Integration of NFC Technology on Household Appliances

The study focused on developing a system that would monitor the usage of appliances in dormitories. This appliance management system will allow dormitory owners and tenants to utilize and to check how much power each tenant consumes per appliance, as well as the overall power consumption. Not only will the tenant learn how much energy he/she has consumed but the owner will also know its equivalence in terms of money. It includes a pre-paid and postpaid payment system. The project focused on expanding the usage of near field communication in terms of establishing smart connections between the user and all the electrical appliances inside a dormitory. The group also used MyRio microcontrollers in handling the operations on the entire system where connectivity, sharing and measuring information, and computations are concerned

Microcontroller-Based Power Monitoring and Switching Device for Appliances over a ZigBee Network

Microcontroller-Based Power Monitoring and Switching Device (PMAS) for Appliances over a Zigbee Network aims to develop a system that can provide aid to its user in consuming power more efficiently. This study aims to create a system for monitoring electrical consumption of home appliances through an Android application. It will also be focusing on the recording of electrical data so that its user may be able to track how much power they are consuming over a certain period of time. The microcontroller in the power monitoring and switching (PMAS) adapter will read and measure electrical data, such as voltage, current, and power. This data will then be transmitted to a hub that will be utilizing a ZigBee network, connected in a star topology. This gateway sends and receives data to and from the web server database, which the Android App accesses to display the information to the user through text and graphs. The app also has switches that can turn the adapter on or off. This study provides users with an easy to install and non-intrusive system to monitor and control the power consumption of home appliances using an Android app

The impact of the LED lighting installation on De la Salle University

About a year ago the authors together with another colleague were commissioned by De La Salle University to conduct an energy audit on two buildings in campus. This paper discusses one of the areas that were covered in the energy audit which is the electrical lighting. It discusses the result of the audit and the recommendations made as well as the result of the implementation of the recommendations. © 2014 IEEE

A performance analyis on drone loco positioning system for two-way ranging protocol

Localization is vital in UAV operation as it monitors the position of each drone in a workspace. Existing localization techniques such as GPS are limited for outdoor implementations and cannot be implemented inside closed spaces or GPS denied areas. To address this concern localization techniques, such as vision systems and radio systems, are developed. The drawback of vision systems is the cost of implementation as the system usually requires multiple cameras strategically positioned around the experimental space to monitor the aerial drone’s position and orientation. Radio localization, on the other hand, is a cheaper alternative for indoor localization as it requires only a set of anchor and tags that communicates through a certain radio frequency; however, experimental setups and materials on this localization technique is limited at this time. This paper offers an analysis of the performance of the loco positioning system, a form of radio localization, through varying configurations for swarm drone applications. The Loco Positioning System possesses two protocols; and this paper focuses on the Two-Way Ranging protocol. The study presents different setup configurations governed by 2 parameters; number of anchors used, and the distance set between anchors, and their corresponding performances. Data showed that an increase in anchor count from 3 to 6 decreases error from 25.96% to 8.45%, and that decreasing the distance between anchors 0.6 m to 1 m would give a minimal increase in error. Users may use these performance reports to determine their ideal setup based on the mentioned parameters

Driver’s attention monitoring system with low light capability

© 2019, World Academy of Research in Science and Engineering. All rights reserved. The study aims to aid in solving the problems brought by drowsy and distracted driving. The Driver Monitoring System will measure the rate and duration of the driver’s blinking, yawning, and head turning. The program would be coded with C++ using QtCreator and compiled with gcc. The processing would be done with a Linux machine where the camera is connected to. The camera is equipped with an infrared illuminator that would serve as the medium for the low-light capability of the system. Additionally, an Android application would be used hand in hand with the program that would not only serve as a control mechanism of the driver for the program, but would also serve as the alarm system to alert the driver of their current condition. The driver’s actions and conditions would be determined by the algorithm set by the program. Thresholds and time limits can be set to provide better readings and more consistent readings from each driver using the program. The alarm system would trigger when certain conditions are met, in turn, this would keep the driver alert and reminded how they are faring while driving. With numerous tests, results became much better and over time, the researchers reached an efficiency and effectiveness of up to 95%. These efforts lead to solving the problem tackled by the researchers

Semi autonomous quadcopter for early rat infestation detection

This research implemented a quadcopter setup capable of autonomous flight, geared towards early detection of rat infestation. This employed the Tarot 650 Iron Man as the drone frame along with an FLIR Duo R thermal camera. Programming language used was Python, along with OpenCV and Qt Designer for the code and GUI implementation. A simulated controlled setup was created to test the project. The drone was programmed to fly over the controlled setup for it to scan the area and detect the rats that were placed in different parts of the setup. Thermal pictures taken by the drone are processed by the code and output is the maximum number of rats detected along with the waypoints were the maximum value was detected. Each waypoint would correspond to a specific location, and will let the user know which part of the land has the highest density of rats. © 2019, World Academy of Research in Science and Engineering. All rights reserve

Microcontroller-based power monitoring and switching device for appliances over a ZigBee network

Microcontroller-Based Power Monitoring and Switching Device (PMAS) for Appliances over a Zigbee Network aims to develop a system that can provide aid to its user in consuming power more efficiently. This study aims to create a system for monitoring electrical consumption of home appliances through an Android application. It will also be focusing on the recording of electrical data so that its user may be able to track how much power they are consuming over a certain period of time. The microcontroller in the power monitoring and switching (PMAS) adapter will read and measure electrical data, such as voltage, current, and power. This data will then be transmitted to a hub that will be utilizing a ZigBee network, connected in a star topology. This gateway sends and receives data to and from the web server database, which the Android App accesses to display the information to the user through text and graphs. The app also has switches that can turn the adapter on or off. This study provides users with an easy to install and non-intrusive system to monitor and control the power consumption of home appliances using an Android app. © 2018 Universiti Teknikal Malaysia Melaka. All rights reserved