1635 results about "Server appliance" patented technology

A system and method are provided for providing advisory notifications to mobile applications. The method includes interfacing the server device with at least one endpoint within an enterprise system and storing a model trained by a machine learning engine to automatically determine advisory notifications relevant to client data sets stored by the endpoint(s) and / or the at least one endpoint. The method also includes determining a current state of a client account, using the model to determine an advisory notification for the client account based on the current state, referring to a set of rules to determine when to provide the advisory notification in the mobile application, and in what portion of the mobile application to display the notification; and sending the advisory notification via the communications module to a client device to display the advisory notification in the mobile application.

A system and method are provided for providing advisory notifications to mobile applications. The method includes interfacing the server device with at least one endpoint within an enterprise system and storing a model trained by a machine learning engine to automatically determine advisory notifications relevant to client data sets stored by the endpoint(s) and / or the at least one endpoint. The method also includes determining a current state of a client account, using the model to determine an advisory notification for the client account based on the current state, referring to a set of rules to determine when to provide the advisory notification in the mobile application, and in what portion of the mobile application to display the notification; and sending the advisory notification via the communications module to a client device to display the advisory notification in the mobile application.

The invention discloses a dynamic load balancing optimization method for AI intelligent computing system server equipment, which relates to the technical field of load balancing optimization, and comprises the following steps: acquiring equipment performance data, and preprocessing the acquired equipment performance data; based on the preprocessed equipment performance data, extracting equipment state features through time sequence analysis and periodic fluctuation detection; predicting the future load change of the equipment based on the state characteristics of the equipment, dividing the priority of the equipment according to the prediction result, and analyzing the resource demand; generating a resource allocation strategy by applying a resource matching algorithm according to the device priority and the resource demand; and executing the resource allocation strategy, receiving feedback information in real time in the execution process, and optimizing the resource allocation strategy according to the feedback information. According to the method, the response speed and the service quality of the server equipment are remarkably improved, and the resource utilization efficiency is maximized.

Techniques are disclosed for generating a ranked list of content for a user account of a service provider. A server device can determine that a first user account of a service provider is linked with a second user account of the service provider. The server device can then determine whether the first user account has been registered with the service provider a time period less than a threshold time. In response, the server device can determine interaction information associated with the second user account and generate, using a ranking model taking the interaction information as an input, a ranked list of content offered by the service provider. The server device can then cause the user device to present content at a graphical user interface of the user device according to the ranked list of content.

The invention discloses a firmware upgrading method and system, a server, equipment, a medium and a product, relates to the technical field of servers, and does not enter a memory of a management controller so as to wait in at least one network equipment buffer area as long as there is no response of an input instruction. When the incoming instruction is responded, at least one data block with the preset size is intercepted from at least one waiting data packet, verification processing is carried out in the form of the data block, the whole firmware mirror image file does not need to be verified, and the granularity of a verification object is reduced so as to save memory resources of the management controller. The method comprises the following steps of: checking and comparing target data blocks obtained by segmenting a second mirror image file stored in a flash memory, abandoning the data blocks when the checking results are identical, and writing the data blocks into the flash memory when the checking results are different, so that repeated writing in the flash memory is avoided, the storage space occupation of the flash memory is reduced, and the storage efficiency of the flash memory is improved. And the memory space utilization rate of the management controller is improved.

The invention provides a dynamic monitoring method and device for a server room, a medium and a program product, and relates to the technical field of server room monitoring, and the method comprises the steps: obtaining a dynamic monitoring result of the server room under the condition of obtaining historical monitoring information of the server room and cluster performance parameters of a server device cluster; setting a multi-level alarm strategy according to the historical monitoring information and the cluster performance parameters; obtaining internal monitoring information obtained by monitoring the internal environment of the server room in real time by the first monitoring equipment, and obtaining external monitoring information obtained by monitoring the external environment of the server room in real time by the second monitoring equipment; according to the internal monitoring information and the external monitoring information, executing a dynamic adjustment operation on the multi-level alarm strategy to obtain a target alarm strategy; and executing alarm processing operation on the server room according to the target alarm strategy. The technical problem of low monitoring accuracy of the server room in related technologies is solved, and the technical effect of improving the monitoring accuracy of the server room is achieved.

In a control system for vehicles, a pre-processor of a server apparatus accumulates and records travel information received from each of the multiple vehicles in a database. A control information generator determines interference with respect to each vehicle traveling toward a merging section, based on the travel information in the database, generates individual control information, and individually transmits the individual control information. The control information generator further generates information regarding waypoints in the merging section, with respect to each vehicle traveling toward the merging section, and individually transmits the information regarding the waypoints.

Systems, devices, and methods for disaggregating networking components are provided. An example networking chassis includes a first disaggregated server device supported by the networking chassis that includes a first central processing unit (CPU) and a first graphics processing unit (GPU) coupled with the first CPU. The networking chassis further includes a first insertable switch module communicably coupled with the first disaggregated server device that includes first switching chipsets and a first fabric management controller coupled with the first switching chipsets. The first insertable switch module at least partially controls data transmission associated with the first disaggregated server device. The first GPU of the first disaggregated server device is isolated on the first disaggregated server device, supported on the first disaggregated server device in the absence of other GPUs, or is otherwise the only GPU on the first disaggregated server device so as to provide modularity in networking applications.

Systems for and methods of evaluating messaging, comprising, receiving, via at least one server device, one or more messages, and said at least one server device processing at least one of the one or more messages by grading content included in said at least one message, applying a weighting factor to said at least one message according to said grading, thereby determining a weighted message count for said at least one message, aggregating the weighted message count for said at least one message, and initiating an action if the aggregated weighted message count meets or exceeds a predetermined count threshold.

A network device may receive traffic associated with a network, and may generate a system message based on the traffic. The network device may convert the system message into a binary message, and may compress the binary message to generate a compressed binary message. The network device may provide the compressed binary message to a server device, and the server device may process the compressed binary message, with a decoder, to generate the system message.

In aspects of compatible product recommendations, a mobile device implements a product recommendation manager that receives a search input for a consumer product. The product recommendation manager receives a recommendation list of compatible products with the consumer product. The compatible products can be determined based at least in part on a profile associated with the mobile device and product feedback corresponding to returned products. The product recommendation manager can then display the recommendation list of the compatible products on a display device. In implementations, a server device determines the profile associated with the mobile device, and generates the recommendation list of the compatible products with the consumer product.

Techniques are disclosed for validating a cloud region built at a prefab factory. A computing device of the cloud region can receive a network configuration from a manager service. The network configuration can correspond to a network topology of physical resources in the cloud region and can include a first identifier associated with a computing device, a second identifier associated with a neighboring computing device, and information associating the computing device with the neighboring computing device. The computing device can be configured for transmitting to a second data center and can boot into a test mode at the second data center and receive a new identifier from a server device. The computing device can verify the new identifier and send a validation request to the neighboring computing device. The computing device can validate a network connection to the neighboring computing device based on a response to the validation request.

Methods and systems for load balancing requests from clients across server devices are disclosed. The method may include obtaining a request from one of the clients. The method may also include making a determination regarding whether a load signature for the one of the clients is available. When the load signature for the one of the clients is available, one of the server devices may be selected based at least in part on the load signature and the selected one of the server devices may be assigned to service the request from the one of the clients.

Methods and systems for connection management are disclosed. A service entity may provide preferential treatment to a group of devices on a network. To identify itself as being entitled to receive such treatment, a user device may send one or more credentials to a server device associated with the service entity. The credential(s) may be used to determine if the user device belongs to the group of devices. If the user device belongs to the group of devices, the service entity may establish one or more enhanced service flows that the user device can use to communicate with and / or over the network.

Disclosed is a server device including: a communication circuit configured to communicate with a first electronic device and a second electronic device configured to be connected to the first electronic device via a network and to provide a voice guidance function; and a processor configured to perform control to: control the communication circuit to receive state change information of the first electronic device; and controlling the communication circuit to transmit the received state change information and a command for causing the second electronic device to provide a voice guidance function according to a user operation of the first electronic device to the second electronic device, the second electronic device being connected to the first electronic device via a network.

The invention provides a mode selection scheme oriented to edge reasoning energy consumption optimization. Firstly, an equipment independent reasoning mode, an edge server-equipment collaborative reasoning mode and a multi-outlet edge collaborative reasoning mode are defined, and all information required by mode selection is acquired through an edge server equipped with an access point. On the basis, dividing a problem of mode selection for optimal energy consumption of edge reasoning into three sub-problems, and respectively calculating the minimum energy consumption of independent reasoning of equipment, the minimum energy consumption of edge server-equipment collaborative reasoning and the minimum energy consumption of edge collaborative reasoning based on multiple outlets; and energy consumption calculation and decision are completed on the edge server which obtains the information. According to the method, the optimal model segmentation strategy is determined through the enumeration-convex optimization joint algorithm, and dynamic mode selection based on the real-time environment state is achieved. According to the method, the optimal mode can be selected from the edge server under the condition of meeting the requirements of precision, time delay and computing power.

The invention relates to the technical field of server equipment monitoring, and particularly discloses an alarm system for server equipment, which comprises a running state monitoring module, a data analysis module, an alarm triggering module and an intelligent optimization module. According to the system, operation parameters are collected in real time through a heat-sensitive sensor and a flow sensor, the sensitivity of the heat-sensitive sensor is adjusted through an intelligent optimization module according to the alarm triggering frequency change rate, and the data sampling period is adjusted according to alarm event time interval distribution; and dynamically adjusting the alarm priority according to the network flow fluctuation amplitude and the server load instantaneous change rate. The method can reduce false alarms, improve alarm real-time performance and enhance system reliability, and is suitable for a complex server operation environment.

Various examples are related to identifying and monitoring an event of interest at a location, such as a business. In one example, a method includes providing an IP camera network including passive IP enabled video cameras installed at a location. The method includes identifying an event of interest for monitoring by acquiring video stream information from one or more of the passive IP enabled video cameras; transmitting the video stream information to a network video recorder (“GPU server”) device; and processing the video stream information via a visual artificial intelligence engine. The method can generate a start time for the identified event; acquire additional video stream information associated with the identified event; transmit the additional video stream information to the GPU server device; process the additional video stream information via the visual artificial intelligence engine; and generate information associated with the identified event with can be configured for use.

To provide a server apparatus which can provide a travel plan suited to requirements for which a user requires for a travel.SOLUTION: A server apparatus comprises acquisition means and proposal means. The proposal means acquires travel requirements as requirements for a travel from a user requesting a travel plan by a question form. Among plural travel plans prepared in advance, the proposal means selects at least one or more travel plans suited to the acquired travel requirements, and proposes the selected travel plan to the user.SELECTED DRAWING: Figure 1

Systems and methods for converting two-dimensional (2D) static images to three-dimensional (3D) animated images are provided. Such a method includes: receiving, by a server device, one or more 2D static images, each 2D static image of the one or more 2D static images depicting a respective environment; generating a 3D mesh based on a 2D static image of the one or more 2D static images; determining a visual perspective trajectory along the 3D mesh, the visual perspective trajectory indicative of simulated movement within a 3D animated image at least partially along an axis associated with depth in the respective environment depicted by the 2D static image; and generating the 3D animated image based on the 3D mesh and the visual perspective trajectory such that the 3D animated image replicates the simulated movement.

To-be-queried information is received by a server device. The to-be-queried information is transmitted from a terminal device. A multimodal information search is performed by the server device based on the to-be-queried information to obtain multimodal search results. A content digest extraction of a target text in the multimodal search results is performed to obtain one or more content digest fragments. Based on the one or more content digest fragments, a text query result is generated. When a first preset number of search results in the multimodal search results lack a rich media query result, key information extraction on the text query result is performed to obtain key description information. A supplemental rich media query result is acquired according to the key description information. The text query result and the supplemental rich media query result are fused into a target query result that is transmitted to the terminal device.

The invention relates to the technical field of server heat dissipation, in particular to a combined heat dissipation device of a server, which comprises a cabinet body with a mounting space, and a circulating air duct, a first air inlet of the circulating air duct and a first air outlet of the circulating air duct are arranged on one side in the mounting space; the circulating fan is lower than the first air inlet; the supporting layers are arranged in the mounting space in the height direction, each supporting layer is provided with a supporting face, the supporting faces are provided with air passing holes, auxiliary fans are arranged below the supporting layers, radiators are arranged on the upper sides of the auxiliary fans, and electronic refrigeration pieces are arranged on the radiators; and a plurality of first temperature sensors are arranged on each supporting layer. The heat dissipation device has the advantages that a new heat dissipation means is applied to heat dissipation of server equipment, and the defects that traditional server heat dissipation mainly depends on a forced air cooling technology or cold air is forcibly manufactured for cooling by matching the forced air cooling technology with an air conditioning refrigeration technology are overcome.

An artificial intelligence (AI)-based system and method for controlling operations of neuromodulation devices based on physiological parameters of users is disclosed. The AI-based system comprises one or more physiological parameters sensing endpoint devices and one or more server devices. The one or more physiological parameters sensing endpoint devices are configured to determine the one or more physiological parameters of each user. The one or more server devices comprises a data-obtaining subsystem, a data-processing subsystem, an operational parameter generation subsystem, a data recommendation subsystem, and a plurality of modules. The AI-based system is configured to process the obtained at least one of: the one or more physiological parameters and user-centric data to generate one or more user-centric operational parameters for controlling the operations of the one or more neuromodulation devices. The generation of one or more user-centric operational parameters optimizes neuromodulation therapy based on the user's unique physiologic parameters.

The invention provides a scientific research knowledge retrieval method based on RAG and illusion correction, an enhancement system, a storage medium and server equipment, and belongs to the technical field of knowledge retrieval. According to the method, an RAG core module is constructed, and related literatures and knowledge fragments are retrieved from a large-scale scientific research knowledge base through a retrieval engine; generating a natural language answer based on the retrieval information by using a generative model; establishing an illusion correction module, performing authenticity detection on the generated answers by means of a fact checking technology, and correcting illusion contents by means of re-retrieval, generation model input adjustment and the like; and constructing a knowledge updating and optimizing module, regularly updating and optimizing the scientific research knowledge base, introducing the latest scientific research achievements, and optimizing a system model and an algorithm according to user feedback. According to the method, the illusion problem of RAG in scientific research knowledge retrieval is effectively solved, the accuracy and reliability of retrieval results are improved, more credible knowledge retrieval service is provided for scientific research personnel, and development of scientific research work is assisted.

To provide an information processing system, an information processing method, and a program for analyzing a moving image.SOLUTION: In an information processing system 1000, a server device 100 sets a plurality of detection areas in a moving image photographed by a camera 120 installed at a prescribed position, and selects a first detection area and a second detection area from among the plurality of detection areas. It counts the number of objects moved from the first detection area to the second detection area. It displays the number of objects in association with information showing the first detection area and the second detection area in a client device 110.SELECTED DRAWING: Figure 1

Various aspects of the present disclosure generally relate to wireless communication. In some aspects, a server device may receive, during a first time window, information indicating a plurality of client round-trip times (CRTTs) associated with a client device. The server device may compute a plurality of network round-trip times (NRTTs) based at least in part on the plurality of CRTTs, each NRTT in the plurality of NRTTs corresponding to a respective CRTT in the plurality of CRTTs. The server device may compute one or more NRTT metrics for the first time window using the plurality of NRTTs. The server device may selectively adjust a bitrate used for a transmission to the client device based at least in part on a determination of whether the one or more NRTT metrics satisfy one or more NRTT metric thresholds. Numerous other aspects are described.

A processing system is performed by using an edge device and a server device, wherein the edge device includes first processing circuitry configured to extract a feature amount of processing target data by using a first model and execute inference processing on the processing target data on a basis of the extracted feature amount, and output an inference result in a case where reliability of the inference result exceeds a threshold, and output the feature amount of the processing target data to the server device in a case where the reliability is equal to or less than the threshold, and the server device includes second processing circuitry configured to execute inference processing on the processing target data on the basis of the feature amount of the processing target data output from the edge device by using a second model having higher inference accuracy than the first model.

To provide a recruitment support system, method, and program that present combinations of job openings and candidates to a recruiter.SOLUTION: In a recruitment support system 1, a job extraction step executed by a control unit of a server apparatus extracts at least one recommended job opening based on a contract establishment likelihood value calculated from job opening content and first reference information from among job openings registered in a database by a recruiter. The first reference information includes a correlation between job opening content and the contract establishment likelihood value that is a probability of contract establishment for the job opening. A candidate extraction step extracts one or more candidates for the recommended job opening based on a job-seeker matching index calculated from the content of the recommended job opening and second reference information from among job seekers registered in the database. The second reference information includes a correlation between job opening content and the job-seeker matching index indicating a degree of suitability of a job seeker for the job opening. A presentation step associates the recommended job opening and the candidate with each other and presents them to the recruiter.SELECTED DRAWING: Figure 1

A method of a server device is provided. The method of a server device includes retrieving a prediction input and a prediction setting, replacing at least one non-linear activation channel in a neural network with at least one replacement channel based on the received prediction setting, generating a prediction based on the received prediction input based on the neural network with the at least one replacement channel, and outputting the generated prediction.

An example optimizer system for processing extended reality (XR) media data is configured to: determine a first set of XR media data rendering tasks of an XR session to be performed by at least one server device and a second set of XR media data rendering tasks of the XR session to be performed by a first user equipment (UE) device; send a first set of instructions to the at least one server device representative of the first set of XR media data rendering tasks to cause the at least one server device to perform the first set of XR media data rendering tasks of the XR session; and send a second set of instructions to the first UE device representative of the second set of XR media data rendering tasks to cause the first UE device to perform the second set of XR media data rendering tasks.