In this paper we present a robust skull-stripping method for the isolation of cerebral tissue in 3D Time-of-Flight (TOF) magnetic resonance angiographic images of the brain. 3D TOF images are often acquired in case of...
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A lot of Learning Management Systems (LMS) were developed in the last ten years since E-Learning opens new possibilities in learning scenarios. They offer the possibility to watch any of the students action on the com...
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Embodied Conversational Agents (EGAs) are life-like computer generated characters that interact with human users in face-to-face multi-modal conversations. ECA systems are generally complex and difficult for individua...
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This paper describes a new software tool for high quality training/learning in the field of digital microelectronics. Its main purpose is to give insight into reliability and quality assurance technologies based on Li...
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Existing information systems often lack support to crisis and emergency situations. In such scenarios, the involved actors often engage in ad hoc collaborations necessary to understand and respond to the emerging even...
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ISBN:
(纸本)9783540928300
Existing information systems often lack support to crisis and emergency situations. In such scenarios, the involved actors often engage in ad hoc collaborations necessary to understand and respond to the emerging events. We propose a collaboration model and a prototype aiming to improve the consistency and effectiveness of emergent work activities. Our approach defends the requirement to construct shared situation awareness (SA). To support SA, we developed a collaborative artifact named situation matrixes (SM), which relates different situation dimensions (SD) of the crisis/emergency scenario. A method was also developed to construct and evaluate concrete SM and SD. This method was applied in two organizations' IT service desk teams, which often have to deal with emergency situations. The target organizations found our approach very relevant in organizing their response to emergencies.
In this paper, we present the web-based resource sharing system KnownStyleNoLife, which allows users explicitly annotate fashion-related images. KnownStyleNoLife harnesses human power and collects image metadata such ...
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The spectrum characteristics of self-mixing signals observed in optical feedback self-mixing interferometry (OFSMI) is studied in this paper. The purpose is to provide guidance for the design of pre-processing techniq...
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The spectrum characteristics of self-mixing signals observed in optical feedback self-mixing interferometry (OFSMI) is studied in this paper. The purpose is to provide guidance for the design of pre-processing techniques for eliminating noise or disturbance. The influence of two important parameters of the OFSMI system on the spectrum, that is, the optical feedback factor and the linewidth enhancement factor, are measured by means of Discrete Fourier transform (DFT). The simulated results show that, at a weak feedback, the OFSMI signals are strictly band limited in nature, with the cut-off frequencies being the vibration frequency and the fringe frequency respectively. Also increasing broadens the bandwidth but has little influence on the bandwidth of the signal. At moderate feedback, the OFSMI signals are still band limited with much higher cut-off frequencies, and there is a considerable spectrum spread over a very wide range in the high frequency end. The presented analysis provides sufficient information for applying signal processing to OFSMI signals such as the filter design.
In this paper, we investigate the problem of choosing the best domain for embedding watermarks in digital still images. During this paper, eight watermarking techniques were implemented and evaluated. Four techniques ...
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In this paper, we investigate the problem of choosing the best domain for embedding watermarks in digital still images. During this paper, eight watermarking techniques were implemented and evaluated. Four techniques were selected to represent different approaches of embedding data in spatial domain, three approaches using discrete cosine transform (DCT) domain, and one approach using discrete wavelet transform domain (DWT) domain. The algorithms were chosen to represent a range of computational complexities and implementation structures. The performance of the selected algorithms was evaluated with respect to many perceptibility parameters.
Ambiguity is a major problem of software errors because much of the requirements specification is written in a natural language format. Therefore, it is hard to identify consistencies because this format is too ambigu...
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ISBN:
(纸本)9781424439027
Ambiguity is a major problem of software errors because much of the requirements specification is written in a natural language format. Therefore, it is hard to identify consistencies because this format is too ambiguous for specification purposes. This paper aims to propose a method for handling requirement specification documents which have a similar content to each other through a hierarchical text classification. The method consists of two main processes of classification: heavy classification and light classification. The heavy classification is to classify the requirement specification documents having similar content together. Meanwhile, light classification is to elaborate specification requirement documents by using the Euclidean distance. Finally, slimming down the number of requirements specification through hierarchical text classification classifying may yield a specification which is easier to understand. That means the proposed method is more effective for reducing and handling in the requirements specification.
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