Jun Li

20100138314, Jun 3, 2010

Jun 28, 2007

12/452366

Jun Li - Tenafly NJ, US
Junbiao Zhang - Bridgewater NJ, US
Kumar Ramaswamy - Princeton NJ, US

G06Q 30/00
G06F 15/16
G06F 3/048

705 27, 705 34, 709227, 715810

The method for providing micro-billing for internet services includes establishing a micro-billing agent (MBA) within a user's access point (i.e., Internet Service Provider—ISP). The MBA contains the user's billing information and keeps that information exclusive to the MBA. By retaining the user's information with their access point, the user can conduct more secure online transactions, particularly for low cost transactions, without the inconvenience of inputting or transferring personal purchasing information to the online store. According to one aspect, the purchase page may be previously encoded with a micro-billing option which would enable the MBA to obtain user authorizations in online transactions in a more streamlined and secure manner.

59403071, Aug 17, 1999

Dec 14, 1994

8/355844

Jorge Fischbarg - New York NY
Ferenc Czegledy - Cold Spring Harbor NY
Pavel Iserovich - Brooklyn NY
Jun Li - New York NY
Min Cheung - New York NY

The Trustees of Columbia University in the City of New York - New York NY

G06F 1711
G06F 1750

364496

The present invention relates to a method for predicting the tendency of a protein to form amphiphilic. alpha. or. beta. structure, wherein a series of values for U are calculated for spans of x residues, where the equation U. sub. alpha. x =H. sub. x +. mu. sub. alpha. x - is used to predict regions of amphiphilic. alpha. structure and the equation U. sub. beta. x =H. sub. x +. mu. sub. beta. x is used to predict regions of amphiphilic. beta. structure, and where H. sub. x is the average hydrophobicity for a span of x residues,. mu. sub. x is the hydrophobic moment, and is the position dependent turn propensity. When the values for U. sub. alpha. x and U. sub. beta. x are represented graphically, peaks are predicted to represent regions of. alpha. and. beta. structure, respectively.

20220380806, Dec 1, 2022

Nov 25, 2020

17/773675

- New York NY, US
Jun Li - New York NY, US
Jinshu Xu - New York NY, US

C12N 15/86
C07K 14/47
A61P 27/16

Provided herein are compositions and methods for treating and preventing hearing loss, for treating and preventing a disorder associated with loss, damage, or absence of sensory auditory hair cells, and/or for improving auditory function in a subject in need thereof. Also provided are compositions and methods for the generation of auditory hair cells that allow perception of stimuli in a subject in need thereof.

20220349986, Nov 3, 2022

Apr 30, 2021

17/245613

- Eindhoven, NL
Jun Li - Brooklyn NY, US
Maik Brett - Taufkirchen, DE
Michael Andreas Staudenmaier - Munich, DE

G01S 7/02
G01S 7/35

Aspects of the present disclosure are directed to implementations involving the transmission of radar signals and the processing of reflections of those signals as received from a target. As may be implemented with one or more embodiments, a spectrogram may be produced by converting reflections, of transmitted radar signals from a target, into a time-frequency domain using a time-frequency analysis. One or more suppression thresholds is determined for at least one frequency signal in the spectrogram, based on frequency characteristics of the converted reflections. A range response is constructed, characterizing the target and having interference signals removed in the time-frequency domain, by converting (into the range response) selected ones of the frequency signals in the spectrogram having a magnitude within the suppression threshold.

20220268883, Aug 25, 2022

Feb 25, 2021

17/185162

- Eindhoven, NL
Jun Li - Brooklyn NY, US
Maik Brett - Taufkirchen, DE
Michael Andreas Staudenmaier - Munich, DE

G01S 7/295
G01S 7/28
G01S 13/50
G01S 7/288

In various examples, a radar system includes a logic circuit with an array for processing radar reflection signals. In a specific example, a method includes generating output data indicative of the reflection signals' amplitudes, and discerning angle-of-arrival information for the output data for the output data by correlating the output data with an iteratively-refined estimate of a sparse spectrum support vector (“support vector”). The approach may include: assessing at least one most probable spectrum support vector from among a plurality of most probable spectrum support vectors modeled as random values in a matrix drawn from a long-tail distribution that is controlled as a function of a scaling parameter; and update a set of parameters including a covariance estimate, the scaling parameter, and a noise variance parameter which is being associated with a measurement error for said at least one most probable spectrum support vector from a previous iteration.

20220268884, Aug 25, 2022

Feb 25, 2021

17/185040

- Eindhoven, NL
Jun Li - Brooklyn NY, US
Maik Brett - Taufkirchen, DE
Michael Andreas Staudenmaier - Munich, DE

G01S 7/35
G01S 13/42

Exemplary aspects are directed to a radar-based detection circuit or system with signal reception circuitry to receive reflection signals in response to radar signals transmitted towards objects. The system may include logic/computer circuitry and a multi-input multi-output (MIMO) virtual array to enhance resolution or remove ambiguities otherwise present in processed reflection signals. The MIMO array may include sparse linear arrays, each being associated with a unique antenna-element spacing from among a set of unique co-prime antenna-element spacings.

20220268911, Aug 25, 2022

Feb 25, 2021

17/185115

- Eindhoven, NL
Jun Li - Brooklyn NY, US
Maik Brett - Taufkirchen, DE
Michael Andreas Staudenmaier - Munich, DE

G01S 13/04
G01S 7/41

In one example, a radar circuit uses computer processing circuitry for processing data corresponding to reflection signals via a sparse array. Output data indicative of signal magnitude associated with the reflection signals is generated, and then angle-of-arrival information is discerned therefrom by (e.g., iteratively): correlating the output data with at least one spatial frequency support vector indicative of a correlation peak for the output data; generating upper-side and lower-side support vectors which are neighbors along the spatial frequency spectrum for said at least one spatial frequency support vector, and providing, via a correlation of the upper-side and lower-side support vectors and said at least one spatial frequency support vector, at least one new vector that is more refined along the spatial frequency spectrum for said at least one spatial frequency support vector.

20190071587, Mar 7, 2019

Jul 16, 2014

15/318434

Ruixing YUAN - Morris Plains NJ, US
Jun LI - Morris Plains NJ, US
Sean SHEN - Morris Plains NJ, US
- Morris Plains NJ, US

HONEYWELL INTERNATIONAL INC. - Morris Plains NJ

C09D 195/00
C09D 7/65
C09D 7/61
C09D 7/80

An asphalt coating for roofing waterproof membranes is provided and comprises: from about 30 to about 88 weight percent (wt %) of asphalt; from about 0.1 to about 15 wt % of a low molecular weight (MW) polyethylene; from about 1 to about 30 wt % of a thermoplastic elastomer; from about 5 to about 48 wt % of an inorganic filler; and from about 1 to about 20 wt % of a softening agent; all based on the total weight of the asphalt coating.