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Due to the prevalence of Multi-set high-dimensional data in the era of big data, visualization and visual analysis of multiple sets of high-dimensional data are critical to the discovery of data patterns. Parallel Coordinates Plot (PCP) is mainly used for visual analysis of different attributes of the same set. The classic method for visualization on multi-set high-dimensional data is to use a conventional...
In this study, a c-VEP based BCI system was developed to run on three distinctive pseudorandom sequences, namely the m-code, the Gold-code, and the Barker-code. The Visual Evoked Potentials (VEPs) were provoked using these codes. In the online session, subjects controlled a Mindstorms® robot around a fixed track. Choosing the optimal code proved a significant increase in accuracy (p<0.00001) over...
In the field of painting and photography, composition guidelines are widely used under various circumstances in order to arouse people's aesthetic emotions. In this paper, we propose a method to evaluate the composition of a scene according to some certain rules, such as Rule of Third, Diagonal Composition and Triangle Composition. We propose an evaluation function with three parameters for each kind...
Analyzing data is one of today's hot topics. A complete list of fields of research and buzzwords associated with automatic analysis would extend beyond this document. The importance of this topic stems from the amount of data currently produced in research, engineering, and other fields. The size of these data sets renders manual analysis infeasible. Automatic analysis methods are required to cope...
Recognising and understanding the activities performed by people is a fundamental research topic in developing a wi de range of applications that would be societally beneficial. In this article, we present and discuss two research projects on human action recognition based on computer vision techniques. We also report an ongoing research project that focuses on learning human activities through low...
In the energy-efficient smart building, occupancy detection and localization is an area of increasing interest, as services, such as lighting and ventilation, could be targeted towards individual occupants instead of an entire room or floor. Also, an increasing quantity and diversity of environmental sensors are being added to smart buildings to ensure the quality of services provided by the building...
Identifying the root causes of an out-of-control signal is a crucial part in statistical process control. In this paper we propose a network topology approach to do such analysis in multivariate process variability monitoring. A real example will be presented to illustrate the analysis of the proposed method.
This paper presents an online steady-state visual evoked potential (SSVEP) based brain-computer interface (BCI). Stimuli are displayed on a liquid crystal display (LCD) screen with a frame based encoding method to elicit SSVEPs with a wide range of frequencies. This system focuses strongly on practicability and convenience, including an adequate alphabet (42 characters) that can allow a wide range...
This paper presents a new monitoring tool called SYNEMA that helps to visualize different types of alerts from well-known security sensors. The architecture of the proposed tool is distributed and enables centralizing the collected information into a lightweight visualizer. The front-end proposes many display modes in order to give the ability to clearly see malicious activities and to be able to...
Researched and developed the software system of Information Management and Decision Support System of the hidden danger troubleshooting of Coal Mine. By using the technology of collaborative software to realize fast circulation of information, dynamic tracking, rapid feedback, and closed-loop management of transaction processing for the hidden danger, and by applying the technology of data mining,...
Since Fall 2007, the famous Lehman brothers had suffered the “ Subprime Mortgage ” and filed bankrupt, Wall Street was faced a heavy pressure immediately: financial tsunami. More over the whole economic market in the world is all linked with one another, certainly American Press is fallen down inevitably. Meanwhile, the Amazon Company has been announced a new Kindle (eBook) to compete with web newspaper...
In this paper, it is presented a solution that performs the alarm correlation based in the dependencies between the network devices using baseline or digital signature of network segment (DSNS). The main objective of this work is to provide a network-wide view, showing its global status instead of just presenting the various alarms generated individually for different network elements. A dependency...
We present a novel approach to analyse and model psycho-physiological body activation patterns that emerge from physical and mental activity during daily routines. We analyse our approach on a 62 h dataset of daily routine recordings using acceleration and heart rate sensors. We present a descriptive analysis of psycho-physiological activations during the routines using a novel visualisation technique...
The timely and reliable data transfer required by many networked applications necessitates the development of comprehensive security solutions to monitor and protect against an increasing number of malicious attacks. However, providing complete cyber space situation awareness is extremely challenging because of the lack of effective translation mechanisms from low-level situation information to high-level...
Business user oritented business process monitoring plays a key role for enterprises to improve business processes' visibility and responsiveness. Usually an end-to-end business process is implemented by heterogenous technologies and their combinations in a SOA enviroment, for instance: business process execution language (BPEL), J2EE and any other technologies which can leverage Web service as composition...
We assessed the effects of the addition of dynamic visual elements and sounds to a levee patroller training game on the appraisal of the environment and weather conditions, the engagement of the users and their performance. Results show that the combination of visual dynamics and sounds best conveys the impression of severe weather conditions and most strongly influences the appraisal of the environment...
Work on the construction site is known to be inefficient due to workers spending much time waiting for materials, transporting materials and from frequent interruptions of tasks. Studies on the construction site typically use statistical measures to analyse the sampled data about work and such measures, while very useful, can overlook important features of the data. In this paper we apply a previously...
This study involved an evaluation of our V/Q system by five radiologists using forty-nine clinical data sets. The experts compared the quality of the registration and the color visualization methods. A Web-based user interface was developed to display color-enhanced images and to manipulate those images. The original gray scale image sets were also transformed to a green color table for ventilation...
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