Exploiting different combinations of complementary sensor's data for fingerprint-based indoor positioning in industrial environments

Wi-Fi fingerprinting is a popular technique for smartphone-based indoor positioning. However, well-known RF propagation issues create signal fluctuations that translate into large positioning errors. Large errors limit the usage of Wi-Fi fingerprinting in industrial environments, where the reliability of position estimates is a key requirement. One successful approach to deal with signal fluctuations is to average the signals collected simultaneously through independent Wi-Fi interfaces. Another successful approach is to average the estimates provided by models built on independent radio maps. This paper explores multiple combinations of both approaches and determines the procedure to select the best model based on them through a simulated environment. The evaluation of the proposed model in a real-world industrial scenario shows that the positioning error (according to different metrics including the 95th and 99th percentiles) is highly improved with respect to the traditional fingerprint.This work has been supported by: COMPETE (POCI-01- 0145-FEDER-007043); FCT-Fundação para a Ciência e Tecnologia (UID/CEC/00319/2019); Portugal Incentive System for Research and Technological Development in the scope of the projects in co-promotion no 002814/2015 (iFACTORY 2015-2018); REPNIN+ (TEC2017-90808-REDT); Universitat Jaume I (PREDOC/2016/55)

Gas phase biomarkers for disease diagnostics by ion-mobility

The detection of Volatile Organic Compounds (VOCs) has shown great potential as a noninvasive and rapid diagnostic tool for early cancer and disease detection. The use of VOCs for early disease detection has several advantages and can provide valuable insights into disease pathophysiology. This PhD research aimed to investigate the presence of VOCs in urine samples and the development of chemical fingerprints for various cancers, namely, bladder cancer, colorectal cancer, prostate cancer and hepatocellular cancer, and diseases such as fibrosis and urinary tract infection. This study investigated the possibility of using analytical techniques such as Gas Chromatography-Ion Mobility Spectrometry (GC-IMS), Gas Chromatography-Time of Flight-Mass Spectrometry (GC-TOF-MS), and Electronic Noses (eNoses) for the identification of these biomarkers. The study findings demonstrate the presence of particular VOCs in urine samples. We found that GC-IMS and GC-TOF-MS was able to distinguish between some of the cancers with 100% sensitivity and 100% specificity. During this research, a total of 46 VOCs were identified as relevant for the identification of these cancer groups, with some VOCs being specific to each type of cancer. 13 VOCs with the highest concentration in urine samples of bladder cancer patients were identified in the course of this study. The electronic noses utilized in this research were the AlphaMOS FOX 4000 and PEN3 eNose. The AlphaMOS FOX 4000 was able to distinguish between some of the cancer groups with 100% sensitivity and 100% specificity. Although, PEN3 eNose did not exhibit 100% sensitivity in distinguishing between the different cancer groups, it still demonstrated high levels of sensitivity and specificity. Overall, the study contributes to the advancement of research on the detection of VOCs and provides insights into the potential for using analytical techniques for the detection of VOCs in urine samples. However, there are some limitations to these technologies such as some of them require specialized training and expertise to operate and interpret results accurately and the cost of some of these technologies can be high, making them less accessible. Another limitation is that the detection of VOCs can be affected by factors such as sample collection, handling, and storage, which can impact on the accuracy of results. The second aim of this research presents the development of an in-house device based on Photo Ionisation Detector (PID) for the detection of VOCs. The thesis focuses on the xxii evaluation of the performance of the developed PID+ based device for detecting ISB. Throughout this thesis, we have examined the electronics of PID+. Experiments were conducted to assess the performance of the PID+ at various flow rates, ISB (Isobutylene) gas concentrations, bias voltages of detector plates, and amplifier circuit gains. The results of the study demonstrate the feasibility and efficacy of the developed device in detecting ISB with high response. It was observed that increasing the flow rate of the sample gas has the potential to improve the response time of the detector. Additionally, it was observed that the concentration of the target VOCs, in this case ISB gas, was a crucial factor that affected the response of the detector, with higher concentrations resulting in higher sensitivities. However, it was noted that elevating either the flow rate or the concentration of the target VOCs beyond a certain threshold could lead to the saturation of the output. During the testing of the two versions of PID+, the performance of the PID+ was significantly improved. Nevertheless, more extensive research is required to verify the validity of the results of this study with respect to various VOCs

Technology 2002: The Third National Technology Transfer Conference and Exposition, volume 2

Proceedings from symposia of the Technology 2002 Conference and Exposition, December 1-3, 1992, Baltimore, MD. Volume 2 features 60 papers presented during 30 concurrent sessions

Proceedings of the European Conference on Agricultural Engineering AgEng2021

This proceedings book results from the AgEng2021 Agricultural Engineering Conference under auspices of the European Society of Agricultural Engineers, held in an online format based on the University of Évora, Portugal, from 4 to 8 July 2021. This book contains the full papers of a selection of abstracts that were the base for the oral presentations and posters presented at the conference. Presentations were distributed in eleven thematic areas: Artificial Intelligence, data processing and management; Automation, robotics and sensor technology; Circular Economy; Education and Rural development; Energy and bioenergy; Integrated and sustainable Farming systems; New application technologies and mechanisation; Post-harvest technologies; Smart farming / Precision agriculture; Soil, land and water engineering; Sustainable production in Farm buildings

NASA Tech Briefs, September 1995

A special focus for this issue is Sensors. Topics covered include : Electronic Components and Circuits; Electronic Systems; Physical Sciences; Materials; Life Sciences; Mechanics; Machinery; Fabrication Technology; and Mathematics and Information Sciences. A section of Laser Tech Briefs is included

Security in Distributed, Grid, Mobile, and Pervasive Computing

This book addresses the increasing demand to guarantee privacy, integrity, and availability of resources in networks and distributed systems. It first reviews security issues and challenges in content distribution networks, describes key agreement protocols based on the Diffie-Hellman key exchange and key management protocols for complex distributed systems like the Internet, and discusses securing design patterns for distributed systems. The next section focuses on security in mobile computing and wireless networks. After a section on grid computing security, the book presents an overview of security solutions for pervasive healthcare systems and surveys wireless sensor network security

Shortest Route at Dynamic Location with Node Combination-Dijkstra Algorithm

Abstract— Online transportation has become a basic requirement of the general public in support of all activities to go to work, school or vacation to the sights. Public transportation services compete to provide the best service so that consumers feel comfortable using the services offered, so that all activities are noticed, one of them is the search for the shortest route in picking the buyer or delivering to the destination. Node Combination method can minimize memory usage and this methode is more optimal when compared to A* and Ant Colony in the shortest route search like Dijkstra algorithm, but can’t store the history node that has been passed. Therefore, using node combination algorithm is very good in searching the shortest distance is not the shortest route. This paper is structured to modify the node combination algorithm to solve the problem of finding the shortest route at the dynamic location obtained from the transport fleet by displaying the nodes that have the shortest distance and will be implemented in the geographic information system in the form of map to facilitate the use of the system. Keywords— Shortest Path, Algorithm Dijkstra, Node Combination, Dynamic Location (key words