【标题】EDITORIAL: Straight From The Show Reports More Artificial Intelligence
【参考中译】社论：直接从节目中报道更多人工智能
【类型】 期刊
【作者】 Mike McNulty
【摘要】 Due to some scheduling adjustments and coincidences, we have three "Straight From The Show" report articles in this issue. The first two, one on Fastener Fair Global 2023 and the other on Fastener Taiwan 2023, are fairly robust and contain good content from both the organizers and several participants. The third one, on Fastener Fair USA 2023, was prepared fresh on the heels of the fair's closing date, so it is just a start and will be continued in the August/September 2023 issue of Fastener Technology International (FTI). Turn to pages 80, 104 and 96, respectively, to see the details on these exhibitions, all which seemed to be better, in more than one way, when compared to their last stagings.
【参考中译】 由于一些时间安排的调整和巧合，我们有三个“直接从显示”的报告文章在这个问题上。前两个，一个是关于Fastener Fair Global 2023，另一个是关于Fastener Taiwan 2023，都相当强大，包含了组织者和几个参与者的优秀内容。第三个是在2023年美国紧固件博览会上，在展会结束后新鲜准备，所以这只是一个开始，将在2023年8月/9月的国际紧固件技术（FTI）中继续。请分别翻到第80页、第104页和第96页，查看这些展览的详细信息，与上一次相比，所有这些展览似乎都在不止一个方面有所改善。
【来源】 Fastener Technology International 2023, vol.46, no.3
【入库时间】 2023/10/31
【标题】A NOVEL APPROACH FOR E-GOVERNMENT SERVICES WITH ARTIFICIAL INTELLIGENCE USING CNN
【参考中译】基于CNN的人工智能电子政务服务新方法
【关键词】 E-Government services; AI; CNN; Web services
【参考中译】 电子政务服务；人工智能；有线电视新闻网；网络服务
【作者】 B. RAJA SRINIVASA REDDY; KONDA SREENU; MIRIYALA RAGHAVA NAIDU
【摘要】 Artificial Intelligence (AI) Is a domain that works on various complex applications, such as E-government services. In order to provide government services to the people, an online AI-based Deep Learning (DL) model has been developed to check the availability of government schemes. However, several E-government services are not available to the citizens based on their usage. Many challenges have been identified while using E-Government services. This paper introduces the DL model, Convolutional Neural Networks (CNN), to solve the issues In E-Government services. The system focuses on maintaining E-government data resources, and CNN is primarily used to automate E-Government services. Finally, CNN has developed an innovative E-Government environment to support the design, development, and Implementation of applications.
【参考中译】 人工智能(AI)是一个致力于各种复杂应用的领域，如电子政务服务。为了向人民提供政府服务，开发了一个基于人工智能的在线深度学习(DL)模型，以检查政府方案的可用性。然而，根据公民的使用情况，有几项电子政务服务是不可用的。在使用电子政务服务时发现了许多挑战。为了解决电子政务服务中存在的问题，本文引入了卷积神经网络(CNN)这一DL模型。该系统侧重于维护电子政务数据资源，而CNN主要用于电子政务服务的自动化。最后，CNN开发了一个创新的电子政务环境，以支持应用程序的设计、开发和实施。
【来源】 i-Manager s Journal on Image Processing 2023, vol.10, no.1
【标题】Plug-and-Play Coming to Industrial IoT
【参考中译】工业物联网即将实现即插即用
【作者】 David Greenfield
【摘要】 MQTT (message queueing telemetry transport) has been growing by leaps and bounds as a preferred method for data exchange between industrial devices and the applications that need data from those devices. Initially developed as a low-overhead data transport mechanism for Phillips 66 in the late 1990s, MQTT has since proliferated to applications ranging from Facebook Messenger, Amazon Web Services IoT Core, and Microsoft Azure IoT Hub to Deutsche Bahn Railways and connected home appliances, as well as manufacturing facilities and power plants.
【参考中译】 MQTT(消息队列遥测传输)作为工业设备和需要来自这些设备的数据的应用之间进行数据交换的首选方法，已经得到了突飞猛进的发展。MQTT最初是作为Phillips 66在20世纪90年代末开发的一种低开销数据传输机制，此后迅速扩展到从Facebook Messenger、Amazon Web Services IoT Core、Microsoft Azure IoT Hub到德国铁路和互联家电，以及制造设施和发电厂的各种应用。
【来源】 Automation World 2022, vol.20, no.7