Yifu Sheng¹, Weida Chen, Huan Wen¹, Haijun Lin¹, Jianjun Zhang^{1, *}

Journal on Big Data, Vol.2, No.1, pp. 1-8, 2020, DOI:10.32604/jbd.2020.01001 - 07 September 2020

Abstract Water resources are one of the basic resources for human survival, and water protection has been becoming a major problem for countries around the world. However, most of the traditional water quality monitoring research work is still concerned with the collection of water quality indicators, and ignored the analysis of water quality monitoring data and its value. In this paper, by adopting Laravel and AdminTE framework, we introduced how to design and implement a water quality data visualization platform based on Baidu ECharts. Through the deployed water quality sensor, the collected water quality indicator data More >

Xing Deng^1,2, Haijian Shao^1,2,*, Xia Wang^3,4

Energy Engineering, Vol.117, No.5, pp. 289-299, 2020, DOI:10.32604/EE.2020.011126 - 07 September 2020

Abstract Wind speed’s distribution nature such as uncertainty and randomness imposes a challenge in high accuracy forecasting. Based on the energy distribution about the extracted amplitude and associated frequency, the uncertainty measurement is processed through Rényi entropy analysis method with time-frequency nature. Nonparametric statistical method is used to test the randomness of wind speed, more precisely, whether or not the wind speed time series is independent and identically distribution (i.i.d) based on the output probability. Seasonal characteristics of wind speed are analyzed based on self-similarity in periodogram under scales range generated by wavelet transformation to reasonably More >

Guangli Zhu, Wenting Liu, Shunxiang Zhang^*, Xiang Chen , Chang Yin

Computer Systems Science and Engineering, Vol.35, No.3, pp. 223-232, 2020, DOI:10.32604/csse.2020.35.223

Abstract The current method of extracting new login sentiment words not only ignores the diversity of patterns constituted by new multi-character words (the number of words is greater than two), but also disregards the influence of other new words co-occurring with a new word connoting sentiment. To solve this problem, this paper proposes a method for extracting new login sentiment words from Chinese micro-blog based on improved mutual information. First, micro-blog data are preprocessed, taking into consideration some nonsense signals such as web links and punctuation. Based on preprocessed data, the candidate strings are obtained by… More >

Haiwei Ren¹, Li Wang¹, Hui Bao¹, Yunya Xia¹, Dada Xu¹, Weijie Zhang^1,*, Zhiye Wang²

Journal of Renewable Materials, Vol.8, No.10, pp. 1343-1355, 2020, DOI:10.32604/jrm.2020.010903 - 31 August 2020

Abstract A series of hydrogels with different ratios of chitosan and licorice polysaccharide (LP) were prepared by crosslinking to different concentrations of genipin (gp). They were characterized by FTIR (Fourier transform infrared spectroscopy), SEM (Scanning electron microscope), swelling ratio, rheological measurements, degradation with time, cytotoxicity, and antibacterial efficacy. Results show that the hydrogels have porous structures. With an increase in LP content, the swelling rate grows in the early stage of immersion in buffer and drops later. The swelling ratio ranged from 986% to 1677%, and stiffness varied from 777 Pa to 1792 Pa. The addition… More >

Patikorn Sriphirom^1,2, Amnat Chidthaisong^1,2,3, Kazuyuki Yagi^1,2, Nimaradee Boonapatcharoen⁴, Sudarut Tripetchkul⁵, Sirintornthep Towprayoon^1,2,3,*

Journal of Renewable Materials, Vol.8, No.10, pp. 1199-1214, 2020, DOI:10.32604/jrm.2020.010826 - 31 August 2020

Abstract Biochar amendment is generally recognized as an effective mitigation option of methane (CH₄) emissions from rice cultivation. Although its mitigation mechanisms are not well understood, the potential relevance of surface area and porosity of biochar has been discussed. This study aimed to evaluate the application of different biochar particle sizes on CH₄ production, oxidation, and emissions from rice cultivation in a clay loam soil, based on the assumption that porosity and surface area of biochar are directly related to its mitigation effects. Rice was grown under greenhouse conditions for two growing seasons, either with 0.5–2 mm… More >

Deisy Chaves^1,5,*, Maria Trujillo¹, Edward Garcia², Juan Barraza², Edward Lester³, Maribel Barajas⁴, Billy Rodriguez⁴, Manuel Romero⁴, Laura Fernández-Robles⁵

Intelligent Automation & Soft Computing, Vol.26, No.3, pp. 397-405, 2020, DOI:10.32604/iasc.2020.013916

Abstract Precise automated determination of char morphologies formed by coal during combustion can lead to more efficient industrial control systems for coal combustion. Commonly, char particles are manually classified following the ICCP decision tree which considers four morphological features. One of these features is unfused material, and this class of material not characteristic of Colombian coals. In this paper, we propose new machine learning algorithms to classify the char particles in an image based system. Our hypothesis is that supervised classification methods can outperform the 4 ‘class’ ICCP criteria. In this paper we evaluate several morphological More >

Omer Berat Sezer^*, Ahmet Murat Ozbayoglu

Intelligent Automation & Soft Computing, Vol.26, No.2, pp. 323-334, 2020, DOI:10.31209/2018.100000065

Abstract Even though computational intelligence techniques have been extensively utilized in financial trading systems, almost all developed models use the time series data for price prediction or identifying buy-sell points. However, in this study we decided to use 2-D stock bar chart images directly without introducing any additional time series associated with the underlying stock. We propose a novel algorithmic trading model CNN-BI (Convolutional Neural Network with Bar Images) using a 2-D Convolutional Neural Network. We generated 2-D images of sliding windows of 30-day bar charts for Dow 30 stocks and trained a deep Convolutional Neural More >

Hongtao Bai^{1, 2}, Xuan Li^{1, 2}, Lili He^{1, 2}, Longhai Jin^{1, 2}, Chong Wang^{1, 2, 3}, Yu Jiang^{1, 2, *}

CMC-Computers, Materials & Continua, Vol.65, No.2, pp. 1591-1603, 2020, DOI:10.32604/cmc.2020.09981 - 20 August 2020

Abstract A current problem in diet recommendation systems is the matching of food preferences with nutritional requirements, taking into account individual characteristics, such as body weight with individual health conditions, such as diabetes. Current dietary recommendations employ association rules, content-based collaborative filtering, and constraint-based methods, which have several limitations. These limitations are due to the existence of a special user group and an imbalance of non-simple attributes. Making use of traditional dietary recommendation algorithm researches, we combine the Adaboost classifier with probabilistic matrix factorization. We present a personalized diet recommendation algorithm by taking advantage of probabilistic… More >

Mian Xia^1,2,3,*, Changming Duan⁴

International Journal of Mental Health Promotion, Vol.22, No.3, pp. 159-172, 2020, DOI:10.32604/IJMHP.2020.011117 - 14 August 2020

Abstract The purpose of this study was to investigate the stress and coping strategy of Chinese International Students (CISs) during the epidemic, and to explore the relationship between identification with Chinese cultural beliefs and coping strategies, positive experience, negative emotion and need for psychological support. Two hundred and thirty CISs participated in the study by filling out a series of questionnaires that we designed. The series of questionnaires contained six scales: Pandemic Related Stress (PRS), Identification with Chinese Cultural Beliefs (ICCB), Stress Coping Strategy (SCS), Positive Experience (PE) and Negative Emotion (NE) and Need for Psychological… More >

Hongming Zhou^1,2, Haozheng Gao¹, Zheng Fang², Jiangxin Yang³, Mingge Wu^1,2,3,*

FDMP-Fluid Dynamics & Materials Processing, Vol.16, No.4, pp. 813-826, 2020, DOI:10.32604/fdmp.2020.010150 - 11 August 2020

Abstract In order to grasp the particle flow characteristics and energy consumption of industrial fluidized spouted beds, we conduct numerical simulations on the basis of a Computational Particle Fluid Dynamics (CPFD) approach. In particular, the traction model of Wen-Yu-Ergun is used and different inlet conditions are considered. Using a low-speed fluidizing gas, the flow state of the particles is better and the amount of particles accumulated at the bottom of the bed wall becomes smaller. For the same air intake, the energy loss of a circular nozzle is larger than that of a square nozzle. More >