In the past, fish diseases were bacterial in aqua farms, but in recent years, the frequency of fish diseases has increased as they have become viral and mixed. Viral diseases in an enclosed space called a aqua farm have a high spread rate, so it is very likely to lead to mass death. Fast identification of fish diseases is important to prevent group death. However, diagnosis of fish diseases requires a high level of expertise and it is difficult to visually check the condition of fish every time. In order to prevent the spread of the disease, an automatic identification system of diseases or fish is needed. In this paper, in order to improve the performance of the disease identification system of Paralichthys olivaceus based on deep learning, the existing pre-processing method is compared and tested. Target diseases were selected from three most frequent diseases such as Scutica, Vibrio, and Lymphocystis in Paralichthys olivaceus. The RGB, HLS, HSV, LAB, LUV, XYZ, and YCRCV were used as image pre-processing methods. As a result of the experiment, HLS was able to get the best results than using general RGB. It is expected that the fish disease identification system can be advanced by improving the recognition rate of diseases in a simple way.
Background and objective: Education based on agricultural experience in school gardens is coming to the fore as a solution to reduce the negative effect of rapid urbanization and the development of information technology (IT) on students. Accordingly, this study aimed to investigate how parents of elementary, middle, and high school students in Korea perceive the value of education service using school gardens, as well as their willingness to participate in and pay for such service, and to utilize the results in a quantitative assessment of the socioeconomic value of the education service. Methods: A contactless online survey on the perceived value of education service using school gardens was conducted on 1,010 parents of elementary, middle, and high school students in Korea's five major districts from October 22 to 26 (5 days) of 2020 by M, a Korean specialized survey agency. The data collected was analyzed using SPSS for Windows 25.0 and Excel to obtain the frequency and ratio of each measured item. Results: The respondents had an average of 1.83, of which 52.8% were male. 55.3% of the respondents were aware of the education service using school gardens, and 27.9% experienced the service. When asked if they saw the educational service using school gardens as necessary, 79% answered in the affirmative. In terms of the difference in perception of the need for the service according to experience, 91.8% of the parents who experienced the service responded that it was necessary, indicating that it is important to provide opportunities to experience this service to expand the scope of service. 54.9% of all respondents responded they were willing to pay the costs required for school gardens. When income tax was used as a payment method, the average amount parents were willing to pay was 13,193 KRW, and the tax rate was 2.02%. Based on experience, those who experienced this service had a higher need and willingness to pay for the service than those who had not experience, but the actual amount or tax rate was low as they knew how it was operated. Conclusion: As basic research on the assessment of the value of agricultural experience education using school gardens, this study determined how parents perceive this form of education service as well as their willingness to participate and pay for the service. These findings can be used to systemize the assessment indicators and promote the value of the education service using school gardens, allowing students to maintain a healthy and happy school life through agricultural experience.
The deterioration of underground facilities, disturbance of the ground due to underground development activities, and changes in ground water can cause ground subsidence accidents in the urban areas. The investigation on the geotechnical and hydraulic factors affecting the ground subsidence accident is very significant to predict the ground subsidence risk in advance. In this study, an analysis DB was constructed through 3D ground modeling to utilize the currently operating geotechnical survey information DB and ground water behavior information for risk prediction. Additionally, using these results, the relationship between the actual ground subsidence occurrence history and ground conditions and ground water level changes was confirmed. Furthermore, the methodology used to visualize the risk of ground subsidence was presented by reconstructing the engineering characteristics of the soil presented according to the Unified Soil Classification System (USCS) in the existing geotechnical survey information into the internal erosion sensitivity of the soil, Based on the result, it was confirmed that the ground in the area where the ground subsidence occurred consists of more than 40% of sand (SM, SC, SP, SW) vulnerable to internal erosion. In addition, the effect of the occurrence frequency of ground subsidence due to the change in ground water level is also confirmed.
Cho, Byung-Ki;Cho, Jaeho;Lee, Myoungjin;Lee, Jun Young;Bae, Su-Young;The Academic Committee of Korean Foot and Ankle Society,
Journal of Korean Foot and Ankle Society
/
v.26
no.1
/
pp.22-29
/
2022
Purpose: Despite continuous updates of standard treatment guidelines for acute ankle sprain and chronic ankle instability (CAI), in practice preferred treatment protocols vary widely. Based on a Korean Foot and Ankle Society (KFAS) member survey, this study reports current trends in the management of ankle ligament injuries. Materials and Methods: A web-based questionnaire containing 34 questions was sent to all KFAS members in September 2021. Questions mainly addressed clinical experience and preferences for the diagnosis and treatment of ankle ligament injuries. Answers with a prevalence of ≥50% among respondents were considered to reflect tendencies. Results: Eighty-four of the 550 members (15.3%) responded. Answers that showed a tendency were as follows: commonest additional image study (ultrasound), conservative treatment modality (immobilization, oral medication), frequency of surgical treatment (<5 cases per annum), most important factor when deciding on surgical treatment (activity level, e.g., occupation or sport), and commonest surgical procedure (open ligament repair). Answers that showed a tendency for CAI were as follows: most important symptom (repeated sprain, giving way), radiological factors (talar tilt, osteochondral lesion, anterior talar translation), and patient factors (occupation, sports activities, recurrent instability after surgery, etc.). For decision making regarding surgical treatment and method, the most preferred surgical procedure was the modified Broström procedure, and the most common repair technique was suture anchor technique. The following were considered poor prognostic factors; generalized laxity, failed previous surgery, cavovarus, severe mechanical instability, heavy work, obesity, and dissatisfaction after surgery because of residual pain. Conclusion: This study updates information regarding current trends in the management of ankle ligament injuries in Korea, and reveals consensus opinions and variations in approaches to patients with an acute or chronic injury. The divergence of approaches identified indicates the need for further studies to determine standard guidelines and long-term results.
KSCE Journal of Civil and Environmental Engineering Research
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v.29
no.6B
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pp.503-512
/
2009
Watershed models, which are a tool for water cycle mechanism, are classified as the distributed model and the lumped model. Currently, the distributed models have been more widely used than lumped model for many researches and applications. The lumped model estimates the parameters in the conceptual and empirical sense, on the other hand, in the case of distributed model the first-guess value is estimated from the grid-based watershed characteristics and rainfall data. Therefore, the distributed model needs more detailed parameter adjustment in its calibration and also one should precisely understand the model parameters' characteristics and sensitivity. This study uses Jungnang basin as a study area and $Vflo^{TM}$ model, which is a physics-based distributed hydrologic model, is used to analyze its parameters' sensitivity. To begin with, 100 years frequency-design rainfall is derived from Huff's method for rainfall duration of 6 hours, then the discharge is simulated using the calibrated parameters of $Vflo^{TM}$ model. As a result, hydraulic conductivity and overland's roughness have an effect on runoff depth and peak discharge, respectively, while channel's roughness have influence on travel time and peak discharge.
Seong Jun Cheon;Jae Ryung Choi;Sang Bok Lee;Je In Lee;Horim Lee
Composites Research
/
v.36
no.5
/
pp.289-296
/
2023
In this study, we investigated the electromagnetic properties and microwave absorption characteristics of M-type hexagonal ferrites, which are known as millimeter-wave absorbing materials, according to their calcination temperature. The M-type ferrites synthesized using a molten salt-based sol-gel method exhibited a single-phase M-type crystal structure at calcination temperatures above 850℃. The synthesized particle size increased as well with the calcination temperature. Saturation magnetization increased gradually with increasing calcination temperature, but coercivity reached a maximum at 1050℃ and then rapidly decreased. After preparing a thermoplastic polyurethane (TPU) composite containing 70 wt% of M-type ferrites, we measured the complex permittivity and permeability in the Q-band (33-50 GHz) and V-band (50-75 GHz) frequency ranges, where ferromagnetic resonance occurred. Strong magnetic loss from ferromagnetic resonance occurred in the 50 GHz band for all composite samples. Based on the measured results, we calculated the reflection loss of the TPU/M-type ferrite composite. By calculating the reflection loss of the M-type ferrite composite, the M-type ferrite calcined at 1250℃ showed excellent electromagnetic wave absorption performance of more than -20 dB at 52 GHz with a thickness of about 0.5 mm.
This study aims to validate a web-based neuropsychological testing tool developed by Kwak(2007) and to suggest solutions to potential problems that can deteriorate its validity. When it targets a wider range of subjects, a web-based neuropsychological testing tool is challenged by high drop-out rates, lack of motivation, lack of interactivity with the experimenter, fear of computer, etc. As a possible solution to these threats, this study aims to redesign the user interface of a web-based attention testing tool through three phases of study. In Study 1, an extensive analysis of Kwak's(2007) attention testing tool was conducted to identify potential usability problems. The Heuristic Walkthrough(HW) method was used by three usability experts to review various design features. As a result, many problems were found throughout the tool. The findings concluded that the design of instructions, user information survey forms, task screen, results screen, etc. did not conform to the needs of users and their tasks. In Study 2, 11 guidelines for the design of web-based attention testing tools were established based on the findings from Study 1. The guidelines were used to optimize the design and organization of the tool so that it fits to the user and task needs. The resulting new design alternative was then implemented as a working prototype using the JAVA programming language. In Study 3, a comparative study was conducted to demonstrate the excellence of the new design of attention testing tool(named graphic style tool) over the existing design(named text style tool). A total of 60 subjects participated in user testing sessions where their error frequency, error patterns, and subjective satisfaction were measured through performance observation and questionnaires. Through the task performance measurement, a number of user errors in various types were observed in the existing text style tool. The questionnaire results were also in support of the new graphic style tool, users rated the new graphic style tool higher than the existing text style tool in terms of overall satisfaction, screen design, terms and system information, ease of learning, and system performance.
Seismic reflection surveying is one of the most widely used and effective techniques for coal seam structure delineation and risk mitigation for underground longwall mining. However, the ability of the method can be compromised by the presence of volcanic cover. This problem arises within parts of the Bowen and Sydney Basins of Australia and seismic surveying can be unsuccessful. As a consequence, such areas are less attractive for coal mining. Techniques to improve the success of seismic surveying over basalt flows are needed. In this paper, we use elastic wave-equation-based forward modelling techniques to investigate the effects and characteristics of seismic wave propagation under different settings involving changes in basalt properties, its thickness, lateral extent, relative position to the shot position and various forms of inhomogeneity. The modelling results suggests that: 1) basalts with high impedance contrasts and multiple flows generate strong multiples and weak reflectors; 2) thin basalts have less effect than thick basalts; 3) partial basalt cover has less effect than full basalt cover; 4) low frequency seismic waves (especially at large offsets) have better penetration through the basalt than high frequency waves; and 5) the deeper the coal seams are below basalts of limited extent, the less influence the basalts will have on the wave propagation. In addition to providing insights into the issues that arise when seismic surveying under basalts, these observations suggest that careful management of seismic noise and the acquisition of long-offset seismic data with low-frequency geophones have the potential to improve the seismic results.
Purpose: The aim of this study was to investigate the relationship between instant noodle intake and metabolic factors in Korean adults. Methods: Study subjects were 5,894 (male 2,293, female 3,601) aged 19~64 years who participated in the 2013~2014 KNHANES. Information on frequency and consumption of instant noodles was obtained by the food frequency questionnaires method in KNHANES (Korean National Health and Nutrition Examination Survey), and subjects were classified according to age, sex, and instant noodle consumption (INC). Results: The frequency and consumption of instant noodles was 1.2 times/week and 1.2 servings in subjects. High INC group (${\geq}1$ serving/week) was significantly younger in age compared with the low INC group (< 1 serving/week). However, the high INC group had significantly higher waist circumference, metabolic factors (triglyceride, cholesterol, and HDL-cholesterol), and dietary intake (energy intake, fat, and sodium density) compared with the low INC group. Hyperglycemia showed association with higher risk of highest quartile of INC after adjustments for multiple confounding factors, including age, gender, household income, education, smoking, and alcohol compared with the lowest quartile (OR: 1.4, 95% CI: 1.1-1.8). In female, abdominal obesity showed association with higher risk of highest quartile of INC after adjustments for multiple confounding factors compared with the lowest quartile (OR: 1.6, 95% CI: 1.2-2.2). Conclusion: Consumption of instant noodles was associated with increased prevalence of abdominal obesity and hyperglycemia in women. These findings suggest an association of instant noodle consumption status with metabolic risk.
Recently, changes in rainfall intensity and patterns have been causing increasing soil loss worldwide. As a result, the water ecosystem becomes worse and crops yield are reduced with soil loss and nutrient loss with it. Many studies have been proposed to estimate runoff and soil loss to predict or decrease non-point source pollution. Although the USLE has been used for many years in estimating soil losses, the USLE cannot reflect effects on soil loss of changes in rainfall intensity and patterns. The WEPP, physically based model, is capable of predicting soil loss and runoff using various rainfall intensity. In this study, the WEPP model was simulated for sediment yield, runoff and peak runoff using data of 5, 10, 30, 60 minute term rainfall, Huff's method and design rainfall. In case of rainfall interval of 5 minutes and 60 minutes, the sediment and runoff values decreased by 24% and 19%, respectively. The peak rate runoff values decreased by 16% when rainfall interval changed from 5 minutes to 60 minutes, indicating the peak rate runoff values are affected by rainfall intensity to some degrees. As a result of simulating using Huff's method, all values (sediment yield, runoff, peak runoff) were found to be the greatest at third quartile. According to the analysis under various design rainfall conditions (2, 3, 5, 10, 20, 30, 50, 100, 200, 300 years frequency), sediment yield, runoff, and peak runoff of 906.2%, 249.4% and 183.9% were estimated using 2 year to 300 year frequency rainfall data.
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