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

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 this issue by developing a… More >

Ruijun Chai¹, Sujie Shao^1,*, Shaoyong Guo¹, Yuqi Wang¹, Xuesong Qiu¹, Linna Ruan²

Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 471-482, 2021, DOI:10.32604/iasc.2021.013373

Abstract Long Range Radio (LoRa) has become one of the widely adopted Low-Power Wide Area Network (LPWAN) technologies in power Internet of Things (PIoT). Its major advantages include long-distance, large links and low power consumption. However, in LoRa-based PIoT, terminals are often deployed in the wild place and are easily affected by bad weather or disaster, which could easily lead to large-scale operation faults and could seriously affect the normal operation of the network. Simultaneously, the distribution characteristics of outdoor terminals with wide coverage and large links lead to a sharp increase in the difficulty and cost of fault recovery. Given… More >

S. Praveen Kumar^1,*, S. Appavu alias Balamurugan², S. Kannan³

Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 333-346, 2021, DOI:10.32604/iasc.2021.013310

Abstract The establishment of multi-channel routing systems in WSNs has shown the reliability of the transmission across several channels. Meeting the service quality needs of all the applications is still a challenging task. Various surveys carried out, have suggested for the development of user-oriented Wireless Sensor Network (WSN) architectures. Throughout WSNs, the Optimized Link State Routing (OLSR) and the Adhoc On Demand Vector (AODV) are the multi-way routing systems that exhibit the reliability of the multipath delivery to fulfill the customer service quality requirements. The topology is modified only on requests, by selecting the best route based on the route weights… More >

R. Jayamala^*, A. Valarmathi

Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 347-358, 2021, DOI:10.32604/iasc.2021.012401

Abstract Cloud computing is an increasingly important technology to deliver pay-as-you-go online computing services. In this study, the cloud service provider permits the cloud user to pay according to the user’s needs. Various methods have been used to reduce energy utilization in the cloud. The rapid increase of cloud users has led to increased energy consumption and higher operating costs for cloud providers. A key issue in cloud data centers is their massive energy consumption to operate and maintain computing services. Virtual machine (VM) migration is a method to reduce energy consumption. This study proposes enhanced decentralized virtual machine migration (EDVMM),… More >

Aolin Sun, Xiang Cao^*, Xu Xiao, Liwen Xu

Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 551-564, 2021, DOI:10.32604/iasc.2021.01008

Abstract An essential issue in a target search is safe navigation while quickly finding targets. In order to improve the efficiency of a target search and the smoothness of AUV’s (Autonomous Underwater Vehicle) trajectory, a fuzzy-based bio-inspired neural network approach is proposed in this paper. A bio-inspired neural network is applied to a multi-AUV target search, which can effectively plan search paths. In the meantime, a fuzzy algorithm is introduced into the bio-inspired neural network to make the trajectory of AUV obstacle avoidance smoother. Unlike other algorithms that need repeated training in the parameters selection, the proposed approach obtains all the… More >

Xiang Cao^1,2,*, Ling Chen¹, Liqiang Guo³, Wei Han⁴

Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 391-407, 2021, DOI:10.32604/iasc.2021.01002

Abstract As one of the classical problems in autonomous underwater vehicle (AUV) research, path planning has obtained a lot of research results. Many studies have focused on planning an optimal path for AUVs. These optimal paths are sometimes too close to obstacles. In the real environment, it is difficult for AUVs to avoid obstacles according to such an optimal path. To solve the safety problem of AUV path planning in a dynamic uncertain environment, an algorithm combining a bio-inspired neural network and potential field is proposed. Based on the environmental information, the bio-inspired neural network plans the optimal path for the… More >

Jin Wang¹, Weigang Zhang^2,*, Xiaowei Zhuang^1,*

Journal of Renewable Materials, Vol.9, No.3, pp. 557-568, 2021, DOI:10.32604/jrm.2021.013269

Abstract Using 1–8 years bamboo as materials, the content of different chemical constituent was tested, and the reactive oxygen species (ROS) free radicals produced from laccase treated bamboo were detected by electron spin-resonance (ESR) spectroscope. The wet-process particleboard was made from laccase-treated bamboo by hot pressing and board mechanical properties including internal bond strength (IB), modulus of rupture (MOR) and thickness swelling (TS) after 2-hours water absorption were tested under different conditions. Results showed that laccase mainly catalyze the bamboo components and improved the bonding strength of laccase-treated boards. By ESR measurement on each single component such as milled bamboo lignin,… More >

Ehsan Bari^1,*, Antonio Pizzi^2,*, Olaf Schmidt³, Siham Amirou², Mohammad Ali Tajick-Ghanbary⁴, Miha Humar⁵

Journal of Renewable Materials, Vol.9, No.3, pp. 381-397, 2021, DOI:10.32604/jrm.2021.015288

Abstract There are many methods to identify and recognize the molecular and behavioural differences between organisms. One of the methods for the detection and identification of unknown organisms as well as intermolecular and intramolecular structural differences is MALDI-TOF mass spectrometry. Therefore, differentiation of Fomes fomentarius decay capabilities on the chemical properties of the wood cell wall of the tree species Quercus castaneifolia, Juglans regia, and Carpinus betulus were used to determine and characterize the destructive behaviour of F. fomentarius decay by MALDI-TOF mass spectrometry. The results showed that the fungus had more signifi- cant destructive behaviour on J. regia than the… More >

Qing Li¹, Ming Dai¹, Xueren Qian¹, Tian Liu¹, Zhenbo Liu¹, Yu Liu¹, Ming Chen¹, Wang He¹, Suqing Zeng¹, Yu Meng¹, Chenchen Dai¹, Jing Shen¹, Yingtao Liu¹, Wenshuai Chen¹, Wenbo Liu^1,*, Ping Lu^2,*

Journal of Renewable Materials, Vol.9, No.3, pp. 451-461, 2021, DOI:10.32604/jrm.2021.011655

Abstract Nanopaper has attracted considerable interest in the fields of films and paper research. However, the challenge of integrating the many advantages of nanopaper still remains. Herein, we developed a facile strategy to fabricate multifunctional nanocomposite paper (NGCP) composed of wood-derived nanofibrillated cellulose (NFC) and graphene as building blocks. NFC suspension was consisted of long and entangled NFCs (10–30 nm in width) and their aggregates. Before NGCP formation, NFC was chemically modified with a silane coupling agent to ensure that it could interact strongly with graphene in NGCP. The resulting NGCP samples were flexible and could be bent repeatedly without any… 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

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, the chemical composition, and the… More >