Image Watermarking Scheme Based on Scale-Invariant Feature Transform

( Wan-li Lyu ),( Chin-chen Chang ),( Thai-son Nguyen ),( Chia-chen Lin ) 한국인터넷정보학회 2014 KSII Transactions on Internet and Information Syst Vol.8 No.10

In this paper, a robust watermarking scheme is proposed that uses the scale-invariant feature transform (SIFT) algorithm in the discrete wavelet transform (DWT) domain. First, the SIFT feature areas are extracted from the original image. Then, one level DWT is applied on the selected SIFT feature areas. The watermark is embedded by modifying the fractional portion of the horizontal or vertical, high-frequency DWT coefficients. In the watermark extracting phase, the embedded watermark can be directly extracted from the watermarked image without requiring the original cover image. The experimental results showed that the proposed scheme obtains the robustness to both signal processing and geometric attacks. Also, the proposed scheme is superior to some previous schemes in terms of watermark robustness and the visual quality of the watermarked image.

The mitochondrial genome of the Kentish Plover Charadrius alexandrinus (Charadriiformes: Charadriidae) and phylogenetic analysis of Charadrii

Wan Chen,Chenling Zhang,Tao Pan,Wei Liu,Kexin Li,Chaochao Hu,Qing Chang 한국유전학회 2018 Genes & Genomics Vol.40 No.9

The suborder Charadrii (Aves: Charadriiformes), one of the most species-rich radiations within shorebirds, which contains good source for studies of ecology, behaviour and evolution. The resources of mitogenome have rapidly accumulated in recent years due to the advanced genomic sequencing, while suborder Charadrii’s mitogenome has not been well studied. The primary objective of this study was to determine the complete mitogenome sequence of Charadrius alexandrinus, and investigated the evolutionary relationship within Charadrii. The mitogenome of C. alexandrinus were generated by amplification of overlapping Polymerase Chain Reaction (PCR) fragments. In this study, we determined the complete mitogenome sequence of the Kentish Plover Charadrius alexandrinus, and comparative analysed 11 species to illustrate mitogenomes structure and investigated their evolutionary relationship within Charadrii. The Charadrii mitogenomes displayed moderate size variation, the mean size was 16,944 bp (SD = 182, n = 11), and most of the size variation due to mutations in the control region (CR). Nucleotide composition was consistently biased towards AT rich, and the A+T content also varies for each protein-coding genes. The variation in ATP8 and COIII was the highest and lowest respectively. The GC skew was always negative, with the ATP8 had higher value than other regions. The average uncorrected pairwise distances revealed heterogeneity of evolutionary rate for each gene, the COIII, COI and COII have slow evolutionary rate, whereas the gene of ATP8 has the relative fast rate. The highest value of Ks and Ka were ND1 and ATP8, and the ratios of Ka/Ks are lower than 0.27, indicating that they were under purifying selection. Phylogenomic analysis based on the complete mitochondrial genomes strongly supported the monophyly of the suborder Charadrii. This study improves our understanding of mitogenome structure and evolution, and providing further insights into phylogeny and taxonomy in Charadrii. In future, sequencing more mitogenomes from various taxonomic levels will significantly improve our understanding of phylogenetic relationships within Charadrii.

Competitive Hydrogen-Bonding-Induced Microphase Separation in Thermosets with Triblock Copolymer

Chen-Yu LIAO,Wen-Hua CHEN,Yeo-Wan CHIANG,Chih-Feng HUANG 한국고분자학회 2016 한국고분자학회 학술대회 연구논문 초록집 Vol.41 No.2

Differentiation of embryonic stem cells into cardiomyocytes in a compliant microfluidic system.

Wan, Chen-rei,Chung, Seok,Kamm, Roger D Pergamon Press [etc.] 2011 Annals of biomedical engineering Vol.39 No.6

<P>The differentiation process of murine embryonic stem cells into cardiomyocytes was investigated with a compliant microfluidic platform which allows for versatile cell seeding arrangements, optical observation access, long-term cell viability, and programmable uniaxial cyclic stretch. Specifically, two environmental cues were examined with this platform--culture dimensions and uniaxial cyclic stretch. First, the cardiomyogenic differentiation process, assessed by a GFP reporter driven by the α-MHC promoter, was enhanced in microfluidic devices (?FDs) compared with conventional well-plates. The addition of BMP-2 neutralizing antibody reduced the enhancement observed in the ?FDs and the addition of exogenous BMP-2 augmented the cardiomyogenic differentiation in well plates. Second, 24 h of uniaxial cyclic stretch at 1 Hz and 10% strain on day 9 of differentiation was found to have a negative impact on cardiomyogenic differentiation. This microfluidic platform builds upon an existing design and extends its capability to test cellular responses to mechanical strain. It provides capabilities not found in other systems for studying differentiation, such as seeding embryoid bodies in 2D or 3D in combination with cyclic strain. This study demonstrates that the microfluidic system contributes to enhanced cardiomyogenic differentiation and may be a superior platform compared with conventional well plates. In addition to studying the effect of cyclic stretch on cardiomyogenic differentiation, this compliant platform can also be applied to investigate other biological mechanisms.</P>

The Safety Management & Liability on GMO Products in China

Chen I-wan 원광대학교 법학연구소 2010 의생명과학과 법 Vol.4 No.-

Use of an Artificial Neural Network to Construct a Model of Predicting Deep Fungal Infection in Lung Cancer Patients

Chen, Jian,Chen, Jie,Ding, Hong-Yan,Pan, Qin-Shi,Hong, Wan-Dong,Xu, Gang,Yu, Fang-You,Wang, Yu-Min Asian Pacific Journal of Cancer Prevention 2015 Asian Pacific journal of cancer prevention Vol.16 No.12

Background: The statistical methods to analyze and predict the related dangerous factors of deep fungal infection in lung cancer patients were several, such as logic regression analysis, meta-analysis, multivariate Cox proportional hazards model analysis, retrospective analysis, and so on, but the results are inconsistent. Materials and Methods: A total of 696 patients with lung cancer were enrolled. The factors were compared employing Student's t-test or the Mann-Whitney test or the Chi-square test and variables that were significantly related to the presence of deep fungal infection selected as candidates for input into the final artificial neural network analysis (ANN) model. The receiver operating characteristic (ROC) and area under curve (AUC) were used to evaluate the performance of the artificial neural network (ANN) model and logistic regression (LR) model. Results: The prevalence of deep fungal infection from lung cancer in this entire study population was 32.04%(223/696), deep fungal infections occur in sputum specimens 44.05%(200/454). The ratio of candida albicans was 86.99% (194/223) in the total fungi. It was demonstrated that older (${\geq}65$ years), use of antibiotics, low serum albumin concentrations (${\leq}37.18g/L$), radiotherapy, surgery, low hemoglobin hyperlipidemia (${\leq}93.67g/L$), long time of hospitalization (${\geq}14$days) were apt to deep fungal infection and the ANN model consisted of the seven factors. The AUC of ANN model($0.829{\pm}0.019$)was higher than that of LR model ($0.756{\pm}0.021$). Conclusions: The artificial neural network model with variables consisting of age, use of antibiotics, serum albumin concentrations, received radiotherapy, received surgery, hemoglobin, time of hospitalization should be useful for predicting the deep fungal infection in lung cancer.

Pancreatic Cancer Incidence and Mortality Patterns in China, 2009

Chen, Wan-Qing,Liang, Di,Zhang, Si-Wei,Zheng, Rou-Shou,He, Yu-Tong Asian Pacific Journal of Cancer Prevention 2013 Asian Pacific journal of cancer prevention Vol.14 No.12

Objective: To estimate the incidence and mortality rates for pancreatic cancer in China. Methods: After checking and reviewing the cancer registry data in 2009 from 72 cancer registry centers, we divided cancer registry areas into urban and rural areas. Incidence/mortality rates, age-specific incidence/mortality rates, age-standardized incidence/mortality rates, proportions, and cumulative incidence/mortality rates for pancreatic cancer were calculated. Results: The total number of newly diagnosed pancreatic cancer cases and deaths in 2009 were 6,220 and 5,650, respectively. The crude incidence rate in all cancer registry areas was 7.28/100,000 (males 8.24, females 6.29). The age-standardized incidence rate by Chinese standard population (ASR) was 3.35/100,000, with ranking at 7th among all cancers. Pancreatic cancer incidence rate was 8.19/100,000 in urban areas whereas it was 5.41/100 000 in rural areas. Cancer mortality rate in all cancer registry areas was 6.61/100,000 (males 7.45; females 5.75), with ranking at 6th among all cancers, and 7.42/100 000 in urban but 4.94/100000 in rural areas. Conclusions: Pancreatic cancer incidence and mortality rates have shown a gradual increase in China. Owing to the difficulty of early diagnosis, identification of high-risk population and modification of risk factors are important to reduce the burden of pancreatic cancer.

Design and Implementation on Spatial Science and Technology Information Database of CSI

Chen, Xiu Wan,Deng, Zheng Quan,Lu, Zhi Gao,Ma, Jia,Lin, Jia Yuan,Zhang, Wen Jiang,Luo, Tianfu,Liu, Baofu 대한원격탐사학회 2000 International Symposium on Remote Sensing Vol.16 No.1

Remote Sensing technology, which is characterized by producing imagery an multi-platform, different temporal and spatial resolution, has greatly improved mankind's capability of acquisition, processing and application of spatial information. The increase of spatial data sources and the development, applications and industrialization of spatial information technology are urging the need of spatial data sharing and exchanging. Based an a brief introduction an the China Spatial Information Network (CSI) and its database system, the CSI Spatial Science and Technology Information Database (SSTID) management system was designed and implemented in this paper.

Spatial information System Applications for Sustainable Development : Theoretical and Case Studies

Wan, Chen Xiu,Jing, Li,Jun, Zhou Nai 대한원격탐사학회 1996 International Symposium on Remote Sensing Vol.12 No.1

Sustainable development is a way that will meet current needs without compromising the ability of future generations to meet their needs. It needs read-time dynamic information in various fields especially in natural resources and environment for planning and decision-making. The application of Spatial Information System(SIS) including Remote Sensing (RS), Geographical Information System (GIS), Global Positioning System (GPS) and Ground Monitoring System(GMS), etc., can obtain the dynamic information of regional resource, environment, disaster, etc. It also plays important roles in information restoring, inquiring, analyzing, and decision making. On the other hand, the social and economical development will provide farther supports for SIS technique development and applications. In this paper, the principle and methodology of SIS applying for regional sustainable development were discussed, and a case study in Panzhihua City, Sichuan Province, China was introduced.

Analysis on the Co-channel Interference for the Coexistence of PS-LTE and LTE-R Networks

Wan Chen,Ishtiaq Ahmad,KyungHi Chang,Jin-Kyu Choi,Hanbyeog Cho 한국통신학회 2016 한국통신학회 학술대회논문집 Vol.2016 No.6