Abstract: A system for root cause analysis based on process optimization data is provided. The system receives log data associated with a first trace between a first activity and a second activity of a process. The system further determines a state of inefficiency between the first activity and the second activity based on the received log data. The system further applies a first machine learning (ML) model on the received log data. The system further determines a first label and a first value to be associated with the first trace of the process based on the application of the first ML model. The system further generates presentation data associated with the determined state of inefficiency of the first trace based on the determination of the first label and the first value and further transmits the generated presentation data on a user device.

Abstract: A method for performing time-synchronization between a master clock of a master unit and a plurality of slave clocks of a corresponding plurality of slave units includes sending a forward time-synchronization message indicative of the master clock from the master unit to the plurality of slave units, in order to enable the plurality of slave units to time-synchronize their respective slave clocks with the master clock. The method also includes receiving a reverse time-synchronization message indicative of the respective slave clock from each of the plurality of slave units at a first validator. The method also includes time-synchronizing a plurality of validator clocks of the first validator to the corresponding plurality of slave clocks using the reverse time-synchronization messages from the plurality of slave units, and validating the time-synchronization between the plurality of slave clocks at the first validator based on the plurality of validator clocks.

Abstract: A communication method for a communication network of a vehicle includes a master data processing unit and a slave data processing unit connected to the master data processing unit via a synchronous serial communication interface. The slave data processing unit is connected to the master data processing unit via a slave select line for indicating that data is being sent from the master data processing unit to the slave data processing unit. The data sent from the master data processing unit to the slave data processing unit and/or from the slave data processing unit to the master data processing unit is framed by a start bit as a first bit and a stop bit as a last bit of the sent data.

Abstract: Provided is a method for time distribution in a communication network of a vehicle. The method includes: sending, from a grandmaster to a first slave, a first time stamp taken from a grandmaster clock; generating, at the first slave, a first time tuple including the first time stamp and a second time stamp taken from a first slave clock at the time of receiving the first time stamp; sending, from the first slave to a second slave a third time stamp taken from the first slave clock, a fourth time stamp calculated based on the third time stamp and the first time tuple using a predefined calculation method, and the first time tuple; calculating, at the second slave, a fifth time stamp based on the third time stamp and the first time tuple; and comparing, at the second slave, the fifth time stamp to the fourth time stamp.

Abstract: Provided is a method for monitoring a time distribution via a network switch to be used in a communication network of an automated vehicle. The method includes receiving, a first synchronized time, at a first port of the network switch, receiving, a second synchronized time, at a second port of the network switch, comparing the received first synchronized time to the received second synchronized time, and output a control signal if a result of the comparing is that a difference between the received first synchronized time and the received second synchronized time exceeds a predefined threshold.

Abstract: A system for root cause analysis based on process optimization data is provided. The system receives log data associated with a first trace between a first activity and a second activity of a process. The system further determines a state of inefficiency between the first activity and the second activity based on the received log data. The system further applies a first machine learning (ML) model on the received log data. The system further determines a first label and a first value to be associated with the first trace of the process based on the application of the first ML model. The system further generates presentation data associated with the determined state of inefficiency of the first trace based on the determination of the first label and the first value and further transmits the generated presentation data on a user device.

Abstract: A method includes sending, from the master controller to the slave controller, a follow up message in response to a pull of a predefined pin, wherein the follow up message includes a global time of the master controller when the predefined pin was pulled; sending, from the slave controller to the master controller, a validation message in response to the received follow up message, wherein the validation message includes a global time of the slave controller when the pull of the predefined pin is detected by the slave controller; and validating the time synchronization by checking, at the master controller and/or the slave controller, if a difference between the global time of the master controller when the predefined pin was pulled and the global time of the slave controller when the pull of the predefined pin is detected by the slave controller is smaller than a predefined first threshold.

Abstract: Methods, systems, and apparatuses are provided for sequence monitoring of multiple threads being executed at least partly in parallel on an electronic control unit of an automated vehicle. A first timestamp generated at a first predefined time during execution of a first thread to be monitored is provided to a first monitoring thread of the multiple threads. A second timestamp generated at a second predefined time during execution of a second thread to be monitored is provided to the first monitoring thread. The first monitoring thread checks whether the first timestamp is provided before the second timestamp.

Abstract: Exemplary system and method embodiments described and shown herein are directed to optimizing warehouse picking operations. Exemplary system and method embodiments employ order allocation optimization and/or order grouping optimization that are individually or collectively usable to allocate and group warehouse orders in a manner that minimizes picker travel and maximizes labor productivity.

Abstract: Systems, methods, and apparatuses are provided for checking an integrity of data stored in an electronic control unit of a vehicle. A first hash value is determined based on the stored data using a hash function at the electronic control unit triggered by a request of a boot loader of the electronic control unit. A second hash value is determined based on the stored data using the hash function at the electronic control unit triggered by a request of an external computing device connected to the electronic control unit. The integrity of the stored data is checked by comparing the determined first hash value to the determined second hash value.

Abstract: Described herein are exemplary systems and methods for the optimization of shipping cartons relative to the contents of orders to be placed therein. An exemplary carton optimization method evaluates a sample size of orders received at a given location and then determines an optimal carton set that includes at least one feasible carton for each order, while also minimizing shipping costs based on dimensional weighing-based pricing by reducing the dimensional weight, thereby minimizing void space and increasing the carton space utilization percentage. An exemplary carton optimization method may be further customized to optimize a carton set for an order, based on the cartons already available at a given warehouse or other site. As a result, cartons are utilized and designed more efficiently at the site.

Abstract: Exemplary system and method embodiments described and shown herein are directed to optimizing warehouse picking operations. Exemplary system and method embodiments employ order allocation optimization and/or order grouping optimization that are individually or collectively usable to allocate and group warehouse orders in a manner that minimizes picker travel and maximizes labor productivity.

Abstract: An embodiment may involve a server-side log collected by a server device, where the server-side log includes a set of entries indicating a unique identifier, and wherein the unique identifier is assigned to a work item of a server-based application executed by the server device. The embodiment may further involve one or more processors configured to: receive, from a client device disposed upon a network, a client-side log, wherein the client-side log includes operational data related to usage of a client-based application executed by the client device; identify, from the operational data, the client-based application and one or more activities performed by the client-based application; determine that the one or more activities are related to the unique identifier; based on the one or more activities, determine an action that can be taken to improve efficacy of the server-based application; and write, to the persistent storage, a representation of the action.

Abstract: Provided is a method for monitoring a time schedule of a first thread running on a control unit of an automated vehicle. The method includes a step of providing, to a second thread, a first timestamp corresponding to a starting time of the first thread, and a step of providing, to the second thread, a second timestamp corresponding to an end time of the first thread. The method further includes a step of computing, by use of the second thread, a difference between the first timestamp and the second timestamp, and a step of comparing, by use of the second thread, the computed difference to a predefined threshold for monitoring the time schedule of the first thread.

Abstract: Provided is a method for validating synchronized local times of at least a first control unit and a second control unit of a vehicle, wherein the method includes receiving, at each one of the at least two control units, a synchronization message including a master time; synchronizing, at each one of the at least two control units, a local time of the respective one of the at least two control units to the received master time; communicating the synchronized local time from the first control unit to the second control unit; and comparing, at the second control unit, the communicated local time of the first control unit to the synchronized local time of the second control unit for validating the synchronized local times of the at least two control units.

Abstract: A system for root cause analysis based on process optimization data is provided. The system receives log data associated with a first trace between a first activity and a second activity of a process. The system further determines a state of inefficiency between the first activity and the second activity based on the received log data. The system further applies a first machine learning (ML) model on the received log data. The system further determines a first label and a first value to be associated with the first trace of the process based on the application of the first ML model. The system further generates presentation data associated with the determined state of inefficiency of the first trace based on the determination of the first label and the first value and further transmits the generated presentation data on a user device.

Abstract: An embodiment may involve obtaining a log regarding execution of a software application; obtaining indications of availabilities of resources related to the software application; determining, from the log and the indications of availabilities of the resources, a time series of software application activities; and training a prediction engine with the time series of software application activities, wherein the prediction engine as trained is configured to receive an input time series of further software application activities and generate an output time series that predicts additional software application activities.

Abstract: A method for validating time synchronization in a communication network of an automated vehicle includes sending a time synchronization message from a master clock to two control units of a first communication network, respectively, wherein the time synchronization message includes a master time; synchronizing a local time of the two control units of the first communication network to the received master time, respectively; sending the synchronized local times of the two control units of the first communication network to a central validator of the first communication network, respectively; comparing, at the central validator of the first communication network, the received synchronized local times of the two control units of the first communication network to each other; and, if a difference between the received synchronized local times is larger than a predefined first threshold, outputting an error message from the central validator of the first communication network to the automated vehicle.

Abstract: Described herein are exemplary systems and methods for the optimization of shipping cartons relative to the contents of orders to be placed therein. An exemplary carton optimization method evaluates a sample size of orders received at a given location and then determines an optimal carton set that includes at least one feasible carton for each order, while also minimizing shipping costs based on dimensional weighing-based pricing by reducing the dimensional weight, thereby minimizing void space and increasing the carton space utilization percentage. An exemplary carton optimization method may be further customized to optimize a carton set for an order, based on the cartons already available at a given warehouse or other site. As a result, cartons are utilized and designed more efficiently at the site.

Abstract: A driver monitoring system includes a first control unit, a second control unit, and a camera system. The camera system is configured to acquire image data of a driver and to output information corresponding to the image data to the first and second control units. The first control unit is configured to define a predetermined driver state based on the information received from the camera system and to output the defined driver state to the second control unit. The second control unit is configured to subject the information received from the camera system to a first plausibility check, to subject the driver state received from the first control unit to a second plausibility check, and to output a control signal to an actuator system and/or an information output device based on a result of the first and second plausibility checks and the driver state.