Jianguo Dan Li, 53625 W Madison St, Chicago, IL 60661

8317980, Nov 27, 2012

Apr 7, 2010

12/755744

Jianguo Li - Woodridge IL, US
Xurong Zhao - Nantong, CN

Nantong Tianyi Environment and Energy Technology Limited Corporation - Nantong, Jiangsu Province

C10B 1/10
C10B 43/06

201 2, 201 25, 201 33, 202117, 202241, 202249, 202262

A reactor having a shaft protruding through one end, a fuel output tube protruding through a second end, shovels housed inside, and a discharge tube, is provided. A first end of the discharge tube is inside of the reactor and the second end protrudes out of the fuel output tube. A helix thruster can be inside the discharge tube and have a driver shaft with a first gear inside of the reactor. The reactor can also include a residue collector and a fork. The fork can be disposed on a driven shaft including a second gear, which engages the first gear of the helix thruster. A system for feeding materials into the reactor is also disclosed as well as methods of converting waste plastic or rubber into fuel using the reactor.

8620964, Dec 31, 2013

Nov 21, 2011

13/301345

Dorothea Tsatsou - Thessaloniki, GR
Paul C. Davis - Arlington Heights IL, US
Jianguo Li - Chicago IL, US
Ioannis Kompatsiaris - Thermi, GR
Symeon Papadopoulos - Thermi, GR

Motorola Mobility LLC - Libertyville IL

G06F 17/30

707798, 707803, 707810

Disclosed are methods in which ontologies are automatically (i. e. , with little or no human interaction) constructed from data. The constructed ontology may be provided for use by an application or device. An ontology may be constructed as follows. Firstly, a lexical graph is constructed. Secondly, a concept-detection process is performed on the lexical graph to detect concepts (prominent terms) in the lexical graph. Thirdly, a clustering method is performed on the lexical graph to form groups of concepts. Fourthly, relationships between the concepts are determined based on the interconnections of the concepts in the groups. Lastly, the concepts and detected relationships therebetween are structured using a formal ontology specification.

2010006, Mar 18, 2010

Sep 17, 2008

12/211988

Jianguo LI - Woodridge IL, US

C10B 33/02
B08B 9/087
C10B 43/00

201 2, 202241, 202261

Presented in this application is a simply operated, continuous residue discharging system. The system includes two sub-systems which convey residue from a reactor, through a closed residue discharging channel, to a residue storage tank. Also disclosed is a method of using the high temperature, separable, continuous residue discharging system and a kit including components for a continuous residue discharging system.

2010006, Mar 18, 2010

Mar 11, 2009

12/401744

Jianguo LI - Woodridge IL, US
Xianji WU - Nantong, CN

C10B 53/07
C10B 53/00
C10B 57/00
C10B 1/10

201 25, 202 84

A waste plastic to fuel oil distillation vessel is disclosed. The distillation vessel can be a revolving cone with many traverse supporting tubes therein. This structure allows high temperature air or gas to go through the support tubes, which pass through the vessel, to increase the heating area and increase the temperature of the distillation vessel. Also disclosed is a discharging system for discharging residue from inside of the vessel and a method of converting waste plastic or rubber into fuel oil.

2013016, Jun 27, 2013

Dec 22, 2011

13/334292

Paul C. Davis - Arlington Heights IL, US
Jianguo Li - Chicago IL, US
Guohua Hao - Vernon Hills IL, US

GENERAL INSTRUMENT CORPORATION - Horsham PA

G06N 5/04

706 54

In a hierarchical profile, each node represents at least one feature of behavioral data collected about an entity profiled, with the topmost node selected as the “statistically most informative” feature of the data. A profile can cover numerous domains and be predictively very powerful in each domain. A number of observations can be “aggregated” together into a single datapoint. In use, the structure of the profile is compared against current information associated with the entity to produce a recommendation or prediction. If the profile represents at least some data aggregation, then new observations are folded into the profile based on statistical weights of the aggregations. Because of the way the profile is created and updated, its hierarchical structure maps the collected observations. Therefore, as new observations are incorporated, if the new observations change the profile's structure significantly, then it can be hypothesized that something “interesting” has happened to the entity.

2013016, Jun 27, 2013

Dec 22, 2011

13/334222

Jianguo Li - Chicago IL, US
Guohua Hao - Vernon Hills IL, US
Paul C. Davis - Arlington Heights IL, US

General Instrument Corporation - Horsham PA

G06F 7/00

707803, 707E17044

In a hierarchical profile, each node represents at least one feature of behavioral data collected about an entity profiled, with the topmost node selected as the “statistically most informative” feature of the data. A profile can cover numerous domains and be predictively very powerful in each domain. A number of observations can be “aggregated” together into a single datapoint. In use, the structure of the profile is compared against current information associated with the entity to produce a recommendation or prediction. If the profile represents at least some data aggregation, then new observations are folded into the profile based on statistical weights of the aggregations. Because of the way the profile is created and updated, its hierarchical structure maps the collected observations. Therefore, as new observations are incorporated, if the new observations change the profile's structure significantly, then it can be hypothesized that something “interesting” has happened to the entity.

2013016, Jun 27, 2013

Dec 22, 2011

13/334242

Guohua Hao - Vernon Hills IL, US
Jianguo Li - Chicago IL, US
Paul C. Davis - Arlington Heights IL, US
Robert S. Witte - Algonquin IL, US

GENERAL INSTRUMENT CORPORATION - Horsham PA

G06F 7/00

707804, 707E17044, 707E17009

In a hierarchical profile, each node represents at least one feature of behavioral data collected about an entity profiled, with the topmost node selected as the “statistically most informative” feature of the data. A profile can cover numerous domains and be predictively very powerful in each domain. A number of observations can be “aggregated” together into a single datapoint. In use, the structure of the profile is compared against current information associated with the entity to produce a recommendation or prediction. If the profile represents at least some data aggregation, then new observations are folded into the profile based on statistical weights of the aggregations. Because of the way the profile is created and updated, its hierarchical structure maps the collected observations. Therefore, as new observations are incorporated, if the new observations change the profile's structure significantly, then it can be hypothesized that something “interesting” has happened to the entity.

2013017, Jul 11, 2013

Jan 11, 2012

13/348368

James R. Talley - Austin TX, US
Mir F. Ali - Rolling Meadows IL, US
Guohua Hao - Vernon Hills IL, US
Haifeng Li - Scarsdale NY, US
Jianguo Li - Chicago IL, US
Dale W. Russell - Palatine IL, US

GENERAL INSTRUMENT CORPORATION - Horsham PA

G06F 17/27

704 9

Disclosed are methods and apparatus for processing linguistic expressions (e.g., opinionated text documents). The linguistic expressions are processed by, firstly, detecting topics of interest discussed in the linguistic expressions. The sentiment, or sentiments, of an originator with respect to each of the topics detected in the linguistic expressions is then assessed. The originators are then grouped (or clustered) into one or more groups based on the similarities between the originators' respective sets of detected topics and corresponding sentiments. Semantic information is then associated with a given group. Finally, for a given member of a given group, a profile is created or updated. This profile comprises attributes that may be based on a degree of membership of the given member to the given group and the semantic information associated with the given group.