International Business Machines Corporation

Grzegorz Michal Swirszcz

Tomasz J Nowicki

John A Gunnels

Catherine Helen Crawford

Inseok Hwang

Sarah C McAllister

Randy Allan Rendahl

Yu Deng

Anca Sailer

Sani Richard Nassif

Chang-Shing Perng

Peter Feldmann

Yan Liu

Thao Ngoc Nguyen

Shahrokh Daijavad

Naoki Abe

Bhavna Agrawal

Jason William Pelecanos

Aurelie C Lozano

Claudia Keser

Saharon Rosset

Thomas J Nowicki

Jimi Xenidis

A vehicle weight detection method, system, and non-transitory computer readable medium, include calculating a first difference between a first expected weight of a vehicle and a first current weight of the vehicle based on On-Board Dash (OBD) input data, calculating a second difference between a second expected weight of the vehicle and a second current weight of the vehicle based on a spring-mass-damper mechanical algorithm using vehicle data received from a user device, and a comparing circuit configured to compare each of the first difference and the second difference to a predetermined weight difference threshold value.

Vehicle weight detection

A geolocation data discovery method, system, and non-transitory computer readable medium, include mining a textual alert message of an event from secure source data for a geolocational indicator, a temporal indicator, and a type of alert, embedding a geolocational tag location and a temporal tag time to the event based on the geolocational indicator and the temporal indicator mined from the textual alert message by the secure text mining, mapping the event with an icon related to the type of alert at the geolocational tag location on a navigational map at a time associated with the temporal tag time of the event, learning a false-positive event by comparing a secure sensor with an unsecure sensor as the secure source data, and removing updates to the icon on the map based on the learned false-positive event.

System, method, and recording medium for geolocation data discovery in streaming texts

A geolocation data discovery method, system, and non-transitory computer readable medium, include a secure text mining circuit configured to mine a textual alert message of an event from secure source data for a geolocational indicator, a temporal indicator, and a type of alert, a geolocation and temporal embedding circuit configured to embed a geolocational tag location and a temporal tag time to the event based on the geolocational indicator and the temporal indicator mined from the textual alert message by the secure text mining circuit, and an event mapping circuit configured to map the event with an icon related to the type of alert at the geolocational tag location on a navigational map at a time associated with the temporal tag time of the event.

A vehicle weight detection method, system, and non-transitory computer readable medium, include calculating a first difference between a first expected weight of a vehicle and a first current weight of the vehicle based on On-Board Dash (OBD) input data, calculating a second difference between a second expected weight of the vehicle and a second current weight of the vehicle based on a spring-mass-damper mechanical algorithm using vehicle data received from a user device, a comparing circuit configured to compare each of the first difference and the second difference to a predetermined weight difference threshold value, and a location checking circuit configured to checks if a location of the vehicle matches a location in a list of verified weight change locations of a database if the comparing circuit detects at least one of the first difference and the second difference is greater than the predetermined weight difference threshold value.

System, method, and recording medium for vehicle weight detection

A method of black ice detection includes receiving image stream data from a mobile device. The mobile device is in a vehicle. At least one of accelerometer data from at least one accelerometer, temperature and humidity data, and on board dash vehicle data is received. A classifier embedded in the mobile device is run to evaluate the received image stream data, and the at least one of the accelerometer data, the temperature and humidity data, and the on board dash vehicle data. It is determined whether black ice is present in the image stream data based on a result generated by the classifier.

Method for black ice detection and prediction

Methods, apparatus, and articles of manufacture are disclosed. These perform the following: accessing records of previous usage within a billing period of service units for customers, wherein the service units are discrete sizes of services for resource types, wherein each usage of an individual one of the service units has start and stop events, and wherein each resource type has a price fixed as of a date of the previous usage; dividing the billing period into time periods determined using the start and stop events for the usage of all of the service units; using the accessed records and the time periods and based on one or more criteria, assigning resource types to the previous usage in the time periods of the service units by the customers; and determining total charge for a selected customer based on the assignments of the resource types and corresponding prices for the selected customer.

Methodology for charging of discrete resource reservation based services

A method, system and computer program product are disclosed for identifying false positive indications of high impedance faults in an AC electric power transmission and distribution network. In one embodiment, the method comprises using a procedure to monitor a phase conductor of the network for faults, said procedure generating a fault signal indicating a specified fault in the conductor. In this embodiment, the voltage and current waveform of the electric power conducted through the conductor are monitored. When a phase shift in said waveform is detected over a defined period of time, and said detected phase shift meets one or more given criteria, a correction signal is generated indicating that said fault signal is a false indication of the specified fault. The given criteria may include, for example, that the phase shift is more than a threshold value for a specified period of time.

Identification of false positives in high impedance fault detection

A method for detecting high impedance faults, including: receiving an input waveform from a circuit; computing a root mean square of the input waveform; fitting a regression line to the root mean squares; computing a deviation between the regression line and the root mean squares; determining whether the deviations are above a threshold; and outputting a value indicating that a fault has occurred in the circuit when the deviation is above the threshold and outputting a value indicating that a fault did not occur in the circuit when the deviation is below the threshold.

Method for detecting high impedance faults by analyzing a local deviation from a regularization

A 'variable group selection' system and method in which constructs are based upon a training data set, a regression modeling module that takes into account information on groups of related predictor variables given as input and outputs a regression model with selected variable groups. Optionally, the method can be employed as a component in methods of temporal causal modeling, which are applied on a time series training data set, and output a model of causal relationships between the multiple times series in the data.

Methods and systems for variable group selection and temporal causal modeling

A method and apparatus detect and localize electric faults in electrical power grids and circuit. High impedance faults are detected by analyzing data from remote sensor units deployed over the network using the algorithms of speech and speaker analysis software. This is accomplished by converting the voltage and/or current waveform readouts from the sensors into a digital form which is then transmitted to a computer located either near the sensors or at an operations center. The digitized data is converted by a dedicated software or software/hardware interface to a format accepted by a reliable and stable software solution, such as speech or speaker recognition software. The speech or speaker recognition software must be 'trained' to recognize various signal patterns that either indicate or not the occurrence of a fault. The readout of the speech or speaker recognition software, if indicating a fault, is transmitted to a central processor and displayed to provide information on the most likely type of fault. Automatic or human decision is then implemented based on the generated information.

Application of speech and speaker recognition tools to fault detection in electrical circuits

A self-propelled, automated, autonomic grid crawler which, when attached to a wire, moves along the wire to sense conditions of the wire. The grid crawler includes a central processing unit (CPU), working memory, such as random access memory (RAM), persistent money, such as read only memory (ROM) and hard drive (HD), sensor electronics, a wireless interface, a location device, such as a global positioning satellite (GPS) receiver, motive power system, and a battery. The sensor electronics serves to sense various types of faults. The CPU analyzes the data from the sensor electronics using pre-analysis and pre-qualification algorithms, which are stored in the HD. Depending on the results of the analysis, the CPU transmits information to the central station, either directly or indirectly via mounted docking devices, that potentially indicates a fault, including the location of the fault as determined by the GPS receiver. The pre-processing and pre-qualifying of the data at the autonomic grid crawler limits the amount of data that needs to be transmitted to the central station, thereby saving battery power.

Intelligent, self-propelled automatic grid crawler high impedance fault detector and high impedance fault detecting system

The present invention provides a system and method for determining the prices and order quantities that maximize a retailer's expected profit by using a multi-dimensional distribution of the highest prices that customers are willing to pay. This is novel, as well in the literature as in the patent database. Brand switching is dealt with, taking into account that consumers who come into the store with a-priori preferences for products build a-posteriori preferences at the point of purchase based on actual retail prices and availabilities in the store.

System and method to determine the prices and order quantities that maximize a retailer's total profit

A system and method for analyzing a memory element includes modeling the memory element using a simulation method and determining component response characteristics for components of the memory element. Safety regions are computed in a state space of the memory element, which indicate stable states. A transient analysis is performed to determine a path and time needed to reach one of the safety regions. Based on the path and time needed to reach one of the safety regions, a clock waveform or waveforms are determined which place a corresponding state in that safety region.

Growing community of inventors

Ossining, NY, United States of America

Grzegorz Michal Swirszcz