With the explosion of new information and communication technologies and new devices, these offer increased opportunities to support everyday life but also have increased the requirements on the expected properties su...
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ISBN:
(纸本)9783642408465
With the explosion of new information and communication technologies and new devices, these offer increased opportunities to support everyday life but also have increased the requirements on the expected properties such as adaptability to user needs, behavior and particularities. These requirements are even more needed if the user is elderly, disabled or children. Properties like adaptability or learning capability, self-organization can be ensured by using interfaces that copies biological behavior. Thus, uses of Hybrid artificial Intelligent Systems can represent key solution for obtaining adaptive interfaces and systems. Modeling such complex systems is some time to computational intensive that's why we have proposed the use of hardware implemented neuralnetworks. Using Field Programmable Gate Arrays (FPGA) for hardware implementation allows parallel implementation of neurons increasing the processing speed. This paper aims to present the method developed by the authors for implementing artificialneuralnetworks, the results obtained and the possibility of use in some applications experimented by the authors support independent life of elderly people.
Because that the wear of the machine cutting tool of the aeroplane composite material processing is difficult to be monitored, in this paper a monitoring method based on the cellular neuralnetworks by the computer vi...
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ISBN:
(纸本)9783037858646
Because that the wear of the machine cutting tool of the aeroplane composite material processing is difficult to be monitored, in this paper a monitoring method based on the cellular neuralnetworks by the computer vision monitoring is proposed. The method uses the median filtering technology and the cellular neuralnetworks for the image denoising and the edge detection. Then the degree of the tool wear is judged by calculating the wear characteristic value of the cutting tool. The experimental results show that the system is rational and effective.
Biological vision systems have become highly optimized over millions of years of evolution, developing complex neural structures to represent and process stimuli. Moreover, biological systems of vision are typically f...
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ISBN:
(纸本)9783642386817
Biological vision systems have become highly optimized over millions of years of evolution, developing complex neural structures to represent and process stimuli. Moreover, biological systems of vision are typically far more efficient than current human-made machine vision systems. The present report describes a non-task-dependent image representation schema that simulates the early phase of a biological neural vision mechanism. We designed a neural model involving multiple types of computational units to simulate ganglion cells and their non-classical receptive fields, local feedback control circuits and receptive field dynamic self-adjustment mechanisms in the retina. We found that, beyond the pixel level, our model was able to represent images self-adaptively and rapidly. In addition, the improved representation was found to substantially facilitate contour detection. We propose that this improvement arose because ganglion cells can resize their receptive fields, enabling multiscale analysis functionality, a neighborhood referring function and a localized synthesis function. The ganglion cell layer is the starting point of subsequent diverse visual processing. The universality of this cell type and its functional mechanisms suggests that it will be useful for designing imageprocessing algorithms in future.
One of the most successful types of brain computer interfaces (BCI) is based on the P300 evoked potential (EP) elicited by oddball type of paradigms. Given a particular paradigm the main challenge is to obtain an effi...
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ISBN:
(纸本)9781479936878
One of the most successful types of brain computer interfaces (BCI) is based on the P300 evoked potential (EP) elicited by oddball type of paradigms. Given a particular paradigm the main challenge is to obtain an efficient and robust classification. This paper proposes the use of Random Forest (RF), a tree based ensemble learning method providing state-of-the-art generalization performance, for P300 BCI classification. The performance of the proposed method is compared to both the most commonly used classifiers for this problem: the support vector machine (SVM), and the step-wise linear discriminant analysis (SWLDA);and to two state-of-the-art methods: the multiple convolutional neuralnetworks (MCNN) and the ensemble support vector machine (ESVM). The proposed method has been evaluated on two public available BCI datasets: the BCI competition dataset ii for healthy subjects and the image driven paradigm dataset for disabled subjects. The proposed method demonstrated a significant improvement in classification accuracy on both datasets.
In this paper, we present an OpenCL implementation of a biologically sound spiking neural network with two goals in mind: First, applied neural dynamics should be accurate enough for bio-inspired training methods, thu...
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In our daily lives we often assess our surroundings to classify the situations we encounter. We do so based on the observations we make of our surroundings and information we obtain from other sources, using our knowl...
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ISBN:
(纸本)9780819493057
In our daily lives we often assess our surroundings to classify the situations we encounter. We do so based on the observations we make of our surroundings and information we obtain from other sources, using our knowledge and abilities. While this process is natural to us, if we want to give a similar task to a computer system then we have to take various steps in order to enable our computers to partially emulate the human capacity for observation, learning and making final decisions based on knowledge. As information complexity increases, there is an increasing demand for systems which can recognize and classify the objects presented to them. Recently there has been an increase in interest in application of computer image analysis in various research areas. One of these applications is food quality assessment, which aims to replace traditional instrumental methods. A computer visual system was developed to assess carrot quality, based on a single variety. Characteristic qualities of the variety were chosen to describe a suitable root. In the course of the study, digital photographs of carrot roots were taken, which were used as input data for the assessment performed by a dedicated computer program created as a part of the study.
Fuzzy property-oriented concept lattices are a formal tool for modeling and processing incomplete information in information systems. This paper relates this theory to fuzzy mathematical morphology, which scope, for i...
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ISBN:
(纸本)9783642386817
Fuzzy property-oriented concept lattices are a formal tool for modeling and processing incomplete information in information systems. This paper relates this theory to fuzzy mathematical morphology, which scope, for instance, is to process and analyze images and signals. Consequently, the theory developed in the concept lattice framework can be used in these particular settings.
Pressure ulcer is a clinical pathology of localized damage to the skin and underlying tissue caused by pressure, shear or friction. Diagnosis, care and treatment of pressure ulcers can result in extremely expensive co...
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ISBN:
(纸本)9783642386817
Pressure ulcer is a clinical pathology of localized damage to the skin and underlying tissue caused by pressure, shear or friction. Diagnosis, care and treatment of pressure ulcers can result in extremely expensive costs for health systems. A reliable diagnosis supported by precise wound evaluation is crucial in order to success on the treatment decision and, in some cases, to save the patient's life. However, current evaluation procedures, focused mainly on visual inspection, do not seem to be accurate enough to accomplish this important task. This paper presents a computer-vision approach based on imageprocessing algorithms and supervised learning techniques to help detecting and classifying wound tissue types which play an important role in wound diagnosis. The system proposed involves the use of the k-means clustering algorithm for image segmentation and a standard multilayer perceptron neural network to classify effectively each segmented region as the appropriate tissue type. Results obtained show a high performance rate which enables to support ulcer diagnosis by a reliable computational system.
"During the last decades Computational Intelligence has emerged and showed its contributions in various broad research communities (computer science, engineering, finance, economic, decision making, etc.). This w...
ISBN:
(纸本)9783319005614
"During the last decades Computational Intelligence has emerged and showed its contributions in various broad research communities (computer science, engineering, finance, economic, decision making, etc.). This was done by proposing approaches and algorithms based either on turnkey techniques belonging to the large panoply of solutions offered by computational intelligence such as data mining, genetic algorithms, bio-inspired methods, Bayesian networks, machine learning, fuzzy logic, artificialneuralnetworks, etc. or inspired by computational intelligence techniques to develop new ad-hoc algorithms for the problem under consideration. This volume is a comprehensive collection of extended contributions from the 4th International conference on Computer Science and Its applications (CiiA2013) organized into four main tracks: Track 1: Computational Intelligence, Track 2: Security & Network Technologies, Track 3: Information Technology and Track4: Computer Systems and applications. This book presents recent advances in the use and exploitation of computational intelligence in several real world hard problems covering these tracks such as imageprocessing, Arab text processing, sensor and mobile networks, physical design of advanced databases, model matching, etc. that require advanced approaches and algorithms borrowed from computational intelligence for solving them.
In order to propose a real-time pedestrian counting system, which can be used to estimate the number of pedestrians in the video pedestrians, the video sequence must be carried out according to the following procedure...
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