Abstract: The present disclosure provides a self-learning collaborative control method for active steering and yaw moment for a motor vehicle, including a first step of constructing fundamental formulas which are stored in a vehicle ECU, and a second step of calculating an active steering angle ?C and a yaw moment Mc on line by the vehicle ECU according to following sub-steps during a driving process of the motor vehicle, and controlling a driving state of the motor vehicle according to ?C and Mc. The second step includes a first sub-step of collecting raw real-time parameter values, a second sub-step of performing calculation by the identifier and the control target reference model, a third sub-step of calculating ?C and Mc. The present disclosure can realize the self-learning collaborative control of active steering and yaw moment without requiring a system control model and correct a driver's steering operation.

Abstract: Disclosed are an emergency control method and system based on source-load-storage regulation and cutback. According to the method, output power of power generating sources is regulated according to a power regulating quantity and a frequency regulation requirement, an output power compensation and output frequency of each power generating source are maintained within permissible ranges, so that a balance between power supply and demand of a power distribution network is maintained; and standby energy-storage power stations are used to make up a power gap, and an external power supply system is used to assist in making up a power deficiency, so that large load disturbance can be handled make up the power gap.

Abstract: A cross-domain cabin computing system and a cross-domain cabin computing method based on data resource distribution are provided, including: a cabin generation and management system obtains a data resource distribution map from a virtual data center system according to a cabin data and resource request, obtains a cross-domain resource directory from a cross-domain resource management system, and calculates a list of resource requirements of cabins; the cross-domain resource management system sends a resource request to a public cloud or a non-cloud resource to which resources belong based on the list of resource requirement of the cabins, and send information signaling that the resource request is successful to the cabin generation and management system to enable the cabin users to establish cabins based on cross-domain resources and data resources corresponding to the data resource distribution map, thereby realizing cabin computing.

Abstract: The present disclosure provides a new Internet virtual data center system and a method for constructing the same. The new Internet virtual data center system includes: an Internet data explorer to sample and estimate Internet data to generate a data resource distribution map, the data resource distribution map reflects attribute information of Internet data; an Internet virtual resource library to store data resource distribution map and sample data collected by the Internet data explorer; a data resource distribution map management module to manage data resource distribution map; and a data resource guidance service module to generate and provide guidance service for data collection and mining of a data demander according to data resource distribution map. The present disclosure overcomes the blindness and disorder of the big data collection and development of the existing data centers, and avoids waste of resources and energy.

Abstract: The present invention discloses a method and system configured for monitoring and verifying software behavior, comprising: receiving, by a software behavior verification system based on a physical hardware system, legal user behavior data containing user activities performed during legal electronic transactions and storing the legal user behavior data as a software behavior model; monitoring, by a software behavior monitor, data packets transmitted in a transaction, and sending data packets to the software behavior verification system; retrieving, by the behavior verification system, expected key sequences and information in the data packets; comparing the key sequences and information retrieved from the data packets with that of the software behavior model; if the key sequences and information retrieved from the data packets does not consistence with the software behavior model, it is determined that the transaction is an illegal electronic transactions, and the transaction is closed.

Abstract: Disclosed is a method for authenticating network transaction. The method comprises receiving, by an authentication center, a real-time user behavior during an electronic transaction; receiving, by the authentication center, a software behavior during the electronic transaction; performing, by the authentication center, a user verification of the real-time user behavior by comparing with a user behavior certificate maintained by the authentication center; performing, by the authentication center, a software verification of the software behavior by comparing with a software behavior certificate maintained by the authentication center; in response to a determination that the user verification fails or the software verification fails, terminating, by the authentication center, the electronic transaction.

Abstract: A method for mining user cyclic patterns comprises steps: S1: a user behavior recording module recording time of behaviors of each user; S2: a user behavior time sequence generation module performing batch processing to the behaviors of each user to generate a time sequence of the behaviors of the user by using day as time granularity; and S3: a user behavior cyclic pattern acquisition module generating time sequence cyclic patterns from the time sequence according to frequent patterns.

Abstract: A construction and analysis system of touch screen user keypress behavior pattern, and an identity recognition method thereof.

Abstract: System and methods for performing behavior consistency verification are described. The method may include receiving user behavior data containing user activities performed during electronic transactions. The method may include retrieving expected behavior data corresponding to the user behavior data. The method may include generating a behavior consistency measurement based on the user behavior data and the expected behavior data. The method may further include transmitting the behavior consistency measurement in response to the receiving of the user behavior data. The behavior consistency measurement indicates a degree of consistency between the user behavior data and the expected behavior data.

Abstract: The present invention discloses a method and system configured for monitoring and verifying software behavior, comprising: receiving, by a software behavior verification system based on a physical hardware system, legal user behavior data containing user activities performed during legal electronic transactions and storing the legal user behavior data as a software behavior model; monitoring, by a software behavior monitor, data packets transmitted in a transaction, and sending data packets to the software behavior verification system; retrieving, by the behavior verification system, expected key sequences and information in the data packets; comparing the key sequences and information retrieved from the data packets with that of the software behavior model; if the key sequences and information retrieved from the data packets does not consistence with the software behavior model, it is determined that the transaction is an illegal electronic transactions, and the transaction is closed.

Abstract: The present invention provides a system and a method for mining user cyclic patterns. In the system, a user behavior recording module is used for recording time of behaviors of each user; a user behavior time sequence generation module is used for performing batch processing to the behaviors of each user to form a time sequence of the behaviors of the user; a user behavior cyclic pattern acquisition module is used for generating cyclic patterns from the time sequence according to frequent patterns; and a user cyclic pattern storage module is used for receiving the cyclic patterns generated by the user behavior cyclic pattern acquisition module and storing the cyclic patterns in a database of the user cyclic pattern storage module.

Abstract: A construction and analysis system of touch screen user keypress behavior pattern, and an identity recognition method thereof.

Abstract: System and methods for performing behavior evaluation based on an immunity system is provided. A method may include receiving historical behavior data containing user activities performed in an electronic transaction. The method may include extracting normal transaction sequences and abnormal transaction sequences from the historical behavior data. The method may include storing the normal transaction sequences into a normal transaction library and the abnormal transaction sequences into an abnormal transaction library. The method may further include, in response to receiving a current behavior data, extracting a current transaction sequence from the current behavior data, and in response to a successful matching comparison of the current transaction sequence with an abnormal transaction sequence in the abnormal transaction library, transmitting a first abnormal evaluation result as a response to the receiving of the current behavior data.

Abstract: A clustering coefficient-based adaptive clustering method, according to the categories of extracted data point pairs and the magnitude of association relations between data points extracted each time, determining to which category the data points belong, and the number of the categories, and establishing association relations between the data points and association relations between the categories; pre-segmenting each category and calculating the intra-category similarities of two sub-categories and inter-category similarities of the two sub-categories, judging whether the two pre-segmented sub-categories satisfy a segmentation condition, if so, then accepting the pre-segmentation; if not, then canceling the pre-segmentation; calculating the intra-category similarities and inter-category similarities of two categories having an association relation, judging whether the two categories satisfy a merging condition, if so, then merging the two categories to generate a new category; if not, then abandoning the mer

Abstract: An immunization detection method for a user behavior mode in an electronic transaction process, comprising a data preprocessing step of mainly processing a user operation process into a sequence format and cleaning related repeated data; a training step of mainly calculating an age value of each sequence according to a time order and according to an age evolution process, deleting aged logs according to the age values and extracting a normal sequence library; a detection step of mainly detecting whether a newly generated transaction sequence is mutated or not; and an updating step of updating age values of selves and non-selves in time according to a detection result and updating a related library set. The method is oriented to abnormal situations in the electronic transaction process, which may be misoperation by users.

Abstract: A clustering coefficient-based adaptive clustering method, according to the categories of extracted data point pairs and the magnitude of association relations between data points extracted each time, determining to which category the data points belong, and the number of the categories, and establishing association relations between the data points and association relations between the categories; pre-segmenting each category and calculating the intra-category similarities of two sub-categories and inter-category similarities of the two sub-categories, judging whether the two pre-segmented sub-categories satisfy a segmentation condition, if so, then accepting the pre-segmentation; if not, then canceling the pre-segmentation; calculating the intra-category similarities and inter-category similarities of two categories having an association relation, judging whether the two categories satisfy a merging condition, if so, then merging the two categories to generate a new category; if not, then abandoning the mer

Abstract: A system and method for authenticating network transaction trustworthiness, a bottom layer of the system supports two mainstream operating systems, i.e., Windows and Linux; basic management modules, i.e., respectively a communication management module, a certificate management module and a database management module are above the bottom layer support; a fourth-party authentication domain is above the foundation management modules; a user domain, an E-merchant domain, a third-party payment domain and the like are also provided.

Abstract: A method for measuring user behavior consistency degree based on a complex correspondence system, which is applied to internet payment platform security. An entire solution is divided into three stages: at a first stage, analyzing complex correspondence relation characteristics according to an existing user behavior model; at a second stage, establishing a behavior profile according to user behavior characteristics and establishing user behavior relation matrixes; and at a third stage, completing user behavior matrix decomposition according to the complex correspondence characteristics of a user, calculating a user behavior consistency degree and detecting a degree of consistency between user behaviors and expected behaviors.

Abstract: The present invention relates to a software behavior monitoring and verification system, which is composed of three parts including a software behavior certificate, a three-party software behavior monitor, and a real-time software behavior verification system.