UK's Software Sensing Δ 8th of September 2017 Ω 8:01 AM

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~ Mastersizer 2000 Software ~ Riverbank ~ CodeFarm	~ Ericsson ~ Sensidy ~ Imagination	~ ARM ~ sense for Ξ ~ sense for Ξ
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«Software Sensing	Θ	Θ
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~ Mastersizer 2000 Software

»Mastersizer 2000 Software

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~ Riverbank

»Riverbank

What is PyQt?
ξ a set of Python bindings for Trolltech's Qt application framework
ξ runs on all platforms supported by Qt including Windows, MacOS/X and Linux
ξ there are two sets of bindings: PyQt v4 supports Qt v4; and the older PyQt v3 supports Qt v3 and earlier
ξ the bindings are implemented as a set of Python modules and contain over 300 classes and over 6,000 functions and methods

ξ Like Qt, PyQt v4 is available on all platforms under a variety of licenses including the GNU GPL (v2 and v3) and a commercial license
ξ PyQt v3 has similar licenses except that it is not available under the GPL on Windows.
ξ You can purchase the commercial version of PyQt here.

ξ PyQt does NOT include a copy of Qt
ξ You must obtain a correctly licensed copy of Qt yourself
ξ However, a binary Windows installer of the GPL version of PyQt v4 is provided and this includes a copy of the GPL version of Qt.

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~ CodeFarm

»CodeFarm

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~ Ericsson

Remote tactile surgery use case with 5G from Ericsson in London
Ericsson and King's College London demonstrating 5G tactile robotic surgery at 5G World.
5G medical use case will show a probe as a robotic representation of a biological finger
that gives the surgeon the sense of touch in minimally invasive surgery, and
is able to send accurate real time localization of hard nodules in soft tissue.
The probe, or robotic finger, is able to identify cancer tissue and send information back to the surgeon as haptic feedback.

Ericsson wants visitors to experience 5G latency by controlling the movements of the robotic finger with a haptic glove, and
once the probe detects the hard tissue in the simulation it will send a haptic signal back to the user device.
They will also have visual feedback of what is happening with a close view of the soft tissue model.

The demo makes use of SDN, configured to provide the necessary Quality of Service by implementing networking slicing end-to-end.

5G simulation demonstration to show how latency is a critical part of what 5G can deliver,
bringing both the sense of touch and an essential real-time video feed to remote surgery.

By 5G enabling enhanced minimally invasive remote surgery,
the number of applications escalates and the advantages are no longer geographically localized
according to Professor Mischa Dohler, Head of the Centre for Telecommunications Research in the Department of Informatics at King's College London.
It enables worldwide mentorship and scalability of diagnosis and intervention.

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~ Sensidy

»Sensidy
ξ wearable technology tools to help sign language users with their daily communication

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~ Imagination

»Imagination
ξ licensees silicon IP (intellectual property)

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~ ARM

»ARM Community

big.LITTLE
is included as a part of DynamIQ
the world�s first heterogeneous processing technology to enter the mobile market
consisted of a cluster of high-performance �big� CPUs and a cluster of high-efficiency �LITTLE� CPUs,
linked through a coherent interconnect
above this sat a software layer (Global Task Scheduling)
that seamlessly scheduled the right application task onto the right CPU <-- note: did not generate it!

newer CPUs have been introduced to deliver more capabilities, performance and higher energy efficiency
software layer updated to incorporate more intelligent algorithms for task scheduling
architecture remained largely the same with two (or more) clusters of big and LITTLE CPUs
this technology was quickly adopted in the mobile market,
where power efficiency and battery life is key to user experience
every three Android ARMv8-based devices shipped today rely on big.LITTLE for power / performance optimization

combining the big and LITTLE clusters to form a single, fully integrated CPU cluster
that consists of both big and LITTLE CPUs is the new twist
big.LITTLE designs that are built using DynamIQ are referred to as DynamIQ big.LITTLE

DynamIQ big.LITTLE systems also allow for the tuning of individual or groups of CPUs
to different performance and power points within a single cluster,
resulting in a nearly unlimited design spectrum

Artificial Intelligence (AI) and Augmented Reality (AR) continue to demand higher levels of User Experience (UX)

Dynamic Voltage and Frequency Scaling (DVFS) produces two complementary performance domains
that each increase in voltage and frequency in unison.
DynamIQ takes this technique a step further by supporting multiple, configurable,
performance domains within a single cluster
These domains, consisting of single or multiple ARM CPUs,
can scale up and down in performance and power by up to 4x finer granularity
than previous Cortex-A quad-core clusters.

All task migrations between big and LITTLE CPUs now take place within a single CPU cluster
through a shared memory, with the help of an upgraded snoop management system,
which results in improved energy efficiency.
The transfer of shared data between �bigs� and �LITTLEs� now take place within the cluster.
From a system perspective, this reduces the amount of traffic being generated,
which in turn, reduces the amount of power spent, providing an overall system efficiency benefit.

DynamIQ big.LITTLE systems also benefit from larger cacheable memory in the CPU cluster.
The memory size is completely configurable and enables a larger amount of heterogeneous processing
to happen within the cluster, reducing accesses to external memory, and thus,
reducing the amount of power used in the system when running certain applications.
It also means that CPUs spend shorter amounts of time waiting for data, hence improving performance while reducing power.

DynamIQ big.LITTLE also takes advantage of the advanced power features in DynamIQ technology.
DynamIQ systems are designed with faster transitions between CPU power states (e.g. ON, OFF and SLEEP).
This shortens the time it takes a CPU to enter an idle mode or to completely power off,
leading to more efficient transfer in/out of idle.
There is also an autonomous memory power management feature
that intelligently adapts the amount of local memory available in the cluster,
depending on the type of application running on the CPUs.

From a software perspective, the Energy Aware Scheduler (EAS) development for the Linux Kernel
is designed to handle advanced System-on-Chip (SoC) configurations, including the new DynamIQ features.
EAS support for basic configurations is already available for Linux,
including Android and other Linux derivatives.

Android also now has task classification that can be used to boost key tasks,
to provide the best user experience from a device with EAS.

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Small & Smart Inc reserves rights to change this document without any notice
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