Do-kyeong Lee¹, Tae-won Kim², Yoo-joo Choi², Min Hong^3,*

Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1541-1556, 2022, DOI:10.32604/iasc.2022.020674

Abstract In real-time contents, such as games and interactive simulators, it is very important to reduce the amount of simulation computation of 3D deformable objects. Although position-based dynamics has been proposed to reduce the amount of computation, the number of nodes for the tetrahedral model to represent a volumetric deformable object has to be increased, which makes the real-time simulation difficult. Therefore, this paper proposes an Internal shape preserving constraint(ISPC) generation algorithm integrated into the position-based dynamics to represent the physical properties of the 3D volumetric deformable object, while reducing the number of nodes filling the interior of the object. The… More >

E. Elamaran^1,*, B. Sudhakar²

Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1467-1477, 2022, DOI:10.32604/iasc.2022.020625

Abstract Essential components in wireless systems are schedulin and resource allocation. The problems in scheduling refers to inactive users in a given time slot and in terms of resource allocation it refers to the issues in the allocation of physical layer resources such as power and bandwidth among the active users. In the Long Time Evolution (LTE) downlink scheduling the optimized problem refers to the flow deadlines that incorporate the formulation in the surveyed scheduling algorithm for achieving enhanced performance levels. The major challenges appear in the areas of quality and bandwidth constrains in the video processing sectors in 5G. The… More >

D. Arivudainambi¹, S. Mangairkarasi^1,*, K. A. Varun Kumar²

Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1525-1540, 2022, DOI:10.32604/iasc.2022.020463

Abstract Cognitive Radio (CR) aims to achieve efficient utilization of scarcely available radio spectrum. Spectrum sensing in CR is a basic process for identifying the existence or absence of primary users. In spectrum sensing, CR users suffer from deep fading effects and it requires additional sensing time to identify the primary user. To overcome these challenges, we frame Spectrum Prediction-Channel Allocation (SP-CA) algorithm which consists of three phases. First, clustering mechanisms to select the spectrum coordinator. Second, Eigenvalue based detection method to expand the sensing accuracy of the secondary user. Third, Bayesian inference approach to reduce the performance degradation of the… More >

Naglaa. F. Soliman^1,*, Samia M. Abd-Alhalem², Walid El-Shafai², Salah Eldin S. E. Abdulrahman³, N. Ismaiel³, El-Sayed M. El-Rabaie², Abeer D. Algarni¹, Fatimah Algarni⁴, Amel A. Alhussan⁵, Fathi E. Abd El-Samie^1,2

Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1881-1891, 2022, DOI:10.32604/iasc.2022.017683

Abstract Recently, deep learning has opened a remarkable research direction in the track of bioinformatics, especially for the applications that need classification and regression. With deep learning techniques, DNA sequences can be classified with high accuracy. Firstly, a DNA sequence should be represented, numerically. After that, DNA features are extracted from the numerical representations based on deep learning techniques to improve the classification process. Recently, several architectures have been developed based on deep learning for DNA sequence classification. Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) are the default deep learning architectures used for this task. This paper presents a… More >

Chih-Fang Huang^1,*, Cheng-Yuan Huang²

Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1939-1953, 2022, DOI:10.32604/iasc.2022.017559

Abstract Musical emotion is important for the listener’s cognition. A smooth emotional expression generated through listening to music makes driving a car safer. Music has become more diverse and prolific with rapid technological developments. However, the cost of music production remains very high. At present, because the cost of music creation and the playing copyright are still very expensive, the music that needs to be listened to while driving can be executed by the way of automated composition of AI to achieve the purpose of driving safety and convenience. To address this problem, automated AI music composition has gradually gained attention… More >

Sobia Pervaiz¹, Waqas Haider Bangyal², Adnan Ashraf³, Kashif Nisar^4,*, Muhammad Reazul Haque⁵, Ag. Asri Bin Ag. Ibrahim⁴, BS Chowdhry⁶, Waqas Rasheed⁷, Joel J. P. C. Rodrigues^8,9, Richard Etengu⁵, Danda B. Rawat¹⁰

Intelligent Automation & Soft Computing, Vol.32, No.3, pp. 1427-1444, 2022, DOI:10.32604/iasc.2022.017304

Abstract In existing meta-heuristic algorithms, population initialization forms a huge part towards problem optimization. These calculations can impact variety and combination to locate a productive ideal arrangement. Especially, for perceiving the significance of variety and intermingling, different specialists have attempted to improve the presentation of meta-heuristic algorithms. Particle Swarm Optimization (PSO) algorithm is a populace-based, shrewd stochastic inquiry strategy that is motivated by the inherent honey bee swarm food search mechanism. Population initialization is an indispensable factor in the PSO algorithm. To improve the variety and combination factors, rather than applying the irregular circulation for the introduction of the populace, semi-arbitrary… More >

Hans Christian Correa-Aguado^1,3, Gloria Viviana Cerrillo-Rojas¹, Alejandro Rocha-Uribe², Ruth Elena Soria-Guerra², José Francisco Morales-Domínguez^1,*

Phyton-International Journal of Experimental Botany, Vol.91, No.4, pp. 903-903, 2022, DOI:10.32604/phyton.2022.020625

Abstract This article has no abstract. More >

Mahmoud F. Seleiman^1,2,#,*, Muhammad Talha Aslam^3,#, Bushra Ahmed Alhammad⁴, Muhammad Umair Hassan⁵, Rizwan Maqbool³, Muhammad Umer Chattha³, Imran Khan³, Harun Ireri Gitari⁶, Omer S. Uslu⁷, Rana Roy⁸, Martin Leonardo Battaglia⁹

Phyton-International Journal of Experimental Botany, Vol.91, No.4, pp. 667-694, 2022, DOI:10.32604/phyton.2022.017365

Abstract Salinity stress is a major threat to global food production and its intensity is continuously increasing because of anthropogenic activities. Wheat is a staple food and a source of carbohydrates and calories for the majority of people across the globe. However, wheat productivity is adversely affected by salt stress, which is associated with a reduction in germination, growth, altered reproductive behavior and enzymatic activity, disrupted photosynthesis, hormonal imbalance, oxidative stress, and yield reductions. Thus, a better understanding of wheat (plant) behavior to salinity stress has essential implications to devise counter and alleviation measures to cope with salt stress. Different approaches… More >

Wuzhong Yin^#, Hongxia Yang^#, Yantong Wang, Ping Feng, Yao Deng, Yang Liu, Danyang Chen, Yijie Ban, Weichi Liu, Guanghua He^*, Nan Wang^*

Phyton-International Journal of Experimental Botany, Vol.91, No.4, pp. 727-744, 2022, DOI:10.32604/phyton.2022.017811

Abstract The mitogen-activated protein kinase (MAPK) cascade is important in stress signal transduction and plant development. In the present study, we identified a rice (Oryza sativa L.) mutant with reduced fertility, Oryza sativa mitogen-activated protein kinase 6 (osmapk6), which harbored a mutated MAPK gene. Scanning and transmission electron microscopy, quantitative RT-PCR analysis, TUNEL assays, RNA in situ hybridization, longitudinal and transverse histological sectioning, and map-based cloning were performed to characterize the osmapk6 mutant. The gene OsMAPK6 was expressed throughout the plant but predominantly in the microspore mother cells, tapetal cells, and microspores in the anther sac. Compared with the wild type,… More >

Cunyang Niu, Wenkai Shou, Li Ma, Jianqiang Qian^*

Phyton-International Journal of Experimental Botany, Vol.91, No.4, pp. 811-825, 2022, DOI:10.32604/phyton.2022.019386

Abstract Urban trees are sensitive to extreme weather events under climate change. Freeze-thaw induced hydraulic failure could induce urban tree dieback and nullify the services they provide. Plant height is a simple but significant trait for plant ecological strategies. Understanding how urban trees with different heights adapt to freeze-thaw stress is increasingly important under climate change. We investigated the relationship between tree height and stem hydraulic functional traits of six common urban tree species in North China to explore tree height-related hydraulic strategies to cope with freeze-thaw stress. Results showed that tall trees had wider vessels, higher hydraulic conductivity, more winter… More >