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Keyword: ROPerformance Evaluation of a Gamified Physical Rehabilitation Balance Platform through System Usability and Intrinsic Motivation Metrics
Motivation significantly influences the outcome in the rehabilitation of patients. Several developments have been made to assess and increase patient motivation by addressing factors linked to motivation such as the personality of the patient, professional administering rehabilitation, and the rehabilitation environment. The main objective of the study is to evaluate the reliability of a gamified…
Read MoreArtificial Neural Network Approach using Mobile Agent for Localization in Wireless Sensor Networks
Wireless sensor networks (WSNs) are having large demands in enormous applications for the decade. The main issue in WSNs is estimating the exact location of unknown nodes. All applications are dependent on the location information of unknown nodes in WSNs. Location information of mobile anchor node is used to estimate the location of unknown nodes.…
Read MoreThe Performance of Project Teams Selected Based on Student Personality Types: A Longitudinal Study
The use of heuristic methods in teaching is not possible without the cooperation of all or part of the students’ academic group. That is, the teacher who made the decision to apply the heuristic method de facto solves the issues of organizing project method in teaching. There are a large number of indications on the…
Read MoreElectronically Tunable Triple-Input Single-Output Voltage-Mode Biquadratic Filter Implemented with Single Integrated Circuit Package
This article proposes a compact and simple design of electronically adjustable voltage-mode biquadratic filter using fundamental active cell implemented on a single integrated circuit (IC) package as LT1228. The proposed circuit having triple inputs and single output (TISO) employs namely one resistor and two capacitors as the passive components. All the five possible biquadratic filtering…
Read MoreInvestigation of the LoRa Transceiver in Conditions of Multipath Propagation of Radio Signals
The article presents some results of the research of the LoRa module. These modules can be the basis of possible IoT technologies are implementing, providing enough good range of receiving and transmitting messages. The SX1276 transceiver has been testing to determine the signal loss in the propagation channel. These experiments took in a highly-populated Kyiv…
Read MoreFormal Proof of Properties of a Syntax-Oriented Editor of Robotic Missions Plans
This article copes with the formal verification of properties of the missions building module of PILOT’s software. PILOT is a language dedicated to remote control of robots. An incremental syntax-oriented editor was built in order to increase the dependability of PILOT’s missions and we showed that, under a maximum size of plan, this editor allows…
Read MoreSimulating Get-Understand-Share-Connect Model using Process Mining
This paper presents the method of simulating the personal knowledge management (PKM) processes, based on Get-Understand-Share-Connect (GUSC) Model, using real event logs data from an online learning platform. The method used in here is process discovery and conformance, which are the process mining techniques. Having the model proven at granular level of multi-agent system, this…
Read MoreSimulated IoT Based Sustainable Power System for Smart Agriculture Environments
In vital energy applications especially the agricultural environments, the service of adaptive power utilization plays an essential role in facilitating the usage of Internet of Things systems. Such environments are distinguished by the large range of lands where most of the region lacks the commercial power lines. Reaching some high or deep sensing points is…
Read MoreVariation in Self-Perception of Professional Competencies in Systems Engineering Students, due to the COVID -19 Pandemic
The objective of this article is to determine if the self-perception of professional competences has been affected, in systems engineering students, during the health emergency declared in Peru by Covid-19; The results will allow the public university of Peru to make corrective decisions and formulate proposals to improve the functioning of the variable under study.…
Read MoreUnderwater Computing Systems and Astronomy–Multi-Disciplinary Research Potential and Benefits
The Ocean plays an important role in hosting investigations in underwater astronomy and enabling the realization of new research prospects. This paper discusses synergistic prospects of the blue economy from the perspective of underwater astronomy and scientific inquiry, technological and economic development. The presented research investigates how the synergy enhances computing applications. The paper presents…
Read MoreClassifying Garments from Fashion-MNIST Dataset Through CNNs
Online fashion market is constantly growing, and an algorithm capable of identifying garments can help companies in the clothing sales sector to understand the profile of potential buyers and focus on sales targeting specific niches, as well as developing campaigns based on the taste of customers and improve user experience. Artificial Intelligence approaches able to…
Read MoreTransient Stability Enhancement of a Power System Considering Integration of FACT Controllers Through Network Structural Characteristics Theory
Modern power systems are topologically and structurally complicated due to their complex interconnections. Consequently, the complexity of the dynamic stability assessment be-comes more tedious, most especially, when considering a power electronics-based power system operating under faulty conditions. This paper, therefore suggests an alternative approach of Network Structural-Based Technique (NSBT) for the analysis and enhancement of…
Read MoreRedlich-Kister Finite Difference Solution for Solving Two-Point Boundary Value Problems by using Ksor Iteration Family
In this paper, we are concerned to investigate the efficiency of the second-order Redlich-Kister Finite Difference (RKFD) discretization scheme together with the Four Point Explicit Group Kaudd Successive Over Relaxation (4EGKSOR) iterative method for solving two-point boundary value problems (TPBVPs). In order to apply this block iteration to solve any linear system, firstly we discretize…
Read MoreThe Mediating Role of Entrepreneurial Orientation on the Knowledge Creation-Firm Performance Nexus: Evidence from Indonesian IT Companies
Disruptive innovation has created fast changes in the business environment and competition among companies, especially on information technology companies. Knowledge creation and entrepreneurial orientation are two variables that can improve firm performance. There is still limited study on how knowledge creation and entrepreneurial orientation both affects firm performance. This study aims to discuss how to…
Read MoreProcrustes Dynamic Time Wrapping Analysis for Automated Surgical Skill Evaluation
Classic surgical skill evaluation is performed by an expert surgeon examining an apprentice in a hospital operating room. This method suffers from being subjective and expensive. As surgery becomes more complex and specialized, there is an increase need for an automated surgical skill evaluation system that is more objective and determines more exactly the skills…
Read MoreActive Disturbance Rejection Control Design for a Haptic Machine Interface Platform
This paper proposes an active disturbance rejection control (ADRC) design for a haptic display platform structure. The motivation for the following scheme originates from the shortcomings faced by classical proportional integral derivative (PID) controllers in control theory. The ADRC is an unconventional model-independent approach, acknowledged as an effective controller in the existence of total plant…
Read MoreMethod of Technological Forecasting of Market Behaviour of R&D Products
The current concept of open innovation corresponds to the R&D products transfer model – “role changes”. One of the fundamental provisions of the model is that R&D products are considered for commercialization not only at the final stage of technological readiness, but at any of them. In today’s changing market environment, special attention is paid…
Read MoreGene Selection for Cancer Classification: A New Hybrid Filter-C5.0 Approach for Breast Cancer Risk Prediction
Despite the significant progress made in data mining technologies in recent years, breast cancer risk prediction and diagnosis at an early stage using DNA microarray technology still a real challenging task. This challenge comes especially from the high-dimensionality in gene expression data, i.e., an enormous number of genes versus a few tens of subjects (samples).…
Read MoreFerromagnetic Core Reactor Modeling and Design Optimization
This article presents an analytical model of a single-phase ferromagnetic core power in- ductor (reactor) based on a magnetic equivalent circuit (MEC). The MEC model consists of magnetomotive forces (MMFs) and reluctances for all flux paths: magnetic core and leakage flux paths. The MEC elements are found established on the characteristics of the ferromagnetic material…
Read MoreModel of Fish Cannery Supply Chain Integrating Environmental Constraints (AHP and TOPSIS)
This paper proposes a modeling framework (analytical modeling) for the case of fish cannery supply chain (FCSC) to optimize the environmental impact of the set of its processes; indeed, for our knowledge, there were few studies attempting to address this case study as a model of green supply chain. Implementation of the proposed model is…
Read MoreRecording of Student Attendance with Blockchain Technology to Avoid Fake Presence Data in Teaching Learning Process
University operational activities are a routine part of university operations and supervisory control and monitoring function. The low controlling and monitoring of operational activities can cause irrelevance in the teaching and learning process. A graduate may have a graduation document but has never attended the teaching and learning process. An official institution can issue this…
Read MoreA Recommendation Approach in Social Learning Based on K-Means Clustering
E-learning, among the most prominent modes of learning, offers learners the opportunity to attend online courses. To improve the quality of online learning, social learning through social networks promotes interaction and collaboration among learners. As part of the learning process management in these environments, the implementation of recommendation systems facilitates the provision of content adapted…
Read MoreEliminating Target Anopheles Proteins to Non-Target Organisms based on Posterior Probability Algorithm
Capturing similarity in gene sequences of a target organism to detect significant regions of comparison will most likely occur because genes share a related descendant. Local sequence alignment for the targeted organisms can help preserve associations among sequences of related organisms. Such homologous genes possess identical sequences with common ancestral genes. The genes may be…
Read MoreOptimal Hydrokinetic Turbine Array Placement in Asymmetric Quasigeostrophic Flows
The Coriolis force in the ocean at mid to high latitudes can cause significant deviation of flow over bottom topography, including formation of Taylor columns. Structures in a tidal zone will experience zero inertial current between every tidal change. Around periods of directional change, the Coriolis force may be tapped into for energy. Factors like…
Read MoreAn Enhanced Artificial Intelligence-Based Approach Applied to Vehicular Traffic Signs Detection and Road Safety Enhancement
The paper treats a problem for detection and recognition objects in computer vision sector, where researchers recommended OpenCV software and development tool, it’s several and better-remembered library resource for isolating, detecting, and recognition of particular objects, what we would find an appropriate system for detecting and recognition traffic roads signs. The robustness with optimization is…
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