In this paper, we use EEG signals to classify two emotions-happiness and sadness. These emotions are evoked by showing subjects pictures of smile and cry facial expressions. We propose a frequency band searching metho...
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In this paper, we use EEG signals to classify two emotions-happiness and sadness. These emotions are evoked by showing subjects pictures of smile and cry facial expressions. We propose a frequency band searching method to choose an optimal band into which the recorded EEG signal is filtered. We use common spatial patterns (CSP) and linear-SVM to classify these two emotions. To investigate the time resolution of classification, we explore two kinds of trials with lengths of 3s and 1s. Classification accuracies of 93.5% plusmn 6.7% and 93.0%plusmn6.2% are achieved on 10 subjects for 3s-trials and 1s-trials, respectively. Our experimental results indicate that the gamma band (roughly 30-100 Hz) is suitable for EEG-based emotion classification.
Nowadays enterprise information and knowledge systems provide technical platforms for the integration and collaboration of business processes among multi-organizations of enterprises. However, software systems support...
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Nowadays enterprise information and knowledge systems provide technical platforms for the integration and collaboration of business processes among multi-organizations of enterprises. However, software systems supporting enterprise business processes are hard to be adapted and deployed to satisfy the ever-changing requirements of enterprises. In this paper we put forward an adaptable enterprise information system framework in which we use four levels of abstractions. At the meta-meta model level, the ontology schema is used which provides the specification language for other more specific levels. At the meta-model level, the extended OSM model is used, and the generic elements obtained from analyzing the commonality of requirements are included. At the model level, the commonalities of sub-domains, such as the patterns of tasks in a specific domain are analyzed and generalized for future reuse. The intermediate specifications of the business processes and work flows are used in this level. At the application level, specific elements and requirements of the applications will be added and customized via the tools developed at the abstracted levels. A case study of knowledge management system based on this four level abstraction is discussed.
The acquisition of requirements assets are important in software product line (SPL) engineering for it help enhancing the effectiveness of reuse. Traditional methods are heavily based on manual effort. This appears to...
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The acquisition of requirements assets are important in software product line (SPL) engineering for it help enhancing the effectiveness of reuse. Traditional methods are heavily based on manual effort. This appears to be a barrier for many organizations which tend to launch a SPL. In this paper, we propose an approach to extract functional requirements by analyzing text-based software requirements specifications (SRSs). We analyze the linguistic characterization of SRSs. According to it we define extended functional requirements framework (EFRF) which consists of 10 semantic cases, then we generate converting rules. We introduce an NLP (natural language process) approach to build EFRFs from documents based on the concept of EFRF and the converting rules. The extracted EFRFs are suitable for expression and modeling of functional requirements variability. We apply our method to an auto-marker software product line. The result shows the approach has high accuracy and efficiency, and the approach is readily scalable and extensible.
We present in this paper a supervised topic model for multi-class classification problems. To incorporate supervisory information, we jointly model documents and their labels in a graphical model called LogisticLDA, w...
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keyphrases extracted from articles are beneficial in helping people boost browsing speed, but unfortunately keyphrases are rarely available for news articles due to the high expense of labor and time for manual annota...
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