Abstract The increasingly developed online platform generates a large amount of reviews every moment, e.g., Yelp and Amazon. Consumers gradually develop the habit reading previous before making decision buying or choosing various products. Online play an vital part in determining consumers’ purchase choices e-commerce, yet many are intentionally created to confuse mislead potential consumers. M...

As fraudsters understand the time window and act fast, real-time fraud management systems becomes necessary in Telecommunication Industry. In this work, by analyzing traces collected from a nationwide cellular network over a period of a month, an online behavior-based anomaly detection system is provided. Over time, users' interactions with the network provides a vast amount of usage data. Thes...

The subject of on-line detection and location of inter-turn short circuits in the stator windings of three-phase induction motors is discussed, and a noninvasive approach, based on the computer-aided monitoring of the stator current Parks Vector, is introduced. Experimental results, obtained by using a special fault producing test rig, demonstrate the effectiveness of the proposed technique, fo...

For the on-line collision detection with a multi-arm robot a fast method for computing the so-called collision vector is presented. Manipulators and obstacles are modelled by sets of convex polytopes. Known distance algorithms serve as a foundation. To speed up the collision detection dynamic obstacles are approximated by geometric primitives and organized in hierarchies. On-line, the here intr...

We participate in the BB3 and GE4 tasks of BioNLPST 2016. In the BB3 task, we adopt word representation methods to improve the feature-based Biomedical Event Extraction System, and take the 4th place. In the GE4 task, based on the Uturku system, a two-stage method is proposed for trigger detection, which divides trigger detection into recognition stage and classification stage, using different ...