Application modules are identified that clearly lend themselves to an integrated information flow in a controlled manner: CAD (computer-aideddesign) and CAPP (computer-aided process planning) consist of the product a...
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ISBN:
(纸本)0818608889
Application modules are identified that clearly lend themselves to an integrated information flow in a controlled manner: CAD (computer-aideddesign) and CAPP (computer-aided process planning) consist of the product and process design centers of the proposed system respectively. MRP II undertakes the management of production plans to satisfy the market demand. The functional design of the system is presented together with the modeling and analysis, using generalized Petri nets. A database interoperability language is in its final development stage, to enable the construction of the knowledge base that will control the system. Extensions of this work include the incorporation of a shop-floor control module, to interface with the factory level.
The use of Internet communication technologies in distributed teams has been carried out for well over 10 years. In this time, various methods to communicate and transfer information have been developed. A large amoun...
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The use of Internet communication technologies in distributed teams has been carried out for well over 10 years. In this time, various methods to communicate and transfer information have been developed. A large amount of effort has been placed on enabling normal conversation to take place and it could be said, that with technologies like Skype, this is established. This enables planning partners to discuss, but we still need to convey what they are discussing. In short, the contents are still lacking. Technologies exist to allow users to share files or images, however this does not nearly reach the intensity or quality of discussions when partners are sitting together in front of a drawing or model. At best, screen sharing allows participants to see the same image but with low resolution and bad system response. The goal of the Intervision3D project is to allow distributed team members to discuss design issues with a common 3D model where participants can manipulate the model together in real time. In contrast to screen-sharing solutions, the Intervision3D project uses a server, which delivers a copy of the model to each conference participant. The server then coordinates the perspective views of all conference participants. One of the participants (usually the first) is initially designated as the speaker and he or she controls the views of the model through an intuitive walk/fly-through interface. The speed of the system is also buttressed by the simplicity of the application: as a Java applet, it is possible to start the Intervision3D system in any browser or as a separate applet on any system. As such, none of the participants need to install anything. The resolution of the model is optimized for each participant's browser and computer display. Currently, Intervision3D can import .3ds files and then render them using the JOGL Engine (Java Bindings for Open GL). JOGL allows the full Open GL suite to be used in rendering the model including lighting and textures:
Feature matching is a crucial component of computer vision that has various applications. With the emergence of computer-aided Diagnosis (CAD), the need for feature matching has also emerged in the medical imaging fie...
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ISBN:
(纸本)9781728111797
Feature matching is a crucial component of computer vision that has various applications. With the emergence of computer-aided Diagnosis (CAD), the need for feature matching has also emerged in the medical imaging field. In this paper, we proposed a novel algorithm using the Explainable Artificial Intelligence (XAI) [1] approach to achieve feature detection for ultrasound images based on the Deep Unfolding Super-resolution Network (USRNET). Based on the experimental results, our method shows higher interpretability and robustness than existing traditional feature extraction and matching algorithms. The proposed method provides a new insight for medical image processing, and may achieve better performance in the future with advancements of deep neural networks.
Digital breast tomosynthesis (DBT) is a promising new technique for breast cancer diagnosis. DBT has the potential to overcome the tissue superimposition problems that occur on traditional mammograms for tumor detecti...
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ISBN:
(纸本)9781450363860
Digital breast tomosynthesis (DBT) is a promising new technique for breast cancer diagnosis. DBT has the potential to overcome the tissue superimposition problems that occur on traditional mammograms for tumor detection. However, DBT generates numerous images, thereby creating a heavy workload for radiologists. Therefore, constructing an automatic computer-aided diagnosis (CAD) system for DBT image analysis is necessary. This study compared feature-based CAD and convolutional neural network (CNN)-based CAD for breast cancer classification from DBT images. The research methods included image preprocessing, candidate tumor identification, three-dimensional feature generation, classification, image cropping, augmentation, CNN model design, and deep learning. The accuracy rates (standard deviation) of the CNN-and feature-based CAD for breast cancer classification were 74.85% (0.122) and 87.12% (0.035), respectively. The T value was -6.229, and the P value was 0.00 < 0.05, which indicated that the CNN-based CAD significantly outperformed feature-based CAD. The results can be applied to clinical medicine and assist radiologists in breast cancer identification.
Phase-change random access memory (PCRAM) is an emerging memory technology with attractive features, such as fast read access, high density, and non-volatility. Because of these attractive properties, PCRAM is regarde...
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ISBN:
(纸本)9781605588001
Phase-change random access memory (PCRAM) is an emerging memory technology with attractive features, such as fast read access, high density, and non-volatility. Because of these attractive properties, PCRAM is regarded as a promising candidate for future universal memories, and system-level designers could open up new design opportunities by leveraging this new memory technology. However, the majority of the PCRAM research has been at the device level, and system-level design space exploration using PCRAM is still in its infancy due to the lack of high-level modeling tools for PCRAM-based caches and memories. In this paper, we present a PCRAM model, called PCRAMsim, to bridge the gap between the device-level and system-level research on PCRAM technology. The model is validated against industrial PCRAM prototypes. This new PCRAMsim tool is expected to help boost PCRAMrelated studies such as next-generation memory subsystems. Copyright 2009 ACM.
VirtualizeMe introduces a new design for a fully immersive TeleImmersion system for remote collaboration and virtual world interaction. This system introduces a new avatar creation approach fullfilling four main attri...
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ISBN:
(纸本)9781424462582
VirtualizeMe introduces a new design for a fully immersive TeleImmersion system for remote collaboration and virtual world interaction. This system introduces a new avatar creation approach fullfilling four main attributes: high resolution, scalability, flexibility and affordability. This is achieved by a total separation of reconstruction and rendering and exploiting the capabilities of modern graphic cards. The high resolution is achieved by using as much of the input information as possible through lossless compression of the input data and introducing a focused volumetric visual hull reconstruction. The resulting avatar allows eye-to-eye collaboration for remote users. The interaction with the virtual world is facilitated by the volumetric avatar model and allows a fully immersive system. This paper shows a proof of concept based on publicly available pre-recorded data to allow easier comparison.
This paper describes a design technique of LDMOS module for avionics and military application. These techniques are particularly oriented in theories and computeraideddesign. We introduce a practical external matchi...
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Performance improvement of permanent magnet ( PM) motors through optimization techniques has been widely investigated in the literature. Oftentimes the practice of design optimization leads to derivation/interpretatio...
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Performance improvement of permanent magnet ( PM) motors through optimization techniques has been widely investigated in the literature. Oftentimes the practice of design optimization leads to derivation/interpretation of optimal scaling rules of PM motors for a particular loading condition. This paper demonstrates how these derivations vary with respect to the machine ampere loading and ferrous core saturation level. A parallel sensitivity analysis using a second-order response surface methodology followed by a large-scale design optimization based on evolutionary algorithms are pursued in order to establish the variation of the relationships between the main design parameters and the performance characteristics with respect to the ampere loading and magnetic core saturation levels prevalent in the naturally cooled, fan-cooled, and liquid-cooled machines. For this purpose, a finite-element-based platform with a full account of complex geometry, magnetic core nonlinearities, and stator and rotor losses is used. Four main performance metrics including active material cost, power losses, torque ripple, and rotor PM demagnetization are investigated for two generic industrial PM motors with distributed and concentrated windings with subsequent conclusions drawn based on the results.
This paper suggests new paradigm for the development of IAS producing ITS with an intelligent instruction. Modules of ITS, independently generated by IAS, consist of expert module, student module, instructional strate...
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ISBN:
(纸本)0780318625
This paper suggests new paradigm for the development of IAS producing ITS with an intelligent instruction. Modules of ITS, independently generated by IAS, consist of expert module, student module, instructional strategy module, information interface module. The proposed authoring system separates two knowledge networks with domain knowledge into Conceptual Network and Instructional Unit Network for the development of different types of ITS. These make enable to dynamically generate problems and planning of dynamic learning strategy planning. And its accommodates object-oriented approach in order to optimize knowledge network using inheritance among the knowledge units. The author can easily design with his/her purpose the adjustable student module holding the principle of inference in order to infer student's knowledge status and diagnose student's response using the linguistic variable of fuzzy theory with the concept of concentration and dilation. Dynamic instructional planning separates the knowledge network at abstraction level, and propose an algorithm that produces the curriculum plan.
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