International Business Machines Corporation

Kazuhito Akiyama

Tadashi Tsumura

Hiroya Ogihara

Sanehiro Furuichi

Gaku Yamamoto

Yasutaka Nishimura

Mari Abe Fukuda

Taku Sasaki

Asuka Unno

Yasuhiro Suzuki

Masami Tada

Akira Ohkado

Michiharu Kudo

Naohiko Uramoto

Kazuo Iwano

John David Wilson

Yasuhisa Gotoh

Hirobumi Toyoshima

Hitomi Takahashi

Takuya Mishina

Yukihiko Sohda

Yasuhide Niimura

Sugio Ishii

Seiji Kobayashi

Eisuke Kanzaki

Yohkichi Sasatani

Shinkichi Hamada

Takeshi Fukuda

Takeshi Akamatsu

Nobuhiro Asai

Makoto Kogoh

Takashi Terao

Yumi Kino

An embodiment of the invention may include a method, computer program product and computer system for managing mobile objects. The embodiment may manage, by a first computing system, a plurality of mobile objects moving within a geographic space. Managing the plurality of mobile objects may assisting with movement of the plurality of mobile objects. The embodiment may determine whether a first mobile object among the plurality of mobile objects is a real mobile object based on a first sensor information received from the first mobile object. The embodiment may use information received from the first mobile object in managing the plurality of mobile objects moving within the geographic space based on determining that the first mobile object is the real mobile object.

Management of mobile objects

An embodiment of the invention may include a method, computer program product and computer system for managing mobile objects. The embodiment may identify, by an event agent (EA), an event occurring in a geographic space in which a plurality of mobile objects move. The embodiment may include determining the event is an expected event based on predicting time-series changes of the event handled by the EA. The embodiment may manage the one mobile object based on the expected event.

An embodiment of the invention may include a method, computer program product and computer system for managing mobile objects. The embodiment may acquire, by a first acquiring section, measurement data obtained by a first mobile object measuring the first mobile object, using a sensor of the first mobile object. The embodiment may acquire, by a second section, data obtained by a second mobile object detecting the first mobile object in response to a request from outside, using a sensor of the second mobile object. The embodiment may verify, by a verifying section, a validity of the measurement data using the detection data.

A method for stream-processing data including a missing part in real time and thereafter updating the result of the stream processing. A technique for processing data is included. The technique includes receiving data; detecting a probably missing part in the received data while stream-processing the received data in real time; and comparing master data corresponding to the received data and having no missing part with the probably missing part, and if the received data has the missing part, updating the result of the stream processing using the master data.

Stream-processing data

An embodiment of the invention may include a method, computer program product and computer system for managing mobile objects. The embodiment may identify, by an event agent (EA), an event occurring in a geographic space in which a plurality of mobile objects move. The embodiment may determine the event is an expected event based on predicting time-series changes of the event handled by the EA. The embodiment may manage, by a predictive environment agent (PEA), the expected event.

There is provided a system having a plurality of information processing apparatuses, each of which includes a storage device where at least one piece of pattern data indicating an occurrence pattern of events to be detected in the information processing apparatus is stored, a generation section that specifies a collection of events to be detected in the occurrence pattern based on the pattern data read from the storage device and generates necessary event data indicating the specified collection of events, a selection section that selects an event included in the necessary event data from events which have occurred in the information processing apparatus and events transferred from another information processing apparatus, and a detection section that detects if the selected event matches with the occurrence pattern indicated by the pattern data, and outputs a detection result.

Detecting patterns of events in information systems

Phenomenon data for at least one moving phenomenon that affects travel on at least one roadway can be received. An impact distribution for the phenomenon over a plurality of phenomenon cells can be determined and corresponding phenomenon impact distribution data can be generated. For at least one vehicle, a plurality of candidate routes for the vehicle to reach an intended destination can be determined. For each candidate route, whether the candidate route intersects with at least phenomenon cell impacted by the phenomenon can be determined. If so, a vehicle simulation agent for that vehicle and that candidate route can be initialized. Using the vehicle simulation agent, an impact of the phenomenon on the vehicle can be determined based on the phenomenon impact distribution data. Data indicating the impact of the phenomenon on travel of the vehicle if the vehicle were to travel along the respective the route can be output.

Predicting an impact of a moving phenomenon on a travelling vehicle

A method is for handling an anomaly in an industrial control system (ICS) connected to a network with a plurality of other ICSs and an anomaly analyzer. An ICS receives status data from its own industrial process, and stores this status data as normal pattern data. The ICS transmits its own status data to one or more other ICSs. The ICS receives an indication from the anomaly analyzer that the ICS is suspected of having an anomaly. The ICS transmits alternate status data based on the normal pattern data stored during non-suspect operation, and stores the status data received from its own industrial process as real status data. In response to receiving from the anomaly analyzer an indication that the ICS is not operating anomalously, the ICS transmits the stored real data, and switches back to transmitting its own status data to one or more other ICSs.

Anomaly detection system, anomaly detection method, and program for the same

A method for notifying a mobile body that the mobile body is approaching a particular area comprising calculating a plurality of areas where the mobile body may arrive on the basis of dynamic map information; calculating, for each event occurring in the plurality of areas, an arriving probability of arriving at a region affected by the event; extracting an avoidance position for enabling the mobile body to avoid arriving at the region affected by the event; calculating an encountering probability of meeting the region affected by the event on the basis of a reliability of the event, the arriving probability, and the avoidance position, and notifying the mobile body of the encountering probability.

Notifying a mobile body that the mobile body is approaching particular area

Event data pattern identification, storage, and sharing in a peer-to-peer network is disclosed. This includes peer-to-peer devices that store data events, review previously stored data events and identify patterns between the stored events and newly received events. Improvements can serve to reduce duplicative traffic and enhance network performance.

Growing community of inventors

Tokyo, Japan

Kazuhito Akiyama