The present invention relates to a cognitive function test server, including a communication interface, a memory; and a processor which is operably connected to the communication interface and the memory, and the processor is configured to provide a first sequence to acquire brainwave data of a user in a resting state by means of an HMD device, acquire baseline brainwave data of the user based on the first sequence, provide at least one second sequence related to a cognitive function by means of the HMD device, acquire input data and activated brainwave data based on the second sequence from the HMD device and an input device connected thereto, and generate a cognitive evaluation result of the user based on at least one of the reference brainwave data, the activated brainwave data, and the input data of the user.

Techniques for improving system performance based on data characteristics are disclosed. A system may receive updates to a first data set at a first frequency. The system selects a first storage configuration, from a plurality of storage configurations, for storing the first data set based on the first frequency, and stores the first data set in accordance with the first storage configuration. The system may further receive updates to a second data set at a second frequency. The system selects a second storage configuration, from the plurality of storage configurations, for storing the second data set based on the second frequency, and stores the second data set in accordance with the second storage configuration. The second storage configuration is different than the first storage configuration.

The present disclosure provides methods and Internet of Things (IoT) systems for gas repair-reporting management based on a call center of smart gas. The method includes obtaining historical gas use data and historical gas repair-reporting data; generating, based on the historical gas use data and the historical gas repair-reporting data, first gas repair-reporting areas; generating, at least based on the historical gas use data and the historical gas repair-reporting data of the first gas repair-reporting areas, future gas repair-reporting data of the first gas repair-reporting areas; generating, based on the first gas repair-reporting areas and the future gas repair-reporting data of the first gas repair-reporting areas, second gas repair-reporting areas and future gas repair-reporting data corresponding to the second gas repair-reporting areas; and generating, based on the future gas repair-reporting data of the second gas repair-reporting areas, a maintenance personnel arrangement plan.

The present disclosure provides methods and Internet of Things (IoT) systems for gas repair-reporting management based on a call center of smart gas. The method includes obtaining historical gas use data and historical gas repair-reporting data; generating, based on the historical gas use data and the historical gas repair-reporting data, first gas repair-reporting areas; generating, at least based on the historical gas use data and the historical gas repair-reporting data of the first gas repair-reporting areas, future gas repair-reporting data of the first gas repair-reporting areas; generating, based on the first gas repair-reporting areas and the future gas repair-reporting data of the first gas repair-reporting areas, second gas repair-reporting areas and future gas repair-reporting data corresponding to the second gas repair-reporting areas; and generating, based on the future gas repair-reporting data of the second gas repair-reporting areas, a maintenance personnel arrangement plan.

The present invention relates to a cognitive function test server, including a communication interface, a memory; and a processor which is operably connected to the communication interface and the memory, and the processor is configured to provide a first sequence to acquire brainwave data of a user in a resting state by means of an HMD device, acquire baseline brainwave data of the user based on the first sequence, provide at least one second sequence related to a cognitive function by means of the HMD device, acquire input data and activated brainwave data based on the second sequence from the HMD device and an input device connected thereto, and generate a cognitive evaluation result of the user based on at least one of the reference brainwave data, the activated brainwave data, and the input data of the user.

An alarm management system includes a control arrangement, an alarm device, a blockchain, a blockchain application, and a plurality of nodal access sites. The arrangement includes a processor and a storage medium. The device is configured to output an event signal to the control arrangement. The blockchain is stored in the medium, and includes a plurality of transaction types. Each transaction type includes at least one linked transaction, and the at least one linked transaction is time stamped. The blockchain application is stored in the medium, and is executed by the processor, and is configured to time stamp each one of the transactions. The blockchain is applied by the application to determine a current associated transaction with any one of the transaction types, and output data associated with the current transaction. The plurality of nodal access sites are configured to receive and output the data associated with the current transaction.

A gated truncated readout system for position sensitive or imaging detectors that improves resolution over traditional readout systems. The readout system includes two or more amplifiers that receive a multichannel output analog data from the detector. Analog gates control circuitry, included in the readout circuit, receives the signals from the amplifiers, determines a fractional value of the sum-integral of the signals, and enables analog gates operation around an area of interest, disabling all other channels where noise dominates the signal value and thereby improving interpolation accuracy of the signals centroid position and the detector resolution. Filtered signals are transmitted to a centroid interpolation signal processing device for computation of the centroid position. As a result disabling all channels where noise dominates the signal value, the gated truncated readout system provides better accuracy improved detector resolution.

A gated truncated readout system for position sensitive or imaging detectors that improves resolution over traditional readout systems. The readout system includes two or more amplifiers that receive a multichannel output analog data from the detector. Analog gates control circuitry, included in the readout circuit, receives the signals from the amplifiers, determines a fractional value of the sum-integral of the signals, and enables analog gates operation around an area of interest, disabling all other channels where noise dominates the signal value and thereby improving interpolation accuracy of the signals centroid position and the detector resolution. Filtered signals are transmitted to a centroid interpolation signal processing device for computation of the centroid position. As a result disabling all channels where noise dominates the signal value, the gated truncated readout system provides better accuracy improved detector resolution.

The present invention relates to a big data related script-based decision management system and method thereof that applies the Internet of Thing technology and adopts an open architecture for setting up a big data database. The big data database stores a plurality of data collected by a plurality of remote devices, wherein the data consists of a feature extracted from the operational statuses of a plurality of remote devices; an event that is formed by analyzing the feature; a script that stores the response strategy created based on the event; and a unit of analysis that produces a strategy result by comparing and analyzing the event and the script.

The present invention relates to a big data related script-based decision management system and method thereof that applies the Internet of Thing technology and adopts an open architecture for setting up a big data database. The big data database stores a plurality of data collected by a plurality of remote devices, wherein the data consists of a feature extracted from the operational statuses of a plurality of remote devices; an event that is formed by analyzing the feature; a script that stores the response strategy created based on the event; and a unit of analysis that produces a strategy result by comparing and analyzing the event and the script.