Adama University

About: Adama University is a education organization based out in Nazrēt, Ethiopia. It is known for research contribution in the topics: Population & Adsorption. The organization has 840 authors who have published 1010 publications receiving 5547 citations. The organization is also known as: Adama Science and Technology University & ቴክኖሎጂ ዩኒቨርሲቲ, አዳማ ሳይንስና ቴክኖሎጂ ዩኒቨርሲቲ.

A Framework for Microgrid to Distribution Management System (DMS) Communication in Smart Distribution Network

Abstract: The transformation from conventional power grid to smart grid has brought interdisciplinary concepts together. The distribution management system is a part of the smart grid and is a complex entity which requires different applications for monitoring, control and manage the distribution network operator (DNO). In this paper the communication framework is proposed for microgrid control center (MGCC) to DMS using long term evolution protocol (LTE). The LTE physical layer is modeled in MATLAB/SIMULINK and the bit error rate (BER) to signal to noise ratio (SNR) curves are plotted.

Optimum NP Fertilizers Rate For Wheat Production on Alfisols of Arjo and Shambu Highlands, Western Ethiopia

Abstract: The study was conducted on Alfisols of Arjo and Shambu highlands of western Ethiopia under the farmers’ condition to determine optimum NP fertilizers rate for wheat production. The treatments used were four levels of N (0, 23, 46, and 60 kg ha 1 ) and three levels of P (0, 15, and 23 kg ha 1 ) in factorial arrangement. The treatments were laid out in randomized complete block design with three replications using the local wheat variety. The main effects of N were significant (P 0.05) on grain yield at all locations and seasons except for 2008 at Shambu and 2010 at Arjo. The soil analytical data showed that most of the farmers allocated the fertile parts of their land for wheat production. The economic analysis revealed that the highest net benefit were 2937.50 Eth. Birr/ha with the sole application of 23 kg N ha 1 . However, the highest marginal rate of return (MRR) was achieved with the sole application of 46 kg N ha 1 which provided 16785.70% MRR, followed by 2470.37% with the use of 23/23 kg N/P ha 1 . As P is also the limiting plant nutrients in Alfisols of Arjo and Shambu highlands, the use of 23/23 kg N/P ha 1 is found to be economical and practical for wheat production in the study area. Sensitivity analysis was carried out as well with 10% increases in inputs (labor and NP fertilizers) that maintained the recommendation. However, the recommendation (23/23 kg N/P ha 1 ) should be used, taking into account the farmers’ soil fertility classification systems. The full dose of the recommended rate should be used on the farmers’ field classified as low fertile. This implies that no need to use NP fertilizers on soils classified as fertile by farmers since the resultant lodging and disease incidence significantly reduce the grain yield.

Parametric linear time delay models and stability analysis for action-perception behavior of human subjects

Abstract: In this paper a linear time delay systems of retarded type are presented as a potential model that can capture the behavior of human arm movement. The line tracking experiment is designed to validate the performance of the proposed model. The issue of stability of the time delay systems is presented and the critical delays curve is computed to indicate the stable region of the system in the delay parameter space. The comparison of different subject is presented to show the application of time delay models in the area of human motion modeling.

Development of quality assessment tool for geospatial data acquisition in surveying and geoinformatics

Abstract: Quality of geospatial data has become a major source of concern for users of Geographic Information Systems (GIS). This is not unconnected with the proliferation of geospatial data that abound in the industry as a result of development in Information and Communication Technology (ICT). GIS can be defined as a tool for integrating both spatial and non-spatial data from various sources for analysis and management. This tool, which has become a house-hold name in all facets of human endeavour, has little to offer in terms of determining quality of data acquired without the provisions of other external measures. In this study, a computer tool (software) was developed to determine the quality of geospatial data using horizontal coordinates of points from satellite image and large scale cadastral maps of a study area. The developed spatial data quality assessment tool is codenamed 'GeoQAss'. The procedure adopted involved the use of statistical models to determine the Root Mean Square Error (RMSE) between the satellite image coordinates against coordinates of the same points obtained from large scale cadastral maps. Test of hypothesis was carried out using Chi-Square statistic at 95% confidence level to ascertain conformity of the variance of the satellite data with the variance obtained for large scale maps. The analysis of the results proved the efficacy of the developed tool in assessing the quality of geospatial data to determine whether or not they (geospatial data) are useful for further applications in GIS environment.