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Academic Writing

https://mp.weixin.qq.com/s/RjmFeLIGjvVABzAuLP2EzQ
writingacademicresearch
On this page
  • Abstract
  • Introduction
  • Challenges
  • Current state
  • Contribution
  • Objectives
  • Methods
  • Architectures
  • Related Work
  • Results
  • Conclusion
  • Misc

Whether it's a novel, a thesis, or a legal brief, the only way to make progress is to:

  • Break your work into small chunks.
  • Focus on one at a time.

Abstract

  • The feasibility of XXX has been successfully evaluated in the scope of XXX project, which aims at XXX.

Introduction

  • Our goal is to explore the option of developing a system that facilitates anonymity and trustworthiness. To achieve this, the following objectives are outlined
  • Gaming and simulation is taking center stage (gaining prominence)
  • An emphasis on domain awareness and collaboration can help create additional traction across industries.
  • Greater awareness will aid in the evolution of these key technologies.
  • Research shows that pairing intuition with analytical thinking helps you make better decisions.
  • Research reports that provide granular insights are a crucial tool.
  • SDIs were created to streamline people, process, technologies, and deliver a wide array of data.
  • With new challenges being posed by 21st century technologies and data availability, questions about how SDIs can be further optimized to meet modern needs are emerging.
  • Now more than ever this data also needs to be delivered safely and securely.
  • The OGC Modernizing SDI Concept Development Study aims to overcome these challenges to identify technology gaps and define the future of SDIs.
  • Unauthorized resource access represents a typical security threat in the Internet of Things (IoT), while distributed ledger technologies (e.g., blockchain and IOTA) hold great promise to address this threat.

Challenges

  • One of the technical challenges of having billions of devices deployed worldwide is the ability to manage them
  • There are a wide variety of different systems tat implement different standards for interaction. As a result, there is an interoperability challenge with the system.
  • With the massive growth of data, new data information security problems have been emerging
  • This requires multiple types of data that can exist in many different forms and use a diverse set of standards.
  • This vital information as a result becomes difficult and costly to access and decipher(interpret/understand).
  • It’s often difficult to discern real growth potential from gossip-fueled hype.

Current state

  • Current IoT, access management technologies, are based on centralized models which introduce a new variety of technical limitations to manage them globally.
  • Centralized access control systems lack the ability to deal with increased load efficiently
  • Blockchain technology has high potential to solve privacy protection problems of UAV big data

Contribution

  • We have analyzed a collection of documents and generated a survey regarding the use of blockchain within information systems.
  • The survey contains a brief reporting on several different study.
  • Characterizing the state of development of sth
  • Informing IT architectural practices and standards to enable analytics specifically of residential energy use and efficiency.
  • The development of the application was able to incorporate(include/combine) Web 3.0 technologies.

Objectives

  • prove the architecture's feasibility rather than security.
  • The presented work aims to provide a guideline for future research on the privacy protection of UAV data
  • The proposed solution can give insights into providing a good practical idea for the research of blockchain technology in UAV data protection.
  • By providing a gateway to the Ethereum network, we hope to facilitate(push/contribute) the growth of a decentralized future.
  • The objective of this report is twofold.
  • The results of the implementation will be analyzed through the lens(perspective) of security and practicality.

Methods

  • Top-down techniques are used to establish the structures and to define the core concepts.
  • Bottom-up techniques fill in the details using different data models, based on standards and specifications for existing deployed sensor systems.
  • Based on the stated research objectives, we designed a blockchain-driven architecture that comprises the following major segments.
  • The generic outlook of the conceptualize architecture is presented in Figure.
  • It is expected that this architecture will facilitate transparency of the data while protecting users' privacy.
  • The various primary layers are described as follows
  • The data that is stored in the cache is not stored in the raw form. Instead, it is encrypted using an asymmetric encryption technique.
  • The architecture is backed by a proof of concept implementation and evaluated in realistic IoT scenarios
  • The following discourse(serious discussion) contains out analysis and understanding of blockchain and its implications as well as impacts on information system altogether.
  • The below graph illustrates the efficiency improvement we'll make to the sample batch processing task.

Architectures

  • At the module level, Qlib is a platform that consists of the above components.
  • The components are designed as loose-coupled modules, and each component could be used stand-alone.
  • Infrastructure layer provides underlying support for Quant research.
  • Workflow layer covers the whole workflow of quantitative investment.
  • Interface layer tries to present a user-friendly interface for the underlying system.
  • The modules with hand-drawn style are under development and will be released in the future. The modules with dashed borders are highly user-customizable and extendible.
  • This section explores the extent of those technologies in IoT by looking at previous research
  • The survey described several papers that manage data collected by IoT devices. As an example
  • A conducted a systematic literature review on the blockchain
  • A described a system to verify

Results

  • the solution scales well `due to the fact that

Conclusion

  • the solution can adapt to various IoT scenarios confirming that blockchain technology can embrace IoT technology at its fullest

Misc

  • Analyzing 4D data is highly complex as it requires both temporal and spatial correlations `to be considered.
  • Assessing both the temporal and spatial dimensions of data `adds significant complexity to the data analysis process.
  • At a time of rising climate change impacts, there is a vital and growing need to prepare for, respond to, and recover from natural disasters.
  • But there is a critical communication gap between authorities and citizens.
  • He'd rather read ten papers superficially(not deeply/surface) than one paper in-depth to get as much inspiration as possible.
  • The differences of it from the first two can be perceived(understand) in three basic aspects
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