Multiple Modules Research Articles

Polarimetric Photodetectors with Multi‐Control States for Multi‐Valued Encoding Communication and Polarization Image Applications

AbstractPolarimetric photodetectors hold significant promise in optical communication and polarization imaging applications due to their additional ability to detect polarization states of light. The strategy of multiple states modulation plays a crucial role in performance optimization and multi‐valued logic output, enabling higher information transmission density and clearer polarization recognition. Following this context, a Ta2PdSe6/MoTe2 semimetal/semiconductor heterojunction‐based polarimetric photodetector with multi‐control states that can enable the multi‐valued encoding communication and high‐contrast polarization imaging applications is developed. As dual‐electrically controlled states, the gate and bias voltages can significantly modulate the performance metrics. As a result, the device can be configured with tunable detectivity from 3.6 × 1010 to 2.19 × 1012 Jones and polarization ratios from 3.8 to 8.14 under 808 nm illumination. By further combining additional dual‐optically control states (light intensity and polarization angle), the device achieves four logic states output, thus realizing multi‐valued encoding optical communication with higher transmission efficiency and information density. Leveraging these four control states, a polarization imaging system capable of operating at different angles is also realized, with an enhanced degree of linear polarization from 0.51 to 0.8, allowing better differentiation of object features under different polarization states. This work demonstrates a polarimetric photodetector with multi‐control states, showing promising potential in high‐density communication and high‐resolution imaging applications.

Microwave-resonator-enabled broadband on-chip electro-optic frequency comb generation

Optical frequency combs play a crucial role in optical communications, time-frequency metrology, precise ranging, and sensing. Among various generation schemes, resonant electro-optic combs are particularly attractive for their excellent stability, flexibility, and broad bandwidths. In this approach, an optical pump undergoes multiple electro-optic modulation processes in a high-Q optical resonator, resulting in cascaded spectral sidebands. However, most resonant electro-optic combs to date make use of lumped-capacitor electrodes with relatively inefficient utilization of the input electrical power. This design also reflects most electrical power back to the driving circuits and necessitates costly radio-frequency (RF) isolators in between, presenting substantial challenges in practical applications. To address these issues, we present an RF circuit friendly electro-optic frequency comb generator incorporated with on-chip coplanar microwave resonator electrodes, based on a thin-film lithium niobate platform. Our design achieves more than three times electrical power reduction with minimal reflection at the designed comb repetition rate of ∼25 GHz. We experimentally demonstrate broadband electro-optic frequency comb generation with a comb span of >85 nm at a moderate electrical driving power of 740 mW (28.7 dBm). Our power-efficient and isolator-free electro-optic comb source could offer a compact, low-cost, and simple-to-design solution for applications in spectroscopy, high-precise metrology, and optical communications.

Multi‐fold Phase Metasurface Holography Based on Frequency and Hybrid Decoupling Polarizations

AbstractMetasurfaces are artificially intelligent planar optical devices that can realize excellent functions by optimizing the design of nanostructures and arrays. Metasurfaces have become the preferred approach for fabricating integrated and compact optical systems with micro‐ and nano‐scale solutions for realizing multi‐dimensional modulated optical devices. Herein, the realization of multi‐fold phase holography is demonstrated by combining switchable optical frequencies with hybrid circular and linear polarization states. The original holographic phase distribution can be inversely optimized using an adaptive momentum gradient descent algorithm. Furthermore, completely different images can be reconstructed when the phase values are several times the original values. The multi‐fold phase modulation can be achieved by optimizing the structural distribution of the dielectric metasurface with the incident changeable light frequency and decoupled circular and linear polarization. Different polarization combinations enhance the flexibility of multiple holographic modulations. This technology provides new solutions for dynamic multi‐fold beam directional refraction and excitation, orbital angular momentum communication, multi‐fold holographic displays, optical encryption and camouflage, light switching, and shaping.

Epigenetic Regulation Via Electrical Forces.

Multiple epigenetic modulations occur to chromatin rather than to DNA itself and these influence gene expression or gene silencing profoundly. Both the creation of these post-translational modifications and the mechanisms of their readout are regulated significantly by electrical forces several of which are discussed. They are also influenced by phase separation which itself is driven by electrical forces.

A Two-Dimensional Multiplication Modulation Jamming Method against High-Resolution Spaceborne SAR Based on Defocus Correction

A Two-Dimensional Multiplication Modulation Jamming Method against High-Resolution Spaceborne SAR Based on Defocus Correction

Independent Multiple‐Optical‐Parameter Modulations Enabled by Manipulating the Separate Levels of a Hierarchical Structure

AbstractOwing to their intrinsic multiple physical dimensions and high parallelism, photons are superior to electrons when they act as information carriers. The independent and dynamic spatial modulations of multiple optical parameters of light are highly pursued in vital fields such as supercomputing, constellation satellite and optical communications, virtual/augmented reality, and holographic displays. To date, it is still challenging to accomplish this urgent task with a single element. Here, multiple optical parameter modulations are carried out via manipulation of the separate levels of a hierarchical structure. Photopatterning, light irradiation, and an electric field are adopted to regulate the patterned crystallizations, lattice constants, and tilt angles of blue‐phase liquid crystals (BPLCs). As the optical parameters are associated with the individual structural features, it enables binary reflectance and spatial geometric phase modulations, reversable wavelength shifting, and continuous reflectance variations with excellent independency. This work unlocks the multi‐degree modulation of light and addresses the miniaturization, integration, and dynamic and multifunctional tendencies of rapidly growing optical informatics. Owing to its merits of omnidirectional, independent control, and dynamic response, it may dramatically upgrade the performance of existing optics.

Template‐based universal adversarial attack for synthetic aperture radar automatic target recognition network

AbstractExisting synthetic aperture radar (SAR) adversarial attack algorithms primarily focus on the digital image domain, and constructing adversarial examples in real‐world scenarios presents significant and challenging hurdles. This study proposes the template‐based universal adversarial attack (TUAA) algorithm. Initially, a SAR interference template generator module is constructed to derive a universal adversarial perturbation in the image domain. The designed loss function guides the parameter updating of the generator, thereby improving the attack effectiveness and perturbation concealment. Subsequently, a SAR jamming signal generator module is developed, which swiftly generates the interference signal using the range convolutional and azimuth multiplication modulation jamming method. Consequently, the victim model can be effectively targeted by merely transmitting the jamming signal to the SAR receiver. Experimental results show that TUAA reduces the recognition rate of four typical DNN models to less than 15% under acceptable time costs and image deformation.

Joint Power and Delay Optimization‐Based Resource Allocation in Mu‐MIMO‐OFDM System: Deep Convolutional Red Piranha Pyramid‐Dilated Neural Network

ABSTRACTIn general, Multi‐User Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing (MU‐MIMO‐OFDM) enables multiple users to simultaneously communicate with a single base station using multiple antennas and OFDM modulation. Nevertheless, resource allocation challenges such as power management and delay optimization arise within MU‐MIMO‐OFDM systems, requiring sophisticated solutions to ensure efficient use of resources and optimal system performance. Thus, joint power and delay optimization‐based resource allocation using a Deep Convolutional Pyramid‐Dilated Neural Network (DCPDNN) with Red piranha optimization and Optimal Delay Scheduling conflict graphs Algorithm (DCPDNN‐RPO‐ODSCGA) in MU‐MIMO‐OFDM system is proposed in this presented research. The proposed mechanism is performed in two stages: power allocation and delay optimization. In the first stage, through a Deep Convolutional Pyramid‐Dilated Neural Network (DCPDNN), which aims to maximize throughput, the network resources are distributed to user equipment (UEs) based on power and transmission rate. To reduce the loss function, Red Piranha Optimization (RPO) is proposed to optimize the layers of DCPDNN. In the second stage, the Optimal Delay Scheduling conflict graphs Algorithm (ODSCGA) is proposed for the optimizing delay in the MU‐MIMO‐OFDM system. The multiracial envelope procedure and service curve for traffic flows in the uplink transmission are used in the ODSCGA approach to estimate the delay‐bound value. Ideas like the maximal weight independent set and optimal conflict graph are also utilized. The simulations of DCPDNN‐RPO‐ODSCGA were conducted using MATLAB software. Thus, the proposed approach has attained higher spectral capacity, higher fairness index, and increased cumulative distribution function (CDF), 29.74%, 32.98%, and 16.46% lower loss rate, 28.05%, 24.09%, and 17.45% improved energy efficiency, 15.09%, 13.78%, and 12.05% lower processing time than other conventional approaches like MPQM‐SCA, Hyb‐BF‐DSA, and SIA‐FDBD methods, respectively.

Dion-Jacobson Perovskites with a Ferroelectrically Switchable Chiral Nonlinear Optical Response.

Electrically switchable second harmonic generation (SHG) is highly valuable in electro-optic modulators, which can be deployed in data communication and quantum optics. Coupling circular dichroism (CD) with an electrically controlled SHG process is advantageous because it enhances the signal transmission bandwidth and security while enabling multiple modulation modes for optical logic. However, ferroelectrically switchable chiral second-order nonlinearity is rarely reported. Here, we demonstrate the electro-optic modulation of SHG based on the multipolar effect in a chiral ferroelectric two-dimensional hybrid perovskite s-(FBDA)CdCl4 (s-FBDA = (2s)-2-fluorobutane-1,4-diamine). s-(FBDA)CdCl4 (s-FCC) crystals are highly stable in air, and its SHG response exhibits circular dichroism (i.e., SHG-CD) that can be ferroelectrically switched. The ferroelectrically switchable SHG-CD arises from the reconfiguration of distinct chirality-induced multipolar moments during the ferroelectric switching process. This reconfiguration induces a π/2 circular difference in SHG, leading to a reversal of circularly polarized light sensitivity. As a proof of concept, we demonstrate that the electrically controlled SHG-CD of s-FCC can be used in the transmission of encrypted optical communications.

A Highly Hardware Efficient ML-KEM Accelerator with Optimised Architectural Layers

The Module-Lattice-Based Key encapsulation Mechanism (ML-KEM) scheme, which is currently being standardized, is a quantum attack resistant KEM that is based on CRYSTALS-Kyber. CRYSTALS-Kyber is the only Public-key Encryption (PKE)/ KEM scheme selected in the first set of successful candidates as part of the NIST initiated Post-Quantum Cryptography (PQC) process. ML-KEM scheme includes three different security levels, namely security level 1, 3, and 5. In this research, we propose a highly area-time efficient hardware ML-KEM architecture. The architecture comprises three computational layers. The first layer comprises a hash and sampling module; the second layer includes a number theoretic transform (NTT), its inverse (INTT) and a point-wise multiplication (PWM) module; and the third layer comprises addition, compressing and encoding. Intra-layer pipelining and out-of-layer scheduling ensures that either layer 1 or layer 2 operate in the shortest time. In the reduction module, we propose a novel hybrid architecture to obtain the final result within 2 cycles with low area consumption. In the NTT module, the PWM pipelining method is modified and an optimised iterative FIFO access method is adopted to reduce the size of FIFO units by 55% over previous research. Look-up tables are also used to replace the first-stage of the NTT to reduce 8 cycles. Furthermore, the memory unit uses only FIFOs, the size are optimised based on the requirements of the most resource-intensive function in ML-KEM (ML-KEM.CPA.Dec). The results show that the proposed architecture 48.2%, 41.2%, and 78.1% reduction in computational time in comparison to previous work for security level 1, 3 and 5, respectively. In addition, the area of proposed optimised ML-KEM designs is reduced by 73%, 70%, 76% and resulting in an improved area-time (AT) product of 15.8%, 10.7%, and 11.3%, for the Level 1, 3 and 5 security levels respectively, compared with state-of-the-art designs.

Fuzzy Soc–Small Two-Absorbing Modules and Related Concepts

This study presents the fuzzy socle small two-Absorbing module and compares it to other fuzzy modules, including fuzzy small prime, fuzzy small two-Absorbing, and fuzzy two-Absorbing. Numerous aspects found during the investigation and discussion supported the new ideas, which fall within the fuzzy hollow, fuzzy chain, and fuzzy multiplication module classes. Discuss the connection between this concept and the fuzzy socle small two-Absorbing ideal. To create a new fuzzy socle small two-Absorbing, these findings are required.

Evolution of Nuvoton Microcontroller-based Education Board

Background:: The novel coronavirus pandemic has not only affected people's health. The pandemic has also affected their social life and work. For all the reasons mentioned, international trade has suffered and is still in the process of recovery. Objective:: Especially in the semiconductor industry, many manufacturers postponed their deliveries to future periods and this triggered the chip crisis. Many hightech industries, including the automotive industry, were deeply affected by the consequences of the crisis, with factories halting or slowing down production. Despite the shortage of chip stocks, Nuvoton has a large amount of Microcontroller Units (MCUs), but due to the shortage of resources, education and libraries, software developers have not been able to integrate their products in a limited time. Methods:: In this paper, the Nuvoton Education Board has presented 20 common examples for embedded software developers and beginners. Results:: The PCB is designed considering all modules connected to separate General Purpose Input Output (GPIO) pins to make multiple module examples without changing the peripherals and pin configuration of the MCU. Clock configuration has been simplified and unnecessary details have been meticulously removed to make the examples easily understandable. Nuvoton NuMaker M263KI V1.3 was added on the designed PCB. Conclusion: The PCB contains almost all the necessary electronics to learn embedded software and use Nuvoton MCUs in industrial projects. The board is supported with user interfaces and printed documentation. The codes are explained with command lines to teach users even small details. A patent application has been filed for the proposed education board.

Investigation of Bounded Modules and Some related Concepts

The definition of a class of module as well as submodule namely (bounded module and bounded submodule) has introduced in various ways. In this study, we concentrate on some comparisons and analyzations of bounded module’s properties and its relation specifically with prime module and other types of modules and submodules such as: scalar, multiplication, and cyclic modules. In addition, we scan the behavior of this concept under some conditions in order to reach other types of modules and given some counterexamples for several unsatisfying relationships. Finally, we add some new results about some types of modules that are related to bounded modules and open a new path that encourage other researchers about this topic.

An Innovative Method for Improving the Performance of UAV‐SM‐NOMA for 6G Networks Over Generalized Fading Channels

ABSTRACTThe emergence of 6G wireless communications has brought numerous challenges and opportunities for meeting the growing demands of enhanced system capacity, higher data rates, lower latency, improved security, and stringent quality of service (QoS) requirements. One promising solution to tackle these challenges involves utilizing unmanned aerial vehicles (UAVs) in conjunction with nonorthogonal multiple access (NOMA) and spatial modulation (SM). However, optimizing the performance of UAV‐based SM‐NOMA systems for both perfect and imperfect channel state information (CSI) over generalized fading channels (α–μ, k–μ and η–μ) while simultaneously considering multiple objectives is a complex task. To address these challenges, this paper proposes integrating the monarch butterfly optimization algorithm (MBOA) into UAV‐SM‐NOMA systems for 6G networks. Inspired by the foraging behavior of monarch butterflies, the MBOA aims to enhance UAV‐based SM‐NOMA systems' performance by optimizing resource allocation, increasing system sum rate, reducing outage probability (OP) and bit error rate (BER), improving spectrum efficiency (SE), and ensuring desirable signal‐to‐interference‐plus‐noise ratio (SINR) levels. Key findings include that the MBOA effectively improves performance metrics across generalized fading channels compared to existing UAV‐assisted NOMA and orthogonal multiple access (OMA) models. Simulation results confirm that the proposed UAV‐assisted SM‐NOMA model with MBOA significantly outperforms conventional approaches, demonstrating superior capacity, reliability, and efficiency in 6G network scenarios.

A Shadow Imaging Bilinear Model and Three-Branch Residual Network for Shadow Removal.

The current shadow removal pipeline relies on the detected shadow masks, which have limitations for penumbras and tiny shadows, and results in an excessively long pipeline. To address these issues, we propose a shadow imaging bilinear model and design a novel three-branch residual (TBR) network for shadow removal. Our bilinear model reveals the single-image shadow removal process and can explain why simply increasing the brightness of shadow areas cannot remove shadows without artifacts. We considerably shorten the shadow removal pipeline by modeling illumination compensation and developing a single-stage shadow removal network without additional detection and refinement networks. Specifically, our network consists of three task branches, i.e., shadow image reconstruction, shadow matte estimation, and shadow removal. To merge these three branches and enhance the shadow removal branch, we design a model-based TBR module. Multiple TBR modules are cascaded to generate an intensive information flow and facilitate feature integration among the three branches. Thus, our network ensures the fidelity of nonshadow areas and restores the light intensity of shadow areas through three-branch collaboration. Extensive experiments demonstrate that our method outperforms the state-of-the-art methods. The model and code are available at https://github.com/nachifur/TBRNet.

Research on the Progress of Modulation Technology and Data Transmission Technology in Underwater Wireless Optical Communication

Recently, as an efficient data transmission method, underwater wireless optical communication has become one of the key research topics in the fields of military communication and underwater surveillance. Modulation technology and technology in the transmission process play a key role in the UWOC system, which directly affects the performance, accuracy and safety of the system. The advanced modulation techniques from Intensity Modulation (IM), Pulse Modulation, Quadrature Amplitude Modulation (QAM), and Quadrature Phase Shift Keying (QPSK) to the combination of multiple modulation techniques, as well as the development process of modulation technology in optical encryption, are summarized in this paper. In terms of data transmission technology, the technological progress process from simplex to full-duplex communication is summarized. Finally, a reference solution is proposed to solve the challenges in realizing the underwater communication goals of long-distance, high-speed, low-bit error rate, and large-capacity underwater communication at the same time, and future development is prospected.

Modules with reduced endomorphism rings

In this paper, we study endo-reduced modules as modules whose endomorphism rings have no nonzero nilpotent elements. We characterize their properties for different classes of modules, including [Formula: see text]-non-singular modules, multiplication modules and finitely generated modules over commutative Dedekind domains. In the subcategory of finitely generated modules, it is shown that the class of rings [Formula: see text] for which every faithful multiplication [Formula: see text]-module is endo-reduced is precisely that of reduced rings; while the class of rings [Formula: see text] for which every multiplication [Formula: see text]-module is endo-reduced is precisely that of von Neumann regular rings. Characterizations of when an endo-reduced module will be a reduced module are given. We prove that a finitely generated module over a principal ideal domain (PID) is endo-reduced exactly if it is either a semisimple module with pair-wise non-isomorphic submodules or a torsion-free module which is isomorphic to the underlying ring.

5G network performance using novel MIMO mixed FSO/MMW communication systems under pointing errors effect: test analysis using image transmission

Abstract Millimeter waves (MMW) enable high data rates over short distances; free-space optical (FSO) provides high-capacity optical wireless transmissions; and multiple-input multiple-output (MIMO) maximizes antenna utilization. These are the three leading technologies that work harmoniously to deliver 5G’s superior performance. This collaborative effort results in 5G’s ability to offer high connection capacities, low latency, and rapid speeds, creating new opportunities for industrial and internet of things applications. In this paper, the proposed system combines FSO links and MMW radio frequency (RF) links to enhance the performance of mixed FSO/RF systems. FSO experiences turbulence and pointing errors (PE), while MMW undergoes fading. Using both FSO and MMW provides diversity against channel fading. Furthermore, both the FSO and MMW links utilize MIMO technology to combat fading through spatial diversity. The FSO link is modeled with a Gamma-Gamma Turbulence model and PE. The MMW link is modeled with Rayleigh fading. By combining these two types of links with MIMO, the system can achieve improved performance compared to using either FSO or MMW alone. The dual nature of the system provides robustness against different types of channels fading effects. Overall, the goal is to enhance performance by capitalizing on the complementary channel characteristics of optical and RF links and exploiting MIMO’s spatial diversity benefits. In the present work, closed-form formulas accounting for the influence of PE are generated for the bit error rate (BER). This article also explores the MIMO mixed FSO/MMW system with multiple modulation techniques under various turbulence situations. The suggested system is ultimately verified by transmitting images with suitable fixed BER.

Classification of multiplication modules over multiplication rings with finitely many minimal primes

Abstract A classification of multiplication modules over multiplication rings with finitely many minimal primes is obtained. A characterization of multiplication rings with finitely many minimal primes is given via faithful, Noetherian, distributive modules. It is proven that for a multiplication ring with finitely many minimal primes every faithful, Noetherian, distributive module is a faithful multiplication module, and vice versa.

Research on Typical Fault Diagnosis of Gear based on GHM Multiwavelet Transform and MCKD Algorithm

Background: Gear is the key part of the transmission part of mechanical equipment, which has a high failure rate under complex working conditions or long-term operation, directly affecting the reliability of mechanical equipment. To realize online monitoring of gears and predict gear faults, whether the diagnosis of typical gear faults is accurate and timely is a key link, so it is necessary to study the diagnosis of typical gear faults. Objective: This paper aims to propose a method that can effectively diagnose typical faults of gears and is easy to program, which is beneficial to realize online monitoring of rotating machinery equipment faults. Method: A typical gear fault diagnosis method based on GHM multiwavelet transform and maximum correlation kurtosis deconvolution algorithm (MCKD) is proposed in this paper. The measured vibration signal is decomposed into components with multiple scale spaces and frequency bands through the GHM multiwavelet transform. Then, the MCKD algorithm is run to suppress the noise of GHM multiwavelet transform coefficients, and the periodic components containing fault information are retained and reconstructed. The typical faults such as gear pitting and broken teeth are tested. Results: GHM multiwavelet transform combined with MCKD algorithm can accurately locate the frequency band containing fault information from the vibration signal with multiple modulations, double sideband, and multi-frequency interference and effectively extract the fault frequency and its frequency multiplication. The root means a square error of the extracted fault frequency is 0.08. This method has a good noise suppression effect and high accuracy in extracting fault frequency. Conclusion: The method proposed in this paper is helpful in realizing automatic programming of gear fault diagnosis and is of great significance in realizing real-time monitoring and online diagnosis of rotating machinery equipment faults. More related patents will appear in the future.