2143 results about "Evaluation data" patented technology

A method and system for monitoring an entity within a process plant includes collecting entity status data pertaining to the status of an entity within the process plant collecting criticality data pertaining to the importance of the entity within the process plant, and using the entity status data and the criticality data to perform a function within the process plant.

The invention relates to a taxi intelligent comprehensive supervision and service system which comprises a taxi vehicle intelligent service system and a taxi comprehensive supervision service and operation analysis system. The taxi vehicle intelligent service system is connected with the taxi comprehensive supervision service and operation analysis system through a wireless network and sends on and off duty signing data of a driver, operation detail data, service evaluation data, passenger volume investigation and statistics data and alarm data to the taxi comprehensive supervision service and operation analysis system in real time; and the taxi comprehensive supervision service and operation analysis system receives and carries out mining analysis on the data and sends terminal control data, driver service quality star-level data, dynamic check data and public information data to the taxi vehicle intelligent service system, therefore, the invention can enhance the scientificity of industry management and decision and strengthen the supervision of a taxi industry, thereby enhancing the service level and the passenger satisfaction of the taxi industry.

The invention discloses an interactive virtual teacher system having an intelligent error correction function, which is designed for solving the technical problem that the conventional man-machine interaction teaching is limited to speech synthesis information and spoken language evaluation and cannot satisfy the need for intelligent error collection interaction in learning and communication. Thesystem comprises an audio and video data acquisition module, an information identification module, an error correction evaluation module, a teaching policy module and other modules. An audio sensor and a video sensor acquire the face images and voice signals of learners; the information identifies fused mouth shapes, pronunciation and emotion of the learners; the error collection evaluation module automatically evaluates the pronunciation mouth shapes of the learners and detects the differences between pronunciation mouth shape data and standard data stored in a standard pronunciation mouth shape databases, automatically selects a proper time to show the reasons of incorrect pronunciation and correction means and provides a correct pronunciation mouth shape and animated demonstration; andthe teaching policy module makes a teach-student one-by-one interactive personalized teaching implementation solutions according to evaluation data and emotion states. In the invention, real-time communication and animated demonstration are realized by fusing voice and emotion multi-source information and by intelligent error correction and simulation by video interaction with a virtual teacher. Thus, the accuracy of pronunciation teaching is improved.

A pattern identification unit generation method of generating a pattern identification unit in which a weak discriminator array obtained by cascade-connecting a plurality of weak discriminators branches, and weak discriminator arrays are connected to respective arms after branching, evaluates based on a processing result obtained by inputting a set of evaluation data to the weak discriminator array whether or not a weak discriminator array after branching reaches the number of stages to be connected. The number of stages of weak discriminators to be connected without branching as the weak discriminator array is determined based on this evaluation result.

An intellectual property right is listed at an appropriate price by monitoring an initial price set by a broker, and circulation of the intellectual property right is promoted. A Web site references a database including a right situation of a right to be sold and evaluation data used to evaluate the right, determines the value evaluation price of the right to be sold, acquires a listing initial price to be input according to the value evaluation price determined here, and invalidates the initial price if the initial value exceeds a predetermined upper limit price. Here, the predetermined upper limit price is calculated by α×(1+γ) wherein α is a value evaluation price to be calculated and γ is a coefficient in a range of 0<γ<1.

The invention provides a quantitative estimation method of a lithium ion power battery internal short-circuit degree, and the quantitative estimation method belongs to the technical field of batteries. The invention provides the estimation method based on a battery electrochemical model, which identifies model parameters by adopting an optimization method, and through establishing an internal short-circuit equivalent circuit model and utilizing variations of half-cell voltage along with the state of charge (SOC) and a discharge voltage curve of an internal short-circuit battery, thereby acquiring an estimated value of internal short-circuit resistance. The quantitative estimation method has good repeatability, high adaptability, can be used for evaluating the internal short-circuit degree of the battery with triggered internal short-circuit, and can complete the estimation of magnitude of the internal short-circuit resistance in different battery operating states. The quantitative estimation method provides valid internal short-circuit evaluation data for an internal short-circuit early detection algorithm, and has important practical significance.

A method for reducing repetitive false alarm indications in a vehicle impact detection system for a host vehicle includes generating false alarm positional information corresponding to a detected object determined to be a false alarm. The false alarm is determined subsequent to an issued warning to a driver, and the false alarm positional information is stored in a database. The false alarm positional information in the database is further evaluated to determine, based on predefined removal criteria, whether any of the false alarm positional information in the database is to be removed therefrom. The false alarm positional information remaining in the database is used to inhibit the issuance of a warning to a driver of the host vehicle.

A horizontal evaluation data generation section calculates an average value of pixel signals in a vertical optical black region based on given pixel data in the horizontal optical black region and outputs the calculated average value to an evaluation section. A vertical evaluation data generation section calculates an average value of pixel signals in a vertical optical black region based on given pixel data in the vertical optical black region and outputs the calculated average value to the evaluation section. The evaluation section outputs a gain value according to the difference between the two sent average values to a computing section. A smear information memory stores pixel signals in a line in the vertical optical black region. The computing section multiplies the pixel data stored in the smear information memory by the sent gain value, and subtracts the multiplied pixel data from the pixel data imaged by the CCD 5.

The invention relates to the ground source heat pump technique and particularly relates to a device for monitoring the ground source heat pump system based on the internet of things. The device comprises a soil temperature wireless sensor, an outdoor air temperature wireless sensor, an indoor temperature wireless sensor, water inlet-outlet temperature wireless sensors arranged on a cold-hot resource side and an air conditioner loading side of a cold water machine set, a flow wireless sensor, a wireless intelligent ammeter, a wireless signal collecting module, a local server and a remote monitoring computer. The wireless signal collecting module collects the parameter of each sensor according to the ZigBee protocol, transmits the parameters to the local server by the Internet according to the Modbus protocol, and then stores, computes and displays the COP (coefficient of performance) and the WTF (water transport factor) curves by the ground source heat pump system, and finally transmits the parameters to the remote monitoring computer by the Internet. The device can obtain the CPI (comprehensive performance index), the COP (coefficient of performance) and the WTF (water transport factor) of the ground source heat pump, and is beneficial to monitoring the daily energy-saving situation of the ground source heat pump system and providing evaluation data for the energy-saving improvement of the system.

The invention relates to a section active control strategy analysis method for online stability margin evaluation. The method comprises following steps: determining power distribution section compositions, online state evaluation data and an adjusting and managing range, carrying out network topology analysis, automatically generating section sending end region, section receiving end region and control generator set; calculating the sensitivity of each section branch through using direct current load flow according to online stability margin evaluation rational and safe rules, generating a section active comprehensive sensitivity; screening the section control generator set according to the value of the comprehensive sensitivity, through comprehensively considering the actual output, the operation state and the adjustable output upper limit constraint conditions of a generator, searching to generate a sending end adjustable generator set and a receiving end adjustable generator set; calculating the power adjusting amount of an adjustable generator and generating the section active control strategy for online stability margin evaluation. According to the method of the invention, the problem that the existing online stability margin evaluation functions depend more on dispatching the off-line calculating experiences of specialists and cannot carry out self-adaption to the changes of the operation modes of a power grid is solved.

The invention discloses a method and a device for recommending a travel strategy project. The method comprises the following steps: obtaining a destination of travel itinerary planning of a recommended user and the type of travel strategy project needing to be recommended to the recommended user; in combination with the matching degree between each travel strategy project and personal data of the recommended user, obtaining a recommendation grade of each travel strategy project according to user evaluation data of each travel strategy project of the type of a pre-stored destination, relevant event information of each travel strategy project, the travel itinerary planning of each travel strategy project as well as use information of the travel itinerary planning; and selecting the former n travel strategy projects with highest recommendation grades for each type of the travel strategy projects and recommending the former n travel strategy projects to the recommended user, wherein n is an integral number and not less than 1. Through the adoption of the method disclosed by the invention, the user experience can be improved.

Embodiments of the invention are directed toward methods for an effective blind, passive, splicing/tampering detection. The methods of the various embodiments of the invention use a natural image model to detect image splicing/tampering with a model that is based on statistical features extracted from a given test image and multiple 2-D arrays generated by applying the block discrete cosine transform (BDCT) with several different block-sizes to the test images. Experimental results have demonstrated that the new splicing detection scheme outperforms state-of-the-art methods by a significant margin when applied to the Columbia Image Splicing Detection Evaluation Dataset.

A method for providing a feedback-controlled exercise routine for a user by providing a predetermined sequence of movements for the user; sensing movements of the user during the sequence; measuring data related to the sensed movements; and evaluating the data to determine whether to repeat or modify the routine. The method can also include storing the user's exercise routine on a user key, displaying exercise instructions to the user from the user key to illustrate the sequence of movements, with the evaluation of the data including modifying the displayed exercise instructions, and storing an updated user exercise routine after successful completion of the routine, wherein the updated routine includes the modified exercise instructions.

An apparatus for processing 3D data, including data storage, memory and processing. 3D data is stored in the memory means and the processing is configured to evaluate the 3D data with respect to a first function of time in a first evaluation mode and with respect to a second function of time in a second evaluation mode.