Discrete event system(DES)models promote system engineering,including system design,verification,and assessment.The advancement in manufacturing technology has endowed us to fabricate complex industrial systems.Conseq...Discrete event system(DES)models promote system engineering,including system design,verification,and assessment.The advancement in manufacturing technology has endowed us to fabricate complex industrial systems.Consequently,the adoption of advanced modeling methodologies adept at handling complexity and scalability is imperative.Moreover,industrial systems are no longer quiescent,thus the intelligent operations of the systems should be dynamically specified in the model.In this paper,the composition of the subsystem behaviors is studied to generate the complexity and scalability of the global system model,and a Boolean semantic specifying algorithm is proposed for generating dynamic intelligent operations in the model.In traditional modeling approaches,the change or addition of specifications always necessitates the complete resubmission of the system model,a resource-consuming and error-prone process.Compared with traditional approaches,our approach has three remarkable advantages:(i)an established Boolean semantic can be fitful for all kinds of systems;(ii)there is no need to resubmit the system model whenever there is a change or addition of the operations;(iii)multiple specifying tasks can be easily achieved by continuously adding a new semantic.Thus,this general modeling approach has wide potential for future complex and intelligent industrial systems.展开更多
Purpose:What factors influence conscious consumerism,especially related to race and gender identities?This scholarship explores three white women-led social responsibility organizations’(SROs)aspirations to encourage...Purpose:What factors influence conscious consumerism,especially related to race and gender identities?This scholarship explores three white women-led social responsibility organizations’(SROs)aspirations to encourage conscious consumerism as well as factors that influence conscious consumerism.Design/methodology/approach:Using the Black feminist thought and sustainability development theory,the data were analyzed using a thematic analysis to explore the activation of the white savior industrial complex(WSIC)in SROs.Interviews provided in-depth knowledge of the SRO culture including,but not limited to,insight on social exclusion and partnerships.Findings:Noonday Collection,Sseko Designs,and Trades of Hope,all SROs,aspire to be dedicated to people,planet,and profit and encourage conscious consumerism as a means for their customer base and sales consultants to“do their part”,and yet,an unintended consequence of the SROs’work is social exclusion and white saviorism.Originality:This scholarship investigates what can be done to dismantle the overreliance of conscious consumerism in an effort to finally strip white saviorism,and its role in the white savior industrial complex(WSIC),of its power.展开更多
In order to effectively analyse the multivariate time series data of complex process,a generic reconstruction technology based on reduction theory of rough sets was proposed,Firstly,the phase space of multivariate tim...In order to effectively analyse the multivariate time series data of complex process,a generic reconstruction technology based on reduction theory of rough sets was proposed,Firstly,the phase space of multivariate time series was originally reconstructed by a classical reconstruction technology.Then,the original decision-table of rough set theory was set up according to the embedding dimensions and time-delays of the original reconstruction phase space,and the rough set reduction was used to delete the redundant dimensions and irrelevant variables and to reconstruct the generic phase space,Finally,the input vectors for the prediction of multivariate time series were extracted according to generic reconstruction results to identify the parameters of prediction model.Verification results show that the developed reconstruction method leads to better generalization ability for the prediction model and it is feasible and worthwhile for application.展开更多
This study is the first of a series of a project on the development and implementation of environmental protection policies, before<span style="font-family:Verdana;">,</span><span style="...This study is the first of a series of a project on the development and implementation of environmental protection policies, before<span style="font-family:Verdana;">,</span><span style="font-family:;" "=""><span style="font-family:Verdana;"> during and after the construction of the </span><i><span style="font-family:Verdana;">Kribi</span></i> <i><span style="font-family:Verdana;">Industrial</span></i> <i><span style="font-family:Verdana;">and</span></i> <i><span style="font-family:Verdana;">Urban</span></i> <i><span style="font-family:Verdana;">Port</span></i> <i><span style="font-family:Verdana;">Complex</span></i><span style="font-family:Verdana;"> (</span><i><span style="font-family:Verdana;">KIPC</span></i><span style="font-family:Verdana;">). The results will equip the State and scientific structures concerned with the protection of people, water resources and the environment as a whole. This includes reference data on the state of marine pollution in the region dating from the end of realization of the first phase of KIPC known as </span><i><span style="font-family:Verdana;">Kribi</span></i> <i><span style="font-family:Verdana;">Deep-Water</span></i> <i><span style="font-family:Verdana;">Harbor</span></i><span style="font-family:Verdana;"> (</span><i><span style="font-family:Verdana;">KDWH</span></i><span style="font-family:Verdana;">). Accordingly, the aim of this work is to assess the current state of KIPC and its surrounding by quantifying the preliminary parameters of suspended matter (SM);to analyze the physical and chemical parameters, chemical pollution indicators for anions and major cations and organic pollution indicators of four water samples taken from four different sites in the project area by filtration and weighing, pH meter, turbid meter, titration, colorimetry and titrimetric methods. The analysis of these samples and these parameters provide</span></span><span style="font-family:Verdana;">s</span><span style="font-family:Verdana;"> results which are slightly similar to international standards. This suggests that the environment remains relatively healthy. Hence, continuous management and monitoring of the parameters and pollution factors is strongly recommended.</span>展开更多
Two Gaussian air quality dispersion models, the industrial source complex short-term model (ISCST3) with and without modification have been used to simulate the pollutant concentration distribution in urban areas base...Two Gaussian air quality dispersion models, the industrial source complex short-term model (ISCST3) with and without modification have been used to simulate the pollutant concentration distribution in urban areas based on the meteorological data and the emissions distribution of sulfur dioxide. The verified data show that the modified model is more accurate in the urban area of Shijiazhuang. Using the modified model predictions, the control strategies of sulfur dioxide in the urban area have been studied, and the result show that the second long-term (to 2010) strategy can mitigate air pollution significantly and maintain pollution levels within permissible limits.展开更多
In this study, the amounts of odorous carbonyl compounds （OCCs） including acetaldehyde （Acet-A）, propionaldehyde （Pron-A）, butylaldehyde （Buty-A）, iso-valeric aldehyde （Iso-Vale-A） and n-valeric aldehyde （N...In this study, the amounts of odorous carbonyl compounds （OCCs） including acetaldehyde （Acet-A）, propionaldehyde （Pron-A）, butylaldehyde （Buty-A）, iso-valeric aldehyde （Iso-Vale-A） and n-valeric aldehyde （N-Vale-A） emitted from a fishery industrial complex near the exhibition facilities of ＂Expo 2012 Yeosu Korea＂ were measured. Acet-A was found to be the most abundant OCC, and the total concentrations of the OCCs were the highest in the summer. However, due to vehicular exhaust and photochemical reactions, the concentrations of some of the OCCs presented their highest levels in the fall. A significant correlation between Acet-A and Buty-A was found at the major fishery facilities （r = 0.816, p = 1.87E-15, n = 60） and at the border areas （r = 0.809, p = 3.40E-12, n = 48） of this fishery industrial complex. The concentrations of OCCs at the border areas were not worse than those at the urban areas in other places, indicating that the concentrations of ambient OCCs at the border areas were not greatly influenced by manmade activities.展开更多
基金supported by the National Natural Science Foundation of China(U21B2074,52105070).
文摘Discrete event system(DES)models promote system engineering,including system design,verification,and assessment.The advancement in manufacturing technology has endowed us to fabricate complex industrial systems.Consequently,the adoption of advanced modeling methodologies adept at handling complexity and scalability is imperative.Moreover,industrial systems are no longer quiescent,thus the intelligent operations of the systems should be dynamically specified in the model.In this paper,the composition of the subsystem behaviors is studied to generate the complexity and scalability of the global system model,and a Boolean semantic specifying algorithm is proposed for generating dynamic intelligent operations in the model.In traditional modeling approaches,the change or addition of specifications always necessitates the complete resubmission of the system model,a resource-consuming and error-prone process.Compared with traditional approaches,our approach has three remarkable advantages:(i)an established Boolean semantic can be fitful for all kinds of systems;(ii)there is no need to resubmit the system model whenever there is a change or addition of the operations;(iii)multiple specifying tasks can be easily achieved by continuously adding a new semantic.Thus,this general modeling approach has wide potential for future complex and intelligent industrial systems.
文摘Purpose:What factors influence conscious consumerism,especially related to race and gender identities?This scholarship explores three white women-led social responsibility organizations’(SROs)aspirations to encourage conscious consumerism as well as factors that influence conscious consumerism.Design/methodology/approach:Using the Black feminist thought and sustainability development theory,the data were analyzed using a thematic analysis to explore the activation of the white savior industrial complex(WSIC)in SROs.Interviews provided in-depth knowledge of the SRO culture including,but not limited to,insight on social exclusion and partnerships.Findings:Noonday Collection,Sseko Designs,and Trades of Hope,all SROs,aspire to be dedicated to people,planet,and profit and encourage conscious consumerism as a means for their customer base and sales consultants to“do their part”,and yet,an unintended consequence of the SROs’work is social exclusion and white saviorism.Originality:This scholarship investigates what can be done to dismantle the overreliance of conscious consumerism in an effort to finally strip white saviorism,and its role in the white savior industrial complex(WSIC),of its power.
基金Project(61025015) supported by the National Natural Science Funds for Distinguished Young Scholars of ChinaProject(21106036) supported by the National Natural Science Foundation of China+2 种基金Project(200805331103) supported by Research Fund for the Doctoral Program of Higher Education of ChinaProject(NCET-08-0576) supported by Program for New Century Excellent Talents in Universities of ChinaProject(11B038) supported by Scientific Research Fund for the Excellent Youth Scholars of Hunan Provincial Education Department,China
文摘In order to effectively analyse the multivariate time series data of complex process,a generic reconstruction technology based on reduction theory of rough sets was proposed,Firstly,the phase space of multivariate time series was originally reconstructed by a classical reconstruction technology.Then,the original decision-table of rough set theory was set up according to the embedding dimensions and time-delays of the original reconstruction phase space,and the rough set reduction was used to delete the redundant dimensions and irrelevant variables and to reconstruct the generic phase space,Finally,the input vectors for the prediction of multivariate time series were extracted according to generic reconstruction results to identify the parameters of prediction model.Verification results show that the developed reconstruction method leads to better generalization ability for the prediction model and it is feasible and worthwhile for application.
文摘This study is the first of a series of a project on the development and implementation of environmental protection policies, before<span style="font-family:Verdana;">,</span><span style="font-family:;" "=""><span style="font-family:Verdana;"> during and after the construction of the </span><i><span style="font-family:Verdana;">Kribi</span></i> <i><span style="font-family:Verdana;">Industrial</span></i> <i><span style="font-family:Verdana;">and</span></i> <i><span style="font-family:Verdana;">Urban</span></i> <i><span style="font-family:Verdana;">Port</span></i> <i><span style="font-family:Verdana;">Complex</span></i><span style="font-family:Verdana;"> (</span><i><span style="font-family:Verdana;">KIPC</span></i><span style="font-family:Verdana;">). The results will equip the State and scientific structures concerned with the protection of people, water resources and the environment as a whole. This includes reference data on the state of marine pollution in the region dating from the end of realization of the first phase of KIPC known as </span><i><span style="font-family:Verdana;">Kribi</span></i> <i><span style="font-family:Verdana;">Deep-Water</span></i> <i><span style="font-family:Verdana;">Harbor</span></i><span style="font-family:Verdana;"> (</span><i><span style="font-family:Verdana;">KDWH</span></i><span style="font-family:Verdana;">). Accordingly, the aim of this work is to assess the current state of KIPC and its surrounding by quantifying the preliminary parameters of suspended matter (SM);to analyze the physical and chemical parameters, chemical pollution indicators for anions and major cations and organic pollution indicators of four water samples taken from four different sites in the project area by filtration and weighing, pH meter, turbid meter, titration, colorimetry and titrimetric methods. The analysis of these samples and these parameters provide</span></span><span style="font-family:Verdana;">s</span><span style="font-family:Verdana;"> results which are slightly similar to international standards. This suggests that the environment remains relatively healthy. Hence, continuous management and monitoring of the parameters and pollution factors is strongly recommended.</span>
文摘Two Gaussian air quality dispersion models, the industrial source complex short-term model (ISCST3) with and without modification have been used to simulate the pollutant concentration distribution in urban areas based on the meteorological data and the emissions distribution of sulfur dioxide. The verified data show that the modified model is more accurate in the urban area of Shijiazhuang. Using the modified model predictions, the control strategies of sulfur dioxide in the urban area have been studied, and the result show that the second long-term (to 2010) strategy can mitigate air pollution significantly and maintain pollution levels within permissible limits.
基金support of this research program from the Jeonnam Green Environment Center (JNGEC),Korea
文摘In this study, the amounts of odorous carbonyl compounds （OCCs） including acetaldehyde （Acet-A）, propionaldehyde （Pron-A）, butylaldehyde （Buty-A）, iso-valeric aldehyde （Iso-Vale-A） and n-valeric aldehyde （N-Vale-A） emitted from a fishery industrial complex near the exhibition facilities of ＂Expo 2012 Yeosu Korea＂ were measured. Acet-A was found to be the most abundant OCC, and the total concentrations of the OCCs were the highest in the summer. However, due to vehicular exhaust and photochemical reactions, the concentrations of some of the OCCs presented their highest levels in the fall. A significant correlation between Acet-A and Buty-A was found at the major fishery facilities （r = 0.816, p = 1.87E-15, n = 60） and at the border areas （r = 0.809, p = 3.40E-12, n = 48） of this fishery industrial complex. The concentrations of OCCs at the border areas were not worse than those at the urban areas in other places, indicating that the concentrations of ambient OCCs at the border areas were not greatly influenced by manmade activities.
