A constitutive model of rocks considering the effects of plastic hardening, distortional dilation and damage softening is described. The ground motions caused by the underground explosions were studied numerically wit...
详细信息
A constitutive model of rocks considering the effects of plastic hardening, distortional dilation and damage softening is described. The ground motions caused by the underground explosions were studied numerically with the model. The numerical results show that both the waveforms and the peak velocities are in good agreement with the experimental and numerical data published by other research groups.
This paper presents a hierarchical self-organizing neural network model and its application in the learning of the trajectory distribution patterns for event recognition. By linking the side neurons, some lines are fo...
详细信息
This paper presents a hierarchical self-organizing neural network model and its application in the learning of the trajectory distribution patterns for event recognition. By linking the side neurons, some lines are formed. Each line becomes an internal net of the hierarchical self-organizing neural network. Corresponding to the hierarchical self-organizing neural network model, the authors define two neighborhoods, namely the neuron neighborhood and the internal net neighborhood. The neurons in both neighborhoods will update their weights to different extent. In this way, the trajectory distribution patterns can be learned. Using the learned patterns, the authors consider both local and global anomaly detection as well as object behavior prediction. Experimental results demonstrate the effectiveness of the approach to trajectory analysis.
The reasons behind the innovation successes and failures in the Taiwanese electronics industry have been widely discussed. This paper makes its contribution to the debate by comp.ring the innovation outcomes for three...
The reasons behind the innovation successes and failures in the Taiwanese electronics industry have been widely discussed. This paper makes its contribution to the debate by comp.ring the innovation outcomes for three products: comp.imentary metal oxide silicon (CMOS) logic, dynamic random access memory (DRAM) and active matrix liquid crystal displays (AMLCDs). Four success factors are identified to characterize products where the Taiwanese pursue innovation: granularity of production;absence of need for large amounts of patient capital;volume production;and manufacturing-based production. In turn, this paper argues that products exhibiting these characteristics succeed because such characteristics draw upon the inst.tutional and historical strengths of the Taiwanese economy. The paper broadens the inquiry to assess what lessons the Taiwanese innovation successes have for developing countries. It is argued that the new lesson Taiwan has to offer is that countries can become innovators by concentrating their human and financial capital through granularization of production.
A fast algorithm based on two dimensions template sampling was presented and optimized. It sets the search step and sample sequence to reduce the comp.tational comp.exity. It includes two search phases, which settle d...
详细信息
A fast algorithm based on two dimensions template sampling was presented and optimized. It sets the search step and sample sequence to reduce the comp.tational comp.exity. It includes two search phases, which settle down the problem of target subimage rotating and guarantee to find the matching positions precisely. The simplicity of the algorithm facilitates its hardware implementation. It is applied to the image locating system of fully automatic gold wire bonder, and the real time demand (<20 ms) and precision demand (±4 μm) of the system are met well. Experiment results demonstrate that the algorithm is robust and immune to noise.
The booming of data intensive comp.ting and the exploration of amounts of data challenge the current information processing ways. Data grid emerges as a solution to the problems confronted by processing of mass distri...
详细信息
The booming of data intensive comp.ting and the exploration of amounts of data challenge the current information processing ways. Data grid emerges as a solution to the problems confronted by processing of mass distributed and heterogeneous data. It has wide applications in the areas like earth sci.nces, high-energy physics, medicine, cooperated design, etc. A distance education system of digital human in local network is introduced, which contains functions as teaching, discussing, practicing, tutoring. The data grid based mass data management system provides an efficient, safe and transparent data accessing for large datasets of digital human. An example proves the feasibility and validity of the solution.
By using the given minimum support and minimum confidence, a large set of fuzzy association rules can be discovered from the database. An algorithm for mining the most interesting fuzzy association rules is presented....
详细信息
By using the given minimum support and minimum confidence, a large set of fuzzy association rules can be discovered from the database. An algorithm for mining the most interesting fuzzy association rules is presented. In this algorithm, the discovered rules are grouped by the same consequent, and rules in each sub-group are clustered to select the most interesting fuzzy association rules. The example shows that this algorithm can mine the most interesting fuzzy association rules for the users. In practice, the database is updated frequently rather than static. So the fuzzy association rules must be maintained. An incremental update algorithm for fuzzy association rules is also presented. This algorithm uses the last mining results and incrementally updates fuzzy association rules. The example shows that this algorithm can avoid the repeated cost and discovers new fuzzy association rules.
A discrete algorithm for grayscale image resizing through binary image zooming in 3D space is presented. The method can help to keep the edges and borders in the zoomed images as clear and natural as possible, with ar...
详细信息
A discrete algorithm for grayscale image resizing through binary image zooming in 3D space is presented. The method can help to keep the edges and borders in the zoomed images as clear and natural as possible, with arbitrary real positive scaling factors. When an image is enlarged, it can be still with vivid color, and express the appearance of original image faithfully. When the size of an image is reduced, the most important features of the image can also be preserved. Experiments show that the new method is effective, stable and convenient for image zooming, and it is also more advantageous in border and edge preserving comp.red to many common commercial software. We have applied the algorithm in our medical image processing system.
Nanowires and nanotubes are now at the forefront of materials sci.nce at the nanoscale. This article starts with introductory comments about nanowires and nanotubes and then addresses in more detail the special struct...
详细信息
A new burst assembly technique for supporting quality of service (QoS) in optical burst switching (OBS) networks was proposed. It consists of the adaptive-threshold burst assembly algorithm and QoS-based random offset...
详细信息
A new burst assembly technique for supporting quality of service (QoS) in optical burst switching (OBS) networks was proposed. It consists of the adaptive-threshold burst assembly algorithm and QoS-based random offset-time scheme. The algorithm is fit well to multi-class burst assembly and not only matches with IP QoS mechanism based on packet classification, and also utilizes fairly and efficiently assembly capacity. The offset-time scheme can support OBS QoS, and smooth the traffic. It builds on the token-bucket model and the modified Just-enough-time (JET) with burst segment selective discard (BSSD). BSSD only discards the burst segment containing lower class packets during conflict. The paper also provides the simulation for the performance improvement of technique in packet loss probability CPLP).
This paper investigates the decomp.sition of diagnosis problem, gives theorem discrimination to the decomp.sition of model-based diagnosis problem, characterizes how to decomp.se diagnosis problem by using the observa...
详细信息
This paper investigates the decomp.sition of diagnosis problem, gives theorem discrimination to the decomp.sition of model-based diagnosis problem, characterizes how to decomp.se diagnosis problem by using the observations of the system and the assuming inst.ntiations of some variables, proposes the concept of conditioned decomp.sable diagnosis problem, further characterizes the decomp.sition of model-based diagnosis problem, gives a best-first algorithm to how to make best use of the assuming inst.ntiations of some variables to decomp.se diagnosis problem, and proves the correctness, comp.eteness and comp.exity of the algorithm. The results in the paper can provide the theoretical evidence for improving the effectiveness of diagnosing the tree-like structured systems.
暂无评论