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  • Open Access

    ARTICLE

    Simulation of Real‐Time Path Planning for Large‐Scale Transportation Network Using Parallel Computation

    Jiping Liua,b, Xiaochen Kanga,*, Chun Donga, Fuhao Zhanga

    Intelligent Automation & Soft Computing, Vol.25, No.1, pp. 65-77, 2019, DOI:10.31209/2018.100000013

    Abstract To guarantee both the efficiency and accuracy of the transportation system, the real-time status should be analyzed to provide a reasonable plan for the near future. This paper proposes a model for simulating the real-world transportation networks by representing the irregular road networks with static and dynamic attributes, and the vehicles as moving agents constrained by the road networks. The all pairs shortest paths (APSP) for the networks are calculated in a real-time manner, and the ever-changing paths can be used for navigating the moving vehicles with real-time positioning devices. In addition, parallel computation is used to accelerate the shortest… More >

  • Open Access

    ARTICLE

    Formal Modelling of Real-Time Self-Adaptive Multi-Agent Systems

    Awais Qasima, Syed Asad Raza Kazmib

    Intelligent Automation & Soft Computing, Vol.25, No.1, pp. 49-63, 2019, DOI:10.31209/2018.100000012

    Abstract The paradigm of multi-agent systems is very expressive to model distributed real-time systems. These real-time multi-agent systems by their working nature have temporal constraints as they need to operate in pervasive, dynamic and unpredictable environments. To achieve better fault-tolerance, they need to have the ability of self-adaptivity making them adaptable to the failures. Presently there is a lack of vocabulary for the formal modelling of real-time multi-agent systems with self-adaptive ability. In this research we proposed a framework named SMARTS for the formal modelling of self-adaptive real-time multi-agent systems. Our framework integrates MAPE-K interfaces, reflection perspective and unification with distribution… More >

  • Open Access

    ARTICLE

    A Distributed Heterogeneous Inspection System for High Performance Inline Surface Defect Detection

    Yu-Cheng Chou1, Wei-Chieh Liao2, Yan-Liang Chen2, Ming Chang2, Po Ting Lin3

    Intelligent Automation & Soft Computing, Vol.25, No.1, pp. 79-90, 2019, DOI:10.31209/2018.100000011

    Abstract This paper presents the Distributed Heterogeneous Inspection System (DHIS), which comprises two CUDA workstations and is equipped with CPU distributed computing, CPU concurrent computing, and GPU concurrent computing functions. Thirty-two grayscale images, each with 5,000× 12,288 pixels and simulated defect patterns, were created to evaluate the performances of three system configurations: (1) DHIS; (2) two CUDA workstations with CPU distributed computing and GPU concurrent computing; (3) one CUDA workstation with GPU concurrent computing. Experimental results indicated that: (1) only DHIS can satisfy the time limit, and the average turnaround time of DHIS is 37.65% of the time limit; (2) a… More >

  • Open Access

    ARTICLE

    An Improved K-nearest Neighbor Algorithm Using Tree Structure and Pruning Technology

    Juan Li

    Intelligent Automation & Soft Computing, Vol.25, No.1, pp. 35-48, 2019, DOI:10.31209/2018.100000003

    Abstract K-Nearest Neighbor algorithm (KNN) is a simple and mature classification method. However there are susceptible factors influencing the classification performance, such as k value determination, the overlarge search space, unbalanced and multi-class patterns, etc. To deal with the above problems, a new classification algorithm that absorbs tree structure, tree pruning and adaptive k value method was proposed. The proposed algorithm can overcome the shortcoming of KNN, improve the performance of multi-class and unbalanced classification, reduce the scale of dataset maintaining the comparable classification accuracy. The simulations are conducted and the proposed algorithm is compared with several existing algorithms. The results… More >

  • Open Access

    ARTICLE

    Analysis of the Effects of Different Surgical Procedures for the Treatment of Thyroid Cancer on the Expression Levels of IL-17, IL-35, and SIL-2R and the Prognostic Factors

    Chuanwei Xu1, Renju Ding2, Chuanping Xu3,*

    Oncologie, Vol.22, No.1, pp. 43-51, 2020, DOI:10.32604/oncologie.2020.012445

    Abstract To analyze the effects of different surgical procedures for the treatment of thyroid cancer on the expression levels of serum interleukin-17 (IL-17), IL-35, soluble interleukin-2 receptor (SIL-2R), and the prognostic factors. Seventy-eight patients with differentiated thyroid cancer were selected and grouped as control group (CG) (n = 39, underwent subtotal thyroidectomy) and observation group (OG) (n = 39, underwent total thyroidectomy). The serum IL-17, IL-35, and SIL- 2R expression levels; the incidence of complications; and the differentiated thyroid carcinoma (DTC) relapse rate were compared between the two groups. The serum IL-17 and SIL-2R levels were lower in the OG than… More >

  • Open Access

    ARTICLE

    Diagnostic Performance of Serum miR-586 and miR-493 in Patients with Osteosarcoma

    Hao Dang*

    Oncologie, Vol.22, No.1, pp. 35-42, 2020, DOI:10.32604/oncologie.2020.012485

    Abstract This study aimed to explore the expression and diagnostic performance of miR-586 and miR-493 in patients with osteosarcoma. We enrolled 63 patients with osteosarcoma treated between May 2016 and May 2019 as the experimental group and 55 healthy volunteers who underwent physical examination during the same period as the control group. We detected miR-586 and miR-493 expression in serum, normal bone tissue, and tumor samples. We also evaluated the relationship between clinical indicators and the miR-586 and miR-493 expression levels. The correlation between the serum and osteosarcoma tissue expression of miR-586 and miR-493 was examined by Pearson analysis. Furthermore, the… More >

  • Open Access

    ARTICLE

    Expression Changes, Prognostic Analysis and Risk Factors of miR-625-3p and miR-449a in Osteosarcoma Patients after Surgery

    Hui Zhang, Zhan Wang, Lin Liu, Fuqiang Zhang, Yuxin Song, Yaowen Qian*

    Oncologie, Vol.22, No.1, pp. 23-33, 2020, DOI:10.32604/oncologie.2020.012493

    Abstract The expression changes of miR-625-3p and miR-449a in osteosarcoma patients after surgery is the critical study in this paper. Analysis of their prognosis and risk factors can be helpful in understanding the prognostic value for clinical purposes. Fifty-eight patients with osteosarcoma diagnosed in our hospital were considered as the research group (RG), and 52 health subjects at the same time were collected as the control group (CG). Fluorescence quantitative PCR (RTPCR) was employed to test the expression levels of miR-625-3p and miR-449a in the serum of subjects in both groups before surgery and patients in the RG after surgery. The… More >

  • Open Access

    ARTICLE

    Effects of Dexmedetomidine Combined with Remifentanil Anesthesia and Propofol Combined with Remifentanil Anesthesia on Perioperative Inflammatory Response and Pulmonary Function in Patients with Lung Cancer

    Siqiang Tian1,#, Yao Jiang2,#, Ying Wang1, Jie Song1,*

    Oncologie, Vol.22, No.1, pp. 13-21, 2020, DOI:10.32604/oncologie.2020.012492

    Abstract To explore the effects of dexmedetomidine combined with remifentanil anesthesia and propofol combined with remifentanil anesthesia on perioperative inflammatory response and pulmonary function in patients with lung cancer. Totally 128 patients admitted to our hospital for lung cancer surgery were taken as the research object of this experiment. Among them, 67 cases were sedated with dexmedetomidine combined with remifentanil (Group A), and 61 cases were sedated with propofol combined with remifentanil (Group B). The changes of vital signs, respiratory interval (RR), blood oxygen saturation (SpO2) and blood sugar before and after sedation were recorded. The changes of inflammatory factors TNF-α,… More >

  • Open Access

    ARTICLE

    Sinomenium Inhibits the Viability of Hepatoma Carcinoma Cells through Activating IFNA2

    Jingjing He1,2, Lingyi Zhang2, Dan Guo3, Xingwen Han4, Hui Zhang5, Liang Wang2, Youcheng Zhang1,*

    Oncologie, Vol.22, No.1, pp. 1-12, 2020, DOI:10.32604/oncologie.2020.012436

    Abstract Hepatocellular carcinoma (HCC) ranks the sixth place of most common cancers. Meanwhile, it is the tertiary mortality cause of cancer. There is no effective therapeutic method to prevent and treat the liver cancer. Sinomenine is a kind of Chinese traditional medicine herbal, it is reported that it can inhibit the viability of several cancer cells. The study is to explore whether sinomenine is also able to inhibit the cell viability of HCC and its potential mechanism. The IC50 of sinomenine in BEL-7402 cells was 5.351 mmol/L, and the IC50 of sinomenine in SMMC-7721 cells was 6.204 mmol/L. The gene expression… More >

  • Open Access

    ARTICLE

    Influence of the Molecular Weight on PVA/GO Composite Membranes for Fuel Cell Applications

    C. González-Guisasola1, O. Gil-Castell1,2, R. Teruel-Juanes1, A. Ribes-Greus1,*

    Journal of Renewable Materials, Vol.8, No.9, pp. 1171-1180, 2020, DOI:10.32604/jrm.2020.04399

    Abstract Composite polymer electrolyte membranes were prepared with poly (vinyl alcohol) (PVA). Two different molecular weight (Mw), 67·103 and 130·103 g·mol−1 were selected, cross-linked with sulfosuccinic acid (SSA) and doped graphene oxide (GO). The effects on the membranes obtained from these polymers were characterized in order to evaluate the fuel cell performance. Electron microscopy showed a proper nanoparticle distribution in the polymer matrix. The chemical structure was evaluated by Fourier transform infrared spectroscopy. The absence of a crystalline structure and the enhancement on the thermal stability with the addition of 1% of GO was demonstrated by thermal characterization. Total transference number… More >

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