993 results about "Decision methods" patented technology

A moving picture coding apparatus includes (i) an inter-pixel filter (114) having the following filters for filtering decoded image data so as to remove block distortion which is high frequency noise around block boundaries: a filter A114a, a filter B114b, a filter C114c, a filter D114d, each having a different filtering strength, and (ii) a filter processing control unit (110) for determining a filtering strength of the inter-pixel filter (114).

In a radio communication system which uses pilot signals during transmission from a user terminal to a base station, the base station creates and stores a rank table on a peak to average power ratio of each pilot pattern, extracts a transmission power of the user terminal or a power difference between a maximum transmission power and the transmission power of the user terminal on the basis of a receive signal from the user terminal, and allocates a pilot pattern of which peak to average power ratio is good to a user terminal of which transmission power is great, or the power difference is small, with reference to the rank table.Or a pilot pattern in a rank according to the transmission status (e.g. transmission power, distance from the base station) of the user terminal is adaptively allocated to the user terminal.

The present invention discloses an intelligent traffic safety system based on comprehensive state detection and decision method thereof. The intelligent traffic safety system includes a person condition detection unit, a vehicle condition detection unit, a road condition detection unit, an intelligent decision unit, a driver warning unit, a current vehicle mandatory processing unit, a barrier warning unit, a pursuer warning unit and an after-crash warning unit. The person condition detection unit, the vehicle condition detection unit and the road condition detection unit are separately connected to the intelligent decision unit; the intelligent decision unit implements an intelligent traffic safety decision method based on comprehensive state detection, and respectively sends corresponding crash avoidance warnings and processing instructions to the driver warning unit, the current vehicle mandatory processing unit, the barrier warning unit, the pursuer warning unit and the after-crash warning unit connected to the intelligent decision unit.

Methods and systems are provided for delaying local information classification until global intelligence has an opportunity to be gathered. According to one embodiment, an initial information identification process, e.g., an initial spam detection, is performed on received electronic information, e.g., an e-mail message. Based on the initial information identification process, classification of the received electronic information is attempted. If the received electronic information cannot be unambiguously classified as being within one of a set of predetermined categories (e.g., spam or clean), then an opportunity is provided for global intelligence to be gathered regarding the received electronic information by queuing the received electronic information for re-evaluation. The electronic information is subsequently classified by performing a re-evaluation information identification process, e.g., re-evaluation spam detection, which provides a more accurate categorization result than the initial information identification process. Handling the electronic information in accordance with a policy associated with the categorization result.

Methods and systems are provided for recommending to a user whether or not to trust content for potential downloading. A system is provided to compute logical default choices based on a user's prior choices, a user's profile and preferences and trust choices made by experts that the user trusts. The system preferably uses Bayesian analysis and other statistical techniques to assign values and weightings to different inputs which, in their aggregate, result in modification to the default option displayed in the user interface.

The invention discloses a clinical data mining analysis and aided decision-making method based on an Internet integrated medical platform, and relates to the technical field of an Internet medical platform. The clinical data mining analysis and aided decision-making method includes data mining analysis and aided decision-making, wherein data mining analysis includes a multidimensional analysis algorithm module, a data mining algorithm module and a deep learning algorithm module; and aided remote decision-making includes four parts: a prediction module based on index parameters, a prediction module based on inspection report texts, a model training module and a structurized module. The clinical data mining analysis and aided decision-making method based on an Internet integrated medical platform selects several diseases as research objects for data collection and analysis, such as hyperthyroidism, diabetes, thyroid nodules and breast tumors, and collects and integrates clinical medicaldata depended the integrated platform to realize data mining analysis and aided decision-making services for clinical data diseases, such as hyperthyroidism, diabetes, thyroid nodules and breast tumors, so as to provide systematic support for clinical diagnosis of clinicians and disease research by researchers.

A method and system for contrast enhancement of an input image that utilizes luminance values of pixels of the input image to derive transforms. The method down-samples and partitions an image into sub-images whereby transforms are generated for selected sub-images. The selected sub-image transforms are used to generate an output transform which is applied to the input image for local contrast enhancement of the image. Furthermore, a decision method as to whether or not the input image is to receive local contrast enhancement wherein darkness features of the input image are compared to threshold values and combined into an expression which results in the determination.

The invention discloses an adaptive intra prediction mode decision method for high efficiency video coding (HEVC). According to the method, optimal mode selection methods of rough mode decision (RMD), most probable mode (MPM) and rate distortion optimization (RDO) in the HEVC are used, a texture-based additional mode selection process is added after RMD, the quantity of candidate modes is reduced to 2-5 for prediction blocks with the size of 4*4 and 8*8, the quantity of the candidate modes is reduced to 2-5 for prediction blocks with the size of 16*16 and 32*32, so that the quantity of the candidate modes participating in the RDO mode selection is obviously reduced.

A method and system for contrast enhancement of an input image that utilizes luminance values of pixels of the input image to derive transforms. The method down-samples and partitions an image into sub-images whereby transforms are generated for selected sub-images. The selected sub-image transforms are used to generate an output transform which is applied to the input image for local contrast enhancement of the image. Furthermore, a decision method as to whether or not the input image is to receive local contrast enhancement wherein darkness features of the input image are compared to threshold values and combined into an expression which results in the determination.

The invention discloses an advertisement injecting effect evaluation and intelligent push decision method based on face identification and big data analysis. The advertisement injecting effect evaluation and intelligent push decision method comprises a face identification technology is employed to obtain face feature data of the audience group, and the data is introduced into an advertisement injecting effect evaluation module as parameters, and is used for quantifying the advertisement injecting effect; furthermore, historical data is stored in a database, a data analysis system can carry out further analysis, the analysis result can be provided for the advertiser as an injecting decision reference, and can also be provided for the advertising agency who can carry out reasonable bidding and charging on the advertising position. At the same time, an FAEM matching algorithm is employed to match the advertisement played at present with audience face feature data at present, and advertisement push is carried out in dependence on the matching result. According to the invention, accurate evaluation of the advertisement injecting effect can be given out scientifically and objectively, and advertisements can be injected selectively and intelligently in dependence on audiences of the advertisements.

A terminal apparatus firstly transfers packets of a trial class. When the communication quality is insufficient, the terminal apparatus determines after a predetermined period of time whether or not to transfer the trail-class packets again according to a traffic rate of priority-class packets. There are provided a trial-class band capacity not to discard packets of the trial class and a priority-class band capacity not to discard packets of the priority class. Trial-class packets exceeding the former are discarded but the packets that has once become a priority class will not be discarded unless the latter is exceeded.

The invention provides a decision method and a control module facing to cloud computing virtual machine migration. The control module is composed of a migration trigger module, a virtual machine choosing module and a destination node choosing module. The method includes: firstly setting load threshold value of the system through the migration trigger module, and enabling the system to effectively prevent instant load peak value from triggering unnecessary virtual machine migration by utilizing the load forecast technology; enabling the virtual machine choosing module to choose the virtual machine needing migration according to the migration cost minimum strategy, and reducing the migration cost of the virtual machine to the minimum value to save system resources; and finally, enabling the destination node choosing module to provide the destination node choosing strategy based on weighting probability choosing algorithm. Therefore, the problem of aggregation collision caused by migration of a large number of virtual machines is effectively solved. At last, the decision method can well achieve load balancing and enables resources to be used fair and reasonably.

The invention relates to an airport surface flight dispatching auxiliary decision-making method and a system. the method comprises the following steps: the current airspace flow information, the node information and a taxi network and the information of all flights are acquired, and the inbound flight data and the departing flight data are obtained; the take-off time slot of the departing flight is obtained according to the airspace flow information, the inbound flight data and the departing flight data, and the take-off time slot forms a flight take-off sequence of the departing flight; according to the inbound flight data, the node information of the taxi network and the flight take-off sequence, the estimated time optimization model is adopted to generate the current estimated time sequence; whether the current estimated time sequence meets the take-off time slot of the departing flight or not at current time is judged; and the flight take-off sequence and the current estimated time sequence are output. The invention can output the flight take-off sequence and the estimated time sequence at real time, provides the flight dispatching decision-making scheme for the administrators and can effectively reduce the working load and the pressure of the administrators.

The invention provides a hospital decision-making aiding method based on symptom similarity analysis, belonging to the field of information analysis and decision-making aid. The method comprises the following steps: establishing a disease database, a symptom database, a department database and a correlating relationship; establishing a patient model for symptoms input by users, and calculating the similarity between the patient model and a disease model; and searching one department with corresponding suspected diseases in the department model to serve as hospital reference. The method has the advantages that an error interrupted result is weakened under a condition that a user takes an error symptom as a reasoning condition; a correct symptom participates in the reasoning operation by combining the correlating relationship between the error symptom and the convention symptoms according to the error symptom condition so as to realize the correctness and interruption resistance of reasoning; and a hospital department list is obtained by utilizing the mapping relationship between the disease and the department. The method can be used in electronic reception or health consulting systems, as well as in medical training or clinical reference.

The invention discloses a method for measuring and pre-warning a lane departure distance based on monocular vision, belonging to the technical field of computer imaging processing. The method comprises the following steps of: collecting a video image through a monocular video camera installed in the front of an automobile at first, completing the detection of a lane line after processing through an image processing technology, and extracting geometrical information of the lane line; obtaining vertical distances between the automobile and the lane lines at left and right sides by utilizing thethree-dimensional geometry transformation relation of a pinhole imaging principle; and establishing a departure pre-warning decision method according to the vertical distances measured in real time, and providing effective information for an intelligent assistant driving technology. According to the method disclosed by the invention, when the lane line is detected by utilizing Hough transform, a constraint condition is added, a part of virtual lane line is excluded, and the operation speed and the lane line detection accuracy are increased; simultaneously, the lane departure pre-warning can be realized only by utilizing image information; the measurement influence of a vehicle departure angle on the lane departure distance is low; furthermore, the solving operation speed is high owing to the use of the three-dimensional geometry transform method; and the requirements of the intelligent assistant driving technology can be satisfied.

According to a first aspect of the invention there is provided a method of decision-making comprising: a data input step to input data from a plurality of first data sources into a first data bank, analysing said input data by means of a first adaptive artificial neural network (ANN), the neural network including a plurality of layers having at least an input layer, one or more hidden layers and an output layer, each layer comprising a plurality of interconnected neurons, the number of hidden neurons utilised being adaptive, the ANN determining the most important input data and defining therefrom a second ANN, deriving from the second ANN a plurality of Type-1 fuzzy sets for each first data source representing the data source, combining the Type-1 fuzzy sets to create Footprint of Uncertainty (FOU) for type-2 fuzzy sets, modelling the group decision of the combined first data sources; inputting data from a second data source, and assigning an aggregate score thereto, comparing the assigned aggregate score with a fuzzy set representing the group decision, and producing a decision therefrom. A method employing a developed ANN as defined in Claim 1 and extracting data from said ANN, the data used to learn the parameters of a normal Fuzzy Logic System (FLS).

A transmission rate determining method that enables assignment of transmission rate (modulation scheme and coding rate) to be optimized with high accuracy in the AMC technique. In the method, in abase station, Doppler frequency detector 117 detects the Doppler frequency (moving speed) of each mobile station. MCS assignment section 125 corrects a relational expression of MCS (coding rate and modulation scheme) and CIR based on the Doppler frequency (moving speed) obtained in Doppler frequency detector 117, for example, corrects a threshold in CIR, and determines MCS optimal for CIR report value. Results of assignment in MCS assignment section 125 are output to coding section 101 and modulation section 103.

The invention provides an assisted decision making method for load transfer in a regional power grid. The method comprises the following steps: (1) setting a target power-off device; (2) performing statistics on load information; (3) analyzing a load transfer strategy; and (4) evaluating economic safety. In the method, remote signalling, remote measuring and power grid topology information existing in a dispatching automation system are utilized fully to fastly and exactly generate a load transfer scheme capable of meeting the requirement of economic and safe operation of the power grid, thereby preventing the situations such as load shedding or long-time power off, out-of-limit overload and the like from happening during the load transfer scheme.

A multi-attribute handover judging method for a heterogeneous vehicle communication network comprises the following steps: a handover management entity reads information on a candidate network in a field network report buffer entity, and the diameter of the coverage region of the candidate network is calculated; a mobility prediction information management entity acquires position information and speed information of a mobile user, and sends the position information and the speed information to the handover management entity; possible residence time and throughput capacity in each neighbor access network of the mobile user is estimated, when the throughput capacity during handover is higher than the throughput capacity in a normal state, the candidate network is added in an alternative list; an optimal target access network is determined to be switched into the network by the handover management entity via an analytic hierarchy process and according to service quality requirements; when the intensity of the current switch-in network signal is lowered to a threshold value, a handover execution instruction is sent to carry out handover. The multi-attribute handover judging method provided by the invention avoids unnecessary handover when a traveling vehicle passes through a region covered by heterogeneous access network, reduces handover delay and ensures the continuity of the communication.

Based on adjustment information on the adjustment unit under predetermined exposure conditions and information on the corresponding image-forming performance of the projection optical system, pattern correction information, information on a permissible range of the image-forming performance, and the like, a calculation step (steps 114 to 118) and a setting step (steps 120, 124, and 126) are repeatedly performed in the case an image-forming performance in at least one exposure apparatus is outside the permissible range under the target exposure conditions until the image-forming performance in all the exposure apparatus is within the permissible range. In the calculation step, an appropriate adjustment amount under target exposure conditions whose pattern is corrected is calculated for each exposure apparatus, and in the setting step, the correction information is set according to a predetermined criterion based on the image forming performance outside the permissible range, and when the image-forming performance in all the exposure apparatus is within the permissible range, the correction information that has been set is decided as the pattern correction information (step 138).

An appropriate indoor / outdoor decision is made for a mobile communication terminal in accordance with a purpose of selection of a positioning method or the like. A positioning server 10 is an indoor / outdoor decision apparatus for making an indoor / outdoor decision on whether a mobile communication terminal 20 is located indoors or outdoors, which has: a communication information acquiring unit 11 which acquires communication information about wireless communication at the mobile communication terminal 20; an environment information acquiring unit 12 which acquires environment information indicative of an environment associated with the mobile communication terminal 20; a criterion setting unit 13 which sets a criterion for the indoor / outdoor decision according to the environment information; and a deciding unit 14 which makes the indoor / outdoor decision with reference to the communication information on the basis of the set criterion.

The invention relates to a comprehensive energy-conservation evaluation and decision-making method for an urban and rural distribution network. In the method, current comprehensive data of a power grid by modeling the power grid; unified analysis processing and seamless exchange docking of distribution network data are realized by adopting reasonable fault tolerance and error correction technology so as to ensure the accuracy of comprehensive data information. An energy-conservation and loss reduction optimization management strategy of the urban and rural distribution network is researched by combining the costs of a line loss evaluation system and each link of loss reduction technology according to optimization technology.

The invention discloses a wide area information-based automatic standby power supply switching adaptive modeling, standby power supply overload optimal control strategy predetermining and automatic standby power supply switching model optimizing and controlling method. The method comprises the following steps of: performing automatic standby power supply switching adaptive modeling and establishing multi-valued mapping from a fault tripping power aggregate to an automatic standby power supply switching mode aggregate; predetermining a standby power supply overload optimal control strategy; optimizing an automatic standby power supply switching model; judging a regional fault; and performing online matching and control tracking of control strategies. In the method, modeling is performed under the running condition of a regional power grid, and charging and discharging conditions, starting conditions and automatic standby power supply switching logic of the wide area are automatically generated, so that the method adapts to the varying run mode and wide area automatic standby power supply switching; an overload load shedding control strategy and the automatic standby power supply switching model are optimized based on the predetermining method; the judgment of the regional fault coordinates the automatic standby power supply switching model action for multi-power fault tripping and avoids unplanned loop closing; the control strategy is matched and searched online; and by considering that a small power supply is matched with a stable control system and a protection device, after the standby power supply is switched into operation, safe and stable running of the system is guaranteed.

The invention discloses an automatic case decision method and system. The method comprises the following steps of: obtaining related data of a to-be-decided case; carrying out word segmentation and vectorization on the related data of the to-be-decided case so as to obtain a text vector of the to-be-decided case; vectorizing information in a pre-constructed prior knowledge base so as to obtain a prior knowledge vector; and inputting the prior knowledge vector and the text vector of the to-be-decided case into a pre-constructed case decision model, and obtaining a case decision result accordingto output of the case decision model. By utilizing the method and the system, the case decision efficiency can be improved, influences of subjective factors such as knowledge background of judicial officials and the like can be avoided, and the case decision fairness and authority can be improved.

A spectrum sensing method for cognitive radio to detect spectrum holes in an environment of bandwidth scarcity. The method comprises first receiving a wireless signal at a cognitive radio user, and then discovering the frequency edges of allocated frequency bands by using wavelet transform coefficients to detect discontinuities in the power spectral density of the received signal. After determining the allocated frequency bands, the method determines frequency band availability by detecting the in band energy using a bi-threshold energy detector, where the energy detector makes hard decisions and soft decisions. Finally, a fusion center combines hard and soft decisions collected from a cooperative spectrum sensing network of cognitive radio users and makes a final decision using a hybrid of data fusion and decision fusion to determine the final decision regarding spectrum availability.

The invention discloses and proposes a reservoir dispatching method based on multi-target shuffled frog leaping and differential algorithms. The reservoir dispatching method comprises the following steps of S11, acquiring basic information data of a reservoir; S12, building a multi-target optimal dispatching mathematic model considering constraint conditions of water balance, machine set output, discharged volume and generation power, wherein the target function is built based on maximum generation power, minimum water deficit, minimum surplus water and minimum output; S13, figuring out Pareto optimal solution of the multi-target optimal dispatching mathematic model by using the multi-target shuffled frog leaping and differential algorithms; and S14, automatically determining a reservoir optimal dispatching scheme by a multi-target decision method on the basis of the Pareto optimal solution. By the reservoir dispatching method, global optimization is achieved, the calculation efficiency is improved, and the requirement of automatically selecting the multi-target optimal dispatching scheme of the reservoir is met.

Different fast inter-frame mode decision methods applied to transcoding from H.264 to HEVC are adopted for coding units (CUs) of different HEVC depths respectively according to H.264 code stream information and prediction mode information of different depths of the HEVC inter-frame CUs. For CUs of which the depths are 0 and 1, information obtained by decoding an H.264 code stream is processed with a classifier, and decision threshold values used for Skip mode judgement and CU division respectively are calculated. First, Skip mode judgement of a CU is carried out in advance according to the Skip mode judgement threshold value, and then whether the CU is required to be divided into sub-CUs or not is predicted. The methods combine the statistical characteristic of CU division and distribution and the H.264 code stream information, so as to judge a Skip mode in advance, and effectively predict whether CU division is required to be stopped or continued. Therefore, a quadtree can be pruned effectively and unnecessary coding branches are skipped. The methods can remarkably lower the calculation complexity of inter-frame coding during transcoding from H.264 to HEVC.

The embodiment of the invention discloses a method for migration decision-making of a virtual machine, which comprises the following steps of: receiving a migration request from a source platform; determining a target platform according to the migration request; performing attribute inspection or integrity confirmation on the target platform so as to obtain a result of the attribute inspection or the integrity confirmation; and performing the migration decision-making according to the result of the attribute inspection or the integrity confirmation. The embodiment of the invention also provides a device and a system for the migration decision-making of the virtual machine. In the embodiment of the invention, the attribute inspection or the integrity confirmation of the target platform is performed before the migration of the virtual machine, so the safety and the reliability of the migration of the virtual machine are effectively ensured.