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See detailEnhanced metric regularity and Lipschitzian properties of variational systems
Aragón Artacho, Francisco Javier UL; Mordukhovich, B. S.

in Journal of Global Optimization (2011), 50(1), 145-167

This paper mainly concerns the study of a large class of variational systems governed by parametric generalized equations, which encompass variational and hemivariational inequalities, complementarity ... [more ▼]

This paper mainly concerns the study of a large class of variational systems governed by parametric generalized equations, which encompass variational and hemivariational inequalities, complementarity problems, first-order optimality conditions, and other optimization-related models important for optimization theory and applications. An efficient approach to these issues has been developed in our preceding work (Aragón Artacho and Mordukhovich in Nonlinear Anal 72:1149–1170, 2010) establishing qualitative and quantitative relationships between conventional metric regularity/subregularity and Lipschitzian/calmness properties in the framework of parametric generalized equations in arbitrary Banach spaces. This paper provides, on one hand, significant extensions of the major results in op.cit. to partial metric regularity and to the new hemiregularity property. On the other hand, we establish enhanced relationships between certain strong counterparts of metric regularity/hemiregularity and single-valued Lipschitzian localizations. The results obtained are new in both finite-dimensional and infinite-dimensional settings. [less ▲]

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See detailEnhanced Raman Investigation of Cell Membrane and Intracellular Compounds by 3D Plasmonic Nanoelectrode Arrays
Caprettini, Valeria; Huang, Jian-An; Moia, Fabio et al

in Advanced Science (2018), 5(12), 1800560

3D nanostructures are widely exploited in cell cultures for many purposes such as controlled drug delivery, transfection, intracellular sampling, and electrical recording. However, little is known about ... [more ▼]

3D nanostructures are widely exploited in cell cultures for many purposes such as controlled drug delivery, transfection, intracellular sampling, and electrical recording. However, little is known about the interaction of the cells with these substrates, and even less about the effects of electroporation on the cellular membrane and the nuclear envelope. This work exploits 3D plasmonic nanoelectrodes to study, by surface-enhanced Raman scattering (SERS), the cell membrane dynamics on the nanostructured substrate before, during, and after electroporation. In vitro cultured cells tightly adhere on 3D plasmonic nanoelectrodes precisely in the plasmonic hot spots, making this kind of investigation possible. After electroporation, the cell membrane dynamics are studied by recording the Raman time traces of biomolecules in contact or next to the 3D plasmonic nanoelectrode. During this process, the 3D plasmonic nanoelectrodes are intracellularly coupled, thus enabling the monitoring of different molecular species, including lipids, proteins, and nucleic acids. Scanning electron microscopy cross-section analysis evidences the possibility of nuclear membrane poration compatible with the reported Raman spectra. These findings may open a new route toward controlled intracellular sampling and intranuclear delivery of genic materials. They also show the possibility of nuclear envelope disruption which may lead to negative side effects. [less ▲]

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See detailEnhanced recovery techniques for accurate evaluation of error estimates in FE aproximations
González-Estrada, O. A.; Ródenas, J. J.; Bordas, Stéphane UL et al

in Laghrouche, O; El Kacimi, A; Woodwaed, P (Eds.) et al 19th UK National Conference of the Association for Computational Mechanics in Engineering (2011)

When modelling critical structures, it is crucial to rationally assess the outcome of numerical simu- lations. Specifically, error estimation strategies are key tools in critical decision-based processes ... [more ▼]

When modelling critical structures, it is crucial to rationally assess the outcome of numerical simu- lations. Specifically, error estimation strategies are key tools in critical decision-based processes. The development of design tools that enhance performance of the final product and give reliability on the calculations is essential in todays industrial environment, which increasingly seeks to reduce develop- ment times for new products while improving the quality. During the last years there has been an increasing interest on the use of error estimates which help to measure and control the error committed in standard or enriched finite element approximations. The error can be defined in terms of energy norm or in quantities relevant for design purposes (such as the mean stress value in a particular area, displacements, the stress intensity factor for fracture problems). In this work, we discuss the use of different a posteriori recovery techniques to evaluate error estimates for different finite element (FE) approximations. These techniques are based on equilibrated supercon- vergent patch recovery or equilibrated moving least squares procedures and can be used in smooth or singular problems. Numerical results show the capabilities of the proposed techniques to provide good error estimates. [less ▲]

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See detailEnhanced Schottky Barriers on n-In.53Ga.47As Using pInGaAs, GaAs, InP and InGaP Surface layers
Kordoš, P.; Marso, Michel UL; Meyer, R. et al

in Proceedings of the 4th International Conference on InP and Related Compounds, Newport, Rhode Island, USA (1992)

Detailed reference viewed: 13 (0 UL)
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See detailEnhanced Service Delivery for Cognitive Systems within Multiple Antenna Scenarios
Hassouneh, Nesreen; Alodeh, Maha UL

in IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (2013, December)

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See detailEnhanced Sketchnoting through Semantic Integration of Learning Material
Atashpendar, Aryobarzan UL; Grevisse, Christian UL; Rothkugel, Steffen UL

in Applied Informatics (2019, November)

Within the transition from pen-and-paper to digital solutions, many tablet-based note-taking apps have been developed. In addition, sketchnoting, a highly visual form of note-taking, has gained in ... [more ▼]

Within the transition from pen-and-paper to digital solutions, many tablet-based note-taking apps have been developed. In addition, sketchnoting, a highly visual form of note-taking, has gained in popularity, especially in teaching and learning. While current solutions already reduce the burden of organizing and searching through stacks of paper, they provide little support in finding additional information related to the notes, and search capabilities are mostly limited to textual queries and content. In this paper, we present a novel solution for digital sketchnoting aimed at enhancing the learning experience of students. In addition to common capabilities such as handwriting recognition, our note-taking app integrates semantic annotation and drawing recognition. Handwritten notes are recognized and passed through concept recognition and entity linking tools to enable a knowledge graph-based integration of contextually relevant learning resources. We extend traditional search capabilities by including the semantic metadata from the related material as well as enabling visual queries to find recognized sketches. Finally, resembling the exchange of paper notes among students, our app allows to share the semantically enhanced notes with other devices. [less ▲]

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See detailEnhanced Thermal Process Engineering by the Extended Discrete Element Method (XDEM)
Peters, Bernhard UL; Besseron, Xavier UL; Estupinan Donoso, Alvaro Antonio UL et al

in Universal Journal of Engineering Science (2013), 1

A vast number of engineering applications <br />include a continuous and discrete phase simultaneously, <br />and therefore, cannot be solved accurately by continu- <br />ous or discrete approaches only ... [more ▼]

A vast number of engineering applications <br />include a continuous and discrete phase simultaneously, <br />and therefore, cannot be solved accurately by continu- <br />ous or discrete approaches only. Problems that involve <br />both a continuous and a discrete phase are important <br />in applications as diverse as pharmaceutical industry <br />e.g. drug production, agriculture food and process- <br />ing industry, mining, construction and agricultural <br />machinery, metals manufacturing, energy production <br />and systems biology. A novel technique referred to as <br />Extended Discrete Element Method (XDEM) is devel- <br />oped, that o ers a signi cant advancement for coupled <br />discrete and continuous numerical simulation concepts. <br />The Extended Discrete Element Method extends the <br />dynamics of granular materials or particles as described <br />through the classical discrete element method (DEM) to <br />additional properties such as the thermodynamic state <br />or stress/strain for each particle coupled to a continuum <br />phase such as <br />uid <br />ow or solid structures. Contrary <br />to a continuum mechanics concept, XDEM aims at <br />resolving the particulate phase through the various <br />processes attached to particles. While DEM predicts <br />the spacial-temporal position and orientation for each <br />particle, XDEM additionally estimates properties such <br />as the internal temperature and/or species distribution. <br />These predictive capabilities are further extended by an <br />interaction to <br />uid <br />ow by heat, mass and momentum <br />transfer and impact of particles on structures. [less ▲]

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See detailEnhanced Trajectory-based Action Recognition using Human Pose
Papadopoulos, Konstantinos UL; Goncalves Almeida Antunes, Michel UL; Aouada, Djamila UL et al

in IEEE International Conference on Image Processing, Beijing 17-20 Spetember 2017 (2017)

Action recognition using dense trajectories is a popular concept. However, many spatio-temporal characteristics of the trajectories are lost in the final video representation when using a single Bag-of ... [more ▼]

Action recognition using dense trajectories is a popular concept. However, many spatio-temporal characteristics of the trajectories are lost in the final video representation when using a single Bag-of-Words model. Also, there is a significant amount of extracted trajectory features that are actually irrelevant to the activity being analyzed, which can considerably degrade the recognition performance. In this paper, we propose a human-tailored trajectory extraction scheme, in which trajectories are clustered using information from the human pose. Two configurations are considered; first, when exact skeleton joint positions are provided, and second, when only an estimate thereof is available. In both cases, the proposed method is further strengthened by using the concept of local Bag-of-Words, where a specific codebook is generated for each skeleton joint group. This has the advantage of adding spatial human pose awareness in the video representation, effectively increasing its discriminative power. We experimentally compare the proposed method with the standard dense trajectories approach on two challenging datasets. [less ▲]

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See detailEnhancement motivation to drink predicts binge drinking in adolescence: a longitudinal study in a community sample
Lannoy, Séverine; Dormal, Valérie; Billieux, Joël UL et al

in American Journal of Drug and Alcohol Abuse (2019), 45(3), 304-312

Background: Binge drinking, characterized by alternations between intense alcohol intakes and abstinence periods, is the most frequent alcohol consumption pattern among adolescents and has been repeatedly ... [more ▼]

Background: Binge drinking, characterized by alternations between intense alcohol intakes and abstinence periods, is the most frequent alcohol consumption pattern among adolescents and has been repeatedly associated with cognitive and cerebral impairments. Objectives: In view of these harmful consequences, it appears crucial to disentangle the psychological factors involved in the emergence of binge drinking in adolescence, and centrally the role played by drinking motives, which have been strongly related to binge drinking habits. Methods: Using a longitudinal design, the present study explored the role of drinking motives (i.e. social order, conformity, enhancement, coping) in the emergence of binge drinking among young adolescents from the community. One hundred and forty-four young adolescents (81 girls) took part in a research assessing alcohol consumption and drinking motives at two assessment times (T1 and T2), with a one-year interval. After data checking, 101 adolescents (57 girls) aged from 12 to 15 years old were included in the study. Results: Correlations showed strong relationships between drinking motives and binge drinking. Additional regression analyses were then computed to determine how drinking motives assessed at T1 predicted binge drinking at T2, while controlling for global alcohol use. Results showed that the statistical model explained 60% of the binge drinking variance. In particular, the enhancement motivation, which is related to the search for the enjoyable sensations felt when drinking alcohol, constituted the unique predictor of future binge drinking. Conversely, in contrast with previous studies, social motives did not predict binge drinking in young adolescents. Conclusion: These findings highlight the central role of enhancement motivation (e.g., focusing on the positive expectancies towards alcohol) in youths’ alcohol consumption and call for the development of preventive interventions. It also suggests that the previously reported relationship between social motives and college drinking does not seem to play a key role in the early steps of binge drinking habits. [less ▲]

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See detailEnhancement of COPD biological networks using a web-based collaboration interface
Boue, Stephanie; Fields, Brett; Hoeng, Julia et al

in F1000Research (2015), 4(32), 1-22

The construction and application of biological network models is an approach that offers a holistic way to understand biological processes involved in disease. Chronic obstructive pulmonary disease (COPD ... [more ▼]

The construction and application of biological network models is an approach that offers a holistic way to understand biological processes involved in disease. Chronic obstructive pulmonary disease (COPD) is a progressive inflammatory disease of the airways for which therapeutic options currently are limited after diagnosis, even in its earliest stage. COPD network models are important tools to better understand the biological components and processes underlying initial disease development. With the increasing amounts of literature that are now available, crowdsourcing approaches offer new forms of collaboration for researchers to review biological findings, which can be applied to the construction and verification of complex biological networks. We report the construction of 50 biological network models relevant to lung biology and early COPD using an integrative systems biology and collaborative crowd-verification approach. By combining traditional literature curation with a data-driven approach that predicts molecular activities from transcriptomics data, we constructed an initial COPD network model set based on a previously published non-diseased lung-relevant model set. The crowd was given the opportunity to enhance and refine the networks on a website (https://bionet.sbvimprover.com/) and to add mechanistic detail, as well as critically review existing evidence and evidence added by other users, so as to enhance the accuracy of the biological representation of the processes captured in the networks. Finally, scientists and experts in the field discussed and refined the networks during an in-person jamboree meeting. Here, we describe examples of the changes made to three of these networks: Neutrophil Signaling, Macrophage Signaling, and Th1-Th2 Signaling. We describe an innovative approach to biological network construction that combines literature and data mining and a crowdsourcing approach to generate a comprehensive set of COPD-relevant models that can be used to help understand the mechanisms related to lung pathobiology. Registered users of the website can freely browse and download the networks. [less ▲]

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See detailEnhancement of Dynamic Depth Scenes by Upsampling for Precise Super-Resolution (UP-SR)
Al Ismaeil, Kassem; Aouada, Djamila UL; Mirbach, Bruno et al

in Computer Vision and Image Understanding (2016)

Multi-frame super-resolution is the process of recovering a high resolution image or video from a set of captured low resolution images. Super-resolution approaches have been largely explored in 2-D ... [more ▼]

Multi-frame super-resolution is the process of recovering a high resolution image or video from a set of captured low resolution images. Super-resolution approaches have been largely explored in 2-D imaging. However, their extension to depth videos is not straightforward due to the textureless nature of depth data, and to their high frequency contents coupled with fast motion artifacts. Recently, few attempts have been introduced where only the super-resolution of static depth scenes has been addressed. In this work, we propose to enhance the resolution of dynamic depth videos with non-rigidly moving objects. The proposed approach is based on a new data model that uses densely upsampled, and cumulatively registered versions of the observed low resolution depth frames. We show the impact of upsampling in increasing the sub-pixel accuracy and reducing the rounding error of the motion vectors. Furthermore, with the proposed cumulative motion estimation, a high registration accuracy is achieved between non-successive upsampled frames with relative large motions. A statistical performance analysis is derived in terms of mean square error explaining the effect of the number of observed frames and the effect of the super-resolution factor at a given noise level. We evaluate the accuracy of the proposed algorithm theoretically and experimentally as function of the SR factor, and the level of contaminations with noise. Experimental results on both real and synthetic data show the effectiveness of the proposed algorithm on dynamic depth videos as compared to state-of-art methods. [less ▲]

Detailed reference viewed: 253 (19 UL)
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See detailEnhancement of the Schottky Barrier Height on n-InGaAs by Thin InP Interlayers
Kordoš, P.; Marso, Michel UL; Lüth, H.

in Journal of Electrical Engineering = Elektrotechnický Casopis (1992), 44(1992), 367-371

Detailed reference viewed: 33 (0 UL)
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See detailEnhancements to prepare-and-measure based QKD protocols
Ryan, Peter UL; Christianson, Bruce

in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (2013)

We propose some simple changes to a class of Quantum Key Distribution protocols. The first enhancement ensures early detection of any attempted Man-in-the-Middle attack and results in less leakage of key ... [more ▼]

We propose some simple changes to a class of Quantum Key Distribution protocols. The first enhancement ensures early detection of any attempted Man-in-the-Middle attack and results in less leakage of key material to any eavesdropping attacker. We argue that this version is at least as secure as the original BB'84 scheme, but ensures a closer binding of the key establishment and authentication components of the protocol. Further proposed enhancements lead to a doubling of the key rate, but the security arguments become more delicate. We also touch on the need to enhance the models used to analyze both the classical and quantum aspects of QKD protocols. This is prompted by the observation that existing analyses treat the quantum (key-establishment) and classical (authentication etc) phases separately and then combine them in a simple-minded fashion. [less ▲]

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See detailEnhancements to Statistical Protocol IDentification (SPID) for Self-Organised QoS in LANs
Köhnen, Christopher; Überall, Christian; Adamsky, Florian UL et al

in ICCCN 2010 Track on Network Algorithms, Performance Evaluation and Theory (NAPET) (ICCCN 2010 NAPET) (2010)

Since most real-time audio and video applications lack of QoS support, QoS demand of such IP data streams shall be detected and applied automatically. To support QoS in LANs, especially in home ... [more ▼]

Since most real-time audio and video applications lack of QoS support, QoS demand of such IP data streams shall be detected and applied automatically. To support QoS in LANs, especially in home environments, a system was developed, which enables self-organised QoS for unmanaged networks through host implementations - in contrast to traditional solutions without network support. It supports per-link reservation and prioritisation and works without a need for application support. One part of this system is an automated traffic identification and classification system, which is subject of this paper. An efficient set of attribute meters, based on the Statistical Protocol IDentification (SPID), was investigated, enhanced and evaluated. We improved the performance, added support for UDP protocols and real-time identification. It is shown that using our implementation efficient near real-time protocol identification on per-flow basis is possible to support self-organised resource reservation. [less ▲]

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See detailEnhancing CoAP Group Communication to Support mMTC Over Satellite Networks
Soua, Ridha UL; Palattella, Maria Rita UL; Stemper, André UL et al

in IEEE International Conference on Communications (ICC) (2020, June)

Massive MTC (mMTC) is one of the application scenarios that upcoming 5G networks are expected to support. Satellites come into play in mMTC to complement and extend terrestrial networks in under-served ... [more ▼]

Massive MTC (mMTC) is one of the application scenarios that upcoming 5G networks are expected to support. Satellites come into play in mMTC to complement and extend terrestrial networks in under-served areas, where several services can benefit from the adoption of a group communication model. The IETF has specifically standardized the usage of CoAP group communication. However, CoAP responses are still sent in unicast from each single CoAP server to the CoAP client, which results in a substantial traffic load. Such problem becomes more severe in integrated IoT-Satellite networks given the limited bandwidth of the satellite return channel and the large number of IoT devices in a mMTC scenario. To reduce network traffic overhead in group communication and improve the network responsiveness, this paper proposes an aggregation scheme for the CoAP group communication in combination with Observer pattern and proxying. Results obtained by using the openSAND emulator and CoAPthon library corroborate the merit of our optimization in terms of overhead reduction and delay. [less ▲]

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See detailEnhancing Cooperation in Distributed Information Systems using Conviviality and Multi-Context Systems
Caire, Patrice UL; Bikakis, Antonis

in Multi-disciplinary Trends in Artificial Intelligence - 5th International Workshop, MIWAI 2011, (2011)

Modern information systems are characterized by the distribution of information and services among several autonomous heterogeneous entities. A major requirement for the success of such systems is that ... [more ▼]

Modern information systems are characterized by the distribution of information and services among several autonomous heterogeneous entities. A major requirement for the success of such systems is that participating entities cooperate by sharing parts of their local knowledge. This paper presents a novel approach for modeling and enhancing cooperation in distributed information systems, which combines two formal models from the field of Knowledge Representation and Reasoning: a conviviality model and Multi-Context Systems. Our aim is two-fold. First, we develop a combined model for context-based representation and cooperation. Second, we provide the means for measuring cooperation leading to the design and evaluation of more convivial systems. [less ▲]

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See detailEnhancing Judicial Reputation through Legal Transplant – Estoppel Travels to France
Cuniberti, Gilles UL

in American Journal of Comparative Law (2012)

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See detailEnhancing Mobile Devices with Cooperative Proactive Computing
Neyens, Gilles UL; Dobrican, Remus-Alexandru UL; Zampunieris, Denis UL

in Proceedings of the 5th International Conference on Advanced Collaborative Networks, Systems and Applications (COLLA 2015) (2015)

With the increasing popularity of smartphones and with the fact that they are connected to the Internet most of the time, people manage to stay online everywhere they go. They can access online services ... [more ▼]

With the increasing popularity of smartphones and with the fact that they are connected to the Internet most of the time, people manage to stay online everywhere they go. They can access online services remotely at any time they want, using their mobile devices. However, in order to make the best out of these circumstances, the users have to use sophisticated mobile applications. These applications do not have to only address key aspects like collaboration and cooperation between various devices but have to deal also with the involvement of the users in order to achieve the desired outcome. The main contribution of this paper is to present a solution, i.e., Proactive Engine for Mobile Devices (PEMD), together with its implementation for Android based systems, for enhancing mobile devices with proactive roperties. The model serves as a basis for developing smart applications that are able to perform complex real-world tasks. Furthermore, it provides a method for achieving cooperation, coordination and collaboration of multiple smart devices. Finally, we provide the performance experiments and we discuss the results and the effects of using PEMD on different devices. [less ▲]

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See detailEnhancing mobile services with DVB-S2X superframing
Mazzali, Nicolò UL; Boumard, Sandrine; Kinnunen, Jouko et al

in International Journal of Satellite Communications and Networking (2018)

DVB-S2X is the cornerstone for satellite communication standards forming the state of the art of broadband satellite waveforms. In this paper, we propose new application scenarios and advanced techniques ... [more ▼]

DVB-S2X is the cornerstone for satellite communication standards forming the state of the art of broadband satellite waveforms. In this paper, we propose new application scenarios and advanced techniques, including a reference design implementing superframing, predistortion, a robust synchronization chain, and a plug-and-play channel interleaver. We demonstrate by means of software simulations and hardware tests that the DVB-S2X can be a common technology enabler for land-mobile, aeronautical, and maritime satellite scenarios in addition to the more traditional VSAT scenario, even in very challenging conditions (eg, very low signal-to-noise ratio). [less ▲]

Detailed reference viewed: 129 (6 UL)