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대기환경지수 기반 2016~2022년 시도별 대기오염물질의 농도 변화 분석
박준흥(Junheung Park),김은혜(Eunhye Kim),강윤희(Yoon-Hee Kang),김순태(Soontae Kim) 한국대기환경학회 2024 한국대기환경학회지 Vol.40 No.2
In this study, we analyzed changes in criteria air pollutant concentrations across provinces using data from the urban air quality monitoring network spanning 2016 to 2022. We also examined shifts in the Air Quality Index (AQI) from a health impact perspective. Over the seven-year period, national average concentrations of SO₂, NO₂, CO, PM<SUB>2.5</SUB>, and PM<SUB>10</SUB> decreased by 41.1% (1.9 ppb), 27.4% (6.2 ppb), 19.4% (96.6 ppb), 32.9% (8.6 μg/m³), and 32.8% (15.4 μg/m³), respectively. However, O₃ concentration increased by 6.4% (3.1 ppb). After excluding the impacts of foreign emissions, the impacts of domestic emissions resulted in concentration decreases of 24.8% for SO₂ and increases of 5.1% for CO. O₃ concentrations rose in most provinces, particularly in cities with high NOx emissions, suggesting reduced NO titration due to lowered NOx emissions. From the AQI perspective, the most significant air quality improvement during the study was for PM<SUB>2.5</SUB>, followed by PM<SUB>10</SUB> and NO₂. In general, PM<SUB>2.5</SUB> showed the highest daily AQI in winter and O₃ in summer during 2016~2018. However, with worsening O₃ in 2020~2022, O₃ determined the highest AQI on more days. Notably, O₃ increase was pronounced in densely populated areas like the Seoul Metropolitan Area, warranting further research on health impact changes, including the population-weighted concentrations. Based on AQI assessments, PM<SUB>2.5</SUB> and O₃ require urgent reduction efforts. Considering the nature of secondary air pollutants, future air quality management in South Korea should prioritize gaining scientific understanding of their source-receptor relationship to develop cost effective control strategies, alongside precursor emission controls.
박승민,고광은,박준흥,심귀보 제어·로봇·시스템학회 2011 International Journal of Control, Automation, and Vol.9 No.5
Many real-world problems involve simultaneous optimization of several incommensurable and often competing objectives. In the search for solutions to multi-objective optimization problems (MOPs), we find that there is no single optimum but rather a set of optimums known as the “Pareto optimal set”. Co-evolutionary algorithms are well suited to optimization problems which involve several often competing objectives. Co-evolutionary algorithms are aimed at evolving individuals through in-dividuals competing in an objective space. In order to approximate the ideal Pareto optimal set, the search capability of diverse individuals in an objective space can be used to determine the performance of evolutionary algorithms. Non-dominated memory and Euclidean distance selection mechanisms for co-evolutionary algorithms have the goal of overcoming the limited search capability of diverse individuals in the population space. In this paper, we propose a method for maintaining population diversity in game model-based co-evolutionary algorithms, and we evaluate the effectiveness of our approach by comparing it with other methods through rigorous experiments on several MOPs.
염홍기,박승민,박준흥,심귀보 제어·로봇·시스템학회 2011 International Journal of Control, Automation, and Vol.9 No.3
To improve the performance of classification algorithms, we proposed a new variance-considered machine (VCM) classification algorithm in a previous study. The study showed theoretically that VCMs have lower error probabilities than SVMs. The purpose of this paper is to experimentally demonstrate the superiority of VCMs. Therefore, we verified our proposal with several case ex-periments using data following a Gaussian distribution with different variances and prior probabilities. To estimate performance, the experiment for each case was executed 1000 times and the error rates were averaged for accuracy. The data of each experiment have different distances between means of data, and different ratios between training data and testing data. Thus, we proved that the error rate of VCMs is lower than the error rate of SVMs, although their performances were not similar in each case. Consequently, we expect that VCMs will be applied to a variety fields.
폐활성슬러지의 호기성 소화 처리시 상징액특성에 관한 연구
고광백,임성균,박준흥,정연규 연세대학교 산업기술연구소 1993 논문집 Vol.25 No.2
The main aim of this treatise is to put on observation about the supernatants during aerobic digestion, especially, the effects of pH and different solid levels on the characteristics of supernatants. Laboratory batch experiments were carried out at 20℃ and pH 7.5±0.2 on the aerobic digesion of waste activated sludge at different solid levels. As the results, this research could show that NH₄-N concentration was reduced at the fixed pH 7.5, that soluble nutrients and organics were smaller than in the general case of anaerobic digesion, and that high solid level can make supernatants poor.
압축착화 디젤엔진의 모사 EGR 시스템에 의한 소음 특성 변화 분석
박범 ( B Park ),윤성준 ( S Yoon ),박성욱 ( S Park ),박준흥 ( J Park ) 한국분무공학회 2014 한국액체미립화학회지 Vol.19 No.4
Experimental study was conducted to investigate the effect of EGR(exhaust gas recirculation) on engine noise using single cylinder combustion ignition engine. Under constant engine rotary speed of 1200 RPM, 8 mg fuel quantity was injected with 15, 18 and 21% of oxygen ratio and 1400 bar of injection pressure. Using the in-cylinder pressure data acquired by a piezoelectric transducer, the engine performance parameters were calculated. Radiated engine noise measured for 10 seconds was analyzed using spectral characteristics and sound quality metrics such as loudness, sharpness, roughness. From the obtained engine performance parameters and sound quality metrics, effect of oxygen ratio of the premixed air, start of injection timing on frequency characteristic and sound quality metrics were analyzed. Correlation analysis was conducted between MPRR(maximum pressure rise rate), RI(ringing intensity) and sound quality metrics. RI was identified as the most important factor having influence on the sound quality metrics.