744 results about "Calculation algorithm" patented technology

Systems, methods, and machine-readable mediums are disclosed for administering loyalty programs. In one embodiment, the loyalty system comprises an interface to receive transaction information, the transaction information including a participant identifier identifying a participant in a loyalty program, and a rules data store including a reward rule having a reward calculation algorithm and an exclusion rule having at least one condition to exclude participants from accruing loyalty rewards based on one or more participant attributes. The system also includes logic to obtain the participant attributes, to evaluate the exclusion rule condition using the participant attributes, and if the participant is not excluded, to evaluate one or more conditions associated with the reward rule to determine whether to apply the reward calculation algorithm to the transaction.

Systems, devices, and methods are provided for marine navigation and course calculation for avoiding preselected conditions. An electronic marine navigation device with marine course calculation capabilities includes a processor connected to a memory that includes cartographic data. A potential waypoint can be identified and a marine route calculation algorithm can be preformed to calculate a course between a first location and the potential waypoint in view of preselected conditions. Performing the marine route calculation algorithm includes analyzing the cartographic data for the area between the first location and the potential waypoint with a preference for providing a course that avoids preselected conditions. A display is connected to the processor and is capable of displaying the calculated course and cartographic data. The device is also adapted to dynamically analyze an area surrounding the first location for preselected conditions and display the results of the analysis.

The invention relates to a GIS device state intelligent monitoring system and method based on the edge computing technology. The system includes a state sensor terminal, a data node device and an intelligent monitoring center, wherein the state sensor terminal is used for gathering collected state data to the data node device to perform power IoT edge calculation and is connected with the intelligent monitoring center through the transmission network, the condition monitoring sensor terminal is used for acquiring related state parameters in real time and receiving and performing limited edge calculation tasks, the data node device is used for collecting the data and receiving and performing the edge calculation tasks, and the intelligent monitoring center is used for performing equipment IoT management, intelligent evaluation analysis and advanced application for a GIS device state and configuring an optimized edge calculation algorithm model and an SG-CIM data model to the data node device. The system is advantaged in that a circuit breaker GIS equipment Internet of Things system of a substation is constructed, and the automation, informationization and intelligence level of equipment state evaluation and diagnosis can be improved.

The invention relates to an image retrieval method based on image classification and aims to solve the problem of lower retrieval speed by the conventional method. The method comprises the following steps of: firstly, determining the class number of images in the image classification and a training image set; secondly, extracting the content characteristics of the training image set for classifier training to obtain a classifier; thirdly, inputting an image to be retrieved, extracting the content characteristics of the image to be retrieved as the input of the classifier to obtain a retrieval image set which corresponds to the class, and extracting the content characteristics of each image in the retrieval image set; and finally, according to the obtained content characteristics, acquiring similarity distances of the image to be retrieved and each image in the retrieval image set by using a similarity calculation algorithm, sorting the distances to obtain N images which are nearest to the image to be retrieved, and outputting the N images. The image retrieval method based on the image classification has the advantage that: by combining an image classification technology and the conventional content-based image retrieval method, an image retrieval speed is greatly improved.

Described is a radiation dose calculation algorithm based upon the output of a radiation dosimeter including multiple sensor devices (including one or more passive integrating radiation sensors and optionally, a MEMS accelerometers, a wireless transmitters a GPS, a thermistor, or other chemical, biological or EMF sensors). The algorithm is used to convert the sensor output into dose values used to assess the exposure of personnel to ionizing radiation. Sensor output patterns are matched to stored empirically generated sensor outputs thru weighting and optimization calculation processes to determine personnel doses. Algorithm outputs can include personal dose equivalents, radiation types, radiation energy and radiation source identification. Dose calculations can be optimized for specific applications, and matched to different sets of measured data without changing the underlining software calculation programs.

Disclosed is a system and method for calculation a location in a real-time manner using a combination of odometry and artificial landmarks. The system for calculating a location comprising a landmark detection unit detecting an image coordinates value of the artificial landmark corresponding to a location in a two-dimensional image coordinate system with respect to a mobile robot from an image obtained by photographing a specific space where the artificial landmarks are provided; a landmark identification unit comparing a predicted image value of the artificial landmark, obtained by converting a location coordinates value of the artificial landmark into an image coordinates value corresponding to the location in the two-dimensional image coordinate system with respect to a location coordinates value corresponding to a location in an actual three-dimensional spatial coordinate system of the mobile robot, with an image coordinates value detected by the landmark detection unit to detect the location coordinates value of the artificial landmark; a first location calculation unit calculating a current location coordinates value of the mobile robot using a predetermined location calculation algorithm based on the image coordinates value detected by the landmark detection unit and the location coordinates value detected by the landmark identification unit; a second location calculation unit calculating a current location coordinates value of the mobile robot using a predetermined location calculation algorithm based on odometry information of the mobile robot; and a main control unit updating the current location coordinates value of the mobile robot, using the location coordinates value calculated by the first location calculation unit when the location coordinates value calculated by the first location calculation unit exists, or using the location coordinate value obtained from the second location calculation unit when the location coordinates value calculated by the first location calculation unit does not exist.

The invention relates to a fixed type automatic volume measurement system and a measuring method of the fixed type automatic volume measurement system. The fixed type automatic volume measurement system is an automated measurement and calculation system based on multi-sensor integration. According to the system, multiple sensors are mainly used for synchronous control of a collector, a control tag reader and a high-speed laser scanner, and are in synchronous communication with an industrial personal computer to achieve data collection. Collected data are processed primarily by a controller to filter invalid data and transmitted to the industrial personal computer rapidly after being marked in a real-time mode with timing marks. A three-dimensional coordinate is computed through calculation processing software running in the industrial personal computer and by aid of the three-dimensional coordinate computational algorithm, vehicle-mounted material stack body modeling is carried out by combining the three-dimensional modeling algorithm, and then the volume of vehicle-mounted materials to be measured is calculated. Therefore, the fixed type automatic volume measurement system and the measuring method of the fixed type automatic volume measurement system have the advantages that a traditional method that a material transport vehicle is guarded all day long and recorded manually is replaced by a method that the material transport vehicle can be identified quickly and automatically, the volume of the vehicle-mounted materials can be measured quickly and accurately, and the material transport vehicle and the materials can be managed effectively.

The invention relates to a Chinese short text clustering method, and in particular relates to a Chinese short text clustering method based on word vectors and similarity calculation thereof. The Chinese short text clustering method comprises the following specific steps of: obtaining needed word vectors by utilizing a Word2Vec word vector training model; obtaining weights of all words in a short text set by utilizing a word weight calculation algorithm; according to the word vectors and the weights of all the words, calculating the similarity value between every two texts in the short text set through a short text similarity algorithm; and, according to the similarity value between every two texts in the short text set, clustering short texts. The invention provides a carrying optimization type short text similarity calculation method; the problems of sparse short text grammar characteristics, semantic loss and the like can be solved; on the basis of a graph model, the weights of the words are continuously calculated iteratively, so that the sentence similarity calculation accuracy is increased; and, a density peak clustering method is applied in short text clustering, so that the efficiency of the clustering method is effectively increased.

An automated method of determining a measure of a subject's heart age comprising the steps of: prompting a user for a plurality of inputs, each relating to an attribute of the subject, each attribute defining one or more of a demographic status of the subject, a lifestyle status of the subject, a physical condition of the subject and a medical history of the subject; receiving, from the user, a plurality of said inputs; determining from said received inputs, a set of parameters for which input data has been received as input from the user; selecting a heart age calculation algorithm from a predetermined set of heart age calculation algorithms according to said set of parameters; and calculating a heart age for the subject according to the selected algorithm; and providing as output said calculated heart age.

The invention relates to an interdynamic information sensing method of handset game and intelligent game platform externally-connected with said handset, belonging to the field of handset technology. The described interdynamic information sensing method of handset game utilizes sensing technique and adopts the attibute and speed calculation algorithm to induce attitude and movement of handset self-body, and simulates actual condition according to the information provided by every sensor and emulates relative movement of body on the handset screen so as to implement game. The intelligent game platform, externally-connected with handset includes magnetometer, accelerometer, gyro, signal detection module, intelligent game platform microcontroller, memory and power supply, etc.

The invention provides a binocular vision-based target attitude calculation method, which comprises the steps of (1) collecting multiple groups of images through left and right cameras and completing calibration of the left and right cameras; (2) carrying out correcting and filtering processing on the images collected by the left and right cameras; (3) extracting a target from the images obtained in the step (2), processing to obtain a target contour and a coordinate position of the target in the image; (4) dividing a picture comprising the target from the image in the step (2), extracting feature points in the divided picture and correcting coordinates of the feature points through the position information of the target obtained in the step (3) in the image; (5) selecting the optimal feature point according to the dispersion degree of the feature points; and (6) calculating the target attitude by using the optimal feature point. According to the method, the binocular vision-based feature point coordinate calculation accuracy can be improved, and the feature point matching precision can be improved and the robustness and the stability of an attitude calculation algorithm can be improved.

The invention discloses a pedestrian autonomous navigation calculation algorithm based on an MEMS-IMU. Two IMU systems are simultaneously and fixedly connected with the two feet of the user of a pedestrian navigation system; the two systems respectively perform a strapdown inertial navigation calculation algorithm and a zero-speed correcting algorithm on the basis of Kalman filtering, and then the positioning information of the two feet is fused; when the calculation distance between two feet exceeds the largest step size gamma between the two feet, inequality constraint is performed on navigation results of two IMUs by adopting a state constraint Kalman filtering algorithm, so that vague human physiological property problem is converted into a rigid mathematical problem, the optimal estimation of navigation results is achieved, and pedestrian navigational positioning function with higher accuracy is achieved.

The invention relates to an interdynamic information sensing method of handset game and intelligent game platform embedded in handset, belonging to the field of handset technology. The described interdynamic information sensing method of handset game utilizes sensing technique and adopts the attitute and speed calculation algorithm to induce attitute and movement of handset self-body, and simulates actual condition according to the information provided by every sensor and emulates relative movement of body on the handset screen so as to implement game. The intelligent game platform embedded in handset provided by said invention includes magnetometer, accelerometer, gyro, signal detection module, intelligent game platform microcontroller and power supply management, etc.

The invention relates to a TMIS traffic flow determination method and system based on cloud computing. The TMIS traffic flow determination method comprises the steps of (1) constructing a distributed storage resource pool on the basis of a cloud platform, collecting and storing monitoring data related to traffic flow calculation through a TMIS, (2) preprocessing the collected monitoring data through a concurrent processing framework, (3) writing a traffic flow calculation algorithm under the concurrent processing framework, utilizing static data for calculating the result of long-term traffic flow calculation, (4) utilizing the static data and dynamic data under the distributed environment for calculating the result of real-time traffic flow calculation corresponding to each station, and (5) providing a traffic flow calculation inquiry service externally through the cloud platform. The TMIS traffic flow determination system comprises a collecting layer, a storage layer, an engine layer, a service layer and a web service layer. According to the TMIS traffic flow determination method and system based on cloud computing, the cloud platform is utilized for obtaining various data required by traffic flow calculation in the TMIS, the concurrent computation is utilized for rapid data processing, and long-term and real-time traffic flow calculation and determination of railway transportation can be achieved.

The present invention discloses a voting based classification method for cross-language subjective and objectives sentiments. The method comprises the following steps of: S1, constructing a target language sentiment dictionary according to a source language sentiment dictionary; S2, separately adopting three algorithms of a rule algorithm, a combination algorithm of machine translation and statistical machine learning, and a polarity eigenvalue calculation algorithm to extract words from a sentence of a to-be-tagged text, determining sentiment polarity of the words according to the constructed target language sentiment dictionary, and further determining subjective and objective nature of the sentence; and S3, acquiring subjective and objective nature determination results of the sentence, obtained according to the three algorithms, and determining the subjective and objective nature of the sentence by voting. The method can fully consider contexts and usage habits of a target language on the premise of keeping certain accuracy, effectively solves the problem that a tagged corpus of the target language is scarce, and further improves classification accuracy on the premise of ensuring the recall rate.

The invention relates to a method and system for hybrid positioning on the basis of multi-mode signals. The system comprises a host machine and two servers. The host machine is composed of a micro-programmed control unit (MCU), positioning communication modules (comprise global positioning system (GPS) positioning communication modules, wireless fidelity (WIFI) positioning communication modules, global system for mobile communication (GSM) positioning communication modules and communication module antenna systems), a GSM/GPRS module, a human-computer interaction interface and a power supply management module. The two servers are a positioning information processing server and a geographic information processing server respectively. When the positioning system is operated, positioning signal data acquired by the positioning communication modules are sent to the two servers to be analyzed, and positioning data are corrected by adopting a weight calculation algorithm. Positioning time for the first time after cold starting of the positioning system can be shortened to within 15 seconds, indoor or outdoor positioning position is accurate to within 10 meters, simultaneously operation environment of a general positioning system is expanded, and indoor and outdoor all-region coverage is achieved.

The invention relates to a reinforced learning-based urban rail transit ground type super-capacitor energy storage system energy management method. The method comprises two parts which are policy network initialization and online learning. The policy network initialization is to build a multi-vehicle operation scene model by using known line and vehicle information, a pre-compiled train working diagram and practically collected historical vehicle data in urban rail transit, and combine the multi-vehicle operation scene model, a no-load voltage prediction model, a direct current supply load flow calculation algorithm and an approximate dynamic programming algorithm to obtain a policy network which serves as an initial value of an online learning module; the online learning module employs amodel-free reinforced learning algorithm and performs charging and discharging threshold value online adjustment through a super-capacitor intelligent agent trial and error method. The method can perform online learning on super-capacitor energy storage system control policies in urban rail traction power networks, thereby optimizing an energy-saving effect and a voltage stabilizing effect.

An automated energy consulting system and method is provided comprising an interactive input system linked to calculation algorithms and databases of energy-related products and services, affiliated service providers, and climate, financing and regulatory criteria. The system generates proposals of available energy-related products, services and financing options, and obtains and aggregates customer commitments to allow discounted purchasing of the components. Customers can earn referral commissions to encourage customers and volunteers to virally disseminate the access information. For customers not eligible for beneficial products and services because of regulatory deficiencies, the system automates the customer education process to encourage them to advocate politically for the changes that will make them eligible. The automation of the energy consulting and marketing process, mass customization, demand aggregation, and viral marketing reduce customer acquisition and component purchasing costs and reduce the price to consumers, creating new economically viable markets for environmentally friendly energy-related products and services.

The invention relates to an automation storage yard laser measurement device and an application method thereof. In the invention, data acquisition can be realized by using a synchronous control collector which controls a plurality of sensors, a high speed laser scanner, a horizontal displacement sensor, a horizontal rotation sensor, a vertical displacement sensor and a video sensor. The collected data is preliminarily processed by a controller. The completely ineffective data is filtered. And after GPS module time service marking is used, the data is transmitted to a background server through an integrated 3G wireless communication module. Through upper computer software, a three dimensional coordinate calculation algorithm is used to calculate a three dimensional coordinate. A three dimensional modeling algorithm is used to carry out modeling. And then a material volume to be measured can be calculated. For a problem that working time sequences of the sensors are inconsistent, an annular buffer area technology is used to realize asynchronous data acquisition and storage. A dynamic interconnection problem of the 3G router equipment can be solved. A feasible scheme is provided for remote wireless control and implementation costs can be saved.