Sep 2013 to 2000 Business Education Teacher - Hanover Park High SchoolOne Legacy Financial Group LLC
Jul 2012 to 2000 Financial Consultant - Provide InvestmentFort Lee High School Fort Lee, NJ Sep 2011 to Aug 2013 Business Education Teacher - Academy of Finance (AOF)Fort Lee High School
2012 to 2013 Internship DirectorFort Lee High School
2011 to 2013 Advisory Board MemberFuture Business Leaders of America
2011 to 2012 AdvisorAXA Advisors, LLC Morristown, NJ Apr 2008 to Apr 2011 Financial ConsultantCertified LTC Advisors, LLC Whitehouse Station, NJ Dec 2007 to Apr 2008 Managing Member - Created LLCMeridian Capital Group Iselin, NJ Oct 2006 to Dec 2007 Commercial Mortgage BrokerPNC Investments Flemington, NJ Nov 2005 to Jul 2006 Senior Financial ConsultantFimat USA, LLC New York, NY Aug 2004 to Oct 2005 Vice President - Repo and Money Markets/Derivative Products GroupAG Edwards Morristown, NJ Mar 2002 to Aug 2004 Financial Consultant / Financial AdvisorAubrey G. Lanston & Co New York, NY Jun 1998 to Mar 2000 Vice President - Repo SalesUBS Securities, LLC New York, NY Mar 1997 to Mar 1998 Vice President - Repo & Money Market SalesNomura Securities International, Inc New York, NY Apr 1986 to Jan 1997 Assistant Vice President - Short Term Fixed Income SalesFederal Reserve Bank of New York
Jun 1984 to Apr 1986 Open Market Operations - Securities TraderFederal Reserve Bank of New York New York, NY Nov 1982 to Apr 1986Federal Reserve Bank of New York
Nov 1982 to Jun 1984 Assistant Examiner
Education:
Rutgers University Newark, NJ May 1988 M.B.A. in Business AdministrationSeton Hall University South Orange, NJ May 1982 B.S. in Finance
Aug 2012 to Present Post-Production InternKovsky Media Research Hawthorne, NY Oct 2010 to Jul 2012 Content AnalystE.N.T. & Allergy Assoc Carmel, NY Jan 2008 to Oct 2010 Office Assistant
Education:
SUNY New Paltz New Paltz, NY May 2008 English Language and Literature
Skills:
High proficiency in Final Cut Pro Studio, Avid Media Composer 6, Adobe CS6 including Photoshop, Illustrator and After Effects Working knowledge of Studio applications including Motion, Color, DVD Pro Studio, Soundtrack Pro and Compressor Ability to log, capture, digitize and organize media Full understanding of color theory, manipulation and correction Experienced working alongside Senior Editors and Colorists at leading NYC post-production facility Fluent in both PC and Mac OS platforms (i.e. Word, Excel, Google Docs) Impeccable written and verbal communication skills
Daniel Lin - Montville NJ Brian M. McCarthy - Lafayette Hill PA
Assignee:
InterDigital Technology Corporation - Wilmington DE
International Classification:
G10L 1900
US Classification:
704223, 704201, 704219
Abstract:
A version of a speech signal and an output of a pitch synthesis filter and a linear predictive all-pole (LPC) filter is received. A system impulse response is produced based on in part the received pitch synthesis filter and LPC output. An excitation pulse location is determined so that the determined location minimizes an error between the speech signal version and the system impulse response. The speech signal is encoded with a representation of the determined location.
Determining Linear Predictive Coding Filter Parameters For Encoding A Voice Signal
Daniel Lin - Montville NJ Brian M. McCarthy - Lafayette Hill PA
Assignee:
InterDigital Technology Corporation - Wilmington DE
International Classification:
G10L 1910
US Classification:
704219
Abstract:
Linear predictive coding (LPC) filter parameters are determined for use in encoding a voice signal. Samples of a speech signal using a z-transform function are pre-emphasized. The pre-emphasized samples are analyzed to produce LPC reflection coefficients. The LPC reflection coefficients are quantized by a voiced quantizer and by an unvoiced quantizer producing sets of quantized reflection coefficients. Each set is converted into respective spectral coefficients. The set which produces a smaller lag-spectral distance is determined. The determined set is selected to encode the voice signal.
Determining Linear Predictive Coding Filter Parameters For Encoding A Voice Signal
Daniel Lin - Montville NJ Brian M. McCarthy - Lafayette Hill PA
Assignee:
InterDigital Technology Corporation - Wilmington DE
International Classification:
G10L 1904
US Classification:
704219, 704220, 704222
Abstract:
Linear predictive coding (LPC) filter parameters are determined for use in encoding a voice signal. Samples of a speech signal using a z-transform function are pre-emphasized. The pre-emphasized samples are analyzed to produce LPC reflection coefficients. The LPC reflection coefficients are quantized by a voiced quantizer and by an unvoiced quantizer producing sets of quantized reflection coefficients. Each set is converted into respective spectral coefficients. The set which produces a smaller lag-spectral distance is determined. The determined set is selected to encode the voice signal.
John J. Ballow - Eatons Neck NY, US Brian F. McCarthy - Atlanta GA, US Anthony J. Relvas - Ladera Ranch CA, US
Assignee:
Accenture Global Services GmbH
International Classification:
G06Q 40/00
US Classification:
705 36R, 705 37
Abstract:
A computer-implemented method for analyzing the relative performance of a business unit includes: receiving financial data about the business unit; determining NOPLAT, revenue, capital charge, and invested capital values for the business unit at a first time and a second time from the financial data; determining at least two data points including a first component indicative of NOPLAT/revenue and a second component indicative of revenue/capital charge for the business unit, the at least two data points indicative of values determined at one of the first time and the second time, respectively; and displaying the at least two data points, a first indicia for each data point indicative of the capital value, a second indicia indicative of a spread percentage, and a third indicia indicative of a relationship between the at least two data points between the first time and the second time.
John J. Ballow - Eatons Neck NY, US Brian F. McCarthy - Atlanta GA, US Anthony J. Relvas - Ladera Ranch CA, US
Assignee:
Accenture Global Services GmbH
International Classification:
G06Q 40/00
US Classification:
705 35
Abstract:
A method for assessing the performance of a company includes: receiving financial data about the company; determining a future value of the company; decomposing the future value into a plurality of future value components, where the plurality of future value components includes an economy component that defines an implied amount of growth of the company attributable to the growth of the economy in general; and displaying at least one of the future value components.
John J. Ballow - Eatons Neck NY, US Brian F. McCarthy - Atlanta GA, US Anthony J. Relvas - Ladera Ranch CA, US Roland Burgman - New York NY, US
Assignee:
Accenture Global Services GmbH - Schaffhausen
International Classification:
G06Q 40/00
US Classification:
705 36R, 705 35
Abstract:
A computer-implemented method for analyzing corporate investments to measure the performance of a company is provided. The method may include: receiving financial data, the financial data including a plurality of operating investments of the company and a Future Value (FV) of the company; determining with a data processor a plurality of data points from the financial data, each of the plurality of data points indicative of a ratio between one of the plurality of operating investments and the Future Value (FV) of the company; determining a first benchmark and a second benchmark, the first benchmark indicative of a threshold ratio between the FV and the operating investment, the second benchmark indicative of a threshold operating investment; and displaying the data points, the first benchmark, and the second benchmark to advise a user of an effectiveness of the operating investments.
John J. Ballow - Eatons Neck NY, US Brian F. McCarthy - Atlanta GA, US Roland Burgman - New York NY, US
Assignee:
Accenture Global Services Limited
International Classification:
G06Q 40/00
US Classification:
705 35
Abstract:
Software encoded on a computer-readable medium when executed performs a method for assessing the performance of a company. The method includes receiving financial data about the company; calculating a Total Economic Profit (TEP) value based in part on the financial data, the TEP value including a current value component and a future value component, determining at least one business component of the company that drives at least one selected from the group comprising the current value component and the future value component, and assessing the at least one business component based in part on at least one selected from the group comprising the TEP value, the current value component, and the future value component. From this data, a Total Return to Shareholders (TRS) value may be calculated with a data processor. The TRS may be decomposed into components and mapped onto a computer-generated display.
John J. Ballow - Eatons Neck NY, US Brian F. McCarthy - Atlanta GA, US Anthony J. Relvas - Ladera Ranch CA, US
Assignee:
Accenture Global Services Limited - Dublin
International Classification:
G06Q 40/10
US Classification:
705 35, 705 36 R
Abstract:
A method for assessing the performance of a company is provided. The method may include receiving financial data about the company and determining a future value of the company. Next, the future value is decomposed into a plurality of future value components, where the plurality of future value components includes an economy component that defines an implied amount of growth of the company attributable to the growth of the economy in general. Finally, the method may include displaying at least one of the future value components to advise a user of the performance of the company relative to the economy in general.