Journal of Computational Methods in Sciences and Engineering - Volume 22, issue 4

Authors: Pu, Jia | Liu, Yiran | Li, Hongxing

Article Type: Research Article

Abstract: This study adopts multi-attribute group decision-making method with complete ignorance of weight information based on evidence distance and fuzzy entropy transformation, uses linear weighting to integrate and sort out the evaluation information of each evaluated object. The method is applied to the evaluation of organizational quality specific immune of actual large manufacturing enterprises, and the practicability and feasibility of the method are proved by empirical analysis research. The empirical analysis results will provide method guidance and practical inspiration for improving organizational quality specific immune of manufacturing enterprises.

Keywords: Multi-attribute group decision-making method with complete ignorance of weight information, evidence distance, fuzzy entropy transformation, organizational quality specific immune evaluation, multi-attribute group decision-making

DOI: 10.3233/JCM226048

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 4, pp. 1287-1296, 2022

Authors: Pu, Jia | Liu, Yiran | Li, Hongxing

Article Type: Research Article

Abstract: Facing the increasingly fierce competition in the current society, enterprises must take corresponding measures to deal with the dynamic environment. In order to improve their competitive advantages, they must pay more attention to the quality of their product, activate the organizational quality specific immune. This study takes organizational quality specific immune as the entry point to construct the organizational quality specific immune evaluation indicator system, and establishes three criteria layers of organizational quality monitoring and cognition, organizational quality defense, clearance and repair, and organizational quality memory and immune stabilization, there are a series of indicators under each criterion layer. Then …this study constructs the organizational quality specific immune evaluation model based on optimal combination weight methods, and the optimal combination weighting model is introduced to conduct empirical study of evaluating organizational quality specific immune with 15 large-scale manufacturing enterprises in eastern regions. And the pros and cons of the organizational quality specific immune status of 15 large-scale manufacturing enterprises in eastern regions are finally obtained. The organizational quality specific immune evaluation indicators, organizational quality specific immune evaluation model based on optimal combination weighting methods and empirical analysis results of organizational quality specific immune evaluation based on optimal combination weighting methods and model will provide theoretical significance and practical enlightenment for enhancing organizational quality performance and organizational health. Show more

Keywords: Optimal combination weighting, organizational quality specific immune, organizational quality specific immune evaluation model, empirical analysis

DOI: 10.3233/JCM-226053

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 4, pp. 1297-1309, 2022

Authors: Zhang, Xuan | Jiang, Yaxin | Feng, Jing

Article Type: Research Article

Abstract: Based on the perspective of the transportation economic belt, this paper studies the impact of the opening of the high-speed rail in the Silk Road Economic Belt on the regional economy. Taking the panel data of 74 cities in the five northwestern provinces and four southwestern provinces in the Silk Road Economic Belt from 2003 to 2018 as a sample, using propensity score matching and double difference method (PSM-DID) to conduct empirical research, the research found that: Firstly, in the urban agglomeration of the Silk Road Economic Belt, whether from the perspective of significance or robustness, the opening of high-speed …rail has a significant positive impact on the regional economic effect, and there is a certain lag. Secondly, there is obvious heterogeneity in the impact of high-speed rail effect. In terms of city size, small and medium-sized cities are more affected by the opening of high-speed rail than large cities. From the administrative level, general cities are more susceptible to the opening of high-speed rail than key cities, and their economic development is better under the influence of high-speed rail effect. Thirdly, in terms of transmission mechanism, it is found that the opening of high-speed railway can promote urban economic development by improving the optimization of industrial structure, promoting labor mobility and reducing pollution emissions. Show more

Keywords: Silk Road Economic Belt, high-speed rail construction, regional economy

DOI: 10.3233/JCM-226055

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 4, pp. 1311-1331, 2022

Authors: Ge, Hanjing

Article Type: Research Article

Abstract: In order to improve the quality of bacterial cellulose synthesis, a Minitab-based method was proposed to analyze the factors influencing the synthesis mechanism of bacterial cellulose based on the diversity of synthetic raw materials, synthetic pathways and regulatory mechanism of bacterial cellulose. Three kinds of raw materials for bacterial cellulose production and their research status were reviewed, and the synthetic process of bacterial cellulose was optimized, which involved many related enzymes. Under these conditions, three steps of glucose hydrolysis, cellulose synthesis, final assembly and secretion were improved. The mechanism and influencing factors of bacterial cellulose synthesis were analyzed effectively, the …quality of high bacterial cellulose synthesis was optimized, and the large-scale production, development and application of bacterial cellulose were prospected. Show more

Keywords: Mechanism and influencing, bacterial cellulose, synthesis mechanism, Minitab

DOI: 10.3233/JCM-226058

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 4, pp. 1333-1348, 2022

Authors: Xie, Chen

Article Type: Research Article

Abstract: In order to measure the quality and level of digital transformation of banks, we evaluate its credibility. Due to the backwardness of data processing technology, the existing credibility evaluation methods have the defects of low validity of evaluation results, which indicates that the evaluation results are one-sided and can not meet the needs of today’s digital transformation of banks. Therefore, this paper proposes an intelligent evaluation method for the credibility of digital transformation of banks based on big data analysis. This paper analyzes the digital transformation strategy of banks in detail. On this basis, it introduces big data analysis technology, …selects credibility intelligent evaluation index, constructs credibility intelligent evaluation model, formulates credibility intelligent evaluation steps of digital transformation of banks according to the construction model, and implements the steps to realize the intelligent evaluation of digital transformation credibility of banks. The experimental data show that: compared with the existing methods, the validity data of the evaluation results of the proposed method is larger, which fully confirms the effectiveness and feasibility of the proposed method and is suitable for vigorously promoting and applying. Show more

Keywords: Big data analysis, bank, digital transformation, credibility, intelligent evaluation

DOI: 10.3233/JCM-226060

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 4, pp. 1349-1359, 2022

Authors: Xu, Liangping | Wang, Yaowu | Liu, Yi

Article Type: Research Article

Abstract: Compared with the United States, the “large but not strong” situation of China’s manufacturing industry is still prominent. The reasons are, in addition to the “two-end squeeze” of “re-industrialization” of developed countries and emerging economies relying on low-cost advantages to build new “world factories”, China’s development shows weak core competitiveness, few leading companies and brands, fragmented production chains, low labor productivity in manufacturing, weak technological innovation capabilities, internal disadvantages such as insufficient support for high-end factors required for manufacturing industry development and the need to optimize the business environment, which should arouse greater attention. Therefore, based on Gravity Model, Sustainable …Livelihood Framework and Core Competitive theory were used to find the reason and solution, and there is still a long way to go to build a strong manufacturing country. Show more

Keywords: China-US comparison, manufacturing industry, big but not strong

DOI: 10.3233/JCM-226063

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 4, pp. 1361-1371, 2022

Authors: Wang, Yeqing

Article Type: Research Article

Abstract: In order to solve the problems of large measurement errors and long time consuming in the measurement of the lateral distance between driverless vehicles, this paper proposes to design a lateral distance measurement technology of driverless vehicles based on machine vision. According to the preview following theory and model basis, the lateral movement process of driverless vehicles is determined, the lateral displacement deviation change rate and heading angle deviation change rate between vehicle and preview point in local coordinates are calculated, and the lateral motion dynamic model of unmanned vehicle is designed. With the help of Yolo algorithm, the boundary …frame is drawn up to determine the position of the lateral moving vehicle, and the detection error is corrected with the help of loss function to complete the lateral moving target detection of the unmanned vehicle. The relationship between the machine coordinate system and the world coordinate system is determined. According to the internal and external parameter matrix of the relationship between the lateral distances of the driverless vehicle, the machine vision position is set, and the lateral distance is determined by the pitch angle between the horizontal planes. The experimental results show that the measurement error of this method is always less than 5%. This method has small measurement error, small error between test distance and actual distance, and has certain application performance. Show more

Keywords: Machine vision, driverless vehicles, transverse distance between vehicles, Yolo algorithm, coordinate system

DOI: 10.3233/JCM-226065

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 4, pp. 1373-1384, 2022

Authors: Xin, Lili | Liang, Jihui

Article Type: Research Article

Abstract: In view of the influence of vibration factors on the vibration characteristics of potato harvester, to study the effect of vibration parameters on the dynamic characteristics of the system and harvested potato quality, in this paper an indoor conveyor separation device for potato harvester with adjustable two-way synchronous conveying vibration parameters was designed. The device, with double-side chain drive to improve conveying efficiency and replaceable eccentric parts to change vibration parameters, allows the system to harvest potatoes under optimal working conditions. A simulation analysis of a dynamics model of the system, which was first established, was carried out. A potato …soil separation test was conducted using the vibration testing system and acceleration sensor, and its data was compared with the simulation data to verify the correctness of the model. The results showed that the eccentricity, rotation speed, and inclination had an impact on the potato-soil separation rate and the vibration of the system. The analysis showed that the system had a higher potato-soil separation rate and slighter vibration under optimal working conditions, that is, eccentricity of 0.023 m, rotation speed of 130 r/min, and inclination of 26 ∘ . Show more

Keywords: Design, convey, vibration, acceleration

DOI: 10.3233/JCM-226068

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 4, pp. 1385-1392, 2022

Authors: Liu, Gang | Cao, Zixuan | Liu, Sen | Song, Bin | Liu, Zhonghua

Article Type: Research Article

Abstract: Target detection is the basis for automatic target recognition system of infrared imaging guidance to complete subsequent tasks such as recognition and tracking. Existing systems have not the autonomous learning ability of target feature, and it will be powerless once the task environment exceeds the pre-planned condition. The single-stage target detection based on deep learning has the ability of autonomous learning and high computational efficiency, which is an effective way to solve the problem of infrared imaging guidance target detection in complex environment. SSD (Single Shot MultiBox Detector) is a classical single-stage detection model, however, the convolution layer with strong …semantic information in SSD has low resolution, which is not conducive to small target detection. In addition, the location loss of SSD does not consider the impact of target scale change. Therefore, this paper puts forward two improvement ideas in view of SSD: (1) Starting from FPN (Feature Pyramid Network), feature channel’s importance is distinguished through efficient channel attention mechanism, the contribution of each feature layer to the fusion output is described based on the learnable weight, and the feature weighted fusion of bidirectional multi-scale is realized between the feature layer which has low resolution and strong semantics and the feature layer which has high resolution and weak semantics. (2) Starting from IoU (Intersection over Union) and considering non overlapping parts and geometric relationship between the predicted box and the ground-truth box, the location loss of SSD that remains invariable to the target scale change is constructed to improve the sensitivity of the detection model to the locating error of small target. The experimental results show that, for 300 × 300 input, the presented method achieves 84.7% mAP (mean Average Precision) on VOC2007 test and for 512 × 512 input, it reaches 86.6%. On the self-built infrared aircraft data set, the proposed method achieves 81.1% mAP and can detect more small targets. Without affecting detection speed, the presented method on experimental results outperforms some comparable state-of-the-art models such as YOLOv3 (You Only Look Once), DSSD (Deconvolutional Single Shot Multibox Detector), RSSD (Rainbow Single Shot Multibox Detector) and FSSD (Fusion Single Shot Multibox Detector). Show more

Keywords: Infrared imaging guidance, target detection, single-stage, SSD, feature weighted fusion, location loss

DOI: 10.3233/JCM-226112

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 4, pp. 1393-1408, 2022

Article Type: Correction

DOI: 10.3233/JCM-229000

Citation: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 4, pp. 1409-1409, 2022