消除弹道跟踪数据中伺服系统的振颤干扰?

通过研究伺服系统对跟踪设备的影响,分析了跟踪设备在振颤状态下工作所受的干扰。以测试结果绘图,识别出跟踪线的俯仰角速度和方位角速度,能分辨出稳定的目标信号以及周期性的干扰信号。消除振颤干扰的方法,就是剔除受干扰的目标线的角速度值,以稳定的目标角速度替代,以测距结果配合无干扰的俯仰角与方位角,解算无干扰的弹道跟踪结果。     

开关电源的电磁干扰及抑制技术

由于开关电源本身的工作原理,使得电磁干扰问题相当突出,其干扰信号经传导和辐射对电子设备、通信系统等产生电磁污染。本文介绍了电磁干扰的产生机理和传输方式：一种是传导传输方式,另一种则是辐射传输方式。本文从电磁干扰产生的机理入手,着重分析了开关电源电磁干扰产生的原因,总结了抑制电磁干扰的措施,比如滤波技术、屏蔽技术、软开关技术、扩频调制技术、PCB设计技术和接地技术等。     

Cross-task emotion recognition using eeg measures: first step towards practical application

Electroencephalographic (EEG)-based emotion recognition has received increasing attention in the field of human-computer interaction (HCI) recently, there however remains a number of challenges in building a generalized emotion recognition model, one of which includes the difficulty of an EEG-based emotion classifier trained on a specific task to handle other tasks. Little attention has been paid to this issue. The current study is to determine the feasibility of coping with this challenge using feature selection. 12 healthy volunteers were emotionally elicited when conducting picture induced and video induced tasks. Firstly, support vector machine (SVM) classifier was examined under within-task conditions (trained and tested on the same task) and cross-task conditions (trained on one task and tested on another task) for picture induced and video induced tasks. The within-task classification performed fairly well (classification accuracy: 51.6% for picture task and 94.4% for video task). Cross-task classification, however, deteriorated to low levels (around 44%). Trained and tested with the most robust feature subset selected by SVM-recursive feature elimination (RFE), the performance of cross-task classifier was significantly improved to above 68%. These results suggest that cross-task emotion recognition is feasible with proper methods and bring EEG-based emotion recognition models closer to being able to discriminate emotion states for any tasks.     

命题逻辑提升到一阶逻辑上的子句消去方法

在基于命题逻辑的可满足性问题（SAT）求解器和基于一阶逻辑的定理证明器上，子句集简化一直是必不可少的步骤，而其中子句消去方法在这些子句集简化方法中是非常重要的组成部分。将命题逻辑中的子句消去方法归结隐藏恒真消去方法（RHTE）和归结隐藏包含消去方法（RHSE）提升到一阶逻辑上，并且利用蕴含模归结原则（IMR）证明了这种提升方式在一阶逻辑上具有可靠性（Soundness），即依据这两种子句消去方法删除一阶逻辑公式集中的子句，并不会改变公式集的可满足性或者不可满足性。此外，将这两个方法与一阶逻辑子句消去方法锁子句消去方法（BCE）和归结包含消去方法（RSE）进行组合推广，发展得到一阶逻辑上新型子句消去方法（BC+RHS）E、（RS+RHT）E和（RHS+RHT）E，并且证明了这3种子句消去方法在一阶逻辑上的可靠性。最后，分析比较了这些子句消去方法的有效性，并且证明了这3种新型子句消去方法比组成它们的原始子句消去方法均具有更高的有效性。     

2-甲基1，4-萘醌激发三重态与核酸反应的电子自旋共振自旋消减法研究

应用电子自旋共振（Electron spin resonance，ESR）自旋消减法，研究了内源性光敏剂2-甲基-1，4萘醌（VK3）的激发三重态（^3VK3^＊）与核酸及其组分的反应性顺序，得到。VK3^＊与四个核苷及四个单核苷酸的反应性顺序为Gua〉Ade〉Cyt〉Thy，dGMP〉dAMP〉dCMP〉TMP。结果与早前采用激光光解瞬态吸收光谱研究^3VK3^＊氧化DNA，测得的DNA及其组分阳离子自由基生成速率常数、核苷及核苷酸的氧化还原电位排序相一致。对^3VK3^＊与几种富含鸟嘌呤（G）的寡聚核苷酸：端粒DNA重复序列、端粒酶RNA亚基模版及其L6-P6发夹序列反应的ESR自旋消减法研究结果表明，其反应性大小与寡聚物中鸟嘌呤含量正相关，其中与端粒DNA的反应性最强。     

配电网半绝缘电磁式PT加装消谐器后损坏原因分析研究

研究了铁磁谐振机理和特点,得出了铁磁谐振简化等效电路和PT承受电压计算方法,分析了半绝缘PT加装一次消谐器后的损坏原因,提出了改进措施。     

一种消除窄脉冲的三电平粒子群优化PWM方法

以应用于大功率电力机车的三电平逆变器为特定的研究对象,对优化脉宽调制(PWM)技术的求解与应用进行了分析和研究。针对优化PWM的脉冲序列在调制度较大时可能出现窄脉冲的问题,此处提出了一种简单且有效的窄脉冲消除方法。建立了三电平牵引逆变器优化PWM方法的数学模型,在应用粒子群优化(PSO)算法求解模型时,施加了窄脉冲消除算法以消除窄脉冲。通过仿真和半实物实验验证了所提出窄脉冲消除方法的有效性及PSO-PWM的谐波优化作用。     

Dead‐time elimination SVPWM of six‐leg inverter

We present a six‐leg voltage source inverter (VSI) with a single DC link to feed a three‐phase inductive load. The space vector pulse width modulation (SVPWM) of the six‐leg inverter is studied in detail. The novel switching strategy in one sampling period for H bridge is proposed to avoid the 180° phase shift of the PWM signals for upper and lower side switches. Based on the novel switching strategy, a dead‐time elimination SVPWM is proposed, which can be easily implemented on a digital signal processor. Experimental results are presented to demonstrate the validity and features of the proposed novel SVPWM. © 2015 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.     

A Novel Feature Extraction Method with Feature Selection to Identify Golgi-Resident Protein Types from Imbalanced Data

The Golgi Apparatus (GA) is a major collection and dispatch station for numerous proteins destined for secretion, plasma membranes and lysosomes. The dysfunction of GA proteins can result in neurodegenerative diseases. Therefore, accurate identification of protein subGolgi localizations may assist in drug development and understanding the mechanisms of the GA involved in various cellular processes. In this paper, a new computational method is proposed for identifying cis-Golgi proteins from trans-Golgi proteins. Based on the concept of Common Spatial Patterns (CSP), a novel feature extraction technique is developed to extract evolutionary information from protein sequences. To deal with the imbalanced benchmark dataset, the Synthetic Minority Over-sampling Technique (SMOTE) is adopted. A feature selection method called Random Forest-Recursive Feature Elimination (RF-RFE) is employed to search the optimal features from the CSP based features and g-gap dipeptide composition. Based on the optimal features, a Random Forest (RF) module is used to distinguish cis-Golgi proteins from trans-Golgi proteins. Through the jackknife cross-validation, the proposed method achieves a promising performance with a sensitivity of 0.889, a specificity of 0.880, an accuracy of 0.885, and a Matthew’s Correlation Coefficient (MCC) of 0.765, which remarkably outperforms previous methods. Moreover, when tested on a common independent dataset, our method also achieves a significantly improved performance. These results highlight the promising performance of the proposed method to identify Golgi-resident protein types. Furthermore, the CSP based feature extraction method may provide guidelines for protein function predictions.     

密集假信号与诱饵组合干扰研究

为有效对抗反导防御系统,实现提高导弹突防能力的目的,研究了一种针对线性调频脉冲压缩体制雷达的密集假信号干扰技术。从理论上分析密集假信号对脉压雷达的干扰机理,并在目标前后仿真实现了可控数量、时延的密集假信号干扰。最后结合诱饵技术从改变弹头相当位置、对抗灵巧噪声剔除技术、提高导弹突防概率三个方面对组合干扰进行探讨。研究表明,密集假信号与诱饵组合干扰可以提高导弹的突防能力。