基于瞬时无功理论的不对称负荷SVC装置研究

针对电力系统日益增多的三相不对称负荷所造成的电网功率因数低、电压波形畸变等问题,本文以平衡化原理与瞬时无功理论为理论支撑,提出一种静止无功补偿装置(Static Var Compensator)补偿导纳新算法。该算法通过对负荷电流有功分量和无功分量的解耦,利用提取出的无功分量计算理想补偿导纳,相比传统算法检测更为简便,且不受谐波分量影响。在Matlab/Simulink环境下建立TCR+FC型SVC模型,通过对三相不对称负荷的仿真,证明了所提算法的正确与可行,也验证了SVC装置对平衡三相不对称网络的有效性。     

A buffer‐aware fleet‐based cooperative H.264/SVC streaming over vehicular networks

Because of of the characteristics of high mobility, time varying and dynamic topology, how to provide multimedia streaming service for connected vehicles becomes one emerging and popular technical research. The motivation of this paper is to utilize cooperation among neighboring vehicles for video streaming's quality improvement over vehicular networks. In the proposed cooperative streaming scenario, a connected vehicle requests a video stream from the Internet by using its 3G/3.5G interface, which may not have enough bandwidth to receive good quality of video. Thus, the vehicle is suggested to ask neighboring members belonging to the same fleet to download the requested video data by using their 3G/3.5G interfaces. Then, neighboring members should forward video data to the requested vehicle by using another wireless technique, for example, dedicated short range communication (DSRC). Regarding the differentiation between the two access networks, that is, 3G/3.5G network and DSRC network, a buffer‐aware scheduling mechanism based on layered streaming is designed in this paper to adapt to the networking situation of the vehicular networks. Two selection algorithms are proposed to select neighboring vehicles from the fleet. According to our simulation results, the 3G/3.5G‐based selection algorithm is suitable to improve video quality for vehicles at low speeds. On the other hand, the DSRC‐based selection algorithm can get better performance when vehicles move at high speeds or too many data are transmitted among vehicles.Copyright © 2013 John Wiley & Sons, Ltd.     

基于H.264/SVC的视频加密技术研究

随着网络的不断普及和发展,视频数据在网络中有了越来越多的应用,随之也提出了视频安全的问题,通过视频加密可以很好地解决此问题。文中分析了目前主流的H.264SVC标准所采用的可分级视频编码技术,根据视频分级编码特点选取关键信息进行分层加密,实现不同级别的视频加密。同时,所提方案采用了序列密码进行加密,具有较高的安全性。试验结果表明:该方案具有安全性高、复杂度适中、实时性好等特点。     

稻干尖线虫病胁迫水稻叶片波谱响应特征及识别研究

对植被病害的精确识别是采取植保措施的前提,同时对喷施农药也具有积极的指导作用。比较了受稻干尖线虫胁迫水稻叶片和健康叶片色素含量、光谱反射率、高光谱特征参数,受害水稻叶片与健康叶片相比,叶绿素和类胡萝卜素含量分别降低18%和22%;光谱反射率在蓝紫光、绿光和红光谱段分别增加1.5,1和2.3倍,在近红外和短波红外区域分别降低约28.9%和26.3%,红边和蓝边分别蓝移约8和10nm,绿峰和红谷分别红移约8.5和6 nm。以红边面积和红边位置作为C-SVC(非线性软间隔分类机)的输入向量,对受害和健康叶片进行识别,精度为100%。研究表明,水稻叶片光谱对病害胁迫具有显著的响应特征,利用C-SVC对受害和健康叶片进行辨别的方法是可行的。     

H.264/AVC基本档次编码器实现时域可伸缩编码的方法

提出一种在H.264/AVC基本档次编码器中实现时域可伸缩编码的方案,该方案通过H.264/AVC标准所提供的多参考帧和内存管理控制操作机制来实现。对于现有的H.264/AVC解码器,不需任何修改,即可直接解码由本方案生成的时域可伸缩码流。     

Important citation identification using sentiment analysis of in-text citations

Citation represents the relationship between the cited and the citing document and vice versa. Citations are widely used to measure the different aspects of knowledge-based achievements such as institutional ranking, author ranking, the impact factor of the journal, research grants, and peer judgments. A fair evaluation of research required a quantitative and qualitative assessment of citations. To perform the qualitative analysis of citations, researchers tried to classify the citations into binary classes (i.e., important and non-important). To perform this task, researchers used metadata, content, citations count, cue words or phrases, sentiment analysis, keywords, and machine learning approaches for citation classification. However, the state-of-the-art results of binary classification are inadequate for the calculation of different aspects of the researcher and their work. Therefore, this research proposed an in-text citation sentiment analysis-based approach for binary classification which effectively enhanced the results of the state-of-the-art. In this research, different machine learning-based models are evaluated to determine the in-text citations sentiments. These sentiment results are further used for positive-negative, and neutral citation counts. Furthermore, the scores of cosine similarity between paper citation pairs are also calculated and used as a feature. This sentiment and cosine similarity scores are further used as features in binary classification. The classification is performed through SVM, KLR, and Random Forest. The proposed approach is evaluated and compared with two state-of-the-art approaches on the benchmark dataset. The proposed approach can achieve 0.83 f-measure with the improvement of 13.6% for dataset 1 and 0.67 with an improvement of 8% for dataset two with a random forest classification model.     

Motion adaptive video coding scheme for time‐varying network

Adaptive video coding algorithms can encode a video stream dynamically on the basis of the amount of bandwidth available in a network. In this paper, a novel approach for adaptive video coding based on look‐up tables has been proposed. On the basis of the network conditions, the proposed codec estimates quantization parameter (QP) and also the spatial resolution for a group of pictures from the look‐up table. Then, QP for each frame is estimated on the basis of the motion content in each frame. More motion leads to more burden of bits while encoding the motion vectors. Also, quantization noise is less prominent in high‐motioned frames than frames possessing low motion information because of the temporal masking phenomenon of the human eyes. So, the main trick of the proposed scheme is to assign higher QP to the frames having higher motion than those having less motion. This method also reduces the requirement of excess bits for encoding of motion vectors having higher motion content. Additionally, QP is adjusted on the basis of the buffer availability in order to avoid bit loss error. Experimental results show the efficacy of the proposed codec. Copyright © 2013 John Wiley & Sons, Ltd.     

含负荷不平衡补偿的SVC复合控制方法研究

该文提出了一种通过加装带滤波器的静止无功补偿器（SVC）,使负序引起的不平衡功率和谐波功率流入SVC,最终达到平衡系统目的的方法;提出基于前馈-反馈复合控制的SVC不平衡负荷补偿方法,将电压闭环控制与三相不平衡控制相结合、功率因数闭环控制与三相不平衡控制相结合,以达到适应各种工况的需求。最后,该文在SVC相关理论研究的基础上搭建了仿真模型,仿真结果表明该文提出控制方法的正确性和可行性。     

CMMI—SCV服务模型特点与应用情况分析

本文比较了服务管理的能力成熟度集成模型CMMI—SVC与能力成熟度开发模型CMMI-DEV模型的区别和联系,关注了CMMI-SVC模型的变迁。同时还比较了CMMI-SVC模型和ITIL、IS020000模型的区别。通过比较和分析,我们得知CMMI—SVC模型是强调质量管理过程体系的过程改进,关注于资源的量化管理,重视各种流程的闭环控制,借此来引导服务型企业提升质量管理体系和服务质量。最近三年来通过CMMI-SVC的评估的企业的统计数据表明CMMI-SVC已经受到越来越多的关注。     

Efficient Media Synchronization Mechanism for SVC Video Transport over IP Networks

The scalable extension of H.264, known as scalable video coding (SVC) has been the main focus of the Joint Video Team's work and was finalized at the end of 2007. Synchronization between media is an important aspect in the design of a scalable video streaming system. This paper proposes an efficient media synchronization mechanism for SVC video transport over IP networks. To support synchronization between video and audio bitstreams transported over IP networks, a real‐time transport protocol/RTP control protocol (RTP/RTCP) suite is usually employed. To provide an efficient mechanism for media synchronization between SVC video and audio, we suggest an efficient RTP packetization mode for inter‐layer synchronization within SVC video and propose a computationally efficient RTCP packet processing method for inter‐media synchronization. By adopting the computationally simple RTCP packet processing, we do not need to process every RTCP sender report packet for inter‐media synchronization. We demonstrate the effectiveness of the proposed mechanism by comparing its performance with that of the conventional method.