8142 research outputs found
Sort by
A combination of FR and HS coefficient in conjugate gradient method for unconstrained optimization
No full textThe conjugate gradient (CG) method is one of the most popular methods for solving large-scale problems
of unconstrained optimization. In this paper, a new CG method based on combination of two classical CG
methods of Fletcher-Reeves (FR), and Hestence-Stiefel (HS) is proposed. This method possess the
global convergence properties and the sufficient descent condition. The tests of the new CG method by
using MATLAB are measured in terms of central processing unit (CPU) time and iteration numbers with
strong Wolfe-Powell inexact line search. Results presented have shown that the new CG method
performs better compare to other CG methods
i-BeeHOME: An Intelligent Stingless Honey Beehives Monitoring Tool Based On TOPSIS Method by Implementing LoRaWAN - A Preliminary Study
No full textThis paper describes a preliminary study on the development of an intelligent bee hives monitoring tool called i-BeeHOME. This intelligent tool is capable to collect crucial information on bee colony hives in real time despite of its remote location. The capability as a smart device of i-BeeHOME is further advanced when these information is then analyzed using one of the most well known multi-criteria decision making (MCDM) method, i.e TOPSIS. Therefore, it is realized that the capability of i-BeeHOME is three-fold, i.e (I) collects and retrieves crucial information from beehives despite of its remote/rural location where WiFi/BLE based netwrok are ineffective by using LoRa technology, analyzes information collected to predict the conformity of bee hives location for high quality of honey production by using TOPSIS method, and tracking the geographical location of beehives in protecting if from being stolen/lost by using LoRaWAN technology. It is expected that the development of this tool will not only help the beekeepers to monitor honey beehives with minimum effort, but also implicitly allows further investigation on how to promote high quality of honey production by stingless bees
Concluding remarks
No full textThis chapter provides the general conclusion of the present brief. The limitations, practical implications as well as the
future direction of the study are also briefly discussed in this chapter. © 2019, The Author(s), under exclusive license
to Springer Nature Singapore Pte Ltd
Natural resources, a curse towards national development: A case of Nigeria and the democtratic republic of Congo
No full textNatural Resources are gifts that support economic, social and political
development that pave way for nation-building and future sustainability of
any given society. Several countries and regions were bestowed with variety
resources such as crude oil, natural gas, gold, iron ore, etc. These resources
do not automatically make the beneficiary rich or live a better life, unless the
policy makers sincerely formulate and adopt right policies towards
implementation of such policies. Without technology adaptation, oil, gold,
copper and other natural resources of these kinds can not be extracted to
yield effective and profitable production, while decision makers, adequate
laws and enforcement are tools to achieve positive goals and objectives.
Resources curse theory is one of the theories within the political economy
that oversees the potentiality of natural resource as a consequence of various
disadvantages in a giving society rather than rich and enjoys economic
growth and political stability, as a result, merely ends up state ends up in
destruction. The paper examined the relationship between resources and state
development, its contribution largely to focus on Nigeria and Democratic
Republic of Congo as illustration of African resourceful states with less
development. As a result, the study adopts the Resources curse theory in
analysing these resources and its consequences while policy makers’
decisions are duly examined in reaching a conclusive result
