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See detailUser Required? On the Value of User Research in the Digital Humanities
Kemman, Max UL; Kleppe, Martijn

in Linköping Electronic Conference Proceedings (2015, August 26), (116), 63-74

Although computational tools play an increasingly important role in the humanities, adoption of tools by scholars does not always reach its potential. One approach to this problem is user research to ... [more ▼]

Although computational tools play an increasingly important role in the humanities, adoption of tools by scholars does not always reach its potential. One approach to this problem is user research to uncover the needs of the users. However, it is uncertain whether such user requirements can be generalized to a wider group of humanities scholars, and whether users are able to explicate their requirements for methodological innovation. We ask what the role of user research is in the Digital Humanities by discussing gathered user requirements for two projects. We categorized the requirements as within- or out-of-scope of the projects’ goals, and found a tension between the specificity of humanities’ research methods, and generalizability for a broader applicable tool. With the out-of-scope requirements we are able to map the wider research workflow, showing DH tools will most likely take a spot in the wider workflow, and that it is infeasible to create a tool for the entire workflow that is generic enough for a larger user group. However, the within-scope requirements led to features that were sufficiently generic for the tool to be adopted, also for unintended purposes. These insights show user research has a clear benefit for DH projects. [less ▲]

Detailed reference viewed: 139 (11 UL)
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See detailUser requirements in ICT-based social media use: Acceptance of a virtual coach
Leist, Anja UL; Ferring, Dieter UL; Klauss, Kerstin et al

Scientific Conference (2011)

Detailed reference viewed: 51 (0 UL)
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See detailUser Rewarding and Distributed Payment Platforms for Mobile Crowdsensing Systems
Capponi, Andrea UL

Scientific Conference (2018, April)

Mobile Crowdsensing (MCS) has become in the last years one of the most prominent paradigms for urban sensing. In MCS systems, citizens actively participate in the sensing process by contributing data from ... [more ▼]

Mobile Crowdsensing (MCS) has become in the last years one of the most prominent paradigms for urban sensing. In MCS systems, citizens actively participate in the sensing process by contributing data from their mobile devices. To make e ective a MCS campaign, large participation is fundamental. Users sustain costs to contribute data and they may be reluctant in joining the sensing process. Hence, it is essential to incentivize participants. Several incentive mechanisms have been investigated, such as monetary rewarding. In this context, distributed payment platforms based on custom built blockchains assume a fundamental role. We aim to develop a platform to distribute micro-payments following rewarding schemes. The key idea is to di erentiate between users through several parameters, such as the amount of acquired data and the Quality of Information (QoI), according to the particular campaign and the need of the organizers. [less ▲]

Detailed reference viewed: 78 (5 UL)
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See detailUser Scheduling for Coordinated Dual Satellite Systems with Linear Precoding
Christopoulos, Dimitrios UL; Chatzinotas, Symeon UL; Ottersten, Björn UL

in International Communications Conference, Budapest 2013 (2013)

Detailed reference viewed: 178 (31 UL)
Peer Reviewed
See detailUser Scheduling in Cooperative Satellite Systems
Christopoulos, Dimitrios UL; Chatzinotas, Symeon UL; Ottersten, Björn UL

in Cooperative and Cognitive Satellite Systems (2015)

Detailed reference viewed: 139 (12 UL)
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See detailUser Selection for symbol-level multigroup multicasting precoding in the downlink of MISO channels
Alodeh, Maha UL; Chatzinotas, Symeon UL; Ottersten, Björn UL

in 2018 IEEE International Conference on Communications (ICC) (2018)

We consider the problem of user selection for symbol-level multigroup multicasting in the downlink of multiuser MISO systems. Symbol-level precoding is a new paradigm for multiuser multiple-antenna ... [more ▼]

We consider the problem of user selection for symbol-level multigroup multicasting in the downlink of multiuser MISO systems. Symbol-level precoding is a new paradigm for multiuser multiple-antenna downlink systems which aims at creating constructive interference among the simultaneous data streams. This can be enabled by designing the precoded signal of the multiantenna transmitter on a symbol level, taking into account both channel state information and data symbols. This work proposes a user selection algorithm to facilitate serving multiple groups of users, by transmitting a stream of common symbols to each group on symbol-by-symbol basis if we have large number of users. We provide numerical results to validate the proposed algorithm. [less ▲]

Detailed reference viewed: 75 (11 UL)
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See detailUser Study on Remotely Controlled UAVs with Focus on Interfaces and Data Link Quality
Riestock, Maik; Engelhard, Frank; Zug, Sebastian et al

in IEEE/RAS International Conference on Intelligent Robots and Systems (2017)

Detailed reference viewed: 75 (2 UL)
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See detailUser Terminal Wideband Modem for Very High Throughput Satellites
Kisseleff, Steven UL; Maturo, Nicola UL; Chatzinotas, Symeon UL et al

in 37th International Communications Satellite Systems Conference (ICSSC), Japan, October 2019 (2019, November)

Detailed reference viewed: 30 (0 UL)
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See detailUser’s guide to apply, configure and adapt the Genetics Lab
Sonnleitner, Philipp UL; Mayer, Hélène; Keller, Ulrich UL et al

E-print/Working paper (2012)

Detailed reference viewed: 40 (2 UL)
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See detailUser-Centered Activity Management System for Elderly People
Otjacques, Benoît; Krier, Marc; Feltz, Fernand et al

in International Conference on Pervasive Computing Technologies for Healthcare (2009)

Abstract — This paper presents the preliminary results of a multi-disciplinary project aiming at studying technology supported life in a retirement home. The results of semistructured interviews conducted ... [more ▼]

Abstract — This paper presents the preliminary results of a multi-disciplinary project aiming at studying technology supported life in a retirement home. The results of semistructured interviews conducted with a group of 40 (semi-) autonomously living elderly persons are presented. In general they point in the direction of a “differential indication” of technologies in the sense of identifying personal solution for individual needs. Second, results show that the crucial dimension underlying the acceptance of technologies is the notion of personal control. The paper also identifies ten key design factors to build successful applications for elderly people. Finally an initial version of a new system mixing RFID, tactile screen and large display is described. [less ▲]

Detailed reference viewed: 53 (2 UL)
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See detailUser-Device Authentication in Mobile Banking using APHEN for Paratuck2 Tensor Decomposition
Charlier, Jérémy Henri J. UL; Falk, Eric UL; State, Radu UL et al

in Proceedings of 2018 IEEE International Conference on Data Mining Workshops (ICDMW) (2018)

The new financial European regulations such as PSD2 are changing the retail banking services. Noticeably, the monitoring of the personal expenses is now opened to other institutions than retail banks ... [more ▼]

The new financial European regulations such as PSD2 are changing the retail banking services. Noticeably, the monitoring of the personal expenses is now opened to other institutions than retail banks. Nonetheless, the retail banks are looking to leverage the user-device authentication on the mobile banking applications to enhance the personal financial advertisement. To address the profiling of the authentication, we rely on tensor decomposition, a higher dimensional analogue of matrix decomposition. We use Paratuck2, which expresses a tensor as a multiplication of matrices and diagonal tensors, because of the imbalance between the number of users and devices. We highlight why Paratuck2 is more appropriate in this case than the popular CP tensor decomposition, which decomposes a tensor as a sum of rank-one tensors. However, the computation of Paratuck2 is computational intensive. We propose a new APproximate HEssian-based Newton resolution algorithm, APHEN, capable of solving Paratuck2 more accurately and faster than the other popular approaches based on alternating least square or gradient descent. The results of Paratuck2 are used for the predictions of users' authentication with neural networks. We apply our method for the concrete case of targeting clients for financial advertising campaigns based on the authentication events generated by mobile banking applications. [less ▲]

Detailed reference viewed: 92 (11 UL)
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See detailUsing A Path Matching Algorithm to Detect Inter-Component Leaks in Android Apps
Li, Li UL; Bartel, Alexandre UL; Klein, Jacques UL et al

Scientific Conference (2014, March 12)

Detailed reference viewed: 267 (22 UL)
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See detailUsing and Specializing a Pattern-Based E-business Framework: An Auction Case Study
Guelfi, Nicolas UL; Ries, Benoît UL

in The 6th Annual IASTED International Conference on Software Engineering and Applications (2002)

Sun's J2EE environment is becoming one of the major technologies for the development of web applications. The reuse of stable and integrated components is a well-known mean to achieve effective software ... [more ▼]

Sun's J2EE environment is becoming one of the major technologies for the development of web applications. The reuse of stable and integrated components is a well-known mean to achieve effective software development. Frameworks have this objective but few frameworks are available for the J2EE platform, and moreover, they are rarely integrated in a global methodological approach supported by a tool. Furthermore, the available literature mainly provides a general conceptual presentation of frameworks. The objective of this paper is to present, from a pragmatic perspective, the use of the J2EE framework called JAFAR devoted to the development of web applications. As JAFAR has been developed from a software engineering point of view, we also show how its use can be supported by CASE tools that support design modeling and allows pattern-based development. For this purpose we used the Rational environment. [less ▲]

Detailed reference viewed: 76 (4 UL)
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See detailUsing association rules for searching levers of influence in census data
Chertov, Oleg; Aleksandrova, Marharyta UL

in Procedia Social and Behavioral Sciences (2013), 73

Detailed reference viewed: 77 (1 UL)
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See detailUsing atmospheric plasma to design multilayer film from polylactic acid and thermoplastic starch: a screening Life Cycle Assessment
Benetto, Enrico; Jury, Collin; Igor, Elorri et al

in Journal of Cleaner Production (2015), 87

The accumulation of plastic waste and the increasing awareness of the environmental implications and technical challenges associated to their treatment and recycling have led to a constant increase of ... [more ▼]

The accumulation of plastic waste and the increasing awareness of the environmental implications and technical challenges associated to their treatment and recycling have led to a constant increase of biopolymers market in the 90's. Polylactic acid (PLA) is one of the most promising biodegradable plastics, showing a wide range of potential applications, e.g. in the packaging industry. However, the high production costs hamper its further development. The use of PLA in multilayer (ML) films is a potential opportunity to reduce the production costs. This study tackled the ecodesign of a clam shell for packaging applications based on a novel ML film made of PLA and thermoplastic starch (TPS), evaluating the environmental performance of different design concepts through Life Cycle Assessment (LCA). In order to assure proper compatibility between PLA and TPS, the use of dielectric barrier discharge (dbd) plasma technology at atmospheric pressure to increase the hydrophilicity of PLA was investigated. The results have highlighted the significant contribution of plasma treatment to the overall environmental impact of the ML film and the need for further optimisation. Despite the contribution of the PLA end-of-life phase to the overall environmental impact of the ML clam shell is low, the methodological approach to end-of-life can have a significant influence on the LCA results. This seems to be due to the low PLA recycling and recovery rate assumed, which is nevertheless realistic. The promotion of high recovery and recycling rates should therefore be a priority in the future. At the current development stage, even the most improved ML clam shell concept obtained using atmospheric plasma technology is not an environmentally sound alternative to pure PLA clam shell, although it is likely to be a cost-effective option. A good compromise between cost and environmental constrains to be further investigated could be to increase further the proportion of PLA in the ML, by improving the water adsorption capability of TPS through, e.g., the addition of a phthalate free plasticiser. [less ▲]

Detailed reference viewed: 86 (2 UL)
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See detailUsing attack-defense trees to analyze threats and countermeasures in an ATM: a case study
Fraile, Marlon; Ford, Margaret; Gadyatskaya, Olga UL et al

in IFIP Working Conference on The Practice of Enterprise Modeling (2016)

Detailed reference viewed: 129 (1 UL)
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See detailUsing automated electrode localization to guide stimulation management in DBS
Petersen, Mikkel V.; Husch, Andreas UL; Parsons, Christine E. et al

in Annals of Clinical and Translational Neurology (2018), 0(0),

Abstract Deep Brain Stimulation requires extensive postoperative testing of stimulation parameters to achieve optimal outcomes. Testing is typically not guided by neuroanatomical information on electrode ... [more ▼]

Abstract Deep Brain Stimulation requires extensive postoperative testing of stimulation parameters to achieve optimal outcomes. Testing is typically not guided by neuroanatomical information on electrode contact locations. To address this, we present an automated reconstruction of electrode locations relative to the treatment target, the subthalamic nucleus, comparing different targeting methods: atlas‐, manual‐, or tractography‐based subthalamic nucleus segmentation. We found that most electrode contacts chosen to deliver stimulation were closest or second closest to the atlas‐based subthalamic nucleus target. We suggest that information on each electrode contact's location, which can be obtained using atlas‐based methods, might guide clinicians during postoperative stimulation testing. [less ▲]

Detailed reference viewed: 94 (3 UL)
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See detailUsing Bayes' theorem to infer the material parameters of human soft tissue
Hale, Jack UL; Farrell, Patrick; Bordas, Stéphane UL

Presentation (2015, October 21)

Detailed reference viewed: 112 (5 UL)
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See detailUsing Bayesian inference to recover the material parameters of a heterogeneous hyperelastic body
Hale, Jack UL; Farrell, Patrick; Bordas, Stéphane UL

Scientific Conference (2016)

We present a method for calculating a Bayesian uncertainty estimate on the recovered material parameters of a heterogeneous geometrically non-linear hyperelastic body. We formulate the problem in the ... [more ▼]

We present a method for calculating a Bayesian uncertainty estimate on the recovered material parameters of a heterogeneous geometrically non-linear hyperelastic body. We formulate the problem in the Bayesian inference framework [1]; given noisy and sparse observations of a body, some prior knowledge on the parameters and a parameter-to-observable map the goal is to recover the posterior distribution of the parameters given the observations. In this work we primarily focus on the challenges of developing dimension-independent algorithms in the context of very large inverse problems (tens to hundreds of thousands of parameters). Critical to the success of the method is viewing the problem in the correct infinite- dimensional function space setting [2]. With this goal in mind, we show the use of automatic symbolic differentiation techniques to construct high-order adjoint models [3], scalable maximum a posteriori (MAP) estimators, and efficient low-rank update methods to calculate credible regions on the posterior distribution [4]. [less ▲]

Detailed reference viewed: 122 (15 UL)