Academic literature on the topic 'Architectural science and technology (including architectural acoustics)'

The Graduate Program in Architectural Acoustics has been constantly advanced from its inception in 1998 with an ambitious mission of educating future experts and leaders in architectural acoustics, due to the rapid pace of change in the fields of architectural-, physical-, and psycho-acoustics, and noise-control engineering. Since years the program’s pedagogy using “STEM” (science, technology, engineering, and mathematics) methods has been proven to be effective and productive, including intensive, integrative hands-on experimental components that integrate architectural acoustics theory and practice. The graduate program has recruited graduate students from a variety of disciplines including individuals with B.S., B.Arch., or B.A. degrees in Mathematics, Physics, Engineering, Architecture, Electronic Media, Sound Recording, Music and related fields. Graduate students under this pedagogy and research environment have been succeed in the rapidly changing field. RPI’s Graduate Program in Architectural Acoustics has since graduated more than 120 graduates with both M.S. and Ph.D. degrees. Under the guidance of the faculty members they have also actively contributed to the program’s research in architectural acoustics, communication acoustics, psycho-acoustics, signal processing in acoustics as well as our scientific exploration at the intersection of cutting edge research and traditional architecture/music culture. This paper illuminates the evolution and growth of the Graduate Program.

The aim of this article is to orient the evolution of new architectural forms offering up-to-date scientific support. Unlike the volume, the expression for the lateral area of a regular conoid has not yet been obtained by means of direct integration or a differential geometry procedure. In this type of ruled surface, the fundamental expressions I and II, for other curved figures have proved not solvable thus far. As this form is frequently used in architectural engineering, the inability to determine its surface area represents a serious hindrance to solving several problems that arise in radiative transfer, lighting and construction, to cite just a few. To address such drawback, we conceived a new approach that, in principle, consists in dividing the surface into infinitesimal elliptic strips of which the area can be obtained in an approximate fashion. The length of the ellipse is expressed with certain accuracy by means of Ramanujan’s second formula. By integrating the so-found perimeter of the differential strips for the whole span of the conoid, an unexpected solution emerges through a newly found number that we call psi (ψ). In this complex process, projected shapes have been derived from an original closed form composed of two conoids and called Antisphera for its significant parallels with the sphere. The authors try to demonstrate that the properties of the new surfaces have relevant implications for technology, especially in building science and sustainability, under domains such as structures, radiation and acoustics. Fragments of the conoid have occasionally appeared in modern and contemporary architecture but this article discusses how its use had been discontinued, mainly due to the uncertainties that its construction posed. The new knowledge provided by the authors, including their own proposals, may help to revitalize and expand such interesting configurations in the search for a revolution of forms.

Spatial audio has been at the core of the multimodal experience at the AlloSphere, a unique instrument for data discovery and exploration through interactive immersive display, since its conception. The AlloSphere multichannel spatial audio design has direct roots in the history of electroacoustic spatial audio and is the result of previous activities in spatial audio at the University of California at Santa Barbara. A concise technical description of the AlloSphere, its architectural and acoustic features, its unique 3-D visual projection system, and the current 54.1 Meyer Sound audio infrastructure is presented, with details of the audio software architecture and the immersive sound capabilities it supports. As part of the process of realizing scientific and artistic projects for the AlloSphere, spatial audio research has been conducted, including the use of decorrelation of audio signals to supplement spatialization and tackling the thorny problem of interactive up-mixing through the Sound Element Spatializer and the Zirkonium Chords project. The latter uses the metaphor of geometric spatial chords as a high-level means of spatial up-mixing in performance. Other developments relating to spatial audio are presented, such as Ryan McGee's Spatial Modulation Synthesis, which simultaneously explores the synthesis of space and timbre.

The Great Mosque of Yogyakarta was built in 1773. This mosque has a traditional architectural style. This study investigates the relationship between the mosque's architectural form, the activities inside it, and its acoustic characteristics. It employed quantitative and qualitative methods, including sound pressure level (SPL) measurement, reverberation time, and architectural and activity observations. Acoustic measurements, architectural observations, and activities are conducted inside and outside the mosque from morning to night for one week. The research finding is a spatial continuity pattern identified as the gradation of SPL value. Consistent continuity of SPL values in accordance with the nature of activities hierarchy. The result of this study is to improve mosque noise control by arranging outdoor and indoor spaces in a sustainable manner.

Architectural Form Factor Xue Minghui1, a, Zhang Hongzhe2,b, Liu Nan3,c1 Harbin Institute of Technology School of Architecture, China 2 Harbin University of Science And Technology, China 3 Northeast Forestry University, China aminghui1220@126.com, bzhanghongzhe126@126.com,c5484913@qq.com Keywords: Architectural Form ,Abstract Factor, Extenics Design Analysis Abstract. Architectural form factor is the reflection of architectural surface and decide its forms. This paper use extenics design analysis and make analysis on architectural design examples from four basic elements including point, line, surface, body. It is aimed at making better and clear relationship of abstract elements and finding the content in architectural design forms.

In the mid 1970s, specialized hardware for synthesizing digital audio helped computer music research move beyond its early reliance on software synthesis running on slow mainframe computers. This hardware allowed for synthesis of complex musical scores in real time and for dynamic, interactive control of synthesis. Peter Samson developed one such device, the Systems Concepts Digital Synthesizer, for Stanford University's Center for Computer Research in Music and Acoustics. The “Samson Box” addressed the classical problems of digital audio synthesis with an elegance that still rewards study. This article thoroughly examines the principles underlying the Box's design—while considering how it was actually employed by its users—and describes the architecture's advantages and disadvantages. An interview with Samson is included.

With the advancements in wireless sensor networks and the Internet of Underwater Things (IoUT), underwater acoustic sensor networks (UASNs) have attracted much attention, which has also been widely used in marine engineering exploration and disaster prevention. However, UASNs still face many challenges, including high propagation latency, limited bandwidth, high energy consumption, and unreliable transmission, influencing the good quality of service (QoS). In this paper, we propose a routing protocol based on the on-site architecture (SROA) for UASNs to improve network scalability and energy efficiency. The on-site architecture adopted by SROA is different from most architectures in that the data center is deployed underwater, which makes the sink nodes closer to the data source. A clustering method is introduced in SROA, which makes the network adapt to the changes in the network scale and avoid single-point failure. Moreover, the Q-learning algorithm is applied to seek optimal routing policies, in which the characteristics of underwater acoustic communication such as residual energy, end-to-end delay, and link quality are considered jointly when constructing the reward function. Furthermore, the reduction of packet retransmissions and collisions is advocated using a waiting mechanism developed from opportunistic routing (OR). The SROA realizes opportunistic routing to choose candidate nodes and coordinate packet forwarding among candidate nodes. The scalability of the proposed routing protocols is also analyzed by varying the network size and transmission range. According to the evaluation results, with the network scale ranging from 100 to 500, the SROA outperforms the existing routing protocols, extensively decreasing energy consumption and end-to-end delay.

Traditional and conventional methods of architectural and engineering design used for building informational modeling have a number of designs and updating and visualization issues which need to be addressed. In order to improve the design effect of prefabricated residential houses, this study proposes a design optimization method for prefabricated residential houses based on building information modeling (BIM) technology. BIM combines organized, multidisciplinary data to produce a digital representation of an asset across its development, starting from planning and design to building and operations. This study first analyzes the advantages of BIM technology and its applications in architectural design. It is further focused on the design of prefabricated houses, which are based on the optimization theory, modular function, modular design, and modular replacement. These are combined with the monomer architectural form, which is used in prefabricated houses design optimization of the assembly process. Furthermore, the article also focuses on the application of BIM technology in the design optimization of prefabricated residential houses, including the choice of implementation mode, accumulation of experience through the pilot, and the construction of an effective guarantee mechanism.

Today, there are 41 universities offering graduate education programs in architecture. Those programs cover a number of different topics including architectural conservation and restoration, architectural restoration, architectural design, informatics in architectural design, architectural planning and design, architecture history, architectural history and theory, architecture and built environment, digital design in architecture and production. The council of higher education presents that 2978 master theses submitted and approved by Council of higher education. In this study, the master theses submitted to the graduate programs have been investigated. Matrix has been developed regarding o the sex, language, topics, universities. The types of graduate school are natural science and social science. The results of the study show that the number of female students is higher than the male students. The number of theses in Turkish is increasing. The increasing number of theses investigating build technology builds physics and building and construction and computational design is of importance. It is possible to determine that the current and popular topics of Turkish graduate programs in Architecture are in parallel with the prevailing agenda of World architecture. Key Words: theses in architecture, graduate level education, architectural education.

Dedicated industry professionals from design, construction, and health care are working to provide attractive, constructible, functional and safe home modifications for aging in place. The commitment is to keep senior members of local communities in the homes they love, rather than to segregate them into big box retirement communities. This study explores the confidence level of both individuals interested in aging place for themselves and their friends and family members in aging in place modifications. In additions to those interested in aging in place for themselves and their friends and family members, invested professionals from design, construction and health care are surveyed to measure their confidence in common modifications. A 3d walkthrough is tested to investigate if confidence levels increase with the use of a walkthrough to communicate recommended modifications.

Friends and family members of those intending to age in place were significantly more concerned about the safety of their aging person, than the aging person themselves. Those friends and family members were also more impacted by viewing the video walkthrough than any of the other groups.

In perimeter building zones with glass façades, controllable fenestration (daylighting/shading) and electric lighting systems are used as comfort delivery systems under dynamic weather conditions, and their operation affects daylight provision, outside view, lighting energy use, as well as overall occupant satisfaction with the visual environment. A well-designed daylighting and lighting control should be able to achieve high level of satisfaction while minimizing lighting energy consumption. Existing daylighting control studies focus on minimizing energy use with general visual comfort constraints, when adaptive and personalized controls are needed in high performance office buildings. Therefore, reliable and efficient models and methods for learning occupants’ personalized visual preference or satisfaction are required, and the development of optimal daylighting controls requires integrated considerations of visual preference/satisfaction and energy use.

In this Dissertation, a novel method is presented first for developing personalized visual satisfaction profiles in daylit offices using Bayesian inference. Unlike previous studies based on action data, a set of experiments with human subjects was designed and conducted to collect comparative visual preference data (by changing visual conditions) in private offices. A probit model structure was adopted to connect the comparative preference with a latent satisfaction utility model, assumed in the form of a parametrized Gaussian bell function. The distinct visual satisfaction models were then inferred using Bayesian approach with preference data. The posterior estimations of model parameters, and inferred satisfaction utility functions were investigated and compared, with results reflecting the different overall visual preference characteristics discovered for each person.

Second, we present an online visual preference elicitation learning framework for efficiently learning and eliciting occupants’ visual preference profiles and hidden satisfaction utilities. Another set of experiments with human subjects was conducted to implement the proposed learning algorithm in order to validate the feasibility of the method. A combination of Thompson sampling and pure exploration (uncertainty learning) methods was used to balance exploration and exploitation when targeting the near-maximum area of utility during the learning process. Distinctive visual preference profiles of 13 subjects were learned under different weather conditions, demonstrating the feasibility of the learning framework. Entropy of the distribution of the most preferred visual condition is computed for each learned preference profile to quantify the certainty. Learning speed varies with subjects, but using a single variable model (vertical illuminance on the eye), most subjects could be learned to an acceptable certainty level within one day of stable weather, which shows the efficiency of the method (learning outcomes).

Finally, a personalized shading control framework is developed to maximize occupant satisfaction while minimizing lighting energy use in daylit offices with roller shades. An integrated lighting-daylighting simulation model is used to predict lighting energy use while it also provides inputs for computing personalized visual preference profiles, previously developed using Bayesian inference from comparative preference data. The satisfaction utility and the predicted lighting energy use are then used to form an optimization framework. We demonstrate the results of: (i) a single objective formulation, where the satisfaction utility is simply used as a constraint to when minimizing lighting energy use and (ii) a multi-objective optimization scheme, where the satisfaction utility and predicted lighting energy use are formulated as parallel objectives. Unlike previous studies, we present a novel way to apply the MOO without assigning arbitrary weights to objectives: allowing occupants to be the final decision makers in real-time balancing between their personalized visual satisfaction and energy use considerations, within dynamic hidden optimal bounds – through a simple interface.

In summary, we present the first method to incorporate personalized visual preferences in optimal daylighting control, with energy use considerations, without using generic occupant behavior models or discomfort-based assumptions.

Current air conditioning systems generally operate with a relatively fixed moisture removal capacity, and indoor humidity conditions are usually not actively controlled in most buildings. If we focus only on sensible heat removal, an air conditioning system could operate with a fairly high evaporating temperature, and consequently a high coefficient of performance (COP). However, to provide an acceptable level of dehumidification, air conditioners typically operate with a much lower evaporating temperature (and lower COP) to ensure that the air is cooled below its dew point to achieve dehumidification. The latent (moisture related) loads in a space typically only represent around 20-30% of the total load in many environments; however, the air conditioning system operates 100% of the time at a low COP to address this small fraction of the load. To address issues associated with inadequate dehumidification and high energy consumption of conventional air conditioning systems, the use of a separate sensible and latent cooling (SSLC) system can dramatically increase system COP and provide active humidity control. Most current SSLC approaches that are reported in the literature require the installation of multiple components or systems in addition to a conventional air conditioner to separately address the sensible and latent loads. This approach increases the overall system installation and maintenance costs and complicates the controller design.

A sequential SSLC system is proposed and described in this work takes full advantage of readily available variable speed technology and utilizes independent speed control of both the compressor and evaporator fan, so that a single direct expansion (DX) air-conditioning (A/C) system can be operated in such a way to separately address the sensible and latent loads in a highly efficient manner. In this work, a numerical model of DX A/C system is developed and validated through experiential testing to predict the performance under varied equipment speeds and then used to investigate the energy saving potential with the implementation of the proposed sequential SSLC system. To realize the sequential SSLC system approach, various corresponding control strategies are proposed and explained in this work that minimizes energy consumption while provides active control over both space temperature and relative humidity. At the end of this document, the benefits of applying the SSLC system in a prototype residential building under different typical climate characteristics are demonstrated.

Although current augmented, virtual, and mixed reality (AR/VR/MR) systems are facing advanced and immersive experience in the entertainment industry with countless media forms. Theses systems suffer a lack of correct direct and indirect illumination modeling where the virtual objects render with the same lighting condition as the real environment. Some systems are using baked GI, pre-recorded textures, and light probes that are mostly accomplished offline to compensate for precomputed real-time global illumination (GI). Thus, illumination information can be extracted from the physical scene for interactively rendering the virtual objects into the real world which produces a more realistic final scene in real-time. This work approaches the problem of visual coherence in AR by proposing a system that detects the real-world lighting conditions in dynamic scenes, then uses the extracted illumination information to render the objects added to the scene. The system covers several major components to achieve a more realistic augmented reality outcome. First, the detection of the incident light (direct illumination) from the physical scene with the use of computer vision techniques based on the topological structural analysis of 2D images using a live-feed 360^o camera instrumented on an AR device that captures the entire radiance map. Also, the physics-based light polarization eliminates or reduces false-positive lights such as white surfaces, reflections, or glare which negatively affect the light detection process. Second, the simulation of the reflected light (indirect illumination) that bounce between the real-world surfaces to be rendered into the virtual objects and reflect their existence in the virtual world. Third, defining the shading characteristic/properties of the virtual object to depict the correct lighting assets with a suitable shadow casting. Fourth, the geometric properties of real-scene including plane detection, 3D surface reconstruction, and simple meshing are incorporated with the virtual scene for more realistic depth interactions between the real and virtual objects. These components are developed methods which assumed to be working simultaneously in real-time for photo-realistic AR. The system is tested with several lighting conditions to evaluate the accuracy of the results based on the error incurred between the real/virtual objects casting shadow and interactions. For system efficiency, the rendering time is compared with previous works and research. Further evaluation of human perception is conducted through a user study. The overall performance of the system is investigated to reduce the cost to a minimum.

Following a grounded theory research model, the research uncovered and presented the state of debris recycling to a national association of demolition contractors to measure their willingness and attitudes towards the growing trend in the circular economy and adapting their business models to incorporate it into their own contracts. The first part was finding the deficiencies in the current model based on government reports and through interviews with county-level emergency managers. Second, successful businesses that already use the circular economy design in their operations were used as exemplars to emulate and their opinions and suggestions were discussed. The outputs of the emergency managers and the successful businesses was folded into the third phase of the research with surveys to the membership of the National Demolition Association (NDA) with multiple-choice, scalar questions and open-ended, opinion-heavy questions throughout. The findings were reported back to the head of the partnering organization, the NDA, to focus outreach, training, and policy advocacy concentration for the national organization as a whole, but to related and tangentially-connected industries to their own.

The second generation of Network-on-Chips (NoC) are dynamic or adaptive providing a new set of benefits in terms of area overhead, performance, power consumption, fault tolerance and quality of service compared to the previous generation where the architecture is decided at design time. To improve resource efficiency and performance, the NoC must consider adaptive processes at several architectural levels, including the routing protocols, the router, the network interface and the network topology. This article focuses on adaptive Networks-on-Chip, namely adaptive topologies and adaptive routers.

Health information technology (HIT) systems including electronic health records (EHRs) have a market saturation nearing 92% at individual institutions but are still unsuited for cross-institutional collaboration of stakeholders (e.g., medical providers such as physicians, hospitals, clinics, labs, etc.) in support of health information exchange (HIE) of different HIT systems in geographically separate locations. In the computer science field, software architectures such as service-oriented architecture, grid computing, publish/subscribe paradigm, and data warehousing are well-established approaches for interoperation. However, the application of these software architectures to support HIE has not been significantly explored. To address this issue, this paper proposes an architectural solution for HIE that leverages established software architectural styles in conjunction with the emergent HL7 standard Fast Healthcare Interoperability Resources (FHIR). FHIR models healthcare data with XML or JSON schemas using a set of 93 resources to track a patient's clinical findings, problems, allergies, adverse events, history, suggested physician orders, care planning, etc. For each resource, a FHIR CRUD RESTful Application Program Interface (API) is defined to share data in a common format for each of the HITs that can then be easily accessible by mobile applications. This paper details an architectural solution for HIE using software architectural styles in conjunction with FHIR to allow HIT systems of stakeholders to be integrated to facilitate collaboration among medical providers. To demonstrate the feasibility and utility of HHIEA, a realistic regional healthcare scenario is introduced that illustrates the interactions of stakeholders across an integrated collection of HIT systems.

After more than 30 years, reconfigurable computing has grown from a concept to a mature field of science and technology. The cornerstone of this evolution is the field programmable gate array, a building block enabling the configuration of a custom hardware architecture. The departure from static von Neumann-like architectures opens the way to eliminate the instruction overhead and to optimize the execution speed and power consumption. FPGAs now live in a growing ecosystem of development tools, enabling software programmers to map algorithms directly onto hardware. Applications abound in many directions, including data centers, IoT, AI, image processing and space exploration. The increasing success of FPGAs is largely due to an improved toolchain with solid high-level synthesis support as well as a better integration with processor and memory systems. On the other hand, long compile times and complex design exploration remain areas for improvement. In this paper we address the evolution of FPGAs towards advanced multi-functional accelerators, discuss different programming models and their HLS language implementations, as well as high-performance tuning of FPGAs integrated into a heterogeneous platform. We pinpoint fallacies and pitfalls, and identify opportunities for language enhancements and architectural refinements.

The Cuban Revolution’s neglect of Havana (as part of a broader socialist project) simultaneously ruined and preserved its architectural and urban fabric. On one hand, Havana is crumbling, its fifty-plus year lack of maintenance inscribed on its cracked, decayed surfaces and the voids where buildings once stood; on the other, its formal urban fabric—its scale, dimensions, proportions, contrasts, continuities, solid/void relationships, rhythms, public spaces, and landscapes—remain intact. A free-market Cuba, while inevitable, leaves the city vulnerable to unsustainable urban development. And while many anticipate preservation, restoration, and urban development—particularly of Havana’s historic core (La Habana Vieja)—”business as usual” preservation practices resist rampant (read: neoliberal) development primarily through narrow strategies of exclusion (where, what, how, and why not to build), museumizing Havana as “a city frozen in time.”Seeking a third option at the intersection of this socialist/capitalist divide, this paper describes 4 student projects from THE CUBA STUDIO, a collaborative Integrative Urban Studio at Marywood University’s School of Architecture. Over the course of 16 weeks, students in THE CUBA STUDIO speculated urban futures for a post-revolutionary Havana–strategizing ways of preserving Havana’s architectural and urban fabric in the face of an emerging political and economic shift that is opening, albeit gradually, Cuba to global market forces. And rather than submitting to these forces, the work critically engages them toward socio-cultural ends. Some driving questions were: What kind of spatial politics do we deploy while retrofitting Havana? How will the social, political, and economic changes of an “open” Cuba affect Havana’s urban fabric? What role does preservation play? For that matter, what does preservation really mean and by what criteria are sites included in the preservation frame? What relationships are there (or could there be) between preservation, tourism, infrastructure, education, housing, and public space? In the process, students established systematic research agendas to reveal opportunities for integrated“soft” and “hard” interventions (i.e. siting and programing), constructing ecologies across a range of disciplinary territories including (but not limited to): architecture, urban design, historic preservation/ restoration, art, landscape urbanism, infrastructure,science + technology, economics, sustainability, urban policy, sociology, and cultural/political theory. An explicit goal of the studio was to expand and leverage“preservation” (as an idea, a discipline, and a practice) toward flexible and inclusive design strategies that frame precise architectural interventions at a range of temporal and geographic scales.