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Towards Building a Digital Library Service Metadata Model on the Semantic Web
Guo Shanshan,Wenyu Zhang,Zhang Shuai,Ming Cai 보안공학연구지원센터 2015 International Journal of Database Theory and Appli Vol.8 No.5
In the current era of big data, digital library (DL) is migrating towards the directions of semantic exchanges and service interactions to facilitate DL users to search, share and reuse the digital resources in a more effective and efficient manner. This paper explores Semantic Web technologies for ontology-based modeling of DL service metadata across ubiquitous DLs, enabling to add semantics to DL services to address issues related to representation, cooperation and accessibility of services in or across the communities. In particular, the DL service metadata ontology addresses the dynamic behavior of a DL service by nesting the stateful changes, constraint rules and mapping rules to achieve the dynamic coherence for seamless service interoperability in the service lifecycle. The operation of the prototype system is demonstrated to validate the implementation of the proposed approach through access and visualization in a usage scenario.
Yilin Jie,Zhaoxia Cai,Shanshan Li,Zhuqing Xie,Meihu Ma,Xi Huang 한국고분자학회 2017 Macromolecular Research Vol.25 No.9
In a tenfold-concentrated simulated body fluid, a strategy for rapid deposition of a biomimetic calcium phosphate layer on the scaffolds of electrospun collagen nanofiber membranes was developed. The aim of this study was to explore the effects of mineralization conditions and phosvitin (PV) on hydroxyapatite nucleation and growth. The mineralization model, the pH of the environment, and the deposition time were optimized. Scanning electron microscopy (SEM) images demonstrated that homogeneous and well-crystallized inorganic mineral layers were generated in the dynamic mineralization model system after incubating 3 h at pH 5.7. PV, which possesses the highest level of phosphorylation among egg proteins, was used as a model protein to investigate the contribution of PV in the mineralization process. The morphological structure and composition of the collagen/calcium phosphate composite nanofibers were also characterized by energy dispersive spectroscopy, scanning photoelectron spectrometer, X-ray diffraction (XRD), and Fourier transform infrared spectroscopy. XRD results showed the transformation process of mineralization materials from dicalcium phosphate dihydrate (DCPD) to HA through the changes of characteristic peaks at approximately 11° of DCPD and 31.8° of HA. 1.0 mg/mL. Phosvitin significantly promoted the phase transformation from DCPD to hydroxyapatite. High performance liquid chromatography results indicated that PV induced the mineralization rather than being the part of the hydroxyapatite. The minerals formed on electrospun collagen nanofiber membranes were identified to be from hydroxyapatite. These findings extended the potential application field of PV to biomimetic material.
Efficient and Secure Identity-Based Public Auditing for Dynamic Outsourced Data with Proxy
( Haiyang Yu ),( Yongquan Cai ),( Shanshan Kong ),( Zhenhu Ning ),( Fei Xue ),( Han Zhong ) 한국인터넷정보학회 2017 KSII Transactions on Internet and Information Syst Vol.11 No.10
Cloud storage becomes a new trend that more and more users move their data to cloud storage servers (CSSs). To ensure the security of cloud storage, many cloud auditing schemes are proposed to check the integrity of users’ cloud data. However, most of them are based on public key infrastructure, which leads to complex certificates management and verification. Besides, most existing auditing schemes are inefficient when user uploads a large amount of data or a third party auditor (TPA) performs auditing for multiple users’ data on different CSSs. To overcome these problems, in this paper, we propose an efficient and secure auditing scheme based on identity-based cryptography. To relieve user’s computation burden, we introduce a proxy, which is delegated to generate and upload homomorphic verifiable tags for user. We extend our auditing scheme to support auditing for dynamic data operations. We further extend it to support batch auditing in multiple users and multiple CSSs setting, which is practical and efficient in large scale cloud storage system. Extensive security analysis shows that our scheme is provably secure in random oracle model. Performance analysis demonstrates that our scheme is highly efficient, especially reducing the computation cost of proxy and TPA.
Semi-quantum Key Distribution Protocol Based on Bell States
Haiyang Yu,Yongquan Cai,Shanshan Kong,Fei Xue,Ditta Allah 보안공학연구지원센터 2016 International Journal of Security and Its Applicat Vol.10 No.12
A quantum key distribution protocol with traditional Bob has been proposed recently by Boyer et al. using single-particle state. In this paper, a semi-quantum key distribution protocol is described, in which Einstein-Podolsky-Rosen (EPR) pairs of particles are utilized to generate a secret key in remote places. This extends the quantum key distribution protocol with traditional Bob where the single-qubit channel is replaced by the entangled EPR-pair channel. And quantum Alice is able to do any quantum operations, preparing quantum states and performing quantum measurement, but traditional Bob is not able to prepare and measure a particle in the computational basis, reflect the particles. Furthermore, entanglement states are used in our protocol. The analysis shows that our protocol is secure, which can avoid the beam splitter attack automatically, and the proposed protocol is more efficient than Boyer’s scheme.
AN IMPROVED METHOD FOR TRANSFERRING GRAPHENE GROWN BY CHEMICAL VAPOR DEPOSITION
YUJIE REN,CHAOFU ZHU,WEIWEI CAI,HUIFENG LI,YUFENG HAO,YAPING WU,SHANSHAN CHEN,QINGZHI WU,RICHARD D. PINER,RODNEY S. RUOFF 성균관대학교(자연과학캠퍼스) 성균나노과학기술원 2012 NANO Vol.7 No.1
In this paper, we report an improved transfer of graphene by directly picking up the graphene with target substrates and the comparison of such transferred graphene samples with other graphene samples transferred by the commonly used "PMMA-based transfer" method. Raman spectroscopy studies show that this "direct transfer method" does not degrade the graphene structure and field effect transistor measurements show that it does not introduce any extra doping in graphene; in contrast, PMMA-based transfer samples have strong n-type doping. We also find that graphene samples achieved by this direct transfer method show higher mobility than graphene obtained from the PMMA-based transfer method.
Zhao Shunan,He Lin,Wu Xin,Xu Guowen,Xie Junlong,Cai Shanshan 대한설비공학회 2023 International Journal of Air-Conditioning and Refr Vol.31 No.1
Evaluating the thermal environment and thermal comfort in an air-conditioned room is an essential for estimating the performance of air-conditioning systems. However, multiple component structures and control-related parameters often lead to a long test cycle and large number of tests, significantly affecting the testing efficiency and speed. To address these problems, in this study, a data-mining method was proposed to predict and evaluate the thermal environment of an air-conditioned room. Owing to the limited amount of experimental data, the sample data were expanded by the simulation data of a collaborative platform between the air-conditioning system and air-conditioned room. Data-mining models, including the support vector regression (SVR), backpropagation (BP), and multiple linear regression (MLR) models, were developed and achieved good accuracy in evaluating the thermal environment by considering air-conditioning systems with various structures and control parameters. In the multiple-input single-output evaluation method, the prediction accuracy of the SVR model was higher than those of the BP and MLR models with respect to the vertical air temperature difference, temperature uniformity, temperature drop rate, and draft rate, while the result was the opposite in terms of the predicted mean vote indices. In the multiple-input multiple-output evaluation method, there was a decline in prediction accuracy and an increase in efficiency prediction compared with multiple-input single-output evaluation.