Verilog Based UART System Design
IoT based Smart Agriculture Monitoring Framework with Automation
Intel ® Processor Architectural and Integrated Development Environment Exploration
An Integrated Model of Digital Fuel Indicator and GPS Tracking System for Vehicles
Designing of an Embedded system for Wireless Sensor Network for Hazardous Gas leakage control for industrial Application
Hardware Implementation of Artificial Neural Networks
Fault Analysis on Grid Connected MPPT BasedPhotovoltaic System
High Efficiency Hybrid Intelligent Street Lighting Using A Zigbee Network And Sensors
License Plate Localization Using Novel Recursive Algorithm And Pixel Count Method
Design of Dual-Band Bandpass Filter Using Interdigital Embedded Open Loop Triangular Resonator Loaded with Stubs
Multiprocessor System-on-Chip (MPSoC) is an attractive solution to provide a high performance computing required by the new applications are growing exponentially such as in multimedia applications. However, the communication between processors' cores presents a serious problem in the era of MPSoC. The network on chip (NoC) is presented as a promising solution is acknowledged that it is still limited with increasing data exchange. Moreover, the traditional NoC faces two main problems: the bandwidth and energy consumption. However, a new technology in MPSoC, namely,optical network-on-chip (ONoC) has been introduced which uses optical communication. In addition, wavelength division multiplexing (WDM) is exploited in ONoC to reach a high rate of bandwidth. Nevertheless, the ONoC components inducing crosstalk noise to the optical signal and direct effect the signal-to-noise ratio(SNR). In this article, new system has been proposed to address these impairments in the network in order to detect and monitor crosstalk noise in WDMbased ONoC. The register-transfer level (RTL) hardware design and implementation of this system can result in high reliability, scalability and efficiency with running time less than 20 ms.
It takes being alive and healthy to tackle challenges for sustainable development as well as harness the benefits thereof. The scourge of drink driving has led to loss of life and properties. Control measures to ensure drivers are not under the influence of alcohol while driving such as Blood Alcohol Content (BAC) check remains unrealizable due to the huge personnel, equipment and maintenance cost involved. A less consuming effort has been proposed using mq3 gas sensor mounted on the steering wheel, powered by the ignition of the vehicle, to detect alcohol level of the subject controlling it. The alcohol detected from the subject is processed by an ATMEGA 16 Microcontroller that compares it with a set threshold for compliance. If the threshold is exceeded three modules are simultaneously triggered. The fuel supply control module is activated by a relay to cutoff supply towards bringing the vehicle to a momentary halt. The Liquid Crystal Display (LCD) module is activated to show alcohol has been detected. The Global System for Mobile communication (GSM) module sends the same notice on the LCD to subject's next-of-kin/law- enforcement-agent phone line for immediate attention. This system was developed and tested using a toy car. The result showed that it could be implemented in real life situation provided that all specifications are taken into consideration.
Internet of Things (IoT) related research has become an essential part of the growth of computing, as such there is the need to respond to the challenges of utilizing this aspect. Educational institutions should not be an exception, as they provide enabling environments to study and apply these possibilities. IoT is novel and holds the potentials of driving computing everywhere and anywhere. It also provides the possibility to collect and process variety of data that could widely influence smart campus initiatives. Smart campus makes institutions smarter and safer with improved efficiency and experiences for both students and staff. This paper explored smart campus concept and proposed a framework that could provide value added services for various people within the university environment. The components of the smart campus considered in this paper are smart education, smart mobility, smart health services, smart building and access control management.
Water management in agriculture is a major concern in agriculture based country. There is a need to develop conservation mechanisms to make better use of water as well as to increase crop productivity. This can be done by the development of automated irrigation system that takes into account several factors, such as soil moisture, temperature, etc. One of the more popular methods is drip irrigation system. Drip irrigation supplies water drop by drop to root zone of plants through pipes containing several emitters. This irrigation system is composed of the following components: water source which is connected with a main tube called main pipeline. To this line, several pipes are connected using manual or electrical valves that control the water flow. The proposed system is used for sensing, monitoring, controlling, and communication purpose. Sensors are used for detecting different parameters such as moisture for checking the contents of water in the soil and temperature used for checking evaporation rate of water. Output of this sensor is provided to the ARM7 processor. ARM7 processor has lower and upper set point values and according to this set point provided by the ARM7 processor actions such as ON or OFF of the water control valve will happen. Advantages of the system are improved estimation and planning of field irrigation based on the available water supply. The system will optimize the required human resources, time, and effort in the agricultural production.
Real Time Systems are time bound systems. Their efficiency is dependent on logical correctness as well as strict timeframe within which they react to an event. Completion within deadline is stressed especially in hard real time systems. Modern embedded hardware implementations choose multiprocessor architectures to support multitasking. Multiprocessor scheduling problem can be broken down in terms of task to processor assignment prior to uniprocessor scheduling problem. Suitable task to processor allocation strategy to uniprocessor scheduling algorithms like RMA and EDF for developing multiprocessor scheduler can be combined. This paper demonstrates simulation of Utilization Balancing algorithm for EDF, Next-fit algorithm for RMA, Bin packing algorithms for EDF using C language and TORSCHE tool box for MATLAB. The Objective of this work is to analyze various static scheduling algorithms for usage in multiprocessor based embedded systems.
The Internet of things allows object to be sensed and actuated remotely across existing network infrastructure, creating opportunities for more direct integration between the physical world and computer-based systems, and resulting in improved efficiency, accuracy and economic benefit. In this applied research, a real time energy monitoring system employing IOT is proposed. This is a cost-effective system consisting of a energy meter and a user-friendly android app, which can be installed in a local residence for energy monitoring and the data can be uploaded to cloud through which detailedinformation and pattern of energy consumption of the house can be accessed remotely or locally by the user. Through this system there will be reduction in the wastage of energy and can be used as a platform for efficient energy management.
A way to deal with simple fault analysis for circuits with resistance is exhibited dependent on measured fault identification calculation. The proposed model comprises of primer conclusion and choice principles in light of pre-decided values of the threshold. The analysis is performed on the circuit under test, and the relating reactions are acquired from various test focuses (components). The primery determination of result is obtained by utilizing an evidential calculation and fault area which is achieved dependent on the choice of control rules. The test result demonstrates that the proposed conclusion approach can deliver a more significant and precise determination and has the capacity to analyze disastrous and parametric faults in simple circuits with good and perfect precision.