Non-negative matrix factorization(NMF) is an unsupervised method whose aim is to find an approximate factorization Vn*m=Wn*r*Hr*m into non- negative matrices Wn*r and Hr**** paper presents an extension to NMF and disc...
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Non-negative matrix factorization(NMF) is an unsupervised method whose aim is to find an approximate factorization Vn*m=Wn*r*Hr*m into non- negative matrices Wn*r and Hr**** paper presents an extension to NMF and discusses the development and the use of damped Newton based the non-negative matrix factorization called DNNMF with good convergence properties for wood image representation by adding a diagonal correction to the stiffness matrix and employ- ing a Newton direction in the line search until any constraints become *** method can make sure the convergence of the cost functions and has been tested with color images based on the LBP feature histograms extracted by Local Binary Pattern(LBP)from the feature subspaces structured by *** experiments show that the proposed method is effectual and practical with good research values and potential applications.
Water content in crude oil is a very important data in oilfield production logging *** is also an indispensable parameter for the research of its development *** the process of exploitation,storage and transportation ...
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Water content in crude oil is a very important data in oilfield production logging *** is also an indispensable parameter for the research of its development *** the process of exploitation,storage and transportation of oilfield,high accuracy measuring of water content in crude oil can optimize production parameters and improve oil recovery *** GRNN(General Regression Neural Network) has high advantages in approximation ability,classification capacity and learning *** paper measured some parameters which have effect on the measurement of the water content of crude oil using the multi-sensor technology and processed these parameters using the K-means clustering,and then proposed a prediction model for water content in crude oil based on *** result of the simulation in MATLAB shows that the prediction model proposed in this paper has several advantages such as stable prediction result and small error and so on.
The furniture carving art in Qing Dynasty is the peak of Chinese furniture carving,And the modern machine carving is known as the ultimate art of the traditional furniture carving art in the Qing *** paper analyzes th...
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The furniture carving art in Qing Dynasty is the peak of Chinese furniture carving,And the modern machine carving is known as the ultimate art of the traditional furniture carving art in the Qing *** paper analyzes the problems of the traditional Qing Dynasty furniture carving and the modern machine carving in the context of the modern industry,and brings new thinking about the development and innovation of Qing Dynasty furniture carving art.
With the drastic competitions among the corporations,companies need different thinking to develop new *** understanding of consumer groups and study of products'fuzzy front end are made use of ***,based on the con...
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With the drastic competitions among the corporations,companies need different thinking to develop new *** understanding of consumer groups and study of products'fuzzy front end are made use of ***,based on the consumers'life experience and value proposal plays an important role during the process of product systematic design and *** paper will study these corresponding theories based on the consumers' life.
There usually exist narrow--deep areas in mould need to be machined in special *** identify the narrow-deep areas automatically,a narrow-deep feature (NF) recognition method in mould is ***,Feature hint is extracted f...
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There usually exist narrow--deep areas in mould need to be machined in special *** identify the narrow-deep areas automatically,a narrow-deep feature (NF) recognition method in mould is ***,Feature hint is extracted from the mould by making use of the characteristic of narrow-deep *** the elementary constituent faces (ECF) of a feature are found starting from the feature *** ECF is extended,clipped and the feature faces are obtained incrementally by geometric ***,basic narrow-deep features (BNF) related are combined *** proposed NF recognition approach provides an intelligent connection between CAD and CAPP for machining narrow-deep areas in mould in special machining.
The Advanced Telecommunications Computing Architecture (ATCA) standard describes a powerful and efficient platform. With multiple integrated solutions like redundancies and intelligent control mechanisms this technolo...
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The Advanced Telecommunications Computing Architecture (ATCA) standard describes a powerful and efficient platform. With multiple integrated solutions like redundancies and intelligent control mechanisms this technology is characterized with reliability estimated at the level of 99.99999 percent. These features make the standard perfect for use in projects like the free electron laser in Hamburg (FLASH) and the X-ray free electron laser (X-FEL) in order to help them meet the requirements of high availability and reliability. The ATCA standard incorporates advanced control systems defined in the intelligent platform management interface (IPMI) specification as one of the key elements. The entire ATCA implementation retains its functionality as long as the IPMI remains operational. The complexity level of the application increases, which results in preparing it to run and debugging being more difficult to perform. At the same time, only scrupulous elimination of any kind of possible deficiencies can enable the ATCA implementation to offer the desired level of reliability. Thus, diagnostics become crucial, which creates a need for additional tools performing these tasks during the preparations of both hardware and software for the ATCA application. The paper presents application aiding in development of the prototype carrier board by enabling the user of external PC station to perform diagnostic and control activities over the board. It helps in examining all its components at the stage of running the board, as well as in further operation analysis.
In this paper, we propose a RT level power reduction scheme which can be used for the applications that require ultra-low power consumption. A novel wasting-toggle-rate (WTR) based clock power reduction technique is i...
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ISBN:
(纸本)9781424450343;9781424450350
In this paper, we propose a RT level power reduction scheme which can be used for the applications that require ultra-low power consumption. A novel wasting-toggle-rate (WTR) based clock power reduction technique is introduced. It compares the WTR of a stimulus with the pre-computed threshold WTR of the circuit, and clock gating is applied to the circuit only if there is power-saving benefit. It considers not only clock enable signal, but also data signal and wasting toggle rate of the clock in a fine-grained manner. The proposed technique is implemented at RT level in a complete CAD solution. We have tested the proposed technique on real industrial multimedia-mobile-processor design. For the accuracy of the power optimization results, all the power estimation results are measured at gate level after synthesis by using industrial 65 and 90 nanometer technology libraries. The experimental results show that using 65 nanometer technology, the technique reduces 35.46% power comparing with non-clock gating design and 18.80% power comparing with clock-gating design by Power Compiler; and that using 90 nanometer technology, the technique reduces average 39.34% total power comparing with non-clock gating design and 27.76% total power comparing with clock-gating design by Power Compiler. For the design overhead of the proposed technique, it increases 1.17% of the critical path delay and reduces 0.81% of the area for the whole circuit comparing with the original circuit in 65 nanometer technology, and increases 2.75% of the critical path delay and reduces 0.75% area for whole circuit in 90 nanometer technology.
Purely rotation-based self-calibration receives the most attention among various self-calibration methods owing to its algorithmic ***,it is actually impossible to ensure that the camera motion for this kind of self-c...
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Purely rotation-based self-calibration receives the most attention among various self-calibration methods owing to its algorithmic ***,it is actually impossible to ensure that the camera motion for this kind of self-calibration is a pure ***,significant errors of calibrating results could be inevitably introduced because of ignoring nonzero *** this paper,we propose a practical and effective approach to improve the purely rotationbased self-calibration *** to the fact that the rotational angles between images have a very strong impact on the calibrating errors from the translations,we compute the rotational angles between images prior to calibrating,and then use different and very appropriate strategies for self-calibration in different angle *** data has been used to validate the proposed approach.
In this paper,started with the theory of the visualized marketing science and exhibition design,adopted the method of combining the theory with the instances,the effect on the terminal visualized design of the dress b...
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In this paper,started with the theory of the visualized marketing science and exhibition design,adopted the method of combining the theory with the instances,the effect on the terminal visualized design of the dress band is analyzed,which includes the lifecycle of the stores design,the goods display and culture atmosphere of the *** also is discussed that the function of the modern media and the new communication means on the terminal visualized design of the dress band.
Image matching is an effective auxiliary location method for the precise guide weapon system. The image sensor of image matching system is used to real-time gather the object image around target or that throughout the...
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Image matching is an effective auxiliary location method for the precise guide weapon system. The image sensor of image matching system is used to real-time gather the object image around target or that throughout the flight way, which will be compared with the reference data of the upper computer in the missile, to process and locate the correct position of the target relative to the missile. The performance of the image matching system is vitally interrelated to the geographic and conditions (Ground image characteristics) of the operation region. So the basic operation condition of the image matching system and matching region selection in the special geographic conditions is regarded as the main contents to study. Taken the developing demands of an important national defense weapon system as the background, we carry out a series of theory analysis and simulation study base on the actual data, in order to improve the matching accuracy of the down-look image matching system and determine the main factors influencing the operation performance of the image matching system in further. And we build a set of functional relationship relative to the performance and specifications of the image matching system, image statistic parameters and operation conditions. By analyzing and verifying these functions relationship, finally we point out the parameters influencing the image matching system under different environmental conditions, and point out principle thought and method of selecting image matching area according to these parameters. These study results have been used and proved in the product development. And it provides the basis for us to determine the selection regulations of matching area of down-look system, laying a foundation for improving the operation performance of the image matching system in different environmental conditions.
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