Abstract:
The present invention discloses a cluster head assisted method for converting a user terminal from device-to-device (D2D) communication to cellular communication. When quality of a D2D link between a user terminal and a cluster head is lower than a predetermined threshold, if the user terminal has to leave the cluster but still expects to continue an original the service, the user terminal performs cell search and random access, and establishes a radio resource control (RRC) connection with a target base station of a cellular network. Switching from D2D communication to cellular communication is implemented with the assistance of the cluster head, and a communication manner after the switching is provided. The present invention implements mobile switching from D2D communication in distributed cluster communication to cellular communication, which can reduce route search delay and save wireless resources.
Abstract:
Provided are techniques for imputing a missing value for each of one or more predictor variables. Data is received from one or more data sources. For each of the one or more predictor variables, an imputation model is built based on information of a target variable; a type of imputation model to construct is determined based on the one or more data sources, a measurement level of the predictor variable, and a measurement level of the target variable; and the determined type of imputation model is constructed using basic statistics of the predictor variable and the target variable. The missing value is imputed for each of the one or more predictor variables using the data from the one or more data sources and one or more built imputation models to generate a completed data set.
Abstract:
Provided are techniques for imputing a missing value for each of one or more predictor variables. Data is received from one or more data sources. For each of the one or more predictor variables, an imputation model is built based on information of a target variable; a type of imputation model to construct is determined based on the one or more data sources, a measurement level of the predictor variable, and a measurement level of the target variable; and the determined type of imputation model is constructed using basic statistics of the predictor variable and the target variable. The missing value is imputed for each of the one or more predictor variables using the data from the one or more data sources and one or more built imputation models to generate a completed data set.
Abstract:
Provided are techniques for generating order statistics and error bounds. For each of multiple, distributed data sources, a finite number of data bins are created for each field in that data source. Data values in each of the multiple, distributed data sources are processed to generate basic summaries for each of the data bins in a single pass of the data values. The data bins from each of the multiple, distributed data sources are sorted. One or more approximate order statistics are computed for a data set by accumulating counts from a number of the sorted data bins. Lower and upper error bounds are provided for each of the computed one or more approximate order statistics, wherein the lower and upper error bounds are values delimiting an interval containing a true value of an order statistic.
Abstract:
Disclosed herein is a system and method for increasing the fidelity of measured genetic data, for making allele calls, and for determining the state of aneuploidy, in one or a small set of cells, or from fragmentary DNA, where a limited quantity of genetic data is available. Genetic material from the target individual is acquired, amplified and the genetic data is measured using known methods. Poorly or incorrectly measured base pairs, missing alleles and missing regions are reconstructed using expected similarities between the target genome and the genome of genetically related individuals. In accordance with one embodiment of the invention, incomplete genetic data from an embryonic cell are reconstructed at a plurality of loci using the more complete genetic data from a larger sample of diploid cells from one or both parents, with or without haploid genetic data from one or both parents. In another embodiment of the invention, the chromosome copy number can be determined from the measured genetic data of a single or small number of cells, with or without genetic information from one or both parents. In another embodiment of the invention, these determinations are made for the purpose of embryo selection in the context of in-vitro fertilization. In another embodiment of the invention, the genetic data can be reconstructed for the purposes of making phenotypic predictions.
Abstract:
A power generation system includes at least one generator having at least two sets of stator windings, an active rectifier comprising power cell based modular converters associated with each set of generator windings. Each set of windings is connected to an AC voltage side of the associated active rectifier, with each active rectifier having a positive DC voltage output and a negative DC voltage output. The DC voltage outputs of active rectifiers are connected to each other in series. A medium voltage DC (MVDC) collection network comprises positive pole cables and negative pole cables, wherein each positive pole cable is connected to the positive DC voltage output of a first active rectifier and each negative pole cable is connected to the negative DC voltage output of a last active rectifier. A substation receives the negative and positive pole cables of the MVDC collection network for further transformation and transmission.
Abstract:
The invention relates to an apparatus including at least one processor and at least one memory including a computer program code, the at least one memory and the computer program code con-figured to, with the at least one processor, cause the apparatus at least to: search for feasible component carriers by measurements, and if at least one feasible component carrier is found, take it into use; select at least one home node for negotiations for obtaining resources, the selection being based on the measurements, and negotiate for obtaining resources, if no feasible component carriers are found; take into use at least one feasible component carrier obtained based on the negotiations, if at least one feasible component carrier is obtained; and take into use at least one component carrier which is closest feasible, if no feasible component carriers are obtained.
Abstract:
A system for monitoring and controlling a load on a downhole component of a well drilling system is disclosed. The system includes: a downhole tool disposed in a drillstring and configured to be movable within a borehole, the drillstring configured to allow a drilling fluid to be advanced therethrough and into the borehole; at least one sensor disposed within the downhole tool for in-situ measurement of at least one physicochemical property of an environment surrounding the downhole tool; and a processor configured to monitor the at least one physicochemical property and at least one of i) provide physicochemical property information to a user during a drilling/steering operation, ii) adjust a load on the downhole component based on the environment information and iii) shut down the system in response to a detection of a measured physicochemical property beyond a selected threshold.
Abstract:
Disclosed is a method for transmitting a downlink pilot, which serves to solve the problem that the power of Orthogonal Frequency Division Multiplexing (OFDM) symbols is different due to Walsh codes. The method includes: transmitting a dedicated pilot in the Code Division Multiplexing (CDM) approach or in the combination approach of CDM and Frequency Division Multiplexing (FDM); further, in the resources for transmitting the dedicated pilot, configuring an orthogonal resources for the dedicated pilot according to a set mapping rule.
Abstract:
Provided are techniques for analyzing fields. Statistical metrics for each field in a data set are received. A general interestingness index is generated for each field using one or more combination functions that aggregate standardized interestingness sub-indexes. One or more fields are identified as interesting for further analysis using the general interestingness index. One or more expert recommendations for field transformations are constructed for the identified one or more fields.