scholarly journals Design of a Generic Mobile GIS for Professional Users

2018 ◽  
Vol 7 (11) ◽  
pp. 422
Author(s):  
Paul Kuper
Keyword(s):  
Mobile Applications ◽  
Location Based Services ◽  
New Approach ◽  
Mobile Gis ◽  
Wide Range ◽  
Restricted Environment ◽  
Multiple Environments ◽  
Ogc Standards

There are multiple location-based services (LBSs) and mobile GIS available for a wide range of applications. Usually such applications are developed to solve a restricted task within a restricted environment. The focus on a particular task is strong, and therefore, such applications can usually not be used in multiple environments. To overcome this issue, this paper presents a concept of a generic professional mobile GIS with a focus on interoperability. Firstly, common issues of mobile applications are presented, and their impact on the development of mobile GIS is analyzed. Subsequently, a new approach for a generic mobile GIS for professional users is presented. Based on multiple OGC standards, the approach leads to a system that can be used in various applications where the quality of surveyed data and analysis capabilities are improved. To prove the strength of the approach with GeoTechMobile, a prototype is presented and evaluated in a case study.

An open-source R-package and web application for high-quality probabilistic predictions in hydrology

2021 ◽  
Author(s):  
Jason Hunter ◽  
Mark Thyer ◽  
Dmitri Kavetski ◽  
David McInerney
Keyword(s):  
Open Source ◽  
Web Application ◽  
R Package ◽  
Error Model ◽  
Objective Functions ◽  
High Quality ◽  
Wide Range ◽  
Probabilistic Error

<p>Probabilistic predictions provide crucial information regarding the uncertainty of hydrological predictions, which are a key input for risk-based decision-making. However, they are often excluded from hydrological modelling applications because suitable probabilistic error models can be both challenging to construct and interpret, and the quality of results are often reliant on the objective function used to calibrate the hydrological model.</p><p>We present an open-source R-package and an online web application that achieves the following two aims. Firstly, these resources are easy-to-use and accessible, so that users need not have specialised knowledge in probabilistic modelling to apply them. Secondly, the probabilistic error model that we describe provides high-quality probabilistic predictions for a wide range of commonly-used hydrological objective functions, which it is only able to do by including a new innovation that resolves a long-standing issue relating to model assumptions that previously prevented this broad application.  </p><p>We demonstrate our methods by comparing our new probabilistic error model with an existing reference error model in an empirical case study that uses 54 perennial Australian catchments, the hydrological model GR4J, 8 common objective functions and 4 performance metrics (reliability, precision, volumetric bias and errors in the flow duration curve). The existing reference error model introduces additional flow dependencies into the residual error structure when it is used with most of the study objective functions, which in turn leads to poor-quality probabilistic predictions. In contrast, the new probabilistic error model achieves high-quality probabilistic predictions for all objective functions used in this case study.</p><p>The new probabilistic error model and the open-source software and web application aims to facilitate the adoption of probabilistic predictions in the hydrological modelling community, and to improve the quality of predictions and decisions that are made using those predictions. In particular, our methods can be used to achieve high-quality probabilistic predictions from hydrological models that are calibrated with a wide range of common objective functions.</p>

scholarly journals Improving V2X-6G network capacity using a new UAV-based approach in a Cloud/ICN architecture, case Study: VANET network

2021 ◽  
Vol 297 ◽  
pp. 01019
Author(s):  
Abdeslam Houari ◽  
Tomader Mazri
Keyword(s):  
Mobile Networks ◽  
Network Capacity ◽  
Intelligent Environment ◽  
New Approach ◽  
The Road ◽  
Road Users ◽  
Aerial Vehicle ◽  
On The Road

6G of mobile networks plays a crucial role in improving the capacity and enhancing the quality of services of Vehicle-to-Everything (V2X) based networks evolving in an intelligent environment. VANET is a promising project in the intelligent transportation field using V2X communications. The emergence of several 5G and 6G technologies has raised several challenges for scientists and researchers to allow vehicles and road users to enjoy several services while ensuring their safety on the road. Among these technologies, the unmanned aerial vehicle (UAV), which can perform different tasks for road users and vehicle drivers such as data caching, packet relaying and processing. In this article, we present a new approach based on 6G Unmanned Aerial Vehicles (UAV) technology on a vehicular cloud architecture while exploiting the exchange support of information-centric networking (ICN) for the improvement of network capacity.

scholarly journals DISGROU: an algorithm for discontinuous subgroup discovery

2021 ◽  
Vol 7 ◽  
pp. e512
Author(s):  
Reynald Eugenie ◽  
Erick Stattner
Keyword(s):  
Basic Assumption ◽  
Numerical Data ◽  
Subgroup Discovery ◽  
Search Process ◽  
Target Variable ◽  
Traditional Methods ◽  
New Approach ◽  
Numerical Attributes

In this paper, we focus on the problem of the search for subgroups in numerical data. This approach aims to identify the subsets of objects, called subgroups, which exhibit interesting characteristics compared to the average, according to a quality measure calculated on a target variable. In this article, we present DISGROU, a new approach that identifies subgroups whose attribute intervals may be discontinuous. Unlike the main algorithms in the field, the originality of our proposal lies in the way it breaks down the intervals of the attributes during the subgroup research phase. The basic assumption of our approach is that the range of attributes defining the groups can be disjoint to improve the quality of the identified subgroups. Indeed the traditional methods in the field perform the subgroup search process only over continuous intervals, which results in the identification of subgroups defined over wider intervals thus containing some irrelevant objects that degrade the quality function. In this way, another advantage of our approach is that it does not require a prior discretization of the attributes, since it works directly on the numerical attributes. The efficiency of our proposal is first demonstrated by comparing the results with two algorithms that are references in the field and then by applying to a case study.

scholarly journals OPTIMAL UNIFORM QUANTIZATION OF PARAMETERS OF CONVOLUTIONAL NEURAL NETWORKS

2018 ◽  
pp. 99-103
Author(s):  
D. S. Kolesnikov ◽  
D. A. Kuznetsov
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Mobile Applications ◽  
Recognition Accuracy ◽  
State Of The Art ◽  
Network Parameters ◽  
Wide Range ◽  
Uniform Quantization ◽  
Adaptive Step

State of the art convolutional neural networks provide high accuracy in solving a wide range of problems. Usually it is achieved by a significant increasing their computational complexity and the representation of the network parameters in single-precision floating point numbers. However, due to the limited resources, the application of networks in embedded systems and mobile applications in real time is problematic. One of the methods to solve this problem is to reduce the bit depth of data and use integer arithmetic. For this purpose, the network parameters are quantized. Performing quantization, it is necessary to ensure a minimum loss of recognition accuracy. The article proposes to use an optimal uniform quantizer with an adaptive step. The quantizer step depends on the distribution function of the quantized parameters. It reduces the effect of the quantization error on the recognition accuracy. There are also described approaches to improving the quality of quantization. The proposed quantization method is estimated on the CIFAR-10 database. It is shown that the optimal uniform quantizer for CIFAR-10 database with 8-bit representation of network parameters allows to achieve the accuracy of the initial trained network.

River Crossings: Developing a Mobile GIS Approach to Monitoring Activities

2019 ◽  
Author(s):  
Martin Carnicero ◽  
Maureen Vázquez
Keyword(s):  
Risk Analysis ◽  
Satellite Image ◽  
Monitoring Program ◽  
Flow Process ◽  
New Approach ◽  
Mobile Gis ◽  
Natural Gas Pipelines ◽  
Electronic Form ◽  
Minimum Delay

Abstract TGN operates a system of 9,000 kilometers of natural gas pipelines with numerous river crossings. According to the mandatory monitoring program, river crossings are visited at least once a year with additional visits for major rivers during the rainy season. Basic data such as depth of cover for each line, photographs and descriptions are surveyed in the field. Later on, this information is manually entered in an electronic form for its use in risk analysis, to evaluate the need of remediation works. This task has two main problems: first, it is very time consuming for surveyors, and second, it is difficult to know the location within the river crossing where data was taken. At the end, monitoring forms came late in the year and its information is difficult to understand. To cope with this problem, a new approach was developed. A GIS mobile application was developed and installed in tablets used in the field, guiding the surveyor through the completion of an electronic form along each pipeline, having a satellite image in the background, as a global reference of where he is standing. All the information is geo-referenced using a built-in GPS. Once it is finished, by means of a simple WIFI/4G connection, information is sent to GIS servers, without the need to be typed at the office. Later on, it is captured and placed into the monitoring form format. Specialists can access and evaluate this information from the database visualizing it in the corporate GIS with minimum delay. This improvement has resulted in a significant decrease in time for the entire data flow process and a better quality of the information gathered, which results in a more realistic risk analysis.

Arts and Crafts in Iron Age East Yorkshire

2021 ◽  
Author(s):  
Helen Chittock
Keyword(s):  
Iron Age ◽  
Secondary Data ◽  
Arts And Crafts ◽  
New Approach ◽  
Wide Range

This volume presents a new approach to art in Iron Age Britain and beyond, aiming to collapse the historic distinction between arts and crafts during the period 400BC-AD100. A case study from East Yorkshire (UK) uses primary and secondary data to examine the purposeful nature of patterns on a wide range of decorated Iron Age objects.

Improving the quality of care across all settings

2015 ◽  
pp. 683-716
Author(s):  
Marilyn Bookbinder ◽  
Romina Arceo
Keyword(s):  
Palliative Care ◽  
Quality Improvement ◽  
End Of Life ◽  
Interdisciplinary Teams ◽  
Healthcare Organizations ◽  
New Approach ◽  
Process And Outcome ◽  
Care Path

This chapter provides perspectives on quality improvement (QI)-based initiatives in US healthcare organizations across settings and populations and discusses their impact on patient, professional, and system outcomes in palliative care. Principles of QI and structural, process, and outcome approaches to conducting QI studies are introduced. A case study is presented of a care-path for the end of life that the author and colleagues pilot-tested. An algorithm addressing dyspnea, a distressing symptom at end-of-life, is offered for testing, and a new approach to evaluating care at the end of life using the Joint Commission’s tracer methodology will be introduced. The chapter closes by showcasing nurses within interdisciplinary teams who are building evidence and providing leadership in the field of quality and palliative care.

scholarly journals Angry Apps: The Impact of Network Timer Selection on Power Consumption, Signalling Load, and Web QoE

2013 ◽  
Vol 2013 ◽  
pp. 1-13 ◽  
Author(s):  
Christian Schwartz ◽  
Tobias Hoßfeld ◽  
Frank Lehrieder ◽  
Phuoc Tran-Gia
Keyword(s):  
Power Consumption ◽  
Mobile Applications ◽  
Mobile Network ◽  
Web Pages ◽  
Web Traffic ◽  
Traffic Characteristics ◽  
Wide Range ◽  
Determining Factors ◽  
The Impact

The popularity of smartphones and mobile applications has experienced a considerable growth during the recent years, and this growth is expected to continue in the future. Since smartphones have only very limited energy resources, battery efficiency is one of the determining factors for a good user experience. Therefore, some smartphones tear down connectionsto the mobile network soon after a completed data transmission to reduce the power consumption of their transmission unit. However, frequent connection reestablishments caused by apps which send or receive small amounts of data often lead to a heavy signalling load within the mobile network. One of the major contributions of this paper is the investigation of the resulting tradeoff between energy consumption at the smartphone and the generated signalling traffic in the mobile network. We explain that this tradeoff can be controlled by the connection release timeout and study the impact of this parameter for a number of popular apps that cover a wide range of traffic characteristics in terms of bandwidth requirements and resulting signalling traffic. Finally, we study the impact of the timer settings on Quality of Experience (QoE) for web traffic. This is an important aspect since connection establishments not only lead to signalling traffic but also increase the load time of web pages.

scholarly journals Quality in Software Development: a pragmatic approach using metrics

2014 ◽  
Vol 52 ◽  
Author(s):  
Daniel Acton ◽  
Derrick Kourie ◽  
Bruce Watson
Keyword(s):  
Software Development ◽  
Software Quality ◽  
Software Projects ◽  
New Approach ◽  
Software Products ◽  
Main Disadvantage ◽  
Insight Into ◽  
Gaining Insight

As long as software has been produced, there have been efforts to strive for quality in software products. In order to understand quality in software products, researchers have built models of software quality that rely on metrics in an attempt to provide a quantitative view of software quality. The aim of these models is to provide software producers with the capability to define and evaluate metrics related to quality and use these metrics to improve the quality of the software they produce over time. The main disadvantage of these models is that they require effort and resources to define and evaluate metrics from software projects. This article briefly describes some prominent models of software quality in the literature and continues to describe a new approach to gaining insight into quality in software development projects. A case study based on this new approach is described and results from the case study are discussed.

scholarly journals Migration and Opportunity: An Antipodean Perspective

1998 ◽  
Vol 43 (2) ◽  
pp. 235-263 ◽  
Author(s):  
Robin Haines ◽  
Margrette Kleinig ◽  
Deborah Oxley ◽  
Eric Richards
Keyword(s):  
Quantitative Methods ◽  
Her Family ◽  
Domestic Servants ◽  
The Third ◽  
Domestic Servant ◽  
Wide Range ◽  
Convict Transportation ◽  
Family Strategies

Australian data can reflect on British questions, about the quality of immigrant labour, and the opportunities gained by migrating, in the nineteenth and early twentieth centuries. Three case studies are presented. The first uses quantitative methods and convict transportation records to argue that Ireland suffered a “brain drain” when Britain industrialized, siphoning off the cream of its workers to England and some, eventually, to Australia. Drawing on an entirely different type of data, the second study reaches strikingly similar positive conclusions about the qualities of Australia's early assisted immigrants: three splendidly visible immigrants stand for the tens of thousands of people who sailed out of urban and rural Britain to the distant colonies. A no less optimistic view of Australia's immigrants half a century later is demonstrated in the third case study on female domestic servants. Often referred to as the submerged stratum of the workforce, the most oppressed and the least skilled, the label “domestic servant” obscured a wide range of internal distinctions of rank and experience, and too often simply homogenized them into a sump of “surplus women”. This study helps to rescue the immigrant women from this fate and invests them with individuality and volition, offering the vision of the intercontinentally peripatetic domestic, piloting her way about the globe, taking advantage of colonial labour shortages to maximize her mobility and her family strategies. Best of all, these migrants emerge as individuals out of the mass, faces with names, people with agenda.

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