There are disclosed various methods, apparatuses and computer program products for a testing apparatus. In accordance with an embodiment the testing apparatus includes a frame; a gripping head for gripping a device to be tested; a first movement element for moving the gripping head with respect to the frame; a movement detector to detect at least one of a location and a position of the device; a touching element for touching the device; an imaging device for capturing images of the device; a display for generating visual information for capturing by the device; a set of sensors for examining operations of the device; a set of actuators for providing signals for reception by the device; and a set of plugs adapted to be inserted into a socket of the device.

A computer system may include multiple sensor circuits that monitor operation parameters of a computer system circuit in the computer system. A control circuit may use monitor signals generated by the sensor circuits to determine probabilities that the operation parameters are within corresponding ranges. The control circuit can use the determined probabilities to generate a combined probability, which can be compared to a threshold value. The operation of the computer system circuit can be adjusted by the control circuit using results of the comparison between the combined probability and the threshold value.

The present disclosure involves systems, software, and computer implemented methods for providing user interface (UI)-based modifications to adjust and interact with data exchange splits. An example client device can include can identify a data exchange (DE) associated with at least three entities, the DE associated with a total value. A visualization representing the DE can be presented via a UI and can include a chart comprising the total value of the DE exchange divided into value areas that are each associated with a particular entity. In response to a detection of input associated with a selection of an edge between a first and second value area, the combined value area associated with the first and second value areas can be locked. In response to detected movement input associated with the edge, the relative values of the first and second inside the combined value area can be adjusted in the visualization.

A virtualized storage for use in performing dynamic analysis on a sample is configured, at least in part by copying the sample to the virtualized storage. A virtual machine emulator is launched using a snapshot of a virtualized platform. The virtualized platform is previously configured to use the virtualized storage, and the snapshot is configured to use a placeholder file to occupy space for later use when installing the sample. A location of the copied sample in an image corresponding to the virtualized storage is determined. The copied sample is installed and dynamic analysis is performed on the sample.

The disclosed technology teaches keeping up with the deployment of APIs, so that Secure Access Service Edge (SASE) protection is afforded, parsing an OpenAPI specification for an API family, for identifying overall attributes of the API family. The technology includes parsing an OpenAPI specification to extract usable attributes of API resources, which are useful for building a connector, including extracting attributes of core activities that trigger protective actions, and applying a connection creator that performs actions including accessing a template for creating connector rules and using the extracted attributes with the template to produce the connector rules, thereby automating generation of connectors. Using the connector rules for the SASE protection is also taught.

A controller controls an operation of a semiconductor memory device including a plurality of memory blocks. The controller includes a command generator, a sudden power off (SPO) sensor, an SPO information storage, and a block scan controller. The command generator generates a command for controlling the semiconductor memory device. The SPO sensor generates an SPO sensing signal by sensing occurrence of SPO. The SPO information storage stores SPO block information indicating a memory block that is a target of a current operation (target memory block) in response to the SPO sensing signal. The block scan controller controls the command generator to perform a scan operation on the plurality of memory blocks, except for the target memory block, in response to the SPO block information.

An example embodiment involves persistent storage defining a first configuration item representing an application deployed within a network, a second configuration item representing a software program that is deployable within the network, and a relationship between the first configuration item and the second configuration item. One or more processors may be configured to: (i) receive an indication that a change has been applied to the application or has been arranged to be applied to the application; (ii) identify the relationship between the first configuration item and the second configuration item; (iii) based on the relationship between the first configuration item and the second configuration item, determine that the change can affect operation of the software program; and (iv) in response to determining that the change can affect operation of the software program, provide a notification of the change to an agent associated with the software program.

A method, apparatus and system for anomaly detection in a processor based system includes training a deep learning sequence prediction model using observed baseline behavioral sequences of at least one processor behavior of the processor based system, predicting baseline behavioral sequences from the observed baseline behavioral sequences using the sequence prediction model, determining a baseline reconstruction error distribution profile using the baseline behavioral sequences and the predicted baseline behavioral sequences, predicting test behavioral sequences from observed, test behavioral sequences using the sequence prediction model, determining a testing reconstruction error distribution profile using the observed test behavioral sequences and the predicted test behavioral sequences, and comparing the baseline reconstruction error distribution profile to the testing reconstruction error distribution profile to determine if an anomaly exists in a processor behavior of the processor based system.

A system includes one or more processors in communication with a memory and configured to receive a task to probe a portion of the memory associated with a version of a binary file during execution of the binary file. The task includes a portion of object code and a hash identifier, both associated with the version of the binary file. A database mapping hash identifiers to debug information associated with installed binary files is accessed. Debug information for the version of the binary file associated with the hash identifier is retrieved. A probing application is built using the debug information and the portion of object code. Upon execution of the version of the binary file, the probing application places the object code into the portion of the memory.

Dialysis systems comprising actuators that cooperate to perform dialysis functions and sensors that cooperate to monitor dialysis functions are disclosed. According to one aspect, such a hemodialysis system comprises a user interface model layer, a therapy layer, below the user interface model layer, and a machine layer below the therapy layer. The user interface model layer is configured to manage the state of a graphical user interface and receive inputs from a graphical user interface. The therapy layer is configured to run state machines that generate therapy commands based at least in part on the inputs from the graphical user interface. The machine layer is configured to provide commands for the actuators based on the therapy commands.