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Pursuing higher speed of digital signal processing is the non-stop goal for human. When digital filter has been chosen, how to upgrade the speed of filter signal processing is a challenge for software engineer. This paper analyzes the techniques of sliding window and pipeline, and illustrates the application with two order Butterworth filter as an example. These techniques can condense the signal...
To improve the network invulnerability, most strategies are designed for optimizing the network capacity to prevent the cascade overload without considering the network robust under external attacks. To address this problem, based on the classical scale-free network model, this paper proposed a link-based network topology optimization algorithm referred as LNTO. The algorithm removed links among hub...
Mining frequent item sets from a large dense type database may generate a large number of frequent item sets, and it may generate redundant information in some cases. To address these problems, a weighted frequent item sets mining algorithm based on perpendicular data format is proposed in this paper. The algorithm uses constrains of support and weight together, and then by uses item sets extension...
This paper presents an object recognition algorithm for machine vision in the factory robot automation application. Especially when the object is rotational states, the automated machine needs the exact angle and recognition algorithm of high reliability with fast processing speed. Therefore, in this paper, we propose a method focusing on the robust-rotation recognition algorithm by using a CCD (Centroid...
In this paper, we propose a new image labeling algorithm for object analysis of the binary images. With one-scan process, the foreground (object) pixel is assigned a provisional label, and label equivalences between provisional labels are merged later. Our approach merges the region of the labeling of the foreground image during the one-scan labeling process. Compared with the existing conventional...
This paper presents a novel adaptive sampling method for transient electrocardiogram (ECG) signal detection. The main contribution of our approach is to implement an efficient adaptive sampling scheme with dictionary-based redundant match processing that enhances the power and memory capacity performance in the electrocardiogram sensor nodes. In our scheme, the architecture of the adopted redundant...
Viewing three-dimensional display causes visual fatigue which is considered as a primary task to be solved for a wide spreading of the three-dimensional devices and contents. In this paper, we have proposed Low Visual Fatigue Stereoscopic Auto Focus to reduce the visual fatigue of viewing a three-dimensional display in stereo camera. The suggested algorithm analyzes the input scene and finds the best...
In our related work, we proposed Cognitive Stereo Auto Focus for stereo camera. Instead of moving optical axis, Cognitive Stereo Auto Focus shifts one side image to the opposite side for setting focus. In the shifting process, focus point should be set on the proper place not to cause any side effect produced by visual fatigue to user. To perform low visual fatigue focusing, Cognitive Stereo Auto...
In order to obtain the useful sequential pattern knowledge from the historical sequence database, which reflects the characteristic behavior of software fault, a novel sequential pattern mining algorithm oriented feature discovery of software fault based on location matrix named SPM-LM is proposed. The pattern growth theory and the concept of location matrix are introduced into the new proposed algorithm...
An LEO satellite network model based on mobile agent is mentioned. In the network model, two shortest path algorithms are proposed. For information communication, a shortest path algorithm based on Dijkstra algorithm is proposed. For deploying routing tables, a shortest path algorithm named diffuser algorithm is demonstrated. Simulation results show the feasibility of the LEO satellite network model...
With the increasing development and application of information and communication technologies, multi-database mining is becoming more and more important. Association rules mining is the major topic in multi-database. According to Piatetsky-Shapiropsilas argument, an association rule is interesting only if the rule meets the minimum interestingness condition. In this paper, we extended this condition...
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