A technique for tracking web browsing activity of a client device that includes storing, in a memory, a client profile having a client identifier associated therewith, providing a client device with a cache file having the client identifier embedded therein, receiving from the client device an identification of a client action and the client identifier, and updating the client profile to include the identification of the client action.

An aspect of behavior of an embedded system may be determined by (a) determining a baseline behavior of the embedded system from a sequence of patterns in real-time digital measurements extracted from the embedded system; (b) extracting, while the embedded system is operating, real-time digital measurements from the embedded system; (c) extracting features from the real-time digital measurements extracted from the embedded system while the embedded system was operating; and (d) determining the aspect of the behavior of the embedded system by analyzing the extracted features with respect to features of the baseline behavior determined.

An information processing apparatus includes a memory; and a processor coupled to the memory and the processor configured to: generate first information including configuration information and/or interface information of a first program of an old version based on code of the first program of the old version, and generate second information including configuration information and/or interface information of the first program of a new version based on code of the first program of the new version; and generate information on compatibility between the first program of the old version and the first program of the new version based on whether there is a difference between the first information and the second information generated by the processor.

The present invention has been made in view of the above problems, and an object of the present invention is to, when an abnormality is detected in an electronic control apparatus that controls a plurality of functions, continue an operation without affecting the other function and secure safety of a control target device corresponding to the function in which the abnormality is detected. In the vehicle mounted electronic control apparatus according to the present invention, each of a first computing portion and a second computing portion outputs an operation check signal, and a driver control unit sets a driver corresponding to the computing portion in which an abnormality is indicated by the operation check signal among the first computing portion and the second computing portion, to a degenerated state.

A method of processing test execution logs to determine error location and source includes creating a set of training examples based on previously processed test execution logs, clustering the training examples into a set of clusters using an unsupervised learning process, and using training examples of each cluster to train a respective supervised learning process to label data where each generated cluster is used as a class/label to identify the type of errors in the test execution log. The labeled data is then processed by supervised learning processes, specifically a classification algorithm. Once the classification model is built it is used to predict the type of the errors in future/unseen test execution logs. In some embodiments, the unsupervised learning process is a density-based spatial clustering of applications with noise clustering application, and the supervised learning processes are random forest deep neural networks.

A data abnormality determination apparatus 1 determines that there is an abnormality in input data and is provided with: a probability density calculator 11 that calculates, as an input density value, a probability density value for the input data in a probability density function constructed based on a data set; an occurrence probability calculator 12 that calculates, as an occurrence probability with respect to the input data, a value corresponding to an integral of the probability density function across a tail region in which the probability density value in the probability density function is equal to or less than the input density value; and an abnormality determiner 13 determines that there is an abnormality in the input data based on the occurrence probability.

A system, method, and computer program product for a block-based backing up a storage device to an object storage service is provided. This includes the generation of a data object that encapsulates a data of a data extent. The data extent covers a block address range of the storage device. The data object is named with a base name that represents a logical block address (LBA) of the data extent. The base name is appended with an identifier that deterministically identifies a recovery point that the data object is associated with. The base name combined with the identifier represents a data object name for the data object. The named data object is then transmitted to the object storage service for backup of the data extent. At an initial backup, the full storage device is copied. In incremental backups afterwards, only those data extents that changed are backed up.

A verification architecture described according to embodiments of the present invention validates changes made to metadata and may comprise one or more subsystems and phases. According to some embodiments, the “mkfs” volume creation utility works in cooperation with the device driver to create a file system volume by means of reservation and initialization space for metadata structures inside the device's partition that is reserved for the specific file system volume. The storage device uses a verified area legend when checking write requests after the file system volume has been created. The verified area legends may be stored in a dedicated partition or inside the master boot record (MBR) or Globally Unique Identifier (GUID) partition table (GPT) or special memory chip (NAND flash, for example). Write requests that overlap with any extent of reserved metadata area must be verified to prevent metadata corruption.

A test path coordination method includes obtaining information of a number of products to be tested, obtaining information of each test device, and planning a test path of each product according to a preset rule according to the information of the products and the information of each test device. The information of the products includes the number of the products, test items of each product, and test devices required for testing the test items. The information of each test device includes whether the test device is currently testing a product and test information of the product currently being tested. The test information of the product includes a length of time the product has been tested and a test result. The test path includes a test sequence of each product and a test sequence of the test items of each product.

A data processing board according to an embodiment of the present disclosure includes a data processing module including at least one data processing board for automatically assigning an identifier according to the voltage value measured in the internal circuit and a communication board for transmitting and receiving signal to/from the data processing board, and a data processing system including the data processing module and a monitor collecting device for selecting and parallel-processing the data received from the data processing module.