Pub Date : 2008-01-01DOI: 10.6052/1000-0992-2008-6-J2008-089
W. Tam, Fcm Lau, C. Tse
In the traditional study of mobile cellular systems,all users are assumed to have the same behaviour: they have the same probability of making/receiving a call,and they will move around the network with identical mobility.Moreover,the underlying user network is assumed to be fully connected,implying that all users know each other and they will communicate with each other with the same probability.In a practical environment, each user has a different list of acquaintances including relatives,friends and colleagues,with whom the user is most likely to make contact,and the size of the list varies with individual users.In addition,different users will acquire different levels of mobility,depending on various factors such as job or age.To evaluate the performance of a mobile cellular system more realistically,we model the user network with a scale-free network in which the number of acquaintances of a user follows a power-law distribution.Moreover,the mobile system is studied under three user mobility distributions:zero mobility,identical mobility and power-law mobility.Finally,the system performance indicators,such as the carried traffic and the blocking probabilities,are evaluated based on computer simulations,which show that both the user network configuration and the mobility of users affect the performance of the mobile system.
{"title":"Study of mobile communications with a complex underlying user network","authors":"W. Tam, Fcm Lau, C. Tse","doi":"10.6052/1000-0992-2008-6-J2008-089","DOIUrl":"https://doi.org/10.6052/1000-0992-2008-6-J2008-089","url":null,"abstract":"In the traditional study of mobile cellular systems,all users are assumed to have the same behaviour: they have the same probability of making/receiving a call,and they will move around the network with identical mobility.Moreover,the underlying user network is assumed to be fully connected,implying that all users know each other and they will communicate with each other with the same probability.In a practical environment, each user has a different list of acquaintances including relatives,friends and colleagues,with whom the user is most likely to make contact,and the size of the list varies with individual users.In addition,different users will acquire different levels of mobility,depending on various factors such as job or age.To evaluate the performance of a mobile cellular system more realistically,we model the user network with a scale-free network in which the number of acquaintances of a user follows a power-law distribution.Moreover,the mobile system is studied under three user mobility distributions:zero mobility,identical mobility and power-law mobility.Finally,the system performance indicators,such as the carried traffic and the blocking probabilities,are evaluated based on computer simulations,which show that both the user network configuration and the mobility of users affect the performance of the mobile system.","PeriodicalId":38383,"journal":{"name":"Advances in Mechanics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2008-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71157203","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2006-01-01DOI: 10.1146/ANNUREV.FLUID.38.050304.092111
G. Settles
Homeland security involves many applications of fluid mechanics and offers many opportunities for research and development.This review explores a wide selection of fluids topics in counterterrorism and suggests future directions.Broad topics range from preparedness and deterrence of impending terrorist attacks to detection,response,and recovery.Specific topics include aircraft hardening,blast mitigation,sensors and sampling,explosive detection,microfluidics and labs-on-a-chip,chemical plume dispersal in urban settings, and building ventilation.Also discussed are vapor plumes and standoff detection,nonlethal weapons,airborne disease spread,personal protective equipment,and decontamination.Involvement in these applications requires fluid dynamicists to think across the traditional boundaries of the field and to work with related disciplines, especially chemistry,biology,aerosol science,and atmospheric science.
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Pub Date : 2003-11-28DOI: 10.1146/ANNUREV.FLUID.33.1.371
J. Schetz
This review highlights the differences between the aerodynamics of high-speed trains and other types of transportation vehicles. The emphasis is on modern, high-speed trains, including magnetic levitation (Maglev) trains. Some of the key differences are derived from the fact that trains operate near the ground or a track, have much greater length-to-diameter ratios than other vehicles, pass close to each other and to trackside structures, are more subject to crosswinds, and operate in tunnels with entry and exit events. The coverage includes experimental techniques and results and analytical and numerical methods, concentrating on the most recent information available.
{"title":"AERODYNAMICS OF HIGH-SPEED TRAINS","authors":"J. Schetz","doi":"10.1146/ANNUREV.FLUID.33.1.371","DOIUrl":"https://doi.org/10.1146/ANNUREV.FLUID.33.1.371","url":null,"abstract":"This review highlights the differences between the aerodynamics of high-speed trains and other types of transportation vehicles. The emphasis is on modern, high-speed trains, including magnetic levitation (Maglev) trains. Some of the key differences are derived from the fact that trains operate near the ground or a track, have much greater length-to-diameter ratios than other vehicles, pass close to each other and to trackside structures, are more subject to crosswinds, and operate in tunnels with entry and exit events. The coverage includes experimental techniques and results and analytical and numerical methods, concentrating on the most recent information available.","PeriodicalId":38383,"journal":{"name":"Advances in Mechanics","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2003-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1146/ANNUREV.FLUID.33.1.371","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"64363486","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2001-09-10DOI: 10.6052/1000-0992-2001-3-J2001-072
译者
{"title":"NEW PERSPECTIVES ON CRACK AND FAULT DYNAMICS","authors":"译者","doi":"10.6052/1000-0992-2001-3-J2001-072","DOIUrl":"https://doi.org/10.6052/1000-0992-2001-3-J2001-072","url":null,"abstract":"","PeriodicalId":38383,"journal":{"name":"Advances in Mechanics","volume":"31 1","pages":"447"},"PeriodicalIF":0.0,"publicationDate":"2001-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"71156875","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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