Abstract: A video recording system for a head safety device includes a microcontroller and an accelerometer mounted in the head safety device. The accelerometer is coupled to the microcontroller. A plurality of camera modules are mounted on the head safety device and coupled to the microcontroller. The camera modules are positioned facing outward to obtain images at different angles of an environment surrounding the head safety device. The microcontroller receives data from the accelerometer and automatically initiates video recording with the camera modules when movement of the head safety device, as sensed using the accelerometer, reaches or exceeds a selected movement threshold.

Abstract: A computing device implemented method, in one embodiment, can include a cloud transformation module transforming content for a compute platform. Additionally, the method can include a cloud control module receiving the content from the cloud transformation module. The method can also include the cloud control module provisioning a virtual machine appliance to form the compute platform. Furthermore, the method can include a cloud instantiation module executing the provisioning of the cloud control module. In addition, the method can include a cloud appliance module adding middleware to a virtual machine to create the virtual machine appliance. Moreover, the method can include a cloud virtualization module producing a virtualized representation of the compute platform.

Abstract: Embodiments of the claimed subject matter are directed to methods and a system that allows the optimization of processes operating on a multi-platform system (such as a mainframe) by migrating certain processes operating on one platform to another platform in the system. In one embodiment, optimization is performed by evaluating the processes executing in a partition operating under a proprietary operating system, determining a collection of processes from the processes to be migrated, calculating a cost of migration for migrating the collection of processes, prioritizing the collection of processes in an order of migration and incrementally migrating the processes according to the order of migration to another partition in the mainframe executing a lower cost (e.g., open-source) operating system.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for sharing information. The methods, systems, and apparatus include actions of receiving user information entered by a user through a user interface and generating a user profile based at least on the user information. Additional actions include receiving an identification of a particular storage provider location from the user through the user interface, storing the user profile at the particular storage provider location, and receiving privacy settings from the user. Additional actions include receiving a request from the user to access a network resource associated with a particular user information consumer.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for size and effort estimation of software-based projects. The software-based project includes functional requirements and computer-implemented programing language code. The method includes that for each functional requirement, identifying one or more controls flows associated with the functional requirement, each control flow including one or more components; accessing one or more reference tables; determining, for each component of the one or more components, a complexity of the component based on a comparison with the one or more reference tables; and estimating an effort of the software-based project based on the complexity of each component of the one or more control flows associated with the one or more functional requirements.

Abstract: In one implementation, a computer-implemented method includes receiving a request to run a particular process; determining whether the particular process is to be run in isolation on the computer system; selecting a particular permission scheme from among a plurality of permission schemes based, at least in part, on one or more characteristics of the particular process; fetching, according to the particular permission scheme, a copy object that corresponds to an actual object for the particular process, wherein the copy object is instantiated in an isolated environment; running the particular process is isolation on the computer system by executing the copy object in the isolated environment; applying, according to the particular permission scheme, one or more changes to the copy object; and mapping, according to the particular permission scheme, the one or more changes in the copy object to the actual object.

Abstract: A digital analytics system comprises a data management system including data extraction modules and a data storage system. The data extraction modules extract data from data sources and store the data in storage units. An analytics engine system including analytics engines and interfaces to retrieve data relevant to the analytics engines from the storage units. The analytics engines may perform prescriptive or descriptive analytics on the retrieved data. An applications interface and storage stores applications. The applications may be executed using information generated by the prescriptive or descriptive analytics performed by the analytics engines.

Abstract: An analytics platform may obtain anomaly information associated with a roadway anomaly. The anomaly information may be provided by a sensor system including a sensor array. The analytics platform may determine a set of filters associated with identifying the roadway anomaly as being of a particular type. The analytics platform may apply the set of filters to the anomaly information associated with the roadway anomaly. The analytics platform may identify, based on applying the set of filters to the anomaly information, the roadway anomaly as being of the particular type. The analytics platform may provide, based on identifying the roadway anomaly as being of the particular type, information associated with the roadway anomaly.

Abstract: A self-learning system for categorizing log entries may be provided. A text classifier may identify a log description of a log entry in response to text of the log description being associated with indicators of a word model. A datafield classifier may generate a datafield metrics including an accuracy of the categorical identifiers representing the datafield. A metafield classifier may generate a context metrics for the context of the log entry, the context metrics including an accuracy categorical identifiers representing the metafields. A combination classifier may form a weighted classification set and select a categorical identifier as being representative of the datafield based on the weighted classification set. A categorical controller may identify new categories based on an analysis of the context metrics of the log entry.

Abstract: A device may include one or more processors. The device may receive text to be processed to identify input entities included in the text. The device may identify text sections of the text. The device may generate a list of terms included in the text sections of the text. The device may perform one or more feature extraction techniques, on the terms included in the text sections, to identify the input entities included in the text. The device may generate information that identifies the input entities included in the text, based on performing the one or more feature extraction techniques. The device may provide the information that identifies the input entities included in the text.

Abstract: A system, method, and computer-readable medium, is described that finds similarities among programming applications based on semantic anchors found within the source code of such applications. The semantic anchors may be API calls, such as Java's package and class calls of the JDK. Latent Semantic Indexing may be used to process the application and semantic anchor data and automatically develop a similarity matrix that contains numbers representing the similarity of one program to another.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for a cognitive robotics analyzer are disclosed. In one aspect, a method includes the actions of receiving, for each user characteristic of a plurality of user characteristics, first data that identifies one or more first actions that perform a first process and second data that identifies one or more second actions that perform a second process that is labeled as similar to the first process. The actions further include training a predictive model. The actions further include receiving data that identifies actions performed by a user. The actions further include applying the predictive model to one or more of the actions. The actions further include classifying a process performed by the one or more actions as similar to a particular process. The actions further include associating the user with the particular user characteristic.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for implementing a response to one or more security incidents in a computing network. One of the methods includes identifying a security incident based on detecting one or more indicators of compromise associated with the security incident, comparing the security incident with a predefined ontology that maps the security incident to one or more courses of action, selecting a response strategy that includes one or more of the courses of action, and implementing the response strategy as an automated response.

Abstract: A device may obtain first information related to network devices of a network. The device may obtain second information related to the network devices and/or to one or more historic network service incidents. The one or more historic network service incidents may be related to network services provided in association with the network devices. The one or more historic network service incidents may include outages and/or degradations of one or more network services. The device may perform an analysis of the first information and the second information. The device may train a predictive model based on the analysis of the first information and the second information. The predictive model may predict a probability of a future network service incident based on the first information and/or the second information. The device may cause third information, related to the network devices, to be monitored based on the predictive model.

Abstract: A productivity measuring, modeling and illustrating system receives input data pertaining to the productivity of an organization to generate various productivity views using a productivity maturity model. The productivity maturity model is based on suggested actions for increasing the productivity which are received in the input data. The productivity maturity model computes various productivity gains and provides productivity levels for the productivity levers associated with the organization. Various productivity views generated to display the productivity information include a summary view that displays the productivity gains and productivity levels using different filters.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for allocating resources to processes based on security risk. The methods include actions of receiving a request from a process executing on a system for an allocation of resources and identifying other processes executing on the system. Additional actions include determining, for each of the processes, a risk score that reflects a likelihood that the process is a malicious process and determining a resource allocation priority based on the risk scores of each of the processes. Further actions include allocating resources to the processes based on the resource allocation priority.

Abstract: A system maintains, generates, and manages layouts that map resources to control states of a robotic apparatus. The system may receive system control queries and produce search results and contextual information in response. The system may reference the system control queries against the layouts to determine the search results and contextual information. The contextual information may include operator-interactive tools that may be used to control the robotic apparatus. To control the apparatus, the system may generate control state update messages responsive to the operator interactions. The control state update messages may be sent to a control interface of the robotic device. The robotic device may execute an action responsive the receipt of the control state update message.

Abstract: The present disclosure describes making a payment transaction between a customer and a merchant using a payment card of the customer including: transmitting details of the payment transaction from a mobile device to a remote server; capturing at least one image of the payment card using the mobile device of the merchant; transmitting the at least one image of the payment card to the remote server; identifying, by the remote server, the merchant and the payment card captured in the at least one image; and implementing the payment transaction between bank accounts of the customer and the merchant.

Abstract: Systems and methods for distributed control and energy management of one or more communities of energy-consuming units may include aggregation of consumption data from units, and determining per-unit electricity consumption based thereon, including consumption of backup power provided by a community during periods of time of poor quality (brownouts) or blackouts of a utility. A system may calculate and assess to respective units per-unit costs for such backup power. A system may also issue a command or alert to units to carry out one or both of community electricity usage objectives and electricity quotas required by the utility, which may be determined through execution of rules.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for analyzing threat intelligence information. One of the methods includes receiving by a threat information server, threat intelligence information from one or more intelligence feeds and generating one or more identified security threats, identifying a compromise by a management process orchestration server and retrieving information from the threat information server and identifying one or more actions to be performed, determining by an indicator analytics processor, a composite credibility based on the actions, and determining one or more components for profiling and determining indicators of compromise for each component, and communicating the indicators of compromise to the management process orchestration server.