Machine learning for cyber physical systems : selected papers from the international conference ML4CPS 2020 ; Berlin, Germany, March 12-13, 2020 / / editors, Jürgen Beyerer, Alexander Maier, Oliver Niggemann |
Autore | Beyerer Jürgen |
Edizione | [1st edition 2021.] |
Pubbl/distr/stampa | Springer Nature, 2021 |
Descrizione fisica | 1 online resource (VII, 130 p. 42 illus., 25 illus. in color.) |
Disciplina | 621.38 |
Collana | Technologies for Intelligent Automation |
Soggetto topico | Machine learning |
Soggetto non controllato |
Cyber-physical systems, IoT
Communications Engineering, Networks Computer Systems Organization and Communication Networks Cyber-Physical Systems Computer Engineering and Networks Machine Learning Artificial Intelligence Cognitive Robotics Internet of Things Computational intelligence Computer-based algorithms Smart grid Open Access Industry 4.0 Electrical engineering Cybernetics & systems theory Communications engineering / telecommunications Computer networking & communications |
ISBN | 3-662-62746-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- Energy Profile Prediction of Milling Processes Using Machine Learning Techniques -- Improvement of the prediction quality of electrical load profiles with artficial neural networks -- Detection and localization of an underwater docking station -- Deployment architecture for the local delivery of ML-Models to the industrial shop floor -- Deep Learning in Resource and Data Constrained Edge Computing Systems -- Prediction of Batch Processes Runtime Applying Dynamic Time Warping and Survival Analysis -- Proposal for requirements on industrial AI solutions -- Information modeling and knowledge extraction for machine learning applications in industrial production systems -- Explanation Framework for Intrusion Detection -- Automatic Generation of Improvement Suggestions for Legacy, PLC Controlled Manufacturing Equipment Utilizing Machine Learning -- Hardening Deep Neural Networks in Condition Monitoring Systems against Adversarial Example Attacks -- First Approaches to Automatically Diagnose and Reconfigure Hybrid Cyber-Physical Systems -- Machine learning for reconstruction of highly porous structures from FIB-SEM nano-tomographic data. |
Record Nr. | UNINA-9910433248603321 |
Beyerer Jürgen
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Springer Nature, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Management 4.0 : Cases and Methods for the 4th Industrial Revolution / James R. Reagan, Madhusudan Singh |
Autore | Reagan, James R. |
Pubbl/distr/stampa | Singapore, : Springer, 2020 |
Descrizione fisica | xvii, 175 p. : ill. ; 24 cm |
Altri autori (Persone) | Singh, Madhusudan |
Soggetto topico |
68-XX - Computer science [MSC 2020]
01-XX - History and biography [MSC 2020] 62-XX - Statistics [MSC 2020] 91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] |
Soggetto non controllato |
Artificial Intelligence
Big Data Data-driven science, modeling and theory building Finance and Blockchain Industrial Robotics Industry 4.0 Intelligent Industrial Systems Internet of Things Smart Cities Smart Grid Virtual Reality Wearable devices |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0233873 |
Reagan, James R.
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Singapore, : Springer, 2020 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Middleware Solutions for Wireless Internet of Things |
Autore | Das Sajal K |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (262 p.) |
Soggetto non controllato |
container
fog computing virtual reality privacy and security software defined infrastructure intelligent medical service very long instruction word (VLIW) semantics privacy leakage detection context information post-copy ontology body area network DSP Internet-of-Things Mobile Device Management interoperability Android water consumption Processing-in-Memory performance analysis semantic mobility data management CRIU training simulator Industry 4.0 sensor networks experimental evaluation programming paradigm pre-copy microservice-oriented platform CubeSats middleware registry smart metering big data analytics nanosatellites medium access control Internet of Things heterogeneity web-of-things one-to-one computing educational program Web-of-Things internet of things instruction set extension microservices architecture migration behaviour wireless access networks |
ISBN | 3-03921-037-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910346691903321 |
Das Sajal K
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Mobile Edge Computing [[electronic resource]] |
Autore | Zhang Yan |
Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2021 |
Descrizione fisica | 1 online resource (123 p.) |
Collana | Simula SpringerBriefs on Computing |
Soggetto topico |
Mobile & handheld device programming / Apps programming
WAP (wireless) technology Electrical engineering Computing & information technology |
Soggetto non controllato |
Open Access
mobile edge computing 5G beyond 6G edge caching Internet of Things UAV |
ISBN | 3-030-83944-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Acknowledgements -- Contents -- Acronyms -- 1 Introduction -- 1.1 Mobile Cloud Computing (MCC) -- 1.2 Overview of MEC -- 1.3 Book Organization -- 2 Mobile Edge Computing -- 2.1 A Hierarchical Architecture of Mobile Edge Computing (MEC) -- 2.2 Computation Model -- 2.2.1 Computation Model of Local Execution -- 2.2.2 Computation Model of Full Offloading -- 2.2.3 A Computation Model for Partial Offloading -- 2.3 Offloading Policy -- 2.3.1 Binary Offloading -- 2.3.2 Partial Offloading -- 2.4 Challenges and Future Directions -- 3 Mobile Edge Caching -- 3.1 Introduction
3.2 The Architecture of Mobile Edge Caching -- 3.3 Caching Performance Metrics -- 3.3.1 Hit Rate Ratio -- 3.3.2 Content Acquisition Latency -- 3.3.3 Quality of Experience (QoE) -- 3.3.4 Caching System Utility -- 3.4 Caching Service Design and Data Scheduling Mechanisms -- 3.4.1 Edge Caching Based on Network Infrastructure Services -- 3.4.2 Edge Caching Based on D2D Services -- 3.4.3 Hybrid Service-Enabled Edge Caching -- 3.5 Case Study: Deep Reinforcement Learning-Empowered … -- 3.5.1 System Model -- 3.5.2 Problem Formulation and a DDPG-Based Optimal Content Dispatch Scheme 3.5.3 Numerical Results -- 4 Mobile Edge Computing for Beyond 5G/6G -- 4.1 Fundamental Characteristics of 6G -- 4.2 Integrating Mobile Edge Computing (MEC) … -- 4.2.1 Use Cases of Integrating MEC into 6G -- 4.2.2 Applications of Integrating MEC into 6G -- 4.2.3 Challenges of Integrating MEC into 6G -- 4.3 Case Study: MEC-Empowered Edge Model Sharing for 6G -- 4.3.1 Sharing at the Edge: From Data to Model -- 4.3.2 Architecture of Edge Model Sharing -- 4.3.3 Processes of Edge Model Sharing -- 5 Mobile Edge Computing for the Internet of Vehicles -- 5.1 Introduction -- 5.2 Challenges in VEC 5.3 Architecture of VEC -- 5.4 Key Techniques of VEC -- 5.4.1 Task Offloading -- 5.4.2 Heterogeneous Edge Server Cooperation -- 5.4.3 AI-Empowered VEC -- 5.5 A Case Study -- 5.5.1 Predictive Task Offloading for Fast-Moving Vehicles -- 5.5.2 Deep Q-Learning for Vehicular Computation Offloading -- 6 Mobile Edge Computing for UAVs -- 6.1 Unmanned Aerial Vehicle-Assisted Mobile Edge Computing (MEC) Networks -- 6.2 Joint Trajectory and Resource Optimization in UAV-Assisted MEC Networks -- 6.2.1 Resource Allocation and Optimization in the Scenario of a UAV Exploiting MEC Computing Capabilities 6.2.2 Resource Allocation and Optimization in the Scenario of a UAV Serving as a Computing Server -- 6.2.3 Resource Allocation and Optimization in the Scenario of a UAV Serving as a Relay for Computation Offloading -- 6.3 Case Study: UAV Deployment and Resource Optimization for MEC at a Wind Farm -- 6.3.1 UAV Deployment for MEC at a Wind Farm -- 6.3.2 Joint Trajectory and Resource Optimization of UAV-Aided MEC at a Wind Farm -- 6.4 Conclusions -- 7 The Future of Mobile Edge Computing -- 7.1 The Integration of Blockchain and Mobile Edge Computing (MEC) -- 7.1.1 The Blockchain Structure 7.1.2 Blockchain Classification |
Record Nr. | UNISA-996464547003316 |
Zhang Yan
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Cham, : Springer International Publishing AG, 2021 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Mobile Edge Computing |
Autore | Zhang Yan |
Pubbl/distr/stampa | Cham, : Springer International Publishing AG, 2021 |
Descrizione fisica | 1 online resource (123 p.) |
Collana | Simula SpringerBriefs on Computing |
Soggetto topico |
Mobile & handheld device programming / Apps programming
WAP (wireless) technology Electrical engineering Computing & information technology |
Soggetto non controllato |
Open Access
mobile edge computing 5G beyond 6G edge caching Internet of Things UAV |
ISBN | 3-030-83944-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Acknowledgements -- Contents -- Acronyms -- 1 Introduction -- 1.1 Mobile Cloud Computing (MCC) -- 1.2 Overview of MEC -- 1.3 Book Organization -- 2 Mobile Edge Computing -- 2.1 A Hierarchical Architecture of Mobile Edge Computing (MEC) -- 2.2 Computation Model -- 2.2.1 Computation Model of Local Execution -- 2.2.2 Computation Model of Full Offloading -- 2.2.3 A Computation Model for Partial Offloading -- 2.3 Offloading Policy -- 2.3.1 Binary Offloading -- 2.3.2 Partial Offloading -- 2.4 Challenges and Future Directions -- 3 Mobile Edge Caching -- 3.1 Introduction
3.2 The Architecture of Mobile Edge Caching -- 3.3 Caching Performance Metrics -- 3.3.1 Hit Rate Ratio -- 3.3.2 Content Acquisition Latency -- 3.3.3 Quality of Experience (QoE) -- 3.3.4 Caching System Utility -- 3.4 Caching Service Design and Data Scheduling Mechanisms -- 3.4.1 Edge Caching Based on Network Infrastructure Services -- 3.4.2 Edge Caching Based on D2D Services -- 3.4.3 Hybrid Service-Enabled Edge Caching -- 3.5 Case Study: Deep Reinforcement Learning-Empowered … -- 3.5.1 System Model -- 3.5.2 Problem Formulation and a DDPG-Based Optimal Content Dispatch Scheme 3.5.3 Numerical Results -- 4 Mobile Edge Computing for Beyond 5G/6G -- 4.1 Fundamental Characteristics of 6G -- 4.2 Integrating Mobile Edge Computing (MEC) … -- 4.2.1 Use Cases of Integrating MEC into 6G -- 4.2.2 Applications of Integrating MEC into 6G -- 4.2.3 Challenges of Integrating MEC into 6G -- 4.3 Case Study: MEC-Empowered Edge Model Sharing for 6G -- 4.3.1 Sharing at the Edge: From Data to Model -- 4.3.2 Architecture of Edge Model Sharing -- 4.3.3 Processes of Edge Model Sharing -- 5 Mobile Edge Computing for the Internet of Vehicles -- 5.1 Introduction -- 5.2 Challenges in VEC 5.3 Architecture of VEC -- 5.4 Key Techniques of VEC -- 5.4.1 Task Offloading -- 5.4.2 Heterogeneous Edge Server Cooperation -- 5.4.3 AI-Empowered VEC -- 5.5 A Case Study -- 5.5.1 Predictive Task Offloading for Fast-Moving Vehicles -- 5.5.2 Deep Q-Learning for Vehicular Computation Offloading -- 6 Mobile Edge Computing for UAVs -- 6.1 Unmanned Aerial Vehicle-Assisted Mobile Edge Computing (MEC) Networks -- 6.2 Joint Trajectory and Resource Optimization in UAV-Assisted MEC Networks -- 6.2.1 Resource Allocation and Optimization in the Scenario of a UAV Exploiting MEC Computing Capabilities 6.2.2 Resource Allocation and Optimization in the Scenario of a UAV Serving as a Computing Server -- 6.2.3 Resource Allocation and Optimization in the Scenario of a UAV Serving as a Relay for Computation Offloading -- 6.3 Case Study: UAV Deployment and Resource Optimization for MEC at a Wind Farm -- 6.3.1 UAV Deployment for MEC at a Wind Farm -- 6.3.2 Joint Trajectory and Resource Optimization of UAV-Aided MEC at a Wind Farm -- 6.4 Conclusions -- 7 The Future of Mobile Edge Computing -- 7.1 The Integration of Blockchain and Mobile Edge Computing (MEC) -- 7.1.1 The Blockchain Structure 7.1.2 Blockchain Classification |
Record Nr. | UNINA-9910502647303321 |
Zhang Yan
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Cham, : Springer International Publishing AG, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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New types of Neutrosophic Set/Logic/Probability, Neutrosophic Over-/Under-/Off-Set, Neutrosophic Refined Set, and their Extension to Plithogenic Set/Logic/Probability, with Applications |
Autore | Smarandache Florentin |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (714 p.) |
Soggetto non controllato |
nonstandard neutrosophic supremum
classical statistics complex neutrosophic set neutrosophic offnorm neutrosophic extended triplet group multi-attribute decision-making (MADM) neutrosophic time series refined neutrosophic quadruple numbers BNHHA aggregation operator neutrosophic offconorm monad matrix representation left monad closed to the right implicator neutrsophic set neutrosophic correlation neutrosophic cubic sets decision-making MoBiNad set open and closed monads to the left/right distance measure De Morgan neutrosophic triples group decision making financial assets soft expert set uninorm multi-attribute group decision making sampling plan cubic sets neutrosophic cubic ordered weighted geometric operator (NCOWG) shale gas water management system weighted average operator aggregation operations quality function deployment Einstein t-norm neutrosophic rings non-standard neutrosophic topology BNHWA aggregation operator hypergroup triangular neutrosophic cubic fuzzy number pierced and unpierced binads numerical application neutrosophic cubic weighted geometric operator (NCWG) relations extended nonstandard analysis arithmetic averaging operator nonstandard reals Choquet integral Function approximation neutrosophic triangular norms weighted geometric operator neutrosophic regression optimization solution ordinary single valued neutrosophic neighborhood system smart port neutrosophic topology multi-criteria decision making techniques low-carbon supplier selection producer’s risk quasi-completely regular semigroup score function MAGDM multicriteria decision-making neutrosophic soft rough NET-hypergroup refined neutrosophic numbers neutrosophic logical relationship groups combined weighted average TOPSIS neutrosophic logical relationship logarithmic aggregation operators non-standard analysis multi-attribute decision-making neutrosophic extended triplet semihypergroup (NET-semihypergroup) aggregation nonstandard neutrosophic logic symmetric relation uncertainty modeling single valued neutrosophic sets BNHOWA aggregation operator ordinary single valued neutrosophic subspace generalized neutrosophic extended triplet group multi-attribute decision making ordinary single valued neutrosophic base nonstandard arithmetic operations pierced binad MCGDM problems simplified neutrosophic set residuated lattices Neutrosophic compound orthogonal neural network rough set approximation single-valued neutrosophic linguistic set binad multi-granulation neutrosophic rough set single valued neutrosophic set infinitesimals standard reals soft set non-standard neutrosophic mobinad set certainty function neutrosophic weight two universes sample size n-person cooperative game paper defect diagnosis performance indicators semihypergroup logarithmic operational laws right monad closed to the left idempotents unpierced binad neutrosophic cubic hybrid weighted arithmetic and geometric aggregation operator (NCHWAGA) neutrosophic symmetric scenarios extended nonstandard neutrosophic logic neutrosophic statistics neutrosophic goal programming approach neutrosophic offset neutrosophic statistical interval method weighted multiple instance learning neutrosophic cubic Einstein ordered weighted geometric operator (NCEOWG) fuzzy parameterized single valued neutrosophic soft expert set single-valued neutrosophic soft number and its operations Internet of Things extended non-standard analysis dietary fat level soft sets visual tracking neutrosophic offuninorm neutrosophic cubic Einstein weighted geometric operator (NCEWG) ordinary single valued neutrosophic subbase membership function non-dual SVN soft weighted arithmetic averaging operator Q-neutrosophic set neutrosophic sets fuzzy numbers intuitionistic fuzzy parameters producer’s risk’ graph representation exponential similarity measure infinities maximizing deviation Multi-attribute decision making SVN soft weighted geometric averaging operator objectness Q-neutrosophic soft set accuracy function consumer’s risk decision making Neutrosophic number clifford semigroup neutrosophic numbers neutrosophic residual implications nonstandard neutrosophic lattices of first type (as poset) and second type (as algebraic structure) covering e-marketing nonstandard analysis neutrosophic quadruple rings complex neutrosophic soft expert set single-valued neutrosophic set neutrosophic cubic soft expert system neutrosophic cubic soft sets triangular neutrosophic number supply chain sustainability metrics neutrosophic quadruple numbers ?-level nonstandard neutrosophic infimum infinitely ?-distributive plithogeny neutrosophic set fuzzy logic prospector Neutrosophic function representable neutrosophic t-norms probabilistic neutrosophic hesitant fuzzy set (PNHFS) prostate cancer nonstandard unit interval port evaluation simplified neutrosophic hesitant fuzzy set ordinary single valued neutrosophic (co)topology |
ISBN | 3-03921-939-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910367741303321 |
Smarandache Florentin
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Novel Electrochemical Biosensors for Clinical Assays |
Autore | Guerrieri Antonio |
Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
Descrizione fisica | 1 electronic resource (204 p.) |
Soggetto topico | Technology: general issues |
Soggetto non controllato |
molecularly imprinted polymers (MIPs)
surface imprinted polymers (SIPs) electrochemical biosensor biomarkers for infectious diseases choline biosensor amperometric detection overoxidized polypyrrole film phospholipase D assay phosphatidylcholine human epididymis protein 4 competitive electrochemical immunosensor WiFi portable potentiostat on-board calibration Internet of Things 1-methoxy-5-ethyl phenazinium ethyl sulfate disposable enzyme sensor lactate oxidase glucose dehydrogenase fructosyl peptide oxidase electrochemical enzyme sensor biomedical engineering surface plasmon resonance biosensors bio-functionalization optimization cost-effective biosensors lab-on-a-chip aptamer labeling enzyme zinc finger protein electrochemical sensor vascular endothelial growth factor breast cancer nanobiosensors biomarkers electrochemistry impedance immobilization nanomaterial nanoparticles (NPs) magnetic NPs self-assembled monolayers (SAMs) signal amplification optogenetics micro-electrode array in situ detection electrophysiology neural circuit recognition biosensor carbon dots norepinephrine tyrosinase voltammetry folic acid real samples analytical methods electrochemical tools choline analysis phosphocholine analysis choline oxidase alkaline phosphatase enzyme immobilization overoxidized polypyrrole electropolymerized non-conducting polymer dual electrode biosensor simultaneous determination flow injection analysis capacitive sensing alternating current electrokinetic effects miRNA sensing point-of-care diagnostics |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910557364703321 |
Guerrieri Antonio
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Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Official Statistics 4.0 : Verified Facts for People in the 21. Century / Walter J. Radermacher |
Autore | Radermacher, Walter J. |
Pubbl/distr/stampa | Cham, : Springer, 2020 |
Descrizione fisica | xii, 158 p. : ill. ; 24 cm |
Soggetto topico |
62-XX - Statistics [MSC 2020]
91-XX - Game theory, economics, finance, and other social and behavioral sciences [MSC 2020] |
Soggetto non controllato |
Digitisation
Globalisation Informational governance Internet of Things Official statistics Statistical sociology Statistics and society Sustainable development |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0249583 |
Radermacher, Walter J.
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Cham, : Springer, 2020 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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Open-Source Electronics Platforms |
Autore | Ngo Trung Dung |
Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
Descrizione fisica | 1 electronic resource (262 p.) |
Soggetto non controllato |
distributed measurement systems
open-source platform FPGA technology convergence distributed energy resource vision system infrared DC/DC converter modified sliding window algorithm virtual sensor open platform context maximum power point tracking (MPPT) ontology Python EPICS human-computer interface (HCI) visual algorithms open hardware automated vehicle interleaved electromyogram (EMG) sensor detection smart farming digital signal controllers blockchain PiCamera eye tracking smart cities Arduino smart converter OPC UA Field Programmable Gate Array (FPGA) wireless sensor networks Raspberry Pi BeagleBoard service learning embedded systems education individual management of livestock robotics sensor networks dsPIC thermal imaging photovoltaic (PV) system hardware trojan taxonomy science teaching side channel analysis coalition electrooculogram (EOG) automation networks robotic tool cloud computing Java industry 4.0 teaching robotics Digital Signal Processor (DSP) piecewise linear approximation (PLA) Internet of Things Cloud of Things STEM support vector regression cyber-physical systems interaction node-RED momentum data sensing remote sensing platform |
ISBN | 3-03897-973-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910346858203321 |
Ngo Trung Dung
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MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Optimization and Management in Manufacturing Engineering : Resource Collaborative Optimization and Management through the Internet of Things / Xinbao Liu ... [et al.] |
Pubbl/distr/stampa | Cham, : Springer, 2017 |
Descrizione fisica | xviii, 264 p. : ill. ; 24 cm |
Soggetto topico |
47-XX - Operator theory [MSC 2020]
68Q25 - Analysis of algorithms and problem complexity [MSC 2020] 90B30 - Production models [MSC 2020] 90B05 - Inventory, storage, reservoirs [MSC 2020] |
Soggetto non controllato |
Collaborative problems for manufacturers
Cutting stock algorithm Decision Methods Decision-right distribution method Hybrid heuristic IOT Internet of Things Inventory management Manufacture enterprise Manufacturing process management Neighborhood-searching Optimal organizational structure Practical manufacturing Quality management Routing algorithm Supply chain scheduling |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Titolo uniforme | |
Record Nr. | UNICAMPANIA-VAN0124056 |
Cham, : Springer, 2017 | ||
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Lo trovi qui: Univ. Vanvitelli | ||
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