نتایج جستجو برای: heterogeneous probabilistic disruption

تعداد نتایج: 253094  

2008
Vartika Bhandari VARTIKA BHANDARI Nitin H. Vaidya Romit Roy Choudhury Pradeep Kyasanur Matthew Miller

Recent years have seen a proliferation in the use of wireless multi-hop networks in diverse scenarios ranging from community mesh networks to wireless sensor networks. As wireless networks find application in such wide-ranging arenas and are deployed at large scale, they will increasingly need to operate in the presence of heterogeneous, and often constrained, hardware capabilities. Furthermore...

2010
Yue-Huei Huang Yaw-Chung Chen

The main challenges in the development of future wireless communication systems are provisioning various services across different radio access technologies to mobile users with satisfactory quality of services. However, as a mobile user moves across network boundaries, the seamless service over heterogeneous networks would be an important concern. To minimize the disruption to the ongoing sess...

Journal: :MONET 2010
Hyun-Ho Choi Dong-Ho Cho

In heterogeneous network environments, it is very important for users to provide seamless services while satisfying quality-of-service, regardless of the connected access network. In this paper, we apply a concept of ad hoc cooperation for the vertical handoff in the heterogeneous network. For the seamless vertical handoff of mobile nodes, a neighbor ad hoc node assists some parts of the handof...

2008
Amrita Pati Ying Jin Karsten Klage Richard F. Helm Lenwood S. Heath Naren Ramakrishnan

CMGSDB (Database for Computational Modeling of Gene Silencing) is an integration of heterogeneous data sources about Caenorhabditis elegans with capabilities for compositional data mining (CDM) across diverse domains. Besides gene, protein and functional annotations, CMGSDB currently unifies information about 531 RNAi phenotypes obtained from heterogeneous databases using a hierarchical scheme....

2002
Miguel Rio Nicola Pezzi Cecilia Mascolo Wolfgang Emmerich Hermann de Meer

Internet Service Providers, as well as organisations that maintain their proprietary networks are faced with an increasing demand to provide virtual and quality of service aware networks over a common physical infrastructure. There have been many attempts to build these virtual networks using programmable networking techniques. In this paper, we address the language aspects of programmable netw...

F. Bahrami M. Mohammadbaghban

In this paper, we introduce the notion of probabilistic valued measures as a generalization of non-negative measures and construct the corresponding Lp spaces, for distributions p > "0. It is alsoshown that if the distribution p satises p "1 then, as in the classical case, these spaces are completeprobabilistic normed spaces.

Journal: :international journal of reproductive biomedicine 0
mohammad hasan sheikhha seyed mehdi kalantar nasrin ghasemi

background: inversion of the uterus is very uncommon. patients may present with pelvic pain, vaginal discharge, or hemodynamic shock. case: we report a case of 35 years old women (virgin) who was admitted with profuse vaginal bleeding and cramps of uterus. in the vaginal examination at litothomy position a mass of 58 cm in size was protruded from the vagina. at first myomectomy was performed a...

2017

Abstraction machine is a theoritical model of computer hardware or software system used in automatically. Then, abstract machine are used by heterogeneous for machine for memory process, ip address etc. The user proposed by encryption and decryption of same memory location. The decryption built on same memory on one set instruction computer based on multiplication process for encryption in prog...

2003
Mariëlle Stoelinga Frits W. Vaandrager

Recently, a large number of equivalences for probabilistic automata has been proposed in the literature. Except for the probabilistic bisimulation of Larsen & Skou, none of these equivalences has been characterized in terms of an intuitive testing scenario. In our view, this is an undesirable situation: in the end, the behavior of an automaton is what an external observer perceives. In this pap...

Journal: :Probabilistic Engineering Mechanics 2023

Machine learning models trained with structural health monitoring data have become a powerful tool for system identification. This paper presents physics-informed Gaussian process (GP) model Timoshenko beam elements. The is constructed as multi-output GP covariance and cross-covariance kernels analytically derived based on the differential equations deflections, rotations, strains, bending mome...

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