Estimating OLED Display Device Lifetime from pixel and screen brightness and its application

2019 ◽  
Vol 2019 (1) ◽  
pp. 331-338 ◽  
Author(s):  
Jérémie Gerhardt ◽  
Michael E. Miller ◽  
Hyunjin Yoo ◽  
Tara Akhavan
Keyword(s):  
Image Processing ◽  
Power Consumption ◽  
Model Parameters ◽  
Display Device ◽  
Image Processing Algorithm ◽  
Pixel Value ◽  
Device Lifetime ◽  
The Impact ◽  
Oled Display

In this paper we discuss a model to estimate the power consumption and lifetime (LT) of an OLED display based on its pixel value and the brightness setting of the screen (scbr). This model is used to illustrate the effect of OLED aging on display color characteristics. Model parameters are based on power consumption measurement of a given display for a number of pixel and scbr combinations. OLED LT is often given for the most stressful display operating situation, i.e. white image at maximum scbr, but having the ability to predict the LT for other configurations can be meaningful to estimate the impact and quality of new image processing algorithms. After explaining our model we present a use case to illustrate how we use it to evaluate the impact of an image processing algorithm for brightness adaptation.

scholarly journals Parameter Dependencies of a Biomechanical Cervical Spine FSU - The Process of Finding Optimal Model Parameters by Sensitivity Analysis

2021 ◽  
Author(s):  
Sabine Bauer ◽  
Ivanna Kramer
Keyword(s):  
Sensitivity Analysis ◽  
Intervertebral Discs ◽  
Model Parameters ◽  
Biomechanical Behavior ◽  
Functional Spinal Unit ◽  
Spine Model ◽  
Biomechanical Parameters ◽  
Multi Body ◽  
The Impact

The knowledge about the impact of structure-specific parameters on the biomechanical behavior of a computer model has an essential meaning for the realistic modeling and system improving. Especially the biomechanical parameters of the intervertebral discs, the ligamentous structures and the facet joints are seen in the literature as significant components of a spine model, which define the quality of the model. Therefore, it is important to understand how the variations of input parameters for these components affect the entire model and its individual structures. Sensitivity analysis can be used to gain the required knowledge about the correlation of the input and output variables in a complex spinal model. The present study analyses the influence of the biomechanical parameters of the intervertebral disc using different sensitivity analysis methods to optimize the spine model parameters. The analysis is performed with a multi-body simulation model of the cervical functional spinal unit C6-C7.

Steganographic data hiding in image processing using predictive differencing

2012 ◽  
Vol 20 (2) ◽  
Author(s):  
C. Weng ◽  
H. Tso ◽  
S. Wang
Keyword(s):  
Image Processing ◽  
Data Hiding ◽  
Predictive Value ◽  
Experimental Result ◽  
Embedding Capacity ◽  
High Quality ◽  
Pixel Value ◽  
Pixel Value Differencing

AbstractIn this paper, we propose a stenography scheme based on predictive differencing to embed data in a grey-image. In order to promote the embedding capacity of pixel-value differencing (PVD), we use differencing between a predictive value and an input pixel as the predictive differencing to embed the message where a predictive value is calculated by using various predictors. If the predictive differencing is large, then it means that the input pixel is located in the edge area and, thus, has a larger embedding capacity than the pixel in a smooth area. The experimental result shows that our proposed scheme is capable of providing greater embedding capacity and high quality of stego-images then previous works. Furthermore, we have also applied various predictors to evaluate our proposed scheme.

scholarly journals Stress Distribution Analysis on Hyperspectral Corn Leaf Images for Improved Phenotyping Quality

Sensors ◽  
2020 ◽  
Vol 20 (13) ◽  
pp. 3659
Author(s):  
Dongdong Ma ◽  
Liangju Wang ◽  
Libo Zhang ◽  
Zhihang Song ◽  
Tanzeel U. Rehman ◽  
...  
Keyword(s):  
Image Processing ◽  
Distribution Patterns ◽  
Plant Phenotyping ◽  
Distribution Analysis ◽  
Image Processing Algorithm ◽  
Plant Image ◽  
Image Processing Algorithms ◽  
Processing Algorithms ◽  
Nitrogen Treatments

High-throughput imaging technologies have been developing rapidly for agricultural plant phenotyping purposes. With most of the current crop plant image processing algorithms, the plant canopy pixels are segmented from the images, and the averaged spectrum across the whole canopy is calculated in order to predict the plant’s physiological features. However, the nutrients and stress levels vary significantly across the canopy. For example, it is common to have several times of difference among Soil Plant Analysis Development (SPAD) chlorophyll meter readings of chlorophyll content at different positions on the same leaf. The current plant image processing algorithms cannot provide satisfactory plant measurement quality, as the averaged color cannot characterize the different leaf parts. Meanwhile, the nutrients and stress distribution patterns contain unique features which might provide valuable signals for phenotyping. There is great potential to develop a finer level of image processing algorithm which analyzes the nutrients and stress distributions across the leaf for improved quality of phenotyping measurements. In this paper, a new leaf image processing algorithm based on Random Forest and leaf region rescaling was developed in order to analyze the distribution patterns on the corn leaf. The normalized difference vegetation index (NDVI) was used as an example to demonstrate the improvements of the new algorithm in differentiating between different nitrogen stress levels. With the Random Forest method integrated into the algorithm, the distribution patterns along the corn leaf’s mid-rib direction were successfully modeled and utilized for improved phenotyping quality. The algorithm was tested in a field corn plant phenotyping assay with different genotypes and nitrogen treatments. Compared with the traditional image processing algorithms which average the NDVI (for example) throughout the whole leaf, the new algorithm more clearly differentiates the leaves from different nitrogen treatments and genotypes. We expect that, besides NDVI, the new distribution analysis algorithm could improve the quality of other plant feature measurements in similar ways.

scholarly journals Angry Apps: The Impact of Network Timer Selection on Power Consumption, Signalling Load, and Web QoE

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Christian Schwartz ◽  
Tobias Hoßfeld ◽  
Frank Lehrieder ◽  
Phuoc Tran-Gia
Keyword(s):  
Power Consumption ◽  
Mobile Applications ◽  
Mobile Network ◽  
Web Pages ◽  
Web Traffic ◽  
Traffic Characteristics ◽  
Wide Range ◽  
Determining Factors ◽  
The Impact

The popularity of smartphones and mobile applications has experienced a considerable growth during the recent years, and this growth is expected to continue in the future. Since smartphones have only very limited energy resources, battery efficiency is one of the determining factors for a good user experience. Therefore, some smartphones tear down connectionsto the mobile network soon after a completed data transmission to reduce the power consumption of their transmission unit. However, frequent connection reestablishments caused by apps which send or receive small amounts of data often lead to a heavy signalling load within the mobile network. One of the major contributions of this paper is the investigation of the resulting tradeoff between energy consumption at the smartphone and the generated signalling traffic in the mobile network. We explain that this tradeoff can be controlled by the connection release timeout and study the impact of this parameter for a number of popular apps that cover a wide range of traffic characteristics in terms of bandwidth requirements and resulting signalling traffic. Finally, we study the impact of the timer settings on Quality of Experience (QoE) for web traffic. This is an important aspect since connection establishments not only lead to signalling traffic but also increase the load time of web pages.

scholarly journals Visual Analysis of the Exact Solution of a Heat Equation

2019 ◽  
Vol 8 (9) ◽  
pp. 1968-1973
Keyword(s):  
Heat Equation ◽  
User Study ◽  
Visual Analysis ◽  
Sampling Rate ◽  
Quantitative Measure ◽  
Image Resolution ◽  
Display Device ◽  
Image Visualization ◽  
The Impact

The solution of the two-dimensional heat equation is represented as images. The considered heat equation is 2 2 2 2 . U U U t x y                  , 0 1, 0 1     x y . The Boundary conditions are U y t U y t (0, , ) 0, (1, , ) 0,   U x t ( ,0, ) 0,  and U x t ( ,1, ) 0  and the initial condition is U x y x y ( , ,0) sin 4 cos 4         . The images provide quick but approximate insights to the solution. Approximation by image visualization depends on many factors such as the display device, human eye factors, image resolution (sampling rate and bit depth of the image), and image resize methods. We have provided images for different time t and different resolutions We have studied the impact of different sampling rate and different image resize methods on the quality of the images. User study is performed for qualitative inspection and peak signal to noise ratio (PSNR) is used as a quantitative measure of the relative similarity in images with respect to different sampling rate and time t . Qualitative inspection and PSNR follow the same trend. Further, Qualitative inspection confirms that the quality of approximation of solution by image visualization improves with increase in sampling rate. Moreover, lanczos3 is the best interpolation method to resize the images.

Research on the Automatic Multilevel Thresholding for Athletic Image Segmentation Based on Block Sampling and Genetic Algorithm

2013 ◽  
Vol 791-793 ◽  
pp. 2007-2012
Author(s):  
Xiao Guang Li
Keyword(s):  
Image Processing ◽  
Image Segmentation ◽  
Meaningful Work ◽  
Image Processing Algorithm ◽  
Computer Image Processing ◽  
Ga Algorithm ◽  
Block Sampling ◽  
The Cost ◽  
Image Segmentation Algorithm

The research on new image segmentation algorithm is a very meaningful work in the processing of image. In the process, it will produce large amount of data redundancy. The efficient algorithm not only can greatly improve the quality of image treatment but also can greatly reduce the time and cost of the treatment. In this context, the paper analyzes several image processing algorithms commonly used in recent years and presents a new computer image processing algorithm--AMT-GA algorithm. In order to verify the effectiveness of AMT-GA algorithm, this paper takes the process of athletics image for example and compares the consistency and time of image segmentation with other literature results and ultimately finds that the consistency of AMT-GA algorithm reaches 0.99. The time in the algorithm execution is only 0.81 which not only achieves effective segmentation of the image but also saves the cost of computing. It also provides a theoretical reference for the research of computer graphics technology.

Transmission Impairments and Power Consumption in Optical Networks

2021 ◽  
pp. 399-428
Author(s):  
Debasish Datta
Keyword(s):  
Power Consumption ◽  
Optical Networks ◽  
Optical Fibers ◽  
Optical Devices ◽  
Nonlinear Phenomena ◽  
Optical Receivers ◽  
Transmission Impairments ◽  
Active Devices ◽  
The Impact

The physical layer in optical networks suffers from various transmission impairments due to the non-ideal passive and active devices used therein. For example, losses in various passive optical devices and fiber links, noise generated in optical receivers and amplifiers, dispersion and nonlinear phenomena in optical fibers, and crosstalk in optical switches can degrade the quality of the received signal at some destination nodes, thereby increasing the receiver BER beyond an acceptable limit. However, power consumption in various active devices across a network keeps increasing with the growth of network traffic and size, demanding power-aware designs of the network elements and protocols. Here, we examine the impact of various transmission impairments in optical networks, followed by possible impairment-aware designs for different networking segments. Finally, we present some power-aware design approaches for optical networks. (132 words)

Digitising Cuneiform Tablets

2005 ◽  
Author(s):  
Carlo Vandecasteele ◽  
Luc Van Gool ◽  
Karel Van Lerberghe ◽  
Johan Van Rompay ◽  
Patrick Wambacq
Keyword(s):  
Image Processing ◽  
Digital Imaging ◽  
Middle Eastern ◽  
New Method ◽  
Image Processing Algorithm ◽  
Field Methods ◽  
The Third ◽  
Enhancement Method ◽  
Pottery Sherds

In 1850, ‘Assyriology’, or the science of reading and interpreting cuneiform, was created. During this period, historians travelled to the Middle East and spent years copying cuneiform tablets. Now, at the beginning of the third millennium AD, not much has changed. Historians still rely on epigraphy which employs the copying of inscriptions and texts by hand. This method is highly subjective, tedious and time-consuming. As Middle Eastern antiquities departments do not allow the export of these tablets, historians and scholars are faced with the challenge of producing more efficient field methods. This chapter discusses a new method of recording the information taken from cuneiform tablets using digitizing. Digital imaging uses a camera wherein the picture captured is linked to a laptop which runs an image processing algorithm program to obtain the desired results. An enhancement method is then applied to improve the quality of the image. Digitizing cuneiform tablets provides historians a working document with legibility of 90 to 95 per cent. Aside from its relatively efficiency, digital imaging can also allow for the registering of various tablets in one excavation season and can be employed in the digital registration of all sealings such as pottery sherds, and fingerprints on clay vessels.

scholarly journals Hydraulic and transport parameter assessment using column infiltration experiments

2017 ◽  
Vol 21 (5) ◽  
pp. 2263-2275 ◽  
Author(s):  
Anis Younes ◽  
Thierry Mara ◽  
Marwan Fahs ◽  
Olivier Grunberger ◽  
Philippe Ackerer
Keyword(s):  
Solute Concentration ◽  
Model Parameters ◽  
Transport Parameter ◽  
Residual Water ◽  
Transport Parameters ◽  
Uncertainty Range ◽  
Injection Duration ◽  
Longitudinal Dispersivity ◽  
The Impact

Abstract. The quality of statistical calibration of hydraulic and transport soil properties is studied for infiltration experiments in which, over a given period, tracer-contaminated water is injected into an hypothetical column filled with a homogeneous soil. The saturated hydraulic conductivity, the saturated and residual water contents, the Mualem–van Genuchten shape parameters and the longitudinal dispersivity are estimated in a Bayesian framework using the Markov chain Monte Carlo (MCMC) sampler. The impact of the kind of measurement sets (water content, pressure inside the column, cumulative outflow and outlet solute concentration) and that of the solute injection duration is investigated by analyzing the calibrated model parameters and their confidence intervals for different scenarios. The results show that the injection period has a significant effect on the quality of the estimation, in particular, on the posterior uncertainty range of the parameters. All hydraulic and transport parameters of the investigated soil can be well estimated from the experiment using only the outlet concentration and cumulative outflow, which are measured non-intrusively. An improvement of the identifiability of the hydraulic parameters is observed when the pressure data from measurements taken inside the column are also considered in the inversion.

Self-Compassion and Quality of Life in Adults Who Stutter

2020 ◽  
Vol 29 (4) ◽  
pp. 2097-2108
Author(s):  
Robyn L. Croft ◽  
Courtney T. Byrd
Keyword(s):  
Quality Of Life ◽  
Social Connectedness ◽  
The Self ◽  
Future Research ◽  
Self Compassion ◽  
Adults Who Stutter ◽  
And Gender ◽  
Relationship Of ◽  
The Impact

Purpose The purpose of this study was to identify levels of self-compassion in adults who do and do not stutter and to determine whether self-compassion predicts the impact of stuttering on quality of life in adults who stutter. Method Participants included 140 adults who do and do not stutter matched for age and gender. All participants completed the Self-Compassion Scale. Adults who stutter also completed the Overall Assessment of the Speaker's Experience of Stuttering. Data were analyzed for self-compassion differences between and within adults who do and do not stutter and to predict self-compassion on quality of life in adults who stutter. Results Adults who do and do not stutter exhibited no significant differences in total self-compassion, regardless of participant gender. A simple linear regression of the total self-compassion score and total Overall Assessment of the Speaker's Experience of Stuttering score showed a significant, negative linear relationship of self-compassion predicting the impact of stuttering on quality of life. Conclusions Data suggest that higher levels of self-kindness, mindfulness, and social connectedness (i.e., self-compassion) are related to reduced negative reactions to stuttering, an increased participation in daily communication situations, and an improved overall quality of life. Future research should replicate current findings and identify moderators of the self-compassion–quality of life relationship.

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