The development of computationally-efficient algorithms is crucial to support the extremely-low latency and ultra-high reliability requirements of the next-generation radio communication systems. Error-correction code...
详细信息
The paper analyzes the preparation of software for acoustic signal classification with machine learning techniques for microcontrollers. The design process was tested for three types of devices: Nordic Thingy:53, *** ...
详细信息
The development of computationally-efficient algorithms is crucial to support the extremely-low latency and ultra-high reliability requirements of the next-generation radio communication systems. Error-correction code...
The development of computationally-efficient algorithms is crucial to support the extremely-low latency and ultra-high reliability requirements of the next-generation radio communication systems. Error-correction codes (ECC) are used in communication systems to maintain the reliability of data transmissions. In this paper, several commonly used artificial intelligence (AI) methods are used to design algorithms for bitwise decoding of (ECC). The AI-based decoding algorithms are analysed and compared using their error-correction performance, training time and computational intensity. The efficacy is assessed using the benchmark codes: extended binary Golay and the Hamming code for varying signal-to-Noise Ratios (SNR) over the Additive White Gaussian Noise (AWGN) channel and the decoding performance is evaluated using the block error rate (BLER). It is envisaged that the results from this comparative study would help to identify AI models most suitable for developing computationally efficient and practically-implementable algorithms for decoding longer ECC.
The paper analyzes the preparation of software for acoustic signal classification with machine learning techniques for microcontrollers. The design process was tested for three types of devices: Nordic Thingy:53, *** ...
The paper analyzes the preparation of software for acoustic signal classification with machine learning techniques for microcontrollers. The design process was tested for three types of devices: Nordic Thingy:53, *** and Arduino Nano 33 BLE Sense Lite. The classifier training process was carried out using the Edge Impulse platform. Experimental studies were carried out for the process of classifying sound signals generated by the vacuum cleaner motor. The results of the training and the model test were presented for different configurations.
This contribution describes the design of a dual-reflector multibeam antenna based on a parabolic polarizing main reflector with a flat reflectarray subreflector. This antenna concept is proposed to produce multiple b...
This contribution describes the design of a dual-reflector multibeam antenna based on a parabolic polarizing main reflector with a flat reflectarray subreflector. This antenna concept is proposed to produce multiple beams in orthogonal CP for enabling broadband satellite communications in Ka-band. The antenna generates two orthogonal beams per feed at transmit (19.7 GHz) and receive (29.5 GHz) frequencies in Ka-band, which would make it possible to reduce by half the number of conventional reflector antennas required onboard the satellite to produce the same multispot coverage. The antenna generates a set of high-gain circularly polarized beams when illuminated by dual-linearly polarized feed-horns, which avoids the use of linear-to-circular polarizers in the feed-chains.
In this contribution, the design of spherical reflectarray antennas is proposed to achieve a compromise between parabolic and spherical surfaces. The spherical surface simplifies the folding mechanism of the antenna, ...
详细信息
ISBN:
(数字)9788831299107
ISBN:
(纸本)9798350366327
In this contribution, the design of spherical reflectarray antennas is proposed to achieve a compromise between parabolic and spherical surfaces. The spherical surface simplifies the folding mechanism of the antenna, while the printed elements on the reflectarray surface are designed to correct the spherical aberration, improving the focusing of the spherical surface and providing the electrical performance of a parabolic reflector antenna. The focusing and scanning capabilities of spherical reflectarrays are evaluated and the implementation of spherical reflectarrays in dual antenna configurations is proposed to provide further compact antenna solutions.
In the digital era,electronic medical record(EMR)has been a major way for hospitals to store patients’medical *** traditional centralized medical system and semi-trusted cloud storage are difficult to achieve dynamic...
详细信息
In the digital era,electronic medical record(EMR)has been a major way for hospitals to store patients’medical *** traditional centralized medical system and semi-trusted cloud storage are difficult to achieve dynamic balance between privacy protection and data *** storage capacity of blockchain is limited and single blockchain schemes have poor scalability and low *** address these issues,we propose a secure and efficient medical data storage and sharing scheme based on double *** our scheme,we encrypt the original EMR and store it in the *** storage blockchain stores the index of the complete EMR,and the shared blockchain stores the index of the shared part of the *** with different attributes can make requests to different blockchains to share different parts according to their own *** experiments,it was found that cloud storage combined with blockchain not only solved the problem of limited storage capacity of blockchain,but also greatly reduced the risk of leakage of the original *** Extraction Signature(CES)combined with the double blockchain technology realized the separation of the privacy part and the shared part of the original *** symmetric encryption technology combined with Ciphertext-Policy Attribute-Based Encryption(CP–ABE)not only ensures the safe storage of data in the cloud,but also achieves the consistency and convenience of data update,avoiding redundant backup of *** analysis and performance analysis verified the feasibility and effectiveness of our scheme.
Using an ultrasonic signal for communication is an alternate solution when electromagnetic waves are not feasible for carrying the information through the channel. We can use the ultrasonic signal to conduct communica...
详细信息
ISBN:
(数字)9781728154480
ISBN:
(纸本)9781728154497
Using an ultrasonic signal for communication is an alternate solution when electromagnetic waves are not feasible for carrying the information through the channel. We can use the ultrasonic signal to conduct communication in different types of media such as solid, liquid, and gas. In this study, we use ultrasound for communication through a metal plate channel. A metal plate is a highly dispersive and frequency selective channel with a severe multipath effect. The OFDM modulation method is customized for the ultrasonic communication channel to enhance communication reliability and reduce the bit error rate. With the channel frequency response, we adaptively map the transmitted information to optimize the selection of subcarriers frequency bands for the highest possible throughput.
We present a reduced-order model (ROM) methodology for inverse scattering problems in which the reduced-order models are data-driven, i.e. they are constructed directly from data gathered by sensors. Moreover, the ent...
详细信息
Understanding the functional architecture of complex systems is crucial to illuminate their inner workings and enable effective methods for their prediction and control. Recent advances have introduced tools to charac...
详细信息
暂无评论