This study was conducted to analyze long-term trends in moisture content and regional distribution characteristics of winter forages produced in Korea. A total of 14,204 samples collected from forage production farms and TMR facilities across 128 Si/Gun units nationwide from 2015 to 2024 were analyzed for moisture content, and annual, regional, and species-specific trends were examined accordingly. The overall mean moisture content was 34.82 ± 16.68%, with a declining trend from 46.70% in 2015 to 30.71% in 2024. Among the forage species, Italian ryegrass showed the lowest mean moisture content (29.44 ± 13.31%), decreasing consistently from 41.16% in 2015 to 23.91% in 2024, contributing substantially to the overall declining trend. Regional variation in moisture content was associated with differences in forage storage type composition, with Gangwon province showing higher moisture content corresponding to a greater proportion of silage, while Jeonbuk province showed lower moisture content with a higher proportion of hay. No statistically significant correlations were found between moisture content and environmental factors including precipitation and drainage installation rate (p>0.05), suggesting that final moisture content is likely influenced by multiple factors beyond regional precipitation, highlighting the need for further studies including direct variables like post-harvest management. The proportion of hay increased from 7.8% in 2015 to 32.3% in 2024, while silage decreased from 43.9% to 15.0%, a trend that coincides with the implementation of the national forage quality grading system initiated in 2015, suggesting a possible association. These results provide baseline data for developing region-specific forage production and quality management strategies in Korea.

We developed a device that can screen for shape and surface defects that may occur during the manufacturing process, and can be used for quality inspection during the production process. A non-contact vision system was used for shape quality inspection to check sphericity and concentricity. Shape size was measured to determine whether the defects were within acceptable limits. Even for products that passed shape quality inspection, surface defects could prevent valve sealing. Therefore, the sealing performance of the armature was verified by examining the pressure changes in the air supply section using high-pressure air pressure applied to each assembled valve. To assess the reliability of the inspection device for tip-type armature defects, various defective products were artificially mixed and tested in random order. The results showed that the 100% detection rate for armature defects confirmed its suitability for tip-type armature quality inspection.

본 연구는 교육부에서 주관하고(법무부와 연계) 한국연구재단이 운영하는 교육국제화역량 인증제(IEQAS) 4주기 평가지표를 대상으로, 지표 체계가 고등교육기관의 외국인 유학생 유치·관리 역량을 타당하게 검증하는지 진단하고 개선 방향을 제시한다. 분석틀은 국제화(Knight), 품질 개념(Harvey & Green), 정책평가·형평성(Dunn), 구조–과정–성과(Donabedian)의 논 의를 토대로 품질보증(QA), 형평성(수평/수직), 성과사슬(구조–과정–성과), 행정부담·표준화의 네 관점으로 구성하였다. 연구 방법은 질적 문서분석 으로, 2011년 시범도입 이후 주기별 편람과 2025년 4주기 IEQAS 편람, 정책문서·선행연구, 2023년부터 2025년까지 언론 보도를 검토하였다. 분 석 결과, 4주기 IEQAS 평가는 산식 합리화와 고등직업교육 트랙 신설 등 개선이 있었으나 지역·유형 격차 반영의 한계, 성과 지표 편중, 지표 별 기준 시점·집계기간 불일치, 어학연수 교원·고용구조 평가 공백이 확 인되었다. 이에 수도권/비수도권 분리 평가, 단계형 사후관리, 온라인·혼 합수업의 과정 품질지표 보강, 기준시점·집계기간·산식 표준화, 어학연수 교원·고용지표 도입을 제안한다. 이를 통해 IEQAS가 국제화·유학생 정책 의 핵심 품질보증 인프라로 기능하도록 개선 방향을 제시하고자 한다.

This study quantitatively evaluated the real-world performance of an IoTbased, context-aware mobile air purification system. Additionally, this system is proposed as a practical alternative to conventional stationary purifiers, overcoming their spatial limitations. To analyze concentration variations, removal efficiency, and air cleaning ratio (ACR) for PM2.5, PM10, and HCHO, three scenarios were tested: S1 (natural ventilation), S2 (stationary purifier), and S3 (IoT-based mobile air purification system). The mobile system (S3) achieved a 1.6-fold higher removal efficiency for PM2.5 compared with the stationary purifier (S2) and reduced the ACR to below 0.4 within 30 minutes after high-concentration events. In contrast, stationary purifiers required approximately 333 minutes to reach background levels (17.11 μg/m3), revealing about a 10-fold difference in cleaning speed. Monte Carlo simulations confirmed the consistent superiority of S3 for both particulate and gaseous pollutants, with HCHO concentrations 36.7% lower (90th percentile) than under S2. According to the health risk assessment, the asthma hospitalization rate decreased by over 40%, the HQ for PM2.5 decreased from 1.1 (S1) to 0.64 (S3), and the ECR for HCHO was 0.62 times that of S2. These findings highlight that spatial responsiveness and mobility, along with filter capacity, are key determinants of air purification performance. In conclusion, the mobile air purifier effectively overcomes the structural constraints of stationary devices and establishes a new paradigm for realtime, adaptive indoor air quality management that helps safeguard occupant health.

As renewable energy penetration continues to increase, the output variability and forecasting uncertainty of photovoltaic generation have emerged as major operational risks in power systems. This study establishes a sensor-based data quality control procedure to ensure the reliability of meteorological data collected at a PV plant. For temperature, humidity, and wind speed, a four stage QC process physical range check, persistence check, step change check, and median filtering was applied. Solar radiation, which exhibits strong temporal and distributional characteristics, was processed using a three-stage QC procedure consisting of physical range, step change, and frequency distribution checks. Using the quality-controlled meteorological data, PV generation forecasting was performed with SVM and XGBoost models. As a result, the MAPE values improved to 6.32% for SVM and 6.08% for XGBoost after QC application. The findings confirm that meteorological data quality control significantly enhances PV forecasting accuracy and can support future strategies for distributed energy resource management, curtailment mitigation, and power system risk reduction.

본 연구는 식물공장형 육묘시스템에서 고품질 수박(Citrullus lanatus) 접목묘 생산을 위한 최적 대기온도 를 규명하기 위해 수행되었다. 대목은 ‘동장군’(DongjangGun), 접수는 ‘산타꿀’(SantaKkul)을 이용하여 접목묘를 생산하였으며, 야간온도 18°C를 일정하게 유지한 상태에서 주간 대기온도를 23°C, 28°C, 33°C로 처리하여 21일 간 재배하였다. 접목 후 7, 14, 21일에 초장, 근장, 엽수, 엽면적, 경경, 생체중 및 건물중과 같은 생육 지표뿐만 아니 라, T/R율, 충실도(compactness), 생장속도(CGR)와 같은 묘 품질 지표를 평가하였다. 그 결과, 묘의 생육 반응은 온 도에 의해 크게 영향을 받았다. 고온 조건에서는 초장이 유의적으로 증가하였으며, 33°C 처리구에서 가장 길게 나 타났으나 과도한 신장과 경경 감소가 동반되어 묘 품질이 저하되었다. 반면 28°C 처리구에서는 엽면적과 경경이 가장 크고, 지상부와 지하부 간의 생체중 배분도 균형적으로 나타났다. 또한 묘 품질 지표에서도 접목 후 21일에 28 °C 처리구에서 T/R율, 충실도, 생장속도가 가장 우수하였다. 종합하면, 28°C와 33°C 모두 생육을 촉진하였으나, 28°C 처리구에서만 묘의 형태적 안정성과 생체중의 균형적 분배가 확보되었다. 따라서 식물공장형 육묘시스템에 서 수박 접목묘 생산의 최적 주간 대기온도는 28°C로 판단되며, 이는 연중 안정적인 묘 생산과 환경제어 전략 수립 을 위한 기초 자료로 활용될 수 있을 것이다.

Purpose: This study applied a mixed-methods design to examine the effects of the nurse shift system improvement pilot project, organized by the Ministry of Health and Welfare, on ward nurses’ quality of life, job satisfaction, and patient safety nursing activities, as well as to explore their overall evaluation of the project through in-depth interviews. Methods: Using a mixed-methods approach, this study simultaneously conducted quantitative analyses of ward nurses’ quality of life, job satisfaction, and patient safety nursing activities, along with qualitative research through in-depth interviews to explore overall perceptions of the nurse shift system improvement pilot project. Results: Patient safety nursing activities showed a significant positive correlations with quality of life (r=.24, p=.017) and job satisfaction (r=.21, p=.038). There was also a significant positive correlation between quality of life and job satisfaction (r=.63, p<.001). As a result of the qualitative analysis, eight facilitating factors and five hindering factors related to the pilot project were identified. Conclusion: Through the research, the effectiveness of the pilot project and the factors influencing nurses were identified. Accordingly, strategies are needed to enhance patient safety nursing activities by improving nurses’ quality of life and job satisfaction in pilot project wards.

본 연구는 식물공장형 육묘시스템에서 광도 조절에 따른 수 박 접목묘의 생육 및 품질을 평가하기 위해 수행되었다. 수박 접수는 고온기 품종 ‘부라보꿀(BK)’, 저온기 품종 ‘산타꿀 (SK)’을 사용하였고, 대목으로 고온기 품종 ‘불로장생(BS)’, 저온기 품종 ‘동장군(DG)’을 사용하였다. 광도는 125 ± 25, 225 ± 25 및 325 ± 25μmol·m-2·s-1 3처리로 조정하여 실험을 진행하였다. 초장은 고온기 접목묘가 125 ± 25μmol·m-2·s-1, 저온기 접목묘가 225 ± 25μmol·m-2·s-1에서 가장 높았고, 줄 기 직경과 마디수는 고온기 접목묘, 저온기 접목묘 모두 225 ± 25μmol·m-2·s-1에서 가장 높았다. 근장과 엽면적은 고온기 접 목묘에서 325 ± 25μmol·m-2·s-1, 저온기 접목묘는 225 ± 25 μmol·m-2·s-1에서 가장 높았다. 또한 지상부 및 지하부 생체중 과 건물중은 225 ± 25μmol·m-2·s-1 처리에서 가장 높게 나타 났다. 충실도는 두 품종 모두 광도가 증가함에 따라 높아졌으 며, 특히 고온기 접목묘에서 그 효과가 두드러졌다. 엽면적비 (LAR)는 고온기 접목묘에서 광도 증가와 함께 유의하게 증가 하였으나, 저온기 접목묘에서 유의한 차이가 없었다. 종합적 으로 생육 특성은 225 ± 25μmol·m-2·s-1에서 높았으나, 묘소 질을 고려했을 때 325 ± 25μmol·m-2·s-1에서 더욱 강건한 묘 가 형성된 것으로 판단된다.

In this study, the quality of hydroponically grown leafy vegetables (batavia and butterhead) from smart farms was compared with that of soil-grown vegetables. The quality characteristics (weight, size, color, water content, pH, texture, bitter compounds, functional ingredients, antioxidant capacity, microorganisms, and sensory properties) of the two leafy vegetables were analyzed. Significant differences were observed in fresh weight, shear force, and functional ingredients between the two cultivation methods. With regard to weight measurement, hydroponically grown leafy vegetables were lighter compared to soil-grown vegetables (batavia: hydroponic 127.15–138.26 g, soil-grown 219.30 g; butterhead: hydroponic 107.48–127.66 g, soil-grown 237.23 g; p<0.05). In addition, hydroponically grown vegetables had significantly lower shear force values (batavia: 32–82%, butterhead: 49–70%) than soil-grown vegetables, except for one hydroponically grown batavia sample (p<0.05). Analysis of functional ingredients showed that both total polyphenol and total flavonoid contents were significantly higher in the soil-grown vegetables (p<0.05). However, no differences related to the growth system were observed in plant size, color, pH, bitter taste compounds, antioxidant capacity, and the presence of microorganisms between the two cultivation methods. This study provides a database of quality differences between hydroponically grown and soil-grown leafy vegetables, which is valuable for improving the quality of hydroponically grown products.

외국인 유학생이 꾸준히 증가함에 따라 정부는 ‘외국인 유학생 유치‧관 리 역량 인증제’를 시행하였다. 인증제는 외국인 유학생 유치 및 관리에 양적인 성장뿐만 아니라 질적인 성장에 목적을 두고 2012년 본격적으로 도입하였으며 현재는 ‘교육국제화역량 인증제’로 확대하여 실시되고 있 다. 이를 통해 교육의 질과 학생의 수준을 끌어올리고 있지만 인증제가 현실을 반영하지 못하는 부분이 있다. 이에 본고에서는 외국의 사례를 조사한 후 한국의 교육국제화역량 인증제가 어떻게 수정·보완되어 왔는 지 그동안의 변화 과정을 살펴보고 3주기 보완 체계가 진행 중인 현재의 평가 항목과 기준 내용의 보완점을 제언하였다. 제언의 내용은 크게 세 가지로 나누어 볼 수 있다. 먼저 불법체류율 산정 방식이다. 기존의 산정 방식은 모수와 분자의 조건을 동일하게 보았기 때문에 이를 악용하는 경 우도 있었다. 따라서 불법체류율 산정 방식을 수정해야 한다. 둘째, 학위 과정의 경우 공인 한국어능력 자격을 취득하지 않은 유학생 대상 한국어 강의에 대한 명확한 규정이 필요하며 구체적인 졸업 요건이 명시되어야 한다. 셋째, 어학연수과정의 학생수, 교원 자격증 수 등을 현장 상황을 파악하여 평가 기준을 높여야 한다.

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.

In this study, we have developed a movable defect detection system based on a vision module with machine-learning algorithm for distinguishing product quality. Machine-learning model determined the results in good or no good through images acquired from the vision module consisting of a camera, processor unit, and lighting. To ensure versatility for use in a variety of settings, we have integrated a robot arm and cart for the movable defect detection system, and the robot arm that adjusts the focus length is made to be able to rotate in all directions. The type of defect was divided into eccentricity defect and printing defect. As a result, it was confirmed that classification accuracy showed 0.9901 in our developed device.

The spectrum of this study was research on the closed hydroponic cultivation of netted melons (Cucumis melo L.) using coir substrate, analyzing the impact of this cultivation method on melon yield, fruit quality, and the efficiency of water and nutrient usage. The experimental results showed that the average fruit weight of the melons grown in a closed system was 71.4 g higher than that of the open system, and the fruit width was on average 0.2 cm larger, showing a statistically significant difference. However, there was no difference in the average sugar content of the fruit flesh and height. Although there is no substantial commercial difference, it is conjectured that the change in the macronutrients ratio in the irrigation has played a role in the statistically significant increase in fruit weight, which is attributed to changes in the crops' nutrient uptake concentrations. This necessitates further research for a more comprehensive understanding. In terms of the productivity of irrigation required to produce the fruit, applying the closed system resulted in an increase of 7.6 kg/ton compared to the open system, saving 31.6% of water resources. Additionally, in terms of nutrients, cultivating in a closed system allowed for savings of approximately 59, 25, 55, 83, 76, and 87% of N, P, K, Ca, Mg, and S, respectively, throughout the entire cultivation period. As the drainage was reused, the ratios of NO3 - and Ca2+ increased up to a maximum of 9.6 and 9.1%, respectively, while the ratios of other ions gradually decreased. In summary, these results suggest that closed hydroponic cultivation can effectively optimize the use of water and fertilizer while maintaining excellent fruit quality in melon cultivation.

본 연구는 Bacillus subtilis를 활용한 바이오플락 양식 기술(Biofloc technology, BFT)을 이용하여 대농갱이(Leiocassis ussuriensis) 양식의 가능성을 확인하기 위해 90일 동안 생존, 성장지수와 사육수 수질의 변화를 관찰하였다. 대농갱이를 입식하기 전 BFT 수 제조를 위해 실험수조에 사료와 당밀을 첨가한 후 B. subtilis를 접종하여 40일간 수질을 안정화시켰다. 실험결과, 대농 갱이의 생존율은 대조구 92.7±3.2%와 BFT 실험구 95.8±3.3%로 조사되었다. 증체율은 대조구 118.1±9.0%와 BFT 실험구 197.7±15.6%을 보였고, 일간 성장율은 대조구 0.87±0.5%, BFT 실험 구 1.21±0.06%로 나타났다. 사료효율은 대조구가 43.7±2.6%이었고, BFT 실험구는 70.1±4.1%로 측정되어 BFT 실험구의 사료효율이 더 높은 것으로 조사되었다. 실험기간 동안의 수질 변화를 측정한 결과, pH는 대조구와 BFT 실험구 모두 감소되었고, MLSS는 대조구에서 변화를 보이지 않았지만, BFT 실험구에서는 90일째부터 유의한 증가를 보였다. NH4 +-N와 NO2 --N는 대조구 에서 실험 30일째부터 유의한 증가를 보였으나, BFT 실험구에서는 변화를 보이지 않았다. 결론 적으로 B. subtilis를 활용한 BFT 시스템을 대농갱이 양성 과정에 적용한 결과, 수질은 안정화 되는 경향을 보였고, 성장도와 사료효율은 대조구에 비해 높은 것으로 조사되어 긍정적인 효 과가 있는 것으로 확인되었다.

Recently, elevator inspection and self-examination were strengthened through the revision of the Elevator Safety Management Act, but there have been no significant reduction in serious accidents and major failures. Therefore, the government intends to lay the foundation for reflecting the safety quality rating system, which adjusts the elevator inspection cycle, as a policy to induce safety management of preemptive and active management entities. This study systematically reviewed and classified the safety quality rating system for elevator inspection cycle adjustment in previous studies, collected expert opinions, and reconstructed the key items into realistic evaluation items, and evaluated and scored the relative importance of each factor through the AHP technique.

This study was performed to investigate the quality characteristics and antioxidant activity of black soybean Sunsik product with functional food ingredients and functional labeling system. We prepared black soybean Sunsik (BS) containing black beans, cereals, and vegetables. Black soybean Sunsik with nondigestible maltodextrin and calcium lactate (BSN) was prepared by adding non-digestible maltodextrin and calcium lactate to the base recipe to apply a functional labeling system. The particle size in BS was 118.00 μm, whereas BSN was 127.00 μm. The respective L, a, and b color values of BS were 73.25, 2.36, and 14.21. The respective L, a, and b values of BSN were 73.21, 2.36, and 14.31. The respective water retention capacities of BS and BSN were 241.67% and 216.33%. No significant difference was observed between BS and BSN in the three physicochemical properties described above. However, the pH of BSN was 5.45, which was significantly lower than that of BS. The total respective phenolic contents of BS and BSN were 1.75 mg GAE/g and 1.61 mg GAE/g, and total respective flavonoid contents of BS and BSN were 6.36 mg RE/g and 5.95 mg RE/g. The antioxidant capacities of BS and BSN were compared via assays of DPPH and ABTS radical scavenging activities, FRAP, and reducing power. The antioxidant activities of BS and BSN increased in a dose-dependant manner. No significant difference between BS and BSN was observed in any measure of antioxidant capacity. These results suggested that the addition of functional food ingredients (non-digestible maltodextrin and calcium lactate) did not affect the quality characteristics and antioxidant activity of black soybean Sunsik.

PURPOSES : Currently, the domestic construction industry is dominated by large-scale projects such as roads, ports, airports, and buildings. Construction on such projects is generally conducted simultaneously, but the process and quality management are led by a small number of responsible managers. In the case of road pavements, owing to rapid industrial development, economic growth, and the expansion of social overhead capital investment in the road construction industry, highways and general national roads have been constructed on a large scale. Therefore, this study aimed to improve and develop domestic concrete production and construction quality management by improving the reliability and transparency of production quality management and simplifying business processes. This was accomplished through the development of an Internet of Things (IoT)-based cement quality management system capable of automated design and build (D/B) construction and real-time monitoring. METHODS : The "IQ" system is a quality management system for enabling real-time monitoring of D/B quality at the time of concrete production and according to the designated age by utilizing quality test equipment developed with an LTE-Bluetooth function. It is possible to immediately identify and respond to quality problems through real-time monitoring, secure a reliable quality D/B because the quality test results cannot be arbitrarily manipulated, and to simplify the work process through the automatic D/B construction. In addition, improved quality control can be achieved through real-time information sharing and feedback system operations between contractors, managers, and personnel involved in construction. The quality control test items for developing the IQ system are the compression and flexural strengths, as these can be used to determine the design standard strength of pre-curing concretes (such as their slump and unit quantity) and the adequacy of the workability and durability, as well as the air volume to predict the durability, and the chloride content in the sections where reinforcement is used. CONCLUSIONS : This study identified difficulties and limitations in quality management according to the operation method in the domestic quality management systems, and in the real-time monitoring between managers and contractors. Thus, it was necessary to establish an improved systematic and reliable quality management system. The IQ system was developed to solve this problem.