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  • Open Access

    ARTICLE

    A Multi-Scale Grasp Detector Based on Fully Matching Model

    Xinheng Yuan, Hao Yu, Houlin Zhang, Li Zheng, Erbao Dong*, Heng’an Wu*

    CMES-Computer Modeling in Engineering & Sciences, Vol.133, No.2, pp. 281-301, 2022, DOI:10.32604/cmes.2022.021383

    Abstract Robotic grasping is an essential problem at both the household and industrial levels, and unstructured objects have always been difficult for grippers. Parallel-plate grippers and algorithms, focusing on partial information of objects, are one of the widely used approaches. However, most works predict single-size grasp rectangles for fixed cameras and gripper sizes. In this paper, a multi-scale grasp detector is proposed to predict grasp rectangles with different sizes on RGB-D or RGB images in real-time for hand-eye cameras and various parallel-plate grippers. The detector extracts feature maps of multiple scales and conducts predictions on each scale independently. To guarantee independence… More >

  • Open Access

    ARTICLE

    Significant changes in arbuscular mycorrhizal community and soil physicochemical properties during the saline-alkali grassland vegetation succession

    YAJIE LIU, LINLIN FANG, CHUNXUE YANG*

    BIOCELL, Vol.46, No.11, pp. 2475-2488, 2022, DOI:10.32604/biocell.2022.021477

    Abstract Arbuscular mycorrhizal (AM) fungi are widely distributed in various habitats, and the community composition varies in response to the changing environmental conditions. To explore the response of community composition to the succession of saline-alkali land, soil samples were collected from three succession stages of Songnen saline-alkali grassland. Subsequently, the soil characteristics were determined and the AM fungi in soil samples were analyzed by high-throughput sequencing. Then, the response relationship between community composition and soil characteristics was studied by Canonical correlation and Pearson analyses. The soil properties improved with the succession of saline-alkali grassland. There was no significant difference in alpha… More >

  • Open Access

    ARTICLE

    Isolation and species diversity of arbuscular mycorrhizal fungi in the rhizosphere of Puccinellia tenuiflora of Songnen saline-alkaline grassland, China

    YUNHUI ZHOU, YAJIE LIU, WENNA ZHAO, FEI CHEN, YUDAN WANG, CHUNXUE YANG

    BIOCELL, Vol.46, No.11, pp. 2465-2474, 2022, DOI:10.32604/biocell.2022.021016

    Abstract Salinization has led to the deterioration of the ecological environment, affected the growth of plants, and hindered the development of agriculture and forestry. Arbuscular mycorrhizal (AM) fungi, as important soil microorganisms, play significant physiological and ecological roles in promoting plant nutrient absorption and improving soil structure. Puccinellia tenuiflora (Turcz.) Scribn. et Merr. in Songnen saline-alkaline grassland was selected as the research object to observe AM fungal colonization of the roots and explore the species and diversity of AM fungi in symbiotic association with P. tenuiflora. This study showed that AM fungi colonized in P. tenuiflora roots and formed a typical… More >

  • Open Access

    ARTICLE

    Characteristics of Desertification Change in Lake Basin Area in Gangcha County

    Wenzheng Yu1, Mingxuan Zhu1, Li Shao1, Yanbo Shen2,3,*, Haitao Liu1, Tianliang Chen1, Hanxiaoya Zhang4

    CMC-Computers, Materials & Continua, Vol.73, No.2, pp. 3771-3793, 2022, DOI:10.32604/cmc.2022.027094

    Abstract Qinghai Lake Basin area in Gangcha county is selected as the study area in terms of desertification change features in this paper. Based on the remote sensing (RS) and global positioning system (GPS) technologies, the desertification information range from 1989 to 2014 in the study area is extracted. Using the method of the decision tree, the desertification in the research area is been divided into four grades including mild desertification, moderate desertification, severe desertification and serious desertification. The change characteristics of desertification in the study area were analyzed in detail, which showed that the desertification in the study area experienced… More >

  • Open Access

    ARTICLE

    Optimal and Energy Effective Power Allocation Using Multi-Scale Resource GOA-DC-EM in DAS

    J. Rajalakshmi*, S. Siva Ranjani

    Intelligent Automation & Soft Computing, Vol.34, No.2, pp. 1049-1063, 2022, DOI:10.32604/iasc.2022.025127

    Abstract Recently many algorithms for allocation of power approaches have been suggested to increase the Energy Efficiency (EE) and Spectral Efficiency (EE) in the Distributed Antenna System (DAS). In addition, the method of conservation developed for the allocation of power is challenging for the enhancement because of their high complication during estimation. With the intention of increasing the EE and SE, the optimization of allocation of power is done on the basis of capacity of the antenna. The main goal is for the optimization of the power allocation to improve the spectral and energy efficiency with the increased capacity of the… More >

  • Open Access

    ARTICLE

    Enhanced Marathi Speech Recognition Facilitated by Grasshopper Optimisation-Based Recurrent Neural Network

    Ravindra Parshuram Bachate1, Ashok Sharma2, Amar Singh3, Ayman A. Aly4, Abdulaziz H. Alghtani4, Dac-Nhuong Le5,6,*

    Computer Systems Science and Engineering, Vol.43, No.2, pp. 439-454, 2022, DOI:10.32604/csse.2022.024214

    Abstract Communication is a significant part of being human and living in the world. Diverse kinds of languages and their variations are there; thus, one person can speak any language and cannot effectively communicate with one who speaks that language in a different accent. Numerous application fields such as education, mobility, smart systems, security, and health care systems utilize the speech or voice recognition models abundantly. Though, various studies are focused on the Arabic or Asian and English languages by ignoring other significant languages like Marathi that leads to the broader research motivations in regional languages. It is necessary to understand… More >

  • Open Access

    ARTICLE

    Hybrid Invasive Weed Improved Grasshopper Optimization Algorithm for Cloud Load Balancing

    K. Naveen Durai*, R. Subha, Anandakumar Haldorai

    Intelligent Automation & Soft Computing, Vol.34, No.1, pp. 467-483, 2022, DOI:10.32604/iasc.2022.026020

    Abstract In cloud computing, the processes of load balancing and task scheduling are major concerns as they are the primary mechanisms responsible for executing tasks by allocating and utilizing the resources of Virtual Machines (VMs) in a more optimal way. This problem of balancing loads and scheduling tasks in the cloud computing scenario can be categorized as an NP-hard problem. This problem of load balancing needs to be efficiently allocated tasks to VMs and sustain the trade-off among the complete set of VMs. It also needs to maintain equilibrium among VMs with the objective of maximizing throughput with a minimized time… More >

  • Open Access

    ARTICLE

    Data Offloading in the Internet of Vehicles Using a Hybrid Optimization Technique

    A. Backia Abinaya1,*, G. Karthikeyan2

    Intelligent Automation & Soft Computing, Vol.34, No.1, pp. 325-338, 2022, DOI:10.32604/iasc.2022.020896

    Abstract The Internet of Vehicles (IoV) is utilized for collecting enormous real time information driven traffics and alert drivers depending on situations. In recent times, all smart vehicles are developed with IoT devices. These devices communicate with a radio access unit (RAU) at road side. Moreover, a 5G system is equipped with a base station and connection interfaces that use optic fiber for their effective communication. For a fast mode of communication, the IoV must offload its data to the nearest edge nodes. The main problem with the IoV is that it generates enormous data which is offloaded randomly during the… More >

  • Open Access

    ARTICLE

    Grasshopper KUWAHARA and Gradient Boosting Tree for Optimal Features Classifications

    Rabab Hamed M. Aly1,*, Aziza I. Hussein2, Kamel H. Rahouma3

    CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 3985-3997, 2022, DOI:10.32604/cmc.2022.025862

    Abstract This paper aims to design an optimizer followed by a Kawahara filter for optimal classification and prediction of employees’ performance. The algorithm starts by processing data by a modified K-means technique as a hierarchical clustering method to quickly obtain the best features of employees to reach their best performance. The work of this paper consists of two parts. The first part is based on collecting data of employees to calculate and illustrate the performance of each employee. The second part is based on the classification and prediction techniques of the employee performance. This model is designed to help companies in… More >

  • Open Access

    ARTICLE

    Enhance Egocentric Grasp Recognition Based Flex Sensor Under Low Illumination

    Chana Chansri, Jakkree Srinonchat*

    CMC-Computers, Materials & Continua, Vol.71, No.3, pp. 4377-4389, 2022, DOI:10.32604/cmc.2022.024026

    Abstract Egocentric recognition is exciting computer vision research by acquiring images and video from the first-person overview. However, an image becomes noisy and dark under low illumination conditions, making subsequent hand detection tasks difficult. Thus, image enhancement is necessary to make buried detail more visible. This article addresses the challenge of egocentric hand grasp recognition in low light conditions by utilizing the flex sensor and image enhancement algorithm based on adaptive gamma correction with weighting distribution. Initially, a flex sensor is installed to the thumb for object manipulation. The thumb placement that holds in a different position on the object of… More >

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