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The U.S. National Weather Service (NWS) operates an independent array of Tsunami Gauges in Alaska and California. NWS Tsunami Gauges are designed to provide real-time monitoring capability to assess the hazard potential of tsunamis. The gauges are developed at the U.S. National Tsunami Warning Center (NTWC) and encompass two distinct designs. The Alpha version utilizes a high precision radar sensor,...
Shell Exploration & Production Company is working with academic, non-profit, and federal stakeholders in the Gulf of Mexico to develop and implement long term environmental offshore monitoring programs. One such program, started in 2008 between Shell and the National Oceanic and Atmospheric Administration, has expanded to include new collaborators working together to operate multiple underwater...
Internet scale continues to expand, the IPv6 protocol standard is implemented in the network gradually, make the behavior characteristic of the network become more changeful and more unstable, so it can be more detailed to carry on network situation perception system according to network data stream to become the next research direction. The support of IPv6 Network Situation Awareness system is realized...
This paper presents the development of an interface for small Unmanned Aerial Systems to allow the deployment of ignition spheres at a prescribed fire, real-time fire modeling, and user updates to the automated fire model. Current systems are limited to fire monitoring or modeling, generally rely on a desktop computer, and do not allow updates to the model nor parameter adjustments in the field. The...
The mass monitoring data collected by the on-line monitoring of the substation is stored in the Hadoop Distributed File System (HDFS), and the index table structure of the online monitoring data is optimized and stored in the distributed structured database (HBase) Quick access to monitoring data. Based on Hadoop 's online monitoring data processing experiment platform, a fast fault identification...
With the continuous development of communication technology, Unified Communication (UC) has also attracted much attention. At present, most of the Unified Communication servers are deployed on virtual machines, but virtual machines have the characteristics of large resource occupation, slow startup speed, poor flexibility and low efficiency, which brings some problems. In contrast, container technology...
Energy forecast is essential for a good planning of the electricity consumption as well as for the implementation of decision support systems which can lead the decision making process of energy system. Energy consumption time series prediction problems represent a difficult type of predictive modelling problem due to the existence of complex linear and non-linear patterns. This paper presents two...
Objective markers obtained from acoustic analysis of speech are of great importance for clinical evaluation of voice disorders because they are non-invasive and provide a severity index of the disorder which allows clinicians to monitor the progress of patients and documents quantitatively the degree of perceived hoarseness. The object of the present study is to introduce a fractional order long-term...
It is shown that the excessive inhalation of PM (Particulate Matter) 2.5 will seriously affect the health of human. Many countries have deployed various detectors for air pollution in order to report concentration of PM2.5 to show how much seriousness of air pollution is. But, what more important is how much PM 2.5 has been inhaled by people anytime and anywhere. Therefore, in this paper, we propose...
In the paper, principles of constructing systems and functional abilities of information support of human-operators (IOSS) of power units of nuclear power plants (NPP) and their place within the system of upper unit-level of automated process control systems (APCS) of NPP. The purpose of implementation of the NPP IOSS is preventing or decreasing the frequency and heaviness of operator errors appearing...
Science is conducted collaboratively, often requiring knowledge sharing about computational experiments. When experiments include only datasets, they can be shared using Uniform Resource Identifiers (URIs) or Digital Object Identifiers (DOIs). An experiment, however, seldom includes only datasets, but more often includes software, its past execution, provenance, and associated documentation. The Research...
Understanding and predicting cellular traffic at large-scale and fine-granularity is beneficial and valuable to mobile users, wireless carriers and city authorities. Predicting cellular traffic in modern metropolis is particularly challenging because of the tremendous temporal and spatial dynamics introduced by diverse user Internet behaviours and frequent user mobility citywide. In this paper, we...
Frosts are one of the main risks faced by farmers during the winter and spring seasons. These events can cause significant damage to cultivations and crops. In Chile, these frosts generate significant losses in the agricultural production sector, causing crop losses of an entire year and compromising the income of the following year, especially fruit and wine growers. In this work we developed an...
Fault prediction technology is important to avoid serious process failure. This paper is concerned with the fault prediction of dynamic industrial process with incipient faults and proposes a canonical variable trend analysis (CVTA) based fault prediction method. In the proposed method, canonical variate analysis (CVA) algorithm is firstly applied to analyze the process dynamics and extract the uncorrelated...
Size and complexity of contemporary High Performance Computing (HPC) systems increases permanently. While the reliability of a single component and compute node is high, the huge amount of components comprising these systems results in the fact that defects happen regularly. This drives the need to manage failure situations. Common issues are component failures or node soft lock-ups that typically...
In Infrastructure as a Service clouds, customers lease virtual resources (e.g., CPU, memory, network) offered by cloud providers, paying for the allocated capacity of resources, regardless of their effective use. In this context, it is in the interest of the customers to reserve resources with sufficient capacity so that their applications achieve good performance while, at the same time, minimizing...
This paper addresses the shared resource contention problem associated with the auto-parallelization of running queries in distributed stream processing engines. In such platforms, analyzing a large amount of data often requires to execute user-defined queries over continues raw-inputs in a parallel fashion at each single host. However, previous studies showed that the collocated applications can...
Environment monitoring is a challenging task owing to its ever changing dynamics. Furthermore, deploying a team of resource constrained robots to persistently monitor the environment encompasses intelligently selecting the training samples which are spread across a significantly large area to conservatively spend the resources allocated. In order to accomplish this using a team of fully autonomous...
The paper presents some models based on artificial neural networks for particulate matter concentration forecasting. A methodology framework is proposed for selecting the best forecasting model from a set of neural networks models. First, two artificial neural network types (feed forward and radial basis) are analyzed for concentration forecasting of the particulate matter with diameter less than...
In this paper, anomaly symptom detection using ensemble prediction based on newly developed weighting method is presented for time series. This weighting method is characterized that weights are determined in proportion to the indices defined by the prediction errors in a certain time period in the past. Next, alarm prediction based on this prediction method is proposed. Prediction accuracy is considered...
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