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An identification model for materials flow through a pipeline is presented in this paper. The development of the model involves fuzzy C-means clustering, in which different flow regimes can be identified by every adaptive network-based fuzzy inference system (ANFIS). The paper aims to discuss these issues.

For experimentation, 16 electrodynamic sensors were used to monitor and measure the charge carried by dense particles flow through a pipeline in a vertical gravity flow rig system. Four ANFIS models were also used simultaneously to provide the expected output on thresh-holding and were evaluated for ten different flow regimes, which produced satisfactory results at high flow rate.

The observations made on the four ANFIS models in the flow identification experimentation (in ten different flow regimes) have shown convincing and satisfactory results at high-flow rate of the particles.

Electrodynamic sensors have shown strong sensing capability in identification of dense-particle flows within a conveyor; and also proven capability to operate effectively in harsh industrial environments due to their firm and simple structures. Moreover, it has been verified that these sensors can conveniently be applied in flow regime identification of solid particles.

Circular pipelines are mostly used for pneumatic conveyance in industrial processes. For optimum and efficient production in industries that use a pipeline for conveyance, tomographic image of the transport particles is paramount. Sensing mechanism plays a vital role in process tomography. The purpose of this paper is to present a two‐dimensional (2‐D) model for sensing the characteristics of electrostatic sensors for electrical charge tomography system. The proposed model uses the finite‐element method.

The domain is discretized into discrete shapes, called finite elements, by using a MATLAB. Each of these elements is taken as image pixels, on which the electric charges carried by conveyed particles are transformed into equations. The charges' interaction and the sensors installed around the circumference, at the sensing zone of the conveying pipeline are related by the proposed model equations. A matrix compression technique was also introduced to solve the problem of unevenly sensing characteristics of the sensors due to elements' number's concentration. The model equations were used to simulate the modeled electrostatic charge distribution carried by the particles moving in the pipeline.

The simulated results show that the proposed sensors are highly sensitive to electrostatic charge at any position in the sensing zone, thereby making it a good candidate for tomographic image reconstruction.

Tomographic imaging using finite element method is found to be more accurate and reliable compared to linear and filtered back projection method.

This study aims to establish a multi-physics-coupled model for an electrostatic particulate matter (PM) sensor. The focus lies on investigating the deposition patterns of particles within the sensor and the variation in the regeneration temperature field.

Computational simulations were initially conducted to analyse the distribution of particles under different temperature and airflow conditions. The study investigates how particles deposit within the sensor and explores methods to expedite the combustion of deposited particles for subsequent measurements.

The results indicate that a significant portion of the particles, approximately 61.8% of the total deposited particles, accumulates on the inside of the protective cover. To facilitate rapid combustion of these deposited particles, a ceramic heater was embedded within the metal shielding layer and tightly integrated with the high-voltage electrode. Silicon nitride ceramic, selected for its high strength, elevated temperature stability and excellent thermal conductivity, enables a relatively fast heating rate, ensuring a uniform temperature field distribution. Applying 27 W power to the silicon nitride heater rapidly raises the gas flow region's temperature within the sensor head to achieve a high-temperature regeneration state. Computational results demonstrate that within 200 s of heater operation, the sensor's internal temperature can exceed 600 °C, effectively ensuring thorough combustion of the deposited particles.

This study presents a novel approach to address the challenges associated with particle deposition in electrostatic PM sensors. By integrating a ceramic heater with specific material properties, the study proposes an effective method to expedite particle combustion for enhanced sensor performance.

The purpose of this paper is to conduct a review of types of tomographic systems that have been widely researched within the past 10 years. Decades of research on non-invasively and non-intrusively visualizing and monitoring gas-liquid multi-phase flow in process plants in making sure that the industrial system has high quality control. Process tomography is a developing measurement technology for industrial flow visualization.

A review of types of tomographic systems that have been widely researched especially in the application of gas-liquid flow within the past 10 years was conducted. The sensor system operating fundamentals and assessment of each tomography technology are discussed and explained in detail.

Potential future research on gas-liquid flow in a conducting vessel using ultrasonic tomography sensor system is addressed.

The authors would like to undertake that the above-mentioned manuscript is original, has not been published elsewhere, accepted for publication elsewhere or under editorial review for publication elsewhere and that my Institute’s Universiti Teknologi Malaysia representative is fully aware of this submission.

This study aims to test the Malthusian and Kremer theories by exploring the relationship between population and economic growth in a low middle-income economy of India.

The autoregressive distributed lag approach is employed based on the nature of time-series data to achieve the study objectives. In this study, regressand is economic growth measured by real GDP, and the regressors are population growth rate, investment, life expectancy and inflation rate from 1980 to 2018.

Empirical results confirm the applicability of Kremer’s theory. In this theory, population growth has a significant and positive impact on economic growth in the short and long run. Moreover, investment and life expectancy variables have a positive and significant impact on economic growth, whereas inflation rate has a negative association with economic growth. Empirical results support the population-growth-driven economic growth hypothesis, which indicates that population growth stimulates economic growth and development.

Empirical findings in this study provide guides for management authorities in formulating the right and relatable policies on population growth whilst promoting economic growth and social welfare.

Achieving a desirable level of economic growth is the prime objective of every country. The role of the population in the process of economic growth and development cannot be overlooked. Malthus' and Kremer's views are opposite. Extant literature exhibits that scant research has been carried out on this significant topic in developing countries. Therefore, empirically investigating the effect of population on the growth performance of India as a developing country is necessary and will significantly contribute to the literature.

The peer review history for this article is available at: https://publons.com/publon/10.1108/IJSE-08-2019-0496

The study assesses the non-linear nexus between fixed broadband and economic growth. The study focuses on data from 33 African countries for the period 2010 to 2020.

The empirical evidence is based on unit root tests, panel smooth transition regression and the generalized method of moments.

The following findings are established in this study. (1) The proportion of the population with access to electricity above and below which the relationship between fixed broadband and economic growth changes in sign is about 60%. (2) Below this threshold, each 1% increase in fixed broadband subscriptions induces a decline in economic growth of about 2.58%. Above the threshold, economic growth would increase by 2.43% when fixed broadband subscriptions increase by 1%. Sensitivity analyses and generalized method of moments (GMM) estimation show that these results are robust.

Due to the coronavirus disease (COVID-19) pandemic, which requires countries to take adequate measures to curb the spread of the pandemic, especially by means of virtual economic activities, any national policy aiming at improving the access of populations to high levels of fixed broadband services should be preceded by the implementation of an electrification program for at least 60% of the total population. Otherwise, providing a good quality internet connection for the benefit of the population would not produce the expected effects on economic growth and would, therefore, be counterproductive.

This study complements the extant literature by providing thresholds at which fixed broadband affects economic growth.

The purpose of this study was to establish reading practices among retirees and to what extent public libraries in Kenya are a source of information and knowledge to them.

This was a qualitative study whose research questions were; what are retirees' reading practices? why do retirees engage in the reading practices they engage in? and to what extent do retirees use the public library for their reading practices? Purposive and snowballing were used as sampling techniques and interview was used for data collection. Data were analysed thematically.

The findings were that retirees' reading practices are fragmentary and erratic; retirees mainly engage in reading practices for spiritual reasons and for access of current information; and that retirees do not use the services of the public library for their reading activities.

The research sample is 16 subjects who might not represent features of the whole population. The findings are, however, an index to what the situation might be.

The findings are the result of actual qualitative research.

Identifying if aid flows have contributed to economic growth or growth divergence between a sample of Asian and African countries is the purpose of this paper. Using data over the period of 1980–2015, the paper attempts to establish whether aid, in any of its forms, has played a role in economic growth in these countries.

A comprehensive literature analysis over the past 70 years sets the scene for the paper. A panel data fixed-effects model is applied for each sample (Africa and Asia) between 1980 and 2015. Both theoretical predictions and empirical studies are used to derive the independent variables selected for modelling.

The findings strongly suggest that aid flows in both the Asian and African samples have no relation at all to either long-run growth paths or growth divergence. However, there is a suggestion in the case of the Africa sample that governance decline may well be the primary source of growth divergence.

This result cannot be generalised because it only focuses on six countries but as demonstrated in the paper, other possible samples (from both regions) actually make no difference to the results. It could also be argued (given the comprehensive literature analysis presented here) that it is not essential to have a theoretical relationship between aid and growth because aid is given to different countries with very different characteristics, needs, governance and policy environments.

Donor countries must play a more supervisory role to ensure aid flows are directed to the right channels in recipient countries. Aid should be given to countries which have a certain degree of macroeconomic stability and “good” policy to ensure effectiveness. They also need to pay attention to the sectoral distribution of aid as do recipient countries to better allocate aid flows to productive sectors that contribute to both short- and long-term growth.

These are not given much emphasis in this paper.

Most aid–growth studies are based on a large number of countries from different regions with different characteristics or on a single country case. This paper compares between two samples of countries sharing the same characteristics to overcome the heterogeneity problem. This paper is based on a more protracted time series from 1980 to 2015 to capture more accurately the impact of foreign aid on economic growth.

This paper examines the gender achievement gap in the Ethiopian secondary education system using tenth-grade national examination results for the period 2002/03–2013/14.

Statistical tests are employed to determine equality of the average male and female GPAs (grade point average), and equality of the proportions of female and male test-takers in the upper and lower achievement distributions. Further, a panel fixed effects model is used to evaluate factors that affect the regional average GPAs by gender and to determine whether those factors could explain observed gender achievement gaps.

Results indicate statistically significant gender achievement gaps in all regional states and the capital city. The gap has been persistent with a minor declining trend and will not be closed if continued at the current trend. The authors also find that the regional average male and female test scores could be explained partially by factors such as pupil-teacher ratio, the proportion of rural students and access to secondary schools. These factors, however, cannot explain the observed gender achievement gap.

The study uses regional data collected from the annual educational abstracts published by the Ethiopian ministry of education. It investigates the trends of the gender achievement gaps across the regional states and overtime at the tenth-grade level. It depicts the persistence of the gap hindering girls from furthering their education.

The purpose of this paper is to comprehensively examine Ghana’s tax reform programme and investigate whether it has facilitated the revenue mobilization capacity of the overall tax system and of individual taxes on the basis of estimates of tax buoyancies and elasticities.

This study uses the proportional adjustment approach to estimate tax buoyancies and elasticities of the overall tax system and of individual taxes for the pre and post tax reform period over the 1970-2013 period.

The results show that in general, tax reforms had a positive influence on the overall tax structure and on the individual tax handles as evidenced in the more than unity buoyancy and elasticity. All the individual taxes, except excise duties, recorded buoyancies and elasticities of more than unity during the reform period.

Tax authorities ought to move away from income-based taxation which discriminates against saving and investment, in favour of consumption-based taxes in conformity with international standards. Emphasis must also be placed on those taxes that have high revenue elasticities. These taxes include the personal, corporate, the Value Added Tax, and the import duties.

In this study, the paper extends and disaggregates the data on taxes, account for discretionary tax changes from the historical time series data, and use the adjusted historical time series data to estimate tax elasticity. The study therefore provides an in-depth understanding of the effects of the tax reforms on the overall tax system and of individual taxes in Ghana.