Dr. Lim graduated from the Yale University School of Medicine in 1994. He works in Fairfax, VA and specializes in Surgery , Neurological. Dr. Lim is affiliated with Inova Fairfax Medical Campus.
Name / Title
Company / Classification
Phones & Addresses
Jae Lim Owner
Barracuda Japanese Restaurant Eating Places
347 Primrose Rd, Burlingame, CA 94010 Website: barracudasushi.com
Jae Lim Principal
Belvedere Capital Partners LLC Management Consulting Services
1 Maritime Plz Ste 825, San Francisco, CA 94111
Jae Jin Lim President
Nj Solution, Inc
911 E 31 St, Los Angeles, CA 90011 15343 Normandy Ln, La Mirada, CA 90638
Jae Hwang Lim Owner
Jae Lim Landscape Lawn/Garden Services
23209 Quail Smt Dr, Pomona, CA 91765
Jae Hyuk Lim President
Sweet Fish, Inc Business Services
13758 Ruette Le Parc, Del Mar, CA 92014 13801 Shirley St, Garden Grove, CA 92843 2855 Michelle, Irvine, CA 92606
Jae H. Lim President
TEAM PAINTING, INC Painting/Paper Hanging Contractor
12882 Joy St E, Garden Grove, CA 92840 (714)6366000, (949)5515900
- Dearborn MI, US Jae Hyung Lim - Canton MI, US Taylor Hawley - Oak Park MI, US Mohammad Abouali - Canton MI, US Xingping Chen - Troy MI, US Scott Huggins - Novi MI, US Navid Tafaghodi Khajavi - Troy MI, US Ryan Jones - Canton MI, US Nahid Pervez - San Jose CA, US
International Classification:
B60W 30/18 B60W 50/14 H04W 4/46 H04W 4/021
Abstract:
Methods and systems are provided for a start/stop feature. In one example, a method includes adjusting start/stop conditions in response to a vehicle operator customizing start/stop conditions. The vehicle operator customizes start/stop conditions for a plurality of different driving conditions.
Techniques For Intelligence Using Connected Vehicle Data
Vehicle manufacturers may leverage one vehicle of a household to gain intelligence to determine whether a new vehicle may be purchased or an existing vehicle may be replaced for the household. Techniques include identifying a home geofence space that identifies the household at the household address for the vehicle. The sensor data from the vehicle can be used to identify other vehicles within the home geofence space. When other vehicles are identified that match appropriate criteria, the other vehicles may be associated with the household. Further observation of the other vehicles and the behavior of the members of the household can be used to identify when an existing vehicle of the household may be replaced and/or a new vehicle may be purchased. Upon determining that a new or replacement vehicle may be purchased, marketing materials may be provided to the household to aid the household with purchasing the new vehicle.
- Dearborn MI, US Jae Hyung Lim - Canton MI, US Jeremy Lerner - Oak Park MI, US
Assignee:
Ford Global Technologies, LLC - Dearborn MI
International Classification:
B60W 30/06 G08G 1/14
Abstract:
A parking space can be identified. A lateral clearance can be identified when a vehicle is parked in the parking space based on identifying a first door of the vehicle to be provided the lateral clearance when the vehicle is parked. A parking position of the vehicle in the parking space can be determined, including a parking bias angle β between a vehicle longitudinal axis and a parking space longitudinal center axis, and a lateral offset of the vehicle with respect to the parking space longitudinal center axis, based on dimensions of the parking space and the lateral clearance.
A server includes a processor, programmed to receive a vehicle location from a vehicle, receive a weather condition of the vehicle location from a cloud server, responsive to receiving a calendar of a user including an event, calculate a departure time based on the vehicle location and a location of the event, responsive to receiving a desired cabin temperature of the user from a mobile device, calculate a minimum time for the vehicle to reach the desired cabin temperature based on the weather condition, calculate a vehicle start time using the departure time and the minimum time, and send an instruction to the vehicle to start at the vehicle start time.
Vehicle Cleanliness Detection And Carwash Recommendation
A vehicle includes a camera configured to capture an image; and a controller programmed to analyze quality of the image to calculate a lens cleanliness, responsive to detect the lens cleanliness being below a predefined threshold, identify a carwash station within a predefined distance from a navigation route, indicate the carwash station to a vehicle user, and responsive to receiving user input selecting the carwash station, set the carwash station as a navigation destination.
Automated Vehicle Profile Differentiation And Learning
- Dearborn MI, US James ISSAC - Ypsilanti MI, US Jae Hyung LIM - Canton MI, US
International Classification:
B60W 50/00 G06F 16/2457 G06N 20/00
Abstract:
A system for a vehicle includes a memory configured to store modeling parameters, generated using an algorithm that assigns relevance scores to features, that specify information indicative of how configuration data including information indicative of use of features of the vehicle classifies which user is currently using the vehicle. The system also includes a processor programmed to monitor the vehicle for the configuration data, identify a most likely user profile using the modeling parameters according to the configuration data, and apply settings of the user profile to the vehicle.
Method And Apparatus For Advanced Audio/Video Stream Management To Increase Advertising Opportunity
- Dearborn MI, US Daryl MARTIN - Kitchener, CA Jae Hyung LIM - Canton MI, US
International Classification:
H04N 21/234 H04N 21/81 H04N 21/2387
Abstract:
A system includes a processor configured to store a buffer of accelerable broadcast content. The processor is also configured to determine that a predefined condition exists, defining a situation where content acceleration is appropriate. The processor is further configured to determine a broadcast content playback point where content should be accelerated and playback a predetermined portion of the buffer at a predefined accelerated pace, responsive to reaching the playback point.
Jan 2012 to 2000 Private InvestorAscend Analytics Boulder, CO Jun 2011 to Sep 2011 Research QuantLaboratoire d'Optique Applique Paris (75) Jan 2008 to Jun 2009 Postdoc ResearcherKorea Electro-Technology Research Institute Changwon, S. Korea Oct 2006 to Dec 2007 Postdoc Researcher
Education:
John Hopkins University 2014 to 2014 Coursera, MOOC in Getting and Cleaning DataUdacity 2014 to 2014 Udacity, MOOC in Intro to Hadoop and MapReduceJohn Hopkins University 2014 to 2014 Coursera, MOOC in Regression ModelsJohn Hopkins University 2014 to 2014 Coursera MOOC in Practical Machine LearningJohn Hopkins University 2014 to 2014 Coursera, MOOC in Statistical InferenceJohn Hopkins University 2014 to 2014 Coursera, MOOC in Exploratory Data AnalysisDelft University 2014 to 2014 edX, MOOC in Credit Risk ManagementGeorgia Institute of Technology 2013 to 2013 Coursera, MOOC in Computation InvestingColumbia University 2013 to 2013 Coursera, MOOC in Financial Engineering and Risk ManagementUniversity of Washington 2013 to 2013 Coursera, MOOC in Introduction to Computational Finance and Financial EconometricsUniversity of Washington 2013 to 2013 Coursera, MOOC in Data ScienceStanford University 2013 to 2013 Coursera, MOOC in Machine LearningStanford University 2013 to 2013 Coursera, MOOC in Algorithms: Design & AnalysisJohn Hopkins University 2013 to 2013 Coursera, MOOC in Computing for Data AnalysisUCLA ANDERSON SCHOOL OF MANAGEMENT Los Angeles, CA 2011 to 2011 Masters in Financial EngineeringUNIVERSITY OF CALIFORNIA Los Angeles, CA Mar 2006 Ph.D. in PhysicsUNIVERSITY OF CALIFORNIA Los Angeles, CA Jun 1998 B.S. in Physics/Minor-Mathematics
Skills:
Python (Scipy, Numpy, Pandas), R, C/C++, Java, Matlab, VBA, Octave, SQL, Excel, SAS, MapReduce/Hadoop, Pig, Tableau, Git (Revision Control System), Linux, Unix, OS X, Windows 7 & 8