The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
We propose and demonstrate cross-stratum Broker orchestration for scientific applications and heterogeneous resources reservation in DCs, HPC facilities and networks belonging to different operators. Experiments were performed in a distributed set-up spanning across three continents.
In modern manufacturing systems, the failure of machine tools may cause unexpected system breakdown and bring about tremendous financial losses. With an effective tool condition monitoring (TCM), unnecessary downtime for maintenance can be reduced. Unfortunately, machine tool dynamics are complex, and the accurate relationship between monitoring signals and the tool health states is difficult to describe...
The opportunities to empirically study temporal networks nowadays are immense thanks to Internet of Things technologies along with ubiquitous and pervasive computing that allow a real-time fine-grained collection of social network data. This empowers data analytics and data scientists to reason about complex temporal phenomena, such as disease spread, residential energy consumption, political conflicts...
Because of their strong hydrophilicity, nanoporous silica materials are good candidates for humidity sensor applications. We employed molecular modeling to investigate the water behavior when confined in such materials in order to refine the design of the next generation of devices. We focused in this work on the mechanical behavior of those porous silica materials.
The demand for near real-time analysis of streaming data is increasing rapidly in scientific projects. This trend is driven by the fact that it is expensive and time consuming to design and execute complex experiments and simulations. During an experiment, the research team and the team at the experiment facility will want to analyze data as it is generated, interpret it, and collaboratively make...
This paper describes tip-over prevention control of a teleoperated excavator based on zero moment point (ZMP) prediction. This method predicts a future ZMP when an operation input is given. This allows the determination of the risk of tip-over by the operation input before an excavator moves. When the risk is detected, the operation input to the actuator is modified to keep the excavator from falling...
This paper describes a reasoning approach to decision making with uncertain heterogeneous (soft and hard) information of variable reliability based on belief-based argumentation. Arguments are built to support or refute a set of hypotheses about the situation of interest. Beliefs in the arguments are fused and used for decision making. The fusion process is complicated by different models used for...
There has been an increasing number of cyber-physical systems (CPSs) in the last decade. CPSs sometimes include wireless networks that incur delay and errors. In this paper, we have developed an integrated design approach to combine control system and faulttolerant wireless network design for an advanced, hightemperature, small, modular nuclear reactor (SMR). Our design approach is composed of two...
Recently, the Optimal Spectral Sampling (OSS) method was implemented in a development version of the Community Radiative Transfer Model (CRTM) at JCSDA. This presentation describes the way that the OSS is implemented in CRTM, and some preliminary evaluation of the performance of the CRTM-OSS in comparison with CRTM-ODPS method. One of the important benefits of the OSS method is its capability to simulate...
Motivated by the needs to develop a sensing method that simultaneously characterizes the dynamic behavior and system properties for analyzing and controlling a physical system, this paper formulates the harmonic response of an eddy-current (EC) sensor using the distributed current source (DCS) models to determine the workpiece thickness and displacement from the measured magnetic flux density of the...
The increasing use of interactive technologies, digital media, and dynamic content in smart spaces such as libraries and museums is improving the user experience substantially. In well-designed learning spaces, digital content can itself become a service, possibly with creative and social output to interact with users. In this paper we study the quantitative modeling of the Quality of Experience (QoE)...
This paper proposed a method to build knowledge from one and a half years of UK traffic data sets. The method used is the Fast Incremental Model Trees - Drift Detection (FIMT-DD) with an improvement on the perceptron rule. In order to predict a traditional data set, we first analyze the model. After we have analyzed the model, we then average it from different arrangements of the datasets. In a stream...
A Cyber-physical system (CPS) is an engineering system made of computational components, i.e. cyber elements, and physical elements, that are connected by a communication network. CPSs have emerged as the contemporarily leading technology in major industry sectors such as manufacture, aerospace, automotive, etc. Nowadays CPS is almost the synonym of control systems for large and complex engineering...
Software engineering has been historically topdown. From a fully specified problem, a software engineer needs to detail each step of the resolution to get a solution. The resulting program will be functionally adequate as long as its execution environment complies with the original specifications. With their large amount of data, their ever changing multi-level dynamics, smart cities are too complex...
A smart environment system should automatically control the devices according to the sensing information and users' requirements so as to keep the environmental elements (e.g., temperature, light) within the desired range. System control with minimum power is one key issue in such a system. In this paper, we propose a multi-dimension model for system control. In this model, each environmental element...
In normal conversation, the meanings of data, information and knowledge can often be used interchangeably. At some level of approximation, these three terms are near enough the same. In the domain of computing and in particular the topic known as artificial intelligence, to accept this generalisation is to lose some resolution in a plausible model of the origin of thought. This paper offers an interpretation...
Recent multimedia research has increasingly focused on large scale multimodal data from disparate geospatial sensors. In addition to the volume of the data, the diversity and granularity of the data poses a major challenge in extracting meaningful and actionable information. To address this, we present a novel spatial interpolation framework, capable of incorporating multimodal data sources and modeling...
Matrix-vector multiplication, as a key computing operation, has been largely adopted in applications and hence greatly affects the execution efficiency. A common technique to enhance the performance of matrix-vector multiplication is increasing execution parallelism, which results in higher design cost. In recent years, new devices and structures have been widely investigated as alternative solutions...
We introduce an action selection framework for the advanced behavioural animation of virtual creatures. In modern creative media, the behavioural animation of characters which act in a believable fashion is an ongoing challenge. Traditional action selection approaches which attempt to make an agent act rationally often fall short of the believability required for the modern consumer. Often the most...
This paper addresses the problem of autonomous navigation of a quadrotor helicopter using state estimators when the GPS signal is not available. The main objective is to estimate the translational position and velocity of the flying machine. The observer proposed uses a double integral approximation of the acceleration defined in the mathematical model in order to estimate the states previously mentioned...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.