99 results about "Individual level" patented technology

Touch screen interfaces suffer from a visual-motor conflict when the user attempt to interact with a virtual object but experiences no physical sensations resulting from that interaction. This can result in uncertainly and decrease performance as well as overall satisfaction with the interface. We introduce a method and device that resolves these issues in stylus-based interfaces for both single and multi-user environments by providing individualized haptic and acoustic feedback. This is achieved by adding a mechanical actuator and acoustic generator to each stylus. These are controlled to respond appropriately to virtual objects and are capable of simulating a variety of physical sensations. Because the feedback is generated by the stylus rather than the screen or touch surface, the current invention can operate at the individual level even in the presence of multiple simultaneous users.

A gateway between client manager applications and an enterprise manager may be provided to manage various networked objects. In one embodiment, CORBA-based TMN manager applications may be communicatively coupled to a CORBA Object Request Broker (ORB) and may be operable to send Interface Definition Language (IDL) requests to, and receive IDL responses and CORBA events from, managed objects through the CORBA ORB. The client manager may first be authenticated to the gateway by username and password, or other validation information associated with the client manager, which may be represented in a user profile. Once the initial client authentication is accomplished, the gateway may provide object-level access control between manager applications and managed objects at an individual object level so that one of the managers is granted access to one of the managed objects while being prevented from interfacing with a different one of the managed objects.

A system and method for evaluating any level of performance of an individual in any job level of any job position is provided using a computer-based technology, including a file server adapted to be in communication with at least one remote station and at least one storage medium; a first database of information stored on the storage medium and containing performance skill standards directly related to the job level of the job position; a database of information stored on the storage medium and containing a bibliography of reference materials concerning the job level of the job position. Also resident on either the remote station or the file server is a software program for providing access to the data in the databases and managing it in a manner for assessing the individuals level of proficiency in the performance skill standards for the job level of the job position, and creating a bibliography output containing a list of reference materials based upon the individual's assessment and for use by the individual to improve his or her level of performance about the job level of the job position.

Systems and methods for individual risk factor identification include identifying common risk factors for one or more risk targets from population data. Individuals are stratified into clusters based upon the common risk factors. A discriminability of each of the common risk factors is determined, using a processor, for a target cluster using individual data of the target cluster to provide re-ranked common risk factors as individual risk factors for the target cluster, such that the discriminability is a measure of how a risk factor discriminates its cluster from other clusters.

Provided are a radio transmission device and a radio transmission method, which prevent the deterioration of a preamble detecting performance while reducing the collision probability of a RACH. In this radio transmission device, a Signature table storage unit (103) divides the magnitudes of transmission loss levels into individual levels corresponding to the distances from a base station, to cause CAZAC series and circulation shift quantities to correspond to each other at the individual levels, and is provided with a table containing a plurality of Signatures created from the CAZAC series and the circulation shift quantities caused to correspond to each other. A Signature selecting unit (104) selects one of the corresponding Signatures at random from the Signature table storage unit (103), on the basis of the magnitude of the transmission loss level outputted from a transmission loss level deciding unit (102). A RACH signal generating unit (105) generates the RACH signal with the Signature selected.

Systems and methods for individual risk factor identification include identifying common risk factors for one or more risk targets from population data. Individuals are stratified into clusters based upon the common risk factors. A discriminability of each of the common risk factors is determined, using a processor, for a target cluster using individual data of the target cluster to provide re-ranked common risk factors as individual risk factors for the target cluster, such that the discriminability is a measure of how a risk factor discriminates its cluster from other clusters.

The invention discloses a method and device for obtaining chat reply contents. The method comprises the following steps: obtaining basic information of a communication terminal which sends and/or receives a chat initiation sentence, wherein the basic information comprises one or more of the twelve animals, constellations, blood types and color preferences; obtaining a user portrait label corresponding to a preset user portrait entry according to the basic information, wherein the user portrait label is used for carrying out user portraying on the communication terminal; obtaining a chat reply content corresponding to the chat initiation sentence according to the user portrait label. according to the method and device disclosed in the invention, the technical problems that the conventional chat reply content obtaining method in the prior art does not combine the user portrait information of the communication terminal participating in the chat so as to enable the obtained chat reply content to be single and fixed, enable the intelligent degree of the chat to be low and enable the user experience to be bad is solved, different chat reply contents can be obtained according to different user portrait information, and the obtained chat reply contents are fully combined with the user portrait information of the communication terminal, so that relatively high intelligent and individual level are embodied.

A method for creating map data for navigation includes setting a plurality of levels corresponding to levels of detail, stratifying meshes at the individual levels, and creating map data that includes road information of the individual meshes at the individual levels. The map data includes, for individual combinations of two meshes at a predetermined level, data for identifying meshes at the predetermined level that are used to search for routes from one mesh in each of the combinations of two meshes to the other mesh in each of the combinations of two meshes as search range data.

Architectures, methods and systems are presented which combine a multiple of directories (e. g. L1 and L2 directory) into a single directory, while still allowing the individual levels to use their own organization which is best for overall performance. This integration is performed without compromising the organization at each level. With some small additions to the L2 directory, it is used simultaneously to perform both the L1 and L2 directory functions. Additionally, the same organizational structure allows the L2 array to serve both as a traditional L1 and simultaneous L2 array. In one aspect of the present invention an architecture is provided for a first and second level memory hierarchy, or cache, including a first data storage array for the first level memory hierarchy; a second data storage array for the second level memory hierarchy, a single address translation directory combining the directories for the first and second level memory hierarchy into a single directory satisfying the organization requirements of both the first and second level memory hierarchy. Also provided is a system having three level memory hierarchy comprising: a single combined directory used to serve each of three separate storage arrays. Each of the storage arrays serves a respective level of the three level memory hierarchy wherein the organization of the various levels is not compromised by the use of the single combined directory.

A target value of a contrast ratio of an image display apparatus is set, and the number of levels, among which the luminance of a backlight is changed over, and each level of luminance are decided according to the target value of the contrast ratio. The backlight is made to emit light at the individual levels of luminance of the backlight thus decided, and at the same time, the image display apparatus is made to display a predetermined color chart thereon, so that color measurement is thereby carried out, and calibration is carried out at each level of luminance of the backlight based on a color value thus measured. The calibration is carried out only on an appropriate number of levels of the luminance of the backlight required to achieve the target value of the contrast ratio.

A technique of operating a communication device includes dividing a frequency band associated with a background noise signal into respective sub-bands. Respective individual level estimates for each of the respective sub-bands are then determined. A total level estimate for the background noise signal is determined. Finally, a comfort noise signal (whose characteristics are based on the respective individual level estimates and the total level estimate) is provided.

A method includes collecting individual-level data (for example, survey data) corresponding to each of one or more individuals who has been exposed to advertising for a product or service. A representative sample may be created from the individual-level data. A model may be created based on factors relating to acquisition of the product or service. A response to the advertisements is assessed based on the model. In some embodiments, intermediate measures to sales are included in the model. In some embodiments, the individual-level model is integrated with a historical model.

The invention relates to a combination of multiple genetic single nucleotide polymorphisms and environmental factors related to a coronary heart disease and application of the combination. The genetic single nucleotide polymorphisms comprise the following locus: rs2123536, rs18422896, rs9349379, rs9268402, rs12524865, rs10757274, rs1333042, rs7136259 and rs11066280; and the environmental factors comprise individual smoking, drinking and body mass index information, and blood gloucose and high density lipoprotein cholesterol value in venous blood. Based on the combination factors, a prediction model for individual level coronary heart disease is established, and the combination of the multiple genetic single nucleotide polymorphisms and the environmental factors related to the coronary heart disease has an important application prospect in assessing the coronary heart disease risk for people.

The invention discloses a high efficient real-time frame of a group animation, which is used for realizing a general group behavior system. The frame comprises a group level, a cluster level and an individual level, wherein, after an external command is sent to the group level, and then the external command is delivered to the corresponding cluster level through the grid classification, and the variation of a virtual environment is perceived through the cluster level, the individual level is controlled by combining the obtained command, and the individual level performs the correspondent detail level action according to the controlling information and the environment information of the cluster level. The technical proposal of the high efficient real-time frame of the group animation of the invention can effectively reduce the resource consumption and improve the real-time performance of the rendering and the calculation.

The invention discloses a brain function network classification method based on a variational autoencoder. The method comprises the following steps: The method comprises the following steps of: acquiring T1 weighted MRI and rs-fMRI of a plurality of normal people and patients with brain cognitive impairment; carrying out pretreatment; carrying out double regression analysis by taking the preprocessed rs-fMRI as a regression dependent variable and the brain function network as a regression independent variable to obtain an individual level brain function network; constructing a deep variationalautoencoder (VAE) model, taking the obtained individual level brain function network diagram as the input and output of the VAE, and taking the encoder part as a feature extraction module for obtaining the implicit code of the individual function network; constructing a multi-layer sensor network to classify the codes obtained by the VAE in the step 4; and deducing samples in the test set by using the trained classifiers for different brain function networks, and fusing deduction results of the classifiers to obtain a final classification result.acquiring T1 weighted magnetic resonance imagesT1 Weighted MRI and resting state functional magnetic resonance images rs-of a plurality of normal persons and patients with brain cognitive impairment; fMRI; carrying out pretreatment; pretreated rs- Performing double regression analysis by taking fMRI as a regression dependent variable and taking the brain function network as a regression independent variable to obtain an individual level brainfunction network; constructing a depth variation auto-encoder (VAE) model, taking the obtained individual level brain function network diagram as input and output of the VAE, and taking the encoder part as a feature extraction module for obtaining hidden codes of the individual function network; constructing a multi-layer perceptron network to classify the codes obtained by the VAE in the step 4;inferring samples in the test set by utilizing a plurality of trained classifiers for different brain function networks, and fusing inference results of the plurality of classifiers to obtain a finalclassification result; according According to the invention, the classification accuracy is improved.

The invention discloses a comment-driven deep sequence recommendation method, which comprises the following steps of: establishing a vocabulary for a user comment text, and endowing each word with a randomly initialized word vector; constructing a document word vector expression matrix for each document; obtaining an aspect-perceived document expression tensor and a plurality of feature maps; calculating the long-term preference vector of the user and the vector representation of the commodity; calculating user short-term preference vectors of a joint level and an individual level; performingweighted addition on the two levels to obtain a final user short-term preference vector; multiplying the short-term preference vector of the user by a reduction coefficient, adding the short-term preference vector of the user to the long-term preference vector of the user to obtain vector representation of the user, and calculating a preference score of the user for the commodity; training and obtaining an RNS model; and applying the trained RNS model to an online sequence recommendation scene. The comment-driven sequence recommendation problem is well solved, the method has the advantages ofbeing high in training speed and short in test time, and it is shown that the method has wide practical significance and commercial value.

Techniques for monitoring one or more transaction instances in a real-time network are provided. The techniques include obtaining one or more system log files, wherein one or more footprints left by one or more transaction instances are recorded in the one or more system log files, obtaining a transaction model, wherein the transaction model comprises one or more transaction steps and a footprint pattern corresponding with each transaction step, and using the one or more system log files and the transaction model to monitor the one or more transaction instances in a real-time network at least one of an individual level and one or more aggregate levels.

The invention provides a method and a device for intelligent approval. The method comprises the following steps: presetting at least one approval category, a scene category corresponding to the approval category and scene information and approval decision information corresponding to the scene category; collecting status information of an approval process, wherein the status information is the information related to the approval process; matching the status information with the scene information in the scene category corresponding to the approval category corresponding to the approval process; automatically approving according to the approval decision information corresponding to the scene category if the status information is matched with the scene information in the scene category. The technical problem that the automatic approval is not intelligent because the scene information is not considered in current automatic approval is solved. The automatic approval realized according to the scene information is fit for the logical thought of manual approval and has higher intelligent and individual level.

The present invention discloses an individual-level transcranial brain atlas generation method, where invisible intracerebral atlas information may be projected onto a visible scalp surface, so that an operational space and an effective space that are originally separated are fused together. For the problem of applying a transcranial brain atlas to guidance of individual placement of a transcranial device, the present invention further provides an individual-characteristic-based transcranial brain atlas generation method and navigation system. An experimental result indicates that, the present invention can be used to effectively improve coverage accuracy of a near-infrared measurement optrode in a brain region of interest, and consistency between measurement locations on upper cortexes of different persons, thereby improving sensibility of detecting a task-induced brain activity by using a near-infrared technology.

A system and method for using social tools, such as social media, to engage one or more members of a healthcare ecosystem that includes: tools for enabling sharing content from an identified source, posting of content from an anonymous source, anonymously linking a member to one or more third party stakeholders (health insurance companies, physicians, organizations, employers), and one or more contests and rewards for providing incentives for behaviors promoted by third party stakeholders, and a reporting tool for use by the third party stakeholders for assessing the effectiveness of the contests and rewards, both on the group and individual level, to achieving those behaviors. All of this is provided within a framework that is available on personal computers, tables or mobile phones.

There is provided a battery voltage alarm apparatus which announces the necessity of battery exchange when battery voltage falls below a predetermined level. The battery voltage alarm apparatus has a battery voltage detector, and a plurality of steps of detection levels for raising battery low voltage alarm are set and alarm sounds generated at individual levels are made to be different from each other. An alarm raised at a higher level is made to be an intermittent singing or a low-volume singing in order to reduce power consumption.

Disclosed is an operation simulation training method based on a virtual reality technology. The method includes the following steps: sending operation training teaching material information to users in a medical school; carrying out operation simulation training by the users according to the operation training teaching material information, and obtaining training result information of the users; generating level evaluation reports of operation training in the medical school and an individual level evaluation report of each user according to the training result information of the users; sendingthe individual level evaluation reports of the users to the corresponding users according to a first preset period; and sending the level evaluation reports of operation training in the medical school to the designated users according to a second preset period.