Abstract: The present disclosure relates to the monitoring of network traffic between one or more users and one or more web applications. In particular, the disclosure relates to the detection and evaluation of network-induced quality of experience (QoE) degradations of the users. Thus, the disclosure provides a device for detecting a network-induced contribution to the QoE degradation. The device is configured to obtain one or more user metrics, the user metrics being indicative of a QoE of one or more users of the web applications, and to obtain one or more content metrics, the content metrics being indicative of a content of the web applications. The device is further configured to determine a QoE degradation of the QoE of the users based on the one or more user metrics, and to determine a contribution information indicative of a network-induced contribution to the determined QoE degradation based on the content metrics.

Abstract: A method and system for detecting abnormal values in an LTE network is provided: dividing measured data into a training and a testing set; defining clusters and parameters in the training set, and finding the cluster to which each point belongs using clustering algorithms; calculating a likelihood of each point based on parameters and clustering results; assigning the likelihood into an abnormal, an intermediate or a normal region according to a set warning and alarming threshold; and applying a calculated model to the testing set, the likelihood of each point is calculated and assigned to a region, thereby finding abnormal values in the testing set. The variation of data points versus time may be better understood by introducing time axes into the model, thereby multiple abnormal values may be discovered from a sequence of multiple points. The method can immediately detect abnormal values and the error rate is low.

Abstract: A method and system for detecting abnormal values in an LTE network is provided: dividing measured data into a training and a testing set; defining clusters and parameters in the training set, and finding the cluster to which each point belongs using clustering algorithms; calculating a likelihood of each point based on parameters and clustering results; assigning the likelihood into an abnormal, an intermediate or a normal region according to a set warning and alarming threshold; and applying a calculated model to the testing set, the likelihood of each point is calculated and assigned to a region, thereby finding abnormal values in the testing set. The variation of data points versus time may be better understood by introducing time axes into the model, thereby multiple abnormal values may be discovered from a sequence of multiple points. The method can immediately detect abnormal values and the error rate is low.

Abstract: Extinguishing a fire by pressurizing a tank containing an extinguishing liquid. According to the invention, the tank containing the liquid is provided with an expulsion outlet at a front end, a gas generator (17) is installed at a rear end, and a diaphragm forming an inflatable bag (19) is installed inside the tank, being folded prior to triggering in a confinement space at the front of the gas generator, the outlet from the generator being associated with a deflector (47) including a rearwardly-directed ejection passage (49).

Abstract: A crowdsourcing-mode-based analysis method for utilization of wireless network resources by mobile applications (Apps) includes the following steps. Behavior characteristic data of each type of mobile App is collected by using a data collection tool, which is installed on a mobile client and based on a crowdsourcing technology and an analysis algorithm located on a cloud server, and using a machine learning algorithm targeted to the behavior characteristic data. A three-stage two-layer associated mapping model is established among a characteristic behavior of the mobile application, wireless network traffic, and wireless network resources, and quantitatively analyzing, in a time dimension, how each mobile application service in a mobile communications network consumes wireless resources in a cell.

Abstract: Extinguishing a fire by pressurizing a tank containing an extinguishing liquid. According to the invention, the tank containing the liquid is provided with an expulsion outlet at a front end, a gas generator (17) is installed at a rear end, and a diaphragm forming an inflatable bag (19) is installed inside the tank, being folded prior to triggering in a confinement space at the front of the gas generator, the outlet from the generator being associated with a deflector (47) including a rearwardly-directed ejection passage (49).