LEADER 02440nam 2200613Ia 450 001 9910457050603321 005 20200520144314.0 010 $a0-8276-0999-X 035 $a(CKB)2550000000017860 035 $a(EBL)3039345 035 $a(OCoLC)698244161 035 $a(SSID)ssj0000470604 035 $a(PQKBManifestationID)11299267 035 $a(PQKBTitleCode)TC0000470604 035 $a(PQKBWorkID)10412467 035 $a(PQKB)10838550 035 $a(MiAaPQ)EBC3039345 035 $a(Au-PeEL)EBL3039345 035 $a(CaPaEBR)ebr10388535 035 $a(EXLCZ)992550000000017860 100 $a20090805d2009 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aJewish choices, Jewish voices$iPower$b[electronic resource] /$fedited by Elliot N. Dorf and Louis E. Newman 210 $aPhiladelphia, PA $cJewish Publication Society$dc2009 215 $a1 online resource (142 p.) 225 1 $aJewish Choices, Jewish Voice 300 $aDescription based upon print version of record. 311 $a0-8276-0862-4 320 $aIncludes bibliographical references and index. 327 $aContents; Acknowledgments; Description of the Jewish Choices, Jewish Voices Series; Introduction: Power; PART I: CASE STUDIES AND JEWISH SOURCES; First Case Study: Soliciting Charitable Donations; Second Case Study: Developing Personal Relationships; Third Case Study: Monitoring Ethics in Business; PART II: SYMPOSIUM; The Power of Executives; Power in Government; Power in the Professions; The Power of Ideals; PART III: CONCLUSION; The Ethics of Power; Glossary; Suggestions for Further Reading; Editors and Contributors; Index 410 0$aJewish Choices, Jewish Voice 606 $aJewish ethics 606 $aJews$xIdentity 606 $aPower (Philosophy)$xReligious aspects 606 $aPower (Social sciences)$xReligious aspects 608 $aElectronic books. 615 0$aJewish ethics. 615 0$aJews$xIdentity. 615 0$aPower (Philosophy)$xReligious aspects. 615 0$aPower (Social sciences)$xReligious aspects. 676 $a296.36 701 $aDorff$b Elliot N$0884475 701 $aNewman$b Louis E$01029362 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910457050603321 996 $aJewish choices, Jewish voices$92465529 997 $aUNINA LEADER 01009nam0 22002651i 450 001 UON00132712 005 20231205102803.139 100 $a20020107d1974 |0itac50 ba 101 $alat 102 $aDE 105 $a|||| 1|||| 200 1 $aActa Fratrum Arvalium$equae supersunt$frestituit et illustravit Guil. Henzen 210 $aBerolini$cTypis et impensis Georgii Reimeri$d1874 215 $accxlvi, 240 p.$d23 cm 606 $aLingua latina$xTesti$3UONC030639$2FI 620 $aDE$dBerlin$3UONL003157 676 $a470$cLingue italiche Lingua latina$v21 702 1$aHENZEN$bGuilelmus$3UONV077056 712 $aReimer Georg$3UONV272969$4650 801 $aIT$bSOL$c20250905$gRICA 899 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$2UONSI 912 $aUON00132712 950 $aSIBA - SISTEMA BIBLIOTECARIO DI ATENEO$dSI GLOTT B 12 V 027 $eSI GL 3226 5 027 996 $aActa fratrum Arvalium$9154646 997 $aUNIOR LEADER 13168nam 22008775 450 001 9910746997303321 005 20250602172813.0 010 $a9783031431456 010 $a3031431456 024 7 $a10.1007/978-3-031-43145-6 035 $a(CKB)28305299600041 035 $a(MiAaPQ)EBC30755837 035 $a(Au-PeEL)EBL30755837 035 $a(DE-He213)978-3-031-43145-6 035 $a(PPN)272735876 035 $a(OCoLC)1401910496 035 $a(EXLCZ)9928305299600041 100 $a20230926d2023 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCommunication, Networks and Computing $eThird International Conference, CNC 2022, Gwalior, India, December 8?10, 2022, Proceedings, Part II /$fedited by Ranjeet Singh Tomar, Shekhar Verma, Brijesh Kumar Chaurasia, Vrijendra Singh, Jemal H. Abawajy, Shyam Akashe, Pao-Ann Hsiung, Ramjee Prasad 205 $a1st ed. 2023. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2023. 215 $a1 online resource (330 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1894 311 08$a9783031431449 327 $aIntro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- High Dimensional Data Representation and Processing -- Brain Tumor Classification Using Feature Extraction and Non-linear SVM Hybrid Model -- 1 Introduction -- 2 Related Works -- 3 VGG-SVM Model -- 3.1 Model Architecture -- 3.2 Implementation Details and Preprocessing -- 3.3 Dataset Description -- 4 Experimental Results and Discussion -- 4.1 Results -- 4.2 Discussion -- 5 Conclusion -- References -- Lightweight Django-Based Customer Relationship Management System -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 System Feasibility and Requirement Analysis -- 3.2 Design of the System -- 3.3 Development Tools Used are Majorly Django, HTML, CSS, Bootstrap, and SQLite -- 4 Experimental Results -- 5 Conclusion and Future Scope -- References -- Single Server Banking Management System -- 1 Introduction -- 1.1 Background and Overview -- 1.2 Problem Statement -- 1.3 Objective -- 1.4 Scope -- 1.5 Organization of the Paper -- 2 Paper Preparation -- 3 Characteristics and Features -- 3.1 SIP Calculator -- 3.2 EMI Calculator -- 3.3 OTP Verification -- 3.4 Email Facility -- 4 Methodology -- 4.1 Results -- 5 Conclusion -- 5.1 Future Scope -- References -- Prioritization of MQTT Messages: A Novel Approach -- 1 Introduction -- 1.1 Message Queuing Telemetry Transport (MQTT) Protocol -- 1.2 Problem Statement -- 2 Related Work -- 3 Proposed Algorithm -- 3.1 Identifying min-max Range -- 3.2 Forwarding High Priority Messages -- 3.3 Identifying Trivial Range -- 4 Results and Discussion -- 5 Conclusion -- References -- Analysis of Crop Yield Prediction Using Machine Learning Algorithm -- 1 Introduction -- 2 Literature Survey -- 3 System Architecture -- 4 Methodology -- 5 Result Analysis -- 6 Conclusion -- 7 Future work -- References. 327 $aBig Data Analytics for Classification in Sentiment Analysis -- 1 Introduction -- 1.1 The 5 V'S of Big Data -- 1.2 Big Data Generation -- 1.3 Sentiment Analysis -- 2 Literature Review -- References -- Ensemble Classifiers for Classification of Imbalanced Dataset of Malicious and Benign Websites -- 1 Introduction -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Data Acquisition -- 3.2 Data Summarization -- 3.3 Data Analysis and Preprocessing -- 3.4 Data Sampling and Balancing -- 3.5 Machine Learning Classifiers -- 4 Performance Evaluation -- 5 Conclusion -- References -- Forecasting of Congestive Cardiac Failure Using Deep Learning Algorithms -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 3.1 System Architecture -- 3.2 Algorithms -- 4 Result -- 5 Conclusion -- References -- Internet of Things-Based Smart Irrigation System for Moisture in the Soil and Weather Forecast -- 1 Introduction -- 2 Related Work -- 3 Benefits of Smart Irrigation System -- 4 Impect of Sustainability on Smart Irrigation System -- 5 The Smart Irrigation Systems' Basic Architecture and Layout -- 6 Difficulties and Potential Outcome -- 7 Conclusion -- References -- Visual Cryptography: An Emerging Technology -- 1 Introduction -- 1.1 Visual Cryptography for Binary Image -- 1.2 Visual Cryptography for Gray Image -- 1.3 Visual Cryptography for Colored Images -- 2 Literature Survey -- 3 Applications of Visual Cryptography -- 3.1 Watermarking -- 3.2 Anti- Phishing Systems -- 3.3 Human Machine Identification -- 3.4 Secure Banking Communication -- 3.5 Defense System -- 3.6 Captcha -- 4 Results -- 5 Conclusions -- References -- Computing Techniques for Efficient Networks Design -- Machine Learning Based Techniques for the Network Design of Advanced 5G Network, Beyond 5G (B5G) and Towards 6G: Challenges and Trends -- 1 Introduction -- 2 Motivation -- 2.1 Key Contributions. 327 $a3 Challenges Associated with NGWN -- 3.1 Deployment 5G (Denser) Cells -- 3.2 MIMO Along with Beam Forming -- 3.3 Challenges Associated with the System or Network Latency -- 3.4 Improvement of the Spectral Efficiency -- 4 The Requirements of Network Intelligence: ML in Advanced 5G -- 5 Application Areas of ML in 5G/B5G: Industry Perspective -- 6 State-of-the-Art ML Approached in Advanced 5G, B5G and Towards 6G -- 6.1 The Architecture of Radio Learning -- 7 Challenges Associated with Applying ML in NGWN -- 7.1 Challenges of Implementing the Process of Desired Learning -- 7.2 Challenges of Implementing the Network Edge Intelligence -- 7.3 The Trends for Addressing Challenges in Advanced 5G -- 8 ML Incorporation: Open Issues Offer Research Directions -- 8.1 Trends Towards ML-Powered 6G Network: Edge Intelligence -- 9 Conclusion -- References -- Recognition of Speech Emotion Using Machine Learning Techniques -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Data Collection -- 2.2 Data Preparation -- 2.3 Data Visualization -- 2.4 Feature Extraction and Model Building -- 3 Results and Discussions -- 4 Conclusion -- References -- Convolution Neural Network Based Model for Classification and Identification of Fake Profile on Social Network -- 1 Introduction -- 2 Social Media -- 3 Social Media Mining -- 4 Social Media Spam -- 5 Related Work -- 6 Proposed framework for Identifying Malicious Profile over Social Media -- 7 Result Analysis -- 8 Conclusion -- References -- Social Distance Monitoring and Infection Risk Assessment in COVID-19 Pandemic -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Human Detection -- 3.2 Location Tracking -- 3.3 Inter Distance Estimation -- 3.4 Inter Distance Estimation -- 3.5 Inter Distance Estimation -- 4 Results -- 5 Conclusion -- References -- Vibrations Signal Analysis of Cantilever Beam Using Machine Learning. 327 $a1 Introduction -- 2 Literature Survey -- 3 Proposed System -- 4 Results -- 5 Future Scope of the Work -- References -- Pneumonia Detection Using Deep Learning: A Bibliometric Study -- 1 Introduction -- 2 Materials and Methods -- 2.1 Selection of Articles -- 3 Results -- 4 Discussion -- 5 Conclusion -- References -- Numerical Simulation Design of Multiple Users Offloading Using Improved Optimization Approach for Edge Computing -- 1 Introduction -- 2 Mobile Edge/Fog Computing -- 3 Related Works -- 4 Modelling of the System -- 5 Simulation and Results -- 6 Conclusion -- References -- Numerical Simulation and Mathematical Modelling of Machine Learning Based Improved Crypto Currency Forecasting System -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 4 Result Analysis -- 4.1 Dataset -- 4.2 Flow Chart of Simulation -- 4.3 Result Discussion -- 5 Conclusion and Future Scope -- References -- Reinforcement Learning in Blockchain-Enabled IIoT Networks -- 1 Introduction -- 2 Interconnection Between Blockchain, IIoT, and AI -- 3 Blockchain Technology and IIoT -- 4 Reinforcement Learning Techniques -- 4.1 Q-Learning -- 4.2 Multi-armed Bandit Learning -- 4.3 Actor-Critic Learning -- 5 Blockchain-Enabled IIoT Network -- 5.1 Security -- 5.2 Cost Effectiveness -- 5.3 Trustless -- 5.4 Autonomy -- 5.5 Smart Contracts -- 5.6 Blockchain-Enabled IIoT Layers -- 5.7 Physical Layer -- 5.8 Network Layer -- 5.9 Application Layer -- 6 Reinforcement Learning Applications in Blockchain-Enabled IIoT Network -- 6.1 Minimizing Forking Events -- 6.2 Improving Energy Efficiency -- 6.3 Time to Finality Minimization -- 6.4 Enhancing Transaction Throughput -- 6.5 Improving Link Security -- 6.6 Average Blocktime Reduction -- 7 Conclusion -- References -- Practical Challenges in Implementation of Information and Communication Technology -- 1 Introduction. 327 $a2 Research Methodology -- 3 Bibliometric Details -- 3.1 Authors -- 3.2 Source Documents and Keywords -- 3.3 Countries, Sponsors, and Affiliations -- 4 Thematic Discussion -- 4.1 Technological and Implementation Challenges -- 4.2 Infrastructure Based Challenges -- 4.3 Teacher Related Challenges -- 4.4 Student Related Challenges -- 4.5 Other Challenges -- 5 Future Research Agenda -- 5.1 Other Challenges -- 5.2 Research Niches -- 6 Conclusion -- References -- Facial Analytics or Virtual Avatars: Competencies and Design Considerations for Student-Teacher Interaction in AI-Powered Online Education for Effective Classroom Engagement -- 1 Introduction -- 2 Background -- 3 Conceptual Foundation -- 4 AI-Powered Online Learning -- 5 Methods and Methodology -- 5.1 Creation of a Storyboard -- 5.2 Participants -- 5.3 Procedure -- 5.4 Data Analysis -- 6 Findings -- 6.1 Communication -- 6.2 Quantity and Quality -- 6.3 Responsibility -- 6.4 Support -- 6.5 Agency -- 6.6 Connection -- 6.7 Surveillance -- 7 Analysis and Conclusion -- References -- Vehicular Technology and Applications -- Real Time Connectivity Analysis of Vehicles in Different City Dense Environment -- 1 Introduction -- 2 Problem Description -- 2.1 VANET Scenario -- 2.2 VANETsim Overview -- 3 Performance Evaluation -- 4 Results and Discussion -- 5 Conclusion -- References -- Design and Analysis of Energy Efficient Wireless Senor Network with 6LoWPAN IoT Gateway -- 1 Introduction -- 2 Wireless Energy Harvesting and Implementation Techniques -- 2.1 Role of Performance Parameters in the Proposed System -- 3 Proposed System Model of Wireless Sensor Network with 6LoWPAN Gateway -- 4 Simulation Results and Discussion -- 5 Conclusion and Future Work -- References -- Energy-Efficient Data Routing Protocols for Sink Mobility in Wireless Sensor Networks -- 1 Introduction -- 1.1 Motivation -- 2 Related Work. 327 $a3 Research Gaps. 330 $aThese two volumes constitute the selected and revised papers presented at the Second International Conference on Communication, Networks and Computing, CNC 2022, held in Gwalior, India, in December 2022. The 53 full papers were thoroughly reviewed and selected from the 152 submissions. They focus on the exciting new areas of wired and wireless communication systems, high-dimensional data representation and processing, networks and information security, computing techniques for efficient networks design, vehicular technology and applications and electronic circuits for communication systems that promise to make the world a better place to live in. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1894 606 $aComputer engineering 606 $aComputer networks 606 $aArtificial intelligence 606 $aData structures (Computer science) 606 $aInformation theory 606 $aImage processing$xDigital techniques 606 $aComputer vision 606 $aComputer Engineering and Networks 606 $aArtificial Intelligence 606 $aData Structures and Information Theory 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 615 0$aComputer engineering. 615 0$aComputer networks. 615 0$aArtificial intelligence. 615 0$aData structures (Computer science) 615 0$aInformation theory. 615 0$aImage processing$xDigital techniques. 615 0$aComputer vision. 615 14$aComputer Engineering and Networks. 615 24$aArtificial Intelligence. 615 24$aData Structures and Information Theory. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 676 $a621.39 676 $a004.6 700 $aTomar$b Ranjeet Singh$01429332 701 $aVerma$b Shekhar$01429333 701 $aChaurasia$b Brijesh Kumar$01429334 701 $aSingh$b Vrijendra$01429335 701 $aAbawajy$b Jemal H$01429336 701 $aAkashe$b Shyam$01429337 701 $aHsiung$b Pao-Ann$0951873 701 $aPrasad$b Ramjee$0534854 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910746997303321 996 $aCommunication, Networks and Computing$93568318 997 $aUNINA