The Experts below are selected from a list of 21804 Experts worldwide ranked by ideXlab platform
Zhiping Weng - One of the best experts on this subject based on the ideXlab platform.
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seqvista a Graphical tool for sequence feature visualization and comparison
BMC Bioinformatics, 2003Co-Authors: Martin C Frith, Tianhua Niu, Zhiping WengAbstract:Many readers will sympathize with the following story. You are Viewing a gene sequence in Entrez, and you want to find whether it contains a particular sequence motif. You reach for the browser's "find in page" button, but those darn spaces every 10 bp get in the way. And what if the motif is on the opposite strand? Subsequently, your favorite sequence analysis software informs you that there is an interesting feature at position 13982–14013. By painstakingly counting the 10 bp blocks, you are able to examine the sequence at this location. But now you want to see what other features have been annotated close by, and this information is buried several screenfuls higher up the web page. SeqVISTA presents a holistic, Graphical View of features annotated on nucleotide or protein sequences. This interactive tool highlights the residues in the sequence that correspond to features chosen by the user, and allows easy searching for sequence motifs or extraction of particular subsequences. SeqVISTA is able to display results from diverse sequence analysis tools in an integrated fashion, and aims to provide much-needed unity to the bioinformatics resources scattered around the Internet. Our Viewer may be launched on a GenBank record by a single click of a button installed in the web browser. SeqVISTA allows insights to be gained by Viewing the totality of sequence annotations and predictions, which may be more revealing than the sum of their parts. SeqVISTA runs on any operating system with a Java 1.4 virtual machine. It is freely available to academic users at http://zlab.bu.edu/SeqVISTA .
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SeqVISTA: a Graphical tool for sequence feature visualization and comparison
BMC Bioinformatics, 2003Co-Authors: Martin Frith, Tianhua Niu, Zhiping WengAbstract:Background Many readers will sympathize with the following story. You are Viewing a gene sequence in Entrez, and you want to find whether it contains a particular sequence motif. You reach for the browser's "find in page" button, but those darn spaces every 10 bp get in the way. And what if the motif is on the opposite strand? Subsequently, your favorite sequence analysis software informs you that there is an interesting feature at position 13982–14013. By painstakingly counting the 10 bp blocks, you are able to examine the sequence at this location. But now you want to see what other features have been annotated close by, and this information is buried several screenfuls higher up the web page. Results SeqVISTA presents a holistic, Graphical View of features annotated on nucleotide or protein sequences. This interactive tool highlights the residues in the sequence that correspond to features chosen by the user, and allows easy searching for sequence motifs or extraction of particular subsequences. SeqVISTA is able to display results from diverse sequence analysis tools in an integrated fashion, and aims to provide much-needed unity to the bioinformatics resources scattered around the Internet. Our Viewer may be launched on a GenBank record by a single click of a button installed in the web browser. Conclusion SeqVISTA allows insights to be gained by Viewing the totality of sequence annotations and predictions, which may be more revealing than the sum of their parts. SeqVISTA runs on any operating system with a Java 1.4 virtual machine. It is freely available to academic users at http://zlab.bu.edu/SeqVISTA .
David M Blei - One of the best experts on this subject based on the ideXlab platform.
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multiple causes a causal Graphical View
arXiv: Machine Learning, 2019Co-Authors: Yixin Wang, David M BleiAbstract:Unobserved confounding is a major hurdle for causal inference from observational data. Confounders---the variables that affect both the causes and the outcome---induce spurious non-causal correlations between the two. Wang & Blei (2018) lower this hurdle with "the blessings of multiple causes," where the correlation structure of multiple causes provides indirect evidence for unobserved confounding. They leverage these blessings with an algorithm, called the deconfounder, that uses probabilistic factor models to correct for the confounders. In this paper, we take a causal Graphical View of the deconfounder. In a graph that encodes shared confounding, we show how the multiplicity of causes can help identify intervention distributions. We then justify the deconfounder, showing that it makes valid inferences of the intervention. Finally, we expand the class of graphs, and its theory, to those that include other confounders and selection variables. Our results expand the theory in Wang & Blei (2018), justify the deconfounder for causal graphs, and extend the settings where it can be used.
Rizk Carl - One of the best experts on this subject based on the ideXlab platform.
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Contribution à l’évaluation et à l’optimisation du contrôle des passagers dans les aéroports
2019Co-Authors: Rizk CarlAbstract:Les menaces à la sécurité sont apparues au cours des dernières décennies comme un problème de plus en plus critique pour le transport aérien, qui est l'un des principaux levier de la mondialisation de l'Économie. Des mesures de contrôle renforcées reposant sur des recherches pluridisciplinaires et sur de nouvelles technologies ont été mises en oeuvre dans les aéroports en réaction à différentes attaques terroristes. Du point de vue scientifique, le filtrage efficace des passagers dans les aéroports reste un défi et l’objectif principal de cette thèse est d’ouvrir de nouvelles pistes de recherche dans ce domaine en développant des approches avancées utilisant les ressources de la science informatique. Tout d’abord, cette thèse présente les principaux concepts et définitions de la sécurité dans les aéroports et donne un aperçu des systèmes de contrôle des terminaux de passagers, et plus précisément des postes d’inspection-filtrage qui sont identifiés et décrits. Un modèle logique du système de contrôle des départs des passagers d’un aéroport est proposé. Ce modèle est transcrit en graphiquement (Controlled Satisfiability Graph- CSG), ce qui permet de tester le système de filtrage sous différents scénarios d’attaque. Ensuite, une approche probabiliste pour l’évaluation du système de contrôle des flux de passagers au départ est développée, conduisant à l’introduction des réseaux de Petri colorés Bayésiens (BCPN). Enfin, une approche d'optimisation est adoptée pour organiser au mieux les flux de passagers au contrôle de départ compte tenu de la performance probabiliste des éléments composant le système de contrôle. Après la mise en place d'un modèle d'évaluation global basé sur un traitement en série indifférencié des passagers, une structure de contrôle en deux étapes est analysée, qui met en évidence l'intérêt du pré-filtrage et de l'organisation des passagers en groupes distincts. La conclusion de cette étude indique la poursuite de ce thème.Security threats have emerged in the past decades as a more and more critical issue for Air Transportation which has been one of the main ressource for globalization of economy. Reinforced control measures based on pluridisciplinary research and new technologies have been implemented at airports as a reaction to different terrorist attacks. From the scientific perspective, the efficient screening of passengers at airports remain a challenge and the main objective of this thesis is to open new lines of research in this field by developing advanced approaches using the resources of Computer Science. First this thesis introduces the main concepts and definitions of airport security and gives an overView of the passenger terminal control systems and more specifically the screening inspection positions are identified and described. A logical model of the departure control system for passengers at an airport is proposed. This model is transcribed into a Graphical View (Controlled Satisfiability Graph-CSG) which allows to test the screening system with different attack scenarios. Then a probabilistic approach for the evaluation of the control system of passenger flows at departure is developped leading to the introduction of Bayesian Colored Petri nets (BCPN). Finally an optimization approach is adopted to organize the flow of passengers at departure as best as possible given the probabilistic performance of the elements composing the control system. After the establishment of a global evaluation model based on an undifferentiated serial processing of passengers, is analyzed a two-stage control structure which highlights the interest of pre-filtering and organizing the passengers into separate groups. The conclusion of this study points out for the continuation of this theme
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Contribution à l'évaluation et à l'optimisation des contrôles de passagers dans les aéroports
HAL CCSD, 2019Co-Authors: Rizk CarlAbstract:Security threats have emerged in the past decades as a more and more critical issue for Air Transportation which has been one of the main ressource for globalization of economy. Reinforced control measures based on pluridisciplinary research and new technologies have been implemented at airports as a reaction to different terrorist attacks. From the scientific perspective, the efficient screening of passengers at airports remain a challenge and the main objective of this thesis is to open new lines of research in this field by developing advanced approaches using the resources of Computer Science. First this thesis introduces the main concepts and definitions of airport security and gives an overView of the passenger terminal control systems and more specifically the screening inspection positions are identified and described. A logical model of the departure control system for passengers at an airport is proposed. This model is transcribed into a Graphical View (Controlled Satisfiability Graph-CSG) which allows to test the screening system with different attack scenarios. Then a probabilistic approach for the evaluation of the control system of passenger flows at departure is developped leading to the introduction of Bayesian Colored Petri nets (BCPN). Finally an optimization approach is adopted to organize the flow of passengers at departure as best as possible given the probabilistic performance of the elements composing the control system. After the establishment of a global evaluation model based on an undifferentiated serial processing of passengers, is analyzed a two-stage control structure which highlights the interest of pre-filtering and organizing the passengers into separate groups. The conclusion of this study points out for the continuation of this theme.Les menaces à la sécurité sont apparues au cours des dernières décennies comme un problème de plus en plus critique pour le transport aérien, qui est l'un des principaux levier de la mondialisation de l' Économie. Des mesures de contrôle renforcées reposant sur des recherches pluridisciplinaires et sur de nouvelles technologies ont été mises en œuvre dans les aéroports en réaction à différentes attaques terroristes. Du point de vue scientifique, le filtrage efficace des passagers dans les aéroports reste un défi et l’objectif principal de cette thèse est d’ouvrir de nouvelles pistes de recherche dans ce domaine en développant des approches avancées utilisant les ressources de la science informatique. Tout d’abord, cette thèse présente les principaux concepts et définitions de la sécurité dans les aéroports et donne un aperçu des systèmes de contrôle des terminaux de passagers, et plus précisément des postes d’inspection - filtrage qui sont identifiés et décrits. Un modèle logique du système de contrôle des départs des passagers d’un aéroport est proposé. Ce modèle est transcrit en graphique ment (Controlled Satisfiability Graph - CSG) , ce qui permet de tester le système de filtrage sous différents scénarios d’attaque. Ensuite, une approche probabiliste pour l’évaluation du système de contrôle des flux de passagers au départ est développée, conduisant à l’introduction des réseaux de Petri colorés Bayésiens (BCPN). Enfin, une approche d'optimisation est adoptée pour organiser au mieux les flux de passagers au contrôle de départ compte tenu de la performance probabiliste des éléments composant le système de contrôle. Après la mise en place d'un modèle d'évaluation global basé sur un traitement en série indifférencié des passagers, une structure de contrôle en deux étapes est analysée, qui met en évidence l'intérêt du pré - filtrage et de l'organisation des passagers en groupes distincts. La conclusion de cette étude indique la poursuite de ce thèm
Narsa U Reddy - One of the best experts on this subject based on the ideXlab platform.
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securing data using Graphical View of encrypted data
International Journal of Research, 2018Co-Authors: A Vijetha, Mounika K Ram, Dv Sravya, Narsa U ReddyAbstract:Searchable encryption is an important research area in cloud computing. However, most existing efficient and reliable ciphertext search schemes are based on keywords or shallow syntactic parsing, which are not smart enough to meet with users’ search intention. Therefore, in this paper, we propose a content-aware search scheme, which can make syntactic search more smart. First, we introduce conceptual graphs (GRAPHs) as a knowledge representation tool. Then, we present our two schemes (PRSGRAPH and PRSGRAPH-TF) based on GRAPHs according to different scenarios. In order to conduct numerical calculation, we transfer original GRAPHs into their linear form with some modifi- cation and map them to numerical vectors. Second, we employ the technology of multi-keyword ranked search over encrypted cloud data as the basis against two threat models and raise PRSGRAPH and PRSGRAPH-TF to resolve the problem of privacy-preserving smart syntactic search based on GRAPHs. Finally, we choose a real-world data set: CNN data set to test our scheme. We also analyze the privacy and efficiency of proposed schemes in detail. The experiment results show that our proposed schemes are efficient. Index Terms— Searchable encryption, cloud computing, smart syntactic search, conceptual graphs.
Chris J Groveskirkby - One of the best experts on this subject based on the ideXlab platform.
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lorenz curve and gini coefficient novel tools for analysing seasonal variation of environmental radon gas
Journal of Environmental Management, 2009Co-Authors: Chris J Groveskirkby, Anthony R Denman, Paul S PhillipsAbstract:Abstract Using a methodology derived from Economics, the Lorenz Curve and Gini Coefficient are introduced as tools for investigating and quantifying seasonal variability in environmental radon gas concentration. While the Lorenz Curve presents a Graphical View of the cumulative exposure during the course of the time-frame of interest, typically one year, the Gini Coefficient distils this data still further, to provide a single-parameter measure of temporal clustering. Using the assumption that domestic indoor radon concentrations show annual cyclic behaviour, generally higher in the winter months than in summer, published data on seasonal variability of domestic radon concentration levels, in various areas of the UK, Europe, Asia and North America, are analysed. The results demonstrate significantly different annual variation profiles between domestic radon concentrations in different countries and between regions within a country, highlighting the need for caution in ascribing seasonal correction factors to extended geoGraphical areas. The underlying geography, geology and meteorology of a region have defining influences on the seasonal variability of domestic radon concentration, and some examples of potential associations between the Gini Coefficient and regional geological and geoGraphical characteristics are proposed. Similar differences in annual variation profiles are found for soil-gas radon measured as a function of depth at a common site, and among the activity levels of certain radon progeny species, specifically 214 Bi deposited preferentially in human body-fat by decay of inhaled radon gas. Conclusions on the association between these observed measures of variation and potential underlying defining parameters are presented.
