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Detecting Vehicles That Are Illegally Driving on Road Shoulders Using Faster R-CNN (Faster R-CNN을 이용한 갓길 차로 위반 차량 검출)

  • Go, MyungJin;Park, Minju;Yeo, Jiho
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.21 no.1
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    • pp.105-122
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    • 2022
  • According to the statistics about the fatal crashes that have occurred on the expressways for the last 5 years, those who died on the shoulders of the road has been as 3 times high as the others who died on the expressways. It suggests that the crashes on the shoulders of the road should be fatal, and that it would be important to prevent the traffic crashes by cracking down on the vehicles intruding the shoulders of the road. Therefore, this study proposed a method to detect a vehicle that violates the shoulder lane by using the Faster R-CNN. The vehicle was detected based on the Faster R-CNN, and an additional reading module was configured to determine whether there was a shoulder violation. For experiments and evaluations, GTAV, a simulation game that can reproduce situations similar to the real world, was used. 1,800 images of training data and 800 evaluation data were processed and generated, and the performance according to the change of the threshold value was measured in ZFNet and VGG16. As a result, the detection rate of ZFNet was 99.2% based on Threshold 0.8 and VGG16 93.9% based on Threshold 0.7, and the average detection speed for each model was 0.0468 seconds for ZFNet and 0.16 seconds for VGG16, so the detection rate of ZFNet was about 7% higher. The speed was also confirmed to be about 3.4 times faster. These results show that even in a relatively uncomplicated network, it is possible to detect a vehicle that violates the shoulder lane at a high speed without pre-processing the input image. It suggests that this algorithm can be used to detect violations of designated lanes if sufficient training datasets based on actual video data are obtained.

Association study and expression analysis of olfactomedin like 3 gene related to meat quality, carcass characteristics, retail meat cut, and fatty acid composition in sheep

  • Listyarini, Kasita;Sumantri, Cece;Rahayu, Sri;Uddin, Muhammad Jasim;Gunawan, Asep
    • Animal Bioscience
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    • v.35 no.10
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    • pp.1489-1498
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    • 2022
  • Objective: The objective of this study was to identify polymorphism in olfactomedin like 3 (OLFML3) gene, and association analysis with meat quality, carcass characteristics, retail meat cut, and fatty acid composition in sheep, and expression quantification of OLFML3 gene in phenotypically divergent sheep. Methods: A total of 328 rams at the age of 10 to 12 months with an average body weight of 26.13 kg were used. A novel polymorphism was identified using high-throughput sequencing in sheep and genotyping of OLFML3 polymorphism was performed using polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Among 328 rams, 100 rams representing various sheep genotypes were used for association study and proc general linear model was used to analyse association between genotypes and phenotypic traits. Quantitative real-time polymerase chain reaction (qRT-PCR) was used for the expression analysis of OLFML3 mRNA in phenotypically divergent sheep population. Results: The findings revealed a novel polymorphism in the OLFML3 gene (g.90317673 C>T). The OLFML3 gene revealed three genotypes: CC, CT, and TT. The single nucleotide polymorphism (SNP) was found to be significantly (p<0.05) associated with meat quality traits such as tenderness and cooking loss; carcass characteristics such as carcass length; retail meat cut such as pelvic fat in leg, intramuscular fat in loin and tenderloin, muscle in flank and shank; fatty acids composition such as tridecanoic acid (C13:0), palmitoleic acid (C16:1), heptadecanoic acid (C17:0), ginkgolic acid (C17:1), linolenic acid (C18:3n3), arachidic acid (C20:0), eicosenoic acid (C20:1), arachidonic acid (C20:4n6), heneicosylic acid (C21:0), and nervonic acid (C24:1). The TT genotype was associated with higher level of meat quality, carcass characteristics, retail meat cut, and some fatty acids composition. However, the mRNA expression analysis was not different among genotypes. Conclusion: The OLFML3 gene could be a potential putative candidate for selecting higher quality sheep meat, carcass characteristics, retail meat cuts, and fatty acid composition in sheep.

Modeling the Effect of Intake Depth on the Thermal Stratification and Outflow Water Temperature of Hapcheon Reservoir (취수 수심이 합천호의 수온성층과 방류 수온에 미치는 영향 모델링)

  • Sun-A Chong;Hye-Ji Kim;Hye-Suk Yi
    • Journal of Environmental Impact Assessment
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    • v.32 no.6
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    • pp.473-487
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    • 2023
  • Korea's multi-purpose dams, which were constructed in the 1970s and 1980s, have a single outlet located near the bottom for hydropower generation. Problems such as freezing damage to crops due to cold water discharge and an increase the foggy days have been raised downstream of some dams. In this study, we analyzed the effect of water intake depth on the reservoir's water temperature stratification structure and outflow temperature targeting Hapcheon Reservoir, where hypolimnetic withdrawal is drawn via a fixed depth outlet. Using AEM3D, a three-dimensional hydrodynamic water quality model, the vertical water temperature distribution of Hapcheon Reservoir was reproduced and the seasonal water temperature stratification structure was analyzed. Simulation periods were wet and dry year to compare and analyze changes in water temperature stratification according to hydrological conditions. In addition, by applying the intake depth change scenario, the effect of water intake depth on the thermal structure was analyzed. As a result of the simulation, it was analyzed that if the hypolimnetic withdrawal is changed to epilimnetic withdrawal, the formation location of the thermocline will decrease by 6.5 m in the wet year and 6.8 m in the dry year, resulting in a shallower water depth. Additionally, the water stability indices, Schmidt Stability Index (SSI) and Buoyancy frequency (N2), were found to increase, resulting in an increase in thermal stratification strength. Changing higher withdrawal elevations, the annual average discharge water temperature increases by 3.5℃ in the wet year and by 5.0℃ in the dry year, which reduces the influence of the downstream river. However, the volume of the low-water temperature layer and the strength of the water temperature stratification within the lake increase, so the water intake depth is a major factor in dam operation for future water quality management.

Application Feasibility Study of Non-local Means Algorithm in a Miniaturized Vein Near-infrared Imaging System (정맥 관찰용 소형 근적외선 영상 시스템에서의 비지역적평균 알고리즘 적용 가능성 연구)

  • Hyun-Woo Jeong;Youngjin Lee
    • Journal of the Korean Society of Radiology
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    • v.17 no.5
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    • pp.679-684
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    • 2023
  • Venous puncture is widely used to obtain blood samples for pathological examination. Because the invasive venipuncture method using a needle is repeatedly performed, the pain suffered by the patient increases, so our research team pre-developed a miniaturized near-infrared (NIR) imaging system in advance. To improve the image quality of the acquired NIR images, this study aims to model the non-local means (NLM) algorithm, which is well known to be efficient in noise reduction, and analyze its applicability in the system. The developed NIR imaging system is based on the principle that infrared rays pass through dichroic and long-pass filters and are detected by a CMOS sensor module. The proposed NLM algorithm is modeled based on the principle of replacing the pixel from which noise is to be removed with a value that reflects the distances between surrounding pixels. After acquiring an NIR image with a central wavelength of 850 nm, the NLM algorithm was applied to segment the final vein area through histogram equalization. As a result, the coefficient of variation of the NIR image of the vein using the NLM algorithm was 0.247 on average, which was an excellent result compared to conventional filtering methods. In addition, the dice similarity coefficient value of the NLM algorithm was improved by 62.91 and 9.40%, respectively, compared to the median filter and total variation methods. In conclusion, we demonstrated that the NLM algorithm can acquire accurate segmentation of veins acquired with a NIR imaging system.

Optimization of impeller blade shape for high-performance and low-noise centrifugal pump (고성능 저소음 원심펌프 개발을 위한 임펠러 익형 최적설계)

  • Younguk Song;Seo-Yoon Ryu;Cheolung Cheong;Tae-hoon Kim;Junhyo Koo
    • The Journal of the Acoustical Society of Korea
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    • v.42 no.6
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    • pp.519-528
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    • 2023
  • The aim of this study was to enhance the flow rate and noise performance of a centrifugal pump in dishwashers by designing an optimized impeller shape through numerical and experimental investigations. To evaluate the performance of the target centrifugal pump, experiment was conducted using a pump performance tester and noise experiment was carried out in a semi-anechoic chamber with microphones and a reflecting wall behind the dishwasher. Through the use of advanced computational fluid dynamics techniques, numerical simulations were performed to analyze the flow and aeroacoustics performance of our target centrifugal pump impeller. To achieve this, numerical simulations were carried out using the Reynolds-Average Navier-Stokes equations and Ffowcs-Willliams and Hawkings equations as governing equations. In order to ensure the validity of numerical methods, a thorough comparison of numerical results with experimental results. After having confirmed the reliability of the current numerical method of this study, the optimization of the target centrifugal pump impeller was conducted. An improvement in flow rate was confirmed numerically, and a manufactured proto-type of the optimized model was used for experimental investigation. Furthermore, it was observed that by applying the fan law, we could effectively reduce noise levels without reducing the flow rate.

Estimation of Premature Deaths due to Exposure to Particulate Matter (PM2.5) Reflecting Population Structure Change in South Korea (인구구조 변동 추세를 반영한 미세먼지 노출에 의한 조기 사망자 추정)

  • Junghyun Park;Yong-Chul Jang;Jong-Hyeon Lee
    • Journal of Environmental Health Sciences
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    • v.49 no.6
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    • pp.362-371
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    • 2023
  • Background: PM2.5 pollution has been a persistent problem in South Korea, with concentrations consistently exceeding World Health Organization (WHO) guidelines. The aging of the population in the country further exacerbates the health impacts of PM2.5 since older adults are more susceptible to the adverse effects of air pollution. Objectives: This study aims to evaluate how the health impact (premature death) due to long-term exposure to PM2.5 in South Korea could change in the future according to the trend of change in the country's population structure. Methods: The study employs a relative risk function, which accounts for age-specific relative risks, to assess the changes in premature deaths by age and region at the average annual PM2.5 concentration for 2022 and at PM2.5 concentration improvement levels. Premature deaths were estimated using the Global Exposure Mortality Model (GEMM). Results: The findings indicate that the increase in premature deaths resulting from the projected population structure changes up to 2050 would significantly outweigh the health benefits (reduction in premature deaths) compared to 2012. This is primarily attributed to the rising number of premature deaths among the elderly due to population aging. Furthermore, the study suggests that the effectiveness of the current domestic PM2.5 standard would be halved by 2050 due to the increasing impact of population aging on PM2.5-related mortality. Conclusions: The study highlights the importance of considering trends in population structure when evaluating the health benefits of air pollution reduction measures. By comparing and evaluating the health benefits in reflection of changes in population structure to the predicted PM2.5 concentration improvements at the provincial level, a more comprehensive assessment of regional air quality management strategies can be achieved.

The Effect of Emotional Labor, Resilience on Performance of Long-term Care Hospital Employee (요양병원 직원의 감정노동, 회복탄력성 등이 업무성과에 미치는 영향)

  • Park, Jong-won
    • Journal of Venture Innovation
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    • v.4 no.1
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    • pp.39-50
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    • 2021
  • This was empirical research aimed at determining the effects of emotional labor, Resilience and service environment, on the performance of Long-term Care Hospital Employee. The participants were 180 employees working in long-term care hospitals in Gyeonggi-do. The collected data were analyzed using the SPSS statics19.0 program. The study were analyzed by frequency analysis and descriptive statistics, ANOVA, Scheffe? test, Pearson correlation coefficients, and stepwise regression. As a result of the study, age, marriage status, career, and position affected performance among the general characteristics.tion coefficients, and stepwise regression. As a result of the study, the average performance was 91.25 (±12.46) points, emotional labor was 41.25 (±4.21) points, Resilience was 52.89 (±6.37), and the service environment was 78.93(±15.3) points. The performance showed a positive correlation with emotional labor(r=.326, p<.001) service environment (r=.384, p=.005) and Resilience (r=.417, p<.001) of Long-term Care Hospital Employee. Service environment was the biggest factor affecting performance, and the second was resilience. The explanatory power of this regression model was 48.2% and was statistically significant (F=58.249, p<.001).

Work-Life Balance Policies in Germany and the Participation of Private Companies (독일의 일·가정 양립정책과 민간 기업의 참여)

  • Nam, Hyun-Joo
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.729-736
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    • 2023
  • Traditionally, Germany, a conservative welfare state, has pursued a male breadwinner model based on gender division of labor. For a long time, Germany tried to address low fertility through economic support centered on cash benefits, but it was not successful. In 2007, the German government began to shift the paradigm of family policy for work-life balance under the slogan of "A mix of time policy, income transfer, and infrastructure." When the issue of low birth rates emerged as a national concern in Germany, there was a growing social sentiment that not only the government but also private companies should contribute to increasing fertility by providing family-friendly personnel policies and working conditions. Private companies have been voluntarily improving family-friendly working conditions beyond legal obligations, aiming to secure personnel and prevent turnover. Germany's fertility rate is currently rising toward the European average level in 2023, which can be attributed to the government's work-life balance policies and the participation of private companies. In terms of improving work-life balance policies in Korea, it has been proposed to change the perception of the need for fathers to participate in child care, to make parental leave compulsory for men, to guarantee employment for women after childbirth, to expand child care facilities, and to revitalize family-friendly policies in companies.

Health-related Quality of Life of Patients With Diabetes Mellitus Measured With the Bahasa Indonesia Version of EQ-5D in Primary Care Settings in Indonesia

  • Muhammad Husen Prabowo;Ratih Puspita Febrinasari;Eti Poncorini Pamungkasari;Yodi Mahendradhata;Anni-Maria Pulkki-Brannstrom;Ari Probandari
    • Journal of Preventive Medicine and Public Health
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    • v.56 no.5
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    • pp.467-474
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    • 2023
  • Objectives: Diabetes mellitus (DM) is a serious public health issue that places a heavy financial, social, and health-related burden on individuals, families, and healthcare systems. Self-reported health-related quality of life (HRQoL) is extensively used for monitoring the general population's health conditions and measuring the effectiveness of interventions. Therefore, this study investigated HRQoL and associated factors among patients with type 2 DM at a primary healthcare center in Indonesia. Methods: A cross-sectional study was conducted in Klaten District, Central Java, Indonesia, from May 2019 to July 2019. In total, 260 patients with DM registered with National Health Insurance were interviewed. HRQoL was measured with the EuroQol Group's validated Bahasa Indonesia version of the EuroQoL 5-Dimension 5-Level (EQ-5D-5L) with the Indonesian value set. Multivariate regression models were used to identify factors influencing HRQoL. Results: Data from 24 patients were excluded due to incomplete information. Most participants were men (60.6%), were aged above 50 years (91.5%), had less than a senior high school education (75.0%), and were unemployed (85.6%). The most frequent health problems were reported for the pain/discomfort dimension (64.0%) followed by anxiety (28.4%), mobility (17.8%), usual activities (10.6%), and self-care (6.8%). The average EuroQoL 5-Dimension (EQ-5D) index score was 0.86 (95% confidence interval [CI], 0.83 to 0.88). In the multivariate ordinal regression model, a higher education level (coefficient, 0.08; 95% CI, 0.02 to 0.14) was a significant predictor of the EQ-5D-5L utility score. Conclusions: Patients with diabetes had poorer EQ-5D-5L utility values than the general population. DM patients experienced pain/discomfort and anxiety. There was a substantial positive relationship between education level and HRQoL.

Development of a Structural-Analysis Model for Blast-Resistant Design of Plant Facilities Subjected to Vapor-Cloud Explosion (증기운 폭발을 받는 플랜트 시설물의 내폭설계를 위한 구조 해석 모델 개발)

  • Bo-Young Choi;Seung-Hoon Lee;Han-Soo Kim
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.37 no.2
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    • pp.103-110
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    • 2024
  • In this study, a nonlinear dynamic analysis of a frame and single member, which reflect the characteristics of a plant facility, is performed using the commercial MIDAS GEN program and the results are analyzed. The general structural members and material properties of the plant are considered. The Newmark average-acceleration numerical-analysis method is applied to a plastic hinge to study material nonlinearity. The blast load of a vapor-cloud explosion, a representative plant explosion, is calculated, and nonlinear dynamic analysis is conducted on a frame and single member. The observed dynamic behavior is organized according to the ratio of natural period to load duration, maximum displacement, ductility, and rotation angle. The conditions and range under which the frame functions as a single member are analyzed and derived. NSFF with a beam-column stiffness ratio of 0.5 and ductility of 2.0 or more can be simplified and analyzed as FFC, whereas NSPF with a beam-column stiffness ratio of 0.5 and ductility of 1.5 or more can be simplified and analyzed as FPC. The results of this study can serve as guidelines for the blast-resistant design of plant facilities.