by Spyros Loutridis
Original Research
A new approach to feedback circuit analysis called the non-ideal op amp method is proposed. The method is both accurate and simple to apply and solves the two main difficulties of the two-port analysis, namely the identification of the feedback type and the determination of the feedback network loading to the input and the output of the amplifier. The proposed methodology extends the standard op amp theory, treating every amplifier as a voltage amplifier, thus avoiding the problem of feedback type determination. All calculations refer to the unloaded open-loop circuit; therefore, there is no need to determine feedback loading. The article also demonstrates a technique for the correct calculation of the output impedance in current feedback.
American Journal of Electrical and Electronic Engineering. 2022, 10(1), 24-31. DOI: 10.12691/ajeee-10-1-3
Pub. Date: August 09, 2022
2665 Views13 Downloads
by Kexin Ye, Lei Zhang and Tianran Li
Original Research
In order to solve this problem, this paper proposes an image title generation model based on deep loop architecture. This model combines some new achievements in computer vision and machine translation, and can generate natural sentences that accurately describe the image for an uncomplicated physical image. The model is trained to maximize the accuracy of the target description sentence in a given training image. The training data set was mainly completed by the MSCOCO data set, and in the later adjustment stage, some feature pictures I specifically looked for on the Internet were included for improvement. Test experiments on several data sets verify that the model has the ability of basic accurate image description. This model is usually more accurate in the case of uncomplicated physical pictures, which I have verified both qualitatively and quantitatively. The final result can input a qualified image and output a natural language sentence to describe the main content of the image.
American Journal of Electrical and Electronic Engineering. 2022, 10(1), 6-23. DOI: 10.12691/ajeee-10-1-2
Pub. Date: July 27, 2022
3736 Views17 Downloads
by Arun Agarwal, Chandan Mohanta and Gourav Misra
Original Research
Within a couple of decades we have headed from large and heavy devices used for voice communication alone to small and compact smart devices those are capable of handling multitasking operations as well as browsing through high-speed internet and HD video streaming. The stark difference among the previous generations and now is the rate of flow of data. If we want to expand our capabilities we need to proportionately increase the data rate keeping further exponential growth in the future too. This thesis investigates a heterogeneous network that comprises a Li-Fi and a Wi-Fi wireless fidelity network. Two tiers of miniature attocells of Li-Fi that use the visible light spectrum are used, resulting in a significant boost in wireless network's data transmission in the indoor environment. The frequency bands of LiFi and Wi-Fi do not overlap, as they belong to completely different spectrum. Unlike Wi-Fi access points (APs), Li-Fi access points (APs) cover a smaller area where even a minor client movement can result in multiple handoffs between Li-Fi attocells, impairing system performance.. As the span of handover decreases, however, the Li-Fi data rate increases with the increased bandwidth of the Li-Fi AP that is serving the client. Additionally, a comprehensive comparison between LiFi and Wi-Fi has been elaborated.
American Journal of Electrical and Electronic Engineering. 2022, 10(1), 1-5. DOI: 10.12691/ajeee-10-1-1
Pub. Date: January 23, 2022
6670 Views10 Downloads