674 results about "Model set" patented technology

Provided are methods and systems for determining the structure of a composite or solid solution material for an electrode in lithium-ion batteries. In one embodiment, a method is presented where a building-block database of hypothetical structures containing only one transition metal atom is constructed by use of quantum simulation. Then, a composite model set of structures containing two or more transition metal atoms is constructed by calculating a linear average of parent components from the building-block database of hypothetical structures to determine lattice constants and atomic coordinates of candidates. The composite model set is screened with a local order matrix to subclassify composite models into a subset, such that the composite models share the same property in local transition metal ordering. Still yet, a representative from each subset is selected and a quantum simulation on the representative models is performed to determine the structure of the material.

The invention discloses a method and system for detecting operating states of substation equipment. Different from a diagnostic method purely based on a failure mechanism, the method is characterized in that real-time historical data of the substation equipment are utilized; historical data models under the various operating states are set as reference; compared with models set according to current state data, the historical data models can obtain the relevancy degree representing the level of similarity; the current corresponding operating state of the substation equipment is judged according to the relevancy degree. Thus, once the level of similarity of the current state data of the equipment and the historical failure state data exceeds a threshold value, an early warning message can be sent out, and accordingly early signs of potential faults of the substation equipment are early warned, and relevancy of fault types is analyzed.

The invention provides a rating prediction based project recommending method for time-sequence control and a system thereof. The corresponding project recommending method comprises the following steps: inputting a project to be recommended; determining a time-sequence rating model related to the project, wherein the time-sequence rating model is used for predicting rating changes of the project along with time; applying one or more recommending policies to the determined time-sequence rating model to determine a preference recommending time of the project; and recommending the project for a user at the determined preference recommending time. In different embodiments, the time-sequence rating model of the project can be selected from a pre-saved time-sequence rating model set, or is automatically generated according to historic data of the system. Furthermore, the selected time-sequence rating model can be adjusted according to user preferred information or feedback information. The project recommending system considers that the interest of users in recommended projects changes along with time so as to increase the recommending efficiency and improve user experience.

A state based adaptive feedback / feedforward PID controller includes a model set component, communicatively coupled to a process input, having a state variable defining a number of process regions, and a number of models grouped into the process regions. Each of the grouped models includes a plurality of parameters having a value selected from a set of predetermined initial values assigned to the respective parameter. The adaptive controller further includes an error generator communicatively coupled to the model set component and a process output. The error generator configured to generate a model error signal representative of the difference between a model output signal and a process output signal. The error generator, communicatively coupled to a model evaluation component, is configured to compute a model squared error corresponding to a model and correlating the model squared error to parameter values represented in the model. The adaptive controller further includes a parameter interpolator communicatively coupled to the model evaluation component for calculating a respective adaptive parameter value for parameters represented in the model and a controller update component, communicatively coupled to the parameter interpolator, for updating the controller in response to adaptive parameter values upon conclusion of an adaptation cycle.

The invention discloses an urban traffic illegal behavior detection method based on a video monitoring system. The urban traffic illegal behavior detection method based on the video monitoring system includes the following steps of trajectory extraction, trajectory structuring, trajectory similarity calculation, trajectory clustering and modeling and abnormality detection, wherein in the trajectory extraction step, a video movement target is detected and tracked to extract a target trajectory; in the trajectory structuring step, a trajectory section is segmented and structured, and the trajectory section is represented through four structural characteristics; in the trajectory similarity calculation step, the characteristic distances corresponding to the four structural characteristics of the trajectory section are calculated respectively, and the similarity between trajectories is calculated through weighing and calculation of the relative similarity between the trajectories; in the trajectory clustering and modeling step, a similarity matrix is structured according to the similarity between the trajectories, the trajectories are clustered, the clustered trajectories are built into Gaussian model sets, and the trajectories belonging to the same class are built into one same set of Gaussian models; in the abnormality detection step, the probability of a trajectory belonging to each model is calculated, and abnormality is judged according to whether the largest probability is larger than a preset threshold or not. According to the method, traffic illegal behaviors are detected based on the video monitoring system, and the efficiency and the accuracy of detection and the illegal behavior class are improved.

A robot simulation device for simulating an operation of a robot having a vision sensor in an off-line mode. The device includes a working-environment model setting section for arranging a sensor model, a robot model and a plurality of irregularly piled workpiece models in a virtual working environment; and an operation simulating section for allowing the sensor model and the robot model to simulate a workpiece detecting operation and a bin picking motion. The operation simulating section includes a workpiece-model image generating section for allowing the sensor model to pick up the workpiece models and generating a virtual image thereof; a workpiece-model position detecting section for identifying an objective workpiece model from the virtual image and detecting a virtual position thereof; and a robot-model operation controlling section for allowing the robot model to pick out the objective workpiece model based on the virtual position.