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| 1 | Lossless data hiding based on prediction-error adjustment显示文摘A novel lossless data hiding scheme based on a combination of prediction and the prediction-error adjustment (PEA) is presented in this paper. For one pixel,its four surrounding neighboring pixels are used to predict it and 1-bit watermark information is embedded into the prediction-error. In traditional approaches,for the purpose of controlling embedding distortion,only pixels with small prediction-errors are used for embedding. However,when the threshold is small,it is difficult to efficiently com-press the location map which is used to identify embedding locations. Thus,PEA is introduced to make large prediction-error available for embedding while causing low embedding distortions,and accord-ingly,the location map can be compressed well. As a result,the hiding capacity is largely increased. A series of experiments are conducted to verify the effectiveness and advantages of the proposed ap-proach. | WENG ShaoWei ZHAO Yao NI RongRong PAN Jeng-Shyang | 2009 | Science in China(Series F)2009，52，2： | 4 |
| 2 | Reversible water- marking based on invariability and adjustment on pixel pairs显示文摘 | Weng Shaowei Zhao Yao Pan Jeng-Shyang | 2008 | IEEE Signal Processing Letters2008，15，1： | 1 |
| 3 | Similarity representation of pattern-information fMRI显示文摘Representational similarity analysis (RSA) is a rapidly developing multivariate platform to investigate the structure of neural activities. Similarity/dissimilarity is the core concept of RSA, realized by the construction of a representational dissimilarity matrix, that addresses the closeness/distance for each pair of research elements (e.g., one minus the correlation between the brain responses to 2 different stimuli) and in turn, constitutes a multivariate pattern as its analytic foundation. This approach is also welcome for its sensitivity in detecting subtle differences of distributed experimental effects in the brain. Importantly, RSA is not only an experimental tool but a promising data-analytical framework that can integrate cross-modal imaging signals, explore brain-behavior link, and verify computational models according to measured neural activities. RSA substantiates its integrative power by relating similarity structure in one domain (e.g., stimulus features) to that in another domain (e.g., neural activities). This review summarizes dissimilarity/similarity definition of RSA, introduces how to derive the dissimilarity structure in neural response pattern, and carry out connectivity analysis based on RSA platform. Several recent advances are highlighted, such as the extraction of across-subjects regularity, cross-validation of brain reactivity in human beings and monkeys, the incorporation of computational models and behavioral profiles into RSA. Voxel receptor field modeling, another promising multivariate tool of pattern elucidation, is presented and compared. The application of RSA is expected to surge and extend in many fields of neuro-science, computation, psychology and medicine. We also discuss the limitations of RSA and some critical questions that need to be addressed in future research. | XUE ShaoWei WENG XuChu HE Sheng LI DianWen | 2013 | Chinese Science Bulletin2013，58，11： | 1 |
| 4 | A General Framework of Reversible Data Hiding with Controlled Contrast Enhancement显示文摘This paper proposes a two-step general framework for reversible data hiding(RDH)schemes with controllable contrast enhancement.The first step aims at preserving visual perception as much as possible on the basis of achieving high embedding capacity(EC),while the second step is used for increasing image contrast.In the second step,some peak-pairs are utilized so that the histogram of pixel values is modified to perform histogram equalization(HE),which would lead to the image contrast enhancement.However,for HE,the utilization of some peak-pairs easily leads to over-enhanced image contrast when a large number of bits are embedded.Therefore,in our proposed framework,contrast over-enhancement is avoided by controlling the degree of contrast enhancement.Since the second step can only provide a small amount of data due to controlled contrast enhancement,the first one helps to achieve a large amount of data without degrading visual quality.Any RDH method which can achieve high EC while preserve good visual quality,can be selected for the first step.In fact,Gao et al.’s method is a special case of our proposed framework.In addition,two simple and commonly-used RDH methods are also introduced to further demonstrate the generalization of our framework. | Shaowei Weng Yiyun Liu Yunqing Shi Bo Ou Chunyu Zhang Cuiping Wang | 2020 | Computers, Materials & Continua2020，，1： | 0 |
| 5 | PM_(2.5)concentration declining saves health expenditure in China显示文摘Air pollution has been a severe issue in China.Exposure to PM_(2.5)has adverse health effects and causes economic losses.This study investigated the economic impact of exposure to PM_(2.5)pollution using monthly city-level data covering 88.3 million urban employees in 2016 and 2017.This study mainly focused on three expenditure indicators to measure the economic impact considering lower respiratory infections(LRIs),coronary heart disease(CHD),and stroke.The results show that a 10μg/m3 increase in PM_(2.5)would cause total monthly expenses of LRIs,CHD,and stroke to increase by 0.226%,0.237%,and 0.374%,respectively.We also found that LRI,CHD,and stroke hospital admissions increased significantly by 10%,8.42%,and 5.64%,respectively.Furthermore,the total hospital stays of LRIs,CHDs,and strokes increased by 2.49%,2.51%,and 1.64%,respectively.Our findings also suggest heterogeneous impacts of PM2s exposures by sex and across regions,but no statistical evidence shows significant differences between the older and younger adult subgroups.Our results provide several policy implications for reducing unequal public health expenditures in overpolutedcountries. | Yang Xie Hua Zhong Zhixiong Weng Xinbiao Guo Satbyul Estlla Kim Shaowei Wu | 2023 | Frontiers of Environmental Science & Engineering2023，17，7： | 0 |
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