In human, skin tone is significantly varying from one extend (darkest) to other (lightest) due to the difference in the amount of pigmentation (melanin). Even though skin color detection and segmentation is the challe...
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A person who is addicted to alcohol is most likely to have problems related to health and brain function, such as in doing cognitive tasks. Thus, detecting the alcoholic condition is necessary. One of the methods to c...
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In wideband systems operating at mmWave frequencies, intelligent reflecting surfaces (IRSs) equipped with many passive elements can compensate for channel propagation losses. Then, a phenomenon known as the beam-split...
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ISBN:
(数字)9798350368741
ISBN:
(纸本)9798350368758
In wideband systems operating at mmWave frequencies, intelligent reflecting surfaces (IRSs) equipped with many passive elements can compensate for channel propagation losses. Then, a phenomenon known as the beam-split (B-SP) occurs in which the phase shifters at the IRS elements fail to beamform at a desired user equipment (UE) over the total allotted bandwidth (BW). Although B-SP is usually seen as an impairment, in this paper, we take an optimistic view and exploit the B-SP effect to enhance the system performance via an orthogonal frequency division multiple access (OFDMA). Due to the B-SP, we argue that when an IRS is tuned to beamform at a particular angle on one frequency, it also forms beams in different directions on other frequencies. Then, by opportunistically scheduling different UEs on different subcarriers (SCs), we show that, almost surely, the optimal array gain that scales quadratically in the number of IRS elements can be achieved on all SCs in the system. We derive the achievable throughput of the proposed scheme and deduce that the system also enjoys additional multi-user diversity benefits on top of the optimal beamforming gain over the full BW. Finally, we verify our findings via numerical simulations.
This article presents a novel transformer-less single-stage buck-boost inverter (SSBBI) utilizing coupled inductors and its dual-mode time-sharing control method. The leakage current can be completely suppressed by co...
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ISBN:
(数字)9781665464543
ISBN:
(纸本)9781665464550
This article presents a novel transformer-less single-stage buck-boost inverter (SSBBI) utilizing coupled inductors and its dual-mode time-sharing control method. The leakage current can be completely suppressed by connecting the neutral of the electrolytic capacitors to the common ground of the power grid. Besides, only one MOSFET operates at high-frequency in Buck and Boost mode. As a result, in theory, high conversion efficiency can be guaranteed for the proposed inverter. Moreover, compared with conventional Aalborg inverters, the number of switches, diodes, and inductors is further reduced to reduce cost and increase power density. In addition, the operating principle based on equivalent circuits and the control strategy of the proposed inverter are given in this article. As a proof of concept, the simulation results based on PSIM of the proposed SSBBI with different input voltages and output powers and a 110 V power grid are provided.
This paper presents a lightweight AXI DMA Controller architecture useful for embedded systems that do not require fully featured DMA controllers. Simulation is accomplished with VUnit, and implementation results are o...
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In this paper, we introduce four novel measures designed to assess the growth and drift of clusters in the context of streaming data analysis: Local Incremental Drift (LID), Global Incremental Drift (GID), Local Incre...
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ISBN:
(数字)9798350319545
ISBN:
(纸本)9798350319552
In this paper, we introduce four novel measures designed to assess the growth and drift of clusters in the context of streaming data analysis: Local Incremental Drift (LID), Global Incremental Drift (GID), Local Incremental Growth (LIG), and Global Incremental Growth (GIG). These measures address the limitation of existing incremental cluster validity indices (iCVIs) which require at least two clusters, and they offer a comprehensive framework for monitoring each evolving structure in the dynamic realm of online streaming clustering. Through experiments involving synthetic and real-life streaming datasets, we investigated how the proposed measures can be used to observe and analyze the performance of the University of Missouri Streaming Clustering (MUSC) algorithm. We also mapped the raw values of the measures into appropriate fuzzy membership functions for corresponding fuzzy concepts. Our experiments show that these measures effectively capture the trends of growth and drift for Gaussian clusters. In addition to the change in size and location of evolving structures, the measures can also provide other information about the streaming process such as the time a new structure appears and stabilizes, effect of different streaming sample order, etc.
Model predictive controllers are widely used in process industries for many decades. This work introduces a scheduling algorithm with Model Predictive Controller (MPC) to control a nonlinear plant, Quadruple Conical T...
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The stable mutual inductance and coefficient of coupling with lateral variation in Wireless power transfer (WPT) system is major concern. Offset between coupled coils degrade the system power transfer capability and o...
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This paper presents the design of an RGB sensor system for classifying similar color objects using color shades as an alternative to using a camera, which can be relatively expensive. The RGB sensor is employed to cap...
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Researchers have long considered the preprocessing work of programmed segmentation of lung areas to be an important initial step whenever they analyzed pulmonary radiographs (CXRs). An approach to the segmentation of ...
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