North Korea continues to upgrade and display its long-range rocket launchers to emphasize its military strength. Recently Republic of Korea kicked off the development of anti-artillery interception system similar to Israel’s “Iron Dome”, designed to protect against North Korea’s arsenal of long-range rockets. The system may not work smoothly without the function assigning interceptors to incoming various-caliber artillery rockets. We view the assignment task as a dynamic weapon target assignment (DWTA) problem. DWTA is a multistage decision process in which decision in a stage affects decision processes and its results in the subsequent stages. We represent the DWTA problem as a Markov decision process (MDP). Distance from Seoul to North Korea’s multiple rocket launchers positioned near the border, limits the processing time of the model solver within only a few second. It is impossible to compute the exact optimal solution within the allowed time interval due to the curse of dimensionality inherently in MDP model of practical DWTA problem. We apply two reinforcement-based algorithms to get the approximate solution of the MDP model within the time limit. To check the quality of the approximate solution, we adopt Shoot-Shoot-Look(SSL) policy as a baseline. Simulation results showed that both algorithms provide better solution than the solution from the baseline strategy.

Corni Fructus (CF) is a fruit of Cornus officinalis Sieb. et Zucc. and has been used as traditional oriental medicine. It has various functional qualities such as being antioxidative, anti-inflammatory, antidiabetic, antihyperglycemic, and immunity-regulating. In the current study, CF was extracted from two conventional extract solvents (distilled water (DW) and 70% ethanol) with/without high-speed homogenization (HSH) treatments. The extract was characterized by measuring the total polyphenol contents and antioxidant activities. The HSH treatment significantly improved the total polyphenol content (from 28.4±0.9 mg/mL to 35.5±0.9 mg/mL), ABTS (from 59.8±0.4% to 78.4±2.7%), and DPPH radical scavenging activities (from 50.8±1.4% to 59.7±2.8%) of the DW extract and showed a level similar to that of 70% ethanol extract. The CF extracts were further used to prepare functional jelly with gelatin and other components such as pectin, fructooligosaccharide, and citric acid. The jelly’s hardness, springiness, gumminess, and cohesiveness were characterized using a texture profile analysis (TPA).

본 연구의 목적은 효소 가수분해 및 유산균 혼합발효기술을 이용하여 GABA 함량이 강화된 발효 다시마 추출물을 생산함에 있다. TLC 분석방법을 통해 GABA 생성능력이 우수한 균주 L. plantarum KCTC 21004, L. acidophilus KCTC 3164, L. sakei subsp. sakei KCTC 3598를 선정하였 다. 선정된 균주를 이용한 유산균 발효의 특성은 배양 시간이 증가 할수록 적정 산도는 증가하였고 pH 는 감소하는 경향을 나타내었다. GABA 생성능력이 우수한 3종의 균주 중 L. plantarum KCTC 21004 이 GABA 함량이 136.4 mg/100g으로 우수하였다. 이러한 연구 결과는 유산균을 이용한 GABA 생산과 정에 있어서 기초적인 자료로 제공될 것으로 판단된다.

Recently, machine learning is widely used to solve optimization problems in various engineering fields. In this study, machine learning is applied to development of a control algorithm for a smart control device for reduction of seismic responses. For this purpose, Deep Q-network (DQN) out of reinforcement learning algorithms was employed to develop control algorithm. A single degree of freedom (SDOF) structure with a smart tuned mass damper (TMD) was used as an example structure. A smart TMD system was composed of MR (magnetorheological) damper instead of passive damper. Reward design of reinforcement learning mainly affects the control performance of the smart TMD. Various hyperparameters were investigated to optimize the control performance of DQN-based control algorithm. Usually, decrease of the time step for numerical simulation is desirable to increase the accuracy of simulation results. However, the numerical simulation results presented that decrease of the time step for reward calculation might decrease the control performance of DQN-based control algorithm. Therefore, a proper time step for reward calculation should be selected in a DQN training process.

The purpose of this paper is to propose part management and standardization to reduce cost and increase compatibility of parts through standardization and standardization of parts to be applied to urban air mobility(UAM) systems, Personnel Air Vehicle(PAV), Vertical Take-Off and Landing (VTOL), and so on. In other words, parts used in the urban air transportation system must be verified from the initial design stage in accordance with the aviation standard, and a systematic management system for various parts must be established to secure stability and improve quality. Therefore, as a system similar to the aviation component management system, it should be thoroughly managed for urban aviation components.

Conventional wastewater treatment plants (WWTPs) do not fully remove micropollutants. Enhanced treatment of sewage effluents is being considered or implemented in some countries to minimize the discharge of problematic micropollutants from WWTPs. Representative enhanced sewage treatment technologies for micropollutant removal were reviewed, including their current status of research and development. Advanced oxidation processes (AOPs) such as ozonation and UV/H2O2 and adsorption processes using powdered (PAC) and granular activated carbon (GAC) were mainly discussed with focusing on process principles for the micropollutant removal, effect of process operation and water matrix factors, and technical and economic feasibility. Pilot- and full-scale studies have shown that ozonation, PAC, and GAC can achieve significant elimination of various micropollutants at economically feasible costs(0.16-0.29 €/m3). Considering the current status of domestic WWTPs, ozonation and PAC were found to be the most feasible options for the enhanced sewage effluent treatment. Although ozonation and PAC are all mature technologies, a range of technical aspects should be considered for their successful application, such as energy consumption, CO2 emission, byproduct or waste generation, and ease of system construction/operation/maintenance. More feasibility studies considering domestic wastewater characteristics and WWTP conditions are required to apply ozonation or PAC/GAC adsorption process to enhance sewage effluent treatment in Korea.

이 연구는 동원전력을 구성하는 동원자원의 군사적 효용성을 분석하 고 강화 방안을 제시하기 위한 것이다. 동원전력의 군사능력과 잠재역 량, 그리고 평판은 군사적 효용성의 척도이다. 동원전력이 평시 전쟁 억제 기능을 한다면 군사적 효용 가치가 있는 것이다. 그러나 전쟁 초 기 방어작전에 참여하는 동원사단은 군사력으로서 평판이 낮은 수준이 다. 이를 개선하려면 한국군의 ‘동원’ 개념부터 재설계해야 한다. 현대 화된 자원으로 잘 준비되고 훈련된 잠재전력을 유사시 작전에 활용하 는 개념이 동원이어야 한다. 둘째, 선발예비군 제도를 도입하여 비상근 전투예비군으로 동원사단을 집중 육성해야 한다. 이들은 상비전력 저하 를 상쇄하고 병역제도 전환기적 과도기에 국방운영의 융통성을 제공하 게 될 것이다. 셋째, 전시 군수소요의 충당은 국민의 재산을 먼저 활용 한다는 편의적 관례에서 벗어나 비축을 통해 평시 동원전력의 완전성 을 높여야 한다. 동원사단의 무기체계‧장비‧물자는 상비군과 동일하게 현대화하고, 긴요 품목 대부분은 비축하여 유사시 즉각 전투력이 발휘 되도록 해야 한다. 군과 정부는 미래 안보의 비관적 상황을 전제로 대 비하되 불가피한 선택의 시간이 오기 전에 동원자원의 군사력 효용성 을 높이는 정책을 과감하게 추진해야 할 것이다.