51 results about "End to end system" patented technology

An end to end system and method for cloud based delivery of content and floating display of the content on a mobile device is presented. The system and method presented are suitable to delivery of any type of mobile content but are particularly adapted for delivery and distribution of mobile advertising, coupons and other promotional material. The mobile device is arranged to receive content from a content server via the cloud and display the content in a real time, non-intrusive floating bubble over the mobile devices currently active screen layer on the devices graphical display. The floating bubbles are simulated through the acquisition of a screen shot of a currently active mobile app, overlaying a bubble over the screen shot, and then presenting the composite image in a series of frames to simulate motion of the bubble ad over the previously top layer screen. As the bubble is presented on the screen, the mobile device reacts to the user's touch such that if the user touches a floating bubble a variety of choices may be presented, including full screen display of the bubble advertisement or content, sharing the content with friends through social networking or email, or calling or contacting the advertiser. If the user touches elsewhere the mobile device reverts to the previously active app. The system is further arranged to provide that the delivered content be targeted to users through a variety of features including user selection of content they wish to receive, user location, time of day, weather, past interest history and/or a combination of those criteria.

A method of identifying at least one resource in a distributed computing system which is a potential root cause of performance degradation of the system includes the steps of: computing operational bounds for the system and operational bounds for at least one resource in the system; comparing current end-to-end system performance with the operational bounds for the system; when the current end-to-end system performance is outside of the operational bounds for the system, comparing current performance of the at least one resource in the system with the operational bounds for the at least one resource; and generating at least one output identifying the at least one resource in the system which is a potential root cause of performance degradation of the system.

Clinical trials are defined, managed and evaluated according to an overall end-to-end system. The central authority creates protocol meta-models and makes them available to clinical trial protocol designers. Each meta-model includes a short list of preliminary patient eligibility attributes which are appropriate for a particular disease category. The protocol designer chooses the appropriate meta-model, and encodes the clinical trial protocol, including eligibility and patient workflow, within the selected meta-model. The resulting protocol database is stored together with databases of other protocols in a library of protocol databases. Sponsors and individual clinical sites have controlled access to the protocols. Study sites make reference to the pertinent protocol databases to which they have access in the protocol database library in order to perform patient eligibility screening. Once a patient is enrolled into a study, the protocol database indicates to the clinician what tasks are to be performed at each patient visit. These tasks can include both patient management tasks and data management tasks. The workflow graph advantageously also instructs the proper time for the clinician to obtain a patient's informed consent. The system reports patient progress to study sponsors, who can then monitor the progress of the trial, and to a central authority which can then generate performance metrics. Advantageously, a common controlled medical terminology database is used by all components of the system.

An end-to-end system/process for producing advantageous end products from a raw biomass feedstock is provided. The process includes steps for enhancing biomaterial feedstock, biochar generation and end-product fabrication. The method steps may be employed in selecting, treating and handling biomass materials and their additive inputs to tailor their end performance. Each operative step in the process may be employed to enhance the overall effectiveness of biochar generation and use. Charring furnace design and operational parameters are provided that generate desirable biochar material for various applications, including specifically fabrication of ultra-capacitor electrodes and electric battery components.

A system and method for enabling storage area network (SAN) component migration are provided. An end-to-end systems management console, referred to as the hardware migration assistant, is provided to simplify the migration steps for a SAN administrator to replace key SAN components. The hardware migration assistant provides a single interface suitable for stepping the SAN administrator through the reconfiguring task faster and with fewer sources of error than the known distributed manual process. The hardware migration assistant of the illustrative embodiments provides an interface through which a user may specify a type of SAN component that is being replaced and identifies the particular SAN components that are being replaced. The hardware migration assistant provides a knowledge base for guiding the user through the replacement operation and the reconfiguring of the SAN components, including the new SAN components, based on the previous configuration of the replaced components.

A computer-implemented system processes secure electronic documents from one or more content providers in accordance with subscriber instructions has a processor and modules operative within the processor. A monitoring module obtains a provider GUID, a subscriber GUID, and a transaction ID from public metadata associated with a transaction received from a particular content provider. A determination module determines any designees of the subscriber and contact information one or more of the subscriber and any designees. A transaction module distributes a transaction addressed to at least one of the subscriber and any designees. Each distributed transaction includes data that is used for management, tracking, and alerting. Also described is a station for constructing transactions for distribution to subscribers through such a system. An end-to-end system and method are described.

The invention disclosed relates to the end to end system, the methods and apparatuses for delivering real time HD video and audio content using a secure chain of custody method over the ubiquitous cellular network and providing a solution for the lone worker in hazardous environments.

The invention disclosed relates to a head mounted portable wireless display device which is part of the end to end system, the methods and apparatuses for delivering message content from publishers to recipients, such recipients being comprised of subscribers and non subscribers, based on the geospatial location of the recipients using a plurality of devices, stationary and mobile, to deliver geospatial location relevant message content to the recipients with dynamic display devices and a means to provide publishers with data and statistics related to recipient observation of message content.

The invention relates to an image semantic segmentation method based on a local area conditional random field model. A full convolution neural network structure of the invention extracts input picturefeatures and obtains a rough segmentation result. The region selection structure filters the edge of the segmentation result map, and selects the segmentation result as the largest circumscribed rectangle of the pedestrian, bicycle and motor vehicle parts. The local region conditional random field model establishes the conditional random field model in the rectangular region and refines the segmentation result of the rectangular region. The invention effectively combines the advantages of the precision of the conditional random field model with the advantages of the speed of the full convolution neural network. The computational method of the conditional random field model is optimized so that the time complexity of the model is greatly reduced. The segmentation accuracy of the traditional full convolution neural network is improved. The application of probability graph model and full convolution neural network is designed as an end-to-end system.

The invention provides a method for improving end-to-end wireless transmission control protocol (TCP) linear network coding. Particularly, the method comprises the following steps of: (1) optimizing a network coding head frame design on a network coding layer, so that required parameters of coding and decoding are comprehensively considered, the length of a network coding head is shortened, and the complexity of the network coding head is reduced; (2) according to the condition of wireless network packet loss, designing reasonable sliding windows and coding windows, and optimizing so that the sizes of the sliding windows and the coding windows are equal; (3) determining piggyback information content to be network coding message sequence expected to be received next time; and (4) amending a message loss retransmission mechanism, and starting retransmission when the accumulated packet loss number of coding messages achieves the number of sliding windows. Through the operation, the complexity of network coding can be reduced, and the network coding efficiency and the TCP throughput of an end-to-end system are improved.

The invention discloses a system for detecting whether coronary angiography has a complete occlusion lesion or not based on deep learning. A deep learning recurrent neural network is used for analyzing an overall video, a GPU (graphics processing unit) is used for accelerating calculation to obtain a detection result, the calculation delay is small, and the real-time problem of detection is solved. The system comprises a video input module, a convolutional neural network module, a coding and decoding attention module and a classification module. Particularly, the encoding and decoding attention module and the supervision algorithm thereof provided by the invention are used for generating a proper attention weight to improve the detection accuracy. The end-to-end system design achieves automation of the coronary artery complete occlusion detection process, and complex intermediate steps are not needed. Compared with other systems for detecting whether the complete occlusion lesion exists or not, the whole video instead of a single image is analyzed, the situation of misjudgment caused by the single image is reduced, and the accuracy of existence judgment of the complete occlusion lesion is remarkably improved.

The invention relates to an automatic end-to-end English text structure analysis method based on a pipeline mode and belongs to the technical field of natural language processing applications. According to the method, the explicit text relation is identified, for the shortcoming of characteristic vectorization performed by adopting a word bag model in a traditional method, a characteristic representation and calculation method based on combination of a hybrid convolutional tree kernel and a polynomial kernel is proposed, and syntax characteristics and flat characteristics are divided and ruled. The characteristic vector dimensionality can be greatly reduced, and detailed information in expression characteristics can be fully expressed. Furthermore, for the problem that deeper semantics cannot be mined based on linguistic characteristics and the traditional method brings sparse data and semantic gaps during identification of non-explicit text relation, a non-explicit text relation identification model based on deep learning is provided by analyzing the identification characteristics of the non-explicit text relation in detail and applying the advantages of word pair characteristics. Compared with the prior art, the precision of a whole end-to-end system is improved.

Embodiments of the present invention provide for an end-to-end system and method for identifying custodians, preserving, collecting, processing, reviewing, analyzing, producing, presenting, and dispositioning data responsive to a legal discovery request.

The invention provides a wireless network system resource label switch method. The method comprises the following steps of: classifying and extracting the wireless network system resources in the label manner; performing service packaging on the classified and extracted resource labels according to a resource label switch data packaging format; and performing data forwarding on the packaged resource label switch data packets, wherein the resource label switch data packaging format is a resource label switch shim inserted between a header part of a data link layer and a header part of a network layer; the resource label switch shim comprises one or more multi-protocol label switch headers and one or more resource packet headers; and the classified and extracted resource labels are packaged in the one or more resource packet headers. The wireless network system resources can be divided into three types of resource classification labels, namely a wireless network end system, an access point and a wireless network channel system. According to the method disclosed by the invention, wireless network end-to-end system resource information can be shared; and the end system can be used for improving network system performance parameters according to the shared information by adopting an independent or cooperative strategy.