... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks最新文献
Pub Date : 2022-01-01DOI: 10.5220/0010838300003118
D. Rivas-Lalaleo, Alex Mauricio Santana Gallo, Cristian Molina, Mónica Huerta, R. Clotet, Andrés Pérez, L. Santana, Fernanda Oñate
The climate change has become one of the most studied problems in recent years. Analyses of climate behavior have traditionally been treated in a macro way, that is, large areas of territory are analyzed. The development of humanity in particular, which has been denoted by the increase in population and therefore the growth of cities, has had an effect on the climate. The change in climatic conditions within cities due to the effects of construction, urban planning, modification of territories, among others, are known as urban micro-climates. These variations require special attention, since these apparently minimal changes can have a great effect on the life of the population. The purpose of this project is to study the historical data on the behavior of the urban climate of Latacunga, through the temporal analysis of the data obtained by the meteorological station of the Universidad de las Fuerzas ESPE, later to develop micro meteorological stations that are installed in various locations of the city, finally the information generated and its corresponding reports will be presented through a web page, thus allowing to have a tool that allows to identify the behavior of the urban microclimate of the city of Latacunga. The results obtained have made it possible to identify the maximum, minimum and most frequent values of temperature, humidity, speed and wind direction. In addition, with the installation of the new stations, the monitoring of variables such as solar radiation, atmospheric pressure, among others, has increased. With the information processed, it will allow the generation of recommendations oriented to risk management, urban planning and citizen security.
{"title":"MASHCA: Monitoring and Hydro Climatological Analysis of the Urban Microclimate of Latacunga","authors":"D. Rivas-Lalaleo, Alex Mauricio Santana Gallo, Cristian Molina, Mónica Huerta, R. Clotet, Andrés Pérez, L. Santana, Fernanda Oñate","doi":"10.5220/0010838300003118","DOIUrl":"https://doi.org/10.5220/0010838300003118","url":null,"abstract":"The climate change has become one of the most studied problems in recent years. Analyses of climate behavior have traditionally been treated in a macro way, that is, large areas of territory are analyzed. The development of humanity in particular, which has been denoted by the increase in population and therefore the growth of cities, has had an effect on the climate. The change in climatic conditions within cities due to the effects of construction, urban planning, modification of territories, among others, are known as urban micro-climates. These variations require special attention, since these apparently minimal changes can have a great effect on the life of the population. The purpose of this project is to study the historical data on the behavior of the urban climate of Latacunga, through the temporal analysis of the data obtained by the meteorological station of the Universidad de las Fuerzas ESPE, later to develop micro meteorological stations that are installed in various locations of the city, finally the information generated and its corresponding reports will be presented through a web page, thus allowing to have a tool that allows to identify the behavior of the urban microclimate of the city of Latacunga. The results obtained have made it possible to identify the maximum, minimum and most frequent values of temperature, humidity, speed and wind direction. In addition, with the installation of the new stations, the monitoring of variables such as solar radiation, atmospheric pressure, among others, has increased. With the information processed, it will allow the generation of recommendations oriented to risk management, urban planning and citizen security.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"8 1","pages":"134-143"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75456442","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 : 2022-01-01DOI: 10.5220/0010894500003118
G. Paller, G. Élö
Plastic waste in living waters is a worldwide problem. One particular variant of this problem is floating plastic waste, e.g. plastic bottles or bags. Rivers often carry large amount of floating plastic waste, due to unauthorized or not properly maintained waste dumps installed in the rivers’ flood plain. It is of utmost importance that environmental protection agencies be aware of such large-scale plastic pollutions so that they can initiate appropriate countermeasures. This paper presents two iterations of an early warning system designed to alert environmental protection agencies of plastic waste pollution. These systems are based on processing camera images but while the first iteration uses motion detection for identifying relevant images, the second iteration adopted a machine learning algorithm deployed in edge computing architecture. Better selectivity of the machine learning-based solution significantly eases the burden on the operators of the early warning system.
{"title":"Towards a Floating Plastic Waste Early Warning System","authors":"G. Paller, G. Élö","doi":"10.5220/0010894500003118","DOIUrl":"https://doi.org/10.5220/0010894500003118","url":null,"abstract":"Plastic waste in living waters is a worldwide problem. One particular variant of this problem is floating plastic waste, e.g. plastic bottles or bags. Rivers often carry large amount of floating plastic waste, due to unauthorized or not properly maintained waste dumps installed in the rivers’ flood plain. It is of utmost importance that environmental protection agencies be aware of such large-scale plastic pollutions so that they can initiate appropriate countermeasures. This paper presents two iterations of an early warning system designed to alert environmental protection agencies of plastic waste pollution. These systems are based on processing camera images but while the first iteration uses motion detection for identifying relevant images, the second iteration adopted a machine learning algorithm deployed in edge computing architecture. Better selectivity of the machine learning-based solution significantly eases the burden on the operators of the early warning system.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"76 1","pages":"45-50"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86080915","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 : 2022-01-01DOI: 10.5220/0010936200003118
M. A. Hail, Ian Pösse, S. Fischer
IoT systems have taken on an essential role in our life. IoT devices are strongly integrated into several sectors such as Smart Healthcare, Smart Cities, Smart Energy, Smart Industry, etc. and deliver important data. Designing, building, and implementing IoT systems are significant challenges because of IoT requirements such as mobility, energy consumption, and limited device memory. To mitigate such challenges, opportunities to test and evaluate IoT systems early in the first development phases are important to reduce cost and effort. Different systems have been proposed to aid such development, aiming at different key challenges. One of these systems is FIWARE, an open source IoT middleware, designed to ease data transportation and big data tasks. It has been established as an ecosystem technology used for optimizing the development of several applications and services in IoT. Key feature is the standardized architecture for gathering context information and managing these contexts in cloud based IoT and big data applications. In this paper, we discuss the integration of FIWARE software and IoT-NDN. IoT-NDN is an IoT system based on the Named Data Networking (NDN) communication paradigm. NDN is a communication protocol developed for the Internet and uses hierarchical names instead of IP addresses to deliver data on the Internet. IoT-NDN is an advanced architecture of NDN, conceding the requirements and limitations of IoT devices. In this paper we present an approach and architecture to integrate FIWARE and IoT-NDN. This integration eases implementation of IoT-NDN in existing applications, since a transparent compatibility between both systems can be achieved.
{"title":"Integration of FIWARE and IoT based Named Data Networking (IoT-NDN)","authors":"M. A. Hail, Ian Pösse, S. Fischer","doi":"10.5220/0010936200003118","DOIUrl":"https://doi.org/10.5220/0010936200003118","url":null,"abstract":"IoT systems have taken on an essential role in our life. IoT devices are strongly integrated into several sectors such as Smart Healthcare, Smart Cities, Smart Energy, Smart Industry, etc. and deliver important data. Designing, building, and implementing IoT systems are significant challenges because of IoT requirements such as mobility, energy consumption, and limited device memory. To mitigate such challenges, opportunities to test and evaluate IoT systems early in the first development phases are important to reduce cost and effort. Different systems have been proposed to aid such development, aiming at different key challenges. One of these systems is FIWARE, an open source IoT middleware, designed to ease data transportation and big data tasks. It has been established as an ecosystem technology used for optimizing the development of several applications and services in IoT. Key feature is the standardized architecture for gathering context information and managing these contexts in cloud based IoT and big data applications. In this paper, we discuss the integration of FIWARE software and IoT-NDN. IoT-NDN is an IoT system based on the Named Data Networking (NDN) communication paradigm. NDN is a communication protocol developed for the Internet and uses hierarchical names instead of IP addresses to deliver data on the Internet. IoT-NDN is an advanced architecture of NDN, conceding the requirements and limitations of IoT devices. In this paper we present an approach and architecture to integrate FIWARE and IoT-NDN. This integration eases implementation of IoT-NDN in existing applications, since a transparent compatibility between both systems can be achieved.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"190 1","pages":"184-190"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77778804","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 : 2022-01-01DOI: 10.5220/0011011900003118
C. Doğan, Selim Yılmaz, Sevil Şen
The IPv6 Routing Protocol for Low Power Lossy Networks (RPL) is one of the standardized routing protocols for lossy networks consisting of resource-constrained Internet of Things (IoT) devices. RPL allows to use different objective functions based on different routing metrics such as expected transmission count (ETX), hop count, and energy to determine effective routes. In the literature, the performance of two objective functions namely Objective Function Zero (OF0), Minimum Rank with Hysteresis Objective Function (MRHOF) are evaluated thoroughly, since they are accepted as standard objective functions in RPL. However their performance under attack has not been evaluated comprehensively yet. Although RPL has defined some specifications for its security, it is still vulnerable to insider attacks, which could dramatically affect the network performance. Therefore, this study investigates how the performance of objective functions are affected by RPL specific attacks. Version number, DIS flooding, and worst parent attacks are analyzed by using the following performance metrics: packet delivery ratio, overhead, latency, and power consumption. Moreover, how they are affected by the number of attackers in the network are analyzed. To the best of the authors’ knowledge, this is the first study that comprehensively explores RPL objective functions on networks under
{"title":"Analysis of RPL Objective Functions with Security Perspective","authors":"C. Doğan, Selim Yılmaz, Sevil Şen","doi":"10.5220/0011011900003118","DOIUrl":"https://doi.org/10.5220/0011011900003118","url":null,"abstract":"The IPv6 Routing Protocol for Low Power Lossy Networks (RPL) is one of the standardized routing protocols for lossy networks consisting of resource-constrained Internet of Things (IoT) devices. RPL allows to use different objective functions based on different routing metrics such as expected transmission count (ETX), hop count, and energy to determine effective routes. In the literature, the performance of two objective functions namely Objective Function Zero (OF0), Minimum Rank with Hysteresis Objective Function (MRHOF) are evaluated thoroughly, since they are accepted as standard objective functions in RPL. However their performance under attack has not been evaluated comprehensively yet. Although RPL has defined some specifications for its security, it is still vulnerable to insider attacks, which could dramatically affect the network performance. Therefore, this study investigates how the performance of objective functions are affected by RPL specific attacks. Version number, DIS flooding, and worst parent attacks are analyzed by using the following performance metrics: packet delivery ratio, overhead, latency, and power consumption. Moreover, how they are affected by the number of attackers in the network are analyzed. To the best of the authors’ knowledge, this is the first study that comprehensively explores RPL objective functions on networks under","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"115 1","pages":"71-80"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80853493","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 : 2022-01-01DOI: 10.5220/0010793400003118
Federico Gaona, Ever Quiñonez, Adolfo Jara, Ariel Manabe, Norma Silva, M. Monteiro, C. Schaerer, M. C. Vega, A. R. Arias
This work presents a monitoring system trap to detect the presence of arthropod insects in a remote surveillance zone. Detections are made using sensor traps that are installed in twenty houses of an indigenous village of the Paraguayan Chaco in South America, where the insects that transmit Chagas disease are pressing to infest the area. Pheromone baits are used to ensure the attraction of Triatoma infestans. For detecting variations of the light due to insect intrusion, trap entrances have photoelectric infrared sensors. Once the insect is detected, the information is collected and transmitted to an Internet database storage server. More than 750 intrusions were detected during nine months, the highest number of detections occurred when the temperature ranged between 20 °C and 34 °C, relative humidity average less than 30% and the precipitation was less than 1.5 mm. This new result provides evidence of the T. infestans activity at different times of the day and month, and its relationship with certain environmental variables. These findings contribute to reorientate surveillance procedures, validate the monitoring system proposal and give important information on the vector's life activity.
{"title":"Infrared Photoelectric Sensor Network Applied to Remote Arthropod Insects' Surveillance","authors":"Federico Gaona, Ever Quiñonez, Adolfo Jara, Ariel Manabe, Norma Silva, M. Monteiro, C. Schaerer, M. C. Vega, A. R. Arias","doi":"10.5220/0010793400003118","DOIUrl":"https://doi.org/10.5220/0010793400003118","url":null,"abstract":"This work presents a monitoring system trap to detect the presence of arthropod insects in a remote surveillance zone. Detections are made using sensor traps that are installed in twenty houses of an indigenous village of the Paraguayan Chaco in South America, where the insects that transmit Chagas disease are pressing to infest the area. Pheromone baits are used to ensure the attraction of Triatoma infestans. For detecting variations of the light due to insect intrusion, trap entrances have photoelectric infrared sensors. Once the insect is detected, the information is collected and transmitted to an Internet database storage server. More than 750 intrusions were detected during nine months, the highest number of detections occurred when the temperature ranged between 20 °C and 34 °C, relative humidity average less than 30% and the precipitation was less than 1.5 mm. This new result provides evidence of the T. infestans activity at different times of the day and month, and its relationship with certain environmental variables. These findings contribute to reorientate surveillance procedures, validate the monitoring system proposal and give important information on the vector's life activity.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"2 1","pages":"113-120"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87954403","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 : 2022-01-01DOI: 10.5220/0010981600003118
Abdulsalam Basabaa, E. Elmallah
In this paper, we consider a path exposure problem in energy harvesting wireless sensor networks (EH-WSNs) where nodes are equipped with directional communication devices. Nodes harvest energy from ambient environment (e.g., solar power), and manage fluctuations in their stored energy by adjusting some of their directional transmission parameters. Using a probabilistic graph model we formalize a problem, denoted DirEXPO-RU, that quantifies the ability of a network to detect and report traversal along a given path as probability representing the reliability of the network in performing the path monitoring task. A problem that arises in managing the network resources to maximize this reliability measure is to adjust the transmission beam width of each node, given that nodes beam centers are given as input. We develop a heuristic algorithm to deal with the problem, and use the algorithm in a framework for computing lower bounds on the reliability of the overall network. The obtained numerical results show improvement in the achieved network reliability.
{"title":"On Configuring Directional Transmission for Path Exposure Reliability in Energy Harvesting Wireless Sensor Networks","authors":"Abdulsalam Basabaa, E. Elmallah","doi":"10.5220/0010981600003118","DOIUrl":"https://doi.org/10.5220/0010981600003118","url":null,"abstract":"In this paper, we consider a path exposure problem in energy harvesting wireless sensor networks (EH-WSNs) where nodes are equipped with directional communication devices. Nodes harvest energy from ambient environment (e.g., solar power), and manage fluctuations in their stored energy by adjusting some of their directional transmission parameters. Using a probabilistic graph model we formalize a problem, denoted DirEXPO-RU, that quantifies the ability of a network to detect and report traversal along a given path as probability representing the reliability of the network in performing the path monitoring task. A problem that arises in managing the network resources to maximize this reliability measure is to adjust the transmission beam width of each node, given that nodes beam centers are given as input. We develop a heuristic algorithm to deal with the problem, and use the algorithm in a framework for computing lower bounds on the reliability of the overall network. The obtained numerical results show improvement in the achieved network reliability.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"85 1","pages":"60-70"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85420138","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 : 2022-01-01DOI: 10.5220/0010777500003118
Theo Gabloffsky, B. Kruse, R. Salomon
It should be known to almost all readers that light barriers are commonly used for measuring the speed of various objects. These devices are easy to use, quite robust, and of low cost. Despite their advantages, light barriers exhibit certain limitations that occur when the objects of interest move in more than one spatial dimension. This paper discusses a physical setup in which light barriers can also be used in case of two-dimensional trajectories. However, this setup requires rather complicated calculations. Therefore, this paper performs these calculations by means of different neural network models. The results show that backpropagation networks as well as radial basis functions are able to achieve a residual error less than 0.21 %, which is more than sufficient for most sports and everyday applications.
{"title":"Surface Light Barriers","authors":"Theo Gabloffsky, B. Kruse, R. Salomon","doi":"10.5220/0010777500003118","DOIUrl":"https://doi.org/10.5220/0010777500003118","url":null,"abstract":"It should be known to almost all readers that light barriers are commonly used for measuring the speed of various objects. These devices are easy to use, quite robust, and of low cost. Despite their advantages, light barriers exhibit certain limitations that occur when the objects of interest move in more than one spatial dimension. This paper discusses a physical setup in which light barriers can also be used in case of two-dimensional trajectories. However, this setup requires rather complicated calculations. Therefore, this paper performs these calculations by means of different neural network models. The results show that backpropagation networks as well as radial basis functions are able to achieve a residual error less than 0.21 %, which is more than sufficient for most sports and everyday applications.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"24 1","pages":"97-104"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73677540","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 : 2022-01-01DOI: 10.5220/0011012500003118
Amina Whichi, R. Fromm, A. Fakhfakh, F. Derbel
Wireless Sensor Networks (WSNs) are an emerging and promising approach to Internet of Things (IoT). However, energy consumption is regarded as one of the most critical problems in WSNs due to the devices’ limits.To address this problem, an ultra-low-power radio receiver known as a wake-up receiver (WuRx) is used to handle idle listening while the main radio is turned off. Since simulators for performance prediction have become almost indispensable in the design and management of new hardware equipment and components, we will present in this paper the design of a wake-up receiver module, that could be a solution to the energy consumption’s challenge, in OMNeT++ and compare it to experimental results, focusing on energy performance and reliability factors.
{"title":"Appropriate Integration of Wake-up Receivers in Simulations Tools based on Real Experiments","authors":"Amina Whichi, R. Fromm, A. Fakhfakh, F. Derbel","doi":"10.5220/0011012500003118","DOIUrl":"https://doi.org/10.5220/0011012500003118","url":null,"abstract":"Wireless Sensor Networks (WSNs) are an emerging and promising approach to Internet of Things (IoT). However, energy consumption is regarded as one of the most critical problems in WSNs due to the devices’ limits.To address this problem, an ultra-low-power radio receiver known as a wake-up receiver (WuRx) is used to handle idle listening while the main radio is turned off. Since simulators for performance prediction have become almost indispensable in the design and management of new hardware equipment and components, we will present in this paper the design of a wake-up receiver module, that could be a solution to the energy consumption’s challenge, in OMNeT++ and compare it to experimental results, focusing on energy performance and reliability factors.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"2 1","pages":"275-280"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90110371","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 : 2022-01-01DOI: 10.5220/0010886300003118
Faten Louati, F. Ktata, Ikram Amous
Networking security continue to be a serious challenge for all domains because of the increasing number of attacks launched every day due to the advent of connected devices and the emergence of the Internet. Hence, Intrusion detection system comes into focus, especially with the inception of big data challenges. In this paper, we propose a distributed and parallel intrusion detection system suitable for big data environments using machine learning-based multi agent system and big data analysis.
{"title":"A Distributed Intelligent Intrusion Detection System based on Parallel Machine Learning and Big Data Analysis","authors":"Faten Louati, F. Ktata, Ikram Amous","doi":"10.5220/0010886300003118","DOIUrl":"https://doi.org/10.5220/0010886300003118","url":null,"abstract":"Networking security continue to be a serious challenge for all domains because of the increasing number of attacks launched every day due to the advent of connected devices and the emergence of the Internet. Hence, Intrusion detection system comes into focus, especially with the inception of big data challenges. In this paper, we propose a distributed and parallel intrusion detection system suitable for big data environments using machine learning-based multi agent system and big data analysis.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"24 1","pages":"152-157"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75044133","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 : 2022-01-01DOI: 10.5220/0010901900003118
L. Safari, G. Barile, Mattia Ragnoli, G. Ferri, V. Stornelli
In this paper a new second generation voltage conveyor (VCII) based half wave rectifier circuit architecture proposal is presented. Both inverting and non-inverting outputs in the form of voltage signal are produced. The proposed circuit is the first half wave rectifier architecture using VCIIs introduced in the literature. It consists of one VCII, two diodes and a single grounded resistor. The input signal is in current form and the rectified output voltage signal is provided at the low impedance Z port of the same VCII. Therefore, the produced output signal can be directly used with no need to add extra voltage buffers. In addition, the circuit gain is set by the grounded resistor value and can be tuned. The proposed circuit enjoys a simple transistorlevel structure employing only 21 transistors. In this paper, the architecture of the rectifier is presented and explained, as well as a possible VCII topology. Preliminary simulation results are also given highlighting its capabilities. Its simplicity and versatility make it suitable for sensor interfaces and processing circuits for sensor networks where a low power consumption for the analog processing section is of the utmost
{"title":"A New Architecture Proposal of Half-wave Precision Rectifier using a Single VCII","authors":"L. Safari, G. Barile, Mattia Ragnoli, G. Ferri, V. Stornelli","doi":"10.5220/0010901900003118","DOIUrl":"https://doi.org/10.5220/0010901900003118","url":null,"abstract":"In this paper a new second generation voltage conveyor (VCII) based half wave rectifier circuit architecture proposal is presented. Both inverting and non-inverting outputs in the form of voltage signal are produced. The proposed circuit is the first half wave rectifier architecture using VCIIs introduced in the literature. It consists of one VCII, two diodes and a single grounded resistor. The input signal is in current form and the rectified output voltage signal is provided at the low impedance Z port of the same VCII. Therefore, the produced output signal can be directly used with no need to add extra voltage buffers. In addition, the circuit gain is set by the grounded resistor value and can be tuned. The proposed circuit enjoys a simple transistorlevel structure employing only 21 transistors. In this paper, the architecture of the rectifier is presented and explained, as well as a possible VCII topology. Preliminary simulation results are also given highlighting its capabilities. Its simplicity and versatility make it suitable for sensor interfaces and processing circuits for sensor networks where a low power consumption for the analog processing section is of the utmost","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"1 1","pages":"158-162"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91161917","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}
... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks
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