Resource selection in heterogeneous communication environments using the teleservice descriptor

1997 ◽  
pp. 132-153 ◽  
Author(s):  
Tom Pfeifer ◽  
Stefan Arbanowski ◽  
Radu Popescu-Zeletin
Keyword(s):  
Resource Selection ◽  
Communication Environments

Evaluation of bone-conduction headsets for use in multitalker communication environments

2005 ◽  
Author(s):  
Bruce N. Walker ◽  
Raymond M. Stanley ◽  
Nandini Iyer ◽  
Brian D. Simpson ◽  
Douglas S. Brungart
Keyword(s):  
Bone Conduction ◽  
Communication Environments

Resource selection and space use ofMyotis evotisin a western juniper woodland in Oregon

2018 ◽  
Vol 100 (1) ◽  
pp. 239-248
Author(s):  
Christopher R Anthony ◽  
Dana M Sanchez
Keyword(s):  
Resource Selection ◽  
Space Use ◽  
Western Juniper ◽  
Juniper Woodland

Governmental Governance of Megaprojects: The Case of EXPO 2010 Shanghai

2017 ◽  
Vol 48 (1) ◽  
pp. 37-50 ◽  
Author(s):  
Zhao Zhai ◽  
Tuomas Ahola ◽  
Yun Le ◽  
Jianxun Xie
Keyword(s):  
Resource Selection ◽  
The State ◽  
Role Of The State ◽  
Leadership Accountability ◽  
Selection Decisions ◽  
Chinese State ◽  
Organization Construction

While the governance of Western megaprojects is indirectly influenced by governments through legislation and regulations, the Chinese state actively oversees and controls projects of societal importance. To provide clarity on the role of the state in Chinese megaprojects, we carried out a case study focusing on EXPO 2010 Shanghai. Our analysis revealed that through a project-specific organization Construction Headquarter (CHQ), the Chinese state executes administrative strength, forces authorities to temporarily integrate their processes for the benefit of the project, influences contractor and resource selection decisions, induces leadership accountability, and promotes shared project values.

scholarly journals Secure and DoS-Resilient Fragment Authentication in CCN-Based Vehicular Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-12
Author(s):  
Sangwon Hyun ◽  
Hyoungshick Kim
Keyword(s):  
Vehicular Networks ◽  
Denial Of Service ◽  
Content Delivery ◽  
Dos Attacks ◽  
Promising Alternative ◽  
Content Centric Networking ◽  
Transmission Unit ◽  
Communication Environments ◽  
Maximum Transmission

Content-Centric Networking (CCN) is considered as a promising alternative to traditional IP-based networking for vehicle-to-everything communication environments. In general, CCN packets must be fragmented and reassembled based on the Maximum Transmission Unit (MTU) size of the content delivery path. It is thus challenging to securely protect fragmented packets against attackers who intentionally inject malicious fragments to disrupt normal services on CCN-based vehicular networks. This paper presents a new secure content fragmentation method that is resistant to Denial-of-Service (DoS) attacks in CCN-based vehicular networks. Our approach guarantees the authenticity of each fragment through the immediate fragment verification at interim nodes on the routing path. Our experiment results demonstrate that the proposed approach provides much stronger security than the existing approach named FIGOA, without imposing a significant overhead in the process. The proposed method achieves a high immediate verification probability of 98.2% on average, which is 52% higher than that of FIGOA, while requiring only 14% more fragments than FIGOA.

scholarly journals Estimating a resource selection function with line transect sampling

2002 ◽  
Vol 6 (4) ◽  
pp. 213-228 ◽  
Author(s):  
Bryan F. J. Manly
Keyword(s):  
Resource Selection ◽  
Probability Function ◽  
Resource Selection Function ◽  
Line Transect ◽  
Selection Function ◽  
Line Transect Sampling ◽  
Selection Probability ◽  
Transect Sampling ◽  
Conditional Maximum ◽  
Habitat Variables

A resource selection probability function is a function that gives the prob- ability that a resource unit (e.g., a plot of land) that is described by a set of habitat variables X1 to Xp will be used by an animal or group of animals in a certain period of time. The estimation of a resource selection function is usually based on the comparison of a sample of resource units used by an animal with a sample of the resource units that were available for use, with both samples being assumed to be effectively randomly selected from the relevant populations. In this paper the possibility of using a modified sampling scheme is examined, with the used units obtained by line transect sampling. A logistic regression type of model is proposed, with estimation by conditional maximum likelihood. A simulation study indicates that the proposed method should be useful in practice.

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