Wargaming-Based Crisis Drills

Crisis drills should be held periodically in order to find problems of crisis plans, other than to run into problems during a real crisis. Wargaming is an efficient way for crisis drill with low cost and in a convenient manner. For government authorities, they can make deep research into the crisis management by designing a crisis drill wargame, and they can make proper crisis plans by playing the wargame. For the related duty departments or person, they can practice or adopt the examination of their workflow and professional ability by playing the wargame. The system features and elements of wargaming are introduced firstly, and then the form and process of wargaming-based crisis drill are explained. Also, the evaluation methods and decision models are proposed. At last, a wargame replay is analyzed to show the benefits of wargaming evaluation

Research progress on anterior segment optical coherence tomography in glaucoma

Glaucoma is the second blindness disease in the world, and there are more primary angle closed glaucoma in China. The anatomy changes of the anterior chamber have close relationships with the development of glaucoma. Anterior segment optical coherence tomography(AS-OCT)has the advantages of fast, non-contact, high resolution and accurate quantitative measurement, which provides a kind of important method for finding the pathogenesis of primary angle closed glaucoma, for early diagnosis and treatment of glaucoma, and for the postoperative evaluation of glaucoma

1-(3,4-Dihydroxy­phen­yl)-2-(4-fluoro­phen­yl)ethanone

In the title compound, C14H11FO3, the dihedral angle between the aromatic rings is 69.11 (8)°. An intra­molecular O—H⋯O hydrogen bond is present. Inter­molecular O—H⋯O inter­actions help to establish the packing

MAT: A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks

Some recent works revealed that deep neural networks (DNNs) are vulnerable to so-called adversarial attacks where input examples are intentionally perturbed to fool DNNs. In this work, we revisit the DNN training process that includes adversarial examples into the training dataset so as to improve DNN's resilience to adversarial attacks, namely, adversarial training. Our experiments show that different adversarial strengths, i.e., perturbation levels of adversarial examples, have different working zones to resist the attack. Based on the observation, we propose a multi-strength adversarial training method (MAT) that combines the adversarial training examples with different adversarial strengths to defend adversarial attacks. Two training structures - mixed MAT and parallel MAT - are developed to facilitate the tradeoffs between training time and memory occupation. Our results show that MAT can substantially minimize the accuracy degradation of deep learning systems to adversarial attacks on MNIST, CIFAR-10, CIFAR-100, and SVHN.Comment: 6 pages, 4 figures, 2 table

Preconditioned WR–LMF-based method for ODE systems

AbstractThe waveform relaxation (WR) method was developed as an iterative method for solving large systems of ordinary differential equations (ODEs). In each WR iteration, we are required to solve a system of ODEs. We then introduce the boundary value method (BVM) which is a relatively new method based on the linear multistep formulae to solve ODEs. In particular, we apply the generalized minimal residual method with the Strang-type block-circulant preconditioner for solving linear systems arising from the application of BVMs to each WR iteration. It is demonstrated that these techniques are very effective in speeding up the convergence rate of the resulting iterative processes. Numerical experiments are presented to illustrate the effectiveness of our methods

Phase diagram of holographic thermal dense QCD matter with rotation

We study the rotation effects of the hot and dense QCD matter in a non-perturbative regime by the gauge/gravity duality. We use the gravitational model that is designated to match the state-of-the-art lattice data on the thermal properties of (2+1)-flavor QCD and predict the location of the critical endpoint and the first-order phase transition line at large baryon chemical potential without rotation. After introducing the angular velocity via a local Lorentz boost, we investigate the thermodynamic quantities for the system under rotation in a self-consistent way. We find that the critical temperature and baryon chemical potential associated with the QCD phase transition decrease as the angular velocity increases. Moreover, some interesting phenomena are observed near the critical endpoint. We then construct the 3-dimensional phase diagram of the QCD matter in terms of temperature, baryon chemical potential, and angular velocity. As a parallel investigation, we also consider the gravitational model of $SU(3)$ pure gluon system, for which the 2-dimensional phase diagram associated with temperature and angular velocity has been predicted. The corresponding thermodynamic quantities with rotation are investigated.Comment: 22 pages, 24 figure