Abstract: Systems and methods generate soft-sensor data for semiconductor manufacturing using a regression-enhanced diffusion model. A training set is built from wafer-process data and measurement data from key steps. The diffusion model is trained iteratively; after each round, a subset of virtual samples is selected via non-dominated sorting and crowding-distance criteria and appended to the training set. After training, random Gaussian noise is provided to the model's reverse denoising module to synthesize virtual process data, which serve as soft-sensor technical data for the key steps. The approach improves modeling of complex mappings between process variables and measurement targets, yields representative, high-quality synthetic samples for training soft-sensor models, and enhances the performance and robustness of soft-sensor applications in semiconductor manufacturing.

Abstract: A mobile phone APP loans system is arranged on a network device constituted by a mobile phone, a server, a third-party service server and a bank server linked via a mobile communication network and the Internet. The mobile phone APP loans system includes a Fintech mobile phone system APP, load balancing module, mobile phone business module, short message service module, face scanning module, uniform interface module, miraculous foresight module, accounting module, clearing service module, bank interface module, third-party service module, and bank terminal module. A client fills out loan application information, and carries out cash withdrawal and repayment operations via the Fintech mobile phone system APP. Compared with the prior art, a client may borrow money on a mobile phone via a mobile phone-based loan server, which is convenient in operation, and there is no need to queue up in a banking office, and the loan speed is fast.

Abstract: A light app offline updating method and a device and a terminal device are provided. When a terminal device obtains from a server, in case of detecting start-up operation of the light app, an offline configuration item corresponding to the light app, it processes, according to the offline configuration item, offline data in an offline partition of the light app, thus reaching the object of controlling elimination of offline data of the light app by a cloud server and providing users with web browsing under weak network signal or even no network signal, thereby improving user experience.

Abstract: A light app offline updating method and a device and a terminal device are provided. When a terminal device obtains from a server, in case of detecting start-up operation of the light app, an offline configuration item corresponding to the light app, it processes, according to the offline configuration item, offline data in an offline partition of the light app, thus reaching the object of controlling elimination of offline data of the light app by a cloud server and providing users with web browsing under weak network signal or even no network signal, thereby improving user experience.