The Elastic Internet of Things - A platform for self-integrating and self-adaptive IoT-systems with support for embedded adaptive hardware

Burger, Alwyn; Cichiwskyj, Christopher; Schmeißer, Stephan; Schiele, Gregor

doi:10.1016/j.future.2020.07.035

Cited by 23 publications

(9 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This is more than a theoretical possibility. We already successfully applied our Temporal Accelerator approach to deploy a Convolutional Neural Network (CNN) that detects anomalies in ECG-data [Cichiwskyj et al 2020]. We were able to split and execute the CNN as a Temporal Accelerator using two reconfigurations on an XC7S15 at a lower overall energy consumption compared to a "classical" deployment on a XC7S25.…”

Section: Discussionmentioning

confidence: 99%

“…Using the Elastic Node in a networked setting and communicating with other devices, such as in [Burger et al 2020], introduces the possibility for the Elastic Node to receive offloading tasks from other devices. In such a scenario, we will not be able to efficient reconfiguration aware schedules at design time, but will need a dynamic runtime scheduler.…”

Section: Schedulingmentioning

confidence: 99%

See 1 more Smart Citation

Temporal Accelerators: Unleashing the Potential of Embedded FPGAs

Cichiwskyj¹,

Schiele²

2021

jucs

Self Cite

View full text Add to dashboard Cite

When the complexity of a problem rises, its solution requires more hardware resources. A usual way to solve this is to use larger processors and add more memory. When using Field Programmable Gate-Arrays (FPGAs), which can instantiate arbitrary circuit designs, a larger, more costly and power hungry chip is used. In this paper we propose a different approach, namely to split the problem into a graph of interdependent smaller tasks and to reconfigure a small FPGA during runtime to execute each of these tasks efficiently sequentially. This can result in cheaper and more energy efficient systems that can execute very complex problems locally. We present a basic analytical model, evaluate its accuracy and discuss initial insight from it.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Schedulingmentioning

confidence: 99%

Temporal Accelerators: Unleashing the Potential of Embedded FPGAs

Cichiwskyj¹,

Schiele²

2021

jucs

Self Cite

View full text Add to dashboard Cite

show abstract

“…These systems rely on data and process synchronization systems that connect all means of transport within the container terminal, ranging from diesel trucks to autonomous electrical trucks and various port cranes (QC, and YC) [ 39 , 40 ]. Management of these processes is performed using smart software solutions with smart Edge-Cloud infrastructures [ 41 ]. IIoT sensors with efficient power management solutions work to receive data from shipping containers, detecting their position, movement trends, weather parameters, inner cargo dynamics, etc., [ 42 ], with the aim of minimizing delays caused by any disruption and disturbances.…”

Section: Review Of Recent Advancementsmentioning

confidence: 99%

Detecting Shipping Container Impacts with Vertical Cell Guides inside Container Ships during Handling Operations

Jakovlev

Eglynas

Vozňák

et al. 2022

Sensors

View full text Add to dashboard Cite

Due to the mechanical nature of container handling operations, as well as natural factors, container and handling infrastructure suffers various types of damage during use, especially within the tight and enclosed environments of a ship’s hull. In this operational environment, it is critical to detect any sort of physical impacts between the vertical cell guides of the ship’s hull and the container. Currently, an inspection of impacts and evaluation of any consequences is performed manually, via visual inspection processes. This process is time-consuming and relies on the technical expertise of the personnel involved. In this paper, we propose a five-step impact-detection methodology (IDM), intended to detect only the most significant impact events based on acceleration data. We conducted real measurements in a container terminal using a sensory device placed on the spreader of the quay crane. The proposed solution identified an average of 12.8 container impacts with the vertical cell guides during common handling operations. In addition, the results indicate that the presented IDM can be used to recognize repeated impacts in the same space of each bay of the ship, and can be used as a decision support tool for predictive maintenance systems.

show abstract

“…Finally, pointed at the integration trend of REI and energy, transportation, information and society networks, and based on the different system hierarchical division of ESOs and ECs, the characteristics of selforganization [55],…”

Section: Research On Key Issues Of Time Delay Complex Dynamics Networ...mentioning

confidence: 99%

A Review of Regional Energy Internet Models Considering Complex Dynamic Evolution with Time Delay

Guo,

Xian,

2021

Preprint

View full text Add to dashboard Cite

The model research of regional energy internet is of great significance to enhance the flexible coupling transformation of smart city multi-energy system, improve the reliability of energy supply and realize the preferential consumption of renewable energy. Based on the energy self-organization and energy community, from the perspective of complex network to carry out the wisdom of the city region energy complex dynamical network model research, through summarizing the many challenges facing the complex dynamic network institute, puts forward the study area energy Internet time-delay research idea and method of complex dynamic network model, to establish scientific value and practical significance of complex dynamic network model with time-delay system research theory and method.

show abstract

The Elastic Internet of Things - A platform for self-integrating and self-adaptive IoT-systems with support for embedded adaptive hardware

Cited by 23 publications

References 12 publications

Temporal Accelerators: Unleashing the Potential of Embedded FPGAs

Temporal Accelerators: Unleashing the Potential of Embedded FPGAs

Detecting Shipping Container Impacts with Vertical Cell Guides inside Container Ships during Handling Operations

A Review of Regional Energy Internet Models Considering Complex Dynamic Evolution with Time Delay

Contact Info

Product

Resources

About