scholarly journals Auto-Tiler: Variable-Dimension Autoencoder with Tiling for Compressing Intermediate Feature Space of Deep Neural Networks for Internet of Things

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 896
Author(s):  
Jeongsoo Park ◽  
Jungrae Kim ◽  
Jong Hwan Ko
Keyword(s):  
Internet Of Things ◽  
High Performance ◽  
Feature Space ◽  
Compression Performance ◽  
Data Intensive ◽  
Storage Overhead ◽  
Multiple Input ◽  
Cloud Server ◽  
Different Characteristics ◽  
The Internet Of Things

Due to limited resources of the Internet of Things (IoT) edge devices, deep neural network (DNN) inference requires collaboration with cloud server platforms, where DNN inference is partitioned and offloaded to high-performance servers to reduce end-to-end latency. As data-intensive intermediate feature space at the partitioned layer should be transmitted to the servers, efficient compression of the feature space is imperative for high-throughput inference. However, the feature space at deeper layers has different characteristics than natural images, limiting the compression performance by conventional preprocessing and encoding techniques. To tackle this limitation, we introduce a new method for compressing DNN intermediate feature space using a specialized autoencoder, called auto-tiler. The proposed auto-tiler is designed to include the tiling process and provide multiple input/output dimensions to support various partitioned layers and compression ratios. The results show that auto-tiler achieves 18% to 67% higher percent point accuracy compared to the existing methods at the same bitrate while reducing the process latency by 73% to 81%. The dimension variability of an auto-tiler also reduces the storage overhead by 62% with negligible accuracy loss.

Maximizing piezoelectricity by self-assembled highly porous perovskite–polymer composite films to enable the internet of things

2020 ◽  
Vol 8 (27) ◽  
pp. 13619-13629 ◽  
Author(s):  
Asif Abdullah Khan ◽  
Md Masud Rana ◽  
Guangguang Huang ◽  
Nanqin Mei ◽  
Resul Saritas ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Polymer Composite ◽  
High Performance ◽  
Composite Films ◽  
The Internet ◽  
Next Generation ◽  
Self Assembled ◽  
Self Powered ◽  
The Internet Of Things ◽  
Highly Porous

A high-performance perovskite/polymer piezoelectric nanogenerator for next generation self-powered wireless micro/nanodevices.

Bridging the IoT Gap Through Edge Computing

2019 ◽  
pp. 1-9
Author(s):  
R. I. Minu ◽  
G. Nagarajan
Keyword(s):  
Internet Of Things ◽  
Information Needs ◽  
Edge Computing ◽  
The Internet ◽  
Cloud Server ◽  
The Cost ◽  
The Internet Of Things ◽  
Clear Objective ◽  
Origin Point

In the present-day scenario, computing is migrating from the on-premises server to the cloud server and now, progressively from the cloud to Edge server where the data is gathered from the origin point. So, the clear objective is to support the execution and unwavering quality of applications and benefits, and decrease the cost of running them, by shortening the separation information needs to travel, subsequently alleviating transmission capacity and inactivity issues. This chapter provides an insight of how the internet of things (IoT) connects with edge computing.

Challenges and prospects of 3D micro-supercapacitors for powering the internet of things

2019 ◽  
Vol 12 (1) ◽  
pp. 96-115 ◽  
Author(s):  
Christophe Lethien ◽  
Jean Le Bideau ◽  
Thierry Brousse
Keyword(s):  
Energy Storage ◽  
Solid State ◽  
Internet Of Things ◽  
High Performance ◽  
Storage Systems ◽  
Electronic Devices ◽  
Electrochemical Energy Storage ◽  
The Internet ◽  
The Internet Of Things ◽  
Internet Of Thing

The fabrication of miniaturized electrochemical energy storage systems is essential for the development of future electronic devices for Internet of Thing applications. This paper aims at reviewing the current micro-supercapacitor technologies and at defining the guidelines to produce high performance micro-devices with special focuses onto the 3D designs as well as the fabrication of solid state miniaturized devices to solve the packaging issue.

scholarly journals Development of Metal Polishing Dust Monitoring System using the Internet of Things and Cloud Server

2019 ◽  
Vol 15 (04) ◽  
pp. 53
Author(s):  
Zhiyao Fan ◽  
Tianhong Pan ◽  
Li Ma
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Remote Monitoring ◽  
Environmental Information ◽  
Sensor Nodes ◽  
The Internet ◽  
Sink Node ◽  
Remote Monitoring System ◽  
Cloud Server ◽  
The Internet Of Things

In order to increase the management efficiency and decrease the maintenance costs in the traditional dust monitoring system, a novel real-time remote monitoring system using the Internet of Things and cloud server is proposed in this paper. The system includes several sensor nodes, a sink node and Cloud Server. The high-precision dust probe, temperature and humidity sensors, water flow sensors and hydrogen transmitters are integrated together into a sensor node to access the metal polished environmental information. Then, the collected information is transmitted to sink-node using the 2.4G wireless network. The sink-node uploads data to the Cloud Server through the 4G network and TCP Socket. Based on the Browser/Server (B/S) model, a remote monitoring system is developed by using Tencent Cloud Server, C# language, and SQL database. As a result, the on-site metal polishing environmental information is obtained via the App and Web page.

Towards Using Cloud Elasticity on the Internet of Things Landscape

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Rodrigo Da Rosa Righi ◽  
Márcio Miguel Gomes ◽  
Cristiano Andrá Da Costa ◽  
Helge Parzyjegla ◽  
Hans-Ulrich Heiss
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
High Performance ◽  
Virtual Machines ◽  
The Internet ◽  
Data Volume ◽  
Significant Performance ◽  
Cloud Elasticity ◽  
Performance Gains ◽  
The Internet Of Things

The digital universe is growing at significant rates in recent years. One of the main responsible for this sentence is the Internet of Things, or IoT, which requires a middleware that should be capable to handle this increase of data volume at real-time. Particularly, data can arrive in the middleware in parallel as in terms of input data from Radio-Frequency Identification (RFID) readers as request-reply query operations from the users side. Solutions modeled at software, hardware and/or architecture levels present limitations to handle such load, facing the problem of scalability in the IoT scope. In this context, this arti- cle presents a model denoted Eliot - Elasticity-driven Internet of Things - which combines both cloud and high performance computing to address the IoT scal- ability problem in a novel EPCglobal-compliant architecture. Particularly, we keep the same API but offer an elastic EPCIS component in the cloud, which is designed as a collection of virtual machines (VMs) that are allocated and deallocated on-the-fly in accordance with the system load. Based on the Eliot model, we developed a prototype that could run over any black-box EPCglobal- compliant middleware. We selected the Fosstrak for this role, which is currently one of the most used IoT middlewares. Thus, the prototype acts as an upper layer over the Fosstrak to offer a better throughput and latency performances in an effortless way. The results are encouraging, presenting significant performance gains in terms of response time and request throughput when comparing both elastic (Eliot) and non-elastic (standard Fosstrak) executions.  

scholarly journals Easy-Weigh-Out: Design and Implementation of Internet of Things-based Smart Luggage System

2021 ◽  
Vol 17 (03) ◽  
pp. 37
Author(s):  
Mohammad Haasin Farooq ◽  
Muhammad Zain ◽  
Muhammad Bilal Khalid ◽  
Saima Zafar
Keyword(s):  
Internet Of Things ◽  
The Internet ◽  
Data Logging ◽  
Design And Implementation ◽  
Digital World ◽  
Cloud Server ◽  
Security Surveillance ◽  
The Internet Of Things ◽  
Term Data

The Internet of Things (IoT) has dominated the digital world by enabling thousands of physical devices to communicate with each other and share useful data over the Internet. With use cases spanning every sphere of modern life, the IoT is all set to revolutionize the traveling sector by extending services associated with safety, security, surveillance, tracking, comfort, and a lot more. This paper presents the design and implementation of a prototype Easy-Weigh-Out, based on the principles of the IoT which enables a user to run Android-based mobile application and view the weight of luggage and track its location without any contact with it. The hardware of the system is built around Arduino UNO microcontroller which interfaces with a load cell (20 kg) via A/D converter and a NEO-6M Global Positioning System (GPS) module for tracking of the bag. The system uploads data to a Cloud server using ESP8266 Wi-Fi module. Our results show the real-time weight and tracking of the bag at a click of a button as well as long-term data logging.

scholarly journals Design and implementation of bi-directional converter with internet of things control based reading

2021 ◽  
Vol 23 (2) ◽  
pp. 938
Author(s):  
Wisam Dawood Abdullah ◽  
Raad Z. Homod ◽  
Abdulbasit H. Ahmed
Keyword(s):  
Internet Of Things ◽  
High Performance ◽  
Power Level ◽  
Loop Control ◽  
Current Voltage ◽  
Control Scheme ◽  
Performance Specifications ◽  
A New Technique ◽  
And Control ◽  
The Internet Of Things

In this paper, a new technique to monitor and control bidirectional DC-DC converter was designed and implemented precisely. A prototype of a complete system is verified with efficient communication capabilities. This system is realized by integrating the internet of things (IoT) operating system and the bidirectional DC-DC converter. The IoT communication facilities further develop and extend the platform for this system. The DC-DC converter with the soft switching technique will then convert the battery voltage to a high voltage of 380V inverter bus in emergencies via boost converter mode. High-frequency toroidal transformer has been used for power level shifting and isolation between the primary and secondary sides of the transformer. The closed-loop control scheme is implemented in software by using a high-performance 32-bit STM32 micro controller. IoT technique is used to find current, voltage and perform the communication smoothly through Wi-Fi sensors to complete the design of the system. The results of the proposed system prove the effectiveness of the proposed system with high-performance specifications.

scholarly journals A High-Performance Coniform Helmholtz Resonator-Based Triboelectric Nanogenerator for Acoustic Energy Harvesting

Nanomaterials ◽  
2021 ◽  
Vol 11 (12) ◽  
pp. 3431
Author(s):  
Haichao Yuan ◽  
Hongyong Yu ◽  
Xiangyu Liu ◽  
Hongfa Zhao ◽  
Yiping Zhang ◽  
...  
Keyword(s):  
Energy Harvesting ◽  
Internet Of Things ◽  
High Performance ◽  
Helmholtz Resonator ◽  
Acoustic Energy ◽  
The Internet ◽  
Triboelectric Nanogenerator ◽  
Sensor Devices ◽  
Acoustic Energy Harvesting ◽  
The Internet Of Things

Harvesting acoustic energy in the environment and converting it into electricity can provide essential ideas for self-powering the widely distributed sensor devices in the age of the Internet of Things. In this study, we propose a low-cost, easily fabricated and high-performance coniform Helmholtz resonator-based Triboelectric Nanogenerator (CHR-TENG) with the purpose of acoustic energy harvesting. Output performances of the CHR-TENG with varied geometrical sizes were systematically investigated under different acoustic energy conditions. Remarkably, the CHR-TENG could achieve a 58.2% higher power density per unit of sound pressure of acoustic energy harvesting compared with the ever-reported best result. In addition, the reported CHR-TENG was demonstrated by charging a 1000 μF capacitor up to 3 V in 165 s, powering a sensor for continuous temperature and humidity monitoring and lighting up as many as five 0.5 W commercial LED bulbs for acoustic energy harvesting. With a collection features of high output performance, lightweight, wide frequency response band and environmental friendliness, the cleverly designed CHR-TENG represents a practicable acoustic energy harvesting approach for powering sensor devices in the age of the Internet of Things.

scholarly journals Hierarchically Authorized Transactions for Massive Internet-of-Things Data Sharing Based on Multilayer Blockchain

2019 ◽  
Vol 9 (23) ◽  
pp. 5159 ◽  
Author(s):  
Shichang Xuan ◽  
Yibo Zhang ◽  
Hao Tang ◽  
Ilyong Chung ◽  
Wei Wang ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Big Data ◽  
Internet Of Things ◽  
Data Sharing ◽  
Privacy Protection ◽  
High Performance ◽  
The Internet ◽  
Blockchain Technology ◽  
And Storage ◽  
The Internet Of Things

With the arrival of the Internet of Things (IoT) era and the rise of Big Data, cloud computing, and similar technologies, data resources are becoming increasingly valuable. Organizations and users can perform all kinds of processing and analysis on the basis of massive IoT data, thus adding to their value. However, this is based on data-sharing transactions, and most existing work focuses on one aspect of data transactions, such as convenience, privacy protection, and auditing. In this paper, a data-sharing-transaction application based on blockchain technology is proposed, which comprehensively considers various types of performance, provides an efficient consistency mechanism, improves transaction verification, realizes high-performance concurrency, and has tamperproof functions. Experiments were designed to analyze the functions and storage of the proposed system.

EDUCATIONAL PROJECT TO CREATE AN AUTOMATED CONTROL SYSTEM OF THE GREENHOUSE COMPLEX

2020 ◽  
Author(s):  
M.Y Braginskii ◽  
◽  
D.V. Tarakanov ◽  
Keyword(s):  
Control System ◽  
Internet Of Things ◽  
The Internet ◽  
Web Interface ◽  
Automated Control ◽  
Educational Project ◽  
Automated Control System ◽  
Cloud Server ◽  
The Internet Of Things ◽  
Distributed Technologies

The article presents the process of design of educational project to create an automated control system of the greenhouse complex, which includes a controller with sensors, as well as a cloud server with a universal web-interface for displaying data from sensors. All developments within the framework of the research were carried out on the basis of modern, free-distributed technologies of the Internet of things. The use of these technologies made it possible to implement a working version of a prototype controller for monitoring parameters of the greenhouse complex, with the least expenditure of resources.

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