Mireille Fargette¹ , Maud Loireau², Najet Raouani³ , Thérèse Libourel⁴

Revue Internationale de Géomatique, Vol.31, No.1, pp. 135-197, 2022, DOI:10.3166/RIG31.135-197

Abstract This work is interested in observation, in scientific knowledge acquired from what is perceived (Link making Sense) from a complex systemic world. The approach leads to proposing the concept of imprint within the interdisciplinary framework “System – Reality – World as perceived – Model” and testing it against data, then to proposing systemic ontology as an approach. This makes it possible to deploy the Link making Shape from the systemic domain to the world as perceived, to analyze and describe the relevant part in the data and to show how the whole of this mostly symbolic work can contribute, with… More >

Wissame Laddada¹ , Éric Saux²

Revue Internationale de Géomatique, Vol.31, No.1, pp. 111-133, 2022, DOI:10.3166/RIG31.111-133

Abstract The spatial footprints, historical or acquired in real time, help to understand the dynamics of their carriers. In a context of coastal maritime navigation, the research presented details the approach of setting up a knowledge model aimed at a semantic analysis of ship footprints. This model is defined on the basis of knowledge gathered from experts in this field, supplemented by textual and graphic descriptions. After having described these navigation principles, we present the stages leading to such a knowledge model. The research is completed by the formalization of rules relating to the visibility of landmarks. Finally, a reasoning leads… More >

Laure Nuninger¹ , Thérèse Libourel², Xavier Rodier³, Rachel Opitz⁴, Philip Verhagen⁵, Catherine Fruchart¹, Clément Laplaige³, Samuel Leturcq³, Nathanael Levoguer³

Revue Internationale de Géomatique, Vol.31, No.1, pp. 81-110, 2022, DOI:10.3166/RIG31.81-110

Abstract In this article we propose an original approach designed by archaeologists and a computer scientist for knowledge creation in studies of movement. Using case studies, we analyze how researchers have identified, conceptualized, and linked the material traces describing various movement processes in a given region. Then, we explain how we construct ontologies that enable us to explicitly relate material elements, identified in the observed landscape, to the knowledge or theory that explains their role and relationships within the movement process. Combining formal pathway systems, so-called « Path framework systems » and informal movement systems, so-called « Pathway systems », through… More >

L. Amaadour, I. Lahrch, O. Siyouri, K. Oualla, Z. Benbrahim, S. Arifi, C. Aarab, S. El Fakir, N. Mellas

Psycho-Oncologie, Vol.17, No.1, pp. 38-43, 2023, DOI:10.3166/pson-2022-0221

Abstract Background: The Covid-19 disease is a cause for several mental alterations mainly in cancer patients who are already categorized as a vulnerable population.
Aim: The objective of this study is to characterize psychological disorders caused by Covid-19 infection among cancer patients on systemic treatment.
Methods: It is a cross-sectional study performed at the Department of Medical Oncology of Hassan-II University Hospital of Fez, Morocco, during a period of four months (peak of the pandemic). Symptoms of anxiety/depression and post-traumatic stress disorder in patients were screened using HADS (Hospital Anxiety and Depression Scale) and PCL-5 (post-traumatic stress disorder checklist version DSM-5)… More >

Jianwei Zhang¹, Yue Yin¹, Lei Shi¹, Yi Han², Mi Zhou^3,*, Xihong Zhang⁴

Journal of Renewable Materials, Vol.11, No.6, pp. 2893-2911, 2023, DOI:10.32604/jrm.2023.025436

Abstract Dust is an environmental and health hazard. In this study, a new technology for dust suppressant is introduced using soybean urease with an optimal cementing solution. Calcium carbonate is produced by soybean urease and cementing solution, which bonds the soil particles towards a dust suppressant. A laboratory wind tunnel test is carried out to examine its effectiveness and discover possible optimization solutions. Several factors, including soybean meal concentration, cementing solution concentration, and volume of solution per unit area, are examined to quantify their influences on soil transport mass, evaporation ratio, evaporation rate, surface strength, water retention ratio, and infiltration rate… More >

Dong Qing^1,*, Qi Song¹, Shuangyun Huang², Gening Xu¹

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.3, pp. 2345-2370, 2023, DOI:10.32604/cmes.2023.026552

Abstract For the randomness of crane working load leading to the decrease of load spectrum prediction accuracy with time, an adaptive TSSA-HKRVM model for crane load spectrum regression prediction is proposed. The heterogeneous kernel relevance vector machine model (HKRVM) with comprehensive expression ability is established using the complementary advantages of various kernel functions. The combination strategy consisting of refraction reverse learning, golden sine, and Cauchy mutation + logistic chaotic perturbation is introduced to form a multi-strategy improved sparrow algorithm (TSSA), thus optimizing the relevant parameters of HKRVM. The adaptive updating mechanism of the heterogeneous kernel RVM model under the multi-strategy improved… More >

M. V. Narayana¹, Vadla Pradeep Kumar², Ashok Kumar Nanda^2,*, Hanumantha Rao Jalla³, Subba Reddy Chavva⁴

CMC-Computers, Materials & Continua, Vol.75, No.1, pp. 587-607, 2023, DOI:10.32604/cmc.2023.034773

Abstract Mobile ad hoc networks (MANETs) are subjected to attack detection for transmitting and creating new messages or existing message modifications. The attacker on another node evaluates the forging activity in the message directly or indirectly. Every node sends short packets in a MANET environment with its identifier, location on the map, and time through beacons. The attackers on the network broadcast the warning message using faked coordinates, providing the appearance of a network collision. Similarly, MANET degrades the channel utilization performance. Performance highly affects network performance through security algorithms. This paper developed a trust management technique called Enhanced Beacon Trust… More >

Muhammad Asad¹, Rashad Rasool Khan^2,*, Ahmed B. Aljuboory³, Muhammad Haroon U. Rashid⁴, Uttam Kumar⁵, Inzamam Ul Haq⁶, Aqsa Hafeez⁷, Ahmed Noureldeen⁸, Khadiga Alharbi^9,*

Phyton-International Journal of Experimental Botany, Vol.92, No.4, pp. 1161-1172, 2023, DOI:10.32604/phyton.2023.026513

Abstract The beet armyworm (BAW), Spodoptera exigua (Lepidoptera: Noctuidae) is a highly destructive pest of vegetables and field crops. Management of beet armyworm primarily relies on synthetic pesticides, which is threatening the beneficial community and environment. Most importantly, the BAW developed resistance to synthetic pesticides with making it difficult to manage. Therefore, alternative and environment-friendly pest management tactics are urgently required. The use of pesticidal plant extracts provides an effective way for a sustainable pest management program. To evaluate the use of pesticidal plant extracts against BAW, we selected six plant species (Lantana camara, Aloe vera, Azadirachta indica, Cymbopogon citratus, Nicotiana tabacum ,… More >

Jiahao Wen, Zhijian Wang^*

CMES-Computer Modeling in Engineering & Sciences, Vol.136, No.1, pp. 749-765, 2023, DOI:10.32604/cmes.2023.023865

Abstract Since the existing prediction methods have encountered difficulties in processing the multiple influencing factors in short-term power load forecasting, we propose a bidirectional long short-term memory (BiLSTM) neural network model based on the temporal pattern attention (TPA) mechanism. Firstly, based on the grey relational analysis, datasets similar to forecast day are obtained. Secondly, the bidirectional LSTM layer models the data of the historical load, temperature, humidity, and date-type and extracts complex relationships between data from the hidden row vectors obtained by the BiLSTM network, so that the influencing factors (with different characteristics) can select relevant information from different time steps… More >

Allam Abumwais^*, Mahmoud Obaid

CMC-Computers, Materials & Continua, Vol.74, No.3, pp. 4951-4963, 2023, DOI:10.32604/cmc.2023.032822

Abstract Modern shared-memory multi-core processors typically have shared Level 2 (L2) or Level 3 (L3) caches. Cache bottlenecks and replacement strategies are the main problems of such architectures, where multiple cores try to access the shared cache simultaneously. The main problem in improving memory performance is the shared cache architecture and cache replacement. This paper documents the implementation of a Dual-Port Content Addressable Memory (DPCAM) and a modified Near-Far Access Replacement Algorithm (NFRA), which was previously proposed as a shared L2 cache layer in a multi-core processor. Standard Performance Evaluation Corporation (SPEC) Central Processing Unit (CPU) 2006 benchmark workloads are used… More >