Leveraging the Service Paradigm for Producing Next Generation E-Governance Applications

2013 ◽  
pp. 267-288
Author(s):  
Pethuru Raj
Keyword(s):  
Model Building ◽  
Communication Technologies ◽  
Building Blocks ◽  
Time Instant ◽  
Human Society ◽  
Application Development ◽  
Event Model ◽  
Service Paradigm ◽  
New Generation ◽  
Cloud Technologies

The 21st century is aptly being termed as e-age. This is with the arrival of a suite of path-breaking and trend-setting computational and communication technologies and tools besides the grand and global installation of wired as well as wireless network infrastructures. As many of yesterday’s concepts, ideas, dreams, vision and desires are being translated into reality today through a host of resilient and robust software, hardware, networking, sensing, perception, and decision-enabling technologies and best practices, it is natural for the total human society to embrace IT and enjoy its direct as well as indirect fruits in a big way with a tinge of assurance. In this context, e-governance methods, platforms, processes and practices also became the cornerstone for effective, efficient, energetic, fast, timely, transparent, and people-centric governance. In this chapter, the author brings forth a new promising, matured, proven, dependable and easy-to-use service technology for designing, developing, deploying, and delivering applications for many of the tasks associated with digitally inspired e-governance. The author has zeroed down on service and cloud technologies as the major drivers for new-generation digital governance. This chapter throws more light on these technologies. Services are stimulating the process-centric approach for application development, modifiability and sustainability. Further on, all kinds of programming models, methods and mechanisms (agile, aspect, component, composite, and event model building blocks) are easily gelling with the supple service paradigm and principles in articulating and actuating dynamic, real-time, instant-on, smart and sophisticated systems.

THE „CLOUDY“ CLASSROOM

2020 ◽  
Vol 11 (2) ◽  
pp. 347-352
Author(s):  
Atanaska Peneva ◽  
Keyword(s):  
Information And Communication Technologies ◽  
Mobile Communications ◽  
Teaching And Learning ◽  
Communication Technologies ◽  
Web Based ◽  
Modern Approach ◽  
Building Information ◽  
Practical Guidelines ◽  
Information And Communication ◽  
Cloud Technologies

The report presents the author’s experience in integrating modern ICT technologies in the process of teaching and learning in school. The emphasis is on the use of mobile devices and the integration of cloud technologies in schools. As an ICT teacher, the author provides some practical guidelines on how to apply innovation. The generation of 7 screens does not know a world without digital technologies and mobile communications. The discrepancy between the expectations of the digital generation and the reality in our schools is in terms of the information and communication technologies (ICT) used in them and the didactic models. Adolescents, when they find themselves in an environment that does not meet their expectations, are demotivated and redirect their attention to other objects and goals and stop being active in class. The use of the so-called. „Cloud“ technologies will significantly increase the interest and retention of students. The modern approach to building information systems is focused on developing solutions in which the collection, input and output of information is carried out through WEB-based applications or platforms.

Global scale hydrological modelling at 100 m, 1 h resolution, in Python

2021 ◽  
Author(s):  
Kor de Jong ◽  
Marc van Kreveld ◽  
Debabrata Panja ◽  
Oliver Schmitz ◽  
Derek Karssenberg
Keyword(s):  
Large Scale ◽  
Model Building ◽  
Flow Direction ◽  
Building Blocks ◽  
Global Scale ◽  
Data Availability ◽  
Hydrological Models ◽  
Continental Scale ◽  
Modelling Framework ◽  
Scale Models

<p>Data availability at global scale is increasing exponentially. Although considerable challenges remain regarding the identification of model structure and parameters of continental scale hydrological models, we will soon reach the situation that global scale models could be defined at very high resolutions close to 100 m or less. One of the key challenges is how to make simulations of these ultra-high resolution models tractable ([1]).</p><p>Our research contributes by the development of a model building framework that is specifically designed to distribute calculations over multiple cluster nodes. This framework enables domain experts like hydrologists to develop their own large scale models, using a scripting language like Python, without the need to acquire the skills to develop low-level computer code for parallel and distributed computing.</p><p>We present the design and implementation of this software framework and illustrate its use with a prototype 100 m, 1 h continental scale hydrological model. Our modelling framework ensures that any model built with it is parallelized. This is made possible by providing the model builder with a set of building blocks of models, which are coded in such a manner that parallelization of calculations occurs within and across these building blocks, for any combination of building blocks. There is thus full flexibility on the side of the modeller, without losing performance.</p><p>This breakthrough is made possible by applying a novel approach to the implementation of the model building framework, called asynchronous many-tasks, provided by the HPX C++ software library ([3]). The code in the model building framework expresses spatial operations as large collections of interdependent tasks that can be executed efficiently on individual laptops as well as computer clusters ([2]). Our framework currently includes the most essential operations for building large scale hydrological models, including those for simulating transport of material through a flow direction network. By combining these operations, we rebuilt an existing 100 m, 1 h resolution model, thus far used for simulations of small catchments, requiring limited coding as we only had to replace the computational back end of the existing model. Runs at continental scale on a computer cluster show acceptable strong and weak scaling providing a strong indication that global simulations at this resolution will soon be possible, technically speaking.</p><p>Future work will focus on extending the set of modelling operations and adding scalable I/O, after which existing models that are currently limited in their ability to use the computational resources available to them can be ported to this new environment.</p><p>More information about our modelling framework is at https://lue.computationalgeography.org.</p><p><strong>References</strong></p><p>[1] M. Bierkens. Global hydrology 2015: State, trends, and directions. Water Resources Research, 51(7):4923–4947, 2015.<br>[2] K. de Jong, et al. An environmental modelling framework based on asynchronous many-tasks: scalability and usability. Submitted.<br>[3] H. Kaiser, et al. HPX - The C++ standard library for parallelism and concurrency. Journal of Open Source Software, 5(53):2352, 2020.</p>

Problems of development of a cloud-oriented educational environment of the university

2020 ◽  
Vol 42 (1) ◽  
pp. 50-56
Author(s):  
Bakhytzhan Akhmetov ◽  
◽  
Valery Lakhno ◽  
Asselkhan Adranova ◽  
Baurzhan Kassymbergebayev ◽  
...  
Keyword(s):  
Information And Communication Technologies ◽  
Communication Technologies ◽  
Educational Environment ◽  
Educational Process ◽  
Teaching Staff ◽  
Digital Competence ◽  
Comprehensive Development ◽  
Information And Communication ◽  
The University ◽  
Cloud Technologies

This article discusses the problems of ever-increasing demands on the organization and quality of the educational process on the part of society. Today there are new opportunities for the comprehensive development of students of the XXI century, new, more effective information and communication technologies (ICT), in particular cloud- oriented learning environments (COLE), are developing rapidly. The problems of the development of theoretical and methodological foundations for designing a cloud-oriented educational environment of the university and the justification of the structural scheme of its interaction with the methodological center of the ministry based on the use of cloud technologies are analyzed. It is necessary to introduce such models of the learning environment, which will allow to fully satisfy the demands of teaching staff on the organization and conduct of classes of a new type, the activation of educational activities of students, the formation of digital competence and the comprehensive development of personality. Such opportunities are provided by the use of a cloud-based educational environment of the university.

scholarly journals Improvement of the SWAT model for event-based flood simulation on a sub-daily timescale

2018 ◽  
Vol 22 (9) ◽  
pp. 5001-5019 ◽  
Author(s):  
Dan Yu ◽  
Ping Xie ◽  
Xiaohua Dong ◽  
Xiaonong Hu ◽  
Ji Liu ◽  
...  
Keyword(s):  
Swat Model ◽  
Human Society ◽  
Flood Events ◽  
Flood Simulation ◽  
Calibration And Validation ◽  
Event Model ◽  
Flood Period ◽  
Simulation Results ◽  
Event Based

Abstract. Flooding represents one of the most severe natural disasters threatening the development of human society. A model that is capable of predicting the hydrological responses in watershed with management practices during flood period would be a crucial tool for pre-assessment of flood reduction measures. The Soil and Water Assessment Tool (SWAT) is a semi-distributed hydrological model that is well capable of runoff and water quality modeling under changed scenarios. The original SWAT model is a long-term yield model. However, a daily simulation time step and a continuous time marching limit the application of the SWAT model for detailed, event-based flood simulation. In addition, SWAT uses a basin level parameter that is fixed for the whole catchment to parameterize the unit hydrograph (UH), thereby ignoring the spatial heterogeneity among the sub-basins when adjusting the shape of the UHs. This paper developed a method to perform event-based flood simulation on a sub-daily timescale based on SWAT2005 and simultaneously improved the UH method used in the original SWAT model. First, model programs for surface runoff and water routing were modified to a sub-daily timescale. Subsequently, the entire loop structure was broken into discrete flood events in order to obtain a SWAT-EVENT model in which antecedent soil moisture and antecedent reach storage could be obtained from daily simulations of the original SWAT model. Finally, the original lumped UH parameter was refined into a set of distributed ones to reflect the spatial variability of the studied area. The modified SWAT-EVENT model was used in the Wangjiaba catchment located in the upper reaches of the Huaihe River in China. Daily calibration and validation procedures were first performed for the SWAT model with long-term flow data from 1990 to 2010, after which sub-daily (Δt=2 h) calibration and validation in the SWAT-EVENT model were conducted with 24 flood events originating primarily during the flood seasons within the same time span. Daily simulation results demonstrated that the SWAT model could yield very good performances in reproducing streamflow for both whole year and flood period. Event-based flood simulation results simulated by the sub-daily SWAT-EVENT model indicated reliable performances, with ENS values varying from 0.67 to 0.95. The SWAT-EVENT model, compared to the SWAT model, particularly improved the simulation accuracies of the flood peaks. Furthermore, the SWAT-EVENT model results of the two UH parameterization methods indicated that the use of the distributed parameters resulted in a more reasonable UH characterization and better model fit compared to the lumped UH parameter.

scholarly journals Embodied AI-Driven Operation of Smart Cities: A Concise Review

2021 ◽  
Author(s):  
FARZAN SHENAVARMASOULEH ◽  
Farid Ghareh Mohammadi ◽  
M. Hadi Amini ◽  
Hamid R. Arabnia
Keyword(s):  
Information And Communication Technologies ◽  
Smart City ◽  
Smart Cities ◽  
Communication Technologies ◽  
Autonomous Driving ◽  
Future Research ◽  
Intelligent Network ◽  
Concise Review ◽  
Information And Communication ◽  
Cloud Technologies

<div>A smart city can be seen as a framework, comprised of Information and Communication Technologies (ICT). An intelligent network of connected devices that collect data with their sensors and transmit them using wireless and cloud technologies in order to communicate with other assets in the ecosystem plays a pivotal role in this framework. Maximizing the quality of life of citizens, making better use of available resources, cutting costs, and improving sustainability are the ultimate goals that a smart city is after. Hence, data collected from these connected devices will continuously get thoroughly analyzed to gain better insights into the services that are being offered across the city; with this goal in mind that they can be used to make the whole system more efficient.</div><div>Robots and physical machines are inseparable parts of a smart city. Embodied AI is the field of study that takes a deeper look into these and explores how they can fit into real-world environments. It focuses on learning through interaction with the surrounding environment, as opposed to Internet AI which tries to learn from static datasets. Embodied AI aims to train an agent that can See (Computer Vision), Talk (NLP), Navigate and Interact with its environment (Reinforcement Learning), and Reason (General Intelligence), all at the same time. Autonomous driving cars and personal companions are some of the examples that benefit from Embodied AI nowadays.</div><div>In this paper, we attempt to do a concise review of this field. We will go through its definitions, its characteristics, and its current achievements along with different algorithms, approaches, and solutions that are being used in different components of it (e.g. Vision, NLP, RL). We will then explore all the available simulators and 3D interactable databases that will make the research in this area feasible. Finally, we will address its challenges and identify its potentials for future research.</div>

Assessment of investment attractiveness for regional sustainable development using methods of economic, statistical and factor analysis

2021 ◽  
pp. 65-81
Author(s):  
Svetlana L. Lozhkina ◽  
Alexander A. Novikov ◽  
Elena A. Chepkasova ◽  
Elena V. Novikova
Keyword(s):  
Sustainable Development ◽  
Factor Analysis ◽  
Information And Communication Technologies ◽  
Descriptive Analysis ◽  
Communication Technologies ◽  
Financial Resources ◽  
Human Society ◽  
Fundamental Goal ◽  
Information And Communication ◽  
Regional Sustainable Development

The modern stage of civilizational processes puts forward "sustainable development" as the fundamental goal, considering this the most important vector of promising transformations of human society. This stage of globalization development reveals the need to make the above processes not spontaneous, but controlled, which can be implemented, inter alia, through a qualitative transformation of tools and technologies used to monitor and predict the development of individual territories. The article presents a methodology for a comprehensive assessment of the investment attractiveness of a region using methods of integrated statistical assessment, including methods of descriptive analysis, and using the method of factor analysis. This method allows monitoring the level of development of information and communication technologies in the region as a whole, as well as in the context of individual types of economic activity in order to determine the main points of bifurcation for the concentration of financial resources in the development of ICT and increase the investment potential of the region as a whole.

Educational Platforms for Online Learning in a Cloud Environment

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Neli Kiskinova ◽  
◽  
◽  
Keyword(s):  
Online Learning ◽  
Distance Learning ◽  
Information And Communication Technologies ◽  
Communication Technologies ◽  
Cloud Environment ◽  
Advantages And Disadvantages ◽  
Information And Communication ◽  
E Learning ◽  
Learning Platforms ◽  
Cloud Technologies

This paper presents the types of distance learning platforms with the use of information and communication technologies. It analyses their main functionalities and outlines the advantages and disadvantages of using cloud technologies in e-learning.

Applications of Subseasonal-to-Seasonal Forecasts: Progress and Future Plans

2021 ◽  
Author(s):  
Christopher White ◽  
Joanne Robbins ◽  
Daniela Domeisen ◽  
Andrew Robertson
Keyword(s):  
Real Time ◽  
Disaster Preparedness ◽  
Best Practice ◽  
Focal Point ◽  
Global Network ◽  
Seasonal Forecasts ◽  
Time Data ◽  
Application Development ◽  
User Communities ◽  
New Generation

&lt;p&gt;Subseasonal-to-seasonal (S2S) forecasts are bridging the gap between weather forecasts and long-range predictions. Decisions in various sectors are made in this forecast timescale, therefore there is a strong demand for this new generation of predictions. While much of the focus in recent years has been on improving forecast skill, if S2S predictions are to be used effectively, it is important that along with scientific advances, we also learn how best to develop, communicate and apply these forecasts.&lt;/p&gt;&lt;p&gt;In this paper, we present recent progress in the applications of S2S forecasts, and provide an overview of ongoing and emerging activities and initiatives from across the wider weather and climate applications and user communities, as follows:&lt;/p&gt;&lt;ul&gt;&lt;li&gt;To support an increased focus on applications, an additional science sub-project focused on S2S applications has been launched on the World Meteorological Organization WWRP-WCRP S2S Prediction Project: http://s2sprediction.net/. This sub-project will provide a focal point for research focused towards S2S applications by exploring the value of applications-relevant S2S forecasts and highlighting the opportunities and challenges facing their uptake.&lt;/li&gt; &lt;li&gt;Also supported by the S2S Prediction Project, the ongoing Real-Time Pilot initiative http://s2sprediction.net/file/documents_reports/16Projects.pdf is making S2S forecasts available to 15 selected projects that are addressing user needs over a two year period (November 2019 through to November 2021). By making this real-time data available, the initiative is drawing on the collective experiences of the researcher and user communities from across the projects. The Real-Time Pilot will develop best practice guidelines for producing useful and useable, application-orientated forecasts and tools that can be used to guide future S2S application development. We will present an update on the initiative, including results from an initial set of questionnaires that focussed on engagement strategies and practices, supporting a review of how projects were designs, the roles and responsibilities of different project participants and the methods used to determine project success.&lt;/li&gt; &lt;li&gt;To increase the uptake and use of S2S forecasts more widely across the research and user communities, we present a new initiative: a global network of researchers, modellers and practitioners focused on S2S applications, called S2Sapp.net &amp;#8211; a community with a shared aim of exploring and promoting cross-sectoral services and applications of this new generation of predictions.&lt;/li&gt; &lt;li&gt;Finally, we will provide an update on a recently-submitted applications community review paper, covering sectoral applications of S2S predictions, including public health, disaster preparedness, water management, energy and agriculture. Drawing from the experience of researchers and users working with S2S forecasts, we explore the value of applications-relevant S2S predictions through a series of sectoral cases where uptake is starting to occur.&lt;/li&gt; &lt;/ul&gt;

Efficacy of Organizational Learning and Social Capital in Online Communities of Practice

2018 ◽  
pp. 96-122 ◽  
Author(s):  
Serkan Gürsoy ◽  
Murat Yücelen
Keyword(s):  
Social Capital ◽  
Organizational Learning ◽  
Communities Of Practice ◽  
Knowledge Sharing ◽  
Information And Communication Technologies ◽  
Online Communities ◽  
Communication Technologies ◽  
Building Blocks ◽  
Information And Communication ◽  
Online Communities Of Practice

This chapter deals with the evolution of communities of practice by considering two key components which facilitate knowledge sharing: Organizational Learning and Social Capital. Dualities and intersections between the building blocks of these two components are investigated by discussing organizational learning in its explorative and exploitative forms, while considering social capital in its bridging and bonding forms. As a critical contemporary step of evolution, information and communication technologies are also elaborated in order to examine the impact of constant and instant tools on these facilitators of knowledge sharing. The study aims to derive proxies among these components of organizational learning and social capital in order to design an integrated framework that reflects the nature of online communities of practice.

scholarly journals Smart covalent organic networks (CONs) with “on-off-on” light-switchable pores for molecular separation

2020 ◽  
Vol 6 (34) ◽  
pp. eabb3188 ◽  
Author(s):  
Jiangtao Liu ◽  
Shaofei Wang ◽  
Tiefan Huang ◽  
Priyanka Manchanda ◽  
Edy Abou-Hamad ◽  
...  
Keyword(s):  
Visible Light ◽  
Molecular Level ◽  
Uv Light ◽  
Building Blocks ◽  
Membrane Selectivity ◽  
Molecular Separation ◽  
Stimuli Response ◽  
Dye Rejection ◽  
New Generation ◽  
Azobenzene Derivatives

Development of the new-generation membranes for tunable molecular separation requires materials with abilities beyond strict separation. Stimuli response could remotely adjust the membrane selectivity. Azobenzene derivatives can be photo-switched between trans and cis isomers under ultraviolet or visible light. Here, the azobenzenes were implanted as light switches to bridge the flexible cyclen building blocks. The smart covalent organic network membranes fold and unfold as origami that can be photo-switched between on-state (large) and off-state (small) pores. The cis membranes with off state under ultraviolet (UV) light have higher dye rejection than trans membranes with on-state channels. By controlling the trans-to-cis azobenzene isomerization via UV/Vis light, the pore size can be remotely controlled at the molecular level and the solvent permeance and dye rejection can be dynamically tuned.

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