• Title/Summary/Keyword: source environment

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A Study of Incremental and Multiple Entry Support Parser for Multi View Editing Environment (다중 뷰 편집환경을 위한 점진적 다중진입 지원 파서에 대한 연구)

  • Yeom, Saehun;Bang, Hyeja
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.14 no.3
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    • pp.21-28
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    • 2018
  • As computer performance and needs of user convenience increase, computer user interface are also changing. This changes had great effects on software development environment. In past, text editors like vi or emacs on UNIX OS were the main development environment. These editors are very strong to edit source code, but difficult and not intuitive compared to GUI(Graphical User Interface) based environment and were used by only some experts. Moreover, the trends of software development environment was changed from command line to GUI environment and GUI Editor provides usability and efficiency. As a result, the usage of text based editor had decreased. However, because GUI based editor use a lot of computer resources, computer performance and efficiency are decreasing. The more contents are, the more time to verify and display the contents it takes. In this paper, we provide a new parser that provide multi view editing, incremental parsing and multiple entry of abstract syntax tree.

The Effect of Aircraft Traffic Emissions on the Soil Surface Contamination Analysis around the International Airport in Delhi, India

  • Ray, Sharmila;Khillare, P.S.;Kim, Ki-Hyun
    • Asian Journal of Atmospheric Environment
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    • v.6 no.2
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    • pp.118-126
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    • 2012
  • To investigate the effect of aircraft traffic emissions on soil pollution, metal levels were analyzed for 8 metals (Fe, Cr, Pb, Zn, Cu, Ni, Mn and Cd) from the vicinity of the Indira Gandhi International (IGI) airport in Delhi, India. The texture of the airport soil was observed to be sandy. Among the metals, Cd showed minimum concentration ($2.07{\mu}g\;g^{-1}$), while Fe showed maximum concentration ($4379{\mu}g\;g^{-1}$). The highest metal accumulation was observed at the landing site. Significant correlations were observed between metals and different textures (sand, silt, and clay) as well as with organic carbon (OC). The results indicate that grain size play a major role in OC retention in soil and subsequently helps in adsorption of metals in soil. M$\ddot{u}$ller's geoaccumulation index (I-geo) showed that airport soil was contaminated due to Cd and Pb with the pollution class 2 and 1, respectively. Pollution load index of the airport site was 1.34-3 times higher than the background site. The results of factor analysis suggested that source of the soil metal is mainly from natural weathering of soil, aircraft exhaust, and automobile exhaust from near by area. With respect to Dutch target values, the airport soils showed ~3 times higher Cd concentration. The study highlighted the future risk of enhanced metal pollution with respect to Cd and Pb due to aircraft trafficking.

Sterols as Indicators of Fecal Pollution in Sediments from Shellfish Farming Areas (Yeoja Bay and Gangjin Bay) of Korea (분변계 스테롤을 이용한 남해안 패류양식어장(여자만과 강진만)의 퇴적물내 분변오염도 평가)

  • Choi, Minkyu;Lee, In-Seok;Hwang, Dong-Woon;Kim, Hyung Chul;Kim, Ye-Jung;Kim, Sook-Yang
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.46 no.4
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    • pp.437-444
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    • 2013
  • Eight fecal sterols were analyzed in surface sediments collected from shellfish farming areas in Yeoja Bay and Gangjin Bay, Korea, to evaluate sewage-derived fecal pollution. The concentrations of coprostanol, a good marker of sewage-derived organic contamination, in sediments were in the range of 10-530 ng/g-dry in Yeoja Bay, and 10-190 ng/g-dry in Gangjin Bay. Coprostanol levels were markedly higher in the inner bay than in the outer bay. These levels were lower than those reported in urbanized bays in Korea, however, they were comparable to levels in other shellfish farming areas including Gamak Bay. A multivariate analysis of the ratios of other sterols suggested that the sterols originated from sewage and plankton/benthos. Sewage was the dominant source at stations located close to the river mouth and wastewater treatment plant (WWTP) outfalls, and plankton/benthos was the primary source in the outer bay. These results suggest that management of point sources, e.g., WWTP as well as non-point sources, e.g., riverine inputs is important for improving the water quality in Yeoja Bay and Gangjin Bay.

Analysis and Comparison about NPS of Plane Field and Alpine Field (평지밭과 고랭지밭의 비점오염에 대한 분석과 비교)

  • Choi, Yong-hun;Won, Chul-hee;Seo, Ji-yeon;Shin, Min-Hwan;Yang, Hee-jeong;Lim, Kyoung-jae;Choi, Joong-dae
    • Journal of Korean Society on Water Environment
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    • v.25 no.5
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    • pp.682-688
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    • 2009
  • A plane field and a sloped field located at low-land plane and alpine areas, respectively, were monitored with respect to runoff, water quality and fertilizer uses from March to December, 2008. Runoff volume and Non-Point Source (NPS) loads were estimated and analyzed with respect to fertilizer uses. Total TN and TP loads from the sloped field were higher than those from plane field because of larger chemical uses in the alpine field than in the plane field. Organic matter load from plane field was higher than that from sloped field because more organic compost was applied to plane field than to sloped field. Event Mean Concentration (EMC) of measured water quality indices were relatively higher in both fields. Organic matter load per 1 mm rainfall were higher in plane field and TN and TP loads per 1 mm rainfall were higher in sloped field than those in respective comparing field. It was concluded that the type and application method of fertilizer could play an important role in the estimation of NPS pollution loads and the development of Best Management Practices (BMPs). However, it was recommended that long-term monitoring is necessary to better describe the relationship between fertilizer uses and water quality from agricultural fields because numerous natural and management factors other than fertilizer also affect runoff quality.

Characteristics of Non-point Source Pollutants Runoff from Agricultural and Industrial Areas in Lake Sihwa Watershed (강우시 시화호 농촌 및 공단유역의 비점오염물질 유출특성)

  • Kim, Sea-won;Choi, Kwangsoon;Kim, Dong-sup;Lee, Mikyung
    • Journal of Korean Society on Water Environment
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    • v.25 no.5
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    • pp.768-777
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    • 2009
  • The characteristics of stormwater runoff was examined on distinct types of agricultural and industrial area in Lake Sihwa watershed. During rainfall event, the peak concentrations of SS, $COD_{Mn}$, and TP were observed after 6~11 hours of rainfall in agricultural areas. Whereas, the peak concentrations occurred within the first one hour after rainfall and then the highest concentration of NPS pollutants sharply decreased, showing strong first flush effect in industrial areas. The strong first flush effect of suspended solid was apparent in agricultural areas, while those of organic matters and nutrients were clear in industrial areas. The cumulative load curves for NPS pollutants showed above the $45^{\circ}$ straight line, indicating that first flush effect occurred in industrial areas. The mean SS EMC values of agricultural areas ranged from 60~598 mg/L (Avg. 285 mg/L), it was higher value when compare to other areas. While the mean $COD_{Mn}$, TN, and TP EMCs values of industrial areas were shown the highest values as 67.7 mg/L, 12.1 mg/L and 2.1 mg/L respectively.

Analysis of pollutant build-up model applied to various urban landuse

  • Choi, Jiyeon;Na, Eunhye;Ryu, Jichul;Kim, Jinsun;Kim, Hongtae;Shin, Dongsuk
    • Membrane and Water Treatment
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    • v.10 no.1
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    • pp.13-17
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    • 2019
  • This study was conducted to analyse the application of pollutant build-up model on various urban landuses and to characterize pollutant build-up on urban areas as a source of stormwater runoff pollution. The monitored data from impervious surfaces in urban areas such as commercial (8 sites), industrial (10 sites), road (8 sites), residential (10 sites), recreational (5 sites) from 2008 to 2016 were used for the analysis of pollutant build-up model. Based on the results, the average runoff coefficients vary from 0.35 to 0.61. In all landuses except recreational landuse, the runoff coefficient is 0.5 or more, which is the highest in the commercial area. Commercial landuse where pollutants occur at the highest EMC in all landuse, and it is considered that NPS management is necessary compared with other landuses. The maximum build-up load for organic matter (BOD) was highest in the commercial area ($4.59g/m^2$), and for particular matter (TSS) in the road area ($5.90g/m^2$) while for nutrient (TN and TP) in the residential area ($0.40g/m^2$, $0.14g/m^2$). The rate constants ranged from 0.1 to 1.3 1/day depending on landuse and pollutant parameters, which means that pollutant accumulation occurs between 1 and 10 days during dry day. It is clear that these build-up curves can generally be classified based on landuse. Antecedent dry day (ADD) is a suitable and reasonable variable for developing pollutant build-up functions. The pollutant build-up curves for different landuse shows that these build-up curves can be generally categorized based on landuse.

Changes in Atmospheric Mercury Concentrations in Seoul, Korea and its Significance: A Case Study Between 1997 and 2002

  • Kim Ki-Hyun;Kim Min-Young;Hong SM
    • Journal of Korean Society for Atmospheric Environment
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    • v.21 no.E1
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    • pp.1-11
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    • 2005
  • The concentration levels of gaseous elemental mercury (GEM) in ambient air have been investigated from a monitoring station located in Yang Jae district of Seoul, Korea for a long-term period covering 1997 through 2002. The mean concentration of Hg, if computed based on its hourly measurement data for this six-year period, was $5.32\pm3.53 ng m^{-3} (N = 27,170)$. The inspection of the diurnal distribution patterns indicated the presence of notably high concentration levels during nighttime relative to daytime (e.g., the mean hourly value as high as $9 ng m^{-3}$ in winter nighttime). When divided seasonally, the highest mean of $6.12 ng m^{-3}$ was also observed during winter followed by spring, fall, and summer. The results of our analysis confirmed the relative dominance of winter (seasonally) or nighttime (diurnally), while exhibiting a complicated trend on a long-term basis. Examination of our data over a different temporal scale consistently indicated that dynamic changes in Hg concentrations occurred through time in line with changes in the strength and diversity of the source processes. It is thus acknowledged that the presence of unusually high Hg levels is the consequence of intense man-made activities, while such signatures can vary in a competitive manner.

ASN.1 Source Code Auto-Generator (ASN.1 원시 코드 자동 생성기)

  • 정진영;김영철
    • Journal of the Korea Society of Computer and Information
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    • v.8 no.4
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    • pp.28-34
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    • 2003
  • ASN.1 is the most fundamental technology in network management. The develoment of ASN.1 environment requires three steps : compiler work to parse ASN.1 languages, updating database with the parsing results, and pretty-printing work for data in the database. This paper presents the design and implementation of the translator which automatically translates the specification of ASN.1 to the object-oriented language C++. This system provides a total environment including for various graphic user interface, DB interface, browser to develop ASN.1 for development environment of ASN.1 For the implementation, Objectivity DB is used for database, flex and yacc for compiling, and Tcl/Tk for user interface.

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Development of An Expert System for Classifying and Identifying Asbestos Fibers in the Indoor Air (실내공기 중 석면 섬유의 분류 및 확인을 위한 전문가 시스템의 개발)

  • 김수환;김동술
    • Journal of Korean Society for Atmospheric Environment
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    • v.15 no.6
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    • pp.703-712
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    • 1999
  • In order to determine the number concentration of asbestos, it is initially necessary to develop a method to identify the type of asbestos. Thus a SEM/EDX was used to obtain both physical and chemical information from known asbestos samples as reference samples. Based on these information, we could make a source profile matrix consisted of a glass fiber and 3 other types of asbestos such as chrysotile, crocidolite, and tremolite. After collinearity test was performed for these sources, we could successfully develop an expert system by C-language to separate and to identify various unknown types of fiber particles. The expert system was perfectly self-verified with original reference data. Then the program was extensively applied to survey indoor and outdoor environment such as a residential area, an elementary school, and underground store, and an auto junkyard. As a result for surveying, a total of 442 individual fibrous particles were well classified into 4 types of particle classes above mentioned; 5.4% of chrysotile, 4.1% of crocidolite, 3.6% of glass fiber, and 86.9% of unknown fibers in terms of number concentration. However, tremolite was not detected in the study sites. All the samples were satisfied with the recommendation level of 0.01 f/cc.

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