Pub Date : 2019-10-01DOI: 10.1109/ISC246665.2019.9071684
Mirzodaler Muhsinzoda, Carlos Cruz Corona, D. Pelta, J. Verdegay
We describe the problem of partially sighted pedestrians who identify crossing the street as a difficult task. Pedestrian call buttons remain difficult to activate for partially sighted pedestrians. We believe that human-technology interfaces such as speech-related technologies can help to make this task easier. We propose a deep learning model for keyword spotting system where pedestrians can activate the pedestrian call button using their voice and thus enable them to cross the streets safely.
{"title":"Activating accessible pedestrian signals by voice using keyword spotting systems","authors":"Mirzodaler Muhsinzoda, Carlos Cruz Corona, D. Pelta, J. Verdegay","doi":"10.1109/ISC246665.2019.9071684","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071684","url":null,"abstract":"We describe the problem of partially sighted pedestrians who identify crossing the street as a difficult task. Pedestrian call buttons remain difficult to activate for partially sighted pedestrians. We believe that human-technology interfaces such as speech-related technologies can help to make this task easier. We propose a deep learning model for keyword spotting system where pedestrians can activate the pedestrian call button using their voice and thus enable them to cross the streets safely.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131109187","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 : 2019-10-01DOI: 10.1109/ISC246665.2019.9071700
Irini Spyridakis, Madison Holbrook, Brent Gruenke, S. Latha
Food waste is a prevalent issue worldwide. Close to 15 percent of households in the U.S. are food insecure. The U.S. wastes up to 40 percent of food, disposing not only food, but also wasting precious resources ranging from land, water, labor, and energy in the production and transportation of food from farm to consumers. At the University of Washington (UW), a research group in the department of Human Centered Design &Engineering (HCDE) designed a solution to food waste by creating an interactive, responsive open source website (Meal Matchup) to facilitate food donation and connect dining hall managers, local shelters, and student deliverers. This paper focuses on the consequences of food waste as well as how Meal Matchup manages resources and helps deliver leftover food to those in need through the use of technology, volunteerism, and civic engagement.
{"title":"Smart Resource Management: Civic Engagement and Food Recovery","authors":"Irini Spyridakis, Madison Holbrook, Brent Gruenke, S. Latha","doi":"10.1109/ISC246665.2019.9071700","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071700","url":null,"abstract":"Food waste is a prevalent issue worldwide. Close to 15 percent of households in the U.S. are food insecure. The U.S. wastes up to 40 percent of food, disposing not only food, but also wasting precious resources ranging from land, water, labor, and energy in the production and transportation of food from farm to consumers. At the University of Washington (UW), a research group in the department of Human Centered Design &Engineering (HCDE) designed a solution to food waste by creating an interactive, responsive open source website (Meal Matchup) to facilitate food donation and connect dining hall managers, local shelters, and student deliverers. This paper focuses on the consequences of food waste as well as how Meal Matchup manages resources and helps deliver leftover food to those in need through the use of technology, volunteerism, and civic engagement.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125541157","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 : 2019-10-01DOI: 10.1109/ISC246665.2019.9071738
Didier Bassolé, Kisito K. Kabore, Yaya Traoré, Oumarou Sié, H. Sta
The security of Internet of Things (IoT) systems is a major issue for protection of data and safety of people. This requires developing solutions that address security issues related to the design of communication protocols between objects but also in the collection, processing, routing and storage of data. In this paper, we propose a methodology for the design and implementation of secure protocols for the Internet of Things which currently represents a major part of our daily life. We propose to minimize vulnerabilities in the design and implementation of communication protocols in IoT platforms by combining simulations of fault injection attacks at the binary level combined with model checking of binaries. Our methodology takes into account the characteristics nature of IoT systems.
{"title":"Design and implementation of secure communication protocols for Internet of Things systems","authors":"Didier Bassolé, Kisito K. Kabore, Yaya Traoré, Oumarou Sié, H. Sta","doi":"10.1109/ISC246665.2019.9071738","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071738","url":null,"abstract":"The security of Internet of Things (IoT) systems is a major issue for protection of data and safety of people. This requires developing solutions that address security issues related to the design of communication protocols between objects but also in the collection, processing, routing and storage of data. In this paper, we propose a methodology for the design and implementation of secure protocols for the Internet of Things which currently represents a major part of our daily life. We propose to minimize vulnerabilities in the design and implementation of communication protocols in IoT platforms by combining simulations of fault injection attacks at the binary level combined with model checking of binaries. Our methodology takes into account the characteristics nature of IoT systems.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"289 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117294676","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 : 2019-10-01DOI: 10.1109/ISC246665.2019.9071696
A. Monzón, Iria Lopez-Carreiro, Elena López
The paper presents some results of the EU project KLIMATe, funded by the EIT Climate. KLIMATe explores the market potential for implementing a Mobility as a Service (MaaS) travel-assistance application in the metropolitan area of Madrid (Spain). This tool would allow travellers to obtain personalised multimodal recommendations on-demand for cleaner urban mobility choices. Thus, it would facilitate the transition towards more liveable, zero-carbon and resilient cities. We performed an extensive online survey of transportation choices in Madrid. The questionnaire was focused on four aspects: (i) socio-demographic characteristics, (ii) personal traits, (iii) personal attitudes and (iv) travel habits. Our findings provide researchers and practitioners with a better understanding of the users’ willingness to adopt travel-planning applications, allowing to identify potential elements to be considered for the successful implementation of these technologies.
{"title":"Evaluating citizens’ willingness to uptake a MaaS tool for metropolitan multimodal trips","authors":"A. Monzón, Iria Lopez-Carreiro, Elena López","doi":"10.1109/ISC246665.2019.9071696","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071696","url":null,"abstract":"The paper presents some results of the EU project KLIMATe, funded by the EIT Climate. KLIMATe explores the market potential for implementing a Mobility as a Service (MaaS) travel-assistance application in the metropolitan area of Madrid (Spain). This tool would allow travellers to obtain personalised multimodal recommendations on-demand for cleaner urban mobility choices. Thus, it would facilitate the transition towards more liveable, zero-carbon and resilient cities. We performed an extensive online survey of transportation choices in Madrid. The questionnaire was focused on four aspects: (i) socio-demographic characteristics, (ii) personal traits, (iii) personal attitudes and (iv) travel habits. Our findings provide researchers and practitioners with a better understanding of the users’ willingness to adopt travel-planning applications, allowing to identify potential elements to be considered for the successful implementation of these technologies.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127726055","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 : 2019-10-01DOI: 10.1109/ISC246665.2019.9071756
M. Manjutha, P. Subashini, M. Krishnaveni, V. Narmadha
Speech is the most important and indispensable mode of communication between humans. In communication, the continuous flow of speech gets affected due to the interruption of emotional, panic and psychological factors that cause syllable or word repetition, prolongation and interjection. Speech dysfluency is a primary challenge for speech pathologist to isolate the normal speech from the stuttered speech. The primary objective of this paper is to propose a novel approach through optimized cepstral features selection that improves the classifiers accuracy. In this paper, Particle Swarm Optimization (PSO) and Synergistic Fibroblast Optimization (SFO) were introduced to select optimal features from conventional MFCC (Mel-Frequency Cepstrum Coefficients). The optimized cepstral features from PSO and SFO of pre-processed Tamil speech data is used to discriminate among different categories of speech signals like Normal, Moderate and Sever stutter through machine learning classification methods such as Support Vector Machine (SVM) and Naive Bayes (NB). From the experimental results, the optimal selection of cepstral features using SFO algorithm has achieved high accuracy of 96.08% employed with NB which outperforms well to the feature selection of PSO and classical MFCC. The evaluation of the proposed methodology is done by using performance metrics like sensitivity, specificity, precision, f-score and accuracy.
{"title":"An Optimized Cepstral Feature Selection method for Dysfluencies Classification using Tamil Speech Dataset","authors":"M. Manjutha, P. Subashini, M. Krishnaveni, V. Narmadha","doi":"10.1109/ISC246665.2019.9071756","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071756","url":null,"abstract":"Speech is the most important and indispensable mode of communication between humans. In communication, the continuous flow of speech gets affected due to the interruption of emotional, panic and psychological factors that cause syllable or word repetition, prolongation and interjection. Speech dysfluency is a primary challenge for speech pathologist to isolate the normal speech from the stuttered speech. The primary objective of this paper is to propose a novel approach through optimized cepstral features selection that improves the classifiers accuracy. In this paper, Particle Swarm Optimization (PSO) and Synergistic Fibroblast Optimization (SFO) were introduced to select optimal features from conventional MFCC (Mel-Frequency Cepstrum Coefficients). The optimized cepstral features from PSO and SFO of pre-processed Tamil speech data is used to discriminate among different categories of speech signals like Normal, Moderate and Sever stutter through machine learning classification methods such as Support Vector Machine (SVM) and Naive Bayes (NB). From the experimental results, the optimal selection of cepstral features using SFO algorithm has achieved high accuracy of 96.08% employed with NB which outperforms well to the feature selection of PSO and classical MFCC. The evaluation of the proposed methodology is done by using performance metrics like sensitivity, specificity, precision, f-score and accuracy.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134510748","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 : 2019-10-01DOI: 10.1109/ISC246665.2019.9071727
Miguel B. Costa, Paulo Cambra, Filipe Moura, Manuel Marques
Walking is an increasingly important issue in city planning. Sidewalk conditions are important to promote walking in cities and to ensure equitable accessibility for all. However, current methods of evaluating sidewalks are rather complex, subjective and resource-intensive, requiring expensive equipment or experts in the field. These factors make collecting sidewalk data at city level a challenge.In this paper, we propose WalkBot, an innovative, cost effective system to scan sidewalks. WalkBot is a portable data acquisition system capable of scanning and mapping sidewalk information. WalkBot collects 3D information about the environment and its geolocation, which is processed offline to provide key accessibility metrics, such as effective width and the presence of ground irregularities, thus evaluating the pedestrian network for compliance with accessibility standards more efficiently than current methods of manual and visual auditing.The device was tested in a sample of Lisbon’s sidewalks, measuring sidewalk width, smoothness and free passing distance. The obtained results show that we can provide good measurements for the evaluation of the sidewalk conditions. These findings encourage the application of the WalkBot system to city-level, ultimately contributing to a people and environment-friendly city.
{"title":"WalkBot: A Portable System to Scan Sidewalks","authors":"Miguel B. Costa, Paulo Cambra, Filipe Moura, Manuel Marques","doi":"10.1109/ISC246665.2019.9071727","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071727","url":null,"abstract":"Walking is an increasingly important issue in city planning. Sidewalk conditions are important to promote walking in cities and to ensure equitable accessibility for all. However, current methods of evaluating sidewalks are rather complex, subjective and resource-intensive, requiring expensive equipment or experts in the field. These factors make collecting sidewalk data at city level a challenge.In this paper, we propose WalkBot, an innovative, cost effective system to scan sidewalks. WalkBot is a portable data acquisition system capable of scanning and mapping sidewalk information. WalkBot collects 3D information about the environment and its geolocation, which is processed offline to provide key accessibility metrics, such as effective width and the presence of ground irregularities, thus evaluating the pedestrian network for compliance with accessibility standards more efficiently than current methods of manual and visual auditing.The device was tested in a sample of Lisbon’s sidewalks, measuring sidewalk width, smoothness and free passing distance. The obtained results show that we can provide good measurements for the evaluation of the sidewalk conditions. These findings encourage the application of the WalkBot system to city-level, ultimately contributing to a people and environment-friendly city.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130570039","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 : 2019-10-01DOI: 10.1109/ISC246665.2019.9071768
C. Boccaletti, C. Moscatiello, M. Jubran, Haifa Takruri, M. Abdelati, J. Munilla
The paper presents the mid-term progress report of a project granted by the Erasmus+ Programme, focused in particular on three fields that are considered enablers for Smart Cities (SCs): Telecommunications and Computer Networks, IT Security, and Smart Grids (SGs). Policy makers and stakeholders in Palestine (PS) have made the decision to move towards a knowledge-based economy with the aim of providing a rapid but sustainable economic growth. Moreover, the implementation of the SC concept in urban areas is recognized as the mean to promote the development of infrastructures and services, and improve the quality of life of citizens. The project main contributions are: (i) the transfer of know-how from European experts to PS; (ii) the enhancement of capacity building and skills of professors, students, and industry employees. Since Academia-Industry partnerships play a pivotal role in this process, the aim of the project is also to provoke Academia-Industry cooperation, which is not only a national priority, but is also necessary to increase the employability of new graduates.
{"title":"e-Academy to support Smart Cities Operations in Palestine (eSCO) project: progress report","authors":"C. Boccaletti, C. Moscatiello, M. Jubran, Haifa Takruri, M. Abdelati, J. Munilla","doi":"10.1109/ISC246665.2019.9071768","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071768","url":null,"abstract":"The paper presents the mid-term progress report of a project granted by the Erasmus+ Programme, focused in particular on three fields that are considered enablers for Smart Cities (SCs): Telecommunications and Computer Networks, IT Security, and Smart Grids (SGs). Policy makers and stakeholders in Palestine (PS) have made the decision to move towards a knowledge-based economy with the aim of providing a rapid but sustainable economic growth. Moreover, the implementation of the SC concept in urban areas is recognized as the mean to promote the development of infrastructures and services, and improve the quality of life of citizens. The project main contributions are: (i) the transfer of know-how from European experts to PS; (ii) the enhancement of capacity building and skills of professors, students, and industry employees. Since Academia-Industry partnerships play a pivotal role in this process, the aim of the project is also to provoke Academia-Industry cooperation, which is not only a national priority, but is also necessary to increase the employability of new graduates.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130612940","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 : 2019-10-01DOI: 10.1109/ISC246665.2019.9071781
Ubaldo Castro, Jonathan Avila, Cynthia V. Sustaita, M. Hernandez, Víctor M. Larios-Rosillo, N. Villanueva-Rosales, O. Mondragon, R. Cheu, Ma. Roció Maciel Arellano
Flooding hinders the ability of residents to move through-out urban areas. Current weather information systems provide weather forecasts with a granularity too coarse to inform city residents of floods at a street level. Reliable real-time data is also limited in some cities and only a few systems enable users to report flooding events. This research project aims to inform residents about flooding events through the Flooding Alert System (FAS), which seamlessly integrates real-time data, crowdsourced data, historical data and provides timely and precise information to users so that they can make informed decisions during these events. The proposed Smart Cities solution, uses Internet of Things sensors equipped with an image processing algorithm for approximating the water level at at-risk areas. In adittion, a mobile application allows users to report and receive alerts of nearby flooding events as they occur. The expected products will be piloted in Guadalajara, JAL, MX. Transferability of our solution is planned to be evaluated through the application of these products in El Paso, TX, USA.
{"title":"Towards Smart Mobility During Flooding Events in Urban Areas using Crowdsourced Information","authors":"Ubaldo Castro, Jonathan Avila, Cynthia V. Sustaita, M. Hernandez, Víctor M. Larios-Rosillo, N. Villanueva-Rosales, O. Mondragon, R. Cheu, Ma. Roció Maciel Arellano","doi":"10.1109/ISC246665.2019.9071781","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071781","url":null,"abstract":"Flooding hinders the ability of residents to move through-out urban areas. Current weather information systems provide weather forecasts with a granularity too coarse to inform city residents of floods at a street level. Reliable real-time data is also limited in some cities and only a few systems enable users to report flooding events. This research project aims to inform residents about flooding events through the Flooding Alert System (FAS), which seamlessly integrates real-time data, crowdsourced data, historical data and provides timely and precise information to users so that they can make informed decisions during these events. The proposed Smart Cities solution, uses Internet of Things sensors equipped with an image processing algorithm for approximating the water level at at-risk areas. In adittion, a mobile application allows users to report and receive alerts of nearby flooding events as they occur. The expected products will be piloted in Guadalajara, JAL, MX. Transferability of our solution is planned to be evaluated through the application of these products in El Paso, TX, USA.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"118 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134365890","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 : 2019-10-01DOI: 10.1109/ISC246665.2019.9071664
Jatuwat Sa-ngiampak, Chutipon Hirankanokkul, Yanisa Sunthornyotin, Jakpat Mingmongkolmitr, Sojirath Thunprateep, Nicha Rojsrikul, Tai Tantipiwatanaskul, Kachamas Techapichetvanich, Anon Pongsawang, Thanakorn Prayoonkittikul, Ukrit Wattanakulchart, N. Prompoon, C. Ratanamahatana, M. Pipattanasomporn
At any college-level institutions, students typically carry heavy belongings to the university every day. While generic lockers are available on campus, these lockers can only be used by one person at a time. In addition, information regarding locker locations and their availability are not available. This project focuses on the use of Internet of Things (IoT) and full stack software development to offer an alternative smart locker solution, called LockerSwarm. Instead of a physical key, each locker can be unlocked by scanning a Quick Response code (QR code), and its access can be shared among selected individuals. Users can search for the closest lockers, see the locations of all lockers, and check locker availability. Overall, this project sheds the new light on integrating IoT technologies to transform traditional lockers to smart lockers, which is a part of a smart campus initiative. With the prototype development and testing experience at Chulalongkorn University, Thailand, the entire LockerSwarm system is deemed to be easily replicable at any other university campuses.
{"title":"LockerSwarm: An IoT-based Smart Locker System with Access Sharing","authors":"Jatuwat Sa-ngiampak, Chutipon Hirankanokkul, Yanisa Sunthornyotin, Jakpat Mingmongkolmitr, Sojirath Thunprateep, Nicha Rojsrikul, Tai Tantipiwatanaskul, Kachamas Techapichetvanich, Anon Pongsawang, Thanakorn Prayoonkittikul, Ukrit Wattanakulchart, N. Prompoon, C. Ratanamahatana, M. Pipattanasomporn","doi":"10.1109/ISC246665.2019.9071664","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071664","url":null,"abstract":"At any college-level institutions, students typically carry heavy belongings to the university every day. While generic lockers are available on campus, these lockers can only be used by one person at a time. In addition, information regarding locker locations and their availability are not available. This project focuses on the use of Internet of Things (IoT) and full stack software development to offer an alternative smart locker solution, called LockerSwarm. Instead of a physical key, each locker can be unlocked by scanning a Quick Response code (QR code), and its access can be shared among selected individuals. Users can search for the closest lockers, see the locations of all lockers, and check locker availability. Overall, this project sheds the new light on integrating IoT technologies to transform traditional lockers to smart lockers, which is a part of a smart campus initiative. With the prototype development and testing experience at Chulalongkorn University, Thailand, the entire LockerSwarm system is deemed to be easily replicable at any other university campuses.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"201 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130284223","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 : 2019-10-01DOI: 10.1109/ISC246665.2019.9071659
D. Petrova-Antonova, Olga B. Mora Sánchez, Víctor M. Larios-Rosillo, M. M. Z. Ramirez
Air pollution in urban areas has increased exponentially in recent years, causing cardiovascular, respiratory, endocrine and oncology diseases, reducing the quality of life of citizens. Since the vegetation, fauna, water, and soil together with the services they support are directly affected, the air quality becomes a primary challenge for cities. This work shows the tendencies of the air pollution levels for two cities, namely the city of Sofia, Bulgaria and the city of Guadalajara, México. We performed a first correlation analysis in order to find emission patterns and display similar characteristics in both cities as well as to cooperate in jointly strategies to improve the air quality.
{"title":"Air quality monitoring and correlation: a use case of Sofia and Guadalajara","authors":"D. Petrova-Antonova, Olga B. Mora Sánchez, Víctor M. Larios-Rosillo, M. M. Z. Ramirez","doi":"10.1109/ISC246665.2019.9071659","DOIUrl":"https://doi.org/10.1109/ISC246665.2019.9071659","url":null,"abstract":"Air pollution in urban areas has increased exponentially in recent years, causing cardiovascular, respiratory, endocrine and oncology diseases, reducing the quality of life of citizens. Since the vegetation, fauna, water, and soil together with the services they support are directly affected, the air quality becomes a primary challenge for cities. This work shows the tendencies of the air pollution levels for two cities, namely the city of Sofia, Bulgaria and the city of Guadalajara, México. We performed a first correlation analysis in order to find emission patterns and display similar characteristics in both cities as well as to cooperate in jointly strategies to improve the air quality.","PeriodicalId":306836,"journal":{"name":"2019 IEEE International Smart Cities Conference (ISC2)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132982691","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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