652results about How to "Avoid ambiguity" patented technology

The present invention, known as The Collaboration Portal (COPO), relates generally to the field of automated entity, data processing, system control, and data communications, and more specifically to an integrated method, system, and apparatus for providing computer-accessible benefits for communities of users. It provides a framework for provisioning computer-accessible benefits for communities of users, and can efficiently and robustly distribute the processing in behalf of those users over a decentralized network of computers. The field of the invention generally encompasses enabling appropriate and desired communication among communities of users and organizations, and providing information, goods, services, a works, opportunities, and connections among users and organizations.

In a network device such as a network switch having a port coupled to a communications medium dedicated to a single virtual local area network and another port coupled to a communications medium shared among multiple virtual local area networks for transmitting data frames between the dedicated communications medium and the shared communications medium, a method of identifying the virtual network associated with each data frame received by the network switch when transmitting the data frames over the shared communications medium. The method comprises receiving data frames from the dedicated communications medium coupled to one port, and, with respect to each data frame so received, inserting a new type field and a virtual network identifier field. The contents of the new type field indicate the data frame comprises a virtual network identifier field. The method further includes placing a value in the virtual network identifier field identifying the virtual network associated with the data frame and transmitting the data frame over the shared communications medium. Upon receipt of the data frames from over the shared communications medium, another network device can discern from the virtual network identifier field in each data frame the virtual network from which the data frames were received and determine whether to forward the data frames accordingly.

The invention discloses an intelligent multi-target active tracking monitoring method and system. The method comprises a plurality of steps such as a multi-target active tracking step, an active focusing step, a target switching step, a relay tracking step, an access warning step and a complicated environment preprocessing step. A panoramic picture in a monitor region is acquired by virtue of a first camera, a tracked target is locked, real-time coordinate information of the tracked target in the panoramic picture as well as a first angle control value of a cradle head of a second camera corresponding to the coordinate information and a first focusing value of the second camera are calculated, when a close-up image of one tracked target needs to be acquired, the second camera positions the tracked target according to the angle control value and the first focusing value corresponding to the selected tracked target so as to acquire the close-up image, so that the second camera is always focused on the tracked target to continuously track and photograph the tracked target in real time. By adopting the intelligent multi-target active tracking monitoring method and system, the cradle head control problem and focusing problem in the video monitoring and multi-target tracking can be effectively solved.

A method is provided for transmitting information concerning at least two persons. The method for transmitting information inside a group includes at least the following steps: obtaining emotional conditions associated with the persons; converting each of the emotional conditions into condition information; transmitting the condition information to emotion rendering device capable of associating with each person at least two predetermined conditions representative of at least two respective different emotional conditions.

The invention discloses an aggregate digital image assessment system which comprises a motion control module, a computer module, an image acquisition module and a power supply module, an image preprocessing module, an aggregate identity module, an aggregate analysis and evaluation module and a data storage module. The assessment method includes that: a computer sends an instruction to a motion controller for controlling the linear sliding of a laser scanner; a CCD camera takes a picture of aggregate on a scanning board and transforms the image to a digital image; the digital image is transformed to a grey-scale map, And an edge detecting operator is utilized for carrying out image enhancement and restoration to the transformed grey-scale map so as to transform the grey-scale map to a binary image; the aggregate in the binary image is projected and the image of the aggregate in the binary image is detected and separated; IPP image processing and analysis software is used for calculating the three-dimensional coordinate of the surface of the aggregate; quantitative assessment category is carried out to the characteristics of the aggregate to obtain the gradation, the shape, the corner angle and the texture of the aggregate; the computer stores experimental data as well as analysis and assessment results. The aggregate digital image assessment system of the invention can be used for analysis and assessment of the aggregate.

An interbody spinal fusion implant for insertion across a disc space between adjacent vertebral bodies of a human spine has a body two top side and two bottom side junctions, with at least a pair of diagonally opposed junctions having a distance therebetween that does not significantly exceed the implant body height. The implant also includes one or more bone penetrating protrusions extending outwardly from at least the upper and lower walls of the implant. The implant is inserted on its side between adjacent vertebral bodies and then rotated 90 degrees into place. The protrusions penetrate the endplates upon rotation, thereby securing the implant within the spine. The implant has at least one passage therethrough from the upper wall to the lower wall to promote fusion through the implant. Because of the specialized opposed junctions overdistraction between the adjacent vertebral bodies is avoided when the implant is rotated from an initial insertion position to a final deployed position. In one suggested implant set, two implants are rotated in opposite directions into their respective final deployed positions, and a third specialized implant is positioned therebetween to lock the three implants together along cooperating surfaces. A method for deploying the push-in implants is also disclosed.

The invention provides a cloud atlas segmentation method based on a FCN and a CNN, and belongs to the field of image segmentation of computer vision. The method is characterized in that firstly, a near neighborhood of each pixel point in a cloud atlas is correspondingly clustered through an ultra-pixel, the cloud atlas is input to fully convolutional networks FCN32s and FCN8s with different step lengths, and pre-segmentation results of the cloud atlas are realized; in a FCN32s result map, a black area is a part of a non-cloud area in the cloud atlas, and in a FCN8s result map, a white area is a part of a cloud area in the cloud atlas; and remaining uncertain areas are grey areas which need to be determined through a deep convolutional neural network (CNN), key pixels in an ultra-pixel area need to be selected to represent characterizes of the ultra-pixel area, and whether the characteristics of the pixels are cloud or non-cloud is determined through the CNN network. According to the method, the precision is equivalent to that of MR-CNN and SP-CNN, and the speed is increased by 880 times compared with MR-CNN and increased by 1.657 times compared with SP-CNN.

The invention discloses a medical record structured analysis method based on medical field entities, and the method comprises the steps of 1) building a medical entity and an attribute category tablefor a common medical record text, and carrying out the corresponding relation mapping; 2) identifying the medical entity in the medical record text by adopting a Bert _ BiLSTM _ CRF model; 3) segmenting the medical record text according to semantics to form events; 4) recombining the events; 5) constructing an attribute recognition model, and extracting the attributes in the segmented events; 6) connecting the medical entities of the events in the same sentence by utilizing the knowledge graph to obtain the relationship between the entities, and 7) customizing different attribute recognition models for different types of medical record text segments, and finally forming a final medical record structured analysis text according to the text sequence accumulating structured analysis results.

A pixel for the detection of electromagnetic radiation or impinging high energy particles, in particular for detecting X-ray photons, comprises a radiation receptor for converting the electromagnetic radiation or impinging high energy particles into a radiation signal, a converter for converting the radiation signal into a pulse train, and an analog accumulator for accumulating the pulses of a pulse train to an analog signal for readout. The analog accumulator is adapted such that the analog signal is non-linearly proportional to the pulse count. Such non-linear analog accumulator has the advantage of an large dynamic range.

The invention discloses a display panel and a display device. The display panel comprises a first display area and a second display area, and the light transmittance of the first display area is larger than that of the second display area. The display panel comprises first pixel groups located in the first display area and second sub-pixels located in the second display area, wherein each first pixel group comprises a first light-emitting pixel unit and a first non-light-emitting sub-pixel, and the first light-emitting pixel unit comprises first light-emitting sub-pixels; and the first pixel arrangement structure formed by the first light-emitting sub-pixels and the first non-light-emitting sub-pixels is the same as the second pixel arrangement structure formed by the second sub-pixels. According to the display panel provided by the embodiment of the invention, the boundary between the second display area with the higher PPI and the transition display area with the lower PPI in the display picture of the display panel is fuzzified, so that an obvious boundary between the two display areas is avoided, and the display effect is improved.

The invention relates to a full-body anti-slip ceramic brick and a production method thereof. According to the full-body anti-slip ceramic brick, a compound layer brick body is composed of a colored spot green body layer, large-particle colored spots mixed into the colored spot green body layer, a pattern decoration layer on the surface of the green body layer and a dry-particle glaze layer attached to the pattern decoration layer; the production method comprises the following steps: (1) pressing a green body, wherein green body powder is composed of conventional powder and large-particle powder; (2) drying under the conditions that the drying temperature is 80 to 100 DEG C and the drying time is 60 to 80 min; (3) decorating a pattern: before decorating the pattern, not applying any glazelayer or other protection layers on the surface of the blank body, so as to directly realize inkjet printing decoration on the surface of the blank body; (4) applying dry-particle glaze: spraying theglaze through a bell jar; (5) firing under the conditions that the temperature is 1150 to 1160 DEG C and the time is 50 to 60 min.

The invention discloses koala flock and a method for manufacturing the same. The koala flock is manufactured by taking 56 to 83dtex Shaoguang flat cross section fibers or semi-Shaoguang flat cross section fibers as koala flock face fibers, and 56 to 76dtex terylene FDY as bottom fibers, whereinthe 56 to 83dtex Shaoguang flat cross section fiber or semi-Shaoguang flat cross section fiber is 30 to 85 portions, and the 56 to 76dtex terylene FDY is 15 to 50 portions. The method comprises production processes of material preparation, weaving, thermal shaping, dyeing, treatment after dyeing, dewatering, colored cloth shaping, front face gigging, finished cloth shaping, combing, scalding, clipping and the like, and the flat fibers are used to replace the conventional circular fiber, so that the simulated koala flock with unique style is produced. The height of the koala flock is between 0.5 and 7mm, and the koala flock touches soft and smooth, and can be widely used in the production of flock toys, indoor flock slippers, blankets, knitting flock and the like, and can fully meet market demands.

A dipole antenna array comprising a ground plane, at least one dipole antenna including an active antenna element and a grounded antenna element, at least one reflector and integrated electronics, wherein the active antenna element is isolated from the ground plane and extends substantially perpendicular to the ground plane and the grounded antenna element extends in a direction substantially opposite to the active antenna element, the ground plane is contained within the area bounded by the reflector; the integrated electronics include at least one of a signal down converter and a signal up-converter, and at least some of the integrated electronics are contained in a space defined by at least one of a portion of the ground plane and a portion of the reflector.

Methods and apparatus for preventing physical hybrid automatic repeat request (HARQ) indicator channel (PHICH) ambiguities or collisions, for example, in a multi-carrier system or when transmitting multiple streams over multiple antennas, are described. Methods may include dividing resources or groups among multiple component carriers (CCs), using and assigning unused or vacant resources to CCs, forcing usage of adaptive HARQ processes in specified scenarios, setting a value for the cyclic shift of the corresponding uplink demodulation reference signals (DMRS) to a previous value for semi-persistent scheduling, and assigning a different first resource block for semi-persistent scheduling uplink resources and random access response grants for multiple CCs.

A context fusing system and methodology includes the steps of receiving context data from a plurality of information sources; computing a quality measure for each input context value; organizing context values into one or more clusters, and assigning a single context value and a single quality measure to each cluster; and, selecting one or more clusters according to one or more criteria and aggregating the context values and quality measures of selected clusters to generate a single context value and single quality measure. The single context value and single quality measure are usable by a context aware application to avoid conflict and ambiguity among different information sources providing the context data.

The invention relates to a method for mining comparable network language materials. The method includes acquiring source language web pages by the aid of network crawlers and preprocessing the source language web pages to obtain source language documents; analyzing probabilities of cross-language topics of the source language documents and generating corresponding target language query phrases; submitting the target language query phrases to search engines and selecting front N documents to form a target language candidate similar document set; computing similarity degrees of the source language documents and target language candidate similar documents, sieving documents with high similarity degrees and constructing a comparable language material bank. The invention further discloses a device for implementing the method for mining the comparable network language materials. The method and the device have the advantages that the problem of ambiguity or long time consumption due to vocabulary translation can be solved; the source language documents come from specific website contents acquired by the network crawlers, the target language documents come from the integral internet, and accordingly the source language document utilization rate can be effectively increased; the source language documents are matched with the target language similar documents by the aid of topic distribution similarity, and accordingly the language material bank construction accuracy can be improved.

The invention relates to a method which uses geophysical exploration to determine stratum lithology and pore-fluid. The method of the invention adopts recorded three-component VSP seismic wave field, obtains zero offset seismic wave field, calculates the transmission longitudinal wave P of the seismic wave field of sampling points of different depths, then calculates the reflecting coefficients and wave resistances of the longitudinal wave and the transverse wave; according to the obtain stratum wave resistance changing curve, compared with the known logging data, the lithology and the pore-fluid property of the stratum can be determined. The method of the invention can provide directly the wave resistance changing curve of deep domain, avoids the problems of multiplicity of the speed-depth, limited wideband and low resolution, has high resolution, sufficiently uses the advantages of three-component VSP, can provide resistance longitudinal wave and transverse wave and azimuth and inclined angle of the stratum simultaneously under a situation without transverse wave seismic source excitation, and provides beneficial bases for determining the change of the stratum lithology and the pore-fluid property.

The embodiment of the invention provides a multi-round conversation semantic analysis method based on a long-term and short-term memory network. The method comprises the steps that current conversation information is acquired; generating a current conversation representative vector according to the current conversation information; generating a knowledge code representation vector according to thecurrent conversation representation vector and a plurality of historical conversation code vectors acquired in advance; inputting the knowledge code representation vector and the word vector of eachsegmented word in the current conversation information into a first long-term and short-term memory model to obtain a prediction sequence label of the current conversation information; and obtaining corresponding semantic information according to the prediction sequence label, and executing corresponding operation according to the semantic information. The embodiment of the invention provides a multi-round conversation semantic analysis method and system based on a long-term and short-term memory network, computer equipment and a computer readable storage medium. According to the embodiment ofthe invention, the conversation information can be accurately understood, and the problems of ambiguity of multiple rounds of conversations and poor prediction capability for new conversations can besolved.