1,756 research outputs found
Secure agent data integrity shield
No full textIn the rapidly expanding field of E-Commerce, mobile agent is the emerging technology that addresses the requirement of intelligent filtering/processing of information. This paper will address the area of mobile agent data integrity protection. We propose the use of Secure Agent Data Integrity Shield (SADIS) as a scheme that protects the integrity of data collected during agent roaming. With the use of a key seed negotiation protocol and integrity protection protocol, SADIS protects the secrecy as well as the integrity of agent data. Any illegal data modification, deletion, or insertion can be detected either by the subsequent host or the agent butler. Most important of all, the identity of each malicious host can be established. To evaluate the feasibility of our design, a prototype has been developed using Java. The result of benchmarking shows improvement both in terms of data and time efficiency
Advanced Seismic Risk Assessment of California Box-Girder Bridges Using Emerging Modeling Techniques and Innovative Risk Models
No full textSeismic fragility models depict the structural failure probability under earthquakes and play an essential role in planning mitigation strategies for, and prioritizing emergency response after, a natural hazard. This dissertation concentrates on developing a new generation of seismic fragility models for select concrete box-girder bridges in California in terms of advanced numerical bridge models, comprehensive bridge component capacity models, and robust seismic risk analysis methodologies. The dissertation first introduces emerging modeling techniques that can improve the fidelity of numerical models. Most importantly, an abutment backwall fracture model is proposed to eliminate an enormous error due to excessive lateral supports from abutment foundations in conventional abutment models. In the aspect of capacity models, seven damage states for columns are established based on a newly developed column dataset with 198 laboratory tests. Next, appropriate geometrical and material uncertainties are identified and applied in the finite element bridge models. Furthermore, to ensure that the 352 virtual bridge realizations meet the design criteria in California, three sampling techniques are proposed to correlate different uncertainties. After acquiring seismic response demands of bridge components, several methods of establishing a probabilistic seismic demand model (PSDM), relating structural seismic demand and ground motion intensity measurement, are examined. A new method called modified multiple adaptive regression splines (M-MARS) is proposed to construct the PSDM. Following is the development of four-level fragility models, from low-level component fragilities to high-level system fragilities. Ultimately, conclusions are made based on the research findings and comparisons of results through a developed bridge grouping method.Ph.D
Bridges with Innovative Buckling Restrained SMA Expansion Joints Having a High Symmetrical Tension/Compression Capacity
No full textA piezoelectric brace for passive suppression of structural vibration and energy harvesting
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An effective simplified model of composite compression struts for partially-restrained steel frame with reinforced concrete infill walls
No full textSARSCOVIDB - Banco de dados de infecção pelo SARS-CoV-2 : uma nova plataforma para analisar o impacto molecular da infecção pelo vírus da COVID-19
Get PDFA pandemia da COVID-19 provocada pelo novo coronavírus (SARS-COV-2) se tornou uma questão de emergência global para saúde pública devido a rápida propagação e elevado número de óbitos. Esta situação de urgência global levou a uma aceleração na pesquisa relacionada e, consequentemente, a um volume sem precedente de dados clínicos e experimentais, nos quais se incluem alterações de expressão gênica resultantes da infecção. O Banco de Dados da Infecção por SARS-COV-2 (SARSCOVIDB – https://sarscovidb.org/) foi criado para mitigar as dificuldades relacionadas a este cenário. O SARSCOVIDB é uma plataforma online que objetiva integrar todos os dados de expressão gênica diferencial, a nível de RNA mensageiro e proteína, acelerando a pesquisa sobre o impacto molecular da COVID-19. O banco de dados pode ser consultado a partir de diferentes perspectivas experimentais como as diferentes cepas virais utilizadas, hospedeiros, abordagens metodológicas (proteômica ou transcriptômica), genes/proteínas, tipo de amostra (clínica ou experimental). Todas estas informações foram retiradas de todos os 30 artigos de análise de expressão gênica diferencial relacionada cerca de 7000 artigos publicados até o momento e disponibilizados nas duas principais plataformas de busca, o PubMed e o Web of Science. O banco de dados apresenta 10534 genes identificados cuja expressão foi alterada devido a infecção por SARS-COV-2. Assim, o SARSCOVIDB é uma nova ferramenta para apoiar a comunidade científica no entendimento da patogênese e impacto molecular causado pelo SARS-COV-2.The COVID-19 pandemic caused by the new coronavirus (SARS-COV-2) has become a global emergency issue for public health due to the rapid spread and high number of deaths. This global emergency led to an acceleration in related research and, consequently, to an unprecedented volume of clinical and experimental data, which includes changes in gene expression resulting from infection. The SARS-COV-2 Infection Database (SARSCOVIDB - https://sarscovidb.org/) was created to mitigate the difficulties related to this scenario. SARSCOVIDB is an online platform that aims to integrate all differential gene expression data, at the level of messenger RNA and protein, accelerating research on the molecular impact of COVID-19. The database can be consulted from different experimental perspectives such as the different viral strains used, hosts, methodological approaches (proteomics or transcriptomics), genes / proteins, type of sample (clinical or experimental). All this information was taken from all 30 articles of analysis of related differential gene expression 7000 published so far and made available on the two main search platforms, PubMed and Web of Science. The database features 10534 identified genes whose expression has been altered due to SARS-COV-2 infection. Thus, SARSCOVIDB is a new tool to support the scientific community in understanding the pathogenesis and molecular impact caused by SARS-COV-2
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