Algorithm for repairing the damaged images of grain structures obtained from the cellular automata and measurement of grain size

Computational models are developed to create grain structures using mathematical algorithms based on the chaos theory such as cellular automaton, geometrical models, fractals, and stochastic methods. Because of the chaotic nature of grain structures, some of the most popular routines are based on the Monte Carlo method, statistical distributions, and random walk methods, which can be easily programmed and included in nested loops. Nevertheless, grain structures are not well defined as the results of computational errors and numerical inconsistencies on mathematical methods. Due to the finite definition of numbers or the numerical restrictions during the simulation of solidification, damaged images appear on the screen. These images must be repaired to obtain a good measurement of grain geometrical properties. Some mathematical algorithms were developed to repair, measure, and characterize grain structures obtained from cellular automata in the present work. An appropriate measurement of grain size and the corrected identification of interfaces and length are very important topics in materials science because they are the representation and validation of mathematical models with real samples. As a result, the developed algorithms are tested and proved to be appropriate and efficient to eliminate the errors and characterize the grain structures.     

Microstructural evolution of a recycled aluminum alloy deformed by equal channel angular pressing process

The microstructural evolution of a recycled aluminum alloy after equal channel angular pressing (ECAP) up to four passes was investigated using X-ray diffraction (XRD) analysis and transmission electron microscopy (TEM). Microhardness tests were performed to determine the associated changes in mechanical properties. An ultrafine-grained material has been obtained with a microstructure showing a mixture of highly strained crystallites. A high density of dislocations was achieved as a result of severe plastic deformation (SPD) through the die. Changes in mechanical behavior are also revealed after ECAP due to strain hardening. Thermal analysis and TEM micrographs obtained after annealing indicate the succession of the recovery, recrystallization, and grain growth phenomena. Moreover, the energy stored during ECAP may be related to the dislocation density introduced by SPD. We finally emphasize the role played by the precipitates in this alloy.     

Arts,Culture and Science and Their Relationships

The context of this analysis is the golden years of the decade of the 1960s that served as a backdrop for consolidating capitalism and the globalized world. The aim is to analyze, understand and establish possible connections between the arts in general and the world in which modern society operates. This is a theoretical essay anchored in theoretical assumptions of sociology, arts and the culture of the globalized world and built on the practical experience of these researchers. We use the interpretative approach and technique of hermeneutic phenomenology to give meaning to historical events and the cultural and artistic implications of these events in the rise of science and technology. A systemic examination supports the relationship between art, culture, science and technology. The evidence shows that artistic and cultural issues are essential to make sense of life in society and in the absence of such basis, the world would be meaningless and humans would lose a sense of direction. It can be concluded that the arts are becoming increasingly relevant as the virtual world becomes large-scale and truly global, and that the development of science and technology benefits from the rise of the cultural and artistic world of today. Finally, the correspondence between the artistic and cultural world and the current scientific and technological development confirms the emergence of a globalized, digitalised (virtual) knowledge society.     

基于IOWA算子的安徽省物流需求组合预测

使用安徽省1988-2011年物流货运量的历史数据,分别采用多元回归、多项式拟合回归及指数曲线回归预测方法建立了安徽省物流需求的预测模型.在此基础上,建立了基于IOWA算子的组合预测模型和预测误差评价指标体系,最后应用此模型对安徽省未来10年的物流需求进行了预测.结果表明,该组合预测模型可作为安徽省物流需求预测的有效工具.     

电偶极子二项式展开的近似场解分析

利用二项式定理,对电偶极子空间解析场多极展开,分析了远场与二项式近似场解与实际电场的差别,表明电偶极中心距离、极轴角度等因素影响着误差程度,距电偶极中心约十倍距离时,近似场解与实际场强相差很小,并且误差程度也随极轴角度周期变化.     

最短路径算法在校园地理信息系统中的应用

本文介绍了求最短路径的迪杰斯特拉算法和弗洛伊德算法,并以地理信息数据为基础,以网络模型图为背景,利用弗洛伊德算法建立邻接矩阵D和路径矩阵P,最终求出任意两个位置的最短路径以及中间所经过的中转点。     

民事诉讼中自由心证制度适用之现实困境与应对机制研究

目前,民事诉讼过程中,绝大多数的法官在遇到证据不够充分、事实难以认定时更愿意直接适用证据规则,而不愿尝试适用自由心证制度。然而,多数现代国家认为自由心证制度是最好的证据制度,即法官应当发挥其主观能动性,排除外界干扰,基于自身内心的理性和良心对案件进行事实认定,将追求客观真实作为其终极目标,只有在追求客观真实难以实现的情况下才退而求其次选择法律真实,适用证据规则。     

乙二醇溶剂的流变相法合成LiNi0.5Mn1.5O4正极材料的研究

采用乙二醇为溶剂以流变相法合成物相纯净、结晶度高、粒径均匀的立方尖晶石结构的锂离子电池高压正极材料LiNi0.5Mn1.5O4.电化学测试表明：样品具有4.7V的充放电电压平台,在0.5C倍率电流下,80次循环后可逆容量还有127.7 mAh·g-1,容量保持率超过98％,并且经过活化后样品循环的库仑效率基本都保持在98％以上,样品具有较大的可逆容量、极其优秀的循环稳定性和充放电可逆性,这主要是由于样品的高结晶度和较好的颗粒分散性.     

基于教师职业幸福感视角的高校青年教师职业生态研究

高校青年教师作为高校教师的主体,是高校建设和发展的主力军,也是社会发展的中坚力量,他们的职业幸福感不仅关乎自己,更关乎学生的幸福和高校未来的内涵式发展.从教师职业幸福感这一视角出发,借鉴教育生态学的理论,提出了影响高校青年教师职业幸福感的三大敏感因素,由此入手,有针对性地提出了提升高校青年教师职业幸福感的有效策略.     

网络文化中传统文化艺术的传承与演绎

传统文化艺术要得到传承和发扬光大,必须经过现代化的演绎,借助信息化时代出现的网络传播技术.通过传统文化艺术在网络文化传播的新途径中传承、演绎的三个主要方面的体现,说明网络文化与传统文化艺术可以通过整合,使传统文化艺术成为网络文化发展的坚实后盾,网络文化成为传统文化弘扬和发展的新途径.