Reading the Riot Act: Toward a More Comprehensive Ban on Chemical Weapons

ABSTRACT

The recent use of chemicals in warfare in Syria and Iraq illustrates that, despite the important work of the 1997 Chemical Weapons Convention (CWC), the world has not yet been totally successful in stopping the use of indiscriminate toxic agents in conflicts, either by states or non-state actors. Michael Crowley's excellent and timely new book, Chemical Control, analyzes the use of “riot control agents” (RCAs) and “incapacitating chemical agents” (ICAs), including launch and dispersal systems, by police, paramilitary, and military forces over the last decades and raises the challenging question about where the red line might be drawn between banned and permitted uses of chemicals. He discusses this problem not only in the context of the CWC, which allows use of RCAs for civilian riot control, but also in the context of international law, human rights, and criminal justice, including the Biological and Toxin Weapons Convention and other disarmament and abolition regimes. He proposes a “holistic, three-stage approach” to addressing this issue “for effective regulation or prohibition of the weapon or weapon-related technology of concern.” As we approach the global abolition of a whole class of weapons of mass destruction in the next decade or even sooner, Chemical Control is helpful in better understanding and solving the dilemma of what's actually banned or permitted under international law, and precluding states undermining the chemical weapons ban.     

基于多传感器信息系统的仿人机器人步态规划算法改进研究

摘要：基于视觉传感器、角度传感器和力／力矩传感器组成的多传感器信息系统,对仿人机器人理想的步态规划算法进行了改进．以双目视觉立体标定原理处理视觉传感信息,从而判断目标距离及目标路径的可达性;通过角度传感器获取实时旋转角度,经参数调整减小执行误差;根据力／;5矩传感信息对支撑脚踝关节的侧摆角度进行增量式补偿．经实验验证,改进后的算法对机器人的步态稳定性控制具有良好的效果．     

Visual-attention gabor filter based online multi-armored target tracking

The multi-armored target tracking (MATT) plays a crucial role in coordinated tracking and strike. The occlusion and insertion among targets and target scale variation is the key problems in MATT. Most state-of-the-art multi-object tracking (MOT) works adopt the tracking-by-detection strategy, which rely on compute-intensive sliding window or anchoring scheme in detection module and neglect the target scale variation in tracking module. In this work, we proposed a more efficient and effective spatial-temporal attention scheme to track multi-armored target in the ground battlefield. By simulating the structure of the retina, a novel visual-attention Gabor filter branch is proposed to enhance detection. By introducing temporal information, some online learned target-specific Convolutional Neural Networks (CNNs) are adopted to address occlusion. More importantly, we built a MOT dataset for armored targets, called Armored Target Tracking dataset (ATTD), based on which several comparable experiments with state-of-the-art methods are conducted. Experimental results show that the proposed method achieves outstanding tracking performance and meets the actual application requirements.     

BIOLOGICAL AND CHEMICAL WEAPONS ARMS CONTROL IN THE MIDDLE EAST

Nonproliferation policies to prevent biological and chemical weapons use are important, but insufficient, particularly in view of the rise of global terrorism. Given the history of developing and using these weapons, it is crucial that governments properly prepare for biological and chemical threats, whether naturally occurring or man-made, such as by developing and managing effective healthcare infrastructure to mitigate widespread illness and injuries resulting from pandemics or terrorist attacks. Although the Middle East is one of the most sensitive and complex areas in the world—especially regarding regional arms control efforts and prevention—coordinating preparedness strategies among states in the region may be possible. Cooperatively addressing biological and chemical threats could lead to constructive progress towards the otherwise elusive goal of establishing a weapons of mass destruction-free zone in the Middle East.     

同时射击时反坦克导弹视场交叉数学模型研究

反坦克导弹同时射击时测角视场交叉可能引起导弹失控,针对此问题,利用信息系统的位置地理信息,参照装备的基本性能参数,构建了配置阵地的数学模型,得出了同时射击的可行性判据,为阵地射击指挥提供了决策支持。     

喷气燃料中特征真菌Amorphotheca resinae的生物学性状研究

通过提供不同的碳源对喷气燃料中检测出的特征真菌Amorphotheca resinae(A.resinae)进行培养,观察菌落和孢子形态,研究其生物学性状;在液体培养基中对其进行振荡培养时出现了油包水现象,从而对特征真菌污染过的油、水相进行表面张力测定。研究结果表明:A.resinae在固体培养基中生长缓慢且出现角变现象;孢子直径仅约1μm;被特征真菌污染过的水相表面张力降低,推测培养A.resinae时可能产生了生物表面活性物质。     

基于CMOS的双目视觉定位系统的设计

介绍了一种基于CMOS视觉芯片的双目视觉相对定位信息提取系统。重点描述了该系统的硬件系统的组成:成像采集设备、控制器、存储器、专用DSP和外部接口电路,以及各部分的芯片选择和相应的接口设计,并提供了设计方案实例。系统具有体积小、重量轻、功耗小、集成度高、接口灵活、定位精度高等特点,可以方便地安装在各种设备,尤其是嵌入式系统上,因此可以广泛地应用到很多领域。     

对生化恐怖袭击抢险救援的思考

消防部队担负着处置生化恐怖袭击事件的抢险救援任务。在分析生化灾害及处置生化灾害的特点的基础上 ,提出提高消防部队处置生化灾害综合能力的措施。     

生化恐怖袭击及其应对策略

本文指出了生化恐怖活动发展的历史趋势、分析了大规模生化恐怖活动兴起的原因 ,并分析了恐怖分子获得生化武器的可能性 ,对于可能发生的大规模生化恐怖活动提出了的应对策略