Hitachi, Ltd.

Wujuan Lin

Shoji Kodama

Kenta Shiga

Hirokazu Ikeda

Yoriko Kazama

Rajesh Vellore Arumugam

Kaushik Triyambaka Mysur

Hitoshi Kamei

Yutaka Kudo

Naoki Utsunomiya

Abeykoon Mudiyanselage Hunfuko Asanka Abeykoon

Bondan Setiawan

Su Hnin Wut Yi

Yang Yan

Quee Chee Ng

Pierre Niccolo Mamawal Fabi

Display screen with graphical user interface

Systems and methods to automate both emergency identification and emergency response to minimize response time while optimizing the dispatching of different types of first responders are provided. The system may include an automation system. The automation system may receive a plurality of data elements from a plurality of sensors. The automation system may extract a set of features from the plurality of data elements. The automation system may identify an emergency situation based on the set of features and a set of rules. The automation system may assess the priority of the emergency situation based on a set of data elements associated with the emergency situation and a set of policies. The automation system may select a responder in response to the identified emergency situation. The automation system may dispatch the selected responder to an area related to the identified emergency situation.

Methods and apparatus for automated surveillance systems

Embodiments provide a system for controlling HVAC/ACMV system of a building, including an occupancy pattern extractor configured to generate at least one facility-based occupancy pattern for each facility type based on historical occupancy data and spatial information of the building; a zone occupancy predictor configured to predict zone occupancy variation of each zone after a predetermined time period, based on the facility-based occupancy patterns and real-time occupancy data; a similar zone matcher configured to match each zone with one or more pre-stored zones and determine air handler configurations based on the matched pre-stored zones; a configuration generator configured to determine configuration combinations by combining the air handler configurations for a plurality of zones of the building, each configuration combination including one of the air handler configurations for each zone; and a configuration optimizer configured to determine an optimal configuration combination based on one or more key performance indicators.

System and method for controlling an HVAC system or an ACMV system of a building

According to various embodiments, there is provided a control arrangement for maintenance of a collection of physical devices, the control arrangement including: a receiver configured to receive observation data, the observation data representative of physical conditions of each physical device of the collection of physical devices; a processor configured to compute respective maintenance output data of maintaining different combinations of the physical devices, based on the observation data; and a controller configured to determine the combination of the physical devices to be maintained based on a comparison of the computed respective maintenance output data, the controller further configured to control maintenance of the determined combination of the physical devices.

Control arrangements for maintenance of a collection of physical devices and methods for controlling maintenance of a collection of physical devices

According to various embodiments, there is provided a passenger load prediction system including: a component configured to detect a wireless device carried by a passenger on a train or a train station platform, the train including a plurality of train cars; a passenger to train car mapper configured to determine a location of the passenger, based on a location of the wireless device; a destination predictor configured to predict a destination of the passenger, based at least in part on an identifier code of the wireless device; and a train car load level estimator configured to predict a respective passenger load of each train car of the plurality of train cars, based on the predicted destination and further based on the determined location of the passenger.

Passenger load prediction systems and methods for predicting passenger load

An aspect of the invention is directed to a plurality of MDSs (metadata servers) in a distributed storage system which includes data servers storing file contents, each MDS having a processor and a memory and storing file system metadata. Directories of a file system namespace are distributed to the MDSs through referral directories referring to real directories using hash value of inode number of each of the referral directories. During a process to create a directory in the file system namespace, a first MDS dynamically creates a referral directory in the first MDS, and creates a real directory in a second MDS, the referral directory in the first MDS referring to the real directory in the second MDS by maintaining location information of the real directory in the second MDS, the real directory in the second MDS containing the file system metadata for the directory in the file system namespace.

Directory-level referral method for parallel NFS with multiple metadata servers

An MDS (metadata server) in a distributed storage system includes data servers (DSs) storing file contents and one or more MDSs performing metadata operations in response to metadata requests of different types, the MDS including a controller having a processor and a memory, the MDS storing file system metadata. The controller is configured to: classify the metadata operations into different categories, which include a normal category and one or more special categories different from the normal category, the normal category having a primary stage which does not involve communication between the MDS and a component external to the MDS; for each special category, partition each metadata operation into a plurality of stages at least one of which involves communication between the MDS and a component external to the MDS; and dynamically assign resources to each of the partitioned stage based on monitored workloads of the different types of metadata requests.

System and method to maximize server resource utilization and performance of metadata operations

A distributed storage system employs a Key-Value Store to dynamically change a table layout scheme based on user access patterns. The system can be used as a basic architecture to construct a distributed Key-Value Store to support both row-oriented and column-oriented table layout schemes, by using DHT (Distributed Hash Table) technology for high scalability.

Data replication and failure recovery method for distributed key-value store

A global namespace (GNS) is constructed across heterogeneous network-attached storage (NAS) devices by organizing metadata servers into a cluster layer having cluster nodes and a consistent hashing overlay layer having overlay nodes. The global namespace is distributed based on workload at the cluster and overlay nodes, and a portion of the GNS namespace may be migrated from one layer to the other. Cluster nodes may be added to the cluster layer, overlay nodes may be added to the consistent hashing overlay layer. Further, a cluster node may become an overlay node or an overlay node may become a cluster node. To access the global namespace, a request for namespace metadata managed by a cluster node is serviced by the cluster node, but if the requested namespace metadata have been migrated to the consistent hashing overlay layer, the cluster node will forward the request to the responsible overlay node for servicing.

Metadata management method for NAS global namespace design

A geographically distributed storage system including a global Peer-To-Peer (P2P) ring and a local P2P ring. The global P2P ring includes all storage nodes and the local P2P ring includes a group of the storage nodes. Each of the group of storage node belongs to the global P2P ring and the local P2P ring and each storage node includes global and local management information. The global management information includes a node table for managing topology information of a network connecting the group, a metadata table for managing locations of stored data objects, and a global routing table for managing routing in the global P2P ring. The local management information includes an object management table for managing stored data objects in the group, a Logical Unit (LU) management table for managing logical units in the group and a local routing table used for managing routing in the local P2P ring.

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Singapore, Singapore

Wujuan Lin