scholarly journals Building an IoT Platform Based on Service Containerisation

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6688
Author(s):  
Mário Antunes ◽  
Ana Rita Santiago ◽  
Sérgio Manso ◽  
Diogo Regateiro ◽  
João Paulo Barraca ◽  
...  
Keyword(s):  
Large Scale ◽  
Heterogeneous Data ◽  
Large Set ◽  
Smart Services ◽  
Real Time Processing ◽  
Iot Platform ◽  
Storage Solutions ◽  
Iot Platforms ◽  
And Storage

IoT platforms have become quite complex from a technical viewpoint, becoming the cornerstone for information sharing, storing, and indexing given the unprecedented scale of smart services being available by massive deployments of a large set of data-enabled devices. These platforms rely on structured formats that exploit standard technologies to deal with the gathered data, thus creating the need for carefully designed customised systems that can handle thousands of heterogeneous data sensors/actuators, multiple processing frameworks, and storage solutions. We present the SCoT2.0 platform, a generic-purpose IoT Platform that can acquire, process, and visualise data using methods adequate for both real-time processing and long-term Machine Learning (ML)-based analysis. Our goal is to develop a large-scale system that can be applied to multiple real-world scenarios and is potentially deployable on private clouds for multiple verticals. Our approach relies on extensive service containerisation, and we present the different design choices, technical challenges, and solutions found while building our own IoT platform. We validate this platform supporting two very distinct IoT projects (750 physical devices), and we analyse scaling issues within the platform components.

scholarly journals Geographic variation and temporal trends in ice phenology in Norwegian lakes during the period 1890–2020

2021 ◽  
Vol 15 (5) ◽  
pp. 2333-2356
Author(s):  
Jan Henning L'Abée-Lund ◽  
Leif Asbjørn Vøllestad ◽  
John Edward Brittain ◽  
Ånund Sigurd Kvambekk ◽  
Tord Solvang
Keyword(s):  
Large Scale ◽  
Regional Climate ◽  
Temporal Trends ◽  
Large Set ◽  
Time And Space ◽  
Nao Index ◽  
Break Up ◽  
Future Consequences ◽  
Ice Phenology

Abstract. Long-term observations of ice phenology in lakes are ideal for studying climatic variation in time and space. We used a large set of observations from 1890 to 2020 of the timing of freeze-up and break-up, and the length of ice-free season, for 101 Norwegian lakes to elucidate variation in ice phenology across time and space. The dataset of Norwegian lakes is unusual, covering considerable variation in elevation (4–1401 m a.s.l.) and climate (from oceanic to continental) within a substantial latitudinal and longitudinal gradient (58.2–69.9∘ N, 4.9–30.2∘ E). The average date of ice break-up occurred later in spring with increasing elevation, latitude and longitude. The average date of freeze-up and the length of the ice-free period decreased significantly with elevation and longitude. No correlation with distance from the ocean was detected, although the geographical gradients were related to regional climate due to adiabatic processes (elevation), radiation (latitude) and the degree of continentality (longitude). There was a significant lake surface area effect as small lakes froze up earlier due to less volume. There was also a significant trend that lakes were completely frozen over later in the autumn in recent years. After accounting for the effect of long-term trends in the large-scale North Atlantic Oscillation (NAO) index, a significant but weak trend over time for earlier ice break-up was detected. An analysis of different time periods revealed significant and accelerating trends for earlier break-up, later freeze-up and completely frozen lakes after 1991. Moreover, the trend for a longer ice-free period also accelerated during this period, although not significantly. An understanding of the relationship between ice phenology and geographical parameters is a prerequisite for predicting the potential future consequences of climate change on ice phenology. Changes in ice phenology will have consequences for the behaviour and life cycle dynamics of the aquatic biota.

scholarly journals Geographic variation and temporal trends in ice phenology in Norwegian lakes over a century

2021 ◽  
Author(s):  
Jan Henning L’Abée-Lund ◽  
Leif Asbjørn Vøllestad ◽  
John Edward Brittain ◽  
Ånund Sigurd Kvambekk ◽  
Tord Solvang
Keyword(s):  
Large Scale ◽  
Regional Climate ◽  
Temporal Trends ◽  
Large Set ◽  
Lake Area ◽  
Time And Space ◽  
Break Up ◽  
Future Consequences ◽  
Ice Phenology

Abstract. Long-term observations of ice phenology in lakes are ideal for studying climatic variation in time and space. We used a large set of observations from 1890 to 2020 of the timing of freeze-up and break-up, and the length of ice-free season, for 101 Norwegian lakes to elucidate variation in ice phenology across time and space. The dataset of Norwegian lakes is unusual, covering considerable variation in altitude (4–1401 m a.s.l.) and climate (from oceanic to continental) within a substantial latitudinal and longitudinal gradient (58.2–69.9° N; 4.9–30.2° E). The average date of ice break-up occurred later in spring with increasing altitude, latitude and longitude. The average date of freeze-up and the length of the ice-free period decreased significantly with altitude and longitude. No correlation with distance from the ocean was detected, although the geographical gradients were related to regional climate due to adiabatic processes (altitude), solar radian (latitude) and the degree of continentality (longitude). There was a significant lake area effect as small lakes froze-up earlier due to less volume. There was also a significant trend that lakes were completely frozen over later in the autumn in recent years. After accounting for the effect of long-term trends in the large-scale NAO index, a significant but weak trend over time for earlier ice break-up was detected. An analysis of different time periods revealed significant and accelerating trends for earlier break-up, later freeze-up and completely frozen lakes after 1991. Moreover, the trend for a longer ice-free period also accelerated during this period, although not significant. An understanding of the relationship between ice phenology and geographical parameters is a prerequisite for predicting the potential future consequences of climate change on ice phenology. Changes in ice phenology will have consequences for the behaviour and life cycle dynamics of the aquatic biota.

scholarly journals Large-Scale Software-Defined IoT Platform for Provisioning IoT Services on Demand

2020 ◽  
Vol 1 (1) ◽  
pp. 1-23
Author(s):  
Chau Thi Minh Nguyen ◽  
Doan B. Hoang
Keyword(s):  
Resource Sharing ◽  
Large Scale ◽  
Virtual Sensors ◽  
On Demand ◽  
Iot Platform ◽  
Proposed Model ◽  
Geographically Distributed ◽  
Iot Platforms ◽  
End To End ◽  
Iot Devices

Internet of things (IoT) has developed into an interconnected platform infrastructure for providing everyday services. Emerging end-to-end IoT services are being developed for local and multiple distributed regions. To realize the on-demand services in a timely and economically beneficial way, programmability and reusability are crucial for provisioning and reusing IoT resources. Existing IoT platforms are rigid and cannot be easily adapted to accommodate new services. This paper proposes a programmable large-scale software-defined IoT model for provisioning IoT services on demand with two levels of management and orchestration. One orchestrates services over geographically distributed clusters and the other orchestrates services over IoT devices within a cluster. The model entails the design of IoT-specific controllers, software-defined virtual sensors, and a new protocol for managing resource-constrained but enriched devices. The model allows provisioning and resource-sharing of end-to-end IoT services on demand. Implementation results demonstrate the feasibility and efficiency of the proposed model.

Towards a continuous formic acid synthesis: a two-step carbon dioxide hydrogenation in flow

2018 ◽  
Vol 3 (6) ◽  
pp. 912-919 ◽  
Author(s):  
Helena Reymond ◽  
Juan José Corral-Pérez ◽  
Atsushi Urakawa ◽  
Philipp Rudolf von Rohr
Keyword(s):  
Carbon Dioxide ◽  
Technological Innovation ◽  
Large Scale ◽  
Acid Synthesis ◽  
Low Carbon ◽  
Low Carbon Economy ◽  
Storage Solutions ◽  
Carbon Dioxide Hydrogenation ◽  
Carbon Economy

The need for long term, large-scale storage solutions to match surplus renewable energy with demand drives technological innovation towards a low-carbon economy.

Sequestration of CO2 in Geological Media: A Case Study of the Saline Reservoir Using Parallel Computing for Multi-Well Injection

2013 ◽  
Vol 284-287 ◽  
pp. 1468-1472 ◽  
Author(s):  
Chien Hao Tseng ◽  
Chia Chen Kuo ◽  
Wei Chih Su ◽  
Chuan Lin Lai
Keyword(s):  
Carbon Dioxide ◽  
Parallel Computing ◽  
Large Scale ◽  
Scale Model ◽  
Heterogeneous Model ◽  
Injection Model ◽  
And Storage ◽  
Saline Reservoir

Carbon-Dioxide Capture and Storage (CCS) in deep saline aquifers is one of the most feasible techniques for reducing anthropogenic emission of carbon dioxide (CO2). In this paper, a high-performance parallel computing is used to simulate the large-scale and long-term CO2 geologic storage in the saline aquifer (Sleipner Vest field in the Norwegian) based on the ECO2N module of the flow/transport simulator TOUGH2-MP, which is the parallel version of TOUGH2 implemented by the MPI. We have developed a complex three-dimensional heterogeneous model to study the spatial and temporal distribution and storage of CO2 injection into the sands of the Utsira formation, at the Sleipner Vest field in the Norway. Simulation results demonstrate that the high-speed parallel computing enhanced the capability on handling the large-scale model and the long-term studies. Furthermore, in order to avoid the problems of overpressure in the saline reservoir, the case study employs multi-well (ten-well) injection model, which has been proven to be able to reduce the reservoir pressure effectively when compared to the single-well injection model.

scholarly journals CO2 capture and storage by carbonation of biomass ashes

2021 ◽  
Vol 82 (3) ◽  
pp. 192-194
Author(s):  
Stanislav Vassilev ◽  
Christina Vassileva ◽  
Nadia Petrova
Keyword(s):  
Co2 Emissions ◽  
Biomass Production ◽  
Co2 Capture ◽  
Large Scale ◽  
Co2 Uptake ◽  
Short Term ◽  
Co2 Capture And Storage ◽  
And Storage ◽  
Biomass Ashes

The CO2 capture and storage by carbonation of eight short-term stored, long-term stored and weathered biomass ashes was studied. It was found that the CO2 uptake by BAs is up to 2–32% (mean 16%). Hence, the future large-scale sustainable biomass production and combustion can contribute greatly for reducing CO2 emissions in the atmosphere.

Evolution of Large-Scale Coronal Structures

1994 ◽  
Vol 144 ◽  
pp. 29-33
Author(s):  
P. Ambrož
Keyword(s):  
Magnetic Field ◽  
Field Line ◽  
Large Scale ◽  
Coronal Magnetic Field ◽  
Source Surface ◽  
Solar Cycles ◽  
Characteristic Relationship ◽  
The Magnetic Field ◽  
Coronal Structures

AbstractThe large-scale coronal structures observed during the sporadically visible solar eclipses were compared with the numerically extrapolated field-line structures of coronal magnetic field. A characteristic relationship between the observed structures of coronal plasma and the magnetic field line configurations was determined. The long-term evolution of large scale coronal structures inferred from photospheric magnetic observations in the course of 11- and 22-year solar cycles is described.Some known parameters, such as the source surface radius, or coronal rotation rate are discussed and actually interpreted. A relation between the large-scale photospheric magnetic field evolution and the coronal structure rearrangement is demonstrated.

Computer Analyses in Preventive Health Research

1967 ◽  
Vol 06 (01) ◽  
pp. 8-14 ◽  
Author(s):  
M. F. Collen
Keyword(s):  
Medical Research ◽  
Preventive Medicine ◽  
Health Research ◽  
Large Scale ◽  
Preventive Health ◽  
New Era ◽  
Large Numbers ◽  
Normal Test ◽  
Computer Analyses

The utilization of an automated multitest laboratory as a data acquisition center and of a computer for trie data processing and analysis permits large scale preventive medical research previously not feasible. Normal test values are easily generated for the particular population studied. Long-term epidemiological research on large numbers of persons becomes practical. It is our belief that the advent of automation and computers has introduced a new era of preventive medicine.

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