基于FrameNet框架关系的文本蕴含识别

文本蕴含识别是处理自然语言中广泛存在的同义异形现象的一种有效途径。该文基于FrameNet中框架及框架之间的八种关系,结合WordNet中词汇间的语义关系,提出了一种文本蕴含识别方法。在给定文本T和假设H中词元激起的框架基础上,该方法利用深度优先搜索,在FrameNet框架关系图中,查询T和H中框架之间的上下位关系;再使用WordNet中语义关系比较二者的框架元素是否一致或相似。实验对RTE2007中50个文本对进行了测试,达到了76.6%的准确率,略高于RTE2007评测的最优结果。

Framenet核心框架元素间关系研究

本文首先阐述了框架元素的类型:核心框架元素、外围框架元素和额外主题框架元素,然后再详细论述了Framenet中3种典型的核心框架元素关系:核心集关系、必要关系和排斥关系,并总结出继承关系的框架间核心框架元素关系的变化规律。

Vibration analysis of maglev three-span rigid frame bridge considering magnetic force

The dynamic interaction between the maglev vehicle and the three-span rigid frame bridge is discussed. With the consideration of magnetic force, the interaction model is developed. Numerical simulations are performed to study the dynamic characteristics of the bridge during vehicle movement along the bridge. The results show that a reasonable value of the linear stiffness ratio of columns to beams is between 2. 0 and 3.0. The dynamic responses of the bridge are aggravated with the decrease in bending rigidity and the increase in vehicle speed and the span ratio of the bridge. It is suggested that a definite way is to control impact coefficients and acceleration in the dynamic design of the bridge. It is unsuitable to adopt the moving load model and the moving mass model in the design. The proposed results can serve in the design of high-speed maglev three-span rigid frame bridges.

链接请求的运行机制及其对.NET Framework分布式系统安全性的影响

.NET安全体系是采用全新的模式建立的,更多地考虑了基于.NET的应用系统在安全性和执行效率上的统一,它提出了基于Web的分布式应用系统在安全核心技术上新的设计思想。影响.NETFramework应用系统安全性的因素有很多,其中由链接请求引起的影响系统安全性的潜在错误相当多。本文分析了链接请求可能带来的系统安全性隐患,并就此提出了一些建议。

基于FrameNet的英汉词汇语义对比模式探索——以英汉情感框架词汇语义对比研究为例

框架网络(FrameNet)是以框架语义学理论和语料库为基础的在线词汇知识库,以数据库的形式展示英语词汇概念框架。以此理论为基础进行英汉词汇语义对比研究,有利于全面揭示两种语言的词汇语义共性和差异。本文在英语FrameNet和中国学者建立的汉语框架网络知识库(CFN)的基础上,探索英汉词汇对比的方式和程序,构建词汇语义对比模式,并以英汉情感框架词汇语义对比研究为例,对该模式进行应用性尝试。

浅谈FrameNet框架汉译时的译者术语意识

汉语框架网的建设需要参照FrameNet,因而FrameNet框架汉译是其中必要的一步。由于FrameNet框架会涉及众多"概念名称",所以在FrameNet框架汉译时,译者术语意识通过提供一定程度上的理论指导来加强控制汉语框架网的框架质量。

基于轻量级MobileNet-SSD模型的人流量检测

利用深度神经网络模型识别行人目标并检测具有十分高的价值。现实高密度行人检测场景中由于硬件基础以及网络性能消耗等问题的影响,常常需要选取处理速度高、硬件条件要求低的网络且同时兼顾视频监控的连续特性,因此选取了轻量级MobileNet-SSD网络来高效处理人头目标并引入帧间差分的方式,来有效对人头的椭圆特征目标进行跟踪;结合相关数理方法实现行人跨线计数的高性能人流量检测解决方案。在不同数据集上同现今一流的检测模型作比较,该方法皆表现出优良的检测性能。

Effects of material of metallic frame on the penetration resistances of ceramic-metal hybrid structures

The effects of metallic material on the penetration resistances of ceramic-metal hybrid structures against vertical long-rod tungsten projectiles were studied by artillery-launched experiments and numerical simulation.Hybrid structures with rectangular cores in transverse orthogonal arrangement and slidefitting ceramic inserts of zirconia toughened alumina prisms were fabricated with titanium alloy TC4(Ti6 Al4 V),AISI 4340 steel and 7075 aluminum alloy panels,respectively.The results showed that the hybrid structure of Ti6A14V exhibited the highest penetration resistance,followed by that of 7075 aluminum alloy with the same area density.The penetration resistance of the hybrid structure of AISI4340 steel was the lowest.The underlying mechanisms showed that the metallic material of a ceramicmetal hybrid structure can directly affect its energy absorption from the impact projectile,which further affects its penetration resistance.Different metallic frames exhibited different failure characteristics,resulting in different constraint conditions or support conditions for ceramic prisms.The high penetration resistance of the Ti6Al4V hybrid structure was due to its stronger back support to ceramic prisms as compared with that of AISI 4340 steel hybrid structure,and better constraint condition for ceramic prisms by metallic webs as compared with that of 7075 aluminum alloy hybrid structure.The results of mass efficiency and thickness efficiency showed that the Ti6Al4V hybrid structure has advantages in reducing both the thickness and the mass of protective structure.In addition,because the ceramic-metal hybrid structures in the present work were heterogeneous,impact position has slight influence on their penetration resistances.

EEFA： Energy Efficiency Frame Aggregation Scheduling Algorithm for IEEE 802.11n Wireless Network

Packet size is restricted due to the error-prone wireless channel which drops the network energy utilization. Furthermore, the frequent packet retransmissions also lead to energy waste. In order to improve the energy efficiency of wireless networks and save the energy of wireless devices, EEFA （Energy Efficiency Frame Aggregation）, a frame aggregation based energy-efficient scheduling algorithm for IEEE 802.11n wireless network, is proposed. EEFA changes the size of aggregated frame dynamically according to the frame error rate, so as to ensure the data transmission and retransmissions completed during the TXOP and reduce energy consumption of channel contention. NS2 simulation results show that EEFA algorithm achieves better performance than the original frame-aggregation algorithm.

Regularization by Multiple Dual Frames for Compressed Sensing Magnetic Resonance Imaging With Convergence Analysis

Plug-and-play priors are popular for solving illposed imaging inverse problems. Recent efforts indicate that the convergence guarantee of the imaging algorithms using plug-andplay priors relies on the assumption of bounded denoisers. However, the bounded properties of existing plugged Gaussian denoisers have not been proven explicitly. To bridge this gap, we detail a novel provable bounded denoiser termed as BMDual,which combines a trainable denoiser using dual tight frames and the well-known block-matching and 3D filtering(BM3D)denoiser. We incorporate multiple dual frames utilized by BMDual into a novel regularization model induced by a solver. The proposed regularization model is utilized for compressed sensing magnetic resonance imaging(CSMRI). We theoretically show the bound of the BMDual denoiser, the bounded gradient of the CSMRI data-fidelity function, and further demonstrate that the proposed CSMRI algorithm converges. Experimental results also demonstrate that the proposed algorithm has a good convergence behavior, and show the effectiveness of the proposed algorithm.

Dynamic interactive bitwise meta-holography with ultra-high computational and display frame rates

Interactive holography offers unmatched levels of immersion and user engagement in the field of future display.Despite of the substantial progress has been made in dynamic meta-holography,the realization of real-time,highly smooth interactive holography remains a significant challenge due to the computational and display frame rate limitations.In this study,we introduced a dynamic interactive bitwise meta-holography with ultra-high computational and display frame rates.To our knowledge,this is the first reported practical dynamic interactive metasurface holographic system.We spa-tially divided the metasurface device into multiple distinct channels,each projecting a reconstructed sub-pattern.The switching states of these channels were mapped to bitwise operations on a set of bit values,which avoids complex holo-gram computations,enabling an ultra-high computational frame rate.Our approach achieves a computational frame rate of 800 kHz and a display frame rate of 23 kHz on a low-power Raspberry Pi computational platform.According to this methodology,we demonstrated an interactive dynamic holographic Tetris game system that allows interactive gameplay,color display,and on-the-fly hologram creation.Our technology presents an inspiration for advanced dynamic meta-holography,which is promising for a broad range of applications including advanced human-computer interaction,real-time 3D visualization,and next-generation virtual and augmented reality systems.

Stationary-frame current control strategy for transverse flux permanent-magnet machine

A new stationary-frame AC current control strategy that can eliminate steady-state errors is discussed and applied to the control of transverse flux permanent-magnet machine （TFPM）. Based on the principle of modulation and demodulation, this AC controller can achieve the same frequency response characteristic as the equivalent DC controller. Validity of the TFPM control system using this current control strategy is confirmed with simulation results.

Compression of Characteristics of Trajectories in Rotating Frames vs. Nonuniform Magnetic Fields

The equation of motion of an object moving in a frictionless horizontal rotating frame is somewhat comparable to the one describing the motion of a point-like charged particle projected in a magnetic field. We show that the impact of angular velocity in the former is equivalent to the impact of the magnetic field in the latter. We consider scenarios conducive to comparable trajectories for these two distinct areas of physics. We extend the analysis considering two separate routes. For the rotating frame we investigate the impact of friction and for the magnetic field the effect of field in-homogeneities. We utilize Mathematica [1] throughout, most notably for solving coupled partial differential equations.

Optimization of Convolutional Neural Network for Recognition of Vehicle Frame Number

With the development of the economy and the surge in car ownership, the sale of used cars has been welcomed by more and more people, and the information of the vehicle condition is the focus information of them. The frame number is a unique number used in the vehicle, and by identifying it can quickly find out the vehicle models and manufacturers. The traditional character recognition method has the problem of complex feature extraction, and the convolutional neural network has unique advantages in processing two-dimensional images. This paper analyzed the key techniques of convolutional neural networks compared with traditional neural networks, and proposed improved methods for key technologies, thus increasing the recognition of characters and applying them to the recognition of frame number characters.

Cascaded ELM-Based Joint Frame Synchronization and Channel Estimation over Rician Fading Channel with Hardware Imperfections

Due to the interdependency of frame synchronization(FS)and channel estimation(CE),joint FS and CE(JFSCE)schemes are proposed to enhance their functionalities and therefore boost the overall performance of wireless communication systems.Although traditional JFSCE schemes alleviate the influence between FS and CE,they show deficiencies in dealing with hardware imperfection(HI)and deterministic line-of-sight(LOS)path.To tackle this challenge,we proposed a cascaded ELM-based JFSCE to alleviate the influence of HI in the scenario of the Rician fading channel.Specifically,the conventional JFSCE method is first employed to extract the initial features,and thus forms the non-Neural Network(NN)solutions for FS and CE,respectively.Then,the ELMbased networks,named FS-NET and CE-NET,are cascaded to capture the NN solutions of FS and CE.Simulation and analysis results show that,compared with the conventional JFSCE methods,the proposed cascaded ELM-based JFSCE significantly reduces the error probability of FS and the normalized mean square error(NMSE)of CE,even against the impacts of parameter variations.

Frame Dragging Effect on Properties of Rotating Neutron Stars with Strong Magnetic Field

The general relativistic frame dragging effect on the properties,such as the moments of inertia and the radiiof gyration of fast rotating neutron stars with a uniform strong magnetic field,is calculated accurate to the first orderin the uniform angular velocity.The results show that compared with the corresponding non-rotating static sphericalsymmetric neutron star with a weaker magnetic field,a fast rotating neutron star(millisecond pulsar)with a strongermagnetic field has a relative smaller moment of inertia and radius of gyration.

基于卷积神经网络的FrameNet框架消歧研究

针对当前FrameNet框架下的词义消歧准确率较低的问题,采用卷积神经网络应用于FrameNet框架进行框架消歧研究.该模型依托依存句法分析树排序选出待消歧词的6个邻接单词节点,并选择单词词义、父节点词义、单词词性、单词依存分析类型作为消歧特征,使用Softmax函数作为全连接层分类器,通过输出待消歧词可激活的各框架概率选出概率值最高的作为激活框架,从而判定待消歧词词义.实验结果表明,该模型在FrameNet框架的消歧准确率较高于条件随机场等其他普遍算法,各目标词的准确率较为稳定,通过该模型切实提升了FrameNet框架消歧的准确率.

Survey and Analysis of VoIP Frame Aggregation Methods over A-MSDU IEEE 802.11n Wireless Networks

The IEEE 802.11n standard has provided prominent features that greatly contribute to ubiquitous wireless networks.Over the last ten years,voice over IP(VoIP)has become widespread around the globe owing to its low-cost or even free call rate.The combination of these technologies(VoIP and wireless)has become desirable and inevitable for organizations.However,VoIP faces a bandwidth utilization issue when working with 802.11 wireless networks.The bandwidth utilization is inefficient on the grounds that(i)80 bytes of 802.11/RTP/UDP/IP header is appended to 10–730 bytes of VoIP payload and(ii)765μs waiting intervals follow each 802.11 VoIP frame.Without considering the quality requirements of a VoIP call,be including frame aggregation in the IEEE 802.11n standard has been suggested as a solution for the bandwidth utilization issue.Consequently,several aggregation methods have been proposed to handle the quality requirements of VoIP calls when carried over an IEEE 802.11n wireless network.In this survey,we analyze the existing aggregation methods of VoIP over the A-MSDU IEEE 802.11n wireless standard.The survey provides researchers with a detailed analysis of the bandwidth utilization issue concerning the A-MSDU 802.11n standard,discussion of the main approaches of frame aggregation methods and existing aggregation methods,elaboration of the impact of frame aggregation methods on network performance and VoIP call quality,and suggestion of new areas to be investigated in conjunction with frame aggregation.The survey contributes by offering guidelines to design an appropriate,reliable,and robust aggregation method of VoIP over 802.11n standard.

The Continuum of Grief. From Scandinavian Mythology to Zen Buddhism： Janet Frame＇s Intertextual Strategies in Snowman, Snowman

In the wake of Richards Benton＇s ＂Keats and Zen＂ （published in Philosophy East and West （1966））, this paper sets out to examine Janet Frame＇s appropriation of Buddhist philosophy in Snowman, Snowman （1962）. The novella＇s allusions to a Buddhist-like epistemology, together with its subtle references to Scandinavian myths, however, have so far remained uncovered and are therefore best approached in the light of what has been called ＂the suppressed intertextuality in post-colonial writing＂. The author＇s intention in this paper is twofold： On the one hand, the author will suggest that post-colonial writers do not necessarily write against the Western canon and that maintaining the contrary amounts to vindicating the centrality of imperial texts in the contemporary literary scene--an endeavour which is hardly post-colonial. On the other hand, the author will go some way towards shifting eastward the core of Frame＇s ontology by suggesting that her poetics is anchored not only in Western thinking, but also, perhaps more importantly so, in Eastern philosophy. The author＇s primary impulse, however, in examining the interplay between canonical and peripheral intertextualities, is to illuminate in fundamental fashion the haunting beauty of the writer＇s universe and the lyricism of Snowman, Snowman.

Enhancements of Genetic Algorithm for Minimum Cost Design of Steel Frames Considering Fabrication Cost

A discrete optimization problem for minimizing the sum of fabrication cost and steel material cost of sf^el frames under constraints based on Japanese seismic code is set up. Enhancements of the genetic algorithm for the above-mentioned problem are proposed, which are combined with a 1D （one-dimensional） search or a 2D （two-dimensional） search. After the proposed methods are described, they are applied to a five-story frame. A comparison with an exact solution obtained by a revised enumeration algorithm demonstrates the effectiveness of the proposed methods.