Pub Date : 2020-11-12DOI: 10.1109/ISTAS50296.2020.9462170
Maryam Heidari, S. Rafatirad
Real estate investment decisions are critical for low-income people who have just one home as their life-time investment option. So during the COVID-19 pandemic, unemployment causes many homeowners with a low income to lose their homes because of two major factors: one, they could not pay their mortgages without a job, and second, their house could not be rented easily. Rent prediction in real-estate can guarantee the success of an investment. Online information from real estate websites plays a significant role in making a business decision to buy a home. This paper applies natural language processing models to introduce a new model for safe real estate investment based on online information. For the first time, we use a transfer learning model based on online information from various online resources to detect a profitable rental property. Bidirectional Encoder Representations from Transformers(BERT) are used to implement a semantic convolutional neural network model to predict real estate investment safety. This work introduces a new model for rent prediction based on the United States housing market. Our contribution is three-fold: (1) using natural language processing approach to use the semantics of online information on Airbnb, Zillow, Schools, Public transportation, and crime rate websites for rent prediction (2) We perform a comprehensive analysis of eager and lazy machine learning models as a traditional Machine learning models with our proposed new transfer learning model for rent prediction. (3) Creating a new public data set of semantic analysis for more than 5 million houses in the United States based on online information. This data set will be available for public research in natural language processing research for people analytic applications. This work introduces a new machine learning model to guarantee safe investment in the real estate market using a transfer learning approach based on online information.
{"title":"Bidirectional Transformer based on online Text-based information to Implement Convolutional Neural Network Model For Secure Business Investment","authors":"Maryam Heidari, S. Rafatirad","doi":"10.1109/ISTAS50296.2020.9462170","DOIUrl":"https://doi.org/10.1109/ISTAS50296.2020.9462170","url":null,"abstract":"Real estate investment decisions are critical for low-income people who have just one home as their life-time investment option. So during the COVID-19 pandemic, unemployment causes many homeowners with a low income to lose their homes because of two major factors: one, they could not pay their mortgages without a job, and second, their house could not be rented easily. Rent prediction in real-estate can guarantee the success of an investment. Online information from real estate websites plays a significant role in making a business decision to buy a home. This paper applies natural language processing models to introduce a new model for safe real estate investment based on online information. For the first time, we use a transfer learning model based on online information from various online resources to detect a profitable rental property. Bidirectional Encoder Representations from Transformers(BERT) are used to implement a semantic convolutional neural network model to predict real estate investment safety. This work introduces a new model for rent prediction based on the United States housing market. Our contribution is three-fold: (1) using natural language processing approach to use the semantics of online information on Airbnb, Zillow, Schools, Public transportation, and crime rate websites for rent prediction (2) We perform a comprehensive analysis of eager and lazy machine learning models as a traditional Machine learning models with our proposed new transfer learning model for rent prediction. (3) Creating a new public data set of semantic analysis for more than 5 million houses in the United States based on online information. This data set will be available for public research in natural language processing research for people analytic applications. This work introduces a new machine learning model to guarantee safe investment in the real estate market using a transfer learning approach based on online information.","PeriodicalId":196560,"journal":{"name":"2020 IEEE International Symposium on Technology and Society (ISTAS)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134371640","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 : 2020-11-12DOI: 10.1109/ISTAS50296.2020.9462173
Giordano Benitez Torres, Michael C. King
The accuracy of automatic face recognition has increased significantly over the last decade. Technology developers actively try to improve their tools and algorithms; for this to occur, there is a need for high-quality datasets with a large number of images to test and develop new techniques. Online social networks provide a vast digital media resource, given the volume of traffic that goes through its infrastructure. The content within it varies but is predominately flooded by images. In this era where selfies are the norm, we examine a collection method employed to harvest face data from the subject’s images via the web. We then show how it can be processed and organized so that it is useful for biometric applications. In addition, this experiment demonstrates how restrictions put in place by social media platforms are inadequate in the protection of their user’s data.
{"title":"Harvesting Faces from Social Media Photos for Biometric Analysis","authors":"Giordano Benitez Torres, Michael C. King","doi":"10.1109/ISTAS50296.2020.9462173","DOIUrl":"https://doi.org/10.1109/ISTAS50296.2020.9462173","url":null,"abstract":"The accuracy of automatic face recognition has increased significantly over the last decade. Technology developers actively try to improve their tools and algorithms; for this to occur, there is a need for high-quality datasets with a large number of images to test and develop new techniques. Online social networks provide a vast digital media resource, given the volume of traffic that goes through its infrastructure. The content within it varies but is predominately flooded by images. In this era where selfies are the norm, we examine a collection method employed to harvest face data from the subject’s images via the web. We then show how it can be processed and organized so that it is useful for biometric applications. In addition, this experiment demonstrates how restrictions put in place by social media platforms are inadequate in the protection of their user’s data.","PeriodicalId":196560,"journal":{"name":"2020 IEEE International Symposium on Technology and Society (ISTAS)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133418159","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 : 2020-11-12DOI: 10.1109/ISTAS50296.2020.9462235
H. Fan
Taiwan is known for its effective responses to COVID-19, with only 799 confirmed cases by the end of 2020. Based on the previous research, this article identifies three major technical approaches used in Taiwan to prevent the community spread of COVID-19: (1) Digital fence and entry quarantine system to track close contacts and force 14 days of in-home quarantine; (2) Evolving face mask distribution policy and system to ensure fair allocation of the limited face mask resources; and (3) Open-source software co-developed by the government and tech community to share real-time COVID-19 related information and conduct location history based contact tracing. The combat against COVID-19 in Taiwan is a success in digital governance, with great synergy between the government and every citizen.
{"title":"Taiwan’s Ability to Reduce the Transmission of COVID-19: A Success Story","authors":"H. Fan","doi":"10.1109/ISTAS50296.2020.9462235","DOIUrl":"https://doi.org/10.1109/ISTAS50296.2020.9462235","url":null,"abstract":"Taiwan is known for its effective responses to COVID-19, with only 799 confirmed cases by the end of 2020. Based on the previous research, this article identifies three major technical approaches used in Taiwan to prevent the community spread of COVID-19: (1) Digital fence and entry quarantine system to track close contacts and force 14 days of in-home quarantine; (2) Evolving face mask distribution policy and system to ensure fair allocation of the limited face mask resources; and (3) Open-source software co-developed by the government and tech community to share real-time COVID-19 related information and conduct location history based contact tracing. The combat against COVID-19 in Taiwan is a success in digital governance, with great synergy between the government and every citizen.","PeriodicalId":196560,"journal":{"name":"2020 IEEE International Symposium on Technology and Society (ISTAS)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114606014","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 : 2020-11-12DOI: 10.1109/ISTAS50296.2020.9462238
J. Najjar
There is a considerable amount of literature on domestic violence and news framing. Domestic violence in Australia is a widespread issue, with some severe cases resulting in homicide. The current study focuses on the media’s newspaper reporting of a recent murder-suicide of Hannah Clarke and her three children in February 2020. The data collection spanned over a three-week period from 19 th February 2020 to 9 th March 2020. The keyword “Hannah Clarke” was entered into the Factiva database and newspaper samples were randomly selected from various publications. The analysis shows that the reporting during this timeframe often omits social context, sensationalises and shifts the blame to the victim. The perpetrator was viewed as a glorified persona. The findings of the paper show that the role of the media when it comes to domestic violence reporting is amplified for a certain period and then ignored once the news cycle changes as shown in the Hannah Clarke murder-suicide case. It is crucial for the news media to rely on the appropriate stakeholders to push for reform and change in Australia.
{"title":"An analysis of the Australian News Coverage of the Hannah Clarke and Family Suicide-Murder in February 2020","authors":"J. Najjar","doi":"10.1109/ISTAS50296.2020.9462238","DOIUrl":"https://doi.org/10.1109/ISTAS50296.2020.9462238","url":null,"abstract":"There is a considerable amount of literature on domestic violence and news framing. Domestic violence in Australia is a widespread issue, with some severe cases resulting in homicide. The current study focuses on the media’s newspaper reporting of a recent murder-suicide of Hannah Clarke and her three children in February 2020. The data collection spanned over a three-week period from 19 th February 2020 to 9 th March 2020. The keyword “Hannah Clarke” was entered into the Factiva database and newspaper samples were randomly selected from various publications. The analysis shows that the reporting during this timeframe often omits social context, sensationalises and shifts the blame to the victim. The perpetrator was viewed as a glorified persona. The findings of the paper show that the role of the media when it comes to domestic violence reporting is amplified for a certain period and then ignored once the news cycle changes as shown in the Hannah Clarke murder-suicide case. It is crucial for the news media to rely on the appropriate stakeholders to push for reform and change in Australia.","PeriodicalId":196560,"journal":{"name":"2020 IEEE International Symposium on Technology and Society (ISTAS)","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128529571","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 : 2020-11-12DOI: 10.1109/ISTAS50296.2020.9462185
Imani N. Sherman, Jasmine Bowers, Liz-Laure Laborde, J. Gilbert, Jaime Ruiz, Patrick Traynor
Robocalls interrupt daily activity, cause financial harm, and influence users to ignore calls from unfamiliar numbers. Service providers and developers have created Anti-Robocall applications to attempt to restore trust in the phone and decrease the impact of robocalls on daily life. However, whether or not such applications meet accessibility standards and are therefore usable by vulnerable populations, particularly the visually impaired, is unknown. In this paper, we use a combination of the W3C’s Mobile Web Content Accessibility Guidelines (MWCAG) and interviews with 11 visually impaired users to establish accessibility metrics for Anti-Robocall applications. We then evaluate 56 Anti-Robocall applications for Android to assess whether they met the needs of the visually impaired community. Our results indicate that 100% of the applications fail to meet all basic accessibility guidelines including minimum color contrast, button labels (to assist screen readers), and automatic audible alerts. As a result, we show that despite the availability of a variety of tools to help developers identify and correct these problems, this important class of applications does not meet basic accessibility requirements. We conclude by suggesting viable paths forward that ensure inclusion and protection for the visually impaired community.
{"title":"Truly Visual Caller ID? An Analysis of Anti-Robocall Applications and their Accessibility to Visually Impaired Users","authors":"Imani N. Sherman, Jasmine Bowers, Liz-Laure Laborde, J. Gilbert, Jaime Ruiz, Patrick Traynor","doi":"10.1109/ISTAS50296.2020.9462185","DOIUrl":"https://doi.org/10.1109/ISTAS50296.2020.9462185","url":null,"abstract":"Robocalls interrupt daily activity, cause financial harm, and influence users to ignore calls from unfamiliar numbers. Service providers and developers have created Anti-Robocall applications to attempt to restore trust in the phone and decrease the impact of robocalls on daily life. However, whether or not such applications meet accessibility standards and are therefore usable by vulnerable populations, particularly the visually impaired, is unknown. In this paper, we use a combination of the W3C’s Mobile Web Content Accessibility Guidelines (MWCAG) and interviews with 11 visually impaired users to establish accessibility metrics for Anti-Robocall applications. We then evaluate 56 Anti-Robocall applications for Android to assess whether they met the needs of the visually impaired community. Our results indicate that 100% of the applications fail to meet all basic accessibility guidelines including minimum color contrast, button labels (to assist screen readers), and automatic audible alerts. As a result, we show that despite the availability of a variety of tools to help developers identify and correct these problems, this important class of applications does not meet basic accessibility requirements. We conclude by suggesting viable paths forward that ensure inclusion and protection for the visually impaired community.","PeriodicalId":196560,"journal":{"name":"2020 IEEE International Symposium on Technology and Society (ISTAS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132787126","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 : 2020-11-12DOI: 10.1109/ISTAS50296.2020.9462231
Salah Hamdoun
The informal economy became the new frontier for technology firms. The monetization of the activities in the informal economy has resulted in the formation of global enterprises such as Uber, Careem, Bolt, and Gojek. This paper discusses the social outcomes of data-driven platform technology in the informal economy through a case study that describes the activities of Gojek, an Indonesian online motor taxi platform. The unique role online service platforms play in marginalized communities, the speed at which platforms have expanded globally, and the influence on the debate around labor laws make it well worth the time to assess how this specific technology corresponds with human development. In particular, the impact platforms have on the level of social inclusion. The transformations platforms have made show the desire to solve broken systems in society through technology. This also explains how Gojek transformed from an online gig work mediator to a digital banking system, assisting financial inclusion efforts for unbanked people. This paper concludes that social inclusion can indeed only be achieved when the split in society is addressed between the informal and the formal economy–for example, facilitating corporations to create financial access for people at the periphery without acknowledging legislation that got them there in the first-place anchors the inequality even further.
{"title":"Technology and the Formalization of the Informal Economy","authors":"Salah Hamdoun","doi":"10.1109/ISTAS50296.2020.9462231","DOIUrl":"https://doi.org/10.1109/ISTAS50296.2020.9462231","url":null,"abstract":"The informal economy became the new frontier for technology firms. The monetization of the activities in the informal economy has resulted in the formation of global enterprises such as Uber, Careem, Bolt, and Gojek. This paper discusses the social outcomes of data-driven platform technology in the informal economy through a case study that describes the activities of Gojek, an Indonesian online motor taxi platform. The unique role online service platforms play in marginalized communities, the speed at which platforms have expanded globally, and the influence on the debate around labor laws make it well worth the time to assess how this specific technology corresponds with human development. In particular, the impact platforms have on the level of social inclusion. The transformations platforms have made show the desire to solve broken systems in society through technology. This also explains how Gojek transformed from an online gig work mediator to a digital banking system, assisting financial inclusion efforts for unbanked people. This paper concludes that social inclusion can indeed only be achieved when the split in society is addressed between the informal and the formal economy–for example, facilitating corporations to create financial access for people at the periphery without acknowledging legislation that got them there in the first-place anchors the inequality even further.","PeriodicalId":196560,"journal":{"name":"2020 IEEE International Symposium on Technology and Society (ISTAS)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125863204","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 : 2020-11-12DOI: 10.1109/ISTAS50296.2020.9462184
Brianna Richardson, Diandra Prioleau, Kiana Alikhademi, J. Gilbert
Artificial Intelligence (Al) and Machine Learning (ML) have been influential across many industries. Companies, nearly every day, are finding new means and methods of benefiting from these technologies. Despite this prevalence, individuals still report a significant level of distrust towards Al and its applications. To rehabilitate the relationship between Al and its consumers, developers must expose these new technologies to consumers and include them in the process of critiquing and assisting in the improvement of such technologies. The goal of this work is to introduce a new initiative towards an Ethical Al society. Participants are given the opportunity to learn about modem applications of Al and the space to reflect on these technologies. It is found that across the exampled technologies, differences of opinions are significantly correlated to specific dispositional identities, such as gender and computing experience. Furthermore, trends of trust across the general public are compared to that of students enrolled in a computer science course. These results depict vastly differing opinions across technologies which validate the need for public exposure and critique. This work highlights the need for researchers and developers to investigate opinions across dispositional identities, including race, gender, socioeconomic status, etc. The study has shown to be beneficial, with over 70% of individuals reporting having learned about a new application of Al.
{"title":"Public Accountability: Understanding Sentiments towards Artificial Intelligence across Dispositional Identities","authors":"Brianna Richardson, Diandra Prioleau, Kiana Alikhademi, J. Gilbert","doi":"10.1109/ISTAS50296.2020.9462184","DOIUrl":"https://doi.org/10.1109/ISTAS50296.2020.9462184","url":null,"abstract":"Artificial Intelligence (Al) and Machine Learning (ML) have been influential across many industries. Companies, nearly every day, are finding new means and methods of benefiting from these technologies. Despite this prevalence, individuals still report a significant level of distrust towards Al and its applications. To rehabilitate the relationship between Al and its consumers, developers must expose these new technologies to consumers and include them in the process of critiquing and assisting in the improvement of such technologies. The goal of this work is to introduce a new initiative towards an Ethical Al society. Participants are given the opportunity to learn about modem applications of Al and the space to reflect on these technologies. It is found that across the exampled technologies, differences of opinions are significantly correlated to specific dispositional identities, such as gender and computing experience. Furthermore, trends of trust across the general public are compared to that of students enrolled in a computer science course. These results depict vastly differing opinions across technologies which validate the need for public exposure and critique. This work highlights the need for researchers and developers to investigate opinions across dispositional identities, including race, gender, socioeconomic status, etc. The study has shown to be beneficial, with over 70% of individuals reporting having learned about a new application of Al.","PeriodicalId":196560,"journal":{"name":"2020 IEEE International Symposium on Technology and Society (ISTAS)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124182548","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 : 2020-11-12DOI: 10.1109/ISTAS50296.2020.9462192
Diandra Prioleau, Priya Dames, Kiana Alikhademi, J. Gilbert
Rural communities are more dependent on transportation than their urban peers. Transportation within rural areas is necessary to access food, healthcare, educational opportunities, and employment, especially since rural residents have longer distances to travel to access them. Therefore, the availability of efficient and affordable transportation can lead to economic growth in rural areas and ensure that people can obtain the services they need. Autonomous Vehicles (AV) can improve accessibility and mobility in these communities. However, research that discusses autonomous vehicles' impact mostly focuses on urban transportation with limited focus on rural areas. In this paper, the barriers to adopting autonomous vehicles in rural areas are discussed by examining the current struggles of rural communities concerning finance, transportation infrastructure, policy, and demographics. First, we suggest that companies that design and create autonomous vehicles investigate efficient ways to ensure they are affordable to rural communities. Additionally, when using AVs for ridesharing, it must be ensured that rural communities have the financial means to use them. Second, companies must be attentive to these vehicles' accessibility to ensure that all individuals, including disabled and older adults, can use them without difficulty in rural communities. To maximize these vehicles' accessibility, they need to embrace the community in the design and policy-making processes. Lastly, any technologies used in these vehicles, such as facial recognition systems, need to address the potential of bias against minorities in rural communities to avoid the future disparate impacts and injustice toward particular groups of people in the society.
{"title":"Barriers to the Adoption of Autonomous Vehicles in Rural Communities","authors":"Diandra Prioleau, Priya Dames, Kiana Alikhademi, J. Gilbert","doi":"10.1109/ISTAS50296.2020.9462192","DOIUrl":"https://doi.org/10.1109/ISTAS50296.2020.9462192","url":null,"abstract":"Rural communities are more dependent on transportation than their urban peers. Transportation within rural areas is necessary to access food, healthcare, educational opportunities, and employment, especially since rural residents have longer distances to travel to access them. Therefore, the availability of efficient and affordable transportation can lead to economic growth in rural areas and ensure that people can obtain the services they need. Autonomous Vehicles (AV) can improve accessibility and mobility in these communities. However, research that discusses autonomous vehicles' impact mostly focuses on urban transportation with limited focus on rural areas. In this paper, the barriers to adopting autonomous vehicles in rural areas are discussed by examining the current struggles of rural communities concerning finance, transportation infrastructure, policy, and demographics. First, we suggest that companies that design and create autonomous vehicles investigate efficient ways to ensure they are affordable to rural communities. Additionally, when using AVs for ridesharing, it must be ensured that rural communities have the financial means to use them. Second, companies must be attentive to these vehicles' accessibility to ensure that all individuals, including disabled and older adults, can use them without difficulty in rural communities. To maximize these vehicles' accessibility, they need to embrace the community in the design and policy-making processes. Lastly, any technologies used in these vehicles, such as facial recognition systems, need to address the potential of bias against minorities in rural communities to avoid the future disparate impacts and injustice toward particular groups of people in the society.","PeriodicalId":196560,"journal":{"name":"2020 IEEE International Symposium on Technology and Society (ISTAS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130250577","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 : 2020-11-12DOI: 10.1109/ISTAS50296.2020.9462221
Mohamad Soubra
Dementia is a term that describes a variety of chronic diseases that target the elderly through their aging process. It affects the elderly’s skills and abilities as most importantly, it affects their orientation, navigation and wayfinding skills making them, in a worst-case-scenario, lost in finding their way. Accordingly, and to provide proper healthcare services for the elderly, their families endure additional financial burdens and thus, Location Based Services (LBS)-enabled systems come to play. The main aim of this literature review is to shed light on the capabilities of those systems encouraging both the elderly and their families to build more trust in utilizing such products. Other aims would be to help researchers and manufacturers alike to endorse current mechanisms that would make their state-of-play systems more secure and private. The literature review utilized a qualitative approach in which, the knowledge attained, from peer-reviewed papers and websites reflecting the last decade, was analyzed and presented to derive comparisons and discussions that resulted to a final conclusion.
{"title":"LBS and Dementia: An Insight Pertaining Their Security and Privacy","authors":"Mohamad Soubra","doi":"10.1109/ISTAS50296.2020.9462221","DOIUrl":"https://doi.org/10.1109/ISTAS50296.2020.9462221","url":null,"abstract":"Dementia is a term that describes a variety of chronic diseases that target the elderly through their aging process. It affects the elderly’s skills and abilities as most importantly, it affects their orientation, navigation and wayfinding skills making them, in a worst-case-scenario, lost in finding their way. Accordingly, and to provide proper healthcare services for the elderly, their families endure additional financial burdens and thus, Location Based Services (LBS)-enabled systems come to play. The main aim of this literature review is to shed light on the capabilities of those systems encouraging both the elderly and their families to build more trust in utilizing such products. Other aims would be to help researchers and manufacturers alike to endorse current mechanisms that would make their state-of-play systems more secure and private. The literature review utilized a qualitative approach in which, the knowledge attained, from peer-reviewed papers and websites reflecting the last decade, was analyzed and presented to derive comparisons and discussions that resulted to a final conclusion.","PeriodicalId":196560,"journal":{"name":"2020 IEEE International Symposium on Technology and Society (ISTAS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130287764","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 : 2020-11-12DOI: 10.1109/ISTAS50296.2020.9462171
Guillermo Lopez-Cardalda, E. Ortiz-Rivera, Melvin Lugaro-Alvarez
This paper discusses important metrics that should be considered for determining critical loads and locations for energy storage. The evaluation process for these loads is to rank them as critical, essential, discretionary, luxury and disposable. This paper also describes the evaluation criteria for location selection of energy storage systems. The equation presented in this paper determines which loads should be considered to have a backup energy storage system, so in case of a blackout event, the critical and important loads/locations can recover faster. The decision and criteria are based on the experience of Puerto Rico after hurricane Maria. These criteria can be changed or adapted for different regions around the world for different loads that need energy storage systems.
{"title":"Evaluation and Load Selection using Energy Storage System Priority Index (ESSPI)","authors":"Guillermo Lopez-Cardalda, E. Ortiz-Rivera, Melvin Lugaro-Alvarez","doi":"10.1109/ISTAS50296.2020.9462171","DOIUrl":"https://doi.org/10.1109/ISTAS50296.2020.9462171","url":null,"abstract":"This paper discusses important metrics that should be considered for determining critical loads and locations for energy storage. The evaluation process for these loads is to rank them as critical, essential, discretionary, luxury and disposable. This paper also describes the evaluation criteria for location selection of energy storage systems. The equation presented in this paper determines which loads should be considered to have a backup energy storage system, so in case of a blackout event, the critical and important loads/locations can recover faster. The decision and criteria are based on the experience of Puerto Rico after hurricane Maria. These criteria can be changed or adapted for different regions around the world for different loads that need energy storage systems.","PeriodicalId":196560,"journal":{"name":"2020 IEEE International Symposium on Technology and Society (ISTAS)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126452302","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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