• Title/Summary/Keyword: frequency Ratio

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A Study on the Development of Capacitor Exchange Type GDU of Propulsion Control Device of Electric Railway Vehicle Capable of Life Diagnosis (수명진단이 가능한 전기철도차량 추진제어장치의 커패시터 교환 형 GDU 개발에 관한 연구)

  • Kim, Sung Joon;Chae, Eun Kyung;Kang, Jeong Won
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.8 no.7
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    • pp.475-484
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    • 2018
  • The propulsion control device of an electric railway vehicle is a key main component corresponding to an engine of an automobile, and a device for controlling this is a device called a GDU (Gate Drive Unit). Also, when the frequency of failure of the propulsion control system was analyzed, the nonconformity ratio of GDU was the highest. GDU was not able to access core technologies due to the introduction of foreign products, and there were general problems with overall maintenance activities due to discontinuation of GDU of the manufacturer. The GDU has reached the end of its life with 23 to 14 years of long-term use.In order to solve these problems, this study was designed to identify the proper life span by analyzing compatible GDU's acquisition and failure, and to improve the existing system of maintenance focusing on health inspection. Maintenance of the components with a short life span compared to the entire service life is essential. Most foreign parts introduced at the beginning of the construction are not replaced due to technical problems or long-term operation. However, due to the characteristics of railway vehicles with a long life span of more than 25 years, it is necessary to maintain them for a long period of time. The study should be more concrete and empirical. The replacement type GDU of capacitors was able to easily measure the life of the capacitance by removing the capacitor modules, measure the life span of each unit test, and accurately perform preventive maintenance of the capacitor.

Sleep Quality and Poor Sleep-related Factors Among Healthcare Workers During the COVID-19 Pandemic in Vietnam

  • Thang Phan;Ha Phan Ai Nguyen;Cao Khoa Dang;Minh Tri Phan;Vu Thanh Nguyen;Van Tuan Le;Binh Thang Tran;Chinh Van Dang;Tinh Huu Ho;Minh Tu Nguyen;Thang Van Dinh;Van Trong Phan;Binh Thai Dang;Huynh Ho Ngoc Quynh;Minh Tran Le;Nhan Phuc Thanh Nguyen
    • Journal of Preventive Medicine and Public Health
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    • v.56 no.4
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    • pp.319-326
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    • 2023
  • Objectives: The coronavirus disease 2019 (COVID-19) pandemic has increased the workload of healthcare workers (HCWs), impacting their health. This study aimed to assess sleep quality using the Pittsburgh Sleep Quality Index (PSQI) and identify factors associated with poor sleep among HCWs in Vietnam during the COVID-19 pandemic. Methods: In this cross-sectional study, 1000 frontline HCWs were recruited from various healthcare facilities in Vietnam between October 2021 and November 2021. Data were collected using a 3-part self-administered questionnaire, which covered demographics, sleep quality, and factors related to poor sleep. Poor sleep quality was defined as a total PSQI score of 5 or higher. Results: Participants' mean age was 33.20±6.81 years (range, 20.0-61.0), and 63.0% were women. The median work experience was 8.54±6.30 years. Approximately 6.3% had chronic comorbidities, such as hypertension and diabetes mellitus. About 59.5% were directly responsible for patient care and treatment, while 7.1% worked in tracing and sampling. A total of 73.8% reported poor sleep quality. Multivariate logistic regression revealed significant associations between poor sleep quality and the presence of chronic comorbidities (odds ratio [OR], 2.34; 95% confidence interval [CI], 1.17 to 5.24), being a frontline HCW directly involved in patient care and treatment (OR, 1.59; 95% CI, 1.16 to 2.16), increased working hours (OR, 1.84; 95% CI,1.37 to 2.48), and a higher frequency of encountering critically ill and dying patients (OR, 1.42; 95% CI, 1.03 to 1.95). Conclusions: The high prevalence of poor sleep among HCWs in Vietnam during the COVID-19 pandemic was similar to that in other countries. Working conditions should be adjusted to improve sleep quality among this population.

Association of CAPN10 gene (rs3842570) polymorphism with the type 2 diabetes mellitus among the population of Noakhali region in Bangladesh: a case-control study

  • Munia Sultana;Md. Mafizul Islam;Md. Murad Hossain;Md. Anisur Rahman;Shuvo Chandra Das;Dhirendra Nath Barman;Farhana Siddiqi Mitu;Shipan Das Gupta
    • Genomics & Informatics
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    • v.21 no.3
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    • pp.33.1-33.11
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    • 2023
  • Type 2 diabetes mellitus (T2DM) is a multifactorial, polygenic, and metabolically complicated disease. A large number of genes are responsible for the biogenesis of T2DM and calpain10 (CAPN10) is one of them. The association of numerous CAPN10 genetic polymorphisms in the development of T2DM has been widely studied in different populations and noticed inconclusive results. The present study is an attempt to evaluate the plausible association of CAPN10 polymorphism SNP-19 (rs3842570) with T2DM and T2DM-related anthropometric and metabolic traits in the Noakhali region of Bangladesh. This case-control study included 202 T2DM patients and 75 healthy individuals from different places in Noakhali. A significant association (p < 0.05) of SNP-19 with T2DM in co-dominant 2R/3R vs. 3R/3R (odds ratio [OR], 2.7; p=0.0014) and dominant (2R/3R) + (2R/2R) vs. 3R/3R (OR, 2.47; p=0.0011) genetic models was observed. High-risk allele 2R also showed a significant association with T2DM in the allelic model (OR, 1.67; p=0.0109). The genotypic frequency of SNP-19 variants showed consistency with Hardy-Weinberg equilibrium (p > 0.05). Additionally, SNP-19 genetic variants showed potential associations with the anthropometric and metabolic traits of T2DM patients in terms of body mass index, systolic blood pressure, diastolic blood pressure, total cholesterol, and triglycerides. Our approach identifies the 2R/3R genotype of SNP-19 as a significant risk factor for biogenesis of T2DM in the Noakhali population. Furthermore, a large-scale study could be instrumental to correlate this finding in overall Bangladeshi population.

Analysis of Flood Level Changes by Creating Nature-based Flood Buffering Section (자연성기반 홍수완충공간 조성에 따른 홍수위 변화 분석)

  • Ryu, Jiwon;Ji, Un;Kim, Sanghyeok;Jang, Eun-kyung
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.43 no.6
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    • pp.735-747
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    • 2023
  • In recent times, the sharp increase in extreme flood damages due to climate change has posed a challenge to effectively address flood-related issues solely relying on conventional flood management infrastructure. In response to this problem, this study aims to consider the effectiveness of nature-based flood management approaches, specifically levee retreat and relocation. To achieve this, we utilized a 1D numerical model, HEC-RAS, to analyze the flood reduction effects concerning floodwater levels, flow velocities, and time-dependent responses to a 100-year frequency flood event. The analysis results revealed that the effect of creating a flood buffer zone of the nature-based solution extends from upstream to downstream, reducing flood water levels by up to 30 cm. The selection of the flow roughness coefficient in consideration of the nature-based flood buffer space creation characteristics should be based on precise criteria and scientific evidence because it is sensitive to the flood control effect analysis results. Notably, floodwater levels increased in some expanded floodplain sections, and the reduction in flow velocities varied depending on the ratio of the expanded cross-sectional area. In conclusion, levee retreat and floodplain expansion are viable nature-based alternatives for effective flood management. However, a comprehensive design approach is essential considering flood control effects, flow velocity reduction, and the timing of peak water levels. This study offers insights into addressing the challenges of climate-induced extreme flooding and advancing flood management strategies.

Life History of the Endangered Endemic Species, Rhynchocypris semotilus (Pisces: Cyprinidae) in the Songhyeoncheon (Stream), Korea (송현천에 서식하는 멸종위기어류 버들가지 Rhynchocypris semotilus (Pisces: Cyprinidae)의 생활사)

  • Myeong-Hun Ko;Mee-Sook Han ;Hyung Soo Seo
    • Korean Journal of Ichthyology
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    • v.35 no.3
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    • pp.160-170
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    • 2023
  • Life history of the endangered endemic species, Rhynchocypris semotilus, was investigated to obtain baseline data for its ecological characteristics in Songhyeoncheon, Hyeonnae-myeon, Goseong-gun, Gangwon-do, Korea from April to October, 2022. A total of 10 families and 18 species of fishes were collected from 4 survey stations, and R. semotilus was a subdominant species in the survey period (seven times). The main habitat of R. semotilus was the middle-upper stream of rock and boulder bottoms with aquatic plants and slow rapids and pools. The age groups for R. semotilus estimated by the frequency distribution of total length in spawning season (May) indicated the 4~12 mm is 0-year old, 32~49 mm is 1-year old, the 50~65 mm group is 2-years old, the 66~91 mm is 3-years old, and the 92~116 mm is more than 4-years old, and showed rapid growth from May to September. Total length range of female and male were the relatively similar, and sex ratio (♂/♀) was 0.78. The spawning period is from May to July (water temperature is 17 to 21℃), and gonad was developed more than three years old (more than TL 66 mm). In May, the gonadosomatic index (GSI) was 10.6±2.99% for females and 8.2±2.34% for males, fecundity was 6,830±1,943, and mature eggs size was 1.34±0.16 mm. Finally, life history characteristics of R. semotilus was discussed between the genus Rhynchocypris and Phoxinus species.

Automatic Detection of Type II Solar Radio Burst by Using 1-D Convolution Neutral Network

  • Kyung-Suk Cho;Junyoung Kim;Rok-Soon Kim;Eunsu Park;Yuki Kubo;Kazumasa Iwai
    • Journal of The Korean Astronomical Society
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    • v.56 no.2
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    • pp.213-224
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    • 2023
  • Type II solar radio bursts show frequency drifts from high to low over time. They have been known as a signature of coronal shock associated with Coronal Mass Ejections (CMEs) and/or flares, which cause an abrupt change in the space environment near the Earth (space weather). Therefore, early detection of type II bursts is important for forecasting of space weather. In this study, we develop a deep-learning (DL) model for the automatic detection of type II bursts. For this purpose, we adopted a 1-D Convolution Neutral Network (CNN) as it is well-suited for processing spatiotemporal information within the applied data set. We utilized a total of 286 radio burst spectrum images obtained by Hiraiso Radio Spectrograph (HiRAS) from 1991 and 2012, along with 231 spectrum images without the bursts from 2009 to 2015, to recognizes type II bursts. The burst types were labeled manually according to their spectra features in an answer table. Subsequently, we applied the 1-D CNN technique to the spectrum images using two filter windows with different size along time axis. To develop the DL model, we randomly selected 412 spectrum images (80%) for training and validation. The train history shows that both train and validation losses drop rapidly, while train and validation accuracies increased within approximately 100 epoches. For evaluation of the model's performance, we used 105 test images (20%) and employed a contingence table. It is found that false alarm ratio (FAR) and critical success index (CSI) were 0.14 and 0.83, respectively. Furthermore, we confirmed above result by adopting five-fold cross-validation method, in which we re-sampled five groups randomly. The estimated mean FAR and CSI of the five groups were 0.05 and 0.87, respectively. For experimental purposes, we applied our proposed model to 85 HiRAS type II radio bursts listed in the NGDC catalogue from 2009 to 2016 and 184 quiet (no bursts) spectrum images before and after the type II bursts. As a result, our model successfully detected 79 events (93%) of type II events. This results demonstrates, for the first time, that the 1-D CNN algorithm is useful for detecting type II bursts.

Assessment of the Non-point Source Pollution Control Strategies for Water Quality Improvement in the Haeban Stream of West Nakdong River Watershed (서낙동강 유역 해반천의 수질 개선을 위한 비점오염관리대책 효과 분석)

  • Yejin Kim
    • Journal of Wetlands Research
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    • v.26 no.1
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    • pp.1-9
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    • 2024
  • In this study, a HSPF model was developed to simulate runoff and water quality in the Haebancheon watershed, which has a high land area ratio and population density among the West Nakdong River watersheds. Various non-point source pollution control strategies were applied, and the reduction in pollutant loads and the exceedance rate of water quality standards were analyzed. The scenarios included basic road cleaning for reducing pollutant loads, runoff reduction measures considering extensive low-impact development techniques, and inflow reduction measures to mitigate non-point source pollution entering the river. In the first step, practical conditions such as the number of vehicles for road cleaning in Kimhae City were considered, while for the second and third steps, it was assumed that 50% of the applicable land use area was used to be applicable for the LID techniques. As a result of applying all three measures, it was analyzed that the BOD pollutant load could be reduced by 58.28%, T-N by 58.49%, and T-P by 51.56%. Furthermore, the 60th percentile of water quality measurements accumulated over 5 years was set as the target water quality, and a flow-duration curve was constructed. The exceedance rate of the flow-duration curve before and after applying non-point source pollution reduction measures was analyzed. As a result, for BOD, the exceedance rate decreased from 41.57% before applying the measures to 16.32% after, showing a 25.25% reduction in the exceedance rate. For T-N, the exceedance rate decreased significantly from 40.31% before the measures to 22.84% after, and for T-P, it decreased significantly from 62.43% to 27.22%.

Noise-Biased Compensation of Minimum Statistics Method using a Nonlinear Function and A Priori Speech Absence Probability for Speech Enhancement (음질향상을 위해 비선형 함수와 사전 음성부재확률을 이용한 최소통계법의 잡음전력편의 보상방법)

  • Lee, Soo-Jeong;Lee, Gang-Seong;Kim, Sun-Hyob
    • The Journal of the Acoustical Society of Korea
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    • v.28 no.1
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    • pp.77-83
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    • 2009
  • This paper proposes a new noise-biased compensation of minimum statistics(MS) method using a nonlinear function and a priori speech absence probability(SAP) for speech enhancement in non-stationary noisy environments. The minimum statistics(MS) method is well known technique for noise power estimation in non-stationary noisy environments. It tends to bias the noise estimate below that of true noise level. The proposed method is combined with an adaptive parameter based on a sigmoid function and a priori speech absence probability (SAP) for biased compensation. Specifically. we apply the adaptive parameter according to the a posteriori SNR. In addition, when the a priori SAP equals unity, the adaptive biased compensation factor separately increases ${\delta}_{max}$ each frequency bin, and vice versa. We evaluate the estimation of noise power capability in highly non-stationary and various noise environments, the improvement in the segmental signal-to-noise ratio (SNR), and the Itakura-Saito Distortion Measure (ISDM) integrated into a spectral subtraction (SS). The results shows that our proposed method is superior to the conventional MS approach.

Analysis of Thyroid Nodule Prevalence and Related Factors in Adult Men and Women (성인 남녀에서 갑상선결절 유병률과 관련 인자 분석)

  • Ye-Eun Oh;Jung-Hoon Kim;Sung-Hee Yang
    • Journal of the Korean Society of Radiology
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    • v.18 no.4
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    • pp.373-381
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    • 2024
  • This study aimed to identify and assess the influence of risk factors on the frequency of thyroid nodules diagnosed through ultrasonography among adults visiting for health screenings. The study analyzed 210 adult men and women who underwent thyroid ultrasound at J Hospital in Busan. The differences in variables were analyzed using Chi-square and independent t-tests, and risk ratios were calculated using binary logistic regression. The results showed significant differences in gender, age, T3, Free T4, Uric acid, T-chol, HDL-C and LDL-C. The risk ratios for risk factors indicated that women had a 2.42 times higher risk compared to men, and the age groups 41-50 and over 61 had risks 2.32 and 2.22 times higher, respectively compared to those under 40. Conversely, and increase in T3 and Free T4 levels was associated with a decreased risk of 0.12 and 0.86 times, respectively, while lipid levels had negligible influence. Based on these findings, it is concluded that regular ultrasonography monitoring, rather than solely relying on biochemical markers, is crucial for the early detection and management of thyroid nodules.

Analysis of Industry-academia-research Cooperation Networks in the Field of Artificial Intelligence (인공지능 산·학·연 협력 공동연구 네트워크 분석)

  • Junghwan Lee;Seongsu Jang
    • Information Systems Review
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    • v.26 no.2
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    • pp.155-167
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    • 2024
  • This study recognized the importance of joint research in the field of artificial intelligence and analyzed the characteristics of the industry-academic-research technological cooperation ecosystem focusing on patents from the perspective of the Techno-Economic Segment (TES). To this end, economic entities such as companies, universities, and research institutes within the ecosystem were identified for 7,062 joint research projects out of 113,289 artificial intelligence patents over the past 10 years filed in IP5 countries since 2012. Next, this study identified the topics of technological cooperation and the characteristics of cooperation. As a result of the analysis, technological cooperation is increasing, and the frequency of all types of cooperation was high in industry-to-industry (40%) and industry-to-university (25.2%) relationships. Here, this study confirmed that the role of universities is being strengthened, with an increase in the ratio of companies with strengths in funding and analytical data, industry and universities with excellent research personnel (9.8%), and cooperation between universities (1.9%). In addition, as a result of identifying collaborative patent research areas of interest and collaborative relationships through topic modeling and network analysis, overall similar research interests were derived regardless of the type of cooperation, and applications such as autonomous driving, edge computing, cloud, marketing, and consumer behavior analysis were derived. It was confirmed that the scope of research was expanding, collaborating entities were becoming more diverse, and a large-scale network including Chinese-centered universities was emerging.