Organic Light Emitting Diode (OLED) display panels are becoming increasingly popular especially in mobile devices; one of the key characteristics of these panels is that their power consumption strongly depends on the displayed image. In this paper we propose LAPSE, a new methodology to concurrently reduce the energy consumed by an OLED display and enhance the contrast of the displayed image, that relies on image-specific pixel-by-pixel transformations. Unlike previous approaches, LAPSE focuses specifically on reducing the overheads required to implement the transformation at runtime. To this end, we propose a transformation that can be executed in real time, either in software, with low time overhead, or in a hardware accelerator with a small area and low energy budget. Despite the significant reduction in complexity, we obtain comparable results to those achieved with more complex approaches in terms of power saving and image quality. Moreover, our method allows to easily explore the full quality-versus-power tradeoff by acting on a few basic parameters; thus, it enables the runtime selection among multiple display quality settings, according to the status of the system.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1109/TIP.2018.2844722 | DOI Listing |
Alzheimers Dement
December 2024
Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Background: Recruiting and retaining older adults for clinical trials is challenging, especially in low-resource settings. Such challenges led to a systematic exclusion of such participants from clinical trials, compromising the generalizability of the results obtained in high income countries.
Objective: Here we describe the strategies we used in the PROAME study for recruiting and retaining illiterate older adults from low socioeconomical levels in a non-pharmacological trial.
Background: In Alzheimer's Disease (AD) trials, clinical scales are used to assess treatment effect in patients. Minimizing statistical uncertainty of trial outcomes is an important consideration to increase statistical power. Machine learning models can leverage baseline data to create AI-generated digital twins - individualized predictions (or prognostic scores) of how each patient's clinical outcomes may change during a trial assuming they received placebo.
View Article and Find Full Text PDFBMJ Paediatr Open
January 2025
Citizens 4 Change, Tunbridge Wells, UK.
Street-connected young people (SCYP) in Tanzania face intersecting challenges, including economic vulnerability, social marginalisation and limited access to supportive networks. This study examines the impact of the Youth Association (YA) model, implemented by Railway Children Africa, and does so through the lens of the relational well-being approach, which emphasises the interplay of material, relational and subjective dimensions of well-being, as well as personal, societal and environmental drivers of well-being. Using a mixed methods design, this study tracked 116 SCYP in Mwanza and Dar es Salaam, Tanzania, through four stages of the YA model.
View Article and Find Full Text PDFSci Total Environ
January 2025
Key Laboratory of Groundwater Resources and Environment, Ministry of Education, Jilin University, Changchun 130021, China; Jilin Provincial Key Laboratory of Water Resources and Environment, Jilin University, Changchun 130021, China; College of New Energy and Environment, Jilin University, Changchun 130012, China; School of Earth and Environmental Sciences, Cardiff University, Cardiff CF10 3AT, UK. Electronic address:
Composing regional total income jointly with government income, private income represents levels of development and affluence from the household perspective. Considering the need for fair carbon emission reduction responsibility distributions among regions with divergent income levels, private income-embedded emission (PIEE) and the inter-regional inequalities remain to be explored. Combining input-output analysis and the Gini coefficient, this study traces the sources and disposals of regional private income in China, as well as their embedded carbon emission flow, and quantifies the distribution and inequality of PIEE across industrial sectors and provincial regions.
View Article and Find Full Text PDFAdv Sci (Weinh)
January 2025
Department of Chemistry, The University of Hong Kong, Hong Kong, 999077, China.
Overall water splitting (OWS) to produce hydrogen has attracted large attention in recent years due to its ecological-friendliness and sustainability. However, the efficiency of OWS has been forced by the sluggish kinetics of the four-electron oxygen evolution reaction (OER). The replacement of OER by alternative electrooxidation of small molecules with more thermodynamically favorable potentials may fundamentally break the limitation and achieve hydrogen production with low energy consumption, which may also be accompanied by the production of more value-added chemicals than oxygen or by electrochemical degradation of pollutants.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!