Abstract: The present disclosure relates to a smart-tag based work processing device and a work processing method, wherein the work processing device comprises a work object processing unit creating a work object that implements a work processing flow through a plurality of heterogeneous work units having a dependency relationship; a work processing flow controller creating a work unit of a first type through the work object and sequentially generating a work unit of a second type through the work unit of the first type; and a smart-tag processing unit identifying attribute information of the work unit of the second type when the corresponding work unit is created, automatically generating a smart-tag based on the attribute information, and combining the smart-tag into the work unit of the first type.

Abstract: The embodiments of the present application provide a data consolidation analysis method and a data consolidation analysis method. The data consolidation analysis system includes: a first acquiring module, which is configured to acquire machine event data; a second acquiring module, which is configured to acquire production event data; a data processing module, which is connected with the first acquiring module and the second acquiring module and configured to acquire a raw process time of each product and a production capacity index of each batch of products; and an analyzing module, which is connected with the data processing module and configured to acquire a first matching relationship between the production capacity index of each batch of products and the raw process time of each product.

Abstract: A clustered application infrastructure troubleshooting system performs a set of queries on a database of infrastructure data to retrieve a set of metrics for each of a plurality of issues. For each issue, the system analyzes a corresponding set of metrics based on detection criteria associated with the issue to detect one or more issues. The system identifies a set of remediation steps for resolving each issue and infrastructure objects affected by each of the one or more detected issues. The system performs queries on the database of infrastructure data to retrieve a set of data associated with the affected infrastructure objects. The system generates a GUI with advisories corresponding to the detected issues. Responsive to the user selecting an advisory, the system causes the GUI to present the remediation steps and the set of data associated with the one or more affected infrastructure objects corresponding to the selected advisory.

Abstract: A network-based work assignment platform is provided. Employers and workers are registered on the platform. A registered employer posts a temporary job on the platform. The platform matches a registered worker to the temporary job. The platform facilitates, coordinates, and monitors performance of the temporary job by the registered worker and processes payment to the registered worker for performance of the temporary job on behalf of the registered employer.

Abstract: An auto-login system and process enable maintaining user accounts on a server without a user having to register or create a user name, password, or other authentication method. An account may be created without user knowledge. The server may transmit a content item to a target user, along with a link. A server identifies the target user from use of the auto-login link and collects interaction or “engagement” data while the user is logged in, to assess user interest in products, for example, a mutual fund investment product, which may be characterized by tags and/or categories. The system may quantify a product salience metric for a given product relative to a target user's interest profile to focus marketing efforts and support engagement with interested target users, especially securities funds and financial advisors.

Abstract: A system for detects and manages recurring transactions incurred by members of a client organization. The system includes a computing server that is configured to classify named entities into a category of transacting named entities. For example, the computing server classifies a list of named entities that offer subscription services and hence, create recurring transactions with the client organization. The computing server receives transaction data and determines that a target transacting named entity extracted from the received data belongs to the category (e.g., there is a named entity in the received transaction data that has sold a service to the client organization more than once). The computing server may then determine the presence and frequency of a subscription transaction series in the received transaction data, and cause a predicted a timing of an upcoming transaction in the subscription transaction series to be displayed in a graphical user interface (GUI).

Abstract: A system is described herein that facilitates the easy scheduling and conducting of prison visitations. The system provides a remotely-accessible means for visitors to authenticate themselves, check the availability of those they wish to visit, and schedule a visit with that individual. As part of this process, the system tracks the availability of prison inmates as well as the devices and visit sites that are available to those inmates. In this manner, the system can quickly identify the availability of different inmates in order to provide on-demand scheduling capabilities to potential visitors. The system is connected to multiple facilities as well as public networks, and therefore can be remotely accessed. Additionally, the system also functions to monitor visits while they are in progress, as well as to store visit recordings for future review. Because the system is networked, remote monitors can access the review system in order to monitor visits or review recordings.

Abstract: An example method includes obtaining data associated with a plurality of process workflows, performing an automated workflow analysis of the data at least by (i) evaluating workflow structures to identify at least one similarity between one or more portions of the process workflows, wherein the workflow structures are modeled from the process workflow data and, (ii) responsive to evaluating the workflow structures, clustering, based on the at least one similarity, the portions of the process workflows into at least one common process group that is shared between the process workflows, identifying, based on the at least one common process group shared between the process workflows, at least one process improvement that is associated with at least one of the process workflows, and outputting, by the computing system, a recommendation associated with the at least one process improvement.

Abstract: A system and method are disclosed for determining long-range staff planning. Embodiments include determining a baseline measurement of labor needs over a time period of one or more employees at one or more entities and modifying the baseline measurement of the labor needs over the time period based on one or more constraints that allow the one or more employees to work additional types of labor needs at the one or more entities. Embodiments further include determining working times and job assignments of the one or more employees based on one or more simulated employees that represent potential employees to the modified baseline measurement of the labor needs over the time period and storing the determined working times and job assignments in the database for the one or more employees at the one or more entities.

Abstract: Described are systems and methods to parameterize assets to improve predictions related to allocation of assets in a virtual synthesis, tracking allocated assets, or historical review of asset allocation and/or virtual synthesis. Techniques described in this paper facilitate measurement of effectiveness of a synthesis instance, such as a meeting, that includes assets by considering factors such as utilization cost, in both time and money, for historical review or prediction of workflow.

Abstract: Techniques are described for cognitive defined network management (CDNM) that seek to perform real-time collection and analysis of raw network data from across a disaggregated wireless network and to dynamically orchestrate network management functions substantially in real time, accordingly. For example, a multi-modal artificial intelligence (AI) engine is trained to normalize the heterogeneous raw network data into homogeneous so-called “golden record data.” A repository of historical golden records can be maintained for generating data models for use in training AI network management applications. An orchestrator can operate to directing execution of pre-developed network management workflows based on results obtained from querying the trained AI network management applications with newly received (real-time) golden records.

Abstract: In a standby position determination method, work frequency information including a plurality of work frequencies that a worker works at each of a plurality of production facilities is calculated. On the other hand, floor arrangement information including facility layouts of the plurality of production facilities is acquired. The standby position where the worker waits for the work in the floor is determined based on the work frequency information and the floor arrangement information.

Abstract: An intellectual quality management method is disclosed. A heatmap risk interface is created according to the required data and the parameter configuration which are calculated using a time dependent risk priority number (RPN) equation. An intellectual audit scheduling algorithm is defined via the heatmap risk interface to automatically generate at least one audit plan. An audit program corresponding to the audit plan is performed and a plurality of problem points are selected. Intellectual root cause category recommendation is performed to the questions points. intellectual corrective actions and preventive action recommendations are performed to the problem points according to the intellectual root cause category recommendation to obtain at least one optimum corrective action and at least one preventive action.

Abstract: A system for managing resources and scheduling is disclosed. The system includes a client computer, software executable by the client computer for providing a user interface, a server in data communication with the client computer, a database for storing data in a hierarchical data structure, and a data fusion engine executing on the server. The hierarchical data structure includes a parent node and child nodes linked to the parent node. The data fusion engine is configured to log a workflow to at least one of the child nodes based on user input received via the user interface. A related method and software is also disclosed.

Abstract: A work support apparatus, which assigns an operator to an operation performed in a workplace, includes a communication device used for the operation in the workplace, and holds information on a relationship between a process, an operation, and each of divided areas of the workplace and the communication device used for the operation, information on a predicted communication throughput by the communication device in each of the divided areas, and information on an operator-requested communication throughput for a combination of the operation and an operator. For each operation corresponding to the process, the apparatus determines assignment of an operator to the operation, referring to the predicted communication throughput by the communication device and the operator-requested communication throughput, and outputs a result of the operator assignment.

Abstract: Disclosed herein is a system and method for public housing evaluation including a computer-implemented public housing evaluation unit that receives survey data from a remotely connected survey device. The survey data comprises information about the physical environment of one or more public housing residents that is used to create a digital public housing environment profile for each survey participant. A plurality of digital public housing environment profiles may be statistically analyzed to create a public housing index identifying interrelationships among physical environment and demographic data in the digital public housing environment profiles. Public housing authority computers may access and view the public housing index to determine whether actions may be taken that may improve a public housing resident's physical environment and/or likelihood that they may successfully transition out of public housing.

Abstract: A work assist device includes a work burden degree evaluation unit, an improvement measures storage, a simulation unit, and an improvement measures determination unit. The work burden degree evaluation unit evaluates a work burden degree indicating a degree of burden imposed on an operator due to work from operator information and production facility information. The operator information is information related to the operator performing the work in cooperation with a production facility. The improvement measures storage stores improvement measures for improving the work burden degree. The simulation unit performs simulation of estimating an estimated improvement effect indicating a degree of improvement of the work burden degree when the improvement measures are applied. The improvement measures determination unit determines application improvement measures to be applied to at least one of the operator and the production facility from the improvement measures, based on the estimated improvement effect.

Abstract: To identify the sweet spot for criteria attributes (i.e., variables) within a complex system, a data source having objectively acceptable values or ranges of values for the criteria attributes for each variant of the system is generated. The identification system used to analyze the complex system to identify the sweet spot receives measurement values from a testing system that measures values of the criteria attributes from variants of the complex system and provides the measurement values to the identification system. The criteria attributes may be prioritized for determination of the sweet spot, including a selection of a value or range of values that are to be used for the most highly prioritized criteria attribute. The prioritized criteria attributes and objectively acceptable values can be used to filter the measurement values to identify the sweet spot for the variants of the complex system.

Abstract: An automated maintenance schedule generation method includes: receiving planning data for designing a modular plant comprising physical modules as received planning data; selecting digital modules, correlating to respective physical modules, from a database, depending on the received planning data as respective correlating physical modules, the digital modules including maintenance information of the respective correlating physical modules; associating the selected digital modules depending on the received planning data; determining an expected maintenance need including an expected maintenance issue and/or an expected maintenance issue date for the selected physical modules depending on the received maintenance information as a determined maintenance need; and generating a maintenance schedule for the modular plant depending on the determined maintenance need.

Abstract: Systems and methods for text-to-speech audio processing and audio transduction include compiling a digital data collection program to be distributed to computing device(s), the compiling including receiving data collection information that includes textual data of query(s) to be included in the digital data collection program and implementing text-to-speech data processing of the textual data that generates audio data of the query(s). The compiled digital data collection program that includes the generated audio data is distributed to the computing device(s) for execution thereby facilitating displaying, via a user interface of a user device, the query(s) and facilitating providing, via the electroacoustic transducer, an audio output of the audio data corresponding to the displayed query(s). Response data input by a user of the user device and received in response to the query(s) is collected and aggregated with additional response data collected from other user(s) of the computing device(s).