International Journal of communication and computer Technologies

IoT-based Optimal Energy Management in Smart Homes using Harmony Search Optimization Technique

2024-03-04T18:12:05+03:00

The Internet of things (IoT) has a variety of application domains including smart homes. A smart home is an automated intelligent home where IoT technologies are used to remotely control home appliances, manage home energy, enhance home security, and increase the comfort of home residents. On the other hand, renewable energy resources are highly speared to cover huge electricity demand. To save more energy and maximize energy efficiency, smart homes are engaged with energy management systems. Energy management and optimization solutions can help in decreasing the overall cost of energy while optimizing all operational performance. This paper presents an IoT-based optimal energy management approach depending on the Harmony Search optimization technique to save energy usage in smart homes. PV and wind renewable energy systems are used to feed the home with electricity. These on-site energy sources help smart homes to decrease their dependence on power from the electricity grid. Energy
storage systems are used to maintain energy system reliability due to the inherent randomness and intermittence of solar radiation and wind speed. The proposed algorithm depends on-demand response to the price variations in the electric energy over time and applies the Time-of-Use pricing principle for controlling household appliances. IoT technology is applied to exchange data between household appliances and the control center, in addition, to communicating both energy management systems and security systems with the control center. In this paper, the IoT system is based on ZigBee wireless technology which is described as the lowest power consumed wireless technology. The algorithm is applied to a proposed building consisting of five floors, each floor contains two apartments with a total area of 200 meters for one apartment. The obtained results prove the efficacy of the proposed Harmony Search-based optimization method in saving energy and reducing electricity bills in smart homes while satisfying the required constraints. Additionally, the performance of the proposed algorithm is validated against four AI algorithms including Genetic Algorithm, Artificial Immune System, Ant Lion Optimization, and Bat Algorithm. In addition to its simplicity in programming and formulation, the conducted comparison demonstrates a similarity in the results with an advantage in the proposed algorithm in improving both the electricity cost-saving and elapsed runtime

Implement A System For Crop Selection And Yield Prediction Using Random Forest Algorithm

2024-03-04T18:20:17+03:00

Agriculture is the bone that plays important part in the frugality of India. India is an agrarian country and its frugality largely grounded upon crop product. It’ll allow policy makers and growers to take effective marketing and storehouse way to prognosticate crop yields before in their crop. The design will allow growers to capture the yields of their crops before civilization in the field of husbandry and therefore help them make the necessary opinions. Preparation of such a system with a use and the machine learning algorithm
an also be distributed. The results attained are granted access to the planter. and yet there are colorful styles or protocols for similar veritably data analytics in crop yield vatic nation, and were suitable to prognosticate agrarian productivity with guidance of all those algorithms. It utilizes a random forest algorithm. By probing similar problems and issues similar as rainfall, temperature, moisture, downfall, moisture, its overcome using random forest technique, acceptable results an inventions resolve the situation. In countries like India, indeed in the agrarian sector, as there are numerous types of adding profitable growth. In addition, the processing is useful of ratiocinating the product of crop yields.

Wearable Device for Heart Rate Monitoring

2024-03-04T18:23:16+03:00

The miniaturization and energy optimization of sensors opens up new possibilities in the field of sleep research. Wearable sensors are capable of recording vital parameters during sleep in a simple and unobtrusive manner. In order to analyze sleep architecture and sleep disorders, continuous monitoring of movements and cardiorespiratory parameters in high resolution is of central importance. In this paper a novel wearable sensor device based on impedance plethysmography (IPG) is presented, which is able to continuously monitor movements and cardiac pa rameters at the wrist. The sensor is designed to realize high resolution measurements up to 48 hours constantly. Measurements during sleep show that up to 98% of the pulse intervals are correctly detected. Furthermore, the comparison of the heart rate variability (HRV) parameters between IPG and the gold standard ECG demonstrate the potential of the sensor as a valid tool for ambulant sleep analysis.

Smart Sensor Infrastructure for Environmental Air Quality Monitoring

2024-03-04T18:29:05+03:00

In India, the rapid urbanization and industrialization of modern society have led to an alarming increase in air pollution levels, posing a severe threat to human health and the environment. In response to this critical issue, this project introduces an innovative Smart Sensor Infrastructure for Environmental Air Quality Monitoring. Our sensor network employs a diverse range of sensors, including particulate matter (PM), volatile organic compounds (VOCs), carbon monoxide (CO), and nitrogen dioxide (NO2) detectors

Use of machine learning for the detection, identification, and mitigation of cyber-attacks

2024-04-12T09:55:00+03:00

With the increased use of internet services for various public and private purposes, the threat of cyber-attacks is also increasing. Machine learning methods are effective against these threats. This paper aims to review these methods in terms of their utility for the detection, identification, and mitigation of cyber-attacks now and in the future. Many reviews described and discussed various machine learning methods and how each method can be used against specific types of cyber threats. However, empirical evidence did not show any clear superiority of one method over the others. The differences in research contexts and methodologies could have contributed to this uncertainty. However, deep learning methods might have an edge over shallow learning methods. Emerging new trends of cyber-attacks demand renewed research on the problem. The invention of an entirely new concept to deal with various cybersecurity issues cannot be ruled out.

Implementation of Adaptive Motion Controlled Wheel Chair

2024-04-13T05:13:44+03:00

Individuals who are physically disabled face everyday obstacles resulting from birth defects, mishaps, or diseases. Our research intends to create a wheelchair specifically designed to enable people who are unable to manage other body parts to communicate by moving their heads. Our solution, an intelligent head-motion wheelchair, combines wireless communication, obstacle detection, and an Internet of Things alarm system. Head motions are recognized and stored by the system, which establishes a “neutral position”
as the common reference. In the control mode, the wheelchair is propelled by DC motors that interpret head motions that are sensed. Interestingly, when the head returns to its neutral position, the wheelchair stays still, guaranteeing control and safety at all times. the creation and use of a wheelchair alert system that makes use of the Blynk IoT platform, an accelerometer sensor, and a Node MCU microcontroller. By quickly alerting caretakers through the Blynk mobile app when the wheelchair tilts or falls, the technology seeks
to improve user safety. Using the accelerometer sensor, the Node MCU continuously checks the wheelchair’s alignment. If there are any rapid changes that could indicate falls or tilts, it notifies the Blynk app over Wi-Fi. On their iPhones, caregivers get real-time alerts that facilitate prompt care.