This paper proposes the importance of emotion technology for future technology. Emotion technology is absolutely necessary for real human being in future technology such as robot, culture, and design etc. However, it ...
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This paper proposes the importance of emotion technology for future technology. Emotion technology is absolutely necessary for real human being in future technology such as robot, culture, and design etc. However, it is very difficult to approach and expression effectively emotion function in engineering. Visual system (static and moving status), sound system, and tactile sense can express by physical sensor. However, there are some difficulties about how we can express feeling like human being's hart in engineering. Therefore, those who work in science have to cooperate with researcher in quite difference area such as, literature, designer, psychologist, philosopher, musician, material science, and etc.
Mean shift is an effective statistical iterative *** size of bandwidth has great impact on the accuracy and efficiency of the *** not only decides the number of sampling points in the iteration, but also affects the c...
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Mean shift is an effective statistical iterative *** size of bandwidth has great impact on the accuracy and efficiency of the *** not only decides the number of sampling points in the iteration, but also affects the convergence speed and accuracy of the *** this reason, adaptive mean shift algorithm based on hybridized bacterial chemotaxis(HBC) is proposed in this *** HBC, particle swarm operation algorithm (PSO) is introduced before bacterial chemotaxis(BC) *** PSO is firstly introduced to execute the global search, and then stochastic local search works by ***, elitism preservation is used in this paper in order to improve the efficiency of the new *** the proposed new algorithm, bandwidth is calculated by HBC algorithm in which bandwidth is calculated adaptively according to the local structure of sampling *** results show that the proposed algorithm can achieve more robust segmentation results.
We present a method for the calculation of approximate explicit solutions to constrained time-optimal control problems for nonlinear discrete-time systems. We aim to pre-compute offline a low complexity control law th...
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The presence of microcalcification clusters is a primary sign of breast cancer. It is difficult and time consuming for radiologists to diagnose microcalcifications. In this paper, we present a novel method for classif...
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Harvard architecture uses physically separate memories for their instructions and data. In the case of a flash memory with a buffer system, separate data and instruction buffers can lead to diversification of a flash ...
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Harvard architecture uses physically separate memories for their instructions and data. In the case of a flash memory with a buffer system, separate data and instruction buffers can lead to diversification of a flash architecture and achieve the high performance by overcoming effectively the limitations of a unified buffer. So, the proposed NAND flash system is composed of two separate buffers for exploiting the characteristics inherent in each module. Also, we propose a new operating mechanism for reducing overhead of flash memory, that is, erase and write operations. According to our simulation results, the write operations and the erase operations are about 60% and 68% less than other unified buffer systems with two times more space, respectively. And also, the average memory access tine is improved by about 70% compared with other unified buffer systems.
Breast region segmentation is an essential prerequisite in the (semi-)automatic analysis of digital or digitised mammographic images, which aims to separate the breast region from background information in mammograms....
Breast region segmentation is an essential prerequisite in the (semi-)automatic analysis of digital or digitised mammographic images, which aims to separate the breast region from background information in mammograms. It normally consists of two independent segmentations, which are breast-background segmentation and pectoral muscle segmentation, respectively. The first identifies the boundary between the breast and background, and the second identifies the boundary of the pectoral muscle (present in medio-lateral oblique (MLO) views). In this paper, we propose a method for automatic identification of the breast boundary based on a combination of segmentation approaches, including histogram thresholding, edge detection, contour growing, polynomial fitting, and region growing. To demonstrate the validity of the proposed method, it is tested using two mammographic datasets: the full MIAS database and a large dataset taken from the EPIC database. For the breast-background segmentation, 98.8% and 91.5% nearly accurate results are obtained for the MIAS and EPIC data, respectively. For the pectoral muscle segmentation, 92.8% and 87.9% nearly accurate results are achieved for these two datasets. A comparison with two other methods is also provided based on the full MIAS database. These indicate the proposed method performs effectively in identifying the breast boundary in digitised mammograms. The obtained segmentation results can be used for further analysis in computer-aided diagnosis.
Intrusion detection is a significant application in wireless sensor networks (WSNs). S. Kumar et al have introduced the concept of barrier coverage, which deploys sensors in a narrow belt region to guarantee that any ...
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ISBN:
(纸本)9781467307734
Intrusion detection is a significant application in wireless sensor networks (WSNs). S. Kumar et al have introduced the concept of barrier coverage, which deploys sensors in a narrow belt region to guarantee that any intrusion across the region is to be detected. However, the practical issues have not been investigated such as scheduling sensors energy-efficiently while guaranteeing the detection probability of any intrusion across the region based on probabilistic sensing model, which is a more realistic sensing model. Besides, the intruders may be humans, animals, fighter planes or other things, which obviously have diverse moving speeds. In this paper, we analyze the detection probability of arbitrary path across the barrier of sensors theoretically and take the maximum speed of possible intruders into consideration since the sensor networks are designed for different intruders in different scenarios. Based on the theoretical analysis of detection probability, we formulate a Minimum Weight ∈-Barrier Problem about how to schedule sensors energy-efficiently. We show the problem NP-hard and propose a bounded approximation algorithm, called Minimum Weight Barrier Algorithm (MWBA) to schedule the activation of sensors. To evaluate our design, we analyze the performance of MWBA theoretically and also perform extensive simulations to demonstrate the effectiveness of our proposed algorithm.
In this paper, we consider a number of technical problems associated with identification of linear systems using quantized and intermittent information. More specifically, we study asymptotic properties for identifica...
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In this paper, we consider a number of technical problems associated with identification of linear systems using quantized and intermittent information. More specifically, we study asymptotic properties for identification of such systems, including strong consistency, asymptotic normality and asymptotic efficiency, and determine their relationship with quantization errors and the packet losses. Furthermore, we discuss how to design quantizers to improve these asymptotic properties. Some open problems will also be proposed.
In this paper, first we introduce a label-based closest-neighbor trimming method to trim a phylogenetic tree built from nucleotide sequences according to the labels of leaves. Next, by replacing the indices of nucleot...
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This paper presents a feedback controller that allows MABEL, a kneed, planar bipedal robot, with 1 m-long legs, to accommodate an abrupt 20 cm decrease in ground height. The robot is provided information on neither wh...
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This paper presents a feedback controller that allows MABEL, a kneed, planar bipedal robot, with 1 m-long legs, to accommodate an abrupt 20 cm decrease in ground height. The robot is provided information on neither where the step down occurs, nor by how much. After the robot has stepped off a raised platform, however, the height of the platform can be estimated from the lengths of the legs and the angles of the robot's joints. A real-time control strategy is implemented that uses this on-line estimate of step-down height to switch from a baseline controller, that is designed for flat-ground walking, to a second controller, that is designed to attenuate torso oscillation resulting from the step-down disturbance. After one step, the baseline controller is re-applied. The control strategy is developed on a simplified-design model of the robot and then verified on a more realistic model before being evaluated experimentally. The paper concludes with experimental results showing MABEL (blindly) stepping off a 20 cm high platform.
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