Tabla de Contenidos: “…2.6 Classification on the Basis of Audit Dimension -- 2.6.1 Management Audit -- 2.6.2 Cost Audit -- 2.6.3 Tax Audit -- 2.6.4 Human Resource Audit -- 2.6.5 System Audit -- 2.6.6 Propriety Audit -- 2.6.7 Performance or Efficiency Audit -- 2.6.8 Environmental Audit -- 2.6.9 Social Audit -- 2.6.10 Cash Transaction Audit -- 2.6.11 Energy Audit -- 2.6.12 Secretarial Audit -- Points to Ponder -- Review Questions -- Chapter 3: Techniques and Procedures of Auditing -- 3.1 Introduction -- 3.2 Preparatory Steps before Commencement of Audit -- 3.3 Preparation by the Auditor -- 3.3.1 Audit Planning -- 3.3.2 Audit Programme -- 3.3.3 Audit Notebook -- 3.3.4 Audit Working Papers -- 3.3.5 Audit Files -- 3.3.6 Audit Manual -- 3.3.7 Audit Memorandum -- 3.4 Principles and Techniques of Auditing -- 3.4.1 Important Audit Techniques -- 3.5 Procedures Followed in Course of Audit -- 3.5.1 Audit Evidence -- 3.5.2 Routine Checking -- 3.5.3 Test Checking -- 3.5.4 Auditing in Depth -- 3.5.5 Cut-off Examination -- 3.5.6 Statistical Sampling -- 3.5.7 Surprise Checking -- 3.5.8 Audit Flow Chart -- 3.5.9 Internal Control Questionnaires -- 3.5.10 Audit Tests -- Points to Ponder -- Review Questions -- Chapter 4: Internal Control, Internal Check and Internal Audit -- 4.1 Introduction -- 4.2 Internal Control -- 4.2.1 Definition -- 4.2.2 Basic Elements of Internal Control -- 4.2.3 Objectives of Internal Control -- 4.2.4 Types of Internal Control -- 4.2.5 Evaluation of Internal Control -- 4.2.6 Internal Control and the Auditor -- 4.2.7 Internal Control in Specific Areas of Business -- 4.2.8 Internal Control Questionnaire -- 4.3 Internal Check -- 4.3.1 Definition -- 4.3.2 General Considerations in Framing a System of Internal Check -- 4.3.3 Objectives of Internal Check -- 4.3.4 Shortcomings of Internal Check System -- 4.3.5 Safeguard Against the Shortcomings of Internal Check…”

Tabla de Contenidos: “…-- 3.5 Manufacturing Explorers -- 3.5.1 A Mom-and-Pop Shop Learns Statistical Process Control (SPC) -- 3.6 Retail Explorers -- 3.6.1 Small Plant Nursery Benefits from Marketing Analytics -- 3.6.2 Auto Parts Retailer Discovers Demand Forecasting and Inventory Management Analytics -- 3.7 Energy Explorers -- 3.7.1 Green Energy Company Leverages the Power of Financial Simulation -- 3.8 Financial Services and Insurance Explorers -- 3.8.1 A Small Credit Union Enters the Analytics Space -- 3.9 Other Explorers -- 3.9.1 Smart Apps Enabling "Low-Tech" Industries from Farmers and Ranchers…”

Tabla de Contenidos: “…13.7 Experiments with training to the cross-covariance matrix E -- 14 Exact 2D rotations for cloud matching and pose estimation tasks -- 14.1 2D point-cloud orientation matching -- 14.2 2D parallel projection pose estimation -- 14.3 2D perspective projection -- 15 Exact 3D rotations for cloud matching and pose estimation tasks -- 15.1 Basics -- 15.2 3D point-cloud matching -- 15.3 Direct solution of the error-free 3D match problem -- 15.3.1 Solving the 3D match least-squares loss function algebraically -- 15.4 3D to 2D orthographic pose estimation -- 15.4.1 Least-squares solution to error-free orthographic pose problem -- 15.4.2 Remarks on variational approaches to solving matching problems -- 15.5 3D pose estimation with perspective projection -- 15.5.1 The exact perspective solution -- 15.6 Remarks on handling data with measurement errors -- 4 Quaternion proteomics -- 16 Quaternion protein frame maps -- 16.1 Quaternion maps of global protein structure -- 16.2 Related work -- 16.3 Introduction to quaternion maps -- 16.3.1 Quaternion orientation frames -- 16.4 Quaternion distance -- 16.5 Protein frame geometry -- 16.5.1 Visualizing quaternions as geometry -- 16.5.2 Visualizing quaternions as coordinates -- 16.5.3 Collections of frames via quaternion maps -- 16.6 Studies in quaternion frame maps -- 16.6.1 Alpha-helix model: quaternion frames of idealized curves -- 16.6.2 Beta-sheet model: extreme quaternion frames -- 16.6.3 Quaternion frames from spline curves of PDB backbones -- 16.7 Quaternion frames from discrete PDB data -- 16.8 Example applications of discrete global quaternion frames -- 16.8.1 Quaternion frames of rigid proteins -- 16.8.2 Statistical quaternion groupings of NMR data -- 16.8.3 Enzyme functional structures -- 16.9 Tools for exploring and comparing quaternion maps -- 16.9.1 Aids for exploring quaternion maps…”

Tabla de Contenidos: “…4.10 Data Handling Technologies -- 4.10.1 Flow of Data -- 4.10.2 Data Acquisition -- 4.10.3 Data Storage -- 4.10.4 Introduction to Hadoop -- 4.11 Introduction to Data Analytics -- 4.11.1 Types of Data Analytics -- 4.11.2 Statistical Models -- 4.11.3 Analysis of Variance -- 4.11.4 Data Dispersion -- 4.11.5 Contingence and Correlation -- 4.11.6 Regression Analysis -- 4.11.7 Precision and Error Limits -- 4.12 Challenges in IoT with Big Data Analytics -- References -- Chapter 5 Roles of Cloud Computing, Fog Computing, and Edge Computing -- 5.1 Cloud Analytics for IoT Applications -- 5.1.1 Introduction to Cloud Computing -- 5.1.2 Differences between Cloud Computing and Fog Computing -- 5.1.3 The Next Evolution of Cloud Computing -- 5.1.4 The Role of Cloud Computing in IoT -- 5.1.5 Connecting IoT to the Cloud -- 5.1.6 Challenges in the Integration of IoT with Cloud -- 5.2 Cloud of Things -- 5.2.1 Grid/SOA and Cloud Computing -- 5.2.2 Cloud Middleware -- 5.2.3 Cloud Standards: Cloud Providers and Systems -- 5.2.4 Mobile Cloud Computing (MCC) -- 5.2.5 The Cloud of Things Architecture -- 5.3 Fog Computing -- 5.3.1 When to Use Fog Computing -- 5.3.2 Advantages and Limitations of Fog Computing -- 5.3.3 Need for Fog Computing -- 5.3.4 Fog Computing Architecture -- 5.3.5 Working of Fog Computing -- 5.3.6 Layered Fog Computing Architecture -- 5.4 Edge Computing -- 5.4.1 What Is Edge Computing? …”

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