Special issue on “intelligent computing and communication in concurrent engineering”

K. Vijayakumar, V. Rajinikanth
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Abstract

In a generation of the rapid evolution of technological enhancements, intelligent computing helps to produce solutions for every elementary problem with the help of computing technology. It is the process of developing the algorithm for a program to provide a solution for any task. It helps to break down any task into specific functions to get better solutions. Computing intelligence must be able to transform the data obtained into a function that produces a beneficial solution. Global Positioning Systems (GPS), mobile phones, Email, the internet, and the development of various mobile apps are some examples of constant improvement in computing. Computing has made regular work simple and has proved to be suitable and user-friendly without any adverse effects. Intelligent Computing has proved to be an area of constant research leading to the discovery of efficient ideas and implementation. Computing when coupled with intelligent communication systems helps in the effective transfer of information in a network that aids to generate and implement new services efficiently and economically. Enhanced next-generation algorithms for communication systems can be utilized to make accomplishments easy. It provides a comprehensive vision that opens up numerous industrial, management, and research opportunities. The exceptions to convey, categorize and utilize the data created and transmitted by connected objects are enormous. Concurrent engineering is a process that can use intelligent computing in the design and development of various engineering products and services. Concurrent Engineering is acknowledged to an extent of 52% in well-established companies, 45% in mid-sized companies, and 39% in small companies. Intelligent Computing and Communication in Concurrent Engineering helps to reduce the time taken to complete a task also reduces the time taken for product development. It helps to increase productivity, faster design process and also decreases the cost of production. It encourages multidisciplinary collaboration amongst concurrent teams. However, there are some challenges faced in concurrent design that includes skill development, insufficient knowledge, and support from management, early design reviews, efficient communication between team members, software compatibility, and lack of IT tools. New Intelligent Computing and Communication in Concurrent Engineering strategies can be analyzed and developed to overcome drawbacks. This special issue aims to collect high quality research works related to intelligent computing and communication associated with concurrent engineering. We request original works that have not been published nor under consideration in other publication venues. Topics of interest for this special issue include;
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“并行工程中的智能计算与通信”特刊
在技术增强的快速发展的一代,智能计算有助于在计算技术的帮助下为每个基本问题提供解决方案。它是为程序开发算法的过程,以便为任何任务提供解决方案。它有助于将任何任务分解为特定的功能,以获得更好的解决方案。计算智能必须能够将获得的数据转换为产生有益解决方案的函数。全球定位系统(GPS)、移动电话、电子邮件、互联网和各种移动应用程序的发展都是计算不断改进的一些例子。计算机使日常工作变得简单,并被证明是合适的和用户友好的,没有任何不利影响。智能计算已被证明是一个不断研究的领域,导致发现有效的想法和实现。与智能通信系统相结合的计算有助于在网络中有效地传递信息,从而有助于高效、经济地产生和实施新服务。用于通信系统的增强型下一代算法可以用来使完成任务变得容易。它提供了一个全面的愿景,开辟了众多的工业,管理和研究机会。传输、分类和利用由连接对象创建和传输的数据的例外是巨大的。并行工程是在各种工程产品和服务的设计和开发中使用智能计算的过程。在成熟的公司中,并行工程的认知度为52%,中型公司为45%,小型公司为39%。并行工程中的智能计算和通信有助于减少完成任务所需的时间,也减少了产品开发所需的时间。它有助于提高生产力,加快设计过程,也降低了生产成本。它鼓励并行团队之间的多学科协作。然而,在并发设计中存在一些挑战,包括技能开发、知识不足、来自管理层的支持、早期设计评审、团队成员之间的有效沟通、软件兼容性以及缺乏IT工具。可以分析和开发新的并行工程中的智能计算和通信策略来克服缺点。本特刊旨在收集与并行工程相关的智能计算和通信方面的高质量研究成果。我们要求原创作品尚未发表或正在考虑在其他出版场所。本期特刊感兴趣的主题包括:
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