Annarita Giani

20200125078, Apr 23, 2020

Oct 19, 2018

16/165333

- Schenectady NY, US
Walter YUND - Clifton Park NY, US
Annarita GIANI - Niskayuna NY, US
Dan YANG - Clifton Park NY, US
Benjamin BECKMANN - Niskayuna NY, US
Joseph SALVO - Schenectady NY, US
John William CARBONE - Ballston Spa NY, US
Patricia MACKENZIE - Clifton Park NY, US

G05B 19/418

According to some embodiments, system and methods are provided, comprising a flow module to receive one or more objectives for a flow in the production of an object; a memory for storing program instructions; a flow processor, coupled to the memory, and in communication with the flow module and operative to execute program instructions to: receive a request from a user for a current state of a flow for the object; retrieve metadata and data from the physical world associated with the object; determine a current phase in the flow for the object; select an analytic model to determine the current state of the flow for the object; instantiate a digital twin for the current phase in the flow for the object; execute the selected analytic for the instantiated digital twin; generate a response to the request including the current state of the flow for the object based on the executed analytic; and display the response on a display. Numerous other aspects are provided.

20200076198, Mar 5, 2020

Oct 12, 2017

16/489497

- Schenectady NY, US
Annarita GIANI - Niskayuna NY, US
Stephanie KUHNE - Niskayuna NY, US
Peter KOUDAL - Niskayuna NY, US
Dan YANG - Niskayuna NY, US
John William CARBONE - Niskayuna NY, US
Victor Robert ABATE - Saratoga Spring NY, US
Keith LONGTIN - Slingerlands NY, US

H02J 3/38
H02J 3/32
H02J 3/14
H04L 9/06
H04L 9/32
G06Q 20/36

A system may include an energy reservoir controller associated with a microgrid's energy reservoir adapted to store energy (e.g., a battery to store electrical energy). A computer processor of the energy reservoir controller may receive indications of digital currency tokens from a token creation platform. At least some of the digital currency tokens may be placed into an available energy container based on an amount of energy stored in the energy reservoir. A consumer within the microgrid may submit a transaction request for energy, and it may be arranged for an amount of energy to be transferred from the energy reservoir to the consumer. Based on the amount of energy transferred to the consumer, a number of digital currency tokens may be moved from the available energy container into a used energy container. Information about the transaction request may then be recorded via a secure, distributed transaction ledger.

20190236489, Aug 1, 2019

Jan 30, 2018

15/883895

- Schenectady NY, US
Walter YUND - Niskayuna NY, US
Annarita GIANI - Niskayuna NY, US
Junrong YAN - Niskayuna NY, US
Dan YANG - Niskayuna NY, US
Benjamin Edward BECKMANN - Niskayuna NY, US
Joseph SALVO - Schenectady NY, US
John William CARBONE - Niskayuna NY, US
Robert BANKS - Minnetonka MN, US
Patricia MACKENZIE - Clifton Park NY, US

G06N 99/00
G06F 17/30
G06N 5/04

An industrial part modeling system may include a digital twin industrial part modeling platform containing a plurality of learning models, each learning model describing characteristics of an industrial part available to be incorporated into an industrial asset. The system may also include an application server platform and a user interface platform to receive an industrial part search or analysis requests from a user. The application server platform may receive information about the industrial part search or analysis request and execute at least one search or analysis algorithm to evaluate learning models in the digital twin industrial part modeling platform. Based on said evaluation, the application server platform may provide an industrial part search or analysis result report to the user. Moreover, the application server platform may automatically arrange for at least one of a search or analysis algorithm and a learning model to be updated based on interaction with the user.

20190230099, Jul 25, 2019

May 11, 2018

15/977558

- Schenectady NY, US
Masoud ABBASZADEH - Clifton Park NY, US
Annarita GIANI - Niskayuna NY, US

H04L 29/06
G06N 7/00

Streams of monitoring node signal values over time, representing a current operation of the industrial asset, are used to generate current monitoring node feature vectors. Each feature vector is compared with a corresponding decision boundary separating normal from abnormal states. When a first monitoring node passes a corresponding decision boundary, an attack is detected and classified as an independent attack. When a second monitoring node passes a decision boundary, an attack is detected and a first decision is generated based on a first set of inputs indicating if the attack is independent/dependent. From the beginning of the attack on the second monitoring node until a final time, the first decision is updated as new signal values are received for the second monitoring node. When the final time is reached, a second decision is generated based on a second set of inputs indicating if the attack is independent/dependent.

20190156429, May 23, 2019

Nov 21, 2017

15/819516

- Schenectady NY, US
Annarita GIANI - Niskayuna NY, US
John William CARBONE - Niskayuna NY, US

G06Q 40/00
G06Q 20/40

An original transaction data store may provide information about a series of transactions over time. A transaction data collection platform may group some of those transactions into a subset of transactions and apply a hash function to that subset to create a signature representing verifiable state information associated with an enterprise. The transaction data collection platform may then record information about the signature via a secure, distributed transaction meta-ledger without recording the subset of transactions. According to some embodiments, a transaction audit platform may retrieve the signature from the meta-ledger and retrieve original information associated with the subset of transactions (e.g., from an offline original transaction data store). The transaction audit platform may then apply the hash function to the original information to re-create an original signature, compare the retrieved signature with the original signature, and output an indication of a verification result of the comparison.