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Advances and New Trends in Environmental Informatics : A Bogeyman or Saviour for the un Sustainability Goals?
| Advances and New Trends in Environmental Informatics : A Bogeyman or Saviour for the un Sustainability Goals? |
| Autore | Wohlgemuth Volker |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2022 |
| Descrizione fisica | 1 online resource (288 pages) |
| Altri autori (Persone) |
NaumannStefan
BehrensGrit ArndtHans-Knud |
| Collana | Progress in IS Ser. |
| Soggetto genere / forma | Electronic books. |
| ISBN |
9783030880637
9783030880620 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910513692003321 |
Wohlgemuth Volker
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| Cham : , : Springer International Publishing AG, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances and New Trends in Environmental Informatics 2023 : Sustainable Digital Society
| Advances and New Trends in Environmental Informatics 2023 : Sustainable Digital Society |
| Autore | Wohlgemuth Volker |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (275 pages) |
| Altri autori (Persone) |
KranzlmüllerDieter
HöbMaximilian |
| Collana | Progress in IS Series |
| ISBN | 3-031-46902-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Contents -- Part I Environmental Modeling and Monitoring -- Reviewing Explainable Artificial Intelligence Towards Better Air Quality Modelling -- 1 Introduction -- 2 Materials, Methods, and Concepts -- 2.1 Explainable Artificial Intelligence Basic Methods -- 2.2 Air Quality and ML Related Explainable Methods -- 3 Explainable AI in the Field of Air Quality -- 4 Discussion -- 5 Conclusions -- References -- Commonalities and Differences in ML-Pipelines for Air QualitySystems -- 1 Introduction -- 2 Methods -- 2.1 The Fog Computing Approach in AQ Systems of the WSB Merito University in Gdansk -- 2.1.1 Considerations for Pre-processing Data in the Fog Layer -- 2.1.2 Preliminary Studies of AQ Data Processing to Assess the Possibility of Their Use in the Fog Layer -- 2.2 The Aristotle University Thessaloniki ML Pipeline -- 2.3 University of Applied Sciences Bielefeld -- 2.3.1 Data Pre-processing -- 2.3.2 Feature Engineering -- 2.3.3 Data Modelling -- 3 Comparison and Discussion -- 4 Conclusions -- References -- Optimal Stacking Identification for the Machine Learning Assisted Improvement of Air Quality Dispersion Modelingin Operation -- 1 Introduction -- 2 Materials and Methods -- 2.1 Machine Learning Models and Genetic Algorithm -- 2.2 Genetic Algorithm Hybrid Stacking -- 3 Results -- 4 Discussion -- 5 Conclusions -- References -- Concepts for Open Access Interdisciplinary Remote Sensing with ESA Sentinel-1 SAR Data -- 1 Introduction -- 2 State-of-the-Art/Research -- 2.1 Remote Sensing -- 2.2 Algorithm/Software Development in Science -- 3 Previous Work -- 4 Concepts for New Solutions -- 4.1 The Sentinel-1 SAR Processing Tool Software Architecture -- 4.2 Main Focus -- 5 Challenges and Limitations -- 6 Conclusion -- References -- Part II Technological Advances and Sustainability.
Developing a Digitisation Dashboard for Industry-Level Analysis of the ICT Sector -- 1 Introduction -- 2 Literature Review -- 2.1 Overview -- 2.2 Industry Analysis -- 2.3 Patent Analysis for Industry Analysis -- 2.4 Dashboards for Visualization -- 3 Research Methodology -- 4 Dashboard Design -- 5 Evaluation -- 5.1 Heuristic Evaluation -- 5.2 Results -- 6 Conclusion and Future Work -- References -- The Bike Path Radar: A Dashboard to Provide New Information About Bicycle Infrastructure Quality -- 1 Introduction -- 2 State of the Art and Research Gap -- 3 Website -- 3.1 Structure and Technologies -- 3.2 KPIs -- 4 Data -- 4.1 Time Series Data -- 4.2 API -- 5 AI Approach -- 5.1 Surface Types and Damages on Bicycle Paths -- 5.2 AI Model for Damage Detection -- 5.3 AI Model for Damage Detection -- 6 Conclusion and Outlook -- References -- Tactics for Software Energy Efficiency: A Review -- 1 Introduction -- 2 Related Work -- 3 Definitions -- 3.1 System and Software Levels -- 3.2 Energy Efficiency Optimization -- 3.3 Platforms -- 3.4 Abstraction Levels -- 3.5 Software Development Life Cycle -- 4 Study Design -- 4.1 Research Goal -- 4.2 Research Questions -- 4.3 Search Strategy -- 4.3.1 Initial Search -- 4.3.2 Impurity Removal -- 4.3.3 Application of Selection Criteria -- 4.3.4 Snowballing -- 4.3.5 Use of Secondary Studies for Snowballing -- 4.4 Data Extraction -- 4.4.1 Characteristics of Tactics for Software Energy Efficiency -- 4.4.2 Potential for Industrial Adoption -- 4.4.3 Use of Extended Papers -- 4.5 Data Synthesis -- 4.6 Study Replicability -- 5 Results RQ1: Characteristics of Tactics for Software Energy Efficiency -- 5.1 Publication Trends -- 5.1.1 Publication Year -- 5.1.2 Publication Types -- 5.1.3 Publication Venues -- 5.2 Tactic Properties -- 5.2.1 Execution Environment -- 5.2.2 Tactic Goal -- 5.2.3 Execution Environments and Tactic Goals. 5.2.4 Abstraction Level -- 5.2.5 Software Development Stage -- 5.2.6 Platform -- 6 Results RQ2: Potential for Industrial Adoption -- 6.1 Industrial Involvement -- 6.2 Rigor and Industrial Relevance -- 7 Discussion -- 8 Threats to Validity -- 9 Conclusion -- References -- everWeather: A Low-Cost and Self-Powered AIoT Weather Forecasting Station for Remote Areas -- 1 Introduction -- 2 Related Work -- 3 everWeather System -- 3.1 Hardware -- 3.2 Forecasting Algorithm -- 3.3 System Configuration -- 3.4 API for Data Monitoring and Storing -- 4 Experimentation -- 4.1 Deployment -- 4.2 Data Analysis -- 4.3 Forecasting Results -- 5 Conclusions and Future Work -- Funding -- References -- Part III Data-Driven Approaches to Environmental Analysis -- News from Europe's Digital Gateway: A Proof of Concept for Mapping Data Centre News Coverage -- 1 Introduction -- 2 Public Debates Towards Data Centres -- 3 Research Methodology -- 3.1 Data Collection -- 3.2 Article Content Analysis -- 3.3 Data Extraction -- 3.4 Mapping of News Articles -- 4 Results -- 4.1 Identified Categories -- 4.2 Spatial Differences and Category Co-occurrence -- 4.2.1 Municipal Findings -- 4.2.2 Categorical Findings -- 5 Discussion -- 5.1 Amsterdam -- 5.2 Zeewolde -- 5.3 Groningen -- 5.4 Hollands Kroon -- 6 Limitations -- 7 Future Work -- References -- GAEA: A Country-Scale Geospatial Environmental Modelling Tool: Towards a Digital Twin for Real Estate -- 1 Introduction -- 2 Literature Review -- 3 The GAEA Tool -- 3.1 GAEA User Interface -- 3.2 Software Architecture -- 3.3 Implementation Details -- 3.4 GAEA Environmental Services Overview -- 3.5 Evaluation and Results -- 4 Discussion -- 5 Conclusion -- References -- Detecting Effects on Soil Moisture with Guerilla Sensing -- 1 Introduction -- 2 The Microclover Challenge -- 3 Related Work -- 4 Guerilla Sensing as Soil Moisture Observation System. 5 Soil Moisture Sensor Selection -- 5.1 Sensor Exploration -- 5.2 Sensor Experiments -- 6 Microclover G-Boxes Setup -- 7 Microclover SMOS Evaluation and Parameterization -- 8 Conclusion -- References -- Data Management of Heterogeneous Bicycle Infrastructure Data -- 1 Introduction -- 2 Introduction Data Sources -- 2.1 Data Use in Cycling Planning -- 2.2 The INFRASense Project -- 2.3 Time Series Data -- 2.4 Non-time Series Data -- 3 Data Lake and Data Pipeline -- 4 Data Models -- 4.1 Time Series Data -- 4.2 Non-time Series Data -- 5 Conclusion and Outlook -- References -- Part IV Sustainable Planning and Infrastructure -- Evaluation of Incentive Systems in the Context of SusCRM in a Local Online Retail Platform -- 1 Introduction -- 1.1 Motivation -- 1.2 State of Art -- 2 SusCRM in a Local Online Retail Platform -- 2.1 Alignment of the Online Retail Platform -- 2.2 Incentive Systems in the Context of a Local Online Retail Platform -- 2.3 SusCRM in the Online Customer Journey -- 3 Evaluation of Different Incentive Systems -- 3.1 Research Hypothesis and Method -- 3.2 Results -- 4 Discussion -- 5 Future Outlook -- References -- Geospatial Data Processing and Analysis of Cross-Border Rail Infrastructures in Europe -- 1 Introduction -- 1.1 Background -- 1.2 Aim of the Work -- 1.3 Structure -- 2 The Search for Influencing Factors -- 3 Collection and Processing of the Geographic Data -- 3.1 Creation of the Base Map -- 3.2 Data on Railway Infrastructure -- 3.3 Identification of the Intersections -- 3.4 Preliminary Result -- 3.5 Filtering Border Regions with CBRCs -- 3.6 Identification of all European Border Regions -- 4 Analysis of Potential Influencing Factors -- 4.1 Analysis of Language as an Influencing Factor -- 4.2 Analysis of the Economy as an Influencing Factor -- 4.3 Analysis of Population Size as an Influencing Factor. 4.4 Analysis of Tourism as an Influencing Factor -- 4.5 Analysis of Natural Borders as an Influencing Factor -- 5 Results -- 5.1 Language -- 5.2 Tourism -- 5.3 Economy -- 5.4 Population -- 5.5 Natural Borders -- 6 Discussion and Outlook -- References. |
| Record Nr. | UNINA-9910835061403321 |
| Wohlgemuth Volker | ||
| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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