Abstract: An artificial intelligence cloud diagnosis platform is provided. A subject sample is scanned to a cloud side, AI on the cloud conducts preliminary detection, and then a doctor carries out diagnosis and rechecking. The artificial intelligence cloud diagnosis improves the diagnosis accuracy, fundamentally solves the problems of insufficient technical experts and non-uniform medical resource distribution in remote areas, greatly improves the diagnosis efficiency, reduces the diagnosis cost, establishes a professional database of the same type of detection samples, and is beneficial to the further research of a disease in the later period.

Abstract: A mobile phone-based miniature microscopic image acquisition device, and image stitching and recognition methods are provided. The acquisition device comprises a support, wherein a mobile phone fixing table is provided on the support. A microscope head is provided below a camera of a mobile phone. A slide holder is provided below the microscope head, and an lighting source is provided below the slide holder. A scanning movement is performed between the slide holder and the microscope head along X and Y axes, so that images of a slide are acquired into the mobile phone. The slide sample images acquired into the mobile phone can be stitched and recognized, and can be uploaded to the cloud to be processed by cloud AI, thereby significantly improving the accuracy and efficiency of cell recognition, greatly reducing the medical cost, and ensuring more remote medical institutions can apply such technology for diagnosis.

Abstract: A miniature microscopic cell image acquisition device and an image recognition method are provided. The miniature microscopic cell image acquisition device comprises a support, wherein a movable module platform is provided on the support, and a camera module is provided on the module platform. A microscope head that is relatively fixed is provided below a camera of the camera module, a slide holder is provided below the microscope head, and a lighting source is provided below the slide holder. A scanning drive module is provided between the slide holder and the camera module to perform a scanning movement along X and Y axes, so that the slide holder and the camera module make a scanning movement along the X and Y axes, and images of a slide are acquired by the camera module in a scanning manner.

Abstract: A mobile phone-based miniature microscopic image acquisition device, and image stitching and recognition methods are provided. The acquisition device comprises a support, wherein a mobile phone fixing table is provided on the support. A microscope head is provided below a camera of a mobile phone. A slide holder is provided below the microscope head, and an lighting source is provided below the slide holder. A scanning movement is performed between the slide holder and the microscope head along X and Y axes, so that images of a slide are acquired into the mobile phone. The slide sample images acquired into the mobile phone can be stitched and recognized, and can be uploaded to the cloud to be processed by cloud AI, thereby significantly improving the accuracy and efficiency of cell recognition, greatly reducing the medical cost, and ensuring more remote medical institutions can apply such technology for diagnosis.

Abstract: An artificial intelligence cloud diagnosis platform is provided. A subject sample is scanned to a cloud side, AI on the cloud conducts preliminary detection, and then a doctor carries out diagnosis and rechecking. The artificial intelligence cloud diagnosis improves the diagnosis accuracy, fundamentally solves the problems of insufficient technical experts and non-uniform medical resource distribution in remote areas, greatly improves the diagnosis efficiency, reduces the diagnosis cost, establishes a professional database of the same type of detection samples, and is beneficial to the further research of a disease in the later period.

Abstract: A method and system for generating an optimized solution for assigning traffic loads to channels in SONET rings in cooperation with a computer having sufficient memory. The method and system utilize a Mixed Integer Program (MIP) having corresponding variables necessary to model the cost of Terminal Multiplexers, Add/Drop Multiplexers and corresponding interface ports necessary to route the desired traffic loads. By routing traffic loads to reduce computation time and imposing mathematical bounds on the MIP variables, the number of possible MIP solutions is reduced. The Mixed Integer Program is minimized in accordance with the traffic routing and imposed mathematical bounds such that an electrical signal is generated which corresponds to the optimized traffic load assignment information. The signal is converted to digital format whereupon it may be retrieved from computer memory and displayed to the user.

Abstract: Methods and systems of traffic routing in a circuit switched communication network having a plurality of switches and a plurality of trunk groups connecting the switches are disclosed. The methods include a step of determining a set of alternate routing paths for each of a plurality of ordered pairs of the switches, wherein the number of alternate routing paths through each of the trunk groups is constrained to be less than a corresponding first predetermined threshold. In one embodiment, the alternate routing paths are determined by computing a solution to a predetermined integer programming problem. In another embodiment, a heuristic technique is used to determine the alternate routing paths.

Abstract: A method for generating an optimized solution for assigning traffic loads to channels in SONET rings in cooperation with a computer having sufficient memory. The method utilizes a Mixed Integer Program (MIP) having corresponding variables necessary to model the cost of Terminal Multiplexers, Add/Drop Multiplexers and corresponding interface ports necessary to route the desired traffic loads. By routing traffic loads to reduce computation time and imposing mathematical bounds on the MIP variables, the number of possible MIP solutions is reduced. The Mixed integer Program is minimized in accordance with the traffic routing and imposed mathematical bounds such that an electrical signal is generated which corresponds to the optimized traffic load assignment information. The signal is converted to digital format whereupon it may be retrieved from computer memory and displayed to the user.

Abstract: A method and system is provided for use in cooperation with a computer having a memory for generating an optimized transition plan for the placement and interconnection of carrier hubs in a local access network having a plurality of Central Offices (COs), Serving Wire Centers (SWCs) and Point-of-Presence (POP) exchange carriers such that calls may be routed at least cost. In operation, the total number and location of existing SWCs within the network must be determined along with the total switched and special access demand. Thereafter, known tariff rates for selected channel terminals, transport channels and multiplexers must be determined along with the total number of DS3 lines from each SWC to its corresponding POP. By expressing determined network demand as selected mixed-integer program decision variables and determining a corresponding set of logical constraints consistent with these decision variables, the optimized placement of hubs within the local access network may be determined.