Multi-island single electron transistor (SET) has become a promising candidate for the kernel device of the logic circuit in the near future. A novel compact analytical model for multi-island SET is proposed in terms ...
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Multi-island single electron transistor (SET) has become a promising candidate for the kernel device of the logic circuit in the near future. A novel compact analytical model for multi-island SET is proposed in terms of current. The new approach is based on the orthodox theory of single electron tunnelling and steady-state master equation. The model is accurate and fast compared with SIMON, and suitable for the ASIC design of multi-island SET circuit simulation.
To conduct a systemic analysis of biological networks function distribution and function modules, we present a semiautomatic method to achieve independent and intact GO slim (InitGO) based on graph operations and GO h...
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To conduct a systemic analysis of biological networks function distribution and function modules, we present a semiautomatic method to achieve independent and intact GO slim (InitGO) based on graph operations and GO hierarchy structure. Our method is packed into a user-friendly Cytoscape plugin named InitGO. The application of InitGO to yeast transcriptional factors regulatory network shows that the network has function modularity, offering evidence that our method is effective for defining function modules. InitGO plugin and source codes are available on request from the authors.
It has been reported that function implementations in biological systems, including transcriptional regulatory networks (TRN), show modular architecture. Analyzing functional modularity of biological networks can desc...
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It has been reported that function implementations in biological systems, including transcriptional regulatory networks (TRN), show modular architecture. Analyzing functional modularity of biological networks can describe characteristics of function implementation and their "position" in biology systems from the systems perspective. Defining functional modules naturally, we bring up a novel measurement, cohesive degree (CD), to characterize the modularity. From this character, we know that not all of the corresponding modules of function annotations take on good modularity. Considering the ratio of the non-cohesive (zero-CD value) modules, TRN's functional modularity is also weaker than that of other biological network and integral ones. And, this is not caused by data integrity, but by the topology of itself. In fact, the modularity implementation of biological systems is mainly accomplished through the cooperation of several types of networks, not by TRN alonely.
As a typical social media in web2.0 era, blogs have become more and more important to information diffusion. Different from the traditional news, the information spread on blogs is primarily driven by users and their ...
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As a typical social media in web2.0 era, blogs have become more and more important to information diffusion. Different from the traditional news, the information spread on blogs is primarily driven by users and their relations. According to this phenomenon, this paper addresses the novel problem of measuring the influence of social structures on information diffusion. This paper extracts the hidden communities and information diffusion networks on blogs, and proposes a novel quantitative measurement to investigate the influence of social networks structure on diffusion networks. The proposed methods measure the influence by utilizing a simple but effective graph similarity measuring method. The experiments demonstrate the effectiveness of the proposed algorithms and measurements, and discover the correlation between social networks and the diffusion of the "interest" topics, which indicates the necessity of using social structures for information detection and tracking on blogs.
We describe a general purpose master-worker parallel computation Python module called PyMW. PyMW is intended to support rapid development, testing and deployment of large scale master-worker style computations on a de...
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We describe a general purpose master-worker parallel computation Python module called PyMW. PyMW is intended to support rapid development, testing and deployment of large scale master-worker style computations on a desktop grid or volunteer computing environment. This module targets non-expert computer users by hiding complicated task submission and result retrieval procedures behind a simple interface. PyMW also provides a unified interface to multiple computing environments with easy extension to support additional environments. In this paper, we describe the internal structure and external interface to the PyMW module and its support for the Condor computing environment and the Berkeley Open Infrastructure for Network Computing (BOINC) platform. We demonstrate the effectiveness and scalability of PyMW by performing master-worker style computations on a desktop grid using Condor and a BOINC volunteer computing project.
Transaction of service composition has long-lived feature which a global-transaction is divided into several distributed sub-transactions. Atomicity property is preserved by using compensating transactions, which sema...
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To deal with the scalable and fast unbiased sampling problems in unstructured P2P systems, a sampling method based on multi-peer adaptive random walk (SMARW) is proposed. In the method, based on the multi-peer random ...
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Rate Adaptation (RA) is a mechanism to choose transmission rate based on the dynamic channel quality in wireless networks. The adaptation algorithm run solely at the sender side in 802.11 networks is studied. The key ...
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The paper presents the ongoing work of studying FMEA method for embedded safety critical software via formal analysis of various dependence relations among software elements, which can fairly improve the automation an...
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ISBN:
(纸本)9780769532622
The paper presents the ongoing work of studying FMEA method for embedded safety critical software via formal analysis of various dependence relations among software elements, which can fairly improve the automation and precision of both system level and detailed level FMEA. These dependence relations are depicted by the formal models abstracted from software design and implementation, and the FMEA processes for both structural and object-oriented software are proposed respectively. The initial result of case study shows the effectiveness of the approach. I 2008 IEEE.
In this paper, we propose an example-based decoder for a statistical machine translation (SMT) system, which is used for spoken language machine translation. In this way, it will help to solve the re-ordering problem ...
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