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<p>The number of patients in hospital keep increasing every year and, some patients’s blood pressure must be measured by medical staff regularly. This means that the medical staff need to attend to the patient routinely and several readings are required in each session to make sure the results are accurate. Therefore, there is a need to simplify the monitoring process inside hospital in Malaysia. In this work, IoT Blood Pressure Monitoring System (IBPMS) is designed to monitor patient’s blood pressure remotely. This project use Raspberry Pi as a gateway to view the value of blood pressure online. Result showed that the design is capable to transfer data from blood pressure detector through the network using USB TTL serial cable which is directly attached to the Raspberry Pi. User can also view the blood pressure reading continuously from Telegram application and email service. Furthermore, the system can measure the value of blood pressure accurately when user is in sitting position.</p>

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This article proposes a framework for the depth map reconstruction using stereo images. Fundamentally, this map provides an important information which commonly used in essential applications such as autonomous vehicle navigation, drone’s navigation and 3D surface reconstruction. To develop an accurate depth map, the framework must be robust against the challenging regions of low texture, plain color and repetitive pattern on the input stereo image. The development of this map requires several stages which starts with matching cost calculation, cost aggregation, optimization and refinement stage. Hence, this work develops a framework with sum of absolute difference (SAD) and the combination of two edge preserving filters to increase the robustness against the challenging regions. The SAD convolves using block matching technique to increase the efficiency of matching process on the low texture and plain color regions. Moreover, two edge preserving filters will increase the accuracy on the repetitive pattern region. The results show that the proposed method is accurate and capable to work with the challenging regions. The results are provided by the Middlebury standard dataset. The framework is also efficiently and can be applied on the 3D surface reconstruction. Moreover, this work is greatly competitive with previously available methods.

The global demand for continuous and eco-friendly renewable energy as alternative to fossils fuels is large and growing. One viable solution is a hydroelectric-power extraction system based on Vortex Induced Vibration (VIV) from vortex shedding in turbulent flows. The present work focus on capability of VIV phenomenon in generating alternative energy based on theoretical calculation and analytical study. In order to maximize the potential of energy generation, the effects of lock-in phenomenon and different geometries of cylinder were studied. The range of Reynolds numbers (Re) considered was within 1x10 4 -3x10 5 and the cylinder diameters were varied between 0.02-0.06 meters. The increase of Re resulted in higher cylinder velocity thus increasing its power generation rate and efficiency. Maximum power generated was achieved for the largest diameter in a single cylinder application whilst an array system of the smallest diameter cylinder arrangement produced the highest power density. As a single unit of VIV system is insufficient to provide power supply to large application, this VIV application can be installed in multiple units of cylinders in order to generate sufficient power supply. VIV can also be integrated to the current renewable energy application system such as solar, wind and tidal energy.