Pub Date : 2022-06-01DOI: 10.1109/COMPSAC54236.2022.00252
Hideaki Goto
In-Flight Wi-Fi today is suffering from various problems regarding security and usability. One of the obstacles is the disruption of the backhaul network for internet connection. Introducing a secure connection means like WPA2/WPA3 En-terprise, preferably combined with roaming capability, can solve most security problems and some usability issues. However, user authentication in the current roaming systems depends on the servers on the ground and suffers from network disruption. Since In-Flight Wi-Fi is becoming indispensable not only for internet connection but also for various in-flight services, user devices need to stay connected to the access points during the entire flight. A disruption-tolerant Public Wi-Fi system was proposed earlier to realize secure user authentication and to maintain local network use in temporary isolated areas affected by natural disasters. Based on this system, we have developed a user authentication system with roaming for continuous and secure In-Flight Wi-Fi. This paper provides an overview of prospective use cases and challenges, and proposes a certificate-based roaming system.
{"title":"Disruption-tolerant Local Authentication Method for Continuous and Secure In-Flight Wireless LAN","authors":"Hideaki Goto","doi":"10.1109/COMPSAC54236.2022.00252","DOIUrl":"https://doi.org/10.1109/COMPSAC54236.2022.00252","url":null,"abstract":"In-Flight Wi-Fi today is suffering from various problems regarding security and usability. One of the obstacles is the disruption of the backhaul network for internet connection. Introducing a secure connection means like WPA2/WPA3 En-terprise, preferably combined with roaming capability, can solve most security problems and some usability issues. However, user authentication in the current roaming systems depends on the servers on the ground and suffers from network disruption. Since In-Flight Wi-Fi is becoming indispensable not only for internet connection but also for various in-flight services, user devices need to stay connected to the access points during the entire flight. A disruption-tolerant Public Wi-Fi system was proposed earlier to realize secure user authentication and to maintain local network use in temporary isolated areas affected by natural disasters. Based on this system, we have developed a user authentication system with roaming for continuous and secure In-Flight Wi-Fi. This paper provides an overview of prospective use cases and challenges, and proposes a certificate-based roaming system.","PeriodicalId":330838,"journal":{"name":"2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125412123","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 : 2022-06-01DOI: 10.1109/COMPSAC54236.2022.00071
A. Saifan, N. Al Yateem, J. Dias, F. Ahmed, M. Subu, S. Rahman, A. A. Al Marzouqi, Sheikh Iqbal Ahamed
Medical technology advances quickly, and new machines are introduced into the industry on a regular basis. The impact of technology on healthcare providers' attitudes toward family members in critical care settings is investigated in this paper. Given the modern technology environment of critical care, multiple studies have indicated that many healthcare personnel place a greater emphasis on technology than on contact with patients or family members. Because of this emphasis on technology, critical care specialists may overlook other parts of care, such as family-centered care. This could also explain why critical care workers are averse to allowing family members to participate in operations like CPR.
{"title":"Technology as a Distracter for Providing Humanistic Care in Technology Dependent Care Units","authors":"A. Saifan, N. Al Yateem, J. Dias, F. Ahmed, M. Subu, S. Rahman, A. A. Al Marzouqi, Sheikh Iqbal Ahamed","doi":"10.1109/COMPSAC54236.2022.00071","DOIUrl":"https://doi.org/10.1109/COMPSAC54236.2022.00071","url":null,"abstract":"Medical technology advances quickly, and new machines are introduced into the industry on a regular basis. The impact of technology on healthcare providers' attitudes toward family members in critical care settings is investigated in this paper. Given the modern technology environment of critical care, multiple studies have indicated that many healthcare personnel place a greater emphasis on technology than on contact with patients or family members. Because of this emphasis on technology, critical care specialists may overlook other parts of care, such as family-centered care. This could also explain why critical care workers are averse to allowing family members to participate in operations like CPR.","PeriodicalId":330838,"journal":{"name":"2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)","volume":"46 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125699973","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 : 2022-06-01DOI: 10.1109/COMPSAC54236.2022.00046
Yizhe You, Zhengwei Jiang, Kai Zhang, Jun Jiang, Xuren Wang, Zheyu Zhang, Shirui Wang, Huamin Feng
Obtaining the latest Threat Intelligence (TI) via Twitter has become one of the most important methods for defenders to catch up with emerging cyber threats. Existing TI Twitter classification works mainly based on supervised learning methods. Such approaches require large amounts of annotated data and are difficult to be transferred to other TI Twitter classification tasks. This paper proposes a prompt-based method for classifying TI on Twitter, named TI-Prompt. TI-Prompt lever-ages the prompt-tuning method with two templates in different TI Twitter classification tasks. TI-Prompt also uses a semantic similarity-based approach to automatically enrich the prompt verbalizer without expert knowledge and a verbalizer refinement method to calibrate the verbalizer based on the training data. We evaluate TI-Prompt with binary and multi-classification tasks on two Twitter Threat Intelligence datasets. Evaluation results show that the proposed TI-Prompt improves 5-10% over the best performance of previous supervised learning methods under the few-shot settings. Compared to the general prompt-tuning methods, the proposed prompt-tuning templates can also improve the classification performance by 2–5%. Meanwhile, the proposed verbalizer enrichment method and refinement method improve classification accuracy by 1–4% compared with the general single-word verbalizer prompt method. Therefore, TI-Prompt can be extended to other Threat Intelligence classification tasks without requiring large amounts of training data, significantly reducing the annotation cost.
{"title":"TI-Prompt: Towards a Prompt Tuning Method for Few-shot Threat Intelligence Twitter Classification*","authors":"Yizhe You, Zhengwei Jiang, Kai Zhang, Jun Jiang, Xuren Wang, Zheyu Zhang, Shirui Wang, Huamin Feng","doi":"10.1109/COMPSAC54236.2022.00046","DOIUrl":"https://doi.org/10.1109/COMPSAC54236.2022.00046","url":null,"abstract":"Obtaining the latest Threat Intelligence (TI) via Twitter has become one of the most important methods for defenders to catch up with emerging cyber threats. Existing TI Twitter classification works mainly based on supervised learning methods. Such approaches require large amounts of annotated data and are difficult to be transferred to other TI Twitter classification tasks. This paper proposes a prompt-based method for classifying TI on Twitter, named TI-Prompt. TI-Prompt lever-ages the prompt-tuning method with two templates in different TI Twitter classification tasks. TI-Prompt also uses a semantic similarity-based approach to automatically enrich the prompt verbalizer without expert knowledge and a verbalizer refinement method to calibrate the verbalizer based on the training data. We evaluate TI-Prompt with binary and multi-classification tasks on two Twitter Threat Intelligence datasets. Evaluation results show that the proposed TI-Prompt improves 5-10% over the best performance of previous supervised learning methods under the few-shot settings. Compared to the general prompt-tuning methods, the proposed prompt-tuning templates can also improve the classification performance by 2–5%. Meanwhile, the proposed verbalizer enrichment method and refinement method improve classification accuracy by 1–4% compared with the general single-word verbalizer prompt method. Therefore, TI-Prompt can be extended to other Threat Intelligence classification tasks without requiring large amounts of training data, significantly reducing the annotation cost.","PeriodicalId":330838,"journal":{"name":"2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)","volume":"17 7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125731738","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 flourish of web-based service has led to an increasing number of user requirements that can be satisfied by an increasing variety of ways. To study how services can better satisfy user requirements, a research area called service computing was born. An obvious fact is that in an uncertain world, most services evolve constantly in order to adapt to various types of internal and external changes in a timely manner. However, traditional services computing techniques do not systematically consider the significant implications of service changes and many widely-accepted models/approaches do not work well in uncertain world. Sensing various types of service changes is of great significance to the practicability and rationality of services computing research. In this paper, a new research problem External Service Sensing (ESS) is defined to cope with various changes in services, and a research framework of ESS is presented to elaborate the scope and boundary of ESS. This framework is composed of four orthogonal dimensions: sensing objects, sensing contents, sensing channels, and sensing techniques. Each concrete ESS problem is defined by combining different values in these dimensions, and existing research work related to service changes can be well adapted to this framework. Real-world case studies demonstrate the soundness of ESS and its framework. Finally, some challenges and opportunities in ESS research are listed for researchers in the services computing community. To the best of our knowledge, this is the first time to systematically define service change-related research as a standard services computing problem, and thus broadening the research scope of services computing.
{"title":"External Service Sensing in an Uncertain World","authors":"Mingyi Liu, Zhongjie Wang, Tianyu Jiang, Xiaofei Xu, Quan.Z Sheng, S. Reiff-Marganiec","doi":"10.1109/COMPSAC54236.2022.00058","DOIUrl":"https://doi.org/10.1109/COMPSAC54236.2022.00058","url":null,"abstract":"The flourish of web-based service has led to an increasing number of user requirements that can be satisfied by an increasing variety of ways. To study how services can better satisfy user requirements, a research area called service computing was born. An obvious fact is that in an uncertain world, most services evolve constantly in order to adapt to various types of internal and external changes in a timely manner. However, traditional services computing techniques do not systematically consider the significant implications of service changes and many widely-accepted models/approaches do not work well in uncertain world. Sensing various types of service changes is of great significance to the practicability and rationality of services computing research. In this paper, a new research problem External Service Sensing (ESS) is defined to cope with various changes in services, and a research framework of ESS is presented to elaborate the scope and boundary of ESS. This framework is composed of four orthogonal dimensions: sensing objects, sensing contents, sensing channels, and sensing techniques. Each concrete ESS problem is defined by combining different values in these dimensions, and existing research work related to service changes can be well adapted to this framework. Real-world case studies demonstrate the soundness of ESS and its framework. Finally, some challenges and opportunities in ESS research are listed for researchers in the services computing community. To the best of our knowledge, this is the first time to systematically define service change-related research as a standard services computing problem, and thus broadening the research scope of services computing.","PeriodicalId":330838,"journal":{"name":"2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134325887","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 : 2022-06-01DOI: 10.1109/COMPSAC54236.2022.00118
L. Bissoli, Davide Bonacina, Nicolò Dalla Riva, Florenc Demrozi, Marin Jereghi, Nicola Marchiotto, Giovanni Perbellini, Bruno Pernice, Erica Pizzocaro, G. Pravadelli, G. Recchia, Anna Lia Sacerdoti, Cristian Turetta, M. Zamboni
Obesity is a real health emergency with significant consequences for individuals and society, reducing expectations and quality of life or even the death for 2.8 million people each year. Being a chronic condition with limited pharmacological options, weight loss therapies are mainly based on dietary and cognitive-behavioral interventions delivered at specialist public and/or private centers. In order to promote and facilitate weight loss, this paper proposes a virtual coaching system to motivate and guide the patients during the therapy and to support the clinicians in monitoring its effectiveness. The system has three components: a) the clinician's web application, which is used to monitor and modify the therapy for each patient; b) a mobile application for patients, used to log nutrition intakes and physical activities, and to consult motivational documents/videos; and c) a cloud server, which collects data and implements smart monitoring features. The platform is adopted in a clinical trial involving 120 patients with obesity (Body Mass Index 2> 30) that has recently started.
{"title":"A virtual coaching platform to support therapy compliance in obesity","authors":"L. Bissoli, Davide Bonacina, Nicolò Dalla Riva, Florenc Demrozi, Marin Jereghi, Nicola Marchiotto, Giovanni Perbellini, Bruno Pernice, Erica Pizzocaro, G. Pravadelli, G. Recchia, Anna Lia Sacerdoti, Cristian Turetta, M. Zamboni","doi":"10.1109/COMPSAC54236.2022.00118","DOIUrl":"https://doi.org/10.1109/COMPSAC54236.2022.00118","url":null,"abstract":"Obesity is a real health emergency with significant consequences for individuals and society, reducing expectations and quality of life or even the death for 2.8 million people each year. Being a chronic condition with limited pharmacological options, weight loss therapies are mainly based on dietary and cognitive-behavioral interventions delivered at specialist public and/or private centers. In order to promote and facilitate weight loss, this paper proposes a virtual coaching system to motivate and guide the patients during the therapy and to support the clinicians in monitoring its effectiveness. The system has three components: a) the clinician's web application, which is used to monitor and modify the therapy for each patient; b) a mobile application for patients, used to log nutrition intakes and physical activities, and to consult motivational documents/videos; and c) a cloud server, which collects data and implements smart monitoring features. The platform is adopted in a clinical trial involving 120 patients with obesity (Body Mass Index 2> 30) that has recently started.","PeriodicalId":330838,"journal":{"name":"2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130817632","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 : 2022-06-01DOI: 10.1109/COMPSAC54236.2022.00054
L. Tong, Jake Luo, Jazzmyne Adams, K. Osinski, Xiaoyu Liu, D. Friedland
Data-driven diagnosis prediction has been adopted in clinical decision support systems. However, only a few studies have focused on non-supervised clustering approaches to building a high-quality patient data set. This study focused on a clustering-aided approach to diagnosis prediction. We leveraged clustering-aided machine learning models to predict elderly falls. First, we used patients' risk factors to build a feature set. The feature set showed a clustering-aided approach could aggregate patient factors that shared similar clinical and demographic characteristics. Subsequently, a K-means clustering approach significantly improved the data set quality. Overall, our study demonstrated that clustering approaches improve the prediction performance of elderly falls. A clustering-aided approach can be applied to similar clinical healthcare practices to potentially improve elderly care.
{"title":"A Clustering-Aided Approach for Diagnosis Prediction: A Case Study of Elderly Fall","authors":"L. Tong, Jake Luo, Jazzmyne Adams, K. Osinski, Xiaoyu Liu, D. Friedland","doi":"10.1109/COMPSAC54236.2022.00054","DOIUrl":"https://doi.org/10.1109/COMPSAC54236.2022.00054","url":null,"abstract":"Data-driven diagnosis prediction has been adopted in clinical decision support systems. However, only a few studies have focused on non-supervised clustering approaches to building a high-quality patient data set. This study focused on a clustering-aided approach to diagnosis prediction. We leveraged clustering-aided machine learning models to predict elderly falls. First, we used patients' risk factors to build a feature set. The feature set showed a clustering-aided approach could aggregate patient factors that shared similar clinical and demographic characteristics. Subsequently, a K-means clustering approach significantly improved the data set quality. Overall, our study demonstrated that clustering approaches improve the prediction performance of elderly falls. A clustering-aided approach can be applied to similar clinical healthcare practices to potentially improve elderly care.","PeriodicalId":330838,"journal":{"name":"2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131157154","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 : 2022-06-01DOI: 10.1109/COMPSAC54236.2022.00263
S. D'Antonio, Federica Uccello
With the advent of Industry 4.0, information has become a key aspect for virtually any system. Critical infrastructures haven't been excluded by this technological revolution, which has led to several advantages in terms of communication, interoperability, and scalability. On the other hand, these systems are now targeted by new attacks, previously exclusive to cybersystems. The potential of data violation ranges from the interruption of the service provided to, in the worst cases, disastrous consequences in environmental, economic and safety terms. Consequently, ensuring data reliability is an essential task to prevent these kinds of attacks. Data provenance, a kind of metadata that identifies the derivation history of a data, can provide a possible solution. This paper aims to discuss solutions for a tamper proof data provenance extended, but not limited, to the healthcare scenario. The proposed approach is based on blockchain technology to ensure protection of sensitive data, such as medical records and healthcare data.
{"title":"Data Provenance for healthcare: a blockchain-based approach","authors":"S. D'Antonio, Federica Uccello","doi":"10.1109/COMPSAC54236.2022.00263","DOIUrl":"https://doi.org/10.1109/COMPSAC54236.2022.00263","url":null,"abstract":"With the advent of Industry 4.0, information has become a key aspect for virtually any system. Critical infrastructures haven't been excluded by this technological revolution, which has led to several advantages in terms of communication, interoperability, and scalability. On the other hand, these systems are now targeted by new attacks, previously exclusive to cybersystems. The potential of data violation ranges from the interruption of the service provided to, in the worst cases, disastrous consequences in environmental, economic and safety terms. Consequently, ensuring data reliability is an essential task to prevent these kinds of attacks. Data provenance, a kind of metadata that identifies the derivation history of a data, can provide a possible solution. This paper aims to discuss solutions for a tamper proof data provenance extended, but not limited, to the healthcare scenario. The proposed approach is based on blockchain technology to ensure protection of sensitive data, such as medical records and healthcare data.","PeriodicalId":330838,"journal":{"name":"2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133020619","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 : 2022-06-01DOI: 10.1109/COMPSAC54236.2022.00245
Solomon J. Akuma, Eslam G. AbdAllah
Throughout the last few years, Radio Frequency IDentification (RFID) has constantly been a critical topic of academic research. RFID is a form of automatic identification system that uses electromagnetic waves to track, detect, identify, and manage a wide range of assets and items. Business Continuity (BC) refers to having a plan in place to deal with unexpected events so that your company can continue to operate with minimal disturbance. Recently, there has been a lot of interest in employing RFID technology which can impact BC operations positively. The paper discusses RFID, security attacks, challenges faced during BC and utilizing RFID in BC, and how to implement BC using RFID technology.
{"title":"Impacts of Radio Frequency IDentification (RFID) Technology in Business Continuity","authors":"Solomon J. Akuma, Eslam G. AbdAllah","doi":"10.1109/COMPSAC54236.2022.00245","DOIUrl":"https://doi.org/10.1109/COMPSAC54236.2022.00245","url":null,"abstract":"Throughout the last few years, Radio Frequency IDentification (RFID) has constantly been a critical topic of academic research. RFID is a form of automatic identification system that uses electromagnetic waves to track, detect, identify, and manage a wide range of assets and items. Business Continuity (BC) refers to having a plan in place to deal with unexpected events so that your company can continue to operate with minimal disturbance. Recently, there has been a lot of interest in employing RFID technology which can impact BC operations positively. The paper discusses RFID, security attacks, challenges faced during BC and utilizing RFID in BC, and how to implement BC using RFID technology.","PeriodicalId":330838,"journal":{"name":"2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132098445","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 : 2022-06-01DOI: 10.1109/COMPSAC54236.2022.00013
Ji-il Park, Minseong Choi, Seungho Han, Yeongseok Lee, J. Cho, Hyoseo Choi, Min-Yyeong Cho, Minyoung Lee, Kyung-Soo Kim
As autonomous driving research has actively pro-gressed, software for autonomous vehicles and embedded systems such as Apollo and AutoWare have also been developed, providing a complete set of self-driving modules, including perception, localization and mapping, path planning, prediction, decision making, and control. Most of the researchers currently use these software programs, but many researchers have also studied autonomous driving based on the middleware software termed robot operating system (ROS) before such software was released, especially in academia. Accordingly, we intend to develop ROS-based unmanned RC car equipped with autonomous driving sensors such as LiDAR, radar, VIS/IR cameras, GPS, and IMUs that can provide ROS-based datasets to researchers studying self-driving cars and robots using ROS. In addition, unlike conventional datasets, we acquire dataset not only on road but also pedestrian paths that can be used in both vehicles and robots and provides extreme environmental datasets such as snowfall environments. In this sense, the ROS dataset we created will be helpful to researchers studying autonomous vehicles and robots by using ROS.
{"title":"Development of ROS-based Small Unmanned Platform for Acquiring Autonomous Driving Dataset in Various Places and Weather Conditions","authors":"Ji-il Park, Minseong Choi, Seungho Han, Yeongseok Lee, J. Cho, Hyoseo Choi, Min-Yyeong Cho, Minyoung Lee, Kyung-Soo Kim","doi":"10.1109/COMPSAC54236.2022.00013","DOIUrl":"https://doi.org/10.1109/COMPSAC54236.2022.00013","url":null,"abstract":"As autonomous driving research has actively pro-gressed, software for autonomous vehicles and embedded systems such as Apollo and AutoWare have also been developed, providing a complete set of self-driving modules, including perception, localization and mapping, path planning, prediction, decision making, and control. Most of the researchers currently use these software programs, but many researchers have also studied autonomous driving based on the middleware software termed robot operating system (ROS) before such software was released, especially in academia. Accordingly, we intend to develop ROS-based unmanned RC car equipped with autonomous driving sensors such as LiDAR, radar, VIS/IR cameras, GPS, and IMUs that can provide ROS-based datasets to researchers studying self-driving cars and robots using ROS. In addition, unlike conventional datasets, we acquire dataset not only on road but also pedestrian paths that can be used in both vehicles and robots and provides extreme environmental datasets such as snowfall environments. In this sense, the ROS dataset we created will be helpful to researchers studying autonomous vehicles and robots by using ROS.","PeriodicalId":330838,"journal":{"name":"2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)","volume":"274 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131403991","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 : 2022-06-01DOI: 10.1109/COMPSAC54236.2022.00253
S. McDonald, D. Towey, V. Brusic
This article examines the impact of smart environments on society from a software engineering design perspective. Smart environments create significant design challenges due to their scalability, interconnectedness, and adaptivity of devices. Software engineering and existing standards typically address technical issues, while ethical and social issues have been neglected. This work argues that changing regulatory requirements shifts the responsibility for outcomes to the software engineering team, and therefore the definition of adequate guidelines is needed. These guidelines include consideration of ethical issues, harmonized ethically informed standards, principles that address compliance risks, and analyses of social impact. Our starting point is the seven harmonized standards defined by the European GDPR. Based on the existing literature and additional analyses, we identify ten key ethical issues, nine compliance risks, and twelve analyses of societal impact. These standards, issues, risks, and analyses make a starting point for the development of formal guidelines applicable to socially aware smart environment design.
{"title":"Social Impact of Smart Environments: Software Engineering Perspectives and Challenges","authors":"S. McDonald, D. Towey, V. Brusic","doi":"10.1109/COMPSAC54236.2022.00253","DOIUrl":"https://doi.org/10.1109/COMPSAC54236.2022.00253","url":null,"abstract":"This article examines the impact of smart environments on society from a software engineering design perspective. Smart environments create significant design challenges due to their scalability, interconnectedness, and adaptivity of devices. Software engineering and existing standards typically address technical issues, while ethical and social issues have been neglected. This work argues that changing regulatory requirements shifts the responsibility for outcomes to the software engineering team, and therefore the definition of adequate guidelines is needed. These guidelines include consideration of ethical issues, harmonized ethically informed standards, principles that address compliance risks, and analyses of social impact. Our starting point is the seven harmonized standards defined by the European GDPR. Based on the existing literature and additional analyses, we identify ten key ethical issues, nine compliance risks, and twelve analyses of societal impact. These standards, issues, risks, and analyses make a starting point for the development of formal guidelines applicable to socially aware smart environment design.","PeriodicalId":330838,"journal":{"name":"2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131914495","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：