Spatial data mining refers to extracting and “mining” the hidden, implicit, valid, novel and interesting spatial or non-spatial patterns or rules from large-amount, incomplete, noisy, fuzzy, random, and practical sp...
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Spatial data mining refers to extracting and “mining” the hidden, implicit, valid, novel and interesting spatial or non-spatial patterns or rules from large-amount, incomplete, noisy, fuzzy, random, and practical spatial databases. Spatial association rules mining is extracted implicit association rules from spatial database. Many metallogenic association rules lie in geology spatial database. In this paper, a method for mineral resources prediction is proposed, which mainly including uncertainty transmission between qualitative and quantitative geology spatial data using cloud model, metallogenic association rules extracting using Apriori algorithm, and comprehensive assessment of rules. At last, an experiment of iron resources prediction is performed in Eastern Kunlun Mountains, China. The results indicated that the method proposed in this paper is suitable for regional metallogenic prediction.
The traffic state control scheme is a radio resource management (RRM) technique which optimizes the use of radio resources and reduces the mobile's power consumption. In this paper, we propose an efficient traffic...
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ISBN:
(纸本)8955191294
The traffic state control scheme is a radio resource management (RRM) technique which optimizes the use of radio resources and reduces the mobile's power consumption. In this paper, we propose an efficient traffic state control scheme which is based on the three-state model. It exploits utilization of limited radio resources by dynamically switching mobile states. We evaluate the performance of traffic state control schemes on a packet based wireless OFDMA system. The simulation result shows that proposed scheme provides efficient resource allocation in overloaded system.
In this study, a novel P300 based brain-computer interface (BCI) system using random set presentation pattern and employing the effect of face familiarity has been proposed and developed. While the effect of face fami...
ISBN:
(纸本)9781424479290
In this study, a novel P300 based brain-computer interface (BCI) system using random set presentation pattern and employing the effect of face familiarity has been proposed and developed. While the effect of face familiarity is widely studied in the cognitive neurosciences, it has so far not been addressed for the purpose of BCI. We compare P300-based BCI performances of a conventional row-column (RC)based paradigm with our novel approach. Our experimental results indicate stronger deflections of the ERPs in response to face stimuli and thereby improving P300-based spelling performance. This leads to a significant reduction of stimulus sequences required for correct character classification. These findings demonstrate a promising new approach for improving the speed and thus fluency of BCI-enhanced communication with the widely used P300-based BCI setup.
A unique method is presented for studying interfaces theoretically which allows one to deal directly with disorder at the interface. Using tight-binding Hamiltonians which give excellent descriptions of the valence an...
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A unique method is presented for studying interfaces theoretically which allows one to deal directly with disorder at the interface. Using tight-binding Hamiltonians which give excellent descriptions of the valence and conduction states of alpha -quartz and silicon, Bethe lattices are constructed for each material and bound together in a variety of configurations. The method enables one to avoid the problem of lattice mismatching and to deal individually with the effects of different bonding configurations, bond-angle distortions and bonding defects at the interface. The principal result of the theory is that there are no interface states in the gap for an interface which lacks distortions or defects. Bond-angle distortions induce a tail of gap states near the bottom of the silicon dioxide conduction band, an effect which occurs in bulk silicon dioxide as well. Broken-bond defects, on the other hand, lead to distinct interface states in the gap. Spedifically identified is a state observed experimentally as being due to a silicon dangling-bond defect in the interface.
In this paper we study and analyze the existing techniques in literature to extract the self-heating thermal resistance from the measured DC electrical behaviour of silicon-germanium heterojunction bipolar transistors...
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ISBN:
(纸本)9781509063833
In this paper we study and analyze the existing techniques in literature to extract the self-heating thermal resistance from the measured DC electrical behaviour of silicon-germanium heterojunction bipolar transistors (SiGe HBTs) focusing their dependence on device junction temperature and propose a simple extraction technique that shows superior accuracy than the existing extraction methodologies. Our approach is scalable and validated with model card simulations across different emitter geometries for a wide temperature range. We also present the applicability of our approach on measured data of a SiGe HBT fabricated in STMicroelectronics B55 process.
In this contribution we develop a strategy for segmentation of evolving biological structures in image sequences;Our approach is based oil combination of nonlinear tensor diffusion image smoothing and subjective surfa...
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ISBN:
(纸本)9783642022555
In this contribution we develop a strategy for segmentation of evolving biological structures in image sequences;Our approach is based oil combination of nonlinear tensor diffusion image smoothing and subjective surface based image segmentation. Since the fine cell structure would restrain the evolving segmentation function to achieve a shape of meaningful biological structures, we have to smooth properly the images in the sequence. To that goal we apply the nonlinear tensor diffusion which enhances the connectivity of bordering structure lilies and smoothes their inner parts. For the numerical implementations we use semi-implicit diamond-cell finite volume methods both for filtering and segmentation. We show application of the method in image segmentation of early stages of zebrafish embryogenesis.
Driving an isolated rat heart with external, periodic electrical stimuli results in electrical responses of the heart, recorded as epicardial surface potentials (ESP). The ESP signal is a recurrent signal, yet not per...
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Driving an isolated rat heart with external, periodic electrical stimuli results in electrical responses of the heart, recorded as epicardial surface potentials (ESP). The ESP signal is a recurrent signal, yet not perfectly periodic. The electrical system of the heart underlying such variability is investigated. ESP complexes are fitted by orthogonal Chebyshev polynomials resulting in a series of coefficients (CC) representing the data. Randomized surrogate data (SD) for ESP and CC are created. Correlation integrals, C(r), are calculated for ESP data, CC, representing the data, and their SD. The C(r) of the four data sets are compared. Results show that C(r) of ESP and CC are similar, while both differ from the C(r) of their SD. These results imply that the system underlying the ESP signal differs from an infinite dimensional system, and may be a finite dimensional dynamical system of a dimension around 5.
The present work experimentally investigates the reaction zone structure of syngas combustion under near-stoichiometric (Φglobal = 0.8), ultra-lean (Φglobal = 0.32) and diluted (MILD) conditions. The fuel contains 2...
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