Architecture Commons^™

The Felt City : Sensory–Cognitive Mapping Of Urban Atmospheres In Izmir, Turkey, Çağla Duygu Üstün, Fatma Ipek Ek

NAKHARA (Journal of Environmental Design and Planning)

This study investigates the multi-sensory atmospheric qualities of two pedestrian corridors in İzmir, Turkey—Kıbrıs Şehitleri Avenue and Bornova Street—and examines how sensory input interacts with emotional and cognitive processes in shaping urban experience. Using a mixed-methods approach, the research combines an online questionnaire (n = 120) for case selection with in-situ aesthetic fieldwork based on guided walks and semi-structured elicitation (n = 20). The analytical framework is based on Böhme’s concept of atmosphere generators and is further extended through the notion of moodmosphere to capture cognitive–affective interpretations such as memory, attachment, and personal associations. Within this framework, the felt city …

Interchangeable Sensorial Encounters With Nature In Older Adults’ Domestic Space In Indonesia, Paramita Atmodiwirjo, Ruth Kartika Purnasasmita, Paramita Atmodiwirjo, Yandi Andri Yatmo, Demet Dincer

NAKHARA (Journal of Environmental Design and Planning)

This study investigates how older individuals encounter nature through sensorial contact in their domestic settings. It argues that nature should be integrated into the older adults’ domestic spaces to foster connections with nature that promote active living and improve their well-being. Such interactions with nature are captured by understanding the relationships between the degrees of connection with nature: viewing nature, being in nature, and doing in nature. This study was conducted through field observations and interviews with 24 older adults with varying physical capacities and levels of independence across 15 households in Jakarta and West Java. It further maps the …

Integrating Bangkok’S Western Canals For Micro-Mobility And Last-Mile Connectivity : A Spatial Analysis Of Man-Powered Paddle-Boat Movement, Sasima Chaichulee, Puntra Amphan, Parthorn Satitanon, Pasinee Jongraktanakit, Patiphol Yodsurang

NAKHARA (Journal of Environmental Design and Planning)

This study presents an intentionally extreme analytical scenario to expose gaps in urban mobility planning by evaluating the potential of Bangkok’s western canal system to function as vernacular micro-mobility infrastructure for last-mile connectivity. The research provides the first empirical survey of canal-based mobility conducted using self-owned, man-powered paddle boats operated by local residents, generating primary data on everyday waterborne movement. Using geotagged field surveys and GIS-based spatial analysis, the study maps boat activity, access landings, navigability constraints, and connectivity to public transport. The results reveal concentrated corridors of active vernacular mobility alongside extensive segments constrained by sedimentation, fragmented hydrology, and …

Green Project Finance For Infrastructure And Building Construction: Instruments And Benchmarks, Yunping Liang

Durham School of Architectural Engineering and Construction: Faculty Publications

It is counterintuitive that both the practice and research on green project finance for infrastructure and building construction are ascendant and still have limited precedents, considering that individually, the two parts (i.e., project finance and sustainability in the built environment) are both familiar to the communities. To narrow the gap and facilitate the financing of the built environment’s sustainable transformation, this study systematically reviews the common instruments for financing green infrastructure and building projects. Benchmarking questions distinguishing the profile of green project finance from common construction project finance are developed based on the literature review and then are used for …

Ultrabaroque Grandeur: Examining The Churrigueresque In Spanish Architecture From The Seventeenth And Eighteenth Centuries, Sarah Staeben

Capstone Showcase

Following the Protestant Reformation, Spain was in a unique position compared to the rest of Europe. The importance of Catholicism was intrinsic to Spanish society by this point, as it was under King Ferdinand and Queen Isabella, aptly dubbed the Catholic Monarchs, that the Christians reconquered the Iberian peninsula in 1492, after an eight century rule by Arab-Muslims. In the centuries that followed, Spanish architecture reached new levels of grandeur in the wake of reformed Catholic doctrine. Following the motto “docere, delectare, movere”(to teach, to delight, to move), architects were urged to convey the Church’s power and garner new supporters. …

Building Design - Bsc App Tools For Noise Control And Room Acoustics, Jens G. Pohl

Architecture

Relationship to Building Science (BSc) App: In the domain of Building Science (BSc), this paper focuses on building design principles related to sound environments that are conducive to comfortable speech communication and the enjoyment of music. It provides direct access to a BSc App that offers more than 420 calculation and information functions in the entire range of building science areas, comprising daylighting, artificial lighting, noise control, room acoustics, climate and thermal comfort, solar energy, and structural systems (https://research.chobugroup.com/buildingscience/analyzer/).

Information Content: The paper briefly explains the principles of physics that underlie the propagation of sound at a level that is …

Building Design - Bsc App Tools For Thermal Comfort, Control, Heat Flow And Solar Energy, Jens G. Pohl

Architecture

Relationship to Building Science (BSc) App: In the domain of Building Science (BSc), this paper focuses on thermal comfort fundamentals, climate concepts and design principles, and solar energy opportunities that should be considered during the early stages of building design. It provides direct access to a BSc App that offers more than 420 calculation and information functions (https://research.chobugroup.com/buildingscience/analyzer/) in the entire range of building science areas, comprising daylighting, artificial lighting, noise control, room acoustics, climate and thermal comfort, solar energy, and structural systems.

Information Content: The paper briefly explains the principles of biology and physics that underlie thermal comfort at …

The Impact Of 'Decent Life' Initiative On Sustainable Urban Development: Abu Galal Village In Egypt As A Case Study, Sally Hassan Abd-Elazim, Sherif Ahmed Sheta, Medhat Ahmed Shaban

Mansoura Engineering Journal

The “Decent Life” Initiative aims to enhance living conditions and support sustainable urban development in Abu Jalal village, Sherbin city, Dakahlia Governorate, Egypt. The research aims to assess the effectiveness of the 'Decent Life' initiative in promoting sustainable urban development in Egyptian villages, focusing on improving its mechanisms for future use and maximizing benefits in other villages facing similar challenges.. The research employs various methods, including surveys and questionnaires targeting local residents, evaluation based on SDG 11, and GIS software for spatial analysis. Research identifies key areas of improvement across housing, healthcare, transport, education, infrastructure, job opportunities, disaster resilience, waste …

Computer Aided Detection System For Liver Cancer Using Computed Tomography Images Based On Artificial Intelligence, Noha Saad Badrawy, Hanan M. Amer, Apeer T. Khalil

Mansoura Engineering Journal

The prevalence of liver cancer has surged in Egypt and worldwide, leading to increased use of AI for tumor detection and diagnosis. The objective is to boost accuracy and minimize errors in manually classifying liver images, a task that is laborious and time-consuming. This study seeks to create a high-performance system for detecting liver tumors in Computed Tomography "CT" scans, utilizing Convolutional Neural Networks "CNNs" and machine learning, which are prevalent in biomedical imaging. With a dataset of 9,255 CT images, the research involves three steps. First, three deep learning models are compared: that Liver Tuned High-Resolution Network (LTHR-Net), Deep …

Proposing A Selective Sub-Tool To Activate The Role Of Parks In Achieving The Resilience Of Egyptian Cities, Mohamed E. Elattar

Architectural Engineering

No abstract provided.

Business Model Evaluation Of Renewable Energy Community In Multi Unit Residential Building In Canada Net Metering, Considering The Regulatory Framework, Ownership And Organizational Structure, Zahra Keshavarz Moraveji, Yunping Liang, Ursula Eicker

Durham School of Architectural Engineering and Construction: Faculty Publications

Renewable Energy Community (REC) is an emerging concept that empowers local customers to generate decentralized renewable energy. Integrating RECs into the building industry presents a promising opportunity to support the transition toward net-zero cities. However, the viability of RECs depends on regional regulatory frameworks, permitted governance structures, and very importantly, business models. Compared to pioneering European countries, Canada lacks the regulatory support needed to fully enable REC. This paper proposes and evaluates various business models for potential REC implementations under Canada's existing regulatory constraints. The analyzed models focus on "behind-the-meter" electricity distribution, a multi-stakeholder type of REC, where generation occurs …

Damming Human Rights: The Lower Sesan 2 Dam, Shannon Eva Labuschagne

University of San Francisco Law Review

No abstract provided.

Lilly Reich: La Mente Detrás Del Mobiliario Moderno Que La Historia Olvidó, Noa Llanas Angrill

GDI. Revista de investigación de Género, Diseño e Innovación

La historia ha sido escrita desde una perspectiva que se ha invisibilizado las contribuciones femeninas en su desarrollo. Este artículo se centra en Lilly Reich (1885-1947), figura clave del diseño moderno, cuya autoría ha sido eclipsada por la de su colaborador Ludwig Mies van der Rohe. La investigación evidencia que la diseñadora no solo contribuyó al diseño de mobiliario moderno y de espacios expositivos, sino que lideró proyectos clave y que su trabajo ha impactado en el diseño expositivo, textil y mobiliario moderno.

A Proposed Load Forecasting Strategy Developed On Smart Electrical Grid Employing Deep Learning Techniques, Noha A. Sakr, Ahmed I. Saleh, Rana Mohamed El-Balka

Mansoura Engineering Journal

Smart electrical grids, which involve the application of intelligent information and communication technologies, are becoming the core ingredient in the ongoing modernization of the electricity delivery infrastructure. They enable the real-time monitoring and direction of network components, which has led to the emergence of new jobs and responsibilities including autonomous intelligent load forecasting. As it gives energy management intelligence, load forecasting is a crucial function for the operation and planning of the electrical system. Many works and studies have been made over the years to enhance smart grids, almost all of these works target the data collected in Fog computing …

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 …

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 …

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 …

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.

Lstm-Based Model For Intrusion Detection In Sdn-Iot Networks, Randa Srour Ali, Eman Abdelhalim, Hala B. Nafea, Ahmad Hassan

Mansoura Engineering Journal

Ensuring security in Software-Defined Networking (SDN)-enabled Internet of Things (IoT) environments is a critical challenge due to the increasing complexity of cyber threats. This study proposes an intrusion detection system based on Long Short-Term Memory (LSTM) networks to enhance security in SDN-IoT networks. The research methodology involves data preprocessing, feature selection, and model training using the SDN-IoT dataset. Data preprocessing includes handling missing values and applying various encoding (label, one-hot, frequency, binary) and normalization (minmax, log, robust, z-scaling) techniques to optimize feature representation. Feature selection, conducted using Random Forest and correlation matrix analysis, reduces the feature set from 33 to …

Assessment Of The Changes In Water Reserves In Egypt Using The Time Series Grace Data, Basma Fawzi, Mahmoud Salah, Mahmoud El-Mewafi

Mansoura Engineering Journal

The Gravity Recovery and Climate Experiments (GRACE) is considered one of the most important satellites used to identify the Terrestrial Water Storage Anomalies (TWSA) in all river basins around the world since the launch of this satellite from 2002 until now. In this research, we depend on the data obtained from GRACE in the Nile River Basin region(NRB) in Egypt during the period from 2018 to 2024, in addition to relying on the factors that affect the analysis of data related to the groundwater reserves, which are temperatures and rainfall, in order to know the sudden changes that occur in …

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 …

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 …

Development Of An Examination Hall Malpractice Detection System Using Pose Estimation And Machine Learning, Etinosa Noma-Osaghae, Udoumoh John David, Joshua Sokowonci Mommoh, Olusogo Julius Adetunji, Oyedeji Ayo Isaac

Mansoura Engineering Journal

Examination malpractice remains a critical concern, driving the need for robust and efficient detection systems to uphold academic integrity. This research introduces a novel approach to examination malpractice detection by leveraging pose estimation and machine learning to address key gaps in existing solutions. Current systems often rely exclusively on either pose estimation or object detection, failing to exploit the synergistic potential of combining these techniques. This study bridges this gap by integrating deep learning models with complementary capabilities to enhance detection accuracy, robustness, and coverage. The proposed methodology utilises OpenPose for precise human pose estimation, enabling the detection of body …

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 …

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.

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 …

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 …

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 …

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 …

Non-Line-Of-Sight Classification In Urban Areas Based On Machine Learning Algorithms, Mohamed Ali Ezzelarab, Mohamed Abdelazim Mohamed, Eman Abdelhalim, Ashraf Abosekeen

Mansoura Engineering Journal

Non-Line-Of-Sight (NLOS) and multipath errors are significant causes of poor accuracy in Global Navigation Satellite Systems (GNSS). These errors occur when satellite signals are diffracted or reflected by obstacles instead of traveling directly along the Line-Of-Sight (LOS), particularly in urban environments. Such diffracted or reflected signals can reach GNSS receivers, skewing pseudorange measurements and posing challenges to accurate GNSS positioning. This study introduces an innovative approach using supervised Machine Learning (ML) models to detect and mitigate NLOS error. To develop and validate these models, GNSS data collected during the smartLoc project from Frankfurt and Berlin in Germany were leveraged, representing …