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Design and Application of Plasmonic Nanoparticle Superlattices

Design and Application of Plasmonic Nanoparticle Superlattic...

The 6th International Conference on Nanoscience and Technology, China 2015 (第六届中国国际纳米科学技术会议)

作者： Kae Jye Si Yi Chen Debabrata Sikdar Wenlong Cheng Department of Chemical Engineering Faculty of EngineeringMonash UniversityClayton 3800VictoriaAu State Key Laboratory of Bioelectronics Jiangsu Key Laboratory for Biomaterials and DevicesSchool of Advanced Computing and Simulation Laboratory(AχL) Department of Electrical and Computer Systems Engi

The modular assembly of plasmonic nanoparticles enables the creation of a new class of two-dimensional nanoparticle sheets with novel optical *** exciting advances,undeveloped issues still remain in terms of nanoparticle sheet design and potential ***,we present our research work which describes a simplistic and general polymer-based approach to assemble core-shell Au@Ag nanocubes into periodic nanoparticle arrays.

关键词： Plasmene Nanoparticle Superlattices Plasmonics Origami SERS Self-Assembly and supramolecules

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Design and Application of Plasmonic Nanoparticle Superlattices

Design and Application of Plasmonic Nanoparticle Superlattic...

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The 6th International Conference on Nanoscience & Technology, China 2015

作者： Kae Jye Si Yi Chen Debabrata Sikdar Wenlong Cheng Department of Chemical Engineering Faculty of EngineeringMonash University State Key Laboratory of Bioelectronics Jiangsu Key Laboratory for Biomaterials and DevicesSchool of Biological Science and Medical EngineeringSoutheast University Advanced Computing and Simulation Laboratory (AχL) Department of Electrical and Computer Systems EngineeringFaculty of EngineeringMonash University

The modular assembly of plasmonic nanoparticles enables the creation of a new class of two-dimensional nanoparticle sheets with novel optical signatures. Despite exciting advances, undeveloped issues still remain in terms of nanoparticle sheet design and potential applications. Here, we present our research work which describes a simplistic and general polymer-based approach to assemble core-shell Au@Ag nanocubes into periodic nanoparticle arrays.[1] These nanocubes are functionalized with polystyrene and spread on the surface of water droplet on a holey copper mesh. Upon water evaporation, the balance between the nanoparticle core-to-core attraction and polystyrene ligand-to-ligand repulsion forces led to the formation of a free-standing lattice-like nanosheet with ultimate thickness limit but macroscopic lateral dimensions. These sheets, which we termed as plasmene, exhibited unique novel properties such as localized gap and propagating plasmonics. Using focused ion beam(FIB) lithography, the superior robustness of these nanosheets allows it to be milled into one-dimensional nanoribbons and folded into geometrically well-defined three-dimensional origami structures such as cubes, hearts and even a ‘flying bird‘. Due to the structural homogeneity, mechanical flexibility and optical transparency of these sheets, we also demonstrated the application of these nanosheets as a surface-enhanced Raman scattering(SERS) substrate for chemical detection on topologically complex surfaces such as banknotes and coins.[2,3]

关键词： Plasmene,Nanoparticle,Superlattices,Plasmonics,Origami,SERS,Self-Assembly and supramolecules

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Byzantine fault tolerance for collaborative editing with commutative operations

Byzantine fault tolerance for collaborative editing with com...

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IEEE International Conference on Electro-Information Technology

作者： Wenbing Zhao Mamdouh Babi William Yang Xiong Luo Yueqin Zhu Jack Yang Chaomin Luo Mary Yang Department of Electrical Engineering and Computer Science Cleveland State University Cleveland OH Texas Advanced Computing Center University of Texas at Austin Austin Texas School of Computer and Communication Engineering University of Science and Technology Beijing Beijing China Development Research Center of China Geological Survey Key Laboratory of Geological Information Technology Beijing China Division of Biostatistics & Biomathematics Massachusetts General Hospital & Harvard Medical School Boston MA Department of Electrical and Computer Engineering University of Detroit Mercy Detroit Michigan Department of Information Science Little Rock and University of Arkansas for Medical Sciences Little Rock Arkansas

ISBN: (纸本)9781467399869

In this paper, we present a study on how to achieve Byzantine fault tolerance for collaborative editing systems with commutative operations. Recent research suggests that Conflict-free Replicated Data Types (CRDTs) can be used to construct collaborative editing systems where concurrent update operations are commutative. This new approach is shown to avoid the complex issue of conflict resolution for concurrent updates to a shared document. The shared document is often modeled as a linear text buffer where each basic element is assigned a globally unique and totally ordered identifier. The linear text buffer constructed this way would constitute as a CRDT, which would make concurrent update operations issued by different users commutative. State convergence at all users can be achieved automatically as long as the users could receive the same set of operations irrespective of their relative ordering. However, it is not straightforward to guarantee state convergence in the presence of malicious users and external adversaries. In this paper, we carefully analyze the threats towards this type of systems, and propose a lightweight solution to achieve Byzantine fault tolerance with low runtime overhead. We define a set of correctness properties for such systems and prove that the proposed Byzantine fault tolerance mechanisms guarantee these properties.

关键词： Collaboration Fault tolerant systems Fault tolerance Convergence Algorithm design and analysis Mechanical factors

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Corrections to “Cross-Modal Correlation Learning by Adaptive Hierarchical Semantic Aggregation” [Jun 16 1201-1216]

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IEEE Transactions on Multimedia 2016年第10期18卷 2127-2127页

作者： Yan Hua Shuhui Wang Siyuan Liu Anni Cai Qingming Huang School of Information Engineering Communication University of China Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China Smeal College of Business Pennsylvania State University University Park PA USA Center of Cloud Computing Institute of Advanced Computing and Digital Engineering Shenzhen Institutes of Advanced Technology Shenzhen China Department of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing China University of Chinese Academy of Sciences Beijing China Key Laboratory of Intellectual Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China

Presents corrections to the paper, "Cross-modal correlation learning by adaptive hierarchical semantic aggregation," (Hua, Y., et al) IEEE Trans. Multimedia, vol. 18, no. 6, pp. 1201-1216, Jun. 2016.

关键词： Semantics Learning (artificial intelligence) Ontologies Query processing

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City-Level Geolocation Based on Routing Feature

City-Level Geolocation Based on Routing Feature

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International Conference on advanced Information Networking and Applications (AINA)

作者： Fan Zhao Yuhan Song Fenlin Liu Ke Ke Jingning Chen Xiangyang Luo Zhengzhou Information Science and Technology Institute China National Digital Switching System Engineering and Technological R&D Center Zhenazhou Henan China Zhengzhou Information Science and Technology Institute State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan China

For the problem that traditional approaches for IP geolocation based on delay measurement are difficult to apply to network with weak connectivity such as China's Internet, in this paper, we utilize its hierarchical topology and proposed an approach of City-level geolocation based on routing feature. Taking IPs with known geographical location as reference nodes, this approach extracts identifying IPs of candidate regions or cities based on decision tree learning algorithm. We match the path of the target with IPs above called identifying features, and then select the region or city whose identifying feature is contained on the target's path as geolocation result. This approach improves the average accuracy for the Internet with weak connectivity hierarchical topology to 93% vs. 73% for the previous learning-based geolocation approach.

关键词： Geology Cities and towns IP networks Delays Internet Topology Network topology

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Discovering users' potential demands for literature recommendation

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9th FTRA InternationalConference on Future Information Technology, FutureTech 2014

作者： Gao, Yinghu Chen, Xue Xu, Zheng School of Computer Engineering and Science Shanghai University Shanghai China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China

ISBN: (纸本)9783642550379

Inspired by the process of human memory and interaction, this paper provides a discovery model of user demands. We can get the keywords network and episodic network by capture and analysis the user's behavior in the process of interaction, which can help the searching results to meet the user's actual demands better. © 2014 Springer-Verlag Berlin Heidelberg.

关键词： Behavioral research

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A semantic representation of micro-blog short text based on topic model

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9th FTRA InternationalConference on Future Information Technology, FutureTech 2014

作者： Tang, Wenqing Chen, Xue Xu, Zheng State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China School of Computer Engineering and Science Shanghai University Shanghai China

ISBN: (纸本)9783642550379

The fundamental challenge confronting micro-blog short texts is to represent, compute and mine their semantics since they are colloquial language and restricted within 140 words. This paper presents an approach to represent micro-blogs semantically based on topic model. First, we get the topic vector of micro-blog through word-themes Mutual Reinforcement of micro-blog texts. Second, we take advantages of improved K-means to cluster micro-blog topic vectors and gain a category set of micro-blogs. Third, we make experiments to prove the above-mentioned methods. Finally, we find these methods can calculate semantics of micro-blogs text accurately and effectively. © 2014 Springer-Verlag Berlin Heidelberg.

关键词： Semantics

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Adaptability of BFS algorithm and multicore processor

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Dongbei Daxue Xuebao/Journal of Northeastern University 2014年 35卷 96-101页

作者： Ye, Nan Hao, Zi-Yu Zheng, Fang Xie, Xiang-Hui State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi214083 China

The typical features of graph algorithm represented by breadth-first search (BFS) were investigated, and a lightweight heuristic switch strategy was designed and implemented by automatically switching through two basic search methods to improve search efficiency. Based on discrete and random data access characteristics of BFS algorithm and execution mechanism of multicore processor, an analytic model of multicore processor architecture was established to guide the research about the operating characteristics and performance trends on the typical multicore processors. The results showed that the lowest Cache hit ratio is about 85%, pipeline stall ratio is more than 50%, branch misprediction ratio reaches up to 14%, and pipeline total utilization efficiency is only 35%. So the current multicore processor can't support graph computing efficiently. ©, 2014, Northeastern University. All right reserved.

关键词： Pipelines

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A Landmark Calibration Based IP Geolocation Approach

A Landmark Calibration Based IP Geolocation Approach

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International Conference on Availability, Reliability and Security, ARES

作者： Jingning Chen Fenlin Liu Xiangyang Luo Fan Zhao Guang Zhu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Science and Technology Institute Zhengzhou Henan China State Key Lab. of Math. Eng. & Adv. Comput. Zhengzhou Sci. & Technol. Inst. Zhengzhou China

ISBN: (纸本)9781467365918

Aiming at the existing IP geolocation approaches does not consider the errors of landmarks, a new geolocation approach utilized landmark calibration is proposed in this paper. At first, by assigning a deviation, the location of the landmark with low reliability is regarded as a possible area, then geolocating the target IP can be converted into a constrained optimization problem, finding the location estimation of target IP by solving this problem, as well as the real deviation of landmark. The algorithm analysis and experimental results show that, when a landmark is not located in its claimed position, our geolocation approach can still give a location for the target IP.

关键词： Geology Delays IP networks Probes Optimization Calibration Propagation delay

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Identification of mild cognitive impairment using extreme learning machines model 11th

Identification of mild cognitive impairment using extreme le...

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11th International Conference on Intelligent computing, ICIC 2015

作者： Zhang, Wen Shen, Hao Ji, Zhiwei Meng, Guanmin Wang, Bing School of Electronics and Information Engineering Tongji University Shanghai201804 China The Advanced Research Institute of Intelligent Sensing Network Tongji University Shanghai201804 China The Key Laboratory of Embedded System and Service Computing Tongji University Shanghai201804 China Department of Clinical Laboratory Tongde Hospital of Zhejiang Province 234th Gucui Road Hangzhou310012 China

ISBN: (纸本)9783319221854

Alzheimer’s disease (AD) is very common disorder among the older people. Predicting mild cognitive impairment (MCI), an intermediate stage between normal cognition and dementia, in individuals with some symptoms of cognitive decline may have great influence on treatment choice and disease progression. In this work, a novel prediction model based on extreme learning machines algorithm was proposed to identify mild cognitive impairment using the information of some biomarkers, i.e., Position Emission Tomography (PET), Magnetic Resonance Imaging (MRI), and the cerebrospinal fluid (CSF). Firstly, each subject will be represented by three biomarkers using a vector with 201 dimensions after some essential pre-processing. Then, a prediction model based on extreme learning machine algorithm was trained to catch the difference between the patients and healthy persons. Finally, the model had been employed to identify identifying MCI participants from the normal people. Based on a dataset, including 99 MCI patients and 52 health controls, our proposed method achieved 70.86 % prediction accuracy with 67.68 % sensitivity at the precision of 76.92 %. Extensive experiments are performed to compare our method with state-of-the-art techniques, i.e., support vector machine (SVM) and SVM with fusion kernels. Experimental results demonstrate that proposed extreme learning machine is a powerful tool for predicting MCI with excellent performance and less time. © Springer International Publishing Switzerland 2015.

关键词： Support vector machines

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