Services in the ubiquitous computing are heterogeneous in nature. To be pervasive, these services should be defined in terms of their functionality and capabilities rather than the meaningless UUIDs or types of servic...
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Services in the ubiquitous computing are heterogeneous in nature. To be pervasive, these services should be defined in terms of their functionality and capabilities rather than the meaningless UUIDs or types of services. Thus, clients can access the proper service based on semantic requests. In this paper, we study the demand of semantic query in service discovery processes. Current discovery protocols and the concept of semantics are bringing together to construct a framework to realize the semantic service discovery for ubiquitous computing. Many issues are discussed in relation to service discovery topologies, ontology languages, and semantic query languages.
This paper proposes a region-based image retrieval approach using block discrete cosine transform (BDCT). In our retrieval system, for simplicity, an image is equally divided into four regions and an additional centra...
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This paper proposes a region-based image retrieval approach using block discrete cosine transform (BDCT). In our retrieval system, for simplicity, an image is equally divided into four regions and an additional central region with one fourth size of the image. Therefore, an image is represented by five segmented regions, each of which is associated with a feature vector derived from BDCT. Users can select any region as the main theme of the query image. The relevance between a query image and any database image is ranked according to a similar measure computed from the selected regions between two images. For those images without distinctive objects and scenes, users can still select the whole image as the query condition. The experimental results show that our approach is easy to identify main objects and reduce the influence of background in the image, and thus improve the performance of image retrieval.
We have developed a system that allows a piano to perform automatically. In order to play music in the manner of a live pianist, we must add expression to the piano's performance. In the case of piano music, there...
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We have developed an automatic piano that can accurately control the motion of both the keys and the pedal based on performance data that a user has inputted for a particular piece of music. However, this system canno...
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This research aims to develop a combined sense system that uses the sense of force feedback and the visual by the shape of microscopic features of a micro sample. The visual and the sense of force feedback were expand...
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In this paper, I focused on developing a robot arm with three degrees of freedom and an autonomous function. I modeled my research on the actions of animals, which adjust well to environmental change, and aimed for co...
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A six degrees of freedom serial hand is designed to move toward an object in an unseen environment. A consciousness-based architecture (CBA) we developed, i.e., a hierarchical human development model showing the relat...
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In this report, we describe a user-recognition system for an autonomous robot. The proposed method enables the robot to recognize the person who instructs it without placing any markers in human living environments. T...
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We are attempting to develop an autonomous mobile robot that has the ability to perform practical tasks in a human living environment by using information derived from sensors and a knowledge database. When a robot is...
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This study developed a self-localization system that uses landmarks and movement to pursue a moving object. Specifically, an omni-directional camera was adopted as a visual sensor and was installed on a robot. The ima...
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ISBN:
(纸本)9784990288013
This study developed a self-localization system that uses landmarks and movement to pursue a moving object. Specifically, an omni-directional camera was adopted as a visual sensor and was installed on a robot. The image from the omni-directional camera was processed to detect a landmark (an object), and the robot's distance from that landmark was then measured. These functions allowed the mobile robot to pursue a moving object. The measurement of distance based on the omni-directional image depends on the precise inclination of the camera. Consideration of this factor enabled the measurement of distance of relatively close objects with a high degree of precision. In this study, the effectiveness of this system was investigated by various experiments evaluating the measurement of distance, the movement to pursuit a moving object, and self-localization. The robot demonstrated its ability to recognize a moving object and to measure its distance and its angle in relation to the object. Based on these abilities, the robot could successfully follow a moving object. The robot's ability to recognize its location was seen to be based on its ability to recognize certain landmarks, the functions of which are mentioned above.
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