Database Machine Performance: Modeling Methodologies and Evaluation Strategies [[electronic resource] /] / edited by Francesca Cesarini, Silvio Salza

• Record Nr.: UNISA996465702403316
• Pubbl/distr/stampa: Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 1987
• ISBN: 3-540-47140-5
• Edizione: [1st ed. 1987.]
• Descrizione fisica: 1 online resource (XII, 252 p.)
• Collana: Lecture Notes in Computer Science, , 0302-9743 ; ; 257
• Disciplina: 005.743
• Soggetti: Computers; Database management; Models and Principles; Database Management
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Nota di contenuto: 1 Introduction -- 2 Evaluation criteria and performance indexes -- 3 Modeling and measuring methodologies -- 4 Database workload modeling -- 5 A procedural strategy for database machine analysis -- 6 A performance study on host-backend communication -- 7 Performance modeling of the DBMAC architecture -- 8 Analysis of filtering efficiency in the database machine verso -- 9 A technique for analyzing query execution in a multiprocessor database machine -- 10 Database machine design and performance evaluation: Annotated bibliography.
• Sommario/riassunto: This book is focused on the performance evaluation of database machines, i.e., special-purpose architectures specifically meant to improve the efficiency of database applications. The topic is of primary interest because of the need to compare these systems among themselves and with traditional database management systems. The book gathers the experience of several European research groups in modeling and analyzing the database machine architectures they have proposed. It deals both with the main methodological issues and with the detailed analysis of some relevant problems. It also includes an extensive annotated bibliography with more than one hundred ; references and several keys for the access to the literature.

Equality : a new framework : report of the independent review of the enforcement of UK anti-discrimination legislation / / Bob Hepple, Mary Coussey, Tufyal Choudhury

• Record Nr.: UNINA9910784264003321
• Autore: Hepple B. A.
• Pubbl/distr/stampa: Oxford ; ; Portland, Oregon : , : Hart Publishing, , 2000
• ISBN: 1-4725-6212-7; 1-280-80117-4; 9786610801176; 1-84731-232-2
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (172 p.)
• Disciplina: 344.4101133; 929.20973
• Soggetti: Discrimination - Law and legislation - Great Britain
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: "The University of Cambridge Centre for Public Law and Judge Institute of Management Studies."
• Nota di bibliografia: Includes bibliographical references (pages [143]-145).
• Nota di contenuto: Introduction - Aims and Methodology -- Ch. 1 - Why a new famework is needed -- Ch. 2 - Harmonising legislation and institutions -- Ch. 3 - Changing organisational policy and behaviour -- Ch. 4 - Making procedures and remedies more effective -- Appendices.
• Sommario/riassunto: "The need for a legislative framework for ensuring equality of opportunity is not seriously questioned in the UK. However,despite the presence on the Statute book of various significant pieces legislation dating back to the mid 1970s, there remain deep-seated structural disadvantages which blight the lives of many women, Black and Asian people, and disabled persons. The Stephen Lawrence inquiry report highlighted the presence of institutionalised racism in the police. Similar barriers can also be found in other public services and in private sector organisations. There are also insistent demands for the extension of legislation to cover discrimination on other grounds such ; as religion, age and sexual orientation. Discriminatory behaviour cannot be remedied by legislation alone, or simply by the actions of government, courts and tribunals and Commissions. Political and social leadership, customer and peer pressure, the development of good practices and campaigning all have a crucial part to play. Employers, trade unions, social organisations and clubs, service providers and individuals all have to take voluntary action to achieve the goals of the legislation. One thing that is clear is that the present legislation is badly in need of modernisation. The present acts are outdated, piecemeal and inconsistent. They fall short of the standards set by EU law, international human rights law, and the Human Rights Act. In writing this report, the authors set out to develop an accessible and cost-effective legislative framework for ensuring equality of opportunity, and to propose other measures which will promote equal opportunity policies and spur compliance with those policies. In the course of preparing the report they have considered experience in other countries. They have heard from many individuals and organisations who have either experienced the effects of discrimination or attempted to counter it. They conducted a survey of employers in Britain, Northern Ireland and the USA, which shows that human resource managers are looking for a new more inclusive approach not only to prevent discrimination but also to provide positively for the fair participation of all groups. These views, together with those of an advisory group drawn from government, the Commissions, and tribunals, as well as a panel of academic and practising lawyers, form the backdrop to the recommendations contained in this report. Coming at a time when the Government is committed to introducing new equality legislation the report is bound to be highly influential. It will be essential reading for all those interested in human rights, discrimination and employment law, and human resources management."--Bloomsbury Publishing.

Advancements in Smart Computing and Information Security : First International Conference, ASCIS 2022, Rajkot, India, November 24–26, 2022, Revised Selected Papers, Part I / / edited by Sridaran Rajagopal, Parvez Faruki, Kalpesh Popat

• Record Nr.: UNINA9910644261503321
• Pubbl/distr/stampa: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2022
• ISBN: 9783031230929; 3031230922
• Edizione: [1st ed. 2022.]
• Descrizione fisica: 1 online resource (482 pages)
• Collana: Communications in Computer and Information Science, , 1865-0937 ; ; 1759
• Disciplina: 943.005; 006.3
• Soggetti: Artificial intelligence; Application software; Computer engineering; Computer networks; Computers; Artificial Intelligence; Computer and Information Systems Applications; Computer Engineering and Networks; Computing Milieux
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Preface -- Organization -- Abstracts of Keynotes -- Post-pandemic Applications of AI and Machine Learning -- Smart and Soft Computing Methods for Prioritizing Software Requirements in Large-Scale Software Projects -- Your Readiness for Industry 4.0 -- Securing NexGen Automotives - Threats and Trends -- Cyber Attacks Classification and Attack Handling Methods Using Machine Learning Methods -- The Internet of Things (IoT) Ecosystem Revolution in the World of Global Sports -- Orchestration of Containers: Role of Artificial Intelligence -- Enterprise Cybersecurity Strategies in the Cloud -- Contents - Part I -- Contents - Part II -- Artificial ; Intelligence -- Galaxy Classification Using Deep Learning -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 3.1 Dataset Collection -- 3.2 Proposed Deep Galaxies CNN Model -- 3.3 Overview of Algorithms -- 4 Comparative Results -- 4.1 Model Accuracy -- 5 Conclusion and Future Scope -- References -- Word Sense Disambiguation for Hindi Language Using Neural Network -- 1 Introduction -- 2 Related Work -- 2.1 Background -- 2.2 Variants of Word Sense Disambiguation Work -- 2.3 Existing Approaches for Disambiguation -- 3 Proposed Approach for WSD -- 3.1 Architecture of the Proposed WSD Model -- 3.2 Implementation Details -- 4 Result Discussion -- 5 Conclusion and Future Directions -- References -- Social Media Addiction: Analysis on Impact of Self-esteem and Recommending Methods to Reduce Addiction -- 1 Introduction -- 2 Related Work -- 3 Measures -- 3.1 Bergen Social Media Addiction Scale (BSMAS) [5] -- 3.2 Rosenberg Self-esteem Scale (RSES) [5] -- 3.3 Recommendation Methods [14, 15] -- 3.4 Dataset Collection 1 -- 3.5 Dataset Collection 2 -- 4 Proposed Methodology -- 4.1 Statistical Analysis -- 4.2 Recommendation System -- 5 Results and Discussion -- 5.1 Statistical Analysis.; 5.2 Recommendation System -- 6 Conclusion -- References -- A Combined Method for Document Image Enhancement Using Image Smoothing, Gray-Level Reduction and Thresholding -- 1 Introduction -- 2 Types of Noises -- 2.1 Speckle Noise -- 2.2 Gaussian Noise -- 2.3 Salt and Pepper Noise -- 3 Proposed Work for Document Image Enhancement -- 3.1 Edge Preserving Image Smoothing -- 3.2 Gray Level Reduction -- 3.3 Image Thresholding Using Otsu's Method -- 4 Experimentation and Results -- 5 Conclusions and Future Work -- References -- A Comparative Assessment of Deep Learning Approaches for Opinion Mining -- 1 Introduction -- 2 Literature Review -- 3 Tools for Opinion Mining -- 4 Deep Learning Techniques -- 4.1 Convolutional Neural Network (CNN) -- 4.2 Recurrent Neural Network (RNN) -- 4.3 Long Short Term Memory (LSTM) -- 4.4 Deep Neural Networks (DNN) -- 4.5 Deep Belief Networks (DBN) -- 4.6 Recursive Neural Network (RECNN) -- 4.7 Hybrid Neural Network -- 5 System Architecture -- 6 Advantages of Deep Learning -- 7 When to Use Deep Learning -- 8 Disadvantages of Deep Learning -- 9 Conclusion -- References -- Performance Enhancement in WSN Through Fuzzy C-Means Based Hybrid Clustering (FCMHC) -- 1 Introduction -- 2 Related Work -- 3 Network Model -- 3.1 Radio Model -- 3.2 Assumptions -- 4 Proposed Algorithm -- 4.1 Cluster Formation Phase -- 4.2 Cluster Head Selection Phase -- 4.3 Communication Phase -- 5 Analytical Evaluation of Performance -- 5.1 Performance Metrics -- 5.2 Simulation Parameters -- 5.3 Results and Discussion -- 6 Conclusion -- References -- A Review of Gait Analysis Based on Age and Gender Prediction -- 1 Introduction -- 2 Gait Analysis and Feature Extraction -- 2.1 Gait and Gait Cycle -- 2.2 Gait and Gait Cycle -- 2.3 Gait and Gait Cycle -- 2.4 Motivation and Application of GEI Motivation -- 3 Evolution Metric -- 4 Related Work.; 5 Comparison and Summary of Related Research Work -- 6 Future Work -- 7 Limitations and Challenges -- 8 Conclusion -- References -- Handwritten Signature Verification Using Convolution Neural Network (CNN) -- 1 Introduction -- 1.1 About the Domain -- 2 Related Work -- 3 Proposed Methodology -- 3.1 Converting Image to Binary -- 3.2 Noise Removal -- 3.3 Image Enlargement -- 4 Feature Extraction -- 5 Feature Selection -- 6 Classification -- 7 Conclusion and Future Work -- References -- Comparative Analysis of Energy Consumption in Text Processing Models -- 1 Introduction -- 2 Existing Approaches -- 3 Exploration of the Data-Set -- 3.1 Average Word Length -- 3.2 Average ; Character Length -- 3.3 Number of Comments -- 4 Modelling -- 4.1 Simple Machine Learning Model -- 4.2 DistilBERT Model -- 4.3 Conv1D Model -- 4.4 Gated Recurrence Unit - GRU Model -- 5 Results -- 6 Conclusion -- References -- Evolution Towards 6G Wireless Networks: A Resource Allocation Perspective with Deep Learning Approach - A Review -- 1 Introduction -- 1.1 6G Vision -- 1.2 Technical Objectives of 6G -- 2 Resource Allocation for 6G Wireless Networks -- 3 Summary of Deep Learning Algorithms Used for 6G Wireless Networks Resource Allocation -- 4 Conclusion and Future Scope -- Appendix -- References -- Automation of Rice Leaf Diseases Prediction Using Deep Learning Hybrid Model VVIR -- 1 Introduction -- 2 Literature Survey -- 3 Methodology -- 4 Results -- 5 Discussion -- References -- A Review Based on Machine Learning for Feature Selection and Feature Extraction -- 1 Introduction -- 2 Preliminaries -- 2.1 Feature Selection -- 2.2 Reducing the Dimensionality -- 3 Related Works -- 3.1 Feature Selection Approaches -- 3.2 Feature Extraction Approaches -- 4 Discussion -- 5 Conclusion -- References -- Automating Scorecard and Commentary Based on Umpire Gesture Recognition -- 1 Introduction.; 2 Literature Survey -- 3 Methodology -- 3.1 Umpire Gestures -- 3.2 Dataset -- 3.3 Feature Extraction -- 3.4 Classification of Umpire Gestures -- 3.5 Scorecard Updating Feature -- 4 Results and Discussion -- 5 Conclusion -- References -- Rating YouTube Videos: An Improvised and Effective Approach -- 1 Introduction -- 2 Previous Work -- 3 Implementation -- 3.1 Comment Collection and Preprocessing -- 3.2 Sentiment Measure -- 3.3 Word Cloud -- 3.4 Video Rating -- 4 Performance Review of Proposed Approach -- 4.1 Major Application: Detection of Clickbait Videos -- 5 Limitations and Loopholes -- 6 Result -- 7 Conclusion -- 8 Future Work -- References -- Classification of Tweet on Disaster Management Using Random Forest -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 3.1 Preprocessing -- 3.2 Training, Validation and Testing -- 3.3 Feature Extraction -- 3.4 Random Forest Classification -- 3.5 Location Extraction -- 4 Results and Discussions -- 5 Datasets -- 6 Experiment -- 7 Validation -- 8 Conclusions -- References -- Numerical Investigation of Dynamic Stress Distribution in a Railway Embankment Reinforced by Geogrid Based Weak Soil Formation Using Hybrid RNN-EHO -- 1 Introduction -- 2 Proposed Methodology -- 2.1 Model Clay Barrier's Compositional Characteristics -- 2.2 Geogrid -- 2.3 Measuring Subgrade Stiffness -- 2.4 Multi Objective Function -- 2.5 Improving Settlement-Based Geogrid using Hybrid RNN-EHO Technique -- 2.6 The Procedure of the EHO in Realizing the Learning of RNN -- 3 Results and Discussion -- 3.1 Uncertainty Analysis -- 4 Conclusion -- References -- Efficient Intrusion Detection and Classification Using Enhanced MLP Deep Learning Model -- 1 Introduction -- 2 Literature Review -- 3 Proposed Methodology -- 4 Results and Discussion -- 5 Conclusion -- References.; Classification of Medical Datasets Using Optimal Feature Selection Method with Multi-support Vector Machine -- 1 Introduction -- 2 Related Works -- 3 Proposed Method -- 4 Results and Discussions -- 5 Conclusions -- References -- Predicting Students' Outcomes with Respect to Trust, Perception, and Usefulness of Their Instructors in Academic Help Seeking Using Fuzzy Logic Approach -- 1 Introduction -- 2 Literature Review -- 3 Proposed Work -- 4 Results and Discussions -- 5 Conclusion -- References -- Smart Computing -- Automatic Cotton Leaf Disease Classification and Detection by Convolutional Neural Network -- 1 Introduction -- 2 Literature Review -- 3 List of Cotton Diseases -- 4 Materials and Methods -- 4.1 ; Dataset and Data Augmentation -- 4.2 CNN Pre-trained Architectures -- 4.3 Classification by Proposed CNN -- 5 Results and Discussions of Research -- 5.1 Pre-trained Model -- 6 Conclusion -- References -- Analytical Review and Study on Emotion Recognition Strategies Using Multimodal Signals -- 1 Introduction -- 2 Literature Survey -- 2.1 Classification of Emotion Recognition Strategies -- 3 Research Gaps and Issues -- 4 Analysis and Discussion -- 4.1 Analysis with Respect to Publication years -- 4.2 Analysis on the Basis of Strategies -- 4.3 Analysis on the Basis of Implementation Tool -- 4.4 Analysis in Terms of Employed Datasets -- 4.5 Analysis on the Basis of Evaluation Measures -- 4.6 Analysis Using Evaluation Measures Values -- 5 Conclusion -- References -- An Image Performance Against Normal, Grayscale and Color Spaced Images -- 1 Introduction -- 2 Overview of Image Matching Techniques -- 2.1 SIFT -- 2.2 SURF -- 2.3 ORB -- 3 Experimental Results -- 3.1 L*A*B* Color Space -- 4 Conclusion -- References -- Study of X Ray Detection Using CNN in Machine Learning -- 1 Introduction -- 2 Literature Review -- 2.1 Methods.; 3 Algorithm CNN Model Algorithm Model = Sequential().
• Sommario/riassunto: This two-volume constitutes the refereed proceedings of the First International Conference on Advancements in Smart Computing and Information Security, ASCIS 2022, held in Rajkot, India, in November 2022. The 37 full papers and 18 short papers presented were thoroughly reviewed and selected from the 206 submissions. The papers are organized in topical sections on artificial intelligence; smart computing; cyber security; industry.