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Markus Scherer Phones & Addresses

  • 3831 Thrush Way, Santa Clara, CA 95051 (408) 247-1471
  • 4954 Rue Bordeaux, San Jose, CA 95136
  • 999 Hamilton Ave, Campbell, CA 95008
  • Durham, NC
  • Cary, NC
  • 3831 Thrush Way, Santa Clara, CA 95051

Professional Records

Medicine Doctors

Markus Scherer Photo 1

Markus D. Scherer

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Specialties:
Internal Medicine, Cardiovascular Disease
Work:
Sanger Heart & Vascular Institute
10650 Park Rd STE 220, Charlotte, NC 28210
(704) 667-3840 (phone), (704) 667-3899 (fax)
Education:
Medical School
University of Wisconsin Medical School
Graduated: 1994
Procedures:
Echocardiogram
Cardiac Catheterization
Cardiac Stress Test
Cardioversion
Electrocardiogram (EKG or ECG)
Conditions:
Angina Pectoris
Cardiomyopathy
Ischemic Heart Disease
Mitral Valvular Disease
Acute Myocardial Infarction (AMI)
Languages:
English
Description:
Dr. Scherer graduated from the University of Wisconsin Medical School in 1994. He works in Charlotte, NC and specializes in Internal Medicine and Cardiovascular Disease. Dr. Scherer is affiliated with Carolinas Medical Center.

Resumes

Resumes

Markus Scherer Photo 2

Treasurer

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Location:
Santa Clara, CA
Industry:
Computer Software
Work:
South Bay Deutscher Schulverein
Treasurer

Unicoders 1999 - 2009
Contributor

Google 1999 - 2009
Software Internationalization Engineer

Ibm Jan 2004 - Mar 2006
Icu Development Manager

Unicode Consortium Jan 2004 - Mar 2006
Member of Editorial Committee
Education:
University of Kaiserslautern 1989 - 1995
Skills:
Software Development
Unicode
Internationalization
Globalization
Software Engineering
Localization
C++
Java
Python
Software Design
Algorithms
Agile Methodologies
Android
I18N
Mobile Devices
C
Languages:
German
Markus Scherer Photo 3

Markus Scherer

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Publications

Us Patents

Binary-Ordered Compression For Unicode

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US Patent:
20030212696, Nov 13, 2003
Filed:
May 13, 2002
Appl. No.:
10/144384
Inventors:
Mark Davis - Menlo Park CA, US
Markus Scherer - San Jose CA, US
Assignee:
International Business Machines Corporation
International Classification:
G06F017/00
G06F007/00
US Classification:
707/101000
Abstract:
A system and method for encoding an input sequence of code points to produce an output sequence of bytes that is compressed, but has the same relative binary order as the original sequence. This system and method includes the following steps: (1) receiving the input sequence of code points, wherein each character is represented by a numeric value; (2) calculating a signed delta value for each code point in the input sequence, wherein each delta value is determined by subtracting the value of a base code point from the value of the current code point; (3) encoding each delta value into a series of bytes wherein small deltas are encoded in a small number of bytes and larger delta values are encoded in successively larger numbers of bytes; (4) selecting a lead byte for the output sequence, the lead byte being represented by a value, chosen so that the binary order of the output sequence is the same as the binary order of the input sequence; (5) writing the lead byte into the output sequence; and (6) writing to the output sequence each delta value for each trailing code point in the input sequence.

Language Preference Selection For A User Interface Using Non-Language Elements

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US Patent:
20150186357, Jul 2, 2015
Filed:
Dec 31, 2013
Appl. No.:
14/144620
Inventors:
- Mountain View CA, US
Mark Edward Davis - Zurich, CH
Chinglan Ho - Palo Alto CA, US
Cibu Chalissery Johny - Santa Clara CA, US
Markus Scherer - Santa Clara CA, US
Jungshik Shin - Sunnyvale CA, US
Erik Menno van der Poel - Berkeley CA, US
Neha Chachra - San Diego CA, US
Assignee:
Google Inc. - Mountain View CA
International Classification:
G06F 17/28
Abstract:
Described is a technique for establishing an interaction language for a user interface without having to communicate with the user in a default language, which the user may or may not understand. The technique may prompt the user for multiples responses in order to determine a specific language. The responses may include speech input or selecting particular regions on a map. In some implementations, the language may be precise to a particular dialect or variant preferred or spoken by the user. Accordingly, this approach provides an accurate and efficient method of providing a high degree of specificity for language selection without overwhelming the user with an unmanageable list of languages.
Markus W Scherer from Santa Clara, CA, age ~55 Get Report