Augmented reality as the medical electronic equipment inventory identifier

<p class="abstract"><strong>Background:</strong> Inventory systems are very numerous and require a long time when rechecking. In doing a shortcut time for checking, it can be done the application of augmented reality.</p><p class="abstract"><strong>Methods:</strong> This research can be applied to all types and brands of smartphones. The testing was carried out using three different types and brands of smartphones in three conditions: dark rooms, bright room and open spaces for three times for each smartphone. It examines the suitability of displaying asset objects such as Infusion Device Analyzer (IDA-1), Electrical Safety Analyzer (ISA) and Piranha radiology high voltage tester with target objects using existing inventory labels also Barbarian with the target a book cover with the distance 10, 15, 20, 25 and 30 cm. </p><p class="abstract"><strong>Results:</strong> By using three different types and brands of smartphones: A, B and C, the incompatibility result percentage of the asset object with the target object is obtained. The average of incompatibility result of Smartphone A, B, and C for the ISA asset object is 83%. The average of incompatibility result of Smartphone A, B, and C for the IDA asset object is 71%, The average of incompatibility result of Smartphone A, B, and C for the Piranha asset object is 36%, For the whole result for Barbarian object asset is 100%.</p><p class="abstract"><strong>Conclusions:</strong> Making augmented reality has been successfully carried out with 3D models but there is a discrepancy between the appearance of asset objects with the target object except for the book cover and barbarian.</p>

Application of Evolutionary Algorithms for Harmonic Profile Optimization in Symmetric Multilevel Inverter used in Medical Electronic Equipments

Background: Inverters are finding applications in electrical field where conversion from Direct Current (DC) to Alternate Current (AC) has become an inevitable option. The need of Multi Level Inverter (MLI) is to provide a high output power from medium voltage source. High power quality is the very basic important requirement for MLI used in medical electronic equipment. Harmonic elimination in MLI is a challenging one and is solved by optimum switching of power electronic switches present in the MLI topology. Methods: Several control strategies have been proposed for harmonic elimination in multilevel inverters. Newton-Raphson method is the conventional and iterative based method to obtain optimum switching angle to minimize the Total Harmonic Distortion (THD). But it requires an initial guess of switching angles which is very close to the exact solution. To overcome this, harmonic elimination is converted into an optimization task and is solved by using evolutionary algorithms such as Genetic Algorithms (GA) and Particle Swarm Optimization (PSO). GA and PSO offer optimum switching angles to minimize THD and used to increase the robustness of the system. Results: The performance of proposed symmetric 21 level multilevel inverter with GA and PSO techniques are analysed and the objective of minimum THD is obtained by using MATLABSIMULINK software.In experimental setup, FPGA controller has been used to generate the Pulse Width Modulation (PWM) control signals according to the proposed soft computing based switching strategy. The experimental result is used to verify the ability of the proposed system for the generation of desired output voltage with minimum THD. Conclusion: The proposed symmetric MLI with evolutionary algorithm based switching is a good choice for medical electronic equipment used in hospital to obtain quality power with minimum THD.