Data Systems Company

Digiwin Co., Ltd.

Data Systems Consulting Co., Ltd.

Digiwin Software Co., Ltd

Guoxin Sun

Tuo Zhang

Lei Feng

Xiaoliang Ma

Kuan-Hui Wu

Chao-Lin Wu

Xu Jin

Jun Zhang

Xiao Zhou

Yihai Gao

Tsai-Yen Lin

Shih-Shuan Hung

Hung-Ta Chou

Chun-Chieh Hsu

Rongjun Shi

An integrated system including an adapter, a first PaaS module, and a second PaaS module and an integrated method between multi-cloud applications are provided. When a tenant device accesses the first PaaS module so that the first PaaS obtains a login request, the first PaaS module generates first token data according to the login request and provides the first token data to the tenant device. When the tenant device provides login data to a second SaaS module to log in to the second SaaS module for the first time, the second SaaS module provides the login data to the adapter. The adapter verifies and parses the login data to generate the first token data and tenant information, obtains second token data according to the tenant information, and maps the second token data to the first token data. The integrated system and the integrated method can efficiently integrate the SaaS modules.

Integrated system and integrated method between multi-cloud applications

A software development system and a software development method are provided. The software development system includes an electronic device and a server. The electronic device executes an interface module to obtain input data. The server includes a database, a query matching module, and a component assembly module. The query matching module obtains at least one of multiple target components and at least one functional component according to the input data and the database. The component assembly module assembles the detected target components to generate an integrated component. The component assembly module provides the integrated component to the database. The component assembly module provides the functional component to the database, so as to improve the quality and the efficiency of software development.

System and method using assembling components for developing software

A processing method and a processing system of a project process are provided. The processing method includes the following steps. A processor defines a matching model according to a relationship among a plurality of pieces of document data and a relationship between the document data and a plurality of components. The processor calculates the components according to the matching model to output a plurality of recommended components in a design phase of a target project. The processor performs a packaging operation to form a plan according to a plurality of selected components. Each of a plurality of nodes in the plan includes corresponding plan coordinates. The processor specifies a first node among the nodes as a starting node to start executing the target project according to plan coordinates of an input data instance in a running phase. The first node and the input data instance have the same plan coordinates, so the project process is accordingly designed based on data.

Method and system for designing project process based on data and matching model

An interface generation system and an interface generation method are provided. A processor executes a design module, an analysis module, a metadata module, and a rendering module. The design module receives configuration data. The metadata module calls metadata according to an application program interface (API) corresponding to the configuration data and stores the metadata of a plurality of APIs. The analysis module analyzes the configuration data and the metadata to generate interface data according to the metadata of the APIs and a data feature. The rendering module displays interface content on a display according to the interface data to provide an operation interface and a data interface corresponding to the configuration data.

Interface generation system and interface generation method

A data processing system and a data processing method are provided. The data processing system includes a processor and a storage device. The storage device stores a data processing module, a feature processing module and a classification conversion module. The processor is electrically connected to the storage device, and executes the data processing module, the feature processing module and the classification conversion module. The data processing module generates summary data according to multiple form data. The data processing module performs feature index calculation on the summary data to generate feature index data. The data processing module preprocesses the feature index data to generate a sample label data set. The feature processing module generates a training data set based on the sample label data set. The classification conversion module builds a classification model based on the training data set, and builds a structured semantic knowledge base based on the classification model.

Data processing system and data processing method

A data construction system and a data construction method. The data construction system includes a construction process management unit and a data construction unit. The data construction unit is configured to receive an initiation construction request. The data construction unit obtains corresponding construction rule data from the construction process management unit according to the initiation construction request, and sends an obtaining source data request to the construction process management unit. The construction process management unit receives the obtaining source data request, and calculates a new access location according to a source data identification number and access location information in the obtaining source data request. The construction process management unit obtains corresponding source data according to the new access location, and updates the access location information according to the new access location. The construction process management unit sends the corresponding source data to the data construction unit.

Data construction system and data construction method

The disclosure provides a data matching device and a data matching method. The data matching device includes a storage device and a processor. The storage device is configured to store a matching module and a data package module. The processor is coupled to the storage device and configured to receive raw data. The processor executes the data package module to generate structured and packaged data according to the raw data. The processor executes the matching module to match the structured and packaged data to a corresponding task logic. The data matching device and the data matching method in the disclosure may automatically perform data package and task matching.

Data matching device and data matching method

A data fusion system and a data fusion method that may effectively reduce redundancy and complexity after data amplification. The data fusion system includes a storage device and a processor. The storage device is configured to store a feature extraction module, a model building module, a model disassembly module and a data fusion module. The processor is electrically connected to the storage device. The processor is configured to execute the feature extraction module, the model building module, the model disassembly module and the data fusion module, and is configured to receive multiple form data. The feature extraction module extracts multiple feature data from the form data. The model building module performs a preprocessing operation on the feature data, and builds a prediction model. The model disassembly module disassembles the prediction model into multiple triples data. The data fusion module fuses the triples data into knowledge graph data.

Data fusion system and data fusion method

A data combination device and a data combination method are provided. The data combination device includes a storage device and a processor. The storage device is configured to store component instances. The processor is coupled to the storage device and is configured to receive a combining instruction. The processor parses a component description and data type in the combining instruction. The processor obtains a plurality of matching instances corresponding to the component description from the plurality of component instances. The processor packages the plurality of matching instances into package data.

Data combination device and data combination method

A data processing system and a method of automatically initiating a process. The data processing system includes a local server and a cloud server. The cloud server includes a storage apparatus and a processor. The processor is coupled to the storage apparatus, and configured to executed a file identification-parsing device and a detection system. The local server outputs a file to the cloud server, such that the file identification-parsing device performs an identification-parsing operation to generate a file content. The cloud server stores the file content in a database. The detection system performs a detection operation on the database to generate a file change content. The detection system generates business process information according to the file change content, and outputs the business process information to a process system. The process system executes the business process information, and displays manual operation information and an execution result on a display screen.

Data processing system and method of automatically initiating process

A data displaying system and a data displaying method are provided. The data displaying system includes a storage device and a processor. The processor executes a plurality of modules in the storage device. A collection module accesses a database to retrieve historical display data. The historical display data include a plurality of fields. An analysis module calculates a plurality of length values of the historical display data in the respective fields to generate length data. The analysis module counts a distribution of the length data and generates target field widths corresponding to the fields based on a threshold and the distribution of the length data. An interface module outputs the target field widths to an electronic device, which allows the electronic device to display current display data in the electronic device based on the target field widths and thus improve user experience.

System for data displaying and operating method thereof

A data-driven execution system and an execution method thereof are provided. The data-driven execution system includes a storage device and a processor. The storage device is used for storing multiple modules. The processor is coupled to the storage device and used to execute multiple modules. The processor receives a data processing request. The processor searches a data graph according to the data processing request to obtain at least one task path. The processor generates a recommended plan according to one of the at least one task path.

Data-driven execution system and execution method thereof

A structured data analysis system and a method for structured data analysis are provided. The structured data analysis system includes a memory and a processor. The processor obtains input data from an electronic device and converts the same into tree structure data to form nodes. The processor selects a first and a second node among the nodes. The first and the second nodes respectively correspond to a first and a second collection among the collections in the input data. The processor generates missing judgment result by judging whether the first node is missing according to a first amount of the first collection and a second amount of elements included in the second collection. The processor judges that whether the processor generates output data to the server based on original field data according to the missing judgment result to enable the server to operate correctly according to the completed output data.

Structured data analysis system and method for structured data analysis

A version management system and method are provided. The version management system includes a cloud server and a local server. When a first cloud application programming interface of a first local application programming interface corresponding to a first tenant is updated from a first version to a second version, a cloud version update module publishes first configuration data to be version updated to a configuration repository. When the cloud version update module judges that the first local application programming interface is updated from the first version to the second version through a local version update module, the cloud version update module updates a cloud version correspondence table. When the cloud server calls the first cloud application programming interface, a cloud configuration management module loads the first configuration data to be version updated, so that the cloud server executes the second version of the first cloud application programming interface.

Version management system and version management method

A development system with automatic upgrade function and an automatic upgrade method of a development system are provided. The development system includes a memory apparatus and a processor. The memory apparatus stores multiple application modules, an application software upgrade method package, and multiple software packages corresponding to the application modules. The processor is coupled to the memory apparatus and executes the application software upgrade method package to execute an upgrade development system program, where the processor analyzes versions of the software packages, maintains a software package list according to an analysis result, reads a software repository according to the software package list to obtain a software package in a new version, and installs the software package in the new version to upgrade at least one of the application modules.

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Shanghai, China

Guoxin Sun