scholarly journals Towards the Construction of a User Unique Authentication Mechanism on LMS Platforms through Model-Driven Engineering (MDE)

2019 ◽  
Vol 2019 ◽  
pp. 1-16 ◽  
Author(s):  
Jhon Francined Herrera-Cubides ◽  
Paulo Alonso Gaona-García ◽  
Geiner Alexis Salcedo-Salgado
Keyword(s):  
Linked Data ◽  
Design Guidelines ◽  
Open Educational Resources ◽  
Training Process ◽  
Quality Models ◽  
Model Driven ◽  
Authentication Mechanism ◽  
Key Factor ◽  
Unified Authentication ◽  
Future Work

In LOD, authentication is a key factor in the security dimension of linked data quality models. This is the case of (a) LMS that manages open educational resources (OERs), in training process, and (b) LMS integrated platforms, which also require authenticating users. Authentication tackles a range of problems such as users forgetting passwords and time consumption in repetitive logins in different applications. In the context of linked OERs that are developed in LMS, it is necessary to design guidelines in order to carry out the authentication process. This process authorizes access to different linked resources platforms. Therefore, to provide abstraction methods for this authentication process, it is proposed to work with model-driven architecture (MDA) approach. This paper proposes a security abstraction model on LMS, based on MDA. The proposed metamodel seeks to provide a set of guidelines on how to carry out unified authentication, establishing a common dialogue among stakeholders. Conclusion and future work are proposed in order to generate authentication instances that allow access to resources managed in different platforms.

scholarly journals Model-driven decision support to facilitate efficient fresh food deliveries

2020 ◽  
Vol 71 (1) ◽  
pp. 1-9
Author(s):  
Christian Fikar
Keyword(s):  
Decision Support ◽  
Optimization Methods ◽  
Research Gaps ◽  
Related Factors ◽  
Quality Models ◽  
Model Driven ◽  
Holistic Approaches ◽  
Fresh Food ◽  
Planning Procedure ◽  
Future Work

SummaryThe delivery of fresh food is challenged by various uncertainties present in daily logistics operations. To facilitate successful operations, this work reviews the recent work on model-driven decision support systems to identify research gaps and derive implications. Introduced systems in literature mainly employ simulation or optimization methods and focus on the consideration of industry specifics such as short shelf lives and the importance of efficient temperature control. Therefore, food quality models are often integrated to enable one to monitor quality throughout supply chain operations and adjust planning procedure respectively. To strengthen research, future work focusing on a stronger consideration of customer-related factors and holistic approaches considering various interdependencies present in fresh food logistics operations are required.

scholarly journals Measuring Men’s Gender Norm Beliefs Related to Contraception: Development of the Masculine Norms and Family Planning Acceptance Scale

2021 ◽  
Author(s):  
Sara J. Newmann ◽  
Jennifer Monroe Zakaras ◽  
Shari L. Dworkin ◽  
Mellissa Withers ◽  
Louisa Ndunyu ◽  
...  
Keyword(s):  
Family Planning ◽  
Contraceptive Use ◽  
Gender Norms ◽  
Male Partner ◽  
Masculine Norms ◽  
Pregnancy Spacing ◽  
Key Factor ◽  
Acceptance Scale ◽  
Future Work ◽  
Positive Engagement

AbstractMale partner resistance is identified as a key factor that influences women’s contraceptive use. Examination of the masculine norms that shape men’s resistance to contraception—and how to intervene on these norms—is needed. To assess a gender-transformative intervention in Kenya, we developed and evaluated a masculinity-informed instrument to measure men’s contraceptive acceptance—the Masculine Norms and Family Planning Acceptance (MNFPA) scale. We developed draft scale items based on qualitative research and administered them to partnered Kenyan men (n = 150). Item response theory-based methods were used to reduce and psychometrically evaluate final scale items. The MNFPA scale had a Cronbach’s α of 0.68 and loaded onto a single factor. MNFPA scores were associated with self-efficacy and intention to accept a female partner’s use of contraception; scores were not associated with current contraceptive use. The MNFPA scale is the first rigorously developed and psychometrically evaluated tool to assess men’s contraceptive acceptance as a function of male gender norms. Future work is needed to test the MNFPA measure in larger samples and across different contexts. The scale can be used to evaluate interventions that seek to shift gender norms to increase men’s positive engagement in pregnancy spacing and prevention.

scholarly journals How big is the influence of biogenic silicon pools on short-term changes in water-soluble silicon in soils? Implications from a study of a 10-year-old soil–plant system

2017 ◽  
Vol 14 (22) ◽  
pp. 5239-5252 ◽  
Author(s):  
Daniel Puppe ◽  
Axel Höhn ◽  
Danuta Kaczorek ◽  
Manfred Wanner ◽  
Marc Wehrhan ◽  
...  
Keyword(s):  
Water Soluble ◽  
Small Scale ◽  
Testate Amoeba ◽  
Short Term ◽  
Plant Materials ◽  
Main Driver ◽  
Key Factor ◽  
Calamagrostis Epigejos ◽  
Biogenic Silicon ◽  
Future Work

Abstract. The significance of biogenic silicon (BSi) pools as a key factor for the control of Si fluxes from terrestrial to aquatic ecosystems has been recognized for decades. However, while most research has been focused on phytogenic Si pools, knowledge of other BSi pools is still limited. We hypothesized that different BSi pools influence short-term changes in the water-soluble Si fraction in soils to different extents. To test our hypothesis we took plant (Calamagrostis epigejos, Phragmites australis) and soil samples in an artificial catchment in a post-mining landscape in the state of Brandenburg, Germany. We quantified phytogenic (phytoliths), protistic (diatom frustules and testate amoeba shells) and zoogenic (sponge spicules) Si pools as well as Tiron-extractable and water-soluble Si fractions in soils at the beginning (t0) and after 10 years (t10) of ecosystem development. As expected the results of Tiron extraction showed that there are no consistent changes in the amorphous Si pool at Chicken Creek (Hühnerwasser) as early as after 10 years. In contrast to t0 we found increased water-soluble Si and BSi pools at t10; thus we concluded that BSi pools are the main driver of short-term changes in water-soluble Si. However, because total BSi represents only small proportions of water-soluble Si at t0 (< 2 %) and t10 (2.8–4.3 %) we further concluded that smaller (< 5 µm) and/or fragile phytogenic Si structures have the biggest impact on short-term changes in water-soluble Si. In this context, extracted phytoliths (> 5 µm) only amounted to about 16 % of total Si contents of plant materials of C. epigejos and P. australis at t10; thus about 84 % of small-scale and/or fragile phytogenic Si is not quantified by the used phytolith extraction method. Analyses of small-scale and fragile phytogenic Si structures are urgently needed in future work as they seem to represent the biggest and most reactive Si pool in soils. Thus they are the most important drivers of Si cycling in terrestrial biogeosystems.

User Interaction with Linked Data

2016 ◽  
Vol 7 (1) ◽  
pp. 79-91 ◽  
Author(s):  
Dhavalkumar Thakker ◽  
Fan Yang-Turner ◽  
Dimoklis Despotakis
Keyword(s):  
Linked Data ◽  
User Study ◽  
User Interaction ◽  
Heterogeneous Data ◽  
User Studies ◽  
Sensor Data ◽  
Exploratory Search ◽  
Search Tasks ◽  
Algorithmic Support ◽  
Future Work

It is becoming increasingly popular to expose government and citywide sensor data as linked data. Linked data appears to offer a great potential for exploratory search in supporting smart city goals of helping users to learn and make sense of complex and heterogeneous data. However, there are no systematic user studies to provide an insight of how browsing through linked data can support exploratory search. This paper presents a user study that draws on methodological and empirical underpinning from relevant exploratory search studies. The authors have developed a linked data browser that provides an interface for user browsing through several datasets linked via domain ontologies. In a systematic study that is qualitative and exploratory in nature, they have been able to get an insight on central issues related to exploratory search and browsing through linked data. The study identifies obstacles and challenges related to exploratory search using linked data and draws heuristics for future improvements. The authors also report main problems experienced by users while conducting exploratory search tasks, based on which requirements for algorithmic support to address the observed issues are elicited. The approach and lessons learnt can facilitate future work in browsing of linked data, and points at further issues that have to be addressed.

FPF: Fraud Proof Framework for Electronic Voting System

2016 ◽  
Vol 6 (3) ◽  
pp. 1197
Author(s):  
Innocent Kabandana ◽  
A.N. Nanda Kumar
Keyword(s):  
Comparative Analysis ◽  
Vital Role ◽  
Electronic Voting ◽  
Democratic Process ◽  
Authentication Mechanism ◽  
Voting System ◽  
Multi Level ◽  
Electronic Voting System ◽  
Future Work ◽  
Selection Of

In a democratic process voting plays a vital role in selection of policy as well as candidates. Voting though gives the freedom to voter to cast his opinion it is not free fraudulent. In order to have secure voting and convey the opinion of authorized voter in this paper we have presented a java based framework for fraud proof electronic voting system. In this framework we ensure that only the authorized voter is permitted to cast his vote and mitigate illegal voters cast votes on faking or pretending to be someone else. Proposed FPF provides a multi-level of authentication mechanism to validate the voter. The proposed system is tested for efficiency and robustness in comparing it with the existing system and is found to be efficient through comparative analysis. At present FPF is successful in mitigating the unauthorized voting further enhancement in the electronic voting system is being carried out as future work.

scholarly journals Building Model-Driven Decision Support System in Product Redesign Plan

Designs ◽  
2019 ◽  
Vol 3 (1) ◽  
pp. 18
Author(s):  
Swee Kuik ◽  
Li Diong
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Environmental Implications ◽  
Model Driven ◽  
Building Model ◽  
Product Use ◽  
Manufacturing Assembly ◽  
Operational Processes ◽  
Future Work

Product recovery strategy requires a thoughtful consideration of environmental implications of operational processes, undergone by a manufactured product in its entire product lifecycle, from stages of material processing, manufacturing, assembly, transportation, product use, product post-use and end-of-life. At the returns stream from product use stage, those parts and/or component assemblies from a used product have several disposition alternatives for recovery, such as direct reuse, remanufacture, recycle or disposal. Due to such complexity of the manufacturing processes in recovery, current decision methodologies focus on the performance measures of cost, time, waste and quality separately. In this article, an integrated decision model for used product returns stream is developed to measure the recovery of utilisation value in the aspects of cost, waste, time, and quality collectively. In addition, we proposed a model-driven decision support system (DSS) that may be useful for manufacturers in making recovery disposition alternatives. A case application was demonstrated with the use of model-driven DSS to measure recovery utilisation value for the used product disposition alternatives. Finally, the future work and contributions of this study are discussed.

scholarly journals General and Gambling-Specific Types of Control: Extending Mental Health Theory and Concepts to Problem Gambling

2021 ◽  
Vol 2 (1) ◽  
pp. 29-38
Author(s):  
Sasha Stark
Keyword(s):  
Mental Health ◽  
Problem Gambling ◽  
Process Model ◽  
Gambling Problems ◽  
Integrate Control ◽  
Key Factor ◽  
Efficacy Research ◽  
Control Work ◽  
Future Work ◽  
Health Theory

Rationale: A key factor in our understanding of problem gambling is control: over gambling outcomes (illusion of control) and behaviours (gambling self-efficacy). Research in the gambling field rarely looks beyond these gambling-specific types of control to more general types when identifying predictors of gambling problems. This work begins to integrate control concepts from the mental health and problem gambling fields by examining the importance of a more general type of control from the Stress Process Model: sense of control over life events. Methods: Closed-ended questionnaire and open-ended interview responses from 30 frequent (weekly or more) gamblers were used to examine whether general and gambling-specific types of control are linked as predicted in a conceptual model of control. Results: For some people, beliefs about one type of control are extended to inform beliefs about another type of control. In many cases, understandings of outcomes in life inform beliefs about controlling gambling outcomes and behaviours. Conclusions: Different types of control work together, and general understandings can translate into gambling-specific beliefs. Future work is needed to confirm and specify these relationships and clarify their importance to understanding the development of gambling problems.

scholarly journals Neural networks: from image recognition to tokamak plasma tomography

2019 ◽  
Vol 37 (2) ◽  
pp. 171-175 ◽  
Author(s):  
Axel Jardin ◽  
Jakub Bielecki ◽  
Didier Mazon ◽  
Jan Dankowski ◽  
Krzysztof Król ◽  
...  
Keyword(s):  
Neural Networks ◽  
Tokamak Plasma ◽  
Diagnostic Tools ◽  
Inversion Method ◽  
Training Process ◽  
Crucial Issue ◽  
X Ray ◽  
The Neural Network ◽  
Plasma Core ◽  
Future Work

AbstractIn this paper, the possibility of using neural networks for fast tomographic reconstructions of tokamak plasma soft X-ray (SXR) emissivity is investigated. Indeed, the radiative cooling of heavy impurities like tungsten could be detrimental for the plasma core performances of ITER, thus developing robust and fast SXR diagnostic tools is a crucial issue to monitor the impurities and to mitigate in real-time their central accumulation. As preliminary work, a database of emissivity phantoms with associated synthetic measurements is used to train the neural network to solve the inversion problem. The inversion method, training process, and first tomographic reconstructions are presented with the perspectives about our future work.

A Proposal to Elicit Usability Requirements within a Model-Driven Development Environment

2014 ◽  
Vol 5 (4) ◽  
pp. 1-21
Author(s):  
Yeshica Isela Ormeño ◽  
Jose Ignacio Panach ◽  
Nelly Condori-Fernández ◽  
Óscar Pastor
Keyword(s):  
Software Development ◽  
Development Process ◽  
Design Guidelines ◽  
Tree Structure ◽  
Software Development Process ◽  
End User ◽  
Model Driven Development ◽  
Model Driven ◽  
Early Stages ◽  
Usability Requirements

Nowadays there are sound Model-Driven Development (MDD) methods that deal with functional requirements, but in general, usability is not considered from the early stages of the development. Analysts that work with MDD implement usability features manually once the code has been generated. This manual implementation contradicts the MDD paradigm and it may involve much rework. This paper proposes a method to elicit usability requirements at early stages of the software development process such a way non-experts at usability can use it. The approach consists of organizing several interface design guidelines and usability guidelines in a tree structure. These guidelines are shown to the analyst through questions that she/he must ask to the end-user. Answers to these questions mark the path throughout the tree structure. At the end of the process, the paper gathers all the answers of the end-user to obtain the set of usability requirements. If it represents usability requirements according to the conceptual models that compose the framework of a MDD method, these requirements can be the input for next steps of the software development process. The approach is validated with a laboratory demonstration.

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