scispace - formally typeset
Search or ask a question

What type of charger does pixel 6 use? 

Answers from top 9 papers

More filters
Papers (9)Insight
It is compatible with large format imager implementation, has minimal impact on the frame-rate, and does not introduce any additional hot-carrier stress in the pixel.
While providing high charging efficiency and prolonging battery lifetime, the proposed charger exhibits a high power factor, simplicity, and lower cost.
Proceedings ArticleDOI
Radha Kushwaha, Bhim Singh 
01 Dec 2018
20 Citations
Test results confirm the improved performance of the proposed charger.
Monolithic Active Pixel Sensors constitute a viable alternative to Hybrid Pixel Sensors and Charge Coupled Devices for the next generation of vertex detectors.
The simulation shows that charge-sharing effects are pronounced in pixel detectors with a pixel size below 170×170 μm 2 .
The proposed charger architecture maintains low cost and high efficiency in this specific application.
The proposed digital pixel circuit also has advantages in circuit layout compared with analog pixel circuits.
Based on these results, the new imager generation could be manufactured with a total parasitic capacitance of about 6 fF/pixel.
Therefore, the proposed pixel circuit is suitable for use in mobile AMOLED displays.

See what other people are reading

How to calculate the spatial resolution of swep-SOURCE OCT?
5 answers
The spatial resolution of a Swept-Source Optical Coherence Tomography (SS-OCT) system can be calculated based on various parameters. For instance, the depth resolution of 0.2 mm and depth range of 15 mm were achieved using a narrow-linewidth injection seeded terahertz parametric generator (is-TPG). Additionally, SS-OCT systems, such as the one developed at Massachusetts Institute of Technology, utilize a scan rate of 400,000 A-scans per second and have axial and transverse resolutions of approximately 8-9 μm and 15 μm, respectively. Moreover, a spatially-multiplexed SS-OCT system allows for rapid acquisition of B-scans by efficiently utilizing the wide spectral bandwidth of the laser source, potentially providing depth-resolved visualization of transient processes in biological tissue. By considering these factors and system specifications, the spatial resolution of a SS-OCT system can be accurately determined.
How does grid forming converters effect stability?
4 answers
Grid-forming converters (GFCs) play a crucial role in grid stability. They mimic synchronous generators and actively regulate grid voltage and frequency. GFCs can face challenges like current saturation mode (CSM) under unknown loads, impacting their steady-state angle stability. The asymmetrical active power injection and absorption of GFCs can lead to unstable operation under large disturbances, necessitating methods like voltage amplitude regulation and reactive power injection to enhance transient stability. These converters' dynamics are vital for grid stability, with factors like power reference, grid voltage sag, and grid impedance influencing their performance. Understanding and optimizing the behavior of GFCs are essential for ensuring reliable and stable grid operation in the presence of renewable energy sources.
How to reduce transformer losses?
5 answers
To reduce transformer losses, various strategies can be implemented based on different research findings. One approach involves utilizing Path-core type resonant inductance adjustable (PRIA) transformers in high-frequency LLC resonant converters, which effectively reduce core losses and coil losses, thus improving efficiency. Another method is the use of horizontal wall shunts in converter transformers to decrease stray losses, enhancing the transformer's overall efficiency. Additionally, modifying the design of distribution transformers to operate efficiently during light loading conditions can help minimize losses occurring in such scenarios. Furthermore, implementing a novel topology like transformer auto stop-start can automatically manage transformer energization to reduce electric losses under varying load conditions. Lastly, optimizing transformer sizing based on historical load data can lead to significant reductions in core and copper losses, ultimately enhancing efficiency and achieving substantial energy savings.
How has AI technology impacted the field of photography, particularly in terms of image quality and processing?
5 answers
AI technology has significantly impacted photography by enhancing image quality and processing. By utilizing AI algorithms, image processing technologies can achieve more accurate and high-quality results. AI-based methodologies have been developed to locate alignment marks in images with minimal contrast, enabling precise alignment without the need for extensive development processes, thus improving image processing efficiency. Additionally, AI applications like the Savitzky-Golay Filter have been employed to increase signal-to-noise ratios in images, leading to improved image quality and aiding in extracting essential information for various scientific applications. Overall, AI in imaging technology enables quick diagnostic analysis, object recognition, and advancements in various fields like computer vision and machine learning, contributing to a better digital world experience.
What are the design considerations for low-power operational transconductance amplifiers in biomedical applications?
5 answers
Low-power operational transconductance amplifiers (OTAs) for biomedical applications require careful design considerations. Various techniques have been proposed to achieve low power consumption and high performance. For instance, techniques like enhanced bootstrapping linearization, current reuse cascode design, and composite flipped voltage follower with partial positive feedbackhave been suggested. These designs operate at low supply voltages, offer high gain, low power dissipation, and improved linearity. Additionally, incorporating features like fixed gain, ultra-low input noise, and self-biasing mechanismscan further enhance the efficiency of OTAs in amplifying weak bio-potential signals. Overall, the focus lies on achieving a balance between power consumption, linearity, gain, and other performance metrics to meet the stringent requirements of biomedical applications.
What is the relationship between NDVI, NDBI, NDWI, and LST in remote sensing applications?
5 answers
The relationship between NDVI, NDBI, NDWI, and LST in remote sensing applications is crucial for various environmental studies. NDVI, a widely used vegetation index, shows a negative correlation with LST in vegetation pixels. On the other hand, NDBI exhibits a strong positive correlation with LST in urban areas, indicating urban heat islands. Additionally, the study by A. Aliyu et al. highlights the seasonal correlation of various spectral VIs with NDVI and LST, showing that ARVI, GNDVI, and TVI can be used as alternatives to NDVI for biomass-related studies. These findings emphasize the importance of understanding the interplay between different indices and LST for effective environmental monitoring and assessment in remote sensing applications.
How effective are GAN-based approaches in generating realistic images of wildlife for conservation awareness and education purposes?
5 answers
GAN-based approaches have proven highly effective in generating realistic images for various purposes. These approaches utilize Generative Adversarial Networks to create novel and high-quality images, showcasing their potential in fields like art, design, and conservation awareness. While GANs excel in generating images from random noise and simple features, they can struggle with more complex and random features. The use of GANs in wildlife image generation for conservation awareness and education could be beneficial, as these networks can produce unique and visually appealing wildlife images that can engage and educate the audience effectively. By leveraging GANs, conservationists and educators can create compelling visual content to raise awareness about wildlife conservation issues.
How can generative adversarial networks (GANs) be used to enhance conservation biology efforts?
5 answers
Generative adversarial networks (GANs) can enhance conservation biology efforts by introducing innovative approaches like "Interspecies Money". This concept involves creating digital twins for each species, allowing animals to dispense funds to their guardians based on their detection in camera traps. By utilizing deep learning techniques, GANs can accurately identify and classify different animal species captured in camera traps, facilitating the transfer of funds from animal accounts to their guardians. This method not only incentivizes wildlife protection but also demonstrates the potential of GANs in optimizing conservation strategies through advanced technologies.
What are the potential applications of piezoelectricity generated from water?
5 answers
Piezoelectricity generated from water has diverse applications. It can be utilized in piezoelectric harvesters to harness energy from water waves, where factors like beam thickness, length, and inclination significantly impact voltage output. Additionally, piezoelectric materials can be employed for water disinfection by inactivating bacteria on microplastic surfaces under water flow, showcasing potential for eco-friendly water treatment. Moreover, piezoelectric generators can be integrated into water distribution systems to convert hydraulic fluctuations in piping systems into electrical power, offering a sustainable energy source for various applications. The technical characteristics of piezoelectric thin films also open up possibilities for oscillatory energy converters in moving water mediums, suggesting further innovative applications.
How to detect dissolved CO2 jn ethanol?
5 answers
To detect dissolved CO2 in ethanol, various methods can be employed based on the principles outlined in the research papers. One approach involves utilizing a colorimetric assay with gold nanoparticles that undergo aggregation in the presence of dissolved CO2, leading to a measurable color change. Another method involves the use of a microfluidic optoelectronic sensor containing ion-exchange polymeric microbeads doped with halochromic dyes, providing selective detection of dissolved CO2 with no cross-sensitivity to other sources of acidity. Additionally, a portable tunable diode laser absorption spectroscopy (TDLAS) system integrated with a headspace equilibrator can be utilized for real-time detection of dissolved CO2 in ethanol, offering high spatiotemporal resolution and rapid response times. These methods collectively provide efficient and sensitive means for detecting dissolved CO2 in ethanol.
How to calculate land use entropy?
5 answers
To calculate land use entropy, one can utilize information theory concepts like Shannon entropy. The calculation involves assessing the diversity or disorder in land use patterns over a specific area or time period. By analyzing the composition of different land types and their distribution, one can determine the level of uncertainty or variability within the land use structure. Factors such as the information entropy coefficient, equilibrium degree, and dominance degree play crucial roles in understanding the evolution and complexity of land use systems. Additionally, the spatial-temporal analysis of land use entropy can provide insights into trends, changes, and development patterns within a region. Incorporating these methods can offer valuable information for decision-making related to urbanization, water resources, and risk assessment.