30 results about "Mobile collaboration" patented technology

A communication system is provided that uses loosely-coupled client-server architectures to improve the efficiency of communications. The communication system includes client and facilitator applications. The client application is a component of processor-based mobile communication devices. The facilitator application is hosted on one or more servers or other processor-based devices, and communicates with the client application via one or more couplings. The facilitator application can also be distributed among one or more portable processor-based devices including the communication devices hosting the client application. The communication system improves efficiency of voice communications by allowing communication device users to dynamically manage how and when mobile calls take place, intelligently screen calls based on caller identity, urgency, and subject matter, determine which contacts in a directory are available to talk and which ones choose not to be disturbed, and increase accessibility of enterprise and personal contact information from mobile phones.

The disclosed solution provides a tailored user experience available through a Web portal that addresses the multiple-view, multiple-data needs of operations, supervisory, policy making, and executive personnel of an organization. These various roles can all be concerned with measurement/assessment of an organization's compliance with performance targets, for which real-time, near real-time or other metrics are gathered. The metrics can be presented in a role tailored fashion to the portal users in near real-time along with federation of analysis and trend calculation output. Business logic can be applied to the federated data and near real-time metrics to automatically effectuate actions and/or to suggest responses when received metrics exceed previously established boundaries. Collaboration tools and Web 2.0 information sharing technologies can be integrated in the portal to facilitate rapid coordinated responses and to share information across the organization.

A mobile computer system hosts mobile application and a collaboration module. The collaboration module is adapted to enable the mobile application to communicate with a further mobile application, hosted on a further mobile computer system, and to access functionality of an enterprise application, hosted on an enterprise system.

The invention relates to the technical field of mobile communications and provides a method for selecting a safe relay for multiple targets in a mobile collaborative network. In the method provided by the invention, a channel fading threshold as well as and the various states and the state transition probability of candidate relay nodes are determined through periodically transmitting a training sequence and feedback information; when the fading speed of some channel is greater than the threshold, dynamic relay selection is carried out, or else, semi-static relay selection is carried out; and during the process of relay selection, the optimal safe relay is selected to collaborate data transmission according to the total compensation determined by a plurality of target values, such as system safety capacity, and the like. With the adoption of the method provided by the invention, the characteristics of wireless channels in the mobile collaborative network can be accurately and timely described, and the dynamic selection of the optimal safe relay for the multiple targets is realized through lower complexity, so that the method has strong flexibility and expandability; and the transmission efficiency is further increased through carrying out different relay selections according to channel states.

Improved methods, systems, and software for facilitating online collaboration and distribution of geospatial data are provided. Geospatial data available over a network can be updated in real-time and provided to one or more clients. User-accessible views of the geospatial data can be dynamically built by the clients and presented to users of the clients. Various methods of online collaboration between users of the clients can also be supported. The geospatial data can be provided in an XML format, thereby providing for efficient communication of data over the network. In various embodiments, the geospatial data can be an annotation prepared by a user of a second client, thereby allowing the user of the second client to collaborate with a user of the first client. Functionality can also be provided for converting geospatial data between flat and spherical formats.

Generally discussed herein are systems, apparatuses, and software for mobile collaborative workforce scheduling. An apparatus can include at least one processor and a storage device, a work schedule saved to the storage device, a communications module operable to communicate the work schedule to a plurality of mobile devices and receive a request to change the work schedule from the mobile devices, and a user interface module to execute on the processor and to provide authorized personnel access to operations performed by the at least one processor, the operations including approving and denying the request to change the work schedule.

A system and method are presented for discovering mobile collaborators on a peer-to-peer (P2P) network. Each collaborator is identified on the P2P network by a unique ID. Each collaborator may also be identified by an identity file posted on the P2P network. Collaboration applications may include any of a variety of applications involving the exchange of information between 2 or more collaborators, such as voice over IP (VoIP). Dynamic file querying can be performed to filter the identity files most relevant to a particular peer partner. Web services are used end-to-end between P2P mobile devices and also between devices and third party service providers. Search engines use self-provisioning concepts for searches and WEB services querying. End-user devices register their personal information on P2P networks using identity self-provisioning and WEB services templates for a variety of uses, such as personal, gaming or business

Systems and methods provide engineering process and document management to a mobile fleet of users. A server computer and a relational database form at least part of a process and document management system. The server computer processes information from the relational database to predictably identify workflow information and engineering document information that may be needed by one or more users in the field to service field assets. The server computer may push the identified information to one or more mobile devices of the one or more users in the field via one or more communication networks. The mobile devices allow users to mark-up engineering documents in the field and provide the modified documents back to the server computer.

The present invention discloses an online collaboration system and method for translating network resources. The online collaboration system comprises a server, a plurality of first-type client terminals and a plurality of second-type client terminals, wherein the server is in remote connection with the first-type client terminals and the second-type client terminals for data interaction. The online collaboration system is capable of recording content translated by second-type users and simultaneously obtaining feedback data of first-type users so as to rank priority of translated texts. The online collaboration method is capable of supporting simultaneous translation of multiple second-type users, widening the translation range and ranking the translated content according to the feedback data of the first-type users so as to improve the translation accuracy.

The invention discloses a cache auxiliary task cooperative unloading and resource allocation method based on meta reinforcement learning. Comprising the following steps: establishing a cache-assisted task collaborative unloading and resource allocation model in a mobile collaborative application scene; acquiring a cache state of the request task; obtaining a learning model; and solving an unloading decision so as to reduce the energy consumption and time delay of the mobile user in the calculation unloading process under the mobile cooperation application program scene. According to the invention, the user preference, the tradeoff of energy consumption and time delay and the influence of the cache state of the task on the unloading decision are comprehensively considered, and a cache auxiliary strategy is provided. The task cache hit rate is improved while the network overhead is balanced, and the cache state of the task is determined according to the task cache hit rate; and finally, an online calculation unloading strategy is provided based on meta reinforcement learning, and the problem that the sampling efficiency of a traditional deep reinforcement learning algorithm on new tasks is low is solved. Experimental results prove that compared with other algorithms, the time delay and energy consumption of the mobile user can be effectively reduced, and the user experience quality is improved.

The invention discloses a mobile communication system intelligent prediction method based on an improved convolutional neural network, and the method comprises the steps: building a mobile cooperativecommunication system model, and selecting a 2-Nakagami communication channel; for a transmitting antenna selection scheme, deriving a closed expression of the OP performance of the communication system; selecting a CNN model, removing a pooling layer in the model, taking channel parameters influencing the OP performance of a communication system as input of the model, carrying out training through a training sample to obtain the mobile communication system intelligent prediction model based on the improved convolutional neural network. Compared with an existing algorithm, the prediction method provided by the invention is better in performance, and the feasibility and effectiveness of the method are verified.

The invention discloses an integrated mobile collaborative robot control system based on a field bus, and relates to the technical field of robot control. The system comprises a task decomposition unit for decomposing tasks corresponding to a robot, a task monitoring unit for obtaining the quantity of remaining tasks of the robot, a comprehensive analysis unit for analyzing the pre-completion degree Dj of the robot, and a task distribution unit for redistributing the remaining tasks according to the pre-completion degree Dj. According to the system, task delay caused by insufficient electric quantity is avoided by pre-estimating the completion condition of each robot for distributed tasks, reasonable scheduling is performed in combination with the conditions of the tasks and the robots, the tasks are re-distributed in time, it is ensured that each task is completed smoothly, and the robot is prevented from being insufficient in power, each task and the corresponding power consumption form a power consumption table, and the power consumption table is updated in real time to form data reference of each task and the corresponding power consumption, so that a reference basis is provided for distribution of subsequent tasks, the tasks are reasonably distributed, and the task completion efficiency is improved.

The invention discloses a method for predicting the outage probability performance of a mobile cooperative communication system. Based on the multi-transmit and multi-receive and hybrid decoding, amplification and forwarding cooperative communication technologies, a mobile cooperative communication system model is established, an optimal mobile relay node is selected, and a mobile information source is selected. When the signal-to-noise ratio of the link to the optimal mobile relay node is greater than the signal-to-noise ratio threshold, the decoding and forwarding strategy is used to forward the mobile source signal to the destination, and when it is smaller than the signal-to-noise ratio, the amplification and forwarding strategy is used to forward the signal to the destination. A transmission antenna selection scheme, respectively deduces the closed expressions of the outage probability of its mobile cooperative communication system, and uses neural networks to intelligently predict the outage probability performance of the physical layer of mobile communication, which is consistent with the existing extreme learning machine, local weighted linear The methods of regression, support vector machine, generalized regression neural network and radial basis function neural network are compared, and better performance prediction effect of outage probability is achieved.

The present disclosure relates to optimizing collaborative activities between computing devices (e.g., desktop computers, laptop computers, smart TV's, tablets, mobile devices), and more particularly to systems, methods, and computer products for inputting data or commands on a computing device, and for moving, sharing, and controlling files between computing devices through the use of a pointing device with a corresponding pointer that can be shared between “N” computing devices.