Erna Qi^1,∗, Min Deng²

Computer Systems Science and Engineering, Vol.34, No.4, pp. 237-248, 2019, DOI:10.32604/csse.2019.34.237

Abstract The application of computer technology, especially the emergence of some statistical software and graphic presentation technology, has enabled many areas of research that require a large amount of data analysis. This paper discusses the relationship between R&D investment and corporate financial performance, and further studies the effect of environmental regulations on this relationship through these technologies. The unbalanced panel data of listed companies from 2007 to 2016 were used as a sample, and then corresponding regression modelswere established through logical reasoning. Empirical analysis has found that there is an inverted U-shaped relationship between R&D investment and company financial performance, and… More >

Linlin Zhang^*

Intelligent Automation & Soft Computing, Vol.26, No.3, pp. 577-583, 2020, DOI:10.32604/iasc.2020.013936

Abstract The change of entrepreneurial social relations will have a negative impact on the enterprise performance. There is a significant positive correlation between the change of entrepreneurs' social relations and the negative impact of corporate performance. In order to reduce the negative impact of the social relationship of entrepreneurs and improve the profitability of the enterprises, a communication model of the entrepreneur social relationship change and the negative influence of the enterprise performance is proposed based on the closeness decision. The communication model of the negative impact of the enterprise performance and the enterprise performance are analyzed. In the perspective of… More >

Kaijun Xu^∗, Yusheng Yao, Shanshan Li

Computer Systems Science and Engineering, Vol.33, No.5, pp. 335-344, 2018, DOI:10.32604/csse.2018.33.335

Abstract The flight lateral conflict model which is based on human subjective factors has always been a research hotspot for training flight. In order to effectively evaluate the safety interval and lateral collision risk in training airspace, in this paper, pilot subjective factors were modeled. It was studied in lateral conflict risk of low altitude complex flight by flight performance shaping factor. By analyzing flight data of a flight training institution in China, it is pointed that the lateral collision risk in specific training airspace meets the requirement of safety target level of international civil aviation organization. The collision risk of… More >

Wenxuan Wang^*, Xiaoyi Wang

CMES-Computer Modeling in Engineering & Sciences, Vol.124, No.3, pp. 985-1000, 2020, DOI:10.32604/cmes.2020.09006

Abstract The importance analysis method represents a powerful tool for quantifying the impact of input uncertainty on the output uncertainty. When an input variable is described by a specific interval rather than a certain probability distribution, the interval importance measure of input interval variable can be calculated by the traditional non-probabilistic importance analysis methods. Generally, the non-probabilistic importance analysis methods involve the Monte Carlo simulation (MCS) and the optimization-based methods, which both have high computational cost. In order to overcome this problem, this study proposes an interval important analytical method avoids the time-consuming optimization process. First, the original performance function is… More >

Akram M. Radwan^a,b, Zehra Cataltepe^a,c

Intelligent Automation & Soft Computing, Vol.24, No.4, pp. 777-783, 2018, DOI:10.1080/10798587.2017.1337673

Abstract This paper proposes to apply machine learning techniques to predict students’ performance on two real-world educational data-sets. The first data-set is used to predict the response of students with autism while they learn a specific task, whereas the second one is used to predict students’ failure at a secondary school. The two data-sets suffer from two major problems that can negatively impact the ability of classification models to predict the correct label; class imbalance and class noise. A series of experiments have been carried out to improve the quality of training data, and hence improve prediction results. In this paper,… More >

Julius Beneoluchi Odili^a, Mohd Nizam Mohmad Kahar^a, A. Noraziah^a,b, M. Zarina^c, Riaz Ul Haq^a

Intelligent Automation & Soft Computing, Vol.24, No.4, pp. 759-769, 2018, DOI:10.1080/10798587.2017.1334370

Abstract This paper carries out a performance analysis of major Nature-inspired Algorithms in solving the benchmark symmetric and asymmetric Traveling Salesman’s Problems (TSP). Knowledge of the workings of the TSP is very useful in strategic management as it provides useful guidance to planners. After critical assessments of the performances of eleven algorithms consisting of two heuristics (Randomized Insertion Algorithm and the Honey Bee Mating Optimization for the Travelling Salesman’s Problem), two trajectory algorithms (Simulated Annealing and Evolutionary Simulated Annealing) and seven population-based optimization algorithms (Genetic Algorithm, Artificial Bee Colony, African Buffalo Optimization, Bat Algorithm, Particle Swarm Optimization, Ant Colony Optimization and… More >

Huanyu Zhao, Guoqiang Wang, Shuai Wang, Ruipeng Yang, He Tian, Qiushi Bi

Intelligent Automation & Soft Computing, Vol.24, No.3, pp. 581-592, 2018, DOI:10.31209/2018.100000025

Abstract Articulated tracked vehicles have high mobility and steering performance. The unique structure of articulated tracked vehicles can avoid the subsidence of tracks caused by high traction from instantaneous braking and steering. In order to improve the accuracy of the steady-state steering of the articulated tracked vehicle, the velocity of both sides of the track and the deflection angle of the articulated point need to match better to achieve the purpose of steering accurately and reduce energy consumption and wear of components. In this study, a virtual prototype model of the articulated tracked vehicle is established based on the multi-body dynamic… More >

Shengqi Zhang, Bei Yuan, Jianfeng Zhao

Intelligent Automation & Soft Computing, Vol.25, No.4, pp. 745-753, 2019, DOI:10.31209/2019.100000078

Abstract With the current trend of deregulation, more power exchange between GENCOs and DISCOs in different areas exists in the power system. To mitigate the unscheduled power exchange meets the common interests of GENCOs and DISCOs, and avoids the power over-loading on tie-lines. However, in the current control performance standards (CPS), frequency deviations have priority in the conventional automatic generation control (C-AGC). Thus, a storagebased tie-line control loop (STCL) on the basis of C-AGC (STCL-AGC) is proposed in this paper, which makes a better tradeoff in the recovery of the frequency deviations and the unscheduled power exchange. In STCL-AGC, utility-scaled battery… More >

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 >

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 >