Abstract: The present invention relates to a non-fullerene acceptor compound containing benzoselenadiazole, and organic optoelectronic devices comprising the same.

Abstract: A heat dissipation system of an electronic device including a body, a plurality of heat sources disposed in the body, and at least one centrifugal heat dissipation fan disposed in the body is provided. The centrifugal heat dissipation fan includes a housing and an impeller disposed in the housing on an axis. The housing has at least one inlet on the axis and has a plurality of outlets in different radial directions, and the plurality of outlets respectively correspond to the plurality of heat sources.

Abstract: A method for manufacturing a conductive circuit board includes the steps of: preparing a substrate having opposite upper and lower surfaces, and at least one via hole extending through the upper and lower surfaces and defined by an inner surface; forming a compound metal layer on at least one of the upper surface and the lower surface of the substrate and on the inner surface; etching the compound metal layer by a laser beam, so that a patterned metal circuit layer having a predetermined pattern formed on the substrate; and forming a surface finish layer on a top surface of the patterned metal circuit layer, so as to form a conductive circuit layer. A conductive circuit board manufactured therefrom is also enclosed.

Abstract: An optical element driving mechanism is provided and includes a fixed assembly, a movable assembly, a driving assembly and a circuit assembly. The movable assembly is configured to connect an optical element, the movable assembly is movable relative to the fixed assembly, and the optical element has an optical axis. The driving assembly is configured to drive the movable assembly to move relative to the fixed assembly. The circuit assembly includes a plurality of circuits and is affixed to the fixed assembly.

Abstract: An optical element driving mechanism is provided and includes a fixed assembly, a movable assembly, a driving assembly and a stopping assembly. The fixed assembly has a main axis. The movable assembly is configured to connect an optical element, and the movable assembly is movable relative to the fixed assembly. The driving assembly is configured to drive the movable assembly to move relative to the fixed assembly. The stopping assembly is configured to limit the movement of the movable assembly relative to the fixed assembly within a range of motion.

Abstract: An electronic package structure includes first and second package modules combined with each other. The first package module includes a substrate and a first electronic component disposed thereon, at least one second electronic component, and an insulation film. The first electronic component and the second electronic component are adjacent to each other. The insulation film includes a base material and a foam glue body, and the foam glue body is viscous and compressible. The second package module includes a heat dissipation plate and a liquid metal and an insulation protrusion portion disposed thereon. The liquid metal is pressed by the heat dissipation plate and the first electronic component. The insulation protrusion portion covers and abuts against the insulation film to press the foam glue body through the base material so as to deform the foam glue body and enable the foam glue body to cover the second electronic component.

Abstract: A document processing system and method for performing document classification by machine learning include an input module, a processing module, and at least one storage module preconfigured with a classification folder matching a code. Upon completion of a first-instance model construction procedure, the input module receives a document image. The processing module compares the document image with a machine learning model information to generate a computation result and stores the document image in the classification folder according to the computation result. Therefore, classification of the document images is automated according to the code of the corresponding classification folder, thereby enhancing the accuracy and efficiency of document classification.

Abstract: A document processing device comprises an input module used to obtain paper feed information, a human-computer interaction interface and a processor. The processor is connected to the input module and the human-computer interaction interface and drives the human-computer interaction interface according to the paper feed information, so that the human-computer interaction interface provides interactive prompt information. The processor executes a document processing mode according to command information after the human-computer interaction interface received the command information. Thereby, the document processing device can provide the interactive prompt information in real time according to the paper feed information, prompt a user to perform corresponding operations and achieve the purpose of improving operational efficiency and ease of use of the document processing device.

Abstract: An image integrated printing system includes an image capturing device, a host device, and a printing device. The image capturing device is for capturing an image of an object. The host device is electrically connected to the image capturing device and includes a storage unit, a recognition unit, and a processing unit. The storage unit is for storing the image transmitted from the image capturing device and a form. The recognition unit is for recognizing a field corresponding to the image from the form. The processing unit is electrically connected to the storage unit and the recognition unit and for combining the image with the field corresponding to the image to generate an output file. The printing device is electrically connected to the host device and for printing the output file.

Abstract: An electronic device having a unique ticket and an information processing method using the unique ticket are introduced. The information processing method is executed with the electronic device and includes obtaining at least one ticket datum and generating at least one unique code; including the unique code in the ticket datum; generating a tamper-proof on-file ticket datum according to the ticket datum having the unique code. By generating the tamper-proof on-file ticket datum according to the ticket datum having the unique code, it ensures the security of the tamper-proof on-file ticket datum. Furthermore, the unique code in the tamper-proof on-file ticket datum enables verification to be quickly performed, thereby enhancing ticket security and verification efficiency.

Abstract: A ballot processing device, system, and method for a secret ballot are introduced. The ballot processing method, executed with a multifunction printer (MFP) connected to a remote end through a network, includes inputting at least one ballot image and assigning thereto a unique code each; creating a tamper-proof reference ballot file according to the ballot image having the unique code; sending the tamper-proof reference ballot file to the remote end, and outputting a paper reference ballot accordingly. Creating the tamper-proof reference ballot file according to the ballot image having the unique code and outputting the paper reference ballot ensures the security and accuracy of the paper reference ballot. In addition, the unique code enables a quick check. Therefore, the security, reliability and check efficiency of ballots is improved.

Abstract: An office machine with intelligent sleep and wake function and a control method thereof are introduced. The office machine comprises a storage module, image module, processing module, and power supply module. The processing module is connected to the storage module, image module, and power supply module. The storage module stores user data and first feature data. The processing module obtains a user image from the image module to generate second feature data and then process the first and second feature data to generate comparison result information. After determining user confirmation information according to the comparison result information, the processing module sends a first control signal to the power module, such that the office machine wakes up automatically from sleep. The office machine wakes up automatically when a user approaches the office machine, so as to save time and improve work efficiency and ease of use.

Abstract: A rotary coding disc and a method for designing the same is applied to an optical encoder. N-bit De Bruijn sequences include 1 and 0. The N-bit De Bruijn sequence has the maximum binary code and the minimum binary code. When a binary code having M bits is located between the maximum binary code and the minimum binary code, the corresponding N-bit De Bruijn sequences are selected as diagonal De Bruijn sequences, wherein 2 N - 2 ? N 2 - N 2 < M < 2 N - 2 ? N 2 + N 2 . The De Bruijn sequence may be converted into a De Bruijn energy level. The total number of 1 consecutively neighboring 0 and (N?1) consecutively neighboring N of the De Bruijn energy level is calculated. The transparent areas and the opaque areas are located based on the De Bruijn sequence or the De Bruijn energy level that corresponds to the total number less than or equal to N.

Abstract: A rotary coding disc and a method for designing the same is applied to an optical encoder. N-bit De Bruijn sequences include 1 and 0. The N-bit De Bruijn sequence has the maximum binary code and the minimum binary code. When a binary code having M bits is located between the maximum binary code and the minimum binary code, the corresponding N-bit De Bruijn sequences are selected as diagonal De Bruijn sequences, wherein 2 N - 2 ? N 2 - N 2 < M < 2 N - 2 ? N 2 + N 2 . The De Bruijn sequence may be converted into a De Bruijn energy level. The total number of 1 consecutively neighboring 0 and (N?1) consecutively neighboring N of the De Bruijn energy level is calculated. The transparent areas and the opaque areas are located based on the De Bruijn sequence or the De Bruijn energy level that corresponds to the total number less than or equal to N.

Abstract: A document processing system and method for performing document classification by machine learning include an input module, a processing module, and at least one storage module preconfigured with a classification folder matching a code. Upon completion of a first-instance model construction procedure, the input module receives a document image. The processing module compares the document image with a machine learning model information to generate a computation result and stores the document image in the classification folder according to the computation result. Therefore, classification of the document images is automated according to the code of the corresponding classification folder, thereby enhancing the accuracy and efficiency of document classification.

Abstract: A method of searching an image file includes: utilizing a login module to log in a user account; utilizing an input module to store an image file at a predetermined location; utilizing an information capturing module to capture at least one image information of the image file stored at the predetermined location; utilizing an index building module to build at least one index tag corresponding to the image file according to the at least one image information captured by the information capturing module; utilizing a searching module to receive at least one searching condition so as to search the at least one index tag according to the at least one searching condition; and utilizing a display module to display a searching result corresponding to the image file when the at least one index tag matches with the at least one searching condition.

Abstract: An image filing method including following steps is provided. At least one sheet is searched form from a plurality of scan image data by an office machine or a computer connected to the scanner. the plurality of scan image data is divided into M groups, and the at least one sheet form is set up in a first image data of each of M groups when there are M sheet forms searched from the plurality of scan image data, wherein M is an integral larger than 1. A keyword string is searched in each of the M sheet forms and an encoded string arranged after the keyword string is identified. M files corresponding to the M groups are created and named according to the encoded strings in each of the M sheet forms.

Abstract: An image capturing method and an image capturing device using the same are provided. The image capturing method includes the following steps. Firstly, the image capturing device receives a paper sheet having a plurality of regions. Then, the image capturing device provides a user interface. Then, in response to an operation of a user to the user interface, an arrangement regulation of the regions is set. Then, the image capturing device captures a plurality of region images of the regions of the paper sheet. Then, the image capturing device arranges the region images according to the arrangement regulation.

Abstract: A controlled device, a control device, a control system using the same and a control method using the same are provided. The controlled device is configured for receiving a trigger event, and outputting a trigger signal in response to the trigger event. The control device is configured for receiving the trigger signal from the controlled device, and loading an application program corresponding to the trigger event in response to the trigger signal.

Abstract: A shooting device including a camera lens and a controller is provided. The camera lens is configured to shoot a picture. The controller, electronically coupled to the camera lens, divides the picture into a plurality of initial blocks each corresponding to an initial brightness value, selects at least one selection block from the initial blocks, and calculates an average brightness value according to the initial brightness value corresponding to the at least one selection block.