15518182
Human-style interaction with a robot for cooperative learning of scene objects
In research on human-robot interaction the interest is currently shifting from uni-modal dialog systems to multi-modal interaction schemes. We present a system for human-style interaction with a robot that is integrated on our mobile robot BIRON. To model the dialog we adopt an extended grounding concept with a mechanism to handle multi-modal in- and output where object references are resolved by the interaction with an object attention system (OAS). The OAS integrates multiple input from, e.g., the object and gesture recognition systems and provides the information for a common representation. This representation can be accessed by both modules and combines symbolic verbal attributes with sensor-based features. We argue that such a representation is necessary to achieve a robust and efficient information processing.
5823379
"BIRON, let me show you something": evaluating the interaction with a robot companion
Current research on the interaction with a robot is driven by the desire to build intuitive and natural interaction schemes. In order for our robot BIRON to behave naturally we integrated an attention system that enables the robot to search for and eventually focus on human communication partners by detecting and tracking persons. Via a natural language interface the user can then interact with BIRON and teach him new objects or ask him to follow her. First valuation results from 21 users interacting with the robot indicate that users appreciate the natural language capabilities of BIRON. However, users are very sensitive to speech recognition failures even though all of our subjects had prior experience with speech recognition systems. The results also indicate that feedback on the internal status of the robot is extremely helpful for users.
3862682
Modeling distributed GIS data production workflow
Real-time access to status of project progress, control of production processes and activities, and automation of production procedures are major hurdles in further improving production throughput and project management in distributed GIS data production projects. Workflow technology promises to address these issues by facilitating, automating or controlling GIS data production processes. The success of applying workflow technologies to distributed GIS data production requires comprehensive understanding of the underlying production processes. This paper presents the first research effort on rigorously modeling distributed GIS data production workflows, with particular attention to a GIS data quality control process using the Internet-based workflow management technologies. Existing practices of distributed GIS data production projects are used as the essential sources for modeling the required workflow. The paper discusses some issues faced and concepts such as workflow process repository and GIS data QC testing program repository.
8736073
Using Feature-Oriented Analysis to Recover Legacy Software Design for Software Evolution
Most design recovery approaches start from analysing source code. Nonetheless, it is very difficult to get adequate design information only depending on source code. Additional available information is required and Feature Oriented Analysis (FOA) is a way to reach this aim. FOA addresses the understanding of features in software systems and defines mechanisms for carrying a feature from the problem domain into the solution domain. Using feature as the first-class entity for software evolution can improve program comprehension and design recovery. In this paper, an approach is proposed to recover software design based on the feature model, which is a kind of legacy system knowledge. The features will first be located and mapped to the implementation module so that feature-oriented components can be identified and retrieved, and then, through the analysis of the feature relations, the design model of legacy system can be recovered and used for the future evolution.
40576003
GloStra - a hybrid system for developing global strategy and associated Internet strategy
An intelligent hybrid system, called GloStra (developed by the author), for developing global marketing strategy and associated Internet marketing strategy is reported in this paper. The hybrid system is built to integrate the strengths of expert systems, fuzzy logic, artificial neural networks and decision support technology; and to link the development of global marketing strategy with the formulation of associated Internet marketing strategy. In the paper, the system architecture, the functional modules of the hybrid system and other associated technical issues are addressed. The directions for further research in this field are also highlighted.
16791890
JComp: A Reuse-Driven Componentization Framework for Java Applications
Program componentization has been proved to be an effective way to increase the speed and cost-effectiveness of reusing, maintaining, and understanding existing software systems. JComp is a componentization framework that supports semi-automatically extracting reusable components from an existing Java system and automatically transforming the existing system into a component-based system. Based on the automated class dominance analysis and domain knowledge, JComp introduces a novel technique to incrementally identify reusable components in a low cost but high precision way. Also, JComp provides a methodology to automate the transformation of existing object-oriented systems into component-based systems
14078750
A Novel Hierarchical Approach to Image Retrieval Using Color and Spatial Information
A novel hierarchical approach to image retrieval is proposed. First, a color label histogram is used to effectively filter out the images that are not similar to the query image in color. The proposed color label histogram built by categorizing the pixel colors is computationally much more efficient compared to other approaches. Next, the class parameters of those images passing the first filter are used to identify the images similar to the query image in spatial layout. These class parameters are obtained automatically from the proposed unsupervised segmentation algorithm. Moreover, the wavelet decomposition coefficients are used to generate the initial partition for the segmentation algorithm. It doubles the segmentation performance. At the last stage, all images passing two filters are ranked based on the total normalized distance in color and spatial layout. The experiments show the effectiveness and efficiency of our approach.