Pub Date : 2022-09-26DOI: 10.1109/ISC255366.2022.9922024
Pooja Rajkumar Karnad
The advent of dynamic programming smartphones, wearable devices such as smartwatches, lower-priced cameras which have higher resolution power, and sensor systems that are robotically controlled has shepherded in a new era of public structure detection systems. Health information technology offers many possibilities for optimising and reshaping healthcare, including minimising human mistakes, boosting clinical outcomes, fostering coordinated care, intensifying practitioners' efficiency, and tracking data over time. The newer medical technology concentrates on early detection for effective treatment and improved survival rate. Because of the emergence of portable healthcare, continuously developing technologies like smart sensing devices, and the broad acceptance of customised well-being advancements, the area of smart habiliment devices has evolved dramatically in current times. Therapeutic wearables have emerged as the utmost capacity of all. These intellectual types of machinery help individuals live a healthy régime by dynamically collecting physiological indicators and assessing metabolic state. These devices deliver a continuous stream of health-related data, which are of diagnostic value and are associated with treatment. They are conceivable to become an important part of the emerging portable health care business and lead the world to a technologically oriented environment. This review article focuses on the various aspects of smart sensors in modern medicine and specifically on managing neurological, cardiovascular, and respiratory diseases.
{"title":"A review on smart sensing devices in health surveillance","authors":"Pooja Rajkumar Karnad","doi":"10.1109/ISC255366.2022.9922024","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9922024","url":null,"abstract":"The advent of dynamic programming smartphones, wearable devices such as smartwatches, lower-priced cameras which have higher resolution power, and sensor systems that are robotically controlled has shepherded in a new era of public structure detection systems. Health information technology offers many possibilities for optimising and reshaping healthcare, including minimising human mistakes, boosting clinical outcomes, fostering coordinated care, intensifying practitioners' efficiency, and tracking data over time. The newer medical technology concentrates on early detection for effective treatment and improved survival rate. Because of the emergence of portable healthcare, continuously developing technologies like smart sensing devices, and the broad acceptance of customised well-being advancements, the area of smart habiliment devices has evolved dramatically in current times. Therapeutic wearables have emerged as the utmost capacity of all. These intellectual types of machinery help individuals live a healthy régime by dynamically collecting physiological indicators and assessing metabolic state. These devices deliver a continuous stream of health-related data, which are of diagnostic value and are associated with treatment. They are conceivable to become an important part of the emerging portable health care business and lead the world to a technologically oriented environment. This review article focuses on the various aspects of smart sensors in modern medicine and specifically on managing neurological, cardiovascular, and respiratory diseases.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115108400","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}
Pub Date : 2022-09-26DOI: 10.1109/ISC255366.2022.9921835
Erkinai Derkenbaeva, Han Kyul Yoo, G. Hofstede, K. Galanakis, R. Ackrill
The success of decarbonisation will largely depend on how the policies on energy transition are introduced, implemented, and subsequently received by the targeted entities. This study uncovers possible ways of enabling a regulatory framework for achieving Positive Energy Districts (PEDs) based on the local context with a human-centred focus. We address the four prerequisites of the PED pathway and discuss cultural configurations to explore how they affect the energy transition in three of the case studies - Amsterdam, Vienna, and Lisbon - to demonstrate differences in their contexts. The analysis in this study is based on the primary data, collected via semi-structured interviews conducted with stakeholders from the observed regions. The interviews were a foresight exercise, where the participants proposed desired pathways towards the development of PEDs. Based on their different cultural configuration context, we posit that distinct approaches in energy transition are essential for the effective formation of PEDs. We argue that policy interventions on decarbonisation should be tailored to different situations and bringing the cultural perspective into policy design is one way of incorporating the differences in contexts. As the policies are implemented at different governmental levels, future research on to what extent the differences in cultural configurations play role in multi-level governance in decarbonisation will be important.
{"title":"Positive Energy Districts in Europe: one size does not fit all","authors":"Erkinai Derkenbaeva, Han Kyul Yoo, G. Hofstede, K. Galanakis, R. Ackrill","doi":"10.1109/ISC255366.2022.9921835","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9921835","url":null,"abstract":"The success of decarbonisation will largely depend on how the policies on energy transition are introduced, implemented, and subsequently received by the targeted entities. This study uncovers possible ways of enabling a regulatory framework for achieving Positive Energy Districts (PEDs) based on the local context with a human-centred focus. We address the four prerequisites of the PED pathway and discuss cultural configurations to explore how they affect the energy transition in three of the case studies - Amsterdam, Vienna, and Lisbon - to demonstrate differences in their contexts. The analysis in this study is based on the primary data, collected via semi-structured interviews conducted with stakeholders from the observed regions. The interviews were a foresight exercise, where the participants proposed desired pathways towards the development of PEDs. Based on their different cultural configuration context, we posit that distinct approaches in energy transition are essential for the effective formation of PEDs. We argue that policy interventions on decarbonisation should be tailored to different situations and bringing the cultural perspective into policy design is one way of incorporating the differences in contexts. As the policies are implemented at different governmental levels, future research on to what extent the differences in cultural configurations play role in multi-level governance in decarbonisation will be important.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122500861","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}
The search for on-street parking spot has become a major problem for both users and municipalities. This is partly due to the increase in the flow of vehicles and the concomitant scarcity of available spaces. This paper studies this problem from the economic point of view where supply and demand of goods concern parking spaces and each driver is alternatively producer and consumer. The proposed model deals with situations where supply of parking spaces is not sufficient to meet demand. As in this circumstance the time to find a parking space increases by itself, the decrease in demand is a natural process. In contrast, the reduction in on-street parking time - and thus the increase in supply - is the result of deliberate action by decision-makers who may, for example, monetise parking time. An agent-based approach makes it possible to model and simulate this dual process and to design strategies for decision-makers to balance well supply and demand.
{"title":"The GT model of on-street parking supply and demand","authors":"Jean-David Collard, Erick Stattner, Panagiotis Gergos","doi":"10.1109/ISC255366.2022.9922181","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9922181","url":null,"abstract":"The search for on-street parking spot has become a major problem for both users and municipalities. This is partly due to the increase in the flow of vehicles and the concomitant scarcity of available spaces. This paper studies this problem from the economic point of view where supply and demand of goods concern parking spaces and each driver is alternatively producer and consumer. The proposed model deals with situations where supply of parking spaces is not sufficient to meet demand. As in this circumstance the time to find a parking space increases by itself, the decrease in demand is a natural process. In contrast, the reduction in on-street parking time - and thus the increase in supply - is the result of deliberate action by decision-makers who may, for example, monetise parking time. An agent-based approach makes it possible to model and simulate this dual process and to design strategies for decision-makers to balance well supply and demand.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122652910","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}
Pub Date : 2022-09-26DOI: 10.1109/ISC255366.2022.9922044
Rafida Zaman, Baek-Young Choi, Sejun Song
The COVID-19 pandemic has affected almost all sectors of society in a short period. In this paper, we study the impact of the COVID-19 pandemic on smart cities through analyses of 311 data of cities and the residents in the United States. We have compared various aspects of municipal governments' service platforms and citizens' requests during pre-COVID, the lockdown, and the rest of the pandemic duration. Among multiple observations from the data, we discover the noticeable changes in the digital transformation of citizens' voices during the COVID-19 pandemic. We observe disparities in service adaptation across many cities, where only a few cities have quickly added pandemic responsive service types and favorable 311 mobile apps in addition to phone and online web services. Besides the digital transformation of residents and municipal governments, we also find that various aspects of divides of residents, such as economic, COVID-related health, and demands are closely related to each other. We have built a comprehensive website that dynamically collects 311 data from municipal open data of cities in the United States that other researchers or urban planners can use to understand citizens' voices better and draw insights.
{"title":"Digital Transformation and Divide of Cities through the COVID-19 Pandemic","authors":"Rafida Zaman, Baek-Young Choi, Sejun Song","doi":"10.1109/ISC255366.2022.9922044","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9922044","url":null,"abstract":"The COVID-19 pandemic has affected almost all sectors of society in a short period. In this paper, we study the impact of the COVID-19 pandemic on smart cities through analyses of 311 data of cities and the residents in the United States. We have compared various aspects of municipal governments' service platforms and citizens' requests during pre-COVID, the lockdown, and the rest of the pandemic duration. Among multiple observations from the data, we discover the noticeable changes in the digital transformation of citizens' voices during the COVID-19 pandemic. We observe disparities in service adaptation across many cities, where only a few cities have quickly added pandemic responsive service types and favorable 311 mobile apps in addition to phone and online web services. Besides the digital transformation of residents and municipal governments, we also find that various aspects of divides of residents, such as economic, COVID-related health, and demands are closely related to each other. We have built a comprehensive website that dynamically collects 311 data from municipal open data of cities in the United States that other researchers or urban planners can use to understand citizens' voices better and draw insights.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121566972","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}
Pub Date : 2022-09-26DOI: 10.1109/ISC255366.2022.9922361
Johannes Zenkert, Christian Weber, Mubaris Nadeem, Lisa Bender, M. Fathi, Abu Shad Ahammed, Aniebiet Micheal Ezekiel, R. Obermaisser, Maximilian Bradford
This short paper presents first steps in the scientific part of the KIRETT project, which aims to improve first aid during rescue operations using a wearable device. The wearable is used for computer-aided situation recognition by means of artificial intelligence. It provides contextual recommendations for actions and operations to rescue personnel and is intended to minimize damage to patients due to incorrect treatment, as well as increase the probability of survival. The paper describes a first overview of research approaches within the project.
{"title":"KIRETT - A wearable device to support rescue operations using artificial intelligence to improve first aid","authors":"Johannes Zenkert, Christian Weber, Mubaris Nadeem, Lisa Bender, M. Fathi, Abu Shad Ahammed, Aniebiet Micheal Ezekiel, R. Obermaisser, Maximilian Bradford","doi":"10.1109/ISC255366.2022.9922361","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9922361","url":null,"abstract":"This short paper presents first steps in the scientific part of the KIRETT project, which aims to improve first aid during rescue operations using a wearable device. The wearable is used for computer-aided situation recognition by means of artificial intelligence. It provides contextual recommendations for actions and operations to rescue personnel and is intended to minimize damage to patients due to incorrect treatment, as well as increase the probability of survival. The paper describes a first overview of research approaches within the project.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131902842","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}
Pub Date : 2022-09-26DOI: 10.1109/ISC255366.2022.9922360
Christos N. Karras, Aristeidis Karras, G. Drakopoulos, D. Tsolis, Phivos Mylonas, S. Sioutas
Emotion detection is crucial in many IoT deployments from an operational perspective with examples ranging from digital health to smart cities. This is particularly true in smart homes where the interaction between the local IoT ecosystem and the inhabitants are continuous, pervasive, and nuanced. More specifically, emotion estimation from human speech attributes is an integral architectural component of such ecosystems. In this work, we survey the emerging LPWAN technologies and after selecting the most optimal for our use-case, we propose an emotion estimation scheme based on LoRa wireless technology for automated actions in smart home environments. In particular, a voice recognition module coupled with a transmitter are installed in a car. Then, depending on the estimation outcome, the smart home may undertake one or more preemptive actions according to its configuration as the car passenger approaches. The prototype LoRa system has been tested with the widely-used TESS dataset with encouraging results as expressed in the emotion confusion matrix obtained from a extreme learning machine with various kernels. The preceding paves the way for adaptive smart homes tailored to the needs of their inhabitants.
{"title":"A LoRa-Based Emotion Estimation Scheme for Smart Home Automated Actions Using ELMs","authors":"Christos N. Karras, Aristeidis Karras, G. Drakopoulos, D. Tsolis, Phivos Mylonas, S. Sioutas","doi":"10.1109/ISC255366.2022.9922360","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9922360","url":null,"abstract":"Emotion detection is crucial in many IoT deployments from an operational perspective with examples ranging from digital health to smart cities. This is particularly true in smart homes where the interaction between the local IoT ecosystem and the inhabitants are continuous, pervasive, and nuanced. More specifically, emotion estimation from human speech attributes is an integral architectural component of such ecosystems. In this work, we survey the emerging LPWAN technologies and after selecting the most optimal for our use-case, we propose an emotion estimation scheme based on LoRa wireless technology for automated actions in smart home environments. In particular, a voice recognition module coupled with a transmitter are installed in a car. Then, depending on the estimation outcome, the smart home may undertake one or more preemptive actions according to its configuration as the car passenger approaches. The prototype LoRa system has been tested with the widely-used TESS dataset with encouraging results as expressed in the emotion confusion matrix obtained from a extreme learning machine with various kernels. The preceding paves the way for adaptive smart homes tailored to the needs of their inhabitants.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116537926","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}
Pub Date : 2022-09-26DOI: 10.1109/ISC255366.2022.9922004
L. G. Chavira, N. Villanueva-Rosales, J. Heyman, D. Pennington, K. Salas
Water sustainability in cities has become a priority concern due to growing city populations and climate change. This is particularly important for cities that face severe water challenges, such as the twin border cities of Ciudad Juarez, Chihuahua in Mexico, and El Paso, Texas, USA. While the municipal utilities and government make immediate decisions about water sourcing, pricing, and use, both are public agencies, subject to democratic participation and decision-making. An integrated platform solution may be convenient for stakeholders that interact with multiple aspects of a complex and dynamic system, such as those involved in water sustainability. The Sustainable Water through Integrated Modeling (SWIM) platform provides comprehensible regional water models publicly on the Web that would otherwise only be accessible to domain experts. SWIM leverages future scenario analysis for citizen engagement. This paper presents the motivation, architecture, user interface, and capabilities of SWIM and how it can interoperate with Smart City ICT platforms to enable dynamic systems modeling for decision-making in a Smart City sustainable environment.
{"title":"Supporting Regional Water Sustainability Decision-Making through Integrated Modeling","authors":"L. G. Chavira, N. Villanueva-Rosales, J. Heyman, D. Pennington, K. Salas","doi":"10.1109/ISC255366.2022.9922004","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9922004","url":null,"abstract":"Water sustainability in cities has become a priority concern due to growing city populations and climate change. This is particularly important for cities that face severe water challenges, such as the twin border cities of Ciudad Juarez, Chihuahua in Mexico, and El Paso, Texas, USA. While the municipal utilities and government make immediate decisions about water sourcing, pricing, and use, both are public agencies, subject to democratic participation and decision-making. An integrated platform solution may be convenient for stakeholders that interact with multiple aspects of a complex and dynamic system, such as those involved in water sustainability. The Sustainable Water through Integrated Modeling (SWIM) platform provides comprehensible regional water models publicly on the Web that would otherwise only be accessible to domain experts. SWIM leverages future scenario analysis for citizen engagement. This paper presents the motivation, architecture, user interface, and capabilities of SWIM and how it can interoperate with Smart City ICT platforms to enable dynamic systems modeling for decision-making in a Smart City sustainable environment.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116600482","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}
Pub Date : 2022-09-26DOI: 10.1109/ISC255366.2022.9922048
Mayank Parmar, P. Kelly, D. Berry
Internet-of- Things (IoT) employs a variety of sensing technologies to monitor environment, activities, processes, and surrounding. One such sensing technology includes Bluetooth Low Energy (BLE) which could be used to study pedestrian traffic. This can subsequently be used to understand utilisation of spaces and to ameliorate mobility and transportation. Such studies can contribute to urban (re-)development plans to sustainably smarten the built environment, but this is only possible by having a clear understanding of the nature of BLE signal propagation and correlating its Received Signal Strength Indicator (RSSI) values to environmental topology and pedestrian movements. Additionally, in comparison to other pedestrian behaviour monitoring technologies, BLE limits pedestrians identification and hence, can be aligned to preserve their privacy. In this paper, we highlight the effect that body occlusion has on BLE RSSI values. The objective is to identify indicators in the pattern of RSSI values that identifies the way BLE devices are carried by pedestrians moving in the environment. This study will allow planners who study pedestrian traffic to form a better understanding of BLE signal propagation and signal interaction in outdoor environments. The knowledge acquired through this study will feed in to the development of an outdoor pedestrian monitoring system that is capable of identifying pedestrian behavioural patterns while preserving their privacy.
{"title":"Effects of Body Occlusion on Bluetooth Low Energy RSSI in Identifying Close Proximity of Pedestrians in Outdoor Environments","authors":"Mayank Parmar, P. Kelly, D. Berry","doi":"10.1109/ISC255366.2022.9922048","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9922048","url":null,"abstract":"Internet-of- Things (IoT) employs a variety of sensing technologies to monitor environment, activities, processes, and surrounding. One such sensing technology includes Bluetooth Low Energy (BLE) which could be used to study pedestrian traffic. This can subsequently be used to understand utilisation of spaces and to ameliorate mobility and transportation. Such studies can contribute to urban (re-)development plans to sustainably smarten the built environment, but this is only possible by having a clear understanding of the nature of BLE signal propagation and correlating its Received Signal Strength Indicator (RSSI) values to environmental topology and pedestrian movements. Additionally, in comparison to other pedestrian behaviour monitoring technologies, BLE limits pedestrians identification and hence, can be aligned to preserve their privacy. In this paper, we highlight the effect that body occlusion has on BLE RSSI values. The objective is to identify indicators in the pattern of RSSI values that identifies the way BLE devices are carried by pedestrians moving in the environment. This study will allow planners who study pedestrian traffic to form a better understanding of BLE signal propagation and signal interaction in outdoor environments. The knowledge acquired through this study will feed in to the development of an outdoor pedestrian monitoring system that is capable of identifying pedestrian behavioural patterns while preserving their privacy.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131656179","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}
Pub Date : 2022-09-26DOI: 10.1109/ISC255366.2022.9921813
Elias Kharbouche, William Lamboglia Ferreira, D. García, François Bernier, S. Blayac
In smart cities, air quality monitoring is essential to maintain the citizens in good health. In order to acquire accurate data, numerous sensor nodes must be deployed. However, the use of batteries to supply energy to these sensors does not seem suitable. In recent studies, ambient mechanical energy harvesting from Triboelectric Nanogenerators (TENGs) have gained in efficiency, while they kept their simplicity in terms of design. In this contribution, a highly integrated planar airflow energy harvester is presented as an opportunity of using permanent and constant city airflows. This device can produce power for a wide range of airflow velocities. A maximum power of 4.52 mW RMS was observed at 10 m.s−1. The perspective to supply a connected object for air quality monitoring is considered. The results show that from a 5.63 m.s−1 airflow, our energy harvester can achieve the object energy budget (702 mJ) in 15.74 minutes. This approach is promising for exploiting the available energy in the city and concurrently monitoring its air quality.
{"title":"Highly Integrated Planar Airflow Energy Harvester for Self-Powered Air Quality Monitoring","authors":"Elias Kharbouche, William Lamboglia Ferreira, D. García, François Bernier, S. Blayac","doi":"10.1109/ISC255366.2022.9921813","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9921813","url":null,"abstract":"In smart cities, air quality monitoring is essential to maintain the citizens in good health. In order to acquire accurate data, numerous sensor nodes must be deployed. However, the use of batteries to supply energy to these sensors does not seem suitable. In recent studies, ambient mechanical energy harvesting from Triboelectric Nanogenerators (TENGs) have gained in efficiency, while they kept their simplicity in terms of design. In this contribution, a highly integrated planar airflow energy harvester is presented as an opportunity of using permanent and constant city airflows. This device can produce power for a wide range of airflow velocities. A maximum power of 4.52 mW RMS was observed at 10 m.s−1. The perspective to supply a connected object for air quality monitoring is considered. The results show that from a 5.63 m.s−1 airflow, our energy harvester can achieve the object energy budget (702 mJ) in 15.74 minutes. This approach is promising for exploiting the available energy in the city and concurrently monitoring its air quality.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134502295","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}
Pub Date : 2022-09-26DOI: 10.1109/ISC255366.2022.9922429
Maryna Pobudzei, Anis Sellaouti, Michaela Tiessler, S. Hoffmann
This paper analyzes the meteorological and temporal impacts on shared e-scooters (SES) over 27 months of service in Munich. The objective is to explore the factors associated with SES utilization (hourly usage counts, median ride distances, and booking durations), focusing on time-variant variables (weather, holiday, time of the year, week, and day). This study employs the negative binomial (NB) and Consul's generalized Poisson (GP-1) regressions for modeling SES hourly demand. The Poisson regression is used for hourly medians of SES ride distances and booking durations. Random forest models evaluate the relative importance of meteorological and temporal variables for SES usage. In Munich, the popularity of SES grew over time. The peak booking numbers were on Fridays, Saturdays, and afternoons. Longer rides were on the weekends and holidays than on working days. The most extended trips were around midnight, posing the issue of riders' visibility. The COVID-19 lockdown negatively impacted SES bookings. Compared to winter, more and longer rides were between July and November. The weather impacted e-scooter usage with fewer bookings and shorter rides when raining and humid and more and longer trips when warm. Negative weather impacts for e-scooters may be partially due to a reduction in recreational use as weather discourages many outside activities.
{"title":"Riders on the Storm: Exploring Meteorological and Temporal Impacts on Shared E-Scooters (SES) in Munich, Germany","authors":"Maryna Pobudzei, Anis Sellaouti, Michaela Tiessler, S. Hoffmann","doi":"10.1109/ISC255366.2022.9922429","DOIUrl":"https://doi.org/10.1109/ISC255366.2022.9922429","url":null,"abstract":"This paper analyzes the meteorological and temporal impacts on shared e-scooters (SES) over 27 months of service in Munich. The objective is to explore the factors associated with SES utilization (hourly usage counts, median ride distances, and booking durations), focusing on time-variant variables (weather, holiday, time of the year, week, and day). This study employs the negative binomial (NB) and Consul's generalized Poisson (GP-1) regressions for modeling SES hourly demand. The Poisson regression is used for hourly medians of SES ride distances and booking durations. Random forest models evaluate the relative importance of meteorological and temporal variables for SES usage. In Munich, the popularity of SES grew over time. The peak booking numbers were on Fridays, Saturdays, and afternoons. Longer rides were on the weekends and holidays than on working days. The most extended trips were around midnight, posing the issue of riders' visibility. The COVID-19 lockdown negatively impacted SES bookings. Compared to winter, more and longer rides were between July and November. The weather impacted e-scooter usage with fewer bookings and shorter rides when raining and humid and more and longer trips when warm. Negative weather impacts for e-scooters may be partially due to a reduction in recreational use as weather discourages many outside activities.","PeriodicalId":277015,"journal":{"name":"2022 IEEE International Smart Cities Conference (ISC2)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134286126","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}
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