Bridging the gap between theory and design

2019 ◽  
Vol 20 (3) ◽  
pp. 548-567
Author(s):  
Daniel Bergquist ◽  
Christine A. Hempel ◽  
John Lööf Green
Keyword(s):  
Design Process ◽  
Large Scale ◽  
Research Collaboration ◽  
Preliminary Design ◽  
Exploratory Research ◽  
Design Strategies ◽  
Rapid Urbanization ◽  
Content Type ◽  
Systems Ecology ◽  
Building Program

Purpose This paper aims to describe an exploratory research and design process that uses illustrative techniques to bridge the gap between theoretical principles of systems ecology, stakeholder input and a workable physical planning strategy for Ultuna Campus in Uppsala, Sweden. Design/methodology/approach Stakeholder interviews provide the empirical basis for this exploratory design process, in conjunction with landscape analysis, and review of previous proposals for campus development. Central principles of self-organizing systems are selected and concretized as visionary hypotheses in a physical context. Preliminary design concepts and plans illustrate sustainable systems while supporting new functional programmatic requirements: housing, industry-research collaboration, transportation and community-integrated landscapes. Findings The result is a proposal based on regenerative landscape design, envisioning campus Ultuna as a coherent whole. Research limitations/implications A large-scale modern building program is already underway at Ultuna, and rapid urbanization in the surrounding region coupled with projected growth on campus suggests future intensification of university lands. A master plan to be implemented until 2040 is now in the preliminary design phase. Ultuna is home to significant cultural and ecological landscapes, and a holistic approach is called for. Practical implications Illustrative techniques suggest ways to synthesize knowledge by creating future scenarios that are workable in practice. Social implications Global challenges call for designs that enhance environmental and human resources and their capacity to regenerate over time. Sustainability objectives are particularly crucial when envisioning university campuses; the environment serves as a laboratory for researchers, teachers, students and residents of the surrounding community. Originality/value This paper describes an innovative process for bridging ecological principles, stakeholder perspectives and practical design strategies for sustainable campuses.

Sustainable apparel design strategies regenerated from traditional costumes of the Chosun Dynasty

2017 ◽  
Vol 21 (1) ◽  
pp. 27-41 ◽  
Author(s):  
Seoha Min ◽  
Helen Koo
Keyword(s):  
Design Process ◽  
Design Methodology ◽  
Sustainable Design ◽  
Research Purpose ◽  
Design Strategies ◽  
Apparel Design ◽  
Korean Culture ◽  
Content Type

Purpose This study aims to provide insights to designers for seeking innovative ways to design sustainable clothes and appeal to consumers by enhancing sustainability. Design/methodology/approach To achieve the research purpose, the researchers went through a design process and designed three prototypes. The experts’ evaluation on the prototypes was positive. Findings Various design strategies derived from the Korean traditional costume were explored. Based on the strategies, three prototypes were developed, and the design experts’ evaluation on the prototypes was positive. Originality/value The research has implications as follows. The sustainable design process and methods used in this research for developing designs inspired from cultural costumes will provide insights to designers who want to create sustainable garments inspired by a certain culture. In addition, the design and sustainable design strategies, derived from the Chosun Dynasty, will guide apparel designers to create sustainable designs and broaden their perspectives. Furthermore, the research will provide guidance to following researchers who are interested in the topic of sustainability in apparel design. The researchers explored sustainable design strategies from the Korean culture, applied them in their design process and evaluated the design outcomes. By doing so, merits and limitations of the design strategies were more clearly understood.

Assessment of a small UAV speed polar graph by conducting flight tests

2019 ◽  
Vol 91 (5) ◽  
pp. 720-727
Author(s):  
Adam Tomaszewski ◽  
Zdobyslaw Jan Goraj
Keyword(s):  
Design Process ◽  
Test Procedure ◽  
Unmanned Aircraft ◽  
Design Parameters ◽  
Preliminary Design ◽  
Flight Testing ◽  
Flight Tests ◽  
Content Type ◽  
Polar Graph ◽  
Small Uav

Purpose The purpose of this paper is to present an approach to a polar graph measurement by a flight testing technique and to propose a baseline research method for future tests of UAV polar graphs. The method presented can be used to demonstrate a conceptual and preliminary design process using a scaled, unmanned configuration. This shows how results of experimental flight tests using a scaled flying airframe may be described and analysed before manufacturing the full scale aircraft. Design/methodology/approach During the research, the flight tests were conducted for two aerodynamic configurations of a small UAV. This allowed the investigation of the influence of winglets and classic vertical stabilizers on the platform stability, performance and therefore polar graphs of a small unmanned aircraft. Findings A methodology of flight tests for the assessment of a small UAV’s polar graph has been proposed, performed and assessed. Two aerodynamic configurations were tested, and it was found that directional stability had a large influence on the UAV’s performance. A correlation between the speed and inclination of the altitude graph was found – i.e. the higher the flight speed, the steeper the altitude graph (higher descent speed, steeper flight path angle). This could be considered as a basic verification that the recorded data have a physical sense. Practical implications The polar graph and therefore glide ratio of the aircraft is a major factor for determining its performance and power required for flight. Using the right flight test procedure can speed-up the process of measuring glide ratio, making it easier, faster, robust, more effective and accurate in future research of novel, especially unorthodox configurations. This paper also can be useful for the proper selection of requirements and preliminary design parameters for making the design process more economically effective. Originality/value This paper presents a very efficient method of assessing the design parameters of UAVs, especially the polar graph, in an early stage of the design process. Aircraft designers and producers have been widely performing flight testing for years. However, these procedures and practical customs are usually not wide spread and very often are treated as the company’s “know how”. Results presented in this paper are original, relatively easily be repeated and checked. They may be used either by professionals, highly motivated individuals and representatives of small companies or also by ambitious amateurs.

The reestablishment of Mosul's city fabric: an approach to computational hybridization

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mostafa Alani ◽  
Akel Ismail Kahera
Keyword(s):  
Genetic Algorithm ◽  
Large Scale ◽  
Spatial Configuration ◽  
Phase 1 ◽  
Computational Design ◽  
Design Criteria ◽  
Design Strategies ◽  
Reconstruction Process ◽  
Content Type ◽  
Computational Synthesis

PurposeThis paper aims out to analyze the confluence of spatial analysis and computational design strategies to support the reestablishment of Mosul's city housing fabric. According to a UN-Habitat report, Mosul suffered from catastrophic losses on an urban scale, resulting in a housing crisis that requires a large-scale response. However, the need for immediate shelters might lead to a rapid, uninformed reconstruction process, causing the loss of the architectural identity that the city accumulated over the years.Design/methodology/approachThe study utilizes a two-phase sequential research method. In Phase 1, the study applies space syntax techniques to transform the floor plans of the collected traditional and contemporary houses into “quantifiable data.” This phase aims to identify design criteria that capture the “spatial configuration” of both types of houses. In the subsequent phase, the study utilizes the identified design criteria to develop a genetic algorithm inspired by traditional and contemporary practice that facilitates an informed design process.FindingsThe outcome of the study indicates that informed computational synthesis can assist in generating multiplicities floor plan layouts that mimic the inner spatial configuration of existing traditional courtyard houses and contemporary noncourtyard houses. In addition, the developed genetic algorithm was able to generate hybridized design solutions that have been spatially validated.Originality/valueThe study concludes with observations linking informed computational synthesis to the postwar construction process as a remedial methodology to analyze and redesign Mosul's city fabric in an informed, affordable and accessible fashion.

A hybrid approach to optimize initial design strategies for pre-sale housing projects

2019 ◽  
Vol 26 (3) ◽  
pp. 515-534
Author(s):  
Yi-Kai Juan ◽  
I-Chieh Lin ◽  
Ji-Xuan Tsai
Keyword(s):  
Decision Making ◽  
Design Process ◽  
Hybrid Approach ◽  
Design Strategies ◽  
Design Quality ◽  
Content Type ◽  
Housing Design ◽  
Residential Design ◽  
Initial Design ◽  
Fuzzy Delphi

Purpose The purpose of this paper is to propose a hybrid decision-making model for optimizing the initial design strategies of pre-sales housing, identifying factors affecting the initial design of housing, and developing different initial design approaches and strategies based on buyers’ preferences. Design/methodology/approach Indicators and factors in line with the local initial planning and design are created according to the design quality indicator framework. The important indicators and factors are screened out preliminarily with the fuzzy Delphi method and decision-making trial and evaluation laboratory based analytic network process. The performances of two actual cases under similar site conditions are checked with regard to the overall residential sales rate and time on the market (TOM). Findings The result shows that the proposed model can effectively improve the sales rate, shorten the TOM and better complies with buyer design strategy demands, and thus positively correlating to economic value. Originality/value Pre-sales make possible the customized strategy of allowing future residents to participate in the housing design process. However, buyers’ participation in the design process is highly limited, and developers usually determine their planning and initial residential design strategies based on experience and intuition. With the proposed approach, the initial residential design of a project can be effectively intervened, so that home users can truly participate in the design, and the residential construction service can be provided in a unique, but non-universal way.

Design of novel aerial jet target

2017 ◽  
Vol 89 (4) ◽  
pp. 511-519
Author(s):  
Zdobyslaw Jan Goraj ◽  
Marek Malinowski ◽  
Andrzej Frydrychewicz
Keyword(s):  
Dynamic Stability ◽  
Design Process ◽  
Early Stage ◽  
Fuel Tank ◽  
Design Parameters ◽  
Design Activity ◽  
Preliminary Design ◽  
Flight Tests ◽  
Content Type ◽  
Selection Of

Purpose This paper aims to present and discuss the requirements for flying targets which sometimes are contradictory to each other and to perform a trade-off analysis before the design activity is started. It also aims to demonstrate conceptual and preliminary design processes using a practical example of PW-61 configuration and to show how results of experimental flight tests using a scaled flying target will be described and analyzed before manufacturing the full scale flying target. Design/methodology/approach An important part of the paper consists of the selection of tailplane configuration of the flying target UAV to protect some expensive on-board systems against serious damages and to obtain a sufficient dynamic stability, independently of the amount of the petrol in fuel tank. Inverted V-tail, U-tail and H-tail configurations were considered and compared both, theoretically and in-flight experiments. Findings Flight dynamics models and associated computational procedures were useful both in a preliminary design phase and during the final assessment of the configuration after flight tests. Selection of the tailplane configuration for the flying target UAV is very important to protect some expensive on-board systems against serious damages and to obtain a sufficient dynamic stability, independent of the amount of the petrol in fuel tank. Practical implications Flying targets should be speedy, maneuverable, cheap, easy in deployment and multi-recoverable (if not destroyed by live ammunition), must have relatively low take-off weight and an endurance of at least 1 h. This paper can be useful for proper selection of requirements and preliminary design parameters to make the design process more economically effective. Originality/value This paper presents very efficient methods of assessing the design parameters of flying targets, especially in an early stage of the design process. Stability computations are performed based on equations of motion and are supplemented by flight tests using the scaled flying models. It can be considered as an original, not typical, but very practical approach because it delivers lots of data in the early design stages at relatively low cost.

scholarly journals Place-Making of Transit Towns in Qatar: The Case of Qatar National Museum-Souq Waqif Corridor

Designs ◽  
2021 ◽  
Vol 5 (1) ◽  
pp. 18
Author(s):  
Khalida Marthya ◽  
Raffaello Furlan ◽  
Labeeb Ellath ◽  
Maha Esmat ◽  
Rashid Al-Matwi
Keyword(s):  
Large Scale ◽  
Capital City ◽  
National Museum ◽  
Transit Oriented Development ◽  
Design Strategies ◽  
Place Making ◽  
Rapid Urbanization ◽  
Heritage Sites ◽  
Historical Heritage ◽  
Historic Significance

Over the last two decades, Doha, the capital city of Qatar, has undergone rapid urbanization. The city has capitalized large-scale urban and infrastructural projects resulting in a loss of historical areas of heritage value to people. Recent construction of the Doha Metro is opening avenues for place-making of transit towns through a framework envisioned by the need to shape compact, livable and sustainable neighborhoods and to mitigate the effects of urbanization on valuable historical heritage sites. Due to its historic significance, the Qatar National Museum (QNM)-Souq Waqif corridor is the case study selected for exploring and defining a framework for a contextualized place-making transit-oriented development (TOD) model. The research design is structured by reviewing the literature about TODs and the need for place-making model in Qatar, followed by collecting visual data from municipal authorities, through site visits, and site observations. The data are then analyzed to propose a novel masterplan, rooted in key urban design components of place-making. The insights will contribute to proposals for context-driven design strategies to enhance livability of the site and to extend its application to other potential transit hubs in metropolitan Doha and in the Middle East.

Financial distress determinants among SMEs: empirical evidence from Sweden

2020 ◽  
Vol 47 (3) ◽  
pp. 547-560 ◽  
Author(s):  
Darush Yazdanfar ◽  
Peter Öhman
Keyword(s):  
Financial Crisis ◽  
Financial Distress ◽  
Large Scale ◽  
Global Financial Crisis ◽  
Binary Logistic Regression ◽  
Data Availability ◽  
Cross Sectional ◽  
Data Set ◽  
Content Type ◽  
The Global Financial Crisis

PurposeThe purpose of this study is to empirically investigate determinants of financial distress among small and medium-sized enterprises (SMEs) during the global financial crisis and post-crisis periods.Design/methodology/approachSeveral statistical methods, including multiple binary logistic regression, were used to analyse a longitudinal cross-sectional panel data set of 3,865 Swedish SMEs operating in five industries over the 2008–2015 period.FindingsThe results suggest that financial distress is influenced by macroeconomic conditions (i.e. the global financial crisis) and, in particular, by various firm-specific characteristics (i.e. performance, financial leverage and financial distress in previous year). However, firm size and industry affiliation have no significant relationship with financial distress.Research limitationsDue to data availability, this study is limited to a sample of Swedish SMEs in five industries covering eight years. Further research could examine the generalizability of these findings by investigating other firms operating in other industries and other countries.Originality/valueThis study is the first to examine determinants of financial distress among SMEs operating in Sweden using data from a large-scale longitudinal cross-sectional database.

scholarly journals Large-Scale Road Network Congestion Pattern Analysis and Prediction Using Deep Convolutional Autoencoder

2021 ◽  
Vol 13 (9) ◽  
pp. 5108
Author(s):  
Navin Ranjan ◽  
Sovit Bhandari ◽  
Pervez Khan ◽  
Youn-Sik Hong ◽  
Hoon Kim
Keyword(s):  
Traffic Congestion ◽  
Network Architecture ◽  
Road Network ◽  
Large Scale ◽  
Pattern Analysis ◽  
Image Data ◽  
Urban Life ◽  
Prediction Algorithm ◽  
Rapid Urbanization ◽  
Convolutional Autoencoder

The transportation system, especially the road network, is the backbone of any modern economy. However, with rapid urbanization, the congestion level has surged drastically, causing a direct effect on the quality of urban life, the environment, and the economy. In this paper, we propose (i) an inexpensive and efficient Traffic Congestion Pattern Analysis algorithm based on Image Processing, which identifies the group of roads in a network that suffers from reoccurring congestion; (ii) deep neural network architecture, formed from Convolutional Autoencoder, which learns both spatial and temporal relationships from the sequence of image data to predict the city-wide grid congestion index. Our experiment shows that both algorithms are efficient because the pattern analysis is based on the basic operations of arithmetic, whereas the prediction algorithm outperforms two other deep neural networks (Convolutional Recurrent Autoencoder and ConvLSTM) in terms of large-scale traffic network prediction performance. A case study was conducted on the dataset from Seoul city.

The dialectics of authoring expansive learning: tracing the long tail of a Change Laboratory

2016 ◽  
Vol 28 (4) ◽  
pp. 245-262 ◽  
Author(s):  
Annalisa Sannino ◽  
Yrjö Engeström ◽  
Johanna Lahikainen
Keyword(s):  
Large Scale ◽  
Scale Transformation ◽  
Dialectical Tensions ◽  
Content Type ◽  
Organization Model ◽  
Expansive Learning ◽  
Conceptual Argument ◽  
University Library ◽  
Dialectical Process ◽  
Cultural Historical Activity

Purpose The paper aims to examine organizational authoring understood as a longitudinal, material and dialectical process of transformation efforts. The following questions are asked: To which extent can a Change Laboratory intervention help practitioners author their own learning? Are the authored outcomes of a Change Laboratory intervention futile if a workplace subsequently undergoes large-scale organizational transformations? Does the expansive learning authored in a Change Laboratory intervention survive large-scale organizational transformations, and if so, why does it survive and how? Design/methodology/approach The paper develops a conceptual argument based on cultural–historical activity theory. The conceptual argument is grounded in the examination of a case of eight years of change efforts in a university library, including a Change Laboratory (CL) intervention. Follow-up interview data are used to discuss and illuminate our argument in relation to the three research questions. Findings The idea of knotworking constructed in the CL process became a “germ cell” that generates novel solutions in the library activity. A large-scale transformation from the local organization model developed in the CL process to the organization model of the entire university library was not experienced as a loss. The dialectical tension between the local and global models became a source of movement driven by the emerging expansive object. Practitioners are modeling their own collective future competences, expanding them both in socio-spatial scope and interactive depth. Originality/value The article offers an expanded view of authorship, calling attention to material changes and practical change actions. The dialectical tensions identified serve as heuristic guidelines for future studies and interventions.

scholarly journals UVLens

2021 ◽  
Vol 5 (2) ◽  
pp. 1-26
Author(s):  
Longbiao Chen ◽  
Chenhui Lu ◽  
Fangxu Yuan ◽  
Zhihan Jiang ◽  
Leye Wang ◽  
...  
Keyword(s):  
Large Scale ◽  
Floating Population ◽  
Open Government ◽  
Residential Areas ◽  
Rapid Urbanization ◽  
Urban Village ◽  
Open Government Data ◽  
Government Data ◽  
Real World Datasets ◽  
Urban Villages

Urban villages refer to the residential areas lagging behind the rapid urbanization process in many developing countries. These areas are usually with overcrowded buildings, high population density, and low living standards, bringing potential risks of public safety and hindering the urban development. Therefore, it is crucial for urban authorities to identify the boundaries of urban villages and estimate their resident and floating populations so as to better renovate and manage these areas. Traditional approaches, such as field surveys and demographic census, are time consuming and labor intensive, lacking a comprehensive understanding of urban villages. Against this background, we propose a two-phase framework for urban village boundary identification and population estimation. Specifically, based on heterogeneous open government data, the proposed framework can not only accurately identify the boundaries of urban villages from large-scale satellite imagery by fusing road networks guided patches with bike-sharing drop-off patterns, but also accurately estimate the resident and floating populations of urban villages with a proposed multi-view neural network model. We evaluate our method leveraging real-world datasets collected from Xiamen Island. Results show that our framework can accurately identify the urban village boundaries with an IoU of 0.827, and estimate the resident population and floating population with R2 of 0.92 and 0.94 respectively, outperforming the baseline methods. We also deploy our system on the Xiamen Open Government Data Platform to provide services to both urban authorities and citizens.

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