Abstract: Embodiments of the present disclosure relate to a memory system and an operating method thereof. According to the embodiments of the present disclosure, the memory system may repeatedly execute, when entering a low power mode, iterations of a target operation according to a temperature of the memory system until a stop condition is satisfied. In this case, the target operation may be a garbage collection operation for the plurality of memory blocks or a migration operation of moving data stored in a first area including at least one of the plurality of memory blocks to a second area including at least one of the plurality of memory blocks. The operation speed of the memory block included in the first area may be higher than the operation speed of the memory block included in the second area.

Abstract: Embodiments of the present disclosure relate to a memory system and an operating method thereof. According to the embodiments of the present disclosure, the memory system may repeatedly execute, when entering a low power mode, iterations of a target operation according to a temperature of the memory system until a stop condition is satisfied. In this case, the target operation may be a garbage collection operation for the plurality of memory blocks or a migration operation of moving data stored in a first area including at least one of the plurality of memory blocks to a second area including at least one of the plurality of memory blocks. The operation speed of the memory block included in the first area may be higher than the operation speed of the memory block included in the second area.

Abstract: A memory system and an operating method thereof are provided. The memory system includes a buffer memory storing a plurality of meta-slices constituting meta-data, and a memory controller marking meta-slices being updated, among the plurality of meta-slices stored in the buffer memory, as dirty meta-slices, generating journal data including update information corresponding to the dirty meta-slices, and flushing the journal data together with one of the dirty meta-slices to a non-volatile memory device.

Abstract: A memory system and an operating method thereof are provided. The memory system includes a buffer memory storing a plurality of meta-slices constituting meta-data, and a memory controller marking meta-slices being updated, among the plurality of meta-slices stored in the buffer memory, as dirty meta-slices, generating journal data including update information corresponding to the dirty meta-slices, and flushing the journal data together with one of the dirty meta-slices to a non-volatile memory device.

Abstract: A memory system may include: a memory device; and a controller configured to: perform a read operation and an erase operation to the memory device; predict a first required time when a read command is received during the performing of the erase operation, the first required time being based on a sum including a first time required for the read operation in response to the read command and a second time required for the on-going erase operation; and determine whether to halt or continue the erase operation according to the first required time.

Abstract: a memory system may include: a memory device; and a controller configured to: perform a read operation and an erase operation to the memory device; predict a first required time when a read command is received during the performing of the erase operation, the first required time being based on a sum including a first time required for the read operation in response to the read command and a second time required for the on-going erase operation; and determine whether to halt or continue the erase operation according to the first required time.

Abstract: Provided are a method and an apparatus for analyzing a relation between a drug and a protein. Further, the present invention relates to drug repositioning. The method for analyzing a relation between a drug and a protein may include a protein location information inputting step of receiving protein location information representing a location where the protein included in a training data set is present in a cell, with regard to the training data set including at least one combination data of the drug and the protein having interrelation; and a classifier training step of training the classifier for determining a correlation between the drug and the protein by using the training data set based on protein feature information of the protein including the protein location information and drug feature information of the drug.

Abstract: Disclosed is a method for predicting cancer prognosis, comprising: forming gene pairs by using a plurality of genes to be tested; determining clusters for the formed gene pairs through a clustering method; calculating a distribution of each gene pair based on the determined cluster; and selecting reference gene pairs for determining a class based on the calculated distribution.

Abstract: Provided are a method and an apparatus for efficient Braille communication for vision-impaired people via a touch-sensitive terminal by providing a Braille keyboard environment via a touch display divided into 6 areas, determining an alphabet corresponding to a touch input with respect to at least one from among the 6 areas, displaying the determined alphabet, and outputting the determined alphabet into voice.

Abstract: A copy number variations detecting apparatus and method according to at least one embodiment of the present invention compare column vectors adjacent to each other on array comparative genomic hybridization data (aCGH data) and compartmentalize the aCGH data into a plurality of segments according to the comparison results, compare row vectors within the segments for each segment and reconfigure the segments into a predetermined number of clusters according to the comparison results, selectively determine the segments as a candidate copy number variation zone corresponding to a distribution form of the clusters for each segment, detect the CNVs within the candidate CNVZ for each sample, and perform merging and pruning on the candidate CNVZ(s) to obtain a final CNVZ(s).

Abstract: According to an embodiment of the present invention, it is possible to rapidly and accurately predict a class label of a predetermined test sample by extracting a disease-specific gene pair from gene pairs on a microarray data set representing an expression level for each of genes of a genome and for each of a plurality of samples by considering the correlation in a normal class and the correlation in a disease class, selecting a highest specific gene pair with the highest correlation among the extracted disease-specific genes, and predicting the class label of the predetermined test sample by using the selected highest specific gene pair.