58 results about "Baseline system" patented technology

Systems and methods to define and store performance baselines. A baseline may be defined as a pair of snapshots, each snapshot containing the same set of statistics and having a timestamp value associated therewith. The present invention allows for the designation, automatically or manually, of statistics collected over a certain period of time to be stored and used for comparison. Baselines may be used, for example, to manually or automatically compare with current system performance, compare difference-difference values and set thresholds to monitor current system performance.

A portfolio benchmarking system comprises a repository of trade data, a repository of consumer data, a build computer, and a benchmarking query application. The repository of trade data comprises a plurality of data items regarding trade lines. The repository of consumer data comprises a plurality of data items regarding consumers, wherein at least some information in the consumer data is not in the trade data and at least some information in the trade data is not in the consumer data. The build computer periodically generates at least one data file comprising a plurality of data items, each data item combining information from the trade data and the consumer data, such that searches can be performed on the combined data without joining trade data and consumer data at query run time. The benchmarking query application executes queries on the data file generated by the build computer.

A system and method for predicting price fluctuations in financial markets. Our approach utilizes both market history and public news articles, published before the beginning of trading each day, to produce a set of recommended investment actions. We empirically show that these markets are surprisingly predictable, even by purely market-historical techniques. Furthermore, analyzing relevant news articles captures information features independent of the markets history, and combining the two methods significantly improves results. Capturing usable features from news articles requires some linguistic sophistication the standard naïve bag-f-words approach does not yield predictive features. Instead, we use part-of-speech tagging, dependency parsing and semantic role labeling to generate features that improve system accuracy. We evaluate our system on eight political prediction markets from 2004 and show that we can make effective investment decisions based on our systems predictions, whose profits greatly exceed those generated by a baseline system.

A system for testing computer software is provided that comprises a client module having a first interface to promote communication with software to be tested, the client module having instructions operable to test the software, an agent module operable on a first computer system to initiate the client module on the first computer system, a user interface adapted to receive input including test information, and a manager module coupled to the receive the input from the user interface and generate at least a portion of the instructions of the client module using a portion of the test information, the manager module operable to communicate the portion of the test instructions and the first interface to the first computer and further operable to communicate with the agent module to initiate the client module to test the software. A method for testing software is also provided.

A system for evaluating radiation treatment planning generates a fictitious treatment dose matrix with a quality of dose placement beyond that achievable with physically realizable radiation therapy machines. Such a fictitious treatment dose matrix provides an objective measure that is readily tailored to different clinical situations, and although unattainable, thereby provides a benchmark allowing evaluation of radiation plan goals and the radiation plans between different multiple clinical situations and individuals.

The invention provides a voiceprint authentication processing method and apparatus. The method comprises steps of extracting the first characteristic vector of each voice in a training set by using a gender-mixing deep neural network (DNN) voiceprint baseline system; training a gender classifier according to the first characteristic vector of each voice and pre-marked gender labels; training DNN models of different genders according to the voice data of different genders in the training set; and training unified background models, characteristic vector extraction model, and probability linear discriminant analysis models of different genders according to the DNN models of different genders and the voice data of different genders in the training set. The method and the apparatus establish a voiceprint authentication processing model capable of distinguishing genders in order to increase voiceprint authentication efficiency and accuracy.

The application discloses a security baseline system and a method thereof for implementing security checks. Included are that a vulnerability information acquisition unit obtains vulnerability information actively; a linkage processing unit determines a target device based on the obtained vulnerability information, and generates checking information; and a security check unit conducts security checks for the target device based on the generated checking information. According to the application, through the active approach, the security baseline system and the method thereof for implementing the security checks obtain newly discovered vulnerability information positively in an active manner, adapt to the internet field full of such changes, and therefore achieve real-time response to newly discovered vulnerability. Further, by following the customized request of a user, the security baseline system and the method thereof for implementing the security checks establish a user security baseline library, allow the user to customize security rules to conduct security checks for the system, and thus meet the demand that the security checks can be customized.

Systems and methods for minimizing extraneous forces and calculating corrected weights of samples based on buoyancy factors for a thermogravimetric analyzer (TGA). The TGA includes a balance chamber and a furnace configured to heat a sample. A null balance is provided in the balance chamber and is used to measure the sample weight change during heating. The furnace includes a cylinder open at the top to receive a sample. The bottom of the cylinder is closed except for a small hole that allows a thermocouple to pass through. An infrared heat source may be provided to heat the cylinder. The balance chamber can be thermally isolated from the furnace using an actively cooled plate and a system of heat shields disposed between the furnace and balance chamber. A thermocouple disk is further provided to limit gas flow in the furnace and increase reliability of sample weight measurements.

An energy baselining system is provided that performs validation, estimation, and editing (VEE). The system includes a facility model processor, a post VEE readings data stores, a VEE configuration engine, and a global model module. The facility model processor is configured to employ one or more interval based energy consumption streams corresponding to a facility to develop and maintain weather-normalized baseline energy consumption data for the facility, where the weather-normalized baseline energy consumption data is derived from training data for the facility. The post VEE readings data stores is configured to provide a plurality of tagged energy consumption data sets that are each associated with a corresponding one of the one or more interval based energy consumption streams, each of the plurality of tagged energy consumption data sets comprising first groups of contiguous interval values tagged as having been validated and second groups of contiguous interval values tagged as having been edited. The VEE configuration engine is configured to read the post VEE readings data stores upon initiation of an event and, for the each of the plurality of tagged energy consumption data sets, is configured to create a plurality of anomalies having a plurality of different durations using only the first groups of contiguous interval values, and is configured to generate a plurality of estimates for the plurality of anomalies by employing a plurality of estimation techniques and, for each of the plurality of different durations, is configured to select one of the plurality of estimation techniques for subsequent employment when performing VEE of subsequent energy consumption data for the corresponding one of the one or more interval based energy consumption streams. The global model module is configured to receive the weather-normalized baseline energy consumption data and post VEE readings data, and is configured to generate and display comparisons of the weather-normalized baseline energy consumption data with the post VEE readings data.

Systems and methods for minimizing extraneous forces and calculating corrected weights of samples based on buoyancy factors for a thermogravimetric analyzer (TGA). The TGA includes a balance chamber and a furnace configured to heat a sample. A null balance is provided in the balance chamber and is used to measure the sample weight change during heating. The furnace includes a cylinder open at the top to receive a sample. The bottom of the cylinder is closed except for a small hole that allows a thermocouple to pass through. An infrared heat source may be provided to heat the cylinder. The balance chamber can be thermally isolated from the furnace using an actively cooled plate and a system of heat shields disposed between the furnace and balance chamber. A thermocouple disk is further provided to limit gas flow in the furnace and increase reliability of sample weight measurements.

The present invention discloses a method for correcting the time-difference of a multiple-constellation SBAS system, and the method comprises the following steps: a step1, confirming a reference time system, confirming the number of the system time-difference required calculating by the SBAS according to the number of satellite navigation system; a step2, calculating the system time-difference between different satellite navigation system and the reference system; a step3, establishing a time-difference model of the multiple-constellation SBAS system and confirming the broadcast parameter; and a step 4, calculating the wholeness information of the system time-difference. The invention can settle the problem of time-difference resolving of the multiple-constellation SBAS system, and provide a broadcast parameter of the system time-difference and a method for calculating the wholeness information of the system time-difference.

The invention relates to an English-Burmese bilingual parallel sentence pair extraction method and device based on BiLSTM-CNN, and belongs to the technical field of natural language processing. The method comprises the following steps: firstly, pre-training a bilingual word vector through a Muse tool; secondly, performing function marking on the sentence by utilizing the characteristics of the Burmese virtual words and the Burmese assistant words for identifying the subject-called guest of the Burmese, splicing syntactic structure information of each word into a word vector, encoding the sentence by using BiLSTM-CNN, and taking an output probability as a condition for measuring whether the sentence is a parallel sentence pair or not. According to the above steps, the BiLSTM-CNN-based British-Burmese bilingual parallel sentence pair extraction device is prepared through functional modularization. Compared with a traditional bilingual parallel sentence pair recognition system, the methodand the device are simpler. Experimental results show that the method and the device are superior to a baseline system in the aspects of accuracy, recall rate and other indexes. The accuracy is generally improved.

A system and method for generating statistical reports showing distribution, variance, outliers and trends for parameters across a set of computer systems is provided. The reports are generated based on audited data for each system that pertains to the parameters. A distribution report assesses the uniformity of the parameters of a population of systems and provides frequency distributions and statistics describing the data values from the analyzed systems. A variance report assesses the conformity of one or more target systems against a reference data set comprised of a set of baseline systems. The report compares each target system individually against the reference data set to measure the consistency of the target's parameters. A trend report shows trends in the uniformity and conformity measures of the parameters by comparing the statistical analysis results of sets of systems at two or more points in time or the different systems at the same time.

A system and method for generating statistical reports showing distribution, variance, outliers and trends for parameters across a set of computer systems is provided. The reports are generated based on audited data for each system that pertains to the parameters. A distribution report assesses the uniformity of the parameters of a population of systems and provides frequency distributions and statistics describing the data values from the analyzed systems. A variance report assesses the conformity of one or more target systems against a reference data set comprised of a set of baseline systems. The report compares each target system individually against the reference data set to measure the consistency of the target's parameters. A trend report shows trends in the uniformity and conformity measures of the parameters by comparing the statistical analysis results of sets of systems at two or more points in time or the different systems at the same time.

The invention provides a multidimensional voice message identification system based on a progressive neural network and a method thereof. Based on a baseline system, a progressive neural network is introduced. The baseline system takes i-vector, which is a feature vector, as an input, wherein the vector includes three SNN identification models for gender identification, emotional information identification and identity information identification. On the basis of gender identification, the progressive neural network combines the SNN identification model for gender-related emotional informationidentification with the SNN identification model for gender-related identity information identification, and the information migrates to each other to construct an identification system.

The invention relates to a medical real time three dimensional positioning tracking system and method; the medical real time three dimensional positioning tracking system comprises a ultrasonic probe positioning system, a space positioning system, a reference system, a real time three dimensional display system and a magnetic field system; the ultrasonic probe positioning system is coupled on an ultrasonic probe; the space positioning system is arranged in front and back, top and bottom, and left and right sides of a patient inspection position; the reference system is arranged in a patient inspection position accessory magnetic field; the real time three dimensional display system is built in an ultrasonic inspection system; the magnetic field system is arranged under a bed of the patient inspection position or close to the inspection position; the advantages are that the medical real time three dimensional positioning tracking system can respectively position the ultrasonic probe used for inspecting a focus and position the focus located space environment, thus accurately position the focus, preventing interference brought by ultrasonic image positioning in a conventional mode, improving doctor working efficiency, and mitigating patient mental burdens; the medical real time three dimensional positioning tracking system and method can be specially used in the clinic, especially the ultrasonic detection focus field, thus providing wide application prospect.

An apparatus for determining and using correlative thermal efficiency impacts to distribute workloads includes a baseline module, a deviation module, and a transfer module. The baseline module determines a baseline system thermal efficiency of a plurality of servers based on a utilization level of the plurality of servers, the baseline system thermal efficiency including a baseline thermal efficiency of a first server of the plurality of servers. The deviation module determines a deviation in a thermal efficiency from the baseline thermal efficiency of the first server of the plurality of servers based on a new workload assigned to the first server of the plurality of servers. The transfer module transfers the new workload to a second server of the plurality of servers in response to the deviation being above a deviation threshold.

The invention discloses a photoelectronic imaging system optical axis difference rapid detection method and device. The method comprises the steps that a tested photoelectronic imaging system and a standard imaging system are used for acquiring images at the same time, any obvious feature target in the standard imaging system serves as the standard, a target image contour edge extraction and feature matching method is used for analyzing the difference of the same obvious feature target in the tested photoelectronic imaging system and the standard imaging system, and the difference of the aiming light of the tested photoelectronic imaging system is obtained. The device is used for implementing the method. The photoelectronic imaging system optical axis difference rapid detection method and device have the advantages that the principle is simple, operation is convenient, calibration accuracy is high, and calibration efficiency is high.

The invention discloses a large dynamic range baseline measuring method based on dual-optical comb ranging. A large dynamic range baseline measuring system based on the dual-optical comb ranging comprises a first femtosecond optical comb GS1, a second femtosecond optical comb GS2, a first spectroscope BS1, a second spectroscope BS2, a third spectroscope BS3, a tracking rotating mirror ZJ, a CCD, areference arm target KJZ, a measuring arm target LJZ, a first photoelectric receiving system, a second photoelectric receiving system, a third photoelectric receiving system, a fourth photoelectric receiving system and a fifth photoelectric receiving system. According to the large dynamic range baseline measuring method based on the dual-optical comb ranging, a dual-optical comb ranging principleand light spot tracking links are introduced into a long baseline system with a certain maneuvering range, and high-precision synchronous measurement of the baseline distance and six degrees of freedom of angles is realized.

A field adjustable mattress system / method allowing a baseline mattress configuration to be ergonomically modified after initial installation is disclosed. The baseline system generally consists of an optional bottom mattress support (BMS) connected to a bottom mattress cover (BMC) that partially envelops a static mattress core (SMC) from the bottom. A top mattress cover (TMC) completes the encapsulation of the foam mattress core and is attached to the BMC using top / bottom mattress cover zippers (MCZ). Field adjustment of the mattress system is accomplished by inserting one or more mattress adjustment layers (MAL) between the top of the SMC and the TMC and inserting an adjustment border panel (ABP) via the MCZ between the TMC and the BMC. The MAL may comprise one or more layers and may be inserted using horizontally and / or split configurations to permit a variety of ergonomic combinations to be supported in a single mattress system.

The invention relates to an application-oriented relative efficiency evaluation method. In order to facilitate comparison between systems, a reference system is introduced to calculate relative efficiency between each system and the reference system, thereby comparing the systems conveniently. In the technical scheme of the invention, general factors of various fields are extracted and abstract expression of relative factors of field characteristics is carried out; efficiency and cost are respectively refined; and a relative efficiency evaluating index with a certain abstract parameter is defined. Specific definition is then given to the abstract parameter according to the efficiency index of a specific field. When the method is combined with the specific field, the common evaluation method is refined, so that the specific definitions of the parameters are easier to be described and quantitative measurement is easier to be realized; therefore, the problem of inconsistent parameter dimensions is excellently resolved. Specific definitions are given to certain parameters according to the characteristics of the different fields. The technical scheme of the invention has comparability between systems, thereby facilitating selection of a user to systems and facilitating providers to improve the systems according to the evaluation method.

The invention relates to a data migration speed adjustment method and device, a storage medium and a mobile terminal, to solve the technical problem of adjusting data migration speed and low operationand maintenance efficiency depending on manual setting in the related art. The method comprises the following steps: adjusting an initial sub-task size or a preset sub-task processing amount of a data migration task according to a reference system index and a target system index of a system so as to obtain a target migration speed for executing the data migration task; monitoring a real-time system index of the system in a first operation time period in the process of executing the data migration task at the target migration speed; and adjusting the target migration speed according to the difference degree between the real-time system index and the target system index, and obtaining the adjusted target migration speed. The migration speed can be dynamically adjusted in the data migrationprocess according to the system index, and the accuracy and the operation and maintenance efficiency of migration speed adjustment are improved.

This invention relates to a method and device for case-based decision support. It proposes that a case-based decision support system is trained on inputs from several radiologists in order to have a “baseline” system, and then the system provides an option to a radiologist to refine the baseline system based on his / her inputs which either refine weights of features for similarity distance computation directly or provide new similarity ground truth clusters. By enabling modifying the similarity distance computation based on user inputs, this invention adapts similarity ground truth to different users with different experience and / or different opinions.

The invention, which belongs to the technical field of avionics display controlling, relates to a ground velocity measurement method based on an instrument landing system. According to vertical acceleration outputted by an attitude heading reference system, an aircraft height outputted by an air data computer / radio altimeter, and an airport altitude outputted by an aircraft management system, a vertical speed of the aircraft is calculated by complementary filtering; on the basis of a geometrical relationship, a ground velocity based on an instrument landing system is calculated; and then the ground velocity is filtered by using the acceleration along a runway direction to obtain a smooth available ground velocity. According to the ground velocity measurement method based on an instrument landing system, while the ground velocity that can not be outputted by the attitude heading reference system is calculated by using the vertical acceleration, the aircraft height, the airport height, the glide slope offset, and the reference glide slope angle comprehensively, noises caused by the glide slope offset are suppressed by acceleration complementary filtering, so that the obtained groundvelocity is smooth and has high integrity; and high-safety application like head-up flight guidance is supported.

The invention relates to a speaker recognition method under linear transformation of an identity vector x-vector. The method comprises the main steps that feature extraction is carried out on speech,and the identity vector x-vector and identity vector i-vector of the speech are extracted respectively; parallel factor analyzer training is carried out by using the x-vector and i-vector of a same speaker; a parameter corresponding to the x-vector in a parallel factor analyzer is selected, and on the basis of the parameter, linear transformation is carried out on the identity vector x-vector to obtain an xl-vector; the new identity vector xl-vector is trained to obtain a PLD model; feature extraction and x-vector extraction are carried out on the to-be-tested speech, the identity vector x-vector is input into a linear transducer obtained in the training stage to obtain the new identity vector xl-vector, and finally, the identity vector xl-vector is input into the PLD model obtained in thetraining stage, thereby obtaining a final result. The speaker recognition method under the linear transformation of the identity vector x-vector has the advantages of improving the recognition performance of speaker recognition while ensuring that the memory requirements and computing speed are similar to those of a baseline system.

Detecting the occurrence of loss of effective lubrication in high-speed machinery components is provided. The imminent catastrophic failure may be predicted when torque or power transfer is lost. An estimate of when failure will likely occur throughout the operation of the machinery may be determined as well as the damage state after the liquid lubrication supply has ended or becomes inadequate to lubricate the machinery components effectively. By monitoring the concentration of gas species and the rate of change in concentration of the gas in the gearbox or machinery enclosure after the supply of the primary lubricant ends, determinations may be made about the time to failure and the damage state. The determinations may be based on thermomechanical and chemical processes, on measurement of a baseline system, or by setting a threshold of expected change in gas concentration. These determinations may be transmitted for further decision making and response.

The invention discloses a neural machine translation decoding acceleration method based on a discrete attention mechanism, and the method comprises the steps: constructing a neural machine translationmodel for training a parallel corpus and based on an attention mechanism; generating a machine translation word list through the parallel corpus; carrying out the further training to obtain a model parameter after training convergence, and enabling the model parameter to serve as a baseline system; converting partial parameters of the attention mechanism in the network into integer values by scaling the model parameter values, and mapping floating-point numbers into the integer section of the integer values; replacing the normalized part which cannot be subjected to integer calculation with alinear structure which is beneficial to integer calculation; controlling whether all numerical values participate in operation or not through a threshold value before the linear structure; and adjusting the selected threshold value on 1%-2% of data randomly extracted from the training data, so that a better translation result can be achieved. According to the method, the real-time corresponding speed can be improved on the basis of the latest implementation of rapid reasoning and on the premise that the model performance is hardly reduced.

The invention discloses a six-degree-of-freedom high-precision baseline measurement system and method based on femtosecond optical combs. The six-degree-of-freedom high-precision baseline measurementsystem comprises the first femtosecond optical comb, the second femtosecond optical comb, a Michelson interference system, a third spectroscope BS3, a third optical grating G3, a fourth optical grating G4, a CCD, a first photoelectric detector PD1, a second photoelectric receiving system, a third photoelectric receiving system, a fourth photoelectric receiving system and a fifth photoelectric receiving system. Absolute distance measurement of the long baseline system is achieved, and the difficult problem that as for a traditional ranging technology, wide range and high precision ranging is difficult to achieve simultaneously is effectively solved.