This paper presents the work that is taking place in the Region of Western Greece in order to develop state-of-the-art broadband infrastructure. The current status of broadband infrastructure in the region is being an...
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This paper presents the work that is taking place in the Region of Western Greece in order to develop state-of-the-art broadband infrastructure. The current status of broadband infrastructure in the region is being analyzed and the main principles on which the deployment of the networks will be based on is being described, by presenting the metropolitan area networks and the wireless access networks that will be developed. Two case studies of such municipal networks are also presented in this paper
This paper discusses a visual attack to BPCS-Steganography (Bit-Plane Complexity Segmentation-Steganography) and presents a countermeasure. BPCS categorizes each small block within cover images into either a "noi...
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This paper discusses a visual attack to BPCS-Steganography (Bit-Plane Complexity Segmentation-Steganography) and presents a countermeasure. BPCS categorizes each small block within cover images into either a "noise-like region" or an "informative region" by means of the binary-image feature called complexity and replaces noisy blocks with the binary patterns mapped from the bit sequences of secret data. The binary patterns must be complex because it is replacing complex regions. If the binary patterns to be inserted are simple, then the logical operation called conjugate operation is applied that transforms a simple pattern to a complex pattern. We need to keep, for each block, the flag called a conjugation flag representing whether or not conjugation had been applied to correctly extract the embedded information. In the case where the conjugation flags must be embedded within cover images, we are unable to use the complexity thresholding for the embedding of the flags. Thus the flags must be embedded into a fixed area. To this effect it is easy to recognize unnatural patterns on the LSB plane of stego-images. It can be used as a signature or a distinguishing mark between natural images and images with information embedded by BPCS. We propose secure BPCS which is robust against the visual attack. It is realized by assigning the meaning of the conjugation flag to a pixel of each block and making the specific rule to embed and extract it
In agent-mediated marketplaces, autonomous agents deploy automated bidding mechanisms in order to increase revenue for humans. The ability of agents to estimate the next prices to be revealed in an auction, by applyin...
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In agent-mediated marketplaces, autonomous agents deploy automated bidding mechanisms in order to increase revenue for humans. The ability of agents to estimate the next prices to be revealed in an auction, by applying forecasting, is a key element for efficient and successful bidding. In open outcry auctions, such as English and Dutch, information about bidders behavior is revealed at each round. This paper proposes a bid calculation function based on forecasting of the next price in English and Dutch auctions. The forecasting is based on two linear adaptive filters for stochastic estimation, whose parameters are calculated using a genetic algorithm. In order to test the efficiency of the two bidding methods and to benchmark the performance of the two filters, we conduct a set of experiments and present the results.
Interest in context-aware computing has expanded the use of sensing technologies. The accelerometer is one of the most widely used sensors for capturing context because it is small, inexpensive, lightweight, and self-...
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ISBN:
(纸本)1595930892
Interest in context-aware computing has expanded the use of sensing technologies. The accelerometer is one of the most widely used sensors for capturing context because it is small, inexpensive, lightweight, and self-operable. In efforts to obtain behavioral patterns, many studies have reported the use of multiple accelerometers attached to the human body. However, this is difficult to implement in real-life situations and may not fully address the context of user interaction. In contrast, the present study employed a single tri-axial accelerometer attached to a handheld computing device instead of to a user. The objective was to determine what contextual information could be obtained from this more feasible, albeit limited, source of acceleration data. Data analyses confirmed that changes in both mobility and lighting conditions induced statistically significant differences in the output of the accelerometer. Copyright 2005 ACM.
In this paper, an approach for providing unified access to heterogeneous distributed cultural heritage collections is presented. The proposed approach is developed within the framework of the REACH Greek National Proj...
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In this paper, an approach for providing unified access to heterogeneous distributed cultural heritage collections is presented. The proposed approach is developed within the framework of the REACH Greek National Project with the overall aim to provide a Web portal enabling access to different databases of cultural content with emphasis on multimedia material. In order to achieve this, the project employs ontology-based representation of cultural content, multimedia content-based search algorithms, hybrid ontology and content-based access and user-friendly search interfaces. This fusion approach provides users with resources for building queries of multimedia repositories sequentially using multiple individual search tools, and performs higher quality searching. In the current stage of development, real content such as inscriptions and coins from the Greco-Roman time period, has successfully been incorporated in the system
Efficient video content management and exploitation requires extraction of the underlying semantics, a non-trivial task associating low-level features of the image domain and high-level semantic descriptions. In this ...
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Efficient video content management and exploitation requires extraction of the underlying semantics, a non-trivial task associating low-level features of the image domain and high-level semantic descriptions. In this paper, a knowledge-assisted approach for extracting semantics of domain-specific video content is presented. Domain knowledge considers both low-level features (color, motion, shape) and spatial behavior (topological and directional information). During the preprocessing step, a set of over-segmented homogenous atom-regions is generated and their low-level and spatial descriptions are extracted. A genetic algorithm is then applied in order to find the optimal interpretation according to a specific domain conceptualization. The proposed approach was tested on the formula one, tennis and beach vacations domains showing promising results.
Fault diagnosis is a challenging task in the control of hybrid systems. In this work we present a methodology for detection and isolation of faults to hybrid control systems using a diagnoser. For this purpose a gener...
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Fault diagnosis is a challenging task in the control of hybrid systems. In this work we present a methodology for detection and isolation of faults to hybrid control systems using a diagnoser. For this purpose a general framework is proposed. We discuss the notion of diagnosability of hybrid systems in the framework of hybrid input output automata (HIOA), imposing the conditions for a hybrid system to be diagnosable. The diagnoser is designed using hybrid structure hypothesis tests. The states of the hybrid system model reflect the normal and the failed status of the system components. This approach is applicable to a wide range of real systems since hybrid systems involve both continuous and discrete dynamics
Due to the opportunities provided by the Internet, more and more people are taking advantage of distance learning courses and during the last few years enormous research efforts have been dedicated to the development ...
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Due to the opportunities provided by the Internet, more and more people are taking advantage of distance learning courses and during the last few years enormous research efforts have been dedicated to the development of distance learning systems. So far, many e-learning systems are proposed and used practically. However, in these systems the e-learning completion rate is about 30 percents. One of the reasons is the low study desire when the learner studies the learning materials. In this research, we propose an e-learning system, which includes three subsystems: the learning subsystem, learner support subsystem, and teacher support subsystem. The learning subsystem improves the learners study desire. The learner support subsystem supports the learner during the study, and the teacher support subsystem support the teacher to get the learner's study state. In the future work, we would like to add other functions to improve more the system performance.
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