A new approach of audio emotion recognition

A new architecture of intelligent audio emotion recognition is proposed in this paper. It fully utilizes both prosodic and spectral features in its design. It has two main paths in parallel and can recognize 6 emotions. Path 1 is designed based on intensive analysis of different prosodic features. Significant prosodic features are identified to differentiate emotions. Path 2 is designed based on research analysis on spectral features. Extraction of Mel-Frequency Cepstral Coefficient (MFCC) feature is then followed by Bi-directional Principle Component Analysis (BDPCA), Linear Discriminant Analysis (LDA) and Radial Basis Function (RBF) neural classification. This path has 3 parallel BDPCA + LDA + RBF sub-paths structure and each handles two emotions. Fusion modules are also proposed for weights assignment and decision making. The performance of the proposed architecture is evaluated on eNTERFACE’05 and RML databases. Simulation results and comparison have revealed good performance of the proposed recognizer.     

Research on the measure method of complaint theme influence on online social network

Consumer complaints on online social network quickly become online groups complaints through many people’s aggregation and looking on, interaction and word-of-mouth communication. Therefore, assessing and managing online complain influence has become a new problem for enterprise to listen to and manage online group complaints. This paper analyzed the complaint information feature of consumer group on online social network, from three-dimensional perspective of complaint text’s quality, transmission timeliness and user interaction degree. We built the influence measure model of online complaint theme based on entropy weight model by monitoring and analyzing real-time the static and dynamic properties of complaint information, explored the measure method of complaint theme influence, employed empirical method to verify the validity and provided scientific decision-making tools and methods for enterprise listening to and managing online group complains.     

Text classification using genetic algorithm oriented latent semantic features

In this paper, genetic algorithm oriented latent semantic features (GALSF) are proposed to obtain better representation of documents in text classification. The proposed approach consists of feature selection and feature transformation stages. The first stage is carried out using the state-of-the-art filter-based methods. The second stage employs latent semantic indexing (LSI) empowered by genetic algorithm such that a better projection is attained using appropriate singular vectors, which are not limited to the ones corresponding to the largest singular values, unlike standard LSI approach. In this way, the singular vectors with small singular values may also be used for projection whereas the vectors with large singular values may be eliminated as well to obtain better discrimination. Experimental results demonstrate that GALSF outperforms both LSI and filter-based feature selection methods on benchmark datasets for various feature dimensions.     

基于最优连通功率控制的WSNs跨层路由优化算法

针对非连通区域节点空洞效应和热点区域节点间通信干扰导致的路由服务质量（QoS）下降问题,提出了一种基于最优连通功率控制的无线传感器网络（WSNs）跨层路由优化算法。算法采用自适应最优连通功率控制策略,在避免路由空洞产生和保证网络连通性条件下,降低热点区域节点数据转发竞争干扰;通过位置信息、剩余能量和干扰等级的跨层信息交互,动态选取最优转发节点,提高网络整体性能。仿真实验表明：算法能够提高路由（QoS）、优化网络生命周期和降低热点区域通信干扰。     

合成煤中钠对煤燃烧及灰特性影响

准东煤中钠含量高，燃用时锅炉会出现严重结渣问题。通过向准东煤为原料制取的超纯煤中添加灰的模型化合物，得到合成煤。并在此基础上利用热重-差示扫描量热分析法（TG/DTG/DSC）、X射线衍射仪（XRD）和灰熔融温度测定分析手段，研究Na₂O含量对煤燃烧特性和灰熔融性的影响。结果表明：钠主要影响合成煤的着火温度（T_i）与焦炭燃烧阶段，钠含量增加使T_i升高，并且Na₂O在灰中质量分数由5%升高至8%后，钠含量增加使焦炭燃烧速率先减小后加快，并能够改善煤粉燃尽特性。钠能够降低灰熔融温度，并在Na₂O质量分数高于5%后，温度下降更加明显。在三元相图中钠对莫来石的助熔作用是造成灰熔融温度降低的重要原因。XRD分析表明Na₂O含量增加，充当骨架作用的石英在钠的助熔作用下与难熔矿物硅钙石、MgO等生成低熔点长石类矿物，这类矿物在高温下有助熔作用，能够降低灰熔融温度。同时还生成助熔性含钠矿物霞石，加剧了灰熔融。     

基于SOA的建筑设备物联网体系架构研究

为解决建筑设备物联网系统集成异构的建筑自动化子系统（如：中央空调系统、恒压供水系统、门禁系统等）和整合数据信息资源等问题,文中针对建筑设备物联网系统的自身特点,提出一种基于SOA的建筑设备物联网体系架构模型。重点阐述了该模型的架构组成和层次结构,并将该架构模型应用于建筑用电设备的物联网系统中。实验结果表明,基于SOA架构的建筑设备物联网能够有效整合物联网系统异构平台,且能够提高系统的安全性、可扩展性和互操作性。     

基于远程监控图像的绝缘子覆冰检测算法

提出一种基于远程监控图像的绝缘子覆冰情况检测算法。本文算法充分利用边缘检测方法和其他图像处理方法,对覆冰绝缘子侧面冰棱的边缘情况进行精确的检测。本文算法还引入了摄像头的标定参数,使其能更加准确地估计覆冰绝缘子侧面的冰棱长度。当摄像头因为外力或其他因素而产生角度偏移时,本文算法能及时地对摄像头标定参数做出修正,并利用新的标定参数重新估计绝缘子的覆冰情况。实验结果表明,本文算法对绝缘子侧面冰棱边缘检测效果显著,满足实时监控和预警报警的要求。     

制备工艺和添加剂对TiO2体系陶瓷的复合功能特性的影响

TiO2体系复合功能陶瓷是一种兼有压敏功能和介电性能的新型功能陶瓷材料,具有压敏电压低、非线性系数高、介电常数大等优点,在微小型电子设备与器件中有广泛的用途。本文从制备工艺、添加改性等方面分析了TiO2体系复合功能陶瓷的研究现状,并对其发展方向进行了展望。     

Performance of solvothermally prepared Ga2O3-Al2O3 catalysts for SCR of NO with methane

The solvothermal reaction of mixtures of aluminum isopropoxide (AIP) and gallium acetylacetonate (Ga(acac)₃) directly yielded the mixed oxides of γ-Ga₂O₃-Al₂O₃. In the solvothermal synthesis, the crystal structure of mixed oxides was controlled by the initial formation of γ-Ga₂O₃ nuclei. The mixed oxides prepared in diethylenetriamine have extremely high activities for selective catalytic reduction (SCR) of NO with methane as a reducing agent. With increasing crystallite size of the spinel structure, the catalytic activity increased. The ratio of the amount of methane consumed by combustion to total methane conversion was proportional to the density of acid sites on the surface of the mixed oxides. The mixed oxide catalysts prepared in diethylenetriamine had lower densities of acid sites and showed a higher methane-efficiency for CH₄-SCR than those prepared in other solvents. These catalysts maintained their high activity even when the reaction was carried out under the severe conditions (i.e., high space velocity and low NO concentration).     

Implementation of a real option in a sustainable supply chain: an empirical study of alkaline battery recycling

Green supply chain management (GSCM) has emerged as a key approach for enterprises seeking to become environmentally sustainable. This paper aims to evaluate and describe the advantages of a GSCM approach by analysing practices and performance consequences in the battery recycling sector. It seeks to integrate works in supply chain management (SCM), environmental management, performance management and real option (RO) theory into one framework. In particular, life cycle assessment (LCA) is applied to evaluate the environmental impact of a battery recycling plant project, and life cycle costing (LCC) is applied to evaluate its economic impact. Firms, also understanding the relevance of GSCM, have often avoided applying the green principles because of the elevated costs that such management involved. Such costs could also seem superior to the potential advantages since standard performance measurement systems are internally and business focused; for these reasons, we consider all the possible value deriving also by uncertainty associated to a green project using the RO theory. This work is one of the few and pioneering efforts to investigate GSCM practices in the battery recycling sector.