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Home All Updates (3706) IEEE 2018 – 19 IMAGE
IEEE 2018 – 19 IMAGE PROCESSING PROJECT TITLES S.NO PROJECT TITLES RESEARCH PROJECTS 1. Single phase 127 level inverter using only 10 switches towards harmonics mitigation 2. Single phase sixty three level inverter using only nine switches towards THD reduction 3. Single phase thirty one level inverter using only eight switches towards THD reduction 4. Single phase grid connected hybrid energy system using LUO converter with MPPT algorithm 5. Single phase grid connected hybrid energy system using LANDSMAN converter with MPPT algorithm 6. Z source network based sensorless DTC control of BLDC motor 7. Bridge less interleaved SEPIC converter based power factor correction for nonlinear loads 8. Bridge less interleaved LUO converter based power factor correction for nonlinear loads. 9. Solar based Landsman converter for sensorless BLDC motor. POWER FACTOR CORRECTION 10. Single-Phase PFC Converter Using Switched Capacitor for High Voltage DC Applications 11. New Bridgeless Buck PFC Converter with Improved Input Current and Power Factor 12. A Comprehensive Design and Optimization of the DM EMI Filter in a Boost PFC Converter 13. Reducing the dc-Link Capacitance: A Bridgeless PFC Boost Rectifier That Reduces the Second-Order Power Ripple at the dc Output 14. A Comparative Study Between PI and Type-II Compensators for H-Bridge PFC Converter 15. Three-Port Bridgeless PFC-Based Quasi Single-Stage Single-Phase AC–DC Converters for Wide Voltage Range Applications 16. Single-Switch Single Power-Conversion PFC Converter Using Regenerative Snubber 17. A duty cycle generation scheme for the three-phase single-stage full-bridge PFC in balanced-grid 18. Design and Experimental Analysis of PFC Rectifiers for Domestic Induction Heating Applications 19. Current-Sensorless VSC-PFC Rectifier Control With Enhance Response to Dynamic and Sag Conditions Using a Single PI Loop 20. Robust Model-Predictive Control for a Compound Active-Clamp Three-Phase Soft-Switching PFC Converter Under Unbalanced Grid Condition 21. BLDC Motor Drive Based on Bridgeless Landsman PFC Converter With Single Sensor and Reduced Stress on Power Devices 22. Development of a ZVT-PWM Buck Cascaded Buck–Boost PFC Converter of 2 kW With the Widest Range of Input Voltage 23. New Modulated Carrier Controlled PFC Boost Converter 24. Single-Phase Hybrid Switched-Capacitor Voltage-Doubler SEPIC PFC Rectifiers 25. An AC–DC PFC Single-Stage Dual Inductor Current-Fed Push–Pull for HB-LED Lighting Applications 26. A Single-Phase PFC Rectifier With Wide Output Voltage and Low-Frequency Ripple Power Decoupling 27. Design and development of a LED Driver prototype with a Single-Stage PFC and low current harmonic distortion 28. Modulation and Control of a Three-Phase Phase-Modular Isolated Matrix-Type PFC Rectifier 29. A Family of Voltage-Multiplier Unidirectional Single-Phase Hybrid Boost PFC Rectifiers 30. Control Method for the Sheppard–Taylor PFC Rectifier to Reduce Capacitance Requirements 31. Investigation and Implementation of a Starting and Voltage Spike Suppression Scheme for Three-Phase Isolated Full-Bridge Boost PFC Converter BLDC MOTOR 32. Scheme based on buck-converter with three-phase H-bridge combinations for high-speed BLDC motors in aerospace applications 33. Position Control of a Rail Guided Mover Using a Low-Cost BLDC Motor 34. BLDC Motor Drive Based on Bridgeless Landsman PFC Converter With Single Sensor and Reduced Stress on Power Devices 35. Unipolar Modulation for a BLDC Motor With Simultaneously Switching of Two Transistors With Closed Loop Control for Four-Quadrant Operation 36. High-Precision Sensorless Drive for High-Speed BLDC Motors Based on the Virtual Third Harmonic Back-EMF 37. Commutation Torque Ripple Reduction in the BLDC Motor Using Modified SEPIC and Three-Level NPC Inverter 38. Adaptive Commutation Error Compensation Strategy Based on a Flux Linkage Function for Sensorless Brushless DC Motor Drives in a Wide Speed Range 39. A PLL-Based Novel Commutation Correction Strategy for a High-Speed Brushless DC Motor Sensorless Drive System WIND ENERGY CONVERSION SYSTEM 40. State Dependent Riccati Equation Based Rotor-Side Converter Control for Doubly Fed Wind Generator 41. Design and implementation of perturbation observer-based robust passivity-based control for VSC-MTDC systems considering offshore wind power integration 42. Hybrid ANFIS-GA-based control scheme for performance enhancement of a grid-connected wind generator 43. Sub-synchronous oscillation in PMSGs based wind farms caused by amplification effect of GSC controller and PLL to harmonics 44. Volt/Var Control for Power Grids With Connections of Large-Scale WindFarms: A Review 45. Model reference adaptive control of STATCOM for grid integration of windenergy systems 46. Reduction of torque ripple in a wound-rotor brushless doubly-fed machine by using the tooth notching 47. Simulation of a Fuzzy Control Applied to a Variable Speed Wind System Connected to the Electrical Network 48. Integrated optimal active and reactive power control scheme for grid connected permanent magnet synchronous generator wind turbines 49. Maximum power extraction improvement using sensorless controller based on adaptive perturb and observe algorithm for PMSG wind turbine application 50. Indirect boost matrix converter and low-voltage generator for direct drive wind turbines 51. Power electronic interface with de-coupled control for wind-driven PMSG feeding utility grid and DC load 52. Reliability Improvement for a High-Power IGBT in Wind Energy Applications 53. Improving power system stability in the presence of wind farms using STATCOM and predictive control strategy 54. Design of RBFN Controller Based Boost Type Vienna Rectifier for Grid-Tied Wind Energy Conversion System 55. Reducing Harmonic Instability and Resonance Problems in PMSG-Based Wind Farms 56. Distributed PLL-Based Control of Offshore Wind Turbines Connected With Diode-Rectifier-Based HVDC Systems 57. Design and Implementation of Active Power Control With Improved P& O Method for Wind-PV-Battery-Based Standalone Generation System PV(SOLAR) APPLICATIONS 58. Control and operation of a solar PV-battery-grid-tied system in fixed and variable power mode 59. Dual-function PV-ECS integrated to 3P4W distribution grid using 3M-PLL control for active power transfer and power quality improvement 60. Disturbance Observer Based Fuzzy Sliding Mode Control of PV Grid Connected Inverter 61. A Modified Single-Phase Transformerless Y-Source PV Grid-Connected Inverter 62. Design and implementation of single-phase inverter without transformer for PV applications 63. Real-time implementation of optimal operation of single-stage grid interfaced PV system under weak grid conditions 64. Efficient PV-grid system integration with PV-voltage-source converter reactive power support 65. Power management in PV-battery-hydro based standalone microgrid 66. Investigation on three-phase seven-level cascaded DC-link converter using carrier level shifted modulation schemes for solar PV system applications 67. Enhanced Bayesian Based MPPT Controller for PV Systems 68. Robust feedback-linearisation control of a boost converter feeding a grid-tied inverter for PV applications 69. MLP Control Algorithm for Adaptable Dual-Mode Single-Stage Solar PVSystem Tied to Three-Phase Voltage-Weak Distribution Grid 70. Efficiency optimisation of a microcontroller-based PV system employing a single sensor fuzzy-logic controller 71. Multifunctional Three-Phase Four-Leg PV-SVSI With Dynamic Capacity Distribution Method 72. Wind and PV Farms Integration within Power Systems Using Static and Dynamic Simulations 73. Performance evaluation of an asymmetrical reduced switched multi-level inverter for a grid-connected PV system 74. Flexible Grid Connection and Islanding of SPC-Based PV Power Converters 75. Carrier-overlapping PWM-based hybrid current control strategy applied to two-stage grid-connected PV inverter 76. PV Battery Charger Using an L3C Resonant Converter for Electric Vehicle Applications 77. Performance Enhancement of Single-Phase Grid-Connected PV System Under Partial Shading Using Cascaded Multilevel Converter 78. Single Phase Current Source Inverter With Multiloop Control for Transformerless Grid–PV Interface 79. A Model Predictive Power Control Approach for a Three-Phase Single-Stage Grid-Tied PV Module-Integrated Converter 80. Design and Implementation of Active Power Control With Improved P& O Method for Wind-PV-Battery-Based Standalone Generation System 81. A Buck and Boost Based Grid Connected PV Inverter Maximizing Power Yield From Two PV Arrays in Mismatched Environmental Conditions 82. MPPT Method for PV Systems Under Partially Shaded Conditions by Approximating I–V Curve 83. Framework of Maximum Power Extraction From Solar PV Panel Using Self Predictive Perturb and Observe Algorithm 84. Dynamic Power Management and Control of a PV PEM Fuel-Cell-Based Standalone ac/dc Microgrid Using Hybrid Energy Storage 85. Design and Performance Analysis of Three-Phase Solar PV Integrated UPQC 86. A Simple Open-Circuit Detection Strategy for a Single-Phase Grid-Connected PV Inverter Fed From Power Optimizers 87. Implementation of a Grid-Integrated PV-Battery System for Residential and Electrical Vehicle Applications 88. Irradiance-Adaptive PV Module Integrated Converter for High Efficiency and Power Quality in Standalone and DC Microgrid Applications 89. A Single-Phase Asymmetrical T-Type Five-Level Transformerless PV Inverter 90. Active Damping Scheme for Leakage Current Reduction in Transformerless Three-Phase Grid-Connected PV Inverters 91. A Grid-Connected Single-Phase Transformerless Inverter Controlling Two Solar PV Arrays Operating Under Different Atmospheric Conditions 92. Design and Control of Microgrid Fed by Renewable Energy Generating Sources 93. A New Soft-Switching Topology for Switched Inductor High Gain Boost 94. Modeling, Design, Control, and Implementation of a Modified Z-Source Integrated PV/Grid/EV DC Charger/Inverter 95. Design and Control of Autonomous Wind–Solar System With DFIG Feeding 3-Phase 4-Wire Loads 96. Three-Phase Quasi-Z-Source Inverter With Constant Common-Mode Voltage for Photovoltaic Application 97. A Z-Source-Derived Coupled-Inductor-Based High Voltage Gain Microinverter 98. Common-Ground-Type Transformerless Inverters for Single-Phase Solar Photovoltaic Systems SMART/ MICRO GRID 99. Control strategy of DFIG in hybrid micro-grid using sliding mode frequency controller and observer 100. Modular soft-switching converter in DC micro-grid system applications 101. Droop control strategy of the AC/DC hybrid micro-grid based on quasi-PR control 102. Design and Control of Autonomous Wind–Solar System With DFIG Feeding 3-Phase 4-Wire Loads 103. Analysis and Mitigation of Power Quality Issues in Distributed Generation Systems Using Custom Power Devices 104. Hybrid Control of High-Efficient Resonant Converter for Renewable Energy System 105. Micro-inverter based on single-ended primary-inductance converter topology with an active clamp power decoupling SPECIAL ELECTRICAL DRIVES 106. Over-current protection method for PMSM VSI with small DC-link capacitor 107. Sensorless PMSM Drive Based on Stator Feedforward Voltage Estimation Improved With MRAS Multiparameter Estimation 108. Asymmetric Space Vector Modulation for PMSM Sensorless Drives Based on Square-Wave Voltage-Injection Method 109. Cascaded Direct Torque Control of Unbalanced PMSM With Low Torque and Flux Ripples 110. PFC-based half-bridge dual-output converter-fed four-phase SRM drive 111. Torque-ripple reduction of SRM using optimised voltage vector in DTC 112. Power Factor Correction in Cuk–SEPIC-Based Dual-Output-Converter-Fed SRM Drive 113. A Simple Strategy for Parameters Identification of SRM Direct Instantaneous Torque Control 114. A Switched Reluctance Motor Drive Based on Quasi Z-Source Converter With Voltage Regulation and Power Factor Correction Z SOURCE INVERTER/ CONVERTER 115. Model-Based Current Control for Single-Phase Grid-Tied Quasi-Z-Source Inverters With Virtual Time Constant 116. A Discrete-Time Average Model-Based Predictive Control for a Quasi-Z-Source Inverter 117. Enhanced-Boost Quasi-Z-Source Inverter With an Active Switched Z-Network 118. A Novel Dual Switching Frequency Modulation for Z-Source and Quasi-ZSource Inverters 119. Single-Phase Modified Quasi-Z-Source Cascaded Hybrid Five-Level Inverter 120. Three-Phase Quasi-Z-Source Inverter With Constant Common-Mode Voltage for Photovoltaic Application 121. A Variable Switching Point Predictive Current Control Strategy for Quasi-ZSource Inverters 122. A Simplified Time-Domain Modulation Scheme-Based Maximum Boost Control for Three-Phase Quasi-Z Source Inverters 123. Experimental and Theoretical Analysis of Trans-Z-Source Inverters With Leakage Inductance Effects 124. Model Predictive Control of Dual-Mode Operations Z-Source Inverter: Islanded and Grid-Connected 125. Switching Loss Reduction in the Three-Phase Quasi-Z-Source Inverters Utilizing Modified Space Vector Modulation Strategies 126. New Space Vector Modulation Strategies to Reduce Inductor Current Ripple of ZSource Inverter 127. An Improved PWM Strategy for Z-Source Inverter With Maximum Boost Capability and Minimum Switching Frequency 128. Single-phase high-voltage gain switched LC Z-source inverters 129. A Space Vector Modulation Scheme of the Quasi-Z-Source Three-Level TType Inverter for Common-Mode Voltage Reduction 130. Modulated Model Predictive Control for a Z-Source-Based Permanent Magnet Synchronous Motor Drive System 131. Optimum Boost Control of Quasi-Z Source Indirect Matrix Converter MULTILEVEL INVERTER 132. A Single-Phase Single-Source 7-Level Inverter With Triple Voltage Boosting Gain 133. Modified hybrid modulation strategy with power balance control for H-bridge hybrid cascaded seven-level inverter 134. 17-level inverter with low component count for open-end induction motor drives 135. Performance evaluation of an asymmetrical reduced switched multi-level inverter for a grid-connected PV system 136. An Improved Three-Phase Five-Level Inverter Topology With Reduced Number of Switching Power Devices 137. A Hybrid PWM Strategy for Three-Level Inverter With Unbalanced DC Links 138. Comparative study between different optimisation techniques for finding precise switching angle for SHE-PWM of three-phase seven-levelcascaded Hbridge inverter 139. Verification of a Low Component Nine-Level Cascaded-Transformer Multilevel Inverter in Grid-Tied Mode 140. Single-phase multilevel inverter topologies with self-voltage balancing capabilities 141. A Switched-Capacitor-Based Multilevel Inverter Topology With Reduced Components 142. Modeling, Control and Experimental Investigation of a Cascaded Hybrid Modular Inverter for Grid Interface Application POWER SYSTEM 143. Model reference adaptive control of STATCOM for grid integration of wind energy systems 144. A New Fault-Tolerant Strategy for a Cascaded H-Bridge Based STATCOM 145. Control of D-STATCOM During Unbalanced Grid Faults Based on DC Voltage Oscillations and Peak Current Limitations 146. Flexible Third Harmonic Voltage Control of Low Capacitance Cascaded HBridge STATCOM 147. DC Capacitor Voltage Balancing Control for Delta-Connected Cascaded HBridge STATCOM Considering Unbalanced Grid and Load Conditions 148. Voltage Limit Control of Modular Multilevel Converter Based Unified Power Flow Controller Under Unbalanced Grid Conditions 149. Design and Performance Analysis of Three-Phase Solar PV Integrated UPQC 150. A Transformer-Less Unified Power Quality Conditioner with Fast Dynamic Control 151. Study on the design and switching dynamics of hysteresis current controlled fourleg voltage source inverter for load compensation 152. Design and Performance Analysis of Three-Phase Solar PV Integrated UPQC 153. Delay Effects on Consensus-based Distributed Economic Dispatch Algorithm in Micro grid 154. Allocation of Frequency Control Reserves and its Impact on Wear and Tear on a Hydropower Fleet 155. Automatic Generation Control Using an Energy Storage System in a Wind Park 156. Sensitivity based Thevenin Index with Systematic Inclusion of Reactive Power Limits 157. Hierarchical Voltage Control of Weak Sub transmission Networks with High Penetration of Wind Power 158. Forecasting functional time series with a new Hilbert Ian ARMAX model: Application to electricity price forecasting 159. Multistage Coordinated Planning of Active Distribution Networks 160. Grid-Synchronization Stability Improvement of Large Scale Wind Farm During Severe Grid Fault 161. Decentralized Stochastic Control of Distributed Energy Resources 162. Roubest dispatch of high wind power penetrated power systems against transient instability 163. Optimal Operation Control for Multiple BESSs of a Large-Scale Customer underTime-Based Pricing 164. Value of Flexible Resources, Virtual Bidding, and Self-Scheduling in Two- Settlement Electricity Markets With Wind Generation – Part I 165. Optimal Reactive Power Flow of Interconnected Power System Based on Static Equivalent Method Using Border PMU Measurements 166. A Dynamic Regrouping Based Dynamic Programming Approach for Unit Commitment of the Transmission-constrained Multi-site Combined Heat and Power System 167. Value of Flexible Resources, Virtual Bidding, and Self-Scheduling in Two- Settlement Electricity Markets With Wind Generation – Part I 168. Optimal Joint Energy and Secondary Regulation Reserve Hourly Scheduling of Variable Speed Pumped Storage Hydropower Plants 169. Strategic Offering and Equilibrium in Coupled Gas and Electricity Markets 170. Robust Ensemble Data-Analytics for Incomplete PMU Measurements-based Power System Stability Assessment 171. Distributionally Robust Contingency-Constrained Unit Commitment 172. Adaptive Online Monitoring of Voltage Stability Margin via Local Regression 173. Robust Stability Analysis of DC Microgrids with Constant Power Loads 174. Information Geometry Approach to Verification of Dynamic Models in Power Systems 175. Measurement-Based Dynamic Load Modeling Using the Vector Fitting Technique 176. A Hierarchical Scheme for Utilizing Plug-in Electric Vehicle Power to Hedge against Wind-induced Unit Ramp Cycling Operations 177. Capacity Withholding Constrained by Operational Limits of Generation under Financial Virtual Divestiture in a Day-Ahead Market 178. Probabilistic Forecast for Multiple Wind Farms Based on Regular Vine Copulas 179. Fast Near-Optimal Heuristic for the Short-Term Hydro-Generation Planning Problem 180. Novel Adaptive Multi-Clustering Algorithm-based Optimal ESS Sizing in Ship Power System Considering Uncertainty 181. A New Pseudo Load Profile Determination Approach in Low Voltage Distribution Networks 182. Fully Decentralized Optimal Power Flow of Multi-area Interconnected Power Systems 183. An Extended IEEE 118-bus Test System with High Renewable Penetration 184. Fully Decentralized Optimal Power Flow of Multi-area Interconnected Power Systems Based on Distributed Interior Point Method 185. An Extended IEEE 118-bus Test System with High Renewable Penetration 186. Surrogate Modeling Based Multi-objective Dynamic VAR Planning Considering Short-term Voltage Stability and Transient Stability 187. A Chain Method for Preconditioned Iterative Linear Solvers for Power System Matrices 188. A State Transition MIP Formulation for the Unit Commitment Problem 189. Security-Constrained Optimal Scheduling of Transmission Outages with Load Curtailment 190. An Original Smart-Grids Test Bed to Teach Feeder Automation Functions in a Distribution Grid 191. Derivative-free Kalman filtering based Approaches to Dynamic State Estimation for Power Systems with Unknown Inputs 192. A Novel Multi-Step Short-Term Wind Power Prediction Framework Based on Chaotic Time Series Analysis and Singular Spectrum Analysis 193. Multistage Stochastic Investment Planning with Multi scale Representation of Uncertainties and Decisions Multistage Stochastic Investment Planning with Multi scale Representation of Uncertainties and Decisions
  • 2018-12-17T06:15:15

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Introduction to the Neo4j Graph Database: Neo4j is a graph database. A graph database, instead of having rows and columns has nodes edges and properties. It is more suitable for certain big data and analytics applications than row and column databases or free-form JSON document databases for many use cases. A graph database is used to represent relationships. The most common example of that is the Facebook Friend relationship as well as the Like relationship. You can see some of that in the graphic below from Neo4j. The circles are nodes. The lines, called edges, indicate relationships. And the any comments inside the circles are properties of that node. graphic source: Neo4j We write about Neo4j here because it has the largest market share. There are other players in this market. And according to Neo4J, Apache Spark 3.0 will add the Neo4j Cypher Query Language to allow and make easier “property graphs based on DataFrames to Spark.” Spark already supports GraphX, which is an extension of the RDD to support Graphs. We will discuss that in another blog post. In another post we will also discuss graph algorithms. The most famous of those is the Google Page Rank Index. Algorithms are the way to navigate the nodes and edges. Costs? Is Neo4J free? That’s rather complicated. The Community Edition is. So is the desktop version, suitable for learning. The Enterprise edition is not. That is consistent with other opensource products. When I asked Neo4J for a license to work with their product for an extended period of time they recommended that I use the desktop version. The Enterprise version has a 30-day trial period. There are other alternatives in the market. The key would be to pick one that has enough users so that they do not go out of business. Which one should you use? You will have to do research to figure out that. Install Neo4J You can use the Desktop or tar version. Here I am using the tar version, on Mac. Just download it and then start up the shell as shown below. You will need a Java JDK, then. export JAVA_HOME='/Library/Java/JavaVirtualMachines/jdk1.8.0_201.jdk/Contents/Home' Start the server and set the initial password then open cypher-shell. The default URL is a rather strange looking bolt://localhost:7687. cd neo4j bin folder neo4j-admin set-initial-password xxxxxx ./cypher-shell -a bolt://localhost:7687 -u neo4j -p xxxxx Create a Single Node Thing of a node as a circle or an object, in the picture above. It can optionally have properties or a label or both. Below is the simplest way to create a node. (Note that you have to end each command cypher command with a semicolon.) This node has nothing attached to it, meaning no properties or labels. It only has a variable, n, which you can use in other operations. What all of this means will become clear in subsequent steps. create (n); 0 rows available after 13 ms, consumed after another 0 ms Added 1 nodes Cyper SQL is what Neo4j calls their command language. When you run a command it does not return any value unless you add the return keyword. In this example, as before, we create a node with nothing in it. Neo4j creates a variable, which we have called x, to represent that object which we can then return using the return statement, so that we can see it or use it in subsequent operations. create(x) return x ; +----+ | x | +----+ | () | +----+ Create Multiple Nodes You can create more than one node at a time: create (o), (p); 0 rows available after 13 ms, consumed after another 0 ms Added 2 nodes Create a Node with a Label A label is like the node name, or think of it as a type. Below is node with label Student. Labels have colons (:) in front of them. As before, s is just a variable. It’s scope is the life of the shell. Close the shell and the variable goes away. create (s:Student); 0 rows available after 16 ms, consumed after another 0 ms Added 1 nodes, Added 1 labels You can create nodes with more than one label: create (s:Student:Biology) return s; In addition to a label, a node can have properties, given as JSON: CREATE (x:Employees { name: 'Walker', title: 'Tech Writer' }) CREATE (y:Employees { name: 'Stephen', title: 'Manager' }) return x, y; Create a Relationship The syntax for creating a relation is strange looking. Below, this example relationship is called BOSS. The r in front of it is just a variable. And the arrow shows the direction. You can use ->, <-, or – to indicate direction. Since it is complicated to remember direction you might want to use the – (dash), meaning both directions, in really complex models if direction does not matter. That’s a design decision. Below is how to create a relationship. We say in this example that Stephen is the BOSS of Walker. The MATCH statement is like the SQL select. It gives the selection criteria which shows which two elements should be connected to each other. And here we use x and y as temporary variables. As you can see they let you use shorthand notation in subsequent statements, using the variable name instead of the :label. MATCH (x:Employees), (y:Employees) WHERE y.name = "Stephen" AND x.name = "Walker" CREATE (x)-[r:BOSS]->(y) RETURN type(r); Now, we carry the logic in the opposite direction. If Stephen is Walker’s boss then Walker works for Stephen. So we can make Walker EMPLOYEEOF Stephen. We can use any descriptive name, like EMPLOYEEOF. MATCH (x:Employees), (y:Employees) WHERE y.name = "Stephen" AND x.name = "Walker" CREATE (y)-[r:EMPLOYEEOF]->(x) RETURN type(r); Create Multiple Relationships Here we give another example Here we have a model of drugs, what they are used for, and who makes them. Create some data and then create the relationships. Pay attention to the output as if you make a mistake and the MATCH statement finds no data then the relationship will have no data too. In other words it should say Create n nodes or Created n relationships, where n > 0. CREATE (x:Cancers { name: 'skin'}); CREATE (x:Drugs { name: 'interferon'}); CREATE (x:Pharmacy { name: 'Acme Drugs'}); MATCH (a:Cancers), (b:Drugs) WHERE a.name = 'skin' AND b.name = 'interferon' CREATE (a)-[rp:PROTOCOL]->(b), (b)-[rt:TREATS]->(a); MATCH (a:Pharmacy), (b:Drugs) WHERE a.name = 'Acme Drugs' AND b.name = 'interferon' CREATE (a)-[r:MAKES]->(b); Here we make relationships in both directions, making two relationships at once. Notice that the b and a swap positions to show which belongs to which. We could also have pointed the arrow in the opposite direction. MATCH (a:Cancers), (b:Drugs) WHERE a.name = 'skin' AND b.name = 'interferon' CREATE (a)-[rp:PROTOCOL]->(b), (b)-[rt:TREATS]->(a); Querying Here we illustrate further how MATCH works. First we list all nodes with label Pharmacy. MATCH (p:Pharmacy) return p; +----------------------------------+ | p | +----------------------------------+ | (:Pharmacy {name: "Acme Drugs"}) | +----------------------------------+ Now we show all relationships of Pharmacies that make Drugs. MATCH (p:Pharmacy)-[r:MAKES]->(b:Drugs) return p, b; +------------------------------------------------------------------+ | p | b | +------------------------------------------------------------------+ | (:Pharmacy {name: "Acme Drugs"}) | (:Drugs {name: "interferon"}) | +------------------------------------------------------------------+
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