Mobile AMOLED Display Power Model Considering <i>I–R</i> Drop in Smartphones

Lim, Seong-Geun; Lee, Keetark; Kim, Young‐Jin

doi:10.1109/tie.2020.2973887

Cited by 10 publications

(6 citation statements)

References 18 publications

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“…The approximate estimation method based on software calculates the power consumption by constructing the power consumption model, which is simple and universal. At present, the power modeling method based on software approximate estimation has become the consensus of researchers at home and globally [5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24].…”

Section: Related Workmentioning

confidence: 99%

“…According to this process, the software-based OLED display power model can be divided into code level power model [15,19,21], image-level power model [13,14,19], circuit-level power model [16][17][18]20] and pixel-level power model [13,19,[22][23][24]. Lim et al [18] considered that the existing display power supply model did not take the impact of I-R voltage drop into consideration. Therefore, the AMOLED display power model was proposed by using the method of compensating I-R voltage drop.…”

Section: Related Workmentioning

confidence: 99%

“…Since medical instruments and equipment are typically embedded equipment, the power modeling of their display images is helpful for medical image task scheduling, medical image analysis, prolonging the service life of the equipment, and improving the display effect. Considerable work has been done to study them [11][12][13][14][15][16][17][18][19][20][21][22][23][24]. Although the current power model can acquire the medical image's power, there is the issue of low accuracy [17,20,22,24].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Accurate Power Modelling Framework for Medical Images in Embedded System

Li¹,

Li²,

Zhou³

et al. 2022

jist

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The display in embedded devices is a significant energy-consuming device, and the display content determines the degree of energy consumption. In the practice of energy saving and emission reduction, it is necessary to build an accurate medical image power prediction model for the display. Current power consumption prediction models for medical images often focus on the performance of a single prediction model, ignoring the ability of multiple single prediction models to improve performance. This paper proposes an accurate medical power framework (AMPF), which consists of three steps. In the first step, the strong predictor is used to compose multiple RGB single channels to obtain the power model. In the second step, the power between RGB channels is represented by errors, and the power generated by RGB channel dependence is obtained by the strong predictor method. The third step is to compose the power of the first step and the second step to get accurate medical image power prediction results. The experimental results show that the accuracy of the AMFP proposed in this paper reaches 0.9798, which is 6.836% higher than that of the single power model. The AMPF implemented by AdaBoost is superior to that implemented by EWM in performance and has about 1.3 times the time advantage in training.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Accurate Power Modelling Framework for Medical Images in Embedded System

Li¹,

Li²,

Zhou³

et al. 2022

jist

View full text Add to dashboard Cite

show abstract

“…As you can see in Fig. S5, the IR rising model shows ELVSS power line connected from pan-el edge (bezel area) [39,41]. As a result, the ELVSS voltage of center area rises higher than the panel edge.…”

Section: Major Factors Leading To Picture Quality Degradationmentioning

confidence: 99%

Enhancement of picture quality on ultra-low brightness by optimizing the electrical potential required for OLED charging in the AMOLED displays

Min

Kim³

et al. 2021

Journal of Information Display

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The principal causes of the poor picture quality on active matrix organic light-emitting diode (AMOLED) displays, operating under extremely low brightness and gray-scale conditions, were analyzed and verified by measuring and modelling of the electrical simulations. Through the analysis, it was found that the deteriorated picture quality was induced by a delayed saturation voltage, which means the electric potential difference between the initial voltage applied to the anode of the OLED (V init ) and the OLED saturated voltage (V sat ) for emission. This is because the deviations of pico-ampere-level currents and delayed OLED charging prior to light emission increased the saturation voltage when there were low driving currents. Thus, we optimized the voltage by increasing V init from −4.5 to −2.7 V, effectively eliminating image deterioration by reducing the OLED charging delay. Thus, the proposed approach opens up advancements of obtaining superior picture quality with ultra-low luminance, even in the dark illuminance environments. We discuss how OLED picture quality may be enhanced under low brightness, including the driving methods, design considerations, and processes involved.

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“…The flat panel displays high-resolution images, and these are used as an exchange platform of information, and they have been widely developed in various fields, including automotives, flexible electronics, smartphones, and televisions [ 1 , 2 , 3 , 4 ]. Up to now, the mainstream television resolution is 2K, while 4K is the next generation mainstream television technology [ 5 , 6 ].…”

Section: Introductionmentioning

confidence: 99%

High-Speed Shift Register with Dual-Gated Thin-Film Transistors for a 31-Inch 4K AMOLED Display

Rong

Lin

et al. 2022

Micromachines

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In this work, a promising dual-gated thin film transistor (TFT) structure has been proposed and introduced in the shift register (SR)-integrated circuits to reduce the rising time. The threshold voltage can be simultaneously changed by the top gate and the bottom gate in the proposed dual-gated TFTs. When the SR circuits start to export the scan signals in the displays, the driving currents in the SR circuits are increased by switching the working station of driving TFTs from the enhancement characterization to the depletion characterization. Subsequently, the detailed smart spice simulation has been used to study the function of the proposed SR circuits. In the next step, the proposed SR circuits have been fabricated in a G4.5 active-matrix organic light-emitting diode manufacture factory. The simulated and experimental results indicate that the shift register pulses with the full swing amplitude can be obtained in the SR circuits. Moreover, in contrast to the conventional SR circuits employing with the single-gated TFTs, it has been found that the rising time of the output signals can be reduced from 3.75 μs to 1.23 μs in the proposed SR circuits with the dual-gated TFTs, thus exhibiting the significant improvement of the driving force in the proposed SR circuits. Finally, we demonstrated a 31-inch 4K AMOLED display with the proposed SR circuits.

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Mobile AMOLED Display Power Model Considering I–R Drop in Smartphones

Cited by 10 publications

References 18 publications

Accurate Power Modelling Framework for Medical Images in Embedded System

Accurate Power Modelling Framework for Medical Images in Embedded System

Enhancement of picture quality on ultra-low brightness by optimizing the electrical potential required for OLED charging in the AMOLED displays

High-Speed Shift Register with Dual-Gated Thin-Film Transistors for a 31-Inch 4K AMOLED Display

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