Kun Fang^{1, 2}, Jianquan Ouyang^{1, *}

Journal on Artificial Intelligence, Vol.2, No.1, pp. 1-15, 2020, DOI:10.32604/jai.2020.09738 - 15 July 2020

Abstract Generating an Adversarial network (GAN) has shown great development prospects in image generation and semi-supervised learning and has evolved into TripleGAN. However, there are still two problems that need to be solved in Triple-GAN: based on the KL divergence distribution structure, gradients are easy to disappear and training instability occurs. Since Triple-GAN tags the samples manually, the manual marking workload is too large. Marked uneven and so on. This article builds on this improved Triple-GAN model (Improved Triple-GAN), which uses Random Forests to classify real samples, automate tagging of leaf nodes, and use Least Squares More >

Jiuliang Liu^1,*, Xingming Sun¹, Ke Song²

Journal of Cyber Security, Vol.2, No.2, pp. 107-113, 2020, DOI:10.32604/jcs.2020.011222 - 14 July 2020

Abstract In recent years, food safety problems have become increasingly serious. The traditional supply chain traceability solution faces some serious problems, such as centralization, data tampering, and high communication costs. To solve these problems, this paper proposes a food traceability framework based on permissioned blockchain. The proposed framework is decentralized, and the supply chain data of the framework cannot be tampered with. The framework divides supply chain entities into five organizations, and each organization deploys its own chaincode onto the blockchain. The chaincode specifies the query permission of each organization, which can effectively protect the user’s More >

Dingwen Wang, Ming Zhao^*

Journal of Cyber Security, Vol.2, No.2, pp. 63-68, 2020, DOI:10.32604/jcs.2020.07229 - 14 July 2020

Abstract Mobile crowdsensing is a new paradigm with powerful performance for data collection through a large number of smart devices. It is essential to obtain high quality data in crowdsensing campaign. Most of the existing specs ignore users’ diversity, focus on solving complicated optimization problem, and consider devices as instances of intelligent software agents which can make reasonable choices on behalf of users. Thus, the efficiency and quality of contributed data cannot be preserved simultaneously. In this paper, we propose a new scheme for improving the quality of contributed data, which recommends tasks to users based More >

Dongsheng Xu^*

Energy Engineering, Vol.117, No.3, pp. 143-152, 2020, DOI:10.32604/EE.2020.010335 - 10 July 2020

Abstract With the continuous development of society and the progress of science and technology, the living standards of the people also constantly improve, people pay more and more attention to the pursuit of material life, and the living space of everyday life and office space requirements are also rising, the air conditioning has become the essential in people’s daily life a kind of electrical equipment. The traditional optimal matching methods of heating, ventilation, air conditioning (HVAC) system have common problems such as long matching time, low matching accuracy and many matching times. The application of the… More >

Jiangbo Li^1,2, Lielin Wang^1,2,*, Hua Xie^1,2, Xiaoyu Li^1,2, Zhiqiang Feng^1,2, Wenxiu Zhang^1,2

Energy Engineering, Vol.117, No.3, pp. 129-142, 2020, DOI:10.32604/EE.2020.010336 - 10 July 2020

Abstract This study introduced a significantly effective approach called the microwave-enhanced Fenton method to degrade spent radioactive cation exchange resin. Compared with the Fenton (99% after 180 min) and photo-Fenton (90% after 198 min) reactions, this unique microwave-enhanced Fenton reaction has the highest degradation rate for spent radioactive cation exchange resin degradation (98.55% after 60 min). Carbon dioxide, sulfate and small molecular compounds were produced in the degradation of cation exchange resin, as determined by XRD and FT-IR. A model for the microwave-enhanced Fenton degradation mechanism of cation exchange resin was constructed. Microwaves were implemented to More >

Kang He¹, Yu Chen^1,*, Jian Wang²

Journal of Renewable Materials, Vol.8, No.8, pp. 969-992, 2020, DOI:10.32604/jrm.2020.09573 - 10 July 2020

Abstract The behaviour of timber columns subjected to freeze-thaw cycles under axial compression is presented in this paper. A total of forty specimens, including twenty circular timber columns and twenty square timber columns, were tested under axial compression. The failure modes, ultimate bearing capacity, ductility coefficient, load-displacement curves and load-strain curves were obtained and analyzed. The number of freeze-thaw cycles (from 0 to 80) and the specimens’ height (from 225 mm to 360 mm) were considered as the main parameters. After freeze-thaw cycles, there was no obvious change on the surface of the timber columns. The… More >

Xibo Qi¹, Yijie Huang^2,3,*, Xiaowei Li¹, Zhenhua Hu¹, Jingwei Ying³, Dayong Li¹

Journal of Renewable Materials, Vol.8, No.8, pp. 915-937, 2020, DOI:10.32604/jrm.2020.010991 - 10 July 2020

Abstract The mechanical properties of modified sea water sea sand coral concrete (SWSSCC) under axial compression were experimentally studied. Two different parameters were considered in this test: types of cement and fiber. An experimental campaign was developed involving uniaxial compression tests and the use of digital image correlation (DIC) method to analyze the strain distribution and crack propagation of specimen. Test results indicated that the compressive strength and elastic modulus of SWSSCC were improved by adding stainless steel fibers (SSF), while polypropylene fibers (PF) enhanced the SWSSCC peak deformation. It was found that the elastic modulus More >

Toshifumi Yui^1,*, Takuya Uto²

Journal of Renewable Materials, Vol.8, No.8, pp. 863-878, 2020, DOI:10.32604/jrm.2020.010830 - 10 July 2020

Abstract We report the systematic survey of the binding free energies at the interface between a carbohydrate binding module (CBM) of Cel7A and the cellulose III_I crystal model using grid docking searches and molecular dynamics simulations. The two hydrophobic crystal surfaces were involved in the distinct energy minima of the binding free energy. The complex models, each with the CBM at the minimum energy position, stably formed in the solution state. The binding free energies of the cellulose III_I complex models, based on both static and dynamics states, were comparable to those of the native cellulose complex More >

Xiaozhong Chen^*

Molecular & Cellular Biomechanics, Vol.17, No.3, pp. 139-153, 2020, DOI:10.32604/mcb.2020.08933 - 01 July 2020

Abstract Existing model registration of individual bones does not have a high certainly of success due to the lack of anatomic semantic. In light of the surface anatomy and functional structure of bones, we hypothesized individual femur models would be aligned through feature points both in geometrical level and in anatomic level, and proposed a hierarchical approach for the rigid registration (HRR) of point cloud models of femur with high resolution. Firstly, a coarse registration between two simplified point cloud models was implemented based on the extraction of geometric feature points (GFPs); and then, according to More >

Bin Xu^{1, 2}, Yong Tang¹, Yi Zhu¹, Wenqing Yan¹, Cheng He³, Jin Qi^{1, *}

CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 2031-2042, 2020, DOI:10.32604/cmc.2020.011149 - 30 June 2020

Abstract Manufacturing service composition of the supply side and scheduling of the demand side are two important components of Cloud Manufacturing, which directly affect the quality of Cloud Manufacturing services. However, the previous studies on the two components are carried out independently and thus ignoring the internal relations and mutual constraints. Considering the two components on both sides of the supply and the demand of Cloud Manufacturing services at the same time, a Bilateral Collaborative Optimization Model of Cloud Manufacturing (BCOM-CMfg) is constructed in this paper. In BCOM-CMfg, to solve the manufacturing service scheduling problem on… More >