Identification and evaluation of the effective criteria for detection of congestion in a smart city

Mohanty, Anita; Mohanty, S.; Jena, Bhagyalaxmi; Mohapatra, Ambarish G.; Rashid, Ahmed Noori; Khanna, Ashish; Gupta, Deepak

doi:10.1049/cmu2.12344

Cited by 12 publications

(4 citation statements)

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“…Saat ini, perkembangan teknologi terjadi atas hasil dari interaksi kompleks antara inovasi dan proses budaya yang terus menerus mengalami perubahan. Perkembangan teknologi termasuk dengan yang terjadi pada ponsel pintar telah menciptakan budaya di mana informasi dengan mudah dapat disebarkan dan komuniaksi terjadi dalam waktu nyata (Mohanty et al, 2022). Perkembangan ponsel pintar yang terjadi berperan penting dalam kemajuan hidup masyarakat.…”

Section: Pendahuluanunclassified

Phubbing, Komunikasi Interpersonal, dan Etika Komunikasi dalam Masyarakat

Constantin,

Setijadi

2023

JLMK

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Currently, technology is rapidly increasing advancing and developing. Communication technology, especially smartphones, has experienced rapid development with up-to-date technologies and features attached. Amidst the rapid development of technology and features attached to communication tools, the phubbing phenomenon has emerged which occurs at almost all levels of society. The emergence of this phenomenon become one of the developments of communication technology especially cell phones negative impacts, which results in the disruption of relationships between individuals due to too much focus on cell phones. This phenomenon has a bad impact on technological developments and hurts phubbers mental health. literature reviews or desk research. The aim is to provide a comprehensive knowledge of the phubbing phenomena, which is happening unintentionally in society, by drawing on prior research. This article’s purpose is to provide a comprehensive understanding of phubbing and its effects on communication and mental health in society. The goal is to raise awareness and propose preventive measures to mitigate any additional adverse consequences. The findings of this paper demonstrate that the phubbing phenomenon is a negative consequence resulting from the quick and substantial advancements in technology. In Indonesian society, the phenomenon of phubbing is not widely recognized. From the standpoint of communication ethics, this phenomenon is clearly the opposite of face-to-face communication norms and ethics, as it involves disregarding the individual with whom one is conversing. Ultimately, comprehensive community involvement and extensive study are essential to gain a deeper understanding and develop proactive strategies to address the rise of the phubbing phenomena.

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Section: Pendahuluanunclassified

Phubbing, Komunikasi Interpersonal, dan Etika Komunikasi dalam Masyarakat

Constantin,

Setijadi

2023

JLMK

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“…In terms of being able to provide the probability of belonging to a cluster, the Fuzzy C-Means approach is more realistic [46]. Clustering methods were also been used in intelligent transportation systems for better traffic management [47][48][49][50][51], wireless networks [52,53], detection of congestion [54], climate change [21], energy [55,56], etc.…”

Section: Literature Reviewmentioning

confidence: 99%

Clustering of Cities Based on Their Smart Performances: A Comparative Approach of Fuzzy C-Means, K-Means, and K-Medoids

Kenger,

Özceylan

et al. 2023

IEEE Access

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Smart City is recognized as a potential approach to address serious urban issues such as traffic, pollution, energy use, and waste management. Therefore, it is vital to evaluate how smart cities are in order to put these methods into practice. To offer advice on these matters, numerous reports are created, and one of which is Smart City Index (SCI). The Institute for Management Development (IMD) and the Singapore University of Technology and Design collaborate on SCI every year (SUTD). The report evaluates how locals view the buildings and technological applications that are available in their towns. Although the study offers a thorough examination of the cities for evaluation, the city clusters should be more sensitive and not be created using strict clustering techniques. In order to address this problem, the clustering algorithms namely K-Medoids, Fuzzy C-Means, and K-Means, which outperform hard clustering approaches in terms of robustness to vagueness and knowledge retention, are used. The main goal of this study is to categorize cities using a scientific manner (clustering algorithms) based on SCI data and to present how the chosen approaches work for dealing with the associated problems. The primary innovation of the present study is the use of clustering techniques in reports where the indexes are used. The results indicate that grouping the cities on the basis of their smart indicators would not be as effective as using the three clustering techniques that are suggested in this paper. These results add to the analysis of the dynamic capacities of smart cities and highlight the sustainability of these tactics.

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“…Intelligent transportation systems, coupled with internet of things technologies, can revolutionise waste collection services within smart cities [91]. The incorporation of surveillance systems, RFIDs, sensors, cameras, and actuators into ITS significantly refines waste collection practices [88,[143][144][145]. This combination facilitates high-quality services for citizens, enabling dynamic routing models driven by sensor data, and prioritising waste collection in areas where immediate collection is vital due to health or environmental risks.…”

Section: Transportation In Smart Waste Management Systemmentioning

confidence: 99%

Waste Management in the Smart City: Current Practices and Future Directions

Szpilko,

de la Torre Gallegos,

Jimenez Naharro

et al. 2023

Resources

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The discourse surrounding sustainability, particularly in the urban environment, has gained considerable momentum in recent years. The concept of a smart city epitomises the integration of innovative technological solutions with community-centred approaches, thereby laying the groundwork for a sustainable lifestyle. One of the crucial components of this integration is the effective and innovative management of waste. The aim of this article was to classify scientific research pertaining to waste management within the context of smart city issues, and to identify emerging directions for future research. A systematic literature review, based on a bibliometric analysis of articles included in the Scopus and Web of Science databases, was conducted for this study. The purpose of such a systematic review is to identify, integrate, and evaluate research on a selected topic, using clearly defined criteria. The research query included: TITLE-ABS-KEY (“smart city” AND (waste OR garbage OR trash OR rubbish)) in the case of Scopus, and TS = (“smart city” AND (waste OR garbage OR trash OR rubbish)) in the case of the Web of Science database. A total of 1768 publication records qualified for the analysis. This study presents an investigation into the current and forthcoming directions of waste management in smart cities, synthesising the latest advancements and methods. The findings outline specific future research directions encompassing technological advancement, special waste challenges, digitisation, energy recovery, transportation, community engagement, policy development, security, novel frameworks, economic and environmental impact assessment, and global implications. These insights reflect a multifaceted approach, advocating a technology-driven perspective that is integral to urban sustainability and quality of life. The study’s findings provide practical avenues for cities to enhance waste management through modern technologies, promoting efficient systems and contributing to sustainable urban living and the circular economy. The insights are vital for policymakers and industry leaders globally, supporting the creation of universal standards and policies, thereby fostering comprehensive waste management systems aligned with global sustainability objectives.

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Identification and evaluation of the effective criteria for detection of congestion in a smart city

Cited by 12 publications

References 50 publications

Phubbing, Komunikasi Interpersonal, dan Etika Komunikasi dalam Masyarakat

Phubbing, Komunikasi Interpersonal, dan Etika Komunikasi dalam Masyarakat

Clustering of Cities Based on Their Smart Performances: A Comparative Approach of Fuzzy C-Means, K-Means, and K-Medoids

Waste Management in the Smart City: Current Practices and Future Directions

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