Article
Engineering, Electrical & Electronic
Jose Javier Astrain, Francisco Falcone, Antonio J. Lopez-Martin, Pablo Sanchis, Jesus Villadangos, Ignacio R. Matias
Summary: This article presents a practical experience on monitoring the data generated by electric buses for energy consumption and battery management. The adopted solutions, charging station configuration, and implementation challenges of the communication infrastructure are covered in detail.
IEEE SENSORS JOURNAL
(2022)
Article
Computer Science, Information Systems
Chih-Yuan Huang, Yao-Hsin Chiang, Fuan Tsai
Summary: This study analyzed existing integration methods for smart city applications and proposed an ontology to address the issues. The proposed ontology supports multiple views of objects and can relate information from different data modeling standards. The application of the ontology was demonstrated in smart home, smart security, smart health care, and fire evacuation systems.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Artificial Intelligence
Mansoor Alghamdi
Summary: Following the advancement of big data techniques, deep learning has gained attention in proposing smart city solutions. These solutions focus on energy consumption, pollution levels, public services, and traffic management. Predicting urban evolution and planning is also a recent concern. This paper introduces a hybrid model that combines evolutionary optimization algorithms with deep learning models to predict the future development of smart cities.
Article
Business
Barbara Bencsik, Maximilian Palmie, Vinit Parida, Joakim Wincent, Oliver Gassmann
Summary: The research on digital sustainability focuses on how digital technologies contribute to the creation of environmental and social value. To finance this value creation, a business model perspective that combines value creation and capture is needed. By analyzing 130 smart city initiatives in Switzerland, we develop a three-dimensional framework of business models for digital sustainability, which includes 12 theoretically possible business model types. This study contributes to the understanding of digitally enabled business models in the context of smart cities.
JOURNAL OF BUSINESS RESEARCH
(2023)
Article
Geosciences, Multidisciplinary
Xin Li, Longwei Qiu, Jian Fu, Daotao Dong, Yongqiang Yang, Danish Khan, Zijie Wu, Fan Song, Xu Wen, Xuebao Liu
Summary: Beach bars are important reservoirs in petroliferous basins worldwide and have great exploration potential. This study aims to further investigate beach bars based on previous research in order to enhance oil and gas exploration and development. Through field surveys and core observations, the authors identified three types of beach bars and five architectural units. Using manual and machine learning recognition, they categorized the architectural units and developed sedimentary models for each beach bar type. The results showed that beach bars can be divided into shore beaches, submerged beaches and bars, each with distinct sedimentary and environmental characteristics. The study also established a discrimination standard and achieved a high level of accuracy between manual and machine recognition. The authors hope that their methodology and models will contribute to the improvement of beach bar reservoir studies and optimize exploration and development efforts.
MARINE AND PETROLEUM GEOLOGY
(2022)
Review
Computer Science, Artificial Intelligence
Sepehr Ghazinoory, Jinus Roshandel, Fatemeh Parvin, Shohreh Nasri, Mehdi Fatemi
Summary: Smart cities are a result of digital transformation and smart city maturity models (SCMMs) have been used to assess and guide the development of cities. However, existing SCMMs have similarities and neglect certain trending topics and validation techniques.
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY
(2023)
Article
Construction & Building Technology
Francesc Pardo-Bosch, Pablo Pujadas, Craig Morton, Carles Cervera
Summary: This paper discusses the importance of establishing a public charging infrastructure network to promote the uptake and use of electric vehicles, emphasizing the need to involve a wide range of public and private stakeholders.
SUSTAINABLE CITIES AND SOCIETY
(2021)
Review
Business
Ute Paukstadt, Joerg Becker
Summary: The emergence of Internet of Things technologies in the energy industry, such as smart energy products like smart meters, is expected to bring new business opportunities and economic value for customers. However, existing research has not comprehensively identified, analyzed, and categorized smart energy business models, or placed them within the concept of smart products and services.
ELECTRONIC MARKETS
(2021)
Review
Green & Sustainable Science & Technology
Leonidas G. Anthopoulos, Dimitrios N. Tzimos
Summary: Carpooling schemes have a long history of providing cost benefits for both drivers and passengers, but low car occupancy rates persist due to factors such as the convenience of solo driving and difficulties in finding matching travelers. Smart carpooling platforms enabled by technology offer increased convenience, enabling smart cities to reduce congestion and emissions. A multi-sided platform business model is proposed to deliver additional value to participants and smart cities through smart carpooling services.
Article
Clinical Neurology
Jerome M. Siegel
Summary: Prospective epidemiological studies indicate that 7 hours of sleep per night for adults is optimal for a longer lifespan. Hunter-gatherer populations sleep for 6-8 hours per night, with longer durations in winter. Insomnia prevalence is lower in hunter-gatherer groups compared to industrial societies. Sleep deprivation studies are often affected by stress. Consideration of sleep duration across species can provide insights into sleep function without stress. Sleep duration is associated with ecological niche and feeding requirements, rather than brain size or cognitive ability. REM sleep plays a role in regulating brain temperature and metabolism.
Article
Computer Science, Artificial Intelligence
Ansel Y. Rodriguez-Gonzalez, Fernando Lezama, Yoan Martinez-Lopez, Julio Madera, Joao Soares, Zita Vale
Summary: Evolutionary computation is attracting attention in the energy domain as an alternative to tackle inherent mathematical complexity of some problems related to high-dimensionality, non-linearity, non-convexity, multimodality, or discontinuity of the search space. In this context, the research community launched the 2020 Competition on Evolutionary Computation in the Energy Domain: Smart Grid Applications and an associated simulation framework to evaluate the performance of state-of-the-art evolutionary algorithms solving real-world problems. The outcomes of the competition show that CUMDANCauchy++ is an effective algorithm solving both testbeds, and EDAs emerge as an algorithm class with promising performance for solving smart grid applications.
APPLIED SOFT COMPUTING
(2022)
Article
Green & Sustainable Science & Technology
Yan Han, Jianming Cai, Enpu Ma, Shanshan Du, Jing Lin
Summary: From an emerging marketing narrative to a geographical fact, smart city construction is an effort made by cities worldwide. Although there is no single recognized smart city, common features can be identified from the perspective of urban governance. Through observations in three Chinese cities (Hangzhou, Wuhan, and Shanghai), this article establishes a conceptual framework and identifies three sets of actors and three types of approaches in smart city construction. The study finds that the evolution of smart city construction is nonlinear and dependent on the active involvement of key stakeholders. Each city may specialize in its smartness based on its unique existing setting.
Article
Multidisciplinary Sciences
Baotong Liu, Hua Zou, Hao Qin, Huimin Ji, Yongquan Guo
Summary: In an innovation ecosystem, this study constructs a digital transformation SD evolutionary game model based on expectancy theory and Lyapunov's first law to address the decision-making and game mechanisms issues. The results demonstrate that benefits of digital technology empowerment, spillover effects, and supervision are positively correlated with the willingness for digital transformation among three players. Regardless of initial will changes, the ultimate decision of the game system is stable in (empower, transform, supervise). Compared to governments, platform centers and nodal enterprises show stronger willingness for digital transformation. However, the government's will is key to the convergence speed of the game system to equilibrium. Furthermore, this study reveals that even if nodal enterprises have negative transformation profits, they will still choose the game strategy of transformation if the static/dynamic spillover effect can cover the transformation loss. When government subsidies are less than the initial value of 2, the game system has two possible strategy choices: (empower, nontransform, nonsupervise) and (empower, transform, supervise).
Review
Biochemistry & Molecular Biology
Bivek Chaulagain, Avinash Gothwal, Richard Nii Lante Lamptey, Riddhi Trivedi, Arun Kumar Mahanta, Buddhadev Layek, Jagdish Singh
Summary: Central nervous system (CNS) disorders are a major global health burden, yet the approval rate for new therapies against these disorders is low compared to other diseases. The lack of reliable and efficient in vitro blood-brain barrier (BBB) models hinders the development of successful therapy for CNS disorders. This review discusses the major in vitro BBB models, including 2D transwell models, 3D organoid models, and microfluidic models, for exploring the barrier properties of the cerebral vasculature. Although microfluidic models better recapitulate the in vivo properties of BBB, significant gaps still exist for their use in predicting the performance of neurotherapeutics.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2023)
Article
Computer Science, Information Systems
Franklin Salazar, Maria Sofia Martinez-Garcia, Angel de Castro, Carla Chavez-Fuentes, Maria Cazorla, Jeanette del Pilar Urena-Aguirre, Santiago Altamirano
Summary: Unmanned aerial vehicle (UAV)-assisted inventory management is a common practice in large enterprises with warehouses and manufacturing systems. UAVs are generally used in high-risk tasks to quickly perform activities, such as inventory management in a smart city environment. Compared to conventional systems, UAVs have advantages such as their own cameras and independent movement within the warehouse.