LEADER 02875oam 2200577zu 450 001 9910144705703321 005 20210721060855.0 010 $a1-280-55755-9 010 $a9786610557554 010 $a3-527-60011-6 035 $a(CKB)1000000000377569 035 $a(SSID)ssj0000306168 035 $a(PQKBManifestationID)11241510 035 $a(PQKBTitleCode)TC0000306168 035 $a(PQKBWorkID)10294785 035 $a(PQKB)10431914 035 $a(MiAaPQ)EBC4957768 035 $a(Au-PeEL)EBL4957768 035 $a(CaONFJC)MIL55755 035 $a(OCoLC)1024272241 035 $a(EXLCZ)991000000000377569 100 $a20160829d2001 uy 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 00$aPlasticity of metals: experiments, models, computation : final report of the Collaborative Research Centre 319, "Stoffgesetze für das inelastische Verhalten metallischer Werkstoffe - Entwicklung und technische Anwendung" 1985 - 1996 210 31$a[Place of publication not identified]$cWiley VCH$d2001 215 $a1 online resource (427 pages) 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-527-27728-5 330 $aThis is the final report, drawing its conclusions and results from many individual papers and co-workers at the Institute for Structural Analysis of the Technical University of Braunschweig. It shows the correlation between energetic and mechanical quantities of face-centred cubic metals, cold worked and softened to different states. Constitutive models for the plastic of metals are developed and the application of these models is presented. The improvements achieved by this contribution cover the material functions, the shape of yield surfaces, and the consideration of distributed experimental data within the mumerical analysis. 606 $aMetals$xPlastic properties 606 $aMaterials Science$2HILCC 606 $aChemical & Materials Engineering$2HILCC 606 $aEngineering & Applied Sciences$2HILCC 608 $aElectronic books. 615 0$aMetals$xPlastic properties 615 7$aMaterials Science 615 7$aChemical & Materials Engineering 615 7$aEngineering & Applied Sciences 676 $a620.1/633 702 $aSteck$b Elmar 712 02$aDeutsche Forschungsgemeinschaft 712 02$aSonderforschungsbereich 319--Stoffgesetze für das Inelastische Verhalten Metallischer Werkstoffe, Entwicklung und Technische Anwendung 801 0$bPQKB 906 $aBOOK 912 $a9910144705703321 996 $aPlasticity of metals: experiments, models, computation : final report of the Collaborative Research Centre 319, "Stoffgesetze für das inelastische Verhalten metallischer Werkstoffe - Entwicklung und technische Anwendung" 1985 - 1996$92068009 997 $aUNINA LEADER 02918nam 2200613 450 001 9910453367603321 005 20200520144314.0 010 $a1-118-46658-6 010 $a1-118-46659-4 035 $a(CKB)2550000001172031 035 $a(EBL)1582848 035 $a(SSID)ssj0001081805 035 $a(PQKBManifestationID)11554841 035 $a(PQKBTitleCode)TC0001081805 035 $a(PQKBWorkID)11090945 035 $a(PQKB)10031763 035 $a(MiAaPQ)EBC1582848 035 $a(DLC) 2013026293 035 $a(Au-PeEL)EBL1582848 035 $a(CaPaEBR)ebr10822334 035 $a(CaONFJC)MIL553336 035 $a(OCoLC)851285741 035 $a(EXLCZ)992550000001172031 100 $a20130624h20142014 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aFinancial management of health care organizations $ean introduction to fundamental tools, concepts, and applications /$fWilliam N. Zelman [and three others] 205 $aFourth edition. 210 1$aSan Francisco :$cJossey-Bass,$d[2014] 210 4$d©2014 215 $a1 online resource (704 p.) 300 $aDescription based upon print version of record. 311 $a1-118-46656-X 311 $a1-306-22085-8 320 $aIncludes bibliographical references and index. 327 $aThe context of health care financial management -- Health care financial statements -- Principles and practices of health care accounting -- Financial statement analysis -- Working capital management -- The time value of money -- The investment decision -- Capital financing for health care providers -- Using cost information to make special decisions -- Budgeting -- Responsibility accounting -- Provider cost-finding methods -- Provider payment systems. 330 $aThis new Fourth Edition of Financial Management of Health Care Organizations, offers an introduction to the most-used tools and techniques of health care financial management, including health care accounting and financial statements; managing cash, billings and collections; making major capital investments; determining cost and using cost information in decision-making; budgeting and performance measurement; and pricing. New to this edition: The Perspectives sections and the glossary have been updated. The book features a cutting-edge view of the health care landscape 606 $aHealth facilities$xBusiness management 606 $aHealth facilities$xFinance 608 $aElectronic books. 615 0$aHealth facilities$xBusiness management. 615 0$aHealth facilities$xFinance. 676 $a362.1068/1 700 $aZelman$b William N$0594607 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910453367603321 996 $aFinancial management of health care organizations$92120085 997 $aUNINA LEADER 11098nam 2200553 450 001 9910643177803321 005 20221104000538.0 010 $a1-119-88438-1 010 $a1-119-88439-X 010 $a1-119-88437-3 035 $a(MiAaPQ)EBC6931163 035 $a(Au-PeEL)EBL6931163 035 $a(CKB)21410032300041 035 $a(EXLCZ)9921410032300041 100 $a20221104d2022 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 04$aThe new advanced society $eartificial intelligence and industrial Internet of Things paradigm /$fedited by Ke Zhang, Yang Hong, and Amir AghaKouchak 210 1$aHoboken, New Jersey :$cJohn Wiley & Sons, Incorporated,$d[2022] 210 4$d©2022 215 $a1 online resource (512 pages) 225 1 $aWiley-Scrivener Ser. 311 08$aPrint version: Panda, Sandeep Kumar The New Advanced Society Newark : John Wiley & Sons, Incorporated,c2022 9781119824473 320 $aIncludes bibliographical references and index. 327 $aCover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Acknowledgments -- 1 Post Pandemic: The New Advanced Society -- 1.1 Introduction -- 1.1.1 Themes -- 1.1.1.1 Theme: Areas of Management -- 1.1.1.2 Theme: Financial Institutions Cyber Crime -- 1.1.1.3 Theme: Economic Notion -- 1.1.1.4 Theme: Human Depression -- 1.1.1.5 Theme: Migrant Labor -- 1.1.1.6 Theme: Digital Transformation (DT) of Educational Institutions -- 1.1.1.7 School and College Closures -- 1.2 Conclusions -- References -- 2 Distributed Ledger Technology in the Construction Industry Using Corda -- 2.1 Introduction -- 2.2 Prerequisites -- 2.2.1 DLT vs Blockchain -- 2.3 Key Points of Corda -- 2.3.1 Some Salient Features of Corda -- 2.3.2 States -- 2.3.3 Contract -- 2.3.3.1 Create and Assign Task (CAT) Contract -- 2.3.3.2 Request for Cash (RT) Contract -- 2.3.3.3 Transfer of Cash (TT) Contract -- 2.3.3.4 Updation of the Task (UOT) Contract -- 2.3.4 Flows -- 2.3.4.1 Flow Associated With CAT Contract -- 2.3.4.2 Flow Associated With RT Contract -- 2.3.4.3 Flow Associated With TT Contract -- 2.3.4.4 Flow Associated With UOT Contract -- 2.4 Implementation -- 2.4.1 System Overview -- 2.4.2 Working Flowchart -- 2.4.3 Experimental Demonstration -- 2.5 Future Work -- 2.6 Conclusion -- References -- 3 Identity and Access Management for Internet of Things Cloud -- 3.1 Introduction -- 3.2 Internet of Things (IoT) Security -- 3.2.1 IoT Security Overview -- 3.2.2 IoT Security Requirements -- 3.2.3 Securing the IoT Infrastructure -- 3.3 IoT Cloud -- 3.3.1 Cloudification of IoT -- 3.3.2 Commercial IoT Clouds -- 3.3.3 IAM of IoT Clouds -- 3.4 IoT Cloud Related Developments -- 3.5 Proposed Method for IoT Cloud IAM -- 3.5.1 Distributed Ledger Approach for IoT Security -- 3.5.2 Blockchain for IoT Security Solution. 327 $a3.5.3 Proposed Distributed Ledger-Based IoT Cloud IAM -- 3.6 Conclusion -- References -- 4 Automated TSR Using DNN Approach for Intelligent Vehicles -- 4.1 Introduction -- 4.2 Literature Survey -- 4.3 Neural Network (NN) -- 4.4 Methodology -- 4.4.1 System Architecture -- 4.4.2 Database -- 4.5 Experiments and Results -- 4.5.1 FFNN -- 4.5.2 RNN -- 4.5.3 CNN -- 4.5.4 CNN -- 4.6 Discussion -- 4.7 Conclusion -- References -- 5 Honeypot: A Trap for Attackers -- 5.1 Introduction -- 5.1.1 Research Honeypots -- 5.1.2 Production Honeypots -- 5.2 Method -- 5.2.1 Low-Interaction Honeypots -- 5.2.2 Medium-Interaction Honeypots -- 5.2.3 High-Interaction Honeypots -- 5.3 Cryptanalysis -- 5.3.1 System Architecture -- 5.3.2 Possible Attacks on Honeypot -- 5.3.3 Advantages of Honeypots -- 5.3.4 Disadvantages of Honeypots -- 5.4 Conclusions -- References -- 6 Examining Security Aspects in Industrial-Based Internet of Things -- 6.1 Introduction -- 6.2 Process Frame of IoT Before Security -- 6.2.1 Cyber Attack -- 6.2.2 Security Assessment in IoT -- 6.2.2.1 Security in Perception and Network Frame -- 6.3 Attacks and Security Assessments in IIoT -- 6.3.1 IoT Security Techniques Analysis Based on its Merits -- 6.4 Conclusion -- References -- 7 A Cooperative Navigation for Multi-Robots in Unknown Environments Using Hybrid Jaya-DE Algorithm -- 7.1 Introduction -- 7.2 Related Works -- 7.3 Problem Formulation -- 7.4 Multi-Robot Navigation Employing Hybrid Jaya-DE Algorithm -- 7.4.1 Basic Jaya Algorithm -- 7.5 Hybrid Jaya-DE -- 7.5.1 Mutation -- 7.5.2 Crossover -- 7.5.3 Selection -- 7.6 Simulation Analysis and Performance Evaluation of Jaya-DE Algorithm -- 7.7 Total Navigation Path Deviation (TNPD) -- 7.8 Average Unexplored Goal Distance (AUGD) -- 7.9 Conclusion -- References -- 8 Categorization Model for Parkinson's Disease Occurrence and Severity Prediction -- 8.1 Introduction. 327 $a8.2 Applications -- 8.2.1 Machine Learning in PD Diagnosis -- 8.2.2 Challenges of PD Detection -- 8.2.3 Structuring of UPDRS Score -- 8.3 Methodology -- 8.3.1 Overview of Data Driven Intelligence -- 8.3.2 Comparison Between Deep Learning and Traditional Machine -- 8.3.3 Deep Learning for PD Diagnosis -- 8.3.4 Convolution Neural Network for PD Diagnosis -- 8.4 Proposed Models -- 8.4.1 Classification of Patient and Healthy Controls -- 8.4.2 Severity Score Classification -- 8.5 Results and Discussion -- 8.5.1 Performance Measures -- 8.5.2 Graphical Results -- 8.6 Conclusion -- References -- 9 AI-Based Smart Agriculture Monitoring Using Ground-Based and Remotely Sensed Images -- 9.1 Introduction -- 9.2 Automatic Land-Cover Classification Techniques Using Remotely Sensed Images -- 9.3 Deep Learning-Based Agriculture Monitoring -- 9.4 Adaptive Approaches for Multi-Modal Classification -- 9.4.1 Unsupervised DA -- 9.4.2 Semi-Supervised DA -- 9.4.3 Active Learning-Based DA -- 9.5 System Model -- 9.6 IEEE 802.15.4 -- 9.6.1 802.15.4 MAC -- 9.6.2 DSME MAC -- 9.6.3 TSCH MAC -- 9.7 Analysis of IEEE 802.15.4 for Smart Agriculture -- 9.7.1 Effect of Device Specification -- 9.7.1.1 Low-Power -- 9.7.2 Effect of MAC Protocols -- 9.8 Experimental Results -- 9.9 Conclusion & -- Future Directions -- References -- 10 Car Buying Criteria Evaluation Using Machine Learning Approach -- 10.1 Introduction -- 10.2 Literature Survey -- 10.3 Proposed Method -- 10.4 Dataset -- 10.5 Exploratory Data Analysis -- 10.6 Splitting of Data Into Training Data and Test Data -- 10.7 Pre-Processing -- 10.8 Training of Our Models -- 10.8.1 Gaussian Naïve Bayes -- 10.8.2 Decision Tree Classifier -- 10.8.3 Tuning the Model -- 10.8.4 Karnough Nearest Neighbor Classifier -- 10.8.5 Tuning the Model -- 10.8.6 Neural Network -- 10.8.7 Tuning the Model -- 10.9 Result Analysis. 327 $a10.9.1 Confusion Matrix -- 10.9.2 Gaussian Naïve Bayes -- 10.9.3 Decision Tree Classifier -- 10.9.4 Karnough Nearest Neighbor Classifier -- 10.9.5 Neural Network -- 10.9.6 Accuracy Scores -- 10.10 Conclusion and Future Work -- References -- 11 Big Data, Artificial Intelligence and Machine Learning: A Paradigm Shift in Election Campaigns -- 11.1 Introduction -- 11.2 Big Data Reveals the Voters' Preference -- 11.2.1 Use of Software Applications in Election Campaigns -- 11.2.1.1 Team Joe App -- 11.2.1.2 Trump 2020 -- 11.2.1.3 Modi App -- 11.3 Deep Fakes and Election Campaigns -- 11.3.1 Deep Fake in Delhi Elections -- 11.4 Social Media Bots -- 11.5 Future of Artificial Intelligence and Machine Learning in Election Campaigns -- References -- 12 Impact of Optimized Segment Routing in Software Defined Networks -- 12.1 Introduction -- 12.2 Software-Defined Network -- 12.3 SDN Architecture -- 12.4 Segment Routing -- 12.5 Segment Routing in SDN -- 12.6 Traffic Engineering in SDN -- 12.7 Segment Routing Protocol -- 12.8 Simulation and Result -- 12.9 Conclusion and Future Work -- References -- 13 An Investigation into COVID-19 Pandemic in India -- 13.1 Introduction -- 13.1.1 Symptoms of COVID-19 -- 13.1.2 Precautionary Measures -- 13.1.3 Ways of Spreading the Coronavirus -- 13.2 Literature Survey -- 13.3 Technologies Used to Fight COVID-19 -- 13.3.1 Robots -- 13.3.2 Drone Technology -- 13.3.3 Crowd Surveillance -- 13.3.4 Spraying the Disinfectant -- 13.3.5 Sanitizing the Contaminated Areas -- 13.3.6 Monitoring Temperature Using Thermal Camera -- 13.3.7 Delivering Essential Things -- 13.3.8 Public Announcement in the Infected Areas -- 13.4 Impact of COVID-19 on Business -- 13.4.1 Impact on Financial Markets -- 13.4.2 Impact on Supply Side -- 13.4.3 Impact on Demand Side -- 13.4.4 Impact on International Trade -- 13.5 Impact of COVID-19 on Indian Economy. 327 $a13.6 Data and Result Analysis -- 13.7 Conclusion and Future Scope -- References -- 14 Skin Cancer Classification: Analysis of Different CNN Models via Classification Accuracy -- 14.1 Introduction -- 14.2 Literature Survey -- 14.3 Methodology -- 14.3.1 Dataset Preparation -- 14.3.2 Dataset Loading and Data Pre-Processing -- 14.3.3 Creating Models -- 14.4 Models Used -- 14.5 Simulation Results -- 14.5.1 Changing Size of MaxPool2D(n,n) -- 14.5.2 Changing Size of AveragePool2D(n,n) -- 14.5.3 Changing Number of con2d(32n-64n) Layers -- 14.5.4 Changing Number of con2d-32*n Layers -- 14.5.5 ROC Curves and MSE Curves -- 14.6 Conclusion -- References -- 15 Route Mapping of Multiple Humanoid Robots Using Firefly-Based Artificial Potential Field Algorithm in a Cluttered Terrain -- 15.1 Introduction -- 15.2 Design of Proposed Algorithm -- 15.2.1 Mechanism of Artificial Potential Field -- 15.2.1.1 Potential Field Generated by Attractive Force of Goal -- 15.2.1.2 Potential Field Generated by Repulsive Force of Obstacle -- 15.2.2 Mechanism of Firefly Algorithm -- 15.2.2.1 Architecture of Optimization Problem Based on Firefly Algorithm -- 15.2.3 Dining Philosopher Controller -- 15.3 Hybridization Process of Proposed Algorithm -- 15.4 Execution of Proposed Algorithm in Multiple Humanoid Robots -- 15.5 Comparison -- 15.6 Conclusion -- References -- 16 Innovative Practices in Education Systems Using Artificial Intelligence for Advanced Society -- 16.1 Introduction -- 16.2 Literature Survey -- 16.2.1 AI in Auto-Grading -- 16.2.2 AI in Smart Content -- 16.2.3 AI in Auto Analysis on Student's Grade -- 16.2.4 AI Extends Free Intelligent Tutoring -- 16.2.5 AI in Predicting Student Admission and Drop-Out Rate -- 16.3 Proposed System -- 16.3.1 Data Collection Module -- 16.3.2 Data Pre-Processing Module -- 16.3.3 Clustering Module -- 16.3.4 Partner Selection Module. 327 $a16.4 Results. 410 0$aWiley-Scrivener Ser. 606 $aArtificial intelligence$xIndustrial applications$vCongresses 606 $aInternet of things 615 0$aArtificial intelligence$xIndustrial applications 615 0$aInternet of things. 676 $a620.0028563 702 $aHong$b Yang$f1973- 702 $aZhang$b Ke$c(Professor), 702 $aAghaKouchak$b Amir 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910643177803321 996 $aThe new advanced society$93007830 997 $aUNINA