Abstract: A method for managing a data protection module (DPM) includes: obtaining metadata associated with the DPM; analyzing the metadata to extract relevant data; making, based on the relevant data, a first determination that a resource-related change has occurred in the DPM; making, based on the first determination, a second determination that the resource-related change is an increased resource-related change; sending, based on the second determination, the relevant data to a vendor environment (VE) analyzer; in response to sending the relevant data, receiving a recommendation from the VE analyzer; sending the recommendation to a user of a client about the recommendation using a graphical user interface (GUI) of the client; making, after sending the recommendation to the user, a third determination that the DPM is not reconfigured by the user based on the recommendation; and resending, based on the third determination, the recommendation to the user using the GUI.

Abstract: A method for managing a data protection module (DPM) includes: obtaining an alert generated by the DPM within a predetermined period of time; obtaining metadata associated with the DPM; analyzing the metadata to extract relevant data; analyzing the alert to extract second relevant data; making, based on the second relevant data, a determination that a tolerance level associated with the alert has been exceeded; sending, based on the determination, the alert, the relevant data, and the second relevant data to a vendor environment (VE) analyzer; in response to sending the alert, the relevant data, and the second relevant data, receiving a service request (SR) generated by the VE analyzer for the DPM; and providing the SR to the client to notify a user of the client about the SR using a graphical user interface (GUI) of the client.

Abstract: The disclosed system and method provide an artificial intelligence (AI) model trained using clustering and reinforcement learning. Data in a dataset can be loaded for de-identification, along with data scope answers. The data can be audited, and once audited, the audited data and the data scope answers can be provided to a strategy recommendation engine including the trained AI model. The engine can determine a cluster corresponding to the dataset and assesses strategies for data de-identification based on the determined cluster. The strategies can be ranked and provided as output, providing the ability to better de-identify the dataset by indicating which techniques will be the most effective. Additionally, the system and method can automatically implement a top-ranked strategy satisfying certain criteria as a determined optimal approach for data de-identification. Clustering and reinforcement learning may efficiently and automatically glean information from unlabeled data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for securely certifying products in an ecosystem. In some implementations, a digital platform receives a user request to access digital models. The digital platform determines whether the user is authorized to access the digital models. In response, the digital platform generates a transaction request to send to a location of the digital models, wherein the transaction request comprises data identifying operations to perform using the digital models. The digital platform transmits, to the location of the digital models, the generated transaction request that causes execution of the operations. The digital platform receives data representative of a result of the operations performed. The digital platform provides, to a user interface of the user device, the data representative of the result. The digital platform audits the data related to the transaction request and the data representative of the result.

Abstract: Data protection for container storage, including: assigning, to a container storage volume of a storage system, a volume-level access policy; and determining whether to allow access to the container storage volume based on the volume-level access policy and one or more attributes of a request for the access, including allowing the access responsive to the one or more attributes meeting the volume-level access policy or denying the access responsive to the one or more attributes failing to meet the volume-level access policy.

Abstract: A topic of a message in narrative text form is extracted from the message. The message and the topic are stored in a message repository. The message is produced from the message repository responsive to a search by an authorized user for messages relating to the topic.

Abstract: 1. Implementations of the present disclosure include receiving, by a database system, a query from an entity, providing a parse tree based on the query, the parse tree including nodes representative of operations to be executed and data objects stored within the database system, generating a module tree based on the parse tree, the module tree including a set of modules provided in sequential order from a root module to a leaf module, and executing an authorization check using the module tree by, for each module, determining a set of data objects and, for each data object in the set of data objects, determining whether the entity is one or more of authorized access the data object and perform an operation on the data object.

Abstract: Systems and methods are provided for privacy-preserving image feature matching in computer vision applications, including receiving a raw image descriptor, and perturbing the raw image descriptor using a subset selection mechanism to generate a perturbed descriptor set that includes the raw image descriptor and additional descriptors. Each descriptor in the perturbed descriptor set is replaced with its nearest neighbor in a predefined descriptor database to reduce the output domain size of the subset selection mechanism. Local differential privacy (LDP) protocols are employed to further perturb the descriptor set, ensuring formal privacy guarantees, and the perturbed descriptor set is matched against a second set of descriptors for image feature matching.

Abstract: Embodiments of the present disclosure may provide a data clean room allowing encryption based data analysis across multiple accounts of different database users. The data clean room may also restrict which data may be used in the analysis and may restrict the output. A requesting user's data can be encrypted using a key and a provider user can generate a shareable database function that accepts the key to decrypt the data to generate the results data without exposing each others' data.

Abstract: Methods, systems, and storage media for obfuscating an exact location of a user include collecting precise location data at a user device; determining, via a software application on the user device, a first circle that contains the precise location of the user; selecting a random point on or in the circle; determine a second circle having the random point as the center of the circle; increasing a size of the second circle; and utilizing, via the software application, the second circle as an approximate location of the user.

Abstract: A computer implemented method includes obtaining a list of information storage resources that contain electronic files and forming multiple clusters of the information storage resources from the list of information storage resources. A subset of the information storage resources is selected from the clusters. Each subset the information storage resources is scanned for a selected type of content. The selected information storage resources are flagged as containing the selected type of content as a function of the scanning finding the selected type of content.

Abstract: Systems and methods are provided herein for providing privacy while allowing interactions with virtual representations of sensitive objects. This may be accomplished by an extended reality (XR) system receiving information associated with a real-world environment of a user. The XR system may transmit the received information to one or more devices (e.g., server, XR device, etc.) for processing. Before transmitting the received information, the XR system can use the received information to identify and categorize objects in the real-world environment to identify sensitive objects. To protect the privacy of the sensitive objects, the XR system transforms features of the sensitive objects using one or more transform keys prior to transmitting the information to the one or more devices. The XR system may also update the transform keys after a first time period to further protect the privacy of the sensitive objects.

Abstract: Systems and methods are provided herein for providing privacy while allowing interactions with virtual representations of sensitive objects. This may be accomplished by an extended reality (XR) system receiving information associated with a real-world environment of a user. The XR system may transmit the received information to one or more devices (e.g., server, XR device, etc.) for processing. Before transmitting the received information, the XR system can use the received information to identify and categorize objects in the real-world environment to identify sensitive objects. To protect the privacy of the sensitive objects, the XR system transforms features of the sensitive objects using one or more transform keys prior to transmitting the information to the one or more devices. The XR system may also update the transform keys after a first time period to further protect the privacy of the sensitive objects.

Abstract: A computing device, a computer program product, and a computer-implemented method for delivering enhanced financial services and, more particularly, for facilitating enhanced communication between a user and a financial institution via a client device. A digital financial management platform for the client device includes a chat support platform that facilitates a redaction of sensitive, proprietary, and/or protected information of the user during a virtual chat communication session.

Abstract: A system to coordinate the receipt of data provided by applicant parties access of data received from each party to users to process applications from multiple applicant parties, comprising: a first user interface which is a) controllable by a first user to define a form to be stored and accessed by online parties to receive data from said parties, to display data received from each party and store data on the storage module, and c) receive input from the permissions module to update applicant parties' status: an applicant party interface to display to said parties the form generated, receive form data entered by each party, and receive confidential data from each party and store on the applicant data storage module: a second user interface to provide access to the confidential information of each applicant party to permit access to the data dependent on the status of said each applicant party.

Abstract: The cloud data platform receives a first query directed towards a shared dataset, the first query identifying a first operation. The platform accesses a first set of data from the shared dataset to perform the first operation, the first set of data including data accessed from a first table of the shared dataset. The cloud data platform determines that an aggregation constraint policy is attached to the first table, the aggregation constraint policy restricts output of data values stored in the first table and enforces the aggregation constraint policy on the first query based on a context of the first query. The cloud data platform generates an output to the first query based on the first set of data and the first operation, based on enforcing the aggregation constraint policy on the first query.

Abstract: Systems, methods, and devices are disclosed for cognitive collaboration systems on a hybrid node. A query is received by a virtual assistant running on a public cloud, and it is determined whether the query pertains to data available on a public cloud resource, or the query pertains to data available on a private cloud resource. When it is determined that the query pertains to the data available on the public cloud resource, the query is interpreted by using a first model trained on at least one machine learning technique on data from the public cloud. When it is determined that the query pertains to the data available on the private cloud resource, the query is interpreted by using a second model trained on at least one machine learning technique on the data from the private cloud.

Abstract: Methods and apparatus to collect distributed user information for media impressions and search terms are disclosed. An example method includes accessing, from a media device, a first identifier and a search term at a first server, the first identifier corresponding to at least one of the media device or a user of the media device, the search term associated with a search request, generating a second identifier based on the first identifier, sending the second identifier and the search term from the first server to a data collection server to facilitate the data collection server to logging the search request, and receiving user information associated with the search request from a database proprietor based on the second identifier.

Abstract: Systems, computer program products, and methods are described herein for secure information transfer in a virtual environment. The present disclosure is configured to receive, using a first user input device, real-time communication from a first user during a virtual interaction session with a second user in the virtual environment; determine that at least a portion of the real-time communication comprises sensitive information; initiate a temporary sub-session within the virtual interaction session in response to determining that the real-time communication comprises sensitive information, thereby temporarily pausing the virtual interaction session; record the sensitive information within the temporary sub-session; terminate the temporary sub-session in response to recording the sensitive information; and resume the virtual interaction session to continue receiving the real-time communication.

Abstract: A method, an Android device, and a non-transitory computer readable medium for providing exclusive access to Android storage. The method includes: creating, on an Android device, an application domain for a desired application; creating, on the Android device, a Security-Enhanced Linux (SELinux) label for Media Storage on the Android device; and giving, on the Android device, permission only to the desired application to access external storage on the Android device with the SELinux label.

Abstract: Systems and methods for language-agnostic unit testing are generally described. In various examples, first data including first source code written in a first programming language may be received. Configuration data configured to execute language-agnostic unit testing may be loaded. Input data may be determined from the first data based on a first input defined by the configuration data for a first unit test. A first driver written in the first programming language may be determined from the configuration data. The first driver may include computer-executable instructions configured to execute the first unit test. First output data may be generated by executing the first computer-executable instructions to perform the first unit test on the first input data.

Abstract: A method and device of the present disclosure can prove the originality of a creative design in a communication system by proving the causal relationship between the creation process of the creative design and the creation result using the hash codes related to images in creation stages of the creative design. The method and device combine hash codes for intermediate images in the creation process of a creative design and a hash code for a final image using an operation function to generate one piece of final hash information and then transmit a non-fungible token (NFT) including the final hash information and final image information to a blockchain so that the design creator can claim the connection between the intermediate images in the creation process of the creative design and the final image at the time of disclosing the design on the blockchain network.

Abstract: Embodiments of systems and methods to determine all of the Functions that are associated with a multi-Function Peripheral Component Interconnect/Compute Express Link (PCIe/CXL) Field Replaceable Unit (FRU) for use in SPDM authentication of a PCIe/CXL FRU are disclosed. According to one embodiment, a multi-Function PCIe/CXL FRU includes multiple Functions that each are represented by a unique Device/Function path. A PCIe/CXL FRU includes computer-executable program instructions that cause it to receive a request from a Security Protocol and Data Model (SPDM) requester to obtain information about a plurality of Functions associated with the PCIe/CXL FRU, and respond to the request by sending a list of Device/Function paths to the SPDM requester. Each Device/Function path indicates the Function and the path to the Function associated with the PCIe/CXL FRU.

Abstract: According to embodiments of the present disclosure, systems and methods to manage Security Protocol and Data Model (SPDM) secure communication sessions are provided. According to one embodiment, an Information Handling System (IHS) includes a Security Protocol and Data Model (SPDM)-enabled device conforming to a SPDM specification in which the SPDM-enabled device has a specified quantity of supported private communication sessions. The IHS also includes computer-executable instructions to, when an application requests use of one of the private communication sessions, determine whether one of the private communication sessions is available, and enable the application to communicate with the SPDM-enabled device through the one private communication session based on the determination.

Abstract: The present disclosure relates to the field of computer technologies, in particular to a method, an apparatus, and a system for monitoring an I2C, and a storage medium. The method includes: obtaining a first command from a BMC; recognizing a level of the first command according to a pre-stored command level list, where the level includes a first level, a second level, and a third level, a security level of the third level is higher than a security level of the second level, and the security level of the second level is higher than a security level of the first level; and sending the first command to a device in different modes according to the level of the first command.

Abstract: An electronic device for obtaining common supercell information according to an embodiment of the inventive concept stores first and second lattice matrices, indicative of surface structures of two different materials in a real plane, and a conversion table. The processor retrieves these matrices, obtains complex lattice matrices for both surfaces in a complex plane, and determines a lattice constant ratio from them. Using this ratio, the processor refers to the conversion table to obtain phase information and a conversion matrix. Finally, it calculates common supercell information for both materials based on the lattice constant ratio, phase information, and conversion matrix, and outputs it via the user interface device.

Abstract: Methods and systems are provided for automating well completion selection and design using machine learning and natural language processing.

Abstract: An integral reinforcement design method of an external frame-brace based on a random capability spectrum is provided, and the reinforcement design method includes: evaluating an original structure before reinforcement by using a random capability spectrum method; performing a reinforcement analysis on an external frame-brace sub structure by using the random capability spectrum method to obtain a reinforced structure; and performing a reinforcement verification on the reinforced structure by using the random capability spectrum method. A performance based integral reinforcement design of the external frame-brace sub structure is achieved through considering uncertain factors, as well as capability spectrums and demand spectrums before and after the reinforcement, and converting the integral structure to equivalent single degree of freedom to obtain performance points.

Abstract: A computer-implemented method and system for the criteria-based creation of a scenarios library having virtual vehicle environments, for testing highly automated driving functions of a motor vehicle. Using predetermined criteria, a first scenario data set is determined representing a driving situation of interest and comprised by the sensor data. The first scenario data set, representing the driving situation of interest, is compared with second scenario data sets included in the scenarios library. A computer-implemented method for validating a model quality of a simulation model for performing a highly automated driving function of a motor vehicle is also provided.

Abstract: Embodiments of the disclosure provide systems and methods for implementing enhanced access control of an enclosed surrounding. Access control to an enclosed surrounding is implemented using digital twin simulation, real-time monitoring and identifying physical stability parameters of the enclosed surrounding. The system evaluates multiple physical stability parameters of an enclosed surrounding, based on a digital twin simulation, to identify a degree of stability or safety inside the enclosed surrounding. The system identifies types of protection needed, and assigns an appropriate security rule for entering the enclosed surrounding. The system can receive a user input of testing parameters for a proposed action within the enclosed surrounding and evaluate the received testing parameters, based on the digital twin simulation, to trigger alerts and provide a plan for the user to safely perform the proposed action.

Abstract: Example implementations include a method, apparatus and computer-readable medium for event monitoring at a cloud service, comprising receiving, from a control panel coupled with a plurality of control sensors within a supervised premises, a plurality of event messages corresponding to events detected by the plurality of control sensors within the supervised premises. The implementations further include generating a status simulation for the control panel based on the plurality of event messages, the status simulation representing a current status of the control panel. Additionally, the implementations further include creating a subscription of a client service to the control panel based on a request from the client service. Additionally, the implementations further include transmitting, to the client service based on the subscription, status information for the control panel derived from the status simulation.

Abstract: According one embodiment, a data generation apparatus includes processing circuitry. The processing circuitry is configured to obtain an operation instruction based on a user operation on an image diagnostic apparatus or an image diagnostic apparatus simulator. The processing circuitry is configured to convert the operation instruction into an internal instruction relating to hardware control of the image diagnostic apparatus or the image diagnostic apparatus simulator from which the operation instruction has been obtained. The processing circuitry is configured to generate simulation data by executing a physical simulation using the internal instruction.

Abstract: A computer-implemented method for the simulation of an energy-filtered ion implantation (EFII), including: Determining at least one part of an energy filter; determining a simulation area in a substrate; Defining an ion tunnel for receiving ions directed from an ion beam source; implementing the determined at least one part of the energy filter, the ion beam source, the determined simulation area in the substrate, and the defined ion tunnel in a simulation environment; determining a minimum distance between the implemented at least one part of the energy filter and the implemented substrate for enabling a desired degree of lateral homogenization of the energy distribution in a doping depth profile of the implemented substrate; and defining a total simulation volume.

Abstract: Disclosed is a method for constructing a security region of an integrated electricity and heating system, falling into the field of energy system modeling and operational analysis. The method specifically includes: establishing a dynamic model of the integrated electricity and heating system, including a power system model, a quality-regulated heating system dynamic model, and a combined heat and power unit dynamic model; constructing, in combination with operational security constraints, a security region model of the integrated electricity and heating system considering thermal dynamics; and solving, aiming at nonlinear and nonconvex characteristics of the security region of the integrated electricity and heating system, a security region boundary by an optimization-check-based concave hull method. Compared with the related art, the method considers thermal dynamics in the integrated electricity and heating system, and accurately depicts operational features.

Abstract: A fabric simulation device and method are provided. The device captures a physical deformation parameters corresponding to a fabric. A fabric specification information includes a fabric category data, a fabric combination data and a fabric weight data. The device generates target-encoding data by conducting a target-encoding algorithm on the fabric category data. The device generates a language processing vector by conducting a natural language processing algorithm on the fabric combination data. The device generates a category vector and a normalized physical deformation parameter by normalize the target-encoding data and the physical deformation parameter, and generate a weight vector by normalize the fabric weight data. The device generate a feature vector by concatenating the category vector, the language processing vector, and the weight vector. The device updates the neural network model according to the feature vector and the normalized physical deformation parameters.

Abstract: A process for evaluating changing an overall textile processing facility to be more sustainable that includes the steps of: defining a virtual wash plant having virtual pieces of equipment and virtual wash inputs; defining a baseline recipe for the production of a textile using the virtual wash plant; defining an alternate recipe for the production of the textile that is different than the baseline recipe using the virtual wash plant; determining a set of processing sustainability related cost and input usage differences between the baseline recipe and the alternate recipe; and changing the textile processing facility used recipe at the textile processing facility to correspond to the alternate recipe if the alternate recipe is determined to be more environmentally sustainable, more financially sustainable, or both more environmentally sustainable and financially sustainable than the baseline recipe.

Abstract: The present disclosure relates to an optimization method of outlier data identification in a traffic emission quota allocation process. This method includes: constructing a traffic emission quota allocation model; calculating a unit output-input value for each input of each vehicle in a reference set D; identifying outlier vehicles by using a combination of isolation forest model-generalized super efficiency model; and removing final outlier vehicles from the reference set D to obtain a reference set D? with the final outlier vehicles being removed.

Abstract: A computer-implemented method and apparatus for generating a soft body file for storing information for simulating a three-dimensional object to be projected on the two-dimensional plane, the three-dimensional object having an at least one soft body surface and a grid-based topology, the soft body file comprising an at least one array of vertices of the at least one soft body surface, a grid dimension of grid-based topology, and an grid points occupancy array of the grid-based topology for the array of vertices of the at least one soft body surface.

Abstract: An example computing system is configured to (i) receive a request to generate a cross-sectional view of a three-dimensional drawing file, where the cross-sectional view is based on a location of a cross-section line within the three-dimensional drawing file and includes an intersection of two meshes within the three-dimensional drawing file; (ii) generate the cross-sectional view of the three-dimensional drawing file; (iii) add, to the generated cross-sectional view, dimensioning information involving at least one of the two meshes; (iv) generate one or more controls for adjusting a location of the cross-section line within the three-dimensional drawing file; and (v) based on an input indicating a selection of the one or more controls, adjust the location of the cross-section line within the three-dimensional drawing file, update the cross-sectional view based on the adjusted location of the cross-section line, and update the dimensioning information to correspond to the updated cross-sectional view.

Abstract: The present invention discloses a smoothed particle hydrodynamics (SPH)-based hyperelastic simulation method and apparatus. According to the invention, an SPH-based hyperelastic simulation apparatus includes a processor; and a memory connected to the processor, wherein the memory stores program instructions executed by the processor to define states of each of m particles in a discrete time as a set of positions and velocities, for an SPH-based deformable body composed of m particles, approximate hyperelastic energy of each of the m particles using a rest-pose volume, a material parameter, a vectorized deformation gradient, and a projection of the vectorized deformation gradient in order to optimize an objective function for solving new states of each of the m particles, search for an initial approximation of a Hessian matrix using the approximated hyperelastic energy, and simulate the SPH-based deformable body based on the searched initial approximation.

Abstract: A method and a processing device are provided for predicting standpipe pressure. A Bayesian linear regressor is initialized. Priors for the Bayesian linear regressor are initialized based on previous drilling operations that used a same bottom hole assembly. Measurement data associated with drilling a well is received in real time. An online Bayesian linear regressor update is generated using QR decomposition for a model. Responsive to determining that at least some coefficients violate physical rules, the at least some of the coefficients are set to a respective default value that is either zero or a positive value. Coefficients and uncertainty are updated based on at least one of the online Bayesian linear regressor update and the setting of at least some of the coefficients. The model is then visualized. Visualization helps a user identify whether the learned model makes sense.

Abstract: An unsupervised machine-learning model is trained using historical operation characteristics of a well. Operation characteristics of the well for a duration of time is reconstructed by the unsupervised machine-learning model. Whether a sanding event will occur in the future at the well is predicted based on the difference between the operation characteristics of the well and the reconstructed operation characteristics of the well.

Abstract: A method includes generating a first sample including first raw parameter values of a first modifiable parameters by a probabilistic model and a kernel and executing a first test of a virtual driver of an autonomous system according to the first sample to generate a first evaluation result of multiple evaluation results. The method further includes updating the probabilistic model according to the first evaluation result and training the kernel using the first evaluation result. The method additionally includes generating a second sample including second raw parameter values of the parameters by the probabilistic model and the kernel and executing a second test of a virtual driver of an autonomous system according to the second sample to generate a second evaluation result of the evaluation results. The method further includes presenting the evaluation results.

Abstract: Methods, apparatus, systems, and articles of manufacture to predict outputs of electronic design automation (EDA) tools using machine learning are disclosed. An example apparatus includes memory; machine readable instructions; and programmable circuitry to at least one of instantiate or execute the machine readable instructions to: access circuit design data to be optimized by an EDA tool as part of a circuit design process for an integrated circuit; extract features from the circuit design data; apply a machine learning model to the features to estimate an output of the EDA tool, the estimated output determined without execution of the EDA tool; and provide results of the estimated output.

Abstract: A preliminary netlist comprising the photonic devices and location and rotation information for each of the photonic devices is extracted from the original layout design. In the extraction, each of the photonic devices is treated as a black box. A geometric pattern for the each of the photonic devices is then identified in a group of geometric patterns for each of the photonic devices based on physical properties of the each of the photonic devices specified in the circuit design. A new layout design is generated based on the identified geometric pattern for each of the photonic devices, the location and rotation information for each of the photonic devices, and the preliminary netlist. Geometric elements in each of the photonic devices in the new layout design are compared with corresponding geometric elements in the original layout design.

Abstract: Disclosed are techniques for simulation of a circuit design using a set of primary signals captured by a hardware emulation system. In preparation for simulation, the circuit design is divided into partitions that are substantially uniform in size. Sequential dependencies are then identified based on signals that cross partitions. The set of primary signals includes signals that, when provided as input to the simulation, break the sequential dependencies such that each partition can be simulated independently. Techniques for determining which signals to include in the set of primary signals are also disclosed. The hardware emulation system is configured to capture values of the primary signals as part of emulating the circuit design. Afterwards, the simulation is performed using the captured values. During the simulation, non-primary signals are reconstructed using values obtained from simulating each partition independently.

Abstract: A computer system is disclosed for processing industrial Boolean satisfiability (SAT) problems. A computer implemented SAT image encoder is configured to encode a runtime industrial SAT problem into a pixelated problem image comprising a plurality of rows, wherein the runtime industrial SAT problem comprises a plurality of clauses and each row of the pixelated problem image represents a corresponding one of the clauses. A computer implemented clause embedding module is configured to encode each row of the pixelated problem image into a corresponding vector, and a computer implemented vector encoder is configured to encode the vectors into an output indicating whether the runtime industrial SAT problem is satisfiable or unsatisfiable.

Abstract: Embodiments provide for dynamically refining hardware assertion checkers of an integrated circuit (IC) design. An example method includes receiving a plurality of hardware assertion checkers and receiving one or more design constraints. The example method further includes, based at least in part on applying a cost prediction model to the plurality of hardware assertion checkers, generating a predicted overhead cost associated with the plurality of hardware assertion checkers. The example method further includes, based at least in part on the predicted overhead cost and the one or more design constraints, selecting an optimal hardware assertion checker set. The example method further includes synthesizing the optimal hardware assertion checker set.

Abstract: A system includes an integrated circuit device configured to implement a circuit design. The integrated circuit device includes a communication interface configured to receive the circuit design in a configuration bitstream and instrumentation logic in the configuration bitstream and signal collector block configured to collect signal data based on the instrumentation logic during implementation of the circuit design.

Abstract: An IC structure includes first and second complementary field-effect transistors (CFETs) positioned in a semiconductor wafer, each of the first and second CFETs including a gate structure extending in a first direction, an n-type channel extending through the gate structure in a second direction perpendicular to the first direction, and a p-type channel extending through the gate structure in the second direction and aligned with the n-type channel in a third direction perpendicular to each of the first and second directions. A metal line extends in the first direction, is aligned with each of the first and second CFETs in the third direction, and is configured to distribute a power supply or reference voltage to each of the first and second CFETs. The metal line is a metal line closest to each of the first and second CFETs along the third direction and extending in the first direction.