scholarly journals SensIoT: An Extensible and General Internet of Things Monitoring Framework

2019 ◽  
Vol 2019 ◽  
pp. 1-15 ◽  
Author(s):  
Marcel Großmann ◽  
Steffen Illig ◽  
Cornelius L. Matějka
Keyword(s):  
Internet Of Things ◽  
Performance Management ◽  
Current Data ◽  
Raspberry Pi ◽  
Service Orchestration ◽  
Monitoring Framework ◽  
Set Up ◽  
The University ◽  
Sensor Monitoring ◽  
Microservice Architecture

SensIoT is an open-source sensor monitoring framework for the Internet of Things, which utilizes proven technologies to enable easy deployment and maintenance while staying flexible and scalable. It closes the gap between highly specialized and, therefore, inflexible sensor monitoring solutions, which are only adjusted to a specific context, and the development of every other solution from scratch. Our framework fits a variety of use cases by providing an easy to set up, extensible, and affordable solution. The development is based on our former published framework MonTreAL, whose goal is to offer an environmental monitoring solution for libraries to guarantee cultural heritage to be conserved and prevented from serious damage, for example, from mold formation in closed stocks. It is a solution with virtualized microservices delivered by a famous container technology called Docker that is solely executable on one or more single board computers like the Raspberry Pi by providing automatic scaling and resilience of all sensor services. For SensIoT we extended the capability of MonTreAL to integrate commodity servers into the cluster to enhance the ease of setup and maintainability on already existing infrastructures. Therefore, we followed the paradigm to distribute microservices on small computing nodes first, thus not utilizing well-known cloud computing concepts. To achieve resilience and fault tolerance we also based our system on a microservice architecture, where the service orchestration is solved by Docker Swarm. As proof of concept, we are able to present our current data collection of the University of Bamberg’s Library that runs our system since autumn 2017. To make our system even better we are working on the integration of other sensor types and better performance management of SD-cards in Raspberry Pis.

scholarly journals A Machine Learning and Internet of Things-Based Online Fault Diagnosis Method for Photovoltaic Arrays

2021 ◽  
Vol 13 (23) ◽  
pp. 13203
Author(s):  
Adel Mellit ◽  
Omar Herrak ◽  
Catalina Rus Casas ◽  
Alessandro Massi Pavan
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Good Accuracy ◽  
Raspberry Pi ◽  
Small Scale ◽  
Pv System ◽  
Pv Module ◽  
Photovoltaic Arrays ◽  
Diagnosis Method ◽  
The University

In this paper, a novel fault detection and classification method for photovoltaic (PV) arrays is introduced. The method has been developed using a dataset of voltage and current measurements (I–V curves) which were collected from a small-scale PV system at the RELab, the University of Jijel (Algeria). Two different machine learning-based algorithms have been used in order to detect and classify the faults. An Internet of Things-based application has been used in order to send data to the cloud, while the machine learning codes have been run on a Raspberry Pi 4. A webpage which shows the results and informs the user about the state of the PV array has also been developed. The results show the ability and the feasibility of the developed method, which detects and classifies a number of faults and anomalies (e.g., the accumulation of dust on the PV module surface, permanent shading, the disconnection of a PV module, and the presence of a short-circuited bypass diode in a PV module) with a pretty good accuracy (98% for detection and 96% classification).

scholarly journals A Review on AWS IoT for Automation and Monitoring STP System

2020 ◽  
pp. 246-249
Author(s):  
Manjusha Y ◽  
Prof. Sharada Kori
Keyword(s):  
Resource Management ◽  
Internet Of Things ◽  
Web Services ◽  
Raspberry Pi ◽  
Cloud Processing ◽  
Centralized Management ◽  
Custom Made ◽  
Full Solution ◽  
Iot Devices ◽  
Set Up

In this paper, cloud-based services aimed for the connectivity, monitoring, and management of the IoT devices are presented. To set up a network with a large number of devices in the constrained environment can be a challenge. Also, collecting, storing and analyzing data generated from sensors attached to the devices most often requires developing custom-made applications which imply time and cost consumption. Several cloud providers are offering IoT services that unite needed features into full solution offering connectivity between devices and the cloud, processing of data sent from devices and interaction with connected devices through the application. One of them is AWS IoT (Amazon Internet of Things) which is fully scalable, reliable and simple to use. This platform can collect data from a large number of different devices and connect them to endpoints for other tools, allowing a developer to tie received data into the independent application. Other aspects, like security, resource management, integration and centralized management are also covered. In this paper, we will evaluate the performance of the AWS IoT web services by connecting small, single board computers, like Raspberry Pi through different scenarios.

Formation and Development of the Pre-Professional Training System of Foreign Medical Applicants in Ukraine (Historical and Educational Aspect)

2014 ◽  
Vol 4 (3) ◽  
pp. 95-98
Author(s):  
Iana Proskurkina
Keyword(s):  
Foreign Students ◽  
Professional Training ◽  
Training System ◽  
Further Education ◽  
Effective System ◽  
History Of ◽  
Set Up ◽  
The University ◽  
History Of Formation ◽  
Educational Aspect

Abstract The growing number of foreign applicants looking forward to getting education in Ukrainian medical universities makes us find the ways how to improve and make effective the pre-professional training system of foreign medical applicants for further education. The article deals with the issues of the history of formation and development of the preprofessional training system of foreign medical applicants in Ukraine. On the ground of the electronic databases of the official websites of higher educational establishments, the data on years of opening first offices of the dean, departments and preparatory faculties for foreign medical applicants in Ukrainian medical universities are analyzed and systematized. Also the data on the setting up preparatory faculties at other universities who carry out licensed training of foreign students of the medical profile are presented. The data on the operating and management of such institutions in the system of the University administration are generalized. It’s revealed that during the years of its functioning the pre-professional training has changed, in particular the system was commercialized and the institutions involved in training foreign applicants have been reorganized. The modern trends in teaching foreign medical students at the preparatory faculties of the Ukrainian medical universities are displayed. Based on the analysis of the data it is concluded that the system of the pre-professional training of foreign medical applicants was set up in the 50s-60s years of the twentieth century. During this time, some positive experience in the preparation of future international medical specialists has been gained. The system of the pre-professional training of foreign medical applicants has been comprehensively improved and an effective system of managing foreign medical applicants has been created.

Set up and management of a Data Science faculty at Shiga University

Impact ◽  
2019 ◽  
Vol 2019 (10) ◽  
pp. 18-20
Author(s):  
Akimichi Takemura
Keyword(s):  
Data Science ◽  
Science Faculty ◽  
Knowledge And Skills ◽  
International Trends ◽  
Leading Position ◽  
Global Understanding ◽  
Set Up ◽  
The University ◽  
Do So ◽  
Undergraduate Class

Shiga University opened the first data science faculty in Japan in April 2017. Beginning with an undergraduate class of 100 students, the Department has since established a Master's degree programme with 20 students in each annual intake. This is the first data science faculty in Japan and the University intends to retain this leading position, the Department is well-placed to do so. The faculty closely monitors international trends concerning data science and Artificial Intelligence (AI) and adapt its education and research accordingly. The genesis of this department marks a change in Japan's attitudes towards dealing with information and reflects a wider, global understanding of the need for further research in this area. Shiga University's Data Science department seeks to produce well-trained data scientists who demonstrate a good balance of knowledge and skills in each of the three key areas of data science.

scholarly journals Application of intelligent orienteering based on Internet of things

2020 ◽  
Vol 2020 (1) ◽  
Author(s):  
Donghui Zhang ◽  
Ruijie Liu
Keyword(s):  
Internet Of Things ◽  
Network Architecture ◽  
Emergency Services ◽  
Simulation Experiment ◽  
Experimental Studies ◽  
Signal Stability ◽  
Anchor Nodes ◽  
Set Up ◽  
The Relationship ◽  
The Internet Of Things

Abstract Orienteering has gradually changed from a professional sport to a civilian sport. Especially in recent years, orienteering has been widely popularized. Many colleges and universities in China have also set up this course. With the improvement of people’s living conditions, orienteering has really become a leisure sport in modern people’s life. The reduced difficulty of sports enables more people to participate, but it also exposes a series of problems. As the existing positioning technology is relatively backward, the progress in personnel tracking, emergency services, and other aspects is slow. To solve these problems, a new intelligent orienteering application system is developed based on the Internet of things. ZigBee network architecture is adopted in the system. ZigBee is the mainstream scheme in the current wireless sensor network technology, which has many advantages such as convenient carrying, low power consumption, and signal stability. Due to the complex communication environment in mobile signal, the collected information is processed by signal amplification and signal anti-interference technology. By adding anti-interference devices, video isolators and other devices, the signal is guaranteed to the maximum extent. In order to verify the actual effect of this system, through a number of experimental studies including the relationship between error and traffic radius and the relationship between coverage and the number of anchor nodes, the data shows that the scheme studied in this paper has a greater improvement in comprehensive performance than the traditional scheme, significantly improving the accuracy and coverage. Especially the coverage is close to 100% in the simulation experiment. This research has achieved good results and can be widely used in orienteering training and competition.

scholarly journals On Blockchain-Based Cross-Service Communication and Resource Orchestration on Edge Clouds

Informatics ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 13
Author(s):  
Konstantinos Papadakis-Vlachopapadopoulos ◽  
Ioannis Dimolitsas ◽  
Dimitrios Dechouniotis ◽  
Eirini Eleni Tsiropoulou ◽  
Ioanna Roussaki ◽  
...  
Keyword(s):  
Network Function Virtualization ◽  
Network Resources ◽  
Service Orchestration ◽  
Network Slicing ◽  
Network Function ◽  
Resource Orchestration ◽  
Full Capacity ◽  
Cloud Datacenter ◽  
Set Up ◽  
The Internet Of Things

With the advent of 5G verticals and the Internet of Things paradigm, Edge Computing has emerged as the most dominant service delivery architecture, placing augmented computing resources in the proximity of end users. The resource orchestration of edge clouds relies on the concept of network slicing, which provides logically isolated computing and network resources. However, though there is significant progress on the automation of the resource orchestration within a single cloud or edge cloud datacenter, the orchestration of multi-domain infrastructure or multi-administrative domain is still an open challenge. Towards exploiting the network service marketplace at its full capacity, while being aligned with ETSI Network Function Virtualization architecture, this article proposes a novel Blockchain-based service orchestrator that leverages the automation capabilities of smart contracts to establish cross-service communication between network slices of different tenants. In particular, we introduce a multi-tier architecture of a Blockchain-based network marketplace, and design the lifecycle of the cross-service orchestration. For the evaluation of the proposed approach, we set up cross-service communication in an edge cloud and we demonstrate that the orchestration overhead is less than other cross-service solutions.

scholarly journals Development of a Smartphone-Based University Library Navigation and Information Service Employing Wi-Fi Location Fingerprinting

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 432
Author(s):  
Guenther Retscher ◽  
Alexander Leb
Keyword(s):  
Performance Improvement ◽  
Low Cost ◽  
Information Service ◽  
Raspberry Pi ◽  
University Library ◽  
Stop And Go ◽  
Promising Solution ◽  
Localization Performance ◽  
The University ◽  
Suitable Location

A guidance and information service for a University library based on Wi-Fi signals using fingerprinting as chosen localization method is under development at TU Wien. After a thorough survey of suitable location technologies for the application it was decided to employ mainly Wi-Fi for localization. For that purpose, the availability, performance, and usability of Wi-Fi in selected areas of the library are analyzed in a first step. These tasks include the measurement of Wi-Fi received signal strengths (RSS) of the visible access points (APs) in different areas. The measurements were carried out in different modes, such as static, kinematic and in stop-and-go mode, with six different smartphones. A dependence on the positioning and tracking modes is seen in the tests. Kinematic measurements pose much greater challenges and depend significantly on the duration of a single Wi-Fi scan. For the smartphones, the scan durations differed in the range of 2.4 to 4.1 s resulting in different accuracies for kinematic positioning, as fewer measurements along the trajectories are available for a device with longer scan duration. The investigations indicated also that the achievable localization performance is only on the few meter level due to the small number of APs of the University own Wi-Fi network deployed in the library. A promising solution for performance improvement is the foreseen usage of low-cost Raspberry Pi units serving as Wi-Fi transmitter and receiver.

The Unfinished Sexual Revolution

1971 ◽  
Vol 3 (4) ◽  
pp. 473-492 ◽  
Author(s):  
Laurie Taylor
Keyword(s):  
Sexual Revolution ◽  
Editorial Note ◽  
Memorial Lecture ◽  
Human Welfare ◽  
The World ◽  
Control Clinic ◽  
History Of ◽  
Set Up ◽  
The Uk ◽  
The University

Editorial note. March 17th, 1971 was the fiftieth anniversary of the opening by Marie Stopes of her birth control clinic in Holloway, London, the first of its kind in the UK and possibly in the world. In recognition of this notable event, the Board of the Marie Stopes Memorial Foundation, in conjunction with the University of York, has established a Marie Stopes Memorial Lecture to be given annually for a term of years. The first of the series was delivered on 12th March in the Department of Sociology, University of York, by Mr Laurie Taylor of that department. In introducing the speaker, Dr G. C. L. Bertram, the Chairman, emphasized the great contribution made by Marie Stopes to human welfare and gave a brief history of the clinic, which was soon moved to Whitfield Street. On Marie Stopes' death in 1958 the Memorial Foundation was set up to manage the clinic, still in Whitfield Street, and as a working monument to a great women.Mr Taylor's script is printed below as delivered and it will be seen that the lecture was a notable one. Not only that, but it was delivered with the verve of a Shakespearean actor and the members of the large and appreciative audience will not readily forget the occasion.

Wounds Week 2: 1–5 February 2021

2021 ◽  
Vol 30 (3) ◽  
pp. 213-221
Keyword(s):  
Wound Care ◽  
Care Community ◽  
On Demand ◽  
Registration Process ◽  
Question And Answer ◽  
To Come ◽  
Set Up ◽  
The University ◽  
Difficult Times

On 1 February, Journal of Wound Care and the University of Huddersfield streamed the first of the live webinars on their Wounds Week channel ( www.woundsweek.com ). All sessions are now available to watch on-demand. With highly innovative topics, Wounds Week 2 gives a chance for the wound care community to come together in these difficult times and engage in key education, free of charge. The sessions had live question and answer sessions; participants asked questions of the experts, making them a key part of the event. The registration process takes just a minute. There's nothing to install or set up—simply register and fill out your details. Follow on twitter at #WoundsWeek

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