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Luo Zhenxing(Zhenxing Luo),Zhao Yanwei(Yanwei Zhao),Lim Jungmin(Jungmin Lim) 한국자료분석학회 2023 Journal of the Korean Data Analysis Society Vol.25 No.3
The central aim of this paper is to provide a comprehensive analysis of the impact of population aging on carbon emissions in China. In order to attain a deeper comprehension of this effect, this study investigates the non-linear relationship between population aging and carbon emissions through empirical analysis of 30 provinces and regions in China from 1997 to 2019 using a panel threshold model. Our primary research findings indicate that the correlation between population aging and carbon emissions demonstrates nonlinearity. Population aging has had an inhibitory effect on carbon emissions; however, as the aging population continues to increase, its effect on suppressing carbon emissions will weaken. Moreover, we have also uncovered non-linear relationships between energy intensity, per capita GDP, industrial structure, and carbon emissions. Notably, despite rapid growth in total fossil energy consumption, energy intensity has shown a decreasing trend in China, which has mitigated the upsurge in carbon emissions attributed to fluctuations in energy intensity. The positive correlation between GDP per capita and carbon emissions is evident, but there is little variation observed across different threshold levels. Finally, the relationship between industrial structure and carbon emissions is considerably intricate, our results show that a U-shaped curvilinear relationship exists between the two variables.
Reversible Data Hiding in JPEG Images Using Ordered Embedding
( Zhenxing Qian ),( Shu Dai ),( Boyang Chen ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.2
This paper proposes a novel method of reversible data hiding in JPEG images. After analyzing the JPEG features, we provide a new algorithm of selecting appropriate blocks and coefficients to carry secret messages. Instead of embedding data into the histogram of all coefficients, we propose a strategy of ordered embedding to hide data by histogram shifts in several rounds. On the recipient end, secret messages can be exactly extracted, and the original JPEG image can be losslessly recovered. Experimental results show that high embedding rate can be achieved with limited distortions. Most importantly, the marked JPEG file generated by the proposed method requires less storage size than state-of-the-art works.
Lung Cancer Classification using Fuzzy Interactive Naïve Bayesian Network
Zhenxing Zhang,Letao Qu,Joon S.Lim 보안공학연구지원센터 2015 International Journal of Bio-Science and Bio-Techn Vol.7 No.4
Lung cancer is the most serious disease in the world and millions of people die of it every year. Because of the limitations of current treatment processes, it is difficult to cure lung cancer if the patient is no longer in the early stages. Therefore, it is necessary to diagnose lung cancer as early as possible, thereby increasing the chances to cure it. The Fuzzy Interactive Naïve Bayesian (FINB) network is a new Bayes network that can be used to classify lung cancer by using microarray data sets. The FINB network is an interactive network and every attribution has an interactive parent and with a weight on the relationship that shows the interaction of the attribution in the data set. In our experiments, we use the gene expression profiles from the Affymetrix Human Genome U133 Plus 2.0 microarray. We use the Neural Network with a Weighted Fuzzy Membership Function (NEWFM) to train the data set and reconstruct the Fuzzy Interactive Naïve Bayesian network. Then we compare the results with Tree augment naïve Bayesian (TAN) network. We conclude that the FINB network performs better than the TAN network.
Constructive Steganography by Tangles
( Zhenxing Qian ),( Lin Pan ),( Nannan Huang ),( Xinpeng Zhang ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.8
This paper proposes a novel steganography method to hide secret data during the generation of tangle patterns. Different from the traditional steganography based on modifying natural images, we propose to construct stego images according to the secret messages. We first create a model to group a selected image contour, and define some basic operations to generate various pattern cells. During data hiding, we create a cell library to establish the relationships between cells and secret data. By painting the cell inside the image contour, we create a dense tangle pattern to carry secret data. With the proposed method, a recipient can extract the secret data correctly. Experimental results show that the proposed method has a flexible embedding capacity. The constructed stego tangle image has good visual effects, and is secure against adversaries. Meanwhile, the stego tangle pattern is also robust to JPEG compression.
Closed-form expressions for the symbol error probability of 3-D OFDM
Zhenxing Chen,Eun Chang Choi,Seog Geun Kang IEEE 2010 IEEE communications letters Vol.14 No.2
<P>In this letter, closed-form expressions for the symbol error probability of 3-D orthogonal frequency division multiplexing in additive white Gaussian noise channel are derived. When a 3-D 4-ary constellation is used as signal mapper, we calculate the upper and the lower bound for the error probability, and also provide its approximation. Since decision boundaries of 8- ary constellation form an extended regular hexahedron, an exact symbol error probability can be computed. It is verified that the theoretical error probabilities are very close to or almost the same as simulation results.</P>
Balance for relative homology with respect to semidualizing modules
Zhenxing Di,Xiaoxiang Zhang,Jianlong Chen 대한수학회 2015 대한수학회보 Vol.52 No.1
We derive in the paper the tensor product functor $-\otimes_R-$ by using proper $\mathcal {G}\mathcal {P}_C$-resolutions, where $C$ is a semidualizing module. After giving several cases in which different relative homologies agree, we use the Pontryagin duals of $\mathcal {G}_C$-projective modules to establish a balance result for such relative homology over a Cohen-Macaulay ring with a dualizing module $D$.