Energanic prototypes in the [post]-digital terrain

Although the direction of contemporary architectural thinking is heavily influenced by its critical engagement with energy usage, this relationship remains largely unexplored imaginatively. This thesis investigates an energy-centric approach to design that is enabled by digital workspace. By injecting energy transactions and modulations into otherwise abstract digital geometry while using analysis tools to examine their effects, the work is intended to speculate what this relationship with energy could be. For too long the application of emerging computer-based technologies in architecture have resisted critical agendas beyond idealist shape-making and form. At the same time the role of energy in the design process has been subsidiary and weak. Both fields of knowledge and their relationship to architecture are examined in a necessary marriage of mission and means. The research portion of this document concludes with a series of speculations that illustrate possible outcomes of the proposed energetic agenda.

Energanic prototypes in the [post]-digital terrain

Although the direction of contemporary architectural thinking is heavily influenced by its critical engagement with energy usage, this relationship remains largely unexplored imaginatively. This thesis investigates an energy-centric approach to design that is enabled by digital workspace. By injecting energy transactions and modulations into otherwise abstract digital geometry while using analysis tools to examine their effects, the work is intended to speculate what this relationship with energy could be. For too long the application of emerging computer-based technologies in architecture have resisted critical agendas beyond idealist shape-making and form. At the same time the role of energy in the design process has been subsidiary and weak. Both fields of knowledge and their relationship to architecture are examined in a necessary marriage of mission and means. The research portion of this document concludes with a series of speculations that illustrate possible outcomes of the proposed energetic agenda.

Special Issue on Digital Geometry Processing for Large-Scale Structures and Environments

The application of digital geometry processing is undergoing an extension from small industrial products to large-scale structures and environments, including plants, factories, ships, bridges, buildings, forests, and indoor/outdoor/urban environments. This extension is being supported by recent advances in long-range 3D laser scanning technology. Laser scanners are mounted on various platforms, such as tripods, wheeled vehicles, airplanes, and UAVs, and the laser scanning systems are used to efficiently acquire dense and accurate digitized 3D data of the geometry, called point clouds, of large-scale structures and environments. As another technology for the acquisition of digital 3D data of structures and environments, 3D reconstruction methods from digital images are also attracting a great deal of attention because of their flexibility. The utilization of digital 3D data for various purposes still has many challenges, however, in terms of data processing. The extraction of accurate and meaningful information from the data is an especially important and difficult problem, and many studies on object and scene recognition are being conducted in many fields. How to acquire useful and high-quality digital 3D data of large-scale structures and environments is another problem to be solved for digital geometry processing to be widely used. This special issue addresses the latest research advances in digital geometry processing for large-scale structures and environments. It covers a broad range of topics in geometry processing, including new technologies, systems, and reviews for 3D data acquisition, recognition, and modeling of ships, factories, plants, forests, river dikes, and urban environments. The papers will help the readers explore and share their knowledge and experience in technologies and development techniques in this area. All papers were refereed through careful peer reviews. We would like to express our sincere appreciation to the authors for their excellent submissions and to the reviewers for their invaluable efforts in producing this special issue.

The Fixed Point Property of the Infinite M-Sphere

The present paper is concerned with the Alexandroff one point compactification of the Marcus-Wyse (M-, for brevity) topological space ( Z 2 , γ ) . This compactification is called the infinite M-topological sphere and denoted by ( ( Z 2 ) ∗ , γ ∗ ) , where ( Z 2 ) ∗ : = Z 2 ∪ { ∗ } , ∗ ∉ Z 2 and γ ∗ is the topology for ( Z 2 ) ∗ induced by the topology γ on Z 2 . With the topological space ( ( Z 2 ) ∗ , γ ∗ ) , since any open set containing the point “ ∗ ” has the cardinality ℵ 0 , we call ( ( Z 2 ) ∗ , γ ∗ ) the infinite M-topological sphere. Indeed, in the fields of digital or computational topology or applied analysis, there is an unsolved problem as follows: Under what category does ( ( Z 2 ) ∗ , γ ∗ ) have the fixed point property (FPP, for short)? The present paper proves that ( ( Z 2 ) ∗ , γ ∗ ) has the FPP in the category M o p ( γ ∗ ) whose object is the only ( ( Z 2 ) ∗ , γ ∗ ) and morphisms are all continuous self-maps g of ( ( Z 2 ) ∗ , γ ∗ ) such that | g ( ( Z 2 ) ∗ ) | = ℵ 0 with ∗ ∈ g ( ( Z 2 ) ∗ ) or g ( ( Z 2 ) ∗ ) is a singleton. Since ( ( Z 2 ) ∗ , γ ∗ ) can be a model for a digital sphere derived from the M-topological space ( Z 2 , γ ) , it can play a crucial role in topology, digital geometry and applied sciences.