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.
Speed and differential speed measurements are necessary for almost all of manufacturing steel processes. Use of incremental rotary encoder is the cheapest method for this purpose. Classical theoretical algorithms are analyzed in terms of error and sampling time. These methods are used for a Temper mill real case, showing the practical limitations in both speed and differential speed. A new differential...
EGNOS corrections are distributed over most European countries. Unfortunately, the current ground infrastructure saves the correction accuracy only for limited area of Europe. On the edge of that area, the usefulness of the EGNOS corrections is questionable. That problem occurs in Poland. In Space Research Centre there were prepared the analyses of possibilities of extension EGNOS ionospheric correction...
One-way delay (OWD) is an important measurand for network management. It can indicate routing problems, network congestion, and is useful for tracking down application problems to network effects. While active measurements deliver high accuracy, measuring OWD actively on all paths of large networks results in high effort. Thus, passive measurements are attractive. Our approach for measuring OWD is...
Monitoring the health of a sensor network is important for maintaining the health and normal operation of the network. For large-scale cost- effective monitoring, using inexpensive motes as sniffers is an attractive choice. In this paper, we quantify the capability and fidelity of mote-class sniffers for sensor network monitoring. In particular, we experimentally quantify the sustainable workload...
Performing decentralized network fault diagnosis based on network traffic is challenging. Besides inherent stochastic behaviour of observations, measurements may be subject to errors degrading diagnosis timeliness and accuracy. In this paper we present a novel approach in which we aim to mitigate issues of measurement errors by quantifying uncertainty. The uncertainty information is applied in the...
Quality of Service (QoS) measurement in large-scale QoS networks is required to be both cost effective and well performed. Common PC-based QoS measurement often suffers from measurement accuracy problems, especially for delay distribution edge (99.9 percentile) measurement. We propose a generic measurement accuracy evaluation method applicable for any delay measurement equipment. Applying this evaluation...
We propose a novel, passive, nonintrusive method to measure the one-way delay of all the packets flowing between customer sites connected by a provider backbone. Our approach does not sample traffic and requires the injection of a negligible amount of control packets, possibly none. This is obtained by deploying a Measurement Agent in each customer site and exploiting a covert channel to carry information...
3D contactless technology based on capacitive coupling represents a promising solution for high-speed and low power signaling in vertically integrated chips. AC coupled interconnects do not suffer from mechanical stress, and the parasitic load is much reduced when compared to standard DC solutions, such as wire bonding and micro bumps. Communication system based on wireless interconnection scheme...
Based on the analysis of the standard Particle Swarm Optimization and the characteristic of typical multi-intersection for urban trunk road, a traffic flow forecasting model using dynamic recursion neural network is presented. The feature of this network is that the output of the hidden layer connects to the input of itself through the delay and storage of the context layer. The method of self-connection...
In this paper we discuss performance results of a novel real-time closed-loop power amplifier (PA) linearization technique that has originally been proposed by Ahmed and Li. The novel approach performs on-the-fly prediction and measurement of the PA AM/AM and AM/PM non-linearity, stores such non-linear characteristics and calculates their inverse functions in order to pre-distort the base-band amplitude...
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.