Research on Interception Order Modeling of Air Targets

2011 ◽  
Vol 121-126 ◽  
pp. 1739-1743
Author(s):  
Zhe Shuai Zhou ◽  
Hong Bing Fang
Keyword(s):  
Lagrange Multiplier ◽  
Scenario Analysis ◽  
Influence Factors ◽  
Optimal Solution ◽  
Weapon System ◽  
Improved Method ◽  
Order Model ◽  
Operational Capabilities ◽  
Threat Level ◽  
Typical Scenario

In order to evaluate the threat level of air targets objectively, based on comprehensive consideration the influence factors of threat level of air targets and operational capabilities of weapon system, an improved method of TOPSIS is presented, which is used in comparing and ordering of air targets, and the targets interception order model is also proposed, the optimal solution and the index weights are got by Lagrange multiplier method. Combined with the typical scenario, analysis of example simulation is done and the results show that the method and the model are feasible.

scholarly journals Identification and influence factors analysis of blade crack mistuning in hard-coated blisk based on modified component mode mistuning reduced-order model

2020 ◽  
pp. 146134842097138
Author(s):  
Kunpeng Xu ◽  
Xianfei Yan ◽  
Dongxu Du ◽  
Wei Sun
Keyword(s):  
Crack Length ◽  
Influence Factors ◽  
Reduced Order Model ◽  
Order Model ◽  
Reduced Order ◽  
Crack Location ◽  
Vibration Localization ◽  
Identification Method ◽  
Bending Modes ◽  
Blade Crack

Blade crack will cause severe mistuning of hard-coated blisks, which will lead to vibration localization. To identify crack mistuning and analyze influence factors, in this study, a mistuning identification method of blade cracks in hard-coated blisks is presented based on modified component mode mistuning reduced-order model, in which the hard-coated blisk with blade crack is decomposed into a substructure of tuned hard-coated blisk and a substructure of coated blade with cracks. Crack mistuning of each coated blade can be obtained by a single identification calculation. After verifying the rationality of this identification method, the influence factors of blade crack mistuning are analyzed. The influence factors include the crack location on the coated blade (cracks occurring only in coating or only in blade substrate or both in blade substrate and coating), crack length, crack position in the radial direction of the blisk, and modal data type of coated blisk used for mistuning identification calculation. The research results show that, with the increase of crack length, the mistuning of crack occurring only in the coating does not increase continuously but decreases firstly and then increases. For the first bending modes, the closer the blade crack is to the blade root, the larger the mistuning is. For the second bending modes, the blade crack located at the position of maximum modal displacement will produce large mistuning. For hard-coated blisk with blade crack, these crack mistuning variation rules are of great significance to the dynamic analysis and the determination of the crack location.

Study on Layout Planning of Transfer Hub Integration of Urban Passenger Transit

2013 ◽  
Vol 671-674 ◽  
pp. 2928-2936 ◽  
Author(s):  
Zheng Yu Wang ◽  
Wei Dong Chen ◽  
Hua Fei Jia ◽  
Chen Bing Li
Keyword(s):  
Rough Set ◽  
Attribute Reduction ◽  
Influence Factors ◽  
Optimal Solution ◽  
Evaluation Index System ◽  
Evaluation Index ◽  
Entropy Weight ◽  
Layout Planning ◽  
The Subject ◽  
Topsis Model

In the background of the integration, how to scientifically and reasonably distribute transfer hubs becomes the problem needed to be solved urgently on traffic experts. First of all, this paper gives initial selections of transfer hub layout planning; then, on the basis of analyzing the influence factors of the layout planning, the evaluation index system is built; and based on rough set attribute reduction knowledge, the cluster analysis of initial selections is done by using the SOFM neural network, drawing the suboptimal alternatives; afterwards, through the establishment of the TOPSIS model based on entropy weight, the suboptimal alternatives are further optimalized, ultimately getting the optimal solution; finally, taking the haidian district of Beijing as an example, the model and algorithm of the subject are validated.

The Adsorption of Copper Ions Using Cyclodextrin Cross-Linked Magnetic Chitosan Microsphere

2012 ◽  
Vol 209-211 ◽  
pp. 1929-1934
Author(s):  
Jin Song Wang ◽  
Hui Yan Mo ◽  
Qing Wei Guo ◽  
Zhen Cheng Xu
Keyword(s):  
Copper Ions ◽  
Influence Factors ◽  
Second Order ◽  
Kinetic Properties ◽  
Order Model ◽  
Magnetic Chitosan ◽  
Pseudo Second Order ◽  
Percentage Removal ◽  
C 50 ◽  
Second Order Model

In this experiment, cyclodextrin cross-linked magnetic chitosan（CCMC ）microsphere was prepared, glutaraldehyde was chosen as crosslinker, Cyclodextrin and chitosan was synthezied. To observe the influence factors of adsorption and obtain the optimum condition, the adsorption of copper ions by CCMC was explored under the different pH, initial concentration, temperature, reaction time and so on. The results indicated that CCMC had a high percentage removal of Cu2+, optimum adsorption was observed at pH 5.0. The adsorption rate of Cu2+ on CCMC was quick and the percentage removal reached beyond 90% after 30min, indicating that the adsorption equilibrium could be established within 30 min. The kinetic and thermodynamic properties of CCMC was also explored, under the concentration of Cu2+ of 50mg/L, 100mg/L, 150mg/L, 200mg/L, 300mg/L, 500mg/L on the temperature of 25°C, 35°C, 45°C, 50°C. Freunlich isothermal to Langmuir isothermal was used to fit the data of adsorption capacity of Cu2+, which showed that the adsorption process of Cu2+ was better described by Freunlich isothermal than Langmuir isothermal. As to the kinetic properties, the experimental data of Cu2+ adsorption onto CCMC fitted to the pseudo-first order model and pseudo-second order model, but the adsorption of Cu2+ onto CCMC conformed to pseudo-second order model, the R2 reached above 0.999.

Application of Interval Multiple Attribute Decision-Making Method to Standard Instrument Departure Procedure Design' Scheme

2013 ◽  
Vol 409-410 ◽  
pp. 1248-1252
Author(s):  
Chen Ken
Keyword(s):  
Evaluation Model ◽  
Influence Factors ◽  
Optimal Solution ◽  
Multiple Attribute Decision Making ◽  
Evaluation Index System ◽  
Air Traffic Flow Management ◽  
Standard Instrument ◽  
Multiple Attribute ◽  
Traffic Flow Management ◽  
Selection Of

The optimal selection of the standard instrument departure procedure design (SIDPD) scheme is directly related to flight safety, air traffic flow management, and efficient use of airspace of aerodrome. In practice, the selection of the SIDPDs scheme is usually based on experts knowledge and experience in order to determine the optimal solution, which has the subjectivity and arbitrariness defects. In this paper, we comprehensively study the influence factors of standard instrument departure procedure design (SIDPD) scheme and establish an optimal evaluation index system. In addition, through applying relative membership degree rule, we build an evaluation model for optimization of SIDPD based on the evaluation of each index in the form of interval number. At the end of this paper, we show the effectiveness and feasibility of this model through an example.

scholarly journals Exclusivity Regularized Machine: A New Ensemble SVM Classifier

2017 ◽  
Author(s):  
Xiaojie Guo ◽  
Xiaobo Wang ◽  
Haibin Ling
Keyword(s):  
Theoretical Analysis ◽  
Lagrange Multiplier ◽  
Linear Complexity ◽  
Optimal Solution ◽  
Svm Classifier ◽  
Global Optimality ◽  
The Arts ◽  
Augmented Lagrange Multiplier ◽  
Training Error

The diversity of base learners is of utmost importance to a good ensemble. This paper defines a novel measurement of diversity, termed as exclusivity. With the designed exclusivity, we further propose an ensemble SVM classifier, namely Exclusivity Regularized Machine (ExRM), to jointly suppress the training error of ensemble and enhance the diversity between bases. Moreover, an Augmented Lagrange Multiplier based algorithm is customized to effectively and efficiently seek the optimal solution of ExRM. Theoretical analysis on convergence, global optimality and linear complexity of the proposed algorithm, as well as experiments are provided to reveal the efficacy of our method and show its superiority over state-of-the-arts in terms of accuracy and efficiency.

Numerical Analysis and Optimal Design Investigation on Air Duct of Tent Air-Conditioner

2013 ◽  
Vol 644 ◽  
pp. 216-220
Author(s):  
Zhong Min Wan ◽  
Zu Yi Zheng ◽  
Jun Hua Wan ◽  
Jing Liu ◽  
Chong Qing Huang ◽  
...  
Keyword(s):  
Structural Characteristics ◽  
Influence Factors ◽  
Flow Characteristics ◽  
Optimal Solution ◽  
Internal Flow ◽  
Aerodynamic Characteristics ◽  
Air Conditioner ◽  
Air Flow Rate ◽  
Run Up ◽  
Design Options

According to the structural characteristics of tent air-conditioner, the inner flow mechanism and influence factors on aerodynamic characteristics of the air duct was investigated by using Fluent commercial CFD code. The disadvantages of original air duct were analyzed, several design options were proposed, internal flow characteristics was analyzed by numerical simulation, the optimal solution of air duct structure was fixed. The numerical results show that the air flow rate of optimal air duct run up to 125 m3/ h, increase by 18.9% compared to the original duct.

scholarly journals A Measurement Model of Operational Capabilities in Application Software Firms

2015 ◽  
Vol 10 (12) ◽  
pp. 89 ◽  
Author(s):  
Keonhyeong Lee
Keyword(s):  
Measurement Model ◽  
Partial Least Square ◽  
Least Square ◽  
Application Software ◽  
Order Model ◽  
Android Apps ◽  
Partial Least Square Analysis ◽  
Operational Capabilities ◽  
Software Firms ◽  
Managerial Implications

<p>In recent strategy literatures, operational capabilities in the information technology have been mostly interested among academic scholars since newly developed mobile devices emerged. However, the conceptualization and measurement of operational capabilities in application software firms has little come to attention. The purpose of this study is to propose a measurable model of operational capabilities by conceptualizing, operationalizing, and measuring operational capabilities. Specifically, based upon theoretical and practical literatures, this study seeks to conceptualize a set of capabilities-organizing, managing, and technical capability-that help operating existing capabilities in the application software business. Moreover, it concretizes the construct of operational capabilities with formulating reflective and formative modes, and also certifies their validities through empirical data-driven testing from 227 mobile software developers, sourced from Mac App Store and Google Android Apps. In the measurement model, it results in reflective indicators as first-order model and formative indicators as second-order model using partial least square analysis techniques. Lastly, the author discusses the theoretical and managerial implications and provide some suggestions for the future study.</p>

scholarly journals Multiple-criteria model for optimal Anti Tank Ground missile weapon system procurement

2021 ◽  
Vol 69 (4) ◽  
pp. 792-827
Author(s):  
Dragan Pamučar ◽  
Slobodan Dimitrijević
Keyword(s):  
Armed Forces ◽  
Decision Makers ◽  
Multi Criteria Decision Making ◽  
Weapon System ◽  
Weapon Systems ◽  
Course Of Action ◽  
Operational Capabilities ◽  
Order Preference ◽  
Adequate Evaluation ◽  
Topsis Technique

Introduction: Anti Tank Ground Missiles (ATGMs) are one of the most efficient weapon systems to counter armored and mechanized units. Procurement of these weapons is imperative for armed forces of any country. Adequate evaluation and choice of an efficient ATGM system is a very important factor which affects operational capabilities of armed forces. The purpose of this paper is to present that multi criteria methods can be a useful tool for optimal procurement of ATGMs for armed forces. Methods: The implementation of the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) and the MABAC (Multi Attributive Border Approximation Area Comparison) multi criteria methods will be proposed for decision makers to solve the problem of ATGM procurement. In this paper, four models of ATGMs will be proposed as possible solutions. These ATGMs will be presented as alternatives A1, A2, A3 and A4. Results: The implementation of the methods in this paper has led to the conclusion that the alternative A2 has the highest value and therefore the best course of action for decision makers is to chose procurement of this model of ATGMs. Conclusion: The conclusion is that the mathematical models of multi-criteria decision making presented in this paper unequivocally point to the alternative with the best characteristics, thus presenting extremely useful tools for decision makers.

scholarly journals The Improvement of Quantum Genetic Algorithm and Its Application on Function Optimization

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Huaixiao Wang ◽  
Jianyong Liu ◽  
Jun Zhi ◽  
Chengqun Fu
Keyword(s):  
Genetic Algorithm ◽  
Optimization Problems ◽  
Evolutionary Process ◽  
Optimal Solution ◽  
Function Optimization ◽  
The Self ◽  
Improved Method ◽  
Simulation Test ◽  
Quantum Genetic Algorithm ◽  
Mutation Operation

To accelerate the evolutionary process and increase the probability to find the optimal solution, the following methods are proposed to improve the conventional quantum genetic algorithm: an improved method to determine the rotating angle, the self-adaptive rotating angle strategy, adding the quantum mutation operation and quantum disaster operation. The efficiency and accuracy to search the optimal solution of the algorithm are greatly improved. Simulation test shows that the improved quantum genetic algorithm is more effective than the conventional quantum genetic algorithm to solve some optimization problems.

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