Latest Issue
Volume 3, Issue 2
April 2024

Digital Technologies Research and Applications (DTRA) is a peer-reviewed open-access journal published two issues a year in English-language, providing researchers, scholars, scientists, and engineers throughout the world with the exchange and dissemination of theoretical and practice-oriented papers dealing with digital technologies and applications.

  • E-ISSN: 2754-5687
  • Frequency: Semiyearly
  • Language: English
  • E-mail: dtra@ukscip.com

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Latest Published Articles

Article

Raspberry-PI based Design of An Interactive Smart Mirror for Daily Life

The Internet of Things and spatial computing are increasingly popular in today's technological environment. These devices can sometimes produce counterproductive effects, complicating the interaction between non-expert end users and the device itself. In this paper, we propose a simple, user-friendly, and cost-effective configurable smart mirror, which can display usefully relevant real-time information. This system is designed based on a low-cost Raspberry Pi paired with an LCD screen. The system can connect with a personal computer (PC) through the IEEE 802.15 wireless communication protocol. The preliminary results in this paper show the intuitive usability of the device in daily life.

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Article

Enhancing Micro-Pump Efficiency: Multi-Objective Optimization of Low Voltage MEMS Switches for Drug Delivery Applications

This paper introduces an innovative approach for designing, optimizing, and simulating a low voltage MEMS switch specialized for micro-pump applications. The primary goal is to improve the efficiency of micro-pumps used in drug delivery. The design process focuses on tailoring the switch’s geometry for micro-pump purposes and employs objective functions encompassing actuation voltage, insertion loss in the up-state, and isolation in the down-state. To solve the intricate optimization task, mathematical programming is combined with the Multi-Objective Particle Swarm Optimization (MOPSO) meta-heuristic algorithm, enabling simultaneous consideration of actuation voltage, insertion loss, and isolation. By analyzing the Pareto front derived from these parameters, the study identifies design requirements and optimal levels for the switch. The proposed MEMS switch demonstrates remarkable performance metrics, including  and  values of –11.74 dB and –34.62 dB at 40 GHz, a pull-in voltage of 2.8 V, and an axial residual stress of 25 MPa. This research presents an innovative strategy for optimizing capacitive switch MEMS models, using a multi-objective approach and the MOPSO algorithm to enhance efficiency in micro-pump applications.

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Article

Developing Artificial Neural Networks and Highway Safety Manual Models for Predicting Accidents at Intersections in Bahrain

Intersections are among the places where the highest number of accidents occur, thus, studying their safety and considering countermeasures to increase their safety should improve the overall safety of a traffic system. Prediction models, such as Artificial Neural Networks, have not been used for planning purposes in terms of providing countermeasures for accidents. This shortcoming forces the practitioners to employ traditional statistical methods which may be less accurate and have restricted applications. Hence, the Artificial Neural Networks models of this study were developed with the application of suggested countermeasures. Their performance was also compared with the traditional method given in the Highway Safety Manual after calibrating the procedure for local conditions. In this study, the intersections with the highest reported accidents isn the Kingdom of Bahrain were analyzed. The data was taken for the years 2013–2016, courtesy of the data provided by the Bahrain General Directorate of Traffic. Using this data, two predictive Artificial Neural Networks models were developed and used to forecast the accident number and severity in these selected intersections. Four intersections were selected to showcase the findings and to study the potential countermeasures that can be applied to reduce the occurrence of accidents. The comparison between Artificial Neural Networks and Highway Safety Manual procedures showed that Artificial Neural Networks models were more convenient to use with generic applications to different types of intersections. Moreover, they also provided higher accuracy while the Highway Safety Manual model was found to be heavily dependent upon traffic demand, which greatly affected its accuracy. The countermeasures suggested in this study were shown to reduce the accidents at the selected locations.

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Review

Analysis of the Interaction Effects of Electromagnetic Fields with Major Living Tissues—One Health Concept Numerical Evaluation Strategy

The well-being and sociability of individuals have always been part of modernity. The development of new technologies that meet these aspirations is receiving increasing attention. Thus, strengthening the desired objectives of these technologies and minimizing their undesirable side effects is the subject of growing commitment. The present contribution aims, in this context, to evaluate and analyze the desired and undesirable effects of the interaction of electromagnetic fields with living tissues in general. These are routines based on mathematical modeling reinforcing the expected functions as well as those of control and protection against undesirable effects. These adverse effects correspond to the “One Health” concept, which encompasses the health of animals, plants and humans, as well as ecological disorders created by human activity. First, in this article, the interactions of electromagnetic fields with tissues are analyzed, involving their thermal biological effects of desired and undesired exposures. The roles of blood and sap fluids in bio-affected tissues are then analyzed. Secondly, the equations governing electromagnetics and bio-heat, as well as their coupled solution are studied. Third, the thermal behavior of tissues and the adverse effects of exposure are examined. Next, monitoring and defending the effects of exposures are discussed. This contribution, supported by a review of the literature, illustrates routines for mathematical modeling of the generalized interaction of electromagnetic fields with living tissues.

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Article

SchizoBot: Delivering Cognitive Behavioural Therapy for Augmented Management of Schizophrenia

According to WHO, about 1.86 million people in Nigeria and about 24 million people worldwide are living with schizophrenia, having symptoms varying from hallucination to delusion, and distorted speech and thinking. Schizophrenia is a life-long disorder with no cure and thus, patients need continuous management with medications and psychotherapy. However, due to various factors such as the cost of therapy, time consumption, lack of adequate health workers, the unwillingness of patients to engage, and the pandemic, there is a need for an effective alternate medium for providing cognitive behavioural therapy (CBT) to schizophrenia patients. This research aims to develop a chatbot, which is called SchizoBot, delivering CBT for augmented management of schizophrenia. CBT for schizophrenia details, along with FAQs of schizophrenia patients were collected and adopted into a conversational format for pre-processing and model development. The model was developed with artificial neural network (ANN) and trained with the dataset which was split into train-test data to optimize the performance of the model. The result of the ANN showed an accuracy score of 93.97% at 60:40 train-test data split with 200 epochs. This robust system which provides an optimized chatbot platform using ANN as the model classifier for CBT delivery is foreseen to be a windfall to clinicians and patients as an augmentative management tool for schizophrenia. This, therefore, is a relatively low-cost and easily accessible means to significantly improve the health of schizophrenia patients while assisting clinicians in therapy delivery and compensating for the lapses in the administration of CBT to schizophrenia patients.

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Article

Virtual Reality as a Tool for Children with Autism Spectrum Disorder

Children with an autism spectrum disorder tend to lose focus quickly. The possibility of displaying changeable, three-dimensional environments in virtual reality can increase the user's concentration time due to the stimuli used. Through the use of virtual reality, an individual assistant can be provided for the daily care and encouragement of learning for children with autism spectrum disorders. To investigate the feasibility of a virtual assistant and the acceptability of virtual reality among autistic children, a review of the literature and conducted studies is undertaken. The selection, identification and evaluation of the relevant research results is carried out according to the preferred reporting items of the systemic literature search.

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Article

Study on the Effect of Three-dimensional Reconstruction Technique Based on Human Gait Plantar Transient Data on Rehabilitation of Patients with Abnormal Foot Arch

This research employs non-contact plantar 3D data scanning and gait analysis methodologies to establish a rehabilitation assistance system tailored for foot arch anomalies. The system utilizes a non-contact plantar 3D data model to mitigate dysfunctions within the plantar skeletal-muscular system. Its objectives include facilitating personalized remote diagnosis of foot arch anomalies, enabling patients to monitor their rehabilitation progress, and supporting at-home rehabilitation efforts. A dataset comprising 124 cases of physiological foot arch anomalies in adults aged 18 and above was collected and analyzed. The findings demonstrate the system’s flexibility, high spatial resolution, personalization, and innovation. Notably, the system achieves real-time measurement of positive pressure and shear force distribution at the plantar interface, facilitates the construction of accurate geometric models, and yields high-quality plantar three-dimensional coordinate data. This research contributes theoretical and technical underpinnings for the application of footwork anomaly diagnosis and correction.

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