Abstract:
A server for management and sharing of personal digital resources. The server includes a communication unit, a storage unit and a computing unit. Via the communication unit, the computing unit communicates with users on internet for the digital resources of the users. The users and the digital resources of the users are archived in the storage unit. The behavioral preferences of each user regarding his own digital resources and the access rights to the digital resources that each user sets for other users are also recorded in the storage unit. The digital resources include terminal devices and internet services. Based on data contained in the storage unit and via the communication unit, the computing unit manages the digital resources of each user and the digital resources are shared between the users.
Abstract:
A method of identifying a predetermined type of abnormal movement of a physical object includes generating a raw matrix comprising a first array and a second array, the generation of the raw matrix. The method also includes generating an integrated matrix by performing a dimension reduction on the raw matrix. The method a further includes identifying the predetermined type of abnormal movement of the physical object by comparing the integrated matrix or a set of indexes derived from the integrated matrix with a predetermined benchmark pattern corresponding to the predetermined type of abnormal movement. Generating the raw matrix includes a first analysis on a predetermined portion of a periodic signal representative of movement of the physical object to generate the first array. Generating the raw matrix also includes performing a second analysis different from the first analysis on the predetermined portion of the periodic signal to generate the second array.
Abstract:
The present application discloses a method of detecting abnormal movement of a physical object. A periodic signal is representative of the movement of the object. According to some embodiments, a raw matrix having a first array and a second array is generated, and then an integrated matrix is generated by performing a dimension reduction on the raw matrix. A likelihood of a predetermined type of abnormal movement of the physical object is determined by comparing the integrated matrix with a predetermined benchmark pattern. In some embodiments, the generation of the raw matrix includes performing a first analysis on a predetermined portion of the periodic signal to generate the first array and performing a second analysis different from the first analysis on the predetermined portion of the periodic signal to generate the second array.