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Articles 811 - 840 of 6294

Full-Text Articles in Engineering

Monitoring And Analysing Billboards On The Ring Road In Cairo To Promote Energy Saving Behaviour, Sherif Elsayed Elsaid Mohamed Jan 2025

Monitoring And Analysing Billboards On The Ring Road In Cairo To Promote Energy Saving Behaviour, Sherif Elsayed Elsaid Mohamed

Mansoura Engineering Journal

Billboards in Egypt are one of the means of outdoor advertising widely used on highways for commercial or governmental purposes, and their spread has been observed on the ring road in an unsystematic manner, in addition to the use of very many lighting units in all areas. These billboards result in the consumption of large amounts of electricity, in addition to the non-compliance of some of the commercial institutions that own these billboards with the security and safety requirements for the places where the billboard is installed, as well as the methods of construction and installation, in addition to the …

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Evaluating The Efficiency Of "Axial Roads"As A Tool For Increasing Connectivity In Mega Cities, A Case Study In Egypt – "Cairo New Axial Roads", Doaa Abd El Latif Mohammed, Marwa Mohamed Abbas, Nehal M. Elmahdy Jan 2025

Evaluating The Efficiency Of "Axial Roads"As A Tool For Increasing Connectivity In Mega Cities, A Case Study In Egypt – "Cairo New Axial Roads", Doaa Abd El Latif Mohammed, Marwa Mohamed Abbas, Nehal M. Elmahdy

Mansoura Engineering Journal

Mega cities always suffer from many problems concerning connectivity. Hence this research is trying to understand how axial roads can contribute in solving these problems. This Research aims at evaluating the efficiency of axial roads as a tool for increasing connectivity in mega cities in terms of three items ( Distance - Time- Traffic Congestion) This Research handles the topic in terms of three themes. First Theme Handles the axial roads, second theme handles Connectivity in cities, While third theme handles the analytical part by comparing between moving from one destination to another using the axial roads one time and …

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Achieving Urban Resilience Strategies For Cities, Rehab Abdelfatah Abdel Aziz. Mahmoud Jan 2025

Achieving Urban Resilience Strategies For Cities, Rehab Abdelfatah Abdel Aziz. Mahmoud

Mansoura Engineering Journal

The concept of the Resilient City is a relatively recent addition to urban planning discussions, gaining global attention due to the increasing need for cities to withstand urban, social, and environmental challenges. Urban resilience, alongside adaptability, plays a vital role in addressing these dynamic transformations. This research investigates how to implement urban resilience strategies to effectively respond to ongoing changes and sudden crises, such as terrorist attacks and natural disasters like floods, earthquakes, and hurricanes. The research identifies a critical gap in the absence of a comprehensive theoretical framework for evaluating the success of urban resilience strategies within cities’ planning …

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Towards A Framework To Integrate Smart Urban Agriculture Into City Planning In Egypt, Heba Adel Ahmed Hussein Jan 2025

Towards A Framework To Integrate Smart Urban Agriculture Into City Planning In Egypt, Heba Adel Ahmed Hussein

Mansoura Engineering Journal

This study discusses challenges facing the expansion of urban agriculture in Egypt, investigates overcoming these challenges using smart solutions, and proposes a framework to integrate smart urban agriculture (SUA) into Egyptian cities’ plans. The proposed framework provides an insight into the aspects that should be considered before, during, and after transformation to SUA. This study could serve as a basis for the integration of smart agriculture into urban planning theories and practices, and as an inspiration for urban planners, designers, landscape architects, policymakers, and decision-makers to create strategies for promoting digital transformation in Egyptian cities.

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Realization Of Water Tidal Datum Levels From Observed Sea Level Data In Damietta Harbor, Egypt, Mohamed M. Helmy, Amr N. Shokry, Mohamed M. Youssef, Ahmed M. Khedr Jan 2025

Realization Of Water Tidal Datum Levels From Observed Sea Level Data In Damietta Harbor, Egypt, Mohamed M. Helmy, Amr N. Shokry, Mohamed M. Youssef, Ahmed M. Khedr

Mansoura Engineering Journal

Sea level is an essential oceanographic parameter in hydrographic surveying that is always necessary for the realization of Chart Datum (CD). The International Hydrographic Organization (IHO) defines sea levels as those expected to occur under typical meteorological conditions, regardless of any possible combination of astronomical conditions. The current research focuses on analysing the observed sea level in Damietta Harbor, using two sets of sea-level records obtained from two sensors: a pressure sensor and a radar sensor. These records were collected from a tide gauge station located at Damietta Harbor from July 1, 2019, to March 2, 2020. Furthermore, harmonic analysis …

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Optimized Vgg16 For Multi-Class Classification Of Alzheimer's Disease, Amira M. Basuoni, Hussein Seleem, Amira S. Ashour Jan 2025

Optimized Vgg16 For Multi-Class Classification Of Alzheimer's Disease, Amira M. Basuoni, Hussein Seleem, Amira S. Ashour

Mansoura Engineering Journal

Alzheimer’s disease (AD) is a severe neurological disorder that leads to memory loss and other cognitive impairments, ultimately resulting in death. With the advancement of deep learning, several researchers implemented a deep learning (DL)-based classification system for diagnosing such disease. However, determining the proper setting of the parameters, like learning rate and the number of dense units in the classification model is essential to achieve the best performance. Although manual tuning and grid search methods may be used, they are often time-consuming and cannot achieve the optimal model’s design. Accordingly, this paper proposed an improved model of the Visual Geometry …

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Adaptive Watermarking Scheme For Enhanced Image Authentication And Restoration, Merna E. Ibrahim, Mohamed G. Abdelfattah, Mohamed A. Mohamed Jan 2025

Adaptive Watermarking Scheme For Enhanced Image Authentication And Restoration, Merna E. Ibrahim, Mohamed G. Abdelfattah, Mohamed A. Mohamed

Mansoura Engineering Journal

Traditional fragile watermarking schemes often struggle to balance tamper detection accuracy, image quality, and processing speed. This paper presents a novel adaptive fragile watermarking scheme that leverages Canny-edge detection to dynamically adjust watermark embedding based on image features. The proposed approach classifies image regions into smooth and dense areas. Larger 4×4 blocks are employed in smooth regions, prioritizing visual quality and processing speed, while smaller 2×2 blocks are used in edge and dense regions to enhance tamper detection accuracy. This adaptive strategy effectively balances competing factors, resulting in superior recovered image quality compared to fixed-block schemes. Experimental results demonstrate the …

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Ad2c-Sg-Tl: Alzheimer's Disease Detection And Classification Based On Stacked Generalization And Transfer Learning Approaches, Mariam Gamal Alboghdady, Amira Y. Haikal, Hesham H. Gad, Noha A. Sakr Jan 2025

Ad2c-Sg-Tl: Alzheimer's Disease Detection And Classification Based On Stacked Generalization And Transfer Learning Approaches, Mariam Gamal Alboghdady, Amira Y. Haikal, Hesham H. Gad, Noha A. Sakr

Mansoura Engineering Journal

Alzheimer's disease (AD) is a degenerative neurologic illness that causes brain atrophy and cell death. Although there is no cure for AD, diagnosing its onset can be very beneficial in the medical field.This paper presents a deep ensemble learning framework for classifying AD stages. Transfer learning (TL) is applied using eight pretrained convolutional neural networks (CNNs) (i.e., VGG16, VGG19, ResNet50V2, MobileNet, DenseNet121, DenseNet169, Xception and MobileNetV2). Stackedgeneralization ensembles techniques are used to provide greater generalization by combining finetuned models with five ensemble models. Using five different stacked ensembles (SE) models to improve the generalization.The ensemble model created by combining all …

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A Generalized Form To Some Classes Of Special Functions With Applications, I. L. El-Kalla, R. A. Abd El-Monem Jan 2025

A Generalized Form To Some Classes Of Special Functions With Applications, I. L. El-Kalla, R. A. Abd El-Monem

Mansoura Engineering Journal

Based on El-Kalla expansion theorem in [1], this paper introduces a new form of special function. Through this new form, some new results are obtained and the results in the literature are confirmed. The new function is simple in computations, and it could be used to solve some classes of integral equations.

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A Multi-Variate Rotating Machinery Fault Optimization And Recognition Framework, Ahmed M. Abdelrahman, Amira Y. Haikal, Mahmoud M. Saafan Jan 2025

A Multi-Variate Rotating Machinery Fault Optimization And Recognition Framework, Ahmed M. Abdelrahman, Amira Y. Haikal, Mahmoud M. Saafan

Mansoura Engineering Journal

Accurate diagnosis, prognosis, and forecasting of a machine's time-to-failure are crucial through the massive, profound monitoring parameters and expeditiously is essential to assist in the preservation of reliability and life remaining for the machine increase by recommending an appropriate decision to diminish the occurrence of ruinous malfunction and substantial financial losses proactively. Artificial intelligence is considered significantly crucial to specialists in diagnosing various faults. But all research, although have great accuracy, still till now have a lack on the number of considering parameters to achieve the diagnosis or prognosis.in addition to, it depends on repeat the processing for sensor reading …

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Incremental Metal Forming Of Functionally Graded Aluminum-Copper Composites: A Numerical Investigation By Finite Element Analysis, Abdallah A. Elsherbiny, Tawakol A. Enab, Abdelkhalik Eladl Jan 2025

Incremental Metal Forming Of Functionally Graded Aluminum-Copper Composites: A Numerical Investigation By Finite Element Analysis, Abdallah A. Elsherbiny, Tawakol A. Enab, Abdelkhalik Eladl

Mansoura Engineering Journal

Manufacturers aim to produce high-quality, cost-effective products through advanced material forming techniques. This study utilized ABAQUS® software to present and evaluate a finite element model for the incremental forming process of a functionally graded aluminum-copper material (Al-Cu FGM). The developed model incorporated the Lagrangian dynamic framework and the Johnson-Cook constitutive equation. The model enabled accurate estimation of forces, stress, and strain distributions during the incremental forming process of an Al-Cu FGM. The results demonstrated that the algorithm effectively predicted these critical characteristics, which are significant for optimizing manufacturing processes. Although the model successfully replicated the material's stress responses, further refinement …

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Merging Biophilic Design Approach Into University Learning Interior Spaces: An Applied Experience, Sara M. Atwa Jan 2025

Merging Biophilic Design Approach Into University Learning Interior Spaces: An Applied Experience, Sara M. Atwa

Mansoura Engineering Journal

Incorporating living elements into educational environments is a crucial matter, as many educational spaces are deprived of natural features. Designers should incubate this way of thinking to generate healthy and inspiring spaces for students. The biophilia hypothesis reveals that humankind has a genuine connection with the natural environment which makes us happier and healthier. Biophilic design has motivated architects to merge nature within the interior spaces using plants, reclaimed wood, water features, and daylight. Thereby, this manuscript debates that educational spaces – particularly in universities – requisite a sincere interaction with the nature environment by embracing biophilic design as an …

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Mathematical Modeling For Pile Yarn Length And Crimp Ratio In Woven Terry Fabric, Elham E. Elemam, Hamdy A.A. Ebraheem, Ahmed S. Eldeeb, Rehab Abd Elkhalek Jan 2025

Mathematical Modeling For Pile Yarn Length And Crimp Ratio In Woven Terry Fabric, Elham E. Elemam, Hamdy A.A. Ebraheem, Ahmed S. Eldeeb, Rehab Abd Elkhalek

Mansoura Engineering Journal

In this research, a mathematical model for predicting the consumed length and crimp ratio of pile warp yarns in woven terry towel fabrics was developed. The mathematical formulas interrelate the construction parameters of the woven terry fabric such as weave structure, weft count, weft density, counts of pile and ground warp yarns and loop length with the consumed length and crimp ratio of pile warp yarns. Experimental verification was conducted on nine terry cotton fabric samples produced with three different levels of weft density, weft count and loop length. Results showed that theoretical values highly corresponded to the measured values …

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Real-Time Intelligent Parking Management In Smart Cities Using Internet Of Things, Genetic Algorithms, And Machine Learning, Mohammed Abo-Zahhad, Mohammed M. Abo-Zahhad Jan 2025

Real-Time Intelligent Parking Management In Smart Cities Using Internet Of Things, Genetic Algorithms, And Machine Learning, Mohammed Abo-Zahhad, Mohammed M. Abo-Zahhad

Mansoura Engineering Journal

Smart city parking systems face significant challenges related to real-time availability updates, security vulnerabilities in RFID-based access, and connectivity issues. To address these limitations, this paper proposes a comprehensive two-stage intelligent parking system that integrates Internet of Things (IoT), Genetic Algorithms (GAs), and Machine Learning (ML) techniques. The system utilizes sensor technologies, such as infrared sensors and ESP8266 controllers, combined with a mobile application to monitor and manage parking space occupancy in real-time efficiently. In the first stage, real-time parking availability is detected through sensor data transmitted to a cloud infrastructure that updates the user interfaces. The second stage employs …

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Optimal Design Of An Off-Grid Hybrid Renewable Systems With Battery Storage For Rural Electrification Of Academic Community In Ibogun Campus, Nigeria, Ayodeji Akinsoji Okubanjo, Alexander Okandeji, Ignatius Kema Okakwu, Benjamin Akinloye, Abisola Olayiwola Jan 2025

Optimal Design Of An Off-Grid Hybrid Renewable Systems With Battery Storage For Rural Electrification Of Academic Community In Ibogun Campus, Nigeria, Ayodeji Akinsoji Okubanjo, Alexander Okandeji, Ignatius Kema Okakwu, Benjamin Akinloye, Abisola Olayiwola

Mansoura Engineering Journal

In an era where the debate on climate action has evolved from mere awareness to urgent implementation, energy-efficient management strategies are crucial. The energy mix, combined with optimal design of hybrid renewable energy systems, is a potential option to limit the increase in demand for fossil fuels and the climate issue. As a result, this study proposes an optimal design of hybrid renewable systems using technoeconomic criteria to meet load demand in the Department of Electrical and Electronics Engineering at Olabisi Onabanjo University. The model combines an off-grid energy alternative with a battery storage system. The primary goal is to …

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Optimum Design Of Three-Phase Wound Rotor Induction Machine Using Giant Trevally Optimizer Technique, D. El-Hassanein, Abd Al Rahman Amin, Eid Gouda, Mohamed F. Kotb Jan 2025

Optimum Design Of Three-Phase Wound Rotor Induction Machine Using Giant Trevally Optimizer Technique, D. El-Hassanein, Abd Al Rahman Amin, Eid Gouda, Mohamed F. Kotb

Mansoura Engineering Journal

Conventional sizing methods for electric machines often result in large dimensions, excessive weight, even when following correct design principles. In this paper promising Giant Trevally Optimizer “GTO” is employed as a swarm intelligence-based optimization algorithm inspired by the social behavior of giant trevally, to design a three-phase wound rotor induction machine “3WRIM”. The optimization process targets four key objectives: maximizing efficiency , and minimizing weight per kilowatt “ ”, temperature rise , and the no-load current to phase current ratio . These objectives are optimized both simultaneously and individually while adhering to a set of practical design constraints. To validate …

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Shear Strengthening Of Reinforced Concrete Beams Using Pre-Fabricated Ultra-High Performance Fiber Reinforced Concrete (Uhpfrc) Laminates: Experimental Investigation, Mostafa Khairy Elkady, Khalid Mohamed El-Sayed, Marwa Ibrahim Badawi, Gamal Ismaail Khaleel Jan 2025

Shear Strengthening Of Reinforced Concrete Beams Using Pre-Fabricated Ultra-High Performance Fiber Reinforced Concrete (Uhpfrc) Laminates: Experimental Investigation, Mostafa Khairy Elkady, Khalid Mohamed El-Sayed, Marwa Ibrahim Badawi, Gamal Ismaail Khaleel

Mansoura Engineering Journal

This study examines the effectiveness of prefabricated ultra-high-performance fiberreinforced concrete (UHPFRC) laminates in shear strengthening reinforced concrete (RC) beams. A total of nine reinforced concrete beams were cast and tested under a four-point loading till failure. The following key parameters were investigated: the number of strengthening sides, the thickness of the UHPFRC layer, the reinforcement of the strengthening layer (by using two different types of steel mesh, and also, in case of no-steel mesh), the volume fraction of steel fibers, and bonding schemes steel dowels and / or epoxy. The ultimate load and ductility of the strengthened beams have increased …

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Mxene-Based Materials For Enhanced Water Quality: Advances In Remediation Strategies, Ali Mohammad Amani, Milad Abbasi, Atena Najdian, Farzaneh Mohamadpour, Seyed Reza Kasaee, Hesam Kamyab, Shreeshivadasan Chelliapan, Mostafa Shafiee, Lobat Tayebi, Ahmad Vaez, Atefeh Najafian, Ehsan Vafa, Sareh Mosleh-Shirazi Jan 2025

Mxene-Based Materials For Enhanced Water Quality: Advances In Remediation Strategies, Ali Mohammad Amani, Milad Abbasi, Atena Najdian, Farzaneh Mohamadpour, Seyed Reza Kasaee, Hesam Kamyab, Shreeshivadasan Chelliapan, Mostafa Shafiee, Lobat Tayebi, Ahmad Vaez, Atefeh Najafian, Ehsan Vafa, Sareh Mosleh-Shirazi

Electrical & Computer Engineering Faculty Publications

Two-dimensional MXenes are promising candidates for water treatment because of their large surface area (e.g., exceeding 1000 m²/g for certain structures), high electrical conductivity (e.g., >1000 S/m), hydrophilicity, and chemical stability. Their strong sorption selectivity and effective reduction capacity, exemplified by heavy metal adsorption efficiencies exceeding 95 % in several studies, coupled with facile surface modification, make them suitable for removing diverse contaminants. Applications include the removal of heavy metals (e.g., achieving >90 % removal of Pb(II)), dye removal (e.g., demonstrating >80 % removal of methylene blue), and radioactive waste elimination. Furthermore, 3D MXene architecture exhibit enhanced performance in antibacterial …

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Précis Of The Edge Of Sentience: Risk And Precaution In Humans, Other Animals, And Ai, Jonathan Birch Jan 2025

Précis Of The Edge Of Sentience: Risk And Precaution In Humans, Other Animals, And Ai, Jonathan Birch

Animal Sentience

We often face grave practical decisions that seem to hinge on whether a system is sentient. This family of cases includes invertebrate animals, people who are unresponsive after brain injury, fetuses, neural organoids, and now AI technologies. We must decide what to do despite ongoing disagreement about the nature of sentience. In our state of uncertainty, we should pragmatically transform the question from “Is it sentient?” to “Is it a sentience candidate, an investigation priority, or neither?”. When a system is a sentience candidate, it is negligent to fail to consider precautions. We should instead evaluate precautions for their proportionality …

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Forgoing Nuclear: Nuclear Power Plant Closures And Carbon Emissions In The United States, Luke Petach Jan 2025

Forgoing Nuclear: Nuclear Power Plant Closures And Carbon Emissions In The United States, Luke Petach

Funded Scholarship

This paper examines the effect of nuclear power plant decommissioning on electricity generation and carbon emissions in the United States. Using data on nuclear reactor closures in the United States between 1993 and 2022 and data on state-level carbon emissions and electricity generation from the Energy Information Administration (EIA), this paper adopts a difference-in differences (DiD) approach to estimate the effect of nuclear decommissioning. Two-way fixed-effects (TWFE) DiD estimates suggest a nuclear plant closure increases annual state-level per capita carbon emissions between 6% and 8%. The increase in state-level carbon emissions is driven by a substitution toward fossil fuel electricity—particularly …

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Multifunctional Nanoscale Pigments: Emerging Risks And Circular Strategies For A Sustainable Future, Ajay Vikram Singh, Preeti Bhardwaj, Vimal Kishore, Sunil Choudhary, Akihiko Hirose, Neha Gupta, Madleen Busse, Swarn Lata Singh, Christopher J. Osgood Jan 2025

Multifunctional Nanoscale Pigments: Emerging Risks And Circular Strategies For A Sustainable Future, Ajay Vikram Singh, Preeti Bhardwaj, Vimal Kishore, Sunil Choudhary, Akihiko Hirose, Neha Gupta, Madleen Busse, Swarn Lata Singh, Christopher J. Osgood

Biological Sciences Faculty Publications

The substantial penetration of nanoscale pigments into a range of sectors has changed the dynamics of industries such as medical, material science, and many more. Nonetheless, their persistence in the environment and probable adverse impacts on health require that an assessment of such risks be formulated considering the One Health perspective. This viewpoint considers the crossing of boundaries of progress in the nanotechnology of nanoscale pigments with environmental, animal, and human health and emphasizes the significance of collaborative activity. Traditional perspectives explain the distribution of pigment history, while the nanotechnology of today's accessibility poses problems regarding utilization, toxicities, and interactions …

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Benchmarking Batch-Effect Correction Methods Towards The Construction Of A Triple-Negative Breast Cancer Cell Atlas, Peter Scheible, Amy H. Tang, Jing He, Jiangwen Sun Jan 2025

Benchmarking Batch-Effect Correction Methods Towards The Construction Of A Triple-Negative Breast Cancer Cell Atlas, Peter Scheible, Amy H. Tang, Jing He, Jiangwen Sun

Computer Science Faculty Publications

Triple-negative breast cancer (TNBC) requires detailed cellular mapping given its aggressive nature, immense tumor heterogeneity and genetic diversity. We integrated 156,794 cells from six scRNA-seq datasets—including tumors, metastases, and cell lines—to build a TNBC scRNA cell atlas, focusing on batch effect mitigation while maintaining biological and molecular details. Preprocessing f ilters noise, normalizes data, and leverages PCA for integration readiness. We utilized scANVI, a semi-supervised tool, to align datasets, preserving TNBC’s complex tumor heterogeneity via marker annotations [1]. UMAPs demonstrate biological clustering in integrated data, contrasted with datasetdriven unintegrated patterns. Assessments verifying effective batch correction. This method aligns with NASA’s …

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Impact Of Color, Shape, And Typeface On Visual Attention: An Eye Tracking Study On Brand Logo, Suzayana Rosidah, Fransiskus Xaverius Ivan, Suatmi Murnani, Hafzatin Nurlatifa, Kristian Adi Nugraha, Sunu Wibirama Jan 2025

Impact Of Color, Shape, And Typeface On Visual Attention: An Eye Tracking Study On Brand Logo, Suzayana Rosidah, Fransiskus Xaverius Ivan, Suatmi Murnani, Hafzatin Nurlatifa, Kristian Adi Nugraha, Sunu Wibirama

ASEAN Journal on Science and Technology for Development

In numerous cases, companies undertake logo redesigns to enhance brand perception. However, little attention has been paid to the impact of each element of the redesigned logo on visual attention and brand perception. To address this research gap, we collected data from eye tracking and self-report questionnaires of 30 participants during exposure to the old and new logos of a prominent bookstore in Indonesia. The results of the questionnaires revealed a significant relationship between the responses concerning color, shape, typeface, and those pertaining to visual attention (p < 0.05). Most participants were able to grasp the value of creativity, flexibility, progress, change, and strength in the new logo shape. The results of eye tracking show that color was the most influential factor that attracted visual attention in old (F(1.5, 43.4) = 14.905, p < 0.05) and new logos (F(1.7, 50) = 34.757, p < 0.05). This study suggests that companies should selectively choose a color scheme of a logo that better attracts the attention of consumers. In addition, our finding is promising as a practical guide for similar research, as well as a case study on how logo redesign affects brand perception and visual attention.

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Minimizing Cpu Utilization For Job Scheduling Problems By The Advanced Round Robin Method: A Pragmatic Perspective, Haribhau R Bhapkar, Pankaj R Chandre, Parikshit Mahalle Jan 2025

Minimizing Cpu Utilization For Job Scheduling Problems By The Advanced Round Robin Method: A Pragmatic Perspective, Haribhau R Bhapkar, Pankaj R Chandre, Parikshit Mahalle

ASEAN Journal on Science and Technology for Development

CPU scheduling issues include minimizing waiting time for processes, ensuring fairness in resource allocation, and optimizing throughput. Balancing these objectives can be challenging, as improving one aspect may negatively impact another, making it essential to design efficient scheduling algorithms. This work presents an innovative approach to enhance CPU utilization through the development of a Result-Based Round Robin Scheduling Algorithm. Traditional Round Robin Scheduling methods often face challenges in efficiently allocating CPU time, leading to suboptimal system performance. In response to these limitations, the proposed method introduces a result-oriented strategy that dynamically adjusts time quantum allocations based on the execution progress …

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Regulation Of Haemodynamic Variables By Laguerre Polynomials Based Model Predictive Control., Sai Sandeep Boda, Hiren Kumar G. Patel, Khyati D. Mistry Jan 2025

Regulation Of Haemodynamic Variables By Laguerre Polynomials Based Model Predictive Control., Sai Sandeep Boda, Hiren Kumar G. Patel, Khyati D. Mistry

ASEAN Journal on Science and Technology for Development

Purpose: Cardiac output (CO) and Mean Arterial Pressure (MAP) are two haemodynamic variables that need regulation in clinical situations, particularly in post-cardiac surgery patients. As it is difficult for clinical personnel to monitor continuously, automatic drug infusion to regulate MAP and CO is recommended and essential in the medical environment. Methods: Two input and two output patient model was used in this work to study the variation of haemodynamic variables in response to the infusion of Dopamine (DP) and Sodium Nitroprusside (SNP) drugs. Model predictive control (MPC) algorithm was exercised here as it was a well-established technique to regulate output …

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From Theory To Practice: Simulating Zero Trust Architecture With Python For Cybersecurity, Pankaj R. Chandre, Bhagyashree D. Shendkar, Sulochana Sagar Madachane, Nikita Kulkarni, Sayalee Deshmukh Jan 2025

From Theory To Practice: Simulating Zero Trust Architecture With Python For Cybersecurity, Pankaj R. Chandre, Bhagyashree D. Shendkar, Sulochana Sagar Madachane, Nikita Kulkarni, Sayalee Deshmukh

ASEAN Journal on Science and Technology for Development

The increasing complexity and frequency of cyber threats have necessitated the adoption of advanced security models, such as Zero Trust Architecture (ZTA). ZTA runs on the tenet that no entity whether inside or outside the network should be trusted by default, in contrast to conventional perimeter-based security solutions. This paper describes a thorough method for simulating and implementing Zero Trust Architecture in Python. We examine the essential elements and procedures of ZTA, such as identity verification, access control, and continuous monitoring, through a thorough analysis and step-by-step manual. The simulation shows how ZTA works to ensure strong network security and …

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Distance Metric Learning Techniques For The Performance Improvement Of Ml-Knn And Ranking-Svm-Based Multi-Label Pattern Classification, Shajee Mohan B. S., Sneha S Mohan Jan 2025

Distance Metric Learning Techniques For The Performance Improvement Of Ml-Knn And Ranking-Svm-Based Multi-Label Pattern Classification, Shajee Mohan B. S., Sneha S Mohan

ASEAN Journal on Science and Technology for Development

A multi-label pattern classification system tries to predict the set of class labels of a test example by learning from the training examples with the relevant label sets. Classification that involve datasets having multiple labels found immense of applications in pattern analysis tasks involving image, music and video. A test sample can be labeled to indicate different objects, people, music categories or concepts. Classification problems involving data having multiple labels, have to consider training dataset associated with variety of labels. Multi-label extensions of popular algorithms, kNN and Support Vector Machine (SVM) called Multi-label kNN (ML-kNN) and Ranking-SVM are commonly used …

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Solid Waste Management Strategies In Coastal Areas Affected By Seawater Flood Disaster, Adib Khoirul Anas, Maryono Maryono, Hartuti Purnaweni Jan 2025

Solid Waste Management Strategies In Coastal Areas Affected By Seawater Flood Disaster, Adib Khoirul Anas, Maryono Maryono, Hartuti Purnaweni

ASEAN Journal on Science and Technology for Development

Solid waste in areas affected by seawater floods must be handled specifically because people often dispose of solid waste on flooded land. This research aims to identify the performance of the community to manage solid waste and solid waste management strategy, solid waste measurement using SNI method 19-3964-1994. Analysis of land affected by seawater floods shows that 12 villages are flooded. Communities in coastal areas are not optimal in managing solid waste because the government has never given directions to manage solid waste in a good way, the facilities and marketing are inadequate so that solid waste is often not …

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Neuro-Symbolic Ai: A Future Of Tomorrow, Pankaj Chandre, Parikshit Mahalle, Gitanjali Shinde, Bhagyashree Shendkar, Shraddha Kashid Jan 2025

Neuro-Symbolic Ai: A Future Of Tomorrow, Pankaj Chandre, Parikshit Mahalle, Gitanjali Shinde, Bhagyashree Shendkar, Shraddha Kashid

ASEAN Journal on Science and Technology for Development

Neuro-Symbolic AI: A Future of Tomorrow" explores the convergence of neural learning and symbolic reasoning to advance artificial intelligence (AI) systems. Symbolic reasoning makes use of knowledge representation techniques and rule-based systems, whereas neural learning analyzes data using deep learning models. AI becomes more adept at fusing data-driven insights with deductive reasoning when these methods are integrated using hybrid models and differentiable reasoning techniques. Applications show enhanced diagnostic precision and decision-making skills in a variety of industries, including robotics, healthcare, and finance. To promote responsible AI development, regulatory frameworks and ethical principles address issues like bias and transparency. Future paths …

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Exploring Dynamics And Effective Strategies For Tidal Flood Risk Reduction In Indonesia's Coastal Cities, Satria Yudha Adhitama, Diana Puspitasari, Lucia Sandra Budiman, Azis Musthofa Jan 2025

Exploring Dynamics And Effective Strategies For Tidal Flood Risk Reduction In Indonesia's Coastal Cities, Satria Yudha Adhitama, Diana Puspitasari, Lucia Sandra Budiman, Azis Musthofa

ASEAN Journal on Science and Technology for Development

Indonesia’s coastal regions have distinct charateristics. However, nearly all of these coastal regions are vulnerable to tidal floods. The purpose of this study is to determine the features of coastal regions in Indonesia that have been damaged by tidal floods, as well as the actions implemented to mitigate disaster risk. Thus study takes a qualitiative method with explanatory analysis. The Island Spatial Planning is used to classify Indonesia’s archipelagic regions.An urban area vulnerable to tidal flood was selected from each archipelagic region. The characteristics of coastal regions affected by tidal flood were identified by the tidal flood characteristics, coastal physiography. …

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