Abstract: A method for compressing time series data includes: reading original data including time series data; measuring a unit of the original data; determining a threshold for determining a range allowing for a difference between compressed data and the original data; performing longest distance downsampling to preserve an abnormal point of the original data; storing a start point and an end point of the original data; performing drop-out on the longest distance downsampling result, wherein the drop-out is not performed for the start point and the end point; and if the number of values of the original data is smaller than ? times the original data length, storing at least one of the values of the original data as a reference point, wherein ? is a real number having a value between 0 and 1.

Abstract: A method for compressing time series data includes: reading original data including time series data; measuring a unit of the original data; determining a threshold for determining a range allowing for a difference between compressed data and the original data; performing longest distance downsampling to preserve an abnormal point of the original data; storing a start point and an end point of the original data; performing drop-out on the longest distance downsampling result, wherein the drop-out is not performed for the start point and the end point; and if the number of values of the original data is smaller than a times the original data length, storing at least one of the values of the original data as a reference point, wherein ? is a real number having a value between 0 and 1.

Abstract: The embodiments herein disclose methods and systems for predicting health of products in a manufacturing process. A method includes determining at least one of a dynamic data and a static data of at least one product from a manufacturing process steps. Further, the method includes determining and filtering at least one of a gradual change, an abrupt change and a similar data present in the at least one of the dynamic data and the static data. Further, the method includes converting the filtered at least one of the dynamic data and the static data of the at least one product into a common data format. The common data format can be stored in a common hyperspace. Further, the method includes predicting a health of the at least one product based on the common data format and the at least one product historical health information received from an apriori computer.

Abstract: A product lifecycle information management system using ubiquitous technology is provided. The system includes a service manager that comprises a service repository for registering a service using product information in a product lifecycle and multiple interface agents (IAs) for providing an interface for the service registered in the service repository. The system further includes multiple neighboring units that are connected to the service manager in order to register the service in the service manager and provide the service or that use the service registered in the service manager. The neighboring units include an integrated data storage for storing an integrated product lifecycle data model and ontology data, a Device to Ubiquitous (D2U) interface unit for providing an interface with a ubiquitous apparatus, and an external system interface unit for providing interfaces with a user terminal and an external application system.

Abstract: The present invention relates to a method of creating a non-linear process plan and an Internet-based STEP-NC system using the same, and more particularly, to a method of creating a non-linear process plan, wherein the non-linear process plan including information on a variety of alternative processes and machining sequences is established in consideration of situations in the field, thereby autonomously dealing with abnormal situations while executing optimal machining, and to an Internet-based STEP-NC system, wherein a STEP-NC part program in an XML format is created based on the established process plan so that process information can be easily exchanged with other systems via the Internet. Since the present invention provide a plurality of machining alternatives to the field, and thus, allow a STEP-NC machine tool to execute machining optimized depending on field situations and to autonomously deal with abnormal situations that may occur during machining.

Abstract: A profile of a finished part is recognized based on an inputted CAD data. A delta volume for the finished part is decomposed based on information on cutting tools and the profile. Thereafter, a dependency graph representing precedence relation between the decomposed delta volumes is generated. And then, a process sequence graph representing process plans is generated based on the dependency graph. The delta volume decomposition is performed based on information on cutting tools and a machine configuration as well as part geometry, such that the decomposed delta volumes are suitable to be cut away from a raw stock by the cutting tools.

Abstract: A method for automatically generating a part program for us in a STEP-NC (STEP-Compliant Data Interface for Numerical Controls) controller in a SFP (shop-floor programming) system based on an ISO 14649 data model is provided. First, geometric kernel data is generated by interpreting a STEP physical file or an ISO 14649 part program. Then, manufacturing features are recognized from the geometric kernel data and a process plan according to the ISO 14649 is established. Thereafter, the process plan is edited and an ISO 14649 part program is generated. Subsequently, a tool path is created based on manufacturing feature information specified in the ISO 14649 part program and the produced tool path is verified in a CNC (computer-based numerical control) apparatus. By including functions of a CAD/CAPP/CAM system, the present invention makes it possible to readily generate a part program for use in the STEP-NC on the CNC controller.

Abstract: A method for automatically generating a part program for use in a STEP-NC (STEP-Compliant Data Interface for Numerical Controls) controller in a SFP (shop-floor programming) system based on an ISO 14649 data model is provided. First, geometric kernel data is generated by interpreting a STEP physical file or an ISO 14649 part program. Then, manufacturing features are recognized from the geometric kernel data and a process plan according to the ISO 14649 is established. Thereafter, the process plan is edited and an ISO 14649 part program is generated. Subsequently, a tool path is created based on manufacturing feature information specified in the ISO 14649 part program and the produced tool path is verified in a CNC (computer-based numerical control) apparatus. By including functions of a CAD/CAPP/CAM system, the present invention makes it possible to readily generate a part program for use in the STEP-NC on the CNC controller.