TL;DR: In this article, the authors describe a data model and corresponding data structures for describing combinatorial experiments with a plurality of properties derived from a chemical experiment, including a library of materials.
Abstract: Systems, methods, and apparatus, including computer program apparatus, are described for implementing techniques for processing data from a combinatorial experiment. The techniques include receiving data (210) from a chemical experiment on a library of materials having a plurality of members and generating a representation of the chemical experiment (230). The representation includes data defining an experiment object having a plurality of properties derived from the chemical experiment. The experiment object is associated with the library of materials. The representation also includes data defining one or more element objects (250). Each element object is associated with one or more members of the library of materials (260). A data model and corresponding data structures for describing such experiments are also disclosed.
TL;DR: In this paper, a data model and corresponding data structures for describing combinatorial experiments are described, together with corresponding data structure for describing such experiments, as well as corresponding data models for describing the experiments.
Abstract: Systems, methods, and apparatus, including computer program apparatus, are described for implementing techniques for processing data from a combinatorial experiment. The techniques include receiving data from a chemical experiment on a library of materials having a plurality of members and generating a representation of the chemical experiment. The representation includes data defining an experiment object having a plurality of properties derived from the chemical experiment. The experiment object is associated with the library of materials. The representation also includes data defining one or more element objects. Each element object is associated with one or more members of the library of materials. A data model and corresponding data structures for describing such experiments are also disclosed.
TL;DR: The magnetic suspension experiment device provided by the utility model provides an experiment platform for researching the physical model and control method in the teaching experiment and course design of the courses of control theory, computer control, physics, etc as discussed by the authors.
Abstract: The utility model relates to a magnetic suspension experiment device which comprises the following components: a magnetic suspension experiment object, a magnetic suspension signal processing unit anda computer control unit. The magnetic suspension experiment object comprises an electromagnet, a position detector, a light source, a magnetic suspension ball, a base and a bracket. The utility modelis characterized in that: the electromagnet is fixed to the top end of the square bracket; the magnetic suspension ball is positioned at the right lower part of the iron core of electromagnet; the position detector and the light source are respectively fixed to the left side and right side of the magnetic suspension ball; the base is fixed to the bottom of the square bracket; the magnetic suspension experiment object can be kept to flat through adjusting the balancing screws on the base; the magnetic suspension signal processing unit comprises a PSD signal processor, a data acquisition interface and a coil driving circuit; and the computer control unit is provided with a PCI data acquisition card and control software. The magnetic suspension experiment device provided by the utility modelprovides an experiment platform for researching the physical model and control method in the teaching experiment and course design of the courses of control theory, computer control, physics, etc.
TL;DR: In this article, an experiment device with computer control is provided, which comprises a sensor, a signal shaping circuit, a data collection circuit and a digital analysis circuit connected to corresponding experiment device.
Abstract: An experiment device with computer control is provided, which comprises a sensor, a signal shaping circuit, a data collection circuit and a digital analysis circuit connected to corresponding experiment device. The output end of the sensor and the signal shaping circuit is connected to the data collection circuit; the output end of the data collection circuit is connected to a computer system via a USB communication control circuit and a serial port level conversion circuit; meanwhile, the data collection circuit is connected to a data storage device. The utility model integrates the sensor technology, the data collection technology and application software technology and applies them to comprehensive physical and chemical experiment teaching, so as to accomplish the measurement of experiment object, experiment data processing and analysis, realize the experiment result and combine three basic method including word expression, mathematic axiom and function graph.
TL;DR: In this article, an optimized emissivity measurement model is proposed to measure the emissivities of an object to be measured through using the optimized EM measurement model, and the measurement result is accurate.
Abstract: The invention discloses an emissivity measurement method. The method comprises the processes of establishing an optimized emissivity measurement model, and measuring the emissivity of an object to be measured through using the optimized emissivity measurement model. The optimized emissivity measurement model establishing process concretely comprises the following steps: establishing an initial emissivity measurement model, selecting an object having a same material with the object to be measured as an experiment object, setting an emissivity estimation value epsilon'o, and calculating the set temperature T''obj of the experiment object; putting the experiment object in a blackbody furnace, setting the temperature of the blackbody furnace to be T''obj, and calculating the temperature Tobj of the experiment object in the blackbody furnace and the ambient temperature Tsur outside the blackbody furnace after stable reading; capturing heat radiation itot of the experiment body by using an infrared thermal imager; substituting the itot, the Tobj and the Tsur into the emissivity measurement model, calculating to obtain the emissivity epsilono of the experiment object, comparing the epsilono with the epsilon'o, and ending optimization if the epsilono is greater than the epsilon'o; and resetting the epsilon'o if the epsilono is smaller than the epsilon'o, and re-optimizing until the epsilono is greater than the epsilon'o. The method is simple and fast; and when the optimized emissivity measurement model is used to measure the emissivity of the object, the measurement result is accurate.