Visual-simulation region proposal and generative adversarial network based ground military target recognition

Ground military target recognition plays a crucial role in unmanned equipment and grasping the battlefield dynamics for military applications, but is disturbed by low-resolution and noisy-representation. In this paper, a recognition method, involving a novel visual attention mechanism-based Gabor region proposal sub-network (Gabor RPN) and improved refinement generative adversarial sub-network (GAN), is proposed. Novel central–peripheral rivalry 3D color Gabor filters are proposed to simulate retinal structures and taken as feature extraction convolutional kernels in low-level layer to improve the recognition accuracy and framework training efficiency in Gabor RPN. Improved refinement GAN is used to solve the problem of blurry target classification, involving a generator to directly generate large high-resolution images from small blurry ones and a discriminator to distinguish not only real images vs. fake images but also the class of targets. A special recognition dataset for ground military target, named Ground Military Target Dataset (GMTD), is constructed. Experiments performed on the GMTD dataset effectively demonstrate that our method can achieve better energy-saving and recognition results when low-resolution and noisy-representation targets are involved, thus ensuring this algorithm a good engineering application prospect.     

Ballistic response of armour plates using Generative Adversarial Networks

It is important to understand how ballistic materials respond to impact from projectiles such that informed decisions can be made in the design process of protective armour systems. Ballistic testing is a standards-based process where materials are tested to determine whether they meet protection, safety and performance criteria. For the V₅₀ ballistic test, projectiles are fired at different velocities to determine a key design parameter known as the ballistic limit velocity (BLV), the velocity above which projectiles perforate the target. These tests, however, are destructive by nature and as such there can be considerable associated costs, especially when studying complex armour materials and systems. This study proposes a unique solution to the problem using a recent class of machine learning system known as the Generative Adversarial Network (GAN). The GAN can be used to generate new ballistic samples as opposed to performing additional destructive experiments. A GAN network architecture is tested and trained on three different ballistic data sets, and their performance is compared. The trained networks were able to successfully produce ballistic curves with an overall RMSE of between 10 and 20 % and predicted the V₅₀ BLV in each case with an error of less than 5 %. The results demonstrate that it is possible to train generative networks on a limited number of ballistic samples and use the trained network to generate many new samples representative of the data that it was trained on. The paper spotlights the benefits that generative networks can bring to ballistic applications and provides an alternative to expensive testing during the early stages of the design process.     

刍议英文电影在大学英语课堂教学中的运用

在英语课堂教学中运用英文电影,可为学生提供丰富的语境化的语言和真实的跨文化信息,为学生创造在课堂上实践语言的机会,也更能激发学生的英语学习兴趣。分析在非英语专业学生课堂教学中选择英文电影的标准,探讨电影观前、观看和观后三个阶段的教学活动。     

真实性语言实践活动对大学生外语交际策略和听说能力的影响

外语交际能力是社会所需高水平复合应用型人才应具备的素养。本研究考察真实性语言应用实践活动对非英语专业大学生外语交际策略和听说能力的影响。通过对比研究发现,学生参加了真实性语言应用实践活动后,其交际策略使用情况得到改善,更倾向于使用积极交际策略,消极策略的使用频率明显减少;听说水平整体得到提高;寻找机会说英语的主动性增强。因此,真实性语言应用实践活动有助于大学生提高外语交际能力,提高社会所需整体应用能力素养。     

论高中《政治生活》实施探究性学习的一般模式

探究性学习的实质是要求教师转变教育观念,在教学中充分调动学生学习的主动性和积极性,激发学生学习的主人翁意识,真正使学生成为学习的主人。因此高中政治课的课堂教学应该充分渗透探究性学习的精神,同时教师又应在这一宗旨的指导下,根据教材的内容和特点的不同采用不同的模式,选用不同的方法,这样才能达到构建高效课堂的目的。     

Sequential learning versus no learning in Bayesian regression models

We consider two regression models: linear and logistic. The dependent variable is observed periodically and in each period a Bayesian formulation is used to generate updated forecasts of the dependent variable as new data is observed. One would expect that including new data in the Bayesian updates results in improved forecasts over not including the new data. Our findings indicate that this is not always true. We show there exists a subset of the independent variable space that we call the “region of no learning.” If the independent variable values for a given period in the future are in this region, then the forecast does not change with any new data. Moreover, if the independent variable values are in a neighborhood of the region of no learning, then there may be little benefit to wait for the new data and update the forecast. We propose a statistical approach to characterize this neighborhood which we call the “region of little learning.” Our results provide insights into the trade‐offs that exist in situations when the decision maker has an incentive to make an early decision based on an early forecast versus waiting to make a later decision based on an updated forecast. © 2014 Wiley Periodicals, Inc. Naval Research Logistics 61: 532–548, 2014     

试论汉语学习对英语学习者翻译能力的重要性

语言和文化密不可分,因此语言的学习也是文化的学习。一种文化的存在离不开交流,而文化交流离不开翻译和翻译工作者。合格的译者至少要精通两种语言。翻译工作者几乎都来自外语学习者,因此,研究英语学习者的汉语水平与其翻译能力的关系,有助于对症下药,为将来的翻译工作打好基础。     

军校《高等数学》教学存在的问题及对策

针对新的军事变革对军校《高等数学》教学所提出的新要求,分析了当前军队本科院校《高等数学》教学面临的现状及亟待解决的问题。针对问题提出了四种解决方法,并提出了教员在教学活动中实施创新、提高学员积极性应注意的四个方面。为了提高《高等数学》的教学效果,需要教员在教学中从多方面入手,提高学员的学习积极性,为学员创设一种轻松、愉快,富有好奇心、求知欲,充满自信的课堂环境。     

新疆高校预科汉语教学中有关问题的调查与思考

课时的安排,教材的使用,课程的合理设置,是保证教学任务顺利实施的前提。长期以来,新疆各高校预科汉语教学对此一直没有一个统一的认识,严重制约了该学科的发展。作者对全疆部分院校民族预科学生进行了问卷调查,其分析结果为新疆预科教学改革提供一定的参考。     

On valuing appreciating human assets in services

This paper derives optimal policies for when to hire, train, and lay off employees in service organizations when worker productivity appreciates deterministically or stochastically under constant, monotonic, and cyclic service demand. The model, an extension of the machine replacement problem from the engineering economy literature, uses infinite horizon linear programming to produce optimal personnel planning strategies and dual prices that characterize the workforce's economic value. The effect of employee attrition is also considered. In its valuation of human assets, unlike pure accounting approaches that only try to measure, this paper proposes an approach to capture the interaction between firm decisions pertaining to human resources and human resource value. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2007