Communications Internationales

Permanent URI for this collectionhttps://dspace.univ-boumerdes.dz/handle/123456789/11

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Author: search.filters.author.Brakta, NoureddineHas files: No

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    Document clustering analysis based on hybrid cuckoo search and K-means algorithm
    (IEEE, 2021) Boushaki, Saida Ishak; Bendjeghaba, Omar; Brakta, Noureddine
    The clustering is an interesting technique for unsupervised document organization in the World Wide Web (WWW). The most widely used partitioning clustering algorithm is K-means. However, it has an issue with random initialization, which might lead to local optimum situations. In fact, metaheuristics-based clustering has demonstrated their efficiency to reach a global solution instead of local one. The Cuckoo search (CS) has been widely used for the clustering problem. However, the number of iterations grows dramatically when the dataset is high dimensional like the documents. In this study, the hybridization cuckoo search and K-means algorithms for the document clustering are analyzed. So, three hybrid algorithms are investigated and compared. The performance and the efficiency of the proposed algorithms are evaluated using Reuters 21578 Text Categorization Benchmark Dataset. The obtained results show the capability of the new approaches to generate more compact clustering and enhancing purity and F-measure clustering qualities
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    Dips detection techniques discussion
    (IEEE, 2021) Brakta, Noureddine; Bendjeghaba, Omar; Yazid Zidani, Mohamed Yazid
    In today's industrial world, renewable energy represents 16% of the total produced and consumed energy. Wind energy is gaining popularity and imposing bigger footprint in the natural sources of electricity and plays a key building block for economic recovery from the impact of COVID-19 according to the Global wind Energy Council. Yet, because its presence in the energy resource share is below 5%, since most of the wind farms use Doubly Fed Induction Generator (DFIG) it will suffer from grids faults such as symmetric dips. The scary part of the dips is that it will increase the currents at the back-to-back converters and even when dealing with them oscillation might destroy the turbine and generator assembly. In this paper we will review techniques used to detect the dips and override the heavy increase of the current using a crowbar, we will concentrate only on the detection and compare the resulting parameters while keeping the controllers and the value of the crowbar resistance unchanged