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Naser, TarekMohamed,Yoshimura, Yuji,Sekiguchi, Kazuhiko,Wang, Qingyue,Sakamoto, Kazuhiko Korean Society for Atmospheric Environment 2008 Asian Journal of Atmospheric Environment (AJAE) Vol.2 No.2
The chemical compositions of $PM_{2.5}$ and $PM_{10}$ and associated high-molecular-weight polycyclic aromatic hydrocarbons (PAHs) were investigated during winter and summer at a roadside and an urban background site in Saitama, Japan. The average concentrations of $PM_{2.5}$ exceeded the United States Environmental Protection Agency standards during both periods. Carbonaceous components were abundant in both the observed and calculated (by means of a mass closure model) chemical composition of $PM_{2.5}$. Traffic-related pollutants (elemental carbon and high-molecular-weight PAHs) were strongly associated with $PM_{2.5}$ rather than with larger particles. The mass concentrations of $PM_{2.5}$, as well as those of EC and PAHs associated with the particles, at the two sites were strongly correlated. Comparison of our data with source profile ratios indicates that diesel-powered vehicles were probably the main source of the measured PAHs. The PAHs concentrations were affected by meteorological conditions during our study. Our results highlight the need for the establishment of standards for $PM_{2.5}$ in Japan.
Concepts and applications for integrating Unmanned Aerial Vehicles (UAV's) in disaster management
Naser, M.Z.,Kodur, V.K. Techno-Press 2020 Advances in computational design Vol.5 No.1
Over the past few decades, the impact of natural, manmade and natech (natural hazard triggering technological disasters) disasters has been devastating, affecting over 4.4 billion people. In spite of recent technological advances, the increasing frequency and intensity of natural disasters and the escalation of manmade threats is presenting a number of challenges that warrant immediate attention. This paper explores the integration of drones or Unmanned Aerial Vehicles (UAV's) into infrastructure monitoring and post-disaster assessment. Through reviewing some of the recent disasters, effectiveness of utilizing UAV's in different stages of disaster life cycle is demonstrated and needed steps for successful integration of UAV's in infrastructure monitoring, hazard mitigation and post-incident assessment applications are discussed. In addition, some of the challenges associated with implementing UAV's in disaster monitoring, together with research needs to overcome associated knowledge gaps, is presented.
Naser Mohammadzadeh,Myong-In Lee,Ganghan Kim,Seunghee Lee 한국기상학회 2021 한국기상학회 학술대회 논문집 Vol.2021 No.10
Local air quality in one region is always affected by many factors such as local and transported sources of air pollutions. South Korea as a developed country has faced this issue. Ulsan which is located in the southeast of South Korea is a metropolitan city with a coastal line in the east and huge mountains in the west and also has lots of variations in topography, always suffer from regional and transboundary air pollutions. To analyze the aerosol characteristics over Ulsan, the optical properties of the aerosol layers in the troposphere were observed using a ground-based LIDAR (Light Detection And Ranging) located in the Ulsan National Institute of Science and Technology (UNIST), South Korea (129°E, 35°N) in March 2015-December 2020. In this study we have used two wavelengths (532 nm and 1064 nm) Depolarization channels of L2S-SM II Lidar and Range Corrected Signal (RC) seasonally and diurnally to reveal variation of air quality. The ratio of Depolarization Ratio (DR) between the 1064 nm and the 532 nm dependent on the mixing status of spherical particle and dust article. For ground observation we used 13 years air quality data. The atmospheric boundary layer height (ABLH) was mainly at an altitude of 1km. The depolarization ratio and range corrected signal was higher in spring-winter than in summer-autumn, which means that we have a huge amount of mineral dust in these times. We found that most of the high range of the depolarization ratio is almost focused on later in the morning to earlier in the night.
Infected Part Detection based on Affinity Propagation Clustering
Naser S. A. Abusulaiman,Wesam M Ashour 보안공학연구지원센터 2016 International Journal of Software Engineering and Vol.10 No.7
Manual identification of defected objects consumes time and effort. These leading researchers try to find out an automatic infected objects detection systems to reduce these denigrate issues, which affects trade business fields, as an example, infected fruits or vegetables in agricultural field. This paper presents an image segmentation method based on affinity propagation (AP) clustering algorithm for detecting infected part in fruits or vegetables. Results show that this methodology is good comparing to K-means algorithm, which gives good results. Nevertheless, AP outperforms that does not need pre-specify cluster number, which is needed in K-means. Some deficiencies occur when using traditional AP, but using sparse version of AP overcomes most of these deficiencies. Extra feature of AP that it works better than K-means as cluster number is increasing or complexity of infected objects is amplifying. AP works better than K-means in widespread and various sized defected regions. Another contribution in this paper, choosing adequate color space provides preferable results. Experimental results clarify that NTSC or YCbCr color space are more stable to act as image color space since they enhance Silhouette values rhythmically. However, methodology presented in this paper needs to collaborate with other image techniques, as indexed color techniques and lossless compression methods, to overcome operation speed problem. In addition, more enhancements are anticipated when using adaptive AP, as it introduces solutions through adaptive damping, adaptive preference scanning and adaptive escaping oscillations.
Selective production of propylene from methanol over nanosheets of metal-substituted MFI zeolites
Naser Hadi,Reza Alizadeh,Aligholi Niaei 한국공업화학회 2017 Journal of Industrial and Engineering Chemistry Vol.54 No.-
The nanosheets of M-substituted (M: Mn, Ce, W) MFI zeolites were successfully synthesized via hydrothermal method. The catalysts were satisfactorily characterized by different techniques and the well synthesized nanostructures were approved. The prepared catalysts were examined in methanol to propylene process and showed improved performance compared to the conventional H-ZSM-5. The Wsubstituted MFI nanosheets productively represented the best performance with complete methanol conversion, propylene selectivity of 55.70%, total selectivity to light olefins of 88.04% and catalytic lifetime of 81 h. Furthermore, TGA and BET analyses were conducted to characterize the coke deposition. The lowest coke was detected on W-substituted MFI nanosheets.