scholarly journals A Collaborative Pilot Platform for Data Annotation and Enrichment in Viticulture

Information ◽  
2019 ◽  
Vol 10 (4) ◽  
pp. 149 ◽  
Author(s):  
Phivos Mylonas ◽  
Yorghos Voutos ◽  
Anastasia Sofou

It took some time indeed, but the research evolution and transformations that occurred in the smart agriculture field over the recent years tend to constitute the latter as the main topic of interest in the so-called Internet of Things (IoT) domain. Undoubtedly, our era is characterized by the mass production of huge amounts of data, information and content deriving from many different sources, mostly IoT devices and sensors, but also from environmentalists, agronomists, winemakers, or plain farmers and interested stakeholders themselves. Being an emerging field, only a small part of this rich content has been aggregated so far in digital platforms that serve as cross-domain hubs. The latter offer typically limited usability and accessibility of the actual content itself due to problems dealing with insufficient data and metadata availability, as well as their quality. Over our recent involvement within a precision viticulture environment and in an effort to make the notion of smart agriculture in the winery domain more accessible to and reusable from the general public, we introduce herein the model of an aggregation platform that provides enhanced services and enables human-computer collaboration for agricultural data annotations and enrichment. In principle, the proposed architecture goes beyond existing digital content aggregation platforms by advancing digital data through the combination of artificial intelligence automation and creative user engagement, thus facilitating its accessibility, visibility, and re-use. In particular, by using image and free text analysis methodologies for automatic metadata enrichment, in accordance to the human expertise for enrichment, it offers a cornerstone for future researchers focusing on improving the quality of digital agricultural information analysis and its presentation, thus establishing new ways for its efficient exploitation in a larger scale with benefits both for the agricultural and the consumer domains.

Sensors ◽  
2019 ◽  
Vol 19 (17) ◽  
pp. 3704 ◽  
Author(s):  
Mario Marchese ◽  
Aya Moheddine ◽  
Fabio Patrone

The Fifth Generation of Mobile Communications (5G) will lead to the growth of use cases demanding higher capacity and a enhanced data rate, a lower latency, and a more flexible and scalable network able to offer better user Quality of Experience (QoE). The Internet of Things (IoT) is one of these use cases. It has been spreading in the recent past few years, and it covers a wider range of possible application scenarios, such as smart city, smart factory, and smart agriculture, among many others. However, the limitations of the terrestrial network hinder the deployment of IoT devices and services. Besides, the existence of a plethora of different solutions (short vs. long range, commercialized vs. standardized, etc.), each of them based on different communication protocols and, in some cases, on different access infrastructures, makes the integration among them and with the upcoming 5G infrastructure more difficult. This paper discusses the huge set of IoT solutions available or still under standardization that will need to be integrated in the 5G framework. UAVs and satellites will be proposed as possible solutions to ease this integration, overcoming the limitations of the terrestrial infrastructure, such as the limited covered areas and the densification of the number of IoT devices per square kilometer.


Information ◽  
2021 ◽  
Vol 12 (2) ◽  
pp. 64
Author(s):  
Eirini Kaldeli ◽  
Orfeas Menis-Mastromichalakis ◽  
Spyros Bekiaris ◽  
Maria Ralli ◽  
Vassilis Tzouvaras ◽  
...  

The lack of granular and rich descriptive metadata highly affects the discoverability and usability of cultural heritage collections aggregated and served through digital platforms, such as Europeana, thus compromising the user experience. In this context, metadata enrichment services through automated analysis and feature extraction along with crowdsourcing annotation services can offer a great opportunity for improving the metadata quality of digital cultural content in a scalable way, while at the same time engaging different user communities and raising awareness about cultural heritage assets. To address this need, we propose the CrowdHeritage open end-to-end enrichment and crowdsourcing ecosystem, which supports an end-to-end workflow for the improvement of cultural heritage metadata by employing crowdsourcing and by combining machine and human intelligence to serve the particular requirements of the cultural heritage domain. The proposed solution repurposes, extends, and combines in an innovative way general-purpose state-of-the-art AI tools, semantic technologies, and aggregation mechanisms with a novel crowdsourcing platform, so as to support seamless enrichment workflows for improving the quality of CH metadata in a scalable, cost-effective, and amusing way.


Author(s):  
Patrícia Rossini ◽  
Jennifer Stromer-Galley

Political conversation is at the heart of democratic societies, and it is an important precursor of political engagement. As society has become intertwined with the communication infrastructure of the Internet, we need to understand its uses and the implications of those uses for democracy. This chapter provides an overview of the core topics of scholarly concern around online citizen deliberation, focusing on three key areas of research: the standards of quality of communication and the normative stance on citizen deliberation online; the impact and importance of digital platforms in structuring political talk; and the differences between formal and informal political talk spaces. After providing a critical review of these three major areas of research, we outline directions for future research on online citizen deliberation.


2021 ◽  
pp. 1-5
Author(s):  
Trine HØrmann Thomsen ◽  
Susanna M. Wallerstedt ◽  
Kristian Winge ◽  
Filip Bergquist

People with Parkinson’s disease (PwP) have been suggested to be more vulnerable to negative psychological and psycho-social effects of the COVID-19 pandemic. Our aim was to assess the potential impact of the COVID-19 pandemic in PwP. A Danish/Swedish cohort of 67 PwP was analysed. Health-related quality of life (HRQL), depression, anxiety, apathy, sleep and motor symptom-scores were included in the analysis. Additionally, the Danish participants provided free-text descriptions of life during the pandemic. Overall, the participants reported significantly better HRQL during the COVID-19 period compared with before. Reduced social pressure may be part of the explanation. Despite worsened anxiety, night sleep improved.


Rheumatology ◽  
2021 ◽  
Vol 60 (Supplement_1) ◽  
Author(s):  
Pritesh Mistry ◽  
James Bateman ◽  
Helen Foss ◽  
Muhamad Jasim

Abstract Background/Aims  Medical students need to gain patient contact to develop their skills in history taking and examinations. In year three, undergraduate students typically rotate across various hospitals and specialties and are expected to have dedicated rheumatology exposure for history and examination competencies. Rheumatology as an out-patient specialty can limit opportunities for medical students to have broad exposure to rheumatological conditions. Methods  In January 2018, we designed an annual rheumatology half-day teaching workshop (‘Rheumatology Carousel’) using a combination of lecture-based teaching and small group based guided clinical history and examination stations, aimed at third-year medical students from the University of Birmingham. This covered key presentations in rheumatology: axial spondyloarthropathy, rheumatoid arthritis, systemic sclerosis (connective tissue disease), osteoarthritis, and vasculitis. Each station required a Clinical Teaching Fellow or Rheumatology ST trainee, overseen by one consultant facilitator. We designed patient proforma’s incorporating consent, demographics, key clinical history, therapy, and examination findings. We produced a written patient guide, and consultants invited appropriate patients to volunteer for the day. We designed a one-hour lecture-based tutorial. A lesson plan and schedule were created outlining faculty requirements; including time, roles, and faculty numbers. We invited five to six patients to each session, with a plan of four to five focussed examinations. We designed the carousel to accommodate up to 40 students, split into two groups running over a day. Focussed examinations involved students in groups of four, with each student being a lead examiner in at least one station, each station lasting 20 minutes. Best practice examination techniques for each condition were assessed and emphasised. Following a debrief, we collected feedback from students, faculty, and patients (online and written feedback), using Likert scores for teaching content, and quality of the session delivery. Results  The carousel ran in February 2018, 19, and 20. The sessions were positively evaluated by students, faculty, and patients. In total, 93 students attended, 89/93 completed feedback. Satisfaction scores (mean; SD; range) were high (1-strongly disagree, 5-strongly agree) for content (4.8; 0.49, range 3-5) and quality of delivery (4.7; 0.54; 3-5). All patients who participated volunteered to return for future teaching sessions, with several patients attending all three years. Free text feedback indicated students valued structured exposure to core conditions and called for more sessions of this nature. Conclusion  This sustainable reproducible intervention ensures students have structured exposure to important rheumatological conditions. The methodology allows reproducible sessions that are positively evaluated despite rotating clinical teaching staff. We have made all our teaching materials, logistical plan, and scheduling tools available as open access resources under a Creative Commons license for free re-use and adaptation by any healthcare professional, via a web link. We plan to record an electronic version to distribute post the COVID-19 pandemic. Disclosure  P. Mistry: None. J. Bateman: None. H. Foss: None. M. Jasim: None.


1999 ◽  
Vol 29 ◽  
pp. 231-238 ◽  
Author(s):  
U. Nixdorf ◽  
D. Steinhage ◽  
U. Meyer ◽  
L. Hempel ◽  
M. Jenett ◽  
...  

AbstractSince 1994 the Alfred Wegener Institute (AWI) has operated an airborne radio-echo sounding system for remote-sensing studies of the polar ice caps in Antarctica and in Greenland. It is used to map ice thicknesses and internal layernigs of glaciers, ice sheets and ice shelves, and is capable of penetrating ice thicknesses of up to 4 km. The system was designed and built by AWI in cooperation with Aerodata Flugmeßtechnik GmbH, Technische Umversitat Hamburg-Harburg and the Deutsches Zentrum fur Luft- und Raumfahrt e.V. The system uses state-of-the-art techniques, and results in high vertical (5 m) as well as along-track (3.25 m) resolution. The radar signal is a 150 MHz burst with a duration of 60 or 600 ns. The peak power is 1.6 kW, and the system sensitivity is 190 dB. The short backfire principle has been adopted and optimized for antennae used on Polar2, a Dormer 228-100 aircraft, resulting in an antenna gain of 14 dB each. Digital data recording allows further processing. The quality of the recorded data can be monitored on screen and as online analogue plots during the flight.


2020 ◽  
pp. bmjspcare-2020-00239
Author(s):  
Sandra Kurkowski ◽  
Johannes Radon ◽  
Annika R Vogt ◽  
Martin Weber ◽  
Stephanie Stiel ◽  
...  

BackgroundPalliative care strives to improve quality of life for patients with incurable diseases. This approach includes adequate support of the patients’ loved ones. Consequently, loved ones have personal experiences of providing end-of-life care for their next. This is a resource for information and may help to investigate the loved ones’ perspectives on need for improvements.AimTo identify further quality aspects considered important by loved ones to improve the quality of care at the end of life as an addition to quantitative results from the Care of the Dying Evaluation for the German-speaking area (CODE-GER) questionnaire.DesignWithin the validation study of the questionnaire ‘Care of the Dying Evaluation’ (CODETM) GER, loved ones were asked to comment (free text) in parallel on each item of the CODE-GER. These free-text notes were analysed with the qualitative content analysis method by Philipp Mayring.Setting/participantsLoved ones of patients (n=237), who had died an expected death in two university hospitals (palliative and non-palliative care units) during the period from April 2016 to March 2017.Results993 relevant paragraphs were extracted out of 1261 free-text notes. For loved ones, important aspects of quality of care are information/communication, respect of the patient’s and/or loved one’s will, involvement in decision-making at the end of life (patient’s volition) and having the possibility to say goodbye.ConclusionsIt is important for loved ones to be taken seriously in their sorrows, to be informed, that the caregivers respect the patients’ will and to be emotionally supported.Trial registration numberThis study was registered at the German Clinical Trials Register (DRKS00013916).


2021 ◽  
Author(s):  
Hamed Hasibi ◽  
Saeed Sedighian Kashi

Fog computing brings cloud capabilities closer to the Internet of Things (IoT) devices. IoT devices generate a tremendous amount of stream data towards the cloud via hierarchical fog nodes. To process data streams, many Stream Processing Engines (SPEs) have been developed. Without the fog layer, the stream query processing executes on the cloud, which forwards much traffic toward the cloud. When a hierarchical fog layer is available, a complex query can be divided into simple queries to run on fog nodes by using distributed stream processing. In this paper, we propose an approach to assign stream queries to fog nodes using container technology. We name this approach Stream Queries Placement in Fog (SQPF). Our goal is to minimize end-to-end delay to achieve a better quality of service. At first, in the emulation step, we make docker container instances from SPEs and evaluate their processing delay and throughput under different resource configurations and queries with varying input rates. Then in the placement step, we assign queries among fog nodes by using a genetic algorithm. The practical approach used in SQPF achieves a near-the-best assignment based on the lowest application deadline in real scenarios, and evaluation results are evidence of this goal.


MQTT protocol is publishing-subscribing model for IoT communication. In case of Quality of Services analysis, it is important to check the request and responses between publisher and subscriber. Any threat in communication channel is mostly leads to delay in operation. Hence, if we able to identify the delay parameter, we can suggest by means of QoS that there is a immediate need of security check for IoT system. As many IoT devices performed in unchecked, complicated, and often aggressive surroundings, safe-guarding IoT units present many different challenges. The key purpose for support quality degradation of IoT device interaction can be harmful attacks. Plenty of gadgets are often susceptible to port attacks/botnets hits, such as network attack events, which usually assessed by performing QoS Analysis. To start with factors affecting Quality of Services (QoS), in this paper we developed QoS evaluation algorithm “MQoS” for MQTT protocol and considered QoS-0 as an evaluation parameter. This paper refers the threat model which represents the flow of threats for proposed case study and can help to identify QoS by evaluating the possible communication threats. End–to-end device communication requests and responses are needed to be evaluated for large systems to get the actual QoS parameters for that system. For this reason the actual QoS tests will be conducted for third party applications.In this paper we presented results of MQTTv311 simulation for cooling sensor system.


Author(s):  
Syed Mustafa Ali ◽  
Farah Naureen ◽  
Arif Noor ◽  
Maged Kamel N. Boulos ◽  
Javariya Aamir ◽  
...  

Background Increasingly, healthcare organizations are using technology for the efficient management of data. The aim of this study was to compare the data quality of digital records with the quality of the corresponding paper-based records by using data quality assessment framework. Methodology We conducted a desk review of paper-based and digital records over the study duration from April 2016 to July 2016 at six enrolled TB clinics. We input all data fields of the patient treatment (TB01) card into a spreadsheet-based template to undertake a field-to-field comparison of the shared fields between TB01 and digital data. Findings A total of 117 TB01 cards were prepared at six enrolled sites, whereas just 50% of the records (n=59; 59 out of 117 TB01 cards) were digitized. There were 1,239 comparable data fields, out of which 65% (n=803) were correctly matched between paper based and digital records. However, 35% of the data fields (n=436) had anomalies, either in paper-based records or in digital records. 1.9 data quality issues were calculated per digital patient record, whereas it was 2.1 issues per record for paper-based record. Based on the analysis of valid data quality issues, it was found that there were more data quality issues in paper-based records (n=123) than in digital records (n=110). Conclusion There were fewer data quality issues in digital records as compared to the corresponding paper-based records. Greater use of mobile data capture and continued use of the data quality assessment framework can deliver more meaningful information for decision making.


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