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  • Open Access

    ARTICLE

    A Cross Layer Protocol for Fast Identification of Blocked Tags in Large-Scale RFID Systems

    Chu Chu1, Zhong Huang1, Rui Xu1, Guangjun Wen1, *, Lilan Liu2

    CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 1705-1724, 2020, DOI:10.32604/cmc.2020.010190

    Abstract Blocker tag attack is one of the denial-of-service (DoS) attacks that threatens the privacy and security of RFID systems. The attacker interferes with the blocked tag by simulating a fake tag with the same ID, thus causing a collision of message replies. In many practical scenarios, the number of blocked tags may vary, or even be small. For example, the attacker may only block the important customers or high-value items. To avoid the disclosure of privacy and economic losses, it is of great importance to fast pinpoint these blocked ones. However, existing works do not take into account the impact… More >

  • Open Access

    ARTICLE

    Impact Force Magnitude and Location Recognition of Composite Materials

    Yajie Sun1, 2, *, Yanqing Yuan2, Qi Wang2, Sai Ji1, 2, Lihua Wang3, Shao’en Wu4

    CMC-Computers, Materials & Continua, Vol.64, No.3, pp. 1647-1656, 2020, DOI:10.32604/cmc.2020.06331

    Abstract In order to identify the location and magnitude of the impact force accurately, determine the damage range of the structure and accelerate the health monitoring of key components of the composite, this paper studies the location and magnitude of the impact force of composite plates by an inverse method. Firstly, a PZT sensor mounted on the material plate is used to collect the response signal generated by the impact force, which is from several impact locations, and establish transfer functions between the impact location and the PZT sensor. Secondly, this paper applies several forces to any location on the material… More >

  • Open Access

    ARTICLE

    Research on the Pedestrian Re-Identification Method Based on Local Features and Gait Energy Images

    Xinliang Tang1, Xing Sun1, Zhenzhou Wang1, Pingping Yu1, Ning Cao2, *, Yunfeng Xu3

    CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1185-1198, 2020, DOI:10.32604/cmc.2020.010283

    Abstract The appearance of pedestrians can vary greatly from image to image, and different pedestrians may look similar in a given image. Such similarities and variabilities in the appearance and clothing of individuals make the task of pedestrian re-identification very challenging. Here, a pedestrian re-identification method based on the fusion of local features and gait energy image (GEI) features is proposed. In this method, the human body is divided into four regions according to joint points. The color and texture of each region of the human body are extracted as local features, and GEI features of the pedestrian gait are also… More >

  • Open Access

    ARTICLE

    Identification of adults with congenital heart disease of moderate or great complexity from administrative data

    Jill M. Steiner1, James N. Kirkpatrick1, Susan R. Heckbert2, Asma Habib1, James Sibley3, William Lober3, J. Randall Curtis3

    Congenital Heart Disease, Vol.13, No.1, pp. 65-71, 2018, DOI:10.1111/chd.12524

    Abstract Introduction: There is relatively sparse literature on the use of administrative datasets for research in patients with adult congenital heart disease (ACHD). The goal of this analysis is to examine the accuracy of administrative data for identifying patients with ACHD who died.
    Methods: A list of the International Classification of Diseases codes representing ACHD of moderate- or great-complexity was created. A search for these codes in the electronic health record of adults who received care in 2010–2016 was performed, and used state death records to identify patients who died during this period. Manual record review was completed to evaluate performance… More >

  • Open Access

    ARTICLE

    Identification of the Discrete Element Model Parameters for Rock-Like Brittle Materials

    Rui Chen1, 2, Yong Wang1, 2, Ruitao Peng1, 2, *, Shengqiang Jiang1, 2, Congfang Hu1, 2, Ziheng Zhao1, 2

    CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.2, pp. 717-737, 2020, DOI:10.32604/cmes.2020.07438

    Abstract An inverse method for parameters identification of discrete element model combined with experiment is proposed. The inverse problem of parameter identification is transmitted to solve an optimization problem by minimizing the distance between the numerical calculations and experiment responses. In this method, the discrete element method is employed as numerical calculator for the forward problem. Then, the orthogonal experiment design with range analysis was used to carry out parameters sensitivity analysis. In addition, to improve the computational efficiency, the approximate model technique is used to replace the actual computational model. The intergeneration projection genetic algorithm (IP-GA) is employed as the… More >

  • Open Access

    ARTICLE

    Tentative Identification of Phytochemicals and Antioxidant Activities during Fruit-Ripening on Chamaedorea radicalis Mart.

    Gerardo Montelongo-Ruíz1, Yolanda del Rocio Moreno-Ramírez1, María Cruz Juárez-Aragón1, Nohemí Niño-García2, Reyna Ivonne Torres-Acosta2, Torres-Castillo Jorge Ariel1,*

    Phyton-International Journal of Experimental Botany, Vol.89, No.2, pp. 361-373, 2020, DOI:10.32604/phyton.2020.08499

    Abstract This work aims to determine the phytochemical characterization of the pericarp of Chamaedorea radicalis Mart. fruit as a non-timber product with potential to obtain phytochemicals with potential applications in the industry. Fruit from C. radicalis were grouped in four ripening stages named as S1, S2, S3 and S4, according to maturity; S1 the most unripe stage and S4 the completely ripe stage. Determinations of total phenolic compounds, free radical scavenging activities and total flavonoid contents using spectrophotometric methods were done. Also, the tentative identification of phytochemicals during fruit ripening was done using UPLC-MS-MS. Total phenolic compound (TPC) content ranged from… More >

  • Open Access

    ARTICLE

    Genome-Wide Identification and Expression Profiling Suggest that Invertase Genes Function in Silique Development and the Response to Sclerotinia sclerotiorum in Brassica napus

    Jingsen Liu1,2, Jinqi Ma1,2, Ai Lin1,2, Chao Zhang1,2, Bo Yang1,2, Liyuan Zhang1,2, Lin Huang1,2, Jiana Li1,2,*

    Phyton-International Journal of Experimental Botany, Vol.89, No.2, pp. 253-273, 2020, DOI:10.32604/phyton.2020.09334

    Abstract Invertase (INV), a key enzyme in sucrose metabolism, irreversibly catalyzes the hydrolysis of sucrose to glucose and fructose, thus playing important roles in plant growth, development, and biotic and abiotic stress responses. In this study, we identified 27 members of the BnaINV family in Brassica napus. We constructed a phylogenetic tree of the family and predicted the gene structures, conserved motifs, cis-acting elements in promoters, physicochemical properties of encoded proteins, and chromosomal distribution of the BnaINVs. We also analyzed the expression of the BnaINVs in different tissues and developmental stages in the B. napus cultivar Zhongshuang 11 using qRT-PCR. In… More >

  • Open Access

    ARTICLE

    Genome-Wide Identification of the F-box Gene Family and Expression Analysis under Drought and Salt Stress in Barley

    Lantian Zhang, Siyi Wang, Yuyu Chen, Mengyuan Dong, Yunxia Fang, Xian Zhang, Tao Tong, Ziling Zhang, Junjun Zheng, Dawei Xue*, Xiaoqin Zhang*

    Phyton-International Journal of Experimental Botany, Vol.89, No.2, pp. 229-251, 2020, DOI:10.32604/phyton.2020.10022

    Abstract The F-box protein-encoding gene family plays an essential role in plant stress resistance. In present study, 126 non-redundant F-box genes were identified in barley (Hordeum vulgare L., Hv). The corresponding proteins contained 165– 887 amino acid residues and all were amphiphilic, except 5 proteins. Phylogenetic analysis of F-box protein sequences in barley and stress-related F-box protein sequences in wheat and Arabidopsis thaliana (At) was used to classify barley F-box genes are divided into 9 subfamilies (A–I). A structure-based sequence alignment demonstrated that F-box proteins were highly conserved with a total of 10 conserved motifs. In total, 124 F-box genes were… More >

  • Open Access

    ARTICLE

    Biomedical Event Extraction Using a New Error Detection Learning Approach Based on Neural Network

    Xiaolei Ma1, 2, Yang Lu1, 2, Yinan Lu1, *, Zhili Pei2, Jichao Liu3

    CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 923-941, 2020, DOI:10.32604/cmc.2020.07711

    Abstract Supervised machine learning approaches are effective in text mining, but their success relies heavily on manually annotated corpora. However, there are limited numbers of annotated biomedical event corpora, and the available datasets contain insufficient examples for training classifiers; the common cure is to seek large amounts of training samples from unlabeled data, but such data sets often contain many mislabeled samples, which will degrade the performance of classifiers. Therefore, this study proposes a novel error data detection approach suitable for reducing noise in unlabeled biomedical event data. First, we construct the mislabeled dataset through error data analysis with the development… More >

  • Open Access

    ARTICLE

    A Fast Method for Shortest-Path Cover Identification in Large Complex Networks

    Qiang Wei1, 2, *, Guangmin Hu1, Chao Shen3, Yunfei Yin4, 5

    CMC-Computers, Materials & Continua, Vol.63, No.2, pp. 705-724, 2020, DOI:10.32604/cmc.2020.07467

    Abstract Fast identifying the amount of information that can be gained by measuring a network via shortest-paths is one of the fundamental problem for networks exploration and monitoring. However, the existing methods are time-consuming for even moderate-scale networks. In this paper, we present a method for fast shortest-path cover identification in both exact and approximate scenarios based on the relationship between the identification and the shortest distance queries. The effectiveness of the proposed method is validated through synthetic and real-world networks. The experimental results show that our method is 105 times faster than the existing methods and can solve the shortest-path… More >

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