Abstract: The present disclosure provides a method, portable device, and system for detecting physiological phenotype of crops, which determines a digital color chart according to the distance between a designated crop and the portable device and the present environmental brightness, and then determines that the appearance color of the designated crop belongs to which control color information of the selected digital color chart. It can avoid causing the error result because of the influence of the subjective determination and the environmental light. Therefore, the selected control color information may correspond to physiology information of the designated crop, to provide farmers with an understanding the present physiological phenotype of the designated crop.

Abstract: An agricultural product detection device, an agricultural product management system and a method thereof are provided. The agricultural product detection device includes at least one flex sensing unit, at least one color sensing unit and a processing unit. The flex sensing unit is configured to perform shape sensing on an agricultural product, so as to obtain curvature information of the agricultural product. The color sensing unit is configured to perform color sensing on the agricultural product, so as to obtain color information of the agricultural product. The processing unit is configured to perform an operation process on the curvature information and the color information and to generate an operation process result accordingly.

Abstract: The present disclosure provides a method, portable device, and system for detecting physiological phenotype of crops, which determines a digital color chart according to the distance between a designated crop and the portable device and the present environmental brightness, and then determines that the appearance color of the designated crop belongs to which control color information of the selected digital color chart. It can avoid causing the error result because of the influence of the subjective determination and the environmental light. Therefore, the selected control color information may correspond to physiology information of the designated crop, to provide farmers with an understanding the present physiological phenotype of the designated crop.

Abstract: Disclosed are a task supervising system and a method thereof, for automatically reporting whether a task is fulfilled. The system generates a task list via a task generating module. A worker learn the task and a required task area of a task location via the task list transmitted. The worker uses a location acquiring unit to obtain a location information of an electric device, and at least a sensor to obtain a sensing signal. A task executing module would first determine whether the location information of an electric device is within the required task area of the task location. If yes, the sensing signal would be transmitted to a database storing a reference signal corresponding to the task in advance. Finally, via the database, a task supervising module compares the sensing signal and the reference signal so as to generate a supervised result corresponding to the task.

Abstract: A multi-sensing-elements sensing calibration system, a multi-sensing-elements sensing calibration method and a recording medium are provided. This system includes a plurality of sensing elements, a first calculating module and a second calculating module. The sensing elements are configured at a same place and generate corresponding sensing values under a plurality of sensing conditions. The first calculating module generates a plurality of corresponding average values from the sensing values under the sensing conditions. The second calculating module generates a corresponding calibration curve according to sensing values of each sensing element under a plurality of sensing conditions and each average value, and the calibration curve is provided to correct each sensing element.

Abstract: A sensing device having multiple sensing units, a sensing method, and a recording medium thereof are provided. A system includes a plurality of sensing units, an operational module, a selection module, and a sampling module. The selection module is connected to a target sensing unit according to a selection signal provided by the operational module, and obtains a sensing signal provided by the target sensing unit. The sampling module obtains the sensing signal from the selection module.

Abstract: A sensing device capable of converting optical energy into electrical energy and a conversion method thereof are presented. The sensing device includes an optical-to-electrical conversion module, a power regulation module, a sensing module, and a processing module. The optical-to-electrical conversion module is used for converting optical energy into electrical energy. The power regulation module is used for generating a power supply specification according to the electrical energy. The sensing module performs sensing according to the electrical energy to provide a sensing signal. The processing module processes the sensing signal according to the electrical energy.

Abstract: A system and a method for transmitting serial data, and a recording medium thereof are provided, in which a host is connected to a portable device through network, and the portable device is connected to a serial device. The host includes a host control module, a data convert module, and a first communication module. The host control module generates and receives serial data. The data convert module is connected between the first communication module and the host control module to convert formats of serial data and network packet data. The first communication module performs communication of network packet data between the data convert module and the portable device. The portable device is configured between the host and the serial device, and converts formats of the serial data and the network packet data by using a bridge module, so as to establish connection between the host and the serial device.

Abstract: A behavior recognition system and method by combining an image and a speech are provided. The system includes a data analyzing module, a database, and a calculating module. A plurality of image-and-speech relation modules is stored in the database. Each image-and-speech relation module includes a feature extraction parameter and an image-and-speech relation parameter. The data analyzing module obtains a gesture image and a speech data corresponding to each other, and substitutes the gesture image and the speech data into each feature extraction parameter to generate image feature sequences and speech feature sequences. The data analyzing module uses each image-and-speech relation parameter to calculate image-and-speech status parameters.

Abstract: A system and a method for transmitting serial data, and a recording medium thereof are provided, in which a host is connected to a portable device through network, and the portable device is connected to a serial device. The host includes a host control module, a data convert module, and a first communication module. The host control module generates and receives serial data. The data convert module is connected between the first communication module and the host control module to convert formats of serial data and network packet data. The first communication module performs communication of network packet data between the data convert module and the portable device. The portable device is configured between the host and the serial device, and converts formats of the serial data and the network packet data by using a bridge module, so as to establish connection between the host and the serial device.

Abstract: A method of constructing a model of recognizing English pronunciation variations is used to recognize English pronunciations with different intonations influenced by non-English native languages. The method includes collecting a plurality of sound information corresponding to English expressions; corresponding phonetic alphabets of the non-English native language and English of a region to International Phonetic Alphabets (IPAs), so as to form a plurality of pronunciation models; converting the sound information with the pronunciation models to form a pronunciation variation network of the corresponding English expressions, thereby detecting whether the English expressions have pronunciation variation paths; and finally summarizing the pronunciation variation paths to form a plurality of pronunciation variation rules. Furthermore, the pronunciation variations are represented by phonetics features to infer possible pronunciation variation rules, which are stored to form pronunciation variation models.

Abstract: A behavior recognition system and method by combining an image and a speech are provided. The system includes a data analyzing module, a database, and a calculating module. A plurality of image-and-speech relation modules is stored in the database. Each image-and-speech relation module includes a feature extraction parameter and an image-and-speech relation parameter. The data analyzing module obtains a gesture image and a speech data corresponding to each other, and substitutes the gesture image and the speech data into each feature extraction parameter to generate image feature sequences and speech feature sequences. The data analyzing module uses each image-and-speech relation parameter to calculate image-and-speech status parameters.

Abstract: A system and pupil position acquisition method and a device containing computer software for executing the same are provided. The system includes a shooting module, a scanning module, a signal transformation module, and a signal analysis module. The shooting module shoots an eyeball image using an image shooting device, such as a charge-coupled device (CCD) camera. The scanning module scans the eyeball image to acquire an eyeball signal. The signal transformation module performs a wavelet transform on the eyeball signal. The signal analysis module analyzes the eyeball signal after the wavelet transform to acquire a signal interval, and analyzes and acquires a position of a pupil with respect to the eyeball image according to the signal interval.

Abstract: A system and pupil position acquisition method and a device containing computer software for executing the same are provided. The system includes a shooting module, a scanning module, a signal transformation module, and a signal analysis module. The shooting module shoots an eyeball image using an image shooting device, such as a charge-coupled device (CCD) camera. The scanning module scans the eyeball image to acquire an eyeball signal. The signal transformation module performs a wavelet transform on the eyeball signal. The signal analysis module analyzes the eyeball signal after the wavelet transform to acquire a signal interval, and analyzes and acquires a position of a pupil with respect to the eyeball image according to the signal interval.

Abstract: A method of constructing a model of recognizing English pronunciation variations is used to recognize English pronunciations with different intonations influenced by native languages. The method includes collecting a plurality of sound information corresponding to English expressions; corresponding phonetic alphabets of the native language and English of a region to International Phonetic Alphabets (IPAs), so as to form a plurality of pronunciation models; converting the sound information with the pronunciation models to form a pronunciation variation network of the corresponding English expressions, thereby detecting whether the English expressions have pronunciation variation paths; and finally summarizing the pronunciation variation paths to form a plurality of pronunciation variation rules. Furthermore, the pronunciation variations are represented by phonetics features to infer possible pronunciation variation rules, which are stored to form pronunciation variation models.