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1st International Conference on Visionary Action Towards Liveable Urban Environments, VALUE 2020

作者： Sudha, G. School of Architecture and Interior Design SRM Institute of Science and Technology Kattankulathur Chengalpattu Tamilnadu India

ISBN: (纸本)9789811595844

Buildings and construction account for more than 35% of global final energy use and nearly 40% of energy-related CO2 emissions (Global status report 2017, International Energy Agency for the Global Alliance for Buildings and Construction). Building’s envelope contributes significantly to energy consumption, especially in office buildings which use extensive glazed facades. Building envelope largely includes the various components of external façade such as walls, roof, windows and shading elements. The design of building envelope affects visual and thermal comfort in the adjoining spaces. Failure to meet the thermal and visual comfort requirements in indoor spaces results in occupants depending on mechanical conditioning systems and electrical lighting systems which increases the energy consumption in building. Hence, optimizing the envelope system will contribute largely to the energy savings in a building. This study aims at quantifying the contribution of various envelope components towards the energy optimization of an office building. Building envelope designed for an office occupancy in a warm humid climatic zone has been analysed for its energy performance in terms of various components which include thermal properties of walls, roof and glazing, window-to-wall ratio and shading elements. Analysis has been done by simulating the envelope optimized building design against the base case as prescribed by Energy Conservation Building Code, using an environmental analysis software tool. The results establish the impact of various envelope components on the energy consumption of the building. The findings emphasize the provision of an appropriate shading device as the highest contributor towards achieving the goal of energy efficiency by reducing the solar heat gain. Hence, careful consideration must be given in designing the shading elements in warm humid climatic zone as it can significantly change the performance of other components of an integrated building, na

关键词： Energy efficiency

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Sustainable brand logo selection using an AI-Supported PF-WENSLO-ARLON hybrid method

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EXPERT SYSTEMS WITH APPLICATIONS 2025年 260卷

作者： Kara, Karahan Ergin, Elif Akagun Yalcin, Galip Cihan Celik, Tugce Deveci, Muhammet Kadry, Seifedine Izmir Demokrasi Univ Fac Econ & Adm Sci Dept Business TR-35140 Izmir Turkiye OSTIM Tech Univ Dept Mkt TR-06374 Ankara Turkiye Kirikkale Univ Math Program TR-71450 Yahsihan Kirikkale Turkiye OSTIM Tech Univ Fac Architecture & Design Dept Interior Architecture & Environm Design TR-06374 Ankara Turkiye Natl Def Univ Turkish Naval Acad Dept Ind Engn TR-34942 Istanbul Turkiye Imperial Coll London Royal Sch Mines London SW7 2AZ England Western Caspian Univ Dept Informat Technol Baku 1001 Azerbaijan Lebanese Amer Univ Dept Comp Sci & Math Beirut Lebanon Middle East Univ MEU Res Unit Amman 11831 Jordan

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.

关键词： Sustainable Brand Logo Artificial Intelligence-Supported Logo design Picture Fuzzy Sets Weights by Envelope and Slope Method Alternative Ranking using Two-Step Logarithmic Normalization Method Picture Fuzzy Yager Weighted Average Aggregation Operator

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The Bodily and the Divine: Study of a 10th Century Hindu Temple in Rajasthan, India

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JOURNAL OF interior design 2021年第1期46卷 61-71页

作者： Patel, Tina Alfaro, Sarah M. Angne Swaranjali, Pallavi Kent State Univ Coll Architecture & Environm Design Kent OH 44242 USA Ball State Univ Coll Architecture & Planning Muncie IN 47306 USA Algonquin Coll Interior Design Program Ottawa ON Canada

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.

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Empower Hub: Sustainable Innovative Navigation and Smart interior design

Empower Hub: Sustainable Innovative Navigation and Smart Int...

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International Conference on Sustainable Mobility Applications, Renewables and Technology (SMART)

作者： Manoon Nasri Abdalla Mohammed Al Falasi Haythem El-Messiry School of Architecture and Interior Design Canadian university Dubai School of Engineering Applied science and Technology Canadian university Dubai Department of Computer Science Canadian University Dubai

ISBN: (数字)9798331532925

ISBN: (纸本)9798331532932

This paper will conclude the integration between smart interior design and Artificial Intelligence including sustainability within design principles and functions. Presenting “Empower hub” a center that is specifically devoted to people with physical disabilities that concludes AI in the infrastructure. Using sustainable materials and energy-efficient lighting are the objectives. This can include solar power smart systems and adaptive technology, which greatly assist people with various types of impairments, and it is not adequately integrated in many sectors. The design focus is to address the special needs of people with visual, auditory, or mobility impairments, utilize state-of-the-art adaptive technology. Therefore, navigation assistance and motion detection systems are being proposed for the center. The smart prototypes will process data and sensors that will detect movements for smooth access. In addition to proximity sensors that can be vocal to ensure audio assistance. Most of those sensors will be powered by solar energy to ensure the sustainable factor of the project in addition to reducing energy consumption. Overall, the research will conclude the integration of AI and interior design while applying sustainable design principles in interior design with the integration of machine learning to benefit people of determination in order of accessibility and function to allow them to give back to society by giving them easy access to ensure their safety and wellbeing.

关键词： Visualization Renewable energy sources Navigation Prototypes Solar energy Smart systems Motion detection Safety Sustainable development Intelligent sensors

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Survey on Use of AI/ML Algorithms in Enhancing Filesystem Performance and Efficiency

Survey on Use of AI/ML Algorithms in Enhancing Filesystem Pe...

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International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions)

作者： Vijay Olekar Yash Patil Vishvam Pawar Shubham Pitale V R. Jaiswal Vishal Naranje Dept. of Information Technology Pune Institute of Computer Technology Pune Pune India School of Engineering Architecture and Interior Design Amity University Dubai

ISBN: (数字)9798350350357

ISBN: (纸本)9798350350364

The processing power of CPUs is increasing day by day, but systems often struggle to fully utilize this power due to the bottleneck of file access time from the disk. Over the years, various techniques have been devised to reduce I/O latency while considering various file parameters. Our survey paper aims to shed light on these techniques, efficiently comparing them and highlighting the benefits and drawbacks of each approach. For our evaluation, we have considered various file parameters, such as access time, file size, directory structure, and kernel execution flow. We have combined these parameters with a range of supervised and unsupervised machine learning algorithms, including Decision Tree, ABLE, RNN, GNN, CART, XGBoost, CNN, and more. This survey aims to highlight the use of ML/AI algorithms in the intelligent detection of file access and I/O patterns to optimize the performance of modern applications.

关键词： Surveys Machine learning algorithms Adaptive systems File systems System performance Neural networks Predictive models

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Effects of Adopting Industry 4.0 on a Manufacturing Plant

Effects of Adopting Industry 4.0 on a Manufacturing Plant

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International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions)

作者： Pranav Waghanna Akash Reddy Sarthak Deshpande Siddhant Chavan Vishal R. Jaiswal Vishal Naranje BE IT Department of Pune Institute of Computer Technology Pune IT Department of Pune Institute of Computer Technology Pune School of Engineering Architecture and Interior Design Amity University Dubai

ISBN: (数字)9798350350357

ISBN: (纸本)9798350350364

In the era of Industry 4.0, Smart Manufacturing is reshaping how things are made. At the heart of it is the Industrial Internet of Things (IIoT), where smart sensors and connections create a digital system for factories. This paper highlights how IIoT facilitates real-time data exchange, aiding quick decision-making and creating adaptable manufacturing setups. Cyber-Physical Systems (CPS) integration is also discussed, showing how the line between physical and digital elements in manufacturing is getting blurred. Big Data Analytics is another game-changer, supporting data-driven decisions and predictive maintenance. The paper also digs into Artificial Intelligence and Machine Learning, showing how they automate tasks and continuously learn, improving manufacturing processes. Real-world applications are examined, including Digital Twins, advanced robotics like collaborative robots (Cobots), 3D printing, and smart supply chain management. While Smart Manufacturing offers numerous benefits, it's not without challenges. The survey talks about security and privacy concerns, emphasizing the need for strong cybersecurity. Interoperability, ensuring different technologies work seamlessly together, and addressing the workforce skills gap are also explored. The paper ends with examples of successful implementations and looks at future trends, such as the impact of 5G, blockchain in supply chain management, human augmentation, and the push for sustainability in Smart Manufacturing. This survey is a practical guide for anyone interested in understanding the current state and where Smart Manufacturing is headed in the world of Industry 4.0.

关键词： Industries Surveys Technological innovation Supply chain management Market research Fourth Industrial Revolution Sustainable development

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Detection of viral messages in twitter using context-based sentiment analysis framework

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International Journal of Information Technology (Singapore) 2024年第8期16卷 5069-5075页

作者： Marriwala, Nikhil Kumar Shukla, Vinod Kumar William, P. Guleria, Kalpna Sobti, Rajni Sharma, Shagun Electronics and Communication Engineering Department University Institute of Engineering and Technology Kurukshetra University Information Technology Head of Academics School of Engineering Architecture Interior Design Amity University Dubai Dubai International Academic City Department of Information Technology Sanjivani College of Engineering SPPU Chitkara University Institute of Engineering and Technology Chitkara University University Institute of Engineering and Technology Panjab University

The prevalence of social media sites like Twitter has made it simpler for individuals and organizations to disseminate incorrect facts or misinformation that can sway public opinion and behavior. It is crucial to create a trustworthy system that can recognize the sentiment of tweets in their context, analyze that sentiment, and pinpoint those that are spreading quickly and could be potentially damaging or deceptive. Hence, to identify viral tweets on Twitter, we suggest a new remora-optimized twofold gated attention neural network (RO-TGANN). This research’s word representation also creates weighted word vectors by including sentiment data in the term frequency-inverse document frequency (TF-IDF) algorithm. The resulting vectors are entered into RO-TGANN to better represent the comment vectors and efficiently collect context information. Multi-layer perceptron (MLP) classification is also employed to determine the sentiment pattern of the message. The proposed technique is contrasted with the current sentiment analytical techniques under comparable circumstances. According to the empirical results, the suggested analytical approach for sentiment classification has a greater accuracy, f-score, precision, and recall. The creation of such a technique can aid in the drive to encourage ethical social networking usage and limit the transmission of dangerous posts on social networking sites. © Bharati Vidyapeeth's Institute of Computer Applications and Management 2024.

关键词： Context information Multi-layer perceptron (MLP) Remora optimized context-sensitive twofold gated attention neural network (RO-TGANN) Social media Twitter Viral message

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Appraising the Influence of Ceramic Waste Incorporation on the Corrosion and Chemical Attack Resistance of Cement Composites: A Review

Appraising the Influence of Ceramic Waste Incorporation on t...

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International Conference on Structures, Materials and Construction, ICSMC 2021

作者： Agrawal, Anjali Jothi Saravanan, T. Kabeer, K. I. Syed Ahmed Bisht, Kunal Department of Civil and Environmental Engineering Politecnico di Milano Milano Italy School of Infrastructure Indian Institute of Technology Bhubaneswar Bhubaneswar India School of Architecture and Interior Design SRM Institute of Science and Technology Chennai India Department of Civil Engineering KIET Group of Institutions Delhi NCR Uttar Pradesh Ghaziabad India

ISBN: (纸本)9789811940392

The exploitation of waste material in the production of cementitious composites such as mortar and concrete is featured as an emerging research area aiming to curtail cement requirements. This article focuses on the utilisation of ceramic waste for partial cement replacement, reviewing its influence on the corrosion and chemical attack resistance of cementitious composites. The reviewed literature majorly highlights an enhancement in corrosion and chemical attack resistance on exposure to sulphate and chloride attacks for composites having up to 40% ceramic waste. The bulk electrical resistivity test and the rapid chloride penetration test indicated superior corrosion protection on incorporating high ceramic waste content. The pozzolanic reaction and filling effect of ceramic waste favour microstructure refinement and densification, reducing pore connectivity and improving corrosion and chemical attack resistance. The evaluation of the feasibility of using ceramic waste lays out a sustainable choice for achieving desirable properties while simultaneously recognising environmental benefits, reducing the carbon footprint of the construction industry. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

关键词： Sulfur compounds

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Effects of natural light on improving the lighting and energy efficiency of buildings: toward low energy consumption and CO2 emission

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INTERNATIONAL JOURNAL OF LOW-CARBON TECHNOLOGIES 2024年第19期19卷 296-305页

作者： Bashir, Faizah Mohammed Dodo, Yakubu Aminu Mohamed, Mohamed Ahmed said Norwawi, Norita Md Shannan, Nahla M. Afghan, Amirhossein Aghajani Univ Hail Dept Decorat & Interior Design Hail 55476 Saudi Arabia Najran Univ Architectural Engn Dept Najran 66426 Saudi Arabia Univ Hail Dept Architectural Engn Hail 55476 Saudi Arabia Sudan Univ Sci & Technol Khartoum Coll Architecture Khartoum Sudan Univ Sains Islam Malaysia Fac Sci & Technol Nilai Negeri Sembilan Malaysia Univ Hail Appl Coll Program Elect & Telecommun Engn Technol Hail Saudi Arabia Iran Univ Sci & Technol Dept Mech Engn Tehran Iran

Visual information acquisition is essential for our daily lives, with vision relying on the presence of light. Lighting systems serve the fundamental purpose of enabling vision. This study aims to contribute to sustainable architectural design by emphasizing the efficient utilization of natural daylight. Specifically, the design of skylights or light wells in low-lateral-area, deep-depth structures is of significant importance. While current design criteria consider skylight dimensions and the skylight-to-building height ratio, these factors alone may not suffice for optimal skylight design. To achieve an appropriate lighting and architectural design for such structures, it is essential to evaluate the factors influencing the required amount of daylight on different floors. This study aims to investigate the impact of skylights and light wells on the energy consumption and CO2 emissions of a four-storey building located in Hail, Kingdom of Saudi Arabia. The physical parameters of skylights and light wells were analyzed, taking into account various aspects that affect the amount of light reaching different levels. The findings highlight the significant influence of skylight size on the light reaching the building's floors. For square skylights, reducing the well index (increasing skylight size) exponentially increases the daylight factor. Furthermore, this study evaluates the annual energy consumption and carbon dioxide emissions of the building, considering the daylighting factor. The results demonstrate that skylights contribute to increased solar heat gain, thermal conductance, and artificial lighting efficiency. Notably, as the lighting factor of the building increases from 3% to 6%, there is an annual decrease of 3% in CO2 emissions.

关键词： lighting efficiency natural light daylight factor skylight energy consumption CO2 emission

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Survey on People’s Opinions Regarding Façade Lighting and Light Pollution: The Case Study of Greece

Survey on People’s Opinions Regarding Façade Lighting and ...

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Sustainable Smart Lighting World Conference & Expo (LS18), IEEE

作者： Militsa Tomasovits Thanos Balafoutis Aris Tsangrassoulis Rebeka Vital Stelios Zerefos Lambros T. Doulos School of Applied Arts and Sustainable Design Hellenic Open University Patras Greece Department of Architecture University of Thessaly Volos Greece Department of Interior Building and Environment Design Shenkar College of Engineering Design and Art Ramat Gan Israel

ISBN: (数字)9798331540197

ISBN: (纸本)9798331540203

Light pollution is part of the contemporary environmental crisis that threatens directly and indirectly humans and biodiversity. This phenomenon has been deteriorating the last years. Scientists have given the last decades prominence to the need for proper urban lighting design, including buildings’ façade lighting, that causes less light pollution and energy consumption. Based on the available literature and research, façade lighting significantly contributes to the increase of the night sky glow near cities. Being part of the general urban lighting, façade lighting has not been studied though sufficiently concerning its impact on light pollution. In addition, the absence of strict restrictions applied on light pollution caused by façade lighting has been observed at global scale. This paper relies on a survey related to different existent façade lighting installations applied on modern buildings in Greece. The objective of this paper is the collection and comparison between gathered qualitative and quantitative data concerning the waste of light caused by façade lighting that is emitted towards unwanted directions such as sky or adjacent building properties. The aim of this research is the assessment of different façade lighting techniques regarding light pollution and energy waste.

关键词： Surveys Energy consumption Buildings Urban areas Artificial light Biodiversity Light sources

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