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Computer Modelling of Compact 28/38 GHz Dual-Band Antenna for Millimeter-Wave 5G Applications
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作者 Amit V.Patel Arpan Desai +5 位作者 Issa Elfergani Hiren Mewada Chemseddine Zebiri Keyur Mahant Jonathan Rodriguez Raed Abd-Alhameed 《Computer Modeling in Engineering & Sciences》 SCIE EI 2023年第12期2867-2879,共13页
A four-element compact dual-band patch antenna having a common ground plane operating at 28/38 GHz is proposed formillimeter-wave communication systems in this paper.Themultiple-input-multiple-output(MIMO)antenna geom... A four-element compact dual-band patch antenna having a common ground plane operating at 28/38 GHz is proposed formillimeter-wave communication systems in this paper.Themultiple-input-multiple-output(MIMO)antenna geometry consists of a slotted ellipse enclosed within a hollow circle which is orthogonally rotated with a connected partial ground at the back.The overall size of the four elements MIMO antenna is 2.24λ×2.24λ(at 27.12GHz).The prototype of four-element MIMOresonator is designed and printed using Rogers RTDuroid 5880 withε_(r)=2.2 and loss tangent=0.0009 and having a thickness of 0.8 mm.It covers dual-band having a fractional bandwidth of 15.7%(27.12-31.34 GHz)and 4.2%(37.21-38.81 GHz)for millimeter-wave applications with a gain of more than 4 dBi at both bands.The proposed antenna analysis in terms ofMIMOdiversity parameters(Envelope Correlation Coefficient(ECC)and Diversity Gain(DG))is also carried out.The experimental result in terms of reflection coefficient,radiation pattern,gain and MIMOdiversity parameter correlates very well with the simulated ones that show the potential of the proposed design for MIMO applications at millimeter-wave frequencies. 展开更多
关键词 Connected ground diversity parameters dual-band antenna fifth generation(5G) mmwave multiple input multiple output(MIMO)
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ChatGPT能够理解吗?从符号奠基问题的角度看 被引量:1
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作者 毛郝浩 李建会 《科学技术哲学研究》 CSSCI 北大核心 2023年第4期15-22,共8页
符号奠基问题来自约翰·塞尔的中文屋论证,它指的是一个基于形式符号系统的计算机程序如何获取和理解语言意义的问题。随着技术的发展,联结主义现已成为人工智能的主流范式,ChatGPT正是联结主义的产物之一。和中文屋一样,ChatGPT也... 符号奠基问题来自约翰·塞尔的中文屋论证,它指的是一个基于形式符号系统的计算机程序如何获取和理解语言意义的问题。随着技术的发展,联结主义现已成为人工智能的主流范式,ChatGPT正是联结主义的产物之一。和中文屋一样,ChatGPT也能在一个“窗口”中和人类进行对话,但其不是纯粹的符号系统,而是一种基于神经网络的大型语言模型。和其他联结主义模型类似,ChatGPT也具有“分布式表征”“自我进化”等特性,这些特性赋予了ChatGPT一种内在论式的语言理解能力。同时,一种基于ChatGPT的机器人方案也能为解决符号奠基问题提供新的思路。如果该方案能成功,人们就很难说,面前的机器人没有智能。 展开更多
关键词 符号奠基问题 联结主义 ChatGPT 人工智能
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