Chijiang Gu^*, Mingyuan Zhang^*, Weiliang Sun^*, Changzheng Dong^†

Oncology Research, Vol.27, No.5, pp. 515-524, 2019, DOI:10.3727/096504018X15166183598572

Abstract Colorectal cancer (CRC) is a common clinical cancer that remains incurable in most cases. miRNAs are reported to play a part in the development of various tumors. In the present study, we found that miR-324-5p was downregulated in CRC cells, while ELAV (embryonic lethal, abnormal vision, Drosophila)-like protein 1 (ELAVL1) showed a higher expression. miR-324-5p transfection significantly inhibited the proliferation as well as invasion in both SW620 and SW480 cells. miR-324-5p mimic transfection markedly decreased the expression of ELAVL1. Luciferase reporter gene assay confirmed that ELAVL1 is a direct target of miR- 324-5p. Furthermore, cancer invasion More >

DU Zhen-Yuan

Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 847-853, 2019, DOI:10.31209/2019.100000088

Abstract Big data’s fast growth and development has triggered the attention of academic circles. Most of the studies are focusing on the concept of personal data, the definition of data rights, etc. In China, the current status of laws protecting personal data is still scarce and incomplete, relying on specific regulations that are lacking an overall architecture, which has not been efficient in the age of rapid development and application of big data. In the western countries with relatively mature personal data supervision system, the supervision principle is centered on the data subject, and it is More >

Li-Hong Juang¹, Shengxiang Zhang²

Intelligent Automation & Soft Computing, Vol.25, No.3, pp. 451-458, 2019, DOI:10.31209/2019.100000126

Abstract Intelligent robots are the combination of computer engineering, software engineering, control engineering, electronic engineering, mechanical engineering, and systems design engineering in order to design, and manufacture useful products. In this paper, the author derives some novel computing and algorithm applications on computer vision and image processing and intelligent control and navigation of mobile robots for the intelligent service robot system. In this paper, we proposed an idea of flexible design for a intelligent service robot, which refers to a single robot with a variety of flexure structure. We presented an integrated system for vision-guided finding More >

Borja Bordel^a, Ramon Alcarria^b, Diego Martín^a, Álvaro Sánchez-Picot^a

Intelligent Automation & Soft Computing, Vol.25, No.1, pp. 155-170, 2019, DOI:10.31209/2018.100000052

Abstract The Internet-of-Things (IoT) paradigm faces new and genuine challenges and problems associated, mainly, with the ubiquitous access to the Internet, the huge number of devices involved and the heterogeneity of the components making up this new global network. In this context, protecting these systems against cyberattacks and cybercrimes has turn into a basic issue. In relation to this topic, most proposed solutions in the literature are focused on security; however other aspects have to be considered (such as privacy or trust). Therefore, in this paper we define a theoretical framework for trust in IoT scenarios, More >

Hyun Kyu Shin¹, Yong Han Ahn², Sang Hyo Lee³, Ha Young Kim^4,*

CMC-Computers, Materials & Continua, Vol.61, No.3, pp. 911-928, 2019, DOI:10.32604/cmc.2019.08269

Abstract Compressive strength of concrete is a significant factor to assess building structure health and safety. Therefore, various methods have been developed to evaluate the compressive strength of concrete structures. However, previous methods have several challenges in costly, time-consuming, and unsafety. To address these drawbacks, this paper proposed a digital vision based concrete compressive strength evaluating model using deep convolutional neural network (DCNN). The proposed model presented an alternative approach to evaluating the concrete strength and contributed to improving efficiency and accuracy. The model was developed with 4,000 digital images and 61,996 images extracted from video More >

Ruijiao Yin¹, Jie Yang^1,*

Journal on Artificial Intelligence, Vol.1, No.1, pp. 37-44, 2019, DOI:10.32604/jai.2019.05815

Abstract Based on the understanding of machine vision localization technology at home and abroad, this paper outlines the overall design of the system, and analyses the working principle and workflow of the robot with vision system in workpiece grinding. The hardware design of the system is introduced. The process of image processing is analyzed in detail, and the results of image processing are given. The basic parameters of camera imaging are taken as internal parameters. The camera calibration is obtained by rotation matrix R and translation parameter T. The coordinate transformation of camera coordinate system and More >

Yan Chang^1,*, Shibin Zhang¹, Lili Yan¹, Guihua Han¹, Haiquan Song¹, Yan Zhang¹, Xueyang Li¹, Qirun Wang²

CMC-Computers, Materials & Continua, Vol.59, No.3, pp. 1005-1014, 2019, DOI:10.32604/cmc.2019.06297

Abstract Quantum authorization management (QAM) is the quantum scheme for privilege management infrastructure (PMI) problem. Privilege management (authorization management) includes authentication and authorization. Authentication is to verify a user’s identity. Authorization is the process of verifying that a authenticated user has the authority to perform a operation, which is more fine-grained. In most classical schemes, the authority management center (AMC) manages the resources permissions for all network nodes within the jurisdiction. However, the existence of AMC may be the weakest link of the whole scheme. In this paper, a protocol for QAM without AMC is proposed More >

Xiang Li¹, Mei-E Fang^1,2,*, QIan Qi²

CMES-Computer Modeling in Engineering & Sciences, Vol.120, No.1, pp. 45-62, 2019, DOI:10.32604/cmes.2019.05659

Abstract In this article, we adopt the C-type spline of degree 2 to model and blend basic shapes including conics and circle arcs. The C-type spline belongs to the ωB-spline category of splines that are capable of blending polynomial, trigonometric and hyperbolic functions. Commonly used basic shapes can be exactly represented by these types of splines. We derive explicit formulas for the convenience of modeling the basic curves. The entire blending curve is C¹-continuous. In comparison with the existing best blending method by rational G² splines, which are rational splines of degree 3, the proposed method allows simpler… More >

Daojian Zeng^1,2, Yao Xiao^1,2, Jin Wang^2,*, Yuan Dai^1,2, Arun Kumar Sangaiah³

CMC-Computers, Materials & Continua, Vol.60, No.3, pp. 1251-1261, 2019, DOI:10.32604/cmc.2019.06100

Abstract Recently, many researchers have concentrated on distant supervision relation extraction (DSRE). DSRE has solved the problem of the lack of data for supervised learning, however, the data automatically labeled by DSRE has a serious problem, which is class imbalance. The data from the majority class obviously dominates the dataset, in this case, most neural network classifiers will have a strong bias towards the majority class, so they cannot correctly classify the minority class. Studies have shown that the degree of separability between classes greatly determines the performance of imbalanced data. Therefore, in this paper we More >

Li-Hong Juang^a, Ming-Ni Wu^b, Feng-Mao Tsou^b

Intelligent Automation & Soft Computing, Vol.24, No.4, pp. 739-745, 2018, DOI:10.1080/10798587.2017.1327549

Abstract Kinect(+openCV); Dynamic portrait segmentation; Skeletal tracking; Edge transparent processing; Video interactive More >