Abstract: A method includes forming a first fin and a second fin protruding from a frontside of a substrate, forming a gate stack over the first and second fins, forming a dielectric feature dividing the gate stack into a first segment engaging the first fin and a second segment engaging the second fin, and growing a first epitaxial feature on the first fin and a second epitaxial feature on the second fin. The dielectric feature is disposed between the first and second epitaxial features. The method also includes performing an etching process on a backside of the substrate to form a backside trench, and forming a backside via in the backside trench. The backside trench exposes the dielectric feature and the first and second epitaxial features. The backside via straddles the dielectric feature and is in electrical connection with the first and second epitaxial features.

Abstract: A disability level automatic judgment device is disclosed. The disability level automatic judgment device includes a processor and a memory. The processor is configured to create a diagnosis information graph according to a diagnosis content, to compare the diagnosis information graph and a standard disability graph, so as to determine a first disability level, and to generate a judgment result according to the first disability level. The memory is coupled to the processor, and the memory is configured to store the standard disability graph.

Abstract: A multimodal method for detecting video includes following step of: receiving a message to be detected to obtain a multimodal association result, which message to be detected corresponds to a video to be detected; generating a plurality of detecting conditions according to multimodal association result; searching a plurality of videos in a video detection database to obtain a target video in videos according to detecting conditions, which each of videos includes a plurality of video paragraphs respectively, which each of video paragraphs includes a piece of multimodal related data respectively; comparing detecting conditions and piece of multimodal related data of video paragraphs to obtain a matching video paragraph and using video corresponding to matching video paragraph as the target video; and outputting the target video and the video to be detected to a display device for display.

Abstract: A knowledge graph generating apparatus, method and non-transitory computer readable storage medium thereof are provided. The apparatus marks an entity-relationship of the template of goods information in the template of webpage according to the operating signal and generates an extraction rule set, wherein the template of webpage is one of multiple goods webpages and has a template format. The apparatus extracts a plurality of first product information of the first goods webpages according to the extraction rule set, wherein the first goods webpages have the template format and are selected from the goods webpages. The apparatus generates a classified goods information result through a product information classification model, wherein the product information classification model is generated based on the first product information and the entity-relationship of the template of goods information.

Abstract: An apparatus and method for verification of information are provided. The apparatus for verification of information includes a storage and a processor, wherein the storage and the processor are electrically connected with each other. The storage stores a reference knowledge graph. The processor generates a to-be-verified knowledge graph of a to-be-verified article by a knowledge graph engine. The processor generates a verified result of the to-be-verified article by comparing the to-be-verified knowledge graph and the reference knowledge graph. The knowledge graph engine may generate the reference knowledge graph by searching and labeling a plurality of related articles according to a plurality of reference articles that have been labeled.

Abstract: An apparatus for predicting response to an article includes a storage, an input interface, and a processor. The storage stores a response prediction model, and the input interface is configured to receive an article to be predicted. The processor is electrically connected to the storage and the input interface, and performs the following operations: analyzing the article to be predicted to obtain its article content; predicting a response generated after the article to be predicted being read according to the response prediction model and the article content; and generating response data according to the predicted response.

Abstract: A knowledge graph generating apparatus, method and non-transitory computer readable storage medium thereof are provided. The apparatus marks an entity-relationship of the template of goods information in the template of webpage according to the operating signal and generates an extraction rule set, wherein the template of webpage is one of multiple goods webpages and has a template format. The apparatus extracts a plurality of first product information of the first goods webpages according to the extraction rule set, wherein the first goods webpages have the template format and are selected from the goods webpages. The apparatus generates a classified goods information result through a product information classification model, wherein the product information classification model is generated based on the first product information and the entity-relationship of the template of goods information.

Abstract: A display system for an issue comprises an input unit, a display unit and an processing unit. The input unit receives an initial keyword corresponding to an issue. The display unit displays at least a derivative issue generated from the issue during a time period according to time-based characteristics. The processing unit coupled to the input unit and the display unit obtains tags of subject contents of web pages, and obtains a present keywords group according to co-occurrence correlation of the tags. The processing unit analyzes the correlation between the present keywords calculated based on social voice, analyzing overlap rate for the present keywords compared with the initial keywords, and compares correlation between the present keywords with correlation between the initial keywords calculated based on social voice, in order to determine whether at least one of the derivative issue is generated.

Abstract: An inference system for data relation, method and system for generating marketing target groups are disclosed herein. The method includes the following operations: inputting a product name; determining a first group type of the product name from a specified data source according to the product name and finding a first interesting field and at least one first interesting data in the first interesting field corresponding to the first group type; establishing a customer persona model, wherein the customer persona model contains second group types, each of second group types has a second interesting field and at least one second interesting data in the second interesting field corresponding to the second group type; comparing the at least one second interesting data of the second group type of the customer persona model with the at least one first interesting data, and screening at least one marketing target group.

Abstract: A comparison table automatic generation method that includes the steps outlined below is provided. An interface is provided to set comparison topics, a basic article, a basic article object and marked paragraphs. Correlation between basic article words of the marked paragraphs is calculated to generate a marked main tag and marked enriched words to further retrieve collected article and a collected article object accordingly. Correlation between collected article words of the collected article paragraphs are calculated to generate main tag and enriched words of collected article to be compared with the marked main tag and the marked enriched words to calculate a similarity to further generate selected paragraphs accordingly. A comparison table that includes the comparison topics, the basic and collected article objects as the items of rows and columns therein is established such that the marked and the selected paragraphs are filled in entries of the comparison table.

Abstract: A recommendation method includes providing an ontology database, in which the ontology database includes a plurality of entities, and the entities are arranged in an ontology hierarchy structure with N hierarchy levels; storing a plurality of jth level user data respectively corresponding to a plurality of users; generating a plurality of kth level user data according to the jth level user data respectively; clustering the kth level user data; and recommending the entities in the ontology database to the users according to a clustering result.

Abstract: A service requirement analysis system includes a service provider database and an analysis server. The service provider database stores multiple service provider data entries, and is connected to a client device. The analysis server receives a service requirement string, and performs segmentation and filtering to obtain requirement keywords. The correlation values quantifying semantic relatedness between any two of the requirement keywords are calculated to construct a requirement keyword connected graph for dividing the requirement keywords into one or more requirement keyword groups associated with one or more concepts in the service requirement string. A semantic hierarchical structure of each of the requirement keyword groups is constructed for searching the service provider database to obtain service provider data entries matching the service requirement string. The matched entries are displayed on the client device.

Abstract: A display system for an issue comprises an input unit, a display unit and an processing unit. The input unit receives an initial keyword corresponding to an issue. The display unit displays at least a derivative issue generated from the issue during a time period according to time-based characteristics. The processing unit coupled to the input unit and the display unit obtains tags of subject contents of web pages, and obtains a present keywords group according to co-occurrence correlation of the tags. The processing unit analyses the correlation between the present keywords calculated based on social voice, analyzing overlap rate for the present keywords compared with the initial keywords, and compares correlation between the present keywords with correlation between the initial keywords calculated based on social voice, in order to determine whether at least one of the derivative issue is generated.

Abstract: A rechargeable battery temperature detection method adapted to an electronic system includes detecting a status of a processor of the electronic system when an external power is input to a power conversion module of the electronic system; determining whether a thermistor of the electronic system is conducted to a fuel gauge or a charge control circuit according to the state of the processor such that the fuel gauge or the charge control circuit determine a temperature sensing result via the thermistor. The thermistor is disposed adjacent to a rechargeable battery and has a resistance which varies with a temperature of the rechargeable battery. The temperature sensing result is related to the resistance.

Abstract: A wireless ear phone and a sound broadcasting method thereof are provided. The wireless ear phone includes a first signal sensor, an electromagnetic signal transmitter, a second signal sensor and a controller. The first signal sensor generates an environment light detection result by detecting an environment light. The electromagnetic signal transmitter transmits an interruptible electromagnetic signal. The second signal sensor is disposed on a transmission path of the interruptible electromagnetic signal, and the second signal sensor generates an electromagnetic signal detection result by detecting whether the interruptible electromagnetic signal or the environment light is received. The controller enables or disables an operation of sound broadcasting of the wireless ear phone according to the electromagnetic signal detection result. When the wireless ear phone is put into an ear of a user, the transmission path is cut-off by the ear of the user.

Abstract: A service requirement analysis system includes a service provider database and an analysis server. The service provider database stores multiple service provider data entries, and is connected to a client device. The analysis server receives a service requirement string, and performs segmentation and filtering to obtain requirement keywords. The correlation values quantifying semantic relatedness between any two of the requirement keywords are calculated to construct a requirement keyword connected graph for dividing the requirement keywords into one or more requirement keyword groups associated with one or more concepts in the service requirement string. A semantic hierarchical structure of each of the requirement keyword groups is constructed for searching the service provider database to obtain service provider data entries matching the service requirement string. The matched entries are displayed on the client device.

Abstract: An electronic computing device, a personalized information providing method thereof, and a non-transitory machine-readable medium thereof are provided. The electronic computing device establishes a first and a second tree structure data according to a first data of a first user and a second data of a second user arranged in a period respectively by using an ontology construction algorithm, and calculates a similarity between the first and the second tree structure data by using a similarity evaluating algorithm, and then analyzes the similarity to subsume the first and the second tree structure data into a group by using a clustering algorithm. The electronic computing device determines difference between the first and the second tree structure data according to the group and generates recommending information corresponding to the first user which is arranged in the period according to the difference, and then enables a monitor to display the recommending information.

Abstract: A method for providing article information includes the following steps: an article request for obtaining an article to be read is received through a network from a present client. The article is analyzed to obtain several potential keywords from the article. An internal database is searched to obtain at least one representative keyword, which the potential words belong to, and transformation information between the at least one representative keyword and each potential keyword. A number of search results of the at least one representative keyword is obtained by searching an external database for calculating a number of search results of each potential keyword. Article-related information related to the article is generated according to the number of search results of the potential keywords. The article and the article-related information are combined to generate a web page for being transmitted to the present client through the network.

Abstract: A rechargeable battery temperature detection method adapted to an electronic system includes detecting a status of a processor of the electronic system when an external power is input to a power conversion module of the electronic system; determining whether a thermistor of the electronic system is conducted to a fuel gauge or a charge control circuit according to the state of the processor such that the fuel gauge or the charge control circuit determine a temperature sensing result via the thermistor. The thermistor is disposed adjacent to a rechargeable battery and has a resistance which varies with a temperature of the rechargeable battery. The temperature sensing result is related to the resistance.

Abstract: A recommendation method includes providing an ontology database, in which the ontology database includes a plurality of entities, and the entities are arranged in an ontology hierarchy structure with N hierarchy levels; storing a plurality of jth level user data respectively corresponding to a plurality of users; generating a plurality of kth level user data according to the jth level user data respectively; clustering the kth level user data; and recommending the entities in the ontology database to the users according to a clustering result.