Intelligent computational sketching support for conceptual design

Sketches, with their flexibility and suggestiveness, are in many ways ideal for expressing emerging design concepts. This can be seen from the fact that the process of representing early designs by free-hand drawings was used as far back as in the early 15th century [1]. On the other hand, CAD systems have become widely accepted as an essential design tool in recent years, not least because they provide a base on which design analysis can be carried out. Efficient transfer of sketches into a CAD representation, therefore, is a powerful addition to the designers' armoury.It has been pointed out by many that a pen-on-paper system is the best tool for sketching. One of the crucial requirements of a computer aided sketching system is its ability to recognise and interpret the elements of sketches. 'Sketch recognition', as it has come to be known, has been widely studied by people working in such fields: as artificial intelligence to human-computer interaction and robotic vision. Despite the continuing efforts to solve the problem of appropriate conceptual design modelling, it is difficult to achieve completely accurate recognition of sketches because usually sketches implicate vague information, and the idiosyncratic expression and understanding differ from each designer

Shape matching and clustering

Generalising knowledge and matching patterns is a basic human trait in re-using past experiences. We often cluster (group) knowledge of similar attributes as a process of learning and or aid to manage the complexity and re-use of experiential knowledge [1, 2]. In conceptual design, an ill-defined shape may be recognised as more than one type. Resulting in shapes possibly being classified differently when different criteria are applied. This paper outlines the work being carried out to develop a new technique for shape clustering. It highlights the current methods for analysing shapes found in computer aided sketching systems, before a method is proposed that addresses shape clustering and pattern matching. Clustering for vague geometric models and multiple viewpoint support are explored

Shape matching and clustering in design

Generalising knowledge and matching patterns is a basic human trait in re-using past experiences. We often cluster (group) knowledge of similar attributes as a process of learning and or aid to manage the complexity and re-use of experiential knowledge [1, 2]. In conceptual design, an ill-defined shape may be recognised as more than one type. Resulting in shapes possibly being classified differently when different criteria are applied. This paper outlines the work being carried out to develop a new technique for shape clustering. It highlights the current methods for analysing shapes found in computer aided sketching systems, before a method is proposed that addresses shape clustering and pattern matching. Clustering for vague geometric models and multiple viewpoint support are explored

Extra-terrestrial construction processes - advancements, opportunities and challenges

Government space agencies, including NASA and ESA, are conducting preliminary studies on building alternative space-habitat systems for deep-space exploration. Such studies include development of advanced technologies for planetary surface exploration, including an in-depth understanding of the use of local resources. Currently, NASA plans to land humans on Mars in the 2030s. Similarly, other space agencies from Europe (ESA), Canada (CSA), Russia (Roscosmos), India (ISRO), Japan (JAXA) and China (CNSA) have already initiated or announced their plans for launching a series of lunar missions over the next decade, ranging from orbiters, landers and rovers for extended stays on the lunar surface. As the Space Odyssey is one of humanity’s oldest dreams, there has been a series of research works for establishing temporary or permanent settlement on other planetary bodies, including the Moon and Mars. This paper reviews current projects developing extra-terrestrial construction, broadly categorised as: (i) ISRU-based construction materials; (ii) fabrication methods; and (iii) construction processes. It also discusses four categories of challenges to developing an appropriate construction process: (i) lunar simulants; (ii) material fabrication and curing; (iii) microwave-sintering based fabrication; and (iv) fully autonomous and scaled-up construction processes

The revolving door pattern of jail incarceration and homelessness and its influence on mortality and morbidity among New York City adults

Objectives The purpose of this dissertation study was to identify timing and sequencing of jail incarceration and homelessness by utilizing sequence analysis and to test whether a particular trajectory contributes to mortality risk and discontinuity of HIV care. Methods The main data source was an existing matched dataset, constructed using administrative data from the New York City (NYC) Departments of Health and Mental Hygiene, Correction, and Homeless Services. The study cohort consisted of 15,620 NYC adults with recent histories of both jail incarceration and homelessness. Monthly experiences of jail incarceration, homelessness, and community-dwelling in 2001-03 were summarized into trajectory groups using sequence analysis. Then, the study examined associations between trajectory groups and all-cause, drug-related, and HIV mortality risk during the subsequent two years using Standardized Mortality Ratio (SMR) and marginal structural modeling. The study further focused on the sub-set of the cohort living with HIV/AIDS, and tested whether trajectory groups were associated with retention in HIV care and viral suppression. Results Sequence analysis identified six trajectory groups of incarceration/homelessness. A majority of the study cohort had sporadic experiences of brief incarceration and shelter stays (Temporary pattern), whereas the others had mixed experiences in various lengths and frequencies. The SMR analysis found that all-cause, drug-related, and HIV mortality risk among individuals with the Temporary pattern was significantly higher than that of non-incarcerated/non-sheltered NYC adults of the same age, sex, race/ethnicity, and neighborhood poverty. Similarly, after accounting for confounding in marginal structural modeling, the elevated mortality risk was associated with the Temporary versus persistent shelter stay patterns (Continuously homeless pattern). Of 1,173 individuals living with HIV/AIDS, the Temporary pattern was independent of retention in HIV care, but significantly associated with lower prevalence of viral suppression, compared with a pattern of prolonged shelter-free and jail-free period (Decreasingly homeless pattern). Conclusions Sporadic experiences of brief jail incarceration and homelessness among NYC incarcerated/sheltered adults were associated with excess risk of mortality and low prevalence of viral suppression. The study highlights the importance of public health efforts to modify patterns of incarceration/homelessness experiences, along with behavioral interventions, in order to reduce risk of adverse health conditions

Categorisation of designs according to preference values for shape rules

Shape grammars have been used to explore design spaces through design generation according to sets of shape rules with a recursive process. Although design space exploration is a persistent issue in computational design research, there have been few studies regarding the provision of more preferable and refined outcomes to designers. This paper presents an approach for the categorisation of design outcomes from shape grammar systems to support individual preferences via two customised viewpoints: (i) absolute preference values of shape rules and (ii) relative preference values of shape rules with shape rule classification levels with illustrative examples