The data-driven autonomous feedforward (FF) control design technique known as frequency-domain modelling-free iterative learning control (MFILC) has gained attention for its ability to achieve fine motion control perf...
The data-driven autonomous feedforward (FF) control design technique known as frequency-domain modelling-free iterative learning control (MFILC) has gained attention for its ability to achieve fine motion control performance without excessive labor. However, the existing frequency-domain MFILC methods that rely on empirical transfer function estimation are not suitable for point-to-point (PTP) motion due to the leakage error that occurs in frequency response function (FRF) estimation. To address this issue, this study proposes an improved frequency-domain MFILC method that employs the differential filtering-based empirical transfer function estimation for FRF estimation. This enhancement enables the proposed method to learn the FF compensation in both reciprocating and PTP motion. Simulations were conducted to evaluate the effectiveness of the proposed method in achieving fast and precise motion control of a galvano scanner.
This study proposes a direct teaching method for the task of pressing an end effector attached to a robot manipulator against a workpiece with a constant force. When performing contact tasks, such as deburring or poli...
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We report a simple, vacuum-compatible fiber attach process for in situ study of grating-coupled photonic devices. The robustness of this technique is demonstrated on grating-coupled waveguides exposed to multiple X-ra...
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Old age leads to declines in mobility. A robotic system could assist in retrieving objects. The purpose of our project was to develop prototype modules for core functions of retrieval, including identification of a ta...
Old age leads to declines in mobility. A robotic system could assist in retrieving objects. The purpose of our project was to develop prototype modules for core functions of retrieval, including identification of a target object, locomotion toward the object, obstacle avoidance, approach to the object for the gripper, grasp and lift the object, and carry the object. A scaled down prototype was developed and tested on a wheeled platform. Image processing was used to identify and align the gripper with the object, LiDAR was used to avoid obstacles, a proximity sensor was used for the final approach to the object, microcontroller driven servo motors rotated the wheels and actuated the gripper to grasp and lift the object. The prototype showed promise, being able to identify and grasp objects on the floor, such as a cell phone, scissors, or a computer mouse.
A super-resolution electromagnetic inversion scheme is proposed for brain stroke detection. The scheme operates in two stages: (i) A quantitative Gauss-Newton method with Tikhonov regularization and frequency-hopping ...
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ISBN:
(数字)9788831299107
ISBN:
(纸本)9798350366327
A super-resolution electromagnetic inversion scheme is proposed for brain stroke detection. The scheme operates in two stages: (i) A quantitative Gauss-Newton method with Tikhonov regularization and frequency-hopping is employed to get a low-resolution inversion result. (ii) A U-Net-based super-resolution method is used to significantly enhance the spatial resolution of the inversion result from (i), The proposed scheme is demonstrated through several numerical examples, highlighting its effectiveness in accurately reconstructing the brain's permittivity and conductivity profiles, thereby contributing to advancements in stroke diagnosis.
Since the initial launch of 5G networks in 2018, 5G technology has rapidly expanded to cover about 40% of the world's population, offering higher bandwidth, faster connectivity, and lower latency than 4G. However,...
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ISBN:
(数字)9798331527686
ISBN:
(纸本)9798331527693
Since the initial launch of 5G networks in 2018, 5G technology has rapidly expanded to cover about 40% of the world's population, offering higher bandwidth, faster connectivity, and lower latency than 4G. However, due to its higher frequency operation, 5G necessitates more frequent handovers, making efficient handover performance crucial. This research focuses on enhancing handover efficiency by predicting user movement using Long Short-Term Memory (LSTM) models for multi-step-ahead prediction. The model created will utilize 60 seconds of historical data to predict 10 seconds ahead, with a target to achieve an average prediction accuracy of less than 20 meters with a latency under 100 ms. The study employs TensorFlow for model training, leveraging the Grab-Posisi dataset, and utilizes Plotly and TensorBoard for result visualization. Six model variations were trained, with the 16-unit model trained for 3106 epochs performing best, achieving 16.99 meters accuracy and 31 ms latency. The findings suggest that LSTM is effective for predicting user movement in 5G networks, with potential accuracy improvements through extended training epochs.
Increasing demand for wearable sensors for multipurpose applications have made it an essential part of our everyday life. In such a scenario;reusability, flexibility, cost effectiveness, and integrability of such sens...
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Double remnant polarization (2Pr values are increased significantly from 17.1μC/cm2 to 39.9μC/cm2 by reducing the TiNx interfacial capping layer (ICL) thickness from 3 nm to 1 nm in the Ru/TiNx/Hf0.5 Zr0.5O2(HZO)/Ti...
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Penghu Islands (Pescadores), Taiwan's outlying islands surrounded by the sea, boast rich fishing resources that attract many anglers. However, successful fishing requires more than just gear: it involves understan...
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ISBN:
(数字)9798331504120
ISBN:
(纸本)9798331504137
Penghu Islands (Pescadores), Taiwan's outlying islands surrounded by the sea, boast rich fishing resources that attract many anglers. However, successful fishing requires more than just gear: it involves understanding the varying fish species available in different locations, times, and climates, as well as adhering to relevant laws and regulations. To address these needs, this paper proposes an environmentally friendly fishing Android-based mobile device App specifically for the Penghu Islands. The proposed Android-based mobile device App aims to gather essential information, including local fishing regulations, aquatic safety tips, and important precautions. Its goal is to equip fishermen with the resources necessary to fish successfully and with peace of mind.
Robots, in order to understand human commands, could be possible if there is an interaction between them. Possible interaction including the Natural Language, that humans have used to communicate with each other. The ...
Robots, in order to understand human commands, could be possible if there is an interaction between them. Possible interaction including the Natural Language, that humans have used to communicate with each other. The method used in this research for robots to understand Natural Language is Mental Image Directed Semantic Theory (MIDST) which uses unique Lmd formula as a basis for computing the Natural Language Understanding (NLU) processes. Equipped with support modules such as Speech to Text, Text to Speech, and Synonym Search Algorithm the robot successfully to receive, understand, and issue responses according to the Natural Language expressions given in Indonesian Language. The movement of the robot is also simulated in a two-dimensional plane to demonstrate its ability to serve humans.
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