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Vector soliton and noise-like pulse generation using a Ti3C2 MXene material in a fiber laser Research
Dongsu Jeong, Dohyun Kim, Yoonho Seo,jdsvs2979@korea.ac.kr,davydo@korea.ac.kr,yoonhoseo@korea.ac.kr
Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 3, Pages 287-436 doi: 10.1631/FITEE.1900649
Keywords： 武器系统；基于过程的建模（PBM）；作战场景；交互分析；元模型；Petri网
Modeling and Analysis of Elevator System Based on Timed-Coloured Petri Net
Zong Qun,Dou Liqian,Cheng Yiju
Strategic Study of CAE 2004, Volume 6, Issue 12, Pages 51-55
In this paper, an elevator running model based on timed-coloured Petri net is proposed.
Keywords： Petri net timed-coloured Petri net the model of elevator the running of elevator
Modeling and Analysis of Fault-tolerant System With Rejuvenation
Guo Chenghao,Liu Fengyu
Strategic Study of CAE 2007, Volume 9, Issue 10, Pages 75-79
Keywords： fault-tolerant system software rejuvenation software aging redundant strategy Non-Markovian stochastic Petri
Development of Modern Low Altitude Air-defence Missile Weapon System
Zhong Shan
Strategic Study of CAE 2001, Volume 3, Issue 5, Pages 1-11
The analyses of characteristic parameters of modern low altitude air-defence missile weapon system are shown in this paper. These parameters can be used to represent the main specification of tactics and technicality. The synthetical evaluation of several foreign low altitude air-defence missile weapon systems is made, based on the measure of fuzzy function with weighted linear transformation. At the end of this paper the development tendency of weapon system in future is discussed in accordance with the quantitative analysis of the evaluation.
Keywords： air-defence missile weapon system characteristic parameters specification of the tactics and technicality ECCM synthetical evaluation
The research of grey clustering decision of assembly sequence based on petri net
Mo Qian,Luo Yi
Strategic Study of CAE 2008, Volume 10, Issue 11, Pages 65-68
Keywords： assembly sequence petri net grey clustering decision method
Research of Collaborative Design Process Management Based on Activity Method
Hao Yongping,Zhang Jianfu,Shi Chunjing,Shao Weiping
Strategic Study of CAE 2005, Volume 7, Issue 12, Pages 69-73
By analyzing the components of an activity and the relationship of the process modeling, a topological structure of the collaborative design process management system was presented. According to the situation and characteristic of the product development process, a number of the important issues about process modeling, AU design environment, process monitoring and the data exchange between systems were discussed. At last, a user interface of the collaborative design environment and the display of process monitoring are also given.
Keywords： activity theory activity unit process modeling design process management
Science-based Engineering R & D of Complex Systems
Xu Zhilei
Strategic Study of CAE 2002, Volume 4, Issue 10, Pages 26-30
Nuclear weapons are complex systems with special requirements on effectiveness, safety and reliability and, therefore, science-based engineering studies have been conducted, while enhancing system engineering and computer simulation. To further study mechanics and material science for environmental adaptability of the complex systems, theoretical and computational advances must be pursued. The most important issues are theoretical modeling and test designing. Unfortunately, appropriate theories and models for complex system have not been formed yet so far. Following the science development in the 21st century, applications of computer simulations will be speed up for complex systems investigations in various disciplines.
Keywords： complex systems nuclear weapons computer simulation modeling of functional systems
Research on structural health monitoring (SHM) system based on RTK GPS system
Wang Renpeng,Yao Lianbi,Meng Xiaolin
Strategic Study of CAE 2011, Volume 13, Issue 3, Pages 63-70
For the huge amount of raw data that were obtained during field data acquisition by the real-time kinematic global positioning system (RTK GPS) in structural health monitoring (SHM) system of the Nanpu Bridge in Shanghai, we finished lots of processing works and obtain x-coordinate , y-coordinate,z-coordinate time series of all 12 monitoring station points. The coordinate time series were treated as the multi-outputs of the dynamic system and used to build the state space model and ARMA model and spectrum estimations for the response. The analysis results were consistent with the results of test that completed when the bridge was opened in 1990 and results that forecasted by fine finite element (FE) model. The research illustrated that the state-space model and ARMA model were efficient tools for evaluation of performance of civil structures, and furtherly proved the possibility of building the prototype SHM that based on RTK GPS.
Keywords： RTK GPS system time series state-space model ARMA model finite element model
A Perspective on Smart Process Manufacturing Research Challenges for Process Systems Engineers
Ian David Lockhart Bogle
Engineering 2017, Volume 3, Issue 2, Pages 161-165 doi: 10.1016/J.ENG.2017.02.003
The challenges posed by smart manufacturing for the process industries and for process systems engineering (PSE) researchers are discussed in this article. Much progress has been made in achieving plant- and site-wide optimization, but benchmarking would give greater confidence. Technical challenges confronting process systems engineers in developing enabling tools and techniques are discussed regarding flexibility and uncertainty, responsiveness and agility, robustness and security, the prediction of mixture properties and function, and new modeling and mathematics paradigms. Exploiting intelligence from big data to drive agility will require tackling new challenges, such as how to ensure the consistency and confidentiality of data through long and complex supply chains. Modeling challenges also exist, and involve ensuring that all key aspects are properly modeled, particularly where health, safety, and environmental concerns require accurate predictions of small but critical amounts at specific locations. Environmental concerns will require us to keep a closer track on all molecular species so that they are optimally used to create sustainable solutions. Disruptive business models may result, particularly from new personalized products, but that is difficult to predict.
Keywords： Smart manufacturing Process systems engineering Uncertainty Flexibility Optimization Model-based control
A Design of TMA Functions for New Submarine Combat System
Ren Keming,Pan Yue,Wang Yan
Strategic Study of CAE 1999, Volume 1, Issue 3, Pages 31-34
This paper overviews a few methods of TMA (target motion analysis), such as only bearing TMA, multiple information fusion TMA, bearing-Doppler TMA, distance estimation with bearing and noise energy, matched-field location combined with TMA etc. We herein provide a new idea for the design of TMA functions in fully integrated and distributed submarine combat system.
We enhances the TMA functions from the point of view of submarine combat system, fully applying the information of multi-sensors and the operator´s subjective decisions in automatic and in manual modes. It will serve better in tactical decision making and provide more accurate results of target motion parameters. Compared with the normal design of TMA, this design has developed a function of target manoeuvre recognition, added the manual TMA function, and designed a display on which the operator can easyly observe TMA output, target motion and therefor improving track of targets.
Keywords： target motion analysis (TMA) submarine combat system display
Hybrid Data-Driven and Mechanistic Modeling Approaches for Multiscale Material and Process Design Perspective
Teng Zhou, Rafiqul Gani, Kai Sundmacher
Engineering 2021, Volume 7, Issue 9, Pages 1231-1238 doi: 10.1016/j.eng.2020.12.022
The world’s increasing population requires the process industry to produce food, fuels, chemicals, and consumer products in a more efficient and sustainable way. Functional process materials lie at the heart of this challenge. Traditionally, new advanced materials are found empirically or through trial-and-error approaches. As theoretical methods and associated tools are being continuously improved and computer power has reached a high level, it is now efficient and popular to use computational methods to guide material selection and design. Due to the strong interaction between material selection and the operation of the process in which the material is used, it is essential to perform material and process design simultaneously. Despite this significant connection, the solution of the integrated material and process design problem is not easy because multiple models at different scales are usually required. Hybrid modeling provides a promising option to tackle such complex design problems. In hybrid modeling, the material properties, which are computationally expensive to obtain, are described by data-driven models, while the well-known process-related principles are represented by mechanistic models. This article highlights the significance of hybrid modeling in multiscale material and process design. The generic design methodology is first introduced. Six important application areas are then selected: four from the chemical engineering field and two from the energy systems engineering domain. For each selected area, state-ofthe- art work using hybrid modeling for multiscale material and process design is discussed. Concluding remarks are provided at the end, and current limitations and future opportunities are pointed out.
Keywords： Data-driven Surrogate model Machine learning Hybrid modeling Material design Process optimization
Stephen M. Malone, Marc J. Weissburg, Bert Bras
Engineering 2018, Volume 4, Issue 2, Pages 209-217 doi: 10.1016/j.eng.2018.03.008
Materials and energy are transferred between natural and industrial systems, providing a standard that can be used to deduce the interactions between these systems. An examination of these flows is an essential part of the conversation on how industry impacts the environment. We propose that biological systems, which embody sustainability, provide methods and principles that can lead to more useful ways to organize industrial activity. Transposing these biological methods to steel manufacturing is manifested through an efficient use of available materials, waste reduction, and decreased energy demand with currently available technology. In this paper, we use ecological metrics to examine the change in structure and flows of materials in the Chinese steel industry over time by means of a systems-based mass flow analysis. Utilizing available data, the results of our analysis indicate that the Chinese steel manufacturing industry has increased its efficiency and sustainable use of resources over time at the unit process level. However, the appropriate organization of the steel production ecosystem remains a work in progress. Our results suggest that through the intelligent placement of cooperative industries, which can utilize the waste generated from steel manufacturing, the future of the Chinese steel industry can better reflect ecosystem maturity and health while minimizing waste.
Keywords： Ecological network analysis Mass flow analysis Steel manufacturing
Using information flowanalysis to detect implicit information leaks forweb service composition None
Jia-xin JIANG, Zhi-qiu HUANG, Wei-wei MA, Yan CAO
Frontiers of Information Technology & Electronic Engineering 2018, Volume 19, Issue 4, Pages 494-502 doi: 10.1631/FITEE.1601371
Keywords： Information flow analysis Business process execution language Petri net Interference
Study on modeling and emulation of VENSIMfor ordering system in steel enterprises
Zou Anquan,Yu Qi,Qin Zhongchi,Yang Fang,Dai Enyong
Strategic Study of CAE 2009, Volume 11, Issue 2, Pages 60-64
Ordering models are essential for most corporations , which are used to arrange the industrial production by the marketing situation . In the most supply chain enterprises , production is organized according to its sale , the ordering model of enterprises is especially important . In the case of retail ordering in steel enterprises , system dynamics is used to analyze the model of retail ordering system , and simulation analysis is aimed at its realism , then the retail ordering tactic in steel enterprises is proposed .
Keywords： ordering model modeling and simulation steel enterprise
The Networks Analysis of Fire Spread among the Rooms
You Yuhang,Li Yuanzhou,Huo Ran
Strategic Study of CAE 2005, Volume 7, Issue 7, Pages 86-89
This paper introduces the Networks model to analyze the process of fire spread among the rooms. It finds out the dangerous factor through calculating the probability and time of defferent fire spread path under defferent conditions. The process of fire spread can be controled effecting by strengthening the safety precautions. Results indicate the Networks model can predict the possibility and hazard of fire spread among the rooms.
Keywords： fire spread among the rooms the Networks model path
Title Author Date Type Operation
Vector soliton and noise-like pulse generation using a Ti3C2 MXene material in a fiber laser
Dongsu Jeong, Dohyun Kim, Yoonho Seo,jdsvs2979@korea.ac.kr,davydo@korea.ac.kr,yoonhoseo@korea.ac.kr
Journal Article
Modeling and Analysis of Elevator System Based on Timed-Coloured Petri Net
Zong Qun,Dou Liqian,Cheng Yiju
Journal Article
Modeling and Analysis of Fault-tolerant System With Rejuvenation
Guo Chenghao,Liu Fengyu
Journal Article
The research of grey clustering decision of assembly sequence based on petri net
Mo Qian,Luo Yi
Journal Article
Research of Collaborative Design Process Management Based on Activity Method
Hao Yongping,Zhang Jianfu,Shi Chunjing,Shao Weiping
Journal Article
Research on structural health monitoring (SHM) system based on RTK GPS system
Wang Renpeng,Yao Lianbi,Meng Xiaolin
Journal Article
A Perspective on Smart Process Manufacturing Research Challenges for Process Systems Engineers
Ian David Lockhart Bogle
Journal Article
A Design of TMA Functions for New Submarine Combat System
Ren Keming,Pan Yue,Wang Yan
Journal Article
Hybrid Data-Driven and Mechanistic Modeling Approaches for Multiscale Material and Process Design
Teng Zhou, Rafiqul Gani, Kai Sundmacher
Journal Article
Industrial Ecosystems and Food Webs: An Ecological-Based Mass Flow Analysis to Model the Progress of Steel Manufacturing in China
Stephen M. Malone, Marc J. Weissburg, Bert Bras
Journal Article
Using information flowanalysis to detect implicit information leaks forweb service composition
Jia-xin JIANG, Zhi-qiu HUANG, Wei-wei MA, Yan CAO
Journal Article
Study on modeling and emulation of VENSIMfor ordering system in steel enterprises
Zou Anquan,Yu Qi,Qin Zhongchi,Yang Fang,Dai Enyong
Journal Article
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