Experimental Study on the Small Flyer Initiating Behavior of Fine-grained Explosives

The initiating behavior of fine-grained explosives by small flyer is studied. The diameter of small flyer in this device is 1 ram. The test results indicate that the granularity of explosives has great effect on its flyer initiating sensitivity.The flyer initiating sensitivity of the fine-grained explosives is higher and the critical initiating energy is lower than that of common explosives. For common explosive, the flyer initiating sensitivity increases as the density is reduced. But for the fine-grained explosive, the test results are exactly opposite.     

一种鲁棒的基于深度数据的行为识别算法

人体行为识别在视频监控和人机交互中具有重要应 用,利用深度数据进行行为识别是近年兴起的技术,并取得了一定的进展,但还没有一个公 认的、鲁棒性好的行为描述方法,且性能有待提高。针对以上问题,本文提出了3种鲁棒的、深度数据上的行为描述方法,并结合支持向量机(SVM)分类器在两个公开的且具 有挑战性的深度数据集上对 它们进行评估。实验结果表明,本文提出的行为描述方法具有较好的区分性和鲁棒性,其性 能比一些先进的且具有代表性的算法性能更好。     

水基流延成型制备片式电感器件研究

以聚丙烯酸铵为粉体分散剂,聚乙烯醇和丙烯酸乳液为复合粘结剂,聚乙二醇(PEG600)为增塑剂,制备了Ni-Zn水基流延成型铁氧体浆料。研究了Ni-Zn铁氧体粉体在水中的稳定性,以及粘结剂含量、固相含量对浆料性能、流延薄带性能及薄带压合性能的影响。结果表明:在pH=9.5、分散剂含量(质量分数)为6‰时,Ni-Zn铁氧体粉体在水中具有较好的稳定性;在聚乙烯醇、丙烯酸树脂和固相含量(质量分数)分别达到6.5%、15%和54.5%时,所制Ni-Zn浆料具有较好的流动性,以其制成的20μm薄带则结构致密、附着力及压合较好、无分层;以水性浆料和有机浆料分别制成的1005型号电感(介质膜厚和线圈匝数相同)在100 MHz下测得的阻抗几乎相同,而前者成本却降低了80%左右。     

互联网视听节目监测从业人员上网行为审计系统设计与实现

文章根据互联网视听节目监测从业人员的工作内容,提出上网行为审计系统的设计并加以实现,系统满足加强互联网信息安全的需求,同时规范上网行为、提高工作效率。系统通过用户准入、上网行为记录、流量控制、终端管理等技术手段,部署了一套完整的上网行为审计系统。本系统旨在解决互联网视听节目监测从业人员访问互联网所衍生的信息安全隐患、工作效率低等问题。     

Research on behavioral targeted advertising in mobile Internet

This paper designs and implements the advertising recommending system based on user behavior under mobile Internet. By analyzing the user's online behavior, user profile that includes long-term interests and short-term interests can be obtained. In the end of this paper, the similarity between the behavior clusters and the advertisements is calculated, which is used to rank and select the most appropriate advertisements. The experiments show that the system can push the appropriate advertisements according to the user's different interest     

Effects of cooling rate on creep behavior of a Sn-3.5Ag alloy

The effect of cooling rate on microstructure and creep behavior of bulk, eutectic Sn-3.5Ag solders was studied. The cooling rate is an important processing variable that significantly affects the microstructure of the solder and therefore determines its mechanical behavior. Controlled cooling rates were obtained by cooling specimens in different media: water, air, and furnace, which resulted in cooling rates of 24°C/s, 0.5°C/s, and 0.08°C/s, respectively. The cooling rate decreased the secondary dendrite arm size and the spacing of the Sn-rich phase, as well as the morphology of Ag₃Sn. The Sn-dendrite arm size and spacing were smaller at fast cooling rates, while slower cooling rates yielded a nearly eutectic microstructure. The morphology of Ag₃Sn also changed from relatively spherical, at faster cooling rates, to needlelike for slower cooling. The effect of cooling rate on creep behavior was studied at 25°C, 60°C, 95°C, and 120°C. Faster cooling rates were found to increase the creep strength of the solder due to the refinement of the solder microstructure. Stress exponents, n, indicated that dislocation climb was the controlling mechanism. Activation energies, for all cooling rates, indicated that the dominant diffusional mechanism corresponded to dislocation pipe diffusion of Sn. Grain boundary sliding (GBS) measurements were conducted, using both scanning electron microscopy (SEM) and atomic force microscopy (AFM). It was observed that GBS had a very small contribution to the total creep strain.     

An evolutionary approach for personalization of content delivery in e-learning systems based on learner behavior forcing compatibility of learning materials

This paper presents an evolutionary approach for personalizing learning content for individual learners from a very large database in an e-learning system. The proposed work improves the quality of the self-learning process in an adaptive e-learning system by providing the most suitable content for individual learners. The paper depicts the results of personalizing the learning process by tuning the compatibility level of the learning objects with respect to the learning style of the learner, the complexity level of the learning objects with respect to the knowledge level of the learner and the interactivity level of the learner based on the satisfaction level of the learner during the learning process using a modified form of genetic algorithm named as Compatible Genetic Algorithm (CGA). The proposed work improves the efficiency of the genetic algorithms by forcing compatibility in the learning objects which has not been implemented so far in existing systems. Forcing compatibility into the search space not only helps to reduce the search space but also fills the search space with better chromosomes. The results show improvement in scores of the learners and also in their satisfaction levels. A comparison with the standard algorithms shows improvement in execution time, number of executing generations and fitness values. The results indicate that personalization of content delivery based on behavioral traits of learners leads to better learning.     

基于能量和信任的传感器网络行为分析

无线传感器集数据采集、处理和通信于一体,被广泛应用于军事、地震等应急通信领域。但安全问题是无线传感器网络的关键问题之一,介绍一种基于能量和信任的网络行为分析算法,可用于对网络入侵节点进行检测和控制,仿真实验结果表明该算法能快速有效检测节点入侵,对于提高传感器网络的安全可信能力具有重要的理论意义和应用价值。     

基于Simulink的Dynamos混沌系统仿真

Dynamos是含有复数向量的混沌系统,为了考察Dynamos混沌系统的动力学行为,结合该系统的复数动力学方程,首先将该系统转化为实数动力学方程,并利用Simulink具有的图形可视化和参数易调节的特点,对该系统进行了电路模拟仿真。仿真结果显示,该系统在特定参数下能够表现出混沌行为,并且同一向量下面的两个实变量具有同步的特点,这表明该系统还具有十分丰富的动力学行为。     

铁基SiN表面陶瓷的结构及耐酸性腐蚀行为

研究了铁基表面镀硅（～５０ｎｍ 厚）经氮离子束处理（能量为 ４０ｋｅ Ｖ,剂量分别为５×１０１６,１×１０１７,５×１０１７ｃｍ － ２）后的表面结构和在 １ Ｎ Ｈ２ Ｓ Ｏ４ 水溶液中的腐蚀行为。 Ｔ Ｅ Ｍ 证明,各试样表面均存在一完整的非晶层;电化学测量和失重实验表明,试样的失重量与浸泡时间满足幂函数规律;经表面处理过的试样,腐蚀电位提高了 ３０～４０ｍ Ｖ,腐蚀电流密度下降了 ４～６ 倍;耐腐蚀性随氮离子剂量的增大而不断提高。文章还结合腐蚀表面的粗糙度（分形维数）讨论了离子注入对表面结构和耐蚀性的影响。