Software is one of the most complex systems produced by humans. Software development is therefore also complex task and does not result only in production of final software but also produces many additional artifacts....
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Software is one of the most complex systems produced by humans. Software development is therefore also complex task and does not result only in production of final software but also produces many additional artifacts. To ensure quality of final product, software development process must be controlled and proper decisions have to be taken at appropriate time. To be able to make such decision tools are required that can measure intermediate results. Therefore metrics are used to determine state of the development process. Most of metrics concentrate on specific artifact at specific project phase. Those metrics give different quantities and can be hardly compared. In this paper, we present alternative metrics for measuring any software artifact in any project phase
An architecture design of the intelligent agent for speech recognition and translation is presented in this paper. The design involves the agent architecture and the method of the agent is used. The architecture desig...
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An architecture design of the intelligent agent for speech recognition and translation is presented in this paper. The design involves the agent architecture and the method of the agent is used. The architecture design shows the relationship between the intelligent agent and speech recognition also translation. The intelligent agent for speech recognition is called S-AGENT and T-AGENT for translation. The purpose of the S-AGENT is to facilitate for transmitting the speech data via Internet or network. The S-AGENT is acting as a data transmit control to ensure the transmitted speech data is securely delivered. The task of the T-AGENT is different from the S-AGENT. The T-AGENT is acting as information retrieval. It processes the output from the speech recognition and translates the output based on its information memory database. If the information cannot be found on its memory, it searches the information required from the database dictionary provided. At the same time, it learns the information and saves the information to its memory for the future purpose.
In this paper, we discuss the relational algebra and recursive relationships between binary and ternary relationships in entity-relationship modeling. We define the interpretation of the recursive tables that can be a...
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In this paper, we discuss the relational algebra and recursive relationships between binary and ternary relationships in entity-relationship modeling. We define the interpretation of the recursive tables that can be applied to the complicated relationships having the same participating entities. We propose a new approach to modeling that is suitable for representing self-similar objects and for creating hierarchical structures. It combines methods of the set theory for the recursive relations within a single modeling paradigm, allowing users to define self-similar, partially self-similar, or hierarchical systems in a consistent and flexible manner. The use of recursive relationships in the definitions of self-similar objects yields representations that can be rendered at varying levels of detail or precision at run time.
Smith predictor is a well-known method for compensating time delay in control systems. Therefore, it has been applied to many systems with time delay so far. However, delay time should be estimated precisely in this m...
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Smith predictor is a well-known method for compensating time delay in control systems. Therefore, it has been applied to many systems with time delay so far. However, delay time should be estimated precisely in this method. So, if time delay is fluctuant and unpredictable, like the communication delay over the Internet, performance of Smith predictor deteriorates. This paper proposes "Communication Disturbance Observer". It regards the error caused by time delay as disturbance torque (or acceleration), then it can observe and compensate the error. Furthermore, it doesn't need to estimate the value of delay time; therefore it can be applied to control systems with fluctuant and unpredictable time delay. It can be said that control system with "Communication Disturbance Observer" is robust to time delay and fluctuation of that. Effectiveness and robustness of proposed method is shown by result of simulation and experiment. In experiment, master-slave manipulator was used over the Internet. We were able to get the sense of touch from the environment of remote site.
Speech recognition and understanding have been studied for many years. The neural network is well-known as a technique that is able to classify nonlinear problems. Much research has been done in applying neural networ...
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Speech recognition and understanding have been studied for many years. The neural network is well-known as a technique that is able to classify nonlinear problems. Much research has been done in applying neural networks to solving the problem of recognizing speech such as Arabic. Arabic offers a number of challenges to speech recognition. We propose a fully-connected hidden layer between the input and state nodes and the output. We also investigate and show that this hidden layer makes the learning of complex classification tasks more efficient. We also investigate the difference between LPCC (linear predictive cepstrum coefficients) and MFCC (Mel-frequency cepstral coefficients) in the feature extraction process. The aim of the study was to observe the differences in the 29 letters of the Arabic alphabet from "alif" to "ya". The purpose of this research is to upgrade the knowledge and understanding of Arabic alphabet or words using a fully-connected recurrent neural network (FCRNN) and backpropagation through time (BPTT) learning algorithm. Six speakers (a mixture of male and female) in a quiet environment are used in training.
This paper studies the H/sub /spl infin// controller order reduction due to the stable invariant zeros and its application to a magnetic suspension system. First, we explore the H/sub /spl infin// controller order red...
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This paper studies the H/sub /spl infin// controller order reduction due to the stable invariant zeros and its application to a magnetic suspension system. First, we explore the H/sub /spl infin// controller order reduction due to the stable complex invariant zeros to address how we can go beyond the known results for the order reduction due to the unstable or real stable invariant zeros. We propose sufficient conditions for the existence of the reduced-order H/sub /spl infin// controllers due to the stable complex invariant zeros. If the proposed sufficient conditions are satisfied, we present two LMI based procedures to compute the reduced order H/sub /spl infin// controllers. Second, we address the application of these theoretical results to a mixed sensitivity problem for a magnetic suspension system with a flexible beam. The numerical computations of the reduced-order controllers and the comparison with the full-order controllers are reported. The numerical investigation carried out validates the proposed theoretical results.
The challenge of human factor influence for analyzing the reliability and safety of car transportation is discussed. An analysis of the density and the kind of use among the drivers in different regions and seasons of...
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The challenge of human factor influence for analyzing the reliability and safety of car transportation is discussed. An analysis of the density and the kind of use among the drivers in different regions and seasons of the year is made. The possibilities to detect the driver falling into a relaxant, somnolent or micro-sleep stage by the use of suitable combination of secondary factors are investigated. The operation of the driver in the moving car is an example of very complicated interaction between several very heterogeneous systems.
In this paper a design methodology of 'distributed' energy systems is presented. These are defined as energy systems with unregulated distributed generators connected to the lower voltage levels. The cornersto...
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In this paper a design methodology of 'distributed' energy systems is presented. These are defined as energy systems with unregulated distributed generators connected to the lower voltage levels. The cornerstone in their design is the steady-state analysis of distribution systems under uncertainty in energy in energy generation and consumption. Based on this definition, the structure of a system-design tool is proposed. The system is described by the steady-state model, while all different types of distributed generators (dispatchable or nondispatchable technology concepts) are treated in a unifying manner through probabilistic modelling. The modelling of the interdependence between the random input variables is treated by introducing the concepts of comonotonicity, countermonotonicity and independence between distributed generations and distributed consumptions as stochastic bounds describing extreme statistical dependence between the input random variables.
A test structure and method for two-dimensional analysis of fabrication process and reliability of MOSFET using a photoemission microscope are presented. Arrays of 20/spl times/10(=200) MOSFETs were successfully measu...
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A test structure and method for two-dimensional analysis of fabrication process and reliability of MOSFET using a photoemission microscope are presented. Arrays of 20/spl times/10(=200) MOSFETs were successfully measured at a time and evaluated the fluctuation of their characteristics. The fluctuation of hot-carrier-induced photoemission intensity was larger as gate length becomes smaller. Although the intensity fluctuation of photoemission in the same MOSFET was within small range, the fluctuation all over the MOSFET array was relatively large and independent of the position in the array.
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