This paper presents an idea of wirelessly powered mobile sensors utilizing cloud management system similar to the swarm robotics. Sensors are based on the previously developed wireless passive sensors working with RFI...
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This paper presents an idea of wirelessly powered mobile sensors utilizing cloud management system similar to the swarm robotics. Sensors are based on the previously developed wireless passive sensors working with RFID protocol in the HF range. Preliminary research presented in this paper is related to the energy harvesting efficiency evaluation and the possibility to wirelessly power an electric motor. Performed experiments show that the magnetic field generated by the RFID reader antenna provides enough amount of energy not only to perform communication, measurements and computation, but to power the actuators as well. Achieved results state a base for further investigation in the area of wireless passive mobile sensors.
This paper introduces an IoT based medicine consumption which enables the elderly person to take the right medicine at the right time. Usually elder people need to take medicine several times daily. And there is a hig...
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作者:
Jeong, OngeeMoon, Inkyu
Department of Robotics and Mechatronics Engineering Daegu Korea Republic of
This paper analyzes the strength of Message Digest Algorithm (MD5) by performing deep learning-based Encryption Emulation (EE) and Plaintext Recovery (PR) attacks. We convert randomly generated S12-bit arrays, message...
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作者:
Jeong, OngeeMoon, Inkyu
Department of Robotics and Mechatronics Engineering Daegu Korea Republic of
This paper presents a privacy-preserving image classification scheme based on deep learning and photon counting imaging. The vision transformer-based deep learning model can classify the photon-limited color images, w...
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This paper proposes the optimization of polyimide microneedle electrode using a 3D print double molding fabrication. Various shapes (circle, triangle, square, star, and hexagon) of microneedles are investigated by cha...
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The paper presents a flexible and stretchable carbon nanotube (CNT) based gas sensor fabricated on a planar metastructure, kirigami substrate with anatase TiO2 functionalization for improved NO2 sensing performances w...
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This paper describes the BAPAMAN(Binary Actuated Parallel MANipulator) series of parallel manipulators that has been conceived at Laboratory of robotics and mechatronics(LARM). Basic common characteristics of BAPA...
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This paper describes the BAPAMAN(Binary Actuated Parallel MANipulator) series of parallel manipulators that has been conceived at Laboratory of robotics and mechatronics(LARM). Basic common characteristics of BAPAMAN series are described. In particular, it is outlined the use of a reduced number of active degrees of freedom, the use of design solutions with flexural joints and Shape Memory Alloy(SMA) actuators for achieving miniaturization, cost reduction and easy operation features. Given the peculiarities of BAPAMAN architecture, specific experimental tests have been proposed and carried out with the aim to validate the proposed design and to evaluate the practical operation performance and the characteristics of a built prototype, in particular, in terms of operation and workspace characteristics.
In this paper we present a stereo vision based system for segmentation and location computation of partially occluded objects in bin picking environments. Algorithms to segment partially occluded objects and to find t...
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In this paper we present a stereo vision based system for segmentation and location computation of partially occluded objects in bin picking environments. Algorithms to segment partially occluded objects and to find the object location [midpoint,x, y and z co-ordinates] with respect to the bin area are proposed. The z co-ordinate is computed using stereo images and neural networks. The proposed algorithms is tested using two neural network architectures namely the Radial Basis Function nets and Simple Feedforward nets. The training results fo feedforward nets are found to be more suitable for the current *** proposed stereo vision system is interfaced with an Adept SCARA Robot to perform bin picking operations. The vision system is found to be effective for partially occluded objects, in the absence of albedo effects. The results are validated through real time bin picking experiments on the Adept Robot.
Modern systems and methods of Structural Health Monitoring (SHM) and Non Destructive Testing (NDT) require new types of transducers. In this paper, a new type of Lamb Wave transducer, the Tunable Interdigital Transduc...
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Modern systems and methods of Structural Health Monitoring (SHM) and Non Destructive Testing (NDT) require new types of transducers. In this paper, a new type of Lamb Wave transducer, the Tunable Interdigital Transducer (T-IDT), developed at AGH University of Science and Technology, is presented and its sensing capabilities are discussed based on experimental tests. The properties of the proposed transducer are similar to those of a traditional Interdigital Transducer (IDT), except for its ability to change the wavelength to which the transducer is tuned without introducing any physical changes in the electrode layout. In the paper, three sets of experiments are presented. The first two determine the ability of the transducer to measure the distance of damage from the transducer. The last set of experiments investigates the angular sensitivity of the proposed transducer for modelled damage. The presented results are compared to ones obtained with a traditional IDT.
Collaborative perception has attracted growing interest from academia and industry due to its potential to enhance perception accuracy, safety, and robustness in autonomous driving through multi-agent information fusi...
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