Search results

The purpose of this study is data generated from any social networking sites may provide some hidden knowledge on a particular domain. Based on this concept the previous paper had proved that social connectivity enhancement takes place through triadic closure and embeddedness in terms of social network graph-theoretic approach. Further, the work was justified by genetic algorithm (GA) where observation showed how interdisciplinary work can occur because of crossover, and therefore, different groups of researchers could be identified. Further enhancement of the work has been focused on in this paper.

In continuation with the previous work, this paper detects other possible fields related to “high graded researchers” who can share the information with the other group of researchers (“imminent high graded” and “new researchers”) using particle swarm optimization (PSO) technique.

While exploitation was done using GA in the previous work, exploration is done in the current work based on PSO using the same grade score value to the objective function. Both the velocity and direction of high graded researchers in this extended work could be derived, which was not possible using GA.

This could help the next two levels of researchers (“imminent high graded researchers” and “new researchers”) in expanding their research fields in line with the fields of high graded researchers.

The purpose of this paper is to investigate the effect of including letter repetition commonly found within social media text and its impact in determining the sentiment scores for two major airlines in Malaysia.

A Sentiment Intensity Calculator (SentI-Cal) was developed by assigning individual weights to each letter repetition, and tested it using data collected from official Facebook pages of the airlines.

Evaluation metrics indicate that SentI-Cal outperforms the baseline tool Semantic Orientation Calculator (SO-CAL), with an accuracy of 90.7 percent compared to 58.33 percent for SO-CAL.

A more accurate sentiment score allows airline services to easily obtain a better understanding of the sentiments of their customers, hence providing opportunities in improving their airline services.

Proposed mechanism calculates sentiment intensity of social media text by assigning individual weightage to each repeated letter and exclamation mark thus producing a more accurate sentiment score.

The purpose of this paper, which is based on author's PhD study, is to assess the efficacy of Indonesia's credit card fraud prevention from a strategic point of view, using a model of payments fraud prevention practice developed by the author based on similar practices in the USA, the UK and Australia.

Primary and secondary data, particularly from the payments system of the USA, the UK, Australia and Indonesia were used. Such data were collected by means of literature reviews and in‐depth interviews with payments system professionals.

The author establishes that credit card fraud prevention practice in Indonesia is still at a lower level of robustness than those in the USA, the UK and Australia. Deficiencies in the credit card fraud prevention practice in Indonesia are indicated, inter alia, by a lack of reliable fraud data collection, management and distribution mechanisms as well as a lack of effective and efficient identity management practice. Deficiencies and weaknesses in the system should be identified and action taken to make it more consistent with credit card fraud prevention practices of other countries.

The paper sees credit card fraud prevention practice in Indonesia as a function of many factors which influence one another, based on which the analysis is built.

The purpose of this study is to determine the contamination level in natural water resources because the tremendous development in the agriculture sector has increased the amount of contamination in natural water sources. Hence, the water is polluted and unsafe to drink.

Three types of sensor arrays were suggested: parallel, star and delta. The simulation of all types of sensor array was carried out to calculate the sensors’ impedance value, capacitance and inductance during their operation to determine the best sensor array. The contamination state was simulated by altering the electrical properties values of the environmental domain of the model to represent water contamination.

The simulation results show that all types of sensor array are sensitive to conductivity, σ, and permittivity, ɛ (i.e. contaminated water). Furthermore, a set of experiments was conducted to determine the relationship between the sensor’s impedance and the water’s nitrate and sulphate contamination. The performance of the system was observed where the sensors were tested, with the addition of distilled water with different concentrations of potassium nitrate and potassium sulphate. The sensitivity of the developed sensors was evaluated and the best sensor was selected.

Based on the outcomes of the experiments, the star sensor array has the highest sensitivity and can be used to measure nitrate and sulphate contaminations in water.

The star sensor array presented in this paper has the potential to be used as a useful low-cost tool for water source monitoring.

This paper aims to propose and demonstrate a simple fiber optic sensor using a tapered plastic multimode fiber as a probe for measurement of calcium nitrate concentrations in de-ionized water.

The working mechanism is based on the observed increment in the transmission of the sensor that is immersed in calcium nitrate solution of higher concentration. The tapering of the plastic fiber is carried out by etching method using acetone, sand paper and de-ionized water.

Tapered fiber with diameter 0.45 mm gives the highest sensitivity of 0.028 mV/% due to better interaction between the evanescent field and the calcium nitrate solution with a good slope linearity of more than 98 per cent for a 1.07 per cent limit of detection in a straight probe arrangement. The use of calcium and nitrate ions within the sensing medium demonstrates the strong dependency of the sensor output trend on the electrolytic nature of the chemical solutions.

Demonstration of tapered plastic multimode fiber sensor probe for measurement electrolytic chemical solutions.

The aim of this study is to explore how women in Sri Lanka cultivate entrepreneurial personae to navigate the various gendered roles they situationally enact, as they attempt to secure legitimacy and acceptance and overcome their otherness. Drawing on Goffman's theorisation of symbolic interaction, this study investigates how gender informs the performance of entrepreneurship in Sri Lanka. In this way, the study engages with the challenges women in the Global South navigate while undertaking entrepreneurship, and it contributes to the critical entrepreneurship literature on the intertwined nature of gender and entrepreneurship.

Following feminist standpoint epistemology (FSE), this qualitative study focuses on women entrepreneurs in Sri Lanka by examining the performance of entrepreneurship through 44 life history interviews (LHIs) and 40 Field Observations conducted over a seven-month period.

The findings reveal that women carefully cultivate entrepreneurial personae by striking a balance between entrepreneurial ideals and patriarchal social expectations around womanhood. The findings of the study present how the entrepreneurial personae are constructed by way of appearance, mannerism and setting, which presents opportunities for future research to explore the dramaturgical aspect of gender and entrepreneurship.

This study contributes to the growing body of feminist research surrounding women entrepreneurs, by drawing on insights from the lived experiences of women entrepreneurs in the Global South. This study also expands Goffman's theorisation of audience segregation and shows that a subject's understanding of the audience shapes their personae. A further contribution of this research is how space becomes an extension of the personae at play.