نتایج جستجو برای: three techniques namely dynamic
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In this paper we report a comparative characterization of Small Unilamellar Vesicles (SUVs), Large Unilamellar Vesicles (LUVs) and Multilamellar Vesicles (MLVs) prepared from 1-palmitoyl-2-oleoyl-sn-glycero-3-phospatidylcholine (POPC), carried out using two NMR techniques, namely High Resolution NMR in solution and High Resolution-Magic Angle Spinning (HR-MAS). The size and size distributions o...
So far, various optimization methods have been proposed, and swarm intelligence algorithms have gathered a lot of attention by academia. However, most of the recent optimization problems in the real world have a dynamic nature. Thus, an optimization algorithm is required to solve the problems in dynamic environments well. In this paper, a novel collective optimization algorithm, namely the Clus...
This paper describes the implementation of two isolated digit recognition techniques and is a comparison between the algorithms implemented. Any digit recognition comprises of mainly two stages feature extraction and similarity evaluation. Here, two feature extraction techniques, namely linear predictive cepstral coefficients (LPCC) and mel frequency cepstral coefficients (MFCC) are implemented...
This paper examines the relationship between causal ordering and two temporal abstraction techniques, namely generation of mixed models from dynamic models and aggregation of nearly decomposable models. The paper defines two notions of causal equivalence between an original model and its abstraction or its elaboration. Then, it shows that when the constraint for a uniform temporal grain size fo...
The Actor model of concurrent computation uni es the functional and object-oriented programming language paradigms. The model provides a exible basis for concurrent programming. It supports local state, dynamic creation and con guration, and inherent parallelism. Because of the uidity of Actors, specifying and debugging actor systems is often considered di cult. We believe visual programming te...
Compressed sensing is a developing field aiming at reconstruction of sparse signals acquired in reduced dimensions, which make the recovery process under-determined. The required solution is the one with minimum l0 norm due to sparsity, however it is not practical to solve the l0 minimization problem. Commonly used techniques include l1 minimization, such as Basis Pursuit (BP) and greedy pursui...
The emerging HetNet is asking for new network deployment and management methods with flexibility to handle dynamic user demands and diverse radio environments in a tired RAN infrastructure. In this Brief, we present a new framework in the study of HetNet, namely as cognitive cellular network management (CCN), by applying cognitive radio techniques. As shown in Fig. 2.1, CCN are built upon four ...
In today era cancer is a dangerous and terrible disease which cause due to rapid increment of unusual cells within the body. Cancer second influential death in world. It has become very difficult overcome cancerous disease. 10 million people died per year from cancer. The major sudden change DNA cells. As result normal convert into enhance process metastasis. There are some treatments this but ...
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