Special Issue on Innovation in Computing, Engineering Science & Technology 2022
Contents
Special Issue Editors
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Role: Guest Editor Department of Electrical Engineering, Chongqing University, China |
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Role: Guest Editor Department of Electrical Engineering, Chongqing Normal University, China |
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Role: Guest Editor Industrial Division, Universidad Tecnológica Metropolitana, Mexico |
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Role: Guest Editor Department of Robotics and Automation, Faculty of Manufacturing Engineering, Universiti Teknikal Malaysia Melaka, Malaysia |
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Role: Guest Editor Department of Electrical Engineering, College of Engineering, University of Hail, Saudi Arabia |
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Role: Guest Editor Engineering Technologies Department, John Abbott College, Canada |
Special Issue Information
The Special Issue on Innovation in Computing, Engineering Science & Technology 2022 invites original research articles, review papers, and applied studies addressing emerging innovations in computing technologies, engineering sciences, and intelligent digital systems. The issue focuses on the integration of computational intelligence, machine learning, automation, communication technologies, smart infrastructures, renewable energy systems, and advanced engineering methodologies to address complex industrial and societal challenges. Contributions related to artificial intelligence, IoT, cybersecurity, cloud computing, autonomous systems, blockchain technologies, intelligent transportation, digital healthcare, robotics, smart manufacturing, and sustainable engineering are particularly encouraged. The special issue aims to provide an interdisciplinary platform for researchers, engineers, scientists, and industry practitioners to present theoretical advances, simulation frameworks, experimental investigations, and real-world technological implementations that support adaptive, scalable, efficient, and resilient engineering ecosystems.
Manuscript Submission Overview
Submission Process
Manuscripts should be submitted online through the ASTESJ submission system by registering and logging in to the system. Once registered, authors may submit manuscript until the special issue deadline. All submissions that pass the initial editorial and technical screening are sent for independent external peer review. Accepted papers are published online after acceptance and listed together on the special issue website.
Research articles, review articles, and technical notes are invited. For planned papers, a title and short abstract of about 250 words may be sent to the Editorial Office for an initial scope check.
- You can download the Online Submission Guidelines for the step-wise submission process.
- During Online submission, authors must select Special Issue Paper from the Track menu and then select SI on Innovation in Computing, Engineering Science & Technology 2022 in Special Issue/Selection.
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Important Dates:
- Paper Submission Deadline: closed (August 30, 2022)
- Acceptance Notification: 4-6 weeks (after submission)
- Publication Date: 2 weeks after acceptance
Submitted manuscripts must not have been published previously and must not be under consideration for publication elsewhere, except where a related conference version is fully disclosed and properly extended. Authors should review the Instructions for Authors, Editorial Process, Publishing Ethics, Open Access Policy, and Publication Fee pages before submission.
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Submitted papers should be written in good English, use SI units where applicable, define abbreviations at first use, and provide enough technical detail for editorial screening and external peer review. Authors may use the ASTESJ template package when preparing revised or final files.
There is no submission fee. Article processing charges, discount options, waiver options, and any page charges are described on the Publication Fee page.
Benefits of Publishing in this Special Issue
- Focused visibility: accepted papers are grouped under a clearly defined ASTESJ special issue theme.
- Easy navigation: readers can access the special issue call, Special Issue Editors, topics, and published papers from one page.
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- Same journal standards: all submissions follow ASTESJ editorial screening, independent peer review, publication ethics, and final editorial decision rules.
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Special issue submissions follow the same editorial screening, independent peer review, publication ethics, and final decision standards as regular ASTESJ submissions. Guest Editor involvement does not guarantee acceptance and does not replace independent peer review or final editorial decision-making.
Published Papers (60 papers)

This special issue presents interdisciplinary research contributions focused on computing technologies, engineering science, and intelligent digital applications. The published papers investigate autonomous vehicle systems, cyber-attack analysis in power systems, renewable energy forecasting, smart grids, machine learning, telemedicine platforms, blockchain security frameworks, robotic systems, wireless communication, IoT architectures, healthcare analytics, smart agriculture, optical communication systems, computer vision, industrial automation, intelligent transportation, data mining, and cloud computing. Additional studies address signal processing, sustainable engineering, energy optimization, smart sensing technologies, localization systems, educational technologies, and cybersecurity applications. The issue demonstrates how the integration of computational intelligence, engineering methodologies, and digital infrastructures supports the development of adaptive, efficient, scalable, and sustainable technological solutions for modern industrial and societal challenges.
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Editorial Board
Editorial
Table of Contents
Development 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 MoreLung Cancer Tumor Detection Method Using Improved CT Images on a One-stage Detector
Owing to the recent development of AI technology, various studies on computer-aided diagnosis systems for CT image interpretation are being conducted. In particular, studies on the detection of lung cancer which is leading the death rate are being conducted in image processing and artificial intelligence fields. In this study, to improve the anatomical interpretation ability…
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 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 MoreMaintainability Improving Effects such as Insulation Deterioration Diagnosis in Solitary Wave Track Circuit
This paper is an extended version of the journal presented at ICECCME2021. In ICECCME2021, the authors presented that we have developed a solitary wave track circuit (SW-TC), and it is energy-saving compared to existing track circuits. Furthermore, we also explained that it can realize advanced train control at a low cost, equivalent to digital automatic…
Read MoreMatching TCP Packets to Detect Stepping-Stone Intrusion using Packet Crossover
Hackers on the Internet often send attacking commands through compromised hosts, called stepping-stones, for the purpose to be hidden behind a long interactive communication session. In a stepping-stone attack, an intruder uses a chain of stepping-stones as relay machines and remotely login these machines using a remote login program such as SSH (secure shell). A…
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 MoreOptimization of Query Processing on Multi-tiered Persistent Storage
The efficient processing of database applications on computing systems with multi-tiered persistent storage devices needs specialized algorithms to create optimal persistent storage management plans. A correct allocation and deallocation of multi-tiered persistent storage may significantly improve the overall performance of data processing. This paper describes the new algorithms that create allocation and deallocation plans for…
Read MoreAn Improved Model to Analyze the Impact of Cyber-Attacks on Power Systems
In this paper, an improved model has been proposed for investigating the impact of cyber-attacks on power systems regarding frequency disturbances and voltage disruption while changing the load called ICAPS. The proposed ICAPS model is formulated by five different controllers, such as LFC, AGC, AGC-PID, AVR, and AVR-PID, implemented in two sets of the system…
Read MoreAssessment of Electromagnetic-Based Sensing Modalities for Red Palm Weevil Detection in Palm Trees
In this paper, we investigate the utilization of three effective detection methods to identify potential threats of insects in date palm trees. The detection techniques presented here are the application of infrared radiation, microwave antennas and metamaterials based sensors. Experimental trials using IR radiation took place in a local farm. Moreover, the second sensing system…
Read MoreRegular Tessellation-Based Collective Movement for a Robot Swarm with Varying Densities, Scales, and Shapes
In complex swarm robotic applications that perform different tasks such as transportation and observation, robot swarms should construct and maintain a formation to adapt and move as a single large-scale robot. For example, transportation and observation tasks require unique robot swarms with either high densities to support the weight of the transported objects or low…
Read MoreAssessing the Impact of Integrating Solar PV System using the Equal Area Criterion Method
The impact of previous energy crisis gives an insight into what happens when the oil price crashes. Μany countries were affected due the slow reaction in boosting the economic growth in key sectors such as oil-importing activities and the economic restructuring progress to face the challenges. But the present energy crisis resulting from the COVID-19…
Read MoreAdvantages of 3D Technology in Stereometry Training
This paper presents a new software for stereometry training. Its name is StereoMV (Stereo Math Vision). It is results from a dissertation work on the topic “Stereoscopic Training System”. It introduces virtual reality systems that are both immersive and non-immersive. The difference between them is in the equipment and the stereo effect they offer. A…
Read MoreComputer Vision Radar for Autonomous Driving using Histogram Method
Mobility is a fundamental human desire. All societies aspire to safe and efficient mobility at low ecological and economic costs. ADAS systems (Advanced Driver Assistance Systems) are safety systems designed to eliminate human error in driving vehicles of all types. ADAS systems such as Radars use advanced technologies to assist the driver while driving and…
Read MoreARAIG and Minecraft: A Modified Simulation Tool
Various interruptions to the daily lives of researchers have necessitated the usage of simulations in projects which may not have initially relied on anything other than physical inquiry and experiments. The programs and algorithms introduced in this paper, which is an extended version of research initially published in ARAIG And Minecraft: A COVID-19 Workaround, create…
Read MoreProfiling Attack on WiFi-based IoT Devices using an Eavesdropping of an Encrypted Data Frames
The rapid advancement of the Internet of Things (IoT) is distinguished by heterogeneous technologies that provide cutting-edge services across a range of application domains. However, by eavesdropping on encrypted WiFi network traflc, attackers can infer private information such as the types and working status of IoT devices in a business or residential home. Moreover, since…
Read MoreGeneralized Linear Model for Predicting the Credit Card Default Payment Risk
Predicting the credit card default is important to the bank and other lenders. The credit default risk directly affects the interest charged to the borrower and the business decision of the lenders. However, very little research about this problem used the Generalized Linear Model (GLM). In this paper, we apply the GLM to predict the…
Read MoreA Proposal of Code Modification Problem for Self-study of Web Client Programming Using JavaScript
In current societies, web application systems take central roles in computer systems. Thus, web client programming using JavaScript has increased values to add dynamic features and functions in web pages by well working with HTML and CSS. In this paper, as a new type of exercise problem for its self-study, we propose a code modification…
Read MoreField Oriented Control and Commutation Based on Sensorless Methods for High-Speed Electrical Motors of Unmanned Multicopters
In recent years, unmanned aerial vehicles (UAVs), especially small and light multicopters driven by electrical motors and batteries, have experienced a boom in applications. The electrical drive system is a central component of these UAVs. This paper introduces the basics of these drives and presents control methods for them using permanent magnet synchronous motors (PMSMs).…
Read MoreµPMU Hardware and Software Design Consideration and Implementation for Distribution Grid Applications
This article presents a roadmap for distribution grid µPMU hardware and software design consideration and implantation to ensure high performance within limited computational time of sampling frequency 512 samples/cycle. A proposed 12 channels, multi-voltage level µPMU hardware and rules of voltage and current transducer, analog filter, analog-to-digital converter, sampling rate definition, and PCB design and…
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 MoreA Machine Learning Model Selection Considering Tradeoffs between Accuracy and Interpretability
Applying black-box ML models in high-stakes fields like criminology, healthcare and real-time operating systems might create issues because of poor interpretability and complexity. Also, model building methods that include interpretability is now one of the growing research topics due to the absence of interpretability metrics that are both model-agnostic and quantitative. This paper introduces model…
Read MoreFrequency Oscillation Suppression of Interlinked Solar PV-Thermal Power System using HVDC Link
This paper looks for the merging of solar PV power plant with thermal power generation and interlinked through tie-lines approaching into an interlinked PV-Thermal model for the design and analysis of load frequency controllers. Moreover, the different models of controllers are also proposed and tested to regulate the frequency of PV-Thermal interlinked system for a…
Read MoreThe Security of Information Systems and Image Processing Supported by the Quantum Computer: A review
The knowledge and understanding of the technology of quantum computers and their superiority over classical computers are still insufficient or uncertain for many communities of researchers, manufacturers, investors and the general public. For this reason, we try in this article to present and explain some of the basic concepts of quantum computers. We explain how…
Read MoreDEM models Calibration and Application to Simulate the Phosphate Ore Clogging
In different areas of industry (mining, food processing, pharmaceutical, manufacturing…), the problem of grain, aggregate and clusters flow arises during the handling activities especially loading and unloading. Thus, the study and control of the parameters that govern the flow of the granular medium and its interaction with its environment are key parameters to achieve the…
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 MoreA Cloud Telemedicine Platform Based on Workflow Management System: A Review of an Italian Case Study
The paper aims to describe a new technological and organizational approach in order to manage teleconsultation and telemonitoring processes involving a Physician, who remotely interacts with one or more Specialists, in order to evaluate and discuss the specific clinical conditions of a patient, based primarily on the sharing of digital clinical data, reports and diagnostic…
Read MoreA Self-Adaptive Routing Algorithm for Real-Time Video Transmission in VANETs
Given the strict Quality of Experience (QoE) and Quality of Service (QoS) criteria for video transmission, such as delivery ratio, transmission delay, and mean opinion Score (MOS), video streaming is one of the hardest challenges in Vehicular Ad-Hoc Networks (VANETs). Additionally, VANET attributes, including environmental impediments, fluctuating vehicle density, and highly dynamic topology, have an…
Read MoreMetamaterial-Inspired Compact Single and Multiband Filters
In this paper, Compact bandpass filters have been designed. A single bandpass filter was designed using novel triple concentric complementary split-ring resonators placed along the microstrip line in the ground plane. Gaps and via were placed on the microstrip line to control electromagnetic characteristics, resulting in a single bandpass filter. In turn, spiral resonators were…
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 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 MoreA Comparison of Cyber Security Reports for 2020 of Central European Countries
The aim of the article is to analyze the annual reports on cyber security of Central European countries, i.e. the Czech Republic, Slovakia, Poland, Germany, and Austria. The article focuses on the development of the state of cyber security, actors of threats in cyberspace, cyber threats, and the most common types of attacks. The article…
Read MoreSecured Multi-Layer Blockchain Framework for IoT Aggregate Verification
Technologies designed for digital provenance, especially the Internet of Things (IoT) and blockchain, may allow for security, transparency, and traceability in the global supply chain. However, upstream nodes in the supply chain that work for large-scale production suppliers are not considered. In addition, most IoT blockchain systems adopt an ID-based signature scheme that may affect…
Read MoreAutomatic Counting Passenger System using Online Visual Appearance Multi-Object Tracking
In recent years, people-counting problems have increased in popularity, especially in crowded indoor spaces, e.g., public transport. In peak hours, trains move significant numbers of passengers, producing delays and inconveniences for their users. Therefore, analysing how people use public transport is essential to solving this problem. The current analysis estimates how many people are inside…
Read MoreEstimating a Minimum Embedding Dimension by False Nearest Neighbors Method without an Arbitrary Threshold
The false nearest neighbors (FNN) method estimates the variables of a system by sequentially embedding a time series into a higher-dimensional delay coordinate system and finding an embedding dimension in which the neighborhood of the delay coordinate vector in the lower dimension does not extend into the higher, that is, a dimension in which no…
Read MoreRegularity of Radon Transform on a Convex Shape
Radon transform is a mathematical tool widely applied in various domains, including biophysics and computer tomography. Previously, it was discovered that applying the Radon transform to a binary image comprising circle forms resulted in discontinuity. As a result, the line detection approach based on it became discontinued. The d-Radon transform is a modified version of…
Read MoreAntenna System Design To Increase Power Transfer Efficiency with NFC Wireless Charging Technology
The NFC wireless charging feature is an extension of the NFC technology that can be implanted on wearables. The purpose of this paper is to show how to increase power transfer efficiency on both transmitter and receiver antenna systems. To demonstrate this problematic, firstly this paper gives an overview of how this NFC feature is…
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 MoreExtended Buffer-referred Prefetching to Leverage Prefetch Coverage
This paper is an extension of the work originally presented in the 26th International Con- ference on Automation and Computing. This study regarding hardware prefetching aims at concealing cache misses, leading to maximizing the performance of modern processors. This paper leverages prefetch coverage improvement as a way to achieve the goal. Original work proposes two…
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 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 MoreAutomated Robotic System for Sample Preparation and Measurement of Heavy Metals in Indoor Dust Using Inductively Coupled Plasma Mass Spectrometry (ICP-MS)
Dust is ubiquitous in our daily environment—outdoor and indoor. In modern times, people often spend the majority of their time at home, in offices, at work or in schools. Suspended particles such as tiny crumbs up to long fibers generate indoor dust deposits. Inhouse sources are the interior releasing abraded fibers from carpets, bedding and…
Read MoreScalability of Multi-Stage Nested Mach-Zehnder Interferometer Optical Switch with Phase Generating Couplers
A nested Mach-Zehnder interferometer (MZI) configuration whose phase shifters are placed in parallel is suitable for silicon-silica hybrid structure to realize a high-speed optical switch. Even when the signal wavelength deviates from an optimal wavelength, the crosstalk of the nested MZI optical switch can be suppressed by employing phase generating couplers (PGCs) in place of…
Read MoreModel Order Reduction and Distribution for Efficient State Estimation in Sensor and Actuator Networks
We present in this contribution the distribution of a global multi-input-multi-output system in a sensor and actuator network. Based on controllability and observability, the global system is decentralized and the system properties are preserved as a result. This results in multiple decentralized local single-input-single-output systems with the same system order as the global system. As…
Read MoreProcess Mining in Healthcare: A Systematic Literature Review and A Case Study
Process mining is an innovative technique through which inefficiencies in production systems can be eliminated. This technique has therefore become very important internationally in recent years and is also useful for pursuing the improvement of production systems by extrapolating process knowledge from event logs recorded by information systems. Process mining has easy application in production…
Read MoreDetection of Event-Related Potential Artifacts of Oddball Paradigm by Unsupervised Machine Learning Algorithm
Electroencephalography (EEG) is one of the most common and benign methods for analyzing and identifying abnormalities in the human brain. EEG is an incessant measure of the activities of the human brain. In contrast, when the measurement of EEG is bounded by time and the EEG is synchronized to an exterior stimulus, is known as…
Read MoreNatural Tsunami Wave Amplitude Reduction by Straits – Seto Inland Sea
Seto Inland Sea is situated between Japanese islands Honshu, Kyushu, and Shikoku. It is separated from the ocean by the Bungo Channel, Kii Channel, and other narrow straits around Shikoku Island. The objective of the article is to draw the attention to the question of how well the coastal population and infrastructure of those locations…
Read MoreBlockchain Applications in Suning and PingAn
The emergence of blockchain technology has facilitated the digital transformation of many businesses and thereby increased the competitiveness of China in the global market. As a cutting-edge technology, Blockchain has significantly influenced the practices across all business sectors. Focusing on the retail and insurance sectors, this paper analyzes the blockchain technology applications in two companies…
Read MoreDesigning the MIMO SDR-based Antenna Array for 5G Telecommunication
With the significant spread of 5G telecommunication systems, the demand for high quality of service and better coverage is growing rapidly. Multiple-input–multiple-output is planned to be among the key technologies in 5G telecommunication’s field. In this article, a new fully digital 2×2 MIMO testbed is implemented, using USRP B210 and 2 pairs of microstrip antennas…
Read MoreA Constrained Intelligent Nonlinear Control Method for Redundant Robotic Manipulators
Redundant robotic systems provide great challenges in solving kinematics and control problems, that are yet also open opportunities for exploring new, diverse and intelligent ideas and methods. In this paper, an advanced control method is proposed for position control problems of redundant robots with output constraints. The controller is structured with two control layers. In…
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 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 MoreEnsemble Extreme Learning Algorithms for Alzheimer’s Disease Detection
Alzheimer’s disease has proven to be the major cause of dementia in adults, making its early detection an important research goal. We have used Ensemble ELMs (Extreme Learning Models) on the OASIS (Open Access Series of Imaging Studies) data set for Alzheimer’s detection. We have explored various single layered light-weight ELM networks. This is an…
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 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…
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 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 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 MoreMobility Intelligence: Machine Learning Methods for Received Signal Strength Indicator-based Passive Outdoor Localization
Knowledge of pedestrian and vehicle movement patterns can provide valuable insights for city planning. Such knowledge can be acquired via passive outdoor localization of WiFi-enabled devices using measurements of Received Signal Strength Indicator (RSSI) from WiFi probe requests. In this paper, which is an extension of the work initially presented in WiMob 2021, we continue…
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…
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