Characterizing information-carrying capacities of bosonic communication channels is of significant practical interest. For thermal noise channels, using coherent (product) states yields an achievable rate for classica...
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ISBN:
(纸本)9781467350587
Characterizing information-carrying capacities of bosonic communication channels is of significant practical interest. For thermal noise channels, using coherent (product) states yields an achievable rate for classical communication which is conjectured to be optimal. However, it is not known whether coding strategies using entanglement may perform better. Here we discuss upper bounds on classical capacities of thermal noise channels. These imply that coherent-state coding is close to optimal. Our main tool is a quantum analog of the entropy power inequality introduced Shannon. It gives a lower bound on the output von Neumann entropy when two independent signals combine at a beamsplitter.
With the increasing complexity of Web applications, ensuring the reliability of Web applications becomes an enormous challenge. Statistical Web testing, proposed by researchers in recent years, is an appropriate appro...
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With the increasing complexity of Web applications, ensuring the reliability of Web applications becomes an enormous challenge. Statistical Web testing, proposed by researchers in recent years, is an appropriate approach to testing Web applications and to estimating their reliability. However, most of the researchers only focus on estimating the overall reliability of Web applications. They only discuss the failures which are recorded in error log files. In fact, the overall reliability cannot reflect the quality of Web applications under different usage patterns. In this paper, we propose an approach to estimating the particular reliability of Web applications under a particular usage pattern. Moreover, our approach can automatically identify the difference between output and expected pages.
In e-commerce websites, customers usually make comments, which include the properties of the product, the attitude to the vendor, express delivery information after buying the products. The information provides an imp...
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In e-commerce websites, customers usually make comments, which include the properties of the product, the attitude to the vendor, express delivery information after buying the products. The information provides an important reference when others buy products in the website. In sentiment analysis, a finer-grained opinion mining approach focuses on not only the product itself as a whole but also product features, which can be a part or attribute of the product. Previous related research focuses on the explicit target mining but neglects the implicit ones. Whereas, the implicit features, which are implied by some words or phrases, are very significant and meaningful to express users' opinion. In this paper, we propose a new approach to uniformly extract explicit and implicit opinion features from the comments. Our experimental results prove the effectiveness of the approach. The recall is improved, suggesting that taking the implicit features into consideration can extract more useful information, meanwhile, the precision is stable, not decreases.
Congestion and starvation will occur among some nodes due to the emerging serious unfairness, which is derived from the limited communication capabilities of all nodes and sink or in the case of a mobile sink moving t...
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The paper presents a method of test generation for Web applications based on model partition. Compared with the method of test tree for test generation, our approach ensures the effectiveness of test paths generated f...
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The paper presents a method of test generation for Web applications based on model partition. Compared with the method of test tree for test generation, our approach ensures the effectiveness of test paths generated from the model of Web applications. In this paper, we first employ the Kripke structure to modeling the navigation behavior of a Web application. Then the theory for model partition is proposed to solve the problem of inefficiency test paths. Next a frame of test generation based on model partition is designed to support test generation and redundancy reduction of test paths. Finally, we take the student course system as an example to illustrate our approach.
The personal health records (PHR) always contain much health-related privacy information in different categories. When storing the PHR data in the cloud, the PHR owner losescontrol to the sensitive information and is ...
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This paper studies the quality management method in small-size software project. In traditional method, test and evaluation are prerequisite methods to improve the project quality. The paper analyses characteristics a...
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ISBN:
(纸本)9781849196413
This paper studies the quality management method in small-size software project. In traditional method, test and evaluation are prerequisite methods to improve the project quality. The paper analyses characteristics and the disadvantages of project management in small-sized software project. Therefore, some quality activities should be considered in small-sized software project. The paper proposed lightweight quality planning, quality execution and quality monitoring activities in project management. Finally, the paper gives practical applications and proves method effective.
Provenance plays a fundamental role in e-science to keep track of the data processing execution, evaluate the data quality, reproduce the analysis results, and especially share and re-use workflows. How to take full a...
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As the weight of the general system characteristics (GSC) in IFPUG method is the same in the different types of software systems. To solve the problem, this article uses the Fuzzy AHP (Analytic Hierarchy Process) appr...
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The traditional database is designed for the structured data and the complex query. In the environment of the cloud, the scale of data is very large, the data is nonstructured, the request of the data is dynamic, thes...
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