Tsinghua University

Shenzhen Tencent Computer Systems Company Limited

Yuezhi Zhou

Yaoxue Zhang

Di Zhang

Hao Liu

Wenyuan Kuang

Guangbin Xu

Chuan Chen

Juhong Wang

Xiang Lan

Li Wei

Huajie Yang

Jinzhao Liu

Guanfei Guo

Quanwei Huang

An unsupervised image segmentation method includes: performing a superpixel segmentation on an image containing a target object to acquire a plurality of superpixel sets, each superpixel set corresponding to a respective superpixel node; generating an undirected graph according to superpixel nodes; determining foreground superpixel nodes and background superpixel nodes in the undirected graph according to a first label set corresponding to the plurality of superpixel nodes; generating a minimization objective function according to the foreground superpixel nodes and the background superpixel nodes; segmenting the undirected graph according to the minimization objective function to acquire a foreground part and a background part and to generate a second label set; and performing an image segmentation on the image according to a comparison result of the first label set and the second label set.

Unsupervised image segmentation method and electronic device

Embodiments of the present disclosure provide a method and device for a personal commute time period. The method includes: obtaining data of at least one commute trajectory of a user within a preset time period; performing cluster analysis on the data of the at least one commute trajectory to obtain at least one commute trajectory cluster, and obtaining a combined trajectory according to the commute trajectories in each commute trajectory cluster; for each commute trajectory T of the at least one commute trajectory, determining a commute speed of the user according to a combined trajectory corresponding to a commute trajectory cluster to which the commute trajectory T belongs; and determining a commute time period corresponding to the commute trajectory T according to the commute speed.

Method and device for determining personal commute time period

Disclosed are a method and device for detecting an abnormal load. The method includes: collecting data of each load item in all hosts; pre-processing to obtain a second sequence corresponding to each load item; obtaining a coefficient matrix and a detail vector; computing a weighted mean of abnormal load probabilities of all the coefficient vectors, to obtain an abnormal load probability of each second sequence; comparing the abnormal load probability with a confidence interval, and judging whether there is an abnormal load, and judging that there is no abnormity in the corresponding second sequence if the abnormal load probability of each second sequence is in the confidence interval; judging whether there is an abnormal load according to data of all load items and the abnormal load probability of each second sequence; and finding a bearing host that has the abnormal load from the current online service.

Method for detecting abnormal load in cloud computing oriented online service

A method for transmitting data using a tail time in a cellular network comprising steps of: receiving a data transmission request from a mobile terminal, and inserting the data transmission request into a real-time request queue or a delay-tolerant request queue according to a type of the data transmission request; determining a tail time according to a state of a RRC state machine and a throughput of the mobile terminal; and obtaining the data transmission request to be transmitted from the real-time request queue or the delay-tolerant request queue, and transmitting the real-time data transmission request directly as there are real-time data transmission requests in the real-time request queue, and transmitting the delay-tolerant data transmission request using the tail time when the tail time is available for transmitting data or transmitting the delay-tolerant data transmission request directly when a deadline of the delay-tolerant data transmission request is approached.

Method for transmitting data using tail time in cellular network

A method for positioning an IP location and a server are provided. The method comprises: obtaining location data of mobile terminals used by a plurality of users in a preset period to generate a first geographic location data set; pre-processing the first geographic location data set to obtain a second geographic location data set; obtaining a first selected location and a second selected location of each user according to the second geographic location data set; obtaining IP address data corresponding to fixed terminals used by the plurality of users to generate an IP address data set; pre-processing the IP address data set to obtain a plurality of IP sections; obtaining a plurality of first selected locations and second selected locations corresponding to the users of each IP section; and clustering the plurality of first selected locations and second selected locations to obtain the IP location of the IP section. The present disclosure achieves an IP positioning precision on a street level and has advantageous of simple arrangement and fast response speed.

Method for positioning IP location and server

A method for transferring data between terminal apparatuses in a network at least comprising a server, a first terminal apparatus and a second terminal apparatus, wherein the server has a storage device at least comprising a first and a second disk images; the method comprising: generating a message of data transfer request based on the information on the data to be transferred; transferring the generated message to the second terminal apparatus; receiving the message and transferring the message to the server if the requested data transfer is allowed; and transferring date between the first disk image and the second disk image, in response to the reception of the message.

Method for transferring data between terminal apparatuses in a transparent computation system

A computing system based on Transparence Computing consists of clients and a server. There is no disk and no preinstalled OS on the client; a remote booting chip is set on the client's mainboard for downloading and loading the OS. Boot-supporting services, OS kernel mirrors, and applications are preset on the server; After being powered, the client broadcasts the boot request to the network and the server allocates network parameters for it. The client downloads an OS-selecting script from the server. After the user selects the needed OS, the client downloads and loads the selected OS from the server. Hence, the client fulfills the user's computing requirements just as a normal PC. The computing work is implemented on the client-side, during which the client can acquire corresponding resources such as applications, data, and documents from the server on demand. The client can be provided with private storage across the network by presetting a service in the mirror for creating virtual disks on the server, and thus data generated during or after the computing can be persistently stored on the server's storage.

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Beijing, China

Yuezhi Zhou