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Keyword: FutureMarkov Regime Switching Analysis for COVID-19 Outbreak Situations and their Dynamic Linkages of German Market
This paper deals with the analysis of the dynamic linkage, co-movement between COVID-19 out- break situations and German stock market. Firstly, Markov Regime Switching Analysis(MRSA) is proposed and employed to investigate the situations in the pandemic, as to catch the dynamics of how the daily number of the newly-infected changes, and also to assess the…
Read MoreThe First Application of the Multistage One-Shot Decision-Making Approach to Reevaluate a Technology Project Decision Problem
Decision-makers must make a suitable sequence of decisions under uncertainty in a relatively long period for particular projects and situations. Conventional decision-making approaches under uncertainty are based on expected utility theory and do not sufficiently reflect the one-time nature of decisions. Similarly, the conventional approaches do not adequately incorporate the decision-maker’s intuitions in the decision-analysis…
Read MoreChallenges Facing Solar Panel Energy Deployment within Qatari Homes and Businesses
Despite many factors conducive to renewable energy investment in Qatar (e.g., the fact that the state is a major gas exporter whose long-term prosperity depends on economic diversification), there is very low uptake of solar panel adoption among home and business owners. Major challenges implicitly face the deployment of solar and other renewables in Qatar,…
Read MoreNonlinear Model Predictive Control of Rover Robotics System
The paper presents two robust and efficient control algorithms based on (i) Optimal Control Allocation (OCA) and (ii) Nonlinear Model Predictive Control (NMPC). The robotics system consists of two rovers with mecanum wheels and mounted two 7-DOF arms carrying a common load. The overall system is an underdetermined one with non-holonomic constraints. The developed control…
Read MoreAnalysis and Trend Estimation of Rainfall and Seasonality Index for Marathwada Region
Droughts are undesirable and highly unwanted form of disasters. It is essential to analyse the cause of such extreme events and act accordingly to pave the way for a sustainable future. The present research work conducts a seasonality and trend analysis of rainfall over the eight districts of Marathwada region. The study is carried out…
Read MoreDesign of an Open Source Anthropomorphic Robotic Hand for Telepresence Robot
Most anthropomorphic robotic hands use a lot of actuators to imitate the number of joints and the movement of the human hand. As a result, the forearm of the robot hand has a large size for the installation of all actuators. This robot hand is designed to reduce the number of actuators, but also retain…
Read MoreTechnical Aspects and Social Science Expertise to Support Safe and Secure Handling of Autonomous Railway Systems
In recent years the development of autonomous vehicles has increased tremendously and a variety of methodologies had been applied to make them more safe and secure. This work shows a multilevel approach combining Failure Mode, Effects and Criticality Analysis of an autonomous railway system with sociological and technical aspects to support safe operations and human-machine…
Read MoreTransfer and Ensemble Learning in Real-time Accurate Age and Age-group Estimation
Aging is considered to be a complex process in almost every species’ life, which can be studied at a variety of levels of abstraction as well as in different organs. Not surprisingly, biometric characteristics from facial images play a significant role in predicting human’s age. Specifically, automatic age estimation in real-time situation has begun to…
Read MoreThe Perceptions of Students and Teachers When using ICTs for Educational Practices Matter: A Systematic Review
Before succumbing to the 2019 Coronavirus pandemic, information and communication technologies (ICTs) have sustained a ubiquitous presence in human lives and society. ICTs have changed the standards and dynamics of educational practices (EPs). Many academic institutions had already integrated technological-based pedagogical instructions into their educational practices but, in various cases, faced challenges of failing to…
Read MoreAssociation Rules for Knowledge Discovery From E-News Articles: A Review of Apriori and FP-Growth Algorithms
Owing to technological development, the internet has become the world’s largest platform where an unaccountable amount of e-news information is freely available to use. Most of the time, e-newspaper readers have to examine the massive collection of e-news articles to locate necessary information relevant to them. Massive semi-structured and unstructured texts usually mislead the readers…
Read MoreLong-term Bottom-up Modeling of Renewable Energy Development in Morocco
Renewable energy is an essential source of green growth for countries facing a shortage of fossil fuels. They offer a sustainable, inexhaustible, carbon-free solution to the future energy dependency of nations. Morocco, which has no traditional energy resources, depends entirely on the international primary energy market to meet its growing demand. For this reason, Morocco…
Read MoreOn the Prediction of One-Year Ahead Energy Demand in Turkey using Metaheuristic Algorithms
Estimation of energy demand has important implications for economic and social stability leading to a more secure energy future. One-year-ahead energy demand estimation for Turkey has been proposed in this paper, using the metaheuristics method with GDP, the total population, and the quantities of imports and exports, as inputs variables. The records obtained from historical…
Read MoreThe use of Integrated Geophysical Methods to Assess the Petroleum Reservoir in Doba Basin, Chad
Hydrocarbon exploration and production has been successful in the central region of Doba basin, Chad, north-central Africa. In order to optimize the hydrocarbon production in this area, the combination of seismic and well log datas have been processed and analyzed to better characterize, image and capture the reservoirs. The 3D seismic and well log datas…
Read MoreLeakage-abuse Attacks Against Forward Private Searchable Symmetric Encryption
Dynamic Searchable Symmetric Encryption (DSSE) methods address the problem of securely outsourcing updating private data into a semi-trusted cloud server. Furthermore, Forward Privacy (FP) notion was introduced to limit data leakage and thwart the related attacks on DSSE approaches. FP schemes ensure previous search queries cannot be linked to future updates and newly added files.…
Read MoreOpinion and Effectiveness of Kahoot! use in Online Distance Learning in Crop Production at Higher Education Level: A Case of Study
Kahoot is one of the most popular learning platforms, with over 2.5 billion players per year worldwide, used mainly for knowledge review through gamification. However, students´ opinion and its effectiveness in online distance learning as well as in another language teaching has been little studied. With these aims, this study was carried out in the…
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 MoreComparative Analysis and Modern Applications of PoW, PoS, PPoS Blockchain Consensus Mechanisms and New Distributed Ledger Technologies
Central authorities have registered economic transactions based on trust since the dawn of time. With the advent of paper, methods for documenting transactions and records became more difficult and detailed. With the widespread use of computers in recent years, digital recording has made record keeping easier and since then every technical advancement has made data…
Read MoreExtraction of Psychological Symptoms and Instantaneous Respiratory Frequency as Indicators of Internet Addiction Using Rule-Based Machine Learning
Internet addiction (IA) has adverse effects on psychophysiological responses, interpersonal relationships, and academic and occupational performance. IA detection has received increasing attention. Although questionnaires enable long-term assessment (over 6 months) and physiological measurements to aid the short-term evaluation (over 2 min) of IA, the lack of algorithms results in an inability to detect IA in…
Read MoreEmotion Mining from Speech in Collaborative Learning
Affective states, a dimension of attitude, have a critical role in the learning process. In the educational setting, affective states are commonly captured by self-report tools or based on sentiment analysis on asynchronous textual chats, discussions, or students’ journals. Drawbacks of such tools include: distracting the learning process, demanding time and commitment from students to…
Read MoreTraditional and Deep Learning Approaches for Sentiment Analysis: A Survey
Presently, individuals generate tremendous volumes of information on the internet. As a result, sentiment analysis is a critical tool for automating a deep understanding of user-generated information. Of late, deep learning algorithms have shown endless promises for a variety of sentiment analysis. The purpose of sentiment analysis is to categorize different descriptions as good, bad,…
Read MoreDevices and Methods for Microclimate Research in Closed Areas – Underground Mining
Technical safety and health are especially important for mining-extracting industry. Even though the respective lows and good engineering practices exist, technologies develop and could address even better security for humans and equipment. The research question is to survey microclimate sensors in underground mining and to find whether they are ready for automation. The article is…
Read MoreOptical Satellite Images Services for Precision Agricultural use: A Review
The recent advances in geoscience technologies and earth observation tools have evolved in recent years in a fast cadence. Since 1980 with the apparition of Landsat mission firstly named the Earth Resources Technology Satellite, with 80 m spatial resolution; the ability to capture finest details was limited. The emergence of new concepts in agriculture like…
Read MoreEffectiveness and Suitability of the Automotive EHPS Software Reliability and Testing
The effectiveness and suitability for the reliability and test of the embedded software of the automotive EHPS (Electrical Hydraulic Power Steering) pump are extensively explored in this paper. The Crow-AMSAA analysis has been applied to evaluate the embedded software reliability growth based on the failure data collected in the prototype phase and in the field.…
Read MoreActivity-Based Cost Estimation Model for The Extrusion of Variant Aluminum Profiles
A competitive manufacturing environment dictates to be conscious of the real cost of production to increase profitability, to have a precise cost estimation, and to avoid cost distortion. Activity-Based Costing (ABC) is one choice to achieve these objectives. This paper aims to build an ABC method, consequently, to explore its application for a local Aluminum…
Read MoreA Review on TAM and TOE Framework Progression and How These Models Integrate
The TAM is a model that is widely used to understand IT adoption and usage process accordingly and the reason for its popularity is that the model clarifies variances like behavioral intention (BI) relevant to IT appropriation and use over a broad range of settings. The model’s main factors for system use is perceived usefulness…
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