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Because data collection in HPC systems happens on the nodes and is easily related to the job running on the node, tools presenting the data and subsequent analyses to the user generally present them at the job level. Our position is that this is the wrong level of abstraction and thus limits the value of the analyses, often dissuading users from using any of the offered tools. In this paper we present...
This paper describes a novel system for automating data collection and surveying in a retail store using mobile robots. The manpower cost for surveying and monitoring the shelves in retail stores are high, because of which these activities are not repeated frequently causing reduced customer satisfaction and loss of revenue. Further, the accuracy of data collected may be improved by avoiding human...
A problem in managing the ever growing computer networks nowadays is the analysis of events detected by intrusion detection systems and the classification whether an event was correctly detected or not. When a false positive is detected by the user, changes to the configuration must be made and evaluated before they can be adopted to productive use. This paper describes an approach for a visual analysis...
Tens of thousands of web applications are written in Flask, a Python-based web framework. Despite a rich ecosystem of extensions, there is none that supports the developer in gaining insight into the evolving performance of their service. In this paper, we introduce Flask Dashboard, a library that addresses this problem. We present the ease with which the library can be integrated in an already existing...
It is known that the Sense of Agency is related to time lag between sensory feedbacks including vision and their causal movements. Most of previous studies about the Sense of Agency evaluated effects of time lag to the Sense of Agency on a single movement like pushing a button. The effects of the lagged visual feedback to the Sense of Agency on a continuous movement, however, were still unclear. The...
This paper presents new approaches for construction of knowledge-oriented control systems. The AND/OR-graph model is improved for control rules visualization and interactive processing. The knowledge-oriented system for the dispatcher that regulates the safe operation with electrical equipment made it possible to increase the reliability of decisions taken by the dispatcher by 12%.
With the rapid development of Internet technologies such as cloud computing and big data, the scales of distributed information systems in big companies have grown to enormous sizes. Automatic detection and diagnosis of system faults in the large-scale information systems is complicated and important in both practice and research. In this paper, we propose a Graph-based Fault Diagnosis approach in...
The use of Virtual Environments in system control operation, in particular power systems (power generation and propagation), provides new paradigms to daily activities of monitoring and controlling. The existence of a three-dimensional geometric model, true to the real structures, when used to develop Virtual Reality systems, allows the acquisition of mental models that improve communication between...
Visual Simultaneous Localization and Mapping (SLAM) has been used for markerless tracking in augmented reality applications. Distributed SLAM helps multiple agents to collaboratively explore and build a global map of the environment while estimating their locations in it. One of the main challenges in Distributed SLAM is to identify local map overlaps of these agents, especially when their initial...
This article selects load balancing system technology to analyze, combines the live migration technology of virtual machine, and studys the frame of virtual machine live migration as well as the mathematical model applied to concrete process of the migration. The article presents that the process of combining the specific strategies of load balance to the frame of live migration, that the simulation...
The significant advance of the Internet allows the inclusion of concepts like IoT (Internet of Things) and Cloud Computing. Nowadays, the deployment of systems and platforms of IoT and cloud facilitate the monitoring and remote management in different areas. However, The structural health monitoring presents networks with centralized topology, deployment of local data and a poor acquisition of seismic...
This paper describes a new approach for the representation of profiles of cognitive functions. The profiles are used in introspective monitoring to keep updated the meta-level about the most relevant attributes of each cognitive function that is executed in the object-level. The profiles are called algorithmic knowledge profiles. Declarative meta-knowledge, procedural meta-knowledge and strategic...
RADARSAT-2 SAR data was used to develop a monitoring program for Canadian forest lands with the aim to provide information on forest harvesting. Study sites in British Columbia and New Brunswick Canada were selected. RADARSAT-2 MultiLook Fine mode, acquired from mid-June through mid-September, from 2011 to 2015, was analyzed with the aim to detect forest disturbances. Due to large data volumes and...
While listening comprehension is one of the foundations for effective communication, the teaching and learning of listening is usually limited to conventional methods. Fortunately, with the development of technology, particularly 3D virtual reality, such limits as time and space encountered in a conventional classroom can be overcome. This study recruited 27 beginners in Chinese and arranged these...
Our work aims at helping teachers to monitor learners' engagement during mind mapping activities. The use of mind maps helps students to elaborate cognitive learning strategies like creating and organizing contents. To assess the quality of these mind maps, teachers need tools to understand students' choices and strategies when constructing their mind maps. We have defined in collaboration with teachers...
Post hemiparetic stroke an individual may face difficulty performing bimanual tasks due to an asymmetry in their arms' strengths. Here, we determined whether participants with a strength asymmetry were impaired bi-directionally when matching torques between arms (i.e., paretic arm matches non-paretic arm, non-paretic arm matches paretic arm). Six participants with chronic hemiparetic stroke and four...
The usage of dashboards in organizations along with the development of dashboard applications has continued to proliferate nowadays. This is as a result of the rapid replication of information and communication technology (ICT) brought on by the advent of Big Data. There is the need for people, businesses, governmental and non-governmental organizations to be able to view their performance and activities...
In the era of constantly increasing Earth Observation (EO) data collections, information extraction and data analysis should be enhanced with a multi-temporal component enabled by the temporal resolution of satellite missions and create handy, yet powerful tools for those applications involving monitoring of land cover. The image time series, as results of the satellite revisiting period, gives you...
Satellite Image Time Series (SITS) are widely used in monitoring the Earth's changes for various applications such as land-cover evolution analysis. In this paper, we propose an approach based on Latent Dirichlet Allocation (LDA) which considers spatial and spectral information to measure the land-cover changes in multispectral SITS. For our experiments, we focus on the vegetation dynamics of the...
An important concern for current IaaS cloud providers is to be falsely accused by cloud users for the response delays of their applications running on the cloud. Since cloud computing brings an additional virtualization layer between guest-OS and hardware resources, the relationship between the performance of an application and its resource consumption becomes obscure. Only monitoring resource consumption...
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