50results about How to "Avoid redundant information" patented technology

A method, program product and apparatus for decoding from a scalable bit stream the binarization results of a video sequence by selectively decoding syntax elements and avoiding redundancy in coding. The result is a decrease in the size of the compressed bit stream of an enhancement layer bit stream. One method includes determining whether a skipping flag in the base layer macro block of the video data is set, and decoding a skipping flag from an enhancement layer macro block of the video data, corresponding to the base layer macro block, only if the base layer macro block skipping flag is set. Another method includes determining which of a plurality of blocks in a base layer macro block contain zero coefficients, decoding an abbreviated coded block pattern (CBP) of an enhancement layer macro block, where the CBP includes a number of digits equal to the number of blocks in said base layer macro block containing only zero coefficients, and then generating a complete CBP for the enhancement layer based on the results of said decoding. Yet another method includes decoding a CBP value of a base layer macro block and differentially decoding a CBP value for an enhancement layer macro block relative to the CBP of the base layer macro block. An additional method includes determining the zero-value coefficients in a block of a base layer, decoding a coded block flag for a corresponding block in an enhancement layer, and determining, based on the value of said encoded block flag, whether any of the zero-coefficients become non-zero coefficients in said enhancement block.

The invention discloses an index screening and processing method for evaluating quality of tobacco leaves. The method is characterized by comprising the following steps: determining 21 tobacco leaf quality indexes, screening the quality evaluation indexes by utilizing a main component analysis and relevant analysis way, grading the quality evaluation indexes by utilizing probability distribution, determining quality evaluation index weight by utilizing a layering analysis way, establishing a tobacco leaf quality judgment function by utilizing a K-average value clustering and multi-category gradual judgment analysis way, and detecting the accuracy of the judgment function. The tobacco leaf quality index which can accurately analyze and evaluate the tobacco leaf quality can be more systematically and comprehensively screened from the tobacco leaf quality indexes of multiple base units.

A network-based emergency call device for a vehicle. A first connection between the vehicle and a server is firmly prescribed as a permanent IP connection. This connection is used to send an emergency call, together with the necessary emergency call data to the server. The latter forwards the emergency to all the registered assistance units via further connections directly and without human action. The assistance unit providing assistance is selected automatically by taking the emergency call by an assistance unit. The subsequent setup of a communication link between the assistance unit taking the call and the vehicle involves the use of the already existing IP connection between the vehicle and the server for the communication link which is to be set up. The data to be transmitted and the data rate can also be customized to the current situation of the vehicle and to the surroundings of the vehicle.

The invention discloses a method for automatically identifying and calibrating medical color and gray scale images. The method includes the steps of carrying out image graying and binarization, carrying out feature point detection, statistics and merging, determining ranges of the color images and the gray scale images, and calling different calibrating curves according to the color attributes of the images within the ranges. According to the method, in a display picture formed by the multiple color images and the multiple gray scale images, the displaying ranges of the color images and the gray scale images can be correctly divided, and different calibrating modes can be adopted for the different images within the ranges, so that on the premise that complex information is avoided, the displaying quality of the images is guaranteed, and the doctor diagnosis accuracy and the doctor diagnosis efficiency are improved.

A method, program product and apparatus for decoding from a scalable bit stream the binarization results of a video sequence by selectively decoding syntax elements and avoiding redundancy in coding. The result is a decrease in the size of the compressed bit stream of an enhancement layer bit stream. It has been demonstrated that the compression efficiency equals that of a single, non-scalable video stream for some video sequences. These features may be achieved by determining whether a skipping flag in the base layer macro block of the video data is set, and decoding a skipping flag from an enhancement layer macro block of the video data, corresponding to the base layer macro block, only if the base layer macro block skipping flag is set.

A biological information detection sensor is provided by which it is possible to integrate multiple detection means, and it is possible to measure the biological information that is necessary in accordance with the usage state of the sensor used by the user while avoiding redundant information. The biological information detection sensor includes: a skin condition detection portion measuring at least one of a capacitance and an electric resistance change between engaged comb electrodes; a smell component detection portion measuring an electric resistance in accordance with objects absorbed on a selective sensitive membrane which is formed on a portion of the engaged comb electrodes; a temperature detection portion measuring an ambient temperature based on an electromotive force generated by a thermocouple which is formed by using at least two kinds of metallic materials and which is formed on a portion of the engaged comb electrodes; a switching means SW which compares the electromotive force generated by the thermocouple due to changes of the ambient temperature to a predetermined threshold, detects a contact state with an object having a heat source such as a biological body based on a comparison result and conducts switching operation of ON and OFF of the skin condition detection portion and the smell component detection portion based on the contact state.

An integrated medical software system with a patient registration software component executed by a processor of the system to capture patient information is disclosed. The system and method comprise a section where demographic data is input for the patient, said demographic data including at least one of a digital photograph, a name, an address, a date of birth, a social security number, and a sex of the patient; a section where financial data is input for the patient, said financial data including at least one of financial responsibility, outstanding balances, insurance coverage, insurance claims currently being processed, and account information of the patient; and a section where administrative data is input for the patient, said administrative data including at least one of scheduling information, reminders and alerts, visit check-in and check-out, and system preferences for the patient, wherein the patient is pre-approved for at least one of a referral, a hospital admission, a clinician's order, a medical procedure, or a medication that would otherwise require prior approval based on at least one of the demographic data, the financial data, and the administrative data.

The invention relates to a #-shaped LBP and deep learning combination-based human face identification method, and belongs to the technical field of artificial intelligence. For the problems of insufficient feature extraction and classifier fitting of a conventional LBP, a human face identification method based on a #-shaped LBP and deep learning of a local texture feature is proposed. By utilizingan improved LBP algorithm, the local texture feature of a human face image is extracted, and an LBP histogram is established; then a deep belief network-based deep learning framework is established,the LBP histogram is input to a deep belief network, the network is trained by adopting an unsupervised layer-by-layer training method and a supervised BP algorithm, self-learning and self-optimization of the network are realized, and network parameters are obtained; and finally, the human face image is classified and identified by utilizing the DBN. According to the method, the distinctive texture feature of the human face image can be extracted; the superiority of the algorithm in identification rate is verified; and the robustness is relatively strong.

An integrated medical software system with automated prescription management is disclosed. The system comprises a clinical module that is utilized by a user of the system to create an electronic document and to capture clinical data in the electronic document with a user interface during an encounter with a patient, said clinical data including one or more prescriptions the user generates for the patient, and said electronic document being pre-populated with at least a portion of demographic data for the patient; and an application that interfaces the system with at least one of a lab, a pharmacy, and a prescription system via a network connection and that automatically submits instructions for filling the one or more prescriptions to the at least one of a lab, a pharmacy, and a prescription system as the one or more prescriptions are generated for the patient during the encounter with the patient, wherein the user can generate the one or more prescriptions for the patient by using the user interface to select the one or more prescriptions from one or more previously generated prescriptions such that the instructions for filling the one or more prescriptions will be automatically submitted to the at least one of a lab, a pharmacy, and a prescription system without the user writing a new prescription.

The invention relates to a vehicle road real-time communication system and communication method based on a cellular network. The vehicle road real-time communication system based on a cellular networkincludes a vehicle-mounted-end communication component, and a central platform, wherein the vehicle-mounted-end communication component is used for acquiring vehicle information and motion parametersfrom a vehicle-mounted client in real time, transmitting the vehicle information and the motion parameters to the central platform, and performing information verification and delay correction on thecontrol signal data; and the central platform is used for receiving the location information data sent by the vehicle-mounted-end communication component to perform analysis, association and matchingon the location information data, and sending the control signal data to the vehicle mounted-end communication component. Compared with the prior art, the vehicle road real-time communication systembased on a cellular network has the advantages of being flexible in system deployment, being safe and controllable, being simple in development and maintenance, supporting independent development, being low in delay and high in reliability, being low in traffic consumption, being preferable in scalability, supporting communication technology evolution and the like.

The invention discloses a screening and handling method for climate indexes. The screening and handling method comprises the steps that climate monitoring indexes in a cigarette raw material producing area are used as the basis, factors and correlation analysis are applied to determine a characteristic index of a climate evaluation factor, probability distribution and standard deviation method weight coefficients are adopted to obtain the evaluation standard for the characteristic index, K-means clustering and multi-accumulating stepwise discriminant analysis are used for building a discrimination function and inspecting accuracy of the discrimination function, finally, a base unit climate index comprehensive classification result is determined, and the cigarette industrial raw material base layout is optimized according to the result. According to the screening and handling method for the climate indexes, the climate indexes capable of accurately analyzing and evaluating the cigarette raw material base are screened out more systematically and more comprehensively from the climate indexes of a plurality of base units, the lateral linkage of the climate indexes is built, and redundant information among the climate evaluation indexes is avoided. The invention further provides an evaluation method for the cigarette raw material base, and the decision-making basis and theoretical supports can be effectively and rapidly provided for optimization of the cigarette industrial enterprise base unit layout.

The invention discloses a method and a device for early warning fire in a highway tunnel based on video recognition. The method comprises the following steps: acquiring video data acquired by a multi-channel video acquisition device of a highway tunnel to be monitored; according to a preset image deep learning model, judging whether each path of video data contains a fire source with smoke and / or flame characteristics; and when the at least two paths of video data are judged to contain the mobile fire source, judging whether the fire sources in the at least two paths of video data are the same fire source or not according to a preset fire source fusion model, and obtaining fire early warning information containing fire behavior grade and fire source quantity information. According to the embodiment of the invention, early warning is carried out according to the fire early warning information, so that by adopting the embodiment of the invention, a plurality of same mobile fire sources can be prevented from being mistakenly considered as a plurality of fire events, multiple times of early warning are carried out, a large amount of redundant information is prevented from being generated, the early warning efficiency is improved, and the early warning accuracy is also improved.

A radio base station (200A) according to the present invention includes: a radio related information retainer unit (206) configured to retain radio related information on connection between a mobile station (100) and the radio base station (200A); a handover request signal generator / transmitter unit (208) configured to transmit a handover request signal including the radio related information retained by the radio related information retainer unit (206) to a connection target radio base station (200B) ; and a handover command signal generator / transmitter unit (202) configured to transmit, to the mobile station, a handover command signal for notifying difference information between the radio related information retained by the radio related information retainer unit (206) and radio related information set by the connection target radio base station (200B) based on a handover request acknowledgment signal.

A network-based emergency call device for a vehicle. A first connection between the vehicle and a server is firmly prescribed as a permanent IP connection. This connection is used to send an emergency call, together with the necessary emergency call data to the server. The latter forwards the emergency to all the registered assistance units via further connections directly and without human action. The assistance unit providing assistance is selected automatically by taking the emergency call by an assistance unit. The subsequent setup of a communication link between the assistance unit taking the call and the vehicle involves the use of the already existing IP connection between the vehicle and the server for the communication link which is to be set up. The data to be transmitted and the data rate can also be customized to the current situation of the vehicle and to the surroundings of the vehicle.

The invention provides an information transmission method for an AIS navigation mark link. A base station and a plurality of AIS navigation mark relay stations are used for transmitting information. The method comprises the following steps that A, the navigation mark link is planned, priorities of all navigation mark stations are determined, and identification code information is preset to the navigation mark stations; B, when sent, the information comprises the number of forwarding times, information reception destination identification codes and information emission source identification codes; C, after the navigation mark stations receive the information, whether the information is uplink or downlink is judged, and whether the received information conforms to uplink and downlink forwarding standards of the navigation mark stations is judged; D, when the information is forwarded, only the information, in the raw information, of the number of the forwarding times is corrected, and when the information of the number of the forwarding times is edited, one or two is added with the received information of the number of the forwarding times as the datum according to the fact whether the up-stage station or the next down-stage station fails or not. According to the information transmission method for the AIS navigation mark link, the relay function of the navigation mark link is brought into full play, the redundant information is avoided to the maximum degree, and the adaptive function is powerful.

The invention discloses a multi-attribute green index grading coordination evaluation method. The method includes, constructing a product green performance evaluation index system by taking four dimensions of resources, energy, environment and consumption as constraints; evaluating the green degree by using a green degree evaluation method based on an expected target; reduction based on gray dynamic clustering is carried out on the indexes evaluated to be general; carrying out resolution based on TRIZ theory causal chain analysis and contribution rate analysis on conflicts existing in the reduced indexes, generating a conflict resolution scheme, and carrying out green grading on general indexes and indexes with good and excellent green degrees after resolution, so as to form a green grading index system. According to the method, the thought of green index grading is determined, a graded green index system of gold and silver bronze is established, a new thought of conflict resolution between green indexes is established, and redundant information of the green indexes is avoided.

The invention relates to an electrical load joint prediction method and device, a terminal and a storage medium, and the method comprises the steps: determining main meteorological factors affecting an electrical load and an air load according to the impact degree of each meteorological factor on the electrical load and the air load; acquiring historical data of the electrical load and the gas load and historical meteorological data corresponding to the main meteorological factors; according to the historical data and the historical meteorological data of the electrical load and the gas load,constructing a long-term and short-term memory network LSTMS model; predicting the electrical load and the gas load according to the constructed LSTMS model to obtain a prediction result; consideringthe influence of meteorological factors on the change of the electrical load and the gas load, predicting the electrical load and the gas load by the LSTMS model so that the prediction precision is high, the change trend of the electrical load and the gas load can be well simulated, and a reference can be provided for making a day-ahead operation strategy for a comprehensive energy system.

The invention discloses a method for monitoring quercetin in the extraction process of folium ginkgo in real time by applying a near-infrared technology. The method comprises the following steps: firstly installing a macroporous-resin real-time monitoring system, then carrying out correlation on the content data of the quercetin determined by a high-performance liquid chromatography and near-infrared spectral information by applying a partial least square method, and establishing a quantitative correction model for the content of the quercetin in the extraction process of the folium ginkgo; utilizing the established quantitative correction model to carry out fast detection on the content of the quercetin in the extraction process of the unknown folium ginkgo. The method disclosed by the invention has the advantages that real-time sampling can be carried out on an extracting solution in the extraction process of the folium ginkgo, and the change of the quercetin in the extracting solution of the folium ginkgo is monitored in real time; and the result is accurate and reliable.

The invention discloses a backup system of a recording file and a method thereof, wherein, the system comprises a recording foreground, a media resource server and a database server. The recording foreground is respectively connected with the media resource server and the database server, and the media resource server is connected with the database server. The system is characterized by also comprising a server for removing key recording which is respectively connected with the media resource server and the database server. The method comprises the following processes: (a) whether the recording is the key recording is marked in a data record which is only corresponding to the recording file in the database server, and the recording file which is marked as the key recording is a key recording file; (b) the server for removing the key recording periodically removes the overdue recording files in the media resource server, and the key recording file is saved in a media medium. By adopting the invention, unnecessary and abundant information in great quantity is avoided, thus effectively increasing the utilization rate of the media medium.

The invention belongs to the field of real-time embedded network communication, and particularly relates to a dynamic data communication method and device based on the DDS technology. The method comprises the following steps: step 1, generating a communication channel according to a theme ID dynamically generated in a DDS communication process; step 2, judging whether communication data needs to be routed or not according to a theme routing table, and transmitting the communication data through the communication channel; and step 3, after the communication is finished, releasing theme memory resources, and updating the theme routing table. According to the dynamic data communication method based on the DDS technology, a user can adapt to the point-to-point communication requirement of eachnode without configuring a theme in the communication process. Each communication node only receives the control information and does not receive information irrelevant to the node, so that redundantinformation is avoided, and meanwhile, the safety of data is ensured.

Systems and techniques for processing video data include a pruning processes for motion vector candidate list construction. An illumination compensation flag of a potential motion information candidate to be added to a motion information candidate list can include motion information associated with a block of video data, where the motion information can include a motion vector and an illumination compensation flag. The motion information can be compared with stored motion information in the motion information candidate list, where the stored motion information can include at least one stored motion vector and associated stored illumination compensation flag. When the motion vector matches the stored motion vector, the pruning process can include not adding the motion vector to the motion information candidate list, and updating the stored illumination compensation flag based on a value of the illumination compensation flag and a value of the stored illumination compensation flag.

An information processing apparatus capable of executing at least one information processing operation is provided. The information processing apparatus includes a process control system to execute one of the at least one information processing operation to a piece of data stored in a first data storage, which is indicated by a first storage name, when the piece of data in the first data storage is recognized. The information processing apparatus further includes the first storage name including a character string to specify the information processing operation to be performed, and a data relocating system to relocate the piece of data from the first data storage when the data processing operation is completed.

The invention discloses a multimode network data processing method, an apparatus and a system thereof. The method comprises the following steps that: a main network cell acquires required fields in a broadcast message of an inter-system adjacent cell, wherein the required fields are the information which is required by a multimode terminal during accessing to a target inter-system adjacent cell; the main network cell sends the required fields of the inter-system adjacent cell to the multimode terminal under the main network cell. By using the multimode network data processing method, the apparatus and the system of the invention, through extracting the required fields in the broadcast message of the inter-system adjacent cell, the main network cell only forwards the required fields; a lot of redundant information can be avoided; a network utilization rate is effectively increased; data processing complexity of the main network is reduced; the terminal is convenient for correctly receiving and completing correlation information storage and a network resource is saved.

The invention discloses a multi-round visual dialogue method based on multi-level sorting learning, provides a context control gate mechanism, adaptively endows dialogue historical information with a weight to answer a current question, and avoids redundant information caused by blindly using the dialogue historical information. Meanwhile, a multi-level sorting learning module is designed, all options are divided into three levels, the ranking of the options which are similar to correct answers in semantics but not marked as the correct answers is improved, and therefore the generalization ability of the model is improved.