Cumincad : CUMINCAD Papers : Search Results

CumInCAD is a Cumulative Index about publications in Computer Aided Architectural Design
supported by the sibling associations ACADIA, CAADRIA, eCAADe, SIGraDi, ASCAAD and CAAD futures

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_id	caadria2023_403
id	caadria2023_403
authors	Kim, Jong Bum, Kim, Seongchan and Aman, Jayedi
year	2023
title	An Urban Building Energy Simulation Method Integrating Parametric BIM and Machine Learning
doi	https://doi.org/10.52842/conf.caadria.2023.1.665
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 665–674
summary	This research investigates a method of urban building energy simulation (UBES) by integrating Building Information Modeling (BIM), building simulation, and algorithm-based prediction to forecast the impact of surrounding conditions. In the urban context, building energy performances are determined not only by the individual building design but also by the building's surrounding context. Many energy performances are sensitive to outdoor and surrounding building conditions, such as neighbouring building volumes, heights, and spaces between buildings. However, such surrounding conditions were overlooked because they can exponentially increase the complexity of urban modeling and simulation. In that regard, the research sought to investigate a novel framework to take advantage of accurate performance simulations and algorithm-based fast predictions. This paper presents our UBES method implemented from three research phases: (i) building a parametric urban model in BIM to provide simulation inputs, (ii) creating a parametric simulation interface to produce training and validation data, and (iii) creating a prediction interface using a Support Vector Machine (SVR) algorithm. Lastly, the paper elaborates on the findings from the prediction results.
keywords	Urban Energy Simulation, Solar Accessibility, Surrounding Conditions, Parametric BIM, Machine Learning, Support Vector Machine, Sustainable Cities and Communities
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	ascaad2023_024
id	ascaad2023_024
authors	Afshar, Sepehr; Eshaghi, Sarvin; Kim, Ikhwan; Afshar, Sana
year	2023
title	Leveraging Landscape Architecture and Environmental Storytelling for NextGeneration Gaming Experiences: A Holistic Approach to Virtual World Design
source	C+++: Computation, Culture, and Context – Proceedings of the 11th International Conference of the Arab Society for Computation in Architecture, Art and Design (ASCAAD), University of Petra, Amman, Jordan [Hybrid Conference] 7-9 November 2023, pp. 639-651.
summary	Designing a virtual environment within a digital game occupies a large part of the design procedure, requiring holistic attention and a broad arrangement of the game constituents. Considering other design disciplines, they occupy a unified design methodology; however, a comprehensive literature review reveals the lack of the intended design methodology in the digital game domain's virtual environment development, despite a currently proposed theoretical methodology trying to dissolve the issue. Hence, this research aims to determine the industry's requirements and provide a set of assets included in current digital games as an initial step of providing such a design methodology for the domain. In this regard, the researchers reverse-engineered ten selected digital games, understanding the current condition of digital games via adopting the mentioned currently available design methodology. This dataset reveals a lack in the assets of the story layer in the recent digital games, despite their focus on being story-based. This dilemma leads to long text or speech conversations between game characters, disrupting the players while following the game. The current design focuses on environmental resources only, however, as a virtual landscape, the story needs to be reinforced to be a balanced and well-designed game. Hence, increasing the ratio of the assets in this layer will advance the games' interactivity. Also, as future work, this data set could pave the way for a digital game industry design tool regarding the virtual environment.
series	ASCAAD
email
last changed	2024/02/13 14:34

_id	ecaade2023_51
id	ecaade2023_51
authors	Aman, Jayedi, Kim, Jong Bum and Verniz, Debora
year	2023
title	AI-Integrated Urban Building Energy Simulation: A framework to forecast the morphological impact on daylight availability
doi	https://doi.org/10.52842/conf.ecaade.2023.2.369
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 369–378
summary	The research presents a computational framework to investigate the relationship between urban morphology and environmental performance metrics of buildings. Understanding how buildings interact with their surroundings is crucial in optimizing environmental performance. Current urban building energy simulation methods (UBES) often overlook the complex interaction between urban morphology and environmental performance across a diverse set of attributes, resulting in inaccuracies. The proposed framework integrates machine learning (ML) with physics-based simulations and includes Parametric Building Information Modeling, iterative physics-based simulations, Multi-Objective Optimization, and a graph neural network. The framework leverages the detailed analysis capabilities of physics-based simulations and the data processing strengths of ML to analyze urban morphological attributes. Evaluations indicate that the framework enhances prediction accuracy while considering the influence of urban morphology on environmental performance.
keywords	Urban Morphology, Urban Building Energy Modeling, Graph Neural Networks, Sustainable Urban Development, Environmental Performance, Multi-objective Optimization
series	eCAADe
email
last changed	2023/12/10 10:49

_id	acadia23_v2_408
id	acadia23_v2_408
authors	C Kim, Frederick; Johanes, Mikhael; Huang, Jeffrey
year	2023
title	Flow2Form: A Flow-Driven Computational Framework for Early Stage Architectural Design
source	ACADIA 2023: Habits of the Anthropocene: Scarcity and Abundance in a Post-Material Economy [Volume 2: Proceedings of the 43rd Annual Conference for the Association for Computer Aided Design in Architecture (ACADIA) ISBN 979-8-9891764-0-3]. Denver. 26-28 October 2023. edited by A. Crawford, N. Diniz, R. Beckett, J. Vanucchi, M. Swackhamer 408-418.
summary	Flows have been a persistent theme as a rational and formal basis for architecture. This paper introduces a flow-based design framework for architecture using parametric modeling and machine learning analysis. It explores the integration of flows’ rational and figurative aspects into the early stages of the design process. The research employs para- metric tools and machine learning algorithms to represent and analyze flows, focusing on the artisanal and craft processes aiming for circular proto-typology as a transfor- mative architecture. The framework involves three stages: 3D flow modeling, machine learning analysis of formal and topological properties, and process-based programming and optimization. The results include volumetric representations of 16 artisanal flows and the classification of nodes based on their formal and topological characteristics. The framework enables the exploration of flow-driven architectural design, and bridges the gap between human interpretation and computational design. The research contributes to understanding flows to form in architecture, and the potential of machine learning in shaping architectural space.
series	ACADIA
type	paper
email
last changed	2024/12/20 09:12

_id	ecaade2023_258
id	ecaade2023_258
authors	Hong, Soon Min, Kim, Geunjae, Gu, Hyeongmo, Kim, Taehoon and Choo, Seungyeon
year	2023
title	Development of Building Component Combination Algorithms for Generative Design-based DfMA Applications
doi	https://doi.org/10.52842/conf.ecaade.2023.2.207
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 207–216
summary	The AEC industry faces challenges such as low productivity, high carbon emissions, labor shortages, and construction site accidents. To address these issues, the industry focuses on MMC and DfMA based on BIM. This research paper develops building component combination algorithms for generative design-based applications. Using GD, the proposed method optimises the layout and selection of building components while considering construction costs and a specified budget range. A case study of a five-component building system with four types of components demonstrates the method's ability to generate diverse design alternatives. Designers can efficiently explore and evaluate these alternatives based on economic and design criteria. However, the method has limitations, such as the exclusion of MEP facilities as GD parameters and the focus on optimising the budget as a single goal. Nevertheless, this study lays the foundation for applying DfMA in the early design stage and utilizing GD technology in construction projects.
keywords	DfMA, OSC, Generative Design, Optimisation
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ijac202321305
id	ijac202321305
authors	Kim, Jong Bum; Danielle Oprean; Laura Cole; Laura Zangori
year	2023
title	Illumi’s world: A mini-game development with parametric BIM-based simulations
source	International Journal of Architectural Computing 2023, Vol. 21 - no. 3, 462–477
summary	The research investigates the design and development of a serious game to teach green building design and energy literacy in rural middle schools in the United States. The paper presents a pilot study, education minigame development integrated with parametric BIM and energy simulations. The game scenario was built on the developed science curriculum modules in our funded research, teaching building energy technologies such as daylighting, artificial lighting, window configurations, building materials, solar panels, etc. The minigame, Illumi’s World, presents a baseline science lab and a media library of typical public schools in the United States. The players have the opportunity to improve energy literacy in several ways: manipulating the building configurations and the energy options, reviewing energy costs and emission level changes, and monitoring the performance from the game dashboards. This paper presents background theory, curriculum design, the mini-game development framework, methods and tools for energy simulation and BIM visualization, and the findings and challenges.
keywords	Game-based learning, green building literacy, systems thinking, model-based reasoning, building information modeling, energy simulation
series	journal
last changed	2024/04/17 14:30

_id	ecaade2023_52
id	ecaade2023_52
authors	Le, Thanh-Luan and Kim, Sung-Ah
year	2023
title	Game-based Platform for Daylight Analysis using Deep Learning
doi	https://doi.org/10.52842/conf.ecaade.2023.2.481
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 481–490
summary	Daylight analysis is not easy and requires skills in specific software and techniques and significant computation time. These skills are necessary for architecture education, but some students may find them challenging. For this reason, a software-free and simulation-free approach that quickly calculates daylight performance may be a more effective way for students to learn and practice architecture design. From these ideas, a game environment, which is familiar to the young generation, may enhance the excitement and engagement of education in this field. The development of a cubic builder game platform that utilizes the Deep Learning Model (DLM) to help users learn about daylight analysis within the game environment is currently underway. This paper presents the preliminary results of this study that focused on exploring methods for implementing and using DLM to predict daylight performance in a game environment. Using a drawing canvas, users can give design inputs in this environment. A framework involving three steps has been developed to combine data from the design and gaming environments. First, small-scale building models with specific design contexts and simulation data were created in Rhino and Grasshopper using LadyBugs and HoneyBee. Second, a DLM was trained on these data to make predictions. Last, developing the game environment with the well-trained DLM in Unity3D. Through analysis, the DLM's performance in game environments confirmed the potential of this approach. A building system will fully implement the game environment in future research. The DLM's predictive performance will be enhanced using more extensive and diverse data sets.
keywords	Daylight Simulation, Architecture Education, Game-based, Unity3D, Deep Learning
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2023_91
id	ecaade2023_91
authors	Rezakhani, Mojgan and Kim, Sung-Ah
year	2023
title	Utilizing Web Applications for Developing Digital Twin: Case study urban tunnel with kinetic roof
doi	https://doi.org/10.52842/conf.ecaade.2023.2.791
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 791–800
summary	The integration of web technology within digital twin technology enables the ability to design collaboratively and transmit changes in real time between participating online users. Platforms such as Autodesk Platform Services (APS) - formerly Forge - have made it possible to create and share digital twins, which can be used to monitor, analyze data, and automate design. A gap exists in understanding how movement models combine with coding, particularly within kinetic architecture. In order to fill this gap, we have presented an APS application providing web-based visualization capabilities. This extension allows for the collection of real-time data from sensors located at a tunnel site, which is then sent to the cloud for analysis. This data can be used to manage risk circumstances and track the overall well-being of the kinetic roof tunnel. The methodology used in this study includes prototyping and experimentation using a case study that centers on a 3D model. Our model differs from the APS model’s default system in that it emphasizes the presence of kinetic objects, and was prototyped in a use case, which will be later applied to real case studies. To overcome technical limitations in web-based modeling, editable geometry vertices are essential for flexible parametric changes, and automated data transfer is crucial. This research will contribute to the development of web-based systems for digital twins that include kinetic elements, and that is expected to be useful for professionals in the field of architecture, engineering, and construction, as well as researchers and students in the field of kinetic architecture.
keywords	Digital twin, Autodesk Platform Services (APS), Web, Kinetic
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ijac202321306
id	ijac202321306
authors	Ricafort, Kim; Mohammed Makki
year	2023
title	Urban flood resilience in Kampung Melayu: A multi-objective evolutionary approach
source	International Journal of Architectural Computing 2023, Vol. 21 - no. 3, 478–497
summary	The superblock of Kampung Melayu in Jakarta, Indonesia, is an urban morphology amalgamated by the environmental and infrastructure challenges raised by Jakarta’s inevitable urban growth. Low-income settlements like Kampung Melayu are particularly susceptible as a result of the city’s rapid and uncontrolled urban sprawl, erratic tropical weather, increasing sea levels and unparalleled environmental stresses. The proposed research utilises a multi-objective evolutionary algorithm (MOEA) for an in-depth investigation of the many relationships within the urban fabric to address these difficulties. The experiments demonstrate an alternate urban strategy for a flood-resilient Kampung that investigates the selection techniques coupled with the use of population-based algorithms. While preserving the irregularity that has been ingrained in the history of the urban form, the results address the environmental and demographic stresses of the urban village.
keywords	Jakarta, Kampung Melayu, MOEA, evolutionary algorithm, computational design, Urban growth, flood resilience
series	journal
last changed	2024/04/17 14:30

_id	ecaade2023_198
id	ecaade2023_198
authors	Jahandideh, Romman, Jahandideh, Aran and Kim, Ikhwan
year	2023
title	Creating Immersive Virtual Landscapes A User-Centered Approach to Enhance Depth Perception in Head-Mounted Displays
doi	https://doi.org/10.52842/conf.ecaade.2023.1.149
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 1, Graz, 20-22 September 2023, pp. 149–158
summary	This paper investigates the effects of color, luminance, and transparency as depth distortion cues in Virtual Reality (VR) Head-mounted Displays (HMD). The aim is to tackle more in-depth immersion: focusing on interaction accuracy with transparent objects in HMDs. Due to the illumination and absence of texture, transparent objects are mainly displayed with colors. Recently, studies on transparent hands and objects have elucidated potential approaches regarding interaction with transparent elements. However, findings have not considered color and luminance as depth distortion cues for interacting in virtual landscapes. This paper used the forced-choice pairwise comparison experiment method and evaluated data based on the Kendall coefficient of agreement and consistency. Reverse effects of transparency on color and luminance are discovered. Cool colors are perceived nearer than warm colors in 90% transparency. Dark colors are sensed closer than bright colors in high transparency levels. These results reject the classical effects of color and luminance within VR HMDs. These findings help VR design tool developers who emphasize a particular use of depth cues. Designers can utilize the studied effects of color and luminance on transparent objects as an advantage in designing more interactive and immersive virtual landscapes.
keywords	Virtual Landscapes, Immersion, Human-Computer Interaction, VR Head Mounted Displays, Depth Perception
series	eCAADe
email
last changed	2023/12/10 10:49

_id	cdrf2023_248
id	cdrf2023_248
authors	Jeffrey Huang, Frederick Chando Kim, Mikhael Johanes
year	2023
title	Parametric Sankey: Interactive Mapping of Complex Material Flows for Urban and Architectural Design
doi	https://doi.org/https://doi.org/10.1007/978-981-99-8405-3_21
source	Proceedings of the 2023 DigitalFUTURES The 5st International Conference on Computational Design and Robotic Fabrication (CDRF 2023)
summary	The mapping of flows in a city is essential for understanding urban systems and enabling the transition of the city into a circular economy. However, while tools for the virtual representations of physical volumes and spaces in urban environments have proliferated, effective tools for modeling the underlying flows are still missing. This paper discusses the development of Parametric Sankey, a tool for the trans-scalar representation of flows, and demonstrates its instrumentation in a research design process. The proposed Parametric Sankey tool overlays different flow categories (material, energy, labor, customer, waste, etc.) into one dynamic trans-scalar system, enabling interactive processes between analysis and intervention, and providing thereby an experimental interface to envision future circular cities and architectures.
series	cdrf
email
last changed	2024/05/29 14:04

_id	caadria2023_182
id	caadria2023_182
authors	Ji, Seung Yeul, KIM, Mi KYOUNG, BAE, JIN CHEOL, KANG, SE YEON and JUN, HAN JONG
year	2023
title	Implementation Of A Human-centric Interactive Smart Space Using EEG And Face Emotion AI
doi	https://doi.org/10.52842/conf.caadria.2023.1.453
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 453–462
summary	Various approaches have been proposed to create a smart space using a variety of sensors and instil positive emotions in a user- centred space. The core feature of building human-centric smart space is the analysis of user space using various sensors. In particular, as biometric sensors used in medical applications involving humans are simple and fused, research to use them in everyday environments is being actively conducted. In this study, digital twins were used to monitor humans in the building space using EEG data, analyse their situational characteristics, and create a smart environment. However, to compensate for the limitations associated with accurate expression of emotional information using only brain waves, the emotional states users were supplemented through the image-based Face Emotion AI, and a smart space was established to improve the emotional states of users.
keywords	Human-centric, Smart Space, Face Emotion AI, Face Emotion AI using Vision, EEG
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	caadria2023_12
id	caadria2023_12
authors	Kim, Dongyun, Lee, Lloyd Sukgyo and Kim, Hanjun
year	2023
title	Elemental Sabotage: Diffusing Functional Morphologies
doi	https://doi.org/10.52842/conf.caadria.2023.1.029
source	Immanuel Koh, Dagmar Reinhardt, Mohammed Makki, Mona Khakhar, Nic Bao (eds.), HUMAN-CENTRIC - Proceedings of the 28th CAADRIA Conference, Ahmedabad, 18-24 March 2023, pp. 29–38
summary	What modernism has failed discuss is the sheer diversity of forms that can come with a singular function. Their order led to the systematisation of standardised architectural elements that are now widely used around the world. However, functions of architecture have manifested into a multitude of forms across different cultures. For instance, the roof of the Korean traditional architectural type, Hanok, can be easily differentiated from the Victorian gable roof. The function-form relationship in architecture has long been investigated, but there is a lack of objective tool or technique that directly contributes to categorisation or diversification of existing architectural forms. With the advent of novel Machine Learning techniques, especially Generative Adversarial Networks (GANs), architectural forms can now be traced with objective methodologies such as a probabilistic-based model. This paper seeks to increase architectural diversity, borrowing the objectivity of state-of-the-art machine learning techniques in three dimensions such as 3D GAN.
keywords	Generative Adversarial Networks, 3D GAN, Morphology, Semiology, Form-finding
series	CAADRIA
email
last changed	2023/06/15 23:14

_id	ecaade2023_253
id	ecaade2023_253
authors	Kim, Eonyong and Park, JongJin
year	2023
title	Using Digital Twins for Architectural Heritages
doi	https://doi.org/10.52842/conf.ecaade.2023.2.681
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 681–690
summary	This research project explores the use of digital twin technology and sensor hub data for the preservation and management of architectural heritages. The project focuses on the development of a comprehensive management system for traditional buildings in Andong, South Korea, utilizing digital twin technology and sensor hub data. The project aims to critically examine the use of digital twin technology and investigate the efficacy of different methodologies for creating detailed digital models of traditional buildings, including laser scanning and photogrammetry. Real-time data from sensor hubs installed at the sites is collected and analyzed to provide stakeholders with a comprehensive and dynamic understanding of the buildings' condition. Infrastructure obstacles, such as a lack of power for sensors and LTE routers, are addressed through the implementation of sustainable and effective solutions such as solar power. The project aims to develop best practices and insights for the preservation and management of architectural heritages using digital twin technology and contribute to the field of heritage conservation.
keywords	Digital Twins, Heritages, Korea Traditional building, Sensors, IoT
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2023_197
id	ecaade2023_197
authors	Kim, Frederick Chando, Johanes, Mikhael and Huang, Jeffrey
year	2023
title	Text2Form Diffusion: Framework for learning curated architectural vocabulary
doi	https://doi.org/10.52842/conf.ecaade.2023.1.079
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 1, Graz, 20-22 September 2023, pp. 79–88
summary	Stepping towards the machine learning age in architecture, many architects and researchers have developed creative ways of utilizing machine learning with domain-specific architectural datasets in recent years. With the rising popularity of large language-based text-to-image models, architects have relied on different strategies for developing the prompt to create satisfactory images representing architecture, which lessens the agency of the architects in the process. We explore alternative ways of working with such models and put forward the role of designers through the fine-tuning process. This research proses a fine-tuning framework of a pre-trained language model, namely Stable Diffusion, with a dataset of formal architectural vocabularies towards developing a new way of understanding architectural form through human-machine collaboration. This paper explores the creation of an annotation system for machines to learn and understand architectural forms. The results showcased a promising method combining different formal characteristics for architectural form generation and ultimately contributing to the discourse of form and language in architecture in the age of large deep learning models.
keywords	machine learning, diffusion model, architectural form, text-to-architecture
series	eCAADe
email
last changed	2023/12/10 10:49

_id	ecaade2023_256
id	ecaade2023_256
authors	Panya, David Stephen, Kim, Taehoon, Hyeongmo, Gu and Choo, Seungyeon
year	2023
title	Development of a Real-time BIM-VR Multi-Collaborative Design Environment
doi	https://doi.org/10.52842/conf.ecaade.2023.2.733
source	Dokonal, W, Hirschberg, U and Wurzer, G (eds.), Digital Design Reconsidered - Proceedings of the 41st Conference on Education and Research in Computer Aided Architectural Design in Europe (eCAADe 2023) - Volume 2, Graz, 20-22 September 2023, pp. 733–739
summary	Construction 4.0 technologies are transforming AEC designs and processes. Metaverses are developing rapidly and are being adopted in various industries as the future of the internet. The metaverse is an augmented world that allows individuals to penetrate and engage. Nevertheless, many people and businesses are still unaware of the potential uses of this technology. Virtual Reality, which is part of the fundamentals of the metaverse convergence with BIM technology, has improved in research and application in the AEC industry. The AEC industry has recently adopted both Building Information Modeling (BIM) and Virtual Reality (VR) as combined tools aiming at increasing collaboration ability among project team members as well as detecting clashes and correcting flaws before construction begins. This presents a multi-collaborative design as a potential requirement for BIM processes in the metaverse. The authors presented a platform that connects multiple VR environments through an online network to create a real-time-shared VR space that supports BIM models in real-time for collaborative design. The BIM-VR environment uses a game engine to create a session where individuals can upload their 3D BIM models in real-time which can be viewed by all users. This study presents that a collaborative environment that supports users and BIM models is the initial step to a BIM-based metaverse in the AEC industry.
keywords	BIM, Virtual Reality, Metaverse, Collaborative Design
series	eCAADe
email
last changed	2023/12/10 10:49

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