Minshan Li^1,3, Dongchuan Mo^2,3*, Shushen Lyu^2,3*

The International Conference on Computational & Experimental Engineering and Sciences, Vol.22, No.3, pp. 165-165, 2019, DOI:10.32604/icces.2019.05510

Abstract In the past few years, machine learning algorithms and models have shown great power in the emerging field of data mining and artificial intelligence, attracting a great deal of attention. Given specific learning task and training data set, a machine learning model can improve automatically through training and can help people make decisions and predictions. To date, a lot of advanced machine learning algorithms and theories have been proposed and developed, including random forest, support vector machine, artificial neural network, deep learning and so on. Well-chosen and well-trained machine learning model is proved to have high efficiency, accuracy and robustness,… More >

M-A Lavoie¹, A. Gakwaya¹, M. Nejad Ensan², D.G. Zimcik²

The International Conference on Computational & Experimental Engineering and Sciences, Vol.2, No.4, pp. 111-118, 2007, DOI:10.3970/icces.2007.002.111

Abstract This paper reviews numerical methods that are currently available to simulate bird strike as well as the theory of the event. It also summarizes important parameters and provides guidelines as to how to set up the analysis and how to evaluate a model. The information provided is based on physical properties and available results regarding a bird and its behaviour upon impact. The simulations have been performed with LS-DYNA 970 but can be done in similar dynamic finite elements analysis codes. More >

Nuni Widiarti¹, Yatim Lailun Ni’mah¹, Hasliza Bahruji², Didik Prasetyoko^1,*

Journal of Renewable Materials, Vol.7, No.10, pp. 915-939, 2019, DOI:10.32604/jrm.2019.07183

Abstract Biodiesel is a fossil fuel that is in demand to be developed because it is bio-renewable, biodegradable and environmentally friendly. Biodiesel produced from the transesterification reaction of vege Tab. oil using a base catalyst. CaO is the most developed catalyst for the reaction of transesterification of oil into biodiesel because it is cheap, the process is easy and has a high level of alkalinity. CaO is a cheap catalyst because it is easily obtained from natural ingredients. The use of CaO catalysts in the reaction formation of biodiesel continues to develop through modification with various porous materials and different oxide… More >

Chaokun Hong^1a,2, Haitao Li^1a,2,*, Rodolfo Lorenzo³, Gang Wu^1b, Ileana Corbi⁴, Ottavia Corbi⁴, Zhenhua Xiong⁵, Dong Yang^1a,2, Huizhong Zhang^1a,2

Journal of Renewable Materials, Vol.7, No.8, pp. 713-730, 2019, DOI:10.32604/jrm.2019.07647

Abstract Bamboo is a green construction material in line with sustainable development strategies. The use of raw bamboo in architecture has existed since ancient times. In the long development years of original bamboo buildings, many areas in the world gradually formed unique bamboo buildings, which have become an important local cultural feature. For building structures, joints are the key to ensure structural load transfer. Because of hollow and thin-walled material property of bamboo, the connection in raw bamboo buildings has always been a major difficulty and problem in the application of bamboo, which seriously hinders the development of original bamboo structures.… More >

Puyou Jia¹, Fei Song¹, Qiaoguang Li^2,*, Haoyu Xia³, Mei Li^1,*, Xugang Shu², Yonghong Zhou¹

Journal of Renewable Materials, Vol.7, No.7, pp. 601-619, 2019, DOI:10.32604/jrm.2019.07011

Abstract Polymers from renewable resources are receiving tremendous attention due to the increasing concerns on the depletion of fossil oils and deteriorated environments. Cardanol, as an abundant and renewable chemical raw material, has been widely used for the production of renewable polymer materials via converting into various of chemical monomers with active functional groups. This comprehensive review deals with various aspects of cardanol as a starting material the preparing various polymer and polymer composites such as benzoxazine resins, phenolic resin, polyurethanes, epoxy resin, vinyl ester polymers, polyamide and cyanate ester resins. The assessment of the future prospects for the use of… More >

Antonio Pizzi*

Journal of Renewable Materials, Vol.7, No.5, pp. 477-492, 2019, DOI:10.32604/jrm.2019.06511

Abstract This review details the development of tannin-based biofoams for fire resistance and acoustic insulation and details the different varieties of these foams that have been developed, from tannin-furanic self-blowing foams to tannin-furanic polyurethanes and finally non-isocyanate tannin-based-carbohydrates polyurethanes (NIPU). More >

Zhengtao Liu^1,*, Wen Gu¹, Jinyue Xia²

Journal of Cyber Security, Vol.1, No.1, pp. 43-50, 2019, DOI:10.32604/jcs.2019.06070

Abstract Access control is one of the core problems in data management system. In this paper, the system requirements were described in three aspects: the traditional access control model, the access control model in the Internet era and the access control model in the cloud computing environment. Meanwhile, the corresponding major models were listed and their characteristics and problems were analyzed. Finally, the development trend of the corresponding model was proposed. More >

Yongxiang Gu¹, Beijing Chen¹, Xu Cheng^1,*, Yifeng Zhang^2,3, Jingang Shi⁴

Journal of Information Hiding and Privacy Protection, Vol.1, No.1, pp. 23-33, 2019, DOI:10.32604/jihpp.2019.05938

Abstract Recently, deep learning has achieved great success in visual tracking. The goal of this paper is to review the state-of-the-art tracking methods based on deep learning. First, we categorize the existing deep learning based trackers into three classes according to network structure, network function and network training. For each categorize, we analyze papers in different categories. Then, we conduct extensive experiments to compare the representative methods on the popular OTB-100, TC-128 and VOT2015 benchmarks. Based on our observations. We conclude that: (1) The usage of the convolutional neural network (CNN) model could significantly improve the tracking performance. (2) The trackers… More >

Fangming Bi^1,2, Xin Ma^1,2, Wei Chen^1,2,*, Weidong Fang³, Huayi Chen^1,2, Jingru Li^1,2, Biruk Assefa^1,4

Journal of New Media, Vol.1, No.2, pp. 63-74, 2019, DOI:10.32604/jnm.2019.06253

Abstract Video object tracking is an important research topic of computer vision, which finds a wide range of applications in video surveillance, robotics, human-computer interaction and so on. Although many moving object tracking algorithms have been proposed, there are still many difficulties in the actual tracking process, such as illumination change, occlusion, motion blurring, scale change, self-change and so on. Therefore, the development of object tracking technology is still challenging. The emergence of deep learning theory and method provides a new opportunity for the research of object tracking, and it is also the main theoretical framework for the research of moving… More >

Weidong Fang¹, Wuxiong Zhang^1,2, Lianhai Shan^1,*, Biruk Assefa³, Wei Chen⁴

Journal of New Media, Vol.1, No.1, pp. 45-50, 2019, DOI:10.32604/jnm.2019.05786

Abstract As an effective error correction technology, the Low Density Parity Check Code (LDPC) has been researched and applied by many scholars. Meanwhile, LDPC codes have some prominent performances, which involves close to the Shannon limit, achieving a higher bit rate and a fast decoding. However, whether these excellent characteristics are suitable for the resource-constrained Wireless Sensor Network (WSN), it seems to be seldom concerned. In this article, we review the LDPC code’s structure brief.ly, and them classify and summarize the LDPC codes’ construction and decoding algorithms, finally, analyze the applications of LDPC code for WSN. We believe that our contributions… More >