Within the framework of a project entitled “Development of Advanced Sweet Potato Cultivation Technology for Smallholder Farmers in Paraguay” implemented by KOPIA Paraguay Center (Korea Partnership for Innovation of Agriculture) in collaboration with Paraguayan Institute of Agricultural T echnology (I PTA) d uring the period 2021-2024, r esults o f four m ain e xperiments are described in this research: selection of suitable varieties, optimal planting and harvesting times, the use of ridges, and optimal chemical fertilization doses. In the selection of suitable varieties for Paraguay, 11 sweet potato varieties were evaluated in departments of San Pedro and Misiones. As a result, varieties Andaí, Jety Paraguay, and Chaco I showed the highest productivity in San Pedro, while varieties Jety Uruguayo, Chaco I, and Taiwanés showed higher productivity in Misiones. The other three experiments were carried out in San Pedro only. Optimal planting and harvesting times were determined with three varieties: Andaí, Pyta Guasu, and Jety Paraguay. For Andaí and Jety Paraguay varieties, they should be planted in December and harvested at 122 days post planting (DPP). For Pyta Guasu, it should be planted in October and harvested at 124 DPP. Regarding productivity response with soil preparation methods, the use of ridges showed higher yields in all planting methods, with the curved method planting being the most productive. Finally, optimal chemical fertilization doses were established in order to improve the total yield. The optimal nitrogen fertilizer dose (urea 45% N) was 40 kg/ha. The optimal phosphorus fertilizer dose (triple superphosphate 45% P2O5) was 80 kg/ha and the optimal potassium fertilizer dose (potassium chloride 60% K2O) was 120 kg/ha.

The purpose of this study is to identify factors that influence consumers’ acceptance intentions towards Direct-to-Consumer (DTC) Genetic Testing service. DTC genetic testing service can be considered in two aspects: the application of new technology in genetic testing customers can directly purchase and the services for receiving the test results customer can’t directly analyze. Existing technology-based acceptance models have difficulty fully explaining consumers’ acceptance intentions towards DTC genetic testing services. Therefore, this study aims to propose a new acceptance model considering these two characteristics. A survey was conducted with 377 potential consumers for this research. The analysis revealed that health interest, prior knowledge, subjective norms, innovativeness, perceived usefulness, and perceived value affect consumers’ acceptance intentions. The results obtained through this study can help establish strategies and marketing plans necessary for the diffusion of services, such as DTC genetic testing services, that combine a new technology and a service. In the long term, the accumulated DTC genetic testing results data can contribute to the development of national genetic information infrastructure and preventive medical applications, as well as improve individuals’ quality of life.

This study was conducted for the purpose of systematically identifying research trends in technology transfer and commercialization and setting future research directions in academia. Over a total of 35 years (1987-2021), 146 papers related to technology transfer and commercialization were analyzed for research period, research area, research methods, and research subjects. The research results are as follows. First, the largest number of papers (55) was published during the Park Geun-hye administration. Second, among major academic journals, only the ‘Korea Society for Technology Innovation’ had a relatively high proportion of research. Third, quantitative research (38%) was the most widely applied research method. Fourth, the most frequent research target was institutions/systems (44%). Additionally, the results of frequency analysis of 729 keywords were presented in a word cloud. This study is significant as the most current study that attempted bibliographic analysis of technology transfer and commercialization research papers over the past 35 years.

현대 사회에서 음악은 일상생활에 깊숙이 자리 잡아, 개인의 음악적 취향과 감정 상태에 맞는 콘텐츠를 손쉽게 찾고 소비하는 것이 중요해지고 있다. 콘텐츠 소비 증가와 더불어 제작 속도 및 효율 또한 중요한 요소로 부상하고 있다. 그러나 기존 음악 콘텐츠 제작 방식은 주로 기존 음악을 플레이리스트로 만들고 간단한 애니메이션이나 이미지를 영상으로 추가하는 방식이다. 이러한 한계를 극복하고자, 인공지능(AI) 기술을 활용하여 사용자 맞춤형 음악을 생성하고 콘 텐츠를 제공하는 어플리케이션을 개발하였다. AI 모델을 통해 사용자의 감정 상태를 분석하고, 이를 기반으로 음악적 요소를 최적화하여 개인화된 음악 콘텐츠를 생성하는 것에 목표를 두었 다. Mel-frequency cepstral coefficients(MFCC)와 템포 분석을 통해 음악 데이터의 특징을 추출하고, 이를 기반으로 사용자 감정에 부합하는 프롬프트를 생성하였다. 생성된 프롬프트는 MusicGen 모델에 입력되어, 사용자의 감정 상태와 음악적 취향을 반영한 새로운 음악을 생성 하는 데 활용하였다. 또한, ComfyUI를 활용하여 텍스트-이미지-비디오 변환 파이프라인을 구 축함으로써, 생성된 프롬프트를 기반으로 다양한 멀티미디어 콘텐츠 제작을 가능하게 하였다. 기존 음악 콘텐츠 제작 방식의 시간 및 비용 문제를 해결하고, 사용자에게 보다 정교하고 개 인화된 음악 경험을 제공하는 데 기여할 수 있을 것으로 기대된다. 향후 다양한 분야에서의 응용 가능성을 제시한다.

There is a demand for introducing a challenging and innovative R&D system to develop new technologies to generate weapon system requirements. Despite the increasing trend in annual core technology development tasks, the infrastructure expansion, including personnel in research management institutions, is relatively insufficient. This situation continuously exposes difficulties in task planning, selection, execution, and management. Therefore, there is a pressing need for strategies to initiate timely research and development and enhance budget execution efficiency through the streamlining of task agreement schedules. In this study, we propose a strategic model utilizing a flexible workforce model, considering constraints and optimizing workload distribution through resource allocation to minimize bottlenecks for efficient task agreement schedules. Comparative analysis with the existing operational environment confirms that the proposed model can handle an average of 67 more core technology development tasks within the agreement period compared to the baseline. In addition, the risk management analysis, which considered the probabilistic uncertainty of the fluctuating number of core technology research and development projects, confirmed that up to 115 core technology development can be contracted within the year under risk avoidance.

Due to rapid spread of fireblight, the Rural Development Administration is supplying bactericides to farmers. However, research on inhibitory effects of main active ingredients in these bactericides on fireblight is lacking. Chlorophyll fluorescence analysis is a non-destructive method for analyzing the photosynthetic efficiency of plants, enabling time-series data analysis of pathogen progression and allowing for large-scale studies. Therefore, this study analyzed inhibitory effects of main active ingredients in bactericides on fireblight using chlorophyll fluorescence response analysis. Flowering pear trees (three-year-old ‘Shingo’ variety) were sprayed with control agents and fire blight pathogens on flowers. Chlorophyll fluorescence responses were then measured at seven-day intervals. Twenty-eight days after bactericide treatment, the fluorescence of the O-J transition stage in the untreated group was twice as high as in the average bactericide-treated group presumably due to inhibition of electron transport in the PSII donor side caused by pathogen infection, leading to leaf necrosis. Additionally, the electron transport efficiency (ET2o, RE1o) decreased, reducing the driving force of photosynthesis (DF total ABS) to 20% of the average bactericidetreated group, indicating chlorophyll damage and reduced photosynthetic capacity. In conclusion, chlorophyll fluorescence technology can be used to quantitatively evaluate the efficacy of fire blight control agents during the flowering period of pear trees.

This is a case study of tandem learning using a metaverse platform in a Vietnamese-Korean language course. It aimed to explore more efficient foreign language teaching methods beyond traditional approaches. To achieve this, the study provides an in-depth look at the course structure that incorporated tandem learning, the interactions between learners on the metaverse platform, and survey results reflecting their learning experiences and perceptions of this particular approach. This study is significant in that it provided a new learning environment using the metaverse, enabling more active participation from learners. It also integrated the tandem learning method, which allows learners to actively participate in the mutual language acquisition process as both target language learners and as instructors or experts of the partner’s target language. Furthermore, the study is meaningful for its specific attempt to design tandem learning classes using the metaverse, particularly for Vietnamese-Korean classes.

Wearable technology is expected to maintain continuous marketability and prospects, with its scope gradually expanding beyond the fashion sector to encompass fashion accessories. Meanwhile, the wedding industry is currently reflecting consumer preferences that emphasize individuality and emotional connection. As wedding trends evolve, there is a growing interest in unique and differentiated wedding styles. Therefore, the purpose of this study is to create high-value designs by integrating wearable LED technology into wedding accessories and dresses to meet the emotional needs of modern consumers. To achieve this, we analyzed the LED wedding accessories currently available in the market. Based on the findings, we designed and developed new such accessories and dresses through planning, development, and production processes. First, the study found out that LED wedding accessories are gaining attention as high-value products. Second, a survey of the domestic market for LED wedding accessories highlighted the needs for wedding dress designs that can be paired with LED hairpins. Third, we used Lilypad Arduino’s Lily Tiny to design and develop LED wedding hairpins and dresses through a production process. Finally, by styling LED wedding hairpins and dresses together, we demonstrated the potential in creating products that blend emotion and technology, in line with the current wearable technology trends. Overall, this study offers a fresh perspective on design development in wedding accessories.

PURPOSES : Construction standards have resolved overlaps and conflicts between different standards and fields through the introduction of a code system. However, the sub-technical standards were established based on the construction standards at the time of their creation and have not been revised. This has resulted in poor integration and conflicts with revised construction standards, reducing their practical applicability in the construction field. Consequently, to enhance the practical applicability of sub-technical standards and ensure their integration with construction standards, this study aimed to devise technical guidelines for sub-technical standards. METHODS : A brainstorming session was conducted with field experts to evaluate the applicability and necessity of the currently distributed sub-technical standards in the field. Each sub-technical standard was reviewed to determine whether it should be retained or abolished. On the basis of the review results, this study developed a set of draft technical guidelines (Korean Design Standard Guideline (KDSG)/Korean Construction Specification Guideline (KCSG)) for the sub-technical standards that required retention. RESULTS : A comprehensive survey of sub-technical standards identified a total of 154 standards. Of these, 109 were deemed necessary to retain, whereas 45 were considered unnecessary to retain. Among the sub-technical standards requiring retention, 20 were selected for the development of technical guidelines based on their relevance and applicability to the construction standards. A draft of these technical guidelines was subsequently prepared. CONCLUSIONS : A plan was devised to assign technical guideline codes to 20 subordinate technical standards that were deemed consistent with the road construction standards (KDS/KCS 44 00 00). This approach can provide a foundation for reorganizing the system of road construction standards and subordinate technical standards, thereby enhancing their practical usability in the construction field.

PURPOSES : This study aimed to perform real-time on-site construction volume management by using Internet of things (IoT) technology consisting of 3D scanning, image acquisition, wireless communication systems, and mobile apps for new and maintenance construction of concrete bridge deck overlays. METHODS : LiDAR was used to scan the overlay before and after construction to check the overlay volume. An enhanced inductively coupled plasma (ICP) method was applied to merge the LiDAR data scanned from multiple locations to reduce noise, and an anisotropic filter was applied for efficient three-dimensional shape modeling of the merged LiDAR data. The construction volume counter of the mobile mixer was directly photographed using an IP camera, and the data were transmitted to a central server via the LTE network. The video images were transmitted to the central server and optical character recognition (OCR) was used to recognize the counter number and store it. The system was built such that the stored information could be checked in real time in the field or at the office. RESULTS : As a result of using LiDAR to check the amount of overlay construction, the error from the planned amount was 0.6%. By photographing the counter of the mobile mixer using an IP camera and identifying the number on the counter using OCR to check the quantity, the results showed that there was a 2% difference from the planned quantity. CONCLUSIONS : Although the method for checking the amount of construction on site using LiDAR remains limited, it has the advantage of storing and managing the geometric information of the site more accurately. Through the IoT-based on-site production management system, we were able to identify the amount of concrete used in real time with relative accuracy.

본 논문은 예술 분야 기술융합 스타트업의 성공 요인을 ERIS 모델의 관점으로 분석하여 향후 관련 스타트업에 실무적 시사점을 제시하는 데 목적이 있다. 연구 사례로는 국내 AI 음악 교육 분야의 선도 기업으로 시리즈 A 투자 유치에 성공한 예술 분야의 대표적 기술융합 스타트업인 ㈜주스를 선정하였다. 연구 방법은 문헌 조사 및 인터뷰를 사용하였으며, 연구 결과는 다음과 같다. ‘창업가’ 요인으로 창업자는 음악과 경영 전공 을 살려 기술 융합 예술 스타트업으로서의 독창적인 사업 모델을 개발하 였다. ‘자원’ 요인으로는 실리콘밸리와의 네트워크를 통해 초기 자본을 확보하였으며, 이후 한국벤처투자조합 등 다양한 투자자로부터 추가 투 자를 유치하였다. ‘산업 환경’ 요인으로는 인공지능의 글로벌 확산과 더 불어 정부의 AI 관련 투자 및 교육 지원 정책으로 시장에서 성장할 수 있는 환경이 조성되었다. ‘경영 전략’ 요인으로는 AI를 활용한 가격 설정 시스템 도입, 예술학교에 대한 내로우 타겟팅 등을 통해 특정 수요층을 효과적으로 공략하였다는 점 등이 분석되었다.

본 연구는 뷰티 분야에서 디지털 기술 적용 및 혁신수용으로 나타나는 변화에 대한 인식개선 및 해결방안으로 뷰티관련 전공 학습자들의 신기술 수용의도를 분석하여 뷰티산업을 이끌어 갈 예비 뷰티 서비스 전문가들에게 필요한 전문적인 디지털 관련 기술 교과목을 개설하여 교육하고, 신기술을 적용할 수 있는 능력을 배양하여 디지털 기술에 대한 인식도가 높은 뷰티 전문가 배출의 가능성을 알아보고자 하였 다. 뷰티전공 학습자의 디지털 신기술 수용의도를 분석한 결과 신기술에 대한 주관적 규범, 자기효능감은 매 개변수인 용이성에 유의미한 영향을 미치는 것으로 나타났으며, 혁신의지와 자기효능감은 매개변수인 유 용성에 유의미한 영향을 미치는 것으로 나타났다. 그러나 혁신의지는 용이성에 유의미한 영향을 미치지 않는 것으로 나타났다. 또한 용이성과 유용성은 수용태도에 유의미한 영향을 미치는 것으로 나타났으며, 수용태도는 신기술 수용의도에 유의미한 영향을 미치는 것으로 나타났다. 이러한 결과를 종합하여 볼 때 뷰티전공 학습자들의 디지털 기술 관련 기초지식 수준을 분석하고, 디지털 신기술과 관련한 기초지식을 습득할 수 있도록 비교적 낮은 수준의 관련 교과목 개발 및 프로그램을 활용하여 뷰티전공 학숩자들이 디지털 신기술을 쉽게 인식할 수 있는 변화의 계기가 마련될 필요가 있다.

본 연구는 한국의 다양한 형태의 미디어 콘텐츠를 가리키는 용어인 K-콘텐츠 제작에 있어 생 성형 AI 활용에 관한 연구이며, 특히, 제작 전, 제작, 제작 후 등 영상 콘텐츠 제작의 모든 단 계에서 AI 기술의 혁신적인 영향을 강조한다. 대본 작성, 트렌드 분석, 캐스팅, 장면 편집, 시 각 효과 등의 작업에 AI 기반 도구를 활용함으로써 제작자는 창의성을 강화하고 효율성을 높 이며 제작 품질을 높일 수 있다. 주요 조사 결과에 따르면 생성형 AI는 반복 작업을 자동화하 고 참신하고 창의적인 아이디어를 생성하며 품질의 일관성을 보장함으로써 생산 프로세스를 크게 간소화할 수 있다. 예를 들어, AI 도구는 스크립트 작성 및 스토리보드 작성을 지원할 수 있으며, 얼굴 인식 알고리즘 및 지리공간 데이터 분석은 배우 캐스팅 및 촬영 장소를 추천하는 것이 가능하다. 포스트 프로덕션 과정에서는 AI 기반 비디오 편집 및 시각 효과 도구를 활용하 여 콘텐츠의 내러티브 응집력과 시각적 매력을 향상시키는 동시에 생성 오디오 도구는 맞춤형 음향 효과를 창조시킬 수 있다. 생성형 AI의 K-Contents 활용은 기획-제작-유통 등 전체 제작 과정에 도입이 예상되며 생산 비용 절감, 글로벌 시장 확대 등의 경제적인 측면에서도 상당한 영향을 미칠 수 있다. 본 논문은 K-콘텐츠 제작에서 생성적 AI의 잠재력을 모색하고 향후, K- 콘텐츠 산업이 글로벌 시장에서 더욱 성장하고 번영할 수 있는 시사점을 탐구한다는 점에서 의의를 찾을 수 있다.