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Procedure for Literature Review Writing | Chat with PDF | AI Tool for Research

Procedure for Literature Review Writing | Chat with PDF | AI Tool for Research

Introduction to LMS Solution Research Support

Upon accessing LMS Solution Research Support, you will be greeted with a dashboard offering various AI-powered templates. These templates include:

  • Summarizer

  • Grammar Corrector

  • Paraphrasing

  • Literature Review

  • Explain the Table

  • Generate MATLAB Code

  • Chatbot

  • Blog Article

  • Detailed Literature Review

  • Chat with Paper

  • Chat with PDF

For literature review purposes, we have four different templates, but today, we'll focus on the "Chat with PDF" template to analyze a reference paper.

Using the Chat with PDF Dashboard

  1. Access the Dashboard: Click on "Chat with PDF" to open the dashboard where you can upload your reference paper.

  2. Upload Your Reference Paper: Browse and upload a relevant paper from your desktop. For example, let's upload a paper titled "Novel Grasshopper Optimization Based MPPT of PV System for Complex Partial Shading Condition."

Key Features of Chat with PDF

Once the paper is uploaded, you can utilize several pre-formulated questions to analyze the reference paper. These questions help you understand the paper better. Some key questions include:

  • Explain the abstract of this paper in two lines.

  • What are the contributions of this paper?

  • Find related papers.

  • Explain the practical implications of this paper.

  • Summarize the introduction of this paper.

  • Literature survey of this paper.

  • Methods used in this paper.

  • What data has been used in this paper?

  • Results of the paper.

  • Conclusions from the paper.

You can also input your own questions to get specific insights.

Exploring Pre-Formulated Questions

Explain the Abstract in Two Lines

Copy the question "Explain the abstract of this paper in two lines" and paste it into the chatbox. The AI will generate a concise abstract. For instance: "The abstract of this paper discusses the implementation of a novel grasshopper optimization technique for maximum PowerPoint tracking of PV systems under partial shading conditions. The technique is found to be highly robust and efficient, with a tracking efficiency of up to 99.5% and faster tracking speed."

Contribution of the Paper

Next, ask "What are the contributions of this paper?" The AI provides a summary of the contributions, such as:

  • Introduction of a novel grasshopper optimization-based MPPT algorithm.

  • Validation of the technique's effectiveness.

  • Identification of the characteristics of the optimization method.

Summarize the Introduction

Request a summary of the introduction. The AI will generate a detailed overview, highlighting key points: "The introduction discusses the increasing research on alternative energy resources, particularly solar energy, due to the depletion of fossil fuels and environmental concerns. It emphasizes the importance of MPPT in enhancing power generation in PV systems and mentions the challenges posed by partial shading conditions."

Literature Survey

Ask for the "literature survey of this paper" to get a comprehensive review of related works. The AI might provide: "This paper surveys various MPPT techniques for PV systems under complex partial shading conditions. It compares the novel grasshopper optimization technique with other established methods, demonstrating its robustness and efficiency in improving the output of PV systems."

Asking Custom Questions

You can also ask custom questions like "Why is grasshopper optimization better?" The AI will respond with detailed points on the advantages of the grasshopper optimization technique, such as:

  • 100% efficiency in tracking the global maximum.

  • Fewer iterations required.

  • Reduced oscillations and faster tracking speed.


Using the "Chat with PDF" template on LMS Solution Research Support can significantly improve your literature review process by providing detailed and insightful analyses of your reference papers. This AI tool simplifies the research paper writing process, making it more efficient and effective.

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