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To obtain the maximum power from solar PVs, various maximum power point tracking (MPPT) methods have been developed. Most of these methods use various Perturb and Observe (P&O) algorithms to track the MPP of the solar array. However, a typical solar generation system consists of a solar array and a DC/DC converter. Making the output of the solar array maximum does not certainly result in the maximum...
The common practice to distribute the electricity generated by a grid-tied renewable generation system results in two drawbacks: double conversion loss because of DC-AC-DC conversion and the challenge to maintain the stability and reliability of AC grid because of the intermittent generation. This paper reports a solution to both of them by using a DC microgrid. The reported DC microgrid integrates...
In this paper, we propose a novel saliency detection approach, which is robust to images with complex background. In our algorithm, an intuitive and straightforward pre-treatment method is formulated for conducting over-segmentation adaptively. To detect saliency effectively, a two-stage scoring method is adopted, in which both background prior and foreground cues are considered. In the first stage,...
Various maximum power point tracking (MPPT) methods used in solar generation systems have one common point, that is, they all select the output of the solar array as their control target and try to make it maximum. However, a typical solar generation system consists of a solar array and a DC/DC converter. Making the output of the solar array maximum does not certainly result in the maximum DC/DC converter...
This paper presents a novel sentence similarity computation algorithm. We thought that the complete expression of a short sentence, not only depends on the syntactic structure, but also relies on the words and their weight, thus this method take word similarity feature and syntactic feature into account. The proposed method can be used in a variety of applications involving text knowledge representation,...
Eco-innovation (EI) pursues to bring environmental and economic win-win outcomes, including competitive performance and environmental performance, which possess the property of double externality and to present multi-motivations. Based on empirical analyses of EI on 246 enterprises in China, the econometric estimations show that the impact of different motivations on EI performance. In this study,...
Based on the practical and importance of the Chebyshev interpolation polynomial algorithm, in order to structure Chebyshev interpolation polynomial of high precision possible, having some research on the Chebyshev interpolation polynomial algorithm firstly: giving the conditions under the usage of the Chebyshev interpolation polynomial and Lagrange interpolation polynomial, utilizing numerical simulation...
An electronic nose principally composed of a photo ionization detector (PID) was developed for rapid detection of volatile chlorinated hydrocarbons (VCHs) in contaminated soil. Interference gases such as benzene homologues were removed with a halogenated hydrocarbon RAE-SEP tube and the removal effect was estimated with gas chromatography (GC). Different concentrations of perchloroethylene (PCE) and...
In this paper, we present on the research of semantic-based 3D model retrieval system and its developed framework. We use RDF annotation to label 3D models for improving retrieval precision. The framework contains three parts: preprocessing, feature extraction and similarity measurement. The parts are recommended to analyze the 3D model. In the preprocessing part, we deploy PCA to make models normalization...
In recent years, the breast cancer has become one the most common cancer among women. The challenge faced currently is how to implement the early detection and accurate diagnosis for this disease. In this paper, we first introduced the definition of Bayesian network and discussed its advantages in the fields of medicine diagnosis and prognosis. Then, the original breast cancer data records used for...
The research object of core analysis is a system consisting of complex pore geometry, rock matrix and multi-phase filling. But in the traditional core experiment, the micro pore structure of core can't be directly observed or controlled. With image processing technology, CT image is enhanced and it highlights more useful information. Core image are basically binary processed in the core area. This...
Technological economy and managerial science circles are paying particular interested attention to unique micro characteristics of emerging technologies and challenges brought about by them to traditional managerial mentality and methods. This article analyzes market uncertainties of emerging technologies in the sense of concept of and research on emerging technologies; examines random dynamic characteristics...
The Goodman element is widely used to simulate the contact of two different materials, however sometimes it causes large error in stress calculation and element embedding. In this paper, a further modified contact element is proposed, the better element has its own thickness, furthermore, when composed, the element normal connecting form is adopted as the changing mode associated with normal displacement:...
How to enhance the practicing ability and how to suit the social demand for talent have become a serious problem for engineering specialties in universities which should be solved immediately. Then a software engineering base with a high jumping-off point, wide subjects and multiple purposes was established exclusively in a Chinese university. Through the creation of training courses, enhancement...
Traditional methods to modeling semantic similarity only compute the common characteristics and uncommon characteristics, without considering the structural relationship between concepts. In this paper, a new semantic similarity method based on information content is proposed. It evolves from feature model, the function λ in the algorithm which defines the relative importance of the uncommon characteristics,...
Based on the Lagrange interpolation polynomial algorithm, the error analysis is discussed in this paper. Firstly, we derive the Lagrange interpolation polynomial algorithm and introduce the shape function with the usage of related data figures. Secondly, how to derive the Lagrange interpolation function is also simply introduced. At last, some examples have been given to display the error analysis...
This paper mainly realizes the key-steps of 3D model retrieval, which are model preprocessing, feature extraction and similarity measure. Firstly, area weighted and random point projection to deal with translation and scale normalization of 3D model is employed. Secondly, feature extraction of 3D models is analyzed by studying the algorithm based on the content. The two algorithms based on shape histogram,...
During recent years, the transportation question has already become one of the serious problems in urban cities with increasing of number of motor vehicles. In order to solve the traffic jam and to manage the road traffic well, the foremost thing is to get the road information, especially the road vector data. To obtain the road data immediately, economically and accurately is worth to study and discuss...
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