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43 results found

Trademark Assignment XML (1955 - Present)

Data provided by  United States Patent and Trademark Office

Assignment (ownership) text data (no images).

Tags: trademark,uspto,xml,application,assignment,change,ownership,pending,recordation,registered,text,

Modified: 2022-07-29

Views: 0

Trademark Trial and Appeal Board (TTAB) XML (1951 - Present)

Data provided by  United States Patent and Trademark Office

Trademark Trial and Appeal Board (TTAB) text data (no images).

Tags: ttab,trademark trial and appeal board,uspto,xml,application,pending,registered,text,

Modified: 2022-07-29

Views: 0

Trademark Case Files Dataset for Academia and Researchers (1870 - 2021)

Data provided by  United States Patent and Trademark Office

Contains detailed information on 7.0 million trademark applications filed with or registrations issued by the USPTO between 1870 and 2020.

Tags: trademark,uspto,application,classification,number,csv,design search code,dta,filing date,goods and services,pending,pseudo mark,registered,registration date,registration number,serial number,stata,status code,text,word mark,

Modified: 2022-07-29

Views: 0

Trademark Assignment Data for Academia and Researchers (1952 - 2021)

Data provided by  United States Patent and Trademark Office

Contains detailed information on 786,931 assignments and other transactions recorded at the USPTO between 1952 and 2020 and involving 1,491,485 million unique trademark properties.

Tags: trademark,uspto,application,assignment,change,csv,dta,ownership,pending,recordation,registered,stata,text,

Modified: 2022-07-29

Views: 0

Simantha: Simulation for Manufacturing

Data provided by  National Institute of Standards and Technology

Simantha is a discrete event simulation package written in Python that is designed to model the behavior of discrete manufacturing systems. Specifically, it focuses on asynchronous production lines with finite buffers. It also provides functionality for modeling the degradation and maintenance of machines in these systems. Classes for five basic manufacturing objects are included: source, machine, buffer, sink, and maintainer. These objects can be defined by the user and configured in different ways to model various real-world manufacturing systems.

Tags: discrete-event simulation,manufacturing,production,maintenance,python,

Modified: 2022-07-29

Views: 0

Linear Axis Testbed at IMS Center - Run-to-Failure Experiment 01

Data provided by  National Institute of Standards and Technology

A linear axis testbed at the Center for Intelligent Maintenance Systems (IMS Center) at the University of Cincinnati was run to failure (the detection of backlash) over one year with periodic data collected from an inertial measurement unit (IMU) on the carriage, two triaxial accelerometers on the ball nut, and the controller.

Tags: manufacturing,Industry 4.0,smart manufacturing,linear axis,machine tool,ball screw,backlash,sensor,accelerometer,inertial measurement unit,IMU,error motion,data analysis,monitoring,diagnostics,

Modified: 2022-07-29

Views: 0

Smart Investment Tool

Data provided by  National Institute of Standards and Technology

This tool calculates metrics for investment analysis documented in NIST Advanced manufacturing Series 200-5. It calculates net present value, internal rate of return, and payback period along with executing sensitivity analysis using Monte Carlo techniques. The tool helps to identify the most economical projects/investments. For instance, it could be used to identify the most economical heating and cooling system or it might be used to rank a set of potential investments.

Tags: net present value,internal rate of return,payback,investment,monte carlo,manufacturing,cost effective,economics,

Modified: 2022-07-29

Views: 0

Process and robot data from a two robot workcell representative performing representative manufacturing operations.

Data provided by  National Institute of Standards and Technology

This data set is captured from a robot workcell that is performing activities representative of several manufacturing operations. The workcell contains two, 6-degree-of-freedom robot manipulators where one robot is performing material handling operations (e.g., transport parts into and out of a specific work space) while the other robot is performing a simulated precision operation (e.g., the robot touching the center of a part with a tool tip that leaves a mark on the part). This precision operation is intended to represent a precise manufacturing operation (e.g., welding, machining).

Tags: Condition Monitoring,diagnostics,robotics,manufacturing,prognostics,Workcell,

Modified: 2022-07-29

Views: 0

Exoskeleton Performance Data

Data provided by  National Institute of Standards and Technology

The National Institute of Standards and Technology, Intelligent Systems Division has collected data measuring human subjects, while performing common, simulated industrial manufacturing tasks with and without wearing an exoskeleton. Five tests were completed as part of a research study to develop measurement science towards standard test methods. For simulated industrial manufacturing tasks were performed using a novel, now standardized apparatus, called the Position and Load Test Apparatus for Exoskeletons (PoLoTAE).

Tags: Exoskeleton,Exosuits Research,Standard Test Methods,robotics,manufacturing,

Modified: 2022-07-29

Views: 0

Data and Results from Three Peg-in-Hole Experiments for Improving Insertion Tasks

Data provided by  National Institute of Standards and Technology

A method was developed to reduce the point-based registration error by restoring the rigid body condition (RRBC method). Registration is the process of transforming one coordinate frame to another coordinate frame. The coordinate frame from which points are transformed is called the working frame and the coordinate frame to which points are transformed is called the destination frame. The RRBC method can be used to reduce the uncertainty of a hole location and thus, improve the success rate for insertion tasks.

Tags: assembly,insertion task,manufacturing,peg-in-hole experiments,rigid-body,registration,registration error,target registration error.,

Modified: 2022-07-29

Views: 0