scholarly journals Internet of things (IoT) based I-V curve tracer for photovoltaic monitoring systems

2019 ◽  
Vol 13 (3) ◽  
pp. 1022 ◽  
Author(s):  
H. B. Chi ◽  
M. F. N. Tajuddin ◽  
N. H. Ghazali ◽  
A. Azmi ◽  
M. U. Maaz
Keyword(s):  
Internet Of Things ◽  
Low Cost ◽  
Experimental Tests ◽  
Monitoring Systems ◽  
The Internet ◽  
Control Software ◽  
Curve Tracer ◽  
Current Voltage ◽  
The Internet Of Things

<span>This paper presents a low-cost PV current-voltage or <em>I-V</em> curve tracer that has the Internet of Things (IoT) capability. Single ended primary inductance converter (SEPIC) is used to develop the <em>I-V</em> tracer, which is able to cope with rapidly changing irradiation conditions. The <em>I-V</em> tracer control software also has the ability to automatically adapt to the varying irradiation conditions. The performance of the <em>I-V</em> curve tracer is evaluated and verified using simulation and experimental tests.</span>

Research on Data Release and Location Monitoring Technology of Sensor Network Based on Internet of Things

2021 ◽  
Author(s):  
Bin Lin
Keyword(s):  
Wireless Sensor Network ◽  
Internet Of Things ◽  
Sensor Network ◽  
Low Cost ◽  
Wireless Sensor ◽  
The Internet ◽  
Network Data ◽  
Monitoring Technology ◽  
Software And Hardware ◽  
The Internet Of Things

The Internet of Things is another information technology revolution and industrial wave after computer, Internet and mobile communication. It is becoming a key foundation and an important engine for the green, intelligent and sustainable development of economic society. The new networked intelligent production mode characterized by the integration innovation of the Internet of Things is shaping the core competitiveness of the future manufacturing industry. The application of sensor network data positioning and monitoring technology based on the Internet of Things in industry, power and other industries is a hot field for the development of the Internet of Things. Sensor network processing and industrial applications are becoming increasingly complex, and new features have appeared in the sensor network scale and infrastructure in these fields. Therefore, the Internet of Things perception data processing has become a research hotspot in the deep integration process between industry and the Internet of Things. This paper deeply analyzes and summarizes the characteristics of sensor network perception data under the new trend of the Internet of Things as well as the research on location monitoring technology, and makes in-depth exploration from the release and location monitoring of sensor network perception data of the Internet of Things. Sensor network technology integrated sensor technology, micro-electromechanical system technology, wireless communication technology, embedded computing technology and distributed information processing technology in one, with easy layout, easy control, low power consumption, flexible communication, low cost and other characteristics. Therefore, based on the release and location monitoring technologies of sensor network data based on the Internet of Things in different applications, this paper studies the corresponding networking technologies, energy management, data management and fusion methods. Standardization system in wireless sensor network low cost, and convenient data management needs, design the iot oriented middleware, and develops the software and hardware system, the application demonstration, the results show that the design of wireless sensor network based on iot data monitoring and positioning technology is better meet the application requirements, fine convenient integration of software and hardware, and standardized requirements and suitable for promotion.

MEGAN: Multipurpose Energy-Efficient, Adaptable, and Low-Cost Wireless Sensor Node for the Internet of Things

2020 ◽  
Vol 14 (1) ◽  
pp. 144-151 ◽  
Author(s):  
Sudip Misra ◽  
Sanku Kumar Roy ◽  
Arijit Roy ◽  
Mohammad S. Obaidat ◽  
Avantika Jha
Keyword(s):  
Internet Of Things ◽  
Energy Efficient ◽  
Sensor Node ◽  
Low Cost ◽  
Wireless Sensor ◽  
The Internet ◽  
Wireless Sensor Node ◽  
The Internet Of Things

scholarly journals A light protocol for tracking secure stuff for the internet of things

2018 ◽  
Vol 7 (3) ◽  
pp. 1491
Author(s):  
Dr Chalasani Srinivas ◽  
Dr Srinivas Malladi
Keyword(s):  
Internet Of Things ◽  
Moving Objects ◽  
Data Transfer ◽  
Low Cost ◽  
The Internet ◽  
Authentication Code ◽  
Ipv6 Address ◽  
Internet Connections ◽  
Identity System ◽  
The Internet Of Things

The Internet of Things (IoT) is growing in the web of an age-old IPv6 address for Internet connections and messages that arise between these and other devices and systems that work with the Internet. It is equipped with the unique ID and data transfer capability through the network. Among other things, tracking and tracking online travel is a major issue. Although there are many tracking techniques for moving objects, many are at risk. So there is a need for tracking the safety of an object Safety protocols should provide visibility and tracking of street objects in support of the Internet (IoT). This protocol is based on the RFID Identity System for IoT Objects. Existing ones do not provide authentication of sites that lead to fakes. Great use of energy. The proposed protocol improves road safety tracking using the base protocol light and SPDL. The requested protocol is intended to ensure accuracy, accuracy, confidentiality and encryption. To ensure safe monitoring of objects, the requested protocols use cryptic primitives that use HMAC concepts that are used to authenticate an object. This protocol introduction relies on code authentication code (CMC), which is used to reduce power consumption at low cost. The testing of a test network evaluates protocol implementation and is found to be safer and requires less calculation than existing protocols.  

Des Translators neue Kleider. Die Translationwirtschaft in Zeiten von Digitalisierung, Datafizierung und Big Data Management

2017 ◽  
Vol 62 (2) ◽  
Author(s):  
Martin Forstner
Keyword(s):  
Machine Learning ◽  
At Risk ◽  
Big Data ◽  
Internet Of Things ◽  
Data Management ◽  
Low Cost ◽  
The Internet ◽  
Computer Linguistics ◽  
Translation Services ◽  
The Internet Of Things

AbstractThe Internet of things will influence all professional environments, including translation services. Advances in machine learning, supported by accelerating improvements in computer linguistics, have enabled new systems that can learn from their own experience and will have repercussions on the workflow processes of translators or even put their services at risk in the expected digitalized society. Outsourcing has become a common practice and working in the cloud and in the crowd tend to enable translating on a very low-cost level. Confronted with promising new labels like

scholarly journals Development of a Utility Model for the Measurement of Global Radiation in Photovoltaic Applications in the Internet of Things (IoT)

Electronics ◽  
2019 ◽  
Vol 8 (3) ◽  
pp. 304 ◽  
Author(s):  
Rus-Casas C. ◽  
Hontoria L. ◽  
Fernández-Carrasco J.I. ◽  
Jiménez-Castillo G. ◽  
Muñoz-Rodríguez F.
Keyword(s):  
Internet Of Things ◽  
Electronic Device ◽  
Low Cost ◽  
Global Radiation ◽  
The Internet ◽  
Utility Model ◽  
Incident Solar Radiation ◽  
Photovoltaic Applications ◽  
The Internet Of Things ◽  
The Ideal

In order to develop future projects in the field of photovoltaic solar energy, it is essential to accurately know the potential solar resources. There are many methods to estimate the incident solar radiation in a certain place. However, most of them are very expensive or do not have the ideal characteristics for good monitoring of a particular photovoltaic installation. For these reasons, an electronic device connected to the internet of things (IoT) is presented in this paper which manages to measure global radiation in photovoltaic applications. The device developed has been patented in the Spanish Patent and Trademark Office. It presents some features that make it very suitable to measure photovoltaic installations with the advantage of being a low cost and very reliable device. The device has been tested to determine global horizontal irradiance obtaining a correlation coefficient R2 = 0.994.

Embedded Flexible Hybrid Electronics for the Internet of Things

2015 ◽  
Vol 2015 (1) ◽  
pp. 000006-000013 ◽  
Author(s):  
Val R. Marinov
Keyword(s):  
Internet Of Things ◽  
Low Cost ◽  
System Level ◽  
Smart Devices ◽  
The Internet ◽  
Physical Form ◽  
Pick And Place ◽  
The Cost ◽  
The Internet Of Things ◽  
Generation Technology

The Internet of Things (IoT) “things” are often times described as active or smart devices and objects augmented with sensing, processing, and network capabilities. These smart objects are in the heart of the IoT concept but they alone cannot realize the full potential of IoT. The most ubiquitous objects in the IoT ecosystem, those that reside at the lowest system level and interact with the higher-level smart object, are based on the passive RFID technology. In the form of wireless passive sensors these objects are found in smart packaging, they form the backbone of the structural health monitoring systems, they provide non-invasive and continuous monitoring of physiological parameters, etc. RFID capability is already added to everyday items in the physical form of adhesive “smart” labels, enabling them to become “citizens” of the IoT ecosystem, but this “add-on“ approach increases the implementation cost and oftentimes impacts negatively the host item's form factor and appearance. It also does very little in terms of security and counterfeit prevention. On the other hand, the key economic factor that drives the deployment of the IoT is the cost at the end points. Therefore, the future of the IoT depends on developing an ultra-low-cost technology solution that can mass-produce low cost, RFID-enabled IoT objects on flexible substrates, ready for integration into everyday items. In some cases, such as in intelligent packaging, these objects will be non-obstructive and seamlessly integrated in their hosts. This integration will minimize the cost of implementation and will provide an insurmountable barrier to counterfeiters as they will need access to sophisticated and capital-intensive technologies in order to be able to alter or replicate the product's embedded configuration. Presented are two disruptive processes for packaging of ultrathin flexible hybrid electronic systems with ICs as thin as 15–20 μm and as small as 250 μm per side. The first generation technology is a modification of the conventional pick-and-place technique and has been already demonstrated on a commercial-grade roll-to-roll assembly line with packaging rates exceeding 10,000 cph. The second generation technology uses a laser beam to scan and transfer ultrathin, ultra-small ICs for high-precision assembly onto various flexible and rigid substrates. It provides packaging rates significantly exceeding those of the conventional pick-and-place equipment. Reported are also results from integrating the resulting ultrathin flexible hybrid electronic devices into thin materials such as paper and plastics.

A Gamification Update to the Taxonomy of Technology and Mental Health

2019 ◽  
pp. 85-97
Author(s):  
Madeline R. Marks ◽  
Amanda C. Tan ◽  
Clint Bowers
Keyword(s):  
Mental Health ◽  
Internet Of Things ◽  
Technology Acceptance ◽  
Low Cost ◽  
Cost Effective ◽  
The Internet ◽  
Mental Health Providers ◽  
Health Providers ◽  
Continuous Use ◽  
The Internet Of Things

Mental health providers cannot ignore the importance of utilizing technology in this era of the internet of things. This chapter reaffirms the need for mental health providers and software developers to work in concert with each other when developing technology for mental health. The authors also articulate the importance of the patient and the patient's role in connecting technology to the equation. As researchers and practitioners, the goal should be to create technology that will encourage repeated and continuous use of said technology and not just technology acceptance in order to move the field forward toward the provision of low-cost, effective mental health services.

Data Analytics Assisted Internet of Things Towards Building Intelligent Healthcare Monitoring Systems

2018 ◽  
Vol 30 (4) ◽  
pp. 83-103 ◽  
Author(s):  
Srinivasa K G ◽  
Sowmya BJ ◽  
Abhinav Shikhar ◽  
Ritu Utkarsha ◽  
Aahan Singh
Keyword(s):  
Pattern Recognition ◽  
Internet Of Things ◽  
Data Analytics ◽  
Monitoring Systems ◽  
The Internet ◽  
Healthcare Monitoring ◽  
The Right ◽  
The Internet Of Things ◽  
Intelligent Healthcare ◽  
Tremendous Impact

The rise in technology has had a tremendous impact in the field of healthcare. Moreover, the Internet of Things and ubiquitous computing when applied to the field of healthcare can ease the process by helping doctors better monitor their patients thereby enabling a speedy recovery. This paper proposes three systems to demonstrate the wide array of fields in healthcare and everyday life where Internet of Things can be applied. The first is a system to monitor infants while they sleep to detect crying. Once detected the system swings the cradle and also alerts the parents. The second system aims to help in rehabilitation of patients undergoing corrective knee surgery or other knee related procedures. This is done with the help of accelerometers attached to the joint which interfaces with a microcontroller and constantly monitors the knee movements. The last system aims to help the blind wear the right combination of clothing. This is achieved using image and pattern recognition.

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