Following nature's design principles & solutions

This project utilizes the naturally occurring phenomenon of plants and microbial bacteria to communicate, called "cross-talk", as a central approach in addressing humandominated landscape simplification. Through emitting Volatile Organic Compounds (VOCs) these organisms can provide one another with valuable information regarding nutrient and depredation sources and allow organisms to allocate their resources in a proactive and beneficial way. The purpose of this project is to demonstrate the design of an educational research center that can advance the knowledge of how to use natural design strategies based on biotic and abiotic processes, to advance our knowledge and efficiency of yield-producing constructed landscapes, and to explore design in relationship to natural processes. This project includes a proposal for the design of the Cooper/Skinner Sustainable Educational Center on the Cooper-Skinner site, Muncie, Indiana. Which has been designed to contribute to the understanding of the relationship of 1) human-dominated, landscape simplification, 2) cross-talk among organisms, and 3) the role of cross-talk in the management of the health and productivity of landscapes created via site-based processes of built landscape design. The Cooper/Skinner Sustainable Education Center is designed through the homogenization of constructed landscape grid and natural systems patterns to demonstrate the feasibility of human-dominated and natural systems integration. Furthermore, the Center educates individuals on landscape diversity, ecosystem services, and non-renewable inputs in relationship to constructed and industrialized landscapes. The site is designed through a series of diversifying and simplifying species gradients with VOC sampling transects running contiguous along these gradients. The sampling gradients, resembling top-down and bottom-up research methodologies, are then analyzed, comparing them to control samplings taken on-site. This project seeks to identify the threshold of plant and microbial bacteria species diversity required to provide natural systems with adequate complexity to be self-sustaining and capable of complexifying over time. Additionally, a series of introduced, ecologically diverse patches are proposed as an opportunity to learn about how components of living systems can provide valuable information useful for their fertilization, pollination, and protection of neighboring humansimplified landscapes. The hypothesis is that these introduced patches will extend the ecology found within the surrounding vegetative environments into the monocultural zone that is far less alive in terms of beneficial information exchange within the living system.Department of Landscape ArchitectureThesis (M.L.A.

‘Future Bathroom’, What to make? Or How to Make? Challenges in meeting sustainable needs.

This paper is a case study that describes a design research programme, ‘the future bathroom’, undertaken by the authors which illuminates both challenges and solutions for inclusive and sustainable design. A co-design research methodology was adopted and engaged older users and community lay researchers to help overcome the barriers of developing a comprehensive understanding of the issues related to highly personal, private and intimate activities. We adopt the term co-design to describe an approach to design that encourages both user involvement and interdisciplinary design. Our challenge has been to provide an environment where an exchange of ideas between stakeholders could take place and to foster what Manzini (1) has referred to as a ‘creative community’. From the project emerged both insight and understanding of age related disability and bathroom use and potential design solutions to support these needs. Adopting an inclusive approach to design research we have developed flexible, durable and sustainable solutions that meet the diverse and changing needs of bathroom usage The paper discusses how sustainability in the context of inclusive design might need to consider more ‘what we should make’ rather than ‘how we should make’

The Butterfly Effect: Creative Sustainable Design Solutions through Systems thinking

FAIM: Intelligent Manufacturing now, Limerick, Irelan

Comparing inductive and deductive methodologies for design patterns identification and articulation

Design patterns offer a valuable format to communicate knowledge of successful design solutions to recurring problems. However, there is a lack of research into design patterns that differentiate the applicability of the proposed design solutions across different nations. This paper discusses inductive and deductive methodologies for analyzing qualitative data in order to identify and articulate design patterns for cross-cultural computer-supported collaborative design learning. It proposes a methodology how patterns for facilitating intercultural design education can be identified and articulated. Within this research, an inductive, deductive and comparative methodology for identifying and articulating design patterns was developed. Therein, eleven patterns for intercultural computer-supported collaboration were identified and written. This paper introduces the proposed methodology taking the design pattern “MOOD OF THE MOMENT” for example

Securing By Design

This article investigates how modern neo-liberal states are 'securing by design' harnessing design to new technologies in order to produce security, safety, and protection. We take a critical view toward 'securing by design' and the policy agendas it produces of 'designing out insecurity' and 'designing in protection' because securing by design strategies rely upon inadequate conceptualisations of security, technology, and design and inadequate understandings of their relationships to produce inadequate 'security solutions' to readymade 'security problems'. This critique leads us to propose a new research agenda we call Redesigning Security. A Redesigning Security Approach begins from a recognition that the achievement of security is more often than not illusive, which means that the desire for security is itself problematic. Rather than encouraging the design of 'security solutions' a securing by design a Redesigning Security Approach explores how we might insecure securing by design. By acknowledging and then moving beyond the new security studies insight that security often produces insecurity, our approach uses design as a vehicle through which to raise questions about security problems and security solutions by collaborating with political and critical design practitioners to design concrete material objects that themselves embody questions about traditional security and about traditional design practices that use technology to depoliticise how technology is deployed by states and corporations to make us 'safe'

Generative Adversarial Networks (GANs): Challenges, Solutions, and Future Directions

Generative Adversarial Networks (GANs) is a novel class of deep generative models which has recently gained significant attention. GANs learns complex and high-dimensional distributions implicitly over images, audio, and data. However, there exists major challenges in training of GANs, i.e., mode collapse, non-convergence and instability, due to inappropriate design of network architecture, use of objective function and selection of optimization algorithm. Recently, to address these challenges, several solutions for better design and optimization of GANs have been investigated based on techniques of re-engineered network architectures, new objective functions and alternative optimization algorithms. To the best of our knowledge, there is no existing survey that has particularly focused on broad and systematic developments of these solutions. In this study, we perform a comprehensive survey of the advancements in GANs design and optimization solutions proposed to handle GANs challenges. We first identify key research issues within each design and optimization technique and then propose a new taxonomy to structure solutions by key research issues. In accordance with the taxonomy, we provide a detailed discussion on different GANs variants proposed within each solution and their relationships. Finally, based on the insights gained, we present the promising research directions in this rapidly growing field.Comment: 42 pages, Figure 13, Table

Compact Modeling for a Double Gate MOSFET

MOSFETs (metal-oxide-silicon field-effect transistors) are an integral part of modern electronics. Improved designs are currently under investigation, and one that is promising is the double gate MOSFET. Understanding device characteristics is critical for the design of MOSFETs as part of design tools for integrated circuits such as SPICE. Current methods involve the numerical solution of PDEs governing electron transport. Numerical solutions are accurate, but do not provide an appropriate way to optimize the design of the device, nor are they suitable for use in chip simulation software such as SPICE. As chips contain more and more transistors, this problem will get more and more acute. There is hence a need for analytic solutions of the equations governing the performance of MOSFETs, even if these are approximate. Almost all solutions in the literature treat the long-channel case (thin devices) for which the PDEs reduce to ODEs. The goal of this problem is to produce analytical solutions based on the underlying PDEs that are rapid to compute (e.g. require solving only a small number of algebraic equations rather than systems of PDEs). Guided by asymptotic analysis, a fast numerical procedure has been developed to obtain approximate solutions of the governing PDEs governing MOSFET properties, namely electron density, Fermi potential and electrostatic potential. The approach depends on the channel’s being long enough, and appears accurate in this limit

Network growth model with intrinsic vertex fitness

© 2013 American Physical SocietyWe study a class of network growth models with attachment rules governed by intrinsic node fitness. Both the individual node degree distribution and the degree correlation properties of the network are obtained as functions of the network growth rules. We also find analytical solutions to the inverse, design, problems of matching the growth rules to the required (e.g., power-law) node degree distribution and more generally to the required degree correlation function. We find that the design problems do not always have solutions. Among the specific conditions on the existence of solutions to the design problems is the requirement that the node degree distribution has to be broader than a certain threshold and the fact that factorizability of the correlation functions requires singular distributions of the node fitnesses. More generally, the restrictions on the input distributions and correlations that ensure solvability of the design problems are expressed in terms of the analytical properties of their generating functions