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  • Open Access


    A Novel Framework for Biomedical Text Mining

    Janyl Jumadinova1, Oliver Bonham-Carter1, Hanzhong Zheng1,2,*, Michael Camara1, Dejie Shi3

    Journal on Big Data, Vol.2, No.4, pp. 145-155, 2020, DOI:10.32604/jbd.2020.010090

    Abstract Text mining has emerged as an effective method of handling and extracting useful information from the exponentially growing biomedical literature and biomedical databases. We developed a novel biomedical text mining model implemented by a multi-agent system and distributed computing mechanism. Our distributed system, TextMed, comprises of several software agents, where each agent uses a reinforcement learning method to update the sentiment of relevant text from a particular set of research articles related to specific keywords. TextMed can also operate on different physical machines to expedite its knowledge extraction by utilizing a clustering technique. We collected the biomedical textual data from… More >

  • Open Access


    An Importance Assessment Model of Open-Source Community Java Projects Based on Domain Knowledge Graph

    Chengrong Yang1, Rongjing Bu2, Yan Kang2, Yachuan Zhang2, Hao Li2,*, Tao Li2, Junfeng Li2

    Journal on Big Data, Vol.2, No.4, pp. 135-144, 2020, DOI:10.32604/jbd.2020.010000

    Abstract With the rise of open-source software, the social development paradigm occupies an indispensable position in the current software development process. This paper puts forward a variant of the PageRank algorithm to build the importance assessment model, which provides quantifiable importance assessment metrics for new Java projects based on Java open-source projects or components. The critical point of the model is to use crawlers to obtain relevant information about Java open-source projects in the GitHub open-source community to build a domain knowledge graph. According to the three dimensions of the Java opensource project’s project influence, project activity and project popularity, the… More >

  • Open Access


    A Method of Disc Inclination Correction Based on the Inversion Model of Rotation Law

    Yanan Zhang1,*, Lin Ouyang2, Qinqin Li2, Haichen Ju2

    Journal on Big Data, Vol.2, No.3, pp. 125-133, 2020, DOI:10.32604/jbd.2020.012879

    Abstract Under the traditional dynamic model, the conventional method for solving the rotation angle of a rigid body is to use the fixed-axis rotation law of the rigid body, but the known rotation shaft position must be used as a prerequisite. In practical work, for the rotation of a rigid body under multiple forces, solving the shaft is often a difficult problem. In this paper, we consider the rigid body of the disc is subjected to the force of uneven magnitude from multiple angles, the position of the rotating shaft is obtained by iterative inversion through the rigid body rotation law… More >

  • Open Access


    Design and Implementation of Open Source Online Evaluation System Based on Cloud Platform

    Zuwei Tian*, Shubo Tian, Tuo Wang, Zhen Gong, Zhenqin Jiang

    Journal on Big Data, Vol.2, No.3, pp. 117-123, 2020, DOI:10.32604/jbd.2020.011420

    Abstract In order to provide a good practice platform for the program design contestants and algorithm enthusiasts, this paper designs and implements a programming online evaluation system based on cloud platform, which is a web system that can return the test results of the program source codes submitted by users in real time. It realizes the automatic evaluation of the program design training questions. The system is implemented by the way of front-end and backend separation and modular programming. The front-end of the web is implemented by Vue framework, the back-end is implemented by Django framework. The judgment core is written… More >

  • Open Access


    Workload Allocation Based on User Mobility in Mobile Edge Computing

    Tengfei Yang1,2, Xiaojun Shi3, Yangyang Li1,*, Binbin Huang4, Haiyong Xie1,5, Yanting Shen4

    Journal on Big Data, Vol.2, No.3, pp. 105-115, 2020, DOI:10.32604/jbd.2020.010958

    Abstract Mobile Edge Computing (MEC) has become the most possible network architecture to realize the vision of interconnection of all things. By offloading compute-intensive or latency-sensitive applications to nearby small cell base stations (sBSs), the execution latency and device power consumption can be reduced on resource-constrained mobile devices. However, computation delay of Mobile Edge Network (MEN) tasks are neglected while the unloading decision-making is studied in depth. In this paper, we propose a workload allocation scheme which combines the task allocation optimization of mobile edge network with the actual user behavior activities to predict the task allocation of single user. We… More >

  • Open Access


    Multi-Modality Video Representation for Action Recognition

    Chao Zhu1, Yike Wang1, Dongbing Pu1,Miao Qi1,*, Hui Sun2,*, Lei Tan3,*

    Journal on Big Data, Vol.2, No.3, pp. 95-104, 2020, DOI:10.32604/jbd.2020.010431

    Abstract Nowadays, action recognition is widely applied in many fields. However, action is hard to define by single modality information. The difference between image recognition and action recognition is that action recognition needs more modality information to depict one action, such as the appearance, the motion and the dynamic information. Due to the state of action evolves with the change of time, motion information must be considered when representing an action. Most of current methods define an action by spatial information and motion information. There are two key elements of current action recognition methods: spatial information achieved by sampling sparsely on… More >

  • Open Access


    Research on the Best Shooting State Based on the “Three Forces” Model

    Xuguang Liu1, Ruqing Zhao2, Qifei Chen2, Ming Shi3, Ziling Xing2, Yanan Zhang4,*

    Journal on Big Data, Vol.2, No.2, pp. 85-93, 2020, DOI:10.32604/jbd.2020.013845

    Abstract The shooting state during shooting refers to the basketball’s shooting speed, shooting angle and the ball’s rotation speed. The basketball flight path is also related to these factors. In this paper, based on the three forces of Gravity, Air Resistance and Magnus Force, the “Three Forces” model is established, the Kinetic equations are derived, the basketball flight trajectory is solved by simulation, and the best shot state when shooting is obtained through the shooting percentage. Compared with the “Single Force” model that only considers Gravity, the shooting percentage of the “Three Forces” model is higher. The reason is that the… More >

  • Open Access


    A Survey on Adversarial Examples in Deep Learning

    Kai Chen1,*, Haoqi Zhu2, Leiming Yan1, Jinwei Wang1

    Journal on Big Data, Vol.2, No.2, pp. 71-84, 2020, DOI:10.32604/jbd.2020.012294

    Abstract Adversarial examples are hot topics in the field of security in deep learning. The feature, generation methods, attack and defense methods of the adversarial examples are focuses of the current research on adversarial examples. This article explains the key technologies and theories of adversarial examples from the concept of adversarial examples, the occurrences of the adversarial examples, the attacking methods of adversarial examples. This article lists the possible reasons for the adversarial examples. This article also analyzes several typical generation methods of adversarial examples in detail: Limited-memory BFGS (L-BFGS), Fast Gradient Sign Method (FGSM), Basic Iterative Method (BIM), Iterative Least-likely… More >

  • Open Access


    Research on the Development of Project Cost Informatization in the Era of Big Data

    Huiyu Long1, Yan Ma1, Xiang Mao1, Xinyuerong Sun2,*

    Journal on Big Data, Vol.2, No.2, pp. 63-70, 2020, DOI:10.32604/jbd.2020.011214

    Abstract Under the background of big data, Informatization plays an important role in the development of the engineering cost industry. The rapid development of the industry and the increasing complexity of construction projects require higher standards of informatization. The current information processing methods and models have been difficultly to meet new requirements. Based on this, this study deeply analyzes the key factors that impede the informatization of engineering cost development, and tries to find corresponding solutions through theoretical analysis and empirical research to break these constraints. This will play a guiding role in the development of informatization in China's engineering cost… More >

  • Open Access


    Research on Copyright Protection Method of Material Genome Engineering Data Based on Zero-Watermarking

    Lulu Cui2,3,*, Yabin Xu1,2,3

    Journal on Big Data, Vol.2, No.2, pp. 53-62, 2020, DOI:10.32604/jbd.2020.010590

    Abstract In order to effectively solve the problem of copyright protection of materials genome engineering data, this paper proposes a method for copyright protection of materials genome engineering data based on zero-watermarking technology. First, the important attribute values are selected from the materials genome engineering database; then, use the method of remainder to group the selected attribute values and extract eigenvalues; then, the eigenvalues sequence is obtained by the majority election method; finally, XOR the sequence with the actual copyright information to obtain the watermarking information and store it in the third-party authentication center. When a copyright dispute requires copyright authentication… More >

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