Abstract: A method of establishing a cancer screening model is provided, including: providing a plurality of samples and a plurality of corresponding cancer states; analyzing these samples by a low-resolution mass spectrometer to obtain a plurality of mass spectral data, wherein the low-resolution mass spectrometer is undertaken a mass accuracy level above 5 ppm and a mass resolution (m/?m) below 10,000; inputting these mass spectral data into a machine learning algorithm to obtain a plurality of markers by a feature selection method; and using these markers and these cancer states by the machine learning algorithms to establish cancer screening model.

Abstract: A method includes forming a dielectric layer over an epitaxial source/drain region. An opening is formed in the dielectric layer. The opening exposes a portion of the epitaxial source/drain region. A barrier layer is formed on a sidewall and a bottom of the opening. An oxidation process is performing on the sidewall and the bottom of the opening. The oxidation process transforms a portion of the barrier layer into an oxidized barrier layer and transforms a portion of the dielectric layer adjacent to the oxidized barrier layer into a liner layer. The oxidized barrier layer is removed. The opening is filled with a conductive material in a bottom-up manner. The conductive material is in physical contact with the liner layer.

Abstract: A semiconductor package includes a first die having a first substrate, an interconnect structure overlying the first substrate and having multiple metal layers with vias connecting the multiple metal layers, a seal ring structure overlying the first substrate and along a periphery of the first substrate, the seal ring structure having multiple metal layers with vias connecting the multiple metal layers, the seal ring structure having a topmost metal layer, the topmost metal layer being the metal layer of the seal ring structure that is furthest from the first substrate, the topmost metal layer of the seal ring structure having an inner metal structure and an outer metal structure, and a polymer layer over the seal ring structure, the polymer layer having an outermost edge that is over and aligned with a top surface of the outer metal structure of the seal ring structure.

Abstract: The invention provides a real-time control and navigation system for watercrafts environmental risk, which has a processor, a 3D radar, an inertial sensor and a global positioning system (GPS) configured on the watercrafts. The 3D cloud point detected by the lidar sensor is converted into a 2D point cloud, the processor converts the coordinates of the 2D point cloud according to the GPS, and the image algorithm calculates the position of the obstacle according to the real-time condition of the watercrafts detected by the inertial sensor, and then navigate the path of the watercrafts. The present invention can improve the position accuracy of the obstacles on the water, and the path navigation also improves the safety of the route by considering the required margin for the running of the watercrafts itself.

Abstract: The present disclosure provides an automatic berthing image ranging system for vessels and operation method thereof, the method comprising: obtaining a reference image around a position in which a vessel is located, the reference image comprises a first pattern and at least two second patterns; the reference image is projected to a reference plane to generate projection coordinates corresponding to the first pattern and the at least two patterns; determining a positional relationship between the vessel and a port by a predetermined distance, and the positional relationship is represented by an angle value.

Abstract: The present disclosure provides an automatic berthing image ranging system for vessels and operation method thereof, the method comprising: obtaining a reference image around a position in which a vessel is located, the reference image comprises a first pattern and at least two second patterns; the reference image is projected to a reference plane to generate projection coordinates corresponding to the first pattern and the at least two patterns; determining a positional relationship between the vessel and a port by a predetermined distance, and the positional relationship is represented by an angle value.

Abstract: A data processing method is proposed, including: sensing, via at least one sensing portion, target information of a target device; receiving and processing, via an electronic device, the target information of the sensing portion to form feature information; processing, via the electronic device, the feature information into a label matrix, and establishing, via an artificial intelligence training method, a target model based on the label matrix; and after the electronic device captures real-time information of the target device, predicting, via the target model, a life limit of the target device, wherein a content of the target information is corresponding to a content of the real-time information. Thus, a good target model is constituted and is advantageous in training artificial intelligence by processing the feature information into the label matrix.

Abstract: This invention discloses an inland river Lidar navigation system for vessels, comprising a receiver, a memory, a processor and a display. The processor coupled to the receiver and the memory, and the display coupled to the processor. Overall, the inland river navigation Lidar system based on Lidar is able to make use of the preset map data identification uncalculatable points of a point cloud of the predetermined procedure, thereby removing of the alignment step in traditional method can be omitted. Therefore, the processing speed can be improved.

Abstract: The present invention discloses an autonomous vessel simulation system, comprising an environment model building system, a vessel model building system and a central processing system. The environment model building system builds at least one environment model; the vessel model building system builds at least one vessel model and an operation module of the central processing system integrates the environment model and the vessel model. The vessel model is navigated in the environment model according to at least one navigational parameter, and a display module displays the navigation status of the vessel model. In addition, an operating method of the autonomous vessel simulation system is also provided.

Abstract: A data processing method is proposed, including: sensing, via at least one sensing portion, target information of a target device; receiving and processing, via an electronic device, the target information of the sensing portion to form feature information; processing, via the electronic device, the feature information into a label matrix, and establishing, via an artificial intelligence training method, a target model based on the label matrix; and after the electronic device captures real-time information of the target device, predicting, via the target model, a life limit of the target device, wherein a content of the target information is corresponding to a content of the real-time information. Thus, a good target model is constituted and is advantageous in training artificial intelligence by processing the feature information into the label matrix.