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Keyword: ARInferring Student Needs Based on Facial Expression in Video Images
Limited interactive communication modes between students and teachers in online environments may lead to teachers misinterpreting or overlooking student needs during online teaching. Students learning online may also hesitate to make their needs known even when latent desires in teaching flow, pacing, and review, may be beneficial to the quality of the learning experience. The…
Read MoreAssessment of Scattered-Bend Loss in Polymer Optical Fiber (POF) Displacement Sensor
This work investigated the coupling behavior of the scattered-bend loss in displacement sensor during the bending of the fiber by using a multimode polymer optical fiber (POF). To utilize the scattered-bend effect for displacement measurement, a side coupling technique can be used by twisting a pair of POF fibers and bent the structure into a…
Read MoreHybrid Discriminant Neural Networks for Performance Job Prediction
Determining the best candidates for a certain job rapidly has been one of the most interesting subjects for recruiters and companies due to high costs and times that takes the process. The accuracy of the models, particularly, is heavily influenced by the discriminant variables that are chosen for predicting the candidates scores. This study aims…
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 MoreDevelopment and Analysis of Models for Detection of Olive Trees
In this paper, an automatic method for detection of olive trees in RGB images acquired by an unmanned aerial vehicle (UAV) is developed. Presented approach is based on the implementation of RetinaNet model and DeepForest Phyton package. Due to fact that original (pretrained) model used in DeepForest package has been built on images of various…
Read MoreDetecting the Movement of the Pilot’s Body During Flight Operations
This research presents a “Multi-camera for pilot’s cockpit measurement system”, which uses four multi-view images to eliminate the instrument and human body shielding and record the touched area. That could record the body reaction time (velocity and acceleration) and trajectory of the tested personnel. Real-time conversion of multi-view images corresponding to the 3D skeletal joint…
Read MoreOmni-directional Multi-view Image Measurement System in the Co-sphere Framework
This study presents an “Omnidirectional multi-view image measurement system”, which can be used to provide multi-camera 3D reconstruction and multi-view image information. Its characteristic is that four cameras take images from multiple perspectives in the co-sphere framework. The C0 is the middle camera fixed as the geometric center point of measurement, and provides a front…
Read MoreHybrid Intrusion Detection Using the AEN Graph Model
The Activity and Event Network (AEN) is a new dynamic knowledge graph that models different network entities and the relationships between them. The graph is generated by processing various network security logs, such as network packets, system logs, and intrusion detection alerts, which allows the graph to capture security-relevant activity and events in the network.…
Read MoreDevelopment of an Intelligent Road Anomaly Detection System for Autonomous Vehicles
Globally, road transportation has become one of the most reliable means of moving goods and services from one place to the other. It has contributed immensely to the standard of living and modern civilization. However, this means of transportation is characterised by some issues which are poised to be harmful to the human population if…
Read MoreNorthern Leaf Blight and Gray Leaf Spot Detection using Optimized YOLOv3
Corn is one of the most important agricultural products in the world. However, climate change greatly threatens corn yield, further increasing already prevalent diseases. Northern corn leaf blight (NLB) and Gray Leaf Spot are two major corn diseases with lesion symptoms that look very similar to each other, and can lead to devastating loss if…
Read MoreDismantle Shilling Attacks in Recommendations Systems
Collaborative filtering of recommended systems (CFRSs) suffers from overrun false rating injections that diverge the system functions for creating accurate recommendations. In this paper, we propose a three-stage unsupervised approach. Starts by defining the mechanism(s) that makes recommendation vulnerable to attack. Second, find the maximum-paths or the associated related items valued by the user. We…
Read MorePrototype to Identify the Capacity in Cybersecurity Management for a Public Organization
Public organizations are subjected to a complex security situation, which can be addressed by permanently strengthening and evaluating their cybersecurity capabilities. The objective of this research is to develop a model to identify the cybersecurity management capacity of public organizations. The deductive method was applied for the review and analysis of criteria, factors and variables…
Read MoreConception and Simulation of an Electronic Nose Prototype for Olfactory Acquisition
The “Electronic Nose” approach, which is exclusive to gas measurement systems, uses gas sensors as odor detectors. Design faults exist in the existing electronic nose (e-nose) chamber, such as its large volume, difficult construction, etc. In order to obtain measurements in a satisfactory state, we want to create a gas chamber that can provide favorable…
Read MoreIntegrated GIS-SUE Map Cost Estimation System Prototype for Designing a Decision Support System
Subsurface Utility Engineering (SUE) is an international model for mapping and classifying underground surfaces according to their accuracy (acquisition method). Utilizing Geographic Information System (GIS) to map and present the SUE levels paved the way for producing a new Decision Support System (DSS) for the utility mapping process. The proposed system represents an efficient tool…
Read MoreDesign, Optimization and Simulation of a New Decoder for Reed Solomon and BCH Codes using the New Syndromes Block
In this paper, a new syndrome block for Reed Solomon RS and BCH codes used respectively in digital Video broadcasting DVB-S and DVB-S2 has been presented in order to reduce the number of iterations compared to the existed block, which can be found in the literature, the new method is based on a factorization of…
Read MoreAn Efficient Way of Hybridizing Edge Detectors Depending on Embedding Demand
Edge detection-based image steganography schemes usually embed data in edge pixels only. However, some schemes embed data in non-edge pixels as well. In that case, the schemes embed more bits in the edges than in the smoothed areas. In all cases, the schemes perform large changes in a tiny area of the image during small…
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 MoreMeta-heuristic and Heuristic Algorithms for Forecasting Workload Placement and Energy Consumption in Cloud Data Centers
The increase of servers in data centers has become a significant problem in recent years that leads to a rise in energy consumption. The problem of high energy consumed by data centers is always related to the active hardware especially the servers that use virtualization to create a cloud workspace for the users. For this…
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 MoreDesign and Analysis of a Virtual Synchronous Generator Control Scheme to Augment FRT Capability of PMSG-Based Wind Turbine
Massive integration of inverter dominated renewable energy systems (RESs), i.e., wind turbines (WTs), reduces the reliance on conventional alternator-based power stations. The system inertia and damping aspects of the power system were significantly decreased by this extensive integration of inverter-based WT system, which impacts on the fault ride-through (FRT) competence and thus precipitates the frequency…
Read MoreOperating Systems Vulnerability – An Examination of Windows 10, macOS, and Ubuntu from 2015 to 2021
This study investigated the vulnerabilities of three operating systems: Windows 10, macOS, and Ubuntu. The analysis of secondary data obtained from the CVE and NVD databases for the study period demonstrates varying OS vulnerability. Quantitative assessment of the vulnerability (using the vulnerability score) for the investigated operating systems found consistent results in the security vulnerability…
Read MoreEmerging Trends in Green Best Practices and the Impact on Government Policy
While it is commonly accepted that climate change needs to be addressed to protect both human and environmental health, it is not widely understood what steps need to be taken to accomplish this daunting task. Additionally, there is currently no formal definition of what constitutes a ‘green’ company or ‘green’ best practice, despite the rising…
Read MoreEstimating Subjective Appetite based on Cerebral Blood Flow
This study aims to develop and validate a biological food preference task that simultaneously evaluates biological responses to visual stimuli of various food states and subjective evaluations of foods and to examine how these biological responses are related to food preference behavior. We recruited seventeen healthy male and female subjects to observe changes in cerebral…
Read MoreA Review of the Role of Information Technology in Brazilian Higher Educational Institutions during Covid-19 Pandemic
This paper presents the results of a documentary research on the use of information technology in emergency remote teaching in 66 higher educational institutions in Brazil. The theoretical background of this study is based on the works of Feenberg, Bagglaey, Veloso & Mill, Castañeda & Selwyn and Hodges. The methodological approach consisted of analyzing reports…
Read MoreBirds Images Prediction with Watson Visual Recognition Services from IBM-Cloud and Conventional Neural Network
Bird watchers and people obsessed with raising and taming birds make a kind of motivation about our subject. It consists of the creation of an Android application called ”Birds Images Predictor” which helps users to recognize nearly 210 endemic bird species in the world. The proposed solution compares the performance of the python script, which…
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