the recent technological advances in location aware, mobile and wireless devices have facilitated tracking and monitoring of moving objects. However, these capabilities require storage structures that allow the speedy...
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the path planning problem is one of the major tasks in the field of robotics. In systems of multiple robots, the creation of collision free paths becomes even more complex due to the fact that all robots must complete...
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ISBN:
(纸本)9780889868311
the path planning problem is one of the major tasks in the field of robotics. In systems of multiple robots, the creation of collision free paths becomes even more complex due to the fact that all robots must complete one specific task as a team. Forming a specific pattern while the robotic team covers a predefined distance, is a common task in cooperative robotics. the complexity of the problem increases withthe number of members of the team. this paper proposes a novel path planning algorithm using a combination of Cellular Automata (CA) and Ant Colony Optimization (ACO) techniques to create collision free paths for each robot of the team. the team is divided into subgroups and optimal paths are created using an ACO algorithm. If the algorithm is not applicable, for example, due to lack of pheromone, then paths are created using a CA path planner. the simplicity of the method relies on the fact that it uses fixed discrete values and a probabilistic method to reduce the complexity of the entire system. Simulation results indicate that the proposed method can produce accurate collision free paths even in systems comprising of large number of robots.
As the network bandwidth increases due to technology advancement, the need for downloading and uploading mechanisms at high rates increases too. Media and files around the world are being shared using many technologie...
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ISBN:
(纸本)9780889868311
As the network bandwidth increases due to technology advancement, the need for downloading and uploading mechanisms at high rates increases too. Media and files around the world are being shared using many technologies including peer to peer and file servers. In this paper we develop a Bandwidth Preservation Tree (BPT) peer to peer algorithm which is an alternative algorithm to Rarest First algorithm in Bit torrent peer to peer technology. BPT algorithm uses a bandwidth Preservation Tree to force peers to download missing blocks of rare media file from their parents only. In BPT, the upload speed (bandwidth) of the parent is equal to the total download speeds (bandwidths) of the children. this enables peers to download missing blocks from their parents withtheir maximum speed, and guarantees that the parent peers are not overwhelmed by too many download requests. To validate the proposed BPT algorithm we built a simulator for both Rarest First algorithm and BPT algorithm. We measured the time it takes peers to download a full copy of a rare media under different circumstances including varying number of peers in the network, varying number of level 1 peers in the bandwidth preservation tree, and varying rare media file size. Results show that BPT approach produces complete copies of the rare media file in peers faster than Rarest First algorithm.
Brain computer Interface (BCI) provides a direct neural interface and communication pathway between the human brain and an external device such as a computer or artificial limb. With such an interface a severely handi...
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ISBN:
(纸本)9780889868311
Brain computer Interface (BCI) provides a direct neural interface and communication pathway between the human brain and an external device such as a computer or artificial limb. With such an interface a severely handicapped person, such as an Amyotrophic Lateral Sclerosis (ALS) patient, with severe muscle disorder may still communicate with and even control their environment relying using his brain activity. Even patients suffering from locked-in syndrome where they cannot move or communicate due to complete paralysis can communicate and control using BCI technology. the Neural Prosthetic Asynchronous Control (NPAC) system described asynchronously controls neural prosthetic devices for paralyzed patients. It captures EEG signals emitted from the brain, performs signal processing and classification on the captured raw signals, and produces appropriate control actions accordingly. NPAC analyzes Mu signals whose activity is associated withthe motor cortex and altered with motion or intended (imagined) motion. In this paper, we describe our method, and empirically show that NPAC achieved good accuracy for trained subjects in real-time environment. NPAC classifies right hand "imagined" movement, brain rest state, eye blinks, and eye looking down. It was tested on a trained non-paralyzed subject who managed to do several control activities such as controlling a wheelchair, moving a prosthetic device (both emulated on a robot), playing simple games, and navigating through virtual reality.
the architecture of the latest Graphic Processing Unit (GPU) consists of a number of uniform programmable units integrated on the same chip, which facilitate the general-purpose computing beyond the graphic processing...
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With major technological advances and to reduce the cost of training apprentices for real-time critical systems, it was necessary to the development of Intelligent Tutoring Systems for training apprentices in these sy...
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Wireless sensor networks are now widely used in military and civilian surveillance with new advances in wireless technology. We consider the cooperation of non-imaging sensors and cameras, of which the non-imaging sen...
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ISBN:
(纸本)9780889868205
Wireless sensor networks are now widely used in military and civilian surveillance with new advances in wireless technology. We consider the cooperation of non-imaging sensors and cameras, of which the non-imaging sensors are deployed to monitor an area continuously. If an event occurs, the sensors can trigger cameras to record further information. In this paper, we investigate the problem of triggering cameras using as few sensors as possible in this kind of environment. We first study the case of finding the minimum number of sensors needed to trigger the cameras from all-off to all-on in a grid topology. We then extend this to switch cameras from any initial states to any target states, in a grid topology. Finally we extend our problem to include switching cameras from any initial states to any target states with a random topology. It turns out that the solutions to this problem, if there are any, can be obtained by solving matrix equations in linear algebra. As far as we know, this problem has not been discussed before.
We developed a RoboJockey (Robot Jockey) interface for coordinating robot actions, such as dancing, similar to a "disc jockey" or "video jockey" who selects and plays recorded music or video for an...
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the proceedings contain 70 papers. the topics discussed include: a reinforcement profile learning agent for documents filtering;energy landscape for Hopfield network programmed with program clauses;a comparison of neu...
ISBN:
(纸本)9780889867307
the proceedings contain 70 papers. the topics discussed include: a reinforcement profile learning agent for documents filtering;energy landscape for Hopfield network programmed with program clauses;a comparison of neural network methods and Box-Jenkins model in time series analysis;using timestamp ordering in synchronizing Internet-based workflows;FPGA implementation of microcode-based and FSM-based memory built-in self test controllers;parallel computation for LUC cryptosystems on distributed memory multiprocessor machine;a new method of requirements engineering process design;crash-proof systemic computing: a demonstration of native fault-tolerance and self-maintenance;cognitive modeling in computational intelligence methods for medical pattern semantic categorization and understanding;and convergence comparison of LPC derived coefficients for speech pattern.
In this paper we report on a field study comparing a commercial pedestrian navigation system to a tactile navigation system called Tactile Wayfinder. Similar to previous approaches the Tactile Wayfinder uses a tactile...
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ISBN:
(纸本)9783642126536
In this paper we report on a field study comparing a commercial pedestrian navigation system to a tactile navigation system called Tactile Wayfinder. Similar to previous approaches the Tactile Wayfinder uses a tactile torso display to present the directions of a route's waypoints to the user. It advancesthose approaches by conveying the location of the next two waypoints rather than the next one only, so the user already knows how the route continues when reaching a waypoint. Using a within-subjects design, fourteen participants navigated along two routes in a busy city centre withthe Tactile Wayfinder and a commercial pedestrian navigation system. We measured the acquisition of spatial knowledge, the level of attention the participants had to devote to the navigation task, and the navigation performance. We found that the Tactile Wayfinder freed the participants' attention but could not keep up withthe navigation system in terms of navigation performance. No significant difference was found in the acquisition of spatial knowledge. Instead, a good general sense of direction was highly correlated with good spatial knowledge acquisition and a good navigation performance.
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