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[null,"1.","Record Nr.",null,"UNISALENTO991004350835107536"]
[null,null,"Titolo",null,"Come leggere la dislessia e i DSA : conoscere per intervenire : metodologie strumenti percorsi e schede / a cura di Giacomo Stella e Luca Grandi"]
[null,null,"Pubbl/distr/stampa",null,"Firenze : Giunti scuola, 2016"]
[null,null,"ISBN",null,"9788809991118"]
[null,null,"Edizione",null,"[Nuova ed. aggiornata]"]
[null,null,"Descrizione fisica",null,"281 p. : ill. ; 27 cm"]
[null,null,"Collana",null,"Collana guide psicopedagogiche"]
[null,null,"Disciplina",null,"371.9144"]
[null,null,"Soggetti",null,"Dislessia"]
[{"$nulls":4},"Apprendimento - Disturbi"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Sul front.: Online approfondimenti e materiali pronti all'uso"]
[null,"2.","Record Nr.",null,"UNINA9910548166403321"]
[null,null,"Autore",null,"Kabashkin Igor <1954->"]
[null,null,"Titolo",null,"Reliability and Statistics in Transportation and Communication : Selected Papers from the 21st International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication, RelStat2021, 14-15 October 2021, Riga, Latvia / / edited by Igor Kabashkin, Irina Yatskiv, Olegas Prentkovskis"]
[null,null,"Pubbl/distr/stampa",null,"Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022"]
[null,null,"ISBN",null,"3-030-96196-6"]
[null,null,"Edizione",null,"[1st ed. 2022.]"]
[null,null,"Descrizione fisica",null,"1 online resource (621 pages)"]
[null,null,"Collana",null,"Lecture Notes in Networks and Systems, , 2367-3389 ; ; 410"]
[null,null,"Disciplina",null,"380.5"]
[{"$nulls":4},"380"]
[null,null,"Soggetti",null,"Computational intelligence"]
[{"$nulls":4},"Transportation engineering"]
[{"$nulls":4},"Traffic engineering"]
[{"$nulls":4},"Statistics"]
[{"$nulls":4},"Computational Intelligence"]
[{"$nulls":4},"Transportation Technology and Traffic Engineering"]
[{"$nulls":4},"Statistics in Engineering, Physics, Computer Science, Chemistry and Earth Sciences"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Intro -- Preface -- Contents -- Data Science -- Structural Analysis of the NSL-KDD Data Sets for Solving the Problem of Attacks Detection Using ML/DL Methods -- 1 Introduction -- 2 Overview of the NSL-KDD Dataset -- 3 Accuracy Specification -- 4 The Clustering Efficiency for NSL-KDD -- 5 Influence of the Number of Features on the Accuracyof Clustering and Classifying -- 5.1 Experiments for Different Numbers of Features -- 5.2 Feature Reduction Based on Analysis of Variance for Clustering -- 5.3 Reducing the Number of Features Using the AHP-Like Method -- 6 The Discussion of the Results -- 7 Conclusions -- References -- Augmented Reality Data Analysis for Human Needs: Subsistence, Protection, and Leisure -- 1 Introduction -- 2 Related Works -- 3 Theoretical Foundation -- 3.1 Triggers -- 3.2 Human Needs Model -- 3.3 Connecting Needs to Sensors -- 4 Proof of Concept Prototype -- 4.1 Testing -- 4.2 Data "]
[{"$nulls":4},"Preparation -- 4.3 Analysis -- 5 Results -- 5.1 Human Needs Based on Homeostatic Imbalances -- 5.2 Human Needs Based on Habits -- 5.3 AR Experiences Recommendations -- 5.4 Needs-Based Augmented Reality Development Guidelines -- 6 Discussion -- 7 Conclusions -- References -- Fast Inference Based on the Set Theory -- 1 Introduction -- 2 State of the Art -- 3 Indexing and Pre-selection of Facts Relevant to the Query -- 4 Efficiency of Pre-selection of Facts for Reducing of the Search Space -- 5 Experiments -- 6 Conclusion -- References -- Intellectual Analysis of Data on Defective Vehicle Units Using Association Rules -- 1 Introduction -- 2 Methods and Tools Used in Automotive Reliability Analysis: An Overview of the Issue State -- 3 Results: Development and Practical Application of the Web Service for Identifying Defective Vehicle Parts -- 4 Conclusion -- References -- The Neural Network Based Ontology Detection on Unstructured Data Flow."]
[{"$nulls":4},"1 Introduction -- 2 Data Processing -- 2.1 A Data Collection Equipment -- 2.2 Samples for Training a Neural Networks -- 2.3 A Defects Ontology -- 2.4 A Neural Network Learning -- 3 Results -- 4 Conclusion -- 5 Discussion -- References -- Urban Traffic Fingerprints: Identification of Forecasting-Critical Road Segments -- 1 Introduction -- 2 State of the Art -- 3 Methodology -- 4 Empirical Results -- 4.1 Data and Experimental Setup -- 4.2 Results and Discussion -- 5 Conclusions -- References -- Sum of Dependent Variables Generated by Alternating Poisson Flow -- 1 Introduction -- 2 Alternating Poisson Flow -- 3 Moment-Generating Function of Alternating Poisson Flow -- 4 Expectation and Variance of the Sum of Dependent Variables -- 5 Example -- 6 Conclusion -- References -- Aviation -- Fatigue Risk Indicator Model for Aviation Cabin Crew's Fatigue Assessment -- 1 Introduction -- 2 Aviation Cabin Crew's Fatigue -- 3 Research Approach -- 3.1 Bow-Tie Analysis in Fatigue Risk Management -- 3.2 Data Collection -- 3.3 Index Construction for Fatigue Risk Indicator Model -- 4 Results -- 5 Conclusions -- References -- Statistics and Investigation of CF6 Jet Engines Hot Section Failures -- 1 Introduction -- 2 CF6 Engine Models Configuration -- 3 Statistical Analysis of the Engine Performance and Failures -- 3.1 Engine Performance Analysis -- 3.2 EGT and EGT Margin Monitoring -- 3.3 Engine Operation and Maintenance -- 4 Analysis of CF6 Engines Based on Borescope Inspection (BI) -- 4.1 Low Pressure Compressor Borescope Inspection -- 4.2 High Pressure Compressor Results -- 4.3 Combustion Chamber Borescope Inspection Analysis Results -- 4.4 High Pressure Turbine Nozzle Guide Vanes Borescope Results -- 4.5 High Pressure Turbine Borescope Results -- 4.6 Borescope Inspection Summary -- 5 Conclusions -- References."]
[{"$nulls":4},"Models of Decision Support for Aircraft Maintenance Related to Repainting Process -- 1 Introduction -- 2 Theory of Experiment Planning -- 3 Experiment -- 3.1 Materials Preparation -- 3.2 Plain Aluminum Coupons Testing -- 3.3 Test Coupons with Fastener Joints Testing -- 3.4 Test Coupons Weight Change Analysis -- 4 Results and Analysis -- 5 Decision Support Model Discussion -- 6 Conclusion -- References -- Comparative Statistical Analysis of Airport Flight Delays for the Period 2019-2020. Almaty International Airport Case Study -- 1 Introduction -- 2 The COVID-19 Pandemic Impact on European Aviation -- 3 Analysis of Flight Delays at Almaty International Airport -- 4 Conclusion -- References -- Modern Trends in Approaches to Modelling Technical State of Jet Engines -- 1 Introduction -- 2 The Main Approaches of Engine Technical State Assessment -- 2.1 Visual and Borescope Inspection -- 2.2 NDT Inspection -- 2.3 Chip-Detectors Inspection and Oil Investigation -- "]
[{"$nulls":4},"2.4 Vibration Analysis -- 2.5 Engine Condition Monitoring and Expert Systems -- 2.6 Summary of Pros and Cons of Reviewed Methods -- 3 Promising Approaches of Engine Technical State Assessment -- 3.1 Model-Based Diagnostic -- 3.2 AI-Based Diagnostic -- 4 Measurement Parameters Used for Model Definition -- 5 Conclusion -- References -- One-Word Approach in Text-Mining for Value Identification -- 1 Introduction -- 2 Background and Related Works -- 3 Methodology -- 3.1 Experiment Design -- 3.2 Respondents -- 3.3 Results -- 4 Conclusion -- References -- ETL for Aviation Maintenance and Operations as a Multi Objective Optimization Task -- 1 Introduction -- 2 Project Management Success Statistics, Efficiency Evaluation and Failures Reasons -- 2.1 Project Management Efficiency Evaluation -- 2.2 Project Management Statistics -- 2.3 Success Factors and Failure Causes in Projects."]
[{"$nulls":4},"3 The Most Resource-Consuming Aspects of ETL Projects in Aviation Industry -- 4 ETL Problem as a Multi-objective Optimization Task -- 4.1 The Main Stages of ETL Process and Related Errors -- 4.2 Classification of Errors -- 4.3 Indicator of the Number of Eliminated Errors -- 4.4 Experts on a Project as a Resource -- 4.5 Definition of the Multi-objective Optimization Function and Related Constraints -- 5 Conclusions -- References -- Screening Out Candidates for Predictive Analytics in Maintenance, Repairs, and Overhaul Organizations -- 1 Introduction and Work Structure -- 2 Research Questions and Hypotheses of the Study -- 3 The Rationale for Choosing a Model -- 4 Research Methodology -- 5 Case Study -- 6 Conclusion -- References -- Advanced Vibration Diagnostic System for Aviation Jet Engine -- 1 Introduction -- 2 Requirements and Challenges of Advanced Vibration Diagnostics -- 3 Advanced Vibration Diagnostics System -- 3.1 Basic Vibropassport -- 3.2 Typical VP -- 3.3 Individual VP -- 4 Discussion of the VP Practical Application -- 4.1 VP Application Cases -- 4.2 Vibration Diagnostic System Based on VP -- 5 Conclusions -- References -- Optimization of Propeller Performance for a Quadcopter Drone by Applying Aerodynamic Propeller-Ducts -- 1 Introduction -- 2 Methodology -- 2.1 Analytical Calculations of Power Generation with and Without Using Duct -- 2.2 Obtaining the Thrust Value by an Experimental Formula -- 2.3 Design of the Propeller Duct -- 2.4 Modal Analysis -- 2.5 Analysis of the Finite Element Simulations Results -- 2.6 Drop-Test Analysis and Results -- 3 The Experimental Model -- 3.1 Prototyping the Propeller-Duct Using Additive Manufacturing Technology -- 3.2 Testing the Prototype with a Power Observation Experiment -- 4 Conclusion -- References -- Digital Transformation of an Aircraft Operation Ecosystem -- 1 Introduction -- 2 Related Works."]
[{"$nulls":4},"2.1 Ecosystem Definition, Digital and Hybrid Ecosystems -- 2.2 Digital Transformation -- 2.3 Digital Maturity -- 3 Digital Transformation for Aviation Industry Enterprises -- 3.1 Digital Transformation Stages -- 3.2 Structural Areas -- 3.3 Functional Areas -- 3.4 Digital Maturity Assessment and Transition Concept -- 4 Conclusion -- References -- Aircraft Reliability Management as Part of the Implementation of the Digital Ecosystem -- 1 Introduction -- 2 Related Works -- 3 Goals and Tasks of the Reliability Management -- 4 Incorporation of the Aircraft in the Digital Ecosystem -- 5 Modelling of the Decision-Making System -- 6 Conclusion -- References -- Improving the Accuracy of Forecasting the Labour Intensity of Aircraft Heavy Maintenance -- 1 Introduction -- 2 Problem Formulation -- 2.1 Standard Practice -- 2.2 Problems -- 2.3 Literature Review -- 3 Improved Forecasting -- 4 Conclusion -- References -- Optimizing the Level of Slow Moving Aviation Spare Parts Inventory with Economic "]
[{"$nulls":4},"Order Quantity Model Using Bootstrap Method -- 1 Introduction -- 2 Literature Review -- 3 Simulation Scenario and Methodology -- 4 Data Description -- 5 Simulation Results -- 6 Conclusion -- References -- Smart Logistics -- Inventory Policies Under Service Level Target: Comparison in Terms of Relevant Costs and Bullwhip Effect -- 1 Introduction -- 2 Comparisons -- 3 Numerical Experiments -- 4 Summary -- References -- Russian River Shipping: Evolution and Perspectives -- 1 Introduction -- 2 Background -- 3 Methodology -- 4 Findings -- 4.1 Important Shipyards -- 4.2 Size and Age of River Vessels -- 4.3 River Vessel Types and Engines -- 5 Discussion -- 6 Conclusion -- References -- A Combined Strategy of Centralized and Decentralized Inventory Allocation -- 1 Introduction -- 2 Literature Review -- 3 Forming a Combined Inventory Allocation Strategy -- 4 Conclusion."]
[{"$nulls":4},"References."]
[null,null,null,"Sommario/riassunto","This book reports on cutting-edge theories and methods for analyzing complex systems, such as transportation and communication networks and discusses multi-disciplinary approaches to dependability problems encountered when dealing with complex systems in practice. The book presents the most noteworthy methods and results discussed at the 21st International Multidisciplinary Conference on Reliability and Statistics in Transportation and Communication (RelStat), which took place remotely from Riga, Latvia, on October 14 – 15, 2021. It spans a broad spectrum of topics, from mathematical models and design methodologies, to software engineering, data security and financial issues, as well as practical problems in technical systems, such as transportation and telecommunications, and in engineering education. ."]