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.
When a device on network communicates with copious other devices during a time window, this device is called a super point. Super points play important roles in network because they are usually servers, hosts running P2P applications, worms, DDos victims. Super points may change with the time. How to locating these super points from core network efficiently is a hard task. This paper proposed an algorithm...
The increasing complexity and scale of distributed systems has resulted in the manifestation of emergent behavior which substantially affects overall system performance. A significant emergent property is that of the "Long Tail", whereby a small proportion of task stragglers significantly impact job execution completion times. To mitigate such behavior, straggling tasks occurring within...
For research on quality of experience (QoE), mean opinion scores (MOS) are widely chosen as the results of subjective tests and the ground-truth reference for further research on objective quality modeling. Furthermore, the results of objective quality modeling are used for QoE management subsequently. Therefore, the performance of QoE management process actually depends heavily on MOS. However, the...
This article researches the applications of tree growth status tracking based on binocular vision. We conducted experiments using dual-camera of parallel optical axis to capture images, by the way of looking feature points calibrated in the tree's image to match the two images of trees. We calculated the spatial information change of the trees marked point within a certain time interval changes, and...
As availability of web service has become a great concern in SOA, monitoring mechanism is often deployed to detect and recover failures for service composition. While monitoring mechanism could improve the availability to an extent, it may cost more resources and increase the response time perceived by end users. To decrease the overall usage of monitoring resources, this paper proposes to select...
This paper introduces the composition of embedded video monitor system based on ARM9 S3C2440 microprocessor, It discusses the basic elements of the system and the principle, It focus on the hardware composition and the methods of realization about software modules. The system saves the hardware cost for using the compression algorithm.
A new method for nonlinear process monitoring and fault diagnosis based on kernel principal analysis and multiple kernel learning support vector machines is proposed. The data is analyzed using KPCA. T2 and SPE are constructed in the future space. If the T2 and SPE exceed the predefined control limit, a fault may have occurred. Then the nonlinear score vectors are calculated and fed into the MKL-SVM...
This paper analyses the complexity of building railway safety comprehensive monitor system. An Open Integration Architecture of Railway Safety Comprehensive Monitor System (OIA/RSCMS) is proposed on the basis of study on this system building characteristic and present integration architecture. Qinghai-Tibet railway safety comprehensive monitor system is put forward to be built under the guidance of...
A new method for nonlinear process monitoring based on kernel principal analysis and sparse support vector machines is proposed. The data is analyzed using KPCA. T2 and SPE are constructed in the future space. If the T2 and SPE exceed the predefined control limit, a fault may have occurred . Then the nonlinear score vectors are calculated and fed into the sparse SVM to identify the faults. The proposed...
In order to detect abnormal events of chemical processes, a new fault detection method based on kernel principal component analysis (KPCA) is described. Firstly, it removes the noise from data set using wavelet packet transform (WPT). Secondly, a feature vector selector schemes (FVS) based on a geometrical consideration is given to reduce the computation complexity of KPCA when the number of the samples...
To improve work efficiency of the coning, drawing and twisting workshop, reduce labor cost of the textile enterprise, on-line monitoring and control of production yield and machine operating status become very important. According to the information construction requirements of the textile enterprise, firstly, we set up the structure frame diagram through LAN, adapt network distributed structure based...
Peer-to-peer (P2P) networks attract attentions worldwide with their great success in file sharing networks (e.g. Napster, Gnutella, BitTorrent, and Kazaa). In the last decade, numerous studies have been devoted to the problem of resource discovery in P2P networks. However, efficient resource discovery remains a key challenge for large-scale P2P networks. An investigation of existing research on resource...
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.