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Keyword: FFAssessment 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 Machine Learning Model Performance in IT Project Cost and Duration Prediction
Traditional project planning in effort and duration estimation techniques remain low to medium accurate. This study seeks to develop a highly reliable and efficient hybrid Machine Learning model that can improve cost and duration prediction accuracy. This experiment compared the performance of five machine learning models across three different datasets and six performance indicators. Then…
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 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 MoreA Multiplatform Application for Automatic Recognition of Personality Traits in Learning Environments
The present work shows the development of a data collection platform that allows the researcher to collect new video and voice data sets in Spanish. It also allows the application of a standardized personality test and stores this information to analyze the effectiveness of the automatic personality recognizers concerning the results of a standardized personality…
Read MoreMultiple Criteria Decision-making: Risk Analyses for the Soft Target
This article focuses on risk analysis using a multi-criteria decision-making method. Due to many performed risk analyses for soft targets, we are constantly trying to find new methods for objective risk assessment. Many risk analyses are subjective, which is a problem when planning security measures and comparing results (different events, objects, places, etc.). In this…
Read MoreActive Simulation of Grounded Parallel-Type Immittance Functions Employing VDBAs and All Grounded Passive Components
This communication proposes a grounded immittance function simulator that, depending on the proper choice of the passive components, can simulate parallel-type impedances of the R-L, R-C, and L-C forms. Only two grounded passive components and two voltage differencing buffered amplifiers (VDBAs) are used to implement the suggested circuit. All three simulated equivalent elements, namely Req,…
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 MoreMulti-Layered Machine Learning Model For Mining Learners Academic Performance
Different colleges and universities have different approaches to dealing with low-performance learners. However, in most cases, analgesics do not deal with root problems. This research suggests a model of three layers of variables sequentially adaptable to a deep-root issue. The suggested model can identify early pupils who could be at risk because of inaccurate or…
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 MoreMetaheuristic Optimization Algorithm Performance Comparison for Optimal Allocation of Static Synchronous Compensator
The relevance of static synchronous compensator (STATCOM) controllers in controlling power network parameters is causing them to be included in contemporary networks. But for the intended objectives to be attained, the best device positioning and parameter settings are essential. This work compares the performance of the particle swarm optimization (PSO) and firefly algorithm (FA) in…
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 MoreAn Ensemble of Voting- based Deep Learning Models with Regularization Functions for Sleep Stage Classification
Sleep stage performs a vital role in people’s daily lives in the detection of sleep-related diseases. Conventional automated sleep stage classifier models are not efficient due to the complexity linked to the design of mathematical models and extraction of hand-engineering features. Further, quick oscillations amongst sleep stages frequently lead to indistinct feature extraction, which might…
Read MoreOn the Polytopic Modelling & Robust H∞ Control of Nonlinear Systems Subject to Cyber-attack: Application to Attitude Stabilization of Quadrotor
In the present contribution, a robust output H∞ control ensuring the stability, reliability and security for nonlinear systems when actuator attacks (data deception attacks) occur. A new design method based on the polytopic rewriting of the attacked system as an uncertain one subject to external disturbances will be detailed. Robust polytopic state feedback observer sta-…
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 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 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 MoreOptimizing Sensors Locations for Tsunami Warning System
To reduce the time necessary for determination of tsunami source parameters it is proposed to optimize the location of sensors system and to use only a part of the measured wave profile. Based on computation, it is possible to balance the number of sensors in use and the time period after the earthquake needed to…
Read MoreInterference-Aware Nodes Deployment of a LoRa-Based Architecture for Smart Agriculture in the Southern Region of Senegal
In Senegal, agriculture has always been seen as the foundation on which the socioeconomic development of the country rests. However, in the rural world, agriculture remains traditional at a time when the challenges of food self-sufficiency to accompany emergence are launched. In the southern part of Senegal commonly called Casamance, the abundance of rain makes…
Read MoreConsideration of Ambiguity in the Analysis Phase of Data Warehouses
We are interested in taking into account ambiguity in the analysis phase of data warehouses, using fuzzy logic. We want to offer decision makers the possibility of using natural language in this phase. We created in a previous work the Baccalaureate fuzzy data warehouse which we were able to query with seven natural language terms…
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