Digital Scheme Research Articles

Digital-analog quantum learning on Rydberg atom arrays

Abstract We propose hybrid digital-analog learning algorithms on Rydberg atom arrays, combining the potentially practical utility and near-term realizability of quantum learning with the rapidly scaling architectures of neutral atoms. Our construction requires only single-qubit operations in the digital setting and global driving according to the Rydberg Hamiltonian in the analog setting. We perform a comprehensive numerical study of our algorithm on both classical and quantum data, given respectively by handwritten digit classification and unsupervised quantum phase boundary learning. We show in the two representative problems that digital-analog learning is not only feasible in the near term, but also requires shorter circuit depths and is more robust to realistic error models as compared to digital learning schemes. Our results suggest that digital-analog learning opens a promising path towards improved variational quantum learning experiments in the near term.

Comparative analysis of RNN versus IIR digital filtering to optimize resilience to dynamic perturbations in pH sensing for vertical farming

AbstractVertical farming (VF) refers to systems of agriculture where crops are grown in trays stacked vertically by exposing them to artificial light and using sensing technology to improve product quality and yield. In this work, we propose an advanced filtering scheme based on recurrent neural networks (RNNs) and deep learning to enable efficient control strategies for VF applications. We demonstrate that the best RNN model incorporates five neuron layers, with the first and second containing 90 long short‐term memory neurons. The third layer implements one gated recurrent units neuron. The fourth segment incorporates one RNN network, while the output layer is designed by using a single neuron exhibiting a rectified linear activation function. By utilizing this RNN digital filter, we introduce two variations: (1) a scaled RNN model to tune the filter to the signal of interest, and (2) a moving average filter to eliminate harmonic oscillations of the output waveforms. The RNN models are contrasted with conventional digital Butterworth, Chebyshev I, Chebyshev II, and elliptic infinite impulse response (IIR) configurations. The RNN digital filtering schemes avoid introducing unwanted oscillations, which makes them more suitable for VF than their IIR counterparts. Finally, by utilizing the advanced features of scaling of the RNN model, we demonstrate that the RNN digital filter can be pH selective, as opposed to conventional IIR filters.

Nanoscale Wet Etching of Molybdenum Interconnects with Organic Solutions.

Molybdenum (Mo) has emerged as a promising material for advanced semiconductor devices, especially in the design and fabrication of interconnects requiring sub-10nm metal nanostructures. However, current wet etching methods for Mo using aqueous solutions struggle to achieve smooth etching profiles at such scales. To address this problem, we explore wet chemical etching of patterned Mo nanowires (NWs) using an organic solution: ceric ammonium nitrate (CAN) dissolved in acetonitrile (ACN). In this study, we demonstrate two distinct etching pathways by controlling the reaction temperature: i) digital cyclic scheme at room temperature, with a self-limiting Mo recess per cycle of ≈1.6nm, and ii) direct etching at elevated temperature (60°C), with a time-controlled Mo recess of ≈2nm min-1. These methods not only offer a highly controllable nanoscale Mo etching but also ensure smooth and uniform etching profiles independent of the crystal grain orientation of the metal.

Photonic neuromorphic accelerators for event-based imaging flow cytometry

In this work, we present experimental results of a high-speed label-free imaging cytometry system that seamlessly merges the high-capturing rate and data sparsity of an event-based CMOS camera with lightweight photonic neuromorphic processing. This combination offers high classification accuracy and a massive reduction in the number of trainable parameters of the digital machine-learning back-end. The event-based camera is capable of capturing 1 Gevents/sec, where events correspond to pixel contrast changes, similar to the retina’s ganglion cell function. The photonic neuromorphic accelerator is based on a hardware-friendly passive optical spectrum slicing technique that is able to extract meaningful features from the generated spike-trains using a purely analogue version of the convolutional operation. The experimental scenario comprises the discrimination of artificial polymethyl methacrylate calibrated beads, having different diameters, flowing at a mean speed of 0.1 m/sec. Classification accuracy, using only lightweight digital machine-learning schemes has topped at 98.2%. On the other hand, by experimentally pre-processing the raw spike data through the proposed photonic neuromorphic spectrum slicer at a rate of 3 × 106 images per second, we achieved an accuracy of 98.6%. This performance was accompanied by a reduction in the number of trainable parameters at the classification back-end by a factor ranging from 8 to 22, depending on the configuration of the digital neural network. These results confirm that neuromorphic sensing and neuromorphic computing can be efficiently merged to a unified bio-inspired system, offering a holistic enhancement in emerging bio-imaging applications.

An Image Encryption Algorithm Based on Tabu Search and Hyperchaos

In this paper, we propose a digital image encryption scheme based on Tabu Search (TS) algorithm and Chen’s hyperchaos system. First, in order to enhance the security of the algorithm and resist the known-plaintext attack, the key is associated with the ordinary image, and the hash value generated by the ordinary image is used as the initial value of the hyperchaotic system. Moreover, the TS algorithm is used to obtain the optimal subsequence to scramble the sub-block image, which ensures the scrambling effect of the algorithm. In addition, for the sake of minimizing the correlation of neighborhood pixels and strengthening the effect of scrambling, the ordinary image is divided into blocks for scrambling and diffusion. Through simulation and experiments, the key sensitivity, differential attack and pure ciphertext attack are analyzed. Compared with the other encryption schemes, the results verify the effectiveness and reliability of the proposed scheme.

ФОРМИРОВАНИЕ ЕДИНОЙ СИСТЕМЫ МАЛЫХ ЗАКУПОК В СТРАХОВОЙ СФЕРЕ В СЕВЕРО-ЗАПАДНОМ ФЕДЕРАЛЬНОМ ОКРУГЕ

The article analyzes the current situation with budgeting, organizing and conducting small purchases within the framework of Laws No. 44-FZ and No. 223-FZ in the Northwestern Federal District. In the OSAGO segment, the main reasons for the low transparency of small purchases, the low interest of insurers in participating in them and the high risks of corruption in their organization and implementation are considered. A digital scheme for organizing small purchases and calculating the initial maximum price of contracts based on the information system of the Russian Union of Motor Insurers within one federal district is proposed. The economic and legal expediency of implementing this scheme is justified both to protect the interests of customers and to develop the insurance market of the region as a whole. The possibility of scaling this scheme to other man- datory types of insurance, in calculating the insurance premium for which tariffs established by the Central Bank of the Russian Federation or other authorities are applied, is considered.

Supplying Cash-Constrained Retailers: Understanding Shopkeeper Behavior at the Bottom of the Pyramid

Problem definition: As the largest retail channel in the world, nanostores are the source of income for millions of shopkeepers in developing countries. Being cash constrained, nanostore shopkeepers face the challenge of deciding how much of their available cash to retain to support their families and how much to invest in acquiring products from their suppliers, who visit the nanostore with different frequencies and offer products with different margins. We study how shopkeepers deal with this challenge while seeking to make their nanostores financially sustainable. Methodology/results: We conduct an empirical study to explain how suppliers’ visit frequency influences shopkeepers’ ordering behavior. The study integrates more than 29 million orders placed with a multinational manufacturer. Results show that visit frequency adjustments by the supplier cause nanostores to experience a significant discontinuity in their orders such that reduced order frequency leads to significantly lower orders per unit of time. Building on this insight, we ran two experimental studies that make use of theoretical benchmarks to explore how shopkeepers’ ordering decisions are influenced by supplier visit frequency, product margin, and shopkeepers’ cash constraints. We analyze how and when shopkeepers deviate from the theoretical benchmarks and show how the available budget moderates the relationship between suppliers’ visit frequencies and shopkeepers’ order volumes, normalized by unit of time. Our results give support to the theory of diversification bias and show how this bias might bring additional benefits to suppliers offering low-margin products. Finally, we propose a behavioral model that explains how shopkeepers’ decisions might be driven by their preference toward inventory (i.e., leftover versus shortage aversion) and toward cash (i.e., liquidity preferences). Managerial implications: Our findings suggest that suppliers should deploy high-frequency visits to cash-constrained nanostores regardless of the margin that their products provide for shopkeepers. For low-margin suppliers, this mitigates shopkeepers’ tendencies to reduce the order volume per unit of time following a visit frequency decrease. For high-margin suppliers, high-frequency visits mitigate shopkeepers’ overdiversification bias and liquidity preference. Financial and digital schemes that reduce the need for high-frequency visits may lead to substantial efficiency gains. Supplemental Material: The online appendix is available at https://doi.org/10.1287/msom.2022.0362 .

A digital resource copyright protection scheme based on blockchain cross-chain technology

With the expansion of the digital publishing industry, copyright infringement of digital resources has become increasingly rampant. Blockchain technology offers a promising solution for copyright protection of digital resources. However, existing copyright protection methods based on single-chain or consortium blockchains have disadvantages such as low system processing efficiency, poor scalability, and a lack of alignment with real-world business needs. To address the current challenges of blockchain technology in the field of copyright protection and establish a more effective solution for protecting digital resource copyrights, while also expanding the application of blockchain cross-chain technology and promoting its development, leveraging blockchain cross-chain theory, technology, and methods, a digital resource copyright protection scheme based on blockchain cross-chain technology was constructed. It outlines detailed processes for copyright registration, resource transactions, copyright modifications, and copyright enforcement. Furthermore, this copyright protection scheme was analyzed. The findings indicated that the blockchain cross-chain technology is suitable for digital resource copyright protection. The proposed copyright protection scheme can allow various stakeholders to better fulfill their roles, in addition to enhancing the overall maintainability and scalability of the blockchain system.

Exploring the Effect of Qi Cross-Shaped Moxibustion on the Recovery of Gastrointestinal Function after Hip Fracture in the Elderly

Objective: To explore the effect of Qi cross-shaped moxibustion on the recovery of gastrointestinal function in elderly hip fracture patients after surgery. Methods: 62 elderly hip fracture surgery patients were selected as the base analysis sample, enrolled in January 2023–May 2024, and divided into an observation group (n = 31) and a control group (n = 31) using the digital table random draw scheme. The patients in the control group underwent conventional dietary intervention, and the patients in the observation group underwent Qi cross-shaped moxibustion intervention, comparing the gastrointestinal function recovery time and quality of life scores (PAC-QOL) of patients with constipation between the two groups. Results: The gastrointestinal function recovery time of the observation group was lower than that of the control group (P < 0.05); the PAC-QOL score of the observation group was lower than that of the control group after the intervention (P < 0.05). Conclusion: Qi cross-shaped moxibustion can shorten the recovery time of gastrointestinal function and improve the quality of life of elderly hip fracture patients after surgery, and it has the value of promotion and application.

Digital mobile fronthaul scheme based on diff-delta-sigma modulation and OCT precoding.

In this Letter, we experimentally demonstrate digital mobile fronthaul (MFH) for 65536 quadrature amplitude modulation (65536-QAM) signals based on a diff-delta-sigma modulation (D-DSM) scheme with orthogonal circulant matrix transform (OCT) precoding. By combining the D-DSM scheme with OCT precoding, we successfully solved the problem of uneven distribution of in-band quantization noise (IBN) while bringing about a quantization SNR gain of about 1.5 dB. In addition, we compare two signal combination schemes, Gray coding and power superposition, in the D-DSM scheme. The results show that the power superposition scheme can achieve similar performance to Gray coding with lower computational complexity. At the same time, the power superposition scheme is less affected by the saturation effect. Therefore, the D-DSM solution combined with OCT precoding and power superposition provides an effective solution for future 6 G digital mobile fronthaul.

Research on the Construction Technology of INS Digital Prototype Based on Digital Twin

In response to the continuous advancement of digitalization and intelligence in equipment as mandated by the state, a digital twin-based inertial navigation digital prototype construction scheme has been designed. This scheme supports the realization of intelligent manufacturing, testing, evaluation, and operational assurance throughout the lifecycle of inertial navigation products. This paper decomposes the physical entities of the " three-autonomy " SINS and integrates component-level inertial navigation digital prototypes based on the principles of inertial navigation. The prototypes were integrated using heterogeneous models in simulation software. Pure navigation functionality verification was conducted on the prototypes. The results show that the errors in pure simulation of the inertial navigation digital prototypes constructed in this study are consistent with the physical navigation results of inertial navigation systems, providing a reference for the development of inertial navigation digital twin systems.

The strategy of traditional Chinese settlement digitization: a landscape gene information chain theory-based perspective

Traditional Chinese settlements (TCSs) embody millennia of human and cultural history, with the core culture serving as their essence. However, any damage incurred by these TCSs can result in the loss of core culture. In the era of China’s digital transformation, there has recently been a significant push toward digital reforms within TCSs. Thus, this paper introduces a traditional settlement digitalization (TSD) framework with a specific focus on enhancing the preservation of TCS landscape gene through the perspective of landscape gene information chain theory. This research uses the Nanxun traditional settlement (TS), Huzhou, Zhejiang, China, the first TS listed as a World Cultural Heritage Site in China, as a case study, extracting and identifying the area landscape gene and digital visualization status. This article identifies the landscape gene information chain of the Nanxun TS and redesigns its digital visualization and application scheme under the TSD framework. This study reveals the notion of a digital landscape gene characterized by four key attributes: identical, interactive, immersive, and intelligent. The results of this study will help guide the sustainable protection, application and planning of the Nanxun TS and promote the study of other sections of landscape gene theory. This research not only contributes to the development of landscape gene information chain theory but also provides guidance for the digital transformation of other TCSs and cultural heritage sites.

A Rapid Modeling Method for Airborne FSS Radomes Based on Dynamic Customizable Primitives

The digital model of airborne frequency selective surface radomes (AFSSRs) is the basis of design, simulation analysis, manufacturing, and other related research on AFSSRs. This paper proposes a rapid modeling method for AFSSRs based on dynamic customizable primitives. Firstly, a layered digital model construction scheme for AFSSRs is presented based on the typical radome wall structure. Then, according to the characteristics of various surface configurations and the complex wireframe information of AFSSRs, the dynamic primitives are raised to express the boundary and contour information of all kinds of radomes. Focusing on the undevelopable characteristics of the aerodynamic shape surface of the AFSSR, the arrangement solution and mapping method for frequency-selective elements on undevelopable surfaces are proposed. Furthermore, the implementation logic of this method for the creation of each layer model and the assembly of the whole machine model is introduced. Finally, a rapid modeling system (RMS) is established based on this method, enabling the automated creation of digital models of AFSSRs. Utilizing this system resulted in modeling time savings ranging from 20% to 97.5% compared to traditional methods, which verifies the feasibility and effectiveness of this method.

A novel digital protection scheme for microgrid

A novel digital protection scheme for microgrid

Evaluation and comparison of lattice-based digital signature of the "Digital Signature Schemes" PQC NIST competition

Over the past decade, post-quantum cryptography has reached a tipping point; institutional bodies and stakeholders have initiated standardization and deployment, and various projects have achieved a reasonably high level of progress and even deployment and implementation. In July 2022, at the end of Round 3 of the NIST's PQC competition, 3 candidates were proposed for the NIST standardization for post-quantum digital signatures scheme: one signature scheme based on MLWE (Crystals-Dilithium), one signature based on NTRU (Falcon), and one signature based on hash (Sphincs+). Although the performance profiles and “black-box” security of these schemes are well understood, resistance to side-channel attacks remains a weak point for all of them. After that, the NIST announced that the PQC standardization process is continuing with a fourth round, with the following KEMs still under consideration: BIKE, Classic McEliece, HQC, and SIKE. However, there are no candidates of digital signature schemes left for consideration. As such, the NIST has issued a call for additional digital signature proposals to be considered in the PQC standardization process. Acceptance of documents ended on June 1, 2023. As a result, 40 candidates were selected for the role of DS standard, namely: 6 DS algorithms based on codes, one DS algorithm based on isogenies, 7 DS algorithms based on lattice operations, 7 candidates for the role of DS algorithm based on the MPC method -in-the-Head and 10 algorithms based on multivariate transformations, 4 DS schemes were selected based on symmetric cryptographic transformations, and 5 more candidates based on other types of cryptographic transformations. The NIST is primarily interested in additional general purpose signature schemes that are not based on structured lattices. For certain applications, such as certificate transparency, the NIST may also be interested in signature schemes that have short signatures and fast verification. The NIST is open to receiving additional materials based on structured lattices, but intends to diversify post-quantum signature standards. Therefore, any structured array-based signature proposal would need to significantly outperform CRYSTALS-Dilithium and FALCON in relevant applications and/or provide significant additional security properties to be considered for standardization. Thus, the purpose of this paper is to analyze, evaluate, and compare digital signature algorithms based on lattice cryptography, an additional PQC NIST competition, and compare them with already standardized lattice-based DS mechanisms, such as CRYSTALS-Dilithium and FALCON.

Research on the Assistance and Countermeasures of Digital Empowerment in the Environment of Carbon Emission Reduction

In the current global context, what carbon reduction challenges do other nations face, and how are they leveraging digital technologies to facilitate carbon emission mitigation? Under the circumstances where China currently ranks first in the world in terms of total carbon emissions, how can the country, in light of its unique situation, employ digitalization more effectively to aid in realizing efficient carbon reduction measures? Within this framework, starting from the critical and challenging aspects of domestic carbon emissions, this paper contemplates the ways in which contemporary digital tools can be harnessed to implement high-efficiency carbon reduction strategies tailored to the national context. In the acceleration of the development of the digital economy, the role of digital technology in reducing CO2 emissions is becoming increasingly apparent. The traditional energy interconnection network has long been integrated with the traditional energy industry, but how to apply the advantages of network technology to the energy industry, so that energy has new digital characteristics and network thinking has become the energy industry urgently. To this end, this paper mainly focuses on the project research on digital empowerment in the environment of carbon emission reduction, and will mainly consider the key aspects of domestic carbon emission accounting for a large proportion based on the current situation at home and abroad and the research and development status of digital combined carbon emission reduction. In view of these aspects, the feasibility of implementing the digital assistance scheme was discussed, such as focusing on the domestic power system and aiming at the interaction and mutual drive relationship between the power system and the economic and social system; Factory operation planning, transportation industry, with data sharing open system and new format and new model innovation as the guarantee, overall promotion of comprehensive transportation digital transformation and intelligent upgrading; The building materials industry and the discussion of digitalization help build smart parks and improve the level of park informatization. Reduce carbon emissions and create favorable conditions for the subsequent domestic "zero carbon" and "carbon neutral" goals.

FinTech developments and their heterogeneous effect on digital finance for SMEs and entrepreneurship: evidence from 47 African countries

Purpose Lack of access to finance is a major constraint to the growth of small and medium-sized enterprises (SMEs) and entrepreneurship in developing countries. The recent proliferation of mobile phone services, access to the internet and emerging technologies has led to a surge in the use of FinTech in Africa and is transforming the financial sector. This paper aims to examine whether FinTech developments heterogeneously contribute to the growth of digital finance for SMEs and entrepreneurship in 47 African countries from 2013 to 2020. Design/methodology/approach The paper uses a novel method of moments quantile regression, which deals with heterogeneity and endogeneity in diverse conditions for asymmetric and nonlinear models. Findings The empirical results reveal that the rise of FinTech companies offering services in Africa heterogeneously increases digital finance for SMEs and entrepreneurship in their different stages of growth. FinTech developments have a strong and positive impact in countries with higher levels of digital finance than those with lower levels. FinTech developments and digital finance positively and significantly influence entrepreneurship in Africa, particularly in the nascent and transitional development stages of entrepreneurship. Institutional quality has a considerable positive moderating effect when used as a control rather than an interaction variable. Practical implications The results suggest the need to promote FinTech developments in Africa: to provide a wide range of alternative digital finance schemes to SMEs and to promote entrepreneurship, especially in countries where entrepreneurship is in the nascent and transitional development stages. The results also underscore the need to promote FinTech development through supportive regulations and institutional quality to reduce risks related to FinTech and digital financing schemes. Originality/value To the best of the authors’ knowledge, this paper is one of the first attempts to account for the often overlooked heterogeneity effects and show that the influence of FinTech developments is not homogenous across the varying development stages of digital finance and entrepreneurship.

DIGITAL FRAUD: WHAT STUDENTS KNOW ABOUT IT (EXPERIENCE IN CONDUCTING A FOCUS GROUP INTERVIEW)

The article, based on statistical data and sociological research from a focus group interview conducted among students, updates the problem of cyber fraud. The dynamics of stolen funds of Russians over five years, the level of awareness of students about cyber fraud, the types and forms of fraud schemes that informants have encountered are shown. The most common forms of fraud are deception associated with the transfer of money for a purchase/service on the Internet with or without priority links, phishing sites and hacking of a page (account), with the subsequent demand for money for its return. This may be due to the fact that young people are active users of social media (social networks, instant messengers, games, marketplaces, etc.) and most often use online shopping. Next come less popular forms of cyber fraud, such as “raising” funds for SVO participants, the “anti-cafe” scheme, and telephone calls under the “relative in need” scheme. A number of signs to identify a fraudster (assertiveness, aggressiveness in response to the desire to check information, commanding tone, top secrecy during a call, etc.) have been identified. The reasons and factors (internal and external) contributing to the deception of a potential victim have been established (low awareness, lack of experience in dealing with digital fraud schemes, personal qualities (excessive gullibility, pliability, fear of public condemnation, greed), the use of external factors (SVO), social technologies engineering by attackers). In the context of simulated situations of cyber fraud, algorithms for the safe behavior of potential victims were identified, and students proposed measures to prevent digital fraud.

Frequency-domain image encryption based on IWT and 3D S-box

Most of the existing spatial domain image encryption techniques suffer from the difficulty of resisting cryptographic attacks. For this reason, this paper proposes a frequency-domain based digital image encryption scheme by combining Integer Wavelet Transform (IWT), three-dimensional S-box and chaotic system. First, the plaintext image is decomposed into different frequency subbands by IWT to map the digital image from spatial domain to frequency domain. Second, the plaintext hash value is selected as the dynamic key, and dynamic chaotic pseudo-random sequences with associations are generated, which are used for the encryption of each module respectively. Then, a three-dimensional S-box is designed to encrypt the information-rich low-frequency information using ‘bit-permutation three-dimensional S-box replace ciphertext interleaved diffusion’, while the high-frequency information is encrypted using a lightweight ‘XOR-row column permutation’ operation. Finally, the secure ciphertext for public channel transmission is obtained by the reconstruction method. The scheme of this paper, the frequency domain transformation is implemented through IWT, which enhances the ability to resist attacks. In addition, the diffusion encryption modules employ the introduction of ciphertext interleaved diffusion and parallel encryption mechanisms, thus the algorithm has the ability to resist plaintext attacks. Theoretical analysis and empirical results show that the algorithm has excellent numerical statistical analysis results, which corroborate that it has good confusion, diffusion and avalanche effects, and is able to resist various common cryptographic attacks. The frequency domain image encryption scheme proposed in this paper is a preferred high-security digital image privacy protection technique, so it has good application prospects.

Virtual and Actual Combination of Memory Reflection: Design Enabling Digital Presentation Path of Cultural Heritage Valve

As an open way for people to share information and pass on heritage's value, based on the variety of the main background and value elements, displaying heritage value has changed from a matter of protecting space and form to a more complicated matter of building social value systems. As an open way for people to share information and pass on cultural heritage's value, based on the variety of the main background and value elements, displaying heritage value has changed from a matter of protecting space and form to a more complicated matter of building social value systems. In order to explore the diversified value of heritage and the way to display design empowerment in the digital age, this study selected the world irrigation project heritage of Sangyuanwei as an example based on the theory of cultural memory and explored four value dimensions of the heritage. It is used to associate material ontological features with subjective emotional memory and to extract the memory picture of village buildings, trade fairs, and business markets. And then, through information visualization, it puts forward the value of a virtual and real symbiosis in a digital creative design scheme. Thus, images and scenes are used to strengthen the relationship between heritage materials, characters, and historical events (activities) and to empower the regional cultural inheritance of Sangyuanwei heritage through creative design. Its purpose is to strengthen the sense of group identity and contribute ideas to solve problems for the restoration and protection of Sangyuanwei heritage.