Rompi Penyedia Informasi bagi Penyandang Tunanetra Menggunakan Multisensor HC-SR04

Various electronic travel aids for people having visual impairment have been developed based on ultrasonic object detection employing the HC-SR04 ultrasonic proximity sensor. However, most of them do not consider blind spots where harmful objects cannot be detected. This study discusses the development of a vest that can detect objects in front of the blinds more widely and provide sound alert if an object in front is detected. This detector was developed based on an Arduino Uno equipped with five HC-SR04 ultrasonic sensors, and a mini DFPlayer module. In addition, blind area analysis of sensor detection is carried out to overcome objects that are not detected by similar studies. Horizontally, this travel vest sweeps objects up to 150 cm in distance with a 25o right or left angle deviation from forward direction. Vertically, object detection reaches up to 150 cm in distance with both upward and downward deviation of 30o from the vest.

Creep Deformation Parameters and Creep Life of Gr.91

The correlation between the creep deformation parameters and creep life has been investigated for Gr.91 by analyzing creep strain data at 450 to 725 °C, 40 to 450 MPa and tr = 11.4 to 68,755 h in the NIMS Creep Data Sheet. The creep life tr is correlated with the time to minimum creep rate tm as t r = 3.7 t m . Taking the stress dependence of tm / tr into account, the creep life could be predicted more reliably. The minimum creep rate ε̇min depends on both the tm and the strain to minimum creep rate εm as ε . min = 0.54 ε m / t m . The εm is evaluated to be 0.02 to 0.03 at high stresses at each temperature but it decreases with decreasing stress at temperatures above 550 °C, suggesting that the creep deformation in the transient region becomes more inhomogeneous with decreasing stress probably due to localized creep deformation within 1 μm in the vicinity of prior austenite grain boundaries. The downward deviation takes place in the the tr versus ε̇min curves (Monkman-Grant plot). At the same ε̇min, both the εm and tm change upon the condition of tm ∝ εm as can be seen from the above equation. The decrease in εm with decreasing stress, corresponding to decreasing ε̇min, causes a decrease in tm, indicating the downward deviation of the tr versus ε̇min curves.

Modeling Monetary Policy In South Africa: Focus On Inflation Targeting Era Using A Simple Learning Rule

A simple empirical nonlinear framework is used to analyze monetary policy between 1983 and 2007 in South Africa, focusing on the policy of inflation targeting introduced in Feb 2000, more precisely when the South African Reserve Bank (SARB) announced that an inflation zone targeting regime of 3-6% would be in place. We find that a model specification embodying a simple ‘inflation learning rule’ for the future inflation rate seems to provide a better understanding of the decision process made by the SARB in its interest rate setting policy. The main findings are: 1) that the adoption of inflation targeting led to significant changes in monetary policy, 2) post-2000 monetary policy is asymmetric as policymakers respond more to downward deviation of inflation away from the target, 3) post-2000 policymakers may be attempting to keep inflation within the 4.5%–6.9% range rather than pursuing a target zone of 3-6%, as generally pre-announced, and 4) the response of monetary policy to inflation is nonlinear as interest rates respond more when inflation is further from the target.