The Experts below are selected from a list of 306 Experts worldwide ranked by ideXlab platform
Hans-georg Kemper - One of the best experts on this subject based on the ideXlab platform.
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HICSS - A Concept for Extracting and Sharing Technical Data from Digital Product Models for Subsequent Processing
2015 48th Hawaii International Conference on System Sciences, 2015Co-Authors: Jens F. Lachenmaier, Heiner Lasi, Hans-georg KemperAbstract:In order to develop new products, design engineers build digital product models leveraged by 3D-Computer-Aided-Design (CAD) systems. During design, they specify various aspects of the product: e.g., Which technical elements like wholes, pockets and materials the product consists of, or which tolerances have to be observed during production. This information is vital to stakeholders in Subsequent processes like production planning and control as well as process engineering or quality management. Nowadays, the information is shared via the distribution of technical drawings, which implies various problems (e.g. Change of media, different CAD-systems in use by different organizational units, or unnecessary overhead to retrieve the required information from the model). In order to mitigate these problems, this paper proposes an approach to extract the information that is relevant to the stakeholders from various CAD-systems, and store this information in a vendor-neutral format, which other application systems or employees are able to process.
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A Concept for Extracting and Sharing Technical Data from Digital Product Models for Subsequent Processing
2015 48th Hawaii International Conference on System Sciences, 2015Co-Authors: Jens F. Lachenmaier, Heiner Lasi, Hans-georg KemperAbstract:In order to develop new products, design engineers build digital product models leveraged by 3D-Computer-Aided-Design (CAD) systems. During design, they specify various aspects of the product: e.g., Which technical elements like wholes, pockets and materials the product consists of, or which tolerances have to be observed during production. This information is vital to stakeholders in Subsequent processes like production planning and control as well as process engineering or quality management. Nowadays, the information is shared via the distribution of technical drawings, which implies various problems (e.g. Change of media, different CAD-systems in use by different organizational units, or unnecessary overhead to retrieve the required information from the model). In order to mitigate these problems, this paper proposes an approach to extract the information that is relevant to the stakeholders from various CAD-systems, and store this information in a vendor-neutral format, which other application systems or employees are able to process.
Jens F. Lachenmaier - One of the best experts on this subject based on the ideXlab platform.
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HICSS - A Concept for Extracting and Sharing Technical Data from Digital Product Models for Subsequent Processing
2015 48th Hawaii International Conference on System Sciences, 2015Co-Authors: Jens F. Lachenmaier, Heiner Lasi, Hans-georg KemperAbstract:In order to develop new products, design engineers build digital product models leveraged by 3D-Computer-Aided-Design (CAD) systems. During design, they specify various aspects of the product: e.g., Which technical elements like wholes, pockets and materials the product consists of, or which tolerances have to be observed during production. This information is vital to stakeholders in Subsequent processes like production planning and control as well as process engineering or quality management. Nowadays, the information is shared via the distribution of technical drawings, which implies various problems (e.g. Change of media, different CAD-systems in use by different organizational units, or unnecessary overhead to retrieve the required information from the model). In order to mitigate these problems, this paper proposes an approach to extract the information that is relevant to the stakeholders from various CAD-systems, and store this information in a vendor-neutral format, which other application systems or employees are able to process.
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A Concept for Extracting and Sharing Technical Data from Digital Product Models for Subsequent Processing
2015 48th Hawaii International Conference on System Sciences, 2015Co-Authors: Jens F. Lachenmaier, Heiner Lasi, Hans-georg KemperAbstract:In order to develop new products, design engineers build digital product models leveraged by 3D-Computer-Aided-Design (CAD) systems. During design, they specify various aspects of the product: e.g., Which technical elements like wholes, pockets and materials the product consists of, or which tolerances have to be observed during production. This information is vital to stakeholders in Subsequent processes like production planning and control as well as process engineering or quality management. Nowadays, the information is shared via the distribution of technical drawings, which implies various problems (e.g. Change of media, different CAD-systems in use by different organizational units, or unnecessary overhead to retrieve the required information from the model). In order to mitigate these problems, this paper proposes an approach to extract the information that is relevant to the stakeholders from various CAD-systems, and store this information in a vendor-neutral format, which other application systems or employees are able to process.
Heiner Lasi - One of the best experts on this subject based on the ideXlab platform.
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HICSS - A Concept for Extracting and Sharing Technical Data from Digital Product Models for Subsequent Processing
2015 48th Hawaii International Conference on System Sciences, 2015Co-Authors: Jens F. Lachenmaier, Heiner Lasi, Hans-georg KemperAbstract:In order to develop new products, design engineers build digital product models leveraged by 3D-Computer-Aided-Design (CAD) systems. During design, they specify various aspects of the product: e.g., Which technical elements like wholes, pockets and materials the product consists of, or which tolerances have to be observed during production. This information is vital to stakeholders in Subsequent processes like production planning and control as well as process engineering or quality management. Nowadays, the information is shared via the distribution of technical drawings, which implies various problems (e.g. Change of media, different CAD-systems in use by different organizational units, or unnecessary overhead to retrieve the required information from the model). In order to mitigate these problems, this paper proposes an approach to extract the information that is relevant to the stakeholders from various CAD-systems, and store this information in a vendor-neutral format, which other application systems or employees are able to process.
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A Concept for Extracting and Sharing Technical Data from Digital Product Models for Subsequent Processing
2015 48th Hawaii International Conference on System Sciences, 2015Co-Authors: Jens F. Lachenmaier, Heiner Lasi, Hans-georg KemperAbstract:In order to develop new products, design engineers build digital product models leveraged by 3D-Computer-Aided-Design (CAD) systems. During design, they specify various aspects of the product: e.g., Which technical elements like wholes, pockets and materials the product consists of, or which tolerances have to be observed during production. This information is vital to stakeholders in Subsequent processes like production planning and control as well as process engineering or quality management. Nowadays, the information is shared via the distribution of technical drawings, which implies various problems (e.g. Change of media, different CAD-systems in use by different organizational units, or unnecessary overhead to retrieve the required information from the model). In order to mitigate these problems, this paper proposes an approach to extract the information that is relevant to the stakeholders from various CAD-systems, and store this information in a vendor-neutral format, which other application systems or employees are able to process.
Benjamin Tirabassi - One of the best experts on this subject based on the ideXlab platform.
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A Transducer/Equipment System for Capturing Speech and Telemedicine Information for Subsequent Processing by Computer Systems
1997Co-Authors: Benjamin TirabassiAbstract:Abstract : Benchmarked speech capture data formed a corpus for the research to determine how the noise characterization information can best be used to improve speech recognition performance under tactical high noise conditions. The various speech capture improvement remedies investigated focused on a combination of methods that are matched to the FFT derived characterization of the tactical noise or medical sensor signals. These methods include stochastic canceling techniques for random (non-stationary) noise and algorithmic Feature Set subtraction for stationary noise. An important part of this investigation used tactical platform acoustic sound recordings under controlled conditions. The results of this experimentation was incorporated in speech Processing algorithms for the remedy of stationary and non-stationary noise using post signal Processing of Noise Feature Set Array Extraction techniques. Successful speech capture was demonstrated in noise environments up to 105 dBA using a combination of non-stationary and stationary noise post Processing Noise Feature Set Extraction.
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A Transducer/Equipment System for Capturing Speech Information for Subsequent Processing by Computer Systems
1994Co-Authors: Benjamin TirabassiAbstract:Abstract : The objective of the Phase I Small Business Innovative Research (SBIR) Program Topic A93-033, entitled A Transducer/Equipment System for Capturing Speech Information for Subsequent Processing by Computer Systems is exploratory research to parameterize the speech signal, provide benchmark measurement techniques, and to assemble a superior speech capture system while minimizing the effects of noise and interference. Human verbal response under controlled conditions and when exposed to stress exhibit quantifiable differences that when assessed by computer have direct medical monitoring application. Soldiers answer queries about symptoms, well-being, or perceived capabilities while they are performing their duties. Measures of operational performance for military tasks involving communications such as requests for fire support or sending of planned target lists are collected by computer systems. Thus, demonstrating the feasibility of this transducer/equipment system as a necessary and critical first step towards the ultimate application of computer systems to collect and analyze symptoms, moods, and performance data from soldiers in real-time in training centers, the laboratory, and the field with minimal interference to ongoing soldier activities. The algorithms developed for accurate speech capture have demonstrated immunity to a broad range of acoustic and transmission media conditions which include concentrations of acoustic noise in all anticipated regions of the spectrum significant in the human voice response band. Medical monitoring, Speech recognition, Noise rejection, Speech capture, Articulation index, Human appliance device
Feng Wang - One of the best experts on this subject based on the ideXlab platform.
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Microstructure of Spray-Deposited CuCr25 Alloys Preform and its Development during Subsequent Processing
Applied Mechanics and Materials, 2013Co-Authors: Feng Wang, Yongan Zhang, Xi Wu Li, Zhi Hui Li, Baiqing XiongAbstract:The CuCr25 alloys were prepared by spray forming technology, and effect of process parameters on the deposit was studied. The microstructure of CuCr25 alloy prepared by spray forming was studied, and the size of chromium particles was 3-10μm. It is fond that spray-deposited CuCr25 alloys were hot forged and hot isostatically pressed to full densification,and the size of chromium particles was increased little after being hold at 1070°C for 60mins. Conclusions were drawn from the researching results that spray forming was an ideal method to prepare CuCr25 alloys with fine chromium precipitates and homogeneous dispersion. After hot forging and hot isostatic pressing, the size of chromium particles was increased to 10-15μm. the density of the CuCr25 alloy could be 99%.
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microstructural development of spray deposited al zn mg cu alloy during Subsequent Processing
Journal of Alloys and Compounds, 2009Co-Authors: Feng Wang, Baiqing Xiong, Yongan Zhang, Xiaoqing HeAbstract:Abstract In this study, Al–10.8Zn–2.8Mg–1.9Cu alloy was synthesized by the spray atomization and deposition technique. The structural characteristics of spray-deposited alloy and their development during Subsequent hot extrusion and heat treatment were investigated by means of scanning electron microscope (SEM), transmission electron microscope (TEM) and X-ray diffraction. The results indicate that the microstructure of the alloy mainly is composed of the Al matrix, the Mg(ZnCu) 2 compounds with various shape. The fragmentation of the Mg(ZnCu) 2 phases in the alloy has been regarded as one of the main feature during extrusion. After solution treating, the microstructure is found to be composed of the Al matrix and a spot of Al 7 Cu 2 Fe particles. The GP zones and/or the metastable η’ phase from the matrix are major precipitates for the alloy under peak-aged condition (16 h at 120 °C).
