Wi-Fi Modem Research Articles

IoT-based Environmental Monitoring with Data Analysis of Temperature, Humidity, and Air Quality

Environment monitoring has been linked to the use of the IoT. To raise awareness for the environment, the IoT system is built as an instrument tool based on a Prototyping model with an experimental approach. The hardware consists of sensors, microcontrollers, a Wi-Fi modem, powered with solar cells, and electricity integrated with IoT platforms Blynk and ThingSpeak. The prototype detectors were installed in two different locations at the Universitas Klabat. The IoT systems can store data, display information, and send push notifications as alerts to the user’s smartphone when critical conditions emerge. In the two locations for a specified time of May 2023, the data analysis shows average temperatures are 28,39˚C and 28,44˚C, where 28˚C is the optimal value. The average humidity shows 90,18%RH and 85,28%RH. These humidity values are critical because the humidity outside 40-60%RH can significantly impact health. The average air quality shows 59,62 AQI as “moderate” and 3.7 AQI as “good”. While “good” air quality is the best, “moderate” is safe because only when a value higher than 100 is unhealthy. The IoT system can help to monitor and provide real-time information about the environmental parameters.

Monitoring subsidence of open pit mine slope based on GNSS/CORS technology - case study at the Coc Sau open-pit coal mine

Subsidence value is one of the important parameters to evaluate the stability of open pit mine slope. The subsidence is determined from height values measured at different times using different methods and equipment. When applying GNSS/CORS technology to monitor displacement, landslides, ground subsidence or structures, a specialized monitoring system is needed to ensure the necessary accuracy. This article presents the results of research on subsidence monitoring of open pit mine slope based on CORS technology and a self-developed GNSS receiver. The CORS station is set up with Trimble's Zyphir 2 Geodetic antenna and Stonex GNSS receiver located in Cam Pha city, Quang Ninh. The GNSS receiver for monitoring station is designed and developed based on the Trimble's GNSS BD970 board and integrated with a 4G wifi modem, allowing the transmission of monitoring data in standard NMEA0183 format to the CORS station's host computer. Decoded monitoring data and error filtering have improved the accuracy of height determination achieved at the mm level. Results of simulation experiments and experiments with actual monitoring data at Coc Sau coal mine, Cam Pha, Quang Ninh have proven the effectiveness and reliability of the method. With simulated experimental monitoring results, it shows that the largest subsidence difference is 16 mm and the smallest is 6 mm.

An Automated Irrigation System for Smart Agriculture Using the Internet of Things

Water is a valuable but limited agriculture resource, and it is becoming harder to manage it efficiently. This paper discusses a system of an automated irrigation that integrates the cloud computing, tools, and IoT (Internet of Things) for optimization in order to reduce water usage in the agriculture. Low-cost sensors have been utilized by the automated irrigation system to monitor important factors like soil type, pH, soil moisture, and meteorological conditions. For information storage & analysis, the data is kept in the Thing speak cloud service. The field data is sent to the cloud by utilizing the networks of GSM cellular as well as a Wi-Fi modem. Subsequently, using an optimization model, the ideal irrigation rate is determined. This rate would then be automated by utilizing a solenoid valve & regulated by an ARM controller (WEMOS D1). The essential variables are available to farmers as a cloud-based service. When the recommended approach is used in a pilot-scale agricultural operation, our findings show a decrease a water use, a rise in the amount of data available, and better imagining.

Effects of Aerobic Exercise Along with Garlic Supplementation on Oxidative Stress and Sex Hormones in the Ovarian Tissue of Rats Under Wi-Fi Electromagnetic Radiation

Background: Electromagnetic radiation has different effects on body organs, including gonads and fertility. Information about the harmful impacts of Wi-Fi radiation on the oxidant-antioxidant system of ovarian tissue is limited. Objectives: Therefore, the present study aimed to evaluate the influence of eight weeks of aerobic exercise along with garlic supplements on the levels of superoxide dismutase (SOD), malondialdehyde (MDA), glutathione peroxidase (GPx), and sex hormones in the ovarian tissue of rats under Wi-Fi electromagnetic radiation. Methods: This experimental study was performed on 40 Sprague Dawley female rats aged about 8 weeks. The animals were randomly divided into 5 groups: control, Wi-Fi radiation, aerobic exercise + Wi-Fi radiation, garlic supplement + Wi-Fi radiation, and aerobic exercise + garlic supplement + Wi-Fi radiation. Wi-Fi radiation was induced 1 h/day at a frequency of 2.45 GHz from a Wi-Fi modem. Endurance exercise was performed as three 60-minute sessions per week for 8 weeks with 50%-60% maximum running speed. Garlic supplement was given to rats for 8 weeks in drinking water at the dose of 800 mg/kg daily. Results: The results of this study showed that Wi-Fi radiation led to a decrease in the SOD and GPx levels, as well as an increase in the follicle-stimulating hormone (FSH) and MDA levels in rats (P ≤ 0.05). Moreover, garlic supplements diminished the FSH and MDA concentrations, as well as elevated the SOD levels in rats under Wi-Fi radiation. It was observed that aerobic exercise caused a decline in the FSH and MDA levels and a rise in the luteinizing hormone and SOD of the rats under Wi-Fi radiation. Furthermore, aerobic exercise along with garlic supplements reduced the FSH levels and augmented the SOD and GPx concentrations in rats under Wi-Fi radiation (P ≥ 0.05). Conclusions: According to the findings of the present study, aerobic exercise and garlic supplements both have lowering effects on oxidative stress and synergistically increase antioxidants. In addition, aerobic exercise and garlic supplements alone improve the sex hormones of rats exposed to Wi-Fi radiation.

IOT based Smart Agriculture Monitoring System Project

Abstract: The need for efficient and effective agriculture has led to the development of IoT based smart agriculture monitoring systems. This article covers Arduino, GSM modem, WiFi modem, temperature sensor, humidity sensor, water sensor, mini fan, water pump fluid, crystal oscillator, resistors, capacitors, transistors, cables and connectors, diodes, PCBs, LEDs, transformers/a dapters, buttons, switches and IC sockets. The system allows realtime monitoring and control of the environment necessary for cultivation and optimization. Integrated with advanced technology , the solution enables farmers to make data-driven decisions and improve farming.

The IoT Based Health Monitoring with Alcohol Detection And Control System

Accidents caused due to drunken drive are increasing tremendously in this modern world. To prevent these kinds of accidents, we propose an IoT based health monitoring system with alcohol detection and control. The proposed project is designed to reduce accidents caused due to drunken driving. Globally the cases of accidents are increasing due to this aspect. In order to prevent these accident cases, in this project an IoT based method has been designed. In that Arduino, Alcohol Sensor, Heart beat rate sensor, Global System for Mobile communication, Wi-Fi modem, are utilized. Once the alcohol rate and heart beat rate are exceeding the specified limit, the command will be given to the ignition system of the vehicle to stop the operation of the vehicle.

Internet of Things Enabled Intelligent Automation for Smart Home with the Integration of PSO Algorithm and PID Controller

Currently, due to the widespread population growth, there is a widespread concern about an electricity shortage. As a result, smart devices have evolved and gained significant attention to reduce power consumption in home appliances due to electricity shortages. However, it lacks a universal remote control that can control home appliances based on environmental conditions. To overcome these challenges, this study proposed a hardware-based remote-control system that operates both in autonomous and semiautonomous modes to control home appliances based on environmental conditions. In the autonomous mode, the receiver section regulates the parameters under ambient conditions by varying the appliance’s applied voltage levels via a dimmer. The parameters in semiautonomous are monitored by the user via various levels of remote control. A 2.4 GHz RF modem is used to establish wireless personal network (WPAN) communication between the remote and the receiver. In addition, a Wi-Fi modem is built into the receiver to enable internet-based mobile applications to operate appliances. During the MATLAB analysis, a proportional integral derivative (PID) controller with a particle swarm optimization (PSO) method was found as a superior approach to control the home appliance with adequate environmental conditions. It is concluded from the MATLAB study that the PSO-PID controller delivered an energy saving of 14.88% for the heater, 36.9% for the exhaust fan, and 37.49% for the light bulb compared to the conventional appliances.

River Flood Early Warning System Based on Internet of Things in Binjai City

Flood is an event of inundation of land, which is usually dry, by water originating from water sources around the land. Binjai City is an area prone to flash floods. This is because in Binjai City there are 5 (five) upstream rivers namely the Bingei river, Mencirim river, Bangkatan river, Diski river and Rambai river. A flood early warning system is a series of systems that function to notify an impending flood disaster. With the existence of a flood early warning system, it can provide information to the community and can reduce victims or losses due to the community's unpreparedness in dealing with flood disasters. This study aims to create a prototype of a river flood early warning system based on the internet of things (IoT). The method used is to design and create a flood early warning system prototype, then perform system testing. The system is designed using the Arduino Mega2560 microcontroller as the system control center, the HC-SR04 ultrasonic sensors and the ESP32-Cam camera module as system input, as well as buzzer, LCD and website as system output. The transmission medium used is wireless via a 4G WiFi Modem connected to the internet. System prototype testing will be carried out in the Bangkatan river area in Binjai City. From the results of the discussion, it was found that the river flood warning system using the HC-SR04 ultrasonic sensor and the ESP32-Cam camera module based on the Internet of Things was successfully designed and implemented in prototype form and worked well. Ultrasonic sensors work well in measuring river water level with an average error percentage of 3.642%. The ESP32-Cam camera module works well in capturing images of river water conditions up to a distance of 200 cm. (9 pt).

Assessment of Hydration Mechanisms, Rheological Behavior, and Sorptivity of Portland Cement Pastes Using Low-Cost Arduino Platform-Based Sensors

This study assesses hydration, rheology, and sorptivity of cementitious pastes using relatively low-cost Arduino-based platforms with integrated sensors. The prime objective is to develop a correlation between conventional apparatus-based and Arduino-integrated sensor-based assessment. A total of six samples of cementitious paste were prepared at a room temperature of 26°C, with a w/b ratio of 0.3, containing cement, fly ash, and silica fume. First, the conventional apparatus was employed to assess hydration, rheology, and sorptivity of cementitious mixes. Afterward, a platform arranged for data acquisition, comprising Arduino Mega 2560, a temperature sensor, a soil moisture sensor, and a voltage supply, was used to assess the same properties. The recorded temperature and moisture content data were transmitted using the Android application and the Wi-Fi modem router. A 5-minute moisture analysis test was conducted to monitor the rheological behavior of cementitious mixes. The heat of the hydration mechanism was evaluated for 32 hours using a temperature sensor, enabling continuous and real-time monitoring. Moreover, a sorptivity test on cube samples was performed using shielded self-based apparatus in an adiabatic condition, resulting in relatively long-term monitoring. The microscopic details are analyzed by using a scanning electron microscope (SEM) in conjunction with EDX analysis. Thus, the potential application of the inexpensive sensor-based method is verified.

DECISION SUPPORT SYSTEM FOR WI-FI MODEM SELECTION USING MULTIPLE ATTRIBUTE DECISION MAKING WITH TOPSIS

Modem is a device that has the ability to connect cellphones, PCs or laptops to the internet network. The type of modem that is popular today is MiFi or Wi-Fi Modem, which is a portable modem that makes it easier for users to carry the device anywhere. Currently, there are many Wi-Fi modems circulating in the market with various brands and brands that have different specifications and capabilities. For this reason, people must be observant in choosing the right Wi-Fi Modem for their needs. The selection of the right Wi-Fi Modem will maximize the performance of the internet network so as to facilitate activities in internet use. The purpose of this research is to be able to develop a decision support system by implementing the Multiple Attribute Decision Making (MADM) approach using the TOPSIS method for the selection of a Wi-Fi Modem, in order to facilitate the selection of the best Wi-Fi Modem and according to user needs. Based on black-box testing, it shows that the system built can run well. In addition, the calculation results of the TOPSIS method generated by the system with manual calculations produce the same value.

Stereological examination of the effect on the hippocampal dentate gyrus granule cells number of rats subjected to wireless internet during prenatal period: a preliminary study

As a result of industrialisation and the many recent advances in technology, we are being intensely subjected to non-ionised radiation sources. As such, the effect of non-ionised radiation on human tissue is now being researched. In this study, the effects of Wi-Fi waves found in some third-generation mobile phones to facilitate internet connection on the brain hippocampal dentate gyrus granule cell quantity of rats during the prenatal period was stereologically examined. During the study, mated albino rats were subjected to Wi-Fi throughout pregnancy. A month after giving birth, six rats from each group, for a total of 12 rats, was sacrificed under perfusion and anaesthesia. Their skulls were opened and brains were removed to undergo routine checks in which the granule cells were counted. Strategic sections were defined, and every 45th section couple (with a thickness of 5 μm) was taken and dyed with haematoxylin and eosin (H&E) and cresyl violet stain. The granule cells were counted using a combination of the stereological disector method and Cavalieri’s principle. Then, the results were analysed using the Mann–Whitney U test. No statistically significant difference has been observed between the groups (p > 0.05). The findings were discussed in light of the relevant literature, and it was determined that throughout pregnancy, Wi-Fi modem device did not result in any changes in the dentate gyrus granule cell count of the hippocampus of postnatal rats’ brains.

Temperature and pH Monitoring System Design in the Fermentation of Cocoa Beans Based on Android

The fermentation of cocoa beans is a key step in increasing their quality. Temperature and pH have an impact on the fermentation process' performance. Until, temperature and pH measurements in the cocoa bean fermentation process have been done with a thermometer and a pH meter, and have been heavily impacted by experience and knowledge. The goal of this research is to create a temperature and pH monitoring system for the fermentation of cocoa beans using an android platform. The sensor must be able to measure temperature and pH during the fermentation process, and the sensor reading data must be displayed on the android display, according to the system design criteria. A temperature sensor, pH sensor, microcontroller, TP-Link or WiFi modem, ThingSpeak (data storage), and Smartphone make up the system's hardware. Arduino CC software version 1.8.14 was used to create the software. The system hardware was made up of numerous components, including the NodeMCU ESP32 microcontroller, SKU SEN0161 pH sensor, DS18B20 temperature sensor, 4.2k resistor, jumper cable, and 5 volt charger adaptor, according to the results. A plastic container houses the electronic system circuit. The monitoring system can read the temperature and pH during the fermentation process, which lasts 112 hours or 6 days, according to the performance test findings. During fermentation, the temperature of cocoa beans ranged from 27.19 °C to 41.75 °C, with the pH fluctuating between 2.50 and 7.10.

System Health and its Prognostics Estimation for Industrial Applications Using IoT

Internet of Things (IoT) is another innovation getting famous with major modern applications, because of its adaptability and execution possibility with any sort of cycle. Presently days it is important to share the information gained from one highlight any region of the planet. Just this is conceivable assuming that the information is posted into the web utilizing trend setting innovation. It needs solid web association and installed server to gain the information and to post it utilizing remote loyalty (Wi - Fi) modules. The information's gathered is stacked into the cloud for additional handling. There are four significant boundary is taken for thought they are pH, Co2 level, stickiness and temperature of the plant. These boundaries are detected and shut circle control framework is intended for two boundaries to keep it inside limits. The installed server is utilized to handle the information and to frame a neighborhood shut circle framework. Aside from controlling these boundaries these information's are shipped off the remote cloud server utilizing a wi - fi module associated with the implanted server a through Wi-Fi modem. There are cloud space is accessible like temboo and think space pages. The figures gathered were stacked into the above mists.

Rancang Bangun Sistem Keamanan Dan Pengendali Jarak Jauh Sepeda Motor Menggunakan Android Berbasis Nodemcu ESP32 dan GPS

Technological developments have penetrated various fields, including motor vehicle safety. The manufacturer's standard locking system is deemed insufficient to protect motorized vehicles from theft. A combination of software and hardware is required to create an additional security system. The purpose of this research is to design and build a motorcycle safety device using IoT-based GPS. The system is designed when a forced vibration occurs in the ignition zone, a warning message is sent via the Blynk application and the horn sounds. To turn on the machine, you can via the widget in the Blynk application, the Contacts button is ON, then press the Machine ON to turn off the machine by pressing the Contacts OFF button in the Blynk application. To detect the location of a smartphone-controlled motorcycle with the Blynk application. The design of this tool uses several components, namely the SW-420 vibration sensor as an engine warning indicator sensor, the Neo6mv2 GPS sensor as a coordinate sensor, using the NodeMCU ESP32 microcontroller to process data and communicate with a WiFi modem and use a relay as a control button to turn on and off the engine, turn on horn. All components require a 5V supply voltage from a 12V motor battery, this voltage is reduced to 5V with the LM2596 module.

Voice controlled Camera Assisted Pick and Place Robot Using Raspberry Pi

Modern monitoring systems or manufacturing machines have a major drawback as they depend on human operators who can easily get distracted or make mistakes, so a system is needed that can constantly monitor the desired area and make decisions while identifying a pre-trained object. Tracking objects with a camera is critical in any automated monitoring and tracking system. The main goal of this paper is to design and implement a robot that can distinguish objects based on their features, such as color and size, and based on artificial intelligence and image processing algorithms. The robot will analyze the video stream to detect the colored object, and specify its location inside the video frame. Using the detected position, the raspberry pi will decide the rotation direction whether it is to the right to the left, or forward until it reaches the object, grabs it and puts it in the robot's pocket. The main controlling unit of the system is the Raspberry Pi, the robot is equipped with a Wi-Fi modem to communicate with the mobile application, which is used to control the robot in two modes: manual mode, where the user can point the robot in any direction either by pressing function button or through voice commands. The second mode is the Automatic mode, where the user can ask the robot to detect an object according to a set of characteristics and grab it without any human intervention and based on a novel digital image processing object-tracking algorithm, the accuracy in voice command mode has reached 95%.

Optimization of the Use of Information Technology in Learning Administration at SDN Hurip Jaya 03

Information Technology have to be an enabler of every activity. With the information technology, the effectiveness and efficiency of work shoultd be increase. The obstacles faced, with the existence of information technology, can be an alternative solution. SDN Hurip Jaya 03 Babelan is a school located on the north coast of Bekasi Regency. This school has a challenge where cable internet access from Provider has not yet entered so that educators and education staff, students use independent resources for internet access. Administrative and learning activities already use computers but have not utilized cloud applications such as google forms, google classroom, and shorter url applications for learning e-learning. The educators and education staff are also still working with computers in typing so that their work is less effective. The solution we provide is to share knowledge, knowledge, experience and resources in providing solutions to existing problems. The activities that have been carried out are providing wifi modem and usb wifi resources for internet access, training in fast typing the 10 finger method, using google forms and google classroom for administration and learning, as well as the bit.ly application for naming links to make reading easier. We hope that if the material presented can be trained and applied seriously, it will certainly be useful in supporting administrative and learning activities.

Automation of Home (IoT) using Raspberry Pi

Internet of things is the present technology that permits us to control hardware via the internet. Using IOT system, we can link the physical devices and possess the ability to send or transfer data over a network with either human-to-human or human-to-system interaction. This paper explains how to control home appliances using Internet of Things. The microcontroller we are using for this project is Raspberry Pi. The Raspberry Pi is interfaced with Wi-Fi modem for transmitting and receiving commands over the internet. To switch loads, we are using relays. Once the user passes instructions over the internet to switch on the appliance, the raspberry pi processes these commands and operates accordingly. Liquid Crystal Display is used to display the status of the system. Hence, IOT based home automation setup allows us to control home appliances over the internet.

IOT Based Tool Garbage Management System

These days, safe and hygiene disposal of waste via dustbins in smart cities needs a centralized and monitored system. This system monitors various bins used for rubbish and garbage collectionextent is also informed inside these garbage bins via centralized online Application. For this the system the bins are fitted specially placed ultrasonic sensors to determine the level and depth of rubbish. It incorporates an AVR based microcontroller, GSM Module, Wi-Fi modem, a buzzer for alert and LCD screen for viewing data. The voltage support is given by a 12V transformer. To determine the display status and the extent to which the rubbish bin is loaded an LCD screen is used. These LCD screens are used inside the rubbish bins. To point out the condition however the web application is designed which is used to monitor the garbage or rubbish bins. The geographical view of rubbish bins can be obtained by the web page and also these web pages indicate the colored rubbish that they can highlight

Chronic exposure to 2.45 GHz microwave radiation improves cognition and synaptic plasticity impairment in vascular dementia model

Purpose: In this study, we evaluated the effects of 2.45 GHz microwave radiation on cognitive dysfunction induced by vascular dementia (VaD). Methods: The VaD was induced by bilateral-common carotid occlusion (2-VO). The rats were divided into 4 groups including: control (n = 6), sham (n = 6), 2-VO (n = 8), and 2-VO + Wi-Fi (n = 10) groups. Wi-Fi modem centrally located at the distance of 25 cm from the animal's cages and the animals were continuously exposed to Wi-Fi signal while they freely moved in the cage (2 h/day for forty-five days). Therefore, the power density (PD) and specific absorption rate value (SAR) decreased at a distance of 25 to 60 cm (PD = 0.018 to 0.0032 mW/cm2, SAR = 0.0346 to 0.0060 W/Kg). The learning, memory, and hippocampal synaptic-plasticity were evaluated by radial arm maze (RAM), passive avoidance (PA), and field-potential recording respectively. The number of hippocampal CA1 cells was also assessed by giemsa staining. Results: Our results showed that VaD model led to impairment in the spatial learning and memory performance in RAM and PA that were associated with long-term potentiation (LTP) impairment, decrease of basal-synaptic transmission (BST), increase of GABA transmission, and decline of neurotransmitter release-probability as well as hippocampal cell loss. Notably, chronic Wi-Fi exposure significantly recovered the learning-memory performance, LTP induction, and cell loss without any effect on BST. Conclusions: The LTP recovery by Wi-Fi in the 2-VO rats was probably related to significant increases in the hippocampal CA1 neuronal density, partial recovery of neurotransmitter release probability, and reduction of GABA transmissiSon as evident by rescue of paired-pulse ratio 10 ms.

WITHDRAWN: IoT based garbage bin monitoring and decluttering system

To provide accountability and a vast number of distinct and varied end systems flawlessly, the Internet of Things is integrated. The waste bin has to be tracked from overflowing to create a clean city. The bin is tracked by an ultrasonic sensor, which ensures the bin's level and contrasts it with the bin's depth. The sensor supplies the microcontroller with the data. To monitor the scheme, Arduino is used. The microcontroller provides information via a Wifi modem to the control room. On the processing side of the waste, decluttering happens. The garbage is transported to the landfill, a plant is installed in the dump, where decluttering is taken into account. For energy extraction, the biodegradable materials are isolated. You will display this amount of waste data on the web page in the control room in order to provide transportation.