Filters








47 Hits in 1.5 sec

The State of the Art in Multilayer Network Visualization [article]

Mohammad Ghoniem, Guy Melançon (LaBRI, UB), Benoit Otjacques
2019 arXiv   pre-print
[47] Mohammad Ghoniem, Hadrien Cambazard, [40] Manuel Freire, Catherine Plaisant, Ben Shnei- Jean-Daniel Fekete, and Narendra Jussien. derman, and Jen Golbeck.  ...  ACM. [41] David CY Fung, Seok-Hee Hong, Dirk [48] Mohammad Ghoniem, Jean-Daniel Fekete, and Koschützki, Falk Schreiber, and Kai Xu. Visual Philippe Castagliola.  ... 
arXiv:1902.06815v1 fatcat:2hcdgae4dnctzkd2uiyf4cohqu

Visual analytics for network security

Georgiy Shurkhovetskyy, Ahmed Bahey, Mohammad Ghoniem
2012 2012 IEEE Conference on Visual Analytics Science and Technology (VAST)  
To visualize the VAST 2012 Mini Challenge 2 datasets, we use the InfoVis Toolkit (IVTK). Custom visualizations as well as extra interaction capabilities have been added to the toolkit. Custom-made Python scripts are used for data preprocessing purposes. In this work, we show how visualization tools may be combined to leverage network forensic analysis tasks.
doi:10.1109/vast.2012.6400506 dblp:conf/ieeevast/ShurkhovetskyyBG12 fatcat:hcw2cya7n5esppivcllasp3b7m

NewsLab: Exploratory Broadcast News Video Analysis

Mohammad Ghoniem, Dongning Luo, Jing Yang, William Ribarsky
2007 2007 IEEE Symposium on Visual Analytics Science and Technology  
In this paper, we introduce NewsLab, an exploratory visualization approach for the analysis of large scale broadcast news video collections containing many thousands of news stories over extended periods of time. A river metaphor is used to depict the thematic changes of the news over time. An interactive lens metaphor allows the playback of fine-grained video segments selected through the river overview. Multi-resolution navigation is supported via a hierarchical time structure as well as a
more » ... rarchical theme structure. Themes can be explored hierarchically according to their thematic structure, or in an unstructured fashion using various ranking criteria. A rich set of interactions such as filtering, drill-down/roll-up navigation, history animation, and keyword based search are also provided. Our case studies show how this set of tools can be used to find emerging topics in the news, compare different broadcasters, or mine the news for topics of interest.
doi:10.1109/vast.2007.4389005 dblp:conf/ieeevast/GhoniemLYR07 fatcat:ft5ay3av6jgdvhzmj2r7flbdjq

Transcriptomic profiling of hemp bast fibres at different developmental stages

Gea Guerriero, Marc Behr, Sylvain Legay, Lauralie Mangeot-Peter, Simone Zorzan, Mohammad Ghoniem, Jean-Francois Hausman
2017 Scientific Reports  
Bast fibres are long extraxylary cells which mechanically support the phloem and they are divided into xylan-and gelatinous-type, depending on the composition of their secondary cell walls. The former, typical of jute/kenaf bast fibres, are characterized by the presence of xylan and a high degree of lignification, while the latter, found in tension wood, as well as flax, ramie and hemp bast fibres, have a high abundance of crystalline cellulose. During their differentiation, bast fibres undergo
more » ... specific developmental stages: the cells initially elongate rapidly by intrusive growth, subsequently they cease elongation and start to thicken. The goal of the present study is to provide a transcriptomic close-up of the key events accompanying bast fibre development in textile hemp (Cannabis sativa L.), a fibre crop of great importance. Bast fibres have been sampled from different stem regions. The developmental stages corresponding to active elongation and cell wall thickening have been studied using RNA-Seq. The results show that the fibres sampled at each stem region are characterized by a specific transcriptomic signature and that the major changes in cell wall-related processes take place at the internode containing the snap point. The data generated also identify several interesting candidates for future functional analysis. Published: xx xx xxxx OPEN www.nature.com/scientificreports/ 2 Scientific RepoRts | 7: 4961 |
doi:10.1038/s41598-017-05200-8 pmid:28694530 pmcid:PMC5504027 fatcat:dnlecng7zredhhuhf5qwlldkk4

Visual exploration of topic variants through a hybrid biclustering approach

Nicolas Médoc, Mohammad Ghoniem, Mohamed Nadif
2016 Actes de la 28ième conférence francophone sur l'Interaction Homme-Machine on - IHM '16  
Les poids et les coordonnées 2D servent à générer une vue Weighted Map, une variante de Treemap proposée par Ghoniem et al. [19] pour des données hiérarchiques géo-référencées.  ... 
doi:10.1145/3004107.3004116 dblp:conf/ihm/MedocGN16 fatcat:2rnvmp55djcgfhhbe2go35h7m4

A methodology for multilayer networks analysis in the context of open and private data: biological application

Maria Malek, Simone Zorzan, Mohammad Ghoniem
2020 Applied Network Science  
Recently, an increasing body of work investigates networks with multiple types of links. Variants of such systems have been examined decades ago in disciplines such as sociology and engineering, but only recently have they been unified within the framework of multilayer networks. In parallel, many aspects of real systems are increasingly and routinely sensed, measured and described, resulting in many private, but also open data sets. In many domains publicly available repositories of open data
more » ... ets constitute a great opportunity for domain experts to contextualise their privately generated data compared to publicly available data in their domain. We propose in this paper a methodology for multilayer network analysis in order to provide domain experts with measures and methods to understand, evaluate and complete their private data by comparing and/or combining them with open data when both are modelled as multilayer networks. We illustrate our methodology through a biological application where interactions between molecules are extracted from open databases and modelled by a multilayer network and where private data are collected experimentally. This methodology helps biologists to compare their private networks with the open data, to assess the connectivity between the molecules across layers and to compute the distribution of the identified molecules in the open network. In addition, the shortest paths which are biologically meaningful are also analysed and classified.
doi:10.1007/s41109-020-00277-z fatcat:5wm5l5t6lrcxjnusvvbzlypmhy

Visualisation de graphes de co-activité par matrices d'adjacence

Mohammad Ghoniem, Jean-Daniel Fekete
2002 Proceedings of the 14th French-speaking conference on Human-computer interaction (Conf?rence Francophone sur l'Interaction Homme-Machine) - IHM '02  
RESUME Cet article décrit l'utilisation de matrices d'adjacence pour la visualisation de graphes de co-activité tels que les graphes d'interaction au sein de communautés. Nous décrivons leur utilisation pour la compréhension et l'analyse de programmes par contraintes. Nous montrons que l'usage de matrices d'adjacence pour visualiser le graphe variables-contraintes du problème étudié permet de voir la modélisation du problème et de comparer l'activité dans diverses parties du graphe au fil de la
more » ... résolution. ABSTRACT This paper describes the use of adjacency matrices for the visualization of co-activity graphs such as social networks. We describe their use for analysing and understanding constraint-oriented programs. We show that the use of adjacency matrices for the visualization of the variables vs. constraints graph makes it possible to visualize how the problem was modeled and to compare the activity in various regions of the graph while the problem is being solved.
doi:10.1145/777005.777054 dblp:conf/ihm/GhoniemF02 fatcat:xqv5hozebfcyxcwockg4oz3ena

ICoVeR – an interactive visualization tool for verification and refinement of metagenomic bins

Bertjan Broeksema, Magdalena Calusinska, Fintan McGee, Klaas Winter, Francesco Bongiovanni, Xavier Goux, Paul Wilmes, Philippe Delfosse, Mohammad Ghoniem
2017 BMC Bioinformatics  
Recent advances in high-throughput sequencing allow for much deeper exploitation of natural and engineered microbial communities, and to unravel so-called "microbial dark matter" (microbes that until now have evaded cultivation). Metagenomic analyses result in a large number of genomic fragments (contigs) that need to be grouped (binned) in order to reconstruct draft microbial genomes. While several contig binning algorithms have been developed in the past 2 years, they often lack consensus.
more » ... thermore, these software tools typically lack a provision for the visualization of data and bin characteristics. Results: We present ICoVeR, the Interactive Contig-bin Verification and Refinement tool, which allows the visualization of genome bins. More specifically, ICoVeR allows curation of bin assignments based on multiple binning algorithms. Its visualization window is composed of two connected and interactive main views, including a parallel coordinates view and a dimensionality reduction plot. To demonstrate ICoVeR's utility, we used it to refine disparate genome bins automatically generated using MetaBAT, CONCOCT and MyCC for an anaerobic digestion metagenomic (AD microbiome) dataset. Out of 31 refined genome bins, 23 were characterized with higher completeness and lower contamination in comparison to their respective, automatically generated, genome bins. Additionally, to benchmark ICoVeR against a previously validated dataset, we used Sharon's dataset representing an infant gut metagenome. Conclusions: ICoVeR is an open source software package that allows curation of disparate genome bins generated with automatic binning algorithms. It is freely available under the GPLv3 license at https://git.list.lu/eScience/ICoVeR. The data management and analytical functions of ICoVeR are implemented in R, therefore the software can be easily installed on any system for which R is available. Installation and usage guide together with the example files ready to be visualized are also provided via the project wiki. ICoVeR running instance preloaded with AD microbiome and Sharon's datasets can be accessed via the website.
doi:10.1186/s12859-017-1653-5 pmid:28464793 pmcid:PMC5414344 fatcat:xrruzey3ajdcll3xhqlofalnqm

Scalable and Interactive Visual Analysis of Financial Wire Transactions for Fraud Detection

Remco Chang, Alvin Lee, Mohammad Ghoniem, Robert Kosara, William Ribarsky, Jing Yang, Evan Suma, Caroline Ziemkiewicz, Daniel Kern, Agus Sudjianto
2008 Information Visualization  
Large financial institutions such as Bank of America handle hundreds of thousands of wire transactions per day. Although most transactions are legitimate, these institutions have legal and financial obligations in discovering those that are suspicious. With the methods of fraudulent activities ever changing, searching on predefined patterns is often insufficient in detecting previously undiscovered methods. In this paper, we present a set of coordinated visualizations based on identifying
more » ... ic keywords within the wire transactions. The different views used in our system depict relationships among keywords and accounts over time. Furthermore, we introduce a search-by-example technique which extracts accounts that show similar transaction patterns. Our system can be connected to a database to handle millions of transactions and still preserve high interactivity. In collaboration with the Anti-Money Laundering division at Bank of America, we demonstrate that using our tool, investigators are able to detect accounts and transactions that exhibit suspicious behaviors.
doi:10.1057/palgrave.ivs.9500172 fatcat:mcdljkohlvhv7i66ww3cvjlloe

Peeking in solver strategies using explanations visualization of dynamic graphs for constraint programming

Mohammad Ghoniem, Hadrien Cambazard, Jean-Daniel Fekete, Narendra Jussien
2005 Proceedings of the 2005 ACM symposium on Software visualization - SoftVis '05  
In [Ghoniem, Jussien and Fekete 2004] , we have shown that a matrix-based representation can be used to effectively grasp the structure of a co-activity graph and assess the activity taking place across  ... 
doi:10.1145/1056018.1056022 dblp:conf/softvis/GhoniemCFJ05 fatcat:7lxu5h672za7vjwidvmcfhkkxq

Time-Lag Selection for Time-Series Forecasting Using Neural Network and Heuristic Algorithm

Ola Surakhi, Martha A. Zaidan, Pak Lun Fung, Naser Hossein Motlagh, Sami Serhan, Mohammad AlKhanafseh, Rania M. Ghoniem, Tareq Hussein
2021 Electronics  
The time-series forecasting is a vital area that motivates continuous investigate areas of intrigued for different applications. A critical step for the time-series forecasting is the right determination of the number of past observations (lags). This paper investigates the forecasting accuracy based on the selection of an appropriate time-lag value by applying a comparative study between three methods. These methods include a statistical approach using auto correlation function, a well-known
more » ... chine learning technique namely Long Short-Term Memory (LSTM) along with a heuristic algorithm to optimize the choosing of time-lag value, and a parallel implementation of LSTM that dynamically choose the best prediction based on the optimal time-lag value. The methods were applied to an experimental data set, which consists of five meteorological parameters and aerosol particle number concentration. The performance metrics were: Mean Absolute Error (MAE), Root Mean Square Error (RMSE), Mean Absolute Percentage Error (MAPE) and R-squared. The investigation demonstrated that the proposed LSTM model with heuristic algorithm is the superior method in identifying the best time-lag value.
doi:10.3390/electronics10202518 doaj:77f2f613a1f04665b49536305d70bb4f fatcat:sdkq6vojvrbmdczwcyl3yfltie

WireVis: Visualization of Categorical, Time-Varying Data From Financial Transactions

Remco Chang, Mohammad Ghoniem, Robert Kosara, William Ribarsky, Jing Yang, Evan Suma, Caroline Ziemkiewicz, Daniel Kern, Agus Sudjianto
2007 2007 IEEE Symposium on Visual Analytics Science and Technology  
Large financial institutions such as Bank of America handle hundreds of thousands of wire transactions per day. Although most transactions are legitimate, these institutions have legal and financial obligations in discovering those that are suspicious. With the methods of fraudulent activities ever changing, searching on predefined patterns is often insufficient in detecting previously undiscovered methods. In this paper, we present a set of coordinated visualizations based on identifying
more » ... ic keywords within the wire transactions. The different views used in our system depict relationships among keywords and accounts over time. Furthermore, we introduce a search-by-example technique which extracts accounts that show similar transaction patterns. In collaboration with the Anti-Money Laundering division at Bank of America, we demonstrate that using our tool, investigators are able to detect accounts and transactions that exhibit suspicious behaviors.
doi:10.1109/vast.2007.4389009 dblp:conf/ieeevast/ChangGKRYSZKS07 fatcat:zqgctbvygrebhfggq5zd6myrqa

M-QuBE3: Querying Big Multilayer Graph by Evolutive Extraction and Exploration

Antoine Laumond, Guy Melançon, Bruno Pinaud, Mohammad Ghoniem
2019 IS&T International Symposium on Electronic Imaging Science and Technology  
Although node-link representations of graphs are widespread and even sometimes preferred to other approaches, they suffer from obvious limitations when graphs become large or dense, inducing visual cluttering and impeding the traditional visual information seeking process. This article presents a new strategy of exploration particularly suitable when graphs are large and dense. Users iteratively drive the exploration through the visualization of small sub-networks of interest. Our technique is
more » ... articularly useful with multilayer networks, where layers typically combine into a large and dense network. Our iterative exploration process called M-QuBE 3 computes a score for each node of a graph based on structural and semantic information where more interesting nodes from a user point of view have higher scores. This in turn translates into a procedure to select sub-networks of interest. Within each sub-network, the user can select nodes to enhance the semantic context (and thus impact their interest score) and iteratively refine the exploration towards more relevant sub-networks. The M-QuBE 3 process natively handles multilayer network and allows the use of layers as a semantic apparatus when driving the navigation.
doi:10.2352/issn.2470-1173.2019.1.vda-686 fatcat:e6zclghwivfcdkuesaiwbbebga

The TITAN-II reversed-field-pinch fusion-power-core design

Clement P.C. Wong, Steven P. Grotz, Farrokh Najmabadi, James P. Blanchard, Edward T. Cheng, Patrick I.H. Cooke, Richard L. Creedon, Nasr M. Ghoniem, Paul J. Gierszewski, Mohammad Z. Hasan, Rodger C. Martin, Kenneth R. Schultz (+3 others)
1993 Fusion engineering and design  
TITAN-II is a compact, high-power-density reversed-field pinch fusion power reactor design based on the aqueous lithium solution fusion power core concept. The selected breeding and structural materials are LiNO 3 and 9-C low activation ferritic steel, respectively. TITAN-II is a viable alternative to the TITAN-I lithium self-cooled design for the reversed-field pinch reactor to operate at a neutron wall loading of 18 MW/m 2. Submerging the complete fusion power core and the primary loop in a
more » ... rge pool of cool water will minimize the probability of radioactivity release. Since the protection of the large pool integrity is the only requirement for the protection of the public, TITAN-II is a level 2 of passive safety assurance design. defined [2] as the ratio of the net electric power to the mass of the FPC, which includes the plasma chamber, first wall, blanket, shield, magnets, and related structure. The increase in MPD is achieved by increasing the plasma power density and neutron wall loading, by reducing the size and mass of the FPC through decreasing the blanket and shield thicknesses and using resistive magnet coils, as well as by increasing the blanket energy multiplication. A compact reactor, therefore, strives toward a system with an FPC comparable in mass and volume to the heat sources of alternative fission power plants, with MPDs ranging from 500 to 1000 kWe/tonne and competitive cost of energy. Other potential benefits for compact systems can be envisaged in addition to improved economics. The FPC cost in a compact reactor is a small portion of the plant cost and, therefore, the economics of the reactor will be less sensitive to changes in the unit cost of FPC components or the plasma performance. Moreover, since a high-MPD FPC is smaller and cheaper, a rapid development program at lower cost should be possible, changes in the FPC design will not introduce large cost penalties, and the economics of learning curves can be readily exploited throughout the plant life.
doi:10.1016/0920-3796(93)90130-a fatcat:rcmn3v7zofgynceg2robogntzq

The TITAN-I reversed-field-pinch fusion-power-core design

Farrokh Najmabadi, Clement P.C. Wong, Steven P. Grotz, Kenneth R. Schultz, Edward T. Cheng, Patrick I.H. Cooke, Richard L. Creedon, Nasr M. Ghoniem, Robert A. Krakowski, Mohammad Z. Hasan, Rodger C. Martin, James P. Blanchard (+5 others)
1993 Fusion engineering and design  
TITAN-II is a compact, high-power-density reversed-field pinch fusion power reactor design based on the aqueous lithium solution fusion power core concept. The selected breeding and structural materials are LiNO 3 and 9-C low activation ferritic steel, respectively. TITAN-II is a viable alternative to the TITAN-I lithium self-cooled design for the reversed-field pinch reactor to operate at a neutron wall loading of 18 MW/m 2. Submerging the complete fusion power core and the primary loop in a
more » ... rge pool of cool water will minimize the probability of radioactivity release. Since the protection of the large pool integrity is the only requirement for the protection of the public, TITAN-II is a level 2 of passive safety assurance design. defined [2] as the ratio of the net electric power to the mass of the FPC, which includes the plasma chamber, first wall, blanket, shield, magnets, and related structure. The increase in MPD is achieved by increasing the plasma power density and neutron wall loading, by reducing the size and mass of the FPC through decreasing the blanket and shield thicknesses and using resistive magnet coils, as well as by increasing the blanket energy multiplication. A compact reactor, therefore, strives toward a system with an FPC comparable in mass and volume to the heat sources of alternative fission power plants, with MPDs ranging from 500 to 1000 kWe/tonne and competitive cost of energy. Other potential benefits for compact systems can be envisaged in addition to improved economics. The FPC cost in a compact reactor is a small portion of the plant cost and, therefore, the economics of the reactor will be less sensitive to changes in the unit cost of FPC components or the plasma performance. Moreover, since a high-MPD FPC is smaller and cheaper, a rapid development program at lower cost should be possible, changes in the FPC design will not introduce large cost penalties, and the economics of learning curves can be readily exploited throughout the plant life.
doi:10.1016/0920-3796(93)90125-2 fatcat:22wg4r5ffreublbrkgcruhejk4
« Previous Showing results 1 — 15 out of 47 results