scholarly journals Recent advances in excavation, design and support methods: A case study of Mangdechhu Project, Bhutan

2016 ◽  
Author(s):  
P.K. Mishra ◽  
R.K. Chaudhary ◽  
P. Punetha
Keyword(s):  
Recent Advances ◽  
Support Methods

Withdrawn: Diabetes Mellitus Prognosis Using Fuzzy Logic and Neural Networks Case Study: Alexandria Vascular Center (AVC)

2019 ◽  
Vol 13 ◽  
Author(s):  
Abeer A. Amer ◽  
Soha M. Ismail
Keyword(s):  
Diabetes Mellitus ◽  
Neural Networks ◽  
Fuzzy Logic ◽  
Computer Science ◽  
Recent Advances ◽  
Vascular Center ◽  
Copyright Permission ◽  
Legal Right

The following article has been withdrawn on the request of the author of the journal Recent Advances in Computer Science and Communications (Recent Patents on Computer Science): Title: Diabetes Mellitus Prognosis Using Fuzzy Logic and Neural Networks Case Study: Alexandria Vascular Center (AVC) Authors: Abeer A. Amer and Soha M. Ismail* Bentham Science apologizes to the readers of the journal for any inconvenience this may cause BENTHAM SCIENCE DISCLAIMER: It is a condition of publication that manuscripts submitted to this journal have not been published and will not be simultaneously submitted or published elsewhere. Furthermore, any data, illustration, structure or table that has been published elsewhere must be reported, and copyright permission for reproduction must be obtained. Plagiarism is strictly forbidden, and by submitting the article for publication the authors agree that the publishers have the legal right to take appropriate action against the authors, if plagiarism or fabricated information is discovered. By submitting a manuscript, the authors agree that the copyright of their article is transferred to the publishers if and when the article is accepted for publication.

Ecocompositional and Performative Strategies for Creative Usage of Everyday Sounds: Creative Semantic Anchoring

Leonardo ◽  
2018 ◽  
Vol 51 (2) ◽  
pp. 195-196
Author(s):  
Damián Keller ◽  
Leonardo Feichas
Keyword(s):  
New Method ◽  
Creative Practice ◽  
Recent Advances ◽  
Solo Violin ◽  
Available Resources

The authors cover recent advances in ecologically grounded creative practice, highlighting performative strategies in instrumental writing. They address techniques adopted in ecocomposition and propose an expansion of the available resources by introducing a new method: creative semantic anchoring. The underlying concepts are presented and a case study—targeting the performative practice of Flausino Valle’s 26 Characteristic and Concert Preludes for Solo Violin—is described.

Recent Advances in Intelligent Tutoring Systems

2013 ◽  
pp. 631-647
Author(s):  
Joel J. P. C. Rodrigues ◽  
Pedro F. N. João ◽  
Isabel de la Torre Díez
Keyword(s):  
Learning Process ◽  
Intelligent Tutoring Systems ◽  
Intelligent Tutoring ◽  
Field Tests ◽  
Study Guide ◽  
Web Based ◽  
Tutoring Systems ◽  
Recent Advances ◽  
The Web

Intelligent Tutoring Systems (ITS) include interactive applications with some intelligence that supports the learning process. Some of ITS have had a very large impact on educational outcomes in field tests, and they have provided an important ground for artificial intelligence research. This chapter elaborates on recent advances in ITS and includes a case study presenting an ITS called EduTutor. This system was created for the Web-Based Aulanet Learning Management System (LMS). It focuses on subjects for the first cycle of studies of the Portuguese primary education system, between the first and the fourth year. It facilitates the perception of the learning process of each student, individually, in a virtual environment, as a study guide. Moreover, EduTutor has been designed and its architecture prepared for being easily integrated into higher levels of studies, different subjects, and several languages. Currently, it is used in the Aulanet LMS platform.

What Can Fitness Apps Teach Us About Group Privacy?

2021 ◽  
pp. 1-30
Author(s):  
Miriam J. Metzger ◽  
Jennifer Jiyoung Suh ◽  
Scott Reid ◽  
Amr El Abbadi
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Information Privacy ◽  
Individual Privacy ◽  
Recent Advances

This chapter begins with a case study of Strava, a fitness app that inadvertently exposed sensitive military information even while protecting individual users' information privacy. The case study is analyzed as an example of how recent advances in algorithmic group inference technologies threaten privacy, both for individuals and for groups. It then argues that while individual privacy from big data analytics is well understood, group privacy is not. Results of an experiment to better understand group privacy are presented. Findings show that group and individual privacy are psychologically distinct and uniquely affect people's evaluations, use, and tolerance for a fictitious fitness app. The chapter concludes with a discussion of group-inference technologies ethics and offers recommendations for fitness app designers.

P-Cable High Resolution 3D Seismic - Case Study and Recent Advances

2015 ◽  
Author(s):  
Frode N. Eriksen* ◽  
C. Berndt ◽  
J. Karstens ◽  
G.J. Crutchley
Keyword(s):  
High Resolution ◽  
3D Seismic ◽  
Recent Advances

scholarly journals Comparison of Multi-Criteria Decision Support Methods for Integrated Rehabilitation Prioritization

Water ◽  
2017 ◽  
Vol 9 (2) ◽  
pp. 68 ◽  
Author(s):  
Franz Tscheikner-Gratl ◽  
Patrick Egger ◽  
Wolfgang Rauch ◽  
Manfred Kleidorfer
Keyword(s):  
Decision Support ◽  
Asset Management ◽  
Economic Value ◽  
Urban Infrastructure ◽  
Water Systems ◽  
Urban Water ◽  
Management Scheme ◽  
Support Methods

The decisions taken in rehabilitation planning for the urban water networks will have a long lasting impact on the functionality and quality of future services provided by urban infrastructure. These decisions can be assisted by different approaches ranging from linear depreciation for estimating the economic value of the network over using a deterioration model to assess the probability of failure or the technical service life to sophisticated multi-criteria decision support systems. Subsequently, the aim of this paper is to compare five available multi-criteria decision-making (MCDM) methods (ELECTRE, AHP, WSM, TOPSIS, and PROMETHEE) for the application in an integrated rehabilitation management scheme for a real world case study and analyze them with respect to their suitability to be used in integrated asset management of water systems. The results of the different methods are not equal. This occurs because the chosen score scales, weights and the resulting distributions of the scores within the criteria do not have the same impact on all the methods. Independently of the method used, the decision maker must be familiar with its strengths but also weaknesses. Therefore, in some cases, it would be rational to use one of the simplest methods. However, to check for consistency and increase the reliability of the results, the application of several methods is encouraged.

Applying voting theory in participatory decision support for sustainable timber harvesting

2004 ◽  
Vol 34 (7) ◽  
pp. 1511-1524 ◽  
Author(s):  
Sanna Laukkanen ◽  
Teijo Palander ◽  
Jyrki Kangas
Keyword(s):  
Decision Support ◽  
Interest Groups ◽  
Timber Harvesting ◽  
Forest Area ◽  
Voting Theory ◽  
Rural Municipality ◽  
Support Methods ◽  
Decision Support Method ◽  
Support Decision Making

Several multi-criteria decision support methods have been introduced to sustainable management of natural resources, but different methods suit different planning situations. One way to support decision-making is to apply voting theory. In this study, a multi-criteria decision-support method based on voting theory, called multicriteria approval (MA), is applied to wood supply chain management in a forest area owned by the state of Finland. The area is called Leikko and is located in the rural municipality of Pieksämäki. MA seems to have some promising features in relation to participatory decision support. The most essential advantages are its ease and comprehensibility. MA is also able to deal with ordinal and imprecise information. Since the method does not demand much preference information from interest groups, the inquiries may be conducted using the Internet. In the case study, nine timber-harvesting alternatives were devised for the forest area. The study involved seven interest groups, whose representatives defined seven criteria by which the alternatives were compared. The purpose was to find a consensus or compromise solution for a practical harvesting schedule. Two different versions of MA were tested and compared from the participatory decision-support aspect. Usability and ease of method, the comprehensibility of the inquiries, and the congruence of the results were examined.

What Can Fitness Apps Teach Us About Group Privacy?

2021 ◽  
pp. 2135-2157
Author(s):  
Miriam J. Metzger ◽  
Jennifer Jiyoung Suh ◽  
Scott Reid ◽  
Amr El Abbadi
Keyword(s):  
Big Data ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Information Privacy ◽  
Individual Privacy ◽  
Recent Advances

This chapter begins with a case study of Strava, a fitness app that inadvertently exposed sensitive military information even while protecting individual users' information privacy. The case study is analyzed as an example of how recent advances in algorithmic group inference technologies threaten privacy, both for individuals and for groups. It then argues that while individual privacy from big data analytics is well understood, group privacy is not. Results of an experiment to better understand group privacy are presented. Findings show that group and individual privacy are psychologically distinct and uniquely affect people's evaluations, use, and tolerance for a fictitious fitness app. The chapter concludes with a discussion of group-inference technologies ethics and offers recommendations for fitness app designers.

scholarly journals Recent Advances in Geomathematics in Croatia: Examples from Subsurface Geological Mapping and Biostatistics

Geosciences ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 188
Author(s):  
Tomislav Malvić ◽  
Marija Bošnjak ◽  
Josipa Velić ◽  
Jasenka Sremac ◽  
Josip Ivšinović ◽  
...  
Keyword(s):  
Pannonian Basin ◽  
Wide Spectrum ◽  
Study Groups ◽  
Geological Mapping ◽  
Recent Advances ◽  
Numerical Indicator ◽  
Definition Of ◽  
Northern Croatia ◽  
Surface Geology

Geomathematics is extremely important in geosciences, particularly in the geology. The key for any geomathematical analysis is the definition of a typical model to be applied for further prognosis, either through deterministic or stochastic approaches. The selection of the appropriate procedure is presented in this paper. Two different geomathematical subfield datasets were used in subsurface geological mapping and palaeontology and different biostatistics applications, representing important geomathematical subfields in the Croatian geology. The different subsurface interpolation methods tested, validated and recommended for application were used to obtain the best possible outcome in reservoir modelling, in the cases with small datasets. Cross-validation may be chosen as the main selection criteria, applied to the Croatian part of the Pannonian Basin System (CPBS). Recent advances in biostatistics applied in palaeontology and case studies from Croatia are also presented, where biometric studies are of significant importance in fossil biota. Data, methods and problems in geosciences are vast subjects, and address a wide spectrum of fundamental science. Because geology includes subsurface and surface geology, and very different datasets regarding variable and number of data, we have chosen here two representative case study groups with original samples from Northern Croatia. Subsurface mapping has been presented on limited petrophysical datasets from the Northern Croatian, Miocene, hydrocarbon reservoirs. Biostatistics have been presented on very different samples, allowing us to achieve paleoenvironmental reconstructions of the size of relevant fossils, such as dinosaurs or other species and their paleoenvironments. All examples highlight examples of the valuable application of geomathematical tools in geology. The results, cautiously validated and correlated with other, non-numerical (indicator, categorical) geological knowledge, are of enormous assistance in creating better geological models.

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