A conflict de-escalation training system includes a reproducer of sound and images and at least one device adapted to detect speech, proximity, and movement of a human trainee relative to the reproducer. Database(s) store trigger event definitions and natural language understanding (NLU) rules. A trigger analyzer determines when one of the trigger event definitions is satisfied by trainee’s speech/actions. An intent analyzer ascertains intent of the trainee’s speech using the NLU rules. A compliancy state generator determines a state value based on at least one of the intent of the trainee’s speech, proximity, and movement. The state value indicates a level of compliance of an imaginary individual being subjected to the trainee’s speech/actions. An output generator generates facial images and speech responses for the imaginary individual based on the state value. The facial images and speech responses are provided to the reproducer for output thereby.

A conflict de-escalation training system includes a reproducer of sound and images and at least one device adapted to detect speech, proximity, and movement of a human trainee relative to the reproducer. Database(s) store trigger event definitions and natural language understanding (NLU) rules. A trigger analyzer determines when one of the trigger event definitions is satisfied by trainee’s speech/actions. An intent analyzer ascertains intent of the trainee’s speech using the NLU rules. A compliancy state generator determines a state value based on at least one of the intent of the trainee’s speech, proximity, and movement. The state value indicates a level of compliance of an imaginary individual being subjected to the trainee’s speech/actions. An output generator generates facial images and speech responses for the imaginary individual based on the state value. The facial images and speech responses are provided to the reproducer for output thereby.

The instant disclosure illustrates how the privacy and security of activities occurring on distributed ledger-based networks (DLNs) can be enhanced with the use of zero-knowledge proofs (ZKPs) that can be used to verify the validity of at least some aspects of the activities without private information related to the activities necessarily being revealed publicly. Methods and systems that are directed at facilitating the tracking and recovery of assets stolen on ZKP-enabled DLNs while preserving the confidentiality of the tokens are presented herein.

The present invention relates to an electronic voting system and an electronic voting method. The system for electronic voting includes an operation computer including at least one processor and a memory coupled to the processor, wherein the processor causes the system to: perform user authentication of voting participants who wish to participate in the online electronic voting; anonymize information of the voting participants whose the user authentication has been completed; give unique identification information to each of the voting participants who have completed anonymization process; and collect the voting information that the electronic voting has been conducted using the unique identification information given to the voting participants, and count the collected voting information as voting results.

The present invention relates to an electronic voting system and an electronic voting method. The system for electronic voting includes an operation computer including at least one processor and a memory coupled to the processor, wherein the processor causes the system to: perform user authentication of voting participants who wish to participate in the online electronic voting; anonymize information of the voting participants whose the user authentication has been completed; give unique identification information to each of the voting participants who have completed anonymization process; and collect the voting information that the electronic voting has been conducted using the unique identification information given to the voting participants, and count the collected voting information as voting results.

A data collection apparatus (1) according to the present disclosure includes: instruction data collection means (31a) for collecting instruction data representing an instruction that a leader has given to a subordinate, and first time information indicating a time at which the instruction was given, the subordinate being a person who works at a site, the leader being a person who leads the subordinate, and the instruction data and the first time information being data and information transmitted from a leader terminal (20) operated by the leader; site work data collection means (31b) for collecting site work data representing work performed by the subordinate at the site, and second time information indicating a time at which the site work data was detected, the site work data and the second time information being data and information transmitted from a subordinate terminal (11) carried by the subordinate.

A data collection apparatus (1) according to the present disclosure includes: instruction data collection means (31a) for collecting instruction data representing an instruction that a leader has given to a subordinate, and first time information indicating a time at which the instruction was given, the subordinate being a person who works at a site, the leader being a person who leads the subordinate, and the instruction data and the first time information being data and information transmitted from a leader terminal (20) operated by the leader; site work data collection means (31b) for collecting site work data representing work performed by the subordinate at the site, and second time information indicating a time at which the site work data was detected, the site work data and the second time information being data and information transmitted from a subordinate terminal (11) carried by the subordinate.

A system to quantify aggregate alignment of segmented text with an evaluator population, with a data processing system comprising memory and one or more processors, can segment a first extended text object into one or more evaluation text objects associated with a population reference, identify one or more text frame objects corresponding to the evaluation text objects, the text frame objects being associated with a second extended text object, generate, based on the text frame objects, one or more context identifier objects corresponding to the evaluation text objects, and generate a condensed text object including one or more of the evaluation text objects, the evaluation text objects being positioned in the condensed text object in response to output of a first machine learning model trained with input including at least one of the first extended text objects, the evaluation text objects, the context identifier objects, and the text frame objects.

Source localization method for rumor source based on full-order neighbor coverage strategy includes: constructing a network graph according to the user relationship in the actual target area; mapping an actual relationship into the network graph; determining sensors in the network graph, and deploying users corresponding to the sensors as observation users in an actual target area; executing a source inferring strategy when the number of the observation users in the actual target area who have received the rumor reaches an expected scale; calculating source likelihood score of non-sensor nodes in the network graph corresponding to the non-observation users in the actual target area; processing differentially the source likelihood scores; and outputting the non-observation user corresponding to the minimum source likelihood score as the source.

Methods and systems for automatically deploying an autonomous drone from a vehicle in response to a triggering event or accident so that data associated with the triggering event or accident may be automatically obtained are described. In one embodiment, a method for deploying an autonomous drone in response to a triggering event is described. The method includes providing an autonomous drone in a vehicle. The method also includes detecting a triggering event associated with the vehicle. Upon detection of the triggering event, the method includes automatically deploying the autonomous drone from the vehicle. The method further includes implementing, by the autonomous drone, a plurality of automatic actions, including recording data associated with the vehicle in which the autonomous drone is provided.