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Keyword: NDICEnhancing the Network Anomaly Detection using CNN-Bidirectional LSTM Hybrid Model and Sampling Strategies for Imbalanced Network Traffic Data
The cybercriminal utilized the skills and freely available tools to breach the networks of internet-connected devices by exploiting confidentiality, integrity, and availability. Network anomaly detection is crucial for ensuring the security of information resources. Detecting abnormal network behavior poses challenges because of the extensive data, imbalanced attack class nature, and the abundance of features in…
Read MoreEnhancing Compressive Strength of Pervious Concrete for Use as Pavement Layer in Urban Roads Aper
South African Drainage and Stormwater Systems in urban roads has been of great concern, more so with recent flash floods in Gauteng and KwaZulu Natal Province in South Africa. Pervious concrete can be used to mitigate these challenges for urban roads. Pervious concrete is a concrete that contains no fines or only a small amount…
Read MoreImproved Candidate-Career Matching Using Comparative Semantic Resume Analysis
A resume is a prevalent and generally employed method for individuals to showcase their proficiency and qualifications. It is typically composed using diverse customized, personalized methods in multiple inconsistent formats (such as pdf, txt, doc, etc.). Screening candidates based on the alignment of their resume with a set of job requirements is typically a labori-…
Read MoreComparative Study of J48 Decision Tree and CART Algorithm for Liver Cancer Symptom Analysis Using Data from Carnegie Mellon University
Liver cancer is a major contributor to cancer-related mortality both in the United States and worldwide. A range of liver diseases, such as chronic liver disease, liver cirrhosis, hepatitis, and liver cancer, play a role in this statistic. Hepatitis, in particular, is the main culprit behind liver cancer. As a consequence, it is decisive to…
Read MoreFeedback Controller for Longitudinal Stability of Cessna182 Fixed-Wing UAVs
Unmanned aerial vehicles (UAVs) are becoming increasingly popular for both civil and military applications. Unmanned aerial vehicles can be categorized into two categories: rotary-wing and fixed-wing. Due to its capacity to fly long distances and carry substantial payloads, fixed-wing UAVs are gaining popularity and are currently utilized for various tasks. However, when confronted with disturbances…
Read MoreColorized iVAT Images for Labeled Data
A 2-dimensional numerical data set X = {x1,…,xn} with associated category labels {l1,…,ln} can be accurately represented in a 2-dimensional scatterplot where color is used to represent each datum’s label. The colorized scatterplot indicates the presence or absence of spatial clusters in X and any special distribution of labels among those clusters. The same approach…
Read MoreFuzzy MPPT for PV System Based on Custom Defuzzification
Due to the variations in weather conditions, photovoltaic systems adopt a technique based on maximum power point tracking to extract the maximal power of the solar module. In the literature, there are many different methods classical and intelligent of maximum power point tracking (MPPT). But, due to the semiconductor effect, the current-voltage characteristics of the…
Read MoreDoubling the Number of Connected Devices in Narrow-band Internet of Things while Maintaining System Performance: An STC-based Approach
Narrow-band Internet of Things (NB-IoT) is a low-power wide-area network (LPWAN) method that was first launched by the 3rd generation partnership project (3GPP) Rel-13 with the purpose of enabling low-cost, low-power, and wide-area cellular connections for the Internet of Things (IoT). As the demand for over-the-air services grows and with the number of linked wireless…
Read MoreSmart Healthcare Kit for Domestic Purposes
The COVID-19 pandemic has caused a substantial death toll throughout the world. The pandemic has created a threat to public health, the economy, food systems, and the workplace. An increased reprioritization of health expenditure towards COVID-19 vaccines will impact on allocations to other medical facilities. In developing countries, hospitals shortage the infrastructure to facilitate patients.…
Read MoreTunable Resistorless Phase Shifter Realization with a Single VDGA
This paper describes the design of a phase shifter with electrically adjustable parameters employing only one voltage differencing gain amplifier (VDGA) and one floating capacitor. This circuit requires no external resistors, resulting in a resistorless design and a low component count. The proposed circuit implements a first-order all-pass filter response with electronic control of its…
Read MoreLandmarking Technique for Improving YOLOv4 Fish Recognition in Various Background Conditions
The detection and classification of fish is a prevalent and fascinating area of study. Numerous researchers develop skills in fish recognition in both aquatic and non-aquatic environments, which is beneficial for population control and the aquaculture industry, respectively. Rarely is research conducted to optimize the recognition of fish with diverse backgrounds. This paper proposes a…
Read MoreAnalysis of Linear and Non-Linear Short-Term Pulse Rate Variability to Evaluate Emotional Changes during the Trier Social Stress Test
In conjunction with psychological stress, physiological indicators such as heart rate (HR) and heart rate variability (HRV) are frequently employed. This study uses a substitute for heart rate variability (HRV) known as short-term pulse rate variability (PRV) to evaluate emotional changes. We examined sixteen college students using a low-cost photoplethysmograph and obtained a short-term PRV…
Read MoreNavigation Aid Device for Visually Impaired using Depth Camera
People with visual impairment face daily struggle of navigating through unfamiliar places. This problem mainly caused by their lack of spatial awareness, i.e., the ability to estimate the distance between themselves and their surroundings. In order for visually impaired people to navigate independently, an effective navigation aid is required. The proposed navigation aid device utilizes…
Read MoreMarkov 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 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 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 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 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 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…
Read MorePerformance Adjustment Factor for Fixed Solar PV Module
There are different factors which contribute to the amount of output power which can be delivered by solar photovoltaic (PV) module at any time of the year. The factors include but not limited to solar irradiation, ambient temperature, relative humidity, wind velocity, position of sun in the sky, geographical position of installed solar PV module…
Read MoreIndoor Position and Movement Direction Estimation System Using DNN on BLE Beacon RSSI Fingerprints
In this paper, we propose a highly accurate indoor position and direction estimation system using a simple fully connected deep neural network (DNN) model on Bluetooth Low Energy (BLE) Received Signal Strength Indicators (RSSIs). Since the system’s ultimate goal is to function as an indoor navigation system, the system estimates the indoor position simultaneously as…
Read MoreHeuristic Analysis of Overall Performance Measurement Perception and Management in Automotive Industry
Overall Performance (OP) measurement is an essential instrument in sustainable manufacturing implementation and management. The effective use of key performance indicators (KPIs) can potentially contribute to identify the firm’s overall performance, provide the crucial gaps between desired results and current actions, and thus facilitate the implementation and execution of improvement strategies. This study attempts to…
Read MoreInterpretable Rules Using Inductive Logic Programming Explaining Machine Learning Models: Case Study of Subclinical Mastitis Detection for Dairy Cows
With the development of Internet of Things technology and the widespread use of smart devices, artificial intelligence is now being applied as a decision-making tool in a variety of fields. To make machine learning models, including deep neural network models, more interpretable, various techniques have been proposed. In this paper, a method for explaining the…
Read MoreSynthesis and Characterization of CN Thin Films Produced by DC-Pulsed Sputtering in an \(CH_3CH_2OH-N_2\) Atmosphere
This paper reports on the successful deposition of amorphous carbon nitride thin films (a-CNx). Samples were deposited using a DC-pulsed sputtering technique in CH3CH2OH-N2 atmosphere at constant pressure (1 Torr). Raman spectra were collected to investigate the bonding structure of the deposed thin films, while scanning electron microscopy (SEM) and atomic force microscopy (AFM) were…
Read MoreSpatio-Temporal Analysis of Drought over the Guinean-Sudano Ecological Zone, Northern Nigeria
Drought has become more common and severe in recent decades due to increased global changes in climatic conditions and anthropogenic activities thereby analyzing drought at both regional and local levels is crucial. And so, this study aims at assessing drought risk in Northern Nigeria using NDVI and SPI. Data used included satellite images (Landsat OLI-TIRS,…
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