System monitors and methods of monitoring a system are disclosed. In one arrangement a system monitor predicts a future state of a system. A data receiving unit receives system data representing a set of one or more measurements performed on the system. A first statistical model is fitted to the system data. The first statistical model is compared to each of a plurality of dictionary entries in a database. Each dictionary entry comprises a second statistical model. The second statistical model is of the same general class as the first statistical model and obtained by fitting the second statistical model to data representing a set of one or more previous measurements performed on a system of the same type as the system being monitored and having a known subsequent state. A prediction of a future state of the system being monitored is output based on the comparison. The first statistical model and the second statistical model are each a stochastic process or approximation to a stochastic process.

A device for recognizing a fingerprint, includes: a fingerprint sensor; at least two moisture detection electrodes disposed within a preset range of the fingerprint sensor; and a processing module coupled to the fingerprint sensor and the at least two moisture detection electrodes. The fingerprint sensor is configured to output a fingerprint signal to the processing module when a user touches the fingerprint sensor and the at least two moisture detection electrodes with a finger. The processing module is configured to acquire a characteristic value which is positively related to an impedance between the at least two moisture detection electrodes when the user touches the fingerprint sensor and the at least two moisture detection electrodes with the finger; determine a fingerprint recognition parameter which matches the characteristic value; and perform fingerprint recognition according to the determined fingerprint recognition parameter and the fingerprint signal.

By use of the characteristics that an analog-to-digital converter sends out data sequentially when it converts data of a two-dimensional analog image into pixel data, a fingerprint image detecting device and method generate digital output data having a plurality of rows of data, generate a plurality of one-dimensional datum segments linearly from the digital output data, and determine whether the two-dimensional analog image is a real fingerprint image according to the plurality of one-dimensional datum segments. Thus, the detection of a fingerprint image is implemented by means of one-dimensional calculation instead of two-dimensional calculation, thereby effectively reducing computational load and computational time.

At least some example embodiments provide a fingerprint sensor, a fingerprint sensor package, and a fingerprint sensing system using light sources of a display panel. The fingerprint sensor includes an image sensor including a plurality of sensor pixels, the sensor pixels configured to sense light reflected by a fingerprint and generate image information corresponding to the fingerprint and a pinhole mask defining a plurality of pinholes, wherein each of the pinholes forms a focus for transmitting the light reflected by the fingerprint to the image sensor, wherein light is emitted from a plurality of organic light-emitting diodes (OLEDs) and is reflected by the fingerprint.

A time-series feature extraction apparatus has a coefficient outputter to output a coefficient to be used in calculation for classifying time series data into a plurality of segments, a segment position outputter to perform calculation for classifying the time series data into the plurality of segments based on the coefficient to output information on boundary positions of the plurality of segments, a cluster classifier to classify the plurality of segments into a certain number of plurality of clusters equal to or smaller than a certain number of the plurality of segments, a representative element outputter to output a representative element which represents a local feature of each of the plurality of clusters and is set for each of the plurality of segments, a feature degree calculator to calculate a feature degree of the representative element, and a representative element updater to update the representative element based on the feature degree.

The present disclosure provides a system comprising a communication interface and computer for assigning a label to the biomolecule fingerprint, wherein the label corresponds to a biological state. The present disclosure also provides a sensor arrays for detecting biomolecules and methods of use. In some embodiments, the sensor arrays are capable of determining a disease state in a subject.

The present disclosure provides a system comprising a communication interface and computer for assigning a label to the biomolecule fingerprint, wherein the label corresponds to a biological state. The present disclosure also provides a sensor arrays for detecting biomolecules and methods of use. In some embodiments, the sensor arrays are capable of determining a disease state in a subject.

It is disclosed a method, an apparatus, a computing device, and a computer-readable storage medium for identifying a signal. The method includes demodulating a modulated signal to generate a transmission signal, transmitting the transmission signal, receiving an echo signal generated by a reflection of the transmission signal, demodulating the echo signal to obtain demodulated information, identifying the demodulated information by using a target network model to obtain an identification result of the echo signal, and outputting the identification result to a graphical user interface for display.

The present disclosure provides a system comprising a communication interface and computer for assigning a label to the biomolecule fingerprint, wherein the label corresponds to a biological state. The present disclosure also provides a sensor arrays for detecting biomolecules and methods of use. In some embodiments, the sensor arrays are capable of determining a disease state in a subject.

The present disclosure provides a target detection method, target detection system and non-volatile storage medium. The target detection method includes: acquiring an image to be detected and anchor parameters of preset type number, wherein the anchor parameters are parameters of an anchor set on the image to be detected, and each type of anchor parameters include an anchor scale and an anchor aspect ratio; inputting the image to be detected and the anchor parameters into a target detection model; and carrying out target detection on the image to be detected on the basis of the anchor parameters by the target detection model to obtain a detection result, the detection result including a category and/or a position of a target object included in the image to be detected.