Advanced computer technology has a potential power to completely change education style. Ubiquitous computing framework allows students to learn anywhere at any time. It also enables a teacher to electronically organi...
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Advanced computer technology has a potential power to completely change education style. Ubiquitous computing framework allows students to learn anywhere at any time. It also enables a teacher to electronically organize some materials on site and present them according to students' situation. In this paper, we describe an interactive teaching aid called Micro E-Board designed and implemented to solve some problems existing in currently available e-learning technology. The proposed system allows users to easily build an intuitive e-learning environment anywhere at any time based on mobile technology and prompts interactions between a teacher and students with a set of easy-to-use functions.
This paper presents a cascade system to reliably recognize traffic accidents using multi-sensor cooperation. The system is consisted of a MSN (Master Sensor Node) and number of SN (Sensor Node)s with both low cost DSP...
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This paper presents a cascade system to reliably recognize traffic accidents using multi-sensor cooperation. The system is consisted of a MSN (Master Sensor Node) and number of SN (Sensor Node)s with both low cost DSP and CCD. Each SN computes probabilities of accident with a set of images over time taken at different locations. Once more than one accident being reported, MSN is stimulated and conducts a synthetic decision making process with various information taken from each SN related to the accident. Experimental results show that the proposed cascade system drastically enhance reliability of traffic accident recognition and enables to be set in real environments.
Using sonar sensors is one of the most popular sensing methods for mobile robots, since the sensor is inexpensive and will simply give distance information. However, in general, the sonar sensor has difficulty in meas...
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Using sonar sensors is one of the most popular sensing methods for mobile robots, since the sensor is inexpensive and will simply give distance information. However, in general, the sonar sensor has difficulty in measuring the accurate direction of object while it is used to avoid obstacles such as large boxes, walls and so on since it has a large angle of beam. Nevertheless, this paper proposes to use the sonar sensors for localizing other robots as well as detecting obstacles, and represents the simplest algorithm to obtain the relative information: heading angle, bearing angle and distance between the leader and follower. A control algorithm for keeping (d, φ)-formation is presented by obtaining linear and angular velocities of the follower robot.
Entity linking (EL) is the task of linking a textual named entity mention to a knowledge base entry. It is a difficult task involving many challenges, but the most crucial problem is entity ambiguity. Traditional EL a...
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＜正＞In this paper,we present the vibration control of a Timoshenko beam under the external unknown spatiotemporally varying distributed disturbance and time-varying boundary *** model of the Timoshenko beam extracte...
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＜正＞In this paper,we present the vibration control of a Timoshenko beam under the external unknown spatiotemporally varying distributed disturbance and time-varying boundary *** model of the Timoshenko beam extracted from a class of flexible systems is represented by a hybrid model including both nonhomogeneous partial differential equations（PDEs） and ordinary differential equations（ODEs）.To suppress the vibration of the system and reduce the effects of the external disturbances,adaptive boundary control is proposed based on Lyapunov’s direct *** the proposed boundary control strategy,the states of the system are proven to be uniformly ultimately bounded and converge to a small neighborhood of zero by choosing the design *** simulations are shown to illustrate the effectiveness of the proposed adaptive boundary control.
This paper presents servo control for discrete-time nonlinear systems with constraints on inputs and states using the fuzzy model-based control approach. Firstly, the nonlinear error system is constructed based on err...
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This paper presents an improved approach to servo control for nonlinear systems with constraints on inputs and states using the fuzzy model-based control approach. In our previous paper, servo control based on error d...
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Basis Pursuit (BP) finds a minimum ℓ 1 -norm vector z that satisfies the underdetermined linear system Mz = b, where the matrix M and vector b are given. Lately, BP has attracted attention because of its application i...
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Basis Pursuit (BP) finds a minimum ℓ 1 -norm vector z that satisfies the underdetermined linear system Mz = b, where the matrix M and vector b are given. Lately, BP has attracted attention because of its application in compressed sensing, where it is used to reconstruct signals by finding the sparsest solutions of linear systems. In this paper, we propose a distributed algorithm to solve BP. This means no central node is used for the processing and no node has access to all the data: the rows of M and the vector b are distributed over a set of interconnected compute nodes. A typical scenario is a sensor network. The novelty of our method is in using an optimal first-order method to solve an augmented Lagrangian-based reformulation of BP. We implemented our algorithm in a computer cluster, and show that it can solve problems that are too large to be stored in and processed by a single node.
We present an Electronic Health Record (EHR) system for recording chart notes during patient encounters, enhanced by the use of various feedback mechanisms like progress bars and alerts. The extensive use of various f...
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We present an Electronic Health Record (EHR) system for recording chart notes during patient encounters, enhanced by the use of various feedback mechanisms like progress bars and alerts. The extensive use of various feedback mechanisms, which are not present in existing EHRs, leads to improved quality of chart notes. Our experiments show that alerts in the EHR can help enhance the quality of chart notes.
This paper presents a middleware for managing task allocation to agents (humans, robots, or software artifacts) operating in environments equipped with RFID technology. The system uses workflows and task decomposition...
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This paper presents a middleware for managing task allocation to agents (humans, robots, or software artifacts) operating in environments equipped with RFID technology. The system uses workflows and task decomposition techniques for preparing a task plan, and exploits the RFID technology for distributing and deploying the tasks within the environment. RFID tags are used for both labeling relevant objects and modeling the physical environment as a graph of deployed RFID tag nodes. The acquisition of new tasks and their distribution take place by means of the proposed infrastructure.
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