International Journal of Reconfigurable and Embedded Systems (IJRES)
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Vehicle detection and classification using three variations of you only look once algorithm
Get PDFVehicle detection and classification are essential for advanced driver assistance systems (ADAS) and even traffic camera surveillance. Yet, it is challenging due to complex backgrounds, varying illumination intensities, occlusions, vehicle size, and type variations. This paper aims to apply you only look once (YOLO) since it has been proven to produce high object detection and classification accuracy. There are various versions of YOLO, and their performances differ. An investigation on the detection and classification performance of YOLOv3, YOLOv4, and YOLOv5 has been conducted. The training images were from common objects in context (COCO) and open image, two publicly available datasets. The testing input images were captured on a few highways in two main cities in Malaysia, namely Shah Alam and Kuala Lumpur. These images were captured using a mobile phone camera with different backgrounds during the day and night, representing different illuminations and varying types and sizes of vehicles. The accuracy and speed of detecting and classifying cars, trucks, buses, motorcycles, and bicycles have been evaluated. The experimental results show that YOLOv5 detects vehicles more accurately but slower than its predecessors, namely YOLOv4 and YOLOv3. Future work includes experimenting with newer versions of YOLO
S11 parameter results comparison in reconfigurable antennas under simulation and measurement
Get PDFIn this paper, a simulation and measurement return loss parameter results comparison in frequency reconfigurable antenna is proposed. More lowprofile and compact microstrip antennas have been developed in recent years for 5 GHz, 5G, WLAN, Wi-Fi, and ISM band applications. These antenna frequency bands may be single, dual, or multiband. The small microstrip antenna, without connecting any external devices like switches, resonators, and passive elements, does not show any variations in their simulation and measurement results like return loss (S11 parameter), gain, and efficiency. However, in the S11 parameter most frequency reconfigurable antennas show a mismatch between simulation and measurement results. The reason for this mismatch between the simulation and measurement results are given in the paper
An internet of things-based touchless parking system using ESP32-CAM
Get PDFAs technology continues to advance, governments around the world have implemented health protocols to minimize direct contact between individuals and objects, in response to the ongoing COVID-19 outbreak. To address this need, a touchless parking portal was designed using a microcontroller-based and internet of things (IoT) -based system, with the Arduino UNO microcontroller device serving as the core component. The system employs an ultrasonic sensor HC-SR04 and passive infrared (PIR) to detect vehicles as they arrive at the portal area, in addition to requiring an ESP32-CAM camera, servo motor, light-emitting diode (LED), I2C 16x2 liquid crystal display (LCD), push button, universal serial bus (USB) to transistor-transistor logic (TTL) converter, power supply, and portal bar. The system builder software was developed using Arduino integrated development environment (IDE), Android, and Blynk. The authors conducted thorough testing and analysis of the system, concluding that its overall performance reaches 100%. Nevertheless, despite the extensive experimentation conducted, there remains a possibility that certain factors could still affect the results. Therefore, caution is advised when interpreting the outcomes of this experiment
Experimental study on the effects of injection timing using reuse of waste energy as a fuel on a diesel engine
Get PDFIn the course of this study, an eco-friendly alternative fuel was manufactured by transesterifying waste oils with the help of alcohol and a catalyst. As required by the American society for testing and materials (ASTM) requirements, we conducted an analysis on the acquired waste cooking oil biofuel (WOB) to determine its most important properties. We were successful in producing three separate fuel mixes, which we will refer to as BF100WOB0 (100% diesel), BF80WOB20 (80% diesel and 20% biofuel), and BF0WOB100 (100% biofuel) respectively. This research used a diesel engine with direct injection; the engine had a single cylinder, and the computer that operated it was located in the cabin. The results showed that the BF80WOB20 had a 3.8% increase in fuel consumption and a 1.4% loss in thermal efficiency while it was at a temperature of 26.5° b top dead center (TDC) conditions with low injection time led to decreased levels of both nitrogen oxides (NOx) and hartridge smoke level (HSL) emissions. The addition of 20% WOB to the fundamental fuel improved the engine combustion characteristics at 26.5° b TDC. This improvement occurred at the same time
An effective gossip routing based wireless sensor network framework for forest fire detection
Get PDFThis research looks about a counsel structure that uses degree-supervised snitch to consider allocated sensor networks. Level managed snitch is a proposed process that combines evening out and invading together. This strategy reduces the number of possible messages by delivering them via the base station mechanism, hence increasing the sensor neighborhood’s presence time. The sensor district, which contains numerous sensor centers, is dynamically assigned into phases of extended clear by the use of various energy ranges at the base station. The game design divides the entire sensor neighborhood into distinct concentric zones based on distance from the base station, with the group being routed from high-capacity center to center locations within the lower-capacity zone. The transmission of information proximity of the forest fire to the base station will increase the opportunity. The primary benefit of the display is that it sends a basic event with a higher probability while also conserving the presence time of the neighborhood destiny noticing
Smart surveillance using deep learning
Get PDFSmart surveillance systems play an important role in security today. The goal of security systems is to protect users against fires, car accidents, and other forms of violence. The primary function of these systems is to offer security in residential areas. In today’s culture, protecting our homes is critical. Surveillance, which ranges from private houses to large corporations, is critical in making us feel safe. There are numerous machine learning algorithms for home security systems; however, the deep learning convolutional neural network (CNN) technique outperforms the others. The Keras, Tensorflow, Cv2, Glob, Imutils, and PIL libraries are used to train and assess the detection method. A web application is used to provide a user-friendly environment. The flask web framework is used to construct it. The flash-mail, requests, and telegram application programming interface (API) apps are used in the alerting approach. The surveillance system tracks abnormal activities and uses machine learning to determine if the scenario is normal or not based on the acquired image. After capturing the image, it is compared with the existing dataset, and the model is trained using normal events. When there is an anomalous event, the model produces an output from which the mean distance for each frame is calculated
Empirical analysis of power side-channel leakage of high-level synthesis designed AES circuits
Get PDFMany internet of things (IoT) devices and integrated circuit (IC) cards have been compromised by side-channel attacks. Power-analysis attacks, which identify the secret key of a cryptographic circuit by analyzing the power traces, are among the most dangerous side-channel attacks. Gen-erally, there is a trade-off between execution time and circuit area. However, the correlation between security and performance has yet to be determined. In this study, we investigate the cor-relation between side-channel attack resistance and performance (execution time and circuit area) of advanced encryption standard (AES) circuits. Eleven AES circuits with different performances are designed by high-level synthesis and logic synthesis. Of the eleven AES circuits, six are circuits with no side-channel attack countermeasures and five are circuits with masking countermeasures. We employ four metrics based on a T-test to evaluate the side-channel attack resistance. The results based on the correlation coefficient show the correlation between side-channel attack resistance and performance. The correlation varies according to four metrics or masking countermeasure. We argue that designers should change their attitudes towards circuit design when considering security
Research, challenges and opportunities in software define radio technologies
Get PDFThe network extended not just internationally but also throughout a broad variety of application areas in this age, with healthcare being one of the most well-known and vital industries. Improvements in healthcare are possible if we start using the popular internet of things (IoT) technology as a key instead of focusing on other disciplines. Wireless body area network (WBAN) is a field in which we communicate with a network of human people and medical equipment that may be used in conjunction with internet of things technology to perform any function. Additional features for software defined networks will be added in the future. In the event of a critical crisis, the suggested suggestions will be to take care of the patient's life. Because the fitted equipment keeps a lot better eye on the patient than previously advised methods. This study combines WBAN, IoT, and software defined network (SDN) to make sense in the healthcare field
A systematic literature review on hardware implementation of image processing
Get PDFImage processing has become under the spotlight recently and leads to a significant shift in various fields such as biomedical, satellite images, and graphical applications. Nevertheless, the poor quality of an image is one of the noticeable limitations of image processing as it restricts efficient data extraction to be conducted. Conventionally, the image was processed via software applications such as MATLAB. In spite of the software's ability to cater to the data extraction of low-quality image issues, it still suffers from the time-consuming issue. As the ability to obtain a rapid outcome is a favorable feature of efficient image processing, the use of hardware in image processing is deemed to keep the addressed issue at bay. Thus, the image enhancement techniques using hardware have gradually rising interest among researchers with numerous approaches such as field programmable gate array (FPGA). In this study, 25 different research papers published from 2016 to 2021 are studied and analyzed to focus on the performance of FPGA as hardware implementation in image processing techniques
Smart building trend, role, and position: a systematic literature review
Get PDFProperty growth, especially in high-rise buildings in developed and developing countries, has experienced a significant increase. The increasingly expensive resources and the development of information technology encourage the growth of smart buildings in almost all countries, especially in developed and developing countries, and become a trend. The Internet of things (IoT) is the main driver in the development of smart buildings. Property businesses are competing to adopt and implement smart buildings on their properties. This is further strengthened by the development of smart cities in almost all cities around the world, one of the criteria is a smart community. The purpose of implementing smart buildings is to make property management effective and efficient. Using the systematic literature review, this paper will discuss what components must be met for a property called a smart building, then what is the role of smart buildings for an area or community, and how the current smart building trend will be in the future