Review
Construction & Building Technology
Ana Paula P. Kasznar, Ahmed W. A. Hammad, Mohammad Najjar, Eduardo Linhares Qualharini, Karoline Figueiredo, Carlos Alberto Pereira Soares, Assed N. Haddad
Summary: The study highlights the importance of smart city infrastructure and its relationship with urbanization processes. It offers a novel review framework and classification system for understanding the various dimensions of infrastructure research. The research suggests focusing on conceptualizing smart cities as an emergent socio-techno phenomenon for future studies.
Article
Business, Finance
Romeo-Victor Ionescu, Monica Laura Zlati, Valentin-Marian Antohi
Summary: This scientific approach aims to objectively evaluate the progress of smart city/smart community concept through a developed model. The model presents a dashboard of access actions in the smart city/smart community category, correlating them with financial effort and sustainable development of smart cities. The study concludes that low-cost solutions are most effective in supporting smart urban development.
FINANCIAL INNOVATION
(2023)
Article
Green & Sustainable Science & Technology
Md Tasbirul Islam, Usha Iyer-Raniga
Summary: The aim of this study is to redesign a canvas for circular business models (CBMs) and validate it through a case study. The developed canvas, called the Circular Business Model Value Dimension Canvas, was validated through a semi-structured interview with a social enterprise operating in hybrid CBM in Australia. The results showed that a successful hybrid CBM requires integration of forward and reverse supply chains and various other factors such as physical stores, effective product return strategy, government funding support, employment of individuals with special needs, and promotion of behavioral change among low-income customer segments.
Article
Engineering, Industrial
Priyadarshini Das, Srinath Perera, Sepani Senaratne, Robert Osei-Kyei
Summary: Industry 4.0 is driving incremental changes in the construction industry, prompting the need for appropriate technologies to maintain competitive advantage. The study emphasizes the importance of technology partnerships, platform development, and competition with experts in other fields for successful transformation in Industry 4.0.
ENGINEERING CONSTRUCTION AND ARCHITECTURAL MANAGEMENT
(2021)
Article
Green & Sustainable Science & Technology
Samir Mili, Tasnim Loukil
Summary: Developing more sustainable business models is crucial for the survival of the agri-food industries. This research explores new approaches for transitioning to more sustainable business models in the Spanish fruit and vegetable industry using the Triple Layered Business Model Canvas methodological framework. Results indicate that sustainability goals can be adequately integrated within this framework, despite the challenges faced in terms of industry complexity and limited data.
Article
Energy & Fuels
Malgorzata Baran, Monika Klos, Monika Chodorek, Karolina Marchlewska-Patyk
Summary: The smart city concept is a leading idea in management and plays a significant role in sustainable development for Polish cities. Various SC management models exist due to differences in city development levels and priorities, with a focus on identifying components and strategy profiling for city development in Poland.
Article
Green & Sustainable Science & Technology
Meng Cai, Eva Kassens-Noor, Zhiqiang Zhao, Dirk Colbry
Summary: Cities play a crucial role in addressing sustainability challenges and smart cities have emerged as a solution. However, it is unclear whether smart city practices lead to sustainability outcomes. This study evaluates the relationship between smart city implementation and sustainability outcomes in 103 US cities. The findings show that smart cities generally score higher on sustainability outcomes, particularly in the economic aspect.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Urban Studies
Leonidas G. Anthopoulos, Zohreh Pourzolfaghar, Kristina Lemmer, Tobias Siebenlist, Bjoern Niehaves, Ioannis Nikolaou
Summary: This paper discusses the importance of smart cities as hubs and introduces the concept of SC Hub, which aims to standardize and control the various flows in cities.
Article
Computer Science, Artificial Intelligence
Arodh Lal Karn, Sharnil Pandya, Abolfazl Mehbodniya, Farrukh Arslan, Dilip Kumar Sharma, Khongdet Phasinam, Muhammad Nauman Aftab, Regin Rajan, Ravi Kumar Bommisetti, Sudhakar Sengan
Summary: With the increasing problem of water scarcity worldwide, it is crucial to use IoT technology to treat wastewater and meet the growing demand for drinking water. This research proposes a real-time system that monitors critical parameters of a wastewater treatment plant using IoT and analyzes the data generated by IoT sensors in real-time through complex event processing. The experiment conducted in a water system in South India shows excellent results and receives positive feedback from water treatment plant managers.
Article
Engineering, Civil
Bernard Fong, Alvis C. M. Fong, Guan Y. Y. Hong
Summary: Micromobility plays a crucial role in achieving sustainable solutions by improving safety and resource utilization efficiency. In the smart city environment, it offers significant potential for smart applications, safety-related services, and information services. The development of scalable and customizable solutions to concentrate commuters for easy access to public transport hubs is essential for enhancing energy consumption and travel efficiency. This paper proposes a prognostics approach utilizing artificial intelligence for adaptive modulation and self-cognizant prognostics in order to address parking and road congestion challenges in a sustainable smart city environment.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Construction & Building Technology
S. Blasi, A. Ganzaroli, I. De Noni
Summary: The aim of this paper is to assess the impact of SDGs institutionalization on the concept of smart sustainable cities. Through a review of the literature, it is found that there is alignment and potential areas of development between smart cities and SDGs, but also some differences, such as in water management, energy, governance, and collaboration.
SUSTAINABLE CITIES AND SOCIETY
(2022)
Article
Computer Science, Information Systems
Adel Mounir Said, Ahmed E. Kamal, Hossam Afifi
Summary: Finding a free parking space is a major challenge for car drivers in cities, leading to wasted time and energy, increased emissions, and decreased quality of life. Addressing this issue with a green intelligent parking system based on IoT could potentially reduce these problems and improve overall quality of life.
COMPUTER COMMUNICATIONS
(2021)
Article
Energy & Fuels
Zbyslaw Dobrowolski, Lukasz Sulkowski
Summary: This paper addresses the lack of understanding in the development of the Business Model Canvas in the energy sector by proposing modifications and additions to capture the unique aspects of energy enterprises. The study contributes to entrepreneurship theory by providing an original definition of a business model and emphasizing the importance of accountability in firms' everyday businesses. Future research avenues in the energy sector are also highlighted, along with a valuable planning tool for practitioners.
Article
Computer Science, Hardware & Architecture
Faris A. Almalki, S. H. Alsamhi, Radhya Sahal, Jahan Hassan, Ammar Hawbani, N. S. Rajput, Abdu Saif, Jeff Morgan, John Breslin
Summary: The development of IoT and smart cities has brought changes and challenges. Green IoT can address environmental issues and make smart cities more sustainable and eco-friendly.
MOBILE NETWORKS & APPLICATIONS
(2023)
Editorial Material
Green & Sustainable Science & Technology
Sandro Nizetic, Pawel Oclon, Theocharis Tsoutsos
Summary: Digitalization in various engineering fields opens up opportunities for the development of smart technologies, which focus on applications in customer services, process efficiency, security, and technological advancements. This editorial review discusses the research contributions presented at the 5th International Conference on Smart and Sustainable Technologies (SpliTech2020) in Croatia, with a focus on smart city, energy/environment, e-health, and engineering modeling. The research presented at the conference provides insights into the current progress and research directions in the field of smart technologies, particularly emphasizing sustainability aspects.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Engineering, Electrical & Electronic
Juan Ramon Santana, Martino Maggio, Roberto Di Bernardo, Pablo Sotres, Luis Sanchez, Luis Munoz
IEICE TRANSACTIONS ON COMMUNICATIONS
(2018)
Article
Chemistry, Analytical
Dimitrios Amaxilatis, Georgios Mylonas, Luis Diez, Evangelos Theodoridis, Veronica Gutierrez, Luis Munoz
Article
Chemistry, Analytical
Pablo Sotres, Jorge Lanza, Luis Sanchez, Juan Ramon Santana, Carmen Lopez, Luis Munoz
Article
Chemistry, Analytical
Johnny Choque, Luis Diez, Arturo Medela, Luis Munoz
Article
Engineering, Electrical & Electronic
Gurkan Solmaz, Fang-Jing Wu, Flavio Cinllo, Erno Kovacs, Juan Ramon Santana, Luis Sanchez, Pablo Sotres, Luis Munoz
IEEE COMMUNICATIONS MAGAZINE
(2019)
Article
Telecommunications
Luis Sanchez, Jorge Lanza, Luis Munoz
WIRELESS PERSONAL COMMUNICATIONS
(2020)
Article
Computer Science, Information Systems
Georgios Mylonas, Athanasios Kalogeras, Georgios Kalogeras, Christos Anagnostopoulos, Christos Alexakos, Luis Munoz
Summary: Digital twins are increasingly popular in various domains, with the application in smart cities facing challenges due to the significant differences in system size, complexity, and requirements. Researchers should utilize established tools and methods, such as co-creation in smart cities, to better address these specificities.
Article
Education & Educational Research
Gabriela Geron-Pinon, Pedro Solana-Gonzalez, Sara Trigueros-Preciado, Daniel Perez-Gonzalez
Summary: Several accreditation agencies in Latin America introduce their standards and guidance for documentation, but they lack explicit elaboration on key performance indicators for evaluating activities of higher education institutions. This research aims to analyze management indicators implemented by these institutions in the region to identify those with more impact on obtaining institutional accreditation. Findings from a quantitative survey of institutional leaders may serve as guidelines for decision-making and success in national and international accreditation processes.
QUALITY IN HIGHER EDUCATION
(2021)
Article
Telecommunications
Luis Diez, Ramon Aguero, Luis Munoz
LOW ELECTROMAGNETIC EMISSION WIRELESS NETWORK TECHNOLOGIES: 5G AND BEYOND
(2020)
Proceedings Paper
Computer Science, Information Systems
Johnny Choque, Ramon Aguero, Zbigniew Kopertowski, Kim Khoa Nguyen, Arturo Medela, Esteban Municio, Johann M. Marquez-Barja, Jaroslaw Domaszewicz, Andrzej Bak, Jeong Hyop Lee, Seongsu Noh, Luis Munoz
2020 23RD INTERNATIONAL SYMPOSIUM ON WIRELESS PERSONAL MULTIMEDIA COMMUNICATIONS (WPMC 2020)
(2020)
Proceedings Paper
Computer Science, Information Systems
Luis Diez, Ignacio Elicegui, Luis Sanchez, Luis Munoz
2020 EUROPEAN CONFERENCE ON NETWORKS AND COMMUNICATIONS (EUCNC 2020)
(2020)
Article
Computer Science, Information Systems
Luis Diez, Johnny Choque, Luis Sanchez, Luis Munoz
Article
Information Science & Library Science
Daniel Perez-Gonzalez, Sara Trigueros Preciado, Pedro Solana-Gonzalez
INFORMATION TECHNOLOGY & PEOPLE
(2019)
Proceedings Paper
Computer Science, Theory & Methods
Johnny Choque, Arturo Medela, Juan Echevarria, Luis Diez, Luis Munoz
2018 GLOBAL INTERNET OF THINGS SUMMIT (GIOTS)
(2018)
Article
Computer Science, Information Systems
Juan Ramon Santana, Luis Sanchez, Pablo Sotres, Jorge Lanza, Tomas Llorente, Luis Munoz
Editorial Material
Computer Science, Theory & Methods
Kiho Lim, Christian Esposito, Tian Wang, Chang Choi
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2024)
Editorial Material
Computer Science, Theory & Methods
Jesus Carretero, Dagmar Krefting
Summary: Computational methods play a crucial role in bioinformatics and biomedicine, especially in managing large-scale data and simulating complex models. This special issue focuses on security and performance aspects in infrastructure, optimization for popular applications, and the integration of machine learning and data processing platforms to improve the efficiency and accuracy of bioinformatics.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2024)
Article
Computer Science, Theory & Methods
Renhao Lu, Weizhe Zhang, Qiong Li, Hui He, Xiaoxiong Zhong, Hongwei Yang, Desheng Wang, Zenglin Xu, Mamoun Alazab
Summary: Federated Learning allows collaborative training of AI models with local data, and our proposed FedAAM scheme improves convergence speed and training efficiency through an adaptive weight allocation strategy and asynchronous global update rules.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2024)
Article
Computer Science, Theory & Methods
Qiangqiang Jiang, Xu Xin, Libo Yao, Bo Chen
Summary: This paper proposes a multi-objective energy-efficient task scheduling technique (METSM) for edge heterogeneous multiprocessor systems. A mathematical model is established for the task scheduling problem, and a problem-specific algorithm (IMO) is designed for optimizing task scheduling and resource allocation. Experimental results show that the proposed algorithm can achieve optimal Pareto fronts and significantly save time and power consumption.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2024)
Editorial Material
Computer Science, Theory & Methods
Weimin Li, Lu Liu, Kevin I. K. Wang, Qun Jin
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2024)
Article
Computer Science, Theory & Methods
Mohammed Riyadh Abdmeziem, Amina Ahmed Nacer, Nawfel Moundji Deroues
Summary: Internet of Things (IoT) devices have become ubiquitous and brought the need for group communications. However, security in group communications is challenging due to the asynchronous nature of IoT devices. This paper introduces an innovative approach using blockchain technology and smart contracts to ensure secure and scalable group communications.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2024)
Article
Computer Science, Theory & Methods
Robert Sajina, Nikola Tankovic, Ivo Ipsic
Summary: This paper presents and evaluates a novel approach that utilizes an encoder-only transformer model to enable collaboration between agents learning two distinct NLP tasks. The evaluation results demonstrate that collaboration among agents, even when working towards separate objectives, can result in mutual benefits.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2024)
Article
Computer Science, Theory & Methods
Hebert Cabane, Kleinner Farias
Summary: Event-driven architecture has been widely adopted in the software industry for its benefits in software modularity and performance. However, there is a lack of empirical evidence to support its impact on performance. This study compares the performance of an event-driven application with a monolithic application and finds that the monolithic architecture consumes fewer computational resources and has better response times.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2024)
Article
Computer Science, Theory & Methods
Haroon Wahab, Irfan Mehmood, Hassan Ugail, Javier Del Ser, Khan Muhammad
Summary: Wireless capsule endoscopy (WCE) is a revolutionary diagnostic method for small bowel pathology. However, the manual analysis of WCE videos is cumbersome and the privacy concerns of WCE data hinder the adoption of AI-based diagnoses. This study proposes a federated learning framework for collaborative learning from multiple data centers, demonstrating improved anomaly classification performance while preserving data privacy.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2024)
Article
Computer Science, Theory & Methods
Maruf Monem, Md Tamjid Hossain, Md. Golam Rabiul Alam, Md. Shirajum Munir, Md. Mahbubur Rahman, Salman A. AlQahtani, Samah Almutlaq, Mohammad Mehedi Hassan
Summary: Bitcoin, the largest cryptocurrency, faces challenges in broader adaption due to long verification times and high transaction fees. To tackle these issues, researchers propose a learning framework that uses machine learning to predict the ideal block size in each block generation cycle. This model significantly improves the block size, transaction fees, and transaction approval rate of Bitcoin, addressing the long wait time and broader adaption problem.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2024)
Article
Computer Science, Theory & Methods
Rafael Duque, Crescencio Bravo, Santos Bringas, Daniel Postigo
Summary: This paper introduces the importance of user interfaces for digital twins and presents a technique called ADD for modeling requirements of Human-DT interaction. A study is conducted to assess the feasibility and utility of ADD in designing user interfaces, using the virtualization of a natural space as a case study.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2024)
Article
Computer Science, Theory & Methods
Xiulin Li, Li Pan, Wei Song, Shijun Liu, Xiangxu Meng
Summary: This article proposes a novel multiclass multi-pool analytical model for optimizing the quality of composite service applications deployed in the cloud. By considering embarrassingly parallel services and using differentiated parallel processing mechanisms, the model provides accurate prediction results and significantly reduces job response time.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2024)
Article
Computer Science, Theory & Methods
Seongwan Park, Woojin Jeong, Yunyoung Lee, Bumho Son, Huisu Jang, Jaewook Lee
Summary: In this paper, a novel MEV detection model called ArbiNet is proposed, which offers a low-cost and accurate solution for MEV detection without requiring knowledge of smart contract code or ABIs.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2024)
Article
Computer Science, Theory & Methods
Sacheendra Talluri, Nikolas Herbst, Cristina Abad, Tiziano De Matteis, Alexandru Iosup
Summary: Serverless computing is increasingly used in data-processing applications. This paper presents ExDe, a framework for systematically exploring the design space of scheduling architectures and mechanisms, to help system designers tackle complexity.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2024)
Article
Computer Science, Theory & Methods
Chao Wang, Hui Xia, Shuo Xu, Hao Chi, Rui Zhang, Chunqiang Hu
Summary: This paper introduces a Federated Learning framework called FedBnR to address the issue of potential data heterogeneity in distributed entities. By breaking up the original task into multiple subtasks and reconstructing the representation using feature extractors, the framework improves the learning performance on heterogeneous datasets.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2024)
