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Search Results (11)
  • Open Access

    ARTICLE

    Improved IChOA-Based Reinforcement Learning for Secrecy Rate Optimization in Smart Grid Communications

    Mehrdad Shoeibi1, Mohammad Mehdi Sharifi Nevisi2, Sarvenaz Sadat Khatami3, Diego Martín2,*, Sepehr Soltani4, Sina Aghakhani5

    CMC-Computers, Materials & Continua, Vol.81, No.2, pp. 2819-2843, 2024, DOI:10.32604/cmc.2024.056823 - 18 November 2024

    Abstract In the evolving landscape of the smart grid (SG), the integration of non-organic multiple access (NOMA) technology has emerged as a pivotal strategy for enhancing spectral efficiency and energy management. However, the open nature of wireless channels in SG raises significant concerns regarding the confidentiality of critical control messages, especially when broadcasted from a neighborhood gateway (NG) to smart meters (SMs). This paper introduces a novel approach based on reinforcement learning (RL) to fortify the performance of secrecy. Motivated by the need for efficient and effective training of the fully connected layers in the RL… More >

  • Open Access

    ARTICLE

    Bronchoalveolar lavage fluid metagenomic next-generation sequencing assay for identifying pathogens in lung cancer patients

    JIYU WANG1,2, HUIXIA LI1,2, DEYUAN ZHOU1,2, LIHONG BAI1,2, KEJING TANG1,2,3,*

    BIOCELL, Vol.48, No.4, pp. 623-637, 2024, DOI:10.32604/biocell.2024.030420 - 09 April 2024

    Abstract Background: For patients with lung cancer, timely identification of new lung lesions as infectious or non-infectious, and accurate identification of pathogens is very important in improving OS of patients. As a new auxiliary examination, metagenomic next-generation sequencing (mNGS) is believed to be more accurate in diagnosing infectious diseases in patients without underlying diseases, compared with conventional microbial tests (CMTs). We designed this study to find out whether mNGS has better performance in distinguishing infectious and non-infectious diseases in lung cancer patients using bronchoalveolar lavage fluid (BALF). Materials and Methods: This study was a real-world retrospective review… More >

  • Open Access

    ARTICLE

    A Sound Quality Evaluation Method for Vehicle Interior Noise Based on Auditory Loudness Model

    Zhiheng He1, Hui Guo2, Houguang Liu1,*, Yu Zhao1,3, Zipeng Zhang1, Shanguo Yang1

    Sound & Vibration, Vol.58, pp. 47-58, 2024, DOI:10.32604/sv.2024.045470 - 27 February 2024

    Abstract When designing and optimizing the hull of vehicles, their sound quality needs to be considered, which greatly depends on the psychoacoustic parameters. However, the traditional psychoacoustic calculation method does not consider the influence of the real human ear anatomic structure, even the loudness which is most related to the auditory periphery. In order to introduce the real physiological structure of the human ear into the evaluation of vehicle sound quality, this paper first carried out the vehicle internal noise test to obtain the experimental samples. Then, the physiological loudness was predicted based on an established More >

  • Open Access

    ARTICLE

    SCChOA: Hybrid Sine-Cosine Chimp Optimization Algorithm for Feature Selection

    Shanshan Wang1,2,3, Quan Yuan1, Weiwei Tan1, Tengfei Yang1, Liang Zeng1,2,3,*

    CMC-Computers, Materials & Continua, Vol.77, No.3, pp. 3057-3075, 2023, DOI:10.32604/cmc.2023.044807 - 26 December 2023

    Abstract Feature Selection (FS) is an important problem that involves selecting the most informative subset of features from a dataset to improve classification accuracy. However, due to the high dimensionality and complexity of the dataset, most optimization algorithms for feature selection suffer from a balance issue during the search process. Therefore, the present paper proposes a hybrid Sine-Cosine Chimp Optimization Algorithm (SCChOA) to address the feature selection problem. In this approach, firstly, a multi-cycle iterative strategy is designed to better combine the Sine-Cosine Algorithm (SCA) and the Chimp Optimization Algorithm (ChOA), enabling a more effective search… More >

  • Open Access

    ARTICLE

    Twitter Data Analysis Using Hadoop and ‘R’ and Emotional Analysis Using Optimized SVNN

    K. Sailaja Kumar*, H. K. Manoj, D. Evangelin Geetha

    Computer Systems Science and Engineering, Vol.44, No.1, pp. 485-499, 2023, DOI:10.32604/csse.2023.025390 - 01 June 2022

    Abstract Standalone systems cannot handle the giant traffic loads generated by Twitter due to memory constraints. A parallel computational environment provided by Apache Hadoop can distribute and process the data over different destination systems. In this paper, the Hadoop cluster with four nodes integrated with RHadoop, Flume, and Hive is created to analyze the tweets gathered from the Twitter stream. Twitter stream data is collected relevant to an event/topic like IPL- 2015, cricket, Royal Challengers Bangalore, Kohli, Modi, from May 24 to 30, 2016 using Flume. Hive is used as a data warehouse to store the… More >

  • Open Access

    ARTICLE

    Étude observationnelle des comportements familiaux durant la phase palliative terminale

    A. Van Lander, A. Bioy, V. Guastella

    Psycho-Oncologie, Vol.16, No.2, pp. 234-242, 2022, DOI:10.3166/pson-2022-0196

    Abstract Accompagner l’entourage d’un patient atteint de maladie grave, évolutive ou terminale est une obligation légale (loi 99, art. L. 1er B) et nécessite des professionnels éclairés sur les mécanismes spécifiques. Objectif : découvrir les mécanismes psychoadaptatifs familiaux lors de la phase terminale. Méthode : la méthode était qualitative avec une observation participante dans un service de soins palliatifs entre 2016 et 2020. Résultats : l’observation de 649 familles révèle des détresses spécifiques, une relation soignante et/ou fusionnelle et un pacte dénégatif sur le mourir. L’absence de communication familiale sur le mourir est protectrice. Conclusion : More >

  • Open Access

    ARTICLE

    Depression Detection on COVID 19 Tweets Using Chimp Optimization Algorithm

    R. Meena1,*, V. Thulasi Bai2

    Intelligent Automation & Soft Computing, Vol.34, No.3, pp. 1643-1658, 2022, DOI:10.32604/iasc.2022.025305 - 25 May 2022

    Abstract The Covid-19 outbreak has an unprecedented effects on people's daily lives throughout the world, causing immense stress amongst individuals owing to enhanced psychological disorders like depression, stress, and anxiety. Researchers have used social media data to detect behaviour changes in individuals with depression, postpartum changes and stress detection since it reveals critical aspects of mental and emotional diseases. Considerable efforts have been made to examine the psychological health of people which have limited performance in accuracy and demand increased training time. To conquer such issues, this paper proposes an efficient depression detection framework named Improved… More >

  • Open Access

    ARTICLE

    Vers une approche psychoacoustique et qualitative des paysages sonores de la commune de Sidi Bou Saïd

    Mohamed Amin Hammami1 , Christophe Claramunt2

    Revue Internationale de Géomatique, Vol.30, No.2, pp. 215-243, 2020, DOI:10.3166/rig.2021.00113

    Abstract La recherche présentée dans cet article propose une approche qualitative de qualification d’ambiances sonores dans un espace urbain. La démarche combine une série de mesures psychoacoustiques réalisées in situ à partir d’une gamme complémentaire de capteurs sonores avec une évaluation qualitative réalisée par les acteurs de ces environnements. Les expérimentations menées dans la commune de Sidi Bou Saïd montrent la faisabilité de la démarche, l’intérêt de combiner mesures quantitatives et réalités sonores perçues, tout comme l’opérationnalisation possible de l’approche qualitative permettant de qualifier des ambiances sonores dans un riche environnement urbain. More >

  • Open Access

    ARTICLE

    First report of Phytopythium vexans causing the “Avocado sadness” in Michoacan, Mexico

    Hernández Pérez A1, E Cerna Chávez2, JC Delgado Ortiz3, M Beltrán Beache4, LM Tapia Vargas5, YM Ochoa Fuentes2

    Phyton-International Journal of Experimental Botany, Vol.88, No.1, pp. 11-13, 2019, DOI:10.32604/phyton.2019.04608

    Abstract Mexico is the main producer, consumer and exporter of avocado in the world, being Michoacan the main producer state contributing more than 80% of the national production. There are phytopathogens that decimate the production causing the death of the tree. Root samples were collected in avocado trees that showed the characteristic symptomatology of the disease known as avocado sadness, the sampling was carried out in four of the main avocado producing towns, in the state of Michoacan, Mexico. The isolation consisted in sowing root tissue in Petri dishes with V8®-PARPH culture medium, subsequently they were identified More >

  • Open Access

    ARTICLE

    A revision of Eupatorium (Compositae: Eupatorieae) from Michoacan

    Garcia Sanchez E1,2, CB Ramirez Lopez1,2, REN del Rio Torres2, MM Martinez Pacheco2

    Phyton-International Journal of Experimental Botany, Vol.80, pp. 139-146, 2011, DOI:10.32604/phyton.2011.80.139

    Abstract An important study in species of the genus Eupatorium, that inhabits other parts of the world, was conducted in the search for new molecules with pharmacological activities, thus showing that it is a potential source of novel secondary metabolites. We reviewed the number of Eupatorium species that have been described in the State of Michoacan, and that can be available for harvesting, to make a phytochemical screening. It was found that 69 Eupatorium spp are growing in 69% of the Michoacan territory. Within this group there are ten species used in Mexican traditional medicine. It was evident More >

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