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Electronic products defense spending on the radar AI, robotics, big data, cybersecurity, and resilience top priorities april 2018

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Among the priorities for mod-ernizing key defense capabilities cited in the NDS that commercial off-the-shelf COTS vendors are well-positioned to support are: • New investments in cyber-

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O N L I N E M U S T - R E A D S

F E A T U R E S

8 COVER STORY Mil/Aero Electronics

Defense spending opens door to system technology innovations

4 Viewpoint: Fluffing the cloud

5 Publisher’s Perspective: Tribute to an American classic

6 Outlook (Technology News):

6 The key to smarter, faster AI likely found by modeling moth brains

6 Physicists to build laser so powerful it could rip apart fabric of space

27 Product Trends: Packaging, Cabinets & Enclosures

29 Product Roundup: Electromechanical Components

Google’s new quantum processor aims to

outper-form supercomputers http://bit.ly/2FuOS7U

Battery sensor allows for Li-ion batteries to be

charged five times faster http://bit.ly/2FuOAhs

10 tips on how to properly document a design so

others can follow http://bit.ly/2FpMJ18

EDITORIAL STAFF

Bolaji Ojo .Global Editor-in-Chief

Richard Quinnell .Editor-in-Chief,

richard.quinnell@aspencore.com • electronicproducts.com

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Alix Paultre .Contributing Editor

Lori O’Toole .Chief Copy Editor

Nicole DiGiose .Technical Content Manager

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Pam Fuentes .Business Planning Analyst

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Giulia Fini .Cover Design

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Published by AspenCore

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Victor Alejandro Gao

Chairman

Greg Rivera

Group Publisher Electronics Group

Electronic Products Magazine (USPS 539490) (ISSN 0013-4953)— Published monthly by AspenCore, 1225 Franklin Avenue, Suite 400, Garden City, NY 11530 Periodicals postage paid Garden City, NY and additional mailing offices Electronic Products is distributed at no charge to qualified persons actively engaged in the authorization, recommendation or specification of electronic components, instru- ments, materials, systems and subsystems The publisher reserves the right to reject any subscription on the basis of information submitted

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26

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The electronic design engineering

field is a fantastic place to be at

any given point and especially so

in these modern times The past two

decades saw the groundwork laid for

these exciting times in technologies like

organic LEDs, wide-bandgap ductors, and the digital infrastructure

semicon-These and other advanced core ogies enable and empower new solutions

technol-to serve existing application spaces and create and develop new ones

This synergistic development aspect

of electronic design was very ent these past weeks at the APEC and Embedded World shows as engineers from around the globe came together

appar-in San Antonio, Texas, and Nuremberg, Germany, to exchange ideas and look at the latest in embedded systems

The booths at both events were crammed with the latest solutions avail-able for applications both mature and speculative, and at each (some visitors, including me, bounced between both), there was a buzz of activity as company reps and visitors played with the demon-strations and bounced ideas off of one another The energy was palpable at each

of the venues, and the energy of all of those people dealing with one another in these public marketplaces was palpable

In this issue, we’ve pulled together some very cool examples of the latest technologies from both shows, and we hope this foments new ideas for new solutions with you One of the notable aspects of any new technology is that any given group of engineers will tell you sev-eral more applications than you thought

of when developing it, and the number and quality of these new technologies are providing the foundation of the remak-ing of society

The cloud and IoT are shaping society

in fundamental ways, and you are the ones shaping the devices in it and the infrastructures supporting it Every de-vice that you make is a voice in the great chorus of development moving society forward, and these exhibitions are the concert halls One positive aspect of Em-bedded World, for example, was the fact that most booths contained functional demonstrations of technology and not just displays of components and parts

In the area of wireless, one of the trends that we observed was the final filling in, or in the words of the headline, the “fluffing out” of the cloud There are a lot of wireless devices using wired

or sub-gigahertz proprietary wireless systems, for example, and bringing them into the IoT is the true “final mile” of the cloud Solutions shown ranged from multi-protocol wireless modules and

Fluffing the cloud

Continued on page 20

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NEW YORK — American readers

of this column are prone to

recognize the name E.B White,

a 20th-century author best known for

his children’s books such as “Stuart

Little” and “Charlotte’s Web.” A

resi-dent of this great American city, White

was also a prolific columnist for the

classic humor, literature, and

journal-ism magazine The New Yorker And in

a prose entitled “Unwritten” in April

1930, White observed in his signature

self-deprecating style that the work of

a writer always represented a choice —

the choice of what to write and what

not to Which brings me to the subject

of our column this month: Why does a

journalist write at all?

At ASPENCORE, our editorial

mis-sion is to bear witness and to

cele-brate human achievement as manifest

through advancement in technology

and engineering While every one

of our journalists makes their own

personal choice as to why and what

they write, as a publishing house, we

encourage an intention to affirm or, if

the writing starts out decrying an

inju-ry or injustice on behalf of our readers,

that by the end, it arrives at a

construc-tive juncture Sometimes, that takes

the form of questioning a dubious

claim in a manufacturer’s new product

introduction campaign Other times,

it could be the critique of a business

trend we believe is over-hyped, a

tech-nical achievement that is

under-recog-nized, or an important workplace issue

that would not have found its voice had

it not been for the help of these pages

Of course, a great deal of how this

mission is achieved is left intentionally

undirected and uncoordinated

be-tween the house and our writers As a gentle reader wrote in response to this column last month, today’s publishers face a pivotal task to transform the economics of publishing so the im-portant reporting can be done without fear of loss of funding, which we have seen happen to some of our fellow

publishing houses in the industry And yet as much as ASPENCORE as a com-mercial concern must make money,

we strive even harder to always make sense To achieve this duo of aims, at

ASPENCORE, we rather like the good old system at The New Yorker, as de-scribed by White in another column:

The writers write as they please, and the magazine publishes as it pleases

When the two pleasures coincide, something gets into print When they don’t, the reader draws a blank And you, the reader, are here to judge both the house and our writers on our re-spective merits This is what editorial independence means to us

While we are on the subject of editorial policy, we expect to share some exciting news soon about how

we will extend our remit this year to

introduce both more depth and more diversity to the topics covered in our titles We will give you a snippet of our redesign efforts, with a greater focus

on longer, less frequent, but more thought-provoking pieces that delve into an issue without the pressures of

a daily publishing cadence To find out more, please check back in this column next month

By the time these words go to print, many of our readers will be wheels-up

to a productive conference in Münich, Las Vegas, or Shanghai or will have just returned Here is to safe and pleasant journeys for all on the road As ever, if you have a comment or want to whis-per us a story tip, you can find me at

victor@aspencore.com, or contact your

favorite ASPENCORE writer directly From all of us at ASPENCORE, thank you for your support ☐

Tribute to an American classic

In this month’s perspective, our publisher, Victor Gao, pays tribute

to an American classic and delves into our proudly old-fashioned

journalistic values

BY W VICTOR GAO

Publisher and Managing Director

The ASPENCORE Group

At ASPENCORE, our editorial mission is to bear witness and to celebrate human achievement as manifested through advancement in technology and engineering and you, the reader, are here to judge both the house and our writers on our respective merits This is what editorial independence means to us.

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The key to smarter, faster AI likely

found by modeling moth brains

Researchers at

the

Univer-sity of

Wash-ington have

devel-oped a relatively simple

neural network that mimics

biological neural systems The

performance of the new neural-network

model points to the possibility of building

AIs that are less complex yet far more

effi-cient at learning because of it At the same

time, the research, published in the arXiv

repository, yielded new insight into how

living creatures learn — or at least how

some creatures learn some things

The most common path to emulate the

effectiveness of biological neural systems has

been to create increasingly complex artificial

intelligences with increasingly complicated

machine-learning capabilities Biological

systems that outperform AIs sometimes

aren’t all that complex, however, and living

creatures often learn far more quickly than

AIs using significantly fewer experiences to

learn than AIs require data sets

Starting with these observations, UW

researchers resolved to devise a relatively

simple neural-network model that mimics

the relatively uncomplicated structure of a

moth’s neurological system

The University of Washington has been

analyzing insect biology for decades; this

research team chose moths because UW

labs have already thoroughly mapped their

neurological systems They already knew

that moths can learn smells after

experi-encing them only a few times Despite the

relative simplicity, however, it remained

unclear precisely how moths’ neurological

systems worked when learning

Most neural networks operate on

the principle of backpropagation With

this technique, the weights between

neurons (essentially the strength of the

connection between them) are constantly

recalculated through a process of feeding

outputs back into the system so that

inputs and outputs can be compared and

adjusted against each other

Biological systems rarely do anything like this

Instead, they are commonly organized

as feed-forward cascades

The beginning of the cascade

in hawk moths is a set of about 30,000 chemical receptor neurons (RNs), which feed signals into an antennal lobe (AL) The

AL contains roughly 60 isolated clusters of cells (called glomeruli — it pays to enhance your word power!), each of which focuses

on a single odor stimuli feature The AL, the researchers say, is inherently noisy The researchers liken the AL to a pre-amplifier,

“providing gain control and sharpening of odor representations.”

Signals from the AL are forwarded to

a structure called the mushroom body (MB) The MB contains roughly 4,000 cells (Kenyon cells) associated with forming memories Signals go through two more ancillary structures (each numbering in the tens of cells), the function of which is believed to be to read out the signals from the MB These sparser structures act as noise filters, the researchers wrote Noise isn’t eliminated but is sufficiently reduced for the purpose of effective learning

The process does not work at all without octopamine, described as a neu-romodulator Release of the chemical is triggered by a reward — for example, the moth finding sugar to consume When a

moth finds a reward, the octopamine that

is released stimulates enhanced activity

in the AL and MB The practical effect of this enhanced activity is to strengthen the connections between correlated neurons

in the moth’s neurological system The mechanism is called Hebbian learning; the extent to which the strength of neuro-nal connections can be changed is called Hebbian plasticity

The UW researchers built a ical model that mimics all of this, and their neural models of moths learned quickly with minimal simulated odor inputs Their results are similar to the behavior that they observe in the moths, strongly suggesting that they have an accurate model

mathemat-If so, that will have ramifications both for biology and for neural networks

That the behavior of the model was

so similar to that of actual biological systems encouraged the researchers to expect that they might now have a clearer understanding of the mechanisms at work

in living creatures The logical systems of moths are structurally similar to those of many other creatures, the researchers noted

olfactory/neuro-Their work also suggests a new path to explore for machine learning “Specifically,” they wrote in their paper, “our experiments elucidate mechanisms for fast learning from noisy data that rely on cascaded net-works, sparsity, and Hebbian plasticity.”

Brian Santo

Avacuum might not be empty at

all; it might only seem empty on

balance That balance would be

between electrons and their anti-matter counterparts, positrons According to theory, any vacuum is filled with such electron-positron pairs These pairs

would be undetectable because they wouldn’t interact with anything — with the possible exception of the beam from

a 100-petawatt laser Which is one of the reasons why Chinese researchers are about to begin building a 100-PW laser.These researchers propose to pulse

Physicists to build laser so powerful

it could rip apart fabric of space

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an incredibly powerful beam for a few trillionths of a second

through a vacuum with the expectation that it will induce

elec-tron-positron pairs to break apart Positrons are ephemeral, but

the electrons would remain It would look like producing

some-thing out of nosome-thing The proposed process is being described

as “breaking the vacuum.”

The formula E=MC2 suggested two things One is that mass

can be turned into extraordinary amounts of energy Scientists

followed that lead in a number of directions, including the

devel-opment of the atomic energy The formula also suggests that it’s

possible to translate energy into mass, though doing so is

consid-ered significantly harder Breaking the vacuum would be a rare

instance of it

The Shanghai Institute of Optics and Fine Mechanics in

China currently holds the record for the most powerful laser In

2016, the Shanghai Superintense Ultrafast Laser Facility (SULF)

achieved a burst of 5.3 PW The institute is currently preparing

to nearly double its record by using SULF to emit a 10-PW

pulse by the end of this year

It is also planning to build a 100-PW laser called the Station

of Extreme Light (SEL), which could come online as early as

2023 Photon energy from the device could reach 15 keV

European researchers were thinking about building a

200-PW laser but have held off even planning such a beast until

they turn on a 1-PW laser in Prague this year and then build

two more facilities that would take intermediate steps toward

100 PW or more, reported Science

Russia is building the infrastructure to support a proposed

180-PW laser called the Exawatt Center for Extreme Light

Studies (XCELS) Japanese researchers, who held the record

with a 2-PW pulse before the Chinese eclipsed them, have

proposals for a 30-PW device, according to Science

Breaking the vacuum would be spectacular, but

high-en-ergy lasers could be useful in other applications as well They

have been used for particle acceleration, inertial confinement

fusion, radiation therapy, and for secondary-source generation

of X-rays, electrons, protons, neutrons, and ions, according to

physicists at Cambridge University A paper that they wrote in

2015 explains the different types of high-energy lasers China’s

SEL would be an OPCPA laser

Brian Santo

OUTLOOK 7

ELECTRONIC PRODUCTS • electronicproducts.com • APRIL 2018

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The U.S Department of Defense’s

(DoD’s) 2018 National Defense

Strategy (NDS) said it clearly: “Our

backlog of deferred readiness,

procure-ment, and modernization requirements

has grown in the last decade and a half

and can no longer be ignored We will

make targeted, disciplined increases in

personnel and platforms to meet key

capability and capacity needs.” With that

in mind, Congress increased the FY 2018

defense budget to $700 billion — an

increase of $108 billion

This article will lay out some of the

areas where that budget will be spent and

what areas may present opportunities

for designers to innovate to close current

and future technology gaps

AI, big data, and robotics critical

but need to be affordable

The technological priorities called out in

the NDS will drive a significant increase

in R&D spending to close technology

gaps in advanced computing, artificial

intelligence (AI), and autonomy and

robotics Among the priorities for

mod-ernizing key defense capabilities cited in

the NDS that commercial off-the-shelf

(COTS) vendors are well-positioned to

support are:

• New investments in cyber-defense and

the continued integration of

cyber-ca-pabilities into the full spectrum of

military operations

• Investments in C4ISR to develop

resil-ient, survivable, federated networks and

information ecosystems

• Advanced autonomous systems, AI,

and machine learning

For developers of military

embed-ded COTS electronics solutions, this

additional spending promises increased

support for technologies that address

resilience, lethality, and readiness

Designers of defense and aerospace systems and platforms desire to contin-uously introduce advanced technology that provides the warfighter with an indisputable advantage in the battlefield

These technologies range from sensors, computing, and networking to electro-mechanical systems

However, advanced technology by itself isn’t enough It also needs to be affordable, reliable, and sustainable The warfighters’ lives depend on the tech-

nology, and history has proven that if a soldier can’t trust their technology, they will abandon it

New spending on advanced puting will result in improvements for leveraging big data analytics, enabling the warfighter immediate access to all of their critical information Such access will require the use of cloud-computing technologies to enable data access by any device, wherever the soldier is located,

com-at any time it’s desired More than thcom-at,

to bring the power of machine learning (ML) for AI to the network edge will require far greater local processing capa-bility in order to deliver real-time data and solve the cloud’s inherent latency and bandwidth limitations

Investments in AI and ML will provide capabilities that disrupt battle-field applications such as intelligence,

surveillance, reconnaissance (ISR), and electronic warfare (EW) Support-ing these new capabilities will require advances in heterogeneous high-perfor-mance embedded computing (HPEC) technologies

Embedded systems for use on semi- and fully autonomous unmanned platforms, whether on the ground,

in the air, or at sea, will require the development of low-power, ultra-small form-factor (USFF) processing, networking, full-motion video, and data-storage solutions It’s estimated, for example, that a fully autonomous car will require 50 to 100 times the com-pute power needed to support today’s advanced driver-assistance systems.The overarching investment strategy described in the DNS is to bring these advanced technologies to the battlefield

in order to provide a force multiplier that gives warfighters a strategic and tacti-cal advantage over the adversary That said, it’s not enough to just deploy new technologies, it’s also necessary to ensure that those technologies are brought into the battlefield in a way that protects and secures them with the resiliency that they need to survive enemy attempts to dis-able or disrupt their intended operation

Ensuring operational effectiveness

in the field: GPS

The new technologies will provide new capabilities upon which the warfighter will surely become dependent As such, they must also feature the defenses needed to ensure that their network and computing environments are protected against adversaries and so remain opera-tionally effective

An example of an advanced nology upon which the warfighter has become dependent is GPS When intro-duced as part of the DoD’s Second Offset strategy in the mid-1970s, GPS provided

tech-a significtech-ant tech-advtech-anttech-age in the btech-attlefield thanks to its ability to deliver accurate

Defense spending opens door to system technology innovations

BY MIKE MACPHERSON

Vice President, Strategic Planning,

Curtiss-Wright Defense Solutions

www.curtisswright.com

The new technologies will provide new capabilities upon which the warfighter will surely become dependent As such, they must also feature the defenses needed

to ensure that their network and computing environments are protected against adversaries and

so remain operationally effective.

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position, navigation,

and timing (PNT) data

This technology was essential for

applications such as precision-guided

weapons like the Tomahawk missile

Over the years, it’s become clear that our

dependence on GPS also makes it a

vul-nerability In environments in which GPS

is denied or disabled, all of the weapons

that depend on it are made ineffective To

counter that vulnerability and threat, an

assured PNT (A-PNT) solution must be

available that is able to operate even in a

GPS-denied environment New

cost-ef-fective and accurate COTS-based A-PNT

technologies will enable the deployment

of cost-effective, rugged solutions for

GPS-denied environments

Making AI and autonomous

vehicles resilient

The development of new technologies

based on AI will enable man-to-machine

teaming solutions that deliver a significant

advantage in the battlefield Leveraging

AI, autonomy, and robotics will result in

machines that can operate independently,

whether as an individual entity, paired

with other machines in applications (such

as a swarm configuration of drones), or in

a soldier-machine interface in which the

machine has its own autonomous

capabil-ity augmenting the warfighter

An example of the latter is an

auton-omous ground combat “mule” able to

relieve the warfighter’s personal burden

of carrying batteries, chargers,

ammuni-tion, etc By reducing the weight in the

warfighter’s backpack, these small

auton-omous vehicles will significantly increase

the soldier’s ability to fight

Likewise, the use of autonomous aerial

vehicles to deliver logistics equipment

or to locate IEDs will reduce the warfighter’s exposure to risk and improve their lethality On the other hand, as these new solutions become common, adver-saries will strive to find ways to attack and disable them For example, one strategy for countering a learning machine is to spoof it with false information, forcing it

to produce an incorrect answer

Improving resilience, another key goal of the DNS, will ensure that de-ployed systems have the ruggedness and reliability to survive harsh environments and the security to protect against enemy attempts to exploit their vulnerabilities

Autonomous vehicles, such as mine detectors, can keep the warfighter out of harm’s way, but that autonomy needs to

be trusted For this, the system requires the resilience, or self-resilience, that ensures that it’s reliable and can’t be easily disabled

A machine can be manual, tonomous, or fully autonomous In each

semi-au-of these states, the higher the level semi-au-of

autonomy, the more the machine needs self-resilience When a machine is fully manual, the warfighter provides the resil-ience In the case of a semi-autonomous system, resilience is shared between the operator and the machine In a fully autonomous system, resiliency depends completely on the expert systems built into that machine

Autonomous systems need resilience and security

To be able to confidently depend on fully autonomous systems will require invest-ments in technologies that provide both resilience and security

An example of resiliency is found

in safety-certifiable avionics systems for manned or unmanned military aircraft To operate safely over do-mestic airspace, these platforms are increasingly required to meet DO-254 hardware and DO-178 software certi-fication for specific Design Assurance Levels (DALs) recognized by aviation authorities around the world, such

as the FAA in the U.S., the Canadian Transport Board, and EASA in Europe and the U.K While safety certification

is handled at the platform level, the electronic modules used to build out avionics subsystems must be supported with comprehensive data artifacts His-torically, modules for safety-certifiable subsystems were costly custom designs that took years to design and millions

of dollars to develop

In recent years, a new class of fective DO-254-certifiable COTS boards has become available, greatly speeding

cost-ef-and lowering the cost

of

inte-Fig 1: The VPX3-1703 is an example of

an Arm-based 3U OpenVPX single-board

computer designed for DO-254 safety-certifiable avionics

applications.

Fig 2: Security

in the field is critical, so the DTS1 NAS supports cost-effective two-layer encryption.

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grating safety-certifiable applications

The preferred processor architecture for

these COTS modules has been the Power

Architecture family of devices being that

Intel processors only support DO-254 up

to the DAL C level

As NXP shifts its focus from

devel-opment of new Power Architecture

pro-cessors toward Arm-based propro-cessors,

designers of safety-certifiable systems

are increasingly turning to Arm-based

solutions Arm processors support

D0-254 up to the most stringent and

critical level, DAL A, and also provide

the additional benefit of very low power

dissipation The VPX3-1703 3U

Open-VPX is a good example of an Arm-based

single-board computer (SBC) (Fig 1) It

is designed for DO-254 safety-certifiable

avionics applications

The concepts of resilience and trusted

systems refer not only to safety but also

to data and hardware security Great

strides are being made today to enable

COTS systems with anti-tamper

technol-ogies, cybersecurity, and protection of

data-at-rest and data-in-motion

For example, the Data Transport System (DTS1) network attached storage (NAS) device supports cost-effective

two-layer encryption (Fig 2) The

DTS1 is also easily integrated into work-centric systems

net-Design for tech-savvy warfighters

The soldiers now using this equipment are digital natives — almost born with modern technologies in their hands

Along with this technological ness comes a high level of assumption and expectation

adept-Today’s warfighter expects and pends on access to technologies as good

de-as or better than what they have at home, such as an iPhone X, and social net-working services to enable information sharing in real time in the battlefield All

of today’s internet resources, whether searching on Google or asking questions

of Siri or Alexa, are only years away from being available to the warfighter As we increasingly bring reliable networked

desktop computing, mobile platform, and social media capabilities to the warfighter to enable “network-centric warfare,” the network itself has become a key component of our ability to operate.This technological adeptness can also be leveraged to address readiness,

an area of military spending that has been relatively underfunded in recent years Advanced computing can be brought to bear for training and mis-sion-planning and exploiting technolo-gies developed for the gaming industry

to provide sophisticated, realistic scenarios and experiences

By having training embedded in the actual deployed platform, warfighters will be able to train while they operate without requiring a dedicated training location Realistic simulation can be done virtually, providing, for example, the ability to train for a specific mis-sion while en route

Contain costs with open systems

Many of the technologies discussed

ELECTRONIC PRODUCTS • electronicproducts.com • APRIL 2018

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above will benefit from the use of open

systems, which reduce design risk and

greatly speed time to deployment The use

of open systems also delivers significant

cost reductions Affordability results from

competition and provides an alternative to

expensive proprietary solutions

Another key benefit of open systems

is seen in technology insertions Open

systems enable the rapid insertion of

new technology by defining an

inter-face between different entities whose

advancements progress at different

rates An open-systems interface, such

as the OpenVPX system architecture,

functions as a differential that enables

the use of technologies that evolve out

of synchrony

For example, the fire control

com-puter algorithms used in a main battle

tank to handle ballistic solutions tend to

evolve at a very slow relative rate with

very little change from one year to the

next In comparison, the underlying

processing technology used to run those

algorithms progresses much faster On

the flip side, with EW as the example,

the very sophisticated algorithms used to

help identify a specific signal of interest

in the noise of the electromagnetic

spec-trum have developed at a much faster

rate than the processors that are used to

run them in deployed systems

The result is that the most advanced

EW algorithms wait for processor

bandwidths to catch up in order for them to be put to use The use of open-standard interfaces enables the processing technology and the algo-rithms used on deployed platforms to advance at different rates

Innovation opens door to vulnerabilities

For every new opportunity and nological leap forward, there is likely

tech-to be an associated vulnerability that emerges While investing in the tech-nologies sought by the DoD in order

to enable new capabilities and increase force lethality, technology providers must also invest in mitigating against those vulnerabilities

The use of COTS-based open tems provides a cost-effective approach

sys-to bringing these capabilities sys-to the warfighter quickly and with the least risk To bring the powerful benefits

of advanced computing, AI, omy, and robotics to the warfighter, COTS solutions must be designed and packaged to meet the environ-mental and usage requirements of the battlefield The equipment must be dependable and operate while exposed

auton-to extreme environmental conditions

The technology must also be designed and packaged to ensure safe and secure operation Care must be taken to en-sure safe operation without requiring burdensome safety precautions System

designers need to design and package next-generation COTS solutions to eliminate vulnerabilities to adversarial access or attack, including cybersecu-rity and protection against reverse-en-gineering to prevent physical access intended to disrupt operation

It’s essential that these new ogies assure the security of the defense systems and critical information during development and operation

technol-Another area of great importance is testing, which must be done to ensure that deployed COTS solutions are reliable and deliver error-free operation throughout their useful life

Conclusion

The DoD and warfighters depend on trusted and proven sources of supply, and Congress has made available the funds to make this happen Now it’s up

to designers and other innovators to realize the full promise of new technol-ogies outlined here, just as examples For sure, the COTS approach provides

a proven alternative to costly, closed proprietary system architectures, speeds deployment, and ensures that critical technologies remain readily available over the lifecycle of their use How tech-nologists build upon and apply it for next-generation battlefield deployments with more tech-savvy warfighters will be interesting to watch ☐

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Trang 15

Designing an optical heart rate

monitoring (HRM) system, also

known as photoplethysmography

(PPG), is a complex and multidisciplinary

undertaking Design factors include

human ergonomics, signal processing and

filtering, optical and mechanical design,

low-noise signal receiving circuits, and

low-noise current pulse creation

Wearable manufacturers are

increas-ingly adding HRM capabilities to their

health and fitness products, which is

helping to drive down the cost of sensors

used in HRM applications Many HRM

sensors now combine discrete

compo-nents such as photodetectors and LEDs

into highly integrated modules These modules enable a simpler implementa-tion that reduces the cost and complexity

of adding HRM to wearable products

Wearable form factors are steadily changing as well While chest straps have

effectively served the health and fitness market for years, HRM is now migrating to wrist-based wearables Advances in optical sensing technology and high-performance, low-power processors have enabled the wrist-based form factor to be viable for

System integration considerations for heart rate sensing designs

When it comes to optical

Fig 1: Principles of operation for optical heart rate monitoring.

Fig 2: The basic electronics required to capture optical heart rate.

Excitation signal Typically green (525 nm ), 100 µs long pulses repeated at 25 Hz

Attenuated and pulse modulated light

Optical blocking is critical to prevent the unmodulated excitation signal from overwhelming the desired signal

Skin

Sensor PhotodiodeGreen LED

Subdermal Tissue

ELECTRONIC PRODUCTS • electronicproducts.com • APRIL 2018

FEATURE 13

Discrete Semiconductors

Trang 16

many designs The HRM algorithms have

also reached a level of sophistication to be

acceptable in wrist form factors

Other new wearable sensing form

fac-tors and locations are emerging — such

as headbands, sport and fitness clothing,

and earbuds However, the majority of

wearable biometric sensing will be done

on the wrist

HRM design fundamentals

No two HRM applications are alike

System developers must consider many

design tradeoffs: end-user comfort,

sensing accuracy, system cost, power

consumption, sunlight rejection, how

to deal with many skin types, motion rejection, development time, and physical size These design considerations impact system integration choices: whether to use highly integrated modules or architectures incorporating more discrete components

Fig 1 shows the fundamentals of

mea-suring heart rate signals, which depend

on the heart rate pressure wave being optically extracted from tissue It displays the travel path of the light entering the skin The expansion and contraction of the capillaries — caused by the heart rate pressure wave — modulate the light signal injected into the tissue by the green LEDs

The received signal is greatly

attenu-ated by the travel through the skin and is picked up by a photodiode and sent to the electronic subsystem for processing The amplitude modulation due to the pulse is detected, analyzed, and displayed

A fundamental approach to HRM tem design uses a custom-programmed, off-the-shelf MCU that controls the puls-ing of external LED drivers and simul-taneously reads the current output of a discrete photodiode Note that the current output of the photodiode must be con-verted to voltage to drive analog-to-digital

sys-(A/D) blocks The schematic in Fig 2

shows the outline of such a system.Here, it’s worth noting that the I-to-V converter creates a voltage equal to VREF

at 0 photodiode current, and the voltage decreases with increasing current

HRM building blocks

The current pulses generally used in heart rate systems are between 2 mA and 300 mA, depending on the color

of the subject’s skin and the intensity of sunlight with which the desired signal needs to compete The infrared (IR) radiation in sunlight passes through skin tissue with little attenuation, unlike the desired green LED light, and can swamp the desired signal unless the green light

is very strong or unless an expensive IR blocking filter is added

Generally speaking, the intensity

of the green LED light, where it enters the skin, is between 0.1 and three times the intensity of sunlight Due to heavy attenuation by the tissue, the signal that arrives at the photodiode is quite weak and generates just enough current to al-low for a reasonable signal-to-noise ratio (SNR) — 70 to 100 dB — due to shot noise even in the presence of perfect, noise-free op-amps and A/D converters.The shot noise is due to the finite number of electrons received for every reading that occurs at 25 Hz The photodiode sizes used in the design are between 0.1 mm2 and 7 mm2 Howev-

er, above 1 mm, there are diminishing returns due to the effect of sunlight.The difficult and costly function blocks to implement in an optical heart

rate system design, as shown in Fig 2, are

the fast, high-current V-to-I converters

Fig 3: An integrated heart rate sensor requires only external LEDs.

Fig 4: A highly integrated HRM sensor module incorporating all essential components.

Trang 17

that drive the LED, a

current-to-volt-age converter for the photodiode, and

a reliable algorithm in the MCU that

sequences the pulses under host control

A low-noise LED driver — featuring 300

mA and 75–100 dB SNR — that can be

set to very low currents down to 2 mA

while still creating very narrow light

pulses down to 10 µs is an expensive

block to achieve with discrete op-amps

The narrow pulses of light down to 10

µs, shown in Fig 2, allow the system to

tolerate motion and sunlight Typically,

two light measurements are made for

each 25-Hz sample One measurement is

taken with LEDs turned off and one with

LEDs turned on The calculated

differ-ence removes the effect of ambient light

and gives the desired raw optical signal

measurement that is insensitive to the

flickering background light

The short duration of the optical

pulses both allows and requires a

rela-tively strong light pulse It is essential to

stay brighter than the sunlight signal,

which may be present and not allow the

PPG signal carrier to be dwarfed by the

sunlight signal

If the sunlight signal is larger than

the PPG carrier, then although it may be

removed by subtraction, the signal can

be so large that external modulation such

as swinging an arm in and out of shadow

can create difficult-to-remove artifacts

As a result, systems that use low-current

LED drivers and large photodiodes can

suffer severely from motion artifacts in

bright-light situations

Discrete vs integrated design

Much of the desired HRM sensing

func-tionality is available pre-designed and

integrated into a single device Packing

most of this functionality into one piece

of silicon results in a relatively small 3 x

3-mm package that can even integrate

the photodiode itself

Fig 3 shows an example of a

sche-matic with an optical sensor This HRM

design is relatively easy to implement

You just need to focus on the optical

por-tion of the design, which includes optical

blocking between the parts on the board

and coupling the system to the skin

While the approach shown in Fig 3

results in a high-performance HRM tion, it’s not as small or power-efficient as some designers would like To achieve an even smaller solution, the LED die and the control silicon must be integrated into a single package that incorporates all essential functions, including the optical blocking and the lenses that improve the

solu-LED output Fig 4 illustrates this more

integrated approach, based on a Silicon Labs Si117x optical sensor

No external LEDs are required for this HRM design The LEDs and photodiode are all internal to the module, which can

be installed right below the optical ports

at the back of a wearable product such as

a smartwatch This approach enables a shorter distance between the LEDs and photodiode than is possible with a dis-crete design The reduced distance allows operation at extremely low power due to lower optical losses traversing the skin

Integrating the LEDs also addresses the issue of light leakage between the LEDs and photodiode so that the designer doesn’t have to add optical blocking to the PCB

The alternative to this approach is to handle the blocking with plastic or foam inserts and special copper layers on the PCB

There is one more part of an HRM design that developers don’t necessarily need to create: an HRM algorithm This software block residing on the host pro-cessor is quite complex due to the signal corruption that occurs during exercise and motion in general End-user motion often creates its own signal that spoofs the actual heart rate signal and is sometimes falsely recognized as the heart rate beat

If a wearable developer or manufacturer doesn’t have the resources to develop the algorithm, third-party vendors provide this software on a licensed basis It is up to the designer to decide how much integra-tion is right for the HRM application The developer can simplify the design process and speed time-to-market by opting for a highly integrated module-based approach using a licensed algorithm

Developers with in-depth optical sensing expertise, time, and resources may opt to use separate components — sensors, photodiodes, lenses, etc — and

do their own system integration and even create their own HRM algorithm ☐

ELECTRONIC PRODUCTS • electronicproducts.com • APRIL 2018

FEATURE 15

Discrete Semiconductors

Trang 18

Artificial intelligence (AI), electrification, and

in-cab-in entertain-cab-inment are just some of the revolutionary

changes underway for automobiles, causing a complete

rethink of how an automobile should be designed and used

They’re also cause for designers to rethink their own role in the

automotive design chain

From a semiconductor and components environmental

per-formance point of view, the same rules apply, namely AEC-Q100,

which has been around since 1994 This defines the temperature,

humidity, and other reliability factors Since 1994, however, much

has changed, and soon, “auto” mobiles will start living up to their

name, thanks in large part to advances in sensor integration, AI,

Moore’s Law, and some people in remote regions making a living

by tagging images to make smart systems more accurate

For example, accurate labeling can make the difference

between distinguishing between the sky and the side of a

truck Mighty AI is one company focused on ensuring accurate

tagging using teams of humans spread globally According to its

founder, S “Soma” Somasegar, there is a large role for humans

in this loop for a long time to come “We’re not building a

sys-tem to play a game; we’re building a syssys-tem to save lives,” said

Mighty AI CEO Daryn Nakhuda.1

Getting to the point at which autonomous vehicles can be

considered relatively safe for everyday use is an interesting

challenge that has captured the imagination of automobile

OEMs and electronic system designers and spurred innovations

in sensors, processing, and communications

For some time, it was believed that LiDAR would be the

critical breakthrough technology that would enable

auton-omous vehicles, but now, developers have realized that it’s a

combination of every sensor input possible, including sonar,

high-definition cameras, LiDAR, and radar, all to ensure

accu-rate ranging and identification of objects According to GM, the

autonomous version of its Chevy Volt electric vehicle (EV) has

40 more sensors and 40% more hardware

Lowering the cost and power consumption of that

hard-ware, especially for advanced image processing, is one of many

critical enabling factors for autonomous vehicles To that end,

Dream Chip Technologies announced an advanced driver assistance system (ADAS) system-on-chip (SoC) for computer vision at Mobile World Congress (MWC) that greatly increases performance while lowering power consumption

The ADAS SoC was developed in collaboration with Arm, ArterisIP, Cadence, GlobalFoundries (GF), and Invecas as part

of the European Commission’s ENIAC THINGS2DO reference development platform It was developed on GF’s 22FDX tech-nology to lower the power required for AI and neural network (NN) processing so that it can be embedded into a vehicle without the need for active cooling techniques, which can add weight, size, and cost while increasing the probability of failure.The SoC uses Dream Chip’s image signal-processing pipe-line, Tensilica’s (Cadence) P6 DSPs, and a quad-cluster of Arm Cortex-A53 processors to get to 1 tera operations per second (TOPS) with a power consumption “in the single digits.”

Distributed vs centralized sensor processing

The low-power performance of Dream Chip Technologies’ SoC

at low power for image processing is critical, given that latency needs to be minimized to avoid incidents The further that a ve-hicle can see, and the sooner that it can process what it sees, the safer a vehicle will become However, as mentioned, there are many sensors required for reasonably intelligent decision-mak-ing, which raises the question of where and how all of those sensor inputs should be processed

Sensor fusion techniques are well-known in applications such

as drones, in which gyroscopes, accelerometers, and tometers are managed in such a way that the benefits of each are accentuated and the negatives attenuated How can this be done for autonomous vehicles with so many and varied sensors?

magne-To tackle this, Mentor Graphics decided to work backwards and start with Level 5 autonomy in mind Its approach is called DRS360 and it takes (fuses) raw sensor data from LiDAR, radar, and cameras and processes it to develop a 360-degree real-time view of vehicle surroundings The centralized approach reduces latencies but does require a high level of centralized processing, which Mentor provides using Xilinx Zynq UltraScale+ MPSoC FPGAs with its advanced NN algorithms The alternative is to

do the image, LiDAR, or radar processing locally at the sensor and send the results upstream, but that approach doesn’t scale

as efficiently as DRS360, nor does it take full advantage of idly changing and evolving algorithms The downside is a single point of failure, but built-in redundancies and good design can offset that

rap-The importance of automotive sensors is not lost on the MIPI Alliance, which is bringing its experience with defining sensor physical-layer interfaces on mobile handsets to the rapidly evolving automotive space On Oct 7, it announced the formation of the MIPI Automotive Working Group (AWG) to

AI alters auto design challenges

Getting to the point at which autonomous vehicles

can be considered safe for everyday use is a

challenge that has captured the imagination of

automobile OEMs, spurring innovations in sensors,

processing, and communications.

Automobile designers need to incorporate new approaches as change comes quickly

BY PATRICK MANNION

Contributing Editor

Ngày đăng: 02/03/2019, 10:26

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