This study investigated the seasonal occurrence of bark and wood-boring Coleoptera in Pinus densiflora (Siebold & Zucc.) (Pinales: Pinaceae), and Larix kaempferi (Lamb.) (Pinales: Pinaceae) stands using multi-funnel traps baited with pine volatiles in Korea. The number and species of bark and woodboring beetles caught in traps baited with ethanol, α-pinene, and ethanol+α-pinene were compared to determine the effective attractants. In addition, the effects of other pine volatiles, such as (-)-β-pinene, β-caryophyllene, (±)-limonene, β-myrcene, and 3-carene, were investigated. A total of 13,134 wood-boring beetles from 150 species were collected from pine and larch stands from 2019 to 2020. Tomicus minor (Hartig) (Coleoptera: Curculionidae) adults were more attracted to traps baited with α-pinene, whereas Xyleborinus saxesenii (Ratzeburg) (Coleoptera: Curculionidae), Cyclorhipidion pelliculosum (Eichhoff) (Coleoptera: Curculionidae), and Phloeosinus pulchellus (Blandford) (Coleoptera: Curculionidae) adults were more attracted to traps baited with ethanol. Hylurgops interstitialis (Chapuis) (Coleoptera: Curculionidae), Shirahoshizo genus group, Rhagium inquisitor (Linne) (Coleoptera: Cerambycidae) and Rhadinomerus maebarai (Voss & Chûjô) (Coleoptera: Curculionidae) were more frequently attracted to traps baited with ethanol+α-pinene than to traps baited with other attractants. The addition of 3-carene to ethanol+α-pinene enhanced the capture of H. interstitialis, R. inquisitor, and Hylobius (Callirus) haroldi (Faust) (Coleoptera: Curculionidae).

탄소섬유 강화 플라스틱 (Carbon fiber reinforced plastics, CFRP)은 고함량의 탄소섬유 (Carbon fiber, CF)와 고분자로 이루어진 복합재료로서, 뛰어난 기계적 성능으로 항공우주, 자동차, 토목 등 다 양한 산업 분야에서 사용되고 있다. 하지만 사용량 증가에 따른 폐기물의 환경문제와 추출한 재활용 탄소섬유 (Recycled carbon fiber, rCF)의 적용 가능 분야의 한계로 인해 재활용이 제한적인 실정이 다. 본 연구에서는 rCF와 CF 혼입 시멘트계 전자파 복합재를 제작하여 그 성능을 비교 분석하기 위 한 실험을 수행하였다. 구성재료는 시멘트, 잔골재, 고성능 감수제를 사용하였으며, 비교 분석을 위해 CF와 rCF를 각각 6 mm, 12 mm 길이를 0.1, 0.3, 0.5, 1.0 wt.% 함량으로 사용하였다. 전자파 복합 재의 흡수 성능 향상을 위해 각각 다른 함량의 다층 구조를 형성하였으며, 전자파 투과를 낮은 함량에 서 높은 함량 방향이 되도록 측정을 진행하였다. 전자파 차폐성능은 재령 28일 이후 네트워크 분석기 를 사용하여 자유 공간에서 측정하였으며, C-band (4~8 GHz)와 X-band (8~12 GHz) 주파수 영역 에서의 반사율과 투과율을 각각 측정하였다.

부유식 해상태양광 설비는 패널 지지를 위한 프레임 구조물, 구조체의 부력 제공을 위한 부유체와 전체 시스템의 거동을 제한하는 계류시설로 구성되어 있다. 계류시설은 구조물의 지지조건으로서의 역 할을 통해 안정적인 발전량 수급에 기여한다. 하지만 해당 시스템은 설치된 해상환경 특성상 계류선의 파단 및 손상 시 직접적인 탐지가 불가능해 유지관리에 어려움이 있다. 따라서 본 연구에서는 패널지 지 프레임 구조체에 가속도 센서 부착을 가정하여, 해당 센서 계측값을 토대로 계류설비에서 발생한 파단 및 손상이 발생한 위치를 추정하는 알고리즘을 개발하였다. 알고리즘은 비지도학습 인공지능의 일종인 오토인코더를 활용하여 가속도 계측값의 재현 과정을 통해 정상상태의 구조 응답을 학습한 모 델이 비정상상태의 계측값을 재현 시 발생한 오차를 통해 손상 발생 여부와 위치를 실시간 탐지하도 록 구성하였다. 정상상태 구조응답을 기반으로 한 모델의 학습을 위해 패널지지 구조체를 10x10 격자 형으로 결합한 다중 결합 시스템에 불규칙파랑을 환경하중으로 적용함을 통해 발생한 6자유도 가속도 데이터를 확보하였다. 계류시설의 손상 발생 시 주된 변화 인자 탐지를 위해 상관성 분석과 민감도 분 석을 실시하여 손상 위치 추정 알고리즘에 적용할 주요 인자를 선별하여 학습 및 추정 성능에 대한 비교 분석을 수행하였다. 구축된 알고리즘의 테스트를 위해 총 5개 종 손상 케이스 데이터셋을 구축하 여 손상 위치 추정 성능을 비교하였다. 본 연구를 통해 계류 시설에 발생한 손상 여부 및 위치를 추정 하여 부유식 해상태양광 설비의 선제적 유지관리에 기여할 수 있을 것으로 기대된다.

With the increasing cultural exchanges, ethnic exchanges and international exchanges in the 21st century, the distance between countries and peoples has been gradually narrowed, and it is the urgent desire of every country to achieve peace, stability and development together. In this international situation, a new idea, “multicultural education”, has been born, which is to safeguard and protect the equal and common right to education of people of all countries by means of the power of education. One of the main objectives of multicultural education is to provide students with the necessary knowledge, culture and skills to help them better stand firm in the context of different ethnic cultures, community cultures, social mainstream cultures and cross-ethnic cultures, aiming to eliminate the concept of integration or homogenization, and avoid seeing all students as individuals with the same cultural background and experience. It’s about respecting and acknowledging their diversity. Multicultural education is not only a process of educational reform, but also a positive educational idea or value concept, which is of great significance to modern society and an important way to meet the diversified needs of students and improve the quality of education. At the same time, it also helps to cultivate students’ understanding and respect for different cultures and promotes the development of global citizenship. The concept of multicultural education has been clearly reflected in many disciplines, and the field of art is no exception. This concept emphasizes the importance of arts education in promoting cultural diversity and national identity. Through exposure to and learning about the music of different countries, nationalities and regions, students can also better understand and appreciate the value and uniqueness of various cultures, while strengthening their identity and pride in their own culture. From the perspective of multi-culture, Chinese music education has experienced a series of changes and development in the past period of time, and at the same time ushered in unprecedented opportunities and challenges. According to relevant research findings, China began to explore and study multicultural music education many years ago, and although it has made some achievements, there are still many problems. Based on this, this paper summarizes the problems exposed by Chinese music education under the multicultural situation, and explores and analyzes how to achieve better and more long-term development of Chinese music education under the multicultural perspective based on these problems.

본 실험에서는 외인성 효소 첨가제 및 혼합 세균 배양을 통한 고상발효(Solid-state fermentation, SSF)가 채종박(Rapeseed meal, RSM)의 체외건물소화율(In vitro dry matter digestibility, IVDMD) 및 단쇄지방산(Short chain fatty acid) 생성에 미치는 영향을 조사하기 위해 수행되었다. 외인성 효소 칵테일(첨가 및 미첨가) 및 RSM에 대한 SSF(발효 및 비발효)를 나타내는 2 x 2 요인 설계가 적용되었다. 3-step 돼지 소화율 모델을 적용하여 채종박의 건물 소화율을 분석하였으며, 72시간 대장발효 후 상층액을 수집하여 단쇄지방산 생성량을 분석한 후 칼로리 단위로 변환하여 가소화에너지 소화율을 분석하였다. 소장 (IVDMDh) 및 전장 (IVDMDt) 건물소화율에서는 고상발효된 채종박이 더 높게 나타났다 (각각 p < 0.01). 마찬가지로, 외인성 효소 첨가제 처리구에서 채종박의 소장 소화율(IVDMDh)이 증가하는 경향을 나타냈다(p = 0.06). Acetic acid 및 butyric acid의 생산은 대조구에 비해 고상발효 처리 시 유의하게 더 생산되었으며 (각각 p < 0.01), 이는 총 단쇄지방산의 생산 증가 경향을 나타냈다(p = 0.09). 에너지 소화율에서는 채종박의 고상발효 및 외인성 효소제 첨가가 유의적으로 높게 나타났다 ( p < 0.01). 그러므로 채종박의 고상발효 처리는 단백질 이용성을 비롯한 영양적 가치를 향상시키는데 효과적이라고 사료된다.

The present research focuses on the tribological behavior of the AA5083 alloy-based hybrid surface composite using aluminosilicate and multi-walled-carbon nanotube through friction stir processing for automotive applications. The friction stir processing parameters (tool rotation and traverse speed) are varied based on full factorial design to understand their influence on the tribological characteristics of the developed hybrid composite. The surface morphology and composition of the worn hybrid composite are examined using a field-emission scanning electron microscope and an energy-dispersive x-ray spectroscope. No synergistic interaction is observed between the wear rate and friction coefficient of the hybrid composite plate. Also, adhesive wear is the major wear mechanism in both base material and hybrid composite. The influence of friction stir process parameters on wear rate and the friction coefficient is analyzed using the hybrid polynomial and multi-quadratic radial basis function. The models are utilized to optimize the friction stir processing parameters for reducing the rate of wear and friction coefficient using multi-quadratic RBF algorithm optimization.

A glassy carbon electrode modified with a composite consisting of electrodeposited chitosan and carboxylated multi-walled carbon nanotubes (e-CS/MWCNTs/GCE) was used as a working electrode for simultaneous determination of dopamine (DA), serotonin (5-HT) and melatonin (MT), which were related to circadian rhythms. The electrochemical characterizations of the working electrode were carried out via electrochemical impedance spectroscopy and chronocoulometry. It was found that electrochemical modification method, that was cyclic voltammetry, may can cause continuous CS polymerization on MWCNTs surface to form a dense membrane with more active sites on the electrode, and the electrochemically active surface area of e-CS/MWCNTs/GCE obtained was about 7 times that of GCE. The electrochemical behaviour of DA, 5-HT and MT on working electrode were carried out via differential pulse voltammetry and cyclic voltammetry. The results showed that e-CS/MWCNTs/GCE solved the problem that the bare electrode could not detect three substances simultaneously, and can catalyze oxidation potential difference as low as 0.17 V of two substances reaction at the same time, indicating very good electrocatalytic activity. By optimizing the detection conditions, the sensor showed a good linear response to DA, 5-HT and MT in the range of 20-1000 μmol/L, 9-1000 μmol/L and 20-1000 μmol/L, and the detection limits were 12 μmol/L, 10 μmol/L and 22 μmol/L (S/N = 3), respectively. In addition, the proposed sensor was successfully applied to the simultaneous detection of DA, 5-HT and MT in human saliva samples.

다중 에이전트 강화학습의 발전과 함께 게임 분야에서 강화학습을 레벨 디자인에 적용하려는 연구가 계속되 고 있다. 플랫폼의 형태가 레벨 디자인의 중요한 요소임에도 불구하고 지금까지의 연구들은 플레이어의 스킬 수준이나, 스킬 구성 등 플레이어의 매트릭에 초첨을 맞춰 강화학습을 활용하였다. 따라서 본 논문에서는 레 벨 디자인에 플랫폼의 형태가 사용될 수 있도록 시각 센서의 가시성과 구조물의 복잡성을 고려하여 플랫폼 이 플레이 경험에 미치는 영향을 연구한다. 이를 위해Unity ML-Agents Toolkit과MA-POCA 알고리즘, Self-play 방식을 기반으로2vs2 대전 슈팅 게임 환경을 개발하였으며 다양한 플랫폼의 형태를 구성하였다. 분석을 통해 플랫폼의 형태에 따른 가시성과 복잡성의 차이가 승률 밸런스에는 크게 영향을 미치지 않으나 전체 에피소 드 수, 무승부 비율, Elo의 증가폭에 유의미한 영향을 미치는 것을 확인했다.

Taguchi method is one of the most popular approaches for design optimization such that performance characteristics become robust to uncontrollable noise variables. However, most previous Taguchi method applications have addressed a single-characteristic problem. Problems with multiple characteristics are more common in practice. The multi-criteria decision making(MCDM) problem is to select the optimal one among multiple alternatives by integrating a number of criteria that may conflict with each other. Representative MCDM methods include TOPSIS(Technique for Order of Preference by Similarity to Ideal Solution), GRA(Grey Relational Analysis), PCA(Principal Component Analysis), fuzzy logic system, and so on. Therefore, numerous approaches have been conducted to deal with the multi-characteristic design problem by combining original Taguchi method and MCDM methods. In the MCDM problem, multiple criteria generally have different measurement units, which means that there may be a large difference in the physical value of the criteria and ultimately makes it difficult to integrate the measurements for the criteria. Therefore, the normalization technique is usually utilized to convert different units of criteria into one identical unit. There are four normalization techniques commonly used in MCDM problems, including vector normalization, linear scale transformation( max-min, max, or sum). However, the normalization techniques have several shortcomings and do not adequately incorporate the practical matters. For example, if certain alternative has maximum value of data for certain criterion, this alternative is considered as the solution in original process. However, if the maximum value of data does not satisfy the required degree of fulfillment of designer or customer, the alternative may not be considered as the solution. To solve this problem, this paper employs the desirability function that has been proposed in our previous research. The desirability function uses upper limit and lower limit in normalization process. The threshold points for establishing upper or lower limits let us know what degree of fulfillment of designer or customer is. This paper proposes a new design optimization technique for multi-characteristic design problem by integrating the Taguchi method and our desirability functions. Finally, the proposed technique is able to obtain the optimal solution that is robust to multi-characteristic performances.

해양은 인간이 발생시킨 대기 중 탄소를 흡수하고 탄소가 대기 중에 더욱 축적되는 것을 방지하는 등 국제 탄소 순환에서 중요 한 역할을 하고 있다. 그러나 유엔기후변화협약(UNFCCC) 당사국총회 및 주요 협상의제에서 해양 분야는 기후변화에 의한 희생자로 여겨 진 반면, 기후해결을 위한 해결책으로서는 크게 주목받지 못하였다. 최근 해양과 기후시스템이 서로 긴밀하게 연결되어 있고 해양은 기후 위기를 해결하기 위해 그 동안 다루지 않았던 수많은 기회를 제공할 수 있다는 인식이 제고되면서, 해양을 기반으로 한 기후 행동을 강화 하기 위한 논의를 시작하고 있다. UNFCCC는 2020년부터 해양과 기후변화 이슈를 통합하고 이를 강화하기 위한 논의의 장으로서 ‘해양대 화’를 개최하며, 해양기반기후행동을 강화하기 위한 방안과 도전과제 등을 논의·공유하고 있다. 이와 관련하여 본 연구는 해양기반기후행 동에 대한 국제적 논의 배경과 주요 내용을 살펴보고, 해양기반기후행동이 추구해야 하는 내용의 범위와 이를 달성하기 위한 방향에 대 한 견해를 제시해보았다. 그리고 해양기반기후행동을 강화하기 위한 방안으로서 통합적 접근과 상호혜택의 증진 등을 위한 과제를 제시 하고, 이를 기반으로 국내에서 해양기반기후행동을 강화하기 위한 과제를 제안하였다.

Bellows expansion joints enhance the displacement performance of piping systems owing to their unique geometrical features. However, structural uncertainties such as wall thinning in convolutions, a byproduct of the manufacturing process, can impair their structural integrity. This study addresses such issues by conducting a global sensitivity analysis to assess the impact of these uncertainties on the performance of bellows expansion joints under monotonic loading. Global sensitivity analysis, which examines main and nth order interaction effects, is computationally expensive. To mitigate this, we employed a surrogate model-based approach using an artificial neural network. This model demonstrated robust prediction capabilities, as evidenced by metrics such as the coefficient of determination. The sensitivity indices of the main effect for the 2-ply and 3-ply bellows at the sixth convolution were 0.3340 and 0.3233, respectively. The sensitivity index of the sixth convolution was larger than that of other convolutions because the maximum deformation of the bellows expansion joint under monotonic bending load occurs around it. Interestingly, the sensitivity index for the interaction effect was negligible (0.01%) compared to the main effect, suggesting minimal activity between uncertainty factors across convolutions. Notably, bellows expansion joints under repetitive loading exhibit more complex behaviors, with the initial leakage typically occurring at the convolution. Therefore, future studies should focus on the structural uncertainties of bellows expansion joints under cyclic loading and employ a surrogate model for comprehensive global sensitivity analysis.

최근 노인 인구가 증가함에 따라, 이들의 삶의 질에 대한 사회적 관심도가 높아지고 있으며, 노인들의 건강하고 활기찬 노후를 고려하는 활동적 노후 및 고령친화도시의 개념이 주목받고 있다. 이러한 상황에서 많은 지자체는 노인들이 지역 사회에서 여생을 의미 있게 보낼 수 있도록 다양한 노인여가복지 서비스를 제공하기 위해 노력하고 있다. 그러나 실질적인 노인 수요에 부합하는 서비스 공급이 이루어지지 못하고 있으며, 지역별로 노인여가복지 서비스의 공간적 격차가 발생하고 있는 실정이다. 이는 노인여가복지 입지와 관련하여 체계적인 법적 기준이 부재하기 때문이다. 이에 본 연구는 서울시의 노인여가복지 시설에 대한 수요와 공급의 공간적 불일치성을 탐색하고, 공간 효율성과 형평성을 고려한 노인복지센터의 최적 입지 대안을 제시하고 있다. 연구 결과, 여러 입지 시나리오에 따라 서울시 노인복지센터의 공간적 접근성을 향상시킬 수 있는 다양한 최적 입지 대안들을 제시할 수 있었으며, 향후 노인복지 서비스 공급과 관련한 계획 및 정책에 있어 중요한 기초 자료로 활용될 수 있을 것으로 기대된다

If radioactive plumes are released outside due to loss of containment building integrity during a nuclear power plant accident, these materials might travel with the wind, affecting both the surrounding environment and neighboring countries. In China, most nuclear power plants are located on the eastern coast. Consequently, a radioactive plume generated during an accident could negatively impact even the western part of the Korean Peninsula due to westerly winds. To detect such problems early, respond quickly, and protect residents, a system that can monitor aerial radiation under normal conditions is needed. Additionally, a detection system that can operate in real-time in an emergencies conditions is required. The current method for aerial radiation measurement takes environmental radiation data from a monitoring post 1.5 m above the ground and converts it to altitude. To measure actual aerial radiation, an expansive area is surveyed by aircraft. However, this approach is both time-consuming and expensive. Thus, to monitor radioactive plumes influenced by environmental factors like wind, we need a radiation detector that can gauge both radioactivity and directionality. In this study, we developed a radiation detector capable of assessing both the radioactivity and directionality of a radioactive plume and conducted its performance evaluation. We miniaturized the radiation detector using a CZT (Cadmium Zinc Telluride) sensor, enabling its mounting on unmanned aerial vehicles like drones. It is configured with multi-channels to measure directionality of a radioactive plumes. For performance evaluation, we positioned two-channel CZT sensors at 90 degrees and measured the energy spectrum for angle and distance using a disk-type radioactive isotope. Using this method, we compared and analyzed the directionality performance of the multi-channel radiation detector. We also confirmed its capability to discern specific radioactivity information and nuclide types in actual radioactive plumes. Our future research direction involves mounting the multi-channel radiation detector on a drone. We aim to gather actual aerial radiation data from sensors positioned in various directions.

The high-level radioactive waste repository must ensure its performance for a long period of time enough to sufficiently reduce the potential risk of the waste, and for this purpose, multibarrier systems consisting of engineered and natural barrier systems are applied. If waste nuclides leak, the dominating mechanisms facilitating their movement toward human habitats include advection, dispersion and diffusion along groundwater flows. Therefore, it is of great importance to accurately assess the hydrogeological and geochemical characteristics of the host rock because it acts as a flow medium. Normally, borehole investigations were used to evaluate the characteristics and the use of multi-packer system is more efficient and economical compared to standpipes, as it divides a single borehole into multiple sections by installing multiple packers. For effective analyses and groundwater sampling, the entire system is designed by preselecting sections where groundwater flow is clearly remarkable. The selection is based on the analyses of various borehole and rock core logging data. Generally, sections with a high frequency of joints and evident water flow are chosen. Analyzing the logging data, which can be considered continuous, gives several local points where the results exhibit significant local changes. These clear deviations can be considered outliers within the data set, and machine learning algorithms have been frequently applied to classify them. The algorithms applied in this study include DBSCAN (density based spatial clustering of application with noise), OCSVM (one class support vector method), KNN (K nearest neighbor), and isolation forest, of which are widely used in many applications. This paper aims to evaluate the applicability of the aforementioned four algorithms to the design of multi-packer system. The data used for this evaluation were obtained from DB-2 borehole logging data, which is a deep borehole locates near KURT.