Top 12 Apps Similar to Mining Surveying - I
Surveying: Engineering study 7
This free App covers most important topics in simpleEnglishanddiagrams for a quick study and revisions at the timeofExams,Viva, Assignments and Job interviews. It is the mostusefulApp forlast minute preparations. The best app for school,collegeandwork. If you are a student It will help to learn a lot.ThisusefulApp lists 144 topics in 5 chapters, totally basedonpractical aswell as a strong base of theoretical knowledgewithnotes writtenin very simple and understandable English.Considerthis App as aquick note guide which professors use in aclassroom.The App willhelp in faster learning and quick revisionsof all thetopics. Someof the topics Covered in the app are: 1.INTRODUCTION2. BASICMEASUREMENTS 3. CONTROL NETWORKS 4. LOCATINGPOSITION 5.PLOTTINGDETAIL 6. Computer-aided design (CAD) 7. Erroranduncertainty 8.SIGNIFICANT FIGURES 9. ERRORS IN MEASUREMENT10.Probability 11.INDICES OF PRECISION 12. COMBINATION OF ERRORS13.Uncertainty ofaddition or subtraction 14. LEVELLING 15.CURVATUREAND REFRACTION16. EQUIPMENT 17. INSTRUMENT ADJUSTMENT 18.Automaticlevel 19.PRINCIPLE OF LEVELLING 20. SOURCES OF ERROR21.LEVELLINGAPPLICATIONS 22. Direct and Indirect contouring23.RECIPROCALLEVELLING 24. PRECISE LEVELLING 25. Parallelplatemicrometer 26.Field procedure 27. Booking and computing 28.DIGITALLEVELLING 29.Factors affecting the measuring procedure30.TRIGONOMETRICALLEVELLING 31. Contouring 32. HEIGHTING WITH GPS33.TAPES 34. FIELDWORK 35. Measuring in catenary 36.DISTANCEADJUSTMENT 37. Sag 38.ERRORS IN TAPING 39. Tension, Sag andSlope40. ELECTROMAGNETICDISTANCE MEASUREMENT (EDM) 41.INSTRUMENTADJUSTMENT 42. FIELDPROCEDURE 43. Setting up using theopticalplumb-bob 44. MEASURINGANGLES 45. Measurement by directions46.SOURCES OF ERROR 47. PLANERECTANGULAR COORDINATES 48.TRAVERSING49. Reconnaissance 50.Sources of error 51. Traversecomputation 52.TRIANGULATION 53.Resection and intersection 54.Resection 55.NETWORKS 56. PRINCIPLEOF LEAST SQUARES 57.LINEARIZATION 58.NETWORKS 59. PRINCIPLE OFLEAST SQUARES 60. LEASTSQUARES APPLIED TOSURVEYING 61.LINEARIZATION 62. PARAMETER VECTOR63. DESIGN MATRIXANDOBSERVATIONS VECTOR 64. Plan network 65.Distance equation66.Direction & Angle equation 67. WEIGHTMATRIX 68. ERRORANALYSIS69. VARIANCE-COVARIANCE MATRIX OF THEPARAMETERS 70. ERRORELLIPSES71. Eigenvalues, eigenvectors and errorellipses 72.BLUNDERDETECTION 73. RELIABILITY OF THE OBSERVATIONS74.PRACTICALCONSIDERATIONS 75. ESTIMATION IN THREE DIMENSIONS76.REFERENCEELLIPSOID 77. The geoid 78. The ellipsoid 79.COORDINATESYSTEMS80. Geodetic coordinates 81. Cartesian coordinates82.Planerectangular coordinates 83. Height 84. LOCAL SYSTEMS85.Deviationof the vertical 86. COMPUTATION ON THE ELLIPSOID87.DATUMTRANSFORMATIONS 88. ORTHOMORPHIC PROJECTION 89.ORDNANCESURVEYNATIONAL GRID 90. (t - T) correction 91.PRACTICALAPPLICATIONS 92.Introduction of Satellite positioning 93.GPSSEGMENTS 94. GPS 95.SATELLITE ORBITS 96. BASIC PRINCIPLEOFPOSITION FIXING 97.DIFFERENCING DATA 98. GPS OBSERVING METHODS99.Kinematicpositioning Surveying is part of Civilengineeringeducation invarious colleges and univeristies globally.
Data mining & Data Warehousing 7
The app is a complete free handbook of Data mining &DataWarehousing which cover important topics, notes, materials,news& blogs on the course. Download the App as a referencematerial& digital book for computer science, AI, datascience& software engineering programs & businessmanagementdegree courses. This useful App lists 200 topicswithdetailed notes, diagrams, equations, formulas &coursematerial, the topics are listed in 5 chapters. The app ismust havefor all the computer science & engineering students&professionals. The app provides quick revision andreferenceto the important topics like a detailed flash card notes,it makesit easy & useful for the student or a professional tocover thecourse syllabus quickly before an exams or interviewforjobs. Track your learning, set reminders, edit thestudymaterial, add favorite topics, share the topics onsocialmedia. You can also blog about engineeringtechnology,innovation, engineering startups, college researchwork,institute updates, Informative links on course materials&education programs from your smartphone or tablet orathttp://www.engineeringapps.net/. Use this usefulengineeringapp as your tutorial, digital book, a reference guidefor syllabus,course material, project work, sharing your views ontheblog. Some of the topics Covered in the app are:1.Introduction to Data mining 2. Data Architecture 3.Data-Warehouses(DW) 4. Relational Databases 5. TransactionalDatabases 6. AdvancedData and Information Systems and AdvancedApplications 7. DataMining Functionalities 8. Classification ofData Mining Systems 9.Data Mining Task Primitives 10. Integrationof a Data Mining Systemwith a DataWarehouse System 11. Major Issuesin Data Mining 12.Performance issues in Data Mining 13.Introduction to DataPreprocess 14. Descriptive Data Summarization15. Measuring theDispersion of Data 16. Graphic Displays of BasicDescriptive DataSummaries 17. Data Cleaning 18. Noisy Data 19. DataCleaningProcess 20. Data Integration and Transformation 21.DataTransformation 22. Data Reduction 23. Dimensionality Reduction24.Numerosity Reduction 25. Clustering and Sampling 26.DataDiscretization and Concept Hierarchy Generation 27.ConceptHierarchy Generation for Categorical Data 28. Introductionto Datawarehouses 29. Differences between Operational DatabaseSystems andData Warehouses 30. A Multidimensional Data Model 31.AMultidimensional Data Model 32. Data Warehouse Architecture 33.TheProcess of Data Warehouse Design 34. A Three-Tier DataWarehouseArchitecture 35. Data Warehouse Back-End Tools andUtilities 36.Types of OLAP Servers: ROLAP versus MOLAP versus HOLAP37. DataWarehouse Implementation 38. Data Warehousing to DataMining 39.On-Line Analytical Processing to On-Line AnalyticalMining 40.Methods for Data Cube Computation 41. Multiway ArrayAggregationfor Full Cube Computation 42. Star-Cubing: ComputingIceberg CubesUsing a Dynamic Star-tree Structure 43. Pre-computingShellFragments for Fast High-Dimensional OLAP 44. DrivenExploration ofData Cubes 45. Complex Aggregation at MultipleGranularity: Multifeature Cubes 46. Attribute-Oriented Induction47.Attribute-Oriented Induction for Data Characterization48.Efficient Implementation of Attribute-Oriented Induction 49.MiningClass Comparisons: Discriminating between Different Classes50.Frequent patterns 51. The Apriori Algorithm 52. Efficientandscalable frequently itemset mining methods Each topic iscompletewith diagrams, equations and other forms ofgraphicalrepresentations for better learning and quickunderstanding. Data mining & Data Warehousing is part ofcomputer science,software engineering, AI, Machine learning &StatisticalComputing education course and information technology&business management degree programs at variousuniversities.
Surveying Engineering 1.0
This is a very useful app for the engineeringstudents.Whichcontains all important topic of SurveyingEngineering. Even you canconsider this App as notes while studyingin a classroom. You canvery easily pass and succeed in your examsif you have this App inyour mobile phone. Easy to use and mostimportant it works Offline.
Underground Mining 1.2
This app is based on years of learningachievedin one of the world's largest underground mines, howeverthis cyclewill serve everyone working within any underground mine,as isstandard aims to control, reduce and minimize the risksassociatedwith development activities and tunneling, eliminatingexposure ofworkers to rockfalls and other risks of undergroundmining can causeserious, fatal injuries and loss processes.We want to be a working tool at your fingertips.Ideal for student, workers, supervisors, mining professionalsandother mining throughout the country and the world.
