We introduce new methods for the automatic vulnerability analysis of power grids under false data injection attacks against nonlinear (AC) state estimation. We encode the analysis problems as logical decision problems...
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ISBN:
(纸本)9781479978878
We introduce new methods for the automatic vulnerability analysis of power grids under false data injection attacks against nonlinear (AC) state estimation. We encode the analysis problems as logical decision problems that can be solved automatically by SMT solvers. To do so, we propose an analysis technique named "symbolic propagation," which is inspired by symbolic execution methods for finding bugs and exploits in software programs. We show that the proposed methods can successfully analyze vulnerability of AC state estimation in realistic power grid models. Our approach is generalizable towards many other applications such as power flow analysis and state estimation.
We show that for any odd k and any instance = of the Max-kXOR constraint satisfaction problem, there is an efficient algorithm that finds an assignment satisfying at least a 1/2 +Ω (1/√ D) fraction of ß's c...
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In this study, we would like to find out the simplest way to achieve the lowest wafer bow in the GaN HEMT on 200mm Si wafer. The simplest refit that we found involved using 12 sapphire blocks distributed around the pe...
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In this study, we would like to find out the simplest way to achieve the lowest wafer bow in the GaN HEMT on 200mm Si wafer. The simplest refit that we found involved using 12 sapphire blocks distributed around the periphery of the flat susceptor. The final wafer bow can reach around 22um for the GaN HEMT on 1mm thick 200mm Si wafer. The sheet resistance of the sample with the sapphire blocks will measure 34% lower than the sample without the sapphire blocks.
We present fundamental progress on the computational universality of swarms of micro- or nano-scale robots in complex environments, controlled not by individual navigation, but by a uniform global, external force. Con...
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ISBN:
(纸本)9781479969241
We present fundamental progress on the computational universality of swarms of micro- or nano-scale robots in complex environments, controlled not by individual navigation, but by a uniform global, external force. Consider a 2D grid world, in which all obstacles and robots are unit squares, and for each actuation, robots move maximally until they collide with an obstacle or another robot. In previous work, we demonstrated components of particle computation in this world, designing obstacle configurations that implement AND and OR logic gates: by using dual-rail logic, we designed NOT, NOR, NAND, XOR, XNOR logic gates. However, we were unable to design a FAN-OUT gate, which is necessary for simulating the full range of complex interactions that are present in arbitrary digital circuits. In this work we resolve this problem by proving unit-sized robots cannot generate a FAN-OUT gate. On the positive side, we resolve the missing component with the help of 2×1 robots, which can create fan-out gates that produce multiple copies of the inputs. Using these gates we are able to establish the full range of computational universality as presented by complex digital circuits. As an example we connect our logic elements to produce a 3-bit counter. We also demonstrate how to implement a data storage element.
Artificial tactile sensing is still underdeveloped, especially in sensing shear and slip on a contact surface. For a robot hand to manually explore the environment or perform a manipulation task such as grasping, sens...
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Artificial tactile sensing is still underdeveloped, especially in sensing shear and slip on a contact surface. For a robot hand to manually explore the environment or perform a manipulation task such as grasping, sensing of shear forces and detecting incipient slip is important. In this paper, we introduce a method of sensing the normal, shear and torsional load on the contact surface with a GelSight tactile sensor [1]. In addition, we demonstrate the detection of incipient slip. The method consists of inferring the state of the contact interface based on analysis of the sequence of images of GelSights elastomer medium, whose deformation under the external load indicates the conditions of contact. Results with a robot gripper like experimental setup show that the method is effective in detecting interactions with an object during stable grasp as well as at incipient slip. The method is also applicable to other optical based tactile sensors.
We consider the problem of learning an Ising model for the purpose of subsequently performing inference from partial observations. This is in contrast to most other work on graphical model learning, which tries to lea...
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ISBN:
(纸本)9781509018253
We consider the problem of learning an Ising model for the purpose of subsequently performing inference from partial observations. This is in contrast to most other work on graphical model learning, which tries to learn the true underlying graph. This objective requires a lower bound on the strength of edges for identifiability of the model. We show that in the relatively simple case of tree models, the Chow-Liu algorithm learns a distribution with accurate low-order marginals despite the model possibly being non-identifiable. In other words, a model that appears rather different from the truth nevertheless allows to carry out inference accurately.
Detection of circulating tumor cells (CTCs) from cancer patients' blood provides a convenient method for early-stage cancer diagnosis and to monitor disease progression. Many studies have confirmed that tumor cons...
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Procedural sedation has allowed many painful interventions to be conducted outside the operating room. During such procedures, it is important to maintain an appropriate level of sedation to minimize the risk of respi...
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ISBN:
(纸本)9781424492695
Procedural sedation has allowed many painful interventions to be conducted outside the operating room. During such procedures, it is important to maintain an appropriate level of sedation to minimize the risk of respiratory depression if patients are over-sedated and added pain or anxiety if under-sedated. However, there is currently no objective way to measure the patient's evolving level of sedation during a procedure. We investigated the use of capnography-derived features as an objective measure of sedation level. Time-based capnograms were recorded from 30 patients during sedation for cardioversion. Through causal k-means clustering of selected features, we sequentially assigned each exhalation to one of three distinct clusters, or states. Transitions between these states correlated to events during sedation (drug administration, procedure start and end, and clinical interventions). Similar clustering of capnogram recordings from 26 healthy, non-sedated subjects did not reveal distinctly separated states.
We investigate the efficient generation of low-divergence high-order harmonics driven by waveform-optimized laser pulses in a gas-filled hollow waveguide. The drive waveform is obtained by synthesizing two-color laser...
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We investigate the efficient generation of low-divergence high-order harmonics driven by waveform-optimized laser pulses in a gas-filled hollow waveguide. The drive waveform is obtained by synthesizing two-color laser pulses, optimized such that highest harmonic yields are emitted from each atom. Optimization of the gas pressure and waveguide configuration has enabled us to produce bright and spatially coherent harmonics extending from the extreme ultraviolet to soft x rays. Our study on the interplay among waveguide mode, atomic dispersion, and plasma effect uncovers how dynamic phase matching is accomplished and how an optimized waveform is maintained when optimal waveguide parameters (radius and length) and gas pressure are identified. Our analysis should help laboratory development in the generation of high-flux bright coherent soft x rays as tabletop light sources for applications.
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