Abstract: An encoded substrate to be filmed by a camera device for generating an image is provided. The encoded substrate includes a plurality of grids arranged in a form of two-dimensional array, wherein each grid includes a first pattern and a second pattern not overlapped with each other. The first pattern corresponds to a first-dimensional encoded value, and the second pattern corresponds to a second-dimensional encoded value. The image is processed by a processor for scanning the plurality of grids. In a first-dimensional direction, the processor outputs a first coordinate according to at least two first patterns corresponding to at least two consecutive grids among the plurality of grids. In a second-dimensional direction, the processor outputs a second coordinate according to at least two second patterns corresponding to at least two consecutive grids among the plurality of grids.

Abstract: An encoded substrate to be filmed by a camera device for generating an image is provided. The encoded substrate includes a plurality of grids arranged in a form of two-dimensional array, wherein each grid includes a first pattern and a second pattern not overlapped with each other. The first pattern corresponds to a first-dimensional encoded value, and the second pattern corresponds to a second-dimensional encoded value. The image is processed by a processor for scanning the plurality of grids. In a first-dimensional direction, the processor outputs a first coordinate according to at least two first patterns corresponding to at least two consecutive grids among the plurality of grids. In a second- dimensional direction, the processor outputs a second coordinate according to at least two second patterns corresponding to at least two consecutive grids among the plurality of grids.

Abstract: An intelligent storage device and an intelligent storage method are provided. The intelligent storage device includes a storage space, an infrared sensor, a weight sensor, a transceiver, and a processor. The storage space is suitable for storing an object. The infrared sensor senses the storage space to generate infrared sensing data. The weight sensor senses the object in the storage space to generate weight sensing data. The processor is coupled to the infrared sensor, the weight sensor, and the transceiver, determines whether the object is placed in or removed from the storage space according to the infrared sensing data and the weight sensing data to generate an event record, and transmits the event record via the transceiver.

Abstract: An intelligent store system and an intelligent store method are provided. The method includes: sensing, by a proximity sensor, whether there is a first customer approaching the proximity sensor; sensing, by an image sensor, a movement trajectory of the first customer; and determining whether the first customer is entering or leaving a store in response to the first customer approaching the proximity sensor sensed by the proximity sensor. If the first customer is entering the store, a first virtual identity and a first virtual shopping cart corresponding to the first virtual identity are generated for the first customer, and a first product list of the first virtual shopping cart is updated according to the movement trajectory. If the first customer is leaving the store, a first operation of the first customer is received by a human machine interface, and the first product list according to the first operation is updated.

Abstract: An intelligent store system and an intelligent store method are provided. The method includes: sensing, by a proximity sensor, whether there is a first customer approaching the proximity sensor; sensing, by an image sensor, a movement trajectory of the first customer; and determining whether the first customer is entering or leaving a store in response to the first customer approaching the proximity sensor sensed by the proximity sensor. If the first customer is entering the store, a first virtual identity and a first virtual shopping cart corresponding to the first virtual identity are generated for the first customer, and a first product list of the first virtual shopping cart is updated according to the movement trajectory. If the first customer is leaving the store, a first operation of the first customer is received by a human machine interface, and the first product list according to the first operation is updated.

Abstract: An intelligent storage device and an intelligent storage method are provided. The intelligent storage device includes a storage space, an infrared sensor, a weight sensor, a transceiver, and a processor. The storage space is suitable for storing an object. The infrared sensor senses the storage space to generate infrared sensing data. The weight sensor senses the object in the storage space to generate weight sensing data. The processor is coupled to the infrared sensor, the weight sensor, and the transceiver, determines whether the object is placed in or removed from the storage space according to the infrared sensing data and the weight sensing data to generate an event record, and transmits the event record via the transceiver.

Abstract: A method and a device for analyzing data are provided. The method includes following steps. A plurality of queries for an event stored in a database are integrated to obtain a plurality of features. Each feature is limited at a searching condition. A plurality of items of searched data are obtained from the database according to respective searching condition of each feature. Whether a data volume of the searched data is higher or lower than a predetermined range is determined. If the data volume is higher than the predetermined range, the data volume of the searched data is reduced according to the features. If the data volume is lower than the predetermined range, the data volume of the searched data is increased according to the features. A correlation between the features and the event is analyzed according to the searched data.

Abstract: A revenue forecasting method, a revenue forecasting system and a graphical user interface are provided. The revenue forecasting system includes a storage device and a processing device. The processing device includes a pricing tree establishing unit, a generalizing unit, a path establishing unit, a simulation data establishing unit and an estimating unit. The pricing tree establishing unit builds a pricing tree comprising several feature hierarchies, a pricing hierarchy and an order hierarchy according to a target product. The generalizing unit generalizes several pricing nodes according to several target historical orders in the order hierarchy. The path establishing unit generates several pricing paths according to several approximate products. The simulation data establishing unit obtains several simulated historical orders according to a correlation between each of the pricing paths and the pricing tree.

Abstract: An intelligent planogram producing system and a method thereof are provided. The intelligent planogram producing method includes the following steps: obtaining a relevance between each of a plurality of objects and producing a relevance array; re-weighting the relevance array according to the displacing limitation of each object and producing at least one complete graph; obtaining a representing route of the at least one complete graph; outputting a planogram of the disposing location of each object on a shelf according to the representing route.

Abstract: Provided is a storage method including the following. An object is stored in a storage space. The object is sensed to generate sensing data. An identification model is generated according to the sensing data. In addition, the identification model is uploaded to a server.

Abstract: Provided is a storage method including the following. An object is stored in a storage space. The object is sensed to generate sensing data. An identification model is generated according to the sensing data. In addition, the identification model is uploaded to a server.

Abstract: A data analysis method is provided. The data analysis method includes collecting a user data; generating a number of situation conditions from the user data; calculating a distribution ratio of each of the situation conditions to obtain a first data; calculating a success ratio of information association of an information association algorithm under each of the situation conditions to obtain a second data; obtaining at least one evaluating parameter of the information association algorithm under the situation conditions according to the first data and the second data; and generating a suggestion information relating to the information association algorithm according to the at least one evaluating parameter.

Abstract: A method and a device for analyzing data are provided. The method includes following steps. A plurality of queries for an event stored in a database are integrated to obtain a plurality of features. Each feature is limited at a searching condition. A plurality of items of searched data are obtained from the database according to respective searching condition of each feature. Whether a data volume of the searched data is higher or lower than a predetermined range is determined. If the data volume is higher than the predetermined range, the data volume of the searched data is reduced according to the features. If the data volume is lower than the predetermined range, the data volume of the searched data is increased according to the features. A correlation between the features and the event is analyzed according to the searched data.

Abstract: A geographical location rendering method executed in a geographical location rendering system for identifying at least one semantic region is provided. A density clustering is performed on a plurality of user generated contents of respective geographical location name information to generate a plurality of region candidates. A name extraction is performed on the region candidates to extract and confirm a common region name of the region candidates as a name of the semantic region. A region scope of the region candidates is detected as a location scope of the semantic region according to a spatial density analysis.

Abstract: A geographical location rendering method executed in a geographical location rendering system for identifying at least one semantic region is provided. A density clustering is performed on a plurality of user generated contents of respective geographical location name information to generate a plurality of region candidates. A name extraction is performed on the region candidates to extract and confirm a common region name of the region candidates as a name of the semantic region. A region scope of the region candidates is detected as a location scope of the semantic region according to a spatial density analysis.

Abstract: An apparatus for transforming a signal strength of a wireless positioning system is provided. The apparatus is adapted for eliminating the difference of signal strengths between different mobile communication apparatuses or different environments. The apparatus includes a location estimation circuit. The location estimation circuit is adapted to obtain a possible coordinate by calculating a first signal strength distribution received by a mobile communication apparatus. The possible coordinate and the first signal strength distribution are taken as training data for training a transforming module with an approximation algorithm. Accordingly, the present invention adopts a positive correlation index and the approximation algorithm for automatically training a transforming module for the mobile communication apparatus without using the information of chip model and location of mobile communication apparatus.

Abstract: An apparatus for transforming a signal strength of a wireless positioning system is provided. The apparatus is adapted for eliminating the difference of signal strengths between different mobile communication apparatuses or different environments. The apparatus includes a location estimation circuit. The location estimation circuit is adapted to obtain a possible coordinate by calculating a first signal strength distribution received by a mobile communication apparatus. The possible coordinate and the first signal strength distribution are taken as training data for training a transforming module with an approximation algorithm. Accordingly, the present invention adopts a positive correlation index and the approximation algorithm for automatically training a transforming module for the mobile communication apparatus without using the information of chip model and location of mobile communication apparatus.