Abstract:In this paper, real-time monitoring of multiple lead-acid batteries based on Internet of things is proposed and evaluated. Our proposed system monitors and stores parameters that provide an indication of the lead acid battery's acid level, state of charge, voltage, current, and the remaining charge capacity in a real-time scenario. To monitor these lead-acid battery parameters, we have developed a data acquisition system by building an embedded system, i.e., dedicated hardware and software. The wireless local area network is used as the backbone network. The information collected from all the connected battery clients in the system is analyzed in an asynchronous transmission control protocol/user datagram protocol-based C server program running on a personal computer (server) to determine important parameters like the state of charge of the individual battery, and if required, appropriate action can be taken in advance to prevent excessive impairment to the battery. Further, data are also displayed on an Android mobile device and are stored in an SQL server database. We have developed a real prototype to devise an end product for our proposed system.

Computers have become a huge requirement to support human performance. Computers also often experience Hardware damage such as processors, VGA, motherboards, memory, mouse, keyboards, hard disks, optical drives, monitors. Until now, many computer users still do not have sufficient knowledge of the initial diagnosis of computer Hardware damage which causes a lot of computer users to pay a lot of money to find out and repair the damage that occurs to Computer Hardware. In this Expert System application research development, the authors use a combination of two inference methods, namely the Forward Chaining method and the Certainty Factor Method. The programming tools used in the development of this Expert System application is using the Sublime Text 3 application while the database uses MySQL with PHP as the programming language. The purpose of this Expert System application is made to assist computer users in making an initial diagnosis of a damaged computer Hardware along with the causes and solutions to overcome the damage.

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Lead-acid battery is widely utilized to provide electricity in vehicle. There are dozens of system is used the lead-acid battery for power supply e.g., in electric car, mobile robot, electric forklift, etc. Nevertheless, overuse could significantly effect on life time of battery. In this paper, remote monitoring of lead-acid battery for electric forklift is proposed. We develop a data acquisition system to monitor battery parameters by developing dedicated hardware and software. Inter-integrated circuit (i2c), Analog to digital converter (ADC) and Universal Asynchronous Receiver/Transmitter (UART) are used as the protocol communication. The wireless local area network (WLAN) is used as the backbone networks. In experimental result, the data are successfully send from microcontroller to server. Furthermore, data is displayed on server monitor and stored in database storage.

In this paper, we proposed archimedean spiral for UAV trajectory to localization position of military vehicle in tactical wireless networks. In our scenario, the vehicle called cluster head (CH), which are correspond to tank or humvee deploy randomly at Battlefield. Furthermore, Time differential of arrival (TDOA) technique is used for the communication system between UAV in space and CH in battlefield. Finally for clarify feasibility of our proposed method, the UAV line movement and localization error of CH are simulated using Matlab. Lastly, the comparison performance of trajectory e.g., circle, spiral, and archimedean spiral regarding average localization error and coverage area are presented in result.