Longhua Zhou^1,2,#, Ting He^1,2,#, Guimei Guo^1,2, Jing Li^1,2, Ruiju Lu^1,2, Yingbo Li^1,2,*, Chenghong Liu^1,2,*

Phyton-International Journal of Experimental Botany, Vol.89, No.4, pp. 987-997, 2020, DOI:10.32604/phyton.2020.011728

Abstract Barley grain is a valuable source of β-glucan, which is an important component of dietary fiber with significant human health benefits. Although the genetic basis of β-glucan biosynthesis has been widely studied, a genome-wide association study (GWAS) is still required for a scan of the candidate genes related to the complex quantitative trait based on the high-quality barley reference genome. In this study, a GWAS was conducted using a population composed of 87 barley landraces (39 hulled and 48 hulless, β-glucan from 2.07% to 6.56%) with 191,098 nucleotide polymorphisms (SNPs) markers to cover the chromosomes with the highest density. The… More >

Abdulrahman Alasmari^*

Phyton-International Journal of Experimental Botany, Vol.89, No.4, pp. 1059-1081, 2020, DOI:10.32604/phyton.2020.010952

Abstract In the Kingdom of Saudi Arabia (KSA), thousands of plants are considered to have therapeutic value. The ambiguous use of identification mainly morphological characteristics of many plants has resulted in the adulteration and displacement of plant products which undermine their therapeutic value and weak documentation of plant resources. The aims of this study were therefore to evaluate genetic variability and explore the phylogeographic architecture for Saudi medicinal plant samples using rbcL and matK genes as barcodes for genomic identification. The matK and rbcL sequences collected for these samples were used as key markers for examining the relationship between Saudi medicinal… More >

Chung Le Van¹, Vikram Puri¹, Nguyen Thanh Thao², Dac-Nhuong Le^3,4,*

CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 17-33, 2021, DOI:10.32604/cmc.2020.013125

Abstract With the rapid growth of the autonomous system, deep learning has become integral parts to enumerate applications especially in the case of healthcare systems. Human body vertebrae are the longest and complex parts of the human body. There are numerous kinds of conditions such as scoliosis, vertebra degeneration, and vertebrate disc spacing that are related to the human body vertebrae or spine or backbone. Early detection of these problems is very important otherwise patients will suffer from a disease for a lifetime. In this proposed system, we developed an autonomous system that detects lumbar implants and diagnoses scoliosis from the… More >

Erdem Yavuz^1,∗, Rıfat Yazıcı², Mustafa Cem Kasapba¸sı², Turgay Tugay Bilgin¹

Computer Systems Science and Engineering, Vol.34, No.6, pp. 339-355, 2019, DOI:10.32604/csse.2019.34.339

Abstract This study proposes an efficient algorithm for improving flattening result of triangular mesh surface patches having a convex shape. The proposed approach, based on barycentric mapping technique, incorporates a dynamic virtual boundary, which considerably improves initial mapping result. The dynamic virtual boundary approach is utilized to reduce the distortions for the triangles near the boundary caused by the nature of convex combination technique. Mapping results of the proposed algorithm and the base technique are compared by area and shape accuracy metrics measured for several sample surfaces. The results prove the success of the proposed approach with respect to the base… 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 Network (CNN) model for our… More >

Laith Sawaqed¹, Khaled S. Hatamleh^1,2, Mohammad A. Jaradat^1,2, Qais Khasawneh^1,3

Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 507-515, 2018, DOI:10.31209/2018.100000039

Abstract Over the past few years, there has been a growing demand to develop efficient precision mechanisms for fine moving applications. Therefore, several piezoelectric driven mechanisms have been proposed for such applications. In this work an optimal synthesis of a four-bar mechanism with three PEAs is proposed. Two evolutionary multi-objective Genetic Algorithms (GAs) are formulated and applied; A Genetic Algorithm Synthesis method (GAS) is first used to obtain a synthesis solution for the mechanism regardless of power consumption. Then another Genetic Algorithm Minimum Power Synthesis method (GAMPS) is used to obtain the synthesis solution of minimum power consumption. For that purpose,… More >

Qais A. Khasawneh^1,3, Mohammad Abdel Kareem Jaradat^1,2, Mohammad Al-Shabi⁴, Hala Khalaf¹

Intelligent Automation & Soft Computing, Vol.24, No.2, pp. 443-457, 2018, DOI:10.31209/2018.100000008

Abstract This work presents a new micro-positioning system that is implemented in an inchworm robot to move into desired locations. The system consists of four-bar mechanism; one link is fixed, and each one of the remaining links carries a piezoelectric actuator (PZT). PZTs are specifically chosen since they provide fast response and small displacements; up to ±30 µm for ±100 Volts. The system’s mathematical model is derived and is numerically simulated by MATLAB. Three fuzzy PI controllers, which are tuned automatically by genetic algorithm, are designed to control the system. Results indicate an error of less than 1% although disturbances present. More >

Desheng Zheng^{1, *}, Ziyong Ran¹, Zhifeng Liu¹, Liang Li², Lulu Tian³

CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 1885-1895, 2020, DOI:10.32604/cmc.2020.010070

Abstract In the sorting system of the production line, the object movement, fixed angle of view, light intensity and other reasons lead to obscure blurred images. It results in bar code recognition rate being low and real time being poor. Aiming at the above problems, a progressive bar code compressed recognition algorithm is proposed. First, assuming that the source image is not tilted, use the direct recognition method to quickly identify the compressed source image. Failure indicates that the compression ratio is improper or the image is skewed. Then, the source image is enhanced to identify the source image directly. Finally,… More >

Han Jin¹, Shi Jin^{2, *}, Junfeng Wu²

Journal of Cyber Security, Vol.2, No.1, pp. 37-48, 2020, DOI:10.32604/jcs.2020.07209

Abstract Most existing 2-dimensional barcodes are designed with a fixed shape and clear area. Having a fixed shape and clear area makes the barcode difficult to lay out with other text and pictures. To solve this problem, an amorphous 2-dimensional barcode is presented in this paper. The barcode uses encoding graph units to encode data. There are two key points in a 2-dimensional barcode: One is the encoding graph unit, the other is its encoding rules. Because encoding graph units of a 2-dimensional barcode are surrounded by other graphics, the units should be self-positioned and distinguished from other units. This paper… More >

Xiangya Luo, Haiqing Ren, Yong Zhong^*

Journal of Renewable Materials, Vol.8, No.7, pp. 773-787, 2020, DOI:10.32604/jrm.2020.09414

Abstract To further verify the feasibility of newly designed reinforced bamboo scrimber composite (RBSC) beams used in building construction, the bonding properties between steel bar and bamboo scrimber were investigated by anti-pulling tests. Results indicated that the anti-pulling mechanical properties were signifi- cantly correlated to the diameter, thread form and buried depth of steel bar, forming density of bamboo scrimber as well as the heat treatment of bamboo bundle. There were two failure modes for anti-pulling tests: the tensile fracture and pulling out of steel bar. Both the ultimate load and average shear strength of anti-pulling specimen could be increased greatly… More >