When observations of time series are defined linguistically or do not follow the assumptions required for time series theory, the classical methods of time series analysis do not cope with fuzzy numbers and assumption...
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ISBN:
(纸本)9783540896180
When observations of time series are defined linguistically or do not follow the assumptions required for time series theory, the classical methods of time series analysis do not cope with fuzzy numbers and assumption violations. Therefore, forecasts are not reliable. [8], [9] gave a definition of fuzzy time series which have fuzzy observations and proposed a forecast method for it. In recent years, many researches about univariate fuzzy time series have been conducted. In [6], [5], [7], [4] and [10] bivariate fuzzy time series approaches have been proposed. In this study, a new method for high order bivariate fuzzy time series in which fuzzy relationships are determined by artificial neural networks (ANN) is proposed and the real data application of the proposed method is presented.
In this work, we present a generalized scheme for embedding watermark in digital images used for commercial aims. Genetic Programming is used to develop appropriate visual tuning functions, in accordance with Human Vi...
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ISBN:
(纸本)9783540896180
In this work, we present a generalized scheme for embedding watermark in digital images used for commercial aims. Genetic Programming is used to develop appropriate visual tuning functions, in accordance with Human Visual System, which cater for watermark imperceptibility-robustness trade off in the presence of a series of probable attacks. The use of low-density parity check codes for information encoding further enhances watermark robustness. Experimental results on a dataset of test images show marked improvement in robustness, when compared to the conventional approaches with the same level of visual quality. The proposed scheme is easy to implement and ensures significant robustness for watermarking a large number of small digital images.
In many areas of chemistry there are problems to which genetic algorithms (GA's) can easily be applied. Several chemistry problems in which GA's are used will be examined. Currently they are used mainly for th...
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ISBN:
(纸本)9783540896180
In many areas of chemistry there are problems to which genetic algorithms (GA's) can easily be applied. Several chemistry problems in which GA's are used will be examined. Currently they are used mainly for the generation of regression curves, protein folding, structure elucidation, parameterizations, and system optimization. Perhaps it is the GA simplicity and ease of use that has facilitated the widespread use of the softcomputing method in chemistry. This paper focuses on how GA's have been modified to solve discipline specific problems in the chemical sciences.
Genetic Algorithm (GA) and Singular Value Decomposition (SVD) are deployed respectively for optimal design of Gaussian membership functions of antecedents, and linear coefficients vector of consequents, in ANFIS (Adap...
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ISBN:
(纸本)9783540896180
Genetic Algorithm (GA) and Singular Value Decomposition (SVD) are deployed respectively for optimal design of Gaussian membership functions of antecedents, and linear coefficients vector of consequents, in ANFIS (Adaptive Neuro-Fuzzy Inference Systems) networks used for prediction of the 3rd month ahead coastal wave impacts. For this purpose time series parameters chosen by GMDH (Group Method of Data Handling) modeling are utilized. The aim of such modeling is to demonstrate how ANFIS network can be coupled with GMDH network and to show how such combination by hybrid GA/SVD designed ANFIS networks result in precise models.
Automatic text categorization has always been an important application and research topic since the inception of digital documents. With the prevalence of digital documents and the wide use of e-mail and web documents...
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ISBN:
(纸本)9783540896180
Automatic text categorization has always been an important application and research topic since the inception of digital documents. With the prevalence of digital documents and the wide use of e-mail and web documents, text categorization is regaining interest and is becoming a central problem in digital text collections. There have been many approaches to solve this problem, mainly from the machine learning community. This paper explores the use of association rule mining in building a text categorization. This approach has the advantage of a very fast training phase, and the rules of the classifier generated are easy to understand and manually tuneable. The investigation leads to conclude that association rule mining is a good and promising strategy for efficient automatic text categorization.
In electrical heating systems. the electrical power consumption should be lower than the Contracted Power Limit. Energy distribution devices are used to solve this problem, but they are only concerned with the electri...
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ISBN:
(纸本)9783642004865
In electrical heating systems. the electrical power consumption should be lower than the Contracted Power Limit. Energy distribution devices are used to solve this problem, but they are only concerned with the electrical energy. We claim that this energy distribution must also consider the comfort level in the building. In this work, an electrical energy distribution MAS for coordinating the electrical heaters is proposed. The MAS is responsible for both objectives: the electrical power must be lower than the Contracted Power Limit and the comfort level in the building must be maintained if sufficient power is available. The MAS is now being implemented in a real world application of an electrical heating system marketed by a local company.
Facial animation denotes all those systems performing speech synchronization with an animated face model. These kinds of systems are named Talking Heads or Talking Faces. At the same time simple dialogue systems calle...
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ISBN:
(纸本)9783642032011
Facial animation denotes all those systems performing speech synchronization with an animated face model. These kinds of systems are named Talking Heads or Talking Faces. At the same time simple dialogue systems called chatbots have been developed. Chatbots are software agents able to interact with users through pattern-matching based rules. In this paper a Talking Head oriented to the creation of a Chatbot is presented. An answer is generated in form of text triggered by an input query. The answer is converted into a facial animation using a 3D face model whose lips movements are synchronized with the sound produced by a speech synthesis module. Our Talking Head exploits the naturalness of the facial animation and provides a real-time interactive interface to the user. Besides, it is specifically suited for being used on the web. This leads to a set of requirements to be satisfied, like: simple installation, visual quality, fast download, and interactivity in real time. The web infrastructure has been realized using the ClientServer model. The Chatbot, the Natural Language Processing and the Digital Signal Processing services are delegated to the server. The client is involved in animation and synchronization. This way, the server can handle multiple requests from clients. The conversation module has been implemented using the A.L.I.C.E. (Artificial Linguistic Internet Computer Entity) technology. The output of the chatbot is given input to the Natural Language Processing (Comedia Speech), incorporating a text analyzer, a letter-to-sound module and a module for the generation of prosody. The client, through the synchronization module, computes the time of real duration of the animation and the duration of each phoneme and consequently of each viseme. The morphing module performs the animation of the facial model and the voice reproduction. As a result, the user will see the answer to question both in textual form and in the form of visual animation.
Privacy perservation, in terms of sensitive data access and management, is an important;feature of decentralized calendar systems. Indeed, when users delegate their sensitive data such as timetables to all autonomous ...
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ISBN:
(纸本)9783642004865
Privacy perservation, in terms of sensitive data access and management, is an important;feature of decentralized calendar systems. Indeed, when users delegate their sensitive data such as timetables to all autonomous agent, this one executes many automatic data processing without their intervention: users lost. a part, of their data control. To tackle this problem, we propose in this article to extend a concrete application of calendars management multi-agent, system by implementing a specific protocol for sensitive data transact,ions that, represents the first step of privacy preservation in multi-agent systems.
Robots are one of the most representative fields in mechatronics, this article presents the development process of a mechatronic system, taking into account 3 DOF parallel robots, pointing out the integration of the e...
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ISBN:
(纸本)9783642032011
Robots are one of the most representative fields in mechatronics, this article presents the development process of a mechatronic system, taking into account 3 DOF parallel robots, pointing out the integration of the elements and showing the challenges needed to be faced for the interfaces between the robot modules and the GUI (Graphical User Interface). The interface uses virtual reality to provide the user with an interactive 3D graphical representation of the parallel robot.
The industrialization process of cashew chestnut involves a decision making based on subjective criteria. It must be analyzed by the production manager, representing the decision maker, always aiming the choice of alt...
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ISBN:
(纸本)9783540896180
The industrialization process of cashew chestnut involves a decision making based on subjective criteria. It must be analyzed by the production manager, representing the decision maker, always aiming the choice of alternatives that maximize the entire almond index at the end of the process. Currently, this choice is carried out by the historical data verification, or considering the tacit experience of the manager. Therefore, the decision maker tends to miss the choice of the best possible solution. Due to the problem nature and to the necessity of the presentation of a good solution, the ZAPROS method was applied to the process. In the case study, the ZAPROS method application result was the relative and absolute ordinance of the alternatives, according to the DM's preferences. A case study was realized at the most critical part of the industrialization process of the cashew chestnut.
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