Abstract: A method includes forming a first conductive feature over a semiconductor substrate, forming an ILD layer over the first conductive feature, patterning the ILD layer to form a trench, and forming a conductive layer over the patterned ILD layer to fill the trench. The method further includes polishing the conductive layer to form a via contact configured to interconnect the first conductive feature with a second conductive feature, where polishing the conductive layer exposes a top surface of the ILD layer, polishing the exposed top surface of the ILD layer, such that a top portion of the via contact protrudes from the exposed top surface of the ILD layer, and forming the second conductive feature over the via contact, such that the top portion of the via contact extends into the second conductive feature.

Abstract: A carrier structure is provided, in which at least one positioning area is defined on a chip-placement area of a package substrate, and at least one alignment portion is disposed on the positioning area. Therefore, the precision of manufacturing the alignment portion is improved by disposing the positioning area on the chip-placement area, such that the carrier structure can provide a better alignment mechanism for the chip placement operation.

Abstract: A dispatcher virtual assistant (DVA) that can augment the capability of emergency dispatchers while reducing human errors. Major functions of the DVA include updating an emergency incident's status in real time, recommending or reminding the dispatcher to take proper actions at the right timing, answering the dispatcher's inquiries for task-related information, and fulfilling the dispatcher's request for an incident report. The DVA system includes a dispatcher language model based on machine-learning and deep-learning algorithms, for extracting the status of a live incident from incoming incident logs, and for processing and answering inquiries or requests from the dispatcher. It is customizable for different types of emergencies and for different local communities. The DVA can be used in tandem with an existing CAD system.

Abstract: An image processing method includes: calculating an area of a first label of a first medical image of a plurality of medical images with a plurality of labels; obtaining a first determination result based on whether the area of the first label is greater than a threshold value; obtaining a second determination result based on whether a second medical image of the medical images adjacent to the first medical image includes a second label overlapping a first projection area of the first label on the second medical image; and selectively deleting the first label on the first medical image according to the first determination result and the second determination result. The present disclosure further provides an image processing system to perform the image processing method.

Abstract: A dispatcher virtual assistant (DVA) that can augment the capability of emergency dispatchers while reducing human errors. Major functions of the DVA include updating an emergency incident's status in real time, recommending or reminding the dispatcher to take proper actions at the right timing, answering the dispatcher's inquiries for task-related information, and fulfilling the dispatcher's request for an incident report. The DVA system includes a dispatcher language model based on machine-learning and deep-learning algorithms, for extracting the status of a live incident from incoming incident logs, and for processing and answering inquiries or requests from the dispatcher. It is customizable for different types of emergencies and for different local communities. The DVA can be used in tandem with an existing CAD system.

Abstract: An image processing method includes: calculating an area of a first label of a first medical image of a plurality of medical images with a plurality of labels; obtaining a first determination result based on whether the area of the first label is greater than a threshold value; obtaining a second determination result based on whether a second medical image of the medical images adjacent to the first medical image includes a second label overlapping a first projection area of the first label on the second medical image; and selectively deleting the first label on the first medical image according to the first determination result and the second determination result. The present disclosure further provides an image processing system to perform the image processing method.

Abstract: A method for sorting unsystematic environment risk of underground storage tank systems includes: generating an unsystematic environmental site assessment priority list for the underground storage tank systems using a risk weight assessment module based on facility level factor data and operational status factor data of each underground storage tank system; obtaining an actual soil gas detection data for each underground storage tank system after conducting an environmental site assessment on the priority list; and generating an investigation list according to the contamination potential assessment result of each underground storage tank system using a contamination potential assessment module based on the actual soil gas detection data as a basis for subsequent investigation and regulation on the underground storage tank systems.

Abstract: An image processing training method includes the following steps. A template label image is obtained, in which the template label image comprises a label corresponding to a target. A plurality of first reference images are obtained, in which each of the first reference images comprises object image data corresponding to the target. A target image according to the template label image and the first reference images is generated, in which the target image comprises a generated object, a contour of the generated object is generated according to the template label image, and a color or a texture of the target image is generated according to the first reference images.

Abstract: This invention provides programmable intelligent agents that facilitate and manage voice or video conversations between human users and chatbots over the Internet or the Public Switched Telephone Network. Functions of said intelligent agents include providing the communication connectivity, coordinating the human-chatbot conversation, reacting and responding to the human user's conversational behavior, and in certain applications, sending controlling signals to peripheral devices according to intents of the conversation, or receiving data from peripheral sensors as references to alter the course of the conversation. Furthermore, a said intelligent agent can serve as a user interface that enables human users in the vicinity of the intelligent agent to engage in an interactive three-way conversation with a chatbot and remote human users.

Abstract: A method for sorting unsystematic environment risk of underground storage tank systems includes: generating an unsystematic environmental site assessment priority list for the underground storage tank systems using a risk weight assessment module based on facility level factor data and operational status factor data of each underground storage tank system; obtaining an actual soil gas detection data for each underground storage tank system after conducting an environmental site assessment on the priority list; and generating an investigation list according to the contamination potential assessment result of each underground storage tank system using a contamination potential assessment module based on the actual soil gas detection data as a basis for subsequent investigation and regulation on the underground storage tank systems.

Abstract: An image processing training method includes the following steps. A template label image is obtained, in which the template label image comprises a label corresponding to a target. A plurality of first reference images are obtained, in which each of the first reference images comprises object image data corresponding to the target. A target image according to the template label image and the first reference images is generated, in which the target image comprises a generated object, a contour of the generated object is generated according to the template label image, and a color or a texture of the target image is generated according to the first reference images.

Abstract: A dynamic process screening method for a factory in operation includes: a pre-step, a first level assessment, a second level assessment, a third level assessment, a fourth level assessment, a correction assessment; and an assessment priority list including adjusting the weights of the first, second, third and fourth assessments, and based on the correction assessment, so as to form a new investigation list. The dynamic process screening method is capable of systematically providing assessment result which reflects the actual condition of the factories, making it more efficient to perform follow-up investigation and management of the factories.

Abstract: A pixel driving circuit is provided, including first, second, third, fourth, and fifth switching devices and first and second capacitors. The first switching device has a first terminal coupled to a power source voltage, and a control terminal coupled to a first scan signal line. The second switching device has a first terminal coupled to a second terminal of the first switching device, a second terminal coupled between a first node and an emitting device, and a control terminal coupled to a second node. The third switching device has a first terminal coupled to the second node, a second terminal coupled between the first terminal of the second switching device and the second terminal of the first switching device, and a control terminal coupled to a second scan signal line.

Abstract: A pixel driving circuit is provided, including first, second, third, fourth, and fifth switching devices and first and second capacitors. The first switching device has a first terminal coupled to a power source voltage, and a control terminal coupled to a first scan signal line. The second switching device has a first terminal coupled to a second terminal of the first switching device, a second terminal coupled between a first node and an emitting device, and a control terminal coupled to a second node. The third switching device has a first terminal coupled to the second node, a second terminal coupled between the first terminal of the second switching device and the second terminal of the first switching device, and a control terminal coupled to a second scan signal line.