1,720,975 research outputs found
Developing the SHPIA 2.0 Architecture for the Raspberry Pi
No full textSensors and electronic devices has invaded out daily lives. These devices provides an
opportunity to collect invaluable data for research purposes. This research has the ability
to give us an insight into lifestyle illnesses and allow us to more accurately target decease
through preventative measures. The SHPIA architecture uses inexpensive Bluetooth
devices along with a raspberry pi micro-computer to provide researches with a versatile
platform for gathering this invaluable information.Sensors and electronic devices has invaded out daily lives. These devices provides an
opportunity to collect invaluable data for research purposes. This research has the ability
to give us an insight into lifestyle illnesses and allow us to more accurately target decease
through preventative measures. The SHPIA architecture uses inexpensive Bluetooth
devices along with a raspberry pi micro-computer to provide researches with a versatile
platform for gathering this invaluable information
Utvikling av kretskort og programvare for sensorsystem
No full textProsjektet har vært en videreutvikling av sensorseksjonen av en desentralisert ECU designet i
2022, brukt av ION racing. ION Racing er en studentorganisasjon som hvert år bygger en
racerbil. Dette sensorsystemet skal brukes i 2024 bilen.
Sensorsystemet består av tre kretskort og seks forskjellige sensorer. Disse kretskortene er to
sensorkort, og et forsyningskort. Sensorkortene skal ta inn signaler fra sensorene, og gjør dette
om til lesbar data. Begge sensorkortene vil ha en mikrokontroller. Signalene kommer blant annet
fra temperatur sensorer, trykk sensorer, og posisjonsensorer. All data er sendt over på CAN, og
sensorkortene vil også kommunisere med hverandre over CAN.
I tillegg til design og produksjon av systemet, er det også laget egen programvare for systemene.
Her er sensorkortene identisk delt inn for å behandle sensorene bak og framme i bilen. CAN
kommunikasjonen er også satt opp i egen programvare.
I designfasen ble det planlagt hvordan sensorkort oppsette skulle se ut. Dette gikk først ut på
å finne ut hvor mange sensorer som skulle implenteres. Riktig typer sensor som tåler arbeids-
omgivelsen sin, samt at den var pris-vennlig. Neste del var å designe kretskortene med en PCB
design software. Her var det å lete etter riktige komponenter og tegne skjematikktegning, samt
designe kretskortene. Etter dette startet prosjektfasen hvor sensorkortene ble produsert i Kina,
og forsyningskortet lokalt på UiS. Komponentene som ble kjøpt inn skal loddes på kretskortene
på egenhånd. Til slutt ble kretskortene og sensorene testet separat, før de testes med programvare.The project has been a further development of the sensor section of a decentralized ECU designed in
2022, used by ION racing. ION Racing is a student organization that builds a racing car every year. This sensor system will be used in the 2024 car.
The sensor system consists of three circuit boards and six different sensors. The circuit boards consist of two sensor cards, and a supply card. The sensor cards must take in signals from the sensors, and turn this
into readable data. Both sensor boards will have a microcontroller. The signals come, among other things
from temperature sensors, pressure sensors, and position sensors. All data is sent over CAN, and
the sensor cards will also communicate with each other via CAN.
In addition to the design and production of the system, separate software has also been created for the systems. Here, the sensor cards are identically divided in order to process the sensors at the back and front of the car. CAN communication is also set up in its own software.
In the design phase, it was planned how the sensor board layout should look. This was the first step
to find out how many sensors should be implemented. The right types of sensor that can withstand working
its surroundings, as well as that it was price-friendly. The next part was to design the circuit boards with a PCB
design software. Here it was looking for the right components and drawing a schematic drawing, as well
designing the circuit boards. After this, the project phase began where the sensor cards were produced in China, the supply card locally at UiS. The components that were purchased must be soldered onto the circuit boards on their own. Finally, the circuit boards and sensors were tested separately, before being tested with software
An IoT based Virtual Coaching System (VSC) for Assisting Activities of Daily Life
Full text linkNowadays aging of the population is becoming one of the main concerns of theworld. It is estimated that the number of people aged over 65 will increase from 461million to 2 billion in 2050. This substantial increment in the elderly population willhave significant consequences in the social and health care system. Therefore, in thecontext of Ambient Intelligence (AmI), the Ambient Assisted Living (AAL) has beenemerging as a new research area to address problems related to the aging of the population. AAL technologies based on embedded devices have demonstrated to be effectivein alleviating the social- and health-care issues related to the continuous growing of theaverage age of the population. Many smart applications, devices and systems have beendeveloped to monitor the health status of elderly, substitute them in the accomplishment of activities of the daily life (especially in presence of some impairment or disability),alert their caregivers in case of necessity and help them in recognizing risky situations.Such assistive technologies basically rely on the communication and interaction be-tween body sensors, smart environments and smart devices. However, in such contextless effort has been spent in designing smart solutions for empowering and supportingthe self-efficacy of people with neurodegenerative diseases and elderly in general. Thisthesis fills in the gap by presenting a low-cost, non intrusive, and ubiquitous VirtualCoaching System (VCS) to support people in the acquisition of new behaviors (e.g.,taking pills, drinking water, finding the right key, avoiding motor blocks) necessary tocope with needs derived from a change in their health status and a degradation of theircognitive capabilities as they age. VCS is based on the concept of extended mind intro-duced by Clark and Chalmers in 1998. They proposed the idea that objects within theenvironment function as a part of the mind. In my revisiting of the concept of extendedmind, the VCS is composed of a set of smart objects that exploit the Internet of Things(IoT) technology and machine learning-based algorithms, in order to identify the needsof the users and react accordingly. In particular, the system exploits smart tags to trans-form objects commonly used by people (e.g., pillbox, bottle of water, keys) into smartobjects, it monitors their usage according to their needs, and it incrementally guidesthem in the acquisition of new behaviors related to their needs. To implement VCS, thisthesis explores different research directions and challenges. First of all, it addresses thedefinition of a ubiquitous, non-invasive and low-cost indoor monitoring architecture byexploiting the IoT paradigm. Secondly, it deals with the necessity of developing solu-tions for implementing coaching actions and consequently monitoring human activitiesby analyzing the interaction between people and smart objects. Finally, it focuses on the design of low-cost localization systems for indoor environment, since knowing theposition of a person provides VCS with essential information to acquire information onperformed activities and to prevent risky situations. In the end, the outcomes of theseresearch directions have been integrated into a healthcare application scenario to imple-ment a wearable system that prevents freezing of gait in people affected by Parkinson’sDisease
A freely available system for human activity recognition based on a low-cost body area network
No full textOver the last decade, Human Activity Recognition (HAR) has become a vibrant research field in various applications scenarios, ranging from sports, healthcare and well-being to smart cities, smart homes, and industry, mainly due to the widespread availability of devices as smartphones, smartwatches, and wearables. A key ingredient for sophisticated HAR systems is represented by the availability of high-quality datasets. These are generally gathered by dedicated Body Area Networks (BANs), and further elaborated through machine learning and deep learning algorithms. Thus, the BAN design plays a central role in such a context, where the main challenges are related to easiness of use, costs and energy constraints of their components. In this context, our paper presents a highly configurable HAR system, based on a low-cost and easy-to-use BAN. The system includes a CNN-based algorithm validated over a dataset, collected through the proposed BAN, on 12 persons performing 7 different human activities
Wearable Sensors for Supporting Diagnosis, Prognosis, and Monitoring of Neurodegenerative Diseases
No full textThe incidence of neurodegenerative disorders (NDs) is increasing in an aging population [...
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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