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`Exhibit 2016
`Exhibit 201 6
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`IPR2014-00199
`U.S. Patent 6,771,970
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`
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`By: Thomas Engellenner
`Pepper Hamilton LLP
`125 High Street
`19th Floor, High Street Tower
`Boston, MA 02110
`(617) 204-5100 (telephone)
`(617) 204-5150 (facsimile)
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`UNITED STATES PATENT AND TRADEMARK OFFICE
`___________________
`
`BEFORE THE PATENT TRIAL AND APPEAL BOARD
`___________________
`
`WAVEMARKET, INC. D/B/A LOCATION LABS
`Petitioner
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`v.
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`LOCATIONET SYSTEMS, LTD.
`Patent Owner
`___________________
`
`Case No. IPR2014-00199
`U.S. Patent 6,771,970
`___________________
`
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`DECLARATION OF DR. NARAYAN MANDAYAM IN SUPPORT OF
`LOCATIONET SYSTEMS, LTD.’S PATENT OWNER RESPONSE
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`IPR2014-00199
`U.S. Patent 6,771,970
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`I, Narayan Mandayam, do hereby declare:
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`1.
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`I am making this declaration at the request of Locationet Systems, Ltd. in the
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`matter of Inter Partes Review of U.S. Patent No. 6,771,970 (the ‘970 patent”)
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`to Dan Meir.
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`2.
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`In the preparation of this declaration, I have studied (1) the ‘970 patent (Ex.
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`1001), (2) file history of the ‘970 patent (Ex. 1012), (3) U.S. Patent No.
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`6,243,039 (“Elliot”; Ex. 1003), (4) Provisional Patent Application No.
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`60/157,643 (Ex. 1002), (5) Petition for Inter Partes Review (Paper 6), (6)
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`Declaration of Scott Hotes (Ex. 1013); and (7) Institution Decision (Paper 18).
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`3.
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`In forming the opinions expressed below, I have considered:
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`a. The documents listed above;
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`b. The relevant legal standards, including the standard for anticipation and
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`any additional authorities as cited in the body of this declaration; and
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`c. My knowledge and experience based upon my work in this area as
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`described below.
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`Qualifications and Professional Experience
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`4.
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`I received a bachelor degree (with Honors) in 1989 from the Indian Institute of
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`Technology, Kharagpur, and M.S. and Ph.D. degrees in 1991 and 1994 from
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`Rice University, Houston, TX, all in electrical engineering.
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`1
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`5.
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`I was a Research Associate at the Wireless Information Network Laboratory
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`(“WINLAB”), Department of Electrical & Computer Engineering, Rutgers
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`University, between 1994 and 1996. In September 1996, I joined the faculty of
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`Department of Electrical & Computer Engineering at Rutgers where I became
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`Associate Professor in 2001, Professor in 2003, and Distinguished Professor in
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`2014. I also served as the Peter D. Cherasia Endowed Faculty Scholar at
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`Rutgers University from 2010 to 2014. Currently, I also serve as Associate
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`Director at WINLAB where I conduct research in various aspects of wireless
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`systems and networks. I teach courses at Rutgers related to Wireless System
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`Design, Wireless Communication Technologies, Wireless Revolution, and
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`Detection and Estimation Theory. I was a visiting faculty fellow in the
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`Department of Electrical Engineering, Princeton University in Fall 2002 and a
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`visiting faculty at the Indian Institute of Science in Spring 2003.
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`6. My research focuses on wireless networks and communications, and I have
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`worked on various aspects of location tracking for wireless devices. Over the
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`last 25 years, I have published a wide range of articles on various aspects of
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`wireless systems including techniques for data transmission, resource allocation
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`strategies, mathematical modeling and performance analysis. Using constructs
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`from game theory, communications and networking, my work has focused on
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`system modeling and performance, signal processing as well as radio resource
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`management for enabling wireless technologies to support various applications.
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`7.
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`I have also coauthored papers on location tracking systems, including one of the
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`early and well-cited papers titled “Decision Theoretic Framework for NLOS
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`Identification” published in the IEEE Vehicular Technology Conference
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`(“VTC”) in 1998. This paper addresses the problem of identifying whether a
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`received radio signal at a base station is due to a line-of-sight (“LOS”)
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`transmission or not (“NLOS”). Such identification is a first step towards
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`estimating the mobile station’s location and the work in this paper laid the
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`foundation for a decision theoretic framework where hypotheses tests of the
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`range measurements are used for NLOS determination.
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`8.
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`I have also worked on sensor assisted localization of mobile devices with a
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`view to satisfying the E-911 requirements stipulated by the U.S. Federal
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`Communications Commission. Specifically, as published in my paper titled
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`“Sensor-Assisted Localization in Cellular Systems” published in the IEEE
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`Transactions on Wireless Communications in 2007, I developed received signal
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`strength based localization algorithms that use inter-sensor aided measurements
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`to estimate the location of the mobile while meeting the E-911 requirements in
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`a wide range of radio transmission environments. Aside from researching
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`mobile location tracking algorithms in cellular networks, I also have
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`considerable experience in the area of tracking of mobile devices using WiFi-
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`based infrastructure. Specifically, I have served as a technical consultant to the
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`company AirTight Networks Inc., a world leader in enterprise network security
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`that offers the next generation of intelligent edge, secure, and flexible WLAN
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`solutions.
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`9.
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`I have received various awards relating to my research on wireless networks
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`and communications, including the 2014 IEEE Donald G. Fink Award for my
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`paper titled “Frontiers of Wireless and Mobile Communications,” the Fred W.
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`Ellersick Prize from the IEEE Communications Society in 2009 for my work on
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`dynamic spectrum access models and spectrum policy, the Peter D. Cherasia
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`Faculty Scholar Award from Rutgers University in 2010, the National Science
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`Foundation Career Award in 1998, and the Institute Silver Medal from the
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`Indian Institute of Technology, Kharagpur in 1989.
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`10.
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`I am a coauthor of the books “Principles of Cognitive Radio,” Cambridge
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`(2012) and “Wireless Networks: Multiuser Detection in Cross-Layer Design,”
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`Springer (2005). I have published over 200 research articles in internationals
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`journals, conferences and workshops. I have also given numerous invited
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`presentations at a variety of industry, government and academic forums.
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`11.
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`I have served as an Editor for the journals IEEE Communication Letters (1999-
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`2002) and IEEE Transactions on Wireless Communications (2002-2004). I
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`have also served as a guest editor of the IEEE JSAC Special Issues on
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`Adaptive, Spectrum Agile and Cognitive Radio Networks (2007) and Game
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`Theory in Communication Systems (2008). I was elected Fellow of the IEEE
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`for “contributions to wireless data transmission.” I am currently serving as a
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`Distinguished Lecturer of the IEEE Communications Society. My curriculum
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`vitae is attached to this declaration.
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`12.
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`In the field of the invention claimed in the ‘970 patent, a person of ordinary
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`skill in the art has a bachelor of science degree in computer science, electrical
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`engineering or a comparable degree and at least two years of experience and
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`knowledge in wide area digital communications systems such as cellular,
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`including system level issues related to active mobile location tracking.
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`13.
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`I am familiar with the knowledge and capabilities of one of ordinary skill in the
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`field of the ‘970 patent in 1999, the time of the filing of the provisional patent
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`application leading to the ’970 patent, based on my experience (1) in the
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`industry, (2) with undergraduate and post-graduate students, (3) with colleagues
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`from academia, and (4) with my role as faculty of Department of Electrical &
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`Computer Engineering at Rutgers. Unless otherwise stated, my statements
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`made herein refer to the knowledge of one of ordinary skill in the field of the
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`invention claimed in the ‘970 patent.
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`Relevant Legal Standard
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`14.
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`I have been asked to compare the disclosure of Elliot to claim 18 of the ‘970
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`patent, and to determine whether or not Elliot discloses the limitations of the
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`claim 18 to a person of ordinary skill in the art. It is my understanding that to
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`anticipate a claim under 35 U.S.C. § 102, a reference must disclose each and
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`every element of the claim.
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`Claim Construction
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`15.
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`It is my understanding that in the inter partes review proceedings, the claim
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`terms of a patent are given their broadest reasonable interpretation consistent
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`with the specification and file history of the ‘970 patent, as understood by one
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`of ordinary skill in the art. Consistent with that understanding, it is my opinion
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`that no explicit constructions for claim terms or phrases are necessary beyond
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`their ordinary and customary meanings.
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`The ‘970 Patent
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`16. The ‘970 patent is directed to a system and method for location tracking of
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`mobile platforms. Ex. 1001, Abstract; col. 2, ll. 2-28; col. 3, ll. 4-24. The
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`system architecture of the location tracking system described in the ‘970 patent
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`requires a number of system elements associated with one another to achieve
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`the specific operation and functionality disclosed therein. FIG. 1 illustrates an
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`exemplary schematic diagram of a system for tracking the locations of mobile
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`platforms described by the ‘970 patent:
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`More specifically, FIG. 1 is a diagram that shows location tracking systems 11,
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`12, 13 and 14 for tracking the locations of various mobile platforms, such as a
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`mobile telephone 21, a car 22, a laptop computer 23, and a briefcase 24. Id. at
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`col. 3, l. 44-col. 4, l. 5. The location tracking systems 11-14 communicate with
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`a communication subsystem 3 of a location determination system 1. Id. at col.
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`4, ll. 6-11. The location determination system 1 is linked to a map server 4
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`operating a map engine for accessing a map database 5. Id. at col. 4, ll. 15-17;
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`FIG. 3.
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`17. A subscriber to the location determination system 1 equipped with a computer
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`60 running an Internet browser can request the location of a specific mobile
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`platform by selecting the mobile platform on the website 50. Id. at col. 4, ll. 29-
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`39. The request is passed from the website 50 to the location determination
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`system 1, which accesses a database 2 to determine the appropriate location
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`tracking system 11-14 for locating the subscriber-selected mobile platform. Id.
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`at col. 4, ll. 39-42. The communication subsystem 3 then formats the request
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`and transmits it to the respective location tracking system 11-14 via the Internet
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`30. Id. at col. 4, ll. 46-48.
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`18. The respective location tracking system 11-14 receives the request, determines
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`the location of the subscriber-selected mobile platform, and transmits the
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`location information back to the communication subsystem 3. Id. at col. 4, ll.
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`48-52. The communication subsystem 3 associates the location information
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`with the request and passes it to the location determination system 1. Id. at col.
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`4, ll. 52-55. The location determination system 1 then passes the location of the
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`subscriber-selected mobile platform to the map server 4. Id. at col. 4, ll. 55-56.
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`19. The map server 4 incorporates data related to the determined location on the
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`output map. Id. at col. 5:13-18. The map server 4 obtains a map of the area in
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`which the subscriber-selected mobile platform is located from the map database
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`using the map engine, marks the position of the mobile platform on the map and
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`passes it to the location determination system 1. Id. at col. 4, ll. 56-59; see also
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`col. 2, ll. 28-35. The map, including subscriber selected or all related map and
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`location data, showing the location of the mobile platform is then passed to the
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`subscriber’s computer 60. Id. at col. 4, ll. 60-61, col. 5, ll. 45-50.
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`20. Claim 18 requires, among other things, that “each one of said mobile platform
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`location systems being associated with a map database and map engine for
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`manipulating said map database.” (emphasis added.) Claim 18 reads:
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`18. A system for location tracking of mobile platforms,
`each of which is equipped each with a tracking unit, each
`being adapted to determine the location of a respective
`mobile platform according to a property that is
`predetermined for each mobile platform; the system
`comprising:
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`(a) a location server communicating through a user interface
`with at least one subscriber equipped with a browser; said
`communication having inputs that include at least the
`subscriber identity, the mobile platform identity and map
`information;
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`(b) at least one mobile platform location system coupled to
`said location server for receiving the mobile platform
`identity and map information that pertain to mobile
`platforms associated with the respective mobile platform
`location system; each one of said mobile platform location
`systems being associated with a map database and map
`engine for manipulating said map database;
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`(c) at least one remote tracking service communicating with
`said respective mobile platform location system for
`receiving mobile platform identity and returning mobile
`platform location information;
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`the at least one mobile platform location system being
`adapted to receive said mobile platform location information
`and access said map database for correlating map to said
`location information, so as to obtain correlated location
`information;
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`said location server being adapted to receive the correlated
`location information and forward them to said browser.
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`(emphasis added.)
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`21. As described in the ‘970 patent, the map database 5 stores “maps formatted as
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`at least one of the following: Raster Map in various scales, vector maps and air
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`photo.” Id. at col. 2, ll. 46-48; see also id. at col. 4, ll. 20-22; col. 5, ll. 3-5.
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`The map server 4 operates the map engine for, among other functions,
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`accessing the map database and obtaining a map from the map database. Id. at
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`col. 4, ll. 16-17 (“a map server (4) operating a map engine for accessing a map
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`database”); col. 4, ll. 55-58 (“[t]he location determination system (1) passes the
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`location of the vehicle (22) to the map server (4) which obtains a map of the
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`area in which the vehicle (22) is located using the map engine . . .”). In
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`addition, the map server 4 functions to obtain data from the databases on a
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`mobile platform location determined by the location determination system 1
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`and incorporate such data in the output map from the map database via the map
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`engine. Id. at col. 5, ll. 13-18 (“. . . all data on the location determined by the
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`location determination system (1) that is available from the databases is
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`obtained from the location data server (120) by the map server (4) and
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`incorporated in the output map.”).
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`22. Moreover, the map server 4 is capable of correlating between maps stored in the
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`map database 5 and the positioning information received from the respective
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`location tracking system 11-14. Id. at col. 4, ll. 17-22. The map server 4 may
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`support various types of maps, such as Raster maps in various scales, vector
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`maps and air photographs. More specifically, the map server 4 can obtain a
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`map in which the mobile platform is located from the map database, and mark
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`the position of the mobile platform on the map. Id. at col. 4, ll. 56-59; see also
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`col. 2, ll. 28-35.
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`23. Furthermore, each mobile platform location system is associated with a map
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`database 5 and map engine. See, e.g., Ex. 1001, FIGS. 1 and 3 (showing that
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`the location determination system 1 is associated with the map database 5); col.
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`2, ll. 28-31 (“[t]he location determination system may communicate with a
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`mapping system having at least one map database . . .”).
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`Elliot
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`24. Elliot describes a wireless communication system which tracks the current and
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`historical locations of a device worn or carried by a person, and provides access
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`to the data referencing these locations. Ex. 1003, col. 2, ll. 29-35.
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`25. More specifically, to track the locations of a device 12 worn or carried by a
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`person, the device 12 in Elliot is required to send a data signal to a central
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`receiver-transmitter 16. Id. at col. 5, ll. 13-31. The data signal transmitted by
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`the device 12 generally includes the current GPS coordinates, current time,
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`device identification code of the transmitting device, and an activation
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`indicator. Id. at col. 5, ll. 32-39. The centralized control system 20 that
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`receives the data signal from the device 12 via a central receiver-transmitter 16
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`can then determine and track the location of the device 12. Id. at col. 5, ll. 41-
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`43; col. 2, ll. 55-59. Elliot discloses a web server 34 with its associated files
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`providing graphical maps showing the current and historical locations of the
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`device 12. Id. at col. 3, ll. 2-4. An “X” mark for pointing to the location of the
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`device 12 may be superimposed on the map image. Id. at col. 9, ll. 28-30.
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`26. Elliot does not anticipate independent claim 18 because Elliot fails to disclose
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`“each one of said mobile platform location systems being associated with a map
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`database and map engine for manipulating said map database” as recited in
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`claim 18. In particular, the disclosure in Elliot is missing key elements of
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`claim 18, namely: (1) a “map database”; (2) a “map engine” for manipulating
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`the map database; and (3) each one of the mobile platform location systems
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`being associated with a corresponding map database and map engine.
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`Elliot does not disclose the claimed “map database”
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`27. Petitioner generally points to: (1) “[a] web server with its associated files
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`provides graphical maps capable of showing the current and historical locations
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`of the device” (Paper 6 at 31; Paper 18 at 16 (quoting Ex. 1003, col. 3, ll. 2-4))
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`and (2) “[m]any commercial software programs are available for producing and
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`manipulating graphics and images including road map graphics images” (Paper
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`6 at 31-32; Paper 18 at 16 (quoting Ex. 1003, col. 9, ll. 17-27)). In other words,
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`Petitioner argues that a general description of a web server that provides
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`graphical maps and commercial software programs for producing and
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`manipulating graphics images somehow disclose the claimed “map database”.
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`Neither of these general passages from Elliot describe the “map database” of
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`claim 18.
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`28. The “web server” that provides graphical maps in Elliot does not and cannot
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`describe a “map database”. See Paper 6 at 31; Paper 18 at 16 (quoting Ex.
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`1003, col. 3, ll. 2-4). The terms “map” and “database” are commonly used
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`terms. For instance, the ordinary and customary meaning of the term map
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`“database” as understood by a person of ordinary skill in the art as well as a
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`layperson is a collection of map data that is organized so that it can easily be
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`accessed, searched, managed, and updated. See Dictionary of Computer Words,
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`Houghton Mifflin Company (1998), Ex. 2017 at 61 (database: “An organized
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`collection of information that can be searched, retrieved, changed, and sorted
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`using a collection of programs known as a database management system.”);
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`Personal Computer Dictionary, Random House (2nd Ed. 1996), Ex. 2018 at 126
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`(database: “A collection of information organized in such a way that a computer
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`program can quickly select desired pieces of data.”). The specification of the
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`‘970 patent is consistent with this ordinary and customary meaning of map
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`“database”. See, e.g., Ex. 1001 at col. 4, ll. 15-22 (“correlating between maps
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`stored in the database (5) and positioning information”); col. 5, ll. 45-50 (“street
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`names derived from map databases”); col. 2, ll. 46-48 (“[t]he map database may
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`include maps formatted as at least one of the following . . .”). Thus, the “web
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`server” in Elliot fails to describe any data organization, management, or
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`functionality required for a database. As such, the description of a “web server”
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`in Elliot does not describe the claimed “map database” based on the ordinary
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`and customary meaning of a “database”.
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`29.
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`In addition, the “web server” that “provides” graphical maps in Elliot does not
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`describe where such graphical maps come from—let alone that the graphical
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`maps come from a “map database,” as required by claim 18. The graphical
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`maps, for example, could be downloaded by the “web server” from a different
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`location, e.g., from a web page on the Internet. There is simply no disclosure of
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`the source of the graphical maps “provided” by the “web server” described in
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`Elliot. Nor does the “web server” in Elliot disclose that it “provides” anything
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`other than graphical maps, including map data or information pertaining to the
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`graphical maps such as street names. Ex. 1001, col. 5, ll. 45-50 (“. . . supply
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`locations as coordinates, street names derived from map databases or other
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`location data . . .”) (emphasis added).
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`30. Petitioner’s reliance on the statement that “[m]any commercial software
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`programs are available for producing and manipulating graphics and images
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`including road map graphics images” further confirms that the location system
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`in Elliot does not disclose a “map database.” See Paper 18 at 16. If the road
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`map graphics images are “produced” using software programs, the map
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`information necessarily is not contained or stored within a database, as required
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`by claim 18. See ‘970 patent at col. 4, ll. 15-20 (“The location determination
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`system (1) is also linked to a map server (4) operating a map engine for
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`accessing a map database (5). The map server (4) is capable of correlating
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`between maps stored in the database (5) and positioning information received
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`from the respective location tracking system (11-14)”) (emphasis added).
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`Elliot does not disclose the claimed “map engine”
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`31. Petitioner generally relies on two passages: (1) “[m]any commercial software
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`programs are available for producing and manipulating graphics and images
`
`including road map graphics images” (Paper 6 at 31-32; Paper 18 at 16 (quoting
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`Ex. 1003, col. 9, ll. 17-27)) and (2) “[t]he ‘X’ mark for pointing to the current
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`location of the child (i.e., the device) may be superimposed in the map image.”
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`(Paper 6 at 32; Paper 18 at 16 (quoting Ex. 1003, col. 9, ll. 28–30)). Thus,
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`Petitioner contends that a suggestion of commercially available software
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`programs for producing and manipulating graphics images and a description of
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`superimposing a mark on a map image somehow disclose the claimed “map
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`engine”. Neither of these general passages from Elliot describe the “map
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`engine” of claim 18.
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`32. The term “engine” is a commonly used term in conjunction with databases. For
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`instance, the ordinary and customary meaning of the term map database
`
`“engine” as understood by a person of ordinary skill in the art and a layperson is
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`a program or module for accessing, searching, managing, and updating the map
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`database. See Webster’s New World Dictionary of Computer Terms,
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`Macmillan, (5th ed. 1994), Ex. 2019 at 208 (engine: “The portion of the
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`program that determines how the program manages and manipulates data.
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`Another name for processor.”). Indeed, the specification of the ‘970 patent and
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`the express language of claim 18 is consistent with this ordinary and customary
`
`meaning of map database “engine”. See Ex. 1001 at col. 4, ll. 16-17 (“a map
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`server (4) operating a map engine for accessing a map database”); col. 4, ll. 55-
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`58 (“[t]he location determination system (1) passes the location of the vehicle
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`(22) to the map server (4) which obtains a map of the area in which the vehicle
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`(22) is located using the map engine . . .”); claim 18 (“a map engine for
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`manipulating said map database”).
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`33. The description in Elliot suggesting commercially available software programs
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`for producing and manipulating graphics images is inapposite to and does not
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`disclose the claimed “map engine”. See Paper 18 at 16. There is simply no
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`disclosure of the functions of a map database engine, such as accessing,
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`searching, managing, and updating the map database. Moreover, as discussed
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`above, Elliot does not disclose a “map database”; therefore, it necessarily also
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`does not disclose a “map engine for manipulating said map database,” as
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`required by claim 18.
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`34. Likewise, while Elliot describes modifying a map image by superimposing a
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`mark on the map image, it fails to disclose a map engine that functions to
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`manipulate the “map database” as claimed. Merely superimposing or
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`overlaying a “X” mark on a map image does not teach a person of ordinary skill
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`in the art to use a program or module to access, search, manage, or update a
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`map database. Thus, none of the descriptions in Elliot relied upon by Petitioner
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`disclose the claimed “map engine”.
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`Elliot does not disclose “each one of said mobile platform location systems
`being associated with a map database and map engine”
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`35. The system architecture of the ‘970 patent requires that each mobile platform
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`location system be associated with a “map database” and a “map engine”. See
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`Ex. 1001, FIGS. 1 and 3 (showing that the location determination system 1 is
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`associated with the map database 5). For example, the “map database” and
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`“map engine” recited in claim 18 allow a system subscriber to customize a map
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`by selecting which data to be incorporated on the map or the level of detail
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`displayed on the map, such as street names, etc. Ex. 1003, col. 5, ll. 13-18 (“As
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`an automatic procedure, or upon request of a subscriber, selected or all data on
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`the location determined by the location determination system (1) that is
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`available from the databases is obtained from the location data sever (120) by
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`the map server (4) and incorporated in the output map.”); id. at col. 5, ll. 45-50
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`(discussing street names derived from map databases).
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`36. The ‘970 patent’s specific system architecture, including the associated “map
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`database” and “map engine,” also enables dynamic functions such as supplying
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`navigation information, managing movement of resources, such as for route
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`planning between multiple destinations, billing and/or advertising and
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`emergency service management. See Ex. 1001, col. 5, ll. 37-42, FIG. 3. Such
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`dynamic functionality is achieved in the ‘970 patent using the mobile platform
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`location systems associated with a corresponding “map database” and “map
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`engine,” as required by claim 18. In contrast, as discussed above, the “web
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`server 34” in Elliot fails to describe any associated “map database” or “map
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`engine”. See Paper 18 at 16; Ex. 1003, FIG. 3. Elliot simply teaches
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`superimposing an “X” mark to depict the location of the tracked device on a
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`static map image; therefore, Elliot fails to disclose each and every element as
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`set forth in claim 18.
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`37.
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`I declare under penalty of perjury that the foregoing is true and correct to the
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`best of my knowledge and belief, and further that these statements were made
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`with the knowledge that willful false statements are punishable by fine or
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`imprisonment, or both, under Section 1001 of Title 18 of the United States
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`Code.
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`By: _______
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`_________
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`Dr. Narayan Mandayam
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`Dated: August 10, 2014
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`NARAYAN B. MANDAYAM
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`HOME
`5 Penny Ct.
`East Brunswick, NJ 08816
`Email: narayan@winlab.rutgers.edu
`WeB: www.winlab.rutgers.edu/˜ narayan
`
`OFFICE
`WINLAB, Rutgers University
`671 Rt. 1 South
`North Brunswick, NJ 08902
`Phone: (848)-932-0947
`
`EDUCATION:
`Ph. D in Electrical Engineering, May 1994
`Rice University, Houston, Texas
`M.S. in Electrical Engineering, May 1991
`Rice University, Houston, Texas
`B. Tech (Hons.) in Electrical Engineering, May 1989
`Indian Institute of Technology, Kharagpur, India
`
`EXPERIENCE:
`Dept. of ECE, Rutgers University, Piscataway, New Jersey
`Distinguished Professor, July 2014 - present
`Peter D. Cherasia Endowed Faculty Scholar, June 2010 - June 2014
`Professor, July 2003 - June 2014
`Associate Professor, July 2001 - June 2003
`Assistant Professor, July 1996 - June 2001
`
`WINLAB, Dept. of ECE, Rutgers University, Piscataway, New Jersey
`Interim Director, January 2001 - July 2001
`Associate Director, December 1999 - present
`Research Associate, Sep. 1994 - June 1996
`
`Princeton University, Princeton, New Jersey
`Faculty Fellow in Dept. of EE, Sep. 2002 - Dec. 2002
`
`Indian Institute of Science, Bangalore, India
`Visiting Faculty in Dept. of ECE, Jan. 2003 - Jun. 2003
`
`AWARDS AND HONORS:
`• Donald G. Fink Award from the IEEE (2014)
`• National Academies Keck Futures Initiative (NAKFI) Grant Award, May, 2013
`• Invitee to National Academies Keck Futures Initiative (NAKFI) Informed Brain in a Digital
`World, 2012 (one of 100 invitees in the U.S. selected by the National Academy of Engineer-
`ing (NAE), National Academy of Sciences (NAS), and Institute of Medicine (IOM))
`• Distinguished Lecturer of the IEEE (2012-15)
`• Peter D. Cherasia Faculty Scholar Award (2010)
`• Technical Program Co-Chair, WiOPT 2011
`• Briefer to JASON (an elite advisory group to the U.S. government) study on Cognitive Radio
`Networks (2010)
`• Fred W. Ellersick Prize from the IEEE Communications Society (2009)
`• Fellow, IEEE for contributions to “wireless data transmission” (2009)
`• Guest Editor, IEEE JSAC - Game Theory in Communications and Networking (2008)
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`1
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`• Guest Editor, IEEE JSAC - Spectrum Agile Cognitive Radio Networks (2007)
`• Editor, IEEE Transactions on Wireless Communications, 2002-2005
`• Outstanding Engineering Faculty Recognition, Rutgers University, 2000
`• Associate Editor, IEEE Communications Letters, December 1999-2003
`• Invitee to Annual Symposium on Frontiers of Engineering, National Academy of Engineering
`(NAE), 1999 (one of hundred engineers in the U.S. selected by the NAE)
`• National Science Foundation (NSF) CAREER Award, 1998
`• Outstanding Branch Counselor and Advisor Award Nominee, IEEE, 1998-99
`• William Marsh Rice Fellowship, Rice University, 1989-1990
`• Institute Silver Medal, Indian Institute of Technology (I.I.T.), Kharagpur, 1989 (Awarded to the
`graduating student with the highest G.P.A. in Electrical Engineering)
`• National Talent Search Scholarship (1983-1989). Awarded by the National Council of Educa-
`tional Research and Training, New Delhi, India
`
`CURRENT RESEARCH INTERESTS:
`• Prospect Theory in the Design of Wireless Networks
`• Cognitive Radios for Open Access to Spectrum
`• Radio Resource Management for Wireless Networks using Microeconomic Theories
`• Cooperation and Coexistence in Shared Spectrum
`• Network Coding as a Dynamical System
`• Green Techniques for Wireless
`• Physical-layer based methods for Wireless Security
`• Modeling of Social Knowledge Creation
`
`GRANTS:
`
`1. “ From Informed Human Brains to Society-Scale Silicon Brains: Uncovering the DNA of So-
`cial Knowledge” NAKFI Grant Award ($ 50,000), May 2013, PI: Oded Nov, co-PI: Narayan
`Mandayam, Ofer Arazy
`2. “NeTS: Visual MIMO Networks” National Science Foundation (NSF) Grant No. CNS-1065463
`($ 685,000), April 2011; - PI: Marco Gruteser, co-PI: Narayan Mandayam, Kristin Dana
`3. “Bandwidth Exchange: A Framework for Enhancing the Performance of Cognitive Radio
`Networks” Office of Naval Research (ONR) ($ 300,000), Awarded to start in February 2011;
`- PI: Narayan Mandayam
`4. “DEDI: A New Framework for the Practice of Wireless Network Coding” National Science
`Foundation (NSF) CIF Grant ($ 427,000 ), September 2010; - PI: Narayan Mandayam
`5. “MIAMI: Mobile Infrastructures for Advancing Military Information Technologies” US Army-
`TACOM-ARDEC ($ 659,401), September 2009; - PI: Wade Trappe, co-PI: Narayan Man-
`dayam, D. Raychaudhuri, I. Seskar
`6. “RF Equipment Upgrades to Enable Scalable Crosslayer Protocol Experimentation on the
`ORBIT Radio Grid Testbed” Army Research Office ($ 65,000), September 2008; - PI: Wade
`Trappe, co-PI: Narayan Mandayam
`7. “NeTS-WN: A Joule for your Byte: Barter-Exchange Incentive Mechani