冲压加速机理数值研究

建立了求解二维 Euler方程和 Navier-Stokes方程的 TVD有限体积格式 ,对口径为 38mm冲压加速器内弹丸周围的无粘流场和层流流场进行数值研究 ,模拟了冲压加速器内复杂的激波系 ,分析了冲压加速器内激波加热点火机理和弹丸速度的影响 .     

实时虚拟舞台系统灯光效果的实现

在舞台排练系统中,经常有上百盏不同式样的灯同时照亮场景的情况发生,但是目前图形处理器硬件只支持8盏灯同时点亮,而且大多数渲染引擎只提供点光源、聚光源和方向光源三种灯光模型.为了实时模拟真实的效果,使用了一个称为超级椭圆的光源模型,它可以把各种不同形状的灯的式样预先计算出并保存在纹理贴图中,这样后期计算光强度时只要从纹理中获得即可.此外,还提出如何进行光照优化,减少不必要计算,使所有灯都能发挥作用的方法.通过测试,系统达到了令人满意的实时帧数和效果.     

点型红外可燃气体探测技术

介绍一种较新的可燃气体探测技术——点型红外可燃气体探测技术,概述了其工作原理(基于气体的光谱本征吸收原理,利用可燃气体吸收特定波段的红外光,通过传感器件接收红外光光通量的物理变化来实现对可燃气体的探测),分析了探测器具体构成(由气体检测单元和信号处理电路单元两部分组成),并给出具体硬件(电源电路、信号放大电路、输出接口电路)设计思路和软件标定算法。     

Acoustic emission characterization of steel in H2S solution subjected to tensile load

Abstract

This paper investigates the characteristics of acoustic emission (AE) signals generated from hydrogen induced cracking (HIC) and sulfide stress corrosion cracking (SSCC) for a medium strength steel in hydrogen sulfide (H₂S) solution. The experiments performed in this study include the constant load test (CLT) and the constant extension rate test (CERT).

From the results of the CLT, the AE count rate caused by SSCC was found to be much higher than that resulted from the HIC; and the increase of the AE count rate was observed to be approximately proportional to the increase of the applied loading. In addition, the AE frequency distribution diagrams obtained from these tests were found to contain potential information for distinguishing the mechanisms of HIC and SSCC. From the results of CERT, the AE signals detected from the specimens tested in the H₂S solution were compared with those obtained from the specimens tested in the air. In addition, the AE count rate detected from the tensile specimens was studied according to the different deformation stages of the specimens. From this study, the variation of the AE count rate in each deformation stage was described.     

Zero-Knowledge Argument for Simultaneous Discrete Logarithms

In Crypto 1992, Chaum and Pedersen introduced a protocol (CP protocol for short) for proving the equality of two discrete logarithms (EQDL) with unconditional soundness, which is widely used nowadays and plays a central role in DL-based cryptography. Somewhat surprisingly, the CP protocol has never been improved for nearly two decades since its advent. We note that the CP protocol is usually used as a non-interactive proof by using the Fiat-Shamir heuristic, which inevitably relies on the random oracle model (ROM) and assumes that the adversary is computationally bounded. In this paper, we present an EQDL protocol in the ROM which saves approximately 40% of the computational cost and approximately 33% of the prover??s outgoing message size when instantiated with the same security parameter. The catch is that our security guarantee only holds for computationally bounded adversaries. Our idea can be naturally extended for simultaneously showing the equality of n discrete logarithms with O(1)-size commitment, in contrast to the n-element adaption of the CP protocol which requires O(n)-size. This improvement benefits a variety of interesting cryptosystems, ranging from signatures and anonymous credential systems, to verifiable secret sharing and threshold cryptosystems. As an example, we present a signature scheme that only takes one (offline) exponentiation to sign, without utilizing pairing, relying on the standard decisional Diffie-Hellman assumption.     

自动无源滤波装置在电力系统客户中的应用

电力用户中大量使用的变频器、高频加热设备等非线性负荷一般对无功需求容量大,功率因数低,谐波含量大。以上海通用轴承有限公司节能改造为例,介绍了对该类电力用户应用自动无源滤波装置在节能降耗方面所起的积极作用。     

Myocardial infarction classification with multi-lead ECG using hidden Markov models and Gaussian mixture models

This study presented a new diagnosis system for myocardial infarction classification by converting multi-lead ECG data into a density model for increasing accuracy and flexibility of diseases detection. In contrast to the traditional approaches, a hybrid system with HMMs and GMMs was employed for data classification. A hybrid approach using multi-leads, i.e., lead-V1, V2, V3 and V4 for myocardial infarction were developed and HMMs were used not only to find the ECG segmentations but also to calculate the log-likelihood value which was treated as statistical feature data of each heartbeat's ECG complex. The 4-dimension feature vector extracted by HMMs was clustered by GMMs with different numbers of distribution (disease and normal data). SVMs classifier was also examined for comparison with our system in experimental result. There were total 1129 samples of heartbeats from clinical data, including 582 data with myocardial infarction and 547 normal data. The sensitivity of this diagnosis system achieved 85.71%, specificity achieved 79.82% and accuracy achieved 82.50% statistically.     

A computational algorithm for catalysts experiencing concentration‐dependent deactivation

Abstract

A computational algorithm is proposed for catalyst pellets or reactors experiencing concentration‐dependent deactivation. In the integration of the deactivation equation in each time interval, the concentration of poison, reactant or/and product is considered to be a constant. The value of concentration is recalculated from the mass balance equation before integrating the deactivation equation. By such an approach, the number of equations is reduced; thus a two‐dimensional problem can be converted to a single‐dimensional one.