Akçay, Latif; Sürer, Bartu; Yalçin, Berna Ors

In this study, it is aimed to implement the lowRISC system-on-chip, which is based on the Rocket processor created with the RISC-V instruction set architecture developed by Berkeley University, on FPGA and to run image processing algorithms on this system. While making this implementation, the main target is a system that is very simple, consumes low power, and can be quickly redirected to other purposes. Therefore, it is based on the effective evaluation of the existing system without using any extra customized accelerators. Thus, a free, open source, and powerful enough platform for many embedded system applications is proposed to the designers. For this purpose, a lane detection application designed with standard C libraries such as Gaussian blur filter, Sobel operation filter and other elements, which are widely used in image processing applications, is run with embedded Linux operating system and the results are shared.

AtıfOpenAlex1

İncele

Kosunalp, Selahattin; Cihan, Ahmet

The major problem in wireless sensor networks (WSNs) is the limited-energy source, typically small batteries, employed by sensors. In order to prolong the lifetime of the WSNs, a lot of approaches have taken the limited-energy problem as a primarily design criterion. However, inevitable energy depletion will eventually disturb the operation of the WSNs. Recent studies have shown that renewable energy sources would potentially provide an infinite energy source for powering WSNs. Solar energy is the most effective energy source for WSNs as it has the largest power intensity. Therefore, each sensor which requires a small amount of energy for efficient operation can harvest sufficient energy from solar. In this study, a platform is designed in order to allow sensors to exploit solar energy. The performance of the sensors in terms of the lifetime is practically studied. The results demonstrate that sensors can also survive when there is no energy available through storing energy in a super-capacitor. IRIS nodes are used in experiments as they are very popular in WSNs domain.

İncele

Tabakcioglu, Mehmet Baris; Ayberkin, Doruk

To make higher accuracy predictions having less computation complexity, lower computation time, a lot of electromagnetic wave propagation models are developed. These models are classified into two classes, ray tracing based and numerical models. Computation complexity, computation time and accuracy of prediction of numerical model are high. On the contrary, computation complexity and computation time of ray tracing based model is lower. There is a tradeoff between computation time and accuracy. To predict the relative path loss at the receiver accurately, all ray paths have to be determined. In this study, after giving some brief information about some ray tracing based propagation models ray tracing software will be explained.

AtıfWoS1

İncele

Tabakcioglu, Mehmet Baris; Ayberkin, Doruk

Electromagnetic wave propagation models are used in radio planning tool and coverage prediction. These models are based on ray tracing technique or numerical. Slope UTD with convex hull model is a model which has less computation time, higher accuracy of prediction and based on ray tracing technique. S-UTD-CH model is used in multiple diffraction due to that this model gives more accurate results in less computation time. Obstacles can be modelled as knife edge, wedge or cylinder in ultra-high frequencies. inner angle, structure type and relative permittivity constant and conductivity of obstacle and polarization type of electromagnetic wave change the relative path loss at the receiver. In the study, how building parameter changes the relative path loss is discussed.

İncele