Within the dicynodont genus Turfanodon,there are two recognized species,T.bogdaensis and T.jiufengensis.Both species are known by relatively complete cranial materials,but the mandibles and most postcranial bones have...Within the dicynodont genus Turfanodon,there are two recognized species,T.bogdaensis and T.jiufengensis.Both species are known by relatively complete cranial materials,but the mandibles and most postcranial bones have been described only for T.jiufengensis.This paper reports new dicynodont specimens from Turpan,Xinjiang,referring them to T.bogdaensis.They can clearly be differentiated from T.jiufengensis by the flatter lateral surface of the snout region,a prominent swelling on the lateral dentary shelf,and the rounded femoral head.The diagnosis of Turfanodon is revised.The combination of a flat circumorbital rim,posterior portion of anterior pterygoid rami with converging ventral ridges,and a possible autapomorphy,a deep notch on scapula forming procoracoid foramen,are confirmed.It also differentiated from all dicynodonts other than Myosaurus,Kembawacela and Lystrosaurus by having accessory ridges lateral to the median palatal ridge.展开更多
To achieve excellent tracking accuracy,a coarse-fine dual-stage control system is chosen for inertially stabilized platform.The coarse stage is a conventional inertially stabilized platform,and the fine stage is a sec...To achieve excellent tracking accuracy,a coarse-fine dual-stage control system is chosen for inertially stabilized platform.The coarse stage is a conventional inertially stabilized platform,and the fine stage is a secondary servo mechanism to control lens motion in the imaging optical path.Firstly,the dual-stage dynamics is mathematically modeled as a coupling multi-input multi-output(MIMO)control system.Then,by incorporating compensation of adaptive model to deal with parameter variations and nonlinearity,a systematic robust H∞control scheme is designed,which can achieve good tracking performance,as well as improve system robustness against model uncertainties.Lyapunov stability analysis confirmed the stability of the overall control system.Finally,simulation and experiment results are provided to demonstrate the feasibility and effectiveness of the proposed control design method.展开更多
Rational close planting is an economical and effective measure to increase crop yield.In order to explore the suitable planting density of major maize cultivars in northern Anhui,we studied the grain number per spike ...Rational close planting is an economical and effective measure to increase crop yield.In order to explore the suitable planting density of major maize cultivars in northern Anhui,we studied the grain number per spike and 1 000-grain weight of three major maize cultivars,including ‘Zhengdan958＇,‘Ludan981＇ and ‘Longping206＇.The effects of planting density on yield and correlated characters were further analyzed.The study was performed at agricultural experiment farms of Suzhou Academy of Agricultural Sciences.The planting density was set from 7 500 to 30 000 plants/hm^2 with an interval of 7 500 plants/hm^2.Water and fertilizer were supplied sufficiently.High yield cultivation method was also used.Based on the high yield achieved,we analyzed the relationship between crop yield and correlated characters.The results showed that,the planting density had the parabolic relation with the yield of ‘Zhengdan958＇ and ‘Longping206＇.The most suitable density of compact type cultivar ‘Zhengdan 958＇ was 73 300 plants/hm^2.The most suitable density of semi-compact type cultivar ‘Longping 206＇ was 68 600 plants/hm^2.The most suitable density of flat type cultivar ‘Ludan981＇ was 45 000-52 500 plants/hm^2.The planting density of compact type cultivar could be increased appropriately.However,it was negatively related to the grain number per spike and 1 000-grain weight if the planting density is out of range.So,Ludan981 should be planted in low density to avoid risk.展开更多
Robust Clustering methods are aimed at avoiding unsatisfactory results resulting from the presence of certain amount of outlying observations in the input data of many practical applications such as biological sequenc...Robust Clustering methods are aimed at avoiding unsatisfactory results resulting from the presence of certain amount of outlying observations in the input data of many practical applications such as biological sequences analysis or gene expressions analysis. This paper presents a fuzzy clustering algorithm based on average link and possibilistic clustering paradigm termed as AVLINK. It minimizes the average dissimilarity between pairs of patterns within the same cluster and at the same time the size of a cluster is maximized by computing the zeros of the derivative of proposed objective function. AVLINK along with the proposed initialization procedure show a high outliers rejection capability as it makes their membership very low furthermore it does not requires the number of clusters to be known in advance and it can discover clusters of non convex shape. The effectiveness and robustness of the proposed algorithms have been demonstrated on different types of protein data sets.展开更多
The development of robust damage detection methods for offshore structures is crucial to prevent catastrophes caused by structural failures. In this research, we developed an Improved Modal Strain Energy （IMSE） meth...The development of robust damage detection methods for offshore structures is crucial to prevent catastrophes caused by structural failures. In this research, we developed an Improved Modal Strain Energy （IMSE） method for detecting damage in offshore platform structures based on a traditional modal strain energy method （the Stubbs index method）. The most significant difference from the Stubbs index method was the application of modal frequencies. The goal was to improve the robustness of the traditional method. To demonstrate the effectiveness and practicality of the proposed IMSE method, both numerical and experimental studies were conducted for different damage scenarios using a jacket platform structure. The results demonstrated the effectiveness of the IMSE method in damage location when only limited, spatially incomplete, and noise-polluted modal data is available. Comparative studies showed that the IMSE index outperformed the Stubbs index and exhibited stronger robustness, confirming the superiority of the proposed approach.展开更多
文摘Within the dicynodont genus Turfanodon,there are two recognized species,T.bogdaensis and T.jiufengensis.Both species are known by relatively complete cranial materials,but the mandibles and most postcranial bones have been described only for T.jiufengensis.This paper reports new dicynodont specimens from Turpan,Xinjiang,referring them to T.bogdaensis.They can clearly be differentiated from T.jiufengensis by the flatter lateral surface of the snout region,a prominent swelling on the lateral dentary shelf,and the rounded femoral head.The diagnosis of Turfanodon is revised.The combination of a flat circumorbital rim,posterior portion of anterior pterygoid rami with converging ventral ridges,and a possible autapomorphy,a deep notch on scapula forming procoracoid foramen,are confirmed.It also differentiated from all dicynodonts other than Myosaurus,Kembawacela and Lystrosaurus by having accessory ridges lateral to the median palatal ridge.
基金Project (61174203) supported by the National Natural Science Foundation of China
文摘To achieve excellent tracking accuracy,a coarse-fine dual-stage control system is chosen for inertially stabilized platform.The coarse stage is a conventional inertially stabilized platform,and the fine stage is a secondary servo mechanism to control lens motion in the imaging optical path.Firstly,the dual-stage dynamics is mathematically modeled as a coupling multi-input multi-output(MIMO)control system.Then,by incorporating compensation of adaptive model to deal with parameter variations and nonlinearity,a systematic robust H∞control scheme is designed,which can achieve good tracking performance,as well as improve system robustness against model uncertainties.Lyapunov stability analysis confirmed the stability of the overall control system.Finally,simulation and experiment results are provided to demonstrate the feasibility and effectiveness of the proposed control design method.
基金Supported by Suzhou Experiment Station of National Maize Industry TechnologySystem(CARS-02-51)Anhui Key Scientific and Technological Project(12010302062)+1 种基金Anhui Strategic Emerging Industry Project(11010301026)Transformation Fund forAnhui Agricultural Science and Technology Achievements(2013-07)~~
文摘Rational close planting is an economical and effective measure to increase crop yield.In order to explore the suitable planting density of major maize cultivars in northern Anhui,we studied the grain number per spike and 1 000-grain weight of three major maize cultivars,including ‘Zhengdan958＇,‘Ludan981＇ and ‘Longping206＇.The effects of planting density on yield and correlated characters were further analyzed.The study was performed at agricultural experiment farms of Suzhou Academy of Agricultural Sciences.The planting density was set from 7 500 to 30 000 plants/hm^2 with an interval of 7 500 plants/hm^2.Water and fertilizer were supplied sufficiently.High yield cultivation method was also used.Based on the high yield achieved,we analyzed the relationship between crop yield and correlated characters.The results showed that,the planting density had the parabolic relation with the yield of ‘Zhengdan958＇ and ‘Longping206＇.The most suitable density of compact type cultivar ‘Zhengdan 958＇ was 73 300 plants/hm^2.The most suitable density of semi-compact type cultivar ‘Longping 206＇ was 68 600 plants/hm^2.The most suitable density of flat type cultivar ‘Ludan981＇ was 45 000-52 500 plants/hm^2.The planting density of compact type cultivar could be increased appropriately.However,it was negatively related to the grain number per spike and 1 000-grain weight if the planting density is out of range.So,Ludan981 should be planted in low density to avoid risk.
文摘Robust Clustering methods are aimed at avoiding unsatisfactory results resulting from the presence of certain amount of outlying observations in the input data of many practical applications such as biological sequences analysis or gene expressions analysis. This paper presents a fuzzy clustering algorithm based on average link and possibilistic clustering paradigm termed as AVLINK. It minimizes the average dissimilarity between pairs of patterns within the same cluster and at the same time the size of a cluster is maximized by computing the zeros of the derivative of proposed objective function. AVLINK along with the proposed initialization procedure show a high outliers rejection capability as it makes their membership very low furthermore it does not requires the number of clusters to be known in advance and it can discover clusters of non convex shape. The effectiveness and robustness of the proposed algorithms have been demonstrated on different types of protein data sets.
基金Supported by the National Natural Science Foundation of China （51209189, 51379196）, and the Natural Science Foundation of Shandong Province （ZR2013 EEQ006, ZR2011 EL049）
文摘The development of robust damage detection methods for offshore structures is crucial to prevent catastrophes caused by structural failures. In this research, we developed an Improved Modal Strain Energy （IMSE） method for detecting damage in offshore platform structures based on a traditional modal strain energy method （the Stubbs index method）. The most significant difference from the Stubbs index method was the application of modal frequencies. The goal was to improve the robustness of the traditional method. To demonstrate the effectiveness and practicality of the proposed IMSE method, both numerical and experimental studies were conducted for different damage scenarios using a jacket platform structure. The results demonstrated the effectiveness of the IMSE method in damage location when only limited, spatially incomplete, and noise-polluted modal data is available. Comparative studies showed that the IMSE index outperformed the Stubbs index and exhibited stronger robustness, confirming the superiority of the proposed approach.
