In this paper, a novel substrate integrated waveguide (SIW) loaded with double-sided complementary spiral resonators (DS-CSRs) is investigated and its applications to the miniaturized bandpass filters will be presente...
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This paper presents a regulated 24V-to-1V series-capacitor buck converter to achieve single-stage high step-down dc-dc power conversions with high efficiency and high power density. Many of the challenges faced by con...
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Electric vehicles (EVs) are increasing day by day across the world. Due to zero CO2 emission and being environmentally friendly, electric vehicles are steadily gaining in popularity. Energy storage and charging system...
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The achievement of consistent molding quality, which is critical in injection molding, is heavily reliant on the reasonable control of processing materials, molds, machines, process parameters, and environmental condi...
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The achievement of consistent molding quality, which is critical in injection molding, is heavily reliant on the reasonable control of processing materials, molds, machines, process parameters, and environmental conditions. Notably, new molds usually require a trial molding process before being delivered to relevant machines for online production. However, performance differences between machines make it challenging to maintain consistent molding quality, and suitable adjustments must be made to machine parameters to compensate for these differences. Therefore, cross-machine product quality prediction is critical for accurately forecasting product quality across different machines in a manufacturing process and thus for ensuring consistent quality, few defects, and optimized production. To avoid the considerable time and high cost required for quality inspection and to improve production efficiency, this study developed a multilayer perceptron (MLP) model combined with quality indices to predict molding quality. This paper describes how the developed model predicts product quality for the same mold in different machines. The procedure of the proposed MLP model involves four steps. First, data are prepared, features are extracted (extraction of quality indices), and the model is trained on an actual injection molding machine (machine A). Second, the developed MLP model establishes the relationships between the process parameters, quality indices, and product quality for machine A. Third, Moldex3D Studio, which is a software program for simulating injection molding, is employed to generate production data for a virtual injection molding machine (machine B). Finally, a transfer model is used to fit the quality indices of machines A and B so that the MLP model can directly predict the product quality (in terms of weight and geometric dimensions) for machine B on the basis of the quality indices generated using the process parameters of machine B. Experimental results in
The proposed work elucidates the role of metrics to decide the superiority of noisy and compressed images. The metrics approximate the superiority of degraded image (noisy or compressed) with or without the reference ...
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A novelp+(Si1-xGex)-n--n+ hetero-junction power diode which has the gradual changing doping concentration in the n--region is proposed. The device characteristics were simulated and the optimal design was given. From ...
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A novelp+(Si1-xGex)-n--n+ hetero-junction power diode which has the gradual changing doping concentration in the n--region is proposed. The device characteristics were simulated and the optimal design was given. From the result, it can be shown that the fast-switching and the soft recovery characteristics of the device are much improved but not notable changed in forward drop. The optimal design of the Ge percentage and the trade-off of the n--region thickness for the fast-switching and the soft recovery are given.
The distribution and shape of magnetic fluid can be influenced by the adding magnetic field. The magnetism of magnetic fluid can be presented by the adding magnetic field. At the same time, the magnetism can influence...
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Traffic in wireless sensor networks (WSN) exhibits a many-to-one pattern in which multiple source nodes send sensing data to a single sink node. Since bandwidth, processor and memory are highly constrained in WSN, pac...
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Air quality monitoring is an important tool for improving air quality, protecting public health, and ensuring compliance with regulations. It can also be used to identify pollution sources, monitor climate change, or ...
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Fast convolution processing has recently been proposed as an efficient means for implementing filter bank multicarrier systems with good spectral containment and high flexibility in tuning the subchannel bandwidths an...
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