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Condition monitoring (CM) is a process which monitors the condition of equipment throughout its serviceable life in order to opt for Predictive Maintenance (PdM). This approach is based on the equipment's condition to determine at which point during future maintenance activities will be necessary. Implementing PdM will result in substantial cost savings and higher system reliability. This paper is...
This paper presents a gravitational search algorithm (GSA) method for voltage control, which reduces transmission losses by adjusting the reactive power variables, such as generator voltages and other sources of reactive power, such as capacitor banks, and provides better system voltage profile. The objective function of the proposed method is to minimize active power losses in transmission line....
Recently, there has been great interest in Bioinformatics among researches from various disciplines such as computer science, mathematics, statistics and artificial intelligence. Bioinformatics mainly deals with solving biological problems at molecular levels. One of the classic problems of bioinformatics which has gain a lot attention lately is Haplotyping, the goal of which is categorizing SNP-fragments...
One of the challenges for resource discovery in unstructured peer to peer grid is the minimizing of network traffic that is produced by query messages which are broadcasted to other nodes to find appropriate resources in the grid. These methods do not work well because each specific query generates a large amount of network traffic, and network is quickly saturated by the query messages. This study...
Computational complexity is a problem faced in the frequency spectrum auction and is called the Winner Determination Problem. The complexity increases when the object auction increases and partitioned into groups of objects based on some pre-defined zone. With the zoning scheme, there are three alternative determination of winners, the bidders get the whole object of auction at the entire zone (also...
The microbial world represents the most important and diverse group of organisms living on earth. Because of this huge microbial bio complexity, high-throughput molecular tools allowing simultaneous analysis of existing populations are well adapted. Oligonucleotide micro array technologies have been widely used for gene detection and gene expression quantification, and more recently, they have been...
Most positions of the human genome are typically invariant (99%) and only some positions (1%) are commonly invariant which are associated with complex genetic diseases. Haplotype reconstruction problem divide aligned single nucleotide polymorphism (SNP) fragments into two classes and infer a pair of haplotypes from them. An important computational model of this problem is minimum error correction...
Reconstructing haplotype in MEC (Minimum Error Correction) model is an important clustering problem which focuses on inferring two haplotypes from SNP fragments (Single Nucleotide Polymorphism) containing gaps and errors. Mutated form of human genome is responsible for genetic diseases which mostly occur in SNP sites. In this paper, genetic algorithm (GA) is considered as a classifier of diploid genomes...
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