Ever-changing market conditions and a rapidly changing IT landscape call for fast and cheap ways to meet software demands. In order to tackle these problems, low-code development platforms (LCDPs) have emerged. These ...Ever-changing market conditions and a rapidly changing IT landscape call for fast and cheap ways to meet software demands. In order to tackle these problems, low-code development platforms (LCDPs) have emerged. These platforms are designed with the idea to limit recurring traditional hand-coding and programming. This article provides a theoretical overview of low-code solutions. The advantages and disadvantages of using LCDP in the creation of automated systems are considered. In conclusion, a conclusion is formulated about the prospects of using low-code technology.展开更多
This paper aims to explore a simpler and more user-friendly way of generating software based on model-driven development.Previous studies have attempted to generate code from domain models,hoping to reduce coding time...This paper aims to explore a simpler and more user-friendly way of generating software based on model-driven development.Previous studies have attempted to generate code from domain models,hoping to reduce coding time by increasing modeling time.However,as code tools become more advanced,it is challenging to improve efficiency because models are abstract while implementations are concrete.This paper proposes a novel approach that integrates ChatGPT as a plug-in into the whole R&D process and combines it with our code generation tool to enhance R&D efficiency.We have developed some demos to demonstrate the effectiveness of our approach.According to our evaluation,our approach can save more than 90%of the work in implementing the code generation tool,leaving only about 10%of the work for code review,code improvement,and unit testing.展开更多
信道编码参数的盲识别作为非合作通信和自适应调制编码(Adaptive Modulation and Coding,AMC)系统中的一项重要技术,近些年受到了更多关注.在第五代移动通信技术(5th Generation mobile networks,5G)中,其采用了低密度奇偶检验(Low-Dens...信道编码参数的盲识别作为非合作通信和自适应调制编码(Adaptive Modulation and Coding,AMC)系统中的一项重要技术,近些年受到了更多关注.在第五代移动通信技术(5th Generation mobile networks,5G)中,其采用了低密度奇偶检验(Low-Density Parity-Check,LDPC)码作为数据信道的前向纠错码,但其使用了删余和填充导致传统的盲识别技术不再适用.本文提出了一种新的方案,借鉴置信传播(Belief Propagation,BP)译码迭代思路来进行盲识别.该方案基于传统平均对数似然比(Log-Likelihood Ratio,LLR)算法,进一步采用BP译码的思想对删余和填充比特进行迭代,以解决传统算法无法识别这部分比特的问题.仿真结果表明:与现有的相关算法相比,本文算法具有更好的性能.展开更多
文摘Ever-changing market conditions and a rapidly changing IT landscape call for fast and cheap ways to meet software demands. In order to tackle these problems, low-code development platforms (LCDPs) have emerged. These platforms are designed with the idea to limit recurring traditional hand-coding and programming. This article provides a theoretical overview of low-code solutions. The advantages and disadvantages of using LCDP in the creation of automated systems are considered. In conclusion, a conclusion is formulated about the prospects of using low-code technology.
基金fully supported by the Natural Science Foundation of Hubei Province in China(Grant No.2021CFB482)Basic Research Science and Technology Project of Xiangyang(High-tech Domain 2022ABH007013)Hubei Superior and Distinctive Discipline Group of“New Energy Vehicle and Smart Transportation”。
文摘This paper aims to explore a simpler and more user-friendly way of generating software based on model-driven development.Previous studies have attempted to generate code from domain models,hoping to reduce coding time by increasing modeling time.However,as code tools become more advanced,it is challenging to improve efficiency because models are abstract while implementations are concrete.This paper proposes a novel approach that integrates ChatGPT as a plug-in into the whole R&D process and combines it with our code generation tool to enhance R&D efficiency.We have developed some demos to demonstrate the effectiveness of our approach.According to our evaluation,our approach can save more than 90%of the work in implementing the code generation tool,leaving only about 10%of the work for code review,code improvement,and unit testing.
文摘信道编码参数的盲识别作为非合作通信和自适应调制编码(Adaptive Modulation and Coding,AMC)系统中的一项重要技术,近些年受到了更多关注.在第五代移动通信技术(5th Generation mobile networks,5G)中,其采用了低密度奇偶检验(Low-Density Parity-Check,LDPC)码作为数据信道的前向纠错码,但其使用了删余和填充导致传统的盲识别技术不再适用.本文提出了一种新的方案,借鉴置信传播(Belief Propagation,BP)译码迭代思路来进行盲识别.该方案基于传统平均对数似然比(Log-Likelihood Ratio,LLR)算法,进一步采用BP译码的思想对删余和填充比特进行迭代,以解决传统算法无法识别这部分比特的问题.仿真结果表明:与现有的相关算法相比,本文算法具有更好的性能.
