Adel Saad Assiri^*

Computer Systems Science and Engineering, Vol.36, No.3, pp. 435-450, 2021, DOI:10.32604/csse.2021.014894 - 18 January 2021

Abstract Artificial neural networks (ANNs) are one of the hottest topics in computer science and artificial intelligence due to their potential and advantages in analyzing real-world problems in various disciplines, including but not limited to physics, biology, chemistry, and engineering. However, ANNs lack several key characteristics of biological neural networks, such as sparsity, scale-freeness, and small-worldness. The concept of sparse and scale-free neural networks has been introduced to fill this gap. Network sparsity is implemented by removing weak weights between neurons during the learning process and replacing them with random weights. When the network is initialized, More >

Jingyu Zhang^1,2, Siqi Zhong¹, Jin Wang^1,3, Xiaofeng Yu^4,*, Osama Alfarraj⁵

Computer Systems Science and Engineering, Vol.36, No.3, pp. 521-535, 2021, DOI:10.32604/csse.2021.014530 - 18 January 2021

Abstract As the typical peer-to-peer distributed networks, blockchain systems require each node to copy a complete transaction database, so as to ensure new transactions can by verified independently. In a blockchain system (e.g., bitcoin system), the node does not rely on any central organization, and every node keeps an entire copy of the transaction database. However, this feature determines that the size of blockchain transaction database is growing rapidly. Therefore, with the continuous system operations, the node memory also needs to be expanded to support the system running. Especially in the big data era, the increasing More >

Asadullah Shaikh^1,*, Abdul Hafeez², M. A. Elmagzoub¹, Abdullah Alghamdi¹, Ansar Siddique³, Basit Shahzad⁴

Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 565-579, 2021, DOI:10.32604/iasc.2021.015071 - 18 January 2021

Abstract Unified Modeling Language (UML) models are considered important artifacts of model-driven engineering (MDE). This can automatically transform models to other paradigms and programming languages. If a model has bugs, then MDE can transfer these to a new code. The class model is a key component of UML that is used in analysis and design. Without a formal foundation, UML can create only graphical diagrams, making it impossible to verify properties such as satisfiability, consistency and consequences. Different techniques have been used to verify UML class models, but these do not support some important components. This More >

Rajesh Kaluri¹, Dharmendra Singh Rajput¹, Qin Xin^2,*, Kuruva Lakshmanna¹, Sweta Bhattacharya¹, Thippa Reddy Gadekallu¹, Praveen Kumar Reddy Maddikunta¹

Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 453-469, 2021, DOI:10.32604/iasc.2021.014369 - 18 January 2021

Abstract Internet of Things (IoT) and related applications have successfully contributed towards enhancing the value of life in this planet. The advanced wireless sensor networks and its revolutionary computational capabilities have enabled various IoT applications become the next frontier, touching almost all domains of life. With this enormous progress, energy optimization has also become a primary concern with the need to attend to green technologies. The present study focuses on the predictions pertinent to the sustainability of battery life in IoT frameworks in the marine environment. The data used is a publicly available dataset collected from… More >

Yajun Zhang^1,*, Jianjun Yi¹, Jiahao Zhang¹, Yuanhao Chen¹, Liang He²

Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 425-439, 2021, DOI:10.32604/iasc.2021.013795 - 18 January 2021

Abstract Image recognition algorithms based on deep learning have been widely developed in recent years owing to their capability of automatically capturing recognition features from image datasets and constantly improving the accuracy and efficiency of the image recognition process. However, the task of training deep learning networks is time-consuming and expensive because large training datasets are generally required, and extensive manpower is needed to annotate each of the images in the training dataset to support the supervised learning process. This task is particularly arduous when the image scenes involve randomly stacked objects. The present work addresses… More >

Biqing Shu^1,2, Qin Ren¹, Lu Hong¹, Zhongping Xiao², Xiaoning Lu^1,*, Wenya Wang², Junbao Yu²,Naiqiang Fu², Yiming Gu², Jinjun Zheng²

Journal of Renewable Materials, Vol.9, No.3, pp. 585-597, 2021, DOI:10.32604/jrm.2021.012932 - 14 January 2021

Abstract One of the large-scale industrial applications of Moso bamboo and poplar in China is the production of standardized fiberboard. When making fiberboard, a steam blasting pretreatment without the addition of traditional adhesives has become increasingly popular because of its environmental friendliness and wide applicability. In this study, the steam explosion pretreatment of Moso bamboo and poplar was conducted. The steam explosion pressure and holding time were varied to determine the influence of these factors on fiber quality by investigating the morphology of the fiber, the mass ratio of the unexploded specimen at the end face,… More >

Xuying Guo^1,2,*, Saiou Fu¹, Junzhen Di³, Yanrong Dong³, Guoliang Jiang³

Journal of Renewable Materials, Vol.9, No.3, pp. 541-555, 2021, DOI:10.32604/jrm.2021.012335 - 14 January 2021

Abstract The high concentrations of Fe²⁺ and Mn²⁺ in acid mine drainage make it difficult and expensive to treat. It is urgent that we find a cheap and efficient adsorption material to treat Fe²⁺ and Mn²⁺. As a solid waste in mining areas, coal gangue occupies a large area and pollutes the surrounding environment during the stacking process. Developing a method of resource utilization is thus a research hotspot. In this study, we modified spontaneous combustion gangue using NaOH, NaCl, and HCl by chemically modifying the minerals. We determined the optimal conditions for treating Fe²⁺ and Mn²⁺ in acid… More >

Resa Martha^1,2, Mahdi Mubarok^1,2, Wayan Darmawan², Wasrin Syafii², Stéphane Dumarcay¹, Christine Gérardin Charbonnier¹, Philippe Gérardin^1,*

Journal of Renewable Materials, Vol.9, No.3, pp. 399-449, 2021, DOI:10.32604/jrm.2021.014286 - 14 January 2021

Abstract As a tropical archipelagic country, Indonesia’s forests possess high biodiversity, including its wide variety of wood species. Valorisation of biomolecules released from woody plant extracts has been gaining attractive interests since in the middle of 20th century. This paper focuses on a literature review of the potential valorisation of biomolecules released from twenty wood species exploited in Indonesia. It has revealed that depending on the natural origin of the wood species studied and harmonized with the ethnobotanical and ethnomedicinal knowledge, the extractives derived from the woody plants have given valuable heritages in the fields of More >

Khawla Essassi^1,2,*, Jean-Luc Rebiere¹, Abderrahim El Mahi¹, Mohamed Amine Ben Souf², Anas Bouguecha², Mohamed Haddar²

Journal of Renewable Materials, Vol.9, No.3, pp. 569-584, 2021, DOI:10.32604/jrm.2021.012253 - 14 January 2021

Abstract Meta-sandwich composites with three-dimensional (3D) printed architecture structure are characterized by their high ability to absorb energy. In this paper, static and fatigue 3-point bending tests are implemented on a 3D printed sandwich composites with a re-entrant honeycomb core. The skins, core and whole sandwich are manufactured using the same bio-based material which is polylactic acid with flax fiber reinforcement. Experimental tests are performed in order to evaluate the durability and the ability of this material to dissipate energy. First, static tests are conducted to study the bending behaviour of the sandwich beams, as well… More >

Wonseok Jung¹, Se-Han Kim², Seng-Phil Hong³, Jeongwook Seo^4,*

CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 337-348, 2021, DOI:10.32604/cmc.2021.014561 - 12 January 2021

Abstract Pig farmers want to have an effective solution for automatically detecting and tracking multiple pigs and alerting their conditions in order to recognize disease risk factors quickly. In this paper, therefore, we propose a novel monitoring system using an Artificial Intelligence of Things (AIoT) technique combining artificial intelligence and Internet of Things (IoT). The proposed system consists of AIoT edge devices and a central monitoring server. First, an AIoT edge device extracts video frame images from a CCTV camera installed in a pig pen by a frame extraction method, detects multiple pigs in the images More >