Understanding Edge Computing: Engineering Evolution With Artificial Intelligence

Seo, Yeong-Seok

doi:10.1109/access.2019.2945338

Cited by 99 publications

(53 citation statements)

References 53 publications

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“…Another reason for the transmission rate to drop during actual navigation is due to the noise occurring while conducting power line communications [49]. When the transmission rates were compared between office, land-based testbed, and actual ship [49,50], the rate measured in the office was a little lower than that of the testbed but higher or almost similar to the rate measured aboard. Different from the actual ship the walls of the office were made of cement.…”

Section: Resultsmentioning

confidence: 99%

Decrepit Building Monitoring Solution for Zero Energy Building Management Using PLC and Android Application

Park

2020

Sustainability

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Since power line communication (PLC) technology has been considered a platform technology for smart metering, this study introduces an analogous system technology for the PLC-based monitoring systems in zero energy building management. This technology allows a system operator or an operation center to monitor, calculate, or manage power use remotely through the existing power line so that individual suppliers will be able to grasp the present condition of power use and respond to any unexpected incidents. As in any country, many old buildings in Korea are repaired to be used for 40–50 years or even longer since constructing new ones is expensive. Because remodeling old buildings is not only expensive but also generates construction waste, repairing is the preferred alternative in many cases. With the expectation that the proposed platform technology will be one of the promising technologies for sustainable building, its uninterrupted power usage monitoring and remote power control/management functions will be quite useful for economizing power with convenience. A system with such a PLC-based design and algorithm can be quite scalable as well. As the major contribution of this study, a solution suitable for decrepit buildings or apartments has been developed by using the PLC technology, and the test bed experiment was conducted for it. The result showed that the solution worked flexibly and efficiently. Since it is impossible to install a new network especially in the case of decrepit buildings, PLC must be used through the existing power line. Thus, a decrepit building monitoring system has been proposed in this study for a sustainable building. The proposed solution was simulated with OPNET simulation first. Following the mounting of the actual PLC product and development of a monitoring application to complete the platform/solution, it is being tested at the test bed in a decrepit building.

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Section: Resultsmentioning

confidence: 99%

Decrepit Building Monitoring Solution for Zero Energy Building Management Using PLC and Android Application

Park

2020

Sustainability

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“…Artificial intelligence is a technology that combines human learning ability, reasoning ability, perceptual ability and understanding of natural language through computer programs. As a branch of computer science and information technology that studies how computers can make thinking, learning and self-development possible with human intelligence, artificial intelligence allows computers to emulate human intelligent behavior [ 5 , 6 , 7 ]. This concept of artistic intelligence is already used in many areas.…”

Section: Background Knowledgementioning

confidence: 99%

Consistency of Medical Data Using Intelligent Neuron Faster R-CNN Algorithm for Smart Health Care Application

Kim

2020

Healthcare

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The purpose of this study is to increase interest in health as human life is extended in modern society. Hence, many people in hospitals produce much medical data (EMR, PACS, OCS, EHR, MRI, X-ray) after treatment. Medical data are stored as structured and unstructured data. However, many medical data are causing errors, omissions and mistakes in the process of reading. This behavior is very important in dealing with human life and sometimes leads to medical accidents due to physician errors. Therefore, this research is conducted through the CNN intelligent agent cloud architecture to verify errors in reading existing medical image data. To reduce the error rule when reading medical image data, a faster R-CNN intelligent agent cloud architecture is proposed. It shows the result of increasing errors of existing error reading by more than 1.4 times (140%). In particular, it is an algorithm that analyses data stored by actual existing medical data through Conv feature map using deep ConvNet and ROI Projection. The data were verified using about 120,000 databases. It uses data to examine human lungs. In addition, the experimental environment established an environment that can handle GPU’s high performance and NVIDIA SLI multi-OS and multiple Quadro GPUs were used. In this experiment, the verification data composition was verified and randomly extracted from about 120,000 medical records and the similarity compared to the original data were measured by comparing about 40% of the extracted images. Finally, we want to reduce and verify the error rate of medical data reading.

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“…Fortunately, after some years, the sensorization of buildings and homes has become relatively easy. Lots of technology and protocols like Wi-Fi smart devices, Z-Wave, ZigBee, Modbus, and advances in computation [ 9 ] have facilitated the automation and monitoring at a wide range of levels [ 10 ]. These technologies stimulate the extended use of distributed generation, like home solar panels and batteries, which increase the control complexity [ 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

OpenADR and Agreement Audit Architecture for a Complete Cycle of a Flexibility Solution

Parejo

García

Personal

et al. 2021

Sensors

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Nowadays, the presence of renewable generation systems and mobile loads (i.e., electric vehicle) spread throughout the distribution network is increasing. The problem is that this type of system introduces an added difficulty since they present a strong dependence on the meteorology and the mobility needs of the users. This problem forces the distribution system operators to seek tools that make it possible to balance the relationship between consumption and generation. In this sense, automated demand response systems are an appropriate solution that allow the operator to request specific reductions in customers’ consumption, offering a discount to the customer and avoiding network congestion. This paper analyzes the implementation and architecture of a demand response solution based on OpenADR standard and its possible integration with a building management system through a use case. As will be analyzed, a key part of the architecture is the measurement system based on smart meters acting as sensors. This is the base of the auditing system which makes it possible to verify compliance with the consumption reduction agreements. Additionally, this study is completed with a parallel auditing system which makes it possible to verify compliance with the consumption reduction agreements. All of the proposed demand response cycle is implemented as a proof of concept in a classroom in the Escuela Politécnica Superior at the University of Seville, which makes it possible to identify the advantages of this architecture in the ambit of connection between distribution network and buildings.

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Understanding Edge Computing: Engineering Evolution With Artificial Intelligence

Cited by 99 publications

References 53 publications

Decrepit Building Monitoring Solution for Zero Energy Building Management Using PLC and Android Application

Decrepit Building Monitoring Solution for Zero Energy Building Management Using PLC and Android Application

Consistency of Medical Data Using Intelligent Neuron Faster R-CNN Algorithm for Smart Health Care Application

OpenADR and Agreement Audit Architecture for a Complete Cycle of a Flexibility Solution

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