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Keyword: SEA Grounded Theory Approach to Digital Transformation in the Postal Sector in Southern Africa
This paper describes a qualitative research design adopted in this study guided by deployment of a Grounded Theory (GT) methodology which was deployed to synthesize literature on technology adoption and digital transformation with an objective of developing theory. The philosophical worldview adopted was interpretivism/constructivist of a qualitative grounded theory inductive (theory building) approach where secondary…
Read MoreFetal Electrocardiogram Extraction using Moth Flame Optimization (MFO)-Based Adaptive Filter
Effective Fetal Electrocardiogram (FECG) Extraction provides medical workers with precise knowledge for monitoring fetal health condition during gestational age. However, Fetal ECG Extraction still remains a challenge as the signal is weak and contaminated with noises of different kinds, more significantly maternal ECG. In this work, a new Moth Flame optimization algorithm (MFO)-based adaptive filter…
Read MoreImproved Detection of Advanced Persistent Threats Using an Anomaly Detection Ensemble Approach
Rated a high-risk cyber-attack type, Advanced Persistent Threat (APT) has become a cause for concern to cyber security experts. Detecting the presence of APT in order to mitigate this attack has been a major challenge as successful attacks to large organizations still abound. Our approach combines static rule anomaly detection through pattern recognition and machine…
Read MoreFactors Affecting Behavioural Intention to Shop in Self-Service Retail Case Study: JD.ID X Mart
This paper aims to measure the acceptance level of Indonesian customers to JD.ID X retail and to reveal the driving factors of behavioral intention to shop at the retail. JD.ID X is new retail that implements a new shopping technology called Just walk-out technology (JWOT) also known as retail without a cashier. JWOT is one…
Read MoreBlockchain Technology-Based Good Distribution Practice Model of Pharmacy Industry in Indonesia
Distribution is the main activity in integrated product supply chain management. In the pharmaceutical industry, the process of drug distribution is important because of the handling, storage, and distribution of medicinal products with good standards and quality. The problem that occurs in the pharmaceutical industry is the circulation of counterfeit drugs by related parties, for…
Read MoreDesigning and Implementation of an Intelligent Energy Management System for Electric Ship power system based on Adaptive Neuro-Fuzzy Inference System (ANFIS)
Artificial Intelligence (AI) is a promising trend in ship energy management systems (EMS). The motivations of this work are designing and implementation of an intelligent energy management system for ship’s electric power system based on an adaptive Neuro-Fuzzy Inference System (ANFIS) and the ship power source is an environmental friend system consists of proton exchange…
Read MoreVisual Saliency Detection using Seam and Color Cues
Human have the god gifted ability to focus on the essential part of a visual scenery irrespective of its background. This important area is called the salient region of an image. Computationally achieving this natural human quality is an attractive goal of today’s scientific world. Saliency detection is the technique of finding the salient region…
Read MoreAnalyzing the Adoption of E-payment Services in Smart Cities using Demographic Analytics: The Case of Dubai
This paper is an extension of previous research that has been done on factors affecting digital payment adoption in the UAE. This study focuses on analyzing which relevant demographic factors affect new e-payment technologies, mainly in the smart city Dubai, with more complexities and dynamics of variables that affect users’ behavior toward adopting new technologies.…
Read MoreChallenges in IoT Technology Adoption into Information System Security Management of Smart Cities: A Review
Sustainable urban development and utilization of Internet of Things (IoT) technology is driving cities globally to evolve into Smart Cities (SC). The power of IoT services and applications will enable public agencies to provide personalized services to the citizens and inevitably improves their much-needed quality of life. However, although the use of IoT technology proves…
Read MoreDesign and Implementation of an Ultrasonic Scanner Setup that is Controlled using MATLAB and a Microcontroller
This paper describes an experimental setup that employs ultrasound to scan an area. This method utilizes ultrasonic waves to scan the surface of a submerged object in a water-coupled medium. A pulse-echo mode is used, and quantitative data are collected at various positions using a two- dimensional automated table. A microcontroller controls the motion of…
Read MoreFuzzy Analytical Hierarchy Process and Fuzzy Comprehensive Evaluation Method Applied to Assess and Improve Human and Organizational Factors Maturity in Mining Industry
The literature shows a growing interest in taking into account human and organizational factors (HOFs) to achieve safe and successful human performance by reducing the risk of errors. In this sense, the concept of maturity models aims to help companies in the integration of these factors by assessing the current level of maturity and define…
Read MoreSuper Resolution Based Underwater Image Enhancement by Illumination Adjustment and Color Correction with Fusion Technique
In underwater photographs are look like low-quality images, the main reason is behind that due to attenuation of the propagated light, absorption and scattering effect. The absorption significantly reduces the light energy, while the dispersion causes changes in the light propagation path. They result in foggy appearance and degradation of contrast, causing misty distant objects.…
Read MoreFusion of Optical and Microfabricated Eddy-Current Sensors for the Non-Destructive Detection of Grinding Burn
A sensor fusion concept integrating the optical and microfabricated eddy-current sensor for the non-destructive testing of the grinding burn is reported. For evaluation, reference grinding burn with varying degrees are fabricated on 42CrMo4 tool steel cylinder. The complementary sensing nature of the proposed sensors for the non-destructive testing of the grinding burn is successfully achieved,…
Read MoreTexture Based Image Retrieval Using Semivariogram and Various Distance Measures
In a content-based image retrieval system(CBIR) feature classification,identification, and ex- traction play an important role. The retrieval of images using a single feature is a challenging task in CBIR systems. The high retrieval rates are reported based on combining multiple features, multiple algorithms and preprocessing steps, feature classification, and segmentation because the image retrieval are…
Read MoreSEA: An UML Profile for Software Evolution Analysis in Design Phase
Software evolution is one of the software process activities that occupies a major percentage of software development cost. Since requirements change continually and new technologies emerge, software should be adapted to satisfy these new changes to continue to survive. Despite software evolution being performed after software validation and deployment, software developers should predict at earlier…
Read MoreCombining ICT Technologies To Serve Societal Challenges
European counties continue to receive an increasing number of migrants and refugees from an also increasing number of both European and non-European countries. This results in a huge societal challenge which is societal inclusion of people speaking different languages and of diverse backgrounds. Key for their inclusion is job finding which comes with hurdles like…
Read MoreEvaluation of Personal Solar UV Exposure in a Group of Italian Dockworkers and Fishermen, and Assessment of Changes in Sun Protection Behaviours After a Sun-Safety Training
Solar ultraviolet radiation (UVR) is considered a relevant health risk for the workers of the maritime and port sectors, but scant data are available on actual exposure measured using personal dosimeters. Moreover, in outdoor workers sun protection habits are usually poor, while some promising data suggest that sun-safety campaigns can be effective in increasing self-protection…
Read MoreImproved Fuzzy Time Series Forecasting Model Based on Optimal Lengths of Intervals Using Hedge Algebras and Particle Swarm Optimization
Recently, numerous scholars have suggested fuzzy time series (FTS) models to forecast many different fields. One of the vital issues for high accurate forecasting in FTS model is method of partitioning in Universe of discourse (UoD). In this research, we propose a novel FTS model, which is established by using hedge algebra (HA) and particle…
Read MoreFault Diagnosis and Noise Robustness Comparison of Rotating Machinery using CWT and CNN
For systems using rotating machinery, diagnosing the faults of the rotating machinery is critical for system maintenance. Recently, a machine learning algorithm has been employed as one of the methods for diagnosing the faults of rotating machinery. This algorithm has an advantage of automatically classifying faults without an expert knowledge. However, despite a good training…
Read MoreRecording of Academic Transcript Data to Prevent the Forgery based on Blockchain Technology
Diploma certificate and transcript forgery is a serious issue in education. The government is still finding the best way to prevent and minimize this issue in the future. The diploma certificate and transcript are very easy to duplicate, not only from third parties. Even the university can easily produce a fake diploma certification and transcript…
Read MoreSIFT Implementation based on LEON3 Processor
This paper proposes a new method of implementation of the part of SIFT (Scale-Invariant Feature Transform) algorithm used to extract the feature of an image of a size 256×256 of pixels, which is mainly based on the using the LEON3 soft core processor .With this method it is possible to detect points of interest and…
Read MoreDeterminants that Influence Consumers’ Intention to Purchase Smart Watches in the UAE: A Case of University Students
It has been observed that the smartwatches have emerged quickly on the digital era with the ability to significantly influence daily life and improve users’ wellbeing, decisions, and behaviour. Nonetheless they are in their stages of adoption, smartwatches are marked the most widespread type of wearable technologies. Considering this, present work has been carried out…
Read MoreEvaluation of Facebook Translation Service (FTS) in Translating Facebook Posts from English into Arabic in Terms of TAUS Adequacy and Fluency during Covid-19
The study aims to verify the capacity of Facebook Translation Service in translating English Facebook posts into Arabic in terms of two criteria: adequacy and fluency in line with the Translation Automation User Society (TAUS) scales. To ensure consistency and objectivity as recommended by TAUS, six evaluators, native speakers of Arabic and near-native speakers of…
Read MoreWireless Sensor Networks Simulation Model to Compute Verification Time in Terms of Groups for Massive Crowd
Everyone needs fast response or output against its request or need. Therefore, technologies are used to make the processing fast and accurate according to our needs. But in some situations, still we need to do more. Especially, when we need to process a massive or huge crowd of people in limited time frame such as…
Read MoreAn algorithm for Peruvian counterfeit Banknote Detection based on Digital Image Processing and SVM
In this work we propose an algorithm for Peruvian counterfeit banknotes detection. Our algorithm operates in banknotes with 50, 100 and 200 soles denominations that were manufactured from 2009 onwards. This algorithm offers an automatic diagnosis based on digital image processing and support vector machines (SVM). Current Peruvian counterfeit detection systems are specially designed to…
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