Error Rate Of System Research Articles

Comparison of precision of a paperless electronic input method versus the conventional paper form in an andrology laboratory: a prospective study

BackgroundManual counting for semen analysis is recommended by the World Health Organization. Technicians performing this usually record their results on a paper worksheet and then enter the data into an electronic laboratory information system. One disadvantage of this approach is the chance of post-analytical transcription errors, which can be reduced by checking the computer entries before reporting by another technician. Such practice inevitably increases the running cost and delays the reporting time. The present study was to establish a paperless electronic data entry system for semen analysis and compare its precision with the conventional paper method.During semen analysis, readings on the cell counter were video recorded. The precision of the paper record entries was determined by comparing them with the corresponding video records. Patient characteristics and semen analysis results were input directly into an in-house developed data entry system via a tablet computer immediately after analysis. The same set of data was also handwritten on a paper form and was subsequently input into a standard computerized database according to routine practice. The agreement of the data entries between the two systems was then compared.ResultsA total of 787 semen analyses were included in the study, involving 201 samples in Phase I and 586 samples in Phase II of the study. Phase I was the initial learning period. The overall rate of transcription error of the paper form was 0.07%, whereas that of the paperless system was 0.17%. In phase II, the paperless system was modified according to users’ comments. The transcription error rate of the paper form was 0.05%, while that of the paperless system was substantially reduced to 0.01% (p = 0.008).ConclusionThe paperless system is a reliable tool for recording data from semen analysis compared with the conventional paper form. However, training is needed to reduce the error rate of the paperless system.

Performance Analysis of NOMA Systems over Rayleigh Fading Channels in 5G Communication

This paper aims to analyse the performance of Non-vertical Multiple Access (NOMA) systems operating in radio communication systems, especially under Rayleigh fading channels. While NOMA technology improves spectrum efficiency by allowing users to share the same time and frequency resource, Rayleigh fading channels represent multipath propagation effects commonly encountered in real radio environments. In this research, the effects of different user power levels and channel conditions on performance metrics such as system capacity, error rate (BER) and energy efficiency are investigated. Using mathematical modelling and simulation methods, the performance advantages and limitations of NOMA under Rayleigh fading conditions are evaluated. The findings show that NOMA systems offer significant advantages in terms of spectrum efficiency and user fair sharing in Rayleigh fading channels, but require careful design for error rate and energy consumption optimisation. This study provides an important reference for more effective implementation of NOMA technology in radio communication systems.

Performance analysis of UAV-enabled dual-hop mixed RF-FSO communication systems with user scheduling

Abstract Using UAVs as relays in wireless communication offers several advantages like flexibility, coverage, line-of-sight communication, cost effectiveness, adaptability to changing network demands, etc. UAVs can perform surveillance, delivery, mapping, and disaster response. They offer real-time data collection, high maneuverability, and access to remote areas. In this manuscript, we consider a UAV-enabled dual hop mixed RF/FSO wireless communication system. The system includes a UAV acting as a decode-and-forward relay, facilitating communication from the base station (B) to multiple mobile users. The opportunistic scheduling scheme is used to select the user with the best instantaneous channel conditions, typically based on the highest signal-to-noise ratio (SNR) or lowest outage probability, to maximize throughput and ensure more reliable communication. The first hop from B to the UAV relay R, employs a free space optics (FSO) link modeled with gamma–gamma fading. The second hop, from R to multiple users, is a radio frequency (RF) link modeled with Rayleigh fading. The direct communication between base station and mobile users is not possible due to the blockage by various natural and man-made obstacles. We analyze the outage probability at high SNR values to gain further insights into system performance. Additionally, closed-form analytical expressions for the outage probability and average bit error rate (ABER) of the proposed system are derived.

Multicarrier dual‐index permuted chaos shift keying system for efficiency improvement in chaotic communications

AbstractWe propose a multicarrier chaotic system that incorporates dual‐index and M‐ary modulation techniques. The proposed system improves the energy and spectrum efficiencies with a tradeoff in computational complexity. In addition, it applies index modulation to select the chaotic signal and permuted chaotic signals along with ‐ary modulated symbols. As a result, the spectral and energy efficiencies are increased in chaotic systems. Theoretical expressions are derived to calculate the bit error rate of the proposed system under additive white Gaussian noise and Rayleigh fading channels. The equations are validated through Monte Carlo simulations, whose results demonstrate a reduction in bit error rate for the proposed system. The data rate, spectral efficiency, energy efficiency, and computational complexity of the proposed system are analyzed and compared with those of existing multicarrier chaotic systems.

End-to-end performance of mixed RF/UWOC system with AF protocol based on Mellin transform

This paper proposes an approach to analyze the performance of radio frequency/underwater wireless optical communication (RF/UWOC) systems using Mellin inverse transform. This analysis combines heterodyne detection (HD) and direct detection /intensity modulation (IM/DD). The RF link from land ground stations to relay stations follows the Nakagami-m distributed channel. The UWOC link from the relay station to the underwater vehicle is modeled using the double generalized gamma (GG) distribution with pointing errors. By employing the Fixed Gain Amplification and Forwarding (AF) protocol, the probability density function (PDF) of the RF/UWOC link is derived using the Mellin inverse transform, expressed in the form of the Meijer-G function. In addition, expressions for the outage probability and bit error rate of the mixed system were derived. Monte Carlo simulations validated the analysis results, which demonstrated the superior performance of HD technology.

Controlled alignment imaging optical MIMO communication system based on light spot detection of arrayed light sources.

Visible light communication (VLC) technology has become one of the potential key technologies for 6 G due to its unique features, such as abundant license-free spectrum, high confidentiality, and low electromagnetic interference. In this paper, an optical multiple-input multiple-output (MIMO) communication system based on imaging reception is proposed, which can improve the data transmission rate and reduce interference between different sub-channels. To overcome the problem of optical communication link alignment, in this paper, we established an imaging optical MIMO communication system with a controlled light source array (CLSA) and proposed an optical alignment strategy to address the alignment issue. The scheme decouples the constraint that the light spot cannot be aligned with the detector in the communication system under the influence of optical parameters. Based on the light spot detection CLSA module, the communication system can ensure the stability of the link alignment when the communication distance changes. Experimental results show that when the communication distance is 20-80 m, the bit error rate (BER) of the communication system remains below 10-6. The single-channel communication rate of the system is 5 Mbps, and the total communication rate is 20 Mbps through the four-channel rate multiplexing. Moreover, if the communication distance increases to the range of 80-100 m, the BER increases, but it is always lower than the forward error correction (FEC) threshold.

Non-pilot based carrier frequency offset estimation and reflection coefficient optimization for RIS-assisted OFDM systems

Carrier frequency synchronization between the transmitter and receiver is challenging due to oscillator inaccuracies and Doppler shifts, which lead to inter-carrier interference. To address this synchronization error, i.e., carrier frequency offset (CFO), we introduce a novel method for estimating the CFO in reconfigurable intelligent surfaces (RIS)-assisted orthogonal frequency division multiplexing (OFDM) systems. Additionally, we present a method to optimize reflection coefficients, as adjusting the reflection coefficient of RIS can effectively manipulate signal propagation and amplitude, thereby enhancing system performance. In the proposed method, a randomized set of reflection coefficients is applied for the first OFDM symbol, and CFO is estimated using the oversampling method within that symbol over the Rayleigh fading environment. A deterministic approach is adopted to reduce grid search complexity. Simulation results demonstrate the superior performance of the proposed CFO estimation method, particularly in high signal-to-noise ratio scenarios, compared to the existing Zadoff Chu sequence-based estimator in terms of mean square error (MSE). Subsequently, the CFO is compensated in the second OFDM symbol using the estimated CFO, and the reflection coefficient is optimized by identifying the channel tap associated with the maximum channel impulse gain technique. The optimized reflection coefficient enhances system performance in terms of bit error rate (BER) for RIS-assisted OFDM systems.

Blockchain Technology and Smart Contract Application in Security Management of Intelligent Chemical Plants

As blockchain technology and smart contracts develop, computer technology is constantly integrating with smart chemical plants. Due to the continuous development of intelligent chemical plants, their systems have gradually become large and dispersed, posing a threat to safety management. In order to improve the performance of intelligent security management systems, the study first explores the principles of blockchain and smart contract technology, and then combined with the requirements of intelligent chemical plant security management systems, designs an intelligent security management system based on blockchain and smart contract technology. The experimental results showed that compared to systems without smart contract support, the communication success rate between nodes was lower. The error rates of blockchain-based encryption systems, deep learning-based encryption systems and improved data encryption systems proposed in the study were 0.22, 0.07 and 0.09, respectively. The packet loss rates were 0.13, 0.04 and 0.05, respectively. The lower the bit error rate and packet loss rate of the encryption system, the clearer the illegal eavesdropping information. The experimental results indicate that the intelligent security management system designed in this study has good encryption performance and a higher communication success rate. The results have certain reference value in security management application in intelligent chemical plants.

GuidingBand: Evaluating Speed, Precision and Accuracy of a Vibrotactile Hand Guidance System

Abstract Computerized tactile guidance systems can potentially help in human visual perception tasks such as identifying a desired object in a collection of similar objects. We designed a wrist-wearable tactile guidance system called GuidingBand that provides vibrational cues to help the user pick visual targets out of an array. We conducted three studies to systematically investigate the interplay of machine-led tactile guidance and human visual perception. The studies involve presenting visual targets to users on a screen and giving them visual search tasks. In Study 1, we identified the error rate of our guidance system. We presented participants (N=20) with arrays of identical, square targets to pick from, progressively reduced the target sizes and evaluated error rates for each size. Notably, we observed a 4% error rate at a target size of 10 mm. In Study 2, we compared the error rate of the guidance system with and without the help of human visual perception in a visual search task. We constructed a task that involved showing users an array of distractor rectangles (set sizes 2 to 10) varying only in length and asked them to identify the correct target that was previously shown to them. Participants (N=13) had fewer errors when they tried to identify targets with tactile guidance alone, followed by guidance and perception combined and perception alone. In Study 3, we had the same task as Study 2 but the distractor set sizes were larger (varying from 4 to 28), we had more participants (N=30) and measured errors and task time. While perception alone was the fastest, it was also the most error prone. The combined mode was faster and less error prone than guidance only mode, as expected, indicating that human–computer collaboration yielded the best performance.

Application of Adaptive Fuzzy Algorithm in Single-Chip Microcomputer Control System

Objective: In practical application, an SCM control system needs to respond to user instructions quickly and accurately, and at the same time needs to have robustness and adaptability to adapt to complex and changeable environments and working states. Therefore, how to improve the control accuracy and stability of SCM control systems, and how to adapt to the change of different working environments and working states, has become one of the important issues in the design and research of SCM control systems. Methods: Adaptive fuzzy algorithm, as a new control algorithm, has the advantages of simple structure, easy implementation and high precision, and has been widely used in many fields. On the basis of three kinds of fuzzy logic system framework, this paper analyzes the self-adaptive fuzzy algorithm single-chip microcomputer control system and carries on the corresponding performance test of the system by constructing an intelligent car. The testability test of single-chip microcomputer detection, hardware detection, algorithm recognition rate and system control rate is tested, respectively, to ensure the normal operation of the system. Conclusion: The microcontroller control system of fuzzy algorithm system is compared with that of traditional algorithm system in many aspects. The average error rate of the traditional algorithm system is 2%, while the average error rate of the fuzzy algorithm system is 0.8%. In other aspects, the fuzzy algorithm system is superior to the traditional system. For example, the fuzzy algorithm system has a 100% instruction recognition rate and a data processing speed of up to 1 second. According to the characteristics and requirements of the single-chip microcomputer control system, applying the adaptive fuzzy algorithm to the design of a single-chip microcomputer control system can effectively improve the control precision and stability of thesystem.

Polar-Coded Differential/Quadrature Chaos Shift Keying Communication Systems for Underwater Acoustic Channels

The underwater acoustic (UWA) channel causes large propagation delays and reduces the bit error rate (BER) of wireless communication systems. The t-distribution is the optimal distribution to perform UWA noise. In this study, polar-coded differential chaos shift keying (DCSK) and quadrature chaos shift keying (QCSK) communication with UWA noise are considered. First, we have proposed a PDF for the UWA noise channel, and based on this PDF, the theoretical BER is derived. Second, polar coding’s performance is determined to demonstrate the improvement in the BER performance compared to the uncoded UWA system by means of Monte Carlo simulations. The experimental results prove that the nearest model that is applicable to the UWA channel is a t-distribution with five and six degrees of freedom. The BER formulas of the proposed systems are derived and compared with the simulation results. The results confirm the performance improvement of the polar-coded chaotic modulation systems over uncoded systems in UWA channels.

Information propagation of focus wave mode localized waves in anisotropic turbulent seawater

The evolution of the information transfer capability of an optical system for underwater focused wave mode localized wave (FWMLW) in anisotropic weakly turbulent absorbing seawater is studied. By developing the probability distribution function as well as the detection probability of the vortex modes carried by the FWMLW and the average bit error rate of the FWMLW underwater system, the information capacity of the FWMLW system with a pointing error is modeled. Through a numerical analysis of the effects of turbulent seawater and optical system parameters on the built light intensity, the detection probability, and the information capacity models, we find that the FWMLW system has an optimal delay time determined by the spectrum bandwidth when the spectrum bandwidth is greater than 1. The information capacity of the FWMLW system is higher than that of the X localized wave system under the same turbulent seawater channel condition, and FWMLW is a better optical signal source for vortex mode division multiplexing underwater systems than a Bessel–Gaussian beam.

Performance analysis of two-way multi-users cooperative communication system based on GSPIM-DCSK scheme

Based on the Joint Grouping Subcarrier-Permutation Index Modulation-DCSK (GSPIM-DCSK) system, we provide a new two-way multi-user half-duplex cooperative communication system in this work. Given its many benefits, the GSPIM-DCSK modulation is specifically selected as a choice for network coding techniques. A permutation index is used in the GSPIM-DCSK system to incorporate additional data bits with the modulating and carrier index bits. Establishing a cooperative multiuser system where users attempt to make contact with one another over a common relay is the main goal of this effort. Multi-user nodes and a single relay with a cooperative operator on staff for decoding and forwarding make up this system. To avoid interference from other users, the user’s nodes multiplex across various time intervals. We derive analytical expressions for the average bit error rate (BER) of the GSPIM-DCSK multi-user cooperative communication system in the presence of additive white Gaussian noise (AWGN) and multiple paths Rayleigh fading channels. The analytical and simulated average BER findings have been contrasted to verify the accurateness of the average BER analysis. Additionally, a comparison is presented between the average bit error rate (BER) performance of a novel GSPIM-DCSK cooperative system and an established DCSK cooperative system. The throughput and link spectral efficiency of this novel cooperative system are analyzed and compared with those of existing traditional cooperative systems. For the two-way two-user cooperative system, this comparison is done with two-way two-user systems like DCSK-CC and one-way cooperative system based on CIM-SR-DCSK-CC; for the two-way three-user cooperative system, it is done with scheme1 and scheme2. To compare and assess the performance of various systems, simulation results are employed. Furthermore, an analysis demonstrates how the proposed cooperative system, when combined with GSPIM-DCSK techniques, improves the efficiency of conventional cooperative DCSK systems.

Security Analysis of Differential Chaotic Keying in Optical Communication

Space free optical communication (FSO) has the advantages of wide bandwidth resources, less susceptibility to attacks, strong resistance to interference, and low losses. The FSO system itself has high security, with the realization of single photon detection technology, the stealer can obtain information without blocking the beam propagation. So using chaotic encryption methods can further improve the security performance of communication systems. This article uses a gamma gamma turbulence model and utilizes the differential chaotic shift keying (DCSK) method of communication systems to improve the system’s resistance to attacks. The theoretical expression of the system error rate under this model is derived, and the security performance of the system is further analyzed. Through experimental simulation, it is proved that the system has better resistance to attacks and lower bit error rates.

Trading-Off Safety with Agility Using Deep Pose Error Estimation and Reinforcement Learning for Perception-Driven UAV Motion Planning

Navigation and planning for unmanned aerial vehicles (UAVs) based on visual-inertial sensors has been a popular research area in recent years. However, most visual sensors are prone to high error rates when exposed to disturbances such as excessive brightness and blur, which can lead to catastrophic performance drops in perception and motion planning systems. This study proposes a novel framework to address the coupled perception-planning problem in high-risk environments. This achieved by developing algorithms that can automatically adjust the agility of the UAV maneuvers based on the predicted error rate of the pose estimation system. The fundamental idea behind our work is to demonstrate that highly agile maneuvers become infeasible to execute when visual measurements are noisy. Thus, agility should be traded-off with safety to enable efficient risk management. Our study focuses on navigating a quadcopter through a sequence of gates on an unknown map, and we rely on existing deep learning methods for visual gate-pose estimation. In addition, we develop an architecture for estimating the pose error under high disturbance visual inputs. We use the estimated pose errors to train a reinforcement learning agent to tune the parameters of the motion planning algorithm to safely navigate the environment while minimizing the track completion time. Simulation results demonstrate that our proposed approach yields significantly fewer crashes and higher track completion rates compared to approaches that do not utilize reinforcement learning.

A tactical data link model based on CCSK-FMSK

In collaborative combat operations, the challenges brought by the communication adversities of tactical data links are becoming increasingly prominent. Ensuring the reliable connection of tactical data links has always been a key issue, especially considering the increasing impact of external interference on the signal at the receiving end of the system, which in turn affects the bit error rate (BER) of the tactical data link system. To address this challenge, this paper proposes a tactical data link anti-interference scheme based on cyclic code shift keying (CCSK) spread spectrum and minimum shift keying (MSK) modulation fusion frequency hopping technology, named CCSK-FMSK, and introduces turbo code and cyclic redundancy check (CRC) coding to construct a tactical data link model based on CCSK-FMSK. Specifically, CCSK-FMSK disperses interference power by expanding the signal spectrum, enhancing the anti-interference ability of tactical data links. CRC coding and Turbo coding achieve error detection and correction by introducing supervised symbols. In addition, this paper proposes a soft despreading and a soft demodulation algorithm corresponding to CCSK spread spectrum and MSK modulation to achieve cascade with Turbo decoder and improve the error rate performance and robustness of the model. Compared with existing models, the tactical data link based on CCSK-FMSK has better BER performance.

Implementation of Highly Reliable Convolutional Neural Network with Low Overhead on Field-Programmable Gate Array

Due to the advantages of parallel architecture and low power consumption, a field-programmable gate array (FPGA) is typically utilized as the hardware for convolutional neural network (CNN) accelerators. However, SRAM-based FPGA devices are extremely susceptible to single-event upsets (SEUs) induced by space radiation. In this paper, a fault tolerance analysis and fault injection experiments are applied to a CNN accelerator, and the overall results show that SEUs occurring in a control unit (CTRL) lead to the highest system error rate, which is over 70%. After that, a hybrid hardening strategy consisting of a finite state machine error-correcting circuit (FSM-ECC) and a triple modular redundancy automatic hardening technique (TMR-AHT) is proposed in this paper to achieve a tradeoff between radiation reliability and design overhead. Moreover, the proposed methodology has very small workload and good migration ability. Finally, by full exploiting the fault tolerance property of CNNs, a highly reliable CNN accelerator with the proposed hybrid hardening strategy is implemented with Xilinx Zynq-7035. When BER is 2 × 10−6, the proposed hybrid hardening strategy reduces the whole system error rate by 78.95% with the overhead of an extra 20.7% of look-up tables (LUTs) and 20.9% of flip-flops (FFs).

Research on Intangible Cultural Heritage Outreach Translation Based on Natural Language Processing Technology

Abstract In this paper, a CNN-Bi-LSTM-CRF model is formed by using convolutional neural network combined with Bi-LSTMCRF, and at the same time, with the help of the attention mechanism, which is used to carry out attribute extraction research on the attribute-valued texts in the intangible cultural heritage annotated intangible cultural heritage attribute corpus as well as the validation of the automatic text detection system for the error text, and the results show that the CNN-Bi-LSTM-CRF model performs optimally in the attribute extraction of “heritage type”, with a score of 97.382. The results show that the CNN-Bi-LSTM-CRF model has the best performance, with a score of 97.382 in the attribute extraction of “heritage type”, and the average detection error rate of the traditional system is (17.5%,14.20%) in the comparison of the detection error rate of handwritten and printed text, respectively, the average detection error rate of Bi-LSTM-CRF is (7.19%, 6.15%). The average detection error rate is (7.19%, 6.15%). CNN-Bi-LSTM-CRF samples and categorizes the translations of the three NRLs, and finds that there is a considerable proportion of mistranslations in the linguistic dimension (30.2%), cultural dimension (8.05%) and communicative dimension (10.07%). Finally, it explores tourists’ satisfaction with the destination through outreach factors. Most foreign tourists’ affective polarity scores for the Great Wall range from 0.1 to 0.3, with primarily positive emotions.

Average capacity and ABER for perfect optical vortex system in weakly to strongly turbulent oceans

Based on the modified Rytov method, the reception probability spectrum, average bit error rate (ABER), and average channel capacity of the perfect optical vortex (POV) optical system using quadrantal amplitude modulation (QAM) are derived by introducing the mutual coherence function of POV in weak to strong turbulent seawater. The relationship between eddy topological charge, seawater turbulence characteristic parameters, optical system performance parameters, reception probability spectrum the bit error rate, and the average capacity of the POV optical system is numerically analyzed. The following important results are obtained: in long-distance turbulent seawater, the conclusion that the radius of bright ring POV remains almost constant in short-distance standing water and running water is still valid. 4-QAM is more suitable for signal modulation of the POV system in moderate to strong turbulent seawater. The increase of the vortex ring will lead to the increase of the crosstalk degree between vortex modes and the bit error rate of the POV system. Medium to strong turbulence changes the properties that the transmission ability of POV vortex signal mode in non-turbulent media is independent of the topological charge of the vortex. The transmission performance of vortex signals of the POV optical system can be improved by choosing a smaller half-beamwidth of signal, a higher ring radius to the half-beamwidth ratio of the signal, a lower topological charge of vortex mode, a longer signal wavelength, and higher SNR of the optical system.

Uniquely Decodable Multi-Amplitude Sequence for Grant-Free Multiple-Access Adder Channels

Grant-free multiple-access (GFMA) is a valuable research topic, since it can support multiuser transmission with low latency. This paper constructs novel uniquely-decodable multi-amplitude sequence (UDAS) sets for GFMA systems, which can provide high spectrum efficiency (SE) without additional redundancy. We give the definition of a <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">T</i> -size UDAS set, and construct two kinds of UDAS sets based on cyclic and quasi-cyclic modes. Then, we propose an UDAS-based multi-dimensional bit interleaving coded modulation (MD-BICM) transceiver, with corresponding detection algorithms, i.e., a statistic of UDAS feature based active user detection algorithm (SoF-AUD) and a multiuser detection iteration decoding algorithm. In addition, the theoretical active user error rate (AUER) and Shannon limits of the proposed system are deduced. Simulation results show that our proposed system can simultaneously support four users with an AUER of 10 <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">-5</sup> , under the condition that <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">E_b</i> / <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">N</i> <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">0</sub> is 0 dB and the length of transmit block is larger than a specified value, e.g., 784, verifying the validity of the proposed UDAS sets.