Computer Information Processing Research Articles

Second-order optical differentiator based on a composite metal–dielectric–metal structure

Optical properties of a composite structure consisting of two sequentially arranged three-layer metal-dielectric-metal structures (MDM-structures) are considered. It is shown that such a composite MDM-structure can perform second-order spatiotemporal differentiation with high quality at normal incidence. The obtained results can find application in creating systems for analog optical computing and optical information processing.

Matrix representation of operations on graphs

This article considers the possibility of matrix execution of both unary and binary operations on graphs. Graphs, as an abstract mathematical construction, have a very wide range of practical applications. First of all, it is algorithmization and computer processing of information, electrical engineering, etc. Therefore, it is important to have a mathematical apparatus that allows you to transform the graphical presentation of information about objects into algebraic models for their further research using purely mathematical methods. If necessary, it is always possible to return from such an algebraic model to a graphical representation of the object (for example, to a graphical representation of a circuit diagram in electronics). For each of the considered operations on graphs, either a combination of algebraic operations or an easily programmable matrix processing algorithm is proposed, which can be used to represent any graph. Attention is also paid to the differences in such processing depending on the type of graphs involved in the considered operations. Some operations are more convenient to perform with adjacency matrices, and some - with incidence matrices. This article also considers these features of matrix execution of operations on graphs. All the proposed algorithms are illustrated with specific detailed examples. Thus, it is shown that for all operations on graphically presented objects, their matrix interpretation is possible. This result greatly facilitates the possibility of software implementation of work with such graphic objects.

Spatiotemporal optical differentiation and vortex generation with metal-dielectric-metal multilayers

We consider a spatiotemporal differentiator of the first order based on a three-layer metal-dielectric-metal (MDM) structure. We show theoretically and numerically that, in contrast to all-dielectric layered structures, the differentiator based on this MDM structure enables generating an optical pulse possessing an optical vortex in the spatiotemporal domain. High-quality edge detection of the incident spatiotemporal optical signal using the MDM differentiator is also demonstrated. Moreover, we investigate a ``double'' MDM structure consisting of two single (three-layer) MDM structures which implements the operation of spatiotemporal differentiation of the second order. By considering the generation of an optical pulse with several phase singularities and studying the edge-detection operation, we demonstrate that the operation of second-order spatiotemporal differentiation is implemented with high accuracy. The obtained results may find application in the creation of analog optical computing and optical information processing systems.

Optical properties of cascaded metal-dielectric-metal structures and their application to the differentiation of optical signals

We consider optical properties of cascaded structures consisting of several sequentially placed three-layer metal-dielectric-metal (MDM) structures separated by homogeneous dielectric layers. Using the scattering matrix formalism, we demonstrate that by successively “combining” MDM structures possessing reflection zeros, one can obtain a zero of a required order in the reflection spectrum of the cascaded structure. The presence of a reflection zero of a required order with respect to the angular or spatial frequency enables utilizing cascaded MDM structures as optical differentiators implementing the computation of the derivative of a required order with respect to time or a spatial variable. The presented numerical simulation results confirm the correctness of the derived theoretical description of cascaded MDM structures and the possibility of their use as high-order optical differentiators. The obtained results may find application in analog optical computing and optical information processing systems.

Memory‐augmented neural networks based dynamic complex image segmentation in digital twins for self‐driving vehicle

With the continuous increase of the amount of information, people urgently need to identify the information in the image in more detail in order to obtain richer information from the image. This work explores the dynamic complex image segmentation of self-driving vehicle under Digital Twins (DTs) based on Memory-augmented Neural Networks (MANNs), so as to further improve the performance of self-driving in intelligent transportation. In view of the complexity of the environment and the dynamic changes of the scene in intelligent transportation, this work constructs a segmentation model for dynamic complex image of self-driving vehicle under DTs based on MANNs by optimizing the Deep Learning algorithm and further combining with the DTs technology, so as to recognize the information in the environment image during the self-driving. Finally, the performance of the constructed model is analyzed by experimenting with different image datasets (PASCALVOC 2012, NYUDv2, PASCAL CONTEXT, and real self-driving complex traffic image data). The results show that compared with other classical algorithms, the established MANN-based model has an accuracy of about 85.80%, the training time is shortened to 107.00 s, the test time is 0.70 s, and the speedup ratio is high. In addition, the average algorithm parameter of the given energy function α=0.06 reaches the maximum value. Therefore, it is found that the proposed model shows high accuracy and short training time, which can provide experimental reference for future image visual computing and intelligent information processing.

The influence of accounting computer information processing technology on enterprise internal control under panel data simultaneous equation

Abstract In order to explore the effect of accounting computer information processing technology on enterprise internal control, this paper puts forward the method of simultaneous equation of panel data. This paper constructs an accounting computer index to measure the accounting computer level of manufacturing enterprises in Shanghai stock market, and studies the relationship between enterprise accounting computer and internal control by using panel data simultaneous equations model. The empirical results show that: first, although the average accounting computer level of manufacturing industry increases year by year, the overall level is low, and there are great differences among sub industries, even within the same industry; Second, the level of accounting computer has a negative impact on the internal control of enterprises, and the internal control of enterprises has a positive impact on the level of accounting computer; Third, enterprise scale and operating years have a significant positive impact on the level of accounting computer. The experimental results show that: from the estimation results of accounting computer equation, firstly, ROA has a significant positive impact on the level of accounting computer; Secondly, the scale and operating age of enterprises positively affect the level of accounting computer, while the nature of ownership and listing age are not related to the level of accounting computer; Finally, document disclosure has a high level of accounting computer, which is consistent with the conclusion of the above descriptive statistics of EMI, which may be related to the mandatory provisions of national laws and regulations on the industry of document disclosure.

少数民族语言分词技术评测数据集MLWS2021

According to the morphological rules and characteristics of Mongolian, Tibetan and Uyghur vocabulary, we formulated the evaluation standards for Mongolian, Tibetan and Uyghur word segmentation suitable for computer information processing, established the word segmentation and tagging corpus of Mongolian, Tibetan and Uyghur, and formed a standard evaluation corpus (MLWS2021), so as to solve the problems of automatic word segmentation, part of speech tagging, information retrieval. MLWS2021 contains 25,000 Tibetan sentences, 65,000 Mongolian sentences and 65,000 Uighur sentences. The evaluation dataset will provide free evaluation services available to the public, gradually build an authoritative minority language evaluation platform, and promote the development of minority language information processing technology.

Natural 2D layered mineral cannizzarite with anisotropic optical responses

Cannizzarite is a naturally occurring mineral formed by van der Waals (vdW) stacking of alternating layers of PbS-like and Bi2S3-like two-dimensional (2D) materials. Although the PbS-type and Bi2S3-type 2D material layers are structurally isotropic individually, the forced commensuration between these two types of layers while forming the heterostructure of cannizzarite induces strong structural anisotropy. Here we demonstrate the mechanical exfoliation of natural cannizzarite mineral to obtain thin vdW heterostructures of PbS-type and Bi2S3-type atomic layers. The structural anisotropy induced anisotropic optical properties of thin cannizzarite flakes are explored through angle-resolved polarized Raman scattering, linear dichroism, and polarization-dependent anisotropic third-harmonic generation. Our study establishes cannizzarite as a new natural vdW heterostructure-based 2D material with highly anisotropic optical properties for realizing polarization-sensitive linear and nonlinear photonic devices for future on-chip optical computing and optical information processing.

장애인 당사자와 재활전문가의 직업능력향상교육 프로그램 요구도 비교

This study aimed to develop a vocational competency improvement education program to support employment and vocational adjustment of people with disabilities. For this purpose, an online survey was conducted for people with disabilities and rehabilitation field experts, and 173 field experts and 116 copies from people with disabilities were collected and used for final analysis. The results of the analysis are as follows. First, the need for vocational competency improvement education differed by type of disability. In the case of moderate and overlapping disability, the need for basic vocational education and professional vocational education was high, and for other types, the need for professional vocational education and certification education was high. appear. Second, in the educational demand for the middle area of vocational competency improvement education, social skills education as basic vocational education and computer utilization technology and information processing technology as professional vocational education were found to be high. Third, not only the development of the vocational competency improvement education program but also the operating system were considered as importance.
 The significance of this study is that it was intended to create a comprehensive opinion from both aspects of the disabled persons and rehabilitation field experts. And this study tried to materialize the needs and demands of the vocational competency improvement education program necessary for employment support among the six areas of lifelong education for the disabled for the disabled who require continuing education after school age, according to the type of disability.

Application of Artificial Intelligence Elements and Multimedia Technology in the Optimization and Innovation of Teaching Mode of Animation Sound Production

Nowadays, with the rapid development of multimedia technology and computer information processing, the data of multimedia information presents explosive growth. At present, the method of using artificial recognition of sound materials is inefficient, and an automatic recognition and classification system of sound materials is needed. To improve the accuracy of sound recognition, two algorithm models are established to identify and compare the sound materials, which are the hidden Markov model (HMM) and back propagation neural network (BPNN) model. Firstly, HMM is established, and the sound material is randomly selected as the test sample. The comparison between the expected classification and the actual is tested, and the recognition rate of each classification is got. The final average recognition rate is 61%. The anti-interference characteristics of the training HMM are tested, and the identification rate of the training model is selected in 6 types of signal-to-noise ratio (SNR) environments. The recognition rate of the training model has an obvious downward trend with the decrease of the SNR. Secondly, the BPNN model is built, and 200 BPNN training experiments are conducted. The training model with the highest average recognition rate is selected as the experimental model. The average recognition rate of the final model is higher than 90%. The expression ability and stability of the trained model are simulated after the new sample is introduced, and the anti-interference performance of the model is tested in different environments of SNR. The results of performance test are good, and only the recognition rate of complex types of some sound sources decreased. Finally, the accuracy of the HMM in the experiment is not as high as that obtained by BPNN. Therefore, the training method of BPNN has a greater advantage in both recognition accuracy and recognition efficiency for the studied sound. It provides a reference for automatic recognition of sound materials.

Anti-PT-symmetric qubit: Decoherence and entanglement entropy

We investigate the dynamics of a general two-level based anti-parity-time (anti-$\mathcal{PT}$)-symmetric qubit and study its decoherence as well as entanglement entropy properties. We compare our findings with that of the corresponding parity-time ($\mathcal{PT}$)-symmetric and Hermitian qubits. To begin, we consider the time-dependent Dyson map to find the exact analytical dynamics for a general non-Hermitian qubit system weakly coupled with a thermal bath for pure dephasing, before specializing it to the case of a general anti-$\mathcal{PT}$-symmetric qubit. Basing the comparison under the same coupling strength or increasing the non-Hermiticity, we observe that the decoherence function and entanglement entropy of the anti-$\mathcal{PT}$-symmetric qubit decays and grows more slowly, respectively, compared to the $\mathcal{PT}$-symmetric and Hermitian qubits. Similarly, the corresponding variance and area of Fisher information are much higher compared to the $\mathcal{PT}$-symmetric and Hermitian qubits. These results demonstrate that anti-$\mathcal{PT}$-symmetric qubits may be better suited for quantum computing and quantum information processing applications than conventional Hermitian or even $\mathcal{PT}$-symmetric qubits.

Dark‐State Induced Quantum Nonreciprocity

AbstractWith the development of quantum technologies and their broad applications, the phenomenon of reciprocity breaking has been evolving from an effective tool in classical wave optics and electrodynamics to a promising instrument also for the field of quantum computing and quantum information processing. In this work, nonreciprocal wave phenomena that arise in atom‐like quantum systems are studied. Different approaches to isolation and nonreciprocity in quantum systems are reviewed, with a focus on a specific class of passive devices where nonreciprocity is induced by the system nonlinearity, without the need of an external bias. It is then discussed how to model these effects and what their underlying physics is, outlining how the existence of a slowly‐decaying subradiant state is critical to obtain large nonreciprocal responses. The susceptibility of these devices to changes in the environment is analyzed, together with the opportunities that come from including temporal modulations.

Проблеми інформаційної гігієни в ІТ-сфері

In social production there is a constant expansion of the range of professions related to information processing. In addition to the emergence of new professions, computer information processing is also being introduced into a number of traditional professions. Therefore, requests to ensure healthy working conditions in such workplaces have led to the emergence of such an area of life safety and health and safety as information hygiene. An urgent task is to study the rules and regulations when working with information in the field of information technology. Problems that arise when working with information include increased intensity of information flows, simultaneous inclusion of multiple information flows, heterogeneity of incoming tasks, or excessive monotony of information flow, ambiguous information, ignorance of the operator regarding information, short deadlines. In addition, the state of the user of information is significantly affected by the emotional color of information, increased density of destructive facts, calls for hostility and violence, negative predictions, covert manipulation and more. The mental burden on the employee who processes information and makes decisions based on it depends on the spread of responsibility and the degree of responsibility, the magnitude of possible losses in making mistakes or making decisions, especially when it comes to significant financial obligations, and even more risk to the state. for human health and life. Due to the expansion of the range of professions related to the interaction of workers with information flows, the introduction of information hygiene as a unit of labor protection is an urgent task. Due to the specifics of working with information as a means and product of labor, it is necessary to study the working conditions of workers in typical IT jobs and the impact of information flows on the well-being and health of people performing different types of work. It is necessary to develop a set of rules and recommendations of information hygiene in the interaction of employees with information. An important task is to determine the types of work associated with intensive information flows and to conduct experimental research to determine the maximum allowable workload of workers in the performance of these works.

МОДЕЛЮВАННЯ ДЕТЕКТОРА З ВИКОРИСТАННЯМ ТВЕРДОГО РОЗЧИНУ CA-ZN-TE ДЛЯ СИСТЕМ РАДІАЦІЙНОГО КОНТРОЛЮ

The article created a model of the primary converter - a gamma radiation sensor. It is based on the following properties of a semiconductor crystal: maximum quantum efficiency; maximum mobility of charge carriers; minimum density of structural defects; maximum values of resistivity and density. The combination of these properties provides a significant sensitivity of sensor with the minimum size of crystal. The inconsistency of such a combination must be eliminated both in the process of manufacturing a crystal (for example, a high-resistance crystal can be obtained by the simultaneous use of cleaning, components, and compensating doping) and subsequent processing by the methods proposed in this work (thermal field method, ionization annealing). Among the known materials for gamma radiation sensors, single crystals of Cdx-Zn1-xTe solid solutions have the optimal combination of the above properties and possibilities of their preparation. The advent of modern semiconductor sensors for the first time linked nuclear instrumentation and electronics into a single complex - a semiconductor detector. It combines a semiconductor primary converter of ionizing radiation (sensor), a secondary converter of information from the sensor (electronics) and software for processing this information, interconnected in terms of problem being solved and parameters. However, the development of nuclear energy and the spread of nuclear technologies have put forward new requirements for the control and metrology of ionizing radiation. The current level of nuclear instrumentation cannot fully satisfy them. The solution to this problem can be provided by the development of: methods for choosing the optimal type of semiconductor materials and controlling their properties to create uncooled detectors; sensors with higher resolution; electronics with lower noise level; computer methods and information processing programs with lower estimated costs; control systems for nuclear materials and the state of AES protective barriers that meet the requirements of the existing automatic control of radiation safety (ARS). This article is devoted to the solution of such problems, which ensures the relevance of its topic. The main principle of solving the named scientific problem was results of nuclear-physical studies of the interaction of ionizing radiation with semiconductors, the development and experimental verification of physical-mathematical models of technological processes dosimetry and control of nuclear materials.

Generation of four-mode cluster states based on cascade four-wave mixing process

As a crucial quantum resource for quantum computing and quantum information processing, cluster state has attracted extensive attention due to its unique entanglement properties and rich structures. In this work, we theoretically propose a scheme for generating four-mode entangled states based on cascaded four-wave mixing (FWM) process. The internal entanglement characteristics are studied by using the positivity under partial transposition criterion and eigenmode decomposition. In addition, the output entangled states are reconstructed and optimized by adjusting the relative phase of balanced homodyne detection and postprocessing the signal noise, and finally three four-mode cluster states with different structures are generated. Such a method can effectively reduce the excess noise induced by finite squeezing. Our theoretical results provide a reliable way of generating scalable continuous variable cluster states based on FWM process in atomic ensemble.

Retracted] Ecosystem of Digital Media Art under Scientific Computing Visualization Based on Finite Element Analysis

Digital media refers to the form of media that appears based on computer information processing technology and has an impact on society. Scientific computing visualization is the study of how to convert digital information generated in scientific computing into intuitive, image, and graphic information. It also studies how to visualize the physical phenomena or physical quantities that change with time and space in front of researchers to gain understanding and insight into the data. This paper aims to study an ecosystem of digital media art. For this system, a scientific computing visualization algorithm based on finite element analysis is proposed in this paper. It uses the algorithm to test the designed digital media ecosystem. The test results are evaluated from three aspects: image quality, system energy consumption, and processing speed. The test results show that the signal‐to‐noise ratio of the image displayed by the system designed in this paper is always above 50 db, and the maximum can reach more than 60 db. Its power consumption increases by less than 0.02 W for every additional 1 MB of data on average, and the average processing speed is about 3 times per second. This shows that the system has good image quality, low energy consumption, and up to standard processing capacity.

CRITERIA OF SAFETY CONDITION ASSESSMENT

The article is the second in a series of articles, united by a single theme of improving the organization of the country’s security management system. The article is completely based on the previous article “Formalization of safety assessment and management” and is a continuation of it. Accordingly, the article uses a unified approach to improving the organization of the management system, the same terminology and notation. It has been determined that the safety assessment significantly depends on the operating conditions of the control object. The approach to formation of structure of criteria of an estimation of a condition of safety on the analysis of full group of conditions of functioning of object of protection and the account of threshold values of complex criteria of an estimation – positive and negative potentials is offered. The possible structure of formation of a complex criterion of safety assessment is considered. The effectiveness of the proposed safety assessment system is based on the formalization of the signs of threats and risks through the analysis of potentials relevant to the object of management. Representation of the object of control in the form of a formal model and the use of a safety chart allows to analyze the safety status on formal grounds and analyze using the proposed comprehensive criterion. The formalization of the safety assessment procedure and the quantitative interpretation of the potentials allow the maximum use of computer information processing in order to timely objectively identify threats, conditions and risk areas.

High dimensional quantum network coding based on prediction mechanism over the butterfly network

The high-dimensional quantum system greatly improve the quantum channel capacity and information storage space, and achieve high-dimensional quantum information transmission, which enhance the speed of quantum computing and quantum information processing. In this paper, a high-dimensional quantum teleportation protocol without information loss is proposed. We consider pre-sharing a high-dimensional non-maximum entangled state as a quantum channel between sender and receiver. By adding auxiliary particle and performing high-dimensional local operations, it is possible to achieve high-dimensional quantum teleportation without information loss. Simultaneously, we apply the protocol to butterfly network, and propose a novel high-dimensional quantum network coding based on prediction mechanism. In our scheme, we use Z-{|0⟩, |1⟩} basis to predict the transmission of high dimensional states over the butterfly network. When the prediction is successful, the deterministic transmission of high-dimensional quantum states can be realized over the butterfly network. Our scheme greatly saves the usage of quantum and classical channels, which improves the utilization efficiency of both channels.

Research on Computer Information Processing Technology Based on the Background of Big Data Era

The development of economy and society has created a good external environment for the renewal and development of information technology. Under the background of big data era, the application of computer information processing technology is increasingly closely related to people’s daily life and work. However, in the application process of related technologies, due to the influence of human unreasonable operation and other factors, some information security risks will also be generated. Strengthening the prevention of related security risks is related to the application of related technologies. Therefore, it is necessary to analyze the characteristics of computer processing technology. Based on the background of big data era, this paper takes computer information processing technology as the starting point.

Research on the Construction of Resource Database of the Yi Dialects for Information Processing in China

At present, the research on the basic language project of the Yi language is still in the primary stage, so it is not easy to describe and show the real features of the Yi dialects. How to establish a corpus of Yi dialects with the help of computer information, corpus, artificial intelligence, and other modern information processing technologies, indeed record the appearance and situation of Yi dialects, and protect Yi language cultural heritage with social and historical value has become a critical problem to be solved in Yi language and related research fields. This paper takes the six major Yi dialects as the main line of research, combined with the characteristics and application scope and population size of different Yi dialects, to determine the language survey analysis and data collection points of each dialect, subdialect, and local language point. On this basis, carry out the research and construction of the Yi dialects resource database from multiple levels and dimensions such as words, sentences, dialogues, and texts, and create a high-quality information sharing platform of Yi dialects corpus. Moreover, combined with the author's practical experience in the research and development of Yi language information processing technology, this paper analyzes and considers some related problems in the construction and application of Yi dialects corpus.