Hengliang Shi, Xiaolei Bai and Jianhui Duan
In cloth animation field, the collision detection of fabric under external force is very complex, and difficult to satisfy the needs of reality feeling and real time. The purpose…
Abstract
Purpose
In cloth animation field, the collision detection of fabric under external force is very complex, and difficult to satisfy the needs of reality feeling and real time. The purpose of this paper is to improve reality feeling and real-time requirement.
Design/methodology/approach
This paper puts forward a mass-spring model with building bounding-box in the center of particle, and designs the collision detection algorithm based on Mapreduce. At the same time, a method is proposed to detect collision based on geometric unit.
Findings
The method can quickly detect the intersection of particle and triangle, and then deal with collision response according to the physical characteristics of fabric. Experiment shows that the algorithm improves real-time and authenticity.
Research limitations/implications
Experiments show that 3D fabric simulation can be more efficiency through parallel calculation model − Mapreduce.
Practical implications
This method can improve the reality feeling, and reduce calculation quantity.
Social implications
This collision-detection can be used into more fields such as 3D games, aero simulation training and garments automation.
Originality/value
This model and method have originality, and can be used to 3D animation, digital entertainment, and garment industry.
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Dongjun Lv, Xiaolei Zhang, Guocheng Gao, Jing Tang, Zilong Zhang, Yihui Liu, Ran Wang and LeiFang Liu
The purpose of this study was the preparation of a poly(styrene-co-maleic anhydride)-g-polyetheramine (SMA-g-PEA) hyperdispersant that reduces the viscosity of the system and…
Abstract
Purpose
The purpose of this study was the preparation of a poly(styrene-co-maleic anhydride)-g-polyetheramine (SMA-g-PEA) hyperdispersant that reduces the viscosity of the system and improves the colouring intensities of pigments.
Design/methodology/approach
PEA of specific quality was dissolved in propylene glycol methyl ether. SMA was then added according to the required mass ratio. The solution was refluxed for 10 h under a stream of protective N2. The prepared hyperdispersant was then characterised by Fourier-transform infrared, UV–visible and 1H NMR spectroscopies, gel-permeation chromatography and thermogravimetry.
Findings
PEA was successfully grafted onto the SMA polymer and the synthesised product was found to be thermally stable. The copolymer with a 6:1 mass ratio is the best dispersant and was used to disperse carbon black, phthalocyanine blue and permanent violet in water-based systems, which helps to improve the application performance of each pigment by reducing the viscosity of the system and improving the colouring intensity of the pigment. The water dispersion is stable and does not exhibit an increase in viscosity after seven days of oven aging at 50°C.
Originality/value
SMA-g-PEA water-based hyperdispersants were successfully synthesised. The prepared hyperdispersants help to improve the application performance of each studied pigment by reducing the viscosity of the system and improving the colouring intensity of the pigment.
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The aim of this paper is reviewing the discipline development course of the history of socialist political economy with Chinese characteristics and recognising the changes of its…
Abstract
Purpose
The aim of this paper is reviewing the discipline development course of the history of socialist political economy with Chinese characteristics and recognising the changes of its development and its historic mission in the new stage will be beneficial to the construction of socialist political economy with Chinese characteristics from the perspective of doctrinal history.
Design/methodology/approach
In this paper from the aspect of discipline formation and development, the history of China’s socialist political economy has experienced two stages: emergence and formation (the first stage) and steady development (the second stage). It has explored new research fields and improved the quality of research levels. However, the role of studying the history of socialist political economy with Chinese characteristics has not been fully played regarding satisfying the needs of constructing socialist political economy with Chinese characteristics.
Findings
In this study when the construction of socialist political economy with Chinese characteristics entered a new era, the study of the history of socialist political economy also entered a new stage, showing new features in terms of research objectives, principles, scale and methods.
Originality/value
Therefore, the research on the history of socialist political economy with Chinese characteristics should be highly emphasised, and the focus on serving the construction of socialist political economy with Chinese characteristics should be its historic mission and core task. Also, researchers should pay attention to changing ideas, laying a good foundation, highlighting key points, building platforms and broadening horizons.
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Yin Kedong, Shiwei Zhou and Tongtong Xu
To construct a scientific and reasonable indicator system, it is necessary to design a set of standardized indicator primary selection and optimization inspection process. The…
Abstract
Purpose
To construct a scientific and reasonable indicator system, it is necessary to design a set of standardized indicator primary selection and optimization inspection process. The purpose of this paper is to provide theoretical guidance and reference standards for the indicator system design process, laying a solid foundation for the application of the indicator system, by systematically exploring the expert evaluation method to optimize the index system to enhance its credibility and reliability, to improve its resolution and accuracy and reduce its objectivity and randomness.
Design/methodology/approach
The paper is based on system theory and statistics, and it designs the main line of “relevant theoretical analysis – identification of indicators – expert assignment and quality inspection” to achieve the design and optimization of the indicator system. First, the theoretical basis analysis, relevant factor analysis and physical process description are used to clarify the comprehensive evaluation problem and the correlation mechanism. Second, the system structure analysis, hierarchical decomposition and indicator set identification are used to complete the initial establishment of the indicator system. Third, based on expert assignment method, such as Delphi assignments, statistical analysis, t-test and non-parametric test are used to complete the expert assignment quality diagnosis of a single index, the reliability and validity test is used to perform single-index assignment correction and consistency test is used for KENDALL coordination coefficient and F-test multi-indicator expert assignment quality diagnosis.
Findings
Compared with the traditional index system construction method, the optimization process used in the study standardizes the process of index establishment, reduces subjectivity and randomness, and enhances objectivity and scientificity.
Originality/value
The innovation point and value of the paper are embodied in three aspects. First, the system design process of the combined indicator system, the multi-dimensional index screening and system optimization are carried out to ensure that the index system is scientific, reasonable and comprehensive. Second, the experts’ background is comprehensively evaluated. The objectivity and reliability of experts’ assignment are analyzed and improved on the basis of traditional methods. Third, aim at the quality of expert assignment, conduct t-test, non-parametric test of single index, and multi-optimal test of coordination and importance of multiple indicators, enhance experts the practicality of assignment and ensures the quality of expert assignment.
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Alexander Ilic, Andrea Grössbauer, Florian Michahelles and Elgar Fleisch
The widespread application of radio frequency identification (RFID) tags in supply chains is said to cause enormous data volume problems that could render RFID event‐driven supply…
Abstract
Purpose
The widespread application of radio frequency identification (RFID) tags in supply chains is said to cause enormous data volume problems that could render RFID event‐driven supply chains unmanageable. An unbiased and quantitative understanding of the characteristics and extent of these data volume problems is necessary to identify and remove adoption barriers. This paper aims to address the issues.
Design/methodology/approach
The paper presents a simulation study based on a real‐world scenario that reveals quantitative characteristics of the data volumes problem in an RFID‐enabled supply chain and discusses its implications.
Findings
The results suggest that data volumes will be much lower than currently assumed by practitioners. Thus, this work can be seen as a first basis for eliminating unjustified adoption concerns regarding data volumes complexity. However, it finds that the data volume problems bear still significant challenges for researchers and developers of RFID infrastructures with real‐time decision‐making applications.
Research limitations/implications
The simulation study is based on a single product case study of a retail supply chain in Europe. Since a simulation is always a simplification of the real world, the results need to be interpreted carefully in different contexts. The nature and extent of the problem might vary across different products, industries and geographic regions.
Practical implications
Researchers, end‐users and solution providers might use our paper as a guideline how to approach and quantify the data volume problem in their particular case. Moreover, the result data can be used to benchmark and optimize RFID applications.
Originality/value
This paper is one of the first scholarly works that analyze RFID data volume problems in supply chains with a quantitative methodology.