Analytic Study Of The Trend Of Ghanas GDP Before And After Re-basing

The fourth republican constitution came into force in 1993. Ghana statistical Service also re-based Ghanas GDP in the same year. From 1993 to 2005, the average GDP growth rate was about 4.3%. Within the period of 1993 and 2005, Ghana was still below the lower middle income level. Another re-basing took place in 2006. It is now believed that we are in the lower middle income level. The study was conducted to develop mathematical models to predict the trend of Ghanas GDP before re-basing and after re-basing in 2006, use the models before and after re-basing to predict the future trend in Ghanas GDP growth, compare our GDP growth before re-basing and after re-basing, to determine whether or not, there are fluctuations in our GDP growth and predict Ghanas per capita income status in 2015. Data on Ghanas GDP were collected from the Statistical Service Department. The GDP figures from 1993-1995 and from 1996-2010 were plotted separately on graphs. A function whose graph best fits each trend was found using regression analysis. It was observed that Ghanas GDP trends before and after re-basing was exponential. There were also no fluctuations in the growth of the economy. Ghana may still be in the lower middle income status by 2015

Gaining and Maintaining Employee Trust in Academia: The Cultural Setting Perspective

Good working relations between employers and employees are essential for the growth of an organization. One of the very key carriers in building this good relation is employee trust. Employee and its dynamics have been widely considered for institutions such as finance, auditing, sports, but not academia. Also, the majority of the current work has focused on only one region and its social work setting on employee trust. To this extent, this research work aims to propose a theoretical framework bringing to light the factors for gaining and maintaining employee trust in academia. A comparative study is done using the case of the University of Derby (UK) and Valley View University (Ghana). Both quantitative and qualitative methods are used to compare the responses from the two countries. The findings revealed that general trust is influenced by a lot of drivers like the consistency of managers, length of work, and place of work. There appeared to be some statistical evidence of the difference between the two countries. Nevertheless, it did not reveal the differences in culture at work. Keywords: Employee Trust, Foreign fund, Organizational performance, Leadership, Culture. DOI: 10.7176/RJFA/10-22-06 Publication date: November 30th 201

Perspective Chapter: 5G Enabling Technologies – Revolutionizing Transport, Environment, and Health

The latest cellular technology, known as 5G, is anticipated to significantly improve the way systems in the physical and social environment (PSE) interact with technology. 5G technologies allow for the creation of a wide range of novel automation and applications. Recently, the Internet of Things (IoT), virtual and augmented reality (VAR), telemedicine, and autonomous vehicles have increased the growth of applications in the PSEs and can further benefit from 5G’s fast data transfer speeds (ranging from 1 to 10 Gbps) and low latency. The introduction of 5G may cause a paradigm shift in the operations of some industries, offer new economic opportunities, and impact our daily lives and relationships with the PSE. In this chapter, we examine how 5G revolutionize transport, the environment, and health. The chapter focuses on recent technologies related to virtual and augmented reality, autonomous vehicles, telemedicine, and edge computing among others

Applications of Prediction Approaches in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) collect data and continuously monitor ambient data such as temperature, humidity and light. The continuous data transmission of energy constrained sensor nodes is a challenge to the lifetime and performance of WSNs. The type of deployment environment is also and the network topology also contributes to the depletion of nodes which threatens the lifetime and the also the performance of the network. To overcome these challenges, a number of approaches have been proposed and implemented. Of these approaches are routing, clustering, prediction, and duty cycling. Prediction approaches may be used to schedule the sleep periods of nodes to improve the lifetime. The chapter discusses WSN deployment environment, energy conservation techniques, mobility in WSN, prediction approaches and their applications in scheduling the sleep/wake-up periods of sensor nodes

Signal Propagation in Soil Medium: A Two Dimensional Finite Element Procedure

A two-Dimensional Finite Element Method of electromagnetic (EM) wave propagation through the soil is presented in this chapter. The chapter employs a boundary value problem (BVP) to solve the Helmholtz time-harmonic electromagnetic model. An infinitely large dielectric object of an arbitrary cross-section is considered for scattering from a dielectric medium and illuminated by an incident wave. Since the domain extends to infinity, an artificial boundary, a perfectly matched layer (PML) is used to truncate the computational domain. The incident field, the scattered field, and the total field in terms of the z-component are expressed for the transverse magnetic (TM) and transverse electric (TE) modes. The radar cross-section (RCS), as a function of several other parameters, such as operating frequency, polarization, illumination angle, observation angle, geometry, and material properties of the medium, is computed to describe how a scatterer reflects an electromagnetic wave in a given direction. Simulation results obtained from MATLAB for the scattered field, the total field, and the radar cross-section are presented for three soil types – sand, loam, and clay

Smart River Monitoring Using Wireless Sensor Networks

Water quality monitoring (WQM) systems seek to ensure high data precision, data accuracy, timely reporting, easy accessibility of data, and completeness. The conventional monitoring systems are inadequate when used to detect contaminants/pollutants in real time and cannot meet the stringent requirements of high precision for WQM systems. In this work, we employed the different types of wireless sensor nodes to monitor the water quality in real time. Our approach used an energy-efficient data transmission schedule and harvested energy using solar panels to prolong the node lifetime. The study took place at the Weija intake in the Greater Accra Region of Ghana. The Weija dam intake serves as a significant water source to the Weija treatment plant which supplies treated water to the people of Greater Accra and parts of Central regions of Ghana. Smart water sensors and smart water ion sensor devices from Libelium were deployed at the intake to measure physical and chemical parameters. The sensed data obtained at the central repository revealed a pH value of 7. Conductivity levels rose from 196 S/cm to 225 S/cm. Calcium levels rose to about 3.5 mg/L and dropped to about 0.16 mg/L. The temperature of the river was mainly around 35°C to 36°C. We observed fluoride levels between 1.24 mg/L and 1.9 mg/L. The oxygen content rose from the negative DO to reach 8 mg/L. These results showed a significant effect on plant and aquatic life