Education Commons^™

Gamifying Origami - Rule-Based Improvisation For Design Exploration, Zeynep S. Bacinoğlu, Özlem Çavuş

Architecture and Planning Journal (APJ)

Origami, which originated as a folding paper game in Japan, has turned into a source of learning and inspiration for design and engineering studies. Complex two-dimensional patterns of origami sustain visual rules of space transformation. So, this paper proposes to gamify origami to get users more involved in the design space exploration process. For the gamification of origami, the study alters the origami patterns in a 3D modular composition with rules, scoring, and rounds in a design context. Gamifying origami becomes a tool for a learning experience for first-year architecture students in the early design phases. Accordingly, this paper presents …

Affordable Computation For Architecture, António Leitão, Renata Castelo-Branco, Inês Caetano

Architecture and Planning Journal (APJ)

Current architectural requirements prioritize the need to minimize the ecological footprint. By taking advantage of computational design approaches like Algorithmic Design (AD), architects can enhance their design processes with analysis, optimization, and visualization mechanisms, which are critical to explore design solutions that meet this need. However, these mechanisms are also highly time- and resource-consuming, often implying a quality tradeoff or the acquisition of High-Performance Computing (HPC) machines. The latter are not yet affordable for most design studios but, fortunately, they can be contracted as a service. This paper evaluates the impact of computation as a service in architecture and, more …

Digital Framework To Optimize Visual Comfort Using Kinetic Facades, Fatima Belok, Mostafa Khalifa, Ibtihal El-Bastawissi, Mohamad Hanafi

Architecture and Planning Journal (APJ)

Visual comfort is one of many aspects of human comfort that should be considered in architectural spaces. Visual comfort is an architectural necessity and could be achieved and optimized in spaces through controlling facades’ opening. This could be achieved by applying kinetic facades, which is one of the trends in the field of responsive architecture. However, the research’ s aim is optimizing visual comfort using kinetic facades in educational spaces. This optimization will improve the environmental quality of the educational space. In this research architects will achieve easily more effective kinetic facades to have better visual comfort by enhancing daylight …

Computational Design For Architectural Space Planning Of Commercial Exhibitions - A Framework For Visitors Interaction Using Parametric Design And Agent-Based Modeling, Nihal Morsi, Shaimaa Kamel, Hanan Sabry, Ayman Assem

Architecture and Planning Journal (APJ)

Using computational tools for evaluating spatial layouts of commercial exhibitions provides an opportunity for assessment of performance before execution. However, most evaluation techniques take into consideration only the physical qualities of the built environment, excluding important factors such as crowds. Crowds are essentially dynamic obstacles that hinder visibility and can induce flight response, but they are also a sign of good exposure when in reasonable amounts. This is mostly due to the challenge of quantifying spatial qualities such as users’ interaction and movement for computational representations. This paper proposes a framework using agent-based modeling for simulating user interaction in commercial …

Progeny: A Grasshopper Plug-In That Augments Cellular Automata Algorithms For 3d Form Explorations, İnanç Şencan

Architecture and Planning Journal (APJ)

Cellular automata (CA) is a well-known computation method introduced by John von Neumann and Stanislaw Ulam in the 1940s. Since then, it has been studied in various fields such as computer science, biology, physics, chemistry, and art. The Classic CA algorithm is a calculation of a grid of cells' binary states based on neighboring cells and a set of rules. With the variation of these parameters, the CA algorithm has evolved into alternative versions such as 3D CA, Multiple neighborhood CA, Multiple rules CA, and Stochastic CA (Url-1). As a rule-based generative algorithm, CA has been used as a bottom-up …

Using Artificial Neural Networks And Space Syntax Techniques To Understand Mass Housing Design Parameters, Veli̇ Mustafa Yönder

Architecture and Planning Journal (APJ)

The design of mass housing is a complex process that involves the use of a large number of components and parameters. The field of design has unavoidably been changed by the impact of digitalization, which has resulted in the proliferation of computational design models, data structures, artificial intelligence, and an algorithmic way of thinking. Artificial neural networks, space syntax methodologies, predefined rules will help shape the steps of the schematic design process and establish certain limitations. Within the confines of this research, predefined guidelines were used to bring about geometric variances in the design of mass houses. Both traditional and …

A Hybrid Approach Based On Building Physics And Machine Learning For Thermal Comfort Prediction In Smart Buildings, Mona M. Salem, Ramy M. Moussa

Architecture and Planning Journal (APJ)

One of the most important challenges facing the world is the application of modern technology in order to create smart buildings that achieve sustainable development goals (SDGs). Thermal comfort and reduction of energy consumption in buildings are considered important factors which, in turn, are reflected in creating a healthy environment and improving human productivity. Internet of Things (IoT) provides an ideal solution for collecting real-time data on the factors affecting indoor thermal comfort and energy consumption. However, comfort level is subjective and depends on many factors, which may not be learned by conventional models, an integrated model depending on thermal …

Urban Map Generation In Artist’S Style Using Generative Adversarial Networks (Gan), Selen Çiçek, Mustafa Koç, Berfin Korukcu

Architecture and Planning Journal (APJ)

Artificial Intelligence is a field that is able to learn from existing data to synthesize new ones using deep learning methods. Using Artificial Neural Networks that process big datasets, complex tasks and challenges become easily resolved. As the zeitgeist suggests, it is possible to produce novel outcomes for future projections by applying various machine learning algorithms on the generated data sets. In that context, the focus of this research is exploring the reinterpretation of 21st century urban plans with familiar artist styles using different subtypes of deep-learning-based generative adversarial networks (GAN) algorithms. In order to explore the capabilities of urban …

Towards Informed Design Decision Support Of Additive Manufacturing In Construction - The Use Of Integrated Knowledge In Bim-Based Architectural Design, Chao Li, Frank Petzold

Architecture and Planning Journal (APJ)

Additive Manufacturing (AM) technologies have great potential to promote sustainable development in the architecture, engineering, and construction (AEC) domain. But the inherent complexity of AM and lack of domain knowledge hinder decisions about appropriate construction methods. With state-of-the-art Semantic Web technologies, a knowledge base regarding AM technologies can be formalized and integrated into the Building Information Modeling (BIM) methodology. To this end, this paper demonstrates how a Design Decision Support System (DDSS) utilizes formal knowledge to assist architects in choosing the appropriate AM method by assessing the manufacturability of individual building components. By following and refining the essential activities described, …

Computer Vision Aided Hotspot Creation In Virtual Environments, Lama A. Affara, Bilal E. Nakhal

Architecture and Planning Journal (APJ)

Hotspot creation is one of the most important modules within virtual environments which helps show the navigators of these environments some information about semantic elements within it and facilitate the navigation between the virtual spaces. In this paper, a system for automatic hotspot proposals and creation in virtual environments is proposed. The system uses computer vision modules to automatically propose hotspot locations in addition to identifying and creating these hotspots with candidate labels. Two main modules used in the system are object detection and scene segmentation. The scene segmentation helps give candidate hotspot areas and provides an overall understanding of …

Getting A Handle On Floor Plan Analysis - Door Classification In Floor Plans And A Survey On Existing Datasets, João David, António Leitão

Architecture and Planning Journal (APJ)

Floor plan interpretation and reconstruction is crucial to enable the transformation of drawings to 3D models or different digital formats. It has recently taken advantage of neural-based architectures, especially in the semantic segmentation field. These techniques perform better than traditional methods, but the results depend mainly on the data used to train the networks, which is often crafted for the specific task being performed, making it hard to reuse for different purposes. In this paper, we conduct a literature survey on the existing datasets for floor plan analysis, and we explore how information regarding door placement and orientation can be …

Architectural Hybrid (Physical-Digital) Prototyping In Design Processes With Digital Twin Technologies, Gulbahar Emir Isik, Henri Achten

Architecture and Planning Journal (APJ)

A digital twin is a simultaneous digital reflection of object processes and states. Digital twins are usually made of objects that exist in reality or which are very near completion in a design and production process. In our research, we investigate the potential of digital twin technology for early design. Key to the early application of digital twin in design is the role of information and simulation. Since design information is valuable for predicting the future of design, we assume that design will begin to change as digital twin technologies become more and more adaptable, as designers simultaneously have digital …

Gestural Design - Hand Tracking For Digital Drawing, Jordan A. Kanter, Kamil Quinteros

Architecture and Planning Journal (APJ)

Computational design is increasingly interested in the active feedback between the user/designer and the digital space. Often, our initial instinct as designers comes from a gesture, a movement of the hands that gets translated into sketches and 3D models via the tools available to us. While the physical realm allows for muscle memory, tactile feedback, and creative output via movement, digital design often negates the body of the designer as it sequesters us into a screen-mouse-hand relationship. Moreover, current CAD software tools often reinforce this standardization, further limiting the potential of physical bodily gestures as a vehicle for architectural form-making. …

Generating Mass Housing Plans Through Gans - A Case In Toki, Turkey, Gi̇zem Özerol Özman, Semra Arslan Selçuk

Architecture and Planning Journal (APJ)

Nowadays, Machine Learning (ML) is frequently used in almost all disciplines having an intersection with technology. Recently, architects are using existing plan data sets in architecture through Deep Learning (DL) algorithms of big data to achieve generative and non-existent plan models by using ML. Especially, Generative Adversarial Neural Networks (GANs), one of the deep learning algorithms, have been in use in the creation of generative models for architectural studies. Within the scope of this paper, architectural drawings were generated by using GANs. This generation method allows for the training of spatial layout planning to networks and for the generation of …

Using Deep Learning To Generate Front And Backyards In Landscape Architecture, Mehmet O. Senem, Mustafa Koç, Hayriye E. Tunçay, İmdat As

Architecture and Planning Journal (APJ)

The use of artificial intelligence (AI) engines in the design disciplines is a nascent field of research, which became very popular over the last decade. In particular, deep learning (DL) and related generative adversarial networks (GANs) proved to be very promising. While there are many research projects exploring AI in architecture and urban planning, e.g., in order to generate optimal floor layouts, massing models, evaluate image quality, etc., there are not many research projects in the area of landscape architecture - in particular the design of two-dimensional garden layouts. In this paper, we present our work using GANs to generate …

The Chanticleer, 2023-03-30, Coastal Carolina University

The Chanticleer Student Newspaper

The editorially independent student produced weekly newspaper of Coastal Carolina University.

Staff Excellence Award Winners, Wku Staff Senate

Staff Council

Notification of staff excellence award winners.

Minutes, College Of Liberal Arts Faculty Meeting, Thursday, March 30, 2023, College Of Liberal Arts Faculty, Rollins College

The College of Liberal Arts Faculty Minutes

No abstract provided.

An Investigation Of The Impact Targeted Motivational Efforts And Leadership Styles Have On School Climate, Ashley Nichole Galloway

Dissertations

This dissertation explored the challenging nature school climate holds within the realms of organizational and building effectiveness among building leaders, staff, and students. Difficulties associated with organizational climate were identified. There are numerous factors that contributed to shaping school climate and school climate is also highly dependent on perceptions (McGregor, 1960). Through an interdisciplinary focus between targeted motivational efforts and administrative leadership styles, this study aimed to discover a new understanding of central climate and leadership factors which might lend to a more positive environment. Despite the substantial amount of critical work performed within this study, recommendations for future research …

Huh Honored For Contributions To Gynecology Cancer Patients, Survivors, Staff

Browse All News

No abstract provided.

Wellscreens Are Back This Spring - Register For Yours Today, Staff

Browse All News

No abstract provided.

2023-03-30 Faculty Senate Meeting Minutes, Morehead State University. Faculty Senate.

Faculty Senate Records

Faculty Senate meeting minutes from March 30, 2023.

Leading From The Margins: Black Women's Experiences Navigating Historically Black Colleges And Universities, Christina R. Caul

Morehead State Theses and Dissertations

A capstone submitted in partial fulfillment of the requirements for the degree of Doctor of Education in the Ernst and Sara Lane Volgenau College of Education at Morehead State University by Christina R. Caul on March 30, 2023.

November 8, 2025 Media Coverage And The War On Terror -- Event Slides, Lender Center For Social Justice

The Lender Center for Social Justice

A slideshow with photographs from a previous Art Rage event.

College Of Graduate Studies News, Georgia Southern University

College of Graduate Studies: News & Publications (2016-2023)

• The Grad Post, Spring 2023, Master of Science, Logistics and Supply Chain Management
• The Grad Post, Spring 2023, Dr. Marla Bruner, Associate Dean of Graduate Student Services
• The Grad Post, Spring 2023, Matt Dunbar, Director of Graduate Enrollment
• The Grad Post, Spring 2023, Students with Disabilities Advocacy Group

Evaluation Of A Prototype Deep Learning-Based Autosegmentation Algorithm On A High Quality Database Of Head And Neck Cancer Radiotherapy Patients, Jihye Koo

USF Tampa Graduate Theses and Dissertations

This dissertation is devoted to the study of deep learning-based autosegmentation in head and neck radiotherapy. Much of the work presented here is motivated by the need to introduce a clinically useful autosegmentation model for head and neck organs at risk, with the aim of reducing inter-observer variation in structure segmentation and enhancing time efficiency of the treatment planning process. This dissertation describes autosegmentation approaches, introduces a prototype deep learning-based autosegmentation algorithm trained with carefully curated local gold data, and presents a series of comprehensive evaluations to verify the feasibility of implementing the prototype model in clinical settings.

One of …

The Impact Of Supplemental Phonemic Awareness Lessons On Phonological Awareness And Spelling Development Among Kindergarten And First Graders, Crystal Olinger

Graduate Theses, Dissertations, and Capstones

Reading is a developmental process that builds on complex cognitive processes and starts long before children enter school. This present study investigated the impact of supplemental phonemic awareness lessons on phonological awareness and spelling development among kindergarten and first graders. The Comprehensive Test of Phonological Processing (CTOPP-2) measured phonological awareness. The Kindergarten Inventory of Developmental Spelling (KIDS) measured spelling development in kindergarten students. The Developmental Spelling Analysis (DSA) measured spelling development in first grade. Participants in the treatment group received 16 weeks of weekly word study instruction and 10-15 minute daily phonemic awareness instruction. A mixed design full factorial ANOVA …

2023-03-30 Agenda Book, Morehead State University. Board Of Regents.

Morehead State Board of Regents Agenda Books and Meeting Minutes

Agenda booklet for the Board of Regents meeting of March 30, 2023 which includes the meeting minutes of February 23, 2022 and the Audit Committee and Executive Committee meeting minutes held the same day.

The Current - Volume 33 Issue 8, Nova Southeastern University

Student Newspapers

No abstract provided.

Saudi Parents As Advocates For Their Young Children With Disabilities: Reflections On The Journey, Sadeem A. Alolayan

USF Tampa Graduate Theses and Dissertations

Although special education advocates have played an essential role in obtaining rights for individuals with disabilities, there is still much unknown about their motivations, challenges, roles, and the meaning they made from their experiences. Research into Saudi parent advocates of children with disabilities and their complex daily life issues have seldom been investigated, with rare studies that focus solely on Saudi early intervention services needs and supports. This qualitative study aimed to explore the experiences of Saudi parents of children with developmental disabilities who are special education advocates in their communities. One of the goals of this study was to …