... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks最新文献
Federico Gaona, Ever Quiñonez, Adolfo Jara, Ariel Manabe, Norma Silva, M. Monteiro, C. Schaerer, M. C. Vega, A. R. Arias
{"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}
{"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}
{"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}
{"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}
L. Safari, G. Barile, Mattia Ragnoli, G. Ferri, V. Stornelli
{"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}
{"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}
{"title":"Storage Allocation for Camera Sensor Networks using Feedback-based Price Discrimination","authors":"Alexandre Martins, Hung-Yu Wei, Karl-Erik Årzén","doi":"10.5220/0010858500003118","DOIUrl":"https://doi.org/10.5220/0010858500003118","url":null,"abstract":"Camera sensor networks, mainly with surveillance cameras, are growing in size and complexity. Storage space is the prime resource in such systems but current surveillance setups are still very much centralized and limited in resources due to cost and security constraints. Allocating the correct amount of storage to each camera sensor considering their large difference in characteristics and video content is challenging. In this paper we propose a framework using feedback-based price discrimination of storage resources in order to guarantee a uniform quality level of the videos in camera sensor networks, regardless of the specific camera sensor parameters. We designed a lightweight solution using simple video quality metrics, cascade control and PI (Proportional and Integral) controllers to define the optimal price of resources per camera.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"13 1","pages":"34-44"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90075528","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}
Begum Kasap, Kourosh Vali, Weitai Qian, Herman L Hedriana, Aijun Wang, Diana L Farmer, Soheil Ghiasi
{"title":"Towards Noninvasive Accurate Detection of Intrapartum Fetal Hypoxic Distress.","authors":"Begum Kasap, Kourosh Vali, Weitai Qian, Herman L Hedriana, Aijun Wang, Diana L Farmer, Soheil Ghiasi","doi":"10.1109/bsn51625.2021.9507036","DOIUrl":"10.1109/bsn51625.2021.9507036","url":null,"abstract":"<p><p>Current intrapartum fetal well-being assessment is performed using electronic fetal monitoring (EFM), technically referred to as cardiotocography (CTG), which transabdominally monitors fetal heart rate (FHR) in relationship to maternal uterine contractions. Sometimes the deceleration in FHR following a uterine contraction can be sign of fetal hypoxic distress, but it may also be a normal physiological response. Multiple studies have shown that EFM has a high false positive rate for detecting fetal hypoxia. This has caused a rise in emergency Cesarean section (C-section) deliveries performed in the US over the years, while the rates of various conditions associated with anoxic brain injury at birth remain unchanged. The underlying problem is that many factors other than hypoxia can cause non-reassuring CTG traces and a more objective measure of oxygen supply to the fetal brain is not conveniently available. We are working to develop a transabdominal fetal pulse oximetry (TFO) system to non-invasively measure fetal arterial blood oxygen saturation (FSpO2) in order to enhance intrapartum fetal monitoring. This paper gives an overview of the past and ongoing work performed to develop TFO, highlights the main engineering and clinical challenges faced and presents preliminary results that demonstrate feasibility of TFO in both pregnant sheep models and human subjects.</p>","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"2021 ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10634358/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72016721","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"PAIoT Network: A Unique Regional IoT Network for Very Different Applications","authors":"S. Nanni, G. Mazzini","doi":"10.5220/0010321401070112","DOIUrl":"https://doi.org/10.5220/0010321401070112","url":null,"abstract":"LepidaSpa, the ICT in-house company of the Public Administrations of the Emilia Romagna region, has realized a regional IoT public network‡, based on the LoRaWan§ technology, free of charge for all public administrations, as well as to private citizens, potentially enabling the collection of relevant data from thousands of new sensors and making them accessible to both the owners of the sensors and, limitedly to institutional or public interest scopes, to every PA entity. The innovative aspects of the proposed solution mainly concern the extreme simplicity of the sensors installation, the low entry costs for stakeholders, both public and private, who want to deploy their own sensors, a centralized service that collects and makes data available in the cloud, the replicability of IoT projects on a regional scale.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"54 1","pages":"107-112"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"91391400","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}
{"title":"Mirror Mosaicking: A Novel Approach to Achieve High-performance Classification of Gases Leveraging Convolutional Neural Network","authors":"S. N. Chaudhri, N. S. Rajput","doi":"10.5220/0010251500860091","DOIUrl":"https://doi.org/10.5220/0010251500860091","url":null,"abstract":"Limited dimensionality of the dataset obtained from an electronic nose (EN) is due to the number of elements in the sensor array used generally in the range of 4-8 elements only. Further, large number of sensor data can be generated by sampling the sensor responses both during the transient and steady states. The lowerdimensionality of sensor data prohibits the use of a convolutional neural network (CNN)-based pattern recognition techniques because the kernels of a CNN cannot be used on the obtained sample vectors to extract the features. In this paper, we have proposed a novel approach to enhance the data dimensionality keeping the sensor response characteristics absolutely unaltered. By leveraging the concept of mirror mosaicking technique, we have upscaled the input sample vectors into a 6×6 2-D input arrays to train the shallow CNN. Using the proposed approach, all the 16-unknown steady-state test samples classified accurately which are not used during the training. Moreover, the parameters of the classification report viz., Precision, Recall, and F1 score also obtained with a fraction value of 1.00. The proposed technique is a generic approach that can be used to classify various low-dimensional datasets obtained from various sensor arrays in various fields.","PeriodicalId":72028,"journal":{"name":"... International Conference on Wearable and Implantable Body Sensor Networks. International Conference on Wearable and Implantable Body Sensor Networks","volume":"61 1","pages":"86-91"},"PeriodicalIF":0.0,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83821675","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}