Strategic Patent Monetization 4Q 2015

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©2015 TechIPm, LLC All Rights Reserved http://www.techipm.com/
Strategic Patent Monetization 4Q 2015
Alex G. Lee (alexglee@techipm.com)
https://www.linkedin.com/today/author/2853055
Contents:
1. The Monetizing Patent’s DNA: How to identify and develop the monetizing patents
2. Internet of Things (IoT) Patent Monetization without Litigation: Connected Cars Case Study
3. Internet of Things (IoT) Patent Monetization New Business Model
4. Internet of Things (IoT) Strategic Patent R&D for New Value Creation
5. Evaluation ofMonetized Patents fortheInternet ofThings (IoT)ConnectivityStandards
6. Increasing Monetization Activities Exploiting LTE Patents
7. How much will Apple need to pay to Ericsson for a reasonable licensing royalty of 4G LTE patents?
8. Internet of Things (IoT) M&A Target Candidates Insights from Patents
9. Apple’s Strategic Alignment in Patent and M&A
10. Alcatel-Lucent acquisition by Nokia would provide leadership in Mobile based IoT innovation
11. Investment for Patent Monetization
12. Increasing IP Financing Activities Exploiting Wireless Patents
13. Internet of Things (IoT) Investment Insights from Patents

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1. The Monetizing Patent’s DNA: How to identify and develop the monetizing patents
I. Introduction
On April 7, 2015, the USPTO issued U.S. Patent No. 9,000,000. Even if there were so many patents that were
issued up to now, however, the number of patents that were commercially exploited and monetized successfully
was very small. This is similar to the situation that, even if there were so many innovators and entrepreneurs, only
small numbers achieved commercial success from their ideas.
In “The Innovator's DNA”, the authors identified the codeof successfulinnovators that distinguishes them from
others based on the case study of well known successfulinnovators such as Steve Jobses and Jeff Bezoses. The key
lesson from the research of the innovator’s DNA was that the successfulinnovators’ DNA is not simply genetic
traits endowed, but that they can be developed. Then, by the analogy, one can ask similar questions for patent:
What make the monetizing patents different?; Can we find the codeof the monetizing patents?; Can we identify
and develop the monetizing patents?
Monetizing patents protect the market for commercially successfulproducts/services from competitors. Monetizing
patents can be exploited as financial/investment assets or through licensing to other parties for additional cash flow.

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Followings are the monetizing patent’s DNA uncovered from the case study of carefully selected monetizing
patents through the integrated technology, legal and business analysis.
 Monetizing patents solve the right technological problem: the right technological problem is a problem in
great needs of improved/innovative solution; the right technological problem is recognized well in an
industry; the right technological problem leads to a solution that has great business impacts; the solution of
the right technological problem follows the correctevolutionally pass for emerging technology.
 Monetizing patents practice value innovation: monetizing patents provide unique value proposition with
maximum market protection; monetizing patents provide values to customers without additional cost/pain or
infrastructure/process change requirements.
 Monetizing patents actively participate in the business ecosystem: monetizing patents can be a platform or
integrated into a platform; monetizing patents form a dominant design or industry standard; monetizing
patents form diverse value chains; monetizing patents derive the value for M&A.
 Monetizing patents are legal savvy: monetizing patents are created following the case laws and statutes to
obtain maximum legal rights; monetizing patents are the litigation-proof patents; monetizing patents adapt to
the dynamic changes of legal environment.

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II. TiVo Case Study
TiVo patent US6233389 is an invention regarding the digital video recorder (DVR). Today, many digital set-top
boxes include the key functionality of US6233389. TiVo monetized US6233389 through licensing and litigation
including $500 million settlement with EchoStar and $490 million settlement with Google and Cisco.
Monetizing DNA of US6233389
Monetizing DNA Details
solve the right
technological
problem
The viewer stores TV programs onto magnetic tape using the VCR. The VCR can pause the
program playback whenever he desires, fast forward through unwanted program material or
commercials, and to replay favorite scenes. However, a VCR cannot both capture and play
back information at the same time. The invention provides an easily manipulated, low cost
multimedia storage and display system that allows the user to view a television broadcast
program with the option of instantly reviewing previous scenes within the program. In
addition, the invention allows the user to store selected television broadcastprograms while
the user is simultaneously watching or reviewing another program: solve a problem in
greatneeds of improved/innovative and recognizedwell in an industry

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An embodiment of the invention accepts television (TV) input streams in a multitude of
forms including digital forms such as Digital Satellite System (DSS), Digital Broadcast
Services (DBS), or Advanced Television Standards Committee (ATSC): leads to a solution
that has great business impacts (with the development of digital TV and broadband
internet access)
The invention can be used in the detection of gambling casino crime. The input section of
the invention is connected to the casino's video surveillance system. Recorded video is
cached and simultaneously output to external VCRs: follows the correctevolutionally pass
for emerging technology (e.g. applications in smart home/building security system)
practice value
innovation
An embodiment of the invention accepts television (TV) input streams in a multitude of
forms including digital forms such as Digital Satellite System (DSS), Digital Broadcast
Services (DBS), or Advanced Television Standards Committee (ATSC): provide values to
customers without additional cost/painor infrastructure/process change requirements
by being included in the current digital systems
Although a VCR is specifically mentioned, any multimedia recording device (e.g., a Digital

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Video Disk-Random Access Memory (DVD-RAM) recorder) is easily substituted in its
place: provide unique value proposition with maximum market protection; The invention
can be used in the detection of gambling casino crime. The input section of the invention is
connected to the casino's video surveillance system. Recorded video is cached and
simultaneously output to external VCRs: provide unique value proposition with
maximum marketprotection
actively participate
in the business
ecosystem
HBS ProfessorIansiti, the author of “The Keystone Advantage,” suggested technological
assimilation as a new engine for technological innovations in his article “Creative
Construction.” In the technological assimilation frameworks, a core innovation that once
provided stand-alone products orservices for a specific market can be the building blocks
for mass market generating innovations through assimilation to broader platforms that were
not existed at the time of innovations. A good example may be the GPS technology
providing LBS (location based services) applications for smartphones and automobiles.
Another good example may be the DVR technology of TiVo that was integrated into digital
set-top box and smart home platforms: can be a platform or integratedinto a platform
legally savvy 4 US Families/ Total of 16 independent claims/High in different kind of statutory claim
types: protection againstinvalidation

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Exploited in 9 litigations and won the cases: litigation-proof

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2. Internet of Things (IoT) PatentMonetization without Litigation: ConnectedCars Case Study
Zetta Research Development LLC is an intellectual property management company that acquires, develops and
sells patent portfolios from patent holders (startups, inventors, investors and lenders). Zetta finds patent holders
that have potentially valuable patents and helps patent holders to develop and sell the patent portfolios that will be
valuable for a specific emerging business. Patents are assigned into a special purposeholding entity. Zetta’s equity-
based investment exploits the fund it manages. Rather than relying on the litigation enforcement, Zetta seeks to sell
the portfolios to the strategic buyers at the time when market conditions are most advantageous.
Zetta Research and Development LLC, ForC series is a special purposeholding entity for developing patent
portfolio regarding the connected cars. Starting from the U.S. Patent Application No. 61/637,588, dated 24 Apr.
2012, it developed nice issued patents and six published patent applications regarding V2V (Vehicle to Vehicle)
communication applications for the connected cars. Followings illustrate some key patents that are developed by
Zetta.
US8922391 illustrates the collision avoidance system using the V2V communication system. The V2V
communication system includes the V2V transceiver in a transmitting vehicle that broadcastsV2V messages at
regular intervals. The V2V messages comprise the subject vehicle position, heading and speed that are received
from the gateway. The collision avoidance system computes a likely future location of the subject vehicle and a

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risk value of a possible collision involving the subject vehicle. The collision avoidance system generates a warning
if the computed risk value exceeds a risk threshold.
US9031089 illustrates the vehicle communication system for transmitting and receiving messages regarding the
status of parking spaces, suchas empty or occupied. Only vehicles belonging to a predetermined set are able to
decrypt such messages. The parking information messages describe the shape and size of vehicle entering or
leaving a parking space.

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3. Internet of Things (IoT) PatentMonetization New Business Model
PatentExploited Design-to-ValueNew Product Development
McKinsey introduced the design-to-value (DTV) approachof new productdevelopment for developing winning
products in the emerging markets. The basic conceptof the DTV is to design a productin a way that strategically
includes only the essential features of a productto get the optimal value propositions to costratio, but still
maintaining its market competitiveness. The DTV methodology exploits market insights to figure out the features
that valued most by customers, competitive intelligence to figure out the features in the competitors’ products and
engineering know-how to optimize the value propositions to costratio. Patents can be exploited for the DTV
approachof new IoT products development by using the Blue Ocean Patent Strategy and products insights from
patents.
The basic principle in the Blue Ocean Patent Strategy is to exploit existing patents to achieve the value innovation,
and thus, to serve the customers in fundamentally different ways. By deciding which factors (that are covered by
the existing patents) of the existing products are really crucial, and thus, needed to raise and/or create, the new IoT
products that can change the value propositions from the typical direction of a specific market can be developed.
Another way to achieve the value innovation is to integrate into the existing platforms. In the technological
assimilation frameworks, a core innovation that once provided stand-alone products orservices for a specific

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market can be the building blocks for mass market generating innovations through assimilation to broader
platforms that were not existed at the time of innovations. By contrasting all possible value propositions from an
existing platform to the potential value propositions provided by the inventive departures (novelty points) of the
existing patent(s), the integration feasibility of the existing patented technologies into the platform can be found,
and thus, the new integrated value propositions of the new IoT products can be developed.
Patents can also provide the insights for the new IoT product development opportunity baseon the scenarios
analysis. The first step in the scenario analysis is to do patent search and review for the state of the art of IoT
innovation for the specific IoT application. The searched patents that are related to the specific IoT application
should be analyzed to find the measurable user benefits provided by the value propositions (e.g., automation, care,
safety, entertainment) and method/device/system to offer the value propositions. Then, one should develop a story
of the future implementations of the state of the art of IoT innovation for the specific IoT application exploiting
5W1H - Who, When, Where, What, Why, How. Base on the developed scenarios, potential improvements over the
existing products canbe devised.
PatentValueIntegration for New IoT BusinessDevelopment
Even if the IoT gets a huge attention recently, the conceptof interconnected devices and connecting billions of
devices to the internet in the IoT is not new and has been researched for over 10 years. Thus, there may be a large
number of patents (that were not intended for specific IoT application at the time of invention) that can be

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exploited for developing new IoT business by forming the strategically packaged patent portfolio for providing the
new IoT value propositions. The strategically packaged patent portfolio is the collection of the existing patents that
can be exploited for developing new products/services (and thus, new business) by integrating the value
propositions of each patent of the portfolio. The strategically packaged patent portfolio can be used for
monetization through patent sale, patent licensing, commercialization, spin-off, patent banking, and financing.
Mitsubishi Electric Research Laboratories (MERL) is the North American arm of the corporateR&D organization
of the Mitsubishi Electric Corporation. MERL conducts application motivated basic research and advanced
development. Total of 1000 MERL issued patents and published patent applications are reviewed for finding the
good candidates for strategically packaged patent portfolio. MERL patents covered several IoT related applications:
Wireless & Optical Communications (IoT Connectivity), Power Distribution System (Smart Grids), Vehicle
Control/Information System (Connected Cars), Electronic Devices (IoT Sensors)and Building Automation (Smart
Home). Through the IoT application motivated analysis for the IoT related patents, the strategically packaged
patent portfolio regarding the IoT connected electric cars can be formed. The strategically packaged patent
portfolio consists of 23 patents that cover the Intelligent Driver/ Navigation SupportSystem, Safety/Collision
Avoidance System, Vehicular Networks, Autonomous Driving System, Voice ControlSystem, and Wireless
Charging System.
Followings summarize some examples of the key MERL patents for the IoT connected electric cars.

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US20150134244 illustrates the navigation system for predicting travel destinations (e.g., mostfavorite destinations
for the driver) according to a history of destinations. The navigation system uses a prior driving history or habits.
This information is used for making predictions for the current destination desired by a user of the vehicle. The
information can be segregated into distinct user profiles and can include the vehicle location, previous driving
history of the vehicle, previous searching history of a user of the vehicle, or sensory input relating to the
characteristics of the vehicle.
US8831290 illustrates the vehicle safety system that uses the vehicle-mounted camera to detect obstacles near
vehicles. The vehicle safety system detects people and obstacle near moving vehicles, particularly in constricted
environments such as garages, loading docks, drive ways, parking lots, and generally roads, etc., when the vehicle
is backing up.
US8233389 illustrates the congestion control protocolfor vehicular ad-hoc networks (VANET). The congestion
control protocolextracts and stores local network information, i.e., node density and aggregate data rate,
neighboring node information, number of successes and failures in reception, for incoming and outgoing messages.
It also keeps track of node status. The protocolperforms congestion control, admission controland rebroadcast
control operations.

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US20150259007 illustrates the method for a semi-autonomous driving of a vehicle with a steer-by-wire system
having a steering wheel mechanically decoupled from vehicle wheels determines values for the steering angle and
the wheels angle tracking a target value of the wheels angle received from a semi-autonomous driving planning
(SADP) system.
US9159317 illustrates the automatic speechrecognition system that can provide the speechrecognition while
placing low cognitive load on a user.
US8674549 illustrates the system that can exchange energy wirelessly via a coupling of evanescent waves.
For further analysis for the strategically packaged patent portfolio regarding the IoT, please see
University Internet of Things (IoT) Patent Landscape: https://www.linkedin.com/pulse/university-internet-things-
iot-patent-landscape-lee-ph-d-j-d-clp?trk=pulse_spock-articles
Intellectual Ventures Patents for Internet of Things (IoT): https://www.linkedin.com/pulse/intellectual-ventures-
patents-internet-things-iot-alex-g-?published=t

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4. Internet of Things (IoT) Strategic PatentR&D for New Value Creation
StrategicPatent Portfolio DevelopmentExploitingExistingPatents
Well tailored value creation methodology combined with patent prosecution strategy can develop new patent
portfolios for maximum ROI from existing patents. Many patent applications and newly issued patents can be
further developed for creating new values by amending and creating claims and generating family patents to
encompass emerging technology and products/services trends, market demands, and strategic exploitation goals
(e.g., cross-licensing, monetization etc.).
Goldman Sachs defines IoT (internet of things) as the third wave of internet revolution: by connecting to the
internet billions of devices, IoT opens up a host of new business opportunities and challenges. Even if IoT gets a
huge attention recently, the conceptof interconnected devices and connecting billions of devices to the internet in
the IoT is not new and has been researched for over 10 years. Thus, there may be a large number of patents (that
were not intended for specific IoT application at the time of invention) that can be exploited for developing new
IoT patents supporting current and future IoT business goals.
New Patent Development Opportunity Case Study
Mitsubishi Electric Research Laboratories (MERL) is the North American arm of the corporateR&D organization
of the Mitsubishi Electric Corporation. MERL conducts application motivated basic research and advanced

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development. Total of 168 MERL patents filed within 3 years are reviewed for finding new IoT patents
development opportunities. Many patent applications in the field of Wireless & Optical Communications (IoT
Connectivity), Power Distribution System (Smart Grids), Vehicle Control/Information System (Connected Cars),
Electronic Devices (IoT Sensors)and Building Automation (Smart Home) are found to be the good candidates for
new IoT patents development.
StrategicPatent Developmentfor New Products/Services

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One can identify new patent R&D areas (“white space”) that can lead to new products/services development
through the patent landscape analysis. Specific patent R&D subject matters that can cover the new IoT
products/services further can be found from scenarios analysis. The scenarios analysis can show potential
interactions between the potential users and the new IoT products/services via the specific usage of the
products/services and behavior of the user under environments provided by the products functionality/services
offerings. Thus, the scenarios analysis can provide the specific patent R&D subject matters that cover the new IoT
products/services concepts (e.g., specific benefits to the user, products/services design, and the technology for the
products/services).
New Patent Development Opportunity Case Study
Philip Morris International is an American global cigarette and tobacco company. Philip Morris International
wanted to develop new electronic cigarettes that can reduce the disease and death caused by tobacco significantly.
Patent landscape analysis regarding the electronic cigarettes reviled that it is hard to find white spacein the
traditional electronic cigarette R&D areas. Specific patent R&D subject matters that can cover the new electronic
cigarettes were found based on the scenarios analysis: Smart electronic cigarettes exploiting the IoT applications.

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5. EvaluationofMonetizedPatentsforthe IoT (InternetofThings)ConnectivityStandards
No of Patents Analyzed/Assignee 115
Optis Cellular
Technology
15%
Qualcomm
12%
Intel
9%
Intellectual
Ventures
9%
France
Brevets
6%
Round Rock
6%
ZIH (Zebra)
5%
Acacia
3%
Avaya
Technology
3% BlackBerry
3%
Callahan Cellular
LLC
3%
Innovati
o IP
Venture
s
3%Nvidia
3% Sisvel
3%
UPIP
3%
Google
2%
Lenovo
2%
Wavelink
2%
Wi-Fi One
2%
WiLAN
2%
Agere System
1%
Avago
Technologies
1%Avaya Holdings
1%InterDigital
1%Inventergy
1%SDR Holdings
1%Spectralink
1%
Thomson
Licensing
1%Vringo
1%
Other
10%

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No of Patents Monetized Through
Acquisition/Assignor
109
No of Patents Monetized Through IP
Financing/Bank
39
Ericsson
22%
Nokia
16%
Micron
Technology
6%
Supersensor
6%
Snaptrack
4%
Panasonic
4%
NXP
4%
Ipwireless
4%
Intersil
4%
InsideSecure
4%
Gigabit
Wireless
4%
LG Electronics
3%
Broadcom
3%
Arraycomm
3%
Airgo Networks
3%
Conexant
2%
Silicon
Wave
1%
Palm
1%
Omnipoint
1%
Nortel
1%NCR Co.
1%Lear Co.
1%InterDigital
1%Harris Co.
1%BlackBerry
1%Aware
1%Agere System
1%Adaptix
1%3Com
1%
Other
9%

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Connectivity Standards 3GPP CDMA/LTE, IEEE 802.11 WiFi, IEEE 802.15.1/Bluetooth
SIG Core 2 – 4, IEEE 802.15.4 Zigbee, ISO 18092/NFC Forum
Related IoT Platform Samsung Artik, Apple HomeKit, Broadcom WICED™, Qualcomm
AllPlay, Google Connected Home, MediaTek LinkIT One,
Vodafone global M2M platform
Wilmington
Trust
46%
Bank of New
York
20%
Morgan Stanley
15%
Jeffries
Finance
5%
Bank of
Montreal
2%
Banker
Communications
Fund
3%
CBD Credit
Funding
3%
Deutsch
Bank
3%
Iroquois
Master Fund
3%

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Portfolios
Mobile
56%
WiFi
24%
NFC/RFID
17%
WPAN
3%

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Value Proposition
No of Patents Litigated 20
Average Forward Citations/No of Patents
with more than 50 Forward Citations
32/22
Increase
Connection
Reliability
35%
IncreaseData
Throughput
15%
Wireless
Identification
10%
QoS
8%
Low Power
Consumption
6%
Mobile
Transaction
5%
Location
Finding
4%
Power
Control
4%
Optimize
Communication
3%
Security
3%
Multimode
Modulation
2%
Synchronisation
2%
Carrier
Aggretion
1%
Decrease
Interference
1%
Mulimode
Operation
1%
Smart Antenna
1%

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Priority Year
0
2
4
6
8
10
12
14
1991
1993
1995
1996
1997
1998
1999
2000
2001
2002
2003
2004
2005
2006
2007
2008
2009
2010
Monetized Patents

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Wisdomain Valuation Grade
AA: Above top 1% in Value relative to the
relevant technical fields
A+: Top 1~3% in Value relative to the
A0: Top 3~5% in Value relative to the
A-: Top 5~10% in Value relative to the
B+: Top 10~20% in Value relative to the
B0: Top 20~50% in Value relative to the
B-: Top 50~60% in Value relative to the
C: Below top 60% in Value relative to the
B+
27%
B0
27%
A-
13%
C
9%
AA
9%
A+
6%
B-
6%
A0
3%

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Claim Mix: Degree to which different kind
of statutory claim types are used in a patent
H(igh) in Claim Mix means higher protection
against invalidation
M
62%
L
23%
H
15%

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Claim Diversity: Degree to which different
kind of claim formats, terminology,
arrangement in a given statutory claim type
are used in a patent
H(igh) in Claim Diversity means higher in
avoiding potential infringement loophole
L
55%
M
42%
H
3%

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Claim Setting: Degree to which different
kind of commercially significant settings
are used in a patent
H(igh) in Claim Setting means higher in
patent value realization
M
51%
H
25%
L
24%

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6. Increasing MonetizationActivities Exploiting LTE Patents
Recent TechIPm’s research for patents relate to 4G LTE standard found increasing monetization activities
exploiting LTE standard related patents. LTE patents analysis for the market leaders among LTE UE (cellular
phones, smart phones, PDAs, mobile PCs, etc.) and basestation (eNB) productmanufactures and innovators
identified more than 1600 issued patents hold by 42 entities in the US as of March 31, 2015 (ref.
http://www.techipm.com/alexdb/4G%20LTE%20Patents%20for%20Standards%20Data%201Q%202015_Intro.pdf
).
Among 42 LTE patents holders, NPE accounts for 11% IPR share of LTE standard related patents. Identified NPE
IPR shareholders are Adaptix, ETRI, InterDigital, Innovative Sonic, Inventergy, IPR Licensing, ITRI, Optis
Wireless Technology, Seoul National University, ThomsonLicensing and UPIP. Recent monetization activities
exploiting LTE patents among NPE shareholders are as follows.
Adaptix, a subsidiary of Acacia Research, sued several telecom operators including AT&T and smartphone
manufactures including HTC for infringement of its 4G LTE patents (ref.
http://www.law360.com/articles/616031/adaptix-ramps-up-at-t-htc-patent-feud-despite-setback ). Adaptix entered
into patent license agreements with several entities including NEC as settlements for patent dispute (ref.
http://finance.yahoo.com/news/acacia-subsidiary-resolves-action-nec-105900394.html ).

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InterDigital sued several smartphone manufactures including Nokia for infringement of its 4G LTE patents and
entered into patent license agreement with Samsung as a settlement for patent dispute (ref.
http://www.pcworld.com/article/2359140/samsung-signs-cellular-patent-deal-with-interdigital-ending-all-
litigation.html ).
UPIP sued several smartphone manufactures including Huawei for infringement of its 4G LTE patents in Germany
and the UK (Ref. http://www.businesswire.com/news/home/20140310005655/en/Unwired-Planet-Announces-
Enforcement-Action-Germany-United#.VR6pAfnF-HA ).
Recently, Optis Wireless Technology sued ZTE for infringement of its 4G LTE patents acquired from Panasonic
(Ref. http://www.rfcexpress.com/lawsuits/patent-lawsuits/texas-eastern-district-court/949460/optis-wireless-
technology-llc-et-al-v-zte-corporation-et-al/summary/ ).
Inventergy is actively operating its licensing program exploiting its 4G LTE patents acquired from Panasonic (Ref.
http://www.marketwatch.com/story/inventergy-launches-standardized-licensing-initiative-for-mobile-device-
manufacturers-2015-03-09 ).

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In addition to NPE IPR holders, Ericsson and Nokia (both entities are accounts for 13% IPR share of LTE standard
related patents) are actively involved in monetization exploiting LTE patents:
Ericsson sued Samsung for infringement of its 4G LTE patents and entered into patent license agreements with
Samsung as a settlement for patent dispute (Ref. http://www.reuters.com/article/2014/01/27/us-ericsson-samsung-
patents-idUSBREA0Q0A120140127 ). Ericsson also sued Apple for infringement of its 4G LTE patents (Ref.
http://www.cellular-news.com/story/Legal/67300.php ). Licensing royalty of Ericsson that can have from Apple is
expected to be around $200 M per year (Ref. http://techipm-innovationfrontline.blogspot.com/2015/03/how-much-
will-apple-need-to-pay-to.html ).
Nokia sued HTC for infringement of its 4G LTE patents and entered into patent license agreements with HTC as a
settlement for patent dispute (Ref. http://www.theinquirer.net/inquirer/news/2327794/htc-and-nokia-end-legal-spat-
with-patents-agreement).

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7. How much will Apple need to pay to Ericssonfor a reasonable licensing royalty of 4G LTE patents?
Ericsson sued Apple for infringement over 41 Ericsson patents including 4G/LTE standard essential patents (SEPs)
related to Apple's iPhones and iPads. Ericsson said Apple owes it patent royalties for using its wireless
technologies in the iPhone and iPad, but Apple refused its fair and reasonable licensing offer.
Notwithstanding the recent administrative and judicial blocking against exploiting SEPs for injunction, several
courts ruled that SEPs are still eligible for monetary relief for infringement. In Microsoft Co., v. Motorola, Inc., No.
2:10-cv-01823-JLR (W.D. WA), the court provided basic guidelines for assessing FRAND royalty for SEPs. The
guidelines are based on the Georgia-Pacific analysis of the reasonable royalty (Georgia-Pacific Corp. v. U.S.
Plywood Corp., 318 F. Supp. 1116, 1120 (S.D.N.Y. 1970)) modified for taking into accountSSOs’ primary goals
for adopting FRAND commitments. The key modification to the Georgia-Pacific factors leads to the reasoning that
a royalty in a patent poolfor the specific SEPs at issue or comparable licensing transactions as a candidate for the
royalty established through negotiation under FRAND commitments. Thus, the royalty rate in the recently formed
LTE patent poolmay provide expected FRAND licensing revenue.
Another court’s guidelines for assessing FRAND royalty for SEPs can be found in In re INNOVATIO IP
VENTURES, LLC, No. 1:11-cv-09308 (N.D. Ill. 2013), Dkt. No. 975. The INNOVATIO IP VENTURES court
calculated FRAND royalty (cap) of WiFi SEPs as (average profit margin to the contribution of patentee’s SEPs)x

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(net profit of relating products)x (pro rata share of patentee’s SEPs to the total number of WiFi SEPs providing
similar contribution to the profit). Similar calculation can also lead to the FRAND royalty (cap)for 4G LTE
smartphone SEPs.
To evaluate Apple’s 4G LTE smartphone SEPs licensing royalty owed to Ericsson, Ericsson’s IPR share in 4G
LTE SEPs is researched. Recent TechIPm, LLC’s research for 4G LTE standard related patent in the US reviles
Ericsson’s 4G LTE smartphone SEPs’ IPR share is around 7% (for details about analysis method, please refer to
4G LTE Patents for Standard Innovativeness Ranking: http://techipm-
innovationfrontline.blogspot.com/2015/01/4g-lte-patents-for-standard_8.html).
Then, based on various market research data as of 4Q 2014, the net profit of Apple from smartphone sales per year
in the US market is calculated as roughly $10 B. Finally, if the average profit margin to the contribution of the 4G
LTE SEPs of 3% (smallest scalable productbase)is assumed, the licensing royalty of Ericssonthat can have from
Apple is expected to be around $200 M per year.

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8. Internet of Things (IoT) M&A TargetCandidates Insights from Patents
SmartHomeEnergyManagement
Ecofactor(http://www.ecofactor.com/) provides automated energy savings, comfort and controlthrough energy
efficiency, demand responseand HVAC performance monitoring services. Ecofactor holds 26 issued US patents
including one design patent regarding thermostat. In assessment of the commercial importance (e.g., potential
commercial implementation or licensing potential), Ecofactorpatents ranked second following Samsung
Electronics among top 10 innovators in the smart home patent landscape research.
Allure Energy (https://www.allure-energy.com/) is a smart home energy management companybased in Austin,
Texas. Allure Energy develops leading-edge smart energy management solutions for many IoT applications. Allure
Energy holds 22 issued US patents. Significant number of forward citations shows the high quality of the family
patents. Especially, many patents of most key industry players including Google (Nest Lab), GE and Honeywell in
the smart energy management heavily cited Allure Energy patents.
SmartHomeAutomation
Neura (http://www.theneura.com/) provides the intelligence IoT platform and human-centered smart home
application solutions. Neura patent application US20150019714 illustrates the adaptable autonomous smart home
system. The adaptable autonomous smart home system can recognize the contextual or semantic profiling of a

34
personor place or devices (physical environment) based on sensed data by the IoT devices. The adaptable
autonomous smart home system determines particular interpretation instructions (define particular IoT device
control rules) that are associated with the particular physical environment and dynamically updates the control
rules for changing physical environment.
Pie Digital (http://piedigital.com/) provides cloud-based services for smart home applications. Pie Digital patent
application US20140201340 illustrates the smart home system that can dramatically simplify and automate the
configuration, maintenance and integration of the IoT devices in the home and office.
SmartHomePersonal Care
Jibo (https://www.jibo.com/) provides the world’s first social robotfor the home (demo video:
https://www.youtube.com/watch?v=3N1Q8oFpX1Y). Jibo patent application US20140277735 illustrates the
friendly, helpful and intelligent home robotthat can adapt to reside continually in the environment of a person and
to interact with a user. Jibo can provide emotional engagement with the user. Jibo can senseand respond and learn
as the user engage with Jibo.
Affectiva (http://www.affectiva.com/) is an emotion sensing technology company that grew out of MIT’s Media
Lab. Affectiva patent application US20140200463 illustrates a practical possibility of implementation of emotion-

35
aware smart home IoT applications by determining well-being status from an analysis of facial information and
physiological information of an individual.
Connected Cars
INRIX (http://inrix.com/) analyzes traffic and movement data from 100’s of data sources including the most robust
crowd-sourced network of 175 million vehicles and devices. INRIX patent application US20150035666 illustrates
the system for monitoring the user driving behavior in various driving contexts, and presenting driving suggestions
of alternative driving behaviors. The presentation of the alternative driving behaviors to the user can facilitate
changes in user driving behavior that improve the safety, efficiency, and/or comfort of the driving experience.
Zubie (http://zubie.com/) was formed in 2012 as a joint venture between Best Buy and Open Air Equity Partners.
Since began with a focus on connected car applications for consumers in the US, and has expanded globally into
services for insurers, small businesses, large fleets and auto dealers. US20140167983 illustrates an integration of
the smart home and connected car system. Smart home system includes home smart appliance networks, home
smart energy systems, smart lighting system and others. The smart home system can include sensors or
components that are physically located at different places throughout the home and are in communication with a
central "command center" that consolidates information from each of the sensor/components whether a particular
entry door, window, or garage dooris opened, or whether a motion sensorhas sensed any motion, or whether a
particular light or set of lights is off/on or a current temperature of the house

36
Connected Healthcare
Bobo Analytics (http://www.mybobo.com) is a smart healthcare technology and data analytics company for
performance optimization. Bobo Analytics patent application US20140073486 illustrates the physiological
measurement systems for continuous health and fitness monitoring. A lightweight wearable system is provided to
collect various physiological data continuously from a wearer without the need for a chest strap. The system also
enables monitoring of the physiological parameters in addition to heart rate including bodytemperature, heart rate
variability, motion, sleep, stress, fitness level, recovery level, effect of a workout routine on health, caloric
expenditure. The system enables automatic interpretation of the physiological parameters to assess the
cardiovascular intensity experienced by a user.
Hello (https://hello.is) builds hardware and software to help people live better through understanding themselves
and the world around them. Founded in 2012 and based in San Francisco, California. Hello is a team of designers,
engineers, and operations staff. US20140249760 illustrates the system including wearable or portable monitoring
device that can detect user's activities, behaviors, habit information, and health. The monitoring system determines
user's melanin level.
IoT Security

37
Zscaler (https://www.zscaler.com/) is a global cloud-based information security company. Zscaler patent
application US20140208426 illustrates the system for dynamic cloud-based malware behavior analysis. The cloud-
based behavioral analysis system includes nodes that communicatively coupled to the users. The nodes perform
inline monitoring and malware detection and preclusion.
IoT Big Data Analytics
Bit Stew Systems (http://www.bitstew.com/) provides the premier platform for handling complex data integration,
data analysis, and predictive automation for connected devices on the Industrial Internet. In the electricity supply
industry, a typical advanced metering infrastructure network comprises millions of smart meters, each containing
multiple hardware and software elements, sending hundreds of millions of data points per day through a variety of
communications networks to an array of back-office systems. Bit Stew Systems patent application
US20150213035 illustrates the big data analytics system for organizing, searching and accessing data created by
multiple disparate data sources within a utility supply system.
Cloud for IoT
EVRYTHNG (https://evrythng.com/) provides the IoT cloud platform that connects any consumer productto the
Web and manages real-time data to drive applications. EVRYTHNG patent application US20140181256 illustrates
the system that can compute the object identifier and contextual information based on pre-defined set of rules and

38
map the object identifier and contextual information to an entry point associated with a specific computer
application. The system provides access to the specific the application to the end-user through the cloud services.
IoT FinTech
PayRange (https://www.payrange.com/) provides the credit card solutions for machines. PayRange patent
application US20150227928 illustrates the mobile-device-to-machine payment system for facilitating a cost-
effective and easy-to-use cashless transaction for purchase of products orservices by a user from a payment
accepting unit such as vending, parking meters, luggage carts, transit ticketing, laundromats and amusement.

39
9. Apple’s Strategic Alignment in Patentand M&A

40

41
10. Alcatel-Lucent acquisition by Nokia would provide leadership in Mobile basedIoT innovation
Nokia announced the acquisition of Alcatel-Lucent at $16.6 billion. The acquisition would benefit its current
market position in telecom equipment business. The acquisition would also provide leadership in mobile based IoT
innovation.
M2M (Machine to Machine) and D2D (Device to Device) communication technologies are the key enablers for
emerging mobile based IoT (Internet of Things) applications. As the number of patent applications is a good
measure of innovation activities, to evaluate the M2M and D2D innovation activities, the patent applications
covering of key technologies for M2M and D2D communications are analyzed. More than 1300 patent applications
that are the essential patents for mobile based IoT are identified 1Q 2015 (ref.
http://www.techipm.com/alexdb/M2M%20&%20D2D%20Patents%20for%20IoT%20Data%201Q%202015_Intro.
pdf).
The merged Nokia and Alcatel-Lucent ranked third, just behind LG and Ericsson and ahead of Samsung.

42
11. Investment for Patent Monetization

43
12. Increasing IP Financing Activities Exploiting Wireless Patents
Patents can be used as collateral to secure a loan from a bank. Recent wireless patent research of security
agreement in the USPTO’s assignment data base uncovered the increasing financing activities exploiting wireless
patents as the recognition of wireless patents’ value is increasing (ref. http://www.slideshare.net/alexglee/wireless-
patents-for-standards-applications-1q-2015).
Company Bank/Fund Number
of
issued
patents
and
pending
patent
applicat
ions
Technology Key wireless patent USPTO
assignment link
Adaptix Baker
Communications
36 WiMax/LTE
Devices
US6947748: OFDMA with
adaptive subcarrier-cluster
http://assignment.
uspto.gov/#/assig

44
Fund configuration and selective
loading
nment?id=18875-
448&q=7454212
Spectralink Bank of Montreal 19 IEEE 802.11e
WiFi
US7616616: Apparatus and
method for enhanced quality of
service in a wireless
communications network
http://assignment.
uspto.gov/#/assig
nment?id=30122-
891&q=7616616
Wavelink Jefferies Finance 79 WLAN
Security
US7133526: System and
method for providing WLAN
security through synchronized
update and rotation of WEP
keys
http://assignment.
uspto.gov/#/assig
nment?id=31029-
849&q=6965674
Extricom Kreos Capital 17 WiFi AP US7164674: Multiplex
communication between access
points and hub
http://assignment.
uspto.gov/#/assig
nment?id=23355-
806&q=7164674
Devicefidelity Blue Sky Private 26 NFC Devices US8070057: Switching http://assignment.

45
Equity between internal and external
antennas
uspto.gov/#/assig
nment?id=34706-
572&q=7941197
First Data Credit Suisse AG 157 NFC Mobile
payment
system
US8523053: Enabling
consumer choice on contactless
transactions when using a dual-
branded payment instrument
http://assignment.
uspto.gov/#/assig
nment?id=30080-
531&q=8523053

46
13. Internet of Things (IoT) Investment Insights from Patents
Goldman Sachs defines the IoT (Internet of Things) as the third wave of internet revolution: by connecting to the
internet billions of devices, the IoT opens up a hostof new business opportunities and challenges. According to
McKinsey, the IoT has the potential to create up to $6 trillion economic value annually by 2025. The IoT has
various applications including, smart homes, connected cars, smart grids, smart healthcares, smart businesses and
smart cities. Many players across diverse industries including semiconductor, consumer electronics, ICT,
healthcare, retail, industrial & manufacturing and transportation are participated in the IoT business. Recently,
many global leaders in the IoT business provide the IoT platforms to create diverse platform-based business
models and form the IoT business ecosystem. According to the market research of Research and Markets, there are
more than 2000 companies (including 260 companies that are offering IoT platforms) that are selling IoT enabled
products, playing a vital part in the IoT technology infrastructure, or act as an enabler to the IoT development.
One of the best ways to understand the investment potential of IoT is to have insights regarding the market growth
potential and the earning power of specific technologies, business sectors or companies. Patent information can
provide many valuable insights that can be exploited for finding investment potential of IoT. Most of all, patents
can provide insights regarding the state of the art and future direction of IoT innovation for the specific
technologies (e.g., Smart UI/UX, Autonomous Vehicles, M2M Connectivity), products/services (e.g., Smart
Homes, Healthcare/Medical Devices, Connected Cars, Big Data Analytics) and companies (e.g., Apple, Cisco,

47
IBM, Qualcomm, Samsung). Patents also can provide insights regarding a new company to become play a leading
role in the emerging IoT market. Furthermore, patents can provide insights regarding emerging disruptive IoT
products/Services by providing IoT products with new performance/value proposition attributes that may not
previously have been valued by existing end users (e.g., convergence with other technologies to create synergies).
Therefore, one can find the specific IoT technologies, business sectors or companies for investment opportunities
in venture capital funding, M&A, patent/technology acquisition/monetization, leveraged buyout and stock
investment. Following illustrates some examples of IoT technologies, business sectors and companies for potential
investment opportunities that are obtained from patent information.
Energy Harvesting Device
Samsung Electronics is active in the development of energy harvesting IoT sensordevices. 20150115868
(ENERGY HARVEST AND STORAGESYSTEM AND MULTI-SENSOR MODULE: Samsung) illustrates the
multi-sensor module that includes energy harvesting device that converts thermal energy into electrical energy
using the thermoelectric materials. US20140152134 (ENERGY HARVESTING DEVICES; Samsung) illustrates
the energy harvesting device that converts magnetic energy into electrical energy using the piezo-electric materials.
US20150194911 (ENERGY HARVESTER; Samsung) illustrates the energy harvesting device that converts
electrostatic energy into electrical energy using the ferroelectric materials.
LED VLC

48
Since Light Emitting Diodes (LEDs) have widely used becauseof their high durability, longevity, portability, low
power consumption, absence of harmful substances suchas mercury, and so forth, the LED light emitting sources
are becoming ubiquitous everywhere. Thus, visible light communication (VLC) with LEDs as transmitters and
receivers for wireless communication can provide the IoT connectivity in many IoT applications. General Electric
in collaboration with Qualcomm is active in the development of LTE VLC technology and applications. For
example, thhe position of the mobile device can be determined from finding the transmitted positional information
in an indoor map of the structure. This map can be downloaded to the mobile device, or the mobile device can use
a local area network to access a database containing the indoor map. Exploiting the LED position systems the
shoppers in a shopping mall can receive indoor navigation guide maps, productinformation, and promotional
advertisements.
US20150223277 (USING VISIBLE LIGHT COMMUNICATION TO MANAGE WIRELESS
COMMUNICATIONS BETWEEN DEVICES; Qualcomm) illustrates the LED VLC for the smart home/building
IoT applications. The LED VLC is a type of wireless communication in which the intensity of a VLC signal may
be modulated to carry information. The LED VLC can be useful in that VLC can enable communication over
relatively long distances within a room or building, yet also confine communication to a room or building (e.g.,
because the LED VLC signals do not pass through opaque walls). The LED VLC can also be useful in that VLC
signals may be received using, for example, an image sensorof a device camera and/or an ambient light sensorof a

49
device, which sensors may be included on cellular devices (e.g., smartphones), computers (e.g., tablet computers),
and/or certain wearable devices (e.g., watches and/or electronic glasses).
US20150215744 (SYSTEM AND METHOD FOR INDOOR POSITIONING, NAVIGATION AND LOCATION
SPECIFIC SERVICES; GE) illustrates the LED VLC for the smart home/building positioning applications. The
indoor positioning system includes modulating the light output of LED lamps installed throughout the structure.
The LED light can be modulated at a fast rate that is imperceptible to the human eye. This modulation can be
detected by suitably configured cameras. The modulation can include positioning data of the LED lamp. A digital
camera on a handheld device in conjunction with an application can discern the modulated data. The modulation
requires the placement of a microchip controller at each LED lamp undergoing modulation. The microchip, in
conjunction with software, controls the fast rate modulation.
Emotion-AwareIoT
An individual's mental state is important to general well-being and effective decision making. Mental states include
a wide range of emotions and experiences from happiness to sadness, from contentedness to worry, from excitation
to calm, and many others. When an individual is aware of his or her mental well-being, he or she is better equipped
to realize his or her own abilities, copewith the normal stresses of life, work productively and fruitfully, and
contribute to his or her community. US20140200463 (MENTAL STATE WELL BEING MONITORING;
Affectiva) illustrates a practical possibility of implementation of emotion-aware IoT applications by determining

50
well-being status from an analysis of facial information and physiological information of an individual.
US20130054090 (EMOTION-BASED VEHICLE SERVICE SYSTEM, EMOTION COGNITION
PROCESSING APPARATUS, SAFE DRIVING SERVICE APPARATUS, AND EMOTION-BASED SAFE
DRIVING SERVICE METHOD; ETRI) illustrates a practical possibility of implementation of emotion-aware
connected car applications.
Augmented Reality
Augmented Reality can provide diverse IoT user interfaces and experiences. US20130346168 (Wearable
augmented reality eyeglass communication device including mobile phone and mobile computing via virtual touch
screen gesture control and neuron command; Dylan T X Zhou) illustrates a practical possibility of implementation
of the touch screen UI that is implemented in the air exploiting a head mounted wearable augmented reality
eyeglass communication device. The user may interact with the data and/or objects projected by the projector such
as the virtual touch screen. A camera may capture images or video of user bodyparts in relation to the projected
objects and recognize user commands provided via virtual controlcomponents. Alternatively, motions of user
fingers or hands may be detected by the sensors and interpreted by the processor.
US20130083061 (FRONT- AND REAR- SEAT AUGMENTED REALITY VEHICLE GAME SYSTEM TO
ENTERTAIN & EDUCATE PASSENGERS; GM) illustrates an augmented reality game for a vehicle. A real-time
video image during operation of a vehicle from a camera mounted on the vehicle merges with virtual images to

51
provide an augmented reality image. The augmented reality image is then transmitted to a display of a gaming
device during the operation of the vehicle.
SmartHomeRobots
iRobot is active in the development of smart home robots. US20150224640 (COMPANION ROBOT FOR
PERSONAL INTERACTION; iRobot)illustrates a smart home robotfor interacting with a resident in the
resident's home. The robotmay include a sensor capable of monitoring the resident when the robotis in the
resident's home and the resident is within range of the sensor, a controller connected to monitor surveillance data
from the sensor, a transmission controlroutine configured to enable a transmission of surveillance data from the
sensoroutside the resident's home if the resident grants permission for the transmission, and an override routine
configured to enable a transmission of surveillance data from the sensoroutside the resident's home (i) in an
emergency condition detected by the robotor (ii) after an authorized remote caregiver sends to the robotan
authorization previously permitted by the resident and an emergency condition indication. The robotmay also
carry on a dialogue with the resident, reinforce compliance with medication.
SmartHapticMedicalDevices
Smart haptic devices employing tactile feedback technology which recreates the sense of touch can be used for an
operator of a surgical instrument or diagnostics of a patient remotely. US20140336669 (Haptic gloves and surgical
robotsystems; Samsung) illustrates a haptic glove configured to transmit haptic feedback to an operator of a

52
surgical robotsystem. US9046926 (System and method of dynamically generating a frequency pattern to realize
the sense of touch in a computing device; IBM) illustrates a system for providing the sense that a doctorcan feel a
wound without being co-located with a patient. The system comprises an image processingmodule capable of
extracting a plurality of features from a visual representation of a physical object and a frequency generation
module capable of generating a variable frequency pattern correspondingto the extracted features, and sending the
variable frequency pattern to a computing device in which the computing device generates the tactile feedback in
responseto a stimulation applied by a user based on the variable frequency pattern.
SmartHealthMonitoring Devices
Health monitoring sensor devices including internet connected wearable devices can provide a real time monitoring
of person’s health status such as heart rate and blood pressure and enable remote healthcare services.
US20150120317 (ADAPTIVE INTERFACE FOR CONTINUOUS MONITORING DEVICES; DexCom)
illustrates a glucose sensing device that is capable of measuring the concentration of glucose. US20150213231
(METHOD, SERVER, AND USER DEVICE FOR PROVIDING USER'S PERSONAL MEDICINE
INFORMATION MANAGEMENT SERVICE BETWEEN THE SERVER AND THE USER DEVICE; Samsung)
illustrates a system to manage a person’s medication. US20100256460 (Wearable Monitoring System; GE)
illustrates a wearable monitoring system to collect and manage physiological information which is indicative of a
condition of a respiration function. This device can be used at home by a doctorremotely to monitor apnea (e.g.
sleep apnea that breathing is interrupted). US20140275824 (Multiple Sensors for Monitoring Health and Wellness

53
of an Animal; i4C Innovations) illustrates a wearable device for monitoring the health of an animal. The wearable
device may include several sensors, RFID tag, GPS receiver and wireless connectivity to send the sensed data.
Self-DrivingCars
US 20150158499 (VEHICLE MONITORING SYSTEM: Magna Electronics) illustrates an automated vehicle
monitoring system that includes a central processoroperableto receive vehicle inputs from multiple vehicles. The
vehicle inputs are indicative of driving conditions of the vehicles. The central processoris operable to receive, for
each vehicle of the multiple vehicles, an environment input indicative of the environment at that vehicle.
Responsive to the vehicle inputs and the environment inputs, the central processordetermines if one or more of the
multiple vehicles is at or approaching a hazardous condition. Responsive to a determination that one or more of the
multiple vehicles is a threatened vehicle at a potentially hazardous condition, the central monitoring system at least
one of (i) actuates an alert of the threatened vehicle to alert a driver of the threatened vehicle of the determined
hazardous condition and (ii) controls a vehicle system of the threatened vehicle to mitigate the determined
hazardous condition.
US20150149265(CONTROLLED PARKING OF AUTONOMOUS VEHICLES; GM) illustrates an autonomous
perpendicular parking system. US8457844 (Parallel parking assistant system and method thereof; Delphi
Technologies) illustrates an autonomous parallel parking system.

54
Connected CarSecurity
US20150020152 (SECURITY SYSTEM AND METHOD FOR PROTECTING A VEHICLE ELECTRONIC
SYSTEM; ARILOU INFORMATION SECURITY TECHNOLOGIES) illustrates a security system for protecting
a vehicle electronic system by selectively intervening in the communications path in order to prevent the arrival of
malicious messages at Electronic Control Units (ECUs). The security system includes a filter which prevents
illegal messages sent by any system or device communicating over a vehicle communications bus from reaching
their destination. The filter may, at its discretion according to preconfigured rules, send messages as is, block
messages, change the content of the messages, request authentication or limit the rate suchmessages can be
delivered, by buffering the messages and sending them only in preconfigured intervals.
US 20150150124 (Cloud-assisted threat defense for connected vehicles; Cisco)illustrates a system for cloud-
assisted threat defense for connected vehicles. A vehicle includes an on-board computer system for operating
and/or controlling various systems on the vehicle. The on-board computer system operates in connection with or
includes an on-board threat defense module or a cloud-based security componentfor detecting and protecting
against malware attacks and other security threats to the vehicle.
Connected CarSafety/Collision Avoidance
Hyundai is active in the development of connected care safety system. US 20150146605 (V2V SAFETY SYSTEM
USING CONSENSUS; Zetta Research and Development) illustrates a system for safety and anti-collision

55
exploiting the vehicle-to-vehicle (V2V) communication system. US20150149059 (AUTOMATIC SPEED
CONTROLLABLE VEHICLE AND METHOD FOR CONTROLLING SPEED THEREOF; Hyundai Mobis)
illustrates an automatic speed controllable vehicle exploiting vehicle-to-infrastructure (V2I) communication system.
US 20150054659 (COOPERATIVE VEHICLE COLLISION WARNING SYSTEM; Fujitsu) illustrates a
vehicular communication systems enable vehicles to wirelessly communicate with each other to exchange traffic
information and generate safety warnings depending on the traffic information exploiting V2X (V2V and V2I)
communication system.
Personalized Geo-fencing
Apple is the leader in the development of the personalized geo-fencing system. US20150072674 (Location-Based
Device Automation; Apple) illustrates a system for location-based device automation for some smart home
applications. Smart home IoT devices (e.g., lights and appliances) associated with a particular geographic location
(e.g., room, office, building) can be automated based on a geographic location of mobile devices. Automation of a
device can include activating or deactivating the device, or adjusting the settings of the device. Forexample, home
lighting can be configured to activate or deactivate depending on a day and time. Automation modes (e.g., a home
mode, an away mode, or a vacation mode) can be used to adjust automation settings for the devices. A particular
automation mode can be selected to automate (e.g., adjust the settings) the devices using the configured automation
settings for the particular automation mode. An automation setting can indicate a particular setting for the
particular device (e.g., a thermostat setting, a volume level, or a light dimming setting). Automation modes can be

56
personalized using the user profiles associated with the mobile device at the specific geographic location to provide
the personalized entertainment.
Big Data Analytics
IBM is active in the development of big data analytics for IoT applications. US20140297826 (SYSTEM AND
METHOD FOR BIG DATA AGGREGATIONIN SENSOR NETWORK; ETRI) illustrates a system for big data
aggregation in a sensornetwork. US20150134704 (Real Time Analysis of Big Data; IBM) illustrates a system for
processing large scale unstructured data in real time. The interconnected IoT sensing devices continuously generate
massive information at a very high speed. Thus a technology for effectively processinga huge amount of
information in the form of a data stream in real time is very important.
US20150179079 (MOBILE DEVICES AS NEURAL SENSORS FOR IMPROVED HEALTH OUTCOMES AND
EFFICACY OF CARE; New Technologies & Associates)illustrates a system and for real time monitoring a
patient's cognitive and motor responseto a stimulus. The big data analysis of massive data obtained by the IoT
healthcare/medical devices can provide many value-added healthcare services. The real time monitoring system
includes a mobile or tablet device, a user interface disposed onthe mobile device, sensors monitoring user
interaction with the mobile device and capturing kinesthetic and cognitive data. The real time monitoring system
also includes a processorcomparing the kinesthetic and cognitive data and comparing the data to a baseline, and

57
identifying relative improvement and impairment of cognition and motor skills from the comparisonexploiting big
data analytics that can be accessed locally over a WAN/LAN or in the cloud or across multiple clouds.
SmartHome& Connected CarConvergence
IoT business will have synergies by the convergence of many different technologies or business attributes.
Converged IoT business can create entirely new industries providing dramatically different values to the customers.
US20140167983 (INTEGRATION OF VEHICLE WITH HOME-CENTRIC SYSTEM; Zubie) illustrates an
integration of the smart home and connected car system. Smart home system includes home smart appliance
networks, home smart energy systems, smart lighting system and others. The smart home system can include
sensors or components that are physically located at different places throughout the home and are in
communication with a central "command center" that consolidates information from each of the sensor/components
whether a particular entry door, window, or garage dooris opened, or whether a motion sensorhas sensed any
motion, or whether a particular light or set of lights is off/on or a current temperature of the house.
US20140309790 (ADJUSTING HOME AUTOMATION COMFORT BASED ON VEHICLE ASSOCIATED
USER PROFILE DATA: Flextronics AP) illustrates a system to create an environment within the vehicle similar to
that of an individual's home. An individual who is more comfortable while traveling instills confidence and
pleasure in using a given vehicle, increasing an individual's preference for a given manufacturer and/or vehicle
type. One way to instill comfort in a vehicle is to create the integrating features in a vehicle that are associated with

58
comfort found in an individual's home by proving user’s profile data at home. The connected car system receives
user’s profile data from smart home system and determines context to change a configuration of a vehicle. The
configurations can include comfort and interface settings that can be adjusted based on the user profile information.
Further, the user profiles can track health data related to the user and make adjustments to the configuration to
assist the health of the user.

59
Internet of Things (IoT) Business & Technology & Patent Integrated Strategy
IoT Business Insights, Business Models, Samsung/Cisco/Apple/IBM/Qualcomm IoT Strategy, Innovation Strategy,
New Products/Services Development, Platforms, R&D Insights, Networks (5G), Applications (Smart Home,
Connected Car, Smart Healthcare, Smart Grids, Big Date, Fintech), IoT UI/UX, M2M Connectivity, New IoT
Products Development, Patent Development Strategy, IoT Startup Strategy, Implications of Patent Laws to IoT
Business
Link: http://www.slideshare.net/alexglee/internet-of-things-iot-intellectual-property-patent-information-center-3q-
2015
If you want the pdf copy, please send me (alexglee@techipm.com) your request with your name and affiliation.

Strategic Patent Monetization 4Q 2015

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