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In this investigation, we propose a new kind of framework for multiple agents by which the agents take their decisions in a cooperative manner towards em diverse society. Basically, putting importance on observed information, we like to obtain likely consequences consistent with the information sources. To do that, we manage several decisions in terms of best strategy} by using Maximal Likelihood...
With the adoption of Semantic Web technologies, knowledge based applications are nowadays common. They rely on the use of numerous and varied knowledge organization systems. This raises the problem of the interoperability of the underlying models in particular for data integration purpose. We present in this paper an approach based on an ontology server and providing functionalities including ontology...
The success rate of IT system development projects has remained as low as 30 %, resulting in that more than 60 % of workers have suffered from problems. This paper proposes a software agent to replace rudimentary-level human counselors. The agent uses a counseling knowledge whose domain is limited to IT workers or students. Counseling differs from learning support whose problems are clear and well-understood...
The paper introduces a "lazy" Data Mining technology, which models students' learning characteristics by considering real data instead of deriving ("guessing") their characteristics explicitly. In former work, the authors developed a modeling system for university learning processes, which aims at evaluating and refining university curricula to reach an optimal learning success...
The paper presents a very general technique to represent human needs and offers along with a technology to find optimal matches. Moreover, the system is able to learn from its use by collecting user feedback and changing its parameters accordingly. This way, the system adjusts itself to the human expectations and desires and even follows the trend of these desires and expectations.
Web services growth makes the composition process a hard task to solve. This numerous interacting elements can be adequately represented by a network. Discovery and composition can benefit from the knowledge of the network structure. In this paper, we investigate the topological properties of two models of syntactic and semantic Web services composition networks: dependency and interaction. Results...
In this paper we report on the results of our current attempt to enhance scientometric measurements by employing social network analysis and mining methods. We begin by recalling of our previous work on the collection of a rich data on the social network of scientific collaboration. Then, we proceed to the description of the enhancements to the dataset. Most importantly, we report on the three separate...
In this paper, we present the problem of Non Cooperative Target Recognition (NCTR) as a supervised classification problem. After a brief presentation on the radar acquisition system of range profiles and the problem of recognition, we use a Fuzzy-Logic based algorithm to do this classification maximizing the recognition rate while controling the error rate. Unlike classical NCTR algorithms, this new...
SIFT features have known limitations for matching features under changes in 3D pose of the object. We investigate the use of multimodal information from the range and intensity domains as an approach to mitigating the effects of changes in view point. In this investigation we outline an experimental procedure applied to range and intensity images of real-world objects captured using a stereo camera...
Schema versioning is an indispensable feature for applications using temporal databases and requiring an entire history of data and schema. ôXSchema [7] is an infrastructure for constructing and validating temporal XML documents, but any explicit support for XML schema versioning is offered. A ôXSchema schema is composed of a conventional XML Schema document annotated with physical and logical annotations...
The paper presents the result of an ongoing research into extending the WiSENet semantic network by adding an extra tier of data, which could be applied in a number of text processing tasks. It was envisaged that this new tier of data could provide a more detailed description of adjectives and adverbs contained in the semantic network. This detailed description was centrally concerned with the construction...
Ontology is by definition explicit and shared conceptualization of a domain, its life cycle is then marked by sequences of change operations in order to adapt changes in the renewal of the domain. Each operation leading to a state of inconsistency on a target component is therefore susceptible to change the status of other components and therefore the state of the ontology at the macroscopic level...
In this paper we propose a computable approach to represent medical rules by means of Fuzzy Clinical Decision Support Systems by preserving both accuracy and interpretability. Usually, prediction accuracy of these systems goes to overlook their linguistic interpretability and, in order to simultaneously optimize those conflicting properties, multi-objective evolutionary algorithms are adopted. Differently,...
Advanced Driver Assistance Systems (ADAS) are used for assisting the drivers by providing advice and warnings when necessary. CTA (Cross Traffic Alert) systems are a subset of ADAS used for detecting objects (viz., cars, trucks, pedestrians, static objects etc) by using one or more moving cameras, mounted on a vehicle. Usually, CTA systems can detect moving objects within region of interest (ROI)...
We propose an automatic approach to detect falls in home environment. A Support Vector Machine based classifier is fed by a set of selected features extracted from human body silhouette tracking. The classifier is followed by filtering operations taking into account the temporal nature of a video. The features are based on height and width of human body bounding box, the user's trajectory with her/his...
There are many approaches being proposed to find the correspondence points between two images. They generally perform when used to find the correspondences between two images of the same object, such as in a video sequence or in a stereo camera. However, they fail if the number of true matches between two images was small compared to all the potential correspondence points found, which could happen...
The fractal dimension (FD) is an indicator of the complexity of form, shape or texture of images. Several fractal dimension estimation methods which lead to different results are developed. This paper draws up a survey on FD estimation methods and presents a comparative evaluation between eleven FD estimation techniques belonging to three different approaches namely box-counting, area measurement...
High Efficiency Video Coding (HEVC), also known as H.265, is the next generation video compression standard beyond H.264. 35 intra prediction modes(IPM) are defined in HEVC to improve coding efficiency. But so many modes also result in the dramatically increased encoding complexity. In this paper, a novel fast intra mode decision algorithm is proposed to speed up the original intra coding in HEVC...
This paper presents a novel method for building textual feature defined on semantic distance and describes multi-model approach for Visual Concept Detection and Annotation(VCDA). Nowadays, the tags associated with images have been popularly used in the VCDA task, because they contain valuable information about image content that can hardly be described by low-level visual features. Traditionally the...
In this paper, we propose a method for completing the Chinese character in the image of Inscription rubbings or Chinese calligraphy that is corrupted by fissure and dirt. The method aim at completing the Chinese character from single image based only on the information the image contains. In our approach, for completing the corrupted image with Chinese characters, the structure of the Chinese characters...
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