International Business Machines Corporation

Abdolreza Salahshour

Genady Grabarnik

Sheng Ma

Chang-Shing Perng

Kenneth Mark Hunsinger

John Raithel Hind

Marvin L Williams

Harm Sluiman

Balan Subramanian

David Matthew Loewenstern

Kevin Minerley

Eric Labadie

Ma Sheng

Patrick P Reynolds

David Mark Ogle

John William Sweitzer

Douglas Andrew Wood

Michael LaVerna Wamboldt

David Hutchinson Thoenen

Nagarjuna R Vemireddy

Jonathan D Dunne

Steven Michael Miller

John Kenyon Gerken, Iii

Ravi Krishnan Muthukrishnan

Amanda Elizabeth Chessell

Jeffrey Alan Calcaterra

Karl J Cama

William Pettit Horn

Balachandar Rajaraman

Greg P Fitzpatrick

Marcelo Perazolo

Jason Howard Cornpropst

Heather Marie Kreger

Hiroyuki Miyamoto

Leslie Rodriguez

Tools, methods and systems for filtering air, identifying contaminants in the air being filtered, collectivizing the contaminant data from a network of filtering systems to identify the source of the contaminant, allowing for real-time mapping of the flow of contaminants in the air and predictive location mapping. Filtration systems receive, analyze, identify, track and report the presence of contaminants in the air using one or more computing systems, or specialized air filtration systems which may be either a self-contained computing systems, connected to a computing system or connected to a computing network. Messaging services provide updates, alerts and reports regarding the presence of the contaminant to the general public and/or selective alerts to medically sensitive or endangered individuals whose medical information indicates the contaminant is harmful or dangerous to particular individuals present in the surrounding area.

Air quality monitoring, analysis and reporting system

Tracking movement of a lead vehicle and following vehicles driving to a common destination to maintain a specific relationship of the lead vehicle with the following vehicle(s) traveling through traffic conditions or obstacles such as traffic lights, intersections with stop signs, merging onto other roads, and other traffic obstacles such as road construction on the route to the common destination. The specific relationship is maintained by using data regarding the following vehicles of: real-time speed of the following vehicle, the following vehicle's current location, distance from the following vehicle to the lead vehicles, presence of other vehicles between the lead vehicle and following vehicle, and presence of other vehicles in adjacent lanes to the following vehicle.

Traffic navigation for a lead vehicle and associated following vehicles

A computer-implemented method for intelligent chat governance, is provided. The computer-implemented method includes analyzing an incoming message based on relationship between a plurality of users, content of the incoming message, and metadata of the incoming message. The computer-implemented method further includes calculating a plurality of prioritization metrics of the incoming message based on a comparison of the analyzed message to a knowledge base, wherein the knowledge base includes behavioral tendencies of users of the incoming message, patterns of interaction of the users, and situational awareness of the users. The computer-implemented method further includes the transmitting the incoming message to a client interface of, in response to a determination that at least one of the plurality of prioritization metrics are greater than a threshold level.

Cloud based chat governance system based on behavioral patterns and situational-awareness

Systems and methods for monitoring quality of filters within a filtering system are disclosed. The system includes at least one pressure sensor which monitors a force applied by a filter on a filter housing. The system further includes a control system which provides notification to a user when the force measured by the at least one pressure sensor exceeds a predetermined threshold value.

Filter systems

A system and method for reporting a user's behavior and patterns when engaged in use of an electronic consumable. In a preferred embodiment, an electronic consumable such as an electronic book or library includes detectors for collecting biological information from a user. This information is analyzed to identify the user's interests in and reactions to the electronic consumable.

Self-contained and automated eLibrary profiling system

A technique to generically manage extensible correlation data is provided for correlating a series of events. The technique employs a global unique identifier (GUID) for identifying an event and uses the GUID as a key to associate one or more extensible correlators of correlation data. A transport correlator may be configured to transport the GUID for associating with a GUID of a second event such that a small and fixed amount of data is passed by the communications layer providing the transport, minimally impacting communications. An arbitrary amount of data may be logged and keyed with the GUID, providing optimization and flexibility.

Technique to generically manage extensible correlation data

Selectively obfuscating, or obscuring, a portion or portions of information in a multi-party transmission. A user participating in a multi-party exchange signals a communication device (or proxy) that he will provide private information that is to be perceptible only to a subset of the other participants. This user also identifies that subset, preferably by providing a group identifier for a group in which that subset of participants are members. The communication device transmits a member-specific descriptor comprising an encrypted version of a group key, and uses this group key to encrypt the private information that is to be perceptible only to the subset. Device-specific characteristics of participant devices are used, in addition to user-provided data (such as a user's log-on identifier and/or password), as input to create cryptographic key information. Only participants in the subset can decrypt the encrypted private information; other participants preferably receive a filler pattern instead.

Dynamic, selective obfuscation of information for multi-party transmission

A system to correlate and consolidate a plurality of events includes at least one adapter to correlate and consolidate every one of the plurality of events to form a multi-personality event. Each one of the plurality of events is emitted in response to an incident affecting an event producer. The system also includes a plurality of smart event adapters to correlate and consolidate each of the plurality of events to form the multi-personality event. The multi-personality event includes complete details contained in each event of the plurality of events serially appended to an initial multi-personality event formed by two of the plurality of events. Each remaining event is serially appended the initial multi-personality event.

Method and system to correlate and consolidate a plurality of events

Techniques for parsing rule creation are provided. A technique for constructing one or more message parsing rules may comprise the following steps. First, message data representing past messages, for example, associated with a network, an application and/or a system being analyzed, is obtained. For example, this may involve reading the past or historical message data from messages logs or having a system point to the message data in existing data storage. Parsing rules are then generated by a process from one or more existing rule templates and/or based on user selection and classification of at least a portion of a message. For example, the user may choose a message part and demonstratively classify the part, for example, as a positive or negative example. The generated rules may then be stored for access by a rule-based parsing system such as a message adaptation system. Prior to generation of the one or more parsing rules, a message structure may be established upon which generation of the rules may be based.

Methods and apparatus for creation of parsing rules

A computer processing device receives computer readable data to derive computer executable rules for mining and constructing situation categories. The received data is transformed into a predetermined standard format if the received data is not already in the predetermined standard format. The predetermined standard formatted data is parsed, and an outer, iterative loop is performed until at least one predetermined stopping criterion is met. An inner iterative loop is performed within the outer iterative loop until all desired subsets of data are processed. During the inner iterative loop, selected subsets of data are labeled with labels associated with corresponding previously labeled subsets of data. New computer executable rules are generated for mining and constructing situation categories from the labeled subsets of data. Keyword list classifiers are transformed using the stored labeled subsets of data.

Rules generation for IT resource event situation classification

A rule set to convert an event into a standardized format can be established based on cooperation among peer processing nodes. A processing node that receives the event takes the initial responsibility to convert the event. The responsible processing node initially attempts to convert the event using locally available rules. If the initial attempt fails, the responsible processing node will communicate the event to peer processing nodes and request them to provide conversion rules. Upon receipt of the rules provided by the peer processing nodes, the responsible processing node combines the received rules with the locally available rules to generate a rule set to convert the event. The responsible processing node may also transfer the event to another processing node for the other processing node to take the responsibility to convert the event.

Peer based event conversion

Methods, systems, and computer program products for generating a common event format representation of information from a plurality of messages include parsing a rule associated with a current message to determine if a property of a common event format representation for the current message is to be populated with a property value from a previous message. If the rule specifies to obtain the property value from the previous message, the property value is obtained from the previous message and the common event format representation for the current message is populated with the obtained property value from the previous message. The property value may be obtained by generating a computed key based on properties of the current message that are common to the previous message, and identifying the previous message based on the key of the current message. The rule associated with the current message may also be parsed to determine if the property of the common event format representation for the current message is to be populated with a property value determined by specified code. If the rule specifies to obtain the property value using the specified code, the property value is obtained using the specified code and the common event format representation for the current message is populated with the obtained property value obtained using the specified code.

Event decomposition using rule-based directives and computed keys

An off-line knowledge acquisition process takes IT resource messages and automatically generates a set of rules used to provide situation categories for the resource messages/events. The off-line knowledge acquisition process generates an event-to-situation mapping file for efficiently mapping situation to events in runtime. Rules are fed back into a knowledge repository and process for reuse. The off-line knowledge acquisition process provides methods to reiterate the process of mining (autonomically and/or by human interaction) to improve the rules and confidence level assigning the situation categories. A runtime categorizer component uses the event-to-situation mapping file to add situation categories to the IT resource events. The runtime categorizer uses a plurality of annotator components each capable of adding a situation annotation to incoming messages based on rules generated by the off-line knowledge acquisition process. An assessment component chooses the best situation category from those annotated by the annotator components.

IT event data classifier configured to label messages if message identifiers map directly to classification categories or parse for feature extraction if message identifiers do not map directly to classification categories

An autonomic event parser configured for association with a message adapter. An autonomic event parser can include a store of parsing rules, the parsing rules having a strategically specified order. Additionally, a pattern analyzer can be programmed to identify patterns of received messages and to recommend the strategically specified order of the parsing rules. Finally, a parsing rules manager can be communicatively coupled both to the pattern analyzer and the store of parsing rules, the parsing rules manager having a configuration for ordering the parsing rules in the store based upon the recommended order of the pattern analyzer.

Growing community of inventors

Raleigh, NC, United States of America

Abdolreza Salahshour