소재·부품·장비(소부장) 산업은 국가 제조업 경쟁력의 핵심 동력으로, 정부는 소부장 R&D 지원사업을 통해 소부장 산업 혁신을 유도하고 있다. 본 연구는 성향점수매칭 (PSM)과 이중차분법(DiD) 및 삼중차분법(DDD)을 활용하여 소부장 R&D 지원사업이 수혜 기업의 경제적·기술적·사회적 성과에 미친 영향을 분석하고, 소부장 전문기업 지정효과에 대한 실증적 분석을 수행하였다. 연구결과 소부장 R&D 지원은 기업의 경제적 성과 일부에서 부정 적인 영향을 보였으며 기술적·사회적 성과에서는 유의미한 효과가 미미하였다. 반면에 소부장 전문기업 지정 제도는 순이익증가율, 총자산수익률 등 일부 경제적 성과와 연구개발집중도, 연구개발비증가율 등 일부 기술적 성과에서 유의미한 효과를 보였다. 한편, 사회적 성과에서는 소부장 일반기업 및 전문기업 모두 유의미한 성과를 확인할 수 없었다. 본 연구는 소부장 R&D 지원사업의 효과 분석뿐만 아니라 소부장 전문기업 지정제도를 실증적으로 평가한 점 에서 기존 정책 연구와 차별성을 가진다. 본 연구의 결과를 통해 정책 입안자의 소부장 성과 관리체계 강화 필요성, 소부장 전문기업 지정제도에 대한 제도적 보완과 소부장 기업의 소부장 지원 정책에 대한 전략적 접근 필요성 등을 제시하였다.

본 연구는 합성 아질산염 대체 천연보존료로 개발하고자 천연물 유래 복합추출물(NP-NAP, NP-NAMR)의 성분 특성 과 소시지에의 적용 시 품질 특성을 규명하였다. NP-NAP 와 NP-NAMR 0.5-1.0% (w/v)는 90.1-100%의 ABTS 라디 칼 저해능과 10 mg/mL에서 각각 811 μM 및 770 μM trolox 상당의 FRAP 활성을 보였다. NP-NAP와 NP-NAMR은 S. aureus와 L. monocytogenes, E. coli 및 S. Typhimurium에 대 해 0.1% (w/v)에서 99.99-100%의 감소율을 보였고 C. perfringens에 대해 1%와 2% (w/v)에서 각각 89.0-91.4%와 84.7-100% 이상의 감소율을 보였다. 천연 복합추출물 첨가 소시지 시제품의 냉장 중 품질 특성에서 4주 차 pH (6.43- 6.57)와 NP-NAMR 첨가 시 높은 a 값(23.54% 및 28.81)을 확인하였다. Springiness와 cohesiveness는 NP-NAP 1%가 높 았으나 다른 모든 시험구는 양성 대조구와 유의적 차이가 없었다(P<0.05). 냉장 중 평균 MDA (0.87-1.183 μM)는 양 성 대조구(0.93-0.96 μM)와 유사하였으며(P<0.05) 총 증가 균수(log CFU)는 1% 첨가(1.10-1.32) 시 nitrite pickling salt (NPS) 0.08% (1.31)과 유사하였고 2% 첨가 시(0.17-0.49)는 commercial product from Spain (CPS) 1% (0.53)보다 적었 다. 종합적 기호도는 NP-NAMR 2% 제외한 모든 시험구는 통계적 유의차가 없었다. 이상의 결과, 과채 추출물 유래 NP-NAP와 NP-NAMR은 항산화, 항균 활성과 안정적인 적 색도와 함께 식약처 고시 소시지류의 기준 및 규격을 만족 하여 합성 아질산염과 시판 수입품을 대체하는, 유효한 소 재가 될 수 있을 것으로 사료된다.

This study examined domestic consumption trends in the development of mushroom-based alternative food products. It found that 85.5% of consumers were aware of alternative foods, with a higher recognition rate among younger age groups and variations based on household composition and monthly income. Additionally, 70% of consumers familiar with alternative foods had tried them. Among those who had not, taste (16%) and purchasing challenges (15%) were the primary barriers. Minced meat was the most commonly consumed alternative (25%), while dumplings (7%) and burgers (1%) were less popular. Notably, dumplings and burgers showed the highest potential for development using mushroom-based ingredients. These findings provide valuable foundational data for advancing mushroom-based alternative food products.

This paper explores a convergent approach that combines advanced informatics and computational science to develop road-paving materials. It also analyzes research trends that apply artificial-intelligence technologies to propose research directions for developing new materials and optimizing them for road pavements. This paper reviews various research trends in material design and development, including studies on materials and substances, quantitative structure–activity/property relationship (QSAR/QSPR) research, molecular data, and descriptors, and their applications in the fields of biomedicine, composite materials, and road-construction materials. Data representation is crucial for applying deep learning to construction-material data. Moreover, selecting significant variables for training is important, and the importance of these variables can be evaluated using Pearson’s correlation coefficients or ensemble techniques. In selecting training data and applying appropriate prediction models, the author intends to conduct future research on property prediction and apply string-based representations and generative adversarial networks (GANs). The convergence of artificial intelligence and computational science has enabled transformative changes in the field of material development, contributing significantly to enhancing the performance of road-paving materials. The future impacts of discovering new materials and optimizing research outcomes are highly anticipated.

PURPOSES : As evaluation methods for road paving materials become increasingly complex, there is a need for a method that combines computational science and informatics for new material development. This study aimed to develop a rational methodology for applying molecular dynamics and AI-based material development techniques to the development of additives for asphalt mixtures. METHODS : This study reviewed relevant literature to analyze various molecular models, evaluation methods, and metrics for asphalt binders. It examined the molecular structures and conditions required for calculations using molecular dynamics and evaluated methods for assessing the interactions between additives and asphalt binders, as well as properties such as the density, viscosity, and glass transition temperature. Key evaluation indicators included the concept and application of interaction energy, work of adhesion, cohesive energy density, solubility parameters, radial distribution function, energy barriers, elastic modulus, viscosity, and stress-strain curves. RESULTS : The study identified key factors and conditions for effectively evaluating the physical properties of asphalt binders and additives. It proposed selective application methods and ranges for the layer structure, temperature conditions, and evaluation metrics, considering the actual conditions in which asphalt binders were used. Additional elements and conditions considered in the literature may be further explored, considering the computational demands. CONCLUSIONS : This study devised a methodology for evaluating the physical properties of asphalt binders considering temperature and aging. It reviewed and selected useful indicators for assessing the interaction between asphalt binders, additives, and modified asphalt binders and aggregates under various environmental conditions. By applying the proposed methods and linking the results with informatics, the interaction between asphalt binders and additives could be efficiently evaluated, serving as a reliable method for new material development.

Composite-based piezoelectric devices are extensively studied to develop sustainable power supply and selfpowered devices owing to their excellent mechanical durability and output performance. In this study, we design a leadfree piezoelectric nanocomposite utilizing (Ba0.85Ca0.15)(Ti0.9Zr0.1)O3 (BCTZ) nanomaterials for realizing highly flexible energy harvesters. To improve the output performance of the devices, we incorporate porous BCTZ nanowires (NWs) into the nanoparticle (NP)-based piezoelectric nanocomposite. BCTZ NPs and NWs are synthesized through the solidstate reaction and sol-gel-based electrospinning, respectively; subsequently, they are dispersed inside a polyimide matrix. The output performance of the energy harvesters is measured using an optimized measurement system during repetitive mechanical deformation by varying the composition of the NPs and NWs. A nanocomposite-based energy harvester with 4:1 weight ratio generates the maximum open-circuit voltage and short-circuit current of 0.83 V and 0.28 A, respectively. In this study, self-powered devices are constructed with enhanced output performance by using piezoelectric energy harvesting for application in flexible and wearable devices.

BNKT Ceramics, one of the representative Pb free based piezoelectric ceramics, constitutes a perovskite(ABO3) structure. At this time, the perovskite structure (ABO3) is in the form where the corners of the octahedrons are connected, and in the unit cell, two ions, A and B, are cations, A ion is located at the body center, B ion is located at each corner, and an anion O is located at the center of each side. Since Bi, Na, and K sources constituting the A site are highly volatile at a sintering temperature of 1100℃ or higher, it is difficult to maintain uniformity of the composition. In order to solve this problem, there should be suppression of volatilization of the A site material or additional compensation of the volatilized. In this study, the basic composition of BNKT Ceramics was set to Bi0.5(Na0.78K0.22)0.5TiO3 (= BNKT), and volatile site (Bi, Na, and K sources) were coated in the form of a shell to compensate additionally for the A site ions. In addition, the physical and electrical properties of BNKT and its coated with shell additives(= @BNK) were compared and analyzed, respectively. As a result of analyzing the crystal structure through XRD, both BNKT(Core) and @BNK(Shell) had perovskite phases, and the crystallinity was almost similar. Although the Curie temperature of the two sintered bodies was almost the same (TC = 290 ~ 300 ℃), it was confirmed that the d33 (piezoelectric coefficient) and Pr (residual polarization) values were different. The experimental results indicated that the additional compensation for a shell additive causes the coarsening, resulting in a decrease in sintering density and Pr(remanent polarization). However, coating shell additives to compensate for A site ion is an effective way to suppress volatilization. Based on these experimental results, it would be the biggest advantage to develop an eco-friendly material (Lead-free) that replaced lead (Pb), which is harmful to the human body. This lead-free piezoelectric material can be applied to a biomedical device or products(ex. earphones (hearing aids), heart rate monitors, ultrasonic vibrators, etc.) and skin beauty improvement products (mask packs for whitening and wrinkle improvement).

지진은 예상하지 못한 위치와 규모로 지반을 흔들어서 막대한 물적 및 인적 피해를 발생시킨다. 따라서 지진으로 인 한 진동을 최소화하고 피해를 방지하기 위하여 다양한 내진 기술 개발 연구가 수행되고 있다. 최근에는 우수한 성능을 나타내 는 다양한 신소재가 개발되고 있으며 이를 접목된 내진 기술 개발 연구가 하나의 트렌드가 되고 있다. 본 연구에서는 반영구적 이고 자동복원이 가능한 신소재를 적용한 새로운 개념의 영구마찰 자동복원 댐퍼를 제안하고 핵심 부재에 대한 물리적 특성 검 증 연구를 수행한다. 영구마찰 자동복원 댐퍼의 핵심은 복원 특성을 나타내는 초탄성 형상기억합금과 폴리우레탄을 부재로 장 착시키고 추가적인 마찰 특성을 나타내는 네오디뮴 영구자석을 사용하였다. 이러한 핵심 부재는 재료실험을 통해 특성을 검증 하였고 도출된 거동 응답 결과를 통해 영구마찰 자동복원 댐퍼의 구조실험 예측 거동을 도출하였다. 우수한 복원 성능을 나타 내는 영구마찰 자동복원 댐퍼는 최대 하중 성능과 에너지 소산 능력이 우수하여 구조물에 적용 시 강한 지진에도 버티면서 발 생된 손상도 회복 시킬 수 있을 것으로 기대된다.