Abstract:
A command transformation method includes: receiving a natural language sentence associated with a first language; transforming the natural language sentence into an original text command; determining whether the original text command comprises an unknown word or not; transforming the unknown word into International Phonetic Alphabet (IPA) when the original text command comprises the unknown word, to generate at least one candidate word; searching a database according to the candidate word, to search out a first word corresponding to the unknown word and associated with the first language; replacing the unknown word with the first word, to generate a first machine readable command. The first machine readable command is configured to be executed by an electronic device to implement a corresponding operation.
Abstract:
A projection method includes sending an identification signal, receiving an identification response signal corresponding to the identification signal, acquiring a display information from a database according to the identification response signal, acquiring a plurality of angles of a plurality of projection devices relative to an orientation of the first device and a plurality of distances between the projection devices and the first device according to the orientation of the first device and the location of the first device, and controlling a first projection device of the projection devices to project the display information according to the angles of the projection devices relative to an orientation of the first device and the distances between the projection devices and the first device.
Abstract:
A method for searching target clients, applied to a mobile device coupled to a network, is provided. A target position and a target time are generated by a positioning unit and a time generating unit of the mobile device, respectively. A target clients search message is generated according to keywords input into the mobile device, the target position and the target time and then transmitted to a server coupled to the network through the network. Then a search result transmitted by the server through the network is received. The search result comprises at least one of a target clients amount, a target clients density and a target clients occurrence probability, which are retrieved from at least one social networks data and corresponding to the keywords, the target location and the target time. A map combined with the search result is displayed.
Abstract:
A model construction system, apparatus, and method are provided. The model construction system includes at least one first source apparatus, at least one second source apparatus, and a model construction apparatus. The model construction apparatus receives a de-identification data set from each first source apparatus, receives a parameter set of a source model from each second source apparatus, generates at least one aligned data set by aligning the de-identification data set according to a predetermined data format, trains an original model to an assisted training model with the aligned data set(s), generates at least one updated parameter set according to the parameter set(s) and an assisted training parameter set, updates the assisted training model with one of the updated parameter set(s), and transmits the updated parameter set(s) to the second source apparatus(es). Each second source apparatus updates the source model according to the corresponding updated parameter set.
Abstract:
An e-commerce reputation analysis system includes a comment data capturing module, a keyword retrieving module, a sentiment analysis module and a reputation analysis module. The comment data capturing module captures comment data from an e-commerce platform according to an analysis item. The keyword retrieving module retrieves keywords from the comment data. The sentiment analysis module compares each keyword with sentiment groups. When a first feature phrase of feature phrases of the sentiment groups matches with a first keyword of the keywords, the sentiment analysis module determines that the sentiment group having the first feature phase is corresponding to the first keyword, and increases a rating of the sentiment group corresponding to the first keyword. The reputation analysis module selects first sentiment groups corresponding to the analysis item from the sentiment groups,and statistically sums the ratings of the first sentiment groups.
Abstract:
A method of posting a message on a social network website through an image is provided. A database is provided for storing a plurality of comparison images and candidate information, wherein each of the candidate information corresponds to one of the comparison images and comprises at least one of a text and a picture corresponding to the corresponded comparison image. An image is received. The image is compared with the comparison images to select one comparison image as a selected image corresponding to the received image. The candidate information corresponding to the selected image is retrieved from the database. A message which can be posted on social network website corresponding to a user is generated according to the retrieved candidate information. The generated message is then transmitted to and posted on the social network website corresponding to the user.
Abstract:
A data de-identification apparatus and method are provided. The data de-identification apparatus stores a data set of a first industry, wherein the data set is defined with a plurality of fields. The data de-identification apparatus receives a first instruction and a second instruction, wherein the first instruction corresponds to a second industry and the second instruction corresponds to a use of data. The data de-identification apparatus determines an identification category for each of the fields according to the first industry, the second industry, and the use of data. The data de-identification apparatus transforms the data set into a transformed data set according to the use of data and then transforms the transformed data set into a de-identification data set according to the identification categories.
Abstract:
An apparatus, method, and non-transitory computer readable storage medium for generating control instructions based on text are provided. The apparatus analyzes a text with at least one string to generate a text timestamp document, analyzes the at least one string to generate a plurality of pieces of emotion information, a plurality of pieces of action information, and a plurality of pieces of environment information, and decides a plurality of emotion tags and their corresponding timestamps, a plurality of action tags and their corresponding timestamps, and a plurality of environment tags and their corresponding timestamps according to a feature database. The apparatus further generates control instruction(s) and the corresponding timestamp(s) according to the emotion tags and their corresponding timestamps, the action tags and their corresponding timestamps, and the environment tags and their corresponding timestamps.
Abstract:
A cramp evaluating device for calf muscle, adapted to evaluate a probability value of calf muscle of a runner wearing a number of sensors, includes a physiological signal receiver and a cramp detector. The physiological signal receiver is configured to receive a plurality of physiological signals from the sensors. The cramp detector is configured to input the physiological signals to an evaluation model to calculate the probability value of the calf muscle of the runner.
Abstract:
A fitness equipment control system is provided. The system includes a receiver and a mobile apparatus, and performs the operations: generating a first control signal based on a training course of a user; transmitting the first control signal to the receiver to make the receiver generates a signal which is readable by the fitness equipment according to the first control signal and transmit the readable signal to the fitness equipment; receiving at least one physiological signal from at least one of the wearable devices worn by the user; based on the training course and the at least one physiological signal, generating a second control signal; and when the second control signal is generated, transmitting the second control signal to the receiver, wherein the receiver generates a signal which is readable by the fitness equipment according to the second control signal and transmits it to the fitness equipment.