The Online Equipment Inventory System for Subdivision of Supplies Case study at Faculty of Science and Technology is developed based on web application by using PHP and Laravel framework. The purposes of this system are firstly to systematically manage the database system of the asset equipment in the Faculty of science and technology. Secondly to increase the searching process rapidity and to create the summarize reports in PDF format. Lastly to produce the QR code for verified the asset equipment. This system is consists of the administrators and system users. In the part of satisfied evaluation the system is evaluated by the example target officers group. The overall result of satisfaction score is 4.10 which means the system can fulfill the requirement in a good level. Moreover when considering in each part of satisfaction; 1. design part 2. efficiency and functional part and 3. system satisfaction part the result scores are 3.96 4.18 and 4.06 consequently. In conclusion the Online Equipment Inventory System for Subdivision of Supplies Case study at Faculty of Science and Technology is work properly.

This research study is the economic load dispatch ELD is the method of determining the most efficient low-cost and reliable operation of a power system by dispatching the available electricity generation resources to supply the load on the system. The main objective of ELD is to schedule the committed generating units output to meet the required load demand at minimum cost satisfying all unit and system operational constraints. With the proper scheduled outputs of generating units it can lead to a significant cost saving of generating systems. This paper presents an optimization technique to economic load dispatch (ELD) problems with considering the daily load patterns and generator constraints using a particle swarm optimization (PSO). The objective is to minimize the fuel cost. The optimization problem is subject to system constraints consisting of power balance and generation output of each units. The application of a constriction factor into PSO is a useful strategy to ensure convergence of the particle swarm algorithm. The proposed method is able to determine the output power generation for all of the power generation units so that the total constraint cost function is minimized. The performance of the developed methodology is demonstrated by case studies in test system of fifteen-generation units. The results show that the proposed algorithm gives the minimum total cost of generation while satisfying all the constraints and benefiting greatly from saving in power loss reduction.

Metaheuristic optimization approach has become the new framework for control synthesis. The main purposed of the control design are input (command) tracking and load (disturbance) regulating. This research proposes an optimal proportional-derivative (PID) controller design for the brushless dc (BLDC) motor speed control system with input tracking and load regulating constrained optimization by using the cuckoo search (CuS) one of the most efficient population-based metaheuristic optimization techniques. The sum-squared error between population-based metaheuristic optimization techniques. The sum-squared error between the referent input and the controlled output is set as the objective function to be minimized. The rise time the maximum overshoot settling time and steady-state error are set as inequality constraints for tracking purpose while the regulating time and the maximum overshoot of load regulation are set as inequality constraints for regulating purpose. Results obtained by the CuS will be compared with those obtained by the particle swarm optimization (PSO) and genetic algorithm (GA). From simulation results it was found that the parameters of CuS were optimal than both PSO and GA for BLDC motor speed control system satisfying the preset input tracking and load regulating constraints. In addition the simulation results are confirmed by the experimental ones from the BLDC motor speed control system developed in the laboratory.

This thesis discusses the development of the result of the motion detection of a person using the system sending the image signal and the character derived from the camera (Pi camera) to send a notification of personal space invasion via Using raspberry pi Zero w is a data management system that is received from the Motion Sensor in conjunction with the Raspberry camera and has stored JPEG images received from the camera to process the data sent into the Line Server for Users can send images via Line Application party monitoring intrusion into personal space

This project presents the design and development of application software of retail management system for drinking yoghurt. The developed application runs with Client/Server processing on Windows XP or higher. The objective is to be convenient for checking products automatic adding/removing products in warehouse counting stocked products and editing data. Tools used in development are Microsoft SQL Server for database management Visual Basic Version 6.0 for application development and database programming and Crystal Report 8 for creating reports and invoices. The developed application can enhance the effectiveness in retailing for drinking yoghurt properly.