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Example 1: ArchiMate relationship in PlantUML code to demonstrate 15 relationship types

Following section presents 15 types of relationships in ArchiMate and PlantUML to generate the diagram. Since this code is generated by GEN-AI it may require precision on aspects other than PlantUML syntax: Diagram Plant UML Code: @startuml '!includeurl https://raw.githubusercontent.com/plantuml-stdlib/Archimate-PlantUML/master/Archimate.puml ' Another way of including Archimate Library (above is commented for following) !include <archimate/Archimate> !theme archimate-standard from https://raw.githubusercontent.com/plantuml-stdlib/Archimate-PlantUML/master/themes title ArchiMate Relationships Overview <style> element{ HorizontalAlignment: left; MinimumWidth : 180; Padding: 25; } </style> left to right direction rectangle Other { Business_Role(Role_SeniorManager, "Senior Manager") Business_Role(Role_Manager, "Manager") } rectangle Dynamic { Business_Event(Event_CustomerReques...

Examples 7: ArchiMate flow relationship between elements in layers

Diagram Code @startuml !include < archimate / Archimate > < style > element { HorizontalAlignment : left ; MinimumWidth : 180 ; Padding : 20 ; } note { BackgroundColor : #FFFFCC ; RoundCorner : 5 ; MaximumWidth : 250 ; } </ style > title "ArchiMate 3.2 Valid Flow Relationships" left to right direction ' Business Layer Flow Relationships rectangle "Business Layer Flows" { Business_Process ( bp1 , "Order Process" ) Business_Process ( bp2 , "Payment Process" ) Rel_Flow ( bp1 , bp2 , "Order data" ) note on link Flow between Business Processes end note Business_Function ( bf1 , "Sales Function" ) Business_Function ( bf2 , "Delivery Function" ) Rel_Flow ( bf1 , bf2 , "Sales information" ) note on link ...

SmartSimpleTextGenerator: A Smarter Way to Generate Text

Introduction In the world of text generation, simple n-gram models can produce decent results, but they often lack context-awareness and coherence. To address these limitations, I have developed SmartSimpleTextGenerator , an improved version of my previous project, ImprovedSimpleTextGenerator . This new version enhances the text generation process by integrating Part-of-Speech (POS) tagging , n-gram models , and a back-off strategy , making the generated text more meaningful and contextually relevant. Key Features of SmartSimpleTextGenerator ✅ N-Gram Model with POS Tagging – Uses trigrams (default n=3) and applies POS tagging for better word prediction. ✅ Back-off Strategy – If a trigram sequence is unavailable, it falls back to bigrams and unigrams to ensure smooth text generation. ✅ Sentence Tokenization & Structure Preservation – Tokenizes input text properly while maintaining sentence integrity. ✅ Randomized Word Selection – Generates diverse outputs rather ...

Jageshwar Tripathi

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