Several sign language recognition techniques and models have been prevalent to ease the communication gap between people with hearing disabilities and people who don't understand sign language. The proposed model ...
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H4VR is a text entry method offering two layouts - flat and cross - of a four-key keyboard in VR. Hand gestures select the keys with a different selection method for each layout. The entry speed and error rate were me...
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A freshwater shortage can threaten the well-being of people and communities. With the growing global population and limited access to freshwater resources around the world, desalination has become an important technol...
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Satellites are teaming up with 5G, forming a non-terrestrial network (NTN), to support broadband applications over wide coverage areas. However, low latency and high reliability are the challenges in NTN which is addr...
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A new interlinking photovoltaic (PV) step-up converter utilizing integrated power balancing units (PBU) featuring individual maximum power point tracking (MPPT) and high frequency active voltage quadruplers (AVQ) is p...
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A new type of bias injection attack against Cyber Physical System with closed loop controlled Brushless DC (BLDC) motor and Kalman filter in the feedback loop is simulated herewith involving high frequency and high am...
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This paper presents a robust discrete nonlinear active disturbance rejection controller (NADRC) for precise actuator position control in a highly nonlinear and uncertain pneumatic system. The discrete NADRC features a...
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Transformer differential protection employs a harmonic blocking (HB) function that blocks the relay operation when harmonic levels, specifically second harmonics, in transformer differential currents are high. Such a ...
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Cell-free massive multiple-input multiple-output (mMIMO) systems distribute a large number of access points (APs) over a wide geographic region, improving coverage, capacity, and user experiences notably. Similarly, r...
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Performance modeling is a key bottleneck for analog design automation. Although machine learning-based models have advanced the state-of-the-art, they have so far suffered from huge data preparation cost, very limited...
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