This study reports an analytical investigation on the development of SB4-grade separated concrete median barriers. The proposed barrier sections comprise three designs, with heights of 810, 1000, and 1270 mm and upper widths of 90, 120, and 120 mm, respectively. Before conducting collision analyses on the proposed sections, the considered collision analysis model was validated using real collision test results; the model was found to accurately predict the real collision test results. The proposed cross-sections were modeled to perform collision analysis according to SB4-grade collision conditions. Results indicated that increasing the cross-section height increased the damaged area and decreased the strength, while the occupant protection performance remained mostly unaffected. Furthermore, the proposed cross-sections met the strength and occupant protection performance criteria specified in domestic guidelines, suggesting their suitability as a separated concrete median barrier for bridges.

행복은 개인들이 추구하는 삶의 가장 중요한 목적이라고 할 수 있다. 본 연구에서는 행복 증진을 위해서 개인들이 스스로 자신의 웰니스를 점검하고 관리하는 것이 필요하다고 보고, 셀프 라이프코칭 앱의 웰니스 증진 효과에 대한 예비 연구를 진행하였다. 이를 위해, 총 36명의 참여자를 실험집단(1·2)과 통제집단에 무선배정하고, 실험집단에는 연구용 앱을 활용해 4주간 셀프 라이프코칭을 수행하도록 하였다. 실험처치 중 주간 피드백을 실험집단1에는 제공하 고, 실험집단2에는 제공하지 않았다. 종속변인으로 노동자를 위한 웰니스 지수(WIW)와 한국형 웰니스 척도(KWS) 를 사용하였다. 실험결과, 사전, 사후, 추후의 시점과 집단 간의 상호작용 효과는 통계적으로 유의미하지 않았으나, 효과의 경향성을 확인하였다. 주간 피드백 유무에 따른 실험처치 효과 차이는 확인되지 않았다. 시간에 따른 웰니스 증진 효과가 통계적으로 유의미했으며, 실험처치가 웰니스에 미치는 효과가 선형적임을 확인하였다. 참여의견 조사 결과, 참여자의 84.2%가 이번 활동이 도움이 된다고 하였으며, 78.9%가 상용화된 앱이 있다면 1주 또는 2주에 한번 사용하겠다고 응답하였다. 본 연구는 누구나 스스로 자신의 웰니스 증진에 활용할 수 있는 방법론을 제시하였으며, 그 효과를 일정 부분 확인하였다는 점에서 의의가 있다.

This study aims to merge Picasso’s expressive elements and deconstructive fashion’s formative traits, proposing an upcycle fashion design that fuses artistic and philosophical aspects. The analysis of Picasso’s Cubism identified qualities like liberating revolution, fluidity of vision, geometric reducibility, complex symbolism, and creative imitation. The analysis of Derrida’s deconstructionism revealed expressive traits: uncertainty, intertextuality, différance, and dis-de phenomenon. An upscale fashion design was developed based on six Picasso works featuring women. The design was created using the fashion design software CLO 3D and integrated clothing waste and scrap fabrics as materials.The results are as follows. First, upcycle fashion was viewed from a new perspective based on Picasso and Derrida’s values. This perspective suggested creating better ethical values by upholding environmental protection in novel ways that overcome limitations rather than destroy existing values indiscriminately. Second, upcycle fashion design methodologies were derived from various perspectives utilizing formative features of Picasso’s works and specific expressive features of deconstructed fashion. Third, the direction of mitigating waste and pollution from clothing production and transportation was revealed by making clothes in a virtual space using the CLO 3D program. This study contributed to obtaining various methods for developing upcycle fashion designs using own methods of Picasso and Derrida to diversify the approaches of upcycling, which is relatively stagnant in disassembling.

In this paper, we present a case study of developing MVIS (Machine Vision Inspection System) designed for exterior quality inspection of stamping dies used in the production of automotive exterior components in a small to medium-sized factory. While the primary processes within the factory, including machining, transportation, and loading, have been automated using PLCs, CNC machines, and robots, the final quality inspection process still relies on manual labor. We implement the MVIS with general- purpose industrial cameras and Python-based open-source libraries and frameworks for rapid and low-cost development. The MVIS can play a major role on improving throughput and lead time of stamping dies. Furthermore, the processed inspection images can be leveraged for future process monitoring and improvement by applying deep learning techniques.

This study endeavors to enrich investment prospects in cryptocurrency by establishing a rationale for investment decisions. The primary objective involves evaluating the predictability of four prominent cryptocurrencies – Bitcoin, Ethereum, Litecoin, and EOS – and scrutinizing the efficacy of trading strategies developed based on the prediction model. To identify the most effective prediction model for each cryptocurrency annually, we employed three methodologies – AutoRegressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM), and Prophet – representing traditional statistics and artificial intelligence. These methods were applied across diverse periods and time intervals. The result suggested that Prophet trained on the previous 28 days' price history at 15-minute intervals generally yielded the highest performance. The results were validated through a random selection of 100 days (20 target dates per year) spanning from January 1st, 2018, to December 31st, 2022. The trading strategies were formulated based on the optimal-performing prediction model, grounded in the simple principle of assigning greater weight to more predictable assets. When the forecasting model indicates an upward trend, it is recommended to acquire the cryptocurrency with the investment amount determined by its performance. Experimental results consistently demonstrated that the proposed trading strategy yields higher returns compared to an equal portfolio employing a buy-and-hold strategy. The cryptocurrency trading model introduced in this paper carries two significant implications. Firstly, it facilitates the evolution of cryptocurrencies from speculative assets to investment instruments. Secondly, it plays a crucial role in advancing deep learning- based investment strategies by providing sound evidence for portfolio allocation. This addresses the black box issue, a notable weakness in deep learning, offering increased transparency to the model.

Approximately 40,000 elevators are installed every year in Korea, and they are used as a convenient means of transportation in daily life. However, the continuous increase in elevators has a social problem of increased safety accidents behind the functional aspect of convenience. There is an emerging need to induce preemptive and active elevator safety management by elevator management entities by strengthening the management of poorly managed elevators. Therefore, this study examines domestic research cases related to the evaluation items of the elevator safety quality rating system conducted in previous studies, and develops a statistical model that can examine the effect of elevator maintenance quality as a result of the safety management of the elevator management entity. We review two types: odds ratio analysis and logistic regression analysis models.

가상의 공간에서 함께 즐기는 콘텐츠에 대해 관심이 늘어나고 있다. 더불어 가상공간에서 나만의 아바타도 꾸미고 게임 콘텐츠 역시 즐기고 있다. 이러한 가상의 공간을 메타버스라고 하며 대표적인 플랫폼으로는 제 페토와 로블록스가 있다. 메타버스 플랫폼은 플랫폼의 취지에 맞게 유저가 직접 제작하기 편리한 컨텐츠 제 작 도구를 지원한다. 그러나 일반 유저가 제작한 콘텐츠는 메타버스에서 활동하고 있는 다양한 유저의 관심 과 흥미를 지속적으로 유발하기에는 부족한 부분이 있어 꾸준한 흥행이 어렵다. 본 논문은 기존 게임 엔진을 활용해서 콘텐츠를 제작하는 콘텐츠 개발자로서 메타버스 플랫폼이 제공하는 제작 도구의 효용성을 검증하 고자 게임 엔진의 선택 기준을 참고하여 인터페이스, 개발 언어, 개발 공정의 기준으로 대표하는 플랫폼의 제작 도구를 비교하였다.

본 연구는 환경교육용 보드게임 개발에 관한 연구다. 이를 위해 문헌 고찰과 전문가 인터뷰를 실시하여 핵심 메커니즘과 용어를 도출하였다. 또한, 타당도와 신뢰도 검증을 위하여 델파이 조사를 진행하였다. 연구 결과 9개 항목에 대하여 합의가 이뤄졌으며, 이를 기반으로 ‘수풀로 메이커’ 프로토타입을 제작하고 플레이테스트 를 진행하였다. 그 결과, 환경에 대한 관심, 생태복원의 개념, 탄소 중립에 대한 이해를 보여, 연구의 초기 목 적을 달성한 것으로 나타났다. 본 연구로 인해 개발된‘수풀로 메이커’는 아동과 청소년의 환경교육 교재의 역할 뿐만 아니라, 환경에 대한 깊이 있는 이해를 견인하고, 더 나아가 실천양식 변화의 잠재성을 키우는 역 할에 기여할 수 있을 것으로 기대한다.

In this study, project information of government-funded research institute in the food field was collected and analyzed to systematically identify the factors affecting the process of transferring technological achievements of public research institute to the private sector. This study hypothesized that human resources, financial resources, and technological characteristics as input factors of R&D projects affect output factors, such as research papers or patents produced by R&D projects. Moreover, these outputs would serve as drivers of the technology transfer as one of the R&D outcomes. Linear Regression Analysis and Poisson Regression Analysis were conducted to empirically and sequentially investigate the relationship between input factors and output and outcome of R&D projects and the results are as follows: First, the principle investigator's career and participating researcher's size as human resource factors have an influence on both the number of SCI (science citation index) papers and patent registration. Second, the research duration and research expenses for the current year have an influence on the number of SCI papers and patent registrations, which are the main outputs of R&D projects. Third, the technology life cycle affects the number of SCI papers and patent registrations. Lastly, the higher the number of SCI papers and patent registrations, the more it affected the number of technology transfers and the amount of technology transfer contract.

The consumption of enoki mushrooms has been associated with cases of listeriosis produced by Listeria monocytogenes, highlighting the significance of sanitizing food-contact surface, such as the velcro used in welding processing of enoki mushrooms, to ensure microbial safety. We investigated the inhibitory activity of nine chemical disinfectants at regular concentrations against L. monocytogenes isolated from a mushroom farm environment. The bacterial suspension was prepared in phosphate buffered saline and mushroom extract broth and inoculated onto the velcro surface. After inoculation, most disinfectants reduced the initial 8 log CFU/coupon concentration by less than 2 log CFU/coupon during a 5-min treatment. Slightly acidic hypochlorous water showed a reduction of approximately 4 log CFU/coupon when tested for more than 30 min at the maximum allowable concentration of 200 mg/L. Sodium hypochlorite solution showed a reduction of approximately 5 log CFU/coupon when used at 100 mg/L for 60 min. Peracetic acid, at the maximum allowable concentration of 300 mg/L, showed the most effective reduction of 5 log CFU/coupon or more when the surface was treated with 37.5 mg/L for 30 min. These results indicate that peracetic acid can be used as the disinfectant strategy to control cross-contamination of L. monocytogenes on the velcro surface of plastic wrappers used in the welding processing of enoki mushrooms.

In this study, we developed Rapid Enrichment Broth for Vibrio parahaemolyticus (REB-V), a broth capable enriching V. parahaemolyticus from 100 CFU/mL to 106 CFU/mL within 6 hours, which greatly facilitates the rapid detection of V. parahaemolyticus. Using a modified Gompertz model and response surface methodology, we optimized supplement sources to rapidly enrich V. parahaemolyticus. The addition of 0.003 g/10 mL of D-(+)- mannose, 0.002 g/10 mL of L-valine, and 0.002 g/10 mL of magnesium sulfate to 2% (w/v) NaCl BPW was the most effective combination of V. parahaemolyticus enrichment. Optimal V. parahaemolyticus culture conditions using REB-V were at pH 7.84 and 37oC. To confirm REB-V culture efficiency compared to 2% (w/v) NaCl BPW, we assessed the amount of enrichment achieved in 7 hours in each medium and extracted DNA samples from each culture every hour. Real-time PCR was performed using the extracted DNA to verify the applicability of this REB-V culture method to molecular diagnosis. V. parahaemolyticus was enriched to 5.452±0.151 Log CFU/mL in 2% (w/v) NaCl BPW in 7 hours, while in REB-V, it reached 7.831±0.323 Log CFU/mL. This confirmed that REB-V enriched V. parahaemolyticus to more than 106 CFU/mL within 6 hours. The enrichment rate of REB-V was faster than that of 2% (w/v) NaCl BPW, and the amount of enrichment within the same time was greater than that of 2% (w/v) NaCl BPW, indicating that REB-V exhibits excellent enrichment efficiency.

우리나라 중소기업은 국내 경제에서 큰 비중을 차지하고 있으며, 특히 성장과 고용 측면에서 중요한 역할을 담당하고 있다. 그러나 중소기업은 기업의 성장을 위해 고숙련 인력을 확충하여 생산성을 높여가 야 함에도 불구하고, 인력 유치가 지속적으로 어려운 상황이다. 중소기업이 기업의 생산성을 제고하고 경 쟁우위를 확보하기 위해서는 인적자본의 고도화가 중요하다. 특히 빠르게 변화하는 기술 환경에 대응해 현장 적응력을 높이기 위해서는 조직구성원의 인적자원개발이 뒷받침되어야 한다. 본 연구는 그동안 선 행연구에서 다루지 않았던 혁신의 요인들, 즉 기업의 혁신활동과 연구개발투자, 조직 환경을 중심으로 중소기업의 인적자원개발에 어떠한 영향을 미치는지 확인하고자 하였다. 특히 대기업과의 비교를 통해 상 대적으로 인력 확보 측면에서 열위에 있는 중소기업 인적자원개발의 위치를 파악하고자 하였다. 「사업 체패널조사」의 6~8차 자료를 활용하여 패널 로짓 모형을 통해 분석한 결과는 다음과 같다. 첫째, 혁신활 동은 혁신활동의 요소에 따라 차별적인 영향을 미치는 것으로 나타났으나, 중소기업과 대기업 모두 전반 적으로 영향력이 낮은 것으로 나타났다. 둘째, 연구개발투자는 중소기업의 인적자원개발을 촉진하는 요인 으로 나타났다. 마지막으로 조직환경 요인은 중소기업의 인적자원개발에 긍정적인 영향을 미치는 것으로 나타났으며, 대기업보다 중소기업에게 더 중요한 요인으로 나타났다. 이러한 결과는 고숙련 인력 확보를 위해서는 연구개발투자와 조직 환경이 중소기업의 인적자원개발에 무엇보다 중요한 요소임을 나타내며, 이를 고려하여 중소기업이 효과적이고 전략적으로 인적자원개발 제도를 마련해야 함을 시사한다.