J. Smart Cities Soc.最新文献

Preface to the Journal of Smart Cities and Society issue 2(2) 《智慧城市与社会杂志》第2期(2)前言

J. Smart Cities Soc. Pub Date : 2023-08-23 DOI: 10.3233/scs-238002

J. Augusto

引用次数: 0

Smart e-waste management system utilizing Internet of Things and Deep Learning approaches 利用物联网和深度学习方法的智能电子废物管理系统

J. Smart Cities Soc. Pub Date : 2023-08-18 DOI: 10.3233/scs-230007

Daniel Voskergian, I. Ishaq

引用次数: 0

Security and privacy concerns in assisted living environments 辅助生活环境中的安全和隐私问题

J. Smart Cities Soc. Pub Date : 2023-08-17 DOI: 10.3233/scs-230015

P. Condado, Fernando G. Lobo

{"title":"Security and privacy concerns in assisted living environments","authors":"P. Condado, Fernando G. Lobo","doi":"10.3233/scs-230015","DOIUrl":"https://doi.org/10.3233/scs-230015","url":null,"abstract":"Assisted living environments use interconnected devices to assist people with limitations in performing daily activities. In these environments, human activity recognition is critical for detecting abnormal situations, such as falls or health problems, and providing appropriate assistance to inhabitants. Despite their advantages, assisted living environments raise security and privacy concerns due to the collection and storage of sensitive data about their inhabitants. This paper addresses security and privacy concerns related to intelligent environments designed to assist individuals with limitations. It discusses the weaknesses of IoT devices and domotic technologies and presents research conducted by authors to mitigate these issues. This study shows that, despite hardware constraints, it is possible to design a relatively secure assisted living environment that prevents hacker attacks and data leaks. Additionally, it is essential to comprehend which information should be shared with external entities, such as health care services, and when to share it to ensure the inhabitants’ well-being. Our main goal has been to gather knowledge to improve the privacy and data protection of technology-rich assisted living environments implemented to assist people with limitations and their family members in performing their daily tasks.","PeriodicalId":299673,"journal":{"name":"J. Smart Cities Soc.","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123736740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Categorization of crowd-sensing streaming data for contextual characteristic detection 基于上下文特征检测的人群传感流数据分类

J. Smart Cities Soc. Pub Date : 2023-08-17 DOI: 10.3233/scs-230013

Philipp Kisters, Hanno Schreiber, Janick Edinger

{"title":"Categorization of crowd-sensing streaming data for contextual characteristic detection","authors":"Philipp Kisters, Hanno Schreiber, Janick Edinger","doi":"10.3233/scs-230013","DOIUrl":"https://doi.org/10.3233/scs-230013","url":null,"abstract":"The growing reliance on large wireless sensor networks, potentially consisting of hundreds of nodes, to monitor real-world phenomena inevitably results in large, complex datasets that become increasingly difficult to process using traditional methods. The inadvertent inclusion of anomalies in the dataset, resulting from the inherent characteristics of these networks, makes it difficult to isolate interesting events from erroneous measurements. Simultaneously, improvements in data science methods, as well as increased accessibility to powerful computers, lead to these techniques becoming more applicable to everyday data mining problems. In addition to being able to process large amounts of complex streaming data, a wide array of specialized data science methods enables complex analysis not possible using traditional techniques. Using real-world streaming data gathered by a temperature sensor network consisting of approximately 600 nodes, various data science methods were analyzed for their ability to exploit implicit dependencies embedded in unlabelled data to solve the complex task to identify contextual characteristics. The methods identified during this analysis were included in the construction of a software pipeline. The constructed pipeline reduced the identification of characteristics in the dataset to a trivial task, the application of which led to the detection of various characteristics describing the context in which sensors are deployed.","PeriodicalId":299673,"journal":{"name":"J. Smart Cities Soc.","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131910324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Preface to the Journal of Smart Cities and Society issue 2(1) 《智慧城市与社会杂志》第2期(1)前言

J. Smart Cities Soc. Pub Date : 2023-07-07 DOI: 10.3233/scs-238001

J. Augusto

引用次数: 0

What smart tourism in post-conflict cities follows a urbicide process? The role of new technologies in urban tourism in the western Balkans 在冲突后的城市中，什么样的智慧旅游遵循着消灭城市的过程?新技术在西巴尔干地区城市旅游中的作用

J. Smart Cities Soc. Pub Date : 2023-07-07 DOI: 10.3233/scs-230004

Cyril Martin-Colonna

{"title":"What smart tourism in post-conflict cities follows a urbicide process? The role of new technologies in urban tourism in the western Balkans","authors":"Cyril Martin-Colonna","doi":"10.3233/scs-230004","DOIUrl":"https://doi.org/10.3233/scs-230004","url":null,"abstract":"The 1990s marked the end of Yugoslavia and the height of conflict and urban destruction (Dubrovnik, Mostar, Sarajevo and later Belgrade). Bogdanovic (1993), an architect and former mayor of Belgrade, coined the neologism ‘urbicide’ to designate an enterprise of urban destruction which goes beyond the simple strategic objective of the physical destruction of the city, but that of the annihilation of memories, identities, and cultures associated with the city in question and its urbanity, that is to say, of the ‘ritualized murder of the city’. At the end of these multiple conflicts, the cities and the related tourism had to be rebuilt. Over the last twenty years, information technologies, the creation of peer-to-peer digital platforms (Booking, Airbnb, Expedia) and virtual reality for museum and heritage visits have boosted the attractiveness of the destination and tourism projects. The emergence of tourism projects based on digital and new technologies is booming in the Balkans, particularly the capitals like Belgrade or Sarajevo. By looking at different technological and digital projects for tourism purposes, we will see how local, private, transnational and citizen actors have taken up this project and if this projects contribute to the touristic destination.","PeriodicalId":299673,"journal":{"name":"J. Smart Cities Soc.","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130920711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Implementing green facades: A step towards sustainable smart buildings 实施绿色外墙:迈向可持续智能建筑的一步

J. Smart Cities Soc. Pub Date : 2023-07-07 DOI: 10.3233/scs-230014

Theingi Aung, Sui Reng Liana, Arkar Htet, A. Bhaumik

{"title":"Implementing green facades: A step towards sustainable smart buildings","authors":"Theingi Aung, Sui Reng Liana, Arkar Htet, A. Bhaumik","doi":"10.3233/scs-230014","DOIUrl":"https://doi.org/10.3233/scs-230014","url":null,"abstract":"As cities around the globe strive towards becoming “smart” and sustainable, the integration of green facades into smart building design has emerged as a viable solution to address several environmental challenges. This paper conducts a comprehensive review of current research and applications in green facades, analyzing their role in enhancing energy efficiency, improving indoor air quality, and contributing to overall building sustainability. The impact of green facades on reducing energy consumption, through natural insulation and shading, is explored in-depth, alongside their role in air purification and enhancing the aesthetic appeal of urban environments. Despite the potential of green facades, several gaps between theory and practice exist, including challenges in implementation, maintenance, and cost-effectiveness. This paper identifies these barriers and provides a robust discussion of potential solutions, which include technological innovations, policy support, and public awareness initiatives. Ultimately, the integration of green facades in smart buildings presents a significant step forward in creating sustainable urban environments, necessitating further research and action in this realm.","PeriodicalId":299673,"journal":{"name":"J. Smart Cities Soc.","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132543408","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Resilient edge machine learning in smart city environments 智慧城市环境中的弹性边缘机器学习

J. Smart Cities Soc. Pub Date : 2023-07-07 DOI: 10.3233/scs-230005

Andreas Vrachimis, Stella Gkegka, Kostas Kolomvatsos

{"title":"Resilient edge machine learning in smart city environments","authors":"Andreas Vrachimis, Stella Gkegka, Kostas Kolomvatsos","doi":"10.3233/scs-230005","DOIUrl":"https://doi.org/10.3233/scs-230005","url":null,"abstract":"Distributed Machine Learning (DML) has emerged as a disruptive technology that enables the execution of Machine Learning (ML) and Deep Learning (DL) algorithms in proximity to data generation, facilitating predictive analytics services in Smart City environments. However, the real-time analysis of data generated by Smart City Edge Devices (EDs) poses significant challenges. Concept drift, where the statistical properties of data streams change over time, leads to degraded prediction performance. Moreover, the reliability of each computing node directly impacts the availability of DML systems, making them vulnerable to node failures. To address these challenges, we propose a resilience framework comprising computationally lightweight maintenance strategies that ensure continuous quality of service and availability in DML applications. We conducted a comprehensive experimental evaluation using real datasets, assessing the effectiveness and efficiency of our resilience maintenance strategies across three different scenarios. Our findings demonstrate the significance and practicality of our framework in sustaining predictive performance in smart city edge learning environments. Specifically, our enhanced model exhibited increased generalizability when confronted with concept drift. Furthermore, we achieved a substantial reduction in the amount of data transmitted over the network during the maintenance of the enhanced models, while balancing the trade-off between the quality of analytics and inter-node data communication cost.","PeriodicalId":299673,"journal":{"name":"J. Smart Cities Soc.","volume":"220 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114856740","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

eHealth in the time of smart ecosystems and pandemics 智能生态系统和流行病时代的电子健康

J. Smart Cities Soc. Pub Date : 2023-04-27 DOI: 10.3233/scs-230002

István Péntek, A. Adamkó

{"title":"eHealth in the time of smart ecosystems and pandemics","authors":"István Péntek, A. Adamkó","doi":"10.3233/scs-230002","DOIUrl":"https://doi.org/10.3233/scs-230002","url":null,"abstract":"In the recent decade, many technological innovations have increasingly been incorporated into smart city architectures. Our modern and rushing lifestyle implies at least one fitness tracker or wearable device in most households. Usually, devices are equipped with a set of biosensors, thus producing valuable time series that can be used to track selected areas. The use of bio-sensory time series is not limited to private purposes; data can also be used to improve services in our everyday life. The data generated by bio-sensory devices primarily infiltrate into smart home solutions. However, comprehensive smart home solutions also allow improvements for smart city solutions. The critical factor is the consecutive change in the subject technologies that form the smart city and smart home architectures, including the sensitivity aspects of data originating from confidential sources. Vendors must keep up with this continuous change and release newer and newer solutions, but information systems like HIS (Hospital Information System) or DSS (Decision Support Systems) are not following up at the same speed. This research will demonstrate developments that can make the services of smart ecosystems more valuable by using data collection and analyzing services based on bio-sensory data. Based on the presented research results, smart ecosystems can act considerably more effectively during an epidemic or a pandemic. The research paper focuses on how bio-sensory time series data can be collected and used, how the data can be integrated into smart ecosystems, and how it can be integrated into smart healthcare solutions.","PeriodicalId":299673,"journal":{"name":"J. Smart Cities Soc.","volume":"745 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123863634","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A review on computer vision and machine learning techniques for automated road surface defect and distress detection 计算机视觉与机器学习技术在路面缺陷与损伤自动检测中的研究进展

J. Smart Cities Soc. Pub Date : 2023-04-20 DOI: 10.3233/scs-230001

Xuejing Chen, Sira Yongchareon, Martin Knoche

引用次数: 2