I. Adumbabu^1,*, K. Selvakumar²

Intelligent Automation & Soft Computing, Vol.35, No.2, pp. 1939-1956, 2023, DOI:10.32604/iasc.2023.029489

Abstract A wireless sensor network (WSN) is made up of sensor nodes that communicate via radio waves in order to conduct sensing functions. In WSN, the location of the base station is critical. Although base stations are fixed, they may move in response to data received from sensor nodes under specific conditions. Clustering is a highly efficient approach of minimising energy use. The issues of extending the life of WSNs and optimising their energy consumption have been addressed in this paper. It has been established that integrating mobile sinks into wireless sensor networks extends their longevity. Thus, this research proposes an… More >

K. Ezhilarasi^1,*, G. Maria Kalavathy²

Computer Systems Science and Engineering, Vol.41, No.2, pp. 569-582, 2022, DOI:10.32604/csse.2022.020280

Abstract Ontology is the progression of interpreting the conceptions of the information domain for an assembly of handlers. Familiarizing ontology as information retrieval (IR) aids in augmenting the searching effects of user-required relevant information. The crux of conventional keyword matching-related IR utilizes advanced algorithms for recovering facts from the Internet, mapping the connection between keywords and information, and categorizing the retrieval outcomes. The prevailing procedures for IR consume considerable time, and they could not recover information proficiently. In this study, through applying a modified neuro-fuzzy algorithm (MNFA), the IR time is mitigated, and the retrieval accuracy is enhanced for trouncing the… More >

KHESLLER PATRÍCIA OLAZIA^1,2, JULIANA SOUZA DA SILVA¹, GUILHERME SIRIMARCO DE SOUZA TONELLI¹, SÔNIA NAIR BÁO^1,*

BIOCELL, Vol.46, No.1, pp. 275-283, 2022, DOI:10.32604/biocell.2022.016603

Abstract In this study, the sperm ultrastructure of three species of Idarnes genus was investigated using light and transmission electron microscopy. Spermatozoon morphology of the three species was similar to that of most Chalcidoidea, with helicoidally twisted nucleus and flagellum. The head region consists of an acrosome and a nucleus; the nucleus-flagellum transition region characterized by the presence of mitochondrial derivatives and the centriolar adjunct; a flagellum region, which includes the axoneme with microtubular arrangement 9 + 9 + 2 and two mitochondrial derivatives. However, the sperm of these three species exhibit features that discriminate one species from each other: (1)… More >

Amit Kumar Bhardwaj¹, Lalit Garg^2,*, Arunesh Garg¹, Yuvraj Gajpal³

CMC-Computers, Materials & Continua, Vol.66, No.3, pp. 2471-2492, 2021, DOI:10.32604/cmc.2021.014099

Abstract In the COVID-19 pandemic situation, the need to adopt cloud computing (CC) applications by education institutions, in general, and higher education (HE) institutions, in particular, has especially increased to engage students in an online mode and remotely carrying out research. The adoption of CC across various sectors, including HE, has been picking momentum in the developing countries in the last few years. In the Indian context, the CC adaptation in the HE sector (HES) remains a less thoroughly explored sector, and no comprehensive study is reported in the literature. Therefore, the aim of the present study is to overcome this… More >

Guorong Cui, Hao Li, Yachuan Zhang, Rongjing Bu, Yan Kang^*, Jinyuan Li, Yang Hu

Journal of Quantum Computing, Vol.2, No.2, pp. 85-95, 2020, DOI:10.32604/jqc.2020.09717

Abstract The traditional K-means clustering algorithm is difficult to determine the cluster number, which is sensitive to the initialization of the clustering center and easy to fall into local optimum. This paper proposes a clustering algorithm based on self-organizing mapping network and weight particle swarm optimization SOM&WPSO (Self-Organization Map and Weight Particle Swarm Optimization). Firstly, the algorithm takes the competitive learning mechanism of a self-organizing mapping network to divide the data samples into coarse clusters and obtain the clustering center. Then, the obtained clustering center is used as the initialization parameter of the weight particle swarm optimization algorithm. The particle position… More >

Pérez Cuadra V y V Cambi

Phyton-International Journal of Experimental Botany, Vol.79, pp. 69-76, 2010, DOI:10.32604/phyton.2010.79.069

Abstract Pappophorum phillippianum and Trichloris crinita grow in areas where traditional forages cannot establish. They are not food resources for excellence, but have some nutritional value to domestic livestock. Leaves and stems collected in a natural halophytic field were treated using current techniques for describing their epidermic and anatomical characteristics. Blades of both species have papillose adaxial epidermis, and it is also the case for the abaxial epidermis in T. crinita. Silica bodies are double-axe shaped or cross shaped. Both species show foliar glandular and eglandular trichomes. Only T. crinita shows prickles. Anatomically, both species show groups of fibers in the… More >