This paper is a quantitative follow-up study of Lee’s (2017) qualitative examination on the usage of Korean human nouns for inanimate/non-human referents. It investigated the usage of “demonstrative + human noun” construct (e.g., yay ‘this child,’ i-chinkwu ‘this friend’) referring to inanimate referents by examining various factors that were chosen based on findings and discussions from Lee (2017) and Kim (2018, 2021). Statistical results conformed to the findings of these earlier studies, showing that human nouns referring to inanimate referents were favored when referents were compared to other things or had concrete concept. In addition, it was also revealed that formality conditioned the realization of human noun usage as human nouns for inanimate/non-human referents were favored in less formal contexts. These results provided a quantitative verification of Lee’s (2017) findings and additional insights to Kim (2018, 2021) along with the usefulness of interdisciplinary approaches to understanding sociolinguistic variables.

자기공명영상은 인체 내부 구조와 병변을 비침습적으로 시각화하는 핵심 의료 영상 기법으로 자리 잡고 있으며, 특히 신경계 및 심혈관계 질환과 같은 복잡한 질병의 진단에서 필수적인 도구로 활용되고 있다. 기존의 자기공명영상 시스 템은 영상의 해상도와 신호대잡음비에서 한계가 있었으나, 최근의 기술 발전은 이러한 한계를 극복하고 진단 정확성 을 높이는 방향으로 나아가고 있다. 고자기장 자기공명영상 시스템의 도입은 해상도와 신호대잡음비를 개선하는 데 기여하고 있으며, 병렬 영상 기법은 촬영 속도를 향상시키면서도 영상 품질의 손실을 최소화한다. 또한, 압축 센싱 (compressed sensing) 기술은 데이터 획득 시간을 줄여 촬영 효율성을 높이는 데 중요한 역할을 하고 있다. 최근 인공지능(AI)의 발전으로, 자기공명영상 데이터에서 초해상도 복원(super-resolution) 및 노이즈 제거와 같은 영상 후처리 기술이 획기적으로 향상되었다. 인공지능 기반의 영상 향상 기술은 저해상도 데이터를 고해상도로 변환하고, 촬영 과정에서 발생할 수 있는 왜곡과 노이즈를 효과적으로 제거하여, 더 정확하고 명확한 진단 영상을 제공한다. 이러한 발전은 단순히 영상의 품질을 높이는 것을 넘어, 임상 진단의 정확성과 효율성을 크게 향상시키고 있으며, 특히 제한된 촬영 시간을 요구하는 응급 상황에서 유용성이 두드러진다. 본 논문에서는 자기공명영상 촬영 기법의 최신 발전과 인공지능 기반 영상 향상 기술의 동향을 여러모로 분석하고, 이들의 임상적 유용성을 조명함으로써 고해 상도 자기공명영상이 의료 분야에서 가지는 의미와 향후 발전 방향을 제시하고자 한다.

This study investigates the performance characteristics of electrodeposited (ED) silver nanowires (AgNWs) networks as transparent conducting electrodes (TCEs) considering Cu(In,Ga)Se2 (CIGS) thin-film solar cells. The electrodeposition process uniformly deposits silver onto a network of spin-coated AgNWs, resulting in the enlargement of individual nanowire diameters and the formation of stronger interconnections between the AgNWs. This structural enhancement significantly improves both the electrical conductivity and thermal stability of the ED AgNW networks, making them more efficient and robust for practical applications in solar cells. The study comprehensively examines the optoelectronic properties of the ED AgNW networks, encompassing total and specular transmittance, transmission haze values, and sheet resistance, with varying durations of silver electrodeposition. Additionally, this study presents the current density (J)-voltage (V) characteristics of CIGS thin-film solar cells employing the ED AgNW TCEs, revealing how electrodeposition duration impacts overall device performance. These findings offer valuable insights for optimizing TCEs in not only thin-film solar cells but also in other optoelectronic devices, highlighting the potential for improved long-term stability across various applications without compromising performance.

Airpower plays a key role in neutralizing military threats and securing victory in wars. This study analyzes newly introduced fighter forces by considering factors like performance, power index, operational environment, airbase capacity, survivability, and sustainment capability to devise an optimal deployment strategy that enhances operational efficiency and effectiveness. Using optimization methods like mixed integer programming (MIP), the study incorporates constraints such as survivability and mission criticality. The focus is on major Air Force operations, including air interdiction, defensive counter-air, close air support, and maritime operations. Experimental results show the proposed model outperforms current deployment plans in both wartime and peacetime in terms of operations and sustainment.

North Korea has repeatedly provoked using unmanned aerial vehicles (UAVs), and the threat posed by UAVs continues to escalate, as evidenced by recent directives involving the use of waste-laden balloons and the development of suicide drones. North Korea’s small UAVs are difficult to detect due to their low radar cross-section (RCS) values, necessitating the efficient deployment and operation of assets for effective response. Against this backdrop, this study aims to predict the infiltration routes of enemy UAVs by considering their perspective, avoiding key facilities and obstacles, and propose deployment strategies to enable rapid detection and response during provocations. Utilizing the Markov Decision Process (MDP) based on previous studies, this research presents a model that reflects both UAV flight characteristics and regional environments. Unlike previous models that designate a single starting point, this study addresses the practical challenge of uncertainty in initial infiltration points by incorporating multiple starting points into the scenarios. By aggregating and integrating the probability maps derived from these variations into a unified map, the model predicts areas with a high likelihood of UAV infiltration over time. Furthermore, based on case studies in the capital region, this research proposes deployment strategies tailored to the specifications of currently known anti-drone integrated systems. These strategies are expected to support military decision-making by enabling the efficient operation of assets in areas with a high probability of UAV infiltration.

This study proposes a mathematical model to optimize the fighter aircraft-weapon combinations for the Republic of Korea Air Force. With the recent emergence of the population cliff issue due to declining birth rates in Korea, there is an urgent need for efficient weapon system operations in light of decreasing military personnel. This study aims to enhance operational environments and mission efficiency within the military. The objective is to reduce the workload of pilots and maintenance personnel by operating an optimal number of weapons instead of deploying all possible armaments for each aircraft type. To achieve this, various factors for optimizing the fighter-weapon combinations were identified and quantified. A model was then constructed using goal programming, with the objective functions based on the compatibility, Circular Error Probable (CEP), and fire range of the weapons, along with the planned wartime mission-specific weapon ratios for each aircraft type. Experimental analysis of the proposed model indicated a significant increase in mission performance efficiency compared to the existing system in both operational and maintenance aspects. It is hoped that this model will be applied in military settings.

This study presents an optimization model for the Tactical Information Communication Network (TICN), which is crucial for military operations, focusing on the efficient deployment of communication nodes to create a rapid and robust network while minimizing both distances and the number of nodes required. By integrating mixed integer programming (MIP) with minimum spanning tree (MST) and Steiner Tree algorithms, the model ensures that nodes are connected through the shortest, most efficient routes. Simulations demonstrate the model’s ability to form cohesive networks under constrained resources and time, reducing transmission distances and maintaining network stability. Case studies in a grid environment confirm the system's efficiency, with the model able to redeploy nodes if damaged to preserve network integrity. By utilizing both high- and low-capacity transmission systems, the model ensures reliable communication in challenging terrains like Korea’s mountainous landscape. The findings have critical implications for military communication strategies, especially for multi-domain operations involving air, land, and sea forces, and support decision-making for rapid and efficient deployment of communication networks in unpredictable conditions.

In this study, carbon coating was carried out by physical vapor deposition (PVD) on SiOx surfaces to investigate the effect of the deposited carbon layer on the performance of lithium-ion batteries as a function of the asphaltene content of petroleum residues. The petroleum residue was separated into asphaltene-free petroleum residue (ASF) and asphaltene-based petroleum residue (AS) containing 12.54% asphaltene by a solvent extraction method, and the components were analyzed. The deposited carbon coating layer became thinner, with the thickness decreasing from 15.4 to 8.1 nm, as the asphaltene content of the petroleum residue increased, and a highly crystalline layer was obtained. In particular, the SiOx electrode carbon-coated with AS exhibited excellent cycling performance with an initial efficiency of 85.5% and a capacity retention rate of 94.1% after 100 cycles at a current density of 1.0 C. This is because the carbon layer with enhanced crystallinity had sufficient thickness to alleviate the volume expansion of SiOx, resulting in stable SEI layer formation and enhanced structural stability. In addition, the SiOx electrode exhibited the lowest resistance with a low impedance of 23.35 Ω, attributed to the crystalline carbon layer that enhanced electrical conductivity and the mobility of Li ions. This study demonstrated that increasing the asphaltene content of petroleum residues is the simplest strategy for preparing SiOx@C anode materials with thin, crystalline carbon layers and excellent electrochemical performance with high efficiency and high rate performance.

This study explores the contemporary reinterpretation of traditional suit design through the lens of post-structuralist philosopher Jacques Derrida’s concept of decentralization. The objective is to systematically analyze the diverse expression methods of decentralized suits in contemporary fashion and identify their design characteristics, thus exploring various design possibilities for decentraliz suits. To achieve this, the study examines the deconstructivist fashion collections of notable designers such as Martin Margiela, Rei Kawakubo of Comme des Garçons, Alexander McQueen, and Thom Browne, analyzing 269 decentralized suits from their men’s collections from 2009 to the present. The methods of decentralization are categorized based on the structure (composition), details, and materials of the garments, are classified into deconstruction, discontinuity, and disorder. Specific expression methods include irregular wearing, layering, asymmetry, and distortion for deconstruction; omission, heterogeneous insertion, material transition, and separation for discontinuity; and tearing, graffiti, and unfinished elements for disorder. The identified design characteristics are as follows: gender-neutral and category-free, which dismantles the rigid formality and masculine image of suits to allow flexible and diverse gender expressions; integration of unconventional elements, which combines traditional suit design with non-traditional details like ruffles, strings, unfinished edges, and graffiti to create new designs; and sustainable design, which utilizes the deconstruction and recombination of existing suits to recycle discarded suits, making it suitable for upcycling.

3D printing using ceramic powder to produce precision ceramic parts has been studied with various additive manufacturing methods. This study analyzed problems occurring in alumina additive manufacturing that uses digital light processing (DLP) as well as methods to address such problems. For efficient analysis, we have classified alumina additive manufacturing into three types according to the driving method of the build platform - lifting type (LT), tilting type (TT) of the vat, and blade movement type (BT). LT had a problem with detachment and cracking of the alumina green body. However, this could be prevented by carefully controlling the cure depth of the suspension slurry and the bonding force between layers and improving the material used for coating the vat. TT, which resulted in non-uniform alumina additive manufacturing, could be improved by modifying the bidirectionality of the axis and the fluidity of the highly viscous alumina suspension slurry. BT resulted in detachment of the specimen as well as non-uniform results, but this could be avoided by shortening the shifting distance of the alumina suspension when it is introduced to the build platform, and enabling effective spreading.

The development of the electronics industry has led to an increased demand for the manufacture of MLCC (Multilayer Ceramic Capacitors), which in turn is expected to result in a rise in MLCC waste. The MLCC contains various metals, notably barium, titanium, and nickel, whose disposal is anticipated to increase correspondingly. Recently, recycling technologies for electronic waste have garnered attention as they address waste management and raw material supply challenges. This paper investigates the recovery of barium, nickel, and titanium from the MLCC by a hydrometallurgical process. Using citric acid, which is an organic acid, the metal inside the MLCC was leached. Additionally, metal materials were recovered through precipitation and complexing processes. As a result, barium and titanium were recovered from the leachate of the waste MLCC, and 93% of the nickel-based powder was recovered. Furthermore, the optimal recovery process conditions for recycling these metal elements were investigated.

In this study, we have determined mitochondrial genome of Matsucoccus thunbergianae isolated in Korea. The circular mitogenome of M. thunbergianae is 15,406 bp including 13 protein-coding genes, two ribosomal RNA genes, and 22 transfer RNAs. AT ratio is 78.2%. Maximum-likelihood and Bayesian inference phylogenetic trees show that M. thunbergianae is clustered with M. matsumurae, and family Margarodidae is clustered with family Pseudococcidae with enough supportive values.