Research and Application of Dynamic Equation for Full Frontal Impact

Full frontal impact theory needs researching and exploring to satisfy the primary safety design of occupant restraint system,avoiding the increasingly "engineering"trend in order to develop and design safety vehicle. After occupant restraint system is simulated by using linear elastic stiffness k,the occupant-vehicle frontal rigid barrier impact model is established. Dynamic equation of dummy chest coupling vehicle is built for full frontal impact based on ordinary vehicle deceleration by Hooke law,and the equation is solved by comparing coefficient and satisfying boundary qualifications. While relative vehicle characteristic parameters are kept unchanging,the actual vehicle deceleration is fitted to the simplified equivalent square wave( ESW),tipped equivalent square wave( TESW) and equivalent dual trapezoids wave( EDTW). Phase angle  and amplitude A of dynamic equations based on ESW,TESW and EDTW are calculated and deduced. The results show that: the dynamic equation of dummy chest coupling vehicle can be well utilized to instruct the primary safety design of full frontal impact for objective vehicle to satisfy chest deceleration demands and the equation based on TESW is best for this design.     

Gas chromatographic thermodynamics on hydration processes of magnesium chloride with low water

1　INTRODUCTIONMagnesiumchlorideisabasicmaterialforchem icalindustry ,andithaswideapplicationsinmetallur gy,architecturalmaterialandtextileindustry .Itisalsoamaterialforfire resistantproducts ,cryogenandcompoundfertilizerproductions[1] .Thefullydehy dratedmagnesiumchlorideisagoodmaterialforelec trolyticmetalmagnesium production .Becausemag nesiumchloridehasastrongadsorptiveability ,itisalsousedasadryingagent .Manysuccessfulworkshavebeendoneonthedehydrationofbischophite[2 10 ] .Butinfact,…     

Adaptive chatter mitigation control for machining processes with input saturations

Chatter is an unstable nonlinear dynamical phenomenon often encountered in machining operations because of the self‐excitation mechanism, which may lead to overcut or rapid tool wear, and hence, greatly influence the surface quality and productivity in milling operations. Recent years have witnessed an increasing industrial demand of high quality and high efficiency machining. This paper hereby develops a constrained active adaptive control method to mitigate the chatter dynamics with input saturations. To guarantee the feasibility of the proposed approach, moderate stable conditions of the closed‐loop system are afterwards derived by using the LaSalle–Yoshizawa theorem as well. Finally, numerical simulations are conducted to show the substantially enlarged stable region in the Lobe Diagram. Thus, the method can be expected to improve the efficiency of milling processes. Copyright © 2015 John Wiley & Sons, Ltd.     

基于仿真退火算法的任意阵列宽带波束形成

提出了基于仿真退火算法优化思想的任意宽带波束设计方法,其期望响应由工作频带划分成的等间隔窄子带上旁瓣波束形成权系数构成。各个子带上的低旁瓣波束则采用基于仿真退火波束形成原理的波束优化设计方法得到。借助计算机对二十四元圆阵进行波束优化设计。结果表明,使用上述方法设计的波束与常规方法相比,获得了更低的旁瓣级和更稳定束宽,充分说明了方法的可行性和有效性。     

基于MOPSO与凸优化算法的稀布圆阵列方向图优化

为了降低稀布阵列的峰值旁瓣电平并抑制稀布阵列的栅瓣,提出了一种多目标粒子群与凸优化相结合的方向图综合算法。该算法将多目标粒子群优化(Multi-objective particles swarm optimization,MOPSO)作为全局搜索器,凸优化算法作为局部搜索器来搜索最优解,优化的变量不仅是阵元的权值,而且还加入了阵元位置这一参数,从而能够提供更多的自由度来控制稀布阵列的性能。基于30阵元的稀布圆形阵列的仿真结果表明：与单纯使用MOPSO算法相比,本文提出的用MOPSO算法优化阵元位置,凸优化算法优化阵元权值的联合优化算法,得到的栅瓣和峰值旁瓣电平都小于-19.3　dB。     

Coupling image processing and stress analysis for damage identification in a human premolar tooth

Non-carious cervical lesions are characterized by the loss of dental hard tissue at the cement-enamel junction (CEJ). Exceeding stresses are therefore generated in the cervical region of the tooth that cause disruption of the bonds between the hydroxyapatite crystals, leading to crack formation and eventual loss of enamel and the underlying dentine.Damage identification was performed by image analysis techniques and allowed to quantitatively assess changes in teeth. A computerized two-step procedure was generated and applied to the first left maxillary human premolar. In the first step, dental images were digitally processed by a segmentation method in order to identify the damage. The considered morphological properties were the enamel thickness and total area, the number of fragments in which the enamel is chipped. The information retrieved by the data processing of the section images allowed to orient the stress investigation toward selected portions of the tooth. In the second step, a three-dimensional finite element model based on CT images of both the tooth and the periodontal ligament was employed to compare the changes occurring in the stress distributions in normal occlusion and malocclusion. The stress states were analyzed exclusively in the critical zones designated in the first step.The risk of failure at the CEJ and of crack initiation at the dentin-enamel junction through the quantification of first and third principal stresses, von Mises stress, and normal and tangential stresses, were also estimated.     

Novel algorithm for pose-invariant face recognition

By combining the AdaBoost modular locality preserving projection(AMLPP) algorithm and the locally linear regression(LLR) algorithm,a novel pose-invariant algorithm is proposed to realize high-accuracy face recognition under different poses.In the training stage of this algorithm,the AMLPP is employed to select the crucial frontal blocks and construct effective strong classifier.According to the selected frontal blocks and the corresponding non-frontal blocks,LLR is then applied to learn the linear mappings which will be used to convert the non-frontal blocks to visual frontal blocks.During the testing of the learned linear mappings,when a non-frontal face image is inputted,the non-frontal blocks corresponding to the selected frontal blocks are extracted and converted to the visual frontal blocks.The generated virtual frontal blocks are finally fed into the strong classifier constructed by AMLPP to realize accurate and efficient face recognition.Our algorithm is experimentally compared with other pose-invariant face recognition algorithms based on the Bosphorus database.The results show a significant improvement with our proposed algorithm.     

基于标记提取分水岭算法的医学图像分割

针对医学图像分割中分水岭算法的过分割问题,提出了一种改进的基于标记提取的分水岭算法．此算法埘分水岭算法进行厂两点改进：一是在预处理阶段,先对原始图像做腐蚀滤波和膨胀滤波处理,将原始吲像与腐蚀图像相加后减去膨胀图像得到合并图像,再对合并图像做开、闭运算,从而达到滤除原始图像中的噪声和非感知信息、保留原始图像结构信息的目的;二是在分割阶段,对开、闭运算后的图像进行分水岭分割,该分割由形态梯度计算、标记提取和分水岭分割二部分组成．改进后的算法因为无需进行分割后的区域合并处理,降低了分割的复杂性,同时能较好地抑制慨部医学图像中的过分割问题,并把图像中的病变区域有效分割出来．     

The influence of hippocampal lesions on the discrimination of structure and on spatial memory in pigeons (Columba livia).

Pigeons (Columba livia) were trained with a spatial structural discrimination, which was based on the spatial relationship among the components of a pattern, and a feature-binding structural discrimination, which was based on how different visual features within a pattern were combined. Neither discrimination was impaired by damage to the hippocampus and area parahippocampalis. The lesions impaired performance on a spatial working memory and a spatial reference memory task in open field. The results indicate an intact hippocampus is not essential for the solution of structural discriminations in pigeons and the hippocampus is important for processing some types of spatial information--that used in navigation, but not other types--that used in spatial structural discriminations. (PsycINFO Database Record (c) 2010 APA, all rights reserved)