ASRIC Journal of Natural Sciences 2022 v2-i1
ISSN: 2795-3610
EISSN: 2795-3610
Current Issue
ASRIC Journal of Natural Sciences 2022 v2-i1
The aim of this paper is to introduce the computer aided design and analysis of different configuration of singly-balanced Microstrip diode mixers using the recent MSDES program developed by the author and the recent ADS package. The design stages of the Microstrip Mixers including the design of hybrid couplers, Design of matching circuit that matches the diode input impedance to the coupler, and design of Lowpass filter that passes the IF output signals are introduced.
Published: 2022-12-05
Articles
Spacecraft Attitude and Orbit Determination from the Cost and Reliability Viewpoint: A Review
Tamer Mekky1, Ahmed Habib
Spacecraft attitude and orbit control subsystem (AOCS) is responsible for about 30% of the failures of spacecraft. Spacecraft Attitude and orbit determination (SAOD) are two main tasks which are executed by an AOCS. For some spacecraft missions, mission success criterion is related directly to the performance of AOCS. A typical SAOD process is composed from software and hardware. SAOD software has
An Efficient Analysis of Ad-Hoc on Demand Distance Vector Routing Protocol at Different Transmitted Power and Speeds
Saad El Sayed1
Abstract—Mobile Ad-Hoc Network (MANET) is a dynamic system which is totally free of fixed infrastructure. In (MANETs), each node is responsible for routing its data according to a specific routing protocol. The three most common ad hoc routing protocols are Ad-hoc On-demand Distance Vector (AODV), Optimized Link State Routing Protocol (OLSR) and Dynamic Source Routing protocol (DSR). This paper pr
Computer-Aided Design and Analysis of Different Configurations of Singly - Balanced Microstrip Diode Mixers Using the Modified MSDES and ADS Packages
Saad El Sayed1 & Saied H. Ibrahim1
Abstract—The aim of this paper is to introduce the computer aided design and analysis of different configuration of singly-balanced Microstrip diode mixers using the recent MSDES program developed by the author and the recent ADS package. The design stages of the Microstrip Mixers including the design of hybrid couplers, Design of matching circuit that matches the diode input impedance to the coup
Prediction of Flyrock Throw Using Gaussian Process Regression Machine Learning Models
Akuinor Tsidi Bright1, Amegbey, Newton1 and Mireku-Gyimah, Daniel1
Flyrock is a by-product of blasting that can pose dangers to man, equipment, infrastructure, and neighbouring mining communities. As such, there is the need to minimise the throw of flyrock using predictive tools. Hence, in this research, the GPR is used for flyrock throw prediction. The results from the different GPR models were compared with those of BPNN, namely LM, BR and SCG algorithm. The ac
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