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Cloud computing clusters distributed computers to provide applications as services and on-demand resources over Internet. From the perspective of average and total energy consumption, such consolidated resource enhances the energy efficiency on both clients and servers. However, cloud computing has a different power consumption pattern from the traditional storage oriented Internet services. The computation...
We present an actively altruistic mobile robot system that implements a neural network to perform head pose tracking to identify a person who looks lost. Our results show that a 3-level discretization of head pose performed better than 9 levels, but that 9 levels perform better at detecting head pose change. We also present results from analyzing a method that determines whether or not a person looks...
Nowadays, the computer network equipment is highly efficient. It provides faster communication with low cost. Traffic analysis is one of major's factors for the network design. In recently, characteristic of HTTP, FTP, SMTP, VoIP and other Internet applications in the intra-domain network are being widely studied in term of bandwidth utilization. However, a characteristic of multicast traffic in the...
Clothes give us a lot of information. For example, when we see a person we know, his clothes are helpful to recognize him as well as his face. However, person recognition by clothes is still challenging problem in the area of computer vision due to the variety of a person's clothes, which makes his appearance highly variable. To handle this problem, we propose a person-specific appearance representation...
This paper presents an impedance-based contact control of a free-flying space robot with respect to the coefficient of restitution. Since no object is constrained in space, the contact between two objects in orbit must be treated carefully so as to prevent the objects from inducing undesired contact force and post-contact relative motion. As a solution to this issue, the authors propose a contact...
When a user is about to use a new function on a robot or machinery, the user is required to: 1) understand the rules regarding the use of the function, and 2) confirm that the environment, in which the robot or machinery is operating, is suitable for the use of the new function. Failure to confirm these requirements may lead to higher accident rates, creating potentially hazardous conditions for the...
This paper presents a real-time image processing of human face identification for home service robot (HSR). This vision system is set up by two individual sub-systems. The first one is face detection and tracking sub-system based on adaptive skin detector, condensation filter with parallel computing particles, and Haar-like classifier. And a simple and fast motion predictor is also proposed for face...
This study applies the artificial neural network to analyze the influence on the recovery of silicon and aluminum components of high and low levels after the melting in EAF, to look for the best recovery of chromium. First, to measure chrome content before EAF's melting. After the melting, the recovery is achieved by measuring the steel water, and the experimental data are trained by using Back propagation,...
We present the concept of Tool Affordances to plan a strategy for target object manipulation by a tool via understanding of bi-directional association between Actions, Tools and Effects. Tool Affordances include the awareness within robot about the different kind of effects it can create in the environment using an action and a tool. Robot learns tool affordances by exploring the environment through...
With the human being's advances in technology and business economic growth, the consumption of material grows rapidly, and cause many environmental problems. If we can understand the importance of resource recycling, then, it can leave a clean space for future generations. Hence, the paper uses significant to analyze the weightings, and use reduct to calculate the frequency of influence factor, then,...
Due to the resolution limits of optical lithography systems, the electronics industry has relied on resolution enhancement techniques (RETs), such as optical proximity correction (OPC), to compensate and minimize mask distortions as they are projected onto semiconductor wafers. A novel performance-based OPC (PB-OPC) methodology which focuses on the circuit performance has been demonstrated to achieve...
This paper proposes a novel method which is depth estimation by a microscope for automatic pickup and release of particles for sorting particles. In a case of manipulation of pollen for hybridization of plants, it is required to manipulate particles of living pollen which must not be given damage. In view of a microscope, focused area is very narrow, and edges of almost objects then have blurs of...
The paper aims to quantify the phenomenon of feminization of poverty, which based on the gender statistics from Taiwan's government, and use GM (0,N) model as the mathematics model to analyze the low-income women problem from year 2006 to year 2010. The paper proposes the eight influence factors for the feminization of poverty at first. Through GM (0,N) calculation, the result shows that the three...
In this paper, the image database and the knowledge representation of the windows in facade are developed to improve the accuracy ratio of Gentle AdaBoost algorithm which provides a final strong classifier in windows detection in façade. To achieve the knowledge representation, this paper had established four windows contextual rules, which consult the concept of image semantics. After the real testing,...
This paper presents the results of using mixed clustering (k-means and DBSCAN clustering) with singular value decomposition to build map in a noisy environment from laser range sensor information. Sensors are prone to errors, moreover, environmental and other factors may affect the sensor sensitivity. This may generate a lot of noise which must be removed before building the map. The study shows how...
This paper introduces a vision tracking system for mobile robot by using Unscented Kalman Filter (UKF). The proposed system accurately estimates the position and orientation of the mobile robot by integrating information received from encoders, inertial sensors, and active beacons. These position and orientation estimates are used to rotate the camera towards the target during robot motion. The UKF,...
In this paper, the localization problem of an autonomous unmanned aerial vehicle in case of losing the GPS signal is handled. A vision-based solution approach is proposed consisting of two phases. In the first phase a hybrid map is constructed. Such map consists of a set of reduced features obtained by information-theoretic analysis. This enables faster UAV localization processing without degenerating...
In a problem of target capturing for multiple robots, it is an issue that the target is fixed or movable. When the target is fixed, the problem is solved by enclosing the target. However, it is useless if the target moves. We have investigated the restrictive velocity of the target that the robots can maintain the enclosing formation. The velocity of the target is supposed to be constant and smaller...
The visual structured landmarks used in robot localization are popularly utilized in the mobile robot navigation field. When the localization of the robot implies fast and accurate performances, such landmarks can be used in visual surveillance systems to get very efficient results. This paper suggests a visual landmark designing methodology for high speed multiple mobile robots. The conventional...
In the biological world, social insects such as ants and bees use a volatile substance called pheromone for their foraging or homing tasks. This study deals with how to utilize the concept of the chemical pheromone as an artificial potential field for robotic purposes. This paper first models a pheromone-based potential field, which is constructed through the interaction between mobile robot and RFID...
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