We present the result from a comprehensive laboratory and on-sky characterization of the commercial spectrograph system consisting of a PIXIS 1300BX charge-coupled device (CCD) camera and an IsoPlane 320A spectrograph as part of the preparation of the forthcoming all-sky spectroscopic survey of nearby galaxies (A-SPEC). In the laboratory, we have quantified readout noise, dark current, gain, and full-well capacity via bias, dark, and photon transfer curve analysis at all acquisition modes. To do that, we have developed a gradient correction technique to address row-dependent signal gradients in the image, which are caused by the shutter-less condition of our CCD camera test setup. The technique successfully reproduces the values in the manufacturer specifications. We also have measured quantum efficiency exceeding 80% from 400–800 nm and ≳ 90% between 450–750 nm, with sub-second persistence decay, making it ideal for rapid, multi-object spectroscopy. Using a set of diffraction gratings (150, 300, and 600 grmm−1), we have evaluated the spatial separability of multiple spectra and spectral resolution. We have conducted a test observation with this spectrograph system at the Seoul National University Astronomical Observatory (SAO) 1 m telescope and successfully demonstrated its capability of multi-object spectroscopy with moderate resolution of R ≈ 600–2600. We release all Python codes for the test and recipes to facilitate further instrument evaluations.

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.

In conventional construction methods, the slab-balcony junction often experiences thermal bridging. This phenomenon arises from the discontinuity of insulation materials, leading to energy loss and condensation that can compromise the structure's usability and durability. To address this issue, thermal break insulation systems were installed between the slab and balcony to effectively prevent thermal bridging and energy loss, thereby improving the overall energy efficiency of buildings. This study aims to enhance both the structural performance and thermal efficiency of slab-balcony connections in residential buildings. To assess the impact of the thermal break insulation system, two experimental specimens were prepared: one incorporating the system and the other without it. Experimental results confirmed that the inclusion of reinforcing bars significantly improved the connection's structural load-bearing capacity. Furthermore, thermal analysis revealed that the thermal break insulation system outperformed conventional insulation methods by reducing the thermal damage ratio and maintaining higher surface temperatures at the connection. In addition, a structural analysis using an FEM (finite element analysis) program was conducted to evaluate the load distribution across the specimens, demonstrating that the experimental data accurately predicted the structural behavior of the connections.

In this study, vision-based monitoring combined with accelerometer-based measurements was conducted in a large-scale concert hall under crowd loads. First, the dynamic characteristics of the structure were identified from ambient vibrations measured in the absence of crowds. Then, an FE model was established that exhibits dynamic attributes similar to those of the structure. Subsequently, camera footage of crowd motion at a K-pop concert was used to estimate crowd loads, which were then applied to the FE model to assess responses. The acceleration response obtained from the analysis was compared with the measured acceleration and the acceptance criteria of design guidelines, such as AISC DG11. The acceleration predicted by the vision-based estimation was approximately 67% of the estimated value based on peak values and 62% of the measured value based on root mean square (RMS) values. Overall, the vision-based estimation showed a peak response around 10 Hz, while the measurement showed a gradual increase in the frequency range above 10 Hz. This is likely because low-frequency components were underrepresented in the vision-based estimation, resulting in relatively underestimated amplitudes and lower responses in the high-frequency range.

Background: In the South Korean private insurance sector, manual therapy faces increasing scrutiny, necessitating objective evidence for continued reimbursement. Traditional measurements often lack reproducibility or clinical practicality. Objectives: This study evaluated the feasibility of belt-stabilized hand-held dynamometry (HHD) as an objective tool for documenting strength changes and informing insurance coverage decisions. Design: A two-case clinical report. Methods: Two adult males undergoing post-operative knee rehabilitation with manual therapy were included: (1) ACL reconstruction with medial meniscus injury and (2) ORIF after knee trauma. With participants seated at the table edge and the trunk stabilized by gripping the table, knee flexion was set at 95°. Belt-stabilized HHD was used to measure isometric knee extension and flexion (three trials; maximum value recorded in N). A single examiner (>15 years’ experience) used a standardized protocol across sessions. Results: Case 1 improved from 44% (extension) and 42% (flexion) limb symmetry to 71.4% and 69.6% by session 20, supporting continued care and reimbursement after 30 sessions. Case 2 showed 60.2% extension symmetry at session 20, but subsequent reassessments lacked consistent improvement, contributing to discontinuation. Conclusion: Belt-stabilized HHD may provide a practical, low-cost method to quantify strength changes and support transparent clinician–patient–insurer communication; larger prospective studies are needed.

Lactobacillus johnsonii JERA01-supplemented feed additive (Lj-A) was produced by fermenting dried porcine blood with Lactobacillus johnsonii (Lj). Lj-A has highly digestible nutrients, bioactive peptides, and probiotic effects. To assess the immunomodulatory potential of Lj-A, it was tested on splenocytes of C57BL/6 mouse. Lj-A was treated on splenocytes in a range of concentration, 0-100 μg/ml. The metabolic activity of splenocytes was enhanced by Lj-A, as shown in MTT assay. Also, some splenocyte clusters were observed under a bright-field microscope on the wells treated with Lj-A. The splenocyte clusters indicated that the cells were activated and proliferating in response to Lj-A. These findings suggest that Lj-A stimulates splenocytes to promote immune cell activation, as evidenced by increased tumor necrosis factor-alpha and interleukin-12 production, thereby enhancing immunological defense functions. In vitro treatment of splenocytes with Lj-A increased the proportions of T cells, B cells, and CD25+ cells. In vivo, immune cell activity was evaluated in C57BL/6 mice orally administered with Lj-A at a dose of 100 mg/day. The proportion of dendritic cells in peritoneal cells was increased along with elevated CD54+ expression. Additionally, the proportions of B cells, CD25+ cells in Peyer’s patch cells increased as well. These results suggest that Lj-A may contribute to the enhancement of immune function and the maintenance of long-term health in animals.

본 연구는 연중 안정적으로 품질이 우수한 장미 삽목묘를 생 산하기 위한 에너지 효율적 실내 번식 조건을 구명하고자 수행 되었다. 스탠다드 장미 ‘Ruby Red’와 스프레이 장미 ‘Red Wing’을 대상으로 단경삽목을 실시하고, 6주간 5가지 LED 광 질(백색 W, 적색 R, 녹색 G, 청색 B, 적색+청색 혼합 RB: 7:3) 을 처리하여 삽목 효율을 조사하였다. 그 결과, 신초 발생은 두 품종 모두 B를 제외한 모든 처리에서 95% 이상으로 양호했고, 발근율은 W와 RB에서 100%였으나, 품종에 따라 R, G, B에서 는 80% 이하로 낮았다. 건중량 비교에서도 두 품종 모두 RB에 서 뿌리와 신초 생장이 가장 우수하였고, B에서 가장 낮았다. 또한 삽목 기간 동안 삽수 잎의 황화 및 낙엽은 RB 처리에서 최소화되었다. 이상의 결과는 RB가 장미 삽목묘의 발근, 신초 생장 및 삽수 잎 유지에 가장 효과적임을 보여주며, 저광도 실내 육묘시스템 적용 가능성을 뒷받침한다.

This study explores the critical interrelationship between component standardization and airworthiness certification in the context of military aircraft systems. As the complexity and technological integration of modern defense platforms increase, the alignment between standardized component frameworks and evolving airworthiness requirements becomes essential to ensure operational reliability, safety, and maintainability. The current defense acquisition and certification systems often operate in a decoupled manner, leading to duplicated testing, certification delays, and cost overruns. Through comparative analysis of national and international certification protocols (MIL-HDBK-516, NATO STANAG, EASA SIB), this paper identifies structural inefficiencies in managing non-standardized or partially certified components. Based on these findings, the study proposes a function-based integrated management system that enables data synchronization across standard parts databases, quality records, and certification requirements. The proposed framework consists of four core modules: (1) standard part information management, (2) quality assurance and test linkage, (3) certification support engine, and (4) lifecycle risk monitoring. The study also anticipates quantifiable improvements such as reduced certification time and improved audit traceability. The results provide practical and policy implications for enhancing the interoperability, reliability, and export competitiveness of domestic defense platforms.

As modern weapon systems become increasingly complex, the need for integrated management of component standardization and airworthiness certification has grown significantly. This study proposes a system-based approach to establish an integrated management framework that addresses inefficiencies, certification delays, and supply chain risks inherent in current military aircraft development processes. The research reviews the functional scope of component standardization and compares airworthiness certification systems across domestic and international defense sectors. It identifies limitations caused by the fragmented management of parts and certification processes, and proposes a digital platform that interconnects parts databases, configuration control, quality assurance, and certification modules. The framework incorporates AI and digital twin technologies to monitor and manage reliability across the entire life cycle of a weapon system. This study lays the foundation for enhancing the operational efficiency of national defense technologies, and contributes to strengthening the autonomy and global competitiveness of the Korean defense industry.

In this study, We aim to provide design data for a low-temperature refrigeration system to select operating conditions for predicting maximum performance of an eco-friendly binary refrigeration system based on changing operating conditions The operating variables considered in this paper are evaporating temperature, condensing temperature, superheating degree, subcooling degree, and compression efficiency. The main results are summarized as follows: In the low temperature range of -50℃ to -30℃, the COP of the system increased as the evaporating temperature and subcooling degree of the binary refrigeration system for R744-R717 increased, but the COP decreased as the condensing temperature and superheating degree increased. It was confirmed that factors such as superheating, subcooling, condensing temperature, evaporating temperature, cascade temperature difference, and compression efficiency affect the performance coefficient of the binary refrigeration cycle for R744 and R717, and it was found that each of these factors has a cascade evaporating temperature that maximizes the performance of the binary refrigeration cycle.

This paper presents the design and experimental validation of an intelligent tire alignment and lifting control system for an under-vehicle autonomous parking robot. The proposed system enables the robot to autonomously enter beneath a vehicle, recognize tire positions using a LiDAR-based sensing module, and perform precise lifting through a fork-type mechanism. A YOLOv8 instance segmentation algorithm is employed to detect tire regions from LiDAR point cloud data and estimate their geometric centers. The detected tire positions are then matched with a vehicle database to determine the correct alignment for lifting. Experiments were conducted on three different vehicle types under various surface conditions. The results show that the proposed system achieved a tire recognition accuracy exceeding 95%, a lifting success rate of 100%, and an average lifting operation time of 12.3 seconds. These results demonstrate the reliability and practicality of the proposed method for real-world autonomous parking applications.

In this study, a hybrid cooling system combining thermoelectric modules and a vapor compression cycle was applied to a cold storage unit, and the effect of enhancing energy efficiency through the application of mist spraying technology to the heat exchanger coils was analyzed. The hybrid cooling system was designed to operate the vapor compression cycle during the initial temperature reduction phase (from ambient to 5°C), and to maintain the set temperature using thermoelectric modules thereafter. Separate heat exchangers were installed for the thermoelectric and vapor compression components, and mist spraying was applied individually to each heat exchanger coil. Experimental results showed that mist spraying reduced power consumption by approximately 20% during vapor compression operation, and by about 1~2% during thermoelectric operation. This study empirically demonstrates the potential of mist spraying technology as an energy-saving enhancement for hybrid cooling systems, and the findings can serve as a foundation for the development and commercialization of integrated heat exchangers in the future.

This study empirically examines the effectiveness of the Ramsar Wetland City Accreditation System in promoting integrated management of urban-adjacent wetlands, enhancing community participation, and strengthening local capacity. Using survey and monitoring data from Jeju-si, Inje-gun, and Changnyeonggun (accredited in 2018) and Gochang-gun and Seogwipo-si (accredited in 2022), the analysis integrates AHP and statistical verification to evaluate system effectiveness, operational elements, and the relationship between performance and perception. The results indicate that the system positively contributed to establishing a supportive social foundation, including improved information accessibility (72%), strengthened community capacity (71%), enhanced conservation and management interest (83%), and greater public understanding of wetlands (84%), which in turn led to increased program participation and behavioral changes. Trust in local governments and management committees was relatively high, reinforcing regional governance. However, limitations such as inconsistent and discontinuous implementation, declining trust in central government, overreliance on local government initiative, and budget imbalances across project types were identified as constraints to sustainability. To address these issues, this study suggests establishing a scientific performance management system, expanding financial independence based on local resources, strengthening the authority of local management committees, improving evaluation quality, enhancing central-local cooperation, ensuring balanced budget allocation, and advancing information feedback systems, thereby supporting the evolution of Ramsar Wetland Cities as models of sustainable socio-ecological development.

This study experimentally evaluated the filter lifespan extension achieved by a retractable, built-in air purification system equipped with a self-cleaning rotating filter. Conventional fixed-type air purifiers commonly experience a rapid increase in pressure drop and non-uniform airflow distribution as dust accumulates on the filter surface, leading to degradation in long-term purification performance. To overcome these limitations, the proposed system incorporates a retractable filter module and a rotational dust-removal mechanism designed to maintain stable airflow and reduce particulate loading during extended operation. Experiments were carried out in a controlled 30 m3 residential-scale test chamber to compare filtration performance, pressure-drop characteristics, and particle removal efficiency between the self-cleaning retractable system and a conventional fixed-depth configuration. The results indicate that the rotating self-cleaning mode reduced pressure drop by up to 18.5% and improved PM2.5 removal efficiency by approximately 12.7% relative to fixed operation. Increasing the filter protrusion depth further enhanced airflow uniformity and expanded the clean-air coverage area, thereby delaying the onset of filter saturation. Overall, the findings demonstrate that the proposed retractable, built-in air purification system effectively suppresses pressure-drop rise, maintains purification efficiency, and extends usable filter life. These results confirm the system’s practical applicability for residential indoor-air-quality management and lay the foundation for future optimization and commercialization.

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.

This study investigated odor generation and external leakage characteristics in a combined sewer system through field monitoring of manholes, catch basins, and box culverts. Odor samples were analyzed for malodor intensity in terms of the dilutionto- threshold (D/T) ratio using the air dilution sensory (ADS) test. In addition to the ADS tests, 22 offensive odorants as defined in the Korean Malodor Prevention Act were quantified. Among the odorants monitored, hydrogen sulfide showed not only the highest concentrations but was also the most frequently detected, indicating representative odor compounds. The mean hydrogen sulfide concentration reached 1,132 ppbv, with a maximum of 13,709 ppbv, corresponding to complex odor concentrations of up to 1,442 dilution-to-threshold units. On average, approximately 13% of the internal sewer odors escaped through manhole openings, which could easily cause odor nuisance exceeding the legal threshold at boundary lines. A comparison with national odor management standards indicated that the current regulations, based solely on in-pipe hydrogen sulfide concentration, do not adequately represent human sensory perception. The findings highlight the need to establish practical odor-control criteria that consider external leakage and perceptual intensity for effective sewer odor management in urban environments.

마늘의 파종 작업에 투입되는 노동력 및 노동시간은 마늘 재배 중 많은 비중을 차지한다. 이에 마늘 파종을 위한 기계가 개발 및 이용되고 있지만, 이중 파종과 결주 등으로 인해 동일 토지 대비 인력 파종에 비해 생산성이 감소하는 문제가 발생하고 있다. 따라서, 본 연구에서는 마늘의 기계 파종 생산성 향상을 목표로 파종기 결주율에 영향을 미칠 것으로 예상되는 파종시스템의 설계 및 운용 변수에 대한 이산요소 시뮬레이션을 수행하였다. 파종시스템에 이용되는 버킷의 형상 및 크기와 마늘의 이산요소모델은 기존 연구 결과를 활용하였으며, 이를 바탕으로 버킷의 회전속도, 간격 그리고 파종시스템의 경사가 결주율에 미치는 영향을 분석하였다. 시뮬레이션 분석 결과, 버킷의 회전속도와 간격은 결주율에 큰 영향을 미치지 않는 것으로 확인되었으나, 파종시스템의 경사는 결주율에 직접적인 영향을 미치는 것으로 확인되었다. 따라서, 파종기를 이용하여 마늘의 파종 작업을 수행할 경우, 파종기의 기울기 또는 토지의 경사 등을 고려해야 하며, 파종기 설계 시 경사조절장치 등의 도입을 통해 결주율 감소 및 생산성 향상에 효과적으로 대응할 수 있음을 확인하였다.

The purpose of this study is to evaluate the applicability of an unsupervised outlier-detection method as a surrogate safety measure (SSM) to estimate the effect of AI-based Bike-Safe monitoring system. An SSM that utilizes near-miss data immediately before an accident occurs must be developed to compensate for inadequate bicycle accident data and missing reports. In particular, the omission level of accident reports related to bicycle users is higher on bicycle paths, which implies that the importance of an SSM in safety management is much greater than in the general road environment. Therefore, the unsupervised outlier-detection method was set as the SSM because it can be learned without a label, is suitable for streaming data, and is generalizable under limited data. Additionally, the DeepAnT(deep learningbased anomaly detection) model was selected as the most appropriate time-series outlier-detection method. Using the time-series prediction module of the learned DeepAnT model, we analyzed the frequency of outliers or avoidance behaviors based on a linear relationship between estimated and observed values. The history data of the acceleration change rate of each bicycle were applied to the DeepAnT model to evaluate the possibility of using alternative safety indicators. Thus, those data are expected to be applicable as an alternative safety indicator for bicycle paths.

This study aims to quantitatively and qualitatively evaluate the operational effects of an emergency-vehicle preemption (EVP) system implemented in Anyang City and to derive improvement directions based on both empirical performance outcomes and user-experienced insights. Specifically, this study integrates three complementary methodologies: (1) controlled field tests comparing pre- and post-EVP travel performance under consistent traffic and signal conditions, (2) a one-year operational evaluation using 204 actual dispatch cases collected from six 119 Safety Centers, and (3) a structured survey of frontline firefighters who directly utilized the EVP system during actual emergency responses. The field test results indicated that the average travel time reduced by approximately 44% while the average travel speed increased by approximately 79%, with paired t-test verification confirming that the observed improvements were statistically significant and attributable to the EVP system instead of to random variations. Similarly, the operational evaluation indicated that the actual travel time reduced by an average of 49% compared with navigation-estimated values, whereas the golden-time (5 min) arrival rates for both fire/rescue and medical dispatches exceeded the regional average, with consistent performance demonstrated even under varying travel distances and road complexities. The firefighter survey further reinforced these findings, with respondents reporting clear improvements in golden-time achievement, reduced anxiety toward potential safety risks, and enhanced perceived safety during emergency trials, as well as identified several practical limitations such as route mismatches, occasional system malfunctions, and difficulty in perceiving preemption activation—factors that suggest necessary technical and operational refinements. In general, the EVP system was evaluated as an effective and highly practical tool that improves emergency-vehicle mobility, arrival-time stability, and operational reliability across diverse dispatch conditions. The combined quantitative and qualitative verification in this study underscores its value as a field-proven technology. Future studies should expand to multiregional longitudinal datasets, controlled analyses considering external variables such as traffic volume and weather, and quantitative evaluation of safety-related impacts such as reductions in intersection collisions or on-route risk exposure to assess the system’s broader policy and operational benefits more comprehensively.

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.