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  • Open Access

    PROCEEDINGS

    In-Situ Process Monitoring and Quality Evaluation for Fused Deposition Modeling with Foaming Materials

    Zhaowei Zhou1, Kaicheng Ruan1, Donghua Zhao1, Yi Xiong1,*

    The International Conference on Computational & Experimental Engineering and Sciences, Vol.30, No.2, pp. 1-1, 2024, DOI:10.32604/icces.2024.011376

    Abstract Fused deposition modeling (FDM) with foaming materials offers the capability to generate internal porous structures through in-situ foaming, imparting favorable characteristics such as weight reduction, shock absorption, thermal insulation, and sound insulation to printed objects. However, the process planning for this technology presents challenges due to the difficulty in accurately controlling the foaming rate, stemming from a complex underlying mechanism that remains poorly understood. This study introduces a multi-sensor platform for FDM with foaming materials, facilitating in-situ process monitoring of temperature field information during material modeling and quality evaluation of printed objects, i.e., abnormal foaming… More >

  • Open Access

    ARTICLE

    A Sound Quality Evaluation Method for Vehicle Interior Noise Based on Auditory Loudness Model

    Zhiheng He1, Hui Guo2, Houguang Liu1,*, Yu Zhao1,3, Zipeng Zhang1, Shanguo Yang1

    Sound & Vibration, Vol.58, pp. 47-58, 2024, DOI:10.32604/sv.2024.045470 - 27 February 2024

    Abstract When designing and optimizing the hull of vehicles, their sound quality needs to be considered, which greatly depends on the psychoacoustic parameters. However, the traditional psychoacoustic calculation method does not consider the influence of the real human ear anatomic structure, even the loudness which is most related to the auditory periphery. In order to introduce the real physiological structure of the human ear into the evaluation of vehicle sound quality, this paper first carried out the vehicle internal noise test to obtain the experimental samples. Then, the physiological loudness was predicted based on an established More >

  • Open Access

    ARTICLE

    Deep Learning Model for News Quality Evaluation Based on Explicit and Implicit Information

    Guohui Song1,2, Yongbin Wang1,*, Jianfei Li1, Hongbin Hu1

    Intelligent Automation & Soft Computing, Vol.38, No.3, pp. 275-295, 2023, DOI:10.32604/iasc.2023.041873 - 27 February 2024

    Abstract Recommending high-quality news to users is vital in improving user stickiness and news platforms’ reputation. However, existing news quality evaluation methods, such as clickbait detection and popularity prediction, are challenging to reflect news quality comprehensively and concisely. This paper defines news quality as the ability of news articles to elicit clicks and comments from users, which represents whether the news article can attract widespread attention and discussion. Based on the above definition, this paper first presents a straightforward method to measure news quality based on the comments and clicks of news and defines four news… More >

  • Open Access

    ARTICLE

    Multidimensional Quality Evaluation of Graduate Thesis: Based on the Probabilistic Linguistic MABAC Method

    Yuyan Luo1,2, Xiaoxu Zhang1,*, Tao Tong1, Yong Qin3,*, Zheng Yang1

    CMES-Computer Modeling in Engineering & Sciences, Vol.137, No.2, pp. 2049-2076, 2023, DOI:10.32604/cmes.2023.025413 - 26 June 2023

    Abstract Graduate education is the main way to train high-level innovative talents, the basic layout to cope with the global talent competition, and the important cornerstone for implementing the innovation-driven development strategy and building an innovation-driven country. Therefore, graduate education is of great remarkably to the development of national education. As an important manifestation of graduate education, the quality of a graduate thesis should receive more attention. It is conducive to promoting the quality of graduates by supervising and examining the quality of the graduate thesis. For this purpose, this work is based on text mining,… More >

  • Open Access

    ARTICLE

    Employment Quality Evaluation Model Based on Hybrid Intelligent Algorithm

    Xianhui Gu1,*, Xiaokan Wang1, Shuang Liang2

    CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 131-139, 2023, DOI:10.32604/cmc.2023.028756 - 22 September 2022

    Abstract In order to solve the defect of large error in current employment quality evaluation, an employment quality evaluation model based on grey correlation degree method and fuzzy C-means (FCM) is proposed. Firstly, it analyzes the related research work of employment quality evaluation, establishes the employment quality evaluation index system, collects the index data, and normalizes the index data; Then, the weight value of employment quality evaluation index is determined by Grey relational analysis method, and some unimportant indexes are removed; Finally, the employment quality evaluation model is established by using fuzzy cluster analysis algorithm, and More >

  • Open Access

    ARTICLE

    Research on Printing Quality Evaluation of Decorative Paper Based on AHPEWM Model

    Huailin Li1,2, Chan Zhang1, Shisheng Zhou1,2,*, Bin Du1,2, Xue Li1

    Journal of Renewable Materials, Vol.10, No.12, pp. 3425-3438, 2022, DOI:10.32604/jrm.2022.021157 - 14 July 2022

    Abstract Printing quality evaluation is an important means to check whether prints are qualified. However, the current printing quality evaluation system for gravure decorative paper is not perfect. In order to solve this problem, a method for evaluating quality of decorative paper based on analytical hierarchy process (AHP) and the entropy weight method (EWM) model is proposed in this paper. So as to verify the proposed model, decorative paper of different grades was selected as the experimental objects. Firstly, the data about five indices reflecting printing quality were measured. Secondly, the evaluation model was used to More > Graphic Abstract

    Research on Printing Quality Evaluation of Decorative Paper Based on AHPEWM Model

  • Open Access

    ARTICLE

    Using Grey Target Theory for Power Quality Evaluation Based on Power Quality Monitoring Data

    Qiang Yu*, Xiankai Chen, Xiaoyue Li, Chaoqun Zhou, Zhichao Li

    Energy Engineering, Vol.119, No.1, pp. 359-369, 2022, DOI:10.32604/EE.2022.015397 - 22 November 2021

    Abstract Smart grid puts forward higher requirements for power quality. Power quality evaluation can provide a decision-making basis for quality improvement. Based on power quality monitoring data, a grey target method is proposed for power quality evaluation. The grey target is composed of power quality evaluation standard and power quality monitoring data to be evaluated. Combining with the characteristics of each power quality evaluation index, the target center of the whole grey target system is found. Then, the power quality monitoring data to be evaluated and the power quality standard mode are compared and analyzed to More >

  • Open Access

    ARTICLE

    Comparative Study of Transfer Learning Models for Retinal Disease Diagnosis from Fundus Images

    Kuntha Pin1, Jee Ho Chang2, Yunyoung Nam3,*

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5821-5834, 2022, DOI:10.32604/cmc.2022.021943 - 11 October 2021

    Abstract While the usage of digital ocular fundus image has been widespread in ophthalmology practice, the interpretation of the image has been still on the hands of the ophthalmologists which are quite costly. We explored a robust deep learning system that detects three major ocular diseases: diabetic retinopathy (DR), glaucoma (GLC), and age-related macular degeneration (AMD). The proposed method is composed of two steps. First, an initial quality evaluation in the classification system is proposed to filter out poor-quality images to enhance its performance, a technique that has not been explored previously. Second, the transfer learning… More >

  • Open Access

    ARTICLE

    Japanese Teaching Quality Satisfaction Analysis with Improved Apriori Algorithms under Cloud Computing Platform

    Lini Cai

    Computer Systems Science and Engineering, Vol.35, No.3, pp. 183-189, 2020, DOI:10.32604/csse.2020.35.183

    Abstract In this paper, we use modern education concept and satisfaction theory to study the construction of a system used to evaluate Japanese teaching quality based on a satisfaction model. We use a cloud computing platform to mine the rules of Japanese teaching quality satisfaction by using an improved Apriori algorithm to explore the impact of measurement indicators of teaching objectives, processes and results on overall satisfaction with Japanese teaching practices, so as to improve Japanese teaching in the future. Scientific decision-making, improvement of teaching practices, transformation and innovation of students’ learning methods provide data reference More >

  • Open Access

    ARTICLE

    GA-BP Air Quality Evaluation Method Based on Fuzzy Theory

    Ma Ning1,*, Jianhe Guan1, Pingzeng Liu2, Ziqing Zhang3, Gregory M. P. O’Hare4

    CMC-Computers, Materials & Continua, Vol.58, No.1, pp. 215-227, 2019, DOI:10.32604/cmc.2019.03763

    Abstract With the rapid development of China’s economy, the scale of the city has been continuously expanding, industrial enterprises have been increasing, the discharge of multiple pollutants has reached the top of the world, and the environmental problems become more and more serious. The air pollution problem is particularly prominent. Air quality has become a daily concern for people. In order to control air pollution, it is necessary to grasp the air quality situation in an all-round way. It is necessary to evaluate air quality. Accurate results of air quality evaluation can help people know more… More >

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