Robust skin detection in real-world images

Human skin detection in images is desirable in many practical applications, e.g., human–computer interaction and adult-content filtering. However, existing methods are mainly suffer from confusing backgrounds in real-world images. In this paper, we try to address this issue by exploring and combining several human skin properties, i.e. color property, texture property and region property. First, images are divided into superpixels, and robust skin seeds and background seeds are acquired through color property and texture property of skin. Then we combining color, region and texture properties of skin by proposing a novel skin color and texture based graph cuts (SCTGC) to acquire the final skin detection results. Comprehensive and comparative experiments show that the proposed method achieves promising performance and outperforms many state-of-the-art methods over publicly available challenging datasets with a great part of hard images.     

Fatigue behaviour of composite–composite joints reinforced with cold metal transfer welded pins

In this paper the fatigue properties of through-the-thickness reinforced joints are studied in detail. Unreinforced specimens, specimens reinforced with cold metal transfer welded titanium and steel pins and specimens reinforced with titanium z-pins are investigated. Besides classical S–N diagrams, hysteresis curves and stiffness based approaches are applied to improve the understanding of the mechanical behaviour of the joints in the progress of their fatigue life. Furthermore full field strain analysis gives information about damage initiation and growth in the joint section.     

Difference angle quantization index modulation scheme for image watermarking

In this paper, we propose a new angle quantization index modulation (AQIM) method, called the difference AQIM (DAQIM) method. The proposed method aims to improve the watermarking performance against gain attacks. Unlike the original AQIM method (Ourique et al., Angle QIM: a novel watermark embedding scheme robust against amplitude scaling distortions, in: Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 2, 2005, pp. 797–800), the DAQIM method quantizes the difference of the two angles instead of the angles themselves. The main advantage of the DAQIM method is to disperse the interference to the watermark signal from one angle to more angles. Thus, the watermark has a higher ability to resist attacks. We perform a theoretical analysis of the document-to-watermark ratio (DWR) based on our proposed method. We show that our proposed method can obtain a lower embedding distortion compared to the AQIM and the gradient direction watermarking (GDWM) (Nezhadarya et al., IEEE Trans. Inf. Forensics Secur., 6(4), 2011, 1200–1213), methods under the same robustness and payload conditions. The experimental results demonstrate that our proposed method outperforms common existing methods in terms of the robustness against various attacks such as the JPEG quantization noise, additive white Gaussian noise (AWGN), cropping effect and mean filtering.     

土壤中石油污染物的脱附过程

文章中主要采用有机溶剂萃取法（OSE）对高浓度石油污染土壤进行修复，经过精馏操作，有效回收原油，建立脱附等温曲线，研究了石油污染物在土壤-有机溶剂两相间的迁移规律。     

产融结合对上市公司经营绩效和企业价值的影响

以我国上市公司为研究样本,从金融机构参股钢铁上市公司的视角,分析不同参股比例的产融结合行为对经营绩效、企业价值的影响。经分析发现,金融机构参股超过一定比例后,产融结合对企业经营绩效和企业价值呈显著非线性相关关系。     

谐振变换器的ZVS软开关同步整流技术研究

以感应电能传输(IPT)谐振变换器为研究对象,研究了谐振变换器的ZVS同步整流(SR)技术。分析了基于SR技术IPT谐振变换器的工作原理,利用系统的谐振工作特性,提出了一种新颖的ZVS软开关SR实现方法。建立了系统频闪映射稳态数学模型,给出了ZVS软开关SR的周期不动点函数、数值求解状态变量及ZVS软开关SR工作周期的算法流程。在设计控制电路的基础上,通过实验验证了提出的同步整流技术的可行性。     

不锈钢马氏体转变的影响因素研究

对S30408和S30403两种牌号的奥氏体不锈钢板材在室温条件下进行单向拉伸试验,并用铁素体测量仪测量其马氏体相变量,结果表明随着拉伸变形量的增加,都诱发产生了形变马氏体,且随着变形量的增加形变诱发马氏体量迅速增加,并在拉断前逐渐趋于饱和。同时表明,随着含碳量增加马氏体转变量反而减小。     

汉英双语法庭口译员角色定位的伦理思考

关于汉英法庭口译员的角色定位,从译员的主体性意识角度出发,得出其在庭审过程中担任的有"信息的筛选人","交际的调解人","权力的平衡人"以及"立场的倾斜人"四种不同的角色,这四种角色的交织关系具化了在庭审过程中译员所展现出来的主体性意识。同时也不能回避其自身的伦理意识问题。以切斯特曼的五种翻译伦理模式为导向,结合相关真实庭审语料分析,对汉英双语法庭口译员的角色定位进行客观的伦理评价,得到如下发现:1)译员主体性意识下的汉英双语法庭口译员的四种角色符合翻译伦理要求;2)汉英双语法庭口译员的角色定位并不是一层不变的,只要符合翻译伦理要求,译员角色的定位可以有新的突破和发展。     

Parallelized neural network system for solving Euclidean traveling salesman problem

We investigate a parallelized divide-and-conquer approach based on a self-organizing map (SOM) in order to solve the Euclidean traveling salesman problem (TSP). Our approach consists of dividing cities into municipalities, evolving the most appropriate solution from each municipality so as to find the best overall solution and, finally, joining neighborhood municipalities by using a blend operator to identify the final solution. We evaluate performance of parallelized approach over standard TSP test problems (TSPLIB) to show that our approach gives a better answer in terms of quality and time rather than the sequential evolutionary SOM.