodes. The critical node is the vital point to which the national infrastructure is connected. To this end, in this study, as a method for logically and systematically identifying critical nodes, Node centrality analysis method, which is a network theory, and the Center of Gravity analysis method, which is a military theory, were presented.

An Integrated Analysis of Recent Changes in Year-on-Year Consumer Price Index and Aggregate Import Price Index in Republic of Korea through Statistical Inference

  • Seok Ho CHANG;Soonhui LEE
    • Asia-Pacific Journal of Business
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    • v.14 no.1
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    • pp.365-379
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    • 2023
  • Purpose - Our previous study (Chang & Lee, 2023) presented observations on the recent changes in the year-on-year (YoY) Consumer Price Index (CPI) of the Republic of Korea (ROK) after the COVID-19 pandemic. The purpose of this article is to present an integrated analysis and interpretation of the recent changes in CPI and the Aggregate Import Price Index (IPI) by incorporating recent data, specifically data from September 2022 to December 2022. Design/methodology/approach - This study collected CPI (YoY) data in the ROK from January 2019 to December 2022 using e-National Indicator System provided by the ROK. Statistical analysis was employed to analyze the data. Findings - First, we confirm the extended results of the existing study by Chang and Lee (2023). Second, we demonstrate that the Aggregate IPI in ROK increased significantly in 2022 compared to 2021. We then provide an integrated interpretation on the significant increase in CPI and aggregate IPI in ROK, which complements Chang and Lee (2023) that limits their discussion to YoY CPI. Moreover, we show that the IPI of the semiconductor in ROK decreased significantly in 2022 compared to 2021. Research implications or Originality - Our results provide important insights into the recent changes in the CPI in the ROK. The results suggest that these changes can be partially attributed to various factors, such as the global supply chain disruptions resulting from the spread of the COVID-19 pandemic and the prolonged war between Russia and Ukraine, the side effect of quantitative easing by the US Federal Reserve, heat waves and droughts caused by climate change in ROK, a surge in demand following a gradual daily recovery, US-China trade conflict, etc. Our study shows statistically comprehensive results compared to the studies that limit their discussion to YoY average growth rate.

Development Directions for Enhanced Protection of National Mjor Facilities Countering Drone Threats (국가중요시설 방호력 강화를 위한 대드론체계 발전 방향)

  • Sang-Keun Cho;Ki-Won Kim;In-keun Son;Kang-Il Seo;Min-seop Jung;Sang-Hyuk Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.257-262
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    • 2023
  • Recently there are increasing number of claims that it is necessary to build a countermeasure in case of aggressive threats by small drones. During Russia-Ukraine war ignited by Russian invasion on February 2022, attacking drones have been being used widely to damage other country's national major facilities. On December 2022, 5 drones sent by North Korea made a flight around Seoul, South Korea about 7 hours, but it was not successful to search and track them. Furthermore, none of these were destroyed and shot down. Counter-drone system is essential system to search and identify unintended small drones and disable them. This paper is for proposing required functions for building a counter-drone system for national major facilities. We conducted focus group interviews with relevant government officials and analyzed their suggestions on how to augment protection capabilities to defend against small drone attacks.

A Case Study on FPV Drone Combats of the Ukrainian Forces (우크라이나군의 FPV드론 전투 사례 연구)

  • Kang-Il Seo;Sang-Keun Cho;Sang-Hyuk Park
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.3
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    • pp.263-270
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    • 2023
  • The Ukraine-Russia war is a testing ground for High-Tech weapons and the first full-scale drone warfare. The Ukrainian military has been aggressively deploying a variety of reconnaissance and attack drones on the battlefield, and more recently, FPV drones, also known as racing drones, have been fitted with bombs as a game-changer in small-unit combat. To better understand these FPV drones, this article reviews their definition, aircraft components, and key characteristics, and draws implications from the Ukrainian military's FPV combat experience. In the future, the combination of artificial intelligence and swarming technology will make FPV drones even more lethal. Accordingly, the need to develop FPV drones suitable for the future operational environment on the Korean Peninsula is increasing, and follow-up research is needed to specify fighting methods and optimize related technologies.

A Study on the Generation and Transmission of Drone Jamming Signals Based on the MAVLink Protocol (MAVLink 프로토콜 기반 드론 교란 신호 생성 및 송출에 관한 연구)

  • Woojin Lee;Changhan Lim;Jaeyeon Lee
    • Convergence Security Journal
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    • v.23 no.2
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    • pp.75-84
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    • 2023
  • Recently, as the use of drones for military purposes is increasing, such as the Russia-Ukraine War, North Korea's reconnaissance against South Korea, and Army Tiger 4.0's dronebot system, anti-drone technology is developing a lot in each country. However, traditional anti-drone technologies in the form of using conventional weapons or electronic warfare weapons have the disadvantage of being expensive, so anti-drone technologies that can be performed at low cost are currently being newly researched. Therfore, in response to these anti-drone technologies, many efforts are being made to increase the survivability of our allies. In line with this trend, this study assumes a virtual anti-drone system applied with cyber domain and electronic warfare domain technologies that can be performed at low cost, rather than a technique using expensive conventional weapons or electronic warfare weapons among various anti-drone technologies. In response to this, we would like to present a plan to increase the survivability of friendly drones.