- Greenbelt MD, US Feng Zhang - Greenbelt MD, US Chen Chen - Burlingame CA, US Beibei Wang - Clarksville MD, US Chenshu Wu - Greenbelt MD, US Hangfang Zhang - Greenbelt MD, US Chau-Wai Wong - Raleigh NC, US David N. Claffey - Somerville MA, US Chun-I Chen - Brookville MD, US Hung-Quoc Duc Lai - Parkville MD, US Min Wu - Clarksville MD, US Yi Han - Ellicott City MD, US Oscar Chi-Lim Au - San Jose CA, US K. J. Ray Liu - Potomac MD, US
Assignee:
ORIGIN WIRELESS, INC. - Greenbelt MD
International Classification:
H04L 27/36 H04B 1/38 H04W 72/04
Abstract:
Apparatus, systems and methods for recognizing and classifying events in a venue based on a wireless signal are disclosed. In one example, a disclosed system comprises a first transmitter, a second transmitter, at least one first receiver, at least one second receiver, and an event recognition engine, in the venue. The first transmitter transmits a training wireless signal through a wireless multipath channel impacted by a known event in the venue in a training time period associated with the known event. Each first receiver receives asynchronously the training wireless signal, and obtains, asynchronously based on the training wireless signal, at least one time series of training channel information of the wireless multipath channel between the first receiver and the first transmitter. The second transmitter transmits a current wireless signal through the wireless multipath channel impacted by a current event in a current time period associated with the current event. Each second receiver receives asynchronously the current wireless signal, and obtains, asynchronously based on the current wireless signal, at least one time series of current channel information of the wireless multipath channel between the second receiver and the second transmitter. The event recognition engine trains a classifier based on the training channel information; and apples the classifier to: classify the current channel information and associate the current event with at least one of: a known event, an unknown event and another event.
Methods, Devices, Servers, Apparatus, And Systems For Wireless Internet Of Things Applications
- Greenbelt MD, US Masato MARUMO - Tokyo, JP Beibei WANG - Clarksville MD, US Hung-Quoc Duc LAI - Parkville MD, US K. J. Ray LIU - Potomac MD, US Chen CHEN - Burlingame CA, US Qinyi XU - College Park MD, US Yi HAN - Ellicott City MD, US Feng ZHANG - Greenbelt MD, US Zoltan SAFAR - Ellicott City MD, US
Assignee:
ORIGIN WIRELESS, INC. - Greenbelt MD
International Classification:
H04L 27/36 H04W 72/04 H04B 1/38
Abstract:
The present teaching relates to wireless Internet of Things. In one example, a time reversal client is disclosed. The time reversal client comprises a processor, a memory communicatively coupled with the processor, and a set of instructions, when executed by the processor based on the memory, that cause the time reversal client to perform the following steps: communicatively coupling with a time reversal server through a network, obtaining a set of channel state information (CSI), wherein the set of CSI is captured when at least one probing signal is sent from the wireless transmitter to the wireless receiver through a wireless multipath channel associated with a space, and causing the set of CSI to be sent to the time reversal server through the network.
Method, Apparatus, And Systems For Wireless Event Detection And Monitoring
- Greenbelt MD, US Feng Zhang - Greenbelt MD, US Chen Chen - College Park MD, US Beibei Wang - Clarksville MD, US Zoltan Safar - Ellicott City MD, US Yi Han - Ellicott City MD, US Hung-Quoc Duc Lai - Parkville MD, US K. J. Ray Liu - Potomac MD, US
An apparatus for detecting events includes a processor and a storage device storing instructions that when executed by the processor cause the processor to train a classifier for classifying channel state information (CSI) and detecting an event based on the classification of the CSI obtained during a monitoring phase. The training of the classifier includes: for each of the known events to be detected, during a time period in which the known event occurs in a venue, obtain training CSI of a wireless multipath channel between a wireless transmitter and a wireless receiver in the venue, in which the training CSI is derived from one or more probing signals sent from the transmitter through the wireless multipath channel to the receiver, and train the classifier based on the known events and the training CSI associated with each of the events.
Method, Apparatus, And System For Object Tracking And Navigation
- Greenbelt MD, US Hung-Quoc Duc LAI - Parkville MD, US Chun-I CHEN - Brookeville MD, US Chau-Wai WONG - Raleigh NC, US Beibei WANG - Clarksville MD, US Chen CHEN - College Park MD, US Oscar Chi-Lim AU - San Jose CA, US Yi HAN - Ellicott City MD, US K. J. Ray LIU - Potomac MD, US
Assignee:
ORIGIN WIRELESS, INC. - Greenbelt MD
International Classification:
H04L 27/36 H04B 1/38 H04W 72/04
Abstract:
Method, apparatus and systems for object tracking are disclosed. In one example, a disclosed method includes obtaining at least one time series of channel information (CI) of a wireless multipath channel using: a processor, a memory communicatively coupled with the processor and a set of instructions stored in the memory. The at least one time series of channel information is extracted from a wireless signal transmitted between a Type 1 heterogeneous wireless device at a first position in a venue and a Type 2 heterogeneous wireless device at a second position in the venue through the wireless multipath channel. The wireless multipath channel is impacted by a current movement of an object in the venue. The method also includes determining a spatial-temporal information of the object based on at least one of: the at least one time series of channel information, a time parameter associated with the current movement, and a past spatial-temporal information of the object. The at least one time series of channel information is preprocessed. Associated computation may be shared among the processor, the Type 1 heterogeneous wireless device and the Type 2 heterogeneous wireless device.
Method, Apparatus, Server, And Systems Of Time-Reversal Technology
- Greenbelt MD, US Hung-Quoc Duc LAI - Parkville MD, US Beibei WANG - Clarksville MD, US Chen CHEN - College Park MD, US Oscar Chi-Lim AU - San Jose CA, US
Assignee:
ORIGIN WIRELESS, INC. - Greenbelt MD
International Classification:
H04L 27/36 H04W 72/04 H04B 1/38
Abstract:
The present teaching relates to collecting and processing location-specific wireless waveforms for use in wireless communication, components, methods, apparatuses, servers, and systems. In one embodiment, a disclosed system comprises a first wireless transceiver of a first device, and at least one second wireless transceiver of at least one second device. The first wireless transceiver of the first device is wirelessly coupled to the at least one second wireless transceiver through a wireless multipath channel associated with a space. The first device with the first wireless transceiver comprises a processor and a memory, which are configured to obtain a set of channel information (CI) and perform a task associated with the space based on the set of channel information. The set of channel information is captured when at least one probing signal is either (1) sent from the first wireless transceiver to a particular second wireless transceiver through the wireless multipath channel associated with the space, or (2) sent from the particular second wireless transceiver to the first wireless transceiver through the wireless multipath channel. The set of CI comprises a channel impulse response, a channel frequency response, a channel profile, and/or another channel data of the wireless multipath channel.
- Boston MA, US Hung-Quoc Duc LAI - Parkville MD, US Yi HAN - Ellicott City MD, US Chen CHEN - College Park MD, US
International Classification:
G01S 5/06 G01S 5/02
Abstract:
A time-reversal positioning system includes a storage storing first data representing channel impulse responses derived from probe signals sent from a plurality of positions and second data representing coordinates of the positions. A data processor determines a position of a terminal device based on the stored channel impulse responses and a time-reversed signal determined based on a time-reversed version of a channel impulse response that is estimated based on a channel probing signal sent from the terminal device.
Method, Apparatus, Server, And Systems Of Time-Reversal Technology
- Greenbelt MD, US Hung-Quoc Duc Lai - Parkville MD, US Beibei Wang - Clarksville MD, US Qinyi Xu - Greenbelt MD, US Chen Chen - College Park MD, US Feng Zhang - Greenbelt MD, US Yi Han - Greenbelt MD, US Zoltan Safar - Ellicott City MD, US Oscar Chi-Lim Au - San Jose MD, US
International Classification:
H04W 72/04 H04W 72/08
Abstract:
A time-reversal wireless system comprising a first wireless transceiver of a time-reversal client, one or more second wireless transceiver and/or a time-reversal client with the first wireless transceiver. The first wireless transceiver of the time-reversal client is wirelessly coupled to the one or more second wireless transceiver through a wireless broadband multipath channel associated with a space. The time-reversal client contains the first wireless transceiver. The time-reversal client also contains a processor and a memory configured to obtain a set of channel state information (CSI) in a channel probing phase, and/or to obtain a set of location-specific signatures based on the set of CSI and/or a time reversal operation in a channel probing phase. The set of CSI is captured when one or more probing signal is sent either from the first wireless transceiver to each of the at least one second wireless transceiver, or from each of the at least one second wireless transceiver to the first wireless transceiver, through the wireless broadband multipath channel associated with the space. A channel passband with bandwidth W0 is associated with the wireless broadband multipath channel. A first passband with bandwidth W1 is associated with the first wireless transceiver. The W1 is not larger than W0 such that the first passband is part of the channel passband. One or more second passband is associated with the one or more second wireless transceiver such that a bandwidth W2 associated with each of the one or more second passband is not larger than W1 such that the each of the one or more second passband is part of the first passband. Each of the set of CSI include a channel impulse response, a channel frequency response, and/or another channel state data of the wireless broadband multipath channel.
Nov 2014 to Present Teaching AssistantACI Testing Group San Jose, CA Jun 2014 to Aug 2014 Project MemberUniversity of Maryland
Mar 2014 to May 2014 Course Project Lead of LLVM ProjectUniversity of Maryland
Sep 2013 to Nov 2013 Course Project Lead of Floating-point Processor DesignDecryption
Sep 2013 to Nov 2013 Course Project Member of Hardware-based RSA EncryptionVerilog and C+
Sep 2013 to Nov 2013 Course Project Lead of C Simulator for Tomasulo Algorithm
Education:
University of Maryland College Park, MD Sep 2013 Master in Electrical and Computer EngineeringTsinghua University Sep 2010 to Jul 2013 Master in Information and Communication EngineeringBeijing University of Posts and Telecommunications Sep 2006 to Jul 2010 Bachelor in Electronic Information Engineering
IrisQA, LLC Frederick, MD Jul 2012 to Aug 2012 Software Development InternJohns Hopkins School of Medicine Baltimore, MD Sep 2011 to May 2012 Medical Device Research AssistantJohns Hopkins School of Medicine Baltimore, MD Jul 2011 to Aug 2011 Summer ResearcherJohns Hopkins University Baltimore, MD Jan 2010 to Jun 2011 Programmer & Delineator
Education:
Johns Hopkins University Baltimore, MD May 2013 Master of Science in Electrical EngineeringJohns Hopkins University Baltimore, MD May 2012 Bachelor of Science in Biomedical EngineeringJohns Hopkins University 2008 to 2012 Bachelor of Science in Electrical Engineering
Institute for Bioscience and Biotechnology Research, University of Maryland
Jun 2006 to Present Research AssociateJohns Hopkins University, School of Medicine Baltimore, MD Aug 2000 to May 2006 PhD StudentDepartment of Biochemistry and Molecular Biology, School of Life Sciences, Nankai University
Sep 1997 to Jun 2000 M.S. studentDepartment of Biochemistry and Molecular Biology, School of Life Sciences, Nankai University
Mar 1997 to Jun 1997 B.S. student
Education:
Johns Hopkins University, School of Medicine Baltimore, MD 2000 to 2006 Ph. D. in Biological ChemistryNankai University 1997 to 2000 M. S. in Molecular BiologyNankai University 1993 to 1997 BS in Biochemistry and Molecular Biology
Skills:
Molecular biology and cloning; protein production in E. coli and mammalian cell line; protein purification with KTA system; MALDI mass spectrometry; Biacore SPR system for binding assays; analytical ultracentrifuge; protein crystallography; diffraction data collection with in-house and synchrotron beams; computer programs for crystallography data processing (XDS, D*TREK, MOSFLM), structure determination and refinement (CCP4, CNS, PHENIX), model building (XTALVIEW, COOT), structure analysis (PYMOL, CURVES+), molecular dynamics simulation (CNS, VMD); computer program for single particle reconstruction from electron microscopy images (EMAN); LINUX operation system; PYTHON script language.
The newly formed team includes Matthew Pavao, Heidi Erlacher, and Chen Chen, all of whom previously held partner roles at Cooley and bring decades of collective experience in life sciences patent law. Fenwick said the move strengthens its focus on the Boston regions intersection of biotech innovatiChen Chen, a Harvard Ph.D. in chemistry, with an undergraduate degree from the University of Science and Technology of China, focuses on global IP strategy for life sciences clients. Fluent in Mandarin, Chen plays a key role in cross-border patent transactions, particularly involving China.
Date: Apr 14, 2025
Category: Your local news
Source: Google
A week of events in Cambridge and Somerville including Nice, A Fest, and Northbeast poetry
The events title references Beins 2023 chapbook Character Flaws and is the launching pad for this educator-turned-climate-activists depressingly fun, ridiculously serious afternoon of poetry and conversation. Poets Lulu Liu, Lora Keller and Chen Chen will also read. Information is here.
Date: Jul 18, 2024
Category: Your local news
Source: Google
Top Fund Says China Junk Bond Yield Premiums to Rise on Defaults
The government may allow debt non-payments in an orderly way, Yang Qingding and Chen Chen, fund managers at Soochow Asset Management Co., said in an e-mail interview. Their Soochow Dingli Bond Fund has returned 16.5 percent in the past year, ranked No. 1 among all note funds tracked by research fi
Date: Jun 03, 2016
Category: World
Source: Google
Reddit launches official apps for Android and iPhone
nce things quieted down in the fall, Reddit decided to put resources toward creating new mobile apps of its own. After hiring Alex Le to become vice president of consumer product, Reddit brought on Chen Chen from Instagram to become its lead iOS engineer. The two, alongside a small internal team at
The popular Tamil festival Pongal goes on from January 14 to 17. Grand celebrations are held in many universities. Chen Chen and his girl friend Zhang Qian, an MBA student, also joined the grand college celebrations with other Indian students.
Date: May 12, 2013
Category: World
Source: Google
Googleplus
Chen Chen
Work:
PricewaterhouseCoopers KPMG Ernst & Young Deloitte Touche Tohmatsu
Education:
Northern State University - Business, Shanhai institute of foreign trade - Business
Tagline:
Shrek!
Chen Chen
Education:
Virginia Polytechnic Institute and State University - Chemical Engineering, Tsinghua University - Polymer Materials and Engineering
Chen Chen
Education:
Fudan University - Computer Science, University of Waterloo - Computer Science
Chen Chen
Work:
Unemployed (2012)
About:
N.A.I'm Lazy as my bio does.
Tagline:
The Ultimate Redemption
Bragging Rights:
呵呵
Chen Chen
Work:
MADRID
Education:
UNIVERSIDAD DE SALAMANCA
Chen Chen
Work:
Nangjing University - Student (2009)
Chen Chen
Education:
Imperial College London - Mathematics, Bellerbys College
Chen Chen
Education:
University of Sussex - International Marketing, Raffles college, Changchun University - Business Administration