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RNAi is a naturally occurring, highly conserved phenomenon of RNA mediated gene silencing among the multicellular organisms. Currently, RNAi has been successfully applied in functional genomics, therapeutics and new drug target identification in mammals and other eukaryotes. The uniqueness lies in sequence specific gene knock down which made RNAi an indispensible technology. In the mechanism of RNAi,...
The main objective of sensor deployment problem in Wireless Sensor Network (WSN) is to use minimum number of sensor nodes with given sensing range that can cover any target in the coverage area to monitor the environment. The optimal sensor deployment enables accurate sensing information on target behavior with minimum sensing range and number of sensor nodes. The target coverage terrain in a locality...
NAND flash memories are the most widely used non-volatile memories, and data movement is common in flash storage systems. We study data movement solutions that minimize the number of block erasures, which are very important for the efficiency and longevity of flash memories. To move data among n blocks with the help of ?? auxiliary blocks, where every block contains m pages, we present algorithms...
This paper presents a new approach for solving network routing optimization problems. In particular, the goal is to optimize the traffic in the network structured event-driven systems as well as to provide means for efficient adaptation of the system to changes in the environment-i.e. when some nodes and/or links fail. Many network routing optimization problems belong to the class of NP hard problems,...
Multiprocessor task scheduling problem has become increasingly interesting, for both theoretical study and practical applications. Theoretical study of the problem has made significant progress recently. However, it seems not to imply practical algorithms for the problem yet. In this paper, the offline version of the Multiprocessor scheduling problem on m-processor system is discussed for the case...
Attribute reduction is an important issue in data mining and knowledge acquisition. It has been proven that computing all reductions and optimal (minimal) reduction is a NP-hard problem. This paper proposed a hybrid approach using the rough set theory and neighborhood systems for feature selection. Two neighborhood approximation operators are defined based on rough set. A neighborhood rough model...
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