Search results

The purpose of this paper is to introduce a novel intensity-modulated fiber optic sensor for real-time intrusion detection using a fiber-optic microbend sensor and an optical time-domain reflectometer (OTDR).

The proposed system is tested using different scenarios using person/car as intruders. Experiments are conducted in the lab and in the field. In the beginning, the OTDR trace is obtained and recorded as a reference signal without intrusion events. The second step is to capture the OTDR trace with intrusion events in one or multiple sectors. This measured signal is then compared to the reference signal and processed by matrix laboratory to determine the intruded sector. Information of the intrusion is displayed on an interactive screen implemented by Visual basic. The deformer is designed and implemented using SOLIDWORKS three-dimensional computer aided design Software.

The system is tested for intrusions by performing two experiments. The first experiment is performed for both persons (>50 kg) in the lab and cars in an open field with a car moving at 60 km/h using two optical fiber sectors of lengths 200 and 500 m. For test purposes, the deformer length used in the experiment is 2 m. The used signal processing technique in the first experiment has some limitations and its accuracy is 70% after measuring and recording 100 observations. To overcome these limitations, a second experiment with another technique of signal processing is performed.

The system can perfectly display consecutive intrusions of the sectors, but in case of simultaneous intrusions of different sectors, which is difficult to take place in real situations, there will be the ambiguity of the number of intruders and the intruded sector. This will be addressed in future work. Suitable and stable laser power is required to get a suitable level of backscattered power. Optimization of the deformer is required to enhance the sensitivity and reliability of the sensor.

The proposed work enables us to benefit from the ease of implementation and the reduced cost of the intensity-modulated fiber optic sensors because it overcomes the constraints that prevent using the intensity-modulated fiber optic sensors for intrusion detection.

The proposed system is the first time long-range intensity-modulated fiber optic sensor for intrusion detection.

The purpose of this paper is to identify the key drivers for adopting electronic bidding (e-bidding) systems in public construction projects located in Saudi Arabia.

Literature review was undertaken to identify the drivers of e-bidding practices. Nine drivers, classified under four categories, were identified. A questionnaire survey was developed to assess the significance of the identified drivers. Responses were obtained from 20 large contractors, classified as Grade I and II contractors in Saudi Arabia, and 12 governmental authorities, representing owners of construction projects. The drivers were ranked according to their respective significance index (SI) values. Finally, a Spearman’s rank correlation coefficient was employed to ascertain the extent to which the two parties agreed on the significance level of the drivers.

Analysis of the identified drivers revealed that the most significant driver was “reduction in the physical storage requirements of bidding paperwork.” Further, a consensus was observed with regards to the significance of the drivers. The findings of the present study highlight the strong potential of widespread e-bidding adoption in Saudi Arabia. It demonstrates the key drivers for the implementation of e-bidding through the perspective of professionals within the context of Saudi Arabia.

Prior to this study, no previous research has endeavored to assess the drivers of e-bidding adoption in Saudi Arabia. The adoption of e-bidding will benefit organizations through improved efficiencies, which could potentially lower construction costs, thereby contributing to economic growth and benefitting the society at large.

This paper provides an exemplary systematic conduct of post‐occupancy evaluation (POE) on higher education facilities in Saudi Arabia.

The research study utilized several qualitative and quantitative POE techniques which were systematically comprising (1) scoping and reviewing the facilities-related documents, (2) identification of performance indicators through the review of literature, (3) development and collection of questionnaire survey responses from stakeholders, (4) collection of physical measurements and (5) assessing the facilities by walk-throughs. Then, the data were analyzed and the findings were reported to representative samples of users through focus group meetings. Then, recommendations were drawn for improving the occupational conditions of the case study facilities.

The synthesis of literature led to three main categories of performance elements that are relevant for higher education facilities. These include technical, functional and behavioral elements, in which each of the elements has specific performance indicators, 97 in total. The research study exemplifies a systematic conduct of POE. The stakeholders' perspectives on the performance elements through surveys, measurements and walk-throughs were collected. The assessment led to recommendations toward satisfactory and quality occupation of the case study facilities.

This research aims to standardize POE by introducing its methods as a tool for evaluating higher education facilities and by elaborating the most prominent performance indicators for ensuring higher education core functions, namely, teaching, research and community collaboration.

This paper aims to study the impact of innovation climate (IC) on co-creating modular mass-customisation (CMMC) in terms of cost effectiveness, volume effectiveness, responsiveness, product modularity and collaborative assembly. Additionally, this research paper investigates the effect of IC and CMMC on the value to customer (VC) in a modular jewellery emerging market that includes international companies.

After conducting a comprehensive literature review, the authors suggested a conceptual framework and examined it using mixed methods approach. In addition to qualitative focus groups, questionnaires were filled – across five-point Likert scale format – through 63 depth interviews carried out with subject-matter-experts working at 14 international organisations in the Egyptian modular jewellery market. SmartPLS software was used for structural equation modelling analysis.

Results showed that CMMC positively and significantly affects VC. Furthermore, IC positively and significantly affects both CMMC and VC.

Recent industrial developments that can be observed in such international modular jewellery sector can be enhanced by the empirical evidence of this research regarding the importance of developing IC for more creative manufacturing approach of modular mass-customisation and better VC.

To the best of our knowledge, it is the first empirical study that investigates the relationship between CMMC, IC and VC in a unique jewellery market, which recently generated high customer involvement in the assembly/reassembly processes. Conceptually and empirically, it consolidates and adds to the literature of production and operations management (mass-customisation), organisational studies and innovation science (organisational climate for innovation) and applied social sciences.

This paper aims to examine bases of effectiveness in internal Shariah auditing undertaken in Islamic financial institutions (IFIs).

This paper is theoretical in approach taking, as its starting-point, an extensive literature review. From a general agency theory, an Islamic agency theory is articulated and then applied to ascertain attributes of internal Shariah audit effectiveness revolving around the concept of independence.

Effective internal Shariah auditing, as a mechanism of assuring Shariah compliance by IFIs, varies directly with the degree of independence enjoyed by internal Shariah auditors themselves. The research propounds that an articulated Islamic agency theory holds potential to serve as a theoretical foundation to build a multi-dimensional conceptual framework based on independence utile for evaluating internal Shariah audit effectiveness.

Evidence is drawn strictly from secondary sources.

To assure effectiveness of internal Shariah auditing, IFIs ought to increase the level of independence of internal Shariah auditors.

Internal Shariah audit effectiveness in IFIs has not been extensively studied in comparison with both studies of external Shariah audit effectiveness in IFIs and internal audit effectiveness undertaken by conventional financial institutions. This research fills that gap.

To investigate the adsorption behaviour and inhibitive effect of Vigna unguiculata (VU) extract (agricultural waste material) for aluminium corrosion in 0.5 M NaOH and H₂SO₄.

The inhibitive effect of the plant extract was assessed using weight loss method at 30 and 60^oC. The trend of inhibition efficiency with temperature was used to propose the mechanism of inhibition and type of adsorption.

VU extract effectively inhibited aluminium corrosion in both alkaline and acidic media. Inhibition efficiency (I %) of the extract increased with increase in concentration of the extract and temperature. Inhibitor adsorption characteristics were approximated by Freunlich and Temkin adsorption isotherms at all the concentrations and temperatures studied. The phenomenon of chemical adsorption is proposed from the activation parameters obtained.

The mechanistic aspect of the corrosion inhibition can be better understood using electrochemical studies such as polarization and AC impedance spectra.

The findings may be useful in metal surface anodizing and metal coating.

This paper provides new information on the possible application of VU extract as eco‐friendly inhibitor. It has not been reported elsewhere.

The purpose of this paper aims to design a robust wind turbine emulator (WTE) based on a three-phase induction motor (3PIM).

The 3PIM is driven by a soft voltage source inverter (VSI) controlled by a specific space vector modulation. By adjusting the appropriate vector sequence selection, the desired VSI output voltage allows a real wind turbine speed emulation in the laboratory, taking into account the wind profile, static and dynamic behaviors and parametric variations for theoretical and then experimental analysis. A Mexican hat profile and a sinusoidal profile are therefore used as the wind speed system input to highlight the electrical, mechanical and electromagnetic system response.

The simulation results, based on relative error data, show that the proposed reactive power control method effectively estimates the flux and the rotor time constant, thus ensuring an accurate trajectory tracking of the wind speed for the wind emulation application.

The proposed architecture achieves its results through the use of mathematical theory and WTE topology combine with an online adaptive estimator and Lyapunov stability adaptation control methods. These approaches are particularly relevant for low-cost or low-power alternative current (AC) motor drives in the field of renewable energy emulation. It has the advantage of eliminating the need for expensive and unreliable position transducers, thereby increasing the emulator drive life. A comparative analysis was also carried out to highlight the online adaptive estimator fast response time and accuracy.

This study aims to investigate how user-generated content (UGC) and firm-generated content (FGC) in social media affect attitudes toward halal tourism destinations, destination image and visit intentions among female Muslim (Muslimah) travelers. It also examines the role of travel habits as the moderating variable.

This study adopts the Theory of Interpersonal Behavior (TIB) and the Theory of Planned Behavior (TPB) to explore the motivation of Muslimah travelers to visit halal destinations. The survey was completed by 284 Indonesian Muslimah respondents who had visited halal tourism destinations in Indonesia. The SEM-PLS statistical technique was used to verify the associations between variables.

This study’s findings offer valuable insights for both theoretical understanding and practical applications. They suggest that both UGC and FGC significantly predict attitudes toward halal tourism and destination image, thereby influencing the visiting intentions of Muslimah travelers. Although UGC does not directly influence visiting intentions, it does play a significant role in shaping visiting intentions through its mediating effect on attitudes toward halal tourism destinations. In addition, the results indicate that habit positively moderates the relationship between attitudes toward halal tourism and visiting intentions.

This research contributes uniquely and significantly in two aspects. First, it merges the TIB with the TPB to elucidate the decision-making process of Muslimah travelers when selecting halal destinations. This integration illuminates new insights into the intentions of Muslimah tourists. Second, this study examines the respective influences of UGC and FGC on the visiting intentions of Muslimah travelers to halal tourism destinations. By comparing UGC and FGC, the research provides valuable insights into the decision-making processes of Muslimah tourists. Given Indonesia’s status as home to the largest Muslim population globally, this study offers a novel perspective on the traveling behavior of Muslimahs and practical recommendations for the Indonesian tourism sector in the establishment and promotion of Muslim-friendly destinations within the country.

The study aims to overview the different types of internal-led cyber fraud that have gained mainstream attention in recent major-value fraud events involving prominent Indian banks. The authors attempted to identify and classify cyber frauds and its drivers and correlate them for optimal mitigation planning.

The methodology opted for the identification and classification is through a detailed literature review and focus group discussion with risk and vigilance officers and cyber cell experts. The authors assessed the future of cyber fraud in the Indian banking business through the machine learning–based k-nearest neighbor (K-NN) approach and prioritized and predicted the future of cyber fraud. The predicted future revealing dominance of a few specific cyber frauds will help to get an appropriate fraud prevention model, using an associated parties centric (victim and offender) root-cause approach. The study uses correlation analysis and maps frauds with their respective drivers to determine the resource specific effective mitigation plan.

Finally, the paper concludes with a conceptual framework for preventing internal-led cyber fraud within the scope of the study. A cyber fraud mitigation ecosystem will be helpful for policymakers and fraud investigation officers to create a more robust environment for banks through timely and quick detection of cyber frauds and prevention of them.

Additionally, the study supports the Reserve Bank of India and the Government of India's launched cyber security initiates and schemes which ensure protection for the banking ecosystem i.e. RBI direct scheme, integrated ombudsman scheme, cyber swachhta kendra (botnet cleaning and malware analysis centre), National Cyber Coordination Centre (NCCC) and Security Monitoring Centre (SMC).

Structured and effective internal-led plans for cyber fraud mitigation proposed in this study will conserve banks, employees, regulatory authorities, customers and economic resources, save bank authorities’ and policymakers’ time and money, and conserve resources. Additionally, this will enhance the reputation of the Indian banking industry and extend its lifespan.

The innovative insider-led cyber fraud mitigation approach quickly identifies cyber fraud, prioritizes it, identifies its prominent root causes, map frauds with respective root causes and then suggests strategies to ensure a cost-effective and time-saving bank ecosystem.

This study aims to investigate students’ satisfaction, self-efficacy and perceived competencies in a ‘technical writing and communication skills’ course after the switch of teaching the course from face to face to fully online during and after COVID-19. The study also measured the Achievement of Accreditation Board for Engineering and Technology course learning outcomes (CLOs).

A descriptive cross-sectional survey design approach was adopted in this study. Students were asked to respond to an online survey after completion of the course to measure the target parameters. The data of 250 respondents, analyzed with IBM SPSS Statistics 28, show high scores on all constructs.

Statistically significant differences among gender, field of study, grade point average (GPA) level, type of school attended and attainment of English proficiency certificate were detected for students in terms of their baseline perceived competencies, achievement of CLOs and self-efficacy scores. In addition, gender, field of study, GPA and holding an international English proficiency certificate had statistically significant effect, whereas the academic level and type of school were insignificant.

First, the data had been collected through survey only. A limitation of this method is that there could be survey fraud. Second, as some respondents found the survey long, their responses might have been less reliable. Moreover, as the survey was entirely conducted online, this may have caused limited sampling, because some respondents are less likely to have internet access/disconnection and respond to online surveys. Furthermore, this research had focused on studying the impact of an online course on university students’ achievement in a Jordanian university, this limits the generalizability of the result to students of other levels and classes, or ones studying in other universities or living in different countries.

Because of its impact on effective teaching and achievement, educators need to pay much attention to self-efficacy when designing new curricula for different environmental contexts. Furthermore, it is apparent that some courses, such as “technical writing” can be taught fully online without affecting students’ performance and achievement. Because educators always look for ways that make teaching effective, they may need to consider online platforms for teaching specific courses, hence save time, effort and resources.

A course on technical writing and communication skills offered to undergraduate engineering and information technology students at Princess Sumaya University for Technology was switched from face to face to fully online modality during the COVID-19 pandemic in the period 2020–2021. The effect of such massive and sudden transformation on students’ achievement and satisfaction called for immediate scrutiny of the prospect and expectancy of online learning.