Recent Trends in Communication and Intelligent Systems [[electronic resource] ] : Proceedings of ICRTCIS 2019 / / edited by Harish Sharma, Aditya Kumar Singh Pundir, Neha Yadav, Ajay Sharma, Swagatam Das |
Edizione | [1st ed. 2020.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
Descrizione fisica | 1 online resource (xx, 264 pages) : illustrations |
Disciplina | 006.3 |
Collana | Algorithms for Intelligent Systems |
Soggetto topico |
Computational intelligence
Electrical engineering Computer communication systems Computational Intelligence Communications Engineering, Networks Computer Communication Networks |
ISBN | 981-15-0426-1 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Fast Convergent Gravitational Search Algorithm -- An Experimental Perusal of Impedance Plethysmography for Biomedical Application -- Compressive Sensing: An Efficient Approach for Image Compression & Recovery -- Optimal Location of Renewable Energy Generator in Deregulated Power Sector -- A Genetic Improved Quantum Cryptography Model to Optimize Network Communication -- Neural Networks - Based Framework for Detecting Chemically Ripened Banana Fruits -- Low Power CMOS Low Transconductance OTA for Electrocardiogram Applications -- Spiral Resonator Microstrip Patch Antenna with Metamaterial on Patch and Ground -- A P-OLSR AND E-OLSR Routing Protocols For Urban Vehicular Ad Hoc Networks (VANETs) -- Evaluation of Similarity Measure to find Coherence -- Bagged Random Forest approach to classify Sentiments based on Technical Words -- Healthcare Services Customers’ ICT-Related Expectations and Experiences -- Analysis of SNR Improvement Using Compressive Sensing for Musical Instruments after Signal Compression -- A Framework to Impede Phishing Activities Using Neural Net and Website Features -- Overcoming the Security Shortcomings between Open vSwitch and Network Controller. |
Record Nr. | UNINA-9910483606803321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
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Lo trovi qui: Univ. Federico II | ||
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Recent Trends in Signal and Image Processing [[electronic resource] ] : ISSIP 2017 / / edited by Siddhartha Bhattacharyya, Anirban Mukherjee, Hrishikesh Bhaumik, Swagatam Das, Kaori Yoshida |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (224 pages) : illustrations |
Disciplina | 621.382 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Signal processing
Image processing Speech processing systems Optical data processing Electrical engineering Computer simulation Signal, Image and Speech Processing Image Processing and Computer Vision Communications Engineering, Networks Simulation and Modeling |
ISBN | 981-10-8863-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- Dedication -- Table of Contents -- About the Editors -- 21 Papers -- Author Index. |
Record Nr. | UNINA-9910337607303321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Simulated Evolution and Learning [[electronic resource] ] : 8th International Conference, SEAL 2010, Kanpur, India, December 1-4, 2010, Proceedings / / edited by Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Juergen Branke, Sushil J. Louis, Kay Chen Tan |
Edizione | [1st ed. 2010.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
Descrizione fisica | 1 online resource (XVII, 719 p. 173 illus.) |
Disciplina | 006.3 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Computer programming
Computer science Data mining Artificial intelligence Computer simulation Programming Techniques Theory of Computation Data Mining and Knowledge Discovery Artificial Intelligence Computer Modelling |
ISBN | 3-642-17298-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Invited Paper -- Theoretical Developments -- Evolutionary Algorithms and Applications -- Learning Methodologies -- Multi-Objective Evolutionary Algorithms and Applications -- Hybrid Algorithms -- Industrial Applications. |
Record Nr. | UNISA-996465692403316 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Simulated Evolution and Learning [[electronic resource] ] : 8th International Conference, SEAL 2010, Kanpur, India, December 1-4, 2010, Proceedings / / edited by Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Juergen Branke, Sushil J. Louis, Kay Chen Tan |
Edizione | [1st ed. 2010.] |
Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
Descrizione fisica | 1 online resource (XVII, 719 p. 173 illus.) |
Disciplina | 006.3 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Computer programming
Computer science Data mining Artificial intelligence Computer simulation Programming Techniques Theory of Computation Data Mining and Knowledge Discovery Artificial Intelligence Computer Modelling |
ISBN | 3-642-17298-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Invited Paper -- Theoretical Developments -- Evolutionary Algorithms and Applications -- Learning Methodologies -- Multi-Objective Evolutionary Algorithms and Applications -- Hybrid Algorithms -- Industrial Applications. |
Record Nr. | UNINA-9910483059503321 |
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
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Lo trovi qui: Univ. Federico II | ||
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Sixth International Conference on Intelligent Computing and Applications : Proceedings of ICICA 2020 / / edited by Subhransu Sekhar Dash, Bijaya Ketan Panigrahi, Swagatam Das |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (579 pages) |
Disciplina | 006.3 |
Collana | Advances in Intelligent Systems and Computing |
Soggetto topico |
Computational intelligence
Artificial intelligence Signal processing Telecommunication Computational Intelligence Artificial Intelligence Signal, Speech and Image Processing Communications Engineering, Networks Intel·ligència computacional |
Soggetto genere / forma |
Congressos
Llibres electrònics |
ISBN | 981-16-1335-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Closed Loop Vision Based Ball Balancer -- A Novel Network Learning For Image Compressive Sensing -- COVID – 19 Severıty Predıctıons: An Analysis Usıng Correlatıon Measures -- A Novel Methodology for Comparative Analysis of Power Quality Improvement for a 3 Phase DC/AC Embedded DC/DC Converter -- Performance of Photovoltaic based ZETA Converter Water Pumping Application -- Performance Analysis of Radial Distribution System by Optimal Deployment of DG and DSTATCOM Considering Network Reconfiguration using a SAR Algorithm. |
Record Nr. | UNINA-9910494555203321 |
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Smart Computing and Informatics [[electronic resource] ] : Proceedings of the First International Conference on SCI 2016, Volume 1 / / edited by Suresh Chandra Satapathy, Vikrant Bhateja, Swagatam Das |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (XX, 755 p. 342 illus.) |
Disciplina | 006.3 |
Collana | Smart Innovation, Systems and Technologies |
Soggetto topico |
Electrical engineering
Big data Artificial intelligence Communications Engineering, Networks Big Data/Analytics Artificial Intelligence |
ISBN | 981-10-5544-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- About the Editors -- Conference Organizing Committee -- Table of Contents -- 74 Chapters -- Author Index. |
Record Nr. | UNINA-9910299575903321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
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Lo trovi qui: Univ. Federico II | ||
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Smart Computing and Informatics [[electronic resource] ] : Proceedings of the First International Conference on SCI 2016, Volume 2 / / edited by Suresh Chandra Satapathy, Vikrant Bhateja, Swagatam Das |
Edizione | [1st ed. 2018.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 |
Descrizione fisica | 1 online resource (XVIII, 653 p. 305 illus.) |
Disciplina | 006.3 |
Collana | Smart Innovation, Systems and Technologies |
Soggetto topico |
Electrical engineering
Big data Artificial intelligence Communications Engineering, Networks Big Data/Analytics Artificial Intelligence |
ISBN | 981-10-5547-5 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Preface -- About the editors -- Conference Organizing Committee -- Table of Contents -- 68 Chapters -- Author Index. |
Record Nr. | UNINA-9910299566503321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2018 | ||
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Lo trovi qui: Univ. Federico II | ||
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Smart Intelligent Computing and Applications [[electronic resource] ] : Proceedings of the Second International Conference on SCI 2018, Volume 2 / / edited by Suresh Chandra Satapathy, Vikrant Bhateja, Swagatam Das |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (xx, 689 pages) : illustrations |
Disciplina | 006.3 |
Collana | Smart Innovation, Systems and Technologies |
Soggetto topico |
Electrical engineering
Big data Artificial intelligence Communications Engineering, Networks Big Data/Analytics Artificial Intelligence |
ISBN | 981-13-1927-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910350310103321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Smart Intelligent Computing and Applications [[electronic resource] ] : Proceedings of the Second International Conference on SCI 2018, Volume 1 / / edited by Suresh Chandra Satapathy, Vikrant Bhateja, Swagatam Das |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (xxii, 731 pages) : illustrations |
Disciplina | 006.3 |
Collana | Smart Innovation, Systems and Technologies |
Soggetto topico |
Electrical engineering
Big data Artificial intelligence Communications Engineering, Networks Big Data/Analytics Artificial Intelligence |
ISBN | 981-13-1921-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Record Nr. | UNINA-9910350311503321 |
Singapore : , : Springer Singapore : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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Swarm, Evolutionary, and Memetic Computing [[electronic resource] ] : 6th International Conference, SEMCCO 2015, Hyderabad, India, December 18-19, 2015, Revised Selected Papers / / edited by Bijaya Ketan Panigrahi, Ponnuthurai Nagaratnam Suganthan, Swagatam Das, Suresh Chandra Satapathy |
Edizione | [1st ed. 2016.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
Descrizione fisica | 1 online resource (XI, 288 p. 117 illus.) |
Disciplina | 006.3 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Computer science
Artificial intelligence Algorithms Pattern recognition systems Computer networks Software engineering Theory of Computation Artificial Intelligence Automated Pattern Recognition Computer Communication Networks Software Engineering |
ISBN | 3-319-48959-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Self-adaptive Ensemble Differential Evolution with Sampled Parameter Values for Unit Commitment -- Abstract -- 1 Introduction -- 2 Literature Review -- 2.1 Differential Evolution -- 2.2 Literature Review -- 3 Self-adaptive DE with Ensemble of Mutation Strategies and Sampled Parameter Values (Sa-EPSDE) -- 4 Experimental Study on Numerical Benchmark Problems -- 5 Experimental Study on Unit Commitment Problem -- 5.1 Problem Formulation -- 5.2 Simple Priority Listing Method -- 5.3 Experimental Results -- 6 Conclusion -- Acknowledgement -- References -- Empirical Assessment of Human Learning Principles Inspired PSO Algorithms on Continuous Black-Box Optimization Testbed -- 1 Introduction -- 2 Selected Human Learning Principles Inspired PSO Algorithms -- 3 Numerical Assessment -- 3.1 Setup -- 3.2 Performance Evaluation Procedure -- 3.3 Performance Evaluation Discussion -- 4 Conclusion -- References -- Visual Cryptography Based Lossless Watermarking for Sensitive Images -- Abstract -- 1 Introduction -- 2 Visual Cryptography Based Lossless Watermarking (VCLW) -- 3 Spatial Domain VCLW Techniques -- 4 Results and Discussion -- 5 Conclusions -- References -- Cohort Intelligence and Genetic Algorithm Along with AHP to Recommend an Ice Cream to a Diabetic Patient -- Abstract -- 1 Introduction -- 2 AHP Matrix Methodology -- 3 Proposed AHP-GA Algorithm -- 3.1 Proposed Set of Equations for Different Variables -- 3.2 Selection Criteria for AHP-GA -- 3.3 Fitness Function and Recommending an Ice Cream to Diabetic Patients -- 4 AHP-CI Algorithm -- 5 Conclusions and Future Direction -- References -- Design, Construction and Analysis of Model Dataset for Indian Road Network and Performing Classification to Estimate Accuracy of Different Classifier with Its Comparison Summary Evaluation -- Abstract -- 1 Introduction.
2 Related Work -- 3 Performing Analysis of Data and Setting Threshold Levels -- 4 Database Creation -- 5 Testing Data with Different Algorithm and Accuracy Estimation -- 5.1 System Architecture -- 5.2 Final Evaluation Summary -- 6 Conclusion and Future Work -- References -- A Hybrid EMD-ANN Model for Stock Price Prediction -- 1 Introduction -- 2 Hybrid EMD-ANN Framework -- 2.1 Steps of EMD -- 2.2 Steps of ANN -- 3 Analysis -- 3.1 Data Description -- 3.2 EMD -- 3.3 Box-Jenkins Methodology -- 3.4 ANN -- 4 Results and Discussion -- 4.1 Error Measures -- 4.2 Significance Test -- 5 Conclusion -- References -- Development of Back Propagation Neural Network (BPNN) Model to Predict Combustion Parameters of Diesel Engine -- Abstract -- 1 Introduction -- 2 Experimental Setup -- 2.1 Experiment Procedure -- 3 Results and Discussions -- 4 Conclusions -- References -- An Improved Quantum Inspired Immune Clone Optimization Algorithm -- 1 Introduction -- 2 Related Methods -- 2.1 Immune Clone Algorithm -- 2.2 Quantum Computing Theory -- 3 Proposed Approach -- 3.1 Quantum Immune Clone Algorithm -- 3.2 An Improved Quantum Immune Clone Algorithm: Proposed Algorithm -- 4 Results and Discussions -- 5 Conclusion and Future Work -- References -- Diagnosis of Parkinson Disease Patients Using Egyptian Vulture Optimization Algorithm -- 1 Inroduction -- 1.1 Existing Method for Diagnosis of PD -- 1.2 Need for Feature Selection -- 2 Methodology -- 2.1 KNN Classifier -- 2.2 Particle Swarm Optimization -- 2.3 Egyptian Vulture Optimization Algorithm -- 2.4 Pebble Tossing -- 2.5 Rolling with Twigs -- 2.6 Change of Angle -- 2.7 Fitness Calculation -- 3 Experimental Results -- References -- Variance Based Particle Swarm Optimization for Function Optimization and Feature Selection -- 1 Introduction -- 2 Particle Swarm Optimization -- 2.1 Binary PSO -- 2.2 BPSO for Feature Selection. 3 Proposed Variance Based Particle Swarm Optimization -- 3.1 VPSO Algorithm -- 3.2 Time Complexity -- 4 Experiments -- 4.1 Function Minimization -- 4.2 Application of VPSO for Feature Selection -- 5 Conclusion and Future Work -- References -- Analysis of Next-Generation Sequencing Data of miRNA for the Prediction of Breast Cancer -- 1 Introduction -- 2 Gravitation Search Algorithm Integrated Support Vector Machine -- 2.1 Population Initialization -- 2.2 Fitness Computation -- 2.3 Mass and Gravitational Force Computation -- 2.4 Updating Velocity and Position -- 2.5 Elitism -- 2.6 Ranking of miRNAs Selected by GSA+SVM -- 3 Experimental Results -- 3.1 Dataset -- 3.2 Parameters Settings and Performance Metrics -- 3.3 Results -- 4 Conclusion -- References -- Genetic Algorithm Based Speed Control of Electric Vehicle with Electronic Differential -- Abstract -- 1 Introduction -- 2 Mathematical Model of PMSM -- 2.1 Three Phase to Two Phase Transformation -- 3 Vector Control of PMSM -- 4 Modeling of Electronic Differential Controller -- 5 Optimal Tuning of PI Controller Using Genetic Algorithm -- 6 Objective Function -- 7 Result and Discussion -- 7.1 Varying Speed and Varying Load -- 7.2 Case A: Vehicle Moving on Left Curved Road -- 7.3 Case B:Vehicle Moving on a Right Curved Road -- A Appendix: Motor Parameters -- References -- An Ant Colony Optimization Approach for the Dominating Tree Problem -- 1 Introduction -- 2 Related Work -- 3 DT-ACO -- 3.1 Solution Construction -- 4 Computational Results -- 4.1 Parameter Settings -- 4.2 Comparison of DT-ACO with ACO and ABC -- 5 Conclusions -- References -- Multi-objective Power Dispatch Using Stochastic Fractal Search Algorithm and TOPSIS -- Abstract -- 1 Introduction -- 2 Mathematical Formulation -- 2.1 Cost Function for Economic Dispatch Problem -- 2.2 Function for Emission Dispatch. 2.3 Power Balance Constraints -- 2.4 Generation Limits Constraints -- 2.5 Formulation of Economic Emission Dispatch Problem -- 3 Stochastic Fractal Search Algorithm -- 3.1 Diffusion Process -- 3.2 Updating Process -- 4 TOPSIS -- 5 Implementation of SFSA in Economic Emission Dispatch Problem -- 6 Simulation Results -- 6.1 Test Case 1: 10 Unit System -- 6.2 Test Case 2: 13unit System -- 7 Conclusion -- References -- Particle Swarm Optimization for the Deployment of Directional Sensors -- 1 Introduction -- 2 Related Work -- 3 Problem Definition -- 4 Proposed Approach -- 5 Results and Discussion -- 6 Conclusion and Future Work -- References -- Region Based Multiple Features for an Effective Content Based Access Medical Image Retrieval an Integrated with Relevance Feedback Approach -- Abstract -- 1 Introduction -- 2 CBMIR System -- 3 Feature Extraction Approach -- 3.1 Boundary Detection -- 3.2 Texture Pattern Extraction -- 3.3 Shape Feature Extraction -- 4 Relevance Feedback Learning Approach -- 5 Experimental Results -- 6 Discussion and Conclusion -- References -- Robot Workcell Layout Optimization Using Firefly Algorithm -- Abstract -- 1 Introduction -- 2 Methodology -- 2.1 B-Star Tree Representation -- 2.2 Sequence Pair Representation -- 2.3 Objective Function -- 3 The Firefly Algorithm -- 4 Results and Discussion -- 5 Conclusion -- Acknowledgment -- References -- Particle Swarm Optimization Based on the Winner's Strategy -- Abstract -- 1 Introduction -- 2 PSO with Winners Strategy -- 2.1 Discussion on Selection of Value of Φ -- 2.2 Discussion on New Velocity Update Formula -- 3 Experimental Results and Analysis -- 4 Conclusion and Future Work -- Appendix -- References -- Black Hole Artificial Bee Colony Algorithm -- 1 Introduction -- 2 Black Hole Phenomenon -- 3 Black Hole ABC Algorithm -- 4 Outcomes and Discussions -- 5 Conclusion -- References. A Gravitational Search Algorithm for Energy Efficient Multi-sink Placement in Wireless Sensor Networks -- Abstract -- 1 Introduction -- 2 Reviews of Literature -- 3 Preliminaries -- 3.1 Gravitational Search Algorithm -- 3.2 Energy Model -- 3.3 Network Scenario and Notations -- 3.3.1 Network Scenario -- 3.3.2 Notations -- 4 Proposed Approach -- 4.1 Representation of an Agent -- 4.2 Derivation of Fitness Function -- 4.3 Updating of Velocity and Position -- 5 Simulation Results -- 6 Conclusion -- References -- Optimum Clustering of Active Distribution Networks Using Back Tracking Search Algorithm -- Abstract -- 1 Introduction -- 2 Microgrids Design Concept and Benefits -- 3 Modeling of System Components -- 4 Problem Formulation -- 4.1 First Objective -- 4.2 Second Objective -- 5 The Solution Algorithm -- 5.1 Initialization -- 5.2 Selection-I -- 5.3 Mutation -- 5.4 Crossover -- 5.5 Selection-II -- 6 Simulation Results -- 7 Conclusions -- References -- Energy Efficient Clustering for Wireless Sensor Networks: A Gravitational Search Algorithm -- Abstract -- 1 Introduction -- 2 Preliminaries -- 2.1 Overview of Gravitational Search Algorithm -- 2.2 Energy Model -- 2.3 WSN Model and Notations -- 2.3.1 WSN Model -- 2.3.2 Notations -- 3 Proposed Approach -- 3.1 Initialization and Representation of Agent -- 3.2 Derivation of Fitness Function -- 3.3 Illustration -- 4 Simulation Results -- 5 Conclusion and Future Work -- References -- Hybridizing Cuckoo Search with Bio-inspired Algorithms for Constrained Optimization Problems -- Abstract -- 1 Introduction -- 2 Cuckoo Search Algorithm -- 2.1 Lévy Flight -- 2.2 Hybrid CS-GA Algorithm -- 2.3 Hybrid CS-PSO Algorithm -- 3 Test Problems and Results -- 3.1 Himmelblau's Problem -- 3.2 Cantilever Beam Design Problem -- 3.3 Tubular Column Design Problem -- 3.4 Three Bar Truss Design Problem. 3.5 Corrugated Bulkhead Design Problem. |
Record Nr. | UNISA-996465599703316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
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Lo trovi qui: Univ. di Salerno | ||
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