Abstract: Technologies are generally described for a framework to automatically estimate cross-VM covert channel rapacity for channels such as central processing unit (CPU) load, CPU L2 cache, memory bus and disk bus. In some examples, the framework may include automated parameter tuning for various cross-VM covert channels to achieve high data rate and automated capacity estimation of those cross-VM covert channels through machine learning. Shannon Entropy formulation may be applied to estimate the capacity of cross-VM covert channels established on any given cloud platform. Furthermore, the noise of a cross-VM covert channel under a specific cloud platform may be statistically modeled to eliminate the covert channel implementations which perform poorly, thereby narrowing the parameter space. A number of sample signals may be collected with their corresponding ground truth labels, and machine learning tools may be utilized to cross-validate the samples and estimate the capacity of the covert channels.

Abstract: A method includes determining a location of erroneous content in a web page in response to a user's request for correcting the erroneous content in the web page; receiving the user's input of correction content for the erroneous content; and submitting correction information to a correction service provider including the location of the erroneous content and the correction content. An alternative method includes receiving correction information submitted by a user for erroneous content in a web page, the correction information including a location of the erroneous content and correction content; storing the received correction information; and retrieving the correction information and sending the correction information to the user in response to the user's request for visiting the web page.

Abstract: A method includes determining a location of erroneous content in a web page in response to a user's request for correcting the erroneous content in the web page; receiving the user's input of correction content for the erroneous content; and submitting correction information to a correction service provider including the location of the erroneous content and the correction content. An alternative method includes receiving correction information submitted by a user for erroneous content in a web page, the correction information including a location of the erroneous content and correction content; storing the received correction information; and retrieving the correction information and sending the correction information to the user in response to the user's request for visiting the web page.

Abstract: A location device for holding a number of probes is provided. The probes include a body, a first needle and a second needle respectively and coaxially disposed at opposite ends of the body. The location device includes a first support structure, a second support structure overlapping the first support structure and a number of through holes running through the first support structure and the second support structure. Each of the through holes includes a locating hole, a first aperture and a second aperture respectively disposed at opposite ends of and communicated with the locating hole and configured for respectively receiving the first, second needle of the probe. The first, second needle respectively extend out of the first, second aperture. The probes are clamped by the first, second support structure and located by the locating hole of the support device.

Abstract: A locating block holding device comprises a fixture floor, a magnet and a locating block. The fixture floor defines a channel and a coaxial receiving groove formed underneath the channel thereof, the receiving groove communicating with the channel with a shoulder formed between the receiving groove and the channel. The magnet is received in the receiving groove. The locating block, made from magnetic material such that the magnet is capable of firmly and stably holding the locating block on the shoulder in the channel, is disposed on the shoulder in the channel and above the magnet.

Abstract: A camera module includes a circuit board, an image sensor, a lens module, and a filter. The image sensor is mounted on the circuit board. The lens module is mounted on the circuit board and receives the image sensor therein. The lens module includes a barrel with at least one lens received therein and a holder. The holder defines a cavity. The cavity includes a first receiving portion, with the lens module received therein, and a second receiving portion, with the image sensor received therein. The filter covers an inner surface of the holder bounding the second receiving portion for trapping dust entered into the second receiving portion.

Abstract: A computing system comprises one or more system components, such as CPU, BIOS, storage devices, controllers, etc. The system components may be provided on a chipset or a motherboard. The system components are configured with pins made from shape memory alloy.