... 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: 10.5220/0010838100003118
Surendar Devasundaram, Andrea Raymond, Mark Virgen, Drue Shapiro, Joon-Hyuk Park
The studies of human physiology, movement biomechanics and environmental interaction are generally conducted in laboratory settings using standard lab equipment such as Electrocardiography (ECG), respiration belt, motion capture cameras and a force-plate instrumented treadmill. With recent advancements in wearable technology, research on human behaviour, physiology and biomechanics in real-world environments has become much more viable and offers a means to collect real-world data from a broader range of activities. However, current wearable devices are typically a stand-alone system, each employing its own hardware and software interfaces that often vary between different systems, thus making it difficult to simultaneously integrate and instrument them on a user for synchronous multimodal measurements. To overcome this limitation, we propose a reconfigurable multimodal wearable sensor network (RMWSN) for real-time monitoring and data acquisition of various biomechanics, physiological and environmental parameters. The RMWSN incorporates a two-tier sensor network: the first tier utilizes wearable sensors with a microcontroller and the second tier consists of an efficient edge computing device for real-time data processing, data logging and wireless data transmission. The novel feature of the system that differentiates itself from existing wearable sensor systems is the modular and reconfigurable design in a wearable form, its scalability, easy accessibility, and integration with external computing devices. The outcomes of this research demonstrate an efficient multimodal wearable sensor network for use in many applications for human health and ambience monitoring.
{"title":"Design of a Reconfigurable Multimodal Wearable Sensor Network (RMWSN) for Human Health and Ambience Monitoring","authors":"Surendar Devasundaram, Andrea Raymond, Mark Virgen, Drue Shapiro, Joon-Hyuk Park","doi":"10.5220/0010838100003118","DOIUrl":"https://doi.org/10.5220/0010838100003118","url":null,"abstract":"The studies of human physiology, movement biomechanics and environmental interaction are generally conducted in laboratory settings using standard lab equipment such as Electrocardiography (ECG), respiration belt, motion capture cameras and a force-plate instrumented treadmill. With recent advancements in wearable technology, research on human behaviour, physiology and biomechanics in real-world environments has become much more viable and offers a means to collect real-world data from a broader range of activities. However, current wearable devices are typically a stand-alone system, each employing its own hardware and software interfaces that often vary between different systems, thus making it difficult to simultaneously integrate and instrument them on a user for synchronous multimodal measurements. To overcome this limitation, we propose a reconfigurable multimodal wearable sensor network (RMWSN) for real-time monitoring and data acquisition of various biomechanics, physiological and environmental parameters. The RMWSN incorporates a two-tier sensor network: the first tier utilizes wearable sensors with a microcontroller and the second tier consists of an efficient edge computing device for real-time data processing, data logging and wireless data transmission. The novel feature of the system that differentiates itself from existing wearable sensor systems is the modular and reconfigurable design in a wearable form, its scalability, easy accessibility, and integration with external computing devices. The outcomes of this research demonstrate an efficient multimodal wearable sensor network for use in many applications for human health and ambience monitoring.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75515328","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: 10.5220/0010983900003118
M. A. D. Oliveira, Gregory Sedrez, G. Souza, G. H. Cavalheiro
Increasing field productivity is not just a financial need, but also a social issue. Several technologies converge to promote food production and, in this context, the fog computing paradigm can support the development of solutions for precision agriculture. This paper proposes an application of the Jetson Nano device, embedded in an agricultural spraying implement. This device supports the decision on irrigation activity, based on data collected by sensors distributed in the field. The sensors read information about the plant’s stress level from electrical signals and the Jetson Nano enables real-time analysis, through machine learning algorithms, to manage the product spray rate, according to the condition of the crop. Initial studies validated the proposed solution on an experimental basis, showing that the device can be an alternative for this purpose, since it can be used efficiently in machine learning tasks from data collected by the sensors. The experiment also highlighted some limitations of the proposed solution, such as the importance of observing the conditions of the system as a whole, its context and environment, in order to improve performance in spraying process.
{"title":"An Application with Jetson Nano for Plant Stress Detection and On-field Spray Decision","authors":"M. A. D. Oliveira, Gregory Sedrez, G. Souza, G. H. Cavalheiro","doi":"10.5220/0010983900003118","DOIUrl":"https://doi.org/10.5220/0010983900003118","url":null,"abstract":"Increasing field productivity is not just a financial need, but also a social issue. Several technologies converge to promote food production and, in this context, the fog computing paradigm can support the development of solutions for precision agriculture. This paper proposes an application of the Jetson Nano device, embedded in an agricultural spraying implement. This device supports the decision on irrigation activity, based on data collected by sensors distributed in the field. The sensors read information about the plant’s stress level from electrical signals and the Jetson Nano enables real-time analysis, through machine learning algorithms, to manage the product spray rate, according to the condition of the crop. Initial studies validated the proposed solution on an experimental basis, showing that the device can be an alternative for this purpose, since it can be used efficiently in machine learning tasks from data collected by the sensors. The experiment also highlighted some limitations of the proposed solution, such as the importance of observing the conditions of the system as a whole, its context and environment, in order to improve performance in spraying process.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76506484","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: 10.5220/0011014400003118
Sain Saginbekov, Dossay Oryspayev
Wireless Sensor Networks (WSNs) consist of a number of resource-constrained sensor nodes and a designated node called a sink, which collects data from the sensor nodes. A WSN can be used in numerous applications such as subject tracking and monitoring, where it is often desirable to keep the location of the subject private. In these types of applications, an adversary can locate the monitored subject, if a location privacy protection scheme is not applied. In this paper, we propose an adaptive energy and delay efficient scheme, called Snowflake, that conceals the location of subjects from a global adversary. Snowflake can be adapted to make the delivery delay smaller, or to make the packet overhead low. The simulation results show that Snowflake performs better than an existing algorithm.
{"title":"Snowflake: An Adaptive Energy and Delay Efficient Scheme for Source Location Privacy in Wireless Sensor Networks","authors":"Sain Saginbekov, Dossay Oryspayev","doi":"10.5220/0011014400003118","DOIUrl":"https://doi.org/10.5220/0011014400003118","url":null,"abstract":"Wireless Sensor Networks (WSNs) consist of a number of resource-constrained sensor nodes and a designated node called a sink, which collects data from the sensor nodes. A WSN can be used in numerous applications such as subject tracking and monitoring, where it is often desirable to keep the location of the subject private. In these types of applications, an adversary can locate the monitored subject, if a location privacy protection scheme is not applied. In this paper, we propose an adaptive energy and delay efficient scheme, called Snowflake, that conceals the location of subjects from a global adversary. Snowflake can be adapted to make the delivery delay smaller, or to make the packet overhead low. The simulation results show that Snowflake performs better than an existing algorithm.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77580125","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: 10.5220/0010985800003118
Hassan Harb, Diana Nader, Kassem Sabeh, A. Makhoul
Nowadays, the IoT applications benefit widely many sectors including healthcare, environment, military, surveillance, etc. While the potential benefits of IoT are real and significant, two major challenges remain in front of fully realizing this potential: limited sensor energy and decision making in real-time applications. To overcome these problems, data reduction techniques over data routed to the sink should be used in such a way that they do not discard useful information. In this paper, we propose a new energy efficient and real-time based algorithm to improve the decision making in IoT. At first data reduction is applied at the sensor nodes to reduce their raw data based on a predefined scoring system. Then, a second data reduction phase is applied at intermediate nodes, called grid leaders. It uses K-means as a clustering algorithm in order to eliminate data redundancy collected by the neighbor nodes. Finally, decision is taken at the sink level based on a scoring risk system and a risk-decision table. The evaluation of our technique is made based on a simulation from data collected on sensors at Intel Berkeley research lab. The obtained results show the relevance of our technique, in terms of data reduction and energy consumption.
{"title":"Real-time Approach for Decision Making in IoT-based Applications","authors":"Hassan Harb, Diana Nader, Kassem Sabeh, A. Makhoul","doi":"10.5220/0010985800003118","DOIUrl":"https://doi.org/10.5220/0010985800003118","url":null,"abstract":"Nowadays, the IoT applications benefit widely many sectors including healthcare, environment, military, surveillance, etc. While the potential benefits of IoT are real and significant, two major challenges remain in front of fully realizing this potential: limited sensor energy and decision making in real-time applications. To overcome these problems, data reduction techniques over data routed to the sink should be used in such a way that they do not discard useful information. In this paper, we propose a new energy efficient and real-time based algorithm to improve the decision making in IoT. At first data reduction is applied at the sensor nodes to reduce their raw data based on a predefined scoring system. Then, a second data reduction phase is applied at intermediate nodes, called grid leaders. It uses K-means as a clustering algorithm in order to eliminate data redundancy collected by the neighbor nodes. Finally, decision is taken at the sink level based on a scoring risk system and a risk-decision table. The evaluation of our technique is made based on a simulation from data collected on sensors at Intel Berkeley research lab. The obtained results show the relevance of our technique, in terms of data reduction and energy consumption.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86712779","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: 10.5220/0011012600003118
Mohamed Khalil Baazaoui, Ilef Ketata, Ghofrane Fersi, A. Fakhfakh, F. Derbel
The simulation of different scenarios and protocols under environmental conditions is a success key for a reliable Wireless Sensor Network (WSN). For some applications, the variation of the weather conditions as the temperature and humidity could affect the Received Signal Strength Indication (RSSI). Running multisimulation scenarios is required to evaluate the proposed protocols and architectures before their deployment in a real-world network. The more the simulator mimics the real world, the closer the evaluation results to the real network. In this paper, we have integrated temperature and humidity in the Omnet simulator and have taken into account the impact of these environmental factors on the RSSI based on real experiments that were carried out using the CC1101 radio ship of Panstamp Avr2 at 868 MHz frequency.
{"title":"Implementation of RSSI Module in Omnet++ for Investigation of WSN Simulations based on Real Environmental Conditions","authors":"Mohamed Khalil Baazaoui, Ilef Ketata, Ghofrane Fersi, A. Fakhfakh, F. Derbel","doi":"10.5220/0011012600003118","DOIUrl":"https://doi.org/10.5220/0011012600003118","url":null,"abstract":"The simulation of different scenarios and protocols under environmental conditions is a success key for a reliable Wireless Sensor Network (WSN). For some applications, the variation of the weather conditions as the temperature and humidity could affect the Received Signal Strength Indication (RSSI). Running multisimulation scenarios is required to evaluate the proposed protocols and architectures before their deployment in a real-world network. The more the simulator mimics the real world, the closer the evaluation results to the real network. In this paper, we have integrated temperature and humidity in the Omnet simulator and have taken into account the impact of these environmental factors on the RSSI based on real experiments that were carried out using the CC1101 radio ship of Panstamp Avr2 at 868 MHz frequency.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85979114","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: 10.5220/0010838300003118
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":null,"pages":null},"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: 10.5220/0010936200003118
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":null,"pages":null},"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":null,"pages":null},"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: 10.5220/0010894500003118
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":null,"pages":null},"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: 10.5220/0010793400003118
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":null,"pages":null},"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}
... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks
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