Phase synchronization and directionality of human EEG data recorded under influence of audio-visual stimulation were investigated. EEG data came from 6 healthy volunteers repeatedly exposed to 20 min stimulation that ...
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Phase synchronization and directionality of human EEG data recorded under influence of audio-visual stimulation were investigated. EEG data came from 6 healthy volunteers repeatedly exposed to 20 min stimulation that comprised intervals with steady stimulation at 4 and 17 Hz. Entrainment of the brain waves and phase synchronization both significantly increased during the stimulation in comparison to nonstimulating conditions across the whole cortex. Positive correlation of entrainment and phase synchronization was obtained. Directionality analysis suggests that applied methods may estimate direction of information flow from visual processing centers towards frontal cortex locations.
Real-time detection is one of the most important issues in intrusion detection. When the network data is becoming huge and is of high dimensionality, real-time detection with high detection accuracy and low false alar...
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Real-time detection is one of the most important issues in intrusion detection. When the network data is becoming huge and is of high dimensionality, real-time detection with high detection accuracy and low false alarm rate is challenging for previous methods. In order to handle this problem appropriately, we propose a novel anomaly detection model based on neighborhood preserving and branch and bound tree, named as ADM-NP. In this method, high-dimensional network data is mapped to a lower dimension space, reducing the complexity of computation in anomaly detection algorithm. Besides, since branch and bound tree is adopted, the KNN searching in anomaly detection algorithm becomes faster. Empirical studies based on KDD CUP 99 data set demonstrate the effectiveness of our method.
Estimation of prostate location and volume is essential in determining a dose plan for ultrasound-guided brachytherapy, a common prostate cancer treatment. However, manual segmentation of the prostate area is difficul...
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By using global communication systems, which are enabled by information and communication technology, the borders around the world are no longer important, and people are changing continents, countries, regions, cultu...
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In the fall of 2009, a college of engineering and applied science at a public, Rocky Mountain region university embarked on a new inclusive excellence initiative called Broadening Opportunity through Leadership & ...
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In the fall of 2009, a college of engineering and applied science at a public, Rocky Mountain region university embarked on a new inclusive excellence initiative called Broadening Opportunity through Leadership & Diversity (BOLD). The BOLD Center is a new K-16 organizational structure to increase the performance, representation and retention through graduation of students who are underrepresented in engineering, including women, students of color, low income and first generation college attendees. A BOLD Center focus of concern is the declining retention rate of women that has dipped below that of men recently in our College. A survey consisting of 41 questions was distributed to all undergraduate engineering women in the college that incorporates scales from the Assessing Women in Engineering (AWE) assessment and from the Academic Pathways of People Learning Engineering Survey (APPLES). Five research questions were posed in the survey design: • Do women express a loss of interest during their program? • Is there a chilly climate for women in the college? • Do women?s self-efficacy levels change during the program? • Do academic performance levels play a role in women?s retention in engineering? • Do women have an adequate support structure in the college? The survey generated 116 responses from 2 solicitations, with women students represented from every major across all four undergraduate years. An unintended outcome was that the sample largely consists of women with high grade point averages. Thus, this paper offers insight on top performing women?s self-efficacy and their views on the college climate, the benefits from various support systems - advising, mentoring, social and financial - and the existing programming and initiatives that can play a role in their achievements. The results indicate that women students are interested and efficacious with respect to obtaining an engineering degree, and that the college climate is, on average, warm and accepting. Howev
A two input neuron model for multi-lingual web pages for education Indian subcontinent is an area of multilingual and multi-cultural diversity. Introducing web-enabled education is a challenge as one needs content-bas...
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A two input neuron model for multi-lingual web pages for education Indian subcontinent is an area of multilingual and multi-cultural diversity. Introducing web-enabled education is a challenge as one needs content-based approaches for web pages with english and regional language texts. Translational tools many times get hampered due to time and context-based interpretations. So a generic tool to identify the content of web pages is needed and this will form the basis for later elaborations on the text. The aim of the paper is to present a 2-input neural model which captures salient features of a subject to identify the content in a regular web page containing both English and Telugu-one of the regional languages of India- and test it with computer generated, printed and handwritten formats. Typical words having common content are chosen and neural network is used to arrive at a normalised output. The example of a physics text discussing magnetism is used as an illustration.
The ever-growing use of the Internet comes with a surging escalation of communication and data access. Most existing intrusion detection systems have assumed the one-size-fits-all solution model. Such IDS is not as ec...
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Business process modeling plays a major role in industry and academia. As a result, current research focuses on its assistance. Business process modeling is a time-consuming task and its effort is hard to predict, and...
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ISBN:
(纸本)9783885792710
Business process modeling plays a major role in industry and academia. As a result, current research focuses on its assistance. Business process modeling is a time-consuming task and its effort is hard to predict, and a plethora of concepts exists for facilitating and improving it. A concept that has not been studied yet is prediction of the remaining effort of business process modeling. In this paper we tackle this issue and suggest a solution for measuring the progress of business process modeling. Our solution is based on the assumption that a reference model is given representing a best practice of a business process. In addition, a set of process variants exists for that reference model. Under these conditions, we propose two measurement approaches that base on the longest common subsequence algorithm and determine the effort required to complete business process modeling. The main benefit of the approaches is the possibility of effectively structuring and monitoring the development of business process modeling projects.
In order to solve practical problems in network teaching data analysis ,the web-based instruction data of mathematical models and model framework was build .In the core process that data scoop out, the main adoption t...
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Course of algorithm is a specialized course of computerscience with both strong abstract nature and practicality, for which needs of algorithm visualization technique in CAI is prominent. This paper develops a visual...
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Course of algorithm is a specialized course of computerscience with both strong abstract nature and practicality, for which needs of algorithm visualization technique in CAI is prominent. This paper develops a visualized CAI aiming at the characteristics of the course of algorithm, which provides users with the functions like responding, changing, constructing and presenting, conforming to the engagement taxonomy defined by working group on "Improving the Educational Impact of Algorithm Visualization".
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