scholarly journals Design and Implementation of an IoT-Oriented Strain Smart Sensor with Exploratory Capabilities on Energy Harvesting and Magnetorheological Elastomer Transducers

2020 ◽  
Vol 10 (12) ◽  
pp. 4387 ◽  
Author(s):  
Jorge de-J. Lozoya-Santos ◽  
L. C. Félix-Herrán ◽  
Juan C. Tudón-Martínez ◽  
Adriana Vargas-Martinez ◽  
Ricardo A. Ramirez-Mendoza
Keyword(s):  
Energy Harvesting ◽  
Internet Of Things ◽  
Cantilever Beam ◽  
Smart Materials ◽  
Mechanical Strain ◽  
Piezoelectric Sensors ◽  
Processing Unit ◽  
Smart Sensor ◽  
Magnetorheological Elastomer ◽  
Central Processing

This work designed and implemented a new low-cost, Internet of Things-oriented, wireless smart sensor prototype to measure mechanical strain. The research effort explores the use of smart materials as transducers, e.g., a magnetorheological elastomer as an electrical-resistance sensor, and a cantilever beam with piezoelectric sensors to harvest energy from vibrations. The study includes subsequent and validated results with a magnetorheological elastomer transducer that contained multiwall carbon nanotubes with iron particles, generated voltage tests from an energy-harvesting system that functions with an array of piezoelectric sensors embedded in a rubber-based cantilever beam, wireless communication to send data from the sensor’s central processing unit towards a website that displays and stores the handled data, and an integrated manufactured prototype. Experiments showed that electrical-resistivity variation versus measured strain, and the voltage-generation capability from vibrations have the potential to be employed in smart sensors that could be integrated into commercial solutions to measure strain in automotive and aircraft systems, and civil structures. The reported experiments included cloud-computing capabilities towards a potential Internet of Things application of the smart sensor in the context of monitoring automotive-chassis vibrations and airfoil damage for further analysis and diagnostics, and in general structural-health-monitoring applications.

On the Optimal Energy Efficiency and Spectral Efficiency Trade-Off of CF Massive MIMO SWIPT System

2021 ◽  
Author(s):  
Na Li ◽  
Yuan Yuan Gao ◽  
Kui Xu
Keyword(s):  
Energy Efficiency ◽  
Energy Harvesting ◽  
Information Transmission ◽  
Spectral Efficiency ◽  
Performance Optimization ◽  
Processing Unit ◽  
Processing Scheme ◽  
Selection Scheme ◽  
Trade Off ◽  
Central Processing

Abstract This paper studies a cell-free (CF) massive multi-input multi-output (MIMO) simultaneous wireless information and power transmission (SWIPT) system and proposes a user-centric (UC) access point (AP) selection method and a trade-off performance optimization scheme for spectral efficiency and energy efficiency. In this system, users have both energy harvesting and information transmission functions, and according to the difference between energy harvesting and information transmission, a flexible AP selection scheme is designed. This paper analyses the trade-off between energy efficiency and spectral efficiency, proposes an evaluation index that takes into account both energy efficiency and spectral efficiency, and jointly optimizes the AP selection scheme and the uplink (UL) and downlink (DL) time switching ratio to maximize the trade-off performance. Then, the non-convex problem is converted to a geometric planning (GP) problem to solve. The simulation results show that by implementing a suitable AP selection scheme and UL and DL time allocation, the information processing scheme on the AP side has a slight loss in spectral efficiency, but the energy efficiency is close to the performance of global processing on the central processing unit (CPU).

scholarly journals Smart Materials and Devices for Energy Harvesting

Materials ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4738
Author(s):  
Daniele Davino
Keyword(s):  
Energy Harvesting ◽  
Internet Of Things ◽  
Smart Materials ◽  
The Internet ◽  
Enabling Technologies ◽  
Key Enabling Technologies ◽  
The Internet Of Things

Energy harvesting will be one of the key enabling technologies for the Internet of Things (IoT) world [...]

scholarly journals Smart sensor tights: Movement tracking of the lower limbs in football

2021 ◽  
Vol 2 ◽  
Author(s):  
Annemarijn Steijlen ◽  
Bastiaan Burgers ◽  
Erik Wilmes ◽  
Jeroen Bastemeijer ◽  
Bram Bastiaansen ◽  
...  
Keyword(s):  
Technical Assistance ◽  
Field Tests ◽  
Measurement Range ◽  
Lower Limbs ◽  
Processing Unit ◽  
Smart Sensor ◽  
Orientation Data ◽  
Central Processing ◽  
Earth Magnetic Field ◽  
Angular Velocities

Abstract This article presents a novel smart sensor garment with integrated miniaturized inertial measurements units (IMUs) that can be used to monitor lower body kinematics during daily training activities, without the need of extensive technical assistance throughout the measurements. The smart sensor tights enclose five ultra-light sensor modules that measure linear accelerations, angular velocities, and the earth magnetic field in three directions. The modules are located at the pelvis, thighs, and shanks. The garment enables continuous measurement in the field at high sample rates (250 Hz) and the sensors have a large measurement range (32 g, 4,000°/s). They are read out by a central processing unit through an SPI bus, and connected to a centralized battery in the waistband. A fully functioning prototype was built to perform validation studies in a lab setting and in a field setting. In the lab validation study, the IMU data (converted to limb orientation data) were compared with the kinematic data of an optoelectronic measurement system and good validity (CMCs >0.8) was shown. In the field tests, participants experienced the tights as comfortable to wear and they did not feel restricted in their movements. These results show the potential of using the smart sensor tights on a regular base to derive lower limb kinematics in the field.

scholarly journals Image Processing and IoT Based Dynamic Traffic Management System

2020 ◽  
pp. 180-188
Author(s):  
Nitin N. Sakhare ◽  
Subhash B. Tatale ◽  
S.R. Sakhare ◽  
Hemant Dusaane ◽  
Mamta Puri ◽  
...  
Keyword(s):  
Image Processing ◽  
Internet Of Things ◽  
Waiting Time ◽  
Traffic Management ◽  
Management System ◽  
Processing Unit ◽  
Time Data ◽  
Central Processing ◽  
Emergency Situations ◽  
Traffic Management System

Due to rise in number of vehicles the traffic management has become a major problem. Manual traffic system is not efficient. This paper presents adaptive traffic management system using Internet of Things (IoT) and Image processing. The proposed system has capability to analyze real time data using image processing. Using cameras, different lanes are monitored constantly. The data obtained from different lanes are examined. Detection and counting of number of vehicles in each lane is done by using image processing. The count from each lane is sent to the central processing unit. According to the count of vehicles algorithm calculates waiting time for each lane, then the signal lights will be decided. This system reduces the average waiting time and increases the efficiency of traffic clearance. The system also reduces the pollution due CO2 emission and useful in emergency situations, thus being adaptive traffic management using Internet of Things (IoT).

scholarly journals A dynamic data encryption method based on addressing the data importance on the internet of things

2022 ◽  
Vol 12 (2) ◽  
pp. 2139
Author(s):  
Dana Khwailleh ◽  
Firas Al-balas
Keyword(s):  
Internet Of Things ◽  
Hybrid System ◽  
Stream Cipher ◽  
Block Cipher ◽  
Data Encryption ◽  
Processing Unit ◽  
Important Data ◽  
Central Processing ◽  
Encryption Method ◽  
The Internet Of Things

The rapid growth of internet of things (IoT) in multiple areas brings research challenges closely linked to the nature of IoT technology. Therefore, there has been a need to secure the collected data from IoT sensors in an efficient and dynamic way taking into consideration the nature of collected data due to its importance. So, in this paper, a dynamic algorithm has been developed to distinguish the importance of data collected and apply the suitable security approach for each type of data collected. This was done by using hybrid system that combines block cipher and stream cipher systems. After data classification using machine learning classifiers the less important data are encrypted using stream cipher (SC) that use rivest cipher 4 algorithm, and more important data encrypted using block cipher (BC) that use advanced encryption standard algorithm. By applying a performance evaluation using simulation, the proposed method guarantees that it encrypts the data with less central processing unit (CPU) time with improvement in the security over the data by using the proposed hybrid system.

The benefits of a magnetically coupled asymmetric monostable dual-cantilever energy harvester under random excitation

2019 ◽  
Vol 30 (20) ◽  
pp. 3136-3145 ◽  
Author(s):  
Zhengqiu Xie ◽  
Shengxi Zhou ◽  
Jitao Xiong ◽  
Wenbin Huang
Keyword(s):  
Energy Harvesting ◽  
Cantilever Beam ◽  
Energy Harvester ◽  
Mechanical Strain ◽  
Magnetic Coupling ◽  
Random Excitation ◽  
Superior Performance ◽  
Vibration Energy ◽  
Vibration Energy Harvesting ◽  
Piezoelectric Energy

Piezoelectric vibration energy harvesting is a promising technique to power wireless sensor networks. This article originally presents a magnetically coupled asymmetric monostable dual-cantilever piezoelectric energy harvester consisting of a generating piezoelectric cantilever beam and an auxiliary cantilever beam. Theoretical and experimental results both verify that the asymmetric harvester has the superior performance compared with the conventional magnetically coupled symmetric bistable dual-cantilever piezoelectric energy harvester, yielding higher voltage output under different magnetic coupling intensities and different power densities of the band-limited Gaussian white noise random excitation. More importantly, the mechanical strain of the asymmetric harvester is much smaller than that of the symmetric harvester, being lower than half of the latter one under strong magnetic coupling. Therefore, due to its higher energy conversion efficiency and better durability, the proposed asymmetric harvester is beneficial for practical environment vibration energy harvesting.

scholarly journals Applications of Nano-Rkin Internet of Things (Iot)

2020 ◽  
Vol 9 (4S2) ◽  
pp. 53-59
Keyword(s):  
World Wide Web ◽  
Internet Of Things ◽  
Real Time ◽  
World Wide ◽  
Electrical Power ◽  
Battery Life ◽  
Sleep Mode ◽  
Processing Unit ◽  
Central Processing ◽  
Community Facilities

Internet of Things (IoT) is notoriously described as World wide web of objectives as ‘Things’ is a global and interconnected communicate for whatever easily interchange information through Internet sensing systems. The tiny wsn devices are actually having qualities like low energy capability, less weight minimal battery support managed through Real-time operating systems. [6]. Nano-RK is open source and having to work on real-time tasks. The Nano-RK according reserve reservations tasks known other name as resource kernel. A source little bit uses reservations on specifically just how typically device information could be consumed as well as handled. For example, using resource reservations concept, create Central Processing Unit resource appointments present day innovation, a task might just be actually enabled to carry out 10 ms every 150 ms. Likewise one more case through making use of Nano-RK by using System source reservations innovation a node could merely be enabled to transfer 10 network packages every moment. The utilizing these bookings to secure electric battery lifestyle of a node along with likewise protecting a fallen short node from making too much messages in system internet network scenario. According this, the energy capability of a battery life of a node are going to definitely be actually reduced. The Nano-RK is open resource as well as additionally support in programming language like C and C++. Nano-RK can operates on the Atmel-based FireFly platform. The target of this paper is an intro importance of features and applications an intro of Nano-RK. Depending on to running device capacities as well as additionally qualities as well as an open resource of ecological community facilities, the Nano-RK is the a suited operating system os for tightened as well as minimized electrical power sensing unit resources for World wide web of connected things. By particular study, the research study of one of the most crucial functions of IOT enable Nano-Rk located Reservations Booking, Deep-in sleep mode environment, Error administration and likewise pointing characteristics of Nano-RK os. [3].

Perangkat keras komputer

2020 ◽  
Author(s):  
Roudati jannah
Keyword(s):  
Data Storage ◽  
Central Processing Unit ◽  
External Memory ◽  
Storage Device ◽  
Input Device ◽  
Processing Unit ◽  
Central Processing ◽  
Output Device

Perangkat keras komputer adalah bagian dari sistem komputer sebagai perangkat yang dapat diraba, dilihat secara fisik, dan bertindak untuk menjalankan instruksi dari perangkat lunak (software). Perangkat keras komputer juga disebut dengan hardware. Hardware berperan secara menyeluruh terhadap kinerja suatu sistem komputer. Prinsipnya sistem komputer selalu memiliki perangkat keras masukan (input/input device system) – perangkat keras premprosesan (processing/central processing unit) – perangkat keras luaran (output/output device system) – perangkat tambahan yang sifatnya opsional (peripheral) dan tempat penyimpanan data (storage device system/external memory).

CENTRAL PROCESSING UNIT (CPU)

2020 ◽  
Author(s):  
Ika Milia wahyunu Siregar
Keyword(s):  
Processing System ◽  
Central Processing Unit ◽  
Processing Unit ◽  
Central Processing

Perkembangan IT di dunia sangat pesat, mulai dari perkembangan sofware hingga hardware. Teknologi sekarang telah mendominasi sebagian besar di permukaan bumi ini. Karena semakin cepatnya perkembangan Teknologi, kita sebagai pengguna bisa ketinggalan informasi mengenai teknologi baru apabila kita tidak up to date dalam pengetahuan teknologi ini. Hal itu dapat membuat kita mudah tergiur dan tertipu dengan berbagai iklan teknologi tanpa memikirkan sisi negatifnya. Sebagai pengguna dari komputer, kita sebaiknya tahu seputar mengenai komponen-komponen komputer. Komputer adalah serangkaian mesin elektronik yang terdiri dari jutaan komponen yang dapat saling bekerja sama, serta membentuk sebuah sistem kerja yang rapi dan teliti. Sistem ini kemudian digunakan untuk dapat melaksanakan pekerjaan secara otomatis, berdasarkan instruksi (program) yang diberikan kepadanya. Istilah Hardware komputer atau perangkat keras komputer, merupakan benda yang secara fisik dapat dipegang, dipindahkan dan dilihat. Central Processing System/ Central Processing Unit (CPU) adalah salah satu jenis perangkat keras yang berfungsi sebagai tempat untuk pengolahan data atau juga dapat dikatakan sebagai otak dari segala aktivitas pengolahan seperti penghitungan, pengurutan, pencarian, penulisan, pembacaan dan sebagainya.

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