Parameter estimation is the critical part of system identification and regression analysis and it relates to the application and promotion of nonlinear model. The parameter estimation problem of nonlinear model is tra...
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This paper provides a navigation system model and some critical implementation techniques. Softman is introduced into this system, and its migration model and strategy are all proposed, which can improve the Softman&#...
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HumanComputer Interaction (HCI) research groups have recently attracted to the issue of emotion or affect especially in the examination of interaction and design. With recent technological advances, human users are ab...
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HumanComputer Interaction (HCI) research groups have recently attracted to the issue of emotion or affect especially in the examination of interaction and design. With recent technological advances, human users are able to interact with computers in ways which are almost impossible. New modalities for computer interaction with human emotion such as skin conductivity, heart rate, brain signals and physiological signals are emerging. It shows that emotion plays an important role in human communication and interaction, therefore allow people to express emotion beyond the verbal domain. This issue motivates the investigation of two modals of emotional processing in the application of HCI and User Interface Design (UID) areas. The result of this study is directed to the development of an affective interaction design storyboard tool called SCOUT. The paper addresses significant roles of Multimodal Emotional Processing methods for SCOUT, which includes different types of Psychometric usability methods and Physiological emotional processing methods. The application of Psychometrics and Multimodal Emotional Processing are then, analyzed. The results of the analysis revealed that the use of both processing methods would enrich the evaluation of emotion in humancomputer interaction study.
Program translation takes a program written in some source language and creates an equivalent program in some target language. This process is very important in software maintenance, particularly when the source progr...
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software cost and time estimation is the process of estimating the cost and time required to develop a software system. software cost and time estimation supports the planning and tracking of software projects. Effect...
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ISBN:
(纸本)9781424455690
software cost and time estimation is the process of estimating the cost and time required to develop a software system. software cost and time estimation supports the planning and tracking of software projects. Effectively controlling the expensive investment of software development is one of the important issues in software project management. Estimating software development cost with high precision is still a great challenge for project managers, because it allows for considerable financial and strategic planning. software cost estimation refers to the predictions of the likely amount of effort, time, and staffing levels required to build a software system. A very helpful form of cost estimation is the one made at an early stage during a project, when the costing of the project is proposed for approval. However, estimates at the early stages of the development are the most difficult to obtain. In this paper a novel Constructive Cost Model (COCOMO) based on soft computing approach is proposed for software cost estimation. This model carries some of the desirable features of neural networks approach, such as learning ability and good interpretability, while maintaining the merits of the COCOMO model. Unlike the standard neural networks approach, the proposed model can be interpreted and validated by experts, and has good generalisation capability. The model deals effectively with imprecise and uncertain input and enhances the reliability of software cost estimates. From the experimental results, it was concluded that, by the proposed neural network model, the accuracy of cost estimation can be improved and the estimated cost can be very close to the actual cost.
Release planning activity is one of the important issues that project managers are always concerned about, because generation of a good quality release guaranties success of a product. PARSEQ method is aimed to improv...
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Release planning activity is one of the important issues that project managers are always concerned about, because generation of a good quality release guaranties success of a product. PARSEQ method is aimed to improve release planning decisions that are made in previous releases and it is based on retrospective analysis as a way to look back at the events taken place. This method was introduced by Lena Karlsson and Björn Regnell based on a new consideration and re-prioritizing of requirements to find possible improvement decisions for release planning in future releases. In this paper, PARSEQ method is evaluated and investigated in release planning improvement. We used a case study in a software banking project to conduct this evaluation.
software product lines are a successful approach to software reuse. To a significant extent, the development of product lines is complicated by crosscutting concerns. This is especially true for product line configura...
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software product lines are a successful approach to software reuse. To a significant extent, the development of product lines is complicated by crosscutting concerns. This is especially true for product line configuration. Aspect-oriented programming can often help to develop product lines more effectively, but this is not always so. This paper shows it is possible to sublimate the expert knowledge about using aspect-oriented programming in product line development in the form of independently applicable guidelines by proposing an approach to expressing such guidelines. A complete guideline entitled Implementing Mandatory Features with no Crosscutting Concerns is presented as an example. The guidelines have been evaluated in a product line case study that confirmed their applicability. The results of this study obtained by the application of a number of metrics are provided and discussed in the paper.
Automatic speech recognition (ASR) has been for a long time an active research area with a large variety of applications in human-computer intelligent interaction. The most used technique in this field is the Hidden M...
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Automatic speech recognition (ASR) has been for a long time an active research area with a large variety of applications in human-computer intelligent interaction. The most used technique in this field is the Hidden Markov Models (HMMs) which is a statistical and extremely powerful method. The HMM model parameters are crucial information in HMM ASR process, and directly influence the recognition precision since they can make an excellent description of the speech signal. Therefore optimizing HMM parameters is still an important and challenging work in automatic speech recognition research area. Usually the Baum-Welch (B-W) Algorithm is used to calculate the HMM model parameters. However, the B-W algorithm uses an initial random guess of the parameters, therefore after convergence the output tends to be close to this initial value of the algorithm, which is not necessarily the global optimum of the model parameters. In this paper, a Genetic Algorithm (GA) combined with Baum-Welch (GA-BW) is proposed; the idea is to use GA exploration ability to obtain the optimal parameters within the solution space.
Non-functional attributes of software are considered as major element for improving software quality. However,achieving these attributes in a software system is not a simple task,bearing in mind the relationships betw...
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ISBN:
(纸本)9781424463473
Non-functional attributes of software are considered as major element for improving software quality. However,achieving these attributes in a software system is not a simple task,bearing in mind the relationships between these attributes,and the diversity of software domains. This paper proposes a new guideline-based software development approach that provides the suitable guidelines for the software engineer,throughout the phases of software development for the purpose of achieving a high quality level of non-functional attributes of software.
In this paper we discuss the development and implementation of an Arabic automatic speech recognition engine. The engine can recognize both continuous speech and isolated words. The system was developed using the Hidd...
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In this paper we discuss the development and implementation of an Arabic automatic speech recognition engine. The engine can recognize both continuous speech and isolated words. The system was developed using the Hidden Markov Model Toolkit. First, an Arabic dictionary was built by composing the words to its phones. Next, Mel Frequency Cepstral Coefficients (MFCC) of the speech samples are derived to extract the speech feature vectors. Then, the training of the engine based on triphones is developed to estimate the parameters for a Hidden Markov Model. To test the engine, the database consisting of speech utterance from thirteen Arabian native speakers is used which is divided into ten speaker-dependent and three speaker-independent samples. The experimental results showed that the overall system performance was 90.62%, 98.01 % and 97.99% for sentence correction, word correction and word accuracy respectively.
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