India's counter-insurgency experience: the ‘trust and nurture’ strategy

The Indian Army, a force trained primarily for conventional warfare, has been engaged in internal counter-insurgency operations since the 1950s. Despite such a long innings on a counter-insurgency mode, little attention has been accorded within military circles to doctrinal innovation for waging sub-conventional warfare in India's democratic political context. At best, the Army continues to view counter-insurgency duty as secondary to its primary duty of defending India from external conventional threats. By conceptualizing a counter-insurgency strategy of ‘trust and nurture’, this article aims to fill this critical doctrinal gap in India's military policy. The author argues that a counter-insurgency strategy of ‘trust and nurture’ based on democratic political culture, measured military methods, special counter-insurgency forces, local social and cultural awareness and an integrative nation-building approach will result in positive handling of India's internal security problems. The author utilizes India's counter-insurgency experiences in Assam, Mizoram, Nagaland, Punjab, and Operation ‘Sadhbhavana’ in Jammu and Kashmir as illustrative empirical indicants in order to validate the ‘trust and nurture’ strategy.     

内编队地球重力场测量性能数值分析

内编队系统通过实现内卫星纯引力轨道环境和内卫星精密定轨,完成高精度地球重力场测量,实现了不依赖于加速度计的重力卫星实施新途径。针对内编队重力场测量性能难以解析分析的情况,基于MATLAB并行程序设计进行了重力场测量数值模拟,获得了内编队重力场测量的有效阶数及其精度。在内编队轨道高度为300km、内卫星干扰力为1.0×10-10m/s2、外卫星定轨精度为3cm、内外卫星相对状态测量精度为1mm的条件下,计算得到内编队测量重力场的有效阶数为72,相应的大地水准面累积误差为44cm,重力异常累积误差为4.5mGal,由此可知内编队测量重力场的有效阶数主要分布在低阶部分。     

基于组合赋权雷达图实现电网电能质量综合评估

将改进的组合赋权雷达图方法用于电网电能质量综合评估。对主观、客观赋权法组合,基于组合权重与原权重之间的偏差尽可能小的优化思想,求取雷达图中各项指标的组合权值。利用各指标对应的扇形区域的对角线作为指标轴绘制雷达图,不仅最大限度体现各指标的独立权重,也反映了各指标之间的相互影响。利用雷达图的面积和周长两个变量完成对电能质量的综合评估。最后通过应用实例,验证了论文方法的合理性和在电能质量综合评估中的有效性。     

基于联合相似测度的SAR图像边缘点特征配准方法

针对SAR图像配准过程中几何变换影响特征匹配稳健性和适应性的问题,提出了一种在特征匹配过程中直接解算几何变换模型的边缘点特征配准方法。利用SAR图像边缘点的梯度和方向特征,基于像素迁移思想,定义了图像匹配的联合相似度——联合特征均方和(SSJF),并建立了SAR图像边缘点集相似性匹配准则;基于方向模板提出了改进的ROEWA算子;利用改进的遗传算法(GA)来进行相似度的全局优化搜索,获取配准模型参数;利用多幅SAR图像的配准试验,对本文方法的性能进行了验证。     

Why did Sudan Lose a small war in Southern Sudan?

ABSTRACT

When on the wrong end of an asymmetry in the projection of hard power, weaker sides countenance the grim arithmetic of avoiding direct and massed confrontations. Invariably, insurgents have over the ages tended to employ indirect tactical methods to render their stronger opponents ineffective. Ultimately – interest asymmetry, regime type, asymmetries of strategy, and external intervention – combine in a complex interplay and pattern, to militate against a strong side. In Sudan, these factors interacted throughout the civil wars to produce regional autonomy and finally an independent South Sudan in 2011. Similar strategic logic had confronted many large African states battling insurgencies in Ethiopia, Angola, Nigeria, Zaire, and apartheid-era South Africa. Oftentimes, weakening public resolve has caused these governments to accommodate, capitulate or withdraw even if they try not to blink. Notwithstanding the regime type, it can be concluded that the majority of strong actors are prone to fail in a protracted, asymmetric conflict. Hence, the notion of linking victory in counterinsurgency to the degree of openness (democratic polyarchies); or closeness (totalitarianism) – is still valid but highly contestable in the case of Africa’s large dysfunctional states.     

基于不完全信息演化博弈模型的网络舆情传播羊群行为

以网络舆情传播过程中大部分人对事实不了解为前提,在这部分群体内构建基于不完全信息环境的两人对称演化博弈模型。提出了两人对称博弈矩阵来决定个体策略的选择,建立了复制动态方程说明不同策略群体比例的演化方向,演化时引入个体的记忆长度,根据设定的交互规则更新各自的观点值及记忆列表。仿真分析模型表明,在此环境中很容易产生羊群行为,群体内的个体都选择盲从并且观点保持一致。此外,羊群行为的集聚产生受多种因素影响,主要与采取分析策略的交互利益、成本系数以及记忆长度有关。本文对科学分析引导网络舆情的传播有一定实际意义。     

刍议抛锚式教学策略在教育学课程教学中的应用

抛锚式教学把学生设于真实的情境中,让学生达到认知冲突,让学生自己去分析问题、学习解决该问题所需的知识,逐步地解决问题。作为教师职前教育的一门重要的基础课程教育学,其教学效果一直不尽如人意。而抛锚式教学法为教育学的教学模式改啦提供了一种新的思路。     

混合不确定条件下的飞行器级间分离可靠性分析

为量化飞行器级间分离过程随机不确定性和认知不确定性的综合影响,结合概率和区间理论混合模型特点,提出了一种基于随机和区间理论混合模型的飞行器级间分离可靠性分析方法。面向高超声速飞行器分离任务需求,建立分离动力学仿真模型,针对级间分离结构的几何特点,设计了一种快速碰撞检测方法,进而构建了分离任务的可靠性分析混合模型。通 过将该模型转化为随机可靠性分析的无约束优化问题,考虑分离过程中复杂外力及力矩导致功能函数高度非线性的特点,利用高效全局优化和主动学习Kriging方法实现无约束优化问题高效求解。结合实例表明,该方法能够准确描述混合不确定性因素对飞行器分离过程的影响,给出了飞行器分离任务可靠性区间,可为飞行器分离方案的精细化设计提供决策支持。     

Market entry strategy in the presence of market spillovers and efficiency differentiation

Firms form various alliances or use brand extensions to enter new markets in order to improve their operational efficiency and create a positive spillover. However, they do not always know the implications of these strategies for market entry and multimarket competition because the sale of products in one market can have negative spillover effects on product sales in other markets. We present an analytical framework to examine whether and how (i.e., by choosing alliance entry or independent entry) competing firms should enter a market in a situation where market spillovers occur when a firm enters a spillover-producing market to sell products that may increase or decrease the consumers' willingness to pay for products in the primary market. Our analysis shows that the operational efficiency (or quality differentiation ability) of firms in a spillover-producing market varies, and hence, the impact of market spillovers differs for firms. We identify the key factors, such as bargaining power, brand value difference in the primary market, and the extent of efficiencies and spillovers, that determine the firms benefitting from the different entry strategies. Specifically, we show that firms would be more willing to choose an alliance strategy to enter a spillover-producing market if the negative spillover is small and alliance efficiency is high. In contrast, if an alliance entry is not favored, the firms' relative operational efficiency is crucial for them to decide whether to enter the market independently under moderate spillover conditions. Finally, we show the implications of market entry strategies for managers.     

Strategy selection: an info-gap methodology

The evaluation and selection of military strategy requires consideration of myriad factors – social, historical, political, geographical and technological – together with vast uncertainties encompassing all these domains. Info-gap decision theory is a conceptual framework that can support these deliberations and that has substantive implications for the formulation, evaluation and selection of strategic goals and of the means to attain them. In particular, while the analyst may desire to reliably achieve the best possible outcome, info-gap theory provides a critique of, and alternative to, the paradigm of optimizing the outcome of a decision. In selecting between strategy alternatives, the analyst must sometimes choose between one alternative that is purportedly better than another, but also more uncertain. Such a choice is a dilemma whose resolution requires the analyst to balance between the different predicted qualities of each alternative and their different vulnerabilities to uncertainty. The dilemma can be managed with the info-gap methodology of robustly satisfying critical requirements.