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  • image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
    Authors: Sarapura, Silvia; Fontecha, Margarita; Potter, Charlotte; Zink, Regan; +1 Authors

    Temporary Foreign Agricultural Workers (TFAWs) are critical sources of labour for Canada’s agricultural sector. However, TFAWs experience complex vulnerabilities as a result of structural inequalities and discrimination within agricultural streams of Canada’s Temporary Foreign Worker Program (TFWP). The multiple, diverse, and intersecting social identities of TFAWs (e.g., gender, age, race, nationality, sex, language, and socio-economic status) may compound to exacerbate or lessen vulnerabilities, including gender-based violence (GBV) and discrimination. Through a scoping review of academic and grey literature, this research contributes to conceptual and practical knowledge regarding GBV in Canada’s agricultural TFWP in Ontario, Quebec and British Columbia. Our search strategy returned 1,273 grey and academic articles, 128 of which were selected for full-text review. Of those, 62 sources met our criteria for data extraction and were reviewed using a Gender-Transformative Approach and a Systems Thinking framework to examine how structures and institutions (formal and informal) create and exacerbate inequalities between TFAWs while influencing the formation of systems’ structures which either promote or negate GBV. [Invisible and precarious: A scoping review of gender-based violence in agricultural streams of Canada’s Temporary Foreign Worker Program] is co-funded by the Social Sciences and Humanities Research Council and Women and Gender Equality Canada. [Invisible et précaire : Un examen de la portée de la violence fondée sur le sexe dans les volets agricoles du Programme des travailleurs étrangers temporaires du Canada] est cofinancé par le Conseil de recherches en sciences humaines et Femmes et Égalité des genres Canada. 2023-09-30

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    Authors: Pattem, Poojitha;

    This paper presents the result of a detailed survey on the fifth-generation (5G) cellular network architecture, massive multiple-input multiple-output technologies, D2D communication, network slicing, and cloud technologies on 5G radio access networks and software-defined networks. Also included in the paper are some of the vulnerabilities like impersonation, DDOS, malware, man-in-the-middle, and many more, causing security and privacy issues. (As cited in abstract.)

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    Authors: Sharma, Sparsh;

    The main objective of this project is to research on security vulnerabilities of smart water meter networks and choose the best communication technologies for SMW by comparing the existing technologies like LoRA and NB-IoT. Furthermore, we studied how massive IoT will be built on top of NB-IoT and one use case of massive IoT. In the end, we discussed the security vulnerabilities of Smart water meters and covers the potential vulnerabilities associated with various attack surfaces in the smart meter, their security and threat consequences, and lastly, it suggests appropriate security controls and countermeasures. (As cited in abstract.)

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    Authors: Midudula, Rashi;

    Abstract: In recent years, the number of IoT devices has increased exponentially, evolving in virtually every domain, making businesses smarter and more efficient. This project will oversee various applications and use cases of IoT in enterprises and its evolution by aspects of Artificial Intelligence. Also, we explore the challenges of implementing IoT in an enterprise network. IoT is a concept where several sensors are connected to the internet with free data sharing and creating a mesh network so that applications get reverse benefits in almost every aspect of our lives. This IoT is currently trending in the IT industry but comes with several challenges; hence we need to plan the IoT applications and solutions carefully. Also, we look into how AI is catering for the needs of enterprises with IoT integrations.

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    Authors: Khalsa, Sukhpreet Kaur;

    The research report mainly focuses on evolved security threats and solutions for healthcare IoT (IoMT), where robotic or remote surgery has been selected for deep study. In the research report, IoT communication protocols used in applications of IoMT have been classified, and the main characteristics of IoT communication protocols have been evaluated, which are used at the perception, network, and application layer of medical devices. (As cited in abstract.)

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    Authors: Dhayanidhi, Glory;

    Internet of Things (IoT) has become one of the progressive innovations and inviting space of interest for the research world and financially captivating for the business world. Integrating different devices and associating devices with humans requires artificial intelligence/ machine learning (AI/ML) to break down the data stored in the cloud framework. These IoT devices utilize their unique identifiers and the embedded sensor with every device to impart to one another and trade data among them using the web and cloud-based network infrastructure. (As cited in abstract.)

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    Authors: Lao, Shing Kit;

    Internet of Things (IoT) is the interconnection of physical devices, which are equipped with sensor to collect data, and management platforms to perform analysis on the data collected. IoT helps people to make decision or further control on other devices automatically. Industrial Internet of Things (IIoT) is the application of IoT in various industries such as manufacturing, energy plant or water supply. (As cited in abstract.)

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    Authors: Makiabadi, Maryam Karimi;

    With the advent of IoT and next-generation internet which contains a multitude of geographically distributed devices (approx. 50 billion devices by 2020 [1]) continuously generating data streams, the centralized cloud computing structure is becoming inefficient for processing and analyzing an extraordinary volume of data collected from IoT devices. Therefore, we need new data processing architectures that can handle the challenges of heterogeneity, distribution, latency, and bandwidth along the IoT-cloud continuum. Fog computing [2] emerged as a new computing paradigm that changed the distributed computing landscape by extending the computing power and data analytics to the proximity of users from the core to the edge of the network. It is potentially built with various components and resource types distributed across the IoT-Fog-Cloud continuum. (As cited in abstract.)

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    Authors: G A Oldenborger; B Faucher; A M LeBlanc;
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    Authors: Saini, Priya;

    In recent years, the popularity of IoT based smart building technology has been rising at an unprecedented rate. It is estimated that the IoT based smart buildings market will grow over USD 31 billion by the year 2022 [42]. IoT devices are building blocks of smart buildings, hence it is essential to know about the applications, benefits, advantages, and disadvantages before designing or implementing a layout to determine the best-case scenario as it is a very broad technology. (As cited in abstract.) *Publication date not found.

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    Authors: Sarapura, Silvia; Fontecha, Margarita; Potter, Charlotte; Zink, Regan; +1 Authors

    Temporary Foreign Agricultural Workers (TFAWs) are critical sources of labour for Canada’s agricultural sector. However, TFAWs experience complex vulnerabilities as a result of structural inequalities and discrimination within agricultural streams of Canada’s Temporary Foreign Worker Program (TFWP). The multiple, diverse, and intersecting social identities of TFAWs (e.g., gender, age, race, nationality, sex, language, and socio-economic status) may compound to exacerbate or lessen vulnerabilities, including gender-based violence (GBV) and discrimination. Through a scoping review of academic and grey literature, this research contributes to conceptual and practical knowledge regarding GBV in Canada’s agricultural TFWP in Ontario, Quebec and British Columbia. Our search strategy returned 1,273 grey and academic articles, 128 of which were selected for full-text review. Of those, 62 sources met our criteria for data extraction and were reviewed using a Gender-Transformative Approach and a Systems Thinking framework to examine how structures and institutions (formal and informal) create and exacerbate inequalities between TFAWs while influencing the formation of systems’ structures which either promote or negate GBV. [Invisible and precarious: A scoping review of gender-based violence in agricultural streams of Canada’s Temporary Foreign Worker Program] is co-funded by the Social Sciences and Humanities Research Council and Women and Gender Equality Canada. [Invisible et précaire : Un examen de la portée de la violence fondée sur le sexe dans les volets agricoles du Programme des travailleurs étrangers temporaires du Canada] est cofinancé par le Conseil de recherches en sciences humaines et Femmes et Égalité des genres Canada. 2023-09-30

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    Authors: Pattem, Poojitha;

    This paper presents the result of a detailed survey on the fifth-generation (5G) cellular network architecture, massive multiple-input multiple-output technologies, D2D communication, network slicing, and cloud technologies on 5G radio access networks and software-defined networks. Also included in the paper are some of the vulnerabilities like impersonation, DDOS, malware, man-in-the-middle, and many more, causing security and privacy issues. (As cited in abstract.)

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    Authors: Sharma, Sparsh;

    The main objective of this project is to research on security vulnerabilities of smart water meter networks and choose the best communication technologies for SMW by comparing the existing technologies like LoRA and NB-IoT. Furthermore, we studied how massive IoT will be built on top of NB-IoT and one use case of massive IoT. In the end, we discussed the security vulnerabilities of Smart water meters and covers the potential vulnerabilities associated with various attack surfaces in the smart meter, their security and threat consequences, and lastly, it suggests appropriate security controls and countermeasures. (As cited in abstract.)

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    Authors: Midudula, Rashi;

    Abstract: In recent years, the number of IoT devices has increased exponentially, evolving in virtually every domain, making businesses smarter and more efficient. This project will oversee various applications and use cases of IoT in enterprises and its evolution by aspects of Artificial Intelligence. Also, we explore the challenges of implementing IoT in an enterprise network. IoT is a concept where several sensors are connected to the internet with free data sharing and creating a mesh network so that applications get reverse benefits in almost every aspect of our lives. This IoT is currently trending in the IT industry but comes with several challenges; hence we need to plan the IoT applications and solutions carefully. Also, we look into how AI is catering for the needs of enterprises with IoT integrations.

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    Authors: Khalsa, Sukhpreet Kaur;

    The research report mainly focuses on evolved security threats and solutions for healthcare IoT (IoMT), where robotic or remote surgery has been selected for deep study. In the research report, IoT communication protocols used in applications of IoMT have been classified, and the main characteristics of IoT communication protocols have been evaluated, which are used at the perception, network, and application layer of medical devices. (As cited in abstract.)

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    Authors: Dhayanidhi, Glory;

    Internet of Things (IoT) has become one of the progressive innovations and inviting space of interest for the research world and financially captivating for the business world. Integrating different devices and associating devices with humans requires artificial intelligence/ machine learning (AI/ML) to break down the data stored in the cloud framework. These IoT devices utilize their unique identifiers and the embedded sensor with every device to impart to one another and trade data among them using the web and cloud-based network infrastructure. (As cited in abstract.)

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    Authors: Lao, Shing Kit;

    Internet of Things (IoT) is the interconnection of physical devices, which are equipped with sensor to collect data, and management platforms to perform analysis on the data collected. IoT helps people to make decision or further control on other devices automatically. Industrial Internet of Things (IIoT) is the application of IoT in various industries such as manufacturing, energy plant or water supply. (As cited in abstract.)

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    Authors: Makiabadi, Maryam Karimi;

    With the advent of IoT and next-generation internet which contains a multitude of geographically distributed devices (approx. 50 billion devices by 2020 [1]) continuously generating data streams, the centralized cloud computing structure is becoming inefficient for processing and analyzing an extraordinary volume of data collected from IoT devices. Therefore, we need new data processing architectures that can handle the challenges of heterogeneity, distribution, latency, and bandwidth along the IoT-cloud continuum. Fog computing [2] emerged as a new computing paradigm that changed the distributed computing landscape by extending the computing power and data analytics to the proximity of users from the core to the edge of the network. It is potentially built with various components and resource types distributed across the IoT-Fog-Cloud continuum. (As cited in abstract.)

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    Authors: G A Oldenborger; B Faucher; A M LeBlanc;
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    Authors: Saini, Priya;

    In recent years, the popularity of IoT based smart building technology has been rising at an unprecedented rate. It is estimated that the IoT based smart buildings market will grow over USD 31 billion by the year 2022 [42]. IoT devices are building blocks of smart buildings, hence it is essential to know about the applications, benefits, advantages, and disadvantages before designing or implementing a layout to determine the best-case scenario as it is a very broad technology. (As cited in abstract.) *Publication date not found.

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