• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.687-692
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• 2024

The energy crisis is emerging as a serious problem around the world. In the case of Korea, there is great interest in energy efficiency research related to industrial complexes, which use more than 53% of total energy and account for more than 45% of greenhouse gas emissions in Korea. One of the studies is a study on saving energy through sharing facilities between factories using the same utility in an industrial complex called a virtual energy network plant and through transactions between energy producing and demand factories. In such energy-saving research, data collection is very important because there are various uses for data, such as analysis and prediction. However, existing systems had several shortcomings in reliably collecting time series data. In this study, we propose an intelligent IIoT platform to improve it. The intelligent IIoT platform includes a preprocessing system to identify abnormal data and process it in a timely manner, classifies abnormal and missing data, and presents interpolation techniques to maintain stable time series data. Additionally, time series data collection is streamlined through database optimization. This paper contributes to increasing data usability in the industrial environment through stable data collection and rapid problem response, and contributes to reducing the burden of data collection and optimizing monitoring load by introducing a variety of chatbot notification systems.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.4
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• pp.135-140
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• 2024

It is said that PV power generation systems have a long lifespan compared to other renewable energy sources and require little maintenance. However, there are cases where the performance expected during initial design is not achieved due to shading, temperature rise, mismatch, contamination/deterioration of PV modules, failure of inverter, leakage current, and arc generation. Therefore, in order to solve the problems of these systems, the power generation amount and operation status are investigated qualitatively, or the performance is comparatively analyzed based on the performance ratio (PR), which is the performance index of the solar power generation system. However, because it includes large losses, it is difficult to accurately determine whether there are any abnormalities such as performance degradation, failure, or defects in the PV power generation system using only the performance coefficient. In this paper, we studied a status diagnosis algorithm for shading, inverter failure, leakage, and arcing of PV modules to optimize the power generation of PV power generation systems according to changes in the surrounding environment. In addition, using the studied algorithm, we examined the results of an empirical test on condition diagnosis for each area and the resulting optimized operation of power generation.

• The Sea:JOURNAL OF THE KOREAN SOCIETY OF OCEANOGRAPHY
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• v.29 no.3
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• pp.139-152
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• 2024

This study conducted various sensitivity experiments to assess and improve the performance of low-resolution global ocean circulation models. The MOM6 (Modular Ocean Model Version 6), developed by the Geophysical Fluid Dynamics Laboratory, was utilized. We focused on analyzing the effects of implementing the ePBL (energetics based planetary boundary layer) mixed layer scheme, including tidal simulation, and applying hybrid vertical coordinate system on the simulation accuracy of ocean circulation. The results revealed that the ePBL scheme effectively mitigated excessive mixed layer thickness and high temperature biases in the equatorial Pacific, while tidal simulations contributed to improving the oceanic structures in the Yellow Sea and the East Sea. Additionally, the hybrid vertical coordinate system enabled more accurate simulations of the vertical structure of temperature and salinity, enhancing model performance. This study proposes specific approaches to enhance the accuracy of ocean circulation models, contributing to global ocean and climate modeling efforts.

• Journal of The Korean Society of Integrative Medicine
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• v.12 no.3
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• pp.163-178
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• 2024

Purpose : This study aimed to evaluate the effectiveness of an integrative medical service model applied to breast cancer patients and their caregivers, exploring its feasibility and challenges within the context of South Korean healthcare system. Methods : A case study approach was chosen to assess the integrative medical service model's efficacy, involving one breast cancer patient and her primary caregiver from W University Hospital. The patient had completed reconstructive surgery and chemotherapy and was undergoing radiotherapy. The model included standard treatments alongside psychological counseling, aromatherapy, axillary rehabilitation exercise, make-up program, art therapy, laughter therapy, horticultural therapy, and yoga programs, and meditation programs delivered over eight weeks. Quantitative and qualitative data were collected through surveys, psychological tests, and feedback assessments. Results : The integrative medical service model demonstrated notable improvements in the quality of life for both breast cancer patients and their caregivers. Participants reported enhanced emotional well-being, reduced stress levels, and improved coping mechanisms throughout the treatment journey. Qualitative feedback highlighted the positive impact of holistic interventions in alleviating psychological distress and fostering resilience. Quantitative data corroborated these findings, showing statistically significant improvements in various psychosocial parameters assessed. Conclusions : Our findings underscore the benefits of integrative medical service model with standard medical treatments in the care of breast cancer patients and their caregivers. The holistic approach not only addresses physical symptoms but also enhances overall well-being and quality of life. However, the implementation of such models faces challenges within the South Korean healthcare system, including fragmented service networks and financial constraints. Addressing these structural barriers is crucial for the widespread adoption and sustainability of integrative care models in oncology practice. Future research should focus on larger-scale studies to further validate these findings and inform policy decisions aimed at optimizing cancer care delivery.

• Journal of Bio-Environment Control
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• v.32 no.4
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• pp.336-341
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• 2023

This study examines the characteristics of berries from secondary bearing shoots of 'Scintilla' southern highbush blueberry, grown hydroponically in the Jinju, Gimhae, and Uiryeong regions of Gyeongnam Province. Typically, 'Scintilla' forms flower buds at the tips of regular bearing shoots during the previous season, yielding berries in the current season. However, under heated cultivation, we observed a proliferation of secondary bearing shoots that produce berries in the same growing season. Flowering and harvesting on secondary bearing shoots were delayed by 52 and 36 days, respectively, compared to regular bearing shoots. However, these shoots exhibited a 54% increase in diameter and a 10% increase in length. We found no significant difference in berry size and soluble solid content between the two types of shoots. Notably, berries from the secondary bearing shoots had higher potassium and lower calcium and magnesium concentrations. We conclude that berries from secondary bearing shoots could be marketable, provided the bushes are healthy. These findings provide valuable insights for optimizing cultural practices to improve the yield and quality of blueberries under specific environmental conditions.

• Advances in concrete construction
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• v.17 no.2
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• pp.111-126
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• 2024

During the clinkering stages of cement production, the chemical composition of fine raw materials such as limestone and clay, which include iron oxide (Fe₂O₃), silicon dioxide (SiO₂) and aluminum oxide (Al₂O₃), significantly influences the quality of the final product. Specifically, the chemical interaction of Fe₂O₃ with CaO, SiO₂ and Al₂O₃ during clinkerisation plays a key role in determining the chemical reactivity and overall quality of the final cement, shaping the properties of the concrete produced. As an extension, this study aims to investigate the physical effects of incorporating nanosized Fe₂O₃ particles as fillers in concrete matrices, and their impact on concrete structures, namely slabs. To accurately model the reinforced concrete (RC) slabs, a refined trigonometric shear deformation theory (RTSDT) is used. Additionally, the stochastic Eshelby's homogenization approach is employed to determine the thermoelastic properties of nano-Fe₂O₃ infused concrete slabs. To ensure comprehensive coverage in the study, the RC slabs undergo various mechanical loads and are exposed to temperature fields to assess their thermo-mechanical performance. Furthermore, the slabs are assumed to rest on a three-parameter viscoelastic foundation, comprising the Winkler elastic springs, Pasternak shear layer and a damping parameter. The equilibrium governing equations of the system are derived using the principle of virtual work and subsequently solved using Navier's technique. The findings indicate that while ferric oxide nanoparticles enhance the mechanical properties of concrete against mechanical loading, they have less favorable effects on its performance against thermal exposure. However, the viscoelastic foundation contributes to mitigating these effects, improving the concrete's overall performance in both scenarios. These results highlight the trade-offs between mechanical and thermal performance when using Fe₂O₃ nanoparticles in concrete and underscore the importance of optimizing nanoparticle content and loading conditions to improve the structural performance of concrete structures.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.44 no.5
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• pp.683-694
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• 2024

Flood control capacity enhancement measures in watersheds can be broadly categorized into structural and non-structural approaches. In this study, we propose the improvement of the flood control capacity in the Seomjin River basin through non-structural measures by optimizing the operation of the Seomjin River Dam, specifically by introducing a flexible flood season restricted water level (FSRWL). The flexible operation of FSRWL involves setting lower restricted water levels at the beginning of the flood season to increase flood control capacity and gradually raising them as the season progresses to manage flood control more effectively. As a structural measure, we examined the installation of riverside storage areas, a representative technique of nature-based solutions (NbS). Using the 2020 flood event as a case study, we analyzed the flood level reduction effects of implementing structural and non-structural measures both separately and simultaneously to identify the most effective and economical approach. The results indicate that the optimal flood prevention strategy for the main stream of the Seomjin River during the 2020 flood event involves operating the Seomjin River Dam FSRWL at EL. 190 m during the mid-flood season as a non-structural measure and installing a riverside storage area downstream of Godalgyo Bridge in Daepyeong-ri, Gokseong-gun as a structural measure.

• Journal of Sensor Science and Technology
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• v.33 no.5
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• pp.310-317
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• 2024

Formaldehyde (HCHO) is a major primary indoor air pollutant with various adverse effects on the human body, includingsuch as sick building syndrome, lung cancer, and nasal cancer. Therefore, gas sensors for effective HCHO detection detecting HCHO are crucial for maintaining a healthy indoor environments, and research is being conducted to develop high-performance sensors for this purpose. AnOne of the effective methods for enhancing the to enhance sensing properties is involves modifying the p-n heterojunction structure, which improves sensing through via electronic sensitization based on the expanded depletion region and chemical sensitization that dissociates specific gases. In this studyHerein, weWe fabricated NiO-decorated In₂O₃ NRs using an e-beam evaporator based on the glancing angle deposition technique by optimizing the NiO thickness (0, 1, 2, and 3 nm). When exposed to 50 ppm HCHO, NiO-decorated In₂O₃ NRs showed a 3.91%-fold enhancement in the gas response (Ra/Rg-1= 23.9) and a 41.47% faster response time (40.7 s) than-compared to bare In₂O₃ NRs with an extremely low theoretical detection limit of ≈approximately 9.3 ppb.

• Explosives and Blasting
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• v.30 no.2
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• pp.29-42
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• 2012

Variables influencing the free face movement due to rock blasting include the physical and mechanical properties, in particular the discontinuity characteristics, explosive type, charge weight, burden, blast-hole spacing, delay time between blast-holes or rows, stemming conditions. These variables also affects the blast vibration, air blast and size of fragmentation. For the design of surface blasting, the priority is given to the safety of nearby buildings. Therefore, blast vibration has to be controlled by analyzing the free face movement at the surface blasting sites and also blasting operation needs to be optimized to improve the fragmentation size. High-speed digital image analysis enables the analyses of the initial movement of free face of rock, stemming optimality, fragment trajectory, face movement direction and velocity as well as the optimal detonator initiation system. Even though The high-speed image analysis technique has been widely used in foreign countries, its applications can hardly be found in Korea. This thesis aims at carrying out a fundamental study for optimizing the blast design and evaluation using the high-speed digital image analysis. A series of experimentation were performed at two large surface blasting sites with the rock type of shale and granite, respectively. Emulsion and ANFO were the explosives used for the study. Based on the digital images analysis, displacement and velocity of the free face were scrutinized along with the analysis fragment size distribution. In addition, AUTODYN, 2-D FEM model, was applied to simulate detonation pressure, detonation velocity, response time for the initiation of the free face movement and face movement shape. The result show that regardless of the rock type, due to the displacement and the movement velocity have the maximum near the center of charged section the free face becomes curved like a bow. Compared with ANFO, the cases with Emulsion result in larger detonation pressure and velocity and faster reaction for the displacement initiation.

• Journal of the Institute of Electronics and Information Engineers
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• v.54 no.1
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• pp.96-110
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• 2017

Most of vehicle detection studies using the existing general lens or wide-angle lens have a blind spot in the rear detection situation, the image is vulnerable to noise and a variety of external environments. In this paper, we propose a method that is detection in harsh external environment with noise, blind spots, etc. First, using a fish-eye lens will help minimize blind spots compared to the wide-angle lens. When angle of the lens is growing because nonlinear radial distortion also increase, calibration was used after initializing and optimizing the distortion constant in order to ensure accuracy. In addition, the original image was analyzed along with calibration to remove fog and calibrate brightness and thereby enable detection even when visibility is obstructed due to light and dark adaptations from foggy situations or sudden changes in illumination. Fog removal generally takes a considerably significant amount of time to calculate. Thus in order to reduce the calculation time, remove the fog used the major fog removal algorithm Dark Channel Prior. While Gamma Correction was used to calibrate brightness, a brightness and contrast evaluation was conducted on the image in order to determine the Gamma Value needed for correction. The evaluation used only a part instead of the entirety of the image in order to reduce the time allotted to calculation. When the brightness and contrast values were calculated, those values were used to decided Gamma value and to correct the entire image. The brightness correction and fog removal were processed in parallel, and the images were registered as a single image to minimize the calculation time needed for all the processes. Then the feature extraction method HOG was used to detect the vehicle in the corrected image. As a result, it took 0.064 seconds per frame to detect the vehicle using image correction as proposed herein, which showed a 7.5% improvement in detection rate compared to the existing vehicle detection method.