According to one embodiment, a semiconductor integrated circuit includes: a logic circuit including a first scan chain configured to operate based on a first clock signal and a second scan chain configured to operate based on a second clock signal in a built-in self-test; a pattern generator configured to generate a test pattern and transmit the test pattern to the first and second scan chains; a compression circuit configured to compress first data received from the first and second scan chains; a clock select circuit configured to select one of the first and second clock signals and transmit the one of the first and second clock signals to the corresponding one of the first and second scan chains in the test; and a test control circuit configured to control the test and detect a fault in the logic circuit based on a result of the test.

Within a layout of a first surface in a flip chip configuration, a bump restriction area is mapped according to a set of bump placement restrictions, wherein a first bump placement restriction specifies an allowed distance range between a bump and a qubit chip element in a layout of the first surface in the flip chip configuration. An electrically conductive material is deposited outside the bump restriction area, to form the bump, wherein the bump comprises an electrically conductive structure that electrically couples a signal from the first surface and is positioned according to the set of bump placement restrictions.

A computer-based method is disclosed for creating and/or editing a feature control frame (FCF) for geometric dimensioning & tolerancing (GD&T) of a model in a computer-aided design (CAD) program. The method includes displaying, in a graphics area of the CAD program, a cell of a FCF for a geometric feature of the model, displaying a context menu adjacent to the cell of the FCF, wherein the context menu comprises a first plurality of user-selectable input options associated with GD&T information for the geometric feature, receiving a user selection of one of the first plurality of user-selectable input options, and subsequently presenting a second plurality of user-selectable input options associated with GD&T information for the geometric feature. The options included in the second plurality of user-selectable input options depend, at least in part, on which of the first plurality of user-selectable input options the user selected.

A method for auto-generating an AutoCAD drawing includes providing an interface for extracting only input data required for drawing equipment from strength calculation data, displaying all components and nozzles constituting the equipment and providing or correcting information thereon. The AutoCAD drawing is automatically generated based on information on all components constituting the equipment and nozzles.

A system can receive selection of endpoints for a spool on a graphical user interface (“GUI”) and attempt to assemble a spool based on the endpoints. To do so, a plugin can execute a route-finding process that traverses routes from the endpoints. The routes can be determined by retrieving connectors from the endpoints and, for each connector, determining what parts are connected. For each connected part, the process can repeat so long as the connected part is not one of the endpoints or already in another route or spool. When the routes are complete, the connected parts can be treated as an assembly of the spool. The GUI can generate a spool sheet that uses the assembly as the spool.

A device may receive input data identifying a technical architecture diagram, a design document, an interface specification document, and technical architecture icons, and may process the input data identifying the technical architecture diagram, with a model, to determine hierarchical objects from the technical architecture diagram. The device may perform OCR and NLP of the hierarchical objects to determine blocks of data, and may compare the blocks of data and the input data identifying the design document to identify functionalities of applications. The device may compare the blocks of data and the input data identifying the interface specification document to identify attributes, and may compare the blocks of data and the input data identifying the technical architecture icons to identify icons. The device may consolidate the blocks of data, the functionalities, the attributes, and the icons into a final document, and may perform actions based on the final document.

The present disclosure is directed to a software tool that engages in a pattern matching technique. In one implementation, the software tool retrieves a two-dimensional drawing and identifies walls as lines, rotates the drawing until a threshold number of lines are aligned with either the X or Y axes, discards lines that are not aligned with either the X or Y axis, identifies intersection points, identifies a subset of intersection points that have a maxima or minima coordinate, constructs a data library indicative of the relative positions of the points in the identified subset; and compares the constructed data libraries for the two-dimensional drawing to data libraries constructed for another two-dimensional drawing.

A contaminant-risk analysis device generates a CAD model of a defined space based on received parameters, simulates a contaminant spread model relative to the CAD model, generates a contaminant risk assessment for the defined space based on the contaminant spread model being applied to the CAD model, and generates a revised CAD model of the defined space based on the generated contaminant risk assessment.

A system that creates a net list from a circuit diagram or a document showing a circuit structure is provided. The system is an AI system including a first electronic device. The first electronic device includes an input/output interface, a control portion, and a first conversion portion. The input/output interface is electrically connected to the control portion, and the first conversion portion is electrically connected to the control portion. The input/output interface has a function of transmitting input data generated by a user's operation to the control portion, and the control portion has a function of transmitting the input data to the first conversion portion. Note that the input data is a circuit diagram illustrating a circuit structure or a document file showing the circuit structure. The first conversion portion includes a circuit where a neural network is formed, and the input data is converted to a net list with the use of the neural network of the first conversion portion.

A component library having a plurality of design components is received. Designs are predicted using the plurality of components using a machine learning model. The predicted designs comprise a subset of all possible designs using the plurality of components. A set of design criteria is received. At least one design solution is generated based on the set of design criteria and the predicted designs.