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This study analyzes the impact of exchange rate volatility (ERV) on inbound tourist arrivals from four ASEAN countries namely Indonesia, the Philippines, Singapore, and Thailand during 1970–2017. Volatility in the exchange rates between the tourist currency and ringgit Malaysia is measured using the Generalized Autoregressive Conditional Heteroskedasticity model. The results from Autoregressive Distributed Lagged models indicate that ERV has no significant impact on tourist arrivals from ASEAN to Malaysia. This implies that tourists from these countries may not be sensitive to ERV when choosing Malaysia as their travel destination. There are two possible explanations for the results. First, Malaysian ringgit has been depreciating against major currencies and regional currencies in recent years, which makes ringgit relatively cheaper than other ASEAN currencies. Second, the empirical results of the study support the argument that ERV has a more serious impact on tourist spending compared to tourist arrivals.

Solid particles flowing in a pipeline is a common mode of transport in industries. This is because pipeline transportation can avoid waste through spillage and minimizes the risk of handling of hazardous materials. Pharmaceutical industries, food stuff manufacturing industries, cement, and chemical industries are a few industries to exploit this transportation technique. For such industries, monitoring and controlling material flow through the pipe is an essential element to ensure efficiency and safety of the system. The purpose of this paper is to present electrical charge tomography, which is one of the most efficient, robust, cost‐effective, and non‐invasive tomographic methods of monitoring solid particles flow in a pipeline.

Process flow data are captured by fitting an array of 16 discrete electrodynamic sensors about the circumference of the flow pipe. The captured data are processed using two tomographic algorithms to obtain tomographic images of the flow. Then a neural network tool is used to improve image resolution and accuracy of measurements.

The results from the above technique show significant improvements in the pipe flow image resolution and measurements.

The paper presents electrical charge tomography, which is one of the most efficient, robust, cost‐effective, and non‐invasive tomographic methods of monitoring solid particles flow in a pipeline.

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 paper aims to present an alternative to current banking systems. The purpose of the paper is the optimisation of the concept of cash waqf and its management in the framework of a waqf bank and its viability.

The study is doctrinal and empirical. Several assumptions concerning the structure and operation of the bank are made, surveyed and descriptively analysed.

The concept of cash waqf could be used for the operation of a waqf bank. There was a tendency among the given group of practitioners towards a corporate international social bank, capitalised by the waqf and non-waqf assets, sought after from the public and private sectors, as well as the Muslims and non-Muslims.

Assumptions are basic. Empirical findings are based on the perspective of waqf trustees. Other stakeholders’ perspectives need further research.

The study is expected to persuade for, and assist in the establishment of a waqf bank.

This paper could contribute to the effectiveness of waqf institutions in their delivery of public good to the poor and society. These implications are not restricted to a specific country. Charities and the poor of any society may benefit from this study if the idea of total social banking is upheld.

This study is the first to address the structure and operation of a waqf bank empirically.

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.

The use of pneumatic conveying of solid bulk over long distance has become a popular technique due to low operational cost, low maintenance requirement, layout flexibility and ease of automation. The purpose of this paper is to identifity the flow regime in a pneumatic conveyor system by electrodynamic sensor placed around the pipe using fuzzy logic tools.

Electrical charge tomography is used to detect the existence of inherent charge on the moving particles through the pipe. Linear back projection algorithm and filtered back projection algorithm are employed to produce tomography image. Baffles of different shapes are inserted to create various flow regimes, such as full flow, three quarter flow, half flow and quarter flow. Fuzzy logic tools are used to identify different flow regimes and produce filtered back concentration profiles for each flow regime.

The results show significant improvement in the pipe flow image resolution and measurement.

This paper presents a flow identifier method using electrical charge tomography and fuzzy logic to monitor solid particles flow in pipeline.

The purpose of this research is to design 3D print and analyze mechanical as well as microstructural behavior of interlaced fibrous structures using Dremel 3D45 additive manufacturing (AM) machine.

A series of plain and twill weave fabrics are designed using computer-aided design software Solidworks and printed using fused deposition modeling machines to determine the best model that could be printable. The structures were designed in such a way that the fabricated yarns with pure (PLA) were not sticking to each other in the fabric structure. The specimens were printed in vertical orientation and then tensile and three-point bending (flexural) tests were conducted for twill weave fabrics.

The tests showed that the mechanical strength was higher in the warp direction than in the weft direction. This difference was because of printing of continuous filament-like yarns in the warp direction and staple-like yarns in the weft direction. This orthotropic property of the material was verified by analyzing its microscopic structures via optical microscope.

Future work should include improvement of the structure and exploration of different polymers and their composites to increase the tensile, bending and other strengths to make the 3D-printed structures more flexible and stronger. Future research should also focus on the large-scale manufacturing of 3D printed fabrics.

This paper supports work on wearable 3D-printed fabrics. The 3D-printed fabric will also contribute to new applications and products such as liquid filters.

The research done in this work is new and original. This paper contributes to new knowledge by providing a better understanding of polymers and their 3D printing capabilities to form a complex fabric structure.

The purpose of this study is to understand the determinants affecting behavioral intention (BI) to use ePharmacy services. The moderating role of technology discomfort in the relationship between BI and the actual use of ePharmacies in the context of Bangladesh is also examined.

A descriptive, quantitative approach was used to consider the UTAUT-2 model. Using the convenience sampling method, 255 responses were collected. The data were analyzed using Smart-PLS 3.2 software to investigate the hypothesized relationships.

The findings reveal that website information, doctors’ services, performance expectancy, return policy, social influence, perceived reliability and facilitating conditions are significantly related to the BI to use ePharmacy services. Interestingly, the structural equation modeling results also confirmed that technology discomfort has no moderating effect on the relationship between BI and actual usage behavior.

This research provides theoretical contribution by extending the practical knowledge focusing on the relationship of ePharmacy, BI and actual usage behavior by using UTAUT-2 model – a relevant and unexplored issue in the easting literature, offering several research opportunities as the future avenue.

The result highlights the economic and social relevance from the perspective of a developing country. As people are showing their intention toward ePharmacy, managers and decision-makers need to take strategic decision to overcome any difficulties. Policymakers need to improve their services for the expansion of ePharmacy through different development projects.

This study advances past studies on the use of ecommerce in the pharmaceutical industry and provides a general understanding of customers in developing countries.

This study akims to investigate the effectiveness of expansionary monetary policy for Islamic capital markets by studying the impact of decrease in policy rates on seven Islamic equity indices for the period 1996–2019. The transmission mechanism may be different for sampled indices, as they are exposed to Shariah screening that discards certain business sectors and puts limit on debt in capital structure.

This study uses Markov Switching dynamic regression approach of Hamilton (1988).

The results show little effectiveness of expansionary monetary policy in both Bear and Bull states, for most of the sample indices.

To the best of the authors’ knowledge, no study has made use of dynamic models to assess the association between monetary policy rate and Islamic index prices. Similarly, the authors found no work exploring the effectiveness of expansionary monetary policy actions in different regime for Islamic Indices. This investigation is important in unraveling whether, in the presence of limitations on selection of business activity and choice of capital structure, monetary policy can change the market sentiment, or it will be ineffective. The present study fills this gap.