Designers in architecture and engineering are increasingly employing parametric models linked to performance simulations to assist in early building design decisions. This context presents a clear opportunity to integ...
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Designers in architecture and engineering are increasingly employing parametric models linked to performance simulations to assist in early building design decisions. This context presents a clear opportunity to integrate advanced functionality for engaging with quantitative design objectives directly into computational design environments. This paper presents a toolbox for data-driven design, which draws from data science and optimization methods to enable customized workflows for early design space exploration. It then applies these approaches to a multi-objective conceptual design problem involving structural and energy performance for a long span roof with complex geometry and considerable design freedom. The case study moves from initial brainstorming through design refinement while demonstrating the advantages of flexible workflows for managing design data. Through investigation of a realistic early design prompt, this paper reveals strengths, limitations, potential pitfalls, and future opportunities for data-driven parametric design.
The Hindu temple is a place where gods may be approached, and divine knowledge discovered. The design of the temple based on the cosmic man, the "vastu purush mandala," allows the experiencing body to be ali...
The Hindu temple is a place where gods may be approached, and divine knowledge discovered. The design of the temple based on the cosmic man, the "vastu purush mandala," allows the experiencing body to be aligned with celestial elements, obtaining harmony with the cosmos. Exploring the sequence and processes of bodily engagement as one progresses from the periphery to the core, the article seeks to apprise designers on the rituals encompassed in worship at a Hindu temple. The article creates a mosaic of hybrid fragments via photographs, drawings, and text to emphasize the intertwining of the bodily and divine.
Green Open Space is an important element in a sustainable city-oriented urban model. This phenomenon is growing and developing and has been widely accepted by urban developers around the world in recent decades. The s...
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Energy flux of Vertical Greening System (VGS) is crucial for understanding of heat exchange processes by optimizing the cooling performance in outdoor thermal comfort, thereby mitigating heat stress through the transp...
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Energy flux of Vertical Greening System (VGS) is crucial for understanding of heat exchange processes by optimizing the cooling performance in outdoor thermal comfort, thereby mitigating heat stress through the transpiration. To understand the potential cooling effect of VGS, we quantify the Mean Radiant Temperature (MRT) of VGS by analyzing radiation flux and evaluating cooling efficiency, defined as the ratio of the cooling effect provided by the VGS to the energy input necessary to achieve that effect to quantify the effectiveness of VGS. The VGS showed a decrease in net radiation by 120 W/ m2, resulting in a decline in MRT by 3.02 degrees C compared to the wall. Furthermore, we found that the cooling efficiency of transpiration in VGS was 7.38 times more effective than evaporation from soil without plants. These findings suggest that VGS has the potential to significantly reduce heat stress and serve as an efficient strategy in urban areas.
This study investigated the associations between residential environmental characteristics and the prevalence of cardiometabolic diseases in the five largest Bulgarian cities. Representative cross-sectional survey dat...
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This study investigated the associations between residential environmental characteristics and the prevalence of cardiometabolic diseases in the five largest Bulgarian cities. Representative cross-sectional survey data (N = 4640 adults) was collected in Sofia, Plovdiv, Varna, Burgas, and Ruse. Participants self-reported diagnosis or medication intake for hypertension, ischemic heart disease (IHD), stroke, and diabetes mellitus, as well as domestic burning of solid fuel and having a domestic garden. Residential addresses were linked to greenspace (overall vegetation level, tree cover, urban greenspace), bluespace, walkability, air pollution (NO2), and traffic noise (Lden). In the 300 m buffer, bluespace presence was inversely associated with hypertension (odds ratio [OR] = 0.67;95% CI: 0.45, 1.00), IHD (OR = 0.45;95% CI: 0.21, 0.99), and diabetes (OR = 0.51;95% CI: 0.25, 1.04). Higher walkability and tree cover were inversely associated with hypertension (OR per 2 units = 0.85;95% CI: 0.75, 0.96) and diabetes (OR per 10% = 0.77;95% CI: 0.62, 0.97), respectively. These associations were stronger in larger buffers. Solid fuel burning was associated with IHD (OR = 1.63;95% CI: 1.07, 2.50). There was an indication of a positive association between aircraft Ldenand both stroke and IHD. The direction of the associations for domestic gardens, NO2, road traffic and railway Ldenwas counterintuitive. We detected some nonlinear associations. In conclusion, people living in urban neighborhoods that were more walkable, closer to bluespace, and greener had lower prevalence of cardiometabolic diseases, while solid fuel burning was associated with higher odds of cardiovascular diseases. Unexpected associations with some exposures may be due to unaccounted for urban fabric characteristics. This study is among the first assessing an understudied region in Southeastern Europe. Its findings have the potential to inform public discourse and provide evidence to support the implementation
We evaluate fault-free integrity of tightly coupled INS/GNSS-based navigation for a self-driving car in a dense urban environment. Specifically, we estimate how long and under what local conditions a vehicle's nav...
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ISBN:
(纸本)9780936406275
We evaluate fault-free integrity of tightly coupled INS/GNSS-based navigation for a self-driving car in a dense urban environment. Specifically, we estimate how long and under what local conditions a vehicle's navigation protection level does not exceed an alert limit in a real urban environment-in our case, 3D-mapped downtown Chicago. We use a practical integrated navigation system, consisting of GNSS, INS, wheel speed sensors, and vehicle dynamic constraints. The goal is to determine at what locations augmentation from external ranging sources is needed to maintain continuous navigation with fault-free integrity. The results show that the vehicle velocity passing through GPS-denied areas strongly affects INS/GPS performance, and that wheel speed sensors and vehicle dynamic constraints can provide some relief.
Pestil, also known as fruit leather, has emerged as a promising non-dairy carrier for probiotics, utilizing apricots and incorporating probiotics into its formulation. This study aimed to develop a healthy snack bar b...
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Pestil, also known as fruit leather, has emerged as a promising non-dairy carrier for probiotics, utilizing apricots and incorporating probiotics into its formulation. This study aimed to develop a healthy snack bar by incorporating three distinct strains of probiotic bacteria, both in free and encapsulated forms, into the recipe of apricot leather. The physicochemical, bioactive, microbiological, and textural attributes of the resulting apricot pestils were evaluated over a 120-day storage period. Fluctuations in pH (4.74-4.97) were observed during storage, whereas water activity (0.31-0.45) and moisture content (8.05%-13.40%) exhibited a decreasing trend over time. Incorporating free or encapsulated bacteria resulted in a darker surface, attributed to the intermolecular interactions between probiotics and the pestil matrix. The initial total phenolic content was highest and declined significantly during storage (52.13-291.73 mg gallic acid equivalent/100 g) (p < 0.05). Viability was found to be higher in the encapsulated forms of bacteria at the conclusion of the storage period. Overall, apricot pestil emerged as a promising matrix for viable probiotics, facilitating their delivery and hosting in both free and encapsulated forms during storage.
Addis Ababa city has a degraded stream ecosystem and redundant flash flooding that can destroy the existing urban infrastructure and utilities. This research aimed to map flash flood vulnerability of the Kebena waters...
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Addis Ababa city has a degraded stream ecosystem and redundant flash flooding that can destroy the existing urban infrastructure and utilities. This research aimed to map flash flood vulnerability of the Kebena watershed inside Addis Ababa and evaluate the status of the riparian landscape. Methodologically, the study employed the Biophysical Composition Index (BCI) to detect impervious surfaces and the Normalized Difference Vegetation Index (NDVI) to classify the vegetation cover. The Arc-hydro tool was used to identify micro-watersheds and measure the morphometric factors, then principal component analysis (PCA) identified the surrogate factors. Fuzzy overlay analysis combined land cover and morphometric analysis results to produce the final flash flood vulnerability map. Moreover, riparian buffering at 15, 30, and 90 m distances were defined to measure the degree of imperviousness, greenness, and vulnerability to flash flooding. Accordingly, 969 ha of land was depicted within the watershed as flash flood vulnerable areas. These areas are primarily found in the southeastern and southwestern parts where impervious land cover prevailed, and the northwestern portion which has extremely rugged terrain and has a sparse vegetation cover. For all buffering distances, the proportion of impervious surface is greater than the vegetation cover. Even within 15 m buffering distance, which was set as the national urban planning standard. It is concluded that Kebena watershed is vulnerable to flash floods as the riparian landscape is dominated by impervious and depleted vegetation cover. Therefore, integrated geospatial and statistical techniques are helpful to devise a method for sustainable riparian landscape monitoring.
Brands use logos to reflect their identities and convey their company character to target customers. Logos not only represent brand value but also provide various information about brands. Companies aiming to emphasiz...
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Brands use logos to reflect their identities and convey their company character to target customers. Logos not only represent brand value but also provide various information about brands. Companies aiming to emphasize sustainable brand value also seek to showcase this aspect in their logos. Therefore, sustainable brand design and development are preferred. The focus of this research is on sustainable brand development through Artificial Intelligence-supported logo design and developing a decision support system for selecting the best logo among Artificial Intelligence-generated logos. In this study, Artificial Intelligence-supported logo design is explained, and the Multi Attribute Group Decision Making approach is adopted for identifying the best logo among the obtained logos. The Picture Fuzzy - Weights by Envelope and Slope - Alternative Ranking using Two-Step Logarithmic Normalization hybrid method is proposed for logo decision-making, combining the Weights by Envelope and Slope criterion weighting method using picture fuzzy sets with Alternative Ranking using Two-Step Logarithmic Normalization alternative ranking methods. Additionally, the Picture Fuzzy Yager Weighted Average aggregation operator based on Yager t-norm and t-conorm operations is employed. The steps of the hybrid method are outlined, and its algorithm is formulated. To test the applicability and robustness of the algorithm, sustainable logo design for an architectural firm is developed and executed as a real-case study. The research concludes that Artificial Intelligence-supported sustainable logo design can be achieved, and the hybrid method can support determining the best logo based on expert opinions. Based on the research findings, the hybrid method is recommended for sustainable logo design and selection.
This paper proposes a computer vision-based workflow that analyses Google 360-degree street views to understand the quality of urban spaces regarding vegetation coverage and accessibility of urban amenities such as be...
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