• Title/Summary/Keyword: 연속예측

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Decomposition of Sulfamethoxazole by Catalytic Wet Peroxide Oxidation (촉매습식과산화(CWPO)를 이용한 설파메톡사졸의 분해)

  • Kim, Dul Sun;Lee, Dong-Keun;Kim, Jin Sol
    • Clean Technology
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    • v.24 no.4
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    • pp.293-300
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    • 2018
  • Sulfamethoxazole (SMX) is sulfaamide-based synthetic antibiotics, which are widely prescribed pharmaceutical compound to treat bacterial infections in both human and animals. Most of them are not completely decomposed as refractory substances. The environmental impact of pharmaceuticals as emerging contaminants has generated severe concerns. In this study, catalytic wet peroxide oxidation (CWPO) of SMX was carried out with $Cu/Al_2O_3$ catalyst and investigated the optimum reaction conditions of temperature, dosage of catalyst and concentration of $H_2O_2$ to completely decompose the SMX. It was observed that SMX was completely decomposed within 20 min using 0.79 mM $H_2O_2$ and 6 g $Cu/Al_2O_3$ catalyst at 1 atm and $40^{\circ}C$, but SMX was not fully mineralized and converted to intermediates as hydroylated-SMX, sulfanilic acid, 4-aminobenzenesulfinic acid and nitrobenzene. After that these are completely mineralized through organic acid. We proposed the decomposition reaction path ways of SMX by analyzing the behavior of these intermediates. To investigate the durability of heterogeneous catalyst, decomposition of SMX was observed by continuously recycling catalysts. When the heterogeneous catalyst of 10 wt% $Cu/Al_2O_3$ was continuously reused 5 times, decomposition of SMX was a little lowered, but the activity of catalyst was overall very stable.

Predictors of Intention to Work among People with Disabilities who Maintain Economic Inactivity (비경제활동 유지 장애인의 취업의사 예측변인 탐색)

  • An, Yeji;Ji, Eun
    • 재활복지
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    • v.21 no.3
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    • pp.65-84
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    • 2017
  • This study identified predictors of intention to work among people with disabilities who maintain economic inactivity for two successive years by analyzing a total of 2,255 Participants in the 2014 data of the Panel Survey of Employment for the Disabled (PSED) with through $X^2$, t test, logistic regression. To explore factors affecting intention to work among people with disabilities who maintain economic inactivity, this study hypothesized the effectiveness of variables of demographic, disability, human resources, psycho-social factors based on previous studies. The analysis showed that male, spouse-being, low income status out of demographic variables were related to high probability of having intention to work among people with disabilities who maintain economic inactivity. In case of disability variables, experiencing disability-related discrimination significantly predicted the probability of having intention to work. However, the relationship between disability-related discrimination experiences and high intention to work needs to be viewed as correlated rather than cause-and-effect.In addition, literacy related to computer use/English proficiency/interpersonal and adaptation skills(human resources), experiences of vocational rehabilitation services (human resources), self-esteem (psycho-social) significantly predicted the probability of having intention to work among people with disabilities who maintained economic inactivity. Based on these results, support services for females with disabilities, effective rehabilitation programs of improving literacy related to computer use/English proficiency/interpersonal and adaptation skills and self-esteem, general expansion of vocational rehabilitation services for people with disabilities are suggested.

Seismic Fragility Analysis of Rahmen-type Continuous Bridge Supported by High Piers (고교각으로 지지된 라멘형 연속교의 지진취약도 분석)

  • Kang, Pan-Seung;Hong, Ki-Nam;Yeon, Yeong-Mo
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.23 no.5
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    • pp.84-95
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    • 2019
  • This paper reports the process of seismic fragility analysis for the rahman-type continuous bridge system. The target structure was the five span highway bridge with maximum pier hight of 72m. OpenSees software was used for the nonlinear time history analysis. In this study, 50 ground motions are considered for nonlinear time history analysis. For each ground motion, PGA was scaled from 0.1g to 2.0g with intervals of 0.1g in order to consider a wide range of the seismic intensity measure. In addition, yield displacement and ultimate displacement of each pier were calculated through section analysis. Based on the result of non linear time history analysis and section analysis, damage condition of target bridge was classified according to the definition of damage condition proposed by Barbat et al. As a result, it was predicted that Extensive Damage occurred at P1 when 0.731 g earthquake occurred in the longitudinal direction. Based on the seismic fragility analysis results, it is found that the probability of occurrence of Extensive Damage in the 4,800 - year period earthquake was about 4.2%. Therefore the target bridge has enough safety for earthquake.

A Study of the Generational Cleavage in Welfare Attitudes: Differentiating Cohort Effect from Age Effect and Finding Its Factors (복지태도의 세대 간 균열 연구: 연령효과와 분리된 코호트 효과와 그 요인의 분석)

  • Jo, Nam Kyoung
    • 한국사회정책
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    • v.24 no.2
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    • pp.245-275
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    • 2017
  • It is attempted here to explain change in welfare attitudes for two decades in 10 countries with the cohort effect, especially differences in societal values between generations. It was found that for the last 20 years pro-welfare attitudes of the public has been strengthened, on which the generation has impact, more by the cohort effect than by the age effect, and that the Millennials/Y-generation are the strongest supporters for the state welfare. Value-differences between cohorts, as a background factor for the cohort effect on welfare attitudes, are clear but show a kind of linear trend from the older to the younger cohorts. As for the cohort effect on welfare attitudes, it is expected, at least for the short-term future, in the direction toward supporting the expansion of the state welfare. Korean welfare attitudes show an exceptional pattern - preferring income inequality as incentives, and at the same time, the expansion of governmental welfare responsibility, which echoes recent arguments of contradictoriness and non-class-orientedness of Korean welfare attitudes. Especially, Korean Millennials/Y-G shows this contradictory welfare attitudes the most strongly, which is unique between 10 countries in this study, implying their fierce competition is being internalized. It is expected that the contradictoriness of Korean welfare attitudes may limit its possibility to back up welfare expansion in Korea.

Deep Learning based Fish Object Detection and Tracking for Smart Aqua Farm (스마트 양식을 위한 딥러닝 기반 어류 검출 및 이동경로 추적)

  • Shin, Younghak;Choi, Jeong Hyeon;Choi, Han Suk
    • The Journal of the Korea Contents Association
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    • v.21 no.1
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    • pp.552-560
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    • 2021
  • Currently, the domestic aquaculture industry is pursuing smartization, but it is still proceeding with human subjective judgment in many processes in the aquaculture stage. The prerequisite for the smart aquaculture industry is to effectively grasp the condition of fish in the farm. If real-time monitoring is possible by identifying the number of fish populations, size, pathways, and speed of movement, various forms of automation such as automatic feed supply and disease determination can be carried out. In this study, we proposed an algorithm to identify the state of fish in real time using underwater video data. The fish detection performance was compared and evaluated by applying the latest deep learning-based object detection models, and an algorithm was proposed to measure fish object identification, path tracking, and moving speed in continuous image frames in the video using the fish detection results. The proposed algorithm showed 92% object detection performance (based on F1-score), and it was confirmed that it effectively tracks a large number of fish objects in real time on the actual test video. It is expected that the algorithm proposed in this paper can be effectively used in various smart farming technologies such as automatic feed feeding and fish disease prediction in the future.

A preliminary study for numerical and analytical evaluation of surface settlement due to EPB shield TBM excavation (토압식 쉴드 TBM 굴착에 따른 지반침하 거동 평가에 관한 해석적 기초연구)

  • An, Jun-Beom;Kang, Seok-Jun;Kim, Jung Joo;Kim, Kyoung Yul;Cho, Gye-Chun
    • Journal of Korean Tunnelling and Underground Space Association
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    • v.23 no.3
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    • pp.183-198
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    • 2021
  • The EPB (Earth Pressure Balanced) shield TBM method restrains the ground deformation through continuous excavation and support. Still, the significant surface settlement occurs due to the ground conditions, tunnel dimensions, and construction conditions. Therefore, it is necessary to clarify the settlement behavior with its influence factors and evaluate the possible settlement during construction. In this study, the analytical model of surface settlement based on the influence factors and their mechanisms were proposed. Then, the parametric study for controllable factors during excavation was conducted by numerical method. Through the numerical analysis, the settlement behavior according to the construction conditions was quantitatively derived. Then, the qualitative trend according to the ground conditions was visualized by coupling the numerical results with the analytical model of settlement. Based on the results of this study, it is expected to contribute to the derivation of the settlement prediction algorithm for EPB shield TBM excavation.

A Resource Management Scheme Based on Live Migrations for Mobility Support in Edge-Based Fog Computing Environments (에지 기반 포그 컴퓨팅 환경에서 이동성 지원을 위한 라이브 마이그레이션 기반 자원 관리 기법)

  • Lim, JongBeom
    • KIPS Transactions on Software and Data Engineering
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    • v.11 no.4
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    • pp.163-168
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    • 2022
  • As cloud computing and the Internet of things are getting popular, the number of devices in the Internet of things computing environments is increasing. In addition, there exist various Internet-based applications, such as home automation and healthcare. In turn, existing studies explored the quality of service, such as downtime and reliability of tasks for Internet of things applications. To enhance the quality of service of Internet of things applications, cloud-fog computing (combining cloud computing and edge computing) can be used for offloading burdens from the central cloud server to edge servers. However, when devices inherit the mobility property, continuity and the quality of service of Internet of things applications can be reduced. In this paper, we propose a resource management scheme based on live migrations for mobility support in edge-based fog computing environments. The proposed resource management algorithm is based on the mobility direction and pace to predict the expected position, and migrates tasks to the target edge server. The performance results show that our proposed resource management algorithm improves the reliability of tasks and reduces downtime of services.

A Comparative Study on Seafarers' Industrial Accident Compensation System - Focusing on the German Legislation - (선원재해보상에 관한 비교법적 연구 - 독일의 법제를 중심으로 -)

  • Park, Jun-Mo;Park, Sung-Ho
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.28 no.4
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    • pp.567-576
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    • 2022
  • Seafarers are exposed to various unpredictable maritime risks due to the spatial specificity of the working environment of the sea; thus, sufficient compensation for injured crewmembers is needed. However, Korea does not provide such compensation. Therefore, this study attempted to examine the Maritime Labor Act and the Industrial Accident Insurance Act of Germany, an advanced European social insurance country, and derive implications compared to Korea. First, we investigated how compensations are managed by a public institution in Germany and by shipowners in Korea. Second, regarding the contents of accident compensation, Germany does not only provide continuous treatment and care through various support systems, but also operates various programs to enable a return to ship work. In contrast, Korea has a temporary compensation system that allows shipowners to avoid liability for accident compensation, which is disadvantageous to shipwrecked seafarers. Finally, in Germany, workers' compensation insurance is public, judged considering the origin of work, whereas in Korea, it is determined by shipowners or insurance companies. Therefore, it is necessary to establish a public institution in charge of crew accident compensation to ensure proper compensation for crewmembers in Korea and to improve the Seafarers Act or system to provide compensation for additional medical care, disability pension, and rehabilitation benefits.

A Study on the Numerical Analysis Methods for Predicting Strength Test Result of Box Girder under Bending Moment (휨 모멘트를 받는 박스거더 구조 강도 실험에 대한 수치해석 방법에 관한 연구)

  • Myung-Su Yi;Joo-Shin Park
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.29 no.5
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    • pp.488-496
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    • 2023
  • Ship and bridge structures are a type of long box-shaped structure, and resistance to vertical bending moment is a key factor in their structural design. In particular, because box girders are repeatedly exposed to irregular wave loads for a long time, the continuous collapse behavior of structural members must be accurately predicted. In this study, plastic collapse behavior, including buckling according to load changes of the box girder receiving pure bending moments, was analyzed using a numerical analysis method. The analysis targets were selected as three box girders used in the Gordo experiment. The cause of the difference was considered by comparing the results of the structural strength experiment with those of non-linear finite element analysis. This study proposed a combination of the entire and local sagging shape to reflect the effect of the initial sagging caused by welding heat that is inevitably used to manufacture carbon steel materials. The procedures reviewed in the study and the contents of the initial sagging configuration can be used as a good guide for analyzing the final strength of similar structures in the future.

Trace-based Interpolation Using Machine Learning for Irregularly Missing Seismic Data (불규칙한 빠짐을 포함한 탄성파 탐사 자료의 머신러닝을 이용한 트레이스 기반 내삽)

  • Zeu Yeeh;Jiho Park;Soon Jee Seol;Daeung Yoon;Joongmoo Byun
    • Geophysics and Geophysical Exploration
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    • v.26 no.2
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    • pp.62-76
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    • 2023
  • Recently, machine learning (ML) techniques have been actively applied for seismic trace interpolation. However, because most research is based on training-inference strategies that treat missing trace gather data as a 2D image with a blank area, a sufficient number of fully sampled data are required for training. This study proposes trace interpolation using ML, which uses only irregularly sampled field data, both in training and inference, by modifying the training-inference strategies of trace-based interpolation techniques. In this study, we describe a method for constructing networks that vary depending on the maximum number of consecutive gaps in seismic field data and the training method. To verify the applicability of the proposed method to field data, we applied our method to time-migrated seismic data acquired from the Vincent oilfield in the Exmouth Sub-basin area of Western Australia and compared the results with those of the conventional trace interpolation method. Both methods showed high interpolation performance, as confirmed by quantitative indicators, and the interpolation performance was uniformly good at all frequencies.