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Aws - Crossref

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Last Updated: 10 January 2023

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A Mobile Application to Mark Attendance using a Combined Backend of the Firestore Database and Amazon AWS Services

This simplified classroom attendance problems greatly, as newly developed programming scripts could more accurately identify the students in a meeting room by their names. However, with the recent return to in person instruction, it has become clear that the challenge of attendance in the context of a non-virtual classroom environment has yet to be addressed in an effective automated manner. We reviewed the first machine-learning based algorithms as the first solutions we investigated, and within the context of the premise, we found that facial recognition would be the most cost-effective and cost-effective strategy that we could use. This paper develops a smartphone application that uses real time face recognition for the purpose of the above stated problem, using a backend of the Firestore database and Amazon AWS services.

Source link: https://doi.org/10.5121/csit.2023.130108


Highly Parallel Multi-FPGA System Compilation from Sequential C/C++ Code in the AWS Cloud

The multi-chip accelerator is identical to invoking the single-threaded sequential code that the multi-chip accelerator is built from, according to Invoking. Application development for using the multi-chip accelerator hardware has been simplified, but the multi-chip accelerator can be very high parallelism. The accelerator was built from an 8-FPGA accelerator developed by our compiler and has 44,600 times better results than an X86 Xeon CPU running the sequential single-threaded C program.

Source link: https://doi.org/10.1145/3507698


APPLICATION FOR FUNCTIONALITY AND REGISTRATION IN THE CLOUD OF A MICROCONTROLLER DEVELOPMENT BOARD FOR IOT IN AWS

The use of the Amazon Web Services cloud helps with new functionality that are otherwise unobtainable with traditional solutions: low latency, local data processing, and storage, as well as direct connectivity to other cloud services. Combining AWS cloud technology with mobile connectivity enables rapid prototyping to enable devices to connect natively over Wi-Fi, reimagining the way IoT connectivity services are delivered. The MQTT communication protocol is used to interact with the IoT device and exchange data, which allows monitoring the basic functions of a sensor node.

Source link: https://doi.org/10.35784/acs-2021-10


AWS-DAIE: Incremental Ensemble Short-Term Electricity Load Forecasting Based on Sample Domain Adaptation

Therefore, this paper introduces a new incremental ensemble model based on sample domain adaptation for adapting concept drift in a timely and accurate manner, and addresses the issue of inadequate training due to a lack of concept drift samples. According to current electricity load results, AWS-DAIE's primary aim is to find concept drift on current electricity load statistics and develop a new base predictor based on cumulative weighted sampling and then dynamically adjust the ensemble model's weights based on current electricity load results. We present the experimental results of the AWS-DAIE algorithm on electricity load data from four individual households and compared with many other outstanding algorithms for the purpose of demonstrating the adoption and efficiency of the new AWS-DAIE algorithm.

Source link: https://doi.org/10.3390/su142114205


A comparative study in Cloudera, Azure and AWS

This paper will examine the differences and similarities between the various Hadoop distributions on-premises and in the cloud. For cloud distribution services, we would use Cloudera as Hadoop distribution and AWS, Azure as Hadoop distribution and AWS, Azure as cloud distribution services, and AWS, Azure as cloud distribution services. Distributed cloud services have facilitated the development and integration of extensive IT services without much manual effort, which is also possible with the support of open source groups. However, some businesses do not see cloud services as a trusted or safe option for their personal information, so cloud service providers are considering hybrid solutions as a trend. Distributed cloud services have increased the opportunity for simple usage and integration of vast IT services with little manual effort, which is possible with the support of open source communities. However, some companies do not see cloud services as a trusted or secure solution for their personal information, so cloud service providers are considering hybrid solutions as a trend.

Source link: https://doi.org/10.36227/techrxiv.21428007


A comparative study in Cloudera, Azure and AWS

Cloudera and AWS, Azure as cloud distribution services, and Hadoop distribution and AWS, Azure as Hadoop distribution and AWS, Azure as cloud distribution services, respectively. Distributed cloud services have opened the door to fast use and integration of vast IT services with minimal manual effort, which is also possible with the support of open source communities. However, some businesses don't see cloud services as a trusted or secure solution for their personal information, so cloud service providers are considering hybrid solutions as a trend. Distributed cloud services have paved the way for rapid access and integration of complex IT services with minimal manual effort, which is also possible with the support of open source communities. However, some businesses don't see cloud services as a trusted or safe option for their personal information, so cloud service providers are considering hybrid solutions as a trend.

Source link: https://doi.org/10.36227/techrxiv.21428007.v1

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions