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Dylan Nguyen
Dylan Nguyen

Search Results For HARDWARE (160)

In this paper we present the results of a creative development program for young students with the name, OurToys. In our empirical evaluation, a group of researchers and artists designed and implemented two workshop pro-grams of a total of 66 pupils, exploring their experiences with open source software and hardware. The workshops were based on Reggio Emilia philosophy of creative reuse and the open-source software Scratch. The results showed that: software and hardware intensive activities raise awareness of technology, intensify the experience, and invite students to explore boundaries and increase collaboration and the exchange of views and ideas.

Search results for HARDWARE (160)

Due to the proliferation of mobile devices and services, the scale of multiple-input-multiple-output (MIMO) communication systems is getting larger and larger and can be massive in future wireless networks. This results in significant increases in hardware cost and power consumption. Recently, low-resolution analog-to-digital converters (ADCs) have been considered as a practical solution for reducing hardware cost and power consumption in MIMO systems. This is because low-resolution ADCs have simple hardware architectures as well as very low power consumption. However, the severe nonlinearity of low-resolution ADCs causes significant distortions in the received signals and therefore makes signal processing tasks such as channel estimation and data detection much more challenging compared to those in high-resolution systems. Motivated by the fact that machine learning is very powerful in solving non-linear problems, this dissertation exploits machine learning to develop low-complexity yet efficient and robust algorithms for channel estimation and data detection in MIMO systems with low-resolution ADCs. 041b061a72


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