Abstract: Embodiments of the present application provide a decoding method and a decoding device. The decoding device receives a second code word, which is transmitted from an encoding device based on a first code word. The first code word is generated by the encoding device based on a first encoded data sequence. After determining that a second encoded data sequence based on the second code word is not a correct replica of the first encoded data sequence, the decoding device performs a series of code element update processes to determining the correct replica of the first encoded data sequence.

Abstract: A data processing method based on a quasi-cyclic LDPC includes: when a size of service data is less than a magnitude of information bit of the quasi-cyclic LDPC, calculating a difference value between the magnitude of the information bit of the quasi-cyclic LDPC and the size of the service data, and filling the service data with the same amount of known data as the difference value (S103); coding the filled service data to obtain redundancy check data corresponding to the service data (S104); and sending the service data and the redundancy check data to a corresponding physical location in the storage unit (S105). It ensures that when a code length of the quasi-cyclic LDPC is constant, the code length ideally adapts to internal space of the storage unit, and the quasi-cyclic LDPC has a relatively high error correction capability, thereby improving reliability and service life of the storage unit.

Abstract: One embodiment of the present invention provides a system for characteristics-based message delivery. During operation, the system receives activity data associated with a user, and infers a characteristic profile associated with the user based on the received activity data. The system further receives a plurality of messages, estimates the user's preference for the messages based on the inferred characteristic profile and content of the messages, selects a message from the plurality of messages based on the user's preference and a pre-determined bidding price associated with the message and the characteristic profile, and delivers the selected message to the user.

Abstract: Embodiments of the present disclosure provide a decoding method of a polar code, including: acquiring a receiving sequence and a check matrix, wherein the receiving sequence is output on a channel after an input mapping sequence is encoded; carrying out Trellis path search according to the receiving sequence and the check matrix, and calculating Trellis path likelihood information corresponding to the input mapping sequence; calculating a decision value corresponding to the input mapping sequence according to the Trellis path likelihood information; and de-mapping the calculated decision value corresponding to the input mapping sequence according to a preset mapping relation to obtain a decoding sequence. The input mapping sequence belongs to a finite field GF(q), when decoding the polar code, the Trellis path search is carried out, and the decision value is calculated and de-mapped to simultaneously reduce a maximum list value and greatly reduce an average list value.

Abstract: An encoding method and apparatus is described. In an encoding method, when a first target sub-block in a target block is obtained, a hash operation is first performed on the first target sub-block. Then, a first hash table is queried for a corresponding hash value according to an operation result, and a corresponding location in a reference block is found according to the hash value obtained by means of query, that is, first reference data is found. The first piece of target data in the first target sub-block is matched with the first reference data, and second target data in the target block is matched with second reference data in the reference block. In this way, an approximate location is predetermined, so that a range in which matching needs to be performed is narrowed, a data compression time is reduced, and data compression efficiency is improved.

Abstract: A system and method of selecting on-line advertisements in a real-time bidding exchange is disclosed. A bid request associated with a first data set is received. Advertisements are filtered based on each advertisement's campaign constraints as applied to the first data set. A heuristic score for each filtered advertisement is determined based on a small subset of features from the first data set or randomly generated. A bid value is then determined based on a substantial number of the features from the first data set only for each of a top fraction of filtered the advertisements that have the highest heuristic scores. A final bid value and its associated advertisement is selected and sent to a sender of the bid request for presenting in an on-line advertisement space as an impression.

Abstract: This application discloses a storage controller. When running, the storage controller encodes, according to a check matrix, K to-be-coded data chunks obtained from a client, to generate two check chunks. In this way, if any chunk is damaged subsequently, the damaged chunk may be recovered by using the check matrix and an undamaged chunk.

Abstract: One embodiment of the present invention provides a system for selecting a set of nodes to maximize information spreading. During operation, the system receives a budget constraint and a population sample, constructs a social network associated with the population sample, analyzes a network graph associated with the social network to obtain structural information associated with a node within the social network, estimates characteristics associated with the node, and selects the set of nodes that maximizes the information spreading under the budget constraint based on the structural information and the characteristics associated with the node.

Abstract: A method (1100) for cross-polarization interference power suppression in dual-polarization radio communication systems includes: filtering (1101) a vertical polarization component (xV(n)) and a horizontal polarization component (xH(n)) of a received dual-polarization channel signal by a 2×2 channel weights matrix (507, 508); and determining (1102) the 2×2 channel weights matrix (507, 508) based on a minimum variance distortionless response criterion.

Abstract: This application discloses a storage controller. When running, the storage controller encodes, according to a check matrix, K to-be-coded data chunks obtained from a client, to generate two check chunks. In this way, if any chunk is damaged subsequently, the damaged chunk may be recovered by using the check matrix and an undamaged chunk.

Abstract: A flash memory error correction method and apparatus is provided. The method includes determining a first data bit in a flash memory page, where the first data bit corresponds to different data respectively in the data obtained by reading the flash memory page using the (n+1)th read voltage threshold and the data obtained by reading the flash memory page using the mth read voltage threshold; and then reducing a confidence level of the first data bit in the data obtained by reading the flash memory page using the (n+1)th read voltage threshold; and performing, according to an adjusted confidence level of the first data bit, error correction decoding on the data obtained by reading the flash memory page using the (n+1)th read voltage threshold. Present disclosure effectively improves a success rate of error correction decoding, thereby significantly improving performance of an SSD storage system.

Abstract: Embodiments of the present application provide a decoding method and a decoding device. The decoding device receives a second code word, which is transmitted from an encoding device based on a first code word. The first code word is generated by the encoding device based on a first encoded data sequence. After determining that a second encoded data sequence based on the second code word is not a correct replica of the first encoded data sequence, the decoding device performs a series of code element update processes to determining the correct replica of the first encoded data sequence.

Abstract: An encoding method and apparatus is described. In an encoding method, when a first target sub-block in a target block is obtained, a hash operation is first performed on the first target sub-block. Then, a first hash table is queried for a corresponding hash value according to an operation result, and a corresponding location in a reference block is found according to the hash value obtained by means of query, that is, first reference data is found. The first piece of target data in the first target sub-block is matched with the first reference data, and second target data in the target block is matched with second reference data in the reference block. In this way, an approximate location is predetermined, so that a range in which matching needs to be performed is narrowed, a data compression time is reduced, and data compression efficiency is improved.

Abstract: A computer-implemented system and method for determining an appropriate time for providing a message to a driver are provided. A message is received for a driver of a motor vehicle. Movement of the motor vehicle is monitored, and a familiarity of the movement to the driver is determined. Data sensed by the motor vehicle is obtained, and a cognitive load of the driver is calculated based on the familiarity of the movement and the sensed data. The message is provided to the driver when the calculated cognitive load is low.

Abstract: A system and method for prioritizing messages based on message importance is provided. Messages from one or more senders are received for a recipient. For each message, an identity of the sender is determined. A determination is made as to whether each message includes a request for an action to be performed. Also, a length of time required to read that message is determined for each message. An importance value for each message is then calculated based on the identity of the sender, whether a request is included in the message, and the length of time to read the message. Those messages with high importance values are identified as high priority messages and are provided to the recipient.

Abstract: The patent application relates to a method for recovering a sparse communication signal from a receive signal, the receive signal being a channel output version of the sparse communication signal, the channel comprising channel coefficients being arranged to form a channel matrix, the method comprising determining a support set indicating a set of first indices of non-zero communication signal coefficients from the channel matrix and the receive signal, determining an estimate of the sparse communication signal upon the basis of the support set, the channel matrix and the receive signal, determining second indices of communication signal coefficients which are not indicated by the support set, and determining the sparse communication signal upon the basis of the support set, the estimate of the sparse communication signal, the second indices and the channel matrix.

Abstract: A quitting-intention estimating system facilitates detecting an entity's intention to quit an organization. During operation, the system obtains recent electronic-communication information associated with the entity under investigation, such as an employee of a corporation, or a volunteer of a non-profit organization. The system can determine the entity's quitting intention by determining a plurality of recent communication features from the electronic-communication information, for example, by using a variety of feature-extracting modules that extract the features from the entity's electronic communications. The system then computes a quitting-intention value for the entity under investigation, using a quitting-intention estimating function that takes the recent communication features as input.

Abstract: A wireless receiver being capable of determining its velocity with respect to a number of wireless transmitters is provided. The wireless receiver includes a communication interface for receiving a number of carrier signals originating from the number of wireless transmitters, and a processor being configured to determine a number of carrier phases of the carrier signals at two different time instants, to determine a number of carrier phase differences from the determined number of carrier phases for each carrier signal between the two different time instants, to determine a location matrix indicating a geometric relationship between a location of the wireless receiver and a number of locations of the number of transmitters, and to determine the velocity of the wireless receiver upon the basis of the number of carrier phase differences and the location matrix.

Abstract: A data processing method based on a quasi-cyclic LDPC includes: when a size of service data is less than a magnitude of information bit of the quasi-cyclic LDPC, calculating a difference value between the magnitude of the information bit of the quasi-cyclic LDPC and the size of the service data, and filling the service data with the same amount of known data as the difference value (S103); coding the filled service data to obtain redundancy check data corresponding to the service data (S104); and sending the service data and the redundancy check data to a corresponding physical location in the storage unit (S105). It ensures that when a code length of the quasi-cyclic LDPC is constant, the code length ideally adapts to internal space of the storage unit, and the quasi-cyclic LDPC has a relatively high error correction capability, thereby improving reliability and service life of the storage unit.

Abstract: One embodiment of the present invention provides a system for detecting anomalous correlations between public and private activities of a user. During operation, the system collects public and private activity data associated with the user. The system generates a series of feature pairs, each feature pair including a public feature vector and a private feature vector generated from the activity data. Each respective feature pair corresponds to a respective point in time. The system generates a model to determine whether there is an anomaly in a correlation between the user's public and private activity data. The model is associated with a normal correlation between the user's public and private activity data over a period of time. The system collects additional public and private activity data and applies the model to determine whether there is an anomaly. The system may issue an alert in response to detecting an anomaly.