Search

As the world is evolving and technically advancing, people need a lot of gadgets to be interconnected for the smooth functioning of the system and every gadget requires a certain amount of energy. Now with so many gadgets being used energy consumption has become a major threat to the world. Some devices take a lot of time to charge, and sometimes users even forget to turn off the charging port which leads to more energy loss and thus more carbon emissions. The proposed solution is to build a device that not only charges the devices but also stores the energy. The port auto-cuts the charging when a device is fully charged and stores the extra energy. In this paper, we have gone through different papers and have analyzed the algorithm they are using and their disadvantages. This survey contains a wide range of algorithms used for energy saving by researchers so as to learn more about green IoT and energy saving. Researchers can use this survey's insightful results as a guide to developing novel systems for energy storage. [ABSTRACT FROM AUTHOR]

The Internet of Things (IoT) is one of the modern technologies currently used. The IoT system consists of interconnected devices such as technological devices, sensors, and actuators that can collect data to transfer it without human intervention. Internet data could be reached either through a private web page via a smartphone or a personal computer. IoT has increased uses at the present time, which is used in industrial, health, agricultural sectors, etc. To do that, the cities will be Smart to enhance the daily activities of users by reducing the time consumed to access the required information. This paper provides a prototype for the application of a Smart campus that depends on the IoT. This paper also includes choosing the building of science departments in the College of Engineering Technology Najaf as an example of a Smart campus. The Packet Tracer v8.2 from Cisco involved many devices and components used to simulate the network in reality. [ABSTRACT FROM AUTHOR]

The increasing number of cars introduced a new problem of parking in malls, offices, etc. This problem is getting worse day by day and results in wastage of time of people and extra emission of carbon dioxide in searching for car parking in the parking area. To tackle this problem this paper will be proposing a model which uses new generation technologies like the Internet of Things, Cloud computing. In this paper we have proposed the whole model in three parts which are physical set up, cloud set up and customer set up. We have proposed a smart parking solution using optical through-beam sensors, which sense the light and based on that decide whether the parking is available or not. Due to cloud technology, we are benefiting from the cost by a great factor as we don't need physical centers for each parking arena separately. Thus, in the coming years, this model can be scaled to each parking arena in the world with the usage of cloud computing as the world is facing the same issue. [ABSTRACT FROM AUTHOR]

This paper offered a framework on the Internet of Things (IoT) to observe and control the largest number of distribution electric transformers in Mosul city. This method has the advantage of providing continuous monitoring of electrical distribution transformers as load current, voltage, winding temperatures, oil level, and oil temperatures to provide timely alerts to correct if there is a malfunction to convert conventional monitoring to smart monitoring. As a result, the life of distribution transformers is extended, lowering the cost of maintenance. This paper suggests a design that utilized LoRa-WAN based on the IoT by using LoRa modules to send this data across a LoRa gateway that communicate to server via Cloud platform on the internet. If any of the distribution transformer's end devices (EDs) parameters exceeds the predetermined value, the EDs will send alerts to LoRa-Wan. After loRa will receive these alerts, the network then will implement the necessary action. This paper provides an implementation of simulation software (omnet++) program to assess the LoRa performance as implemented through the framework of FLoRa to simulate transformers for electrical distribution. The results of the study demonstrated the ability of modeling and simulating different environments by assigning suitable parameters value of LoRa for the carrier frequency, coding rate, spreading factor, bandwidth, and power transmit. Network performance has been improved through minimize the energy consumption for EDs and increase of the packets delivery ratio by reducing the size of the network's area, incrementing the number of LoRa gateways, and reducing the distance between the EDs and the gateway. [ABSTRACT FROM AUTHOR]

This paper discusses a keen way to manage and distribute water from a water tank or reservoir to consumers with minimal wastage. The aim of this paper is to discuss about the implementation of an IoT (Internet of Things) based water distribution system that will diminish the water wastage by consumers. The setup can be extended from a small society to the entire urban infrastructure. The proposed system consists of a waterflow sensor, actuator, microcontroller (ESP8266), and a web-application which can remotely control, cut, monitor, and analyze the water usage. Administrators will have access to restrict the water flow and upon consumers' requests ancillary water can be supplied. Also, this system is equipped with machine learning techniques for predicting the usage and learns the flow patterns of water among different user spaces, which will be useful to estimate the water requirements. Also, classify consumers based on their usage. The application is equipped with a reward system where consumers are rewarded with ancillary water when their consumption is minimal. [ABSTRACT FROM AUTHOR]

This Multi-limit patient screen gets the physiological basic signs ceaselessly screens the patient by utilizing RFID tag of the individual. This frameworks and Internet of Things (IOT) in clinical thought. In this paper, we have arranged an IOT based framework where four cutoffs to be unequivocal heartbeat, temperature, wetness, and ECG are seen utilizing relating sensors. The undertaking seeing flourishing by utilizing RFID names for the specific individual information can be store on IOT. Standard clinical security information is at true danger of divulgence, and many related cases have happened all through the critical length. Individual clinical security information can be reasonably leaked to insurance working conditions, which bargain the privacy of people, yet similarly thwarts the sound improvement of the medical industry. In This paper to address clinical affirmation we utilized the RFID progress, proprietor necessities to login to the arrangement and proprietor will bring with or without set data from things talk where suitably all data moved by the stuff and make one record and store it into cloud. Since information proprietor can share to another client. Client needs to pick and login to the arrangement then they can download data which straightforwardly sent by proprietor. [ABSTRACT FROM AUTHOR]

Agriculture is the backbone of success of rural countries like India. In this way, the proposed procedure is to utilize mechanization and web of thing (IoT) innovation to form agribusiness smart. There are currently several commercial IoT frameworks for water system planning that create differentiators for water monitoring and storage. However, this framework focuses on exploiting newly available water resources without controlling the selected water resources. Think about it, an inexpensive Arduino-based IoT framework was developed to design a computerized water system, and it will provide estimation of water requirements by using low-cost available sensors. This paper is around IOT based keen cultivating and water structure framework. The extreme motivation of this paper is to computerize the method of watering to plants. This work makes a difference us to notice the values of different parameters like moisture, temperature, humidity of plants and water them appropriately. This can be done utilizing Arduino board, voltage controller and transfer which commands the engine. In this paper, we have created an brilliantly water system framework that will control the water apportioning to the trim intelligently without any administrator and endeavors low-cost Arduino-based water system gadgets, sensors, particularly advanced procedures actualized in water system frameworks and farming, such as shrewdly water system frameworks. The main vision of this research is to detect minimum amount of water needed to nourish plants. Mass of the ranchers waste time instead of focusing on providing water to the crops at the time of need. The proposed framework find out the desired quantity of water on the basis of information received through the sensors - The main advantage of the system is the use of precision agribusiness and cloud platforms, which can expand the water use compost, which also helps in decision making. to increase crop yields. the weather conditions of the field. This article moreover points to create the water system framework for domestic gardening and this framework can be kept up without any human checking. It consequently checks the dampness of the soil beneath the tree and plants within the domestic cultivate and in case the dampness is moo it demonstrates the message and pours water naturally to the plants from the water capacity to which it is associated. The exact utilization of water system strategy is needed as there may be a requirement of precipitation or there may be dried regions. For this cause, a mechanized water system framework is utilized in which it is appropriate in all weather conditions. The soil dampness detector will sense the water substance and demonstrate either to pump the water or not. This will offer assistance to diminish the wastage of water additionally makes a difference to grow the plants indeed in the event that the human isn't physically present. The developed IoT framework has been tested in several field tests to calculate sensor accuracy, independent monitoring and operation, and usability monitoring, and to evaluate its capabilities and functionality. This framework appears to have been used effectively for the management and control of various water resources: water, groundwater, seawater and wastewater. By extension, it has been shown that the frame can be used for long periods without a source of control, which will make it a ideal device for using in annual crops. [ABSTRACT FROM AUTHOR]

Vending machines are essential since many people depend on them to obtain products quickly. This paper aims to develop an innovative smart vending machine that uses Internet of Things(IoT) to dispense products in a cashless, more secure way and in less time compared to Radio frequency identification(RFID) based vending machines. Materials and Methods: This paper presents an innovative smart vending machine design and implementation with IoT and the NodeMCU module. The design allows accessing the required products via the mobile application. A total of 200 samples are used to verify the performance of the IoT based vending machine. In the vending machine, the products are assembled as per the size and shape for proper dispensing of items. Results: The IoT-based vending machine has an average mean time of 17.5 seconds for dispensing a product and has an accuracy of 90%, whereas RFID-based vending machine has an average mean time of 22.2 seconds for dispensing a product and has an accuracy of 75%. Conclusion: In this paper,it is found that the IoT-based smart vending machine outperforms the RFID-based vending machine. [ABSTRACT FROM AUTHOR]

The delay in the doctor's arrival to the patient and the difficulty of diagnosis the patient's condition consistently is one of the health issues that this field suffers from it. Internet of things (IoT) based on health monitoring systems are very valuable for patients where the doctor can know the patient's condition from anywhere in the world. This research presents a real-time Smart Healthcare Monitoring System Based on an IoT Environment. This system will be able to measure values of body temperature, heart pulse rate, and oxygen saturation in patients using a small device that contains a set of sensors such as a body temperature sensor, heart rate sensor, and oxygen sensor, as well as a processor that collects data and transmits it via internet, so a specialist can view the results any time and from any location by utilizing a mobile application. this paper aims to present an architecture design in order to develop of health monitoring system and to describe the main required components proficient for producing efficient and accurate health monitoring. In this work, the high price and size of the device were taken into account, and the problem was addressed by reducing the size of the components and connecting them with a small "Arduino mini", which in turn is low in cost. This system is efficient because of its low power consumption, ease of setup, great performance, and quick response time. [ABSTRACT FROM AUTHOR]

Timely identification of diseases in crops and taking immediate actions to prevent them from being completely destroyed is a key part of agricultural production. Environmental challenges like unfavorable weather conditions and climate changes directly affect the plant growth and it causes viral infections that can lead to the eradication of the crops. Microorganisms such as bacteria and fungi can also cause various diseases in plants. In order to provide the accurate and better solution for a plant problem, the farmers first need to identify the exact kind of illness that the plant is having. The existing method of manual diagnosis of plant diseases by a field expert is time consuming as well as costly. Farmers cannot afford the cost of frequent visits to remote laboratories for diagnosis. The use of advanced and effective deep learning models can solve this problem and predict plant diseases at an early stage. IoT has become very popular in the agricultural industry as it provides state of the art solutions to plant problems. This paper aims to study the recent related works on this area and to analyze the advanced methods and models used in the implementation and to allow future research to learn larger capabilities of IoT and Deep Learning in proactively detecting the plant diseases with improved system performance and accuracy. [ABSTRACT FROM AUTHOR]