The present invention is a combined commodity mining method based on knowledge graph rule embedding, comprising: expressing rules, commodities, attributes, and attribute values as embeddings; splicing and inputting the embeddings of the rules and the embeddings of the attributes into a first neural network to obtain a importance scores of the attributes; splicing and inputting the rules and attributes into a second neural network to obtain the embeddings of the attribute values that the rules should take under the attributes; calculating a similarity between the value of two inputted commodities under the attribute and the embedding of the attribute value calculated by a model; after calculating scores of all attribute-attribute value pairs, summing up to obtain scores of these two commodities under this rule; then making the cross entropy loss with the real scores of these two commodities, and iteratively training based on an optimization algorithm having gradient descent; after the model is trained, parsing the embeddings of the rules in a similar way to obtain rules that can be understood by human beings.

According to an embodiment, an image processing device includes one or more processors. The one or more processors are configured to: acquire an image; detect a first repeated pattern from the image; detect an object included in the first repeated pattern; and output the object as a second repeated pattern.

An image processing method includes: detecting repetition numbers of each image frame of an input image frame sequence, wherein the input image frame sequence includes sequentially inputted at least one first image frame and at least one second image frame, and image data of each first image frame is different from image data of each second image frame; determining a first lookup table according to a first repetition numbers of the at least one first image frame, wherein the first lookup table indicates a plurality of sets of compensation calculations; and using a first set of compensation calculations in the sets of compensation calculations to process the at least one first image frame according to a second repetition numbers of the at least one second image frame.

The degree of relatedness between words included in an amount of data can be calculated, allowing suitable related words and phrases to be extracted. An inter-word score calculation apparatus includes document data (response history document) wherein documents input from outside are accumulated, term list data wherein predetermined terms are written, a word combination unit that can execute a combination process of amplifying an amplification candidate word, which is a word corresponding to a term written in the term list data and included in a document constituting the document data and adding the amplified word to the document data, and an inter-word score calculation unit calculating a degree of relatedness between words in the document data using a predetermined calculation method, wherein the number of documents accumulated in the document data is smaller than a first predetermined amount, the word combination unit adds the amplification candidate word to the document data.

An automated behavioral monitoring unit comprising one or more sensors, a processor in the unit connected to the sensors, an object library stored on the unit and an operating program. The program is adapted to recognize and classify objects detected by the sensors by accessing the object library stored on the unit, track the orientation of the objects with respect to each other, identify spatial orientations of the objects and people which are abnormal and communicate details of abnormalities to at least one remote user device. No imagery from the sensors is transmitted from the unit to the remote user device in order to safeguard the privacy of people being monitored.

An automated behavioral monitoring unit comprising one or more sensors, a processor in the unit connected to the sensors, an object library stored on the unit and an operating program. The program is adapted to recognize and classify objects detected by the sensors by accessing the object library stored on the unit, track the orientation of the objects with respect to each other, identify spatial orientations of the objects and people which are abnormal and communicate details of abnormalities to at least one remote user device. No imagery from the sensors is transmitted from the unit to the remote user device in order to safeguard the privacy of people being monitored.

The method of this disclosure includes identifying a hot area in an index tree where an index split of the index tree has occurred due to a previous data insertion into a database based on historical statistic information on the index split. The method of this disclosure may further include predicting boundary key values of one or more new index pages to be inserted into the index tree for a next data insertion into the database based on a distribution of the hot area in the index tree. The method of this disclosure may further include inserting the one or more new index pages into the index tree based on the predicted boundary key values prior to the next data insertion.

An information processing apparatus that inspects a state of a target object using distance information obtained by measuring the target object includes an acquisition unit configured to acquire position information indicating a position of a part of the target object based on the distance information, and an output unit configured to output, in a case where a position of a part of the target object does not satisfy a predetermined condition, based on the position information and the condition, information regarding a direction in which the target object is to be moved from a current state of the target object to a state satisfying the condition.

An information processing apparatus that inspects a state of a target object using distance information obtained by measuring the target object includes an acquisition unit configured to acquire position information indicating a position of a part of the target object based on the distance information, and an output unit configured to output, in a case where a position of a part of the target object does not satisfy a predetermined condition, based on the position information and the condition, information regarding a direction in which the target object is to be moved from a current state of the target object to a state satisfying the condition.

An information processing apparatus that inspects a state of a target object using distance information obtained by measuring the target object includes an acquisition unit configured to acquire position information indicating a position of a part of the target object based on the distance information, and an output unit configured to output, in a case where a position of a part of the target object does not satisfy a predetermined condition, based on the position information and the condition, information regarding a direction in which the target object is to be moved from a current state of the target object to a state satisfying the condition.