• Title/Summary/Keyword: TSP

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Variation of TSP Compositions in Accordance with the Pathways of Inflowing Air Mass at Jeju Island (제주지역 TSP의 기류 유입경로별 조성 변화)

  • Ko, Hee-Jung;Kim, Won-Hyung;Lee, Min-Young;Song, Jung-Min;Kang, Chang-Hee;Kim, Yong-Pyo
    • Journal of Korean Society for Atmospheric Environment
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    • v.27 no.3
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    • pp.347-357
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    • 2011
  • The TSP aerosols were collected at Gosan site of Jeju Island between 2003 and 2007, and their aerosol components were analyzed to examine the variations of chemical compositions with the corresponding pathways of inflowing air parcels. According to the comparison of seasonal aerosol compositions, the soil-originated components showed remarkably high concentrations during spring season. On the other hand, the concentrations of anthropogenic components were somewhat high in spring and summer seasons, but low in fall season. Based on the comparison of TSP compositions in relation to the pathways of inflowing air mass, the concentrations of anthropogenic components (nss-$SO_4^{2-}$, S, $NO_3^-$), soil-originated components (nss-$Ca^{2+}$, Al, Fe, Ca), and the heavy metals (e,g., Mn, Zn, Cr, Pb, Cu, Cd, etc.) have relatively increased with the air mass moving from China continent into Jeju area. Meanwhile, the marine-originated components showed an increasing trend with the air mass coming from North Pacific Ocean. In the seasonal and sectional comparison, the nss-$SO_4^{2-}$, $NO_3^-$, nss-$Ca^{2+}$, and Al showed comparatively high concentrations when the air mass moved from China continent during all seasons. Especially, the $NO_3^-$, nss-$Ca^{2+}$, and Al concentrations were somewhat high when the air mass moved from Korean Peninsula during summer season. It was also recognized that the Na+ concentration were high, when the air mass moved from Pacific Ocean through all seasons.

Effects of Crustal Species on Characteristics of Aerosols: Simulation of Measurements at Kosan, Cheju Island, 1994 (토양 성분이 입자 특성에 미치는 영향: 제주도 고산에서의 1994년 측정결과 모사)

  • 김용표;문길주
    • Journal of Korean Society for Atmospheric Environment
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    • v.12 no.3
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    • pp.289-296
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    • 1996
  • Effects of crustal species on the characteristics of ambient particles were studied by applying a gas-particle equilibrium model, SCAPE, to the measurements at Kosan, Cheju Island during the spring and summer, 1994. Two cases were simulated; the measured composition was used without any modification (case 1), and the metal ion concentrations originated from crust were subtracted from the measured particle composition (case 2). Total suspended particles (TSPs) were collected by an automatic high volume tape sampler during spring period and by high volume samplers during summer period. The fine particles, PM 2.5, and gaseous volatile species were collected using a filter pack smapler during summer period. The water soluble ion concentrations were analyzed from all the particle samples. According to the simulation results, the effect of crustal elements on the chemical composition of particles is negligible for both TSP particles and PM 2.5 particles. Acidity of particles measured at Kosan, however, is affected by the change of the concentrations of crustal species, stronger effects for TSP particles than for PM 2.5 particles during summer, and stronger effects during summer than spring for TSP particle. The average pH decrease due to the absence of crustal species was about 0.10 for PM 2.5 particle during summer and 1.51 and 0.85 for TSP particles during summer spring, respectively. Water contents of PM 2.5 particles for both cases are comparable to each other. Estimated water content of TSP particles for case 2 is higher than that for case 1 by about 4 $\sim 6 \mum/m^3$ because salts of metal ions are not hygroscopic.

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Aerosol Characteristics at Tokchok Island in the Yellow Sea (황해상 덕적도의 대기 에어로졸 특성)

  • 이승복;배귀남;김용표;진현철;윤용석;문길주
    • Journal of Korean Society for Atmospheric Environment
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    • v.18 no.4
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    • pp.305-316
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    • 2002
  • Various air pollutants were measured at Tokchok Island in the Yellow Sea that is about 50 km distant from Incheon since April 1999. This study was undertaken to help understanding the level of air pollution and its distribution characteristics over the Yellow Sea. The geographical characteristics of the air pollution monitoring station and emission inventories of Tokchok Island are introduced. The mass concentrations and chemical compositions of TSP and P $M_{2.5}$ measured until March 2000 are discussed in this paper. The overall average mass concentrations are about 37.2 $\mu\textrm{g}$/㎥ for TSP and 18.7 $\mu\textrm{g}$/㎥ for P $M_{2.5}$ , respectively, which are similar to or a little lower than the values observed in other background sites at Kangwha and Taean. However, they are much lower than those observed at Qingdao in China. The low mass concentration and major anthropogenic ion concentrations in aerosols collected at Tokchok Island show that local sources are not dominant at Tokchok Island. The estimated average fractions of anthropogenic non-sea-salt sulfate to the total sulfate concentration of TSP and P $M_{2.5}$ are greater than 80% for both sizes. It hence suggests that the sulfate be mainly affected by anthropogenic sources. If we consider the average mass ratio of P $M_{2.5}$ to TSP, the mass fractions of anthropogenic species to P $M_{2.5}$ , and the molar ratio of nss S $O_4$$^{2-}$ to total N $O_{3-}$, it may be possible to infer that a part of anthropogenic species measured at Tokchok Island be transported from China. The characteristics of neutralization of nss S $O_4$$^{2-}$ and the particle size of major ions are also discussed.

Multi Colony Ant Model using Positive.Negative Interaction between Colonies (집단간 긍정적.부정적 상호작용을 이용한 다중 집단 개미 모델)

  • Lee, Seung-Gwan;Chung, Tae-Choong
    • The KIPS Transactions:PartB
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    • v.10B no.7
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    • pp.751-756
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    • 2003
  • Ant Colony Optimization (ACO) is new meta heuristics method to solve hard combinatorial optimization problem. It is a population based approach that uses exploitation of positive feedback as well as greedy search. It was firstly proposed for tackling the well known Traveling Salesman Problem (TSP) . In this paper, we introduce Multi Colony Ant Model that achieve positive interaction and negative interaction through Intensification and Diversification to improve original ACS performance. This algorithm is a method to solve problem through interaction between ACS groups that consist of some agent colonies to solve TSP problem. In this paper, we apply this proposed method to TSP problem and evaluates previous method and comparison for the performance and we wish to certify that qualitative level of problem solution is excellent.

Effect of Trisodium Phoshate and Cetylpyridinium chloride on E. coli O157:H7 and Listerial monocytogenes (Trisodium Phoshate와 Cetylpyridinium chloride의 E. coli O157:H7 및 Listerial monocytogenes 에 대한 살균 작용)

  • 강길진
    • Journal of Food Hygiene and Safety
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    • v.13 no.4
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    • pp.365-369
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    • 1998
  • The in vitro effects of trisodium phosphate and cetylpyridinium chloride on E. coli 0157:H7 and L. monocytogenes were investigated. The trisodium phosphate and cetylpyridinium chloride was bactericidal toward E. coli 0157:H7 and L. monocytogenes. The killing effects of the $1{\times}10^{-2}\;M$ trisodium phosphate on E. coli 0157:H7 and L. monocytogenes were 30~40%, 40~50%, respectively. The killing effects of the $5{\times}10^{-7}\;M$ cetylpyridinium chloride on E. coli 0157:H7 and L. monocytogenes were 90~95%, 95~99%, respectively. The killing effects of the trisodium phosphate was $10^5$ times that of the cetylpyridinium chloride. Factors effecting the bactericidal action of trisodium phosphate and cetylpyridinium chloride were investigated and the action depended on temperature and pH.

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A study on Pb, Zn and Fe Concentrations of Ambient Air Adjacent to Heavy Traffic Road Side in Seoul (서울시 주요 도로변 대기중 납, 아연 및 철 농도에 관한 조사연구)

  • 조준호;박석환;정문식
    • Journal of Environmental Health Sciences
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    • v.24 no.2
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    • pp.110-117
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    • 1998
  • This study was carried out to investigate the concentrations of TSP, Pb, Zn and Fe in ambient air adjacent to the heavy traffic road side in Seoul from October 1 to October 31, 1997. The results were as follows 1. The concentrations of TSP were 260 $\mu g/m^3$, 184 $\mu g/m^3$, 147 $\mu g/m^3$ in Chongro, Chungkechun and Kangnam-terminal, respectively. The concentration of TSP was correlated with the traffic volume of the sampling sites (r=0.77). 2. The concentrations of Pb were 638 ng/m$^3$, 335 ng/m$^3$, 233 ng/m$^3$ in Chungkechun, Kangnam-terminal and Chongro, respectively. The concentration of Pb was correlated with the Truck (over 1.4 ton) volume of the sampling sites (r=0.71). The Pb contents among these sites were significantly different (p < 0.05). 3. The concentrations of Zn were 535 ng/m$^3$, 461 ng/m$^3$, 439 ng/m$^3$ in Chongro, Kangnam-terminal and Chungkechun, respectively. The concentration of Zn was badly correlated with the traffic volume of the sampling sites (r=0.23). 4. The concentrations of Fe were 5.32 $\mu g/m^3$, 4.51 $\mu g/m^3$ and 3.18 $\mu g/m^3$ in Chongro, Kangnam-terminal and Chungkechun, respectively. The concentration of Fe was correlated with the traffic volume of the sampling sites (r=0.83). The Fe contents among these sites were significantly different (p < 0.05). 5. The concentrations of TSP, Pb, Zn, Fe investigated didn't exceed the Korean Ambient Air Quality Standards, but more researches in relation to these will be required in considering people working in these sites suffered from cough, asthma and chronic headache.

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Seasonal Composition Characteristics of TSP and PM2.5 Aerosols at Gosan Site of Jeju Island, Korea during 2008-2011

  • Kim, Won-Hyung;Hwang, Eun-Yeong;Ko, Hee-Jung;Kang, Chang-Hee
    • Asian Journal of Atmospheric Environment
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    • v.7 no.4
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    • pp.217-226
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    • 2013
  • The collection of TSP and $PM_{2.5}$ aerosols has been made at the Gosan Site of Jeju Island during 2008-2011, and their ionic and elemental species were analyzed, in order to examine the seasonal variation and characteristics of aerosol compositions. The anthropogenic components ($NH_4{^+}$, $nss-SO_4{^{2-}}$, $NO_3{^-}$, S, Zn, Pb) and the soil components ($nss-Ca^{2+}$, Al, Fe, Ca) showed high concentrations in spring as the prevailing westerly wind, but the concentrations of the sea-salt components ($Na^+$, $Cl^-$) were high in winter. In TSP, the neutralization by $NH_3$ increased in summer, but the neutralization by $CaCO_3$ increased in spring and fall seasons. The organic acids ($HCOO^-$, $CH_3COO^-$) contributed to the acidification of the aerosols by only 5.0%, so the acidification could be mostly contributed by the inorganic acids ($SO_4{^{2-}}$, $NO_3{^-}$). From the examination of the source origins by factor analysis, the compositions of TSP were influenced by the order of soil > anthropogenic > marine, on the other hand, those of $PM_{2.5}$ were by the order of anthropogenic > marine > soil. The backward trajectory analyses showed that the concentrations of $NH_4{^+}$, $nss-SO_4{^{2-}}$, $NO_3{^-}$ and $nss-Ca^{2+}$ increased highly when the air masses had moved from China continent into Gosan area of Jeju Island.

Optimal Routes Analysis of Vehicles for Auxiliary Operations in Open-pit Mines using a Heuristic Algorithm for the Traveling Salesman Problem (휴리스틱 외판원 문제 알고리즘을 이용한 노천광산 보조 작업 차량의 최적 이동경로 분석)

  • Park, Boyoung;Choi, Yosoon;Park, Han-Su
    • Tunnel and Underground Space
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    • v.24 no.1
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    • pp.11-20
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    • 2014
  • This study analyzed the optimal routes of auxiliary vehicles in an open-pit mine that need to traverse the entire mine through many working points. Unlike previous studies which usually used the Dijkstra's algorithm, this study utilized a heuristic algorithm for the Traveling Salesman Problem(TSP). Thus, the optimal routes of auxiliary vehicles could be determined by considering the visiting order of multiple working points. A case study at the Pasir open-pit coal mine, Indonesia was conducted to analyze the travel route of an auxiliary vehicle that monitors the working condition by traversing the entire mine without stopping. As a result, we could know that the heuristic TSP algorithm is more efficient than intuitive judgment in determining the optimal travel route; 20 minutes can be shortened when the auxiliary vehicle traverses the entire mine through 25 working points according to the route determined by the heuristic TSP algorithm. It is expected that the results of this study can be utilized as a basis to set the direction of future research for the system optimization of auxiliary vehicles in open-pit mines.

A Study of Ant Colony System Design for Multicast Routing (멀티캐스트 라우팅을 위한 Ant Colony System 설계에 대한 연구)

  • Lee, Sung-Geun;Han, Chi-Geun
    • The KIPS Transactions:PartA
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    • v.10A no.4
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    • pp.369-374
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    • 2003
  • Ant Algorithm is used to find the solution of Combinatorial Optimization Problems. Real ants are capable of finding the shortest path from a food source to their nest without using visual informations. This behavior of real ants has inspired ant algorithm. There are various versions of Ant Algorithm. Ant Colony System (ACS) is introduced lately. ACS is applied to the Traveling Salesman Problem (TSP) for verifying the availability of ACS and evaluating the performance of ACS. ACS find a good solution for TSP When ACS is applied to different Combinatorial Optimization Problems, ACS uses the same parameters and strategies that were used for TSP. In this paper, ACS is applied to the Multicast Routing Problem. This Problem is to find the paths from a source to all destination nodes. This definition differs from that of TSP and differs from finding paths which are the shortest paths from source node to each destination nodes. We introduce parameters and strategies of ACS for Multicasting Routing Problem.

Design and Implementation of a Web System Providing Optimal Travel Routes (여행지 최적 경로를 제공하는 웹 시스템의 설계와 구현)

  • Yim, Jae-Geol;Lee, Kang-Jai
    • Journal of the Korea Society of Computer and Information
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    • v.12 no.5
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    • pp.19-27
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    • 2007
  • We have implemented a WWW homepage which finds an optimal route for users. There already exist many web sites which provide the optimal route when a start and a destination cities are given. However, none of them can find the optimal route when a number of cities to be visited. The problem of finding the optimal route starting at a given start city and visiting through all the given intermediate cities and finally returning to the start city is called Travelling Sales Person(TSP) problem. TSP is a well known exponential time complexity problem. We have implemented an artificial intelligent search algorithm for TSP on our homepage. The main feature of our algorithm is that the destination may not be the same as the start city whereas all of the existing heuristic algorithms for TSP assume that the start and the destination cities are the same. The web page asks a user to select all the cities he or she wants to visit(including start and destination city), then it finds a sequence of the cities such that the user would travel minimum distance if he or she visits the cities in the order of the sequence. This paper presents algorithms used in the homepage.

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