Pub Date : 2018-10-01DOI: 10.1109/IAEAC.2018.8577481
Wenzhe Liu, Boyuan Ma, J. Pan
A cylindrical dielectric resonator antenna (CDRA) is proposed for millimeter wave (MMW) automotive radar (AR) systems. The antenna has moderate gain and beamwidth, good cross-polarization (XP) suppression, relative wide bandwidth, and another adjacent potential band. The antenna operates at 24 GHz, leading to very small size. In order to meet the requirements of fixation and alignment, an extra fixture is co-fabricated with the substrate made of the same material. The effect of the fixture on the dielectric resonator antenna is investigated by simulation. It is found that with the fixture, which has much shorter height and lower permittivity, the dielectric resonator stays almost unchanged in terms of resonant mode, resonant frequency, Q factor, and internal field. The antenna has a gain of 6 dB, a XP suppression of more than 40 dB, and a bandwidth of 22.6% at 24 GHz.
{"title":"24 GHz Dielectric Resonator Antenna for MMW Automotive Radar","authors":"Wenzhe Liu, Boyuan Ma, J. Pan","doi":"10.1109/IAEAC.2018.8577481","DOIUrl":"https://doi.org/10.1109/IAEAC.2018.8577481","url":null,"abstract":"A cylindrical dielectric resonator antenna (CDRA) is proposed for millimeter wave (MMW) automotive radar (AR) systems. The antenna has moderate gain and beamwidth, good cross-polarization (XP) suppression, relative wide bandwidth, and another adjacent potential band. The antenna operates at 24 GHz, leading to very small size. In order to meet the requirements of fixation and alignment, an extra fixture is co-fabricated with the substrate made of the same material. The effect of the fixture on the dielectric resonator antenna is investigated by simulation. It is found that with the fixture, which has much shorter height and lower permittivity, the dielectric resonator stays almost unchanged in terms of resonant mode, resonant frequency, Q factor, and internal field. The antenna has a gain of 6 dB, a XP suppression of more than 40 dB, and a bandwidth of 22.6% at 24 GHz.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"16 1","pages":"351-354"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79075060","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/IAEAC.2018.8577701
S. Zhang, Yongxiang Li, Tao Jin, Hua Yu, Gang Yang, Zhixiang Liu
In order to meet the optimization of power distribution throughout the country, China will build an UHV AC/DC hybrid power grid with UHV AC and DC backbone grids and coordinated development of power grids at all levels. This paper is based on the characteristics of the complex system of power system, and the entropy theory is applicable to analyze the nature of the orderliness of complex systems. The entropy index is applied to the evaluation system of power system operation status, and the existing entropy index is summarized and analyzed. The weighted power flow entropy weighted by the regional average load rate corrected by the mean squared coefficient is used as the mathematical representation of the self-organized criticality of the power system. Finally, a comparative analysis of the example results shows that the index can accurately and effectively reflect the degree of order distribution of the system power flow.
{"title":"Analysis and Research on Power Flow Entropy Index of Power System","authors":"S. Zhang, Yongxiang Li, Tao Jin, Hua Yu, Gang Yang, Zhixiang Liu","doi":"10.1109/IAEAC.2018.8577701","DOIUrl":"https://doi.org/10.1109/IAEAC.2018.8577701","url":null,"abstract":"In order to meet the optimization of power distribution throughout the country, China will build an UHV AC/DC hybrid power grid with UHV AC and DC backbone grids and coordinated development of power grids at all levels. This paper is based on the characteristics of the complex system of power system, and the entropy theory is applicable to analyze the nature of the orderliness of complex systems. The entropy index is applied to the evaluation system of power system operation status, and the existing entropy index is summarized and analyzed. The weighted power flow entropy weighted by the regional average load rate corrected by the mean squared coefficient is used as the mathematical representation of the self-organized criticality of the power system. Finally, a comparative analysis of the example results shows that the index can accurately and effectively reflect the degree of order distribution of the system power flow.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"17 1","pages":"1150-1153"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79343742","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/IAEAC.2018.8577223
Jianfeng Lin, Yanqiang Zhang, Xuxu Zhang, Weiwei Li, Weiqing Lin
In order to establish the mathematical model of rotary axes geometric error of machine tool quickly and accurately, a parameterized modeling method based on Chebyshev polynomial is proposed in this paper. First, the rotation angle of the rotation axis of the machine tool is converted into a Chebyshev variable, and then the Chebyshev variable is substituted into Chebyshev polynomials of different orders. Second, The corresponding coefficients are obtained by multiple linear regression based on Chebyshev basis function values and Chebyshev variables. Finally, the transformation relationship between the rotation angle of the rotation axis and the Chebyshev variable is substituted into the mathematical model of the basic geometric error term. Compared to other methods, the modeling process is simple and easy to program. This paper takes the two rotary axes of VMC65m as an example to obtain the geometric error distribution of the working space of the machine tool, which provides a theoretical basis for the design and error compensation of the machine tool.
{"title":"Parametric Modeling of Geometric Errors for CNC Machine Tools Based on Chebyshev Polynomial","authors":"Jianfeng Lin, Yanqiang Zhang, Xuxu Zhang, Weiwei Li, Weiqing Lin","doi":"10.1109/IAEAC.2018.8577223","DOIUrl":"https://doi.org/10.1109/IAEAC.2018.8577223","url":null,"abstract":"In order to establish the mathematical model of rotary axes geometric error of machine tool quickly and accurately, a parameterized modeling method based on Chebyshev polynomial is proposed in this paper. First, the rotation angle of the rotation axis of the machine tool is converted into a Chebyshev variable, and then the Chebyshev variable is substituted into Chebyshev polynomials of different orders. Second, The corresponding coefficients are obtained by multiple linear regression based on Chebyshev basis function values and Chebyshev variables. Finally, the transformation relationship between the rotation angle of the rotation axis and the Chebyshev variable is substituted into the mathematical model of the basic geometric error term. Compared to other methods, the modeling process is simple and easy to program. This paper takes the two rotary axes of VMC65m as an example to obtain the geometric error distribution of the working space of the machine tool, which provides a theoretical basis for the design and error compensation of the machine tool.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"5 1","pages":"2293-2297"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81949236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/IAEAC.2018.8577227
Zipeng Xie, Liguo Sun, Fang Wu, Yongjie Li, Rui Cao
Void defects in composite materials have negative effects on their strength and reliability. In this paper, based on spoof surface plasmons (SSPs) technology, a new microwave detector with high sensitivity is proposed for non-destructive testing of non-conductive composite materials, which are simplified as dielectrics. Firstly, spoof surface plasmon polaritons (SSPPs) are studied to detect void defects, such as blind holes in dielectrics. According to simulation, the change of defect size, such as radius of blind hole, could affect cutoff frequency of the surface wave. It is also verified that this detecting method is effective but the variation of cutoff frequency is not sensitive enough to measure and qualify. Therefore, for improvement, a new structure using SSPPs to excite spoof localized surface plasmons (spoof- LSPs) is presented to detect void defects in dielectric material. Since the coupling between SSPPs and spoof-LSPs is very strong, the resonant frequency of spoof-LSPs is shifted and the magnitude of the scattering parameter S21 is varied significantly in specific frequency when the size of defect is changed. High sensitivities are validated in both simulation and measurement.
{"title":"Applying Spoof Surface Plasmons to Non-destructive Testing","authors":"Zipeng Xie, Liguo Sun, Fang Wu, Yongjie Li, Rui Cao","doi":"10.1109/IAEAC.2018.8577227","DOIUrl":"https://doi.org/10.1109/IAEAC.2018.8577227","url":null,"abstract":"Void defects in composite materials have negative effects on their strength and reliability. In this paper, based on spoof surface plasmons (SSPs) technology, a new microwave detector with high sensitivity is proposed for non-destructive testing of non-conductive composite materials, which are simplified as dielectrics. Firstly, spoof surface plasmon polaritons (SSPPs) are studied to detect void defects, such as blind holes in dielectrics. According to simulation, the change of defect size, such as radius of blind hole, could affect cutoff frequency of the surface wave. It is also verified that this detecting method is effective but the variation of cutoff frequency is not sensitive enough to measure and qualify. Therefore, for improvement, a new structure using SSPPs to excite spoof localized surface plasmons (spoof- LSPs) is presented to detect void defects in dielectric material. Since the coupling between SSPPs and spoof-LSPs is very strong, the resonant frequency of spoof-LSPs is shifted and the magnitude of the scattering parameter S21 is varied significantly in specific frequency when the size of defect is changed. High sensitivities are validated in both simulation and measurement.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"127 1","pages":"330-333"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84402295","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/IAEAC.2018.8577886
D. La, Jun Xu, Jing-Wei Guo, Bu-Ying Zhang, S. Jia
In this paper, a novel curved line shape defected microstip structure (DMS) is proposed. The resonant frequencies of the proposed curved line shape DMS is simulated by using HFSS and can be adjusted by changing the length a. A miniaturized dual-band band-stop filter is presented by using the cascade structure of the proposed curved line shape DMSs. The total circuit is small. The simulation results of the proposed band-stop filter are obtained through HFSS. There are three reflection zeros located at about 4.08 GHz, 5.26GHz and 6.2 GHz, which can improve the band-stop filter's sharp rejection. The measurement results are consistent with simulation ones.
{"title":"Dual-Band Band-Stop Filter Design Based on Single Defected Microstrip Structure","authors":"D. La, Jun Xu, Jing-Wei Guo, Bu-Ying Zhang, S. Jia","doi":"10.1109/IAEAC.2018.8577886","DOIUrl":"https://doi.org/10.1109/IAEAC.2018.8577886","url":null,"abstract":"In this paper, a novel curved line shape defected microstip structure (DMS) is proposed. The resonant frequencies of the proposed curved line shape DMS is simulated by using HFSS and can be adjusted by changing the length a. A miniaturized dual-band band-stop filter is presented by using the cascade structure of the proposed curved line shape DMSs. The total circuit is small. The simulation results of the proposed band-stop filter are obtained through HFSS. There are three reflection zeros located at about 4.08 GHz, 5.26GHz and 6.2 GHz, which can improve the band-stop filter's sharp rejection. The measurement results are consistent with simulation ones.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"28 1","pages":"39-42"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84905423","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/IAEAC.2018.8577784
Yiping Cheng, Guizhi Cheng
In bignum arithmetic, the cube root and higherorder root operations are conventionally treated as elementary functions, meaning that for them, correct rounding is not required, usually even without an error bound. In this paper we provide a unified algorithm RootRem to find the (arbitrary-ordered) root of bignums. This algorithm first finds the reciprocal root by using Newton iteration, and then obtains the root through a reciprocal operation. It has guaranteed correct rounding in all cases. RootRem(2), which is to find the square root, is currently found to be less efficient than the existing algorithm SqrtRem proposed by Brent and Zimmermann. However, RootRem(p) with $pgeq 3$ fill an important theoretical gap and are major improvements over the existing algorithms.
{"title":"A Unified Root Algorithm in Bignum Arithmetic","authors":"Yiping Cheng, Guizhi Cheng","doi":"10.1109/IAEAC.2018.8577784","DOIUrl":"https://doi.org/10.1109/IAEAC.2018.8577784","url":null,"abstract":"In bignum arithmetic, the cube root and higherorder root operations are conventionally treated as elementary functions, meaning that for them, correct rounding is not required, usually even without an error bound. In this paper we provide a unified algorithm RootRem to find the (arbitrary-ordered) root of bignums. This algorithm first finds the reciprocal root by using Newton iteration, and then obtains the root through a reciprocal operation. It has guaranteed correct rounding in all cases. RootRem(2), which is to find the square root, is currently found to be less efficient than the existing algorithm SqrtRem proposed by Brent and Zimmermann. However, RootRem(p) with $pgeq 3$ fill an important theoretical gap and are major improvements over the existing algorithms.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"35 1","pages":"527-531"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85050521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/IAEAC.2018.8577523
Haolin Yin, Rong Jia, Fuqi Ma, Dameng Wang
There is a correlation between two parameters in the data collected by the SCADA system of wind turbine. In this paper, SCADA parameters were related to each subsystem, and their correlations can be found according to the principle of wind turbine operation. The Polynomial Regression was used to establish normal relations matrix between two parameters in different wind speed. The distance between undetermined SCADA data relationship matrix and normal SCADA data relationship matrix was treated as the evaluation criteria. Based on SCADA data collected before a failure occurs of two wind turbine located in a wind farm of Zhangbei County, MATLAB was used to verify the validity of this method. The result confirmed that this method can reflect faults two months ahead of the SCADA system.
{"title":"Wind Turbine Condition Monitoring based on SCADA Data Analysis","authors":"Haolin Yin, Rong Jia, Fuqi Ma, Dameng Wang","doi":"10.1109/IAEAC.2018.8577523","DOIUrl":"https://doi.org/10.1109/IAEAC.2018.8577523","url":null,"abstract":"There is a correlation between two parameters in the data collected by the SCADA system of wind turbine. In this paper, SCADA parameters were related to each subsystem, and their correlations can be found according to the principle of wind turbine operation. The Polynomial Regression was used to establish normal relations matrix between two parameters in different wind speed. The distance between undetermined SCADA data relationship matrix and normal SCADA data relationship matrix was treated as the evaluation criteria. Based on SCADA data collected before a failure occurs of two wind turbine located in a wind farm of Zhangbei County, MATLAB was used to verify the validity of this method. The result confirmed that this method can reflect faults two months ahead of the SCADA system.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"51 1","pages":"1101-1105"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85739482","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/IAEAC.2018.8577836
Xiangwen Fan, M. Fang, Yongyi He, Pengfei Cheng
For qualifying the reliability and enhancing the performance of automotive power electronic unit (PEU), a testing system based on energy-consuming platform is developed, which adopts advanced sensing and automatic control technologies to simulate the real working environment of PEU. The system mainly includes high and low voltage energy supply units, electronic load unit, dummy load units, hydraulic water cooling unit, test console unit, temperature control unit and main control unit, and experiments are implemented on the system for PEU products. Meanwhile, system capability index CGK and GR&R are 1.912 and 2.74% separately calculated by measurement system analysis (MSA) method used data obtained from a large number of tests, which indicates that the accuracy, stability and repeatability of testing system are excellent. All analysis results demonstrate that the system meets the performance indicator requirement of testing, and can provide accurate test data for the development of PEU.
{"title":"Design of Testing System for Automotive Power Electronic Unit Based on Energy-Consuming Platform","authors":"Xiangwen Fan, M. Fang, Yongyi He, Pengfei Cheng","doi":"10.1109/IAEAC.2018.8577836","DOIUrl":"https://doi.org/10.1109/IAEAC.2018.8577836","url":null,"abstract":"For qualifying the reliability and enhancing the performance of automotive power electronic unit (PEU), a testing system based on energy-consuming platform is developed, which adopts advanced sensing and automatic control technologies to simulate the real working environment of PEU. The system mainly includes high and low voltage energy supply units, electronic load unit, dummy load units, hydraulic water cooling unit, test console unit, temperature control unit and main control unit, and experiments are implemented on the system for PEU products. Meanwhile, system capability index CGK and GR&R are 1.912 and 2.74% separately calculated by measurement system analysis (MSA) method used data obtained from a large number of tests, which indicates that the accuracy, stability and repeatability of testing system are excellent. All analysis results demonstrate that the system meets the performance indicator requirement of testing, and can provide accurate test data for the development of PEU.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"21 1","pages":"1236-1243"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80957141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/IAEAC.2018.8577853
Li Shan, Xin Pei-zhe, Z. Guohui
This paper presents a photovoltaic (PV) short-term power prediction method based on fuzzy clustering and support vector machines. Using the meteorological information to establish a fuzzy similarity matrix, a set of historical day sample sets most similar to the forecast day is obtained through classification recognition, and the meteorological factors of the prediction date are used as input samples of the prediction model. Thus, the PV power generation prediction model was established. According to the actual measure data, the proposed model is verified. The results show that the method has high prediction accuracy and has better reference value for PV power generation prediction.
{"title":"Short-term Forecasting of PV Power Based on the Fuzzy Clustering Algorithm and Support Vector Machine in Smart Distribution Planning","authors":"Li Shan, Xin Pei-zhe, Z. Guohui","doi":"10.1109/IAEAC.2018.8577853","DOIUrl":"https://doi.org/10.1109/IAEAC.2018.8577853","url":null,"abstract":"This paper presents a photovoltaic (PV) short-term power prediction method based on fuzzy clustering and support vector machines. Using the meteorological information to establish a fuzzy similarity matrix, a set of historical day sample sets most similar to the forecast day is obtained through classification recognition, and the meteorological factors of the prediction date are used as input samples of the prediction model. Thus, the PV power generation prediction model was established. According to the actual measure data, the proposed model is verified. The results show that the method has high prediction accuracy and has better reference value for PV power generation prediction.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"101 1","pages":"643-647"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85816052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-10-01DOI: 10.1109/IAEAC.2018.8577258
Xiangyu Liu, Haiyang Jiang, H. Zhao, Hai-tao Yang
In order to effectively estimate the influence of space information support to operation progress, improve the Lanchester combat equation and establish Metcalf-Lanchester combat model under the space information support. Through the improvement of space information support equipment, developping different support plan, then carry out simulation and analyze the impact of different equipment on operation results. The result of simulation illustrate that the model can reflect the influence of space information support.
{"title":"Space Information Support Warfare Model Based on Metcalf-Lanchester‘s Equation","authors":"Xiangyu Liu, Haiyang Jiang, H. Zhao, Hai-tao Yang","doi":"10.1109/IAEAC.2018.8577258","DOIUrl":"https://doi.org/10.1109/IAEAC.2018.8577258","url":null,"abstract":"In order to effectively estimate the influence of space information support to operation progress, improve the Lanchester combat equation and establish Metcalf-Lanchester combat model under the space information support. Through the improvement of space information support equipment, developping different support plan, then carry out simulation and analyze the impact of different equipment on operation results. The result of simulation illustrate that the model can reflect the influence of space information support.","PeriodicalId":6573,"journal":{"name":"2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)","volume":"31 1","pages":"2339-2344"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77966317","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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