scholarly journals Adaptive Quick Reduct for Feature Drift Detection

Algorithms ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 58
Author(s):  
Alessio Ferone ◽  
Antonio Maratea
Keyword(s):  
Data Streams ◽  
Related Problem ◽  
Concept Drift ◽  
Low Cost ◽  
The Internet ◽  
Process Data ◽  
Long Time ◽  
Complex Phenomena ◽  
The Internet Of Things ◽  
Quick Reduct

Data streams are ubiquitous and related to the proliferation of low-cost mobile devices, sensors, wireless networks and the Internet of Things. While it is well known that complex phenomena are not stationary and exhibit a concept drift when observed for a sufficiently long time, relatively few studies have addressed the related problem of feature drift. In this paper, a variation of the QuickReduct algorithm suitable to process data streams is proposed and tested: it builds an evolving reduct that dynamically selects the relevant features in the stream, removing the redundant ones and adding the newly relevant ones as soon as they become such. Tests on five publicly available datasets with an artificially injected drift have confirmed the effectiveness of the proposed method.

scholarly journals Development of a Smart Leg Splint by Using New Sensor Technologies and New Therapy Possibilities

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5252
Author(s):  
José María De Agustín Del Burgo ◽  
Fernando Blaya Haro ◽  
Roberto D’Amato ◽  
Alonso Blaya ◽  
Juan Antonio Juanes Méndez
Keyword(s):  
Lower Limb ◽  
Treatment Process ◽  
Low Cost ◽  
Plaster Cast ◽  
The Internet ◽  
Advanced Manufacturing ◽  
Process Data ◽  
Rehabilitation Process ◽  
3D Printed ◽  
The Internet Of Things

Nowadays, after suffering a fracture in an upper or lower limb, a plaster cast is placed on the affected limb. It is a very old and efficient technique for recovery from an injury that has not had significant changes since its origin. This project aims to develop a new low-cost smart 3D printed splint concept by using new sensing techniques. Two rapidly evolving Advanced Manufacturing (AM) technologies will be used: 3D scanning and 3D printing, thus combining engineering, medicine and materials evolution. The splint will include new small and lightweight sensors to detect any problem during the treatment process. Previous studies have already incorporated this kind of sensor for medical purposes. However, in this study it is implemented with a new concept: the possibility of applying treatments during the immobilization process and obtaining information from the sensors to modify the treatment. Due to this, rehabilitation treatments like infrared, ultrasounds or electroshock may be applied during the treatment, and the sensors (as it is showed in the study) will be able to detect changes during the rehabilitation process. Data of the pressure, temperature, humidity and colour of the skin will be collected in real time and sent to a mobile device so that they can be consulted remotely by a specialist. Moreover, it would be possible to include these data into the Internet of Things movement. This way, all the collected data might be compared and studied in order to find the best treatment for each kind of injury. It will be necessary to use a biocompatible material, submersible and suitable for contact with skin. These materials make it necessary to control the conditions in which the splint is produced, to assure that the properties are maintained. This development, makes it possible to design a new methodology that will help to provide faster and easier treatment.

Smart Railway Track and Crossing Gate Security System Based on IoT

2021 ◽  
Vol 10 (2) ◽  
pp. 1346-1355
Keyword(s):  
Human Error ◽  
Low Cost ◽  
Railway Track ◽  
Sonar Sensors ◽  
Long Time ◽  
Railway System ◽  
Direct Input ◽  
Road Crossing ◽  
Track Monitoring ◽  
The Internet Of Things

The railway system is one of the most widely used modes of transportation due to its low cost. To keep the railway system running smoothly, continuous track monitoring is needed. These days, the railway system is manually supervised. As a result, there is a greater risk of disasters, such as fatalities, occurring as a result of human error while monitoring. The main problem with manual system monitoring is that it takes a long time to process all of the necessary data. Since railway tracks are built over thousands of miles, it is virtually impossible to manually control the device over such a longdistance. At railway crossings, a lot of accidents happen. Crossing gates are usually opened and closed after receiving direct input from the station. If there is a delay in obtaining information from the station, there is a risk of swearing incidents. The main goal of this research is to simplify and protect the railway system. The proposed system employs Force Sensitive Resistor (FSR) detectors for automatic side road crossing protection. Any type of breakage, as well as vibration, can be efficiently detected with a higher degree of precision using Light Dependent Resistor (LRR) and laser detectors. In the event of an unexpected situation, such as an accident, the GSM module will begin communicating via message with the nearest control room for assistance. Sonar sensors are often used for obstacle avoidance when something unexpectedly appears in front of the train. The Internet of Things (IoT) has been added to the system to allow it to be monitored from anywhere in the sphere. The Arduino UNO is a microcontroller that serves as the system's backbone. The framework has the potential to be extremely beneficial to our country's railway economic growth.

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.

scholarly journals Cloud-Based Monitoring of Thermal Anomalies in Industrial Environments Using AI and the Internet of Robotic Things

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6348
Author(s):  
Mohammed Ghazal ◽  
Tasnim Basmaji ◽  
Maha Yaghi ◽  
Mohammad Alkhedher ◽  
Mohamed Mahmoud ◽  
...  
Keyword(s):  
Autonomous Robots ◽  
Low Cost ◽  
Industrial Area ◽  
Frame Rate ◽  
The Internet ◽  
Thermal Anomalies ◽  
First Response ◽  
Gradient Domain ◽  
Industrial Environments ◽  
The Internet Of Things

Recent advancements in cloud computing, artificial intelligence, and the internet of things (IoT) create new opportunities for autonomous industrial environments monitoring. Nevertheless, detecting anomalies in harsh industrial settings remains challenging. This paper proposes an edge-fog-cloud architecture with mobile IoT edge nodes carried on autonomous robots for thermal anomalies detection in aluminum factories. We use companion drones as fog nodes to deliver first response services and a cloud back-end for thermal anomalies analysis. We also propose a self-driving deep learning architecture and a thermal anomalies detection and visualization algorithm. Our results show our robot surveyors are low-cost, deliver reduced response time, and more accurately detect anomalies compared to human surveyors or fixed IoT nodes monitoring the same industrial area. Our self-driving architecture has a root mean square error of 0.19 comparable to VGG-19 with a significantly reduced complexity and three times the frame rate at 60 frames per second. Our thermal to visual registration algorithm maximizes mutual information in the image-gradient domain while adapting to different resolutions and camera frame rates.

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 Intelligent Baby Box Based on IoT to Observe Room Temperature and Baby Crying

2018 ◽  
pp. 114
Author(s):  
Dani Sasmoko ◽  
Dzyo Bachtiar
Keyword(s):  
Internet Of Things ◽  
Monitoring System ◽  
Respiratory Function ◽  
Room Temperature ◽  
Humidity Sensor ◽  
Cardiac Performance ◽  
The Internet ◽  
Long Time ◽  
Negative Effect ◽  
The Internet Of Things

Internet of Things (IoT) connects a global infrastructure in communities so they can take benefit of advanced services, by connecting objects (things) both physical and virtual with the Internet so that objects can communicate each other. The object of this study is a baby box to control the baby’s condition. When the baby cries too long it may cause Baby Distressed Tantrum which is the feeling of being depressed in the baby because they feel ignored. If this happens for a long time will endanger the baby's health as it is related to respiratory function and cardiac performance. The function of the baby box is to observe a baby when left without supervision. It will enable users to know if the baby is sleeping, awake or crying. Leaving a crying baby too long may have a negative effect. By applying the Internet of Things (IoT) in the design of an intelligent a baby box will help the parents and babysitter in controlling the baby if they have other activities to do. The baby box monitoring system has a dht11 temperature and humidity sensor, and a noise sensor to detect the baby crying. An esp8266 module on Wemos d1 will send data to an android smartphone and notify the user by sound or vibration.

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.  

Matching Over Linked Data Streams in the Internet of Things

2015 ◽  
Vol 19 (3) ◽  
pp. 21-27 ◽  
Author(s):  
Yongrui Qin ◽  
Quan Z. Sheng ◽  
Edward Curry
Keyword(s):  
Internet Of Things ◽  
Data Streams ◽  
Linked Data ◽  
The Internet ◽  
The Internet Of Things
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