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[null,"1.","Record Nr.",null,"UNINA9910502999503321"]
[null,null,"Titolo",null,"Big data platforms and applications : case studies, methods, techniques, and performance evaluation / / Florin Pop, Gabriel Neagu, editors"]
[null,null,"Pubbl/distr/stampa",null,"Cham, Switzerland : , : Springer, , [2021]"]
[{"$nulls":4},"©2021"]
[null,null,"ISBN",null,"3-030-38836-0"]
[null,null,"Descrizione fisica",null,"1 online resource (300 pages)"]
[null,null,"Collana",null,"Computer Communications and Networks"]
[null,null,"Disciplina",null,"005.7"]
[null,null,"Soggetti",null,"Big data"]
[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 -- Acknowledgments -- Contents -- About the Editors -- 1 Data Center for Smart Cities: Energy and Sustainability Issue -- 1.1 Introduction -- 1.2 State-of-The-Art Overview -- 1.3 Methodology -- 1.3.1 Data Center Facilities and Dataset Description -- 1.3.2 Data Analysis -- 1.3.3 Metrics -- 1.3.4 Energy Waste Analysis -- 1.4 Results: DC Cluster Energy Consumption -- 1.4.1 Energy Use by Applications -- 1.4.2 Energy Analysis of Queues of Jobs -- 1.4.3 Energy Use by Parallel and Serial Jobs -- 1.4.4 Assessment of Useful Work -- 1.4.5 Assessment of Energy Waste -- 1.4.6 Sustainability Analysis -- 1.5 Discussion -- 1.5.1 Energy Efficiency Benefits and Concerns of Jobs Execution in Parallel Mode -- 1.5.2 Data Center Energy Efficiency Policies and Strategies -- 1.5.3 Sustainability-Oriented DC -- 1.6 Conclusion -- References -- 2 Apache Spark for Digitalization, Analysis and Optimization of Discrete Manufacturing Processes -- 2.1 Introduction -- 2.2 Background -- 2.2.1 IoT for Smart Manufacturing Processes -- 2.2.2 Machine Learning Approaches for Manufacturing Process Analysis -- 2.2.3 Manufacturing Processes Optimization Literature Approaches -- 2.2.4 Bio-Inspired Techniques for Tuning the Parameters of Machine Learning Models -- 2.2.5 Approaches Used in Our Research for the Analysis of the Faults in Manufacturing Processes -- 2.3 Materials and Methods -- 2.3.1 Architectural Prototype for Simulating the Manufacturing of FL Series Regulators -- 2.3.2 Machine Learning Methodology for Detecting Faulty Products in Discrete Manufacturing Processes -- 2.3.3 Data Preprocessing in KNIME (Konstanz Information Miner) -- 2.3.4 Discrete "]
[{"$nulls":4},"Manufacturing Processes Optimization Based on Big Data Technologies -- 2.4 Results -- 2.4.1 Description of the Datasets Used in Experiments -- 2.4.2 Classification Results -- 2.5 Discussion -- 2.6 Conclusions."]
[{"$nulls":4},"References -- 3 An Empirical Study on Teleworking Among Slovakia's Office-Based Academics -- 3.1 Introduction -- 3.2 Methodology -- 3.3 Meaning of Telecommuting or Teleworking -- 3.3.1 Teleworking in Slovakia -- 3.4 Office-Based Teleworking Results -- 3.5 Discussion -- 3.6 Conclusions -- References -- 4 Data and Systems Heterogeneity: Analysis on Data, Processing, Workload, and Infrastructure -- 4.1 Introduction -- 4.2 Data Types, Formats, and Models -- 4.3 Processing Models and Platforms -- 4.4 Workload Types -- 4.5 Infrastructure Types -- 4.6 Conclusion -- References -- 5 exhiSTORY: Smart Self-organizing Exhibits -- 5.1 Introduction -- 5.2 The Stories Told by Exhibits -- 5.3 The Smart Exhibit -- 5.3.1 Centralized System Control -- 5.3.2 Automated Exhibit Geolocation -- 5.3.3 Security Aspects -- 5.3.4 Selecting an Implementation Option for Smart Exhibits -- 5.4 System Architecture -- 5.4.1 The Smart Space -- 5.4.2 The Knowledge Base -- 5.4.3 The Intelligent Modules -- 5.5 The exhiSTORY System in Operation -- 5.6 Discussion and Conclusions -- References -- 6 IoT Cloud Security Design Patterns -- 6.1 Introduction -- 6.2 Design of IoT Architecture Layers -- 6.2.1 Security Aspects -- 6.3 IoT Network Design Patterns -- 6.3.1 Security of IoT Networks -- 6.3.2 Design Patterns for a Secure IoT Network -- 6.4 IoT Cloud Platform Design Patterns -- 6.4.1 Security Division Pattern -- 6.4.2 Digital Twin Pattern -- 6.4.3 Secure Design Through Microservices -- 6.4.4 Push Notification Pattern -- 6.4.5 Cloud and Smartphone Management Pattern -- 6.4.6 Cloud-Assisted Network Access Pattern -- 6.5 Discussion and Conclusion -- References -- 7 Cloud-Based mHealth Streaming IoT Processing -- 7.1 Introduction -- 7.2 Overview of Underlying Technology for mHealth Solutions -- 7.3 Overview of IoT mHealth Solutions -- 7.4 Cloud-Based Architectures."]
[{"$nulls":4},"7.5 Issues for Streaming mHealth IoT Solutions -- 7.6 Architectures for Streaming mHealth IoT Solutions -- 7.7 Discusion -- 7.7.1 Comparison of Architectural Concepts -- 7.7.2 Benefits -- 7.7.3 Use Case: A Monitoring Center Based on Streaming IoT mHealth Solutions -- 7.8 Conclusion -- References -- 8 A System for Monitoring Water Quality Parameters in Rivers. Challenges and Solutions -- 8.1 Introduction -- 8.2 Water Quality Monitoring Systems Challenges -- 8.2.1 Water Quality Parameters Acquisition Using WSNs -- 8.2.2 Pollution Detection -- 8.2.3 Standards for Hydrographic and Monitoring Data -- 8.3 A Service-Based System Architecture for Water Quality Monitoring -- 8.3.1 Data Sources -- 8.3.2 Data Storage, Processing and Data Provision Services -- 8.3.3 Information Services -- 8.4 A Pollution Detection System for Somes River -- 8.4.1 Data Acquisitions and Storage -- 8.4.2 Discharge Computation -- 8.4.3 The Rule-Based Automatic Assessment of Water Quality and Pollution Alert Service -- 8.4.4 Simulation of Pollutant Propagation -- 8.4.5 The Water Quality Information Web Application -- 8.5 Conclusions -- References -- 9 A Survey on Privacy Enhancements for Massively Scalable Storage Systems in Public Cloud Environments -- 9.1 Introduction -- 9.2 Cloud Storage Encryption Prerequisites -- 9.3 Scalable Cloud Storage Encryption Schemes -- 9.4 Technology Survey Regarding Service Providers -- 9.5 Technology Survey Regarding Classic and Emerging Cryptographic Primitives -- 9.5.1 Confidentiality Primitives -- 9.5.2 Integrity Primitives -- 9.6 Technology Survey Regarding Third-Party Applications -- 9.6.1 Viivo -- 9.6.2 AES Crypt -- 9.7 Proposed Solution -- 9.7.1 Architecture -- 9.7.2 General Description -- 9.7.3 The Java Card Applet -- 9.7.4 Storage Layout and Data Structures -- References."]
[{"$nulls":4},"10 Energy Efficiency of Arduino Sensors Platform Based on Mobile-Cloud: A Bicycle Lights Use-Case -- 10.1 Introduction -- 10.2 Mobile Cloud Computing -- 10.3 The System for Energy Efficiency of Arduino Sensors -- 10.4 Smart Bicycle Lighting Architecture -- 10.5 Conclusions -- References -- 11 Cloud-Enabled Modeling of Sensor Networks in Educational Settings -- 11.1 Introduction -- 11.2 Related Work -- 11.2.1 Sensor Cloud -- 11.2.2 Education Cloud -- 11.3 Sensor Network Modeling -- 11.3.1 Language and Tools -- 11.3.2 Extensions and Model Interpreters -- 11.4 System Architecture -- 11.5 Educational Service in Cloud -- 11.5.1 Service Request and Handling -- 11.5.2 The Provisioning Process -- 11.6 Experimental Results -- 11.7 Conclusion -- References -- 12 Methods and Techniques for Automatic Identification System Data Reduction -- 12.1 Introduction -- 12.2 Related Work -- 12.3 AIS Technology -- 12.4 Algorithm Analysis -- 12.4.1 Analyzing the Data Set -- 12.5 Experimental Evaluation -- 12.5.1 Analyzed Data -- 12.5.2 Data Reduction Applied on AIS Data Set -- 12.5.3 Data Visualization -- 12.6 Conclusion and Future Work -- References -- 13 Machine-to-Machine Model for Water Resource Sharing in Smart Cities -- 13.1 Introduction -- 13.2 Current Stage of Development in the Field -- 13.2.1 EOMORES Project-Copernicus Platform -- 13.2.2 AquaWatch Project -- 13.2.3 SmartWater4Europe Project -- 13.2.4 OPC UA with MEGA Model Architecture -- 13.2.5 WATER-M Project -- 13.3 Smart City Water Management Available Technologies -- 13.3.1 GIS (Geographic Information System) -- 13.3.2 IBM Water Management Platform -- 13.3.3 TEMBOO Platform-IoT Applications -- 13.3.4 RoboMQ -- 13.4 Proposed Model and Possible Directions -- 13.5 Possibilities of Implementation -- 13.5.1 Message-Oriented Middleware-RabbitMQ -- 13.6 Conclusions -- References -- Index."]
[null,"2.","Record Nr.",null,"UNINA9910799956003321"]
[null,null,"Titolo",null,"The international politics of surplus capacity : competition for market shares in the world recession / / edited by Susan Strange and Roger Tooze"]
[null,null,"Pubbl/distr/stampa",null,"Abingdon, Oxon : , : Routledge, , 2010"]
[null,null,"ISBN",null,"1-136-99886-1"]
[{"$nulls":4},"1-136-99887-X"]
[{"$nulls":4},"1-282-97402-5"]
[{"$nulls":4},"9786612974021"]
[{"$nulls":4},"0-203-85562-0"]
[null,null,"Descrizione fisica",null,"1 online resource (193 p.)"]
[null,null,"Collana",null,"Routledge Revivals"]
[null,null,"Disciplina",null,"338.5144"]
[null,null,"Soggetti",null,"Export marketing"]
[{"$nulls":4},"International economic relations"]
[{"$nulls":4},"Surplus (Economics)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","First published in 1981 by George Allen & Unwin Ltd."]
[null,null,null,"Nota di bibliografia","Includes bibliographies and index."]
[null,null,"Nota di contenuto",null,"Book Cover; Title01; Copyright01; Title02; Copyright02; Contents; Preface; Part One: Introduction; 1 States and Markets in Depression: Managing Surplus Industrial Capacity in the 1970s; Part Two: Perspectives on the Problem; 2 Interpreting Excess Capacity; 3 Contending Perspectives on the Problem of the Management of Surplus Capacity; 4 Recessions and the World Economic Order; 5 Tariffs as Constitutions; Part Three: Surplus Capacity by Sector; 6 Iron and Steel; 7 Textiles and Clothing; 8 Shipping and Shipbuilding; 9 Petrochemicals; 10 Banking and Insurance"]
[{"$nulls":4},"Part Four: The Practice of Managing Surplus Capacity11 The Response of the European Community; 12 The American Steel Industry and International Competition; 13 Responses of a Multinational Corporation to the Problem of Surplus Capacity; Part Five: Policy Options; 14 American Views and Choices; 15 Prospects for the 1980s-a Japanese View; Part Six: Prescriptions; 16 An Alternative to Market-Sharing; 17 Restructuring out of Recession; 18 Government Responsibility for Industrial Restructuring; Part Seven: What Now?"]
[{"$nulls":4},"19 Conclusion: the Management of Surplus Capacity and International Political EconomyNotes on Contributors; Index"]
[null,null,null,"Sommario/riassunto","This important survey, first published in 1981, presents some different and often contending perceptions of the problem of surplus capacity as it re-emerged in the world of the 1980s - an economic climate with many parallels to the current era. Susan Strange and Roger Tooze deliberately assembled writers of many different nationalities, professional backgrounds and ideological convictions and asked them to make the case for their version of the problem. Some even doubt if there really is much of a problem at all. Others see it as fundamentally political, or monetary; as inherent in the capi"]