• The KIPS Transactions:PartC
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• v.16C no.4
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• pp.423-438
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• 2009

The sensor network is highlighted because it is one of the essentialbase networks in the ubiquitous computing realization. Researches for providing security and efficiency are being perfomed in the various isuues because of the characteristics of sensor nodes and sensor networks. Recently, code dissemination mechanism is recognized as an important research issue since sensor nodes are in the need of updating new software or the need of modifying bugs in dynamically. Generally lots of nodes are in the sensor networks and they are ramdomly deployed in hostile environments. Thus it is especially important that the code dissemination from the base station to nodes should be processed efficienctly and securely. In this paper, we check up the recent existing code dissemination mechanisms, and comparatively analyze the requirements of the code dissemination and the characteristicsof existing mechanisms. Through the analysis, we present future research issues for the code dissemination area. This research can expedite the research on the code dissemination and improve the usability of sensor networks with efficiency and security.

• Journal of the Korean earth science society
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• v.36 no.1
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• pp.36-50
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• 2015

The purpose of this study is to assign emission source profiles of volatile organic compounds (VOCs) and particulate matters (PMs) for chemical speciation, and to correct the temporal allocation factor and the chemical speciation of source profiles according to the source classification code within the sparse matrix operator kernel emission system (SMOKE) in the Seoul metropolitan area. The chemical speciation from the source profiles of VOCs such as gasoline, diesel vapor, coating, dry cleaning and LPG include 12 and 34 species for the carbon bond IV (CBIV) chemical mechanism and the statewide air pollution research center 99 (SAPRC99) chemical mechanism, respectively. Also, the chemical speciation of PM2.5 such as soil, road dust, gasoline and diesel vehicles, industrial source, municipal incinerator, coal fired, power plant, biomass burning and marine was allocated to 5 species of fine PM, organic carbon, elementary carbon, $NO_3{^-}$, and $SO_4{^2-}$. In addition, temporal profiles for point and line sources were obtained by using the stack telemetry system (TMS) and hourly traffic flows in the Seoul metropolitan area for 2007. In particular, the temporal allocation factor for the ozone modeling at point sources was estimated based on $NO_X$ emission inventories of the stack TMS data.