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Keyword: NeedAutomated Robotic System for Sample Preparation and Measurement of Heavy Metals in Indoor Dust Using Inductively Coupled Plasma Mass Spectrometry (ICP-MS)
Dust is ubiquitous in our daily environment—outdoor and indoor. In modern times, people often spend the majority of their time at home, in offices, at work or in schools. Suspended particles such as tiny crumbs up to long fibers generate indoor dust deposits. Inhouse sources are the interior releasing abraded fibers from carpets, bedding and…
Read MoreEncompassing Chaos in Brain-inspired Neural Network Models for Substance Identification and Breast Cancer Detection
The main purpose in this work is to explore the fact that chaos, as a biological characteristic in the brain, should be used in an Artificial Neural Network (ANN) system. In fact, as long as chaos is present in brain functionalities, its properties need empirical investigations to show their potential to enhance accuracies in artificial…
Read MoreCloud-Based Hierarchical Consortium Blockchain Networks for Timely Publication and Efficient Retrieval of Electronic Health Records
Blockchain technology is seeing a trend of popularity and adoption in many different application areas. One such area is healthcare, as there is a need to develop a system that can reliably store and share electronic health records (EHRs) among hospital-based health facilities. In this paper, we present a cloud-based hierarchical consortium blockchain framework for…
Read MoreCOVIDFREE App: The User-Enabling Contact Prevention Application: A Review
The use of Covid-19 contact tracing applications has become almost irrelevant now that several flavors of Covid-19 vaccine have been developed and are constantly being distributed to people during the pandemic to help alleviate the need for lockdowns. Also, the availability of at-home testing kits and testing sites means that people do not need to…
Read MoreForensic Analysis of “WhatsApp” Artifacts in Android without Root
WhatsApp application is considered the largest messaging application around the world and an important source of information, they just incorporated a new technique that operates on end-to-end encryption, which presents a significant problem for forensic investigators and analysts. This study describes how to recover the encryption key from WhatsApp to decrypt WhatsApp databases and retrieve…
Read MoreA Unified Visual Saliency Model for Automatic Image Description Generation for General and Medical Images
An enduring vision of Artificial Intelligence is to build robots that can recognize and learn the visual world and who can speak about it in natural language. Automatic image description generation is a demanding problem in Computer Vision and Natural Language Processing. The applications of image description generation systems are in biomedicine, military, commerce, digital…
Read MoreOn the Construction of Symmetries and Retaining Lifted Representations in Dynamic Probabilistic Relational Models
Our world is characterised by uncertainty and complex, relational structures that carry temporal information, yielding large dynamic probabilistic relational models at the centre of many applications. We consider an example from logistics in which the transportation of cargoes using vessels (objects) driven by the amount of supply and the potential to generate revenue (relational) changes…
Read MoreTaxonomy of Security Techniques for Routing Protocols in Mobile Ad-hoc Networks
The Nodes equipped with wireless technology cooperate in an autonomous and instantaneous way to form a mobile ad hoc network. It turns out that several factors make this type of network vulnerable to various security threats. Considering the sensitivity of user data routed through nodes, routing security should be a priority in mobile ad hoc…
Read MoreAutomated Hydroponic System using Wireless Sensor Networks
Researchers have associated agriculture and food processing with adverse environmental impacts like; falls in the underground freshwater table, energy consumption, and high carbon emission. These factors have the worst effect on developing countries. Therefore, there is a need for on-demand food production techniques that require minimum resource utilization. For these reasons, scientists are now focusing…
Read MoreEthical Implications and Challenges in using Social Media: A Comprehensive Study
The technological revolution penetrates every aspect of our dailylives; it changed our lives in different fields such as communication, decision-making, information access and work environment. These changes have benefits, but they also have costs. These costs include many ethical and social problems that need more investigation. The human element is the most affected part of…
Read MoreAnalysis of Reading Time and the Number of Characters within One Gazing Point
Concomitant with the ubiquity of lightweight electronic terminals, such as smartphones and tablets, e-books have increased in popularity. However, studies have shown that their display method and information-presentation efficiency need improvement. We investigated visual information processing during reading to develop a more efficient display method that presents information in an easier to see fashion than…
Read MoreIntermediation in Technology Transfer Processes in Agro-Industrial Innovation Systems: State of Art
Considering the importance of addressing innovation issues that impact the development of economic sectors, this document presents the research work aimed at establishing a state of the art related to technology transfer and intermediation issues, which can be adopted in the innovation systems. In this case, the agro-industrial innovation system is taken as a reference…
Read MoreAntecedents to Learners’ Satisfaction with Serious Games: An Investigation Using Partial Least Square
Serious games are at the forefront of discussions about the future of learning. Research shows that they can help improve student motivation and knowledge transfer by making learning experiences more pleasurable. Teaching practices are increasingly enhanced or complemented by serious games; skills and knowledge are developed by recreating realistic situations allowing learners to enhance their…
Read MoreLean Six Sigma Implementation in the Food Sector: Nexus between Readiness-Critical Success Factors
Lean Six Sigma (LSS) is a renowned approach for boosting operational excellence and competitive advantage through integrated core objectives of value creation and variation reduction. Despite its proven benefits in many leading companies, LSS implementation in the food sector is still behind compared with other sectors. LSS implementation is costly, and most businesses have failed…
Read MoreEnhancing Decision Trees for Data Stream Mining
Data stream gained obvious attention by research for years. Mining this type of data generates special challenges because of their unusual nature. Data streams flows are continuous, infinite and with unbounded size. Because of its accuracy, decision tree is one of the most common methods in classifying data streams. The aim of classification is to…
Read MoreiDRP Framework: An Intelligent Malware Exploration Framework for Big Data and Internet of Things (IoT) Ecosystem
The Internet of Things (IoT) is at a face paced growth in the advanced Industrial Revolution (IR) 4.0 in the modern digital world. Considering the current network security challenges and sophistication of attacks in the heavily computerized and interconnected systems, such as an IoT ecosystem, the need for an innovative, robust, intelligent and adaptive malware…
Read MoreDevelopment of Miniaturized Monolithic Isolated Gate Driver
Gate driver has been applied in many ways, exemplified by that, by using the DC-isolated and AC-pass characteristics of gate driver’s primary and secondary sides, the problem of floating endpoint in semiconductor power switch can be solved. However, the conventional design of isolated gate driver provides circuit voltage blocking by optically coupled components. Due to…
Read MoreA Summary of Canonical Multivariate Permutation Entropies on Multivariate Fractional Brownian Motion
Real-world applications modelled by time-dependent dynamical systems with specific properties such as long-range dependence or self-similarity are usually described by fractional Brownian motion. The investigation of the qualitative behaviour of its realisations is an important topic. For this purpose, efficient mappings from realisations of the dynamical system, i.e., time series, to a set of scalar-valued…
Read MoreApplication of Geographic Information Systems and Remote Sensing for Land Use/Cover Change Analysis in the Klip River Catchment, KwaZulu Natal, South Africa
Ladysmith is a major economic hub in the uThukela District Municipality. However, it has been experiencing floods almost every year which has resulted in the loss of lives and disruption of business activity within the Ladysmith Central Business District. The main objective of this study was to quantify the land use/cover changes before and after…
Read MoreAutomated Agriculture Commodity Price Prediction System with Machine Learning Techniques
The intention of this research is to study and design an automated agriculture commodity price prediction system with novel machine learning techniques. Due to the increasing large amounts historical data of agricultural commodity prices and the need of performing accurate prediction of price fluctuations, the solution has largely shifted from statistical methods to machine learning…
Read MoreThe Gamification Design for Affordances Pedagogy
This study aims to design a gamification affordances pedagogy. Affordances are the ways in which we perceive environments to support the needs of learners in the educational system. The main questions are how gamification elements can influence student engagement to improve their affordances. Affordance behavior is a human behavior that refers to a mindset; an…
Read MoreWeb-based Remote Lab System for Instrumentation and Electronic Learning
Lab sessions in Engineering Education are designed to reinforce theoretical concepts. However, there is usually not enough time to reinforce all of them. Remote and virtual labs give students more time to reinforce those concepts. In particular, with remote labs, this can be done interacting with real lab instruments and specific configurations. This work proposes…
Read MoreIndustrial Engineers of the Future – A Concept for a Profession that is Evolving
Just as industry is dynamic, constantly evolving according to the state of technology, economics, politics and so on, so must be, higher education. Studies have shown that higher education, for the past century, has constantly adapted to the dynamic skill and knowledge requirements of industry. This adaptation, however, is not always timeous and precise resulting…
Read MoreThe Operational Performance of Mass Transportation Before Covid-19 and New Normal Life: Case Study BRT TransJateng, Central Java
This article examines the operational performance of Bus Rapid Transit (BRT) before the pandemic and a new normal life. Overview of BRT operational performance in terms of the number of passengers transported, load factor and operating ratio. The method used is to compare the conditions before the pandemic and the new era of life. The…
Read MoreSmart Mobility: Opportunities and Challenges for Colombian Cities
The following document analyzes the current situation in mobility and intelligent transportation in Colombia and in some cities around the world. Presenting several cases of success and implementation of technologies and protocols that seek to improve the problems with the greatest impact in today’s cities, such as traffic congestion, environmental impact, accessibility, and road safety.…
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