BACKGROUND AND PURPOSE TIMI angiographic classification measures coronary residual flow and recanalization. We developed a Thrombolysis in Brain Ischemia (TIBI) classification by using transcranial Doppler (TCD) to noninvasively monitor intracranial vessel residual flow signals. We examined whether the emergent TCD TIBI classification correlated with stroke severity and outcome in patients trea...

This paper presents a methodology for classification of twophase flow patterns in fluid systems, which takes the measurements of an in situ ultrasonic sensor as inputs. In contrast to the common practice of having an array of ultrasonic detectors, the underlying algorithm requires only a single sensor hardware in combination with an integrated software of signal conditioning, feature extraction...

Due to the amount of data nowadays, automatic detection, classification and visualization of features is necessary for a thorough inspection of flow data sets. Pattern matching using vector valued templates has already been applied successfully for the detection of features. In this paper, the approach is extended to automatically compute feature based segmentations of flow data sets. Different...

Flow state tables are an essential component for improving the performance of packet classification in network security and traffic management. Generally, a hash table is used to store the state of each flow due to its fast lookup speed. However, hash table collisions can severely reduce the effectiveness of packet classification using a flow state table. In this paper, we propose three schemes...

With the rapid development of the Internet, P2P has become the main network application in the Internet, which consumes most of the network resources. Accurately identifying and making control of the P2P traffic is of great significance. As a mature classification theory, support vector machine (SVM) algorithm is suitable for P2P traffic identification. This paper proposes a SVM based P2P flow ...

In this work we compare different methods for router workload deduction and flow classification schemes. Gigabit-routing solutions and different schemes of integrated switching and routing (Internet protocol (IP) switching) have emerged. Several flow classification schemes to be used in traffic-controled IP switching are presented and evaluated. As a new alternative, the ‘Learning Vector Quanti...

Multiprocessor systems are possible to use for parallel computation related to association and classification tasks. For efficient solution above described tasks are used neural networks in which computation is processed in sense of data-driven executing. Similar model is used in data flow computers also. This article describes abilities of transformation neural networks to computation model ap...

A new intrusion classification scheme has been introduced which can effectively improve the classification performance when only few training data are available. In the proposed system, traffic flows are described using the statistical features and flow correlation information is modeled by IDS. Our proposed system is used to incorporate flow correlation information into the classification proc...

In the Internet shared by the various applications, it is necessary to realize the policy–service based on the traffic characteristics. For this purpose, the router is required to forward the packets according to the requirements of the traffic flow that the packet belongs to. However, the packet (and flow) classification could easily become a bottleneck in the high–speed router because the rou...