Rapid Development Of Hardware Research Articles

The Development of Technology of the Continuous Control of Financial and Accounting Information

The rapid development of hardware and software technologies has made real-time electronic reporting possible and accessible. However, continuous reporting (both daily and monthly) requires continuous monitoring of such reporting and assurance of the overall information of its users. Thus, the audit should also be continuous. Ideally, all suspicions and transactions should be tracked by the software that records them, that is, the enterprise computer information systems. While this approach is theoretically possible, in practice it is risky. The reason is that software procedures in complex computer systems tend to affect hundreds of other procedures, and there is a great risk of changing any component to stop the major processing systems. An alternative to the built-in control modules is a compromise approach, in which transactions are periodically (eg, nightly) uploaded and transferred to a separate data warehouse and subsequently analyzed by using specialized audit software. Factually, there is a way in which both internal and external auditors will be able to provide near-continuous (at minimum time intervals) assurance about the information generated under the information systems applications, regardless of effectiveness of manual and computer control technologies that are implemented by managers. We propose to call the implementation of economic control at enterprises in this way ‘periodic audit’. The concept of the continuous audit is particularly useful in the context of Ukraine, where there is a generally low level of practice and culture regarding the process of enterprise management as a whole, not only the internal control procedures and technologies. JEL classification: M420 Manuscript received 29.04.2020

A Hybrid Diffractive Optical Element Design Algorithm Combining Particle Swarm Optimization and a Simulated Annealing Algorithm

With the rapid development of computer hardware and the emergence of the parallel calculation of diffraction fields, a breakthrough has been made in terms of the limitation of the unacceptable amount of computational cost to design diffractive optical elements (DOEs), and more accurate global search algorithms can be introduced to the design of complex DOEs and holographic projections instead of traditional iterative algorithms. In this paper, a hybrid algorithm which combines particle swarm optimization (PSO) with a simulated annealing (SA) algorithm is proposed for the designing of DOEs and projecting holographic images with less noise. PSO is used to reduce the invalid disturbance in SA, and SA can jump out from local extreme points to find the global extreme points. Compared with the traditional Gerchberg–Saxton (GS) algorithm, the simulation and experimental results demonstrate that the proposed SA–PSO hybrid algorithm can improve uniformity by more than 10%.

AtomicNet: a novel approach to identify the crystal structure of each simulated atom

The study of crystal structure in the process of plastic deformation is essential to analyse the properties of materials and help to understand the deformation mechanism. With the rapid development of computer hardware and algorithms, great efforts have been paid for atomic simulation with computer science. However, most existing methods can only identify known structures in advance and consider unknown structure as unrecognized ones. In this work, we propose a method to identify crystal structure among atomistic simulations of crystalline materials. First, we develop a new characterization to describe each atom’s local space information, i.e. local spatial characteristics and utilize mutual information to simplify the characteristics. Then, the multi-layer perceptron neural network is used for the classification on the simplified characteristics. With the proposed method, we can not only identify the crystal structures of the surface of atoms, but also obtain the value of probability of each crystal structure. Our work provides significant insights for finding new mechanisms in structure transformation in material science field.

Preliminary Discussion on the Refinement Mesh Generation for Adaptive Analysis

In recent years, due to the rapid development of computer hardware and the urgent need of complex engineering problems, great support has been provided in the related fields of unstructured mesh generation. A large number of research results show that the adaptive analysis is an effective way to improve the efficiency and precision of the numerical calculation. The reliable error estimation and the powerful mesh generation are two key problems in the process of adaptive numerical analysis. H-type refinement strategy adding the new nodes in the high error area, gradually refines the mesh to reduce the size of the element to achieve the purpose of mesh adaptation; this strategy is simple, intuitive and easy to program. Although the calculation accuracy of unstructured triangle and tetrahedron elements is not high, these elements are suitable for discretization of any complex problem domain, and have a wider range of application in academic and engineering fields.

Intelligent urban ecological suitability system based on pattern recognition

Today, with the rapid development of urbanization, the ecological and environmental problems of the city have become increasingly serious and have become the focus of the world. The most important issue facing the majority of ecological workers is how to apply the theory of ecology to solve today’s problems. The various environmental problems faced in urban life and the sustainable development of the city’s ecological civilization. How ecological planning is used to coordinate the relationship between people and the natural environment and natural resources is increasingly gaining attention and expanding the range and scope of its applications. However, as an ecological suitability analysis based on ecological planning, many analytical methods and systems are still being explored and developed due to the geographical complexity and factor diversity involved. In recent years, with the rapid development of computer hardware and software technology, pattern recognition has received more and more attention, pattern recognition and image processing technology has become more and more perfect, and has been successfully applied in more and more fields. This thesis begins to focus on the urban ecological suitability content based on pattern recognition technology and image processing. The main contents of this thesis include: introducing the background of urban ecological suitability and the status quo of ecological suitability analysis and existing research methods. According to the structure of the urban ecosystem and the national standards for the construction of ecological systems and ecological cities, an indicator system for ecological suitability evaluation is established. A pattern recognition system and common pattern recognition and image processing methods are introduced. Based on some common evaluation methods and models, the pattern recognition technology theory and image processing technology are introduced into the urban ecological suitability analysis. Based on the image system theory and vector projection principle, the ecological suitability analysis is established. Associated projection model. The model considers the evaluation sample and the quality standards at each level as vectors, and respectively projects the same vector ideal. Based on establishing the ecological suitability evaluation index system and standards, the ecological suitability was evaluated by using the model.

A three dimensional high-resolution reservoir model of Napo Formation in Oriente Basin, Ecuador, integrating sediment dynamic simulation and geostatistics

Abstract With the rapid development of computer hardware and software technology, 3D modeling technology of reservoirs has been widely applied in the exploration of oilfields. However, when modeling the reservoir with few wells, due to the absence of efficient constraints in interwell areas, the accuracy of the resulting 3D model is usually lacking. In this paper, we study the issue of model accuracy under the conditions of oil reservoir with few wells and propose a new 3D geological modeling method that is constrained by the multiple parameters based on sedimentary dynamics. We carry out a series of sediment dynamic simulation, by considering a number of key processes and parameters affecting the deposition of M1 member of Napo Formation in T-Oilfield, Oriente Basin, from 79.8 Ma to 76 Ma, to constrain the lithofacies and properties models. The proposed modeling method comprises two steps. First, the lithology distribution is obtained from a petrologic 3D model through the forward modeling of sedimentary processes. Second, geostatistical method is applied to build the reservoir geological model with the constraints of sedimentary dynamics, and logging information from work areas, the distribution of sedimentary characteristics by using a coordination Kriging modeling method. As a result, a high-degree fit is obtained between the actual characteristics of the strata and the reservoir model, with relative error of 4.6%, indicating future application of this method for geological modeling of reservoirs with few wells.

Hybrid organosilicon/polyol phantom for photoacoustic imaging.

The rapid development of hardware and software for photoacoustic technologies is urging the establishment of dedicated tools for standardization and performance assessment. In particular, the fabrication of anatomical phantoms for photoacoustic imaging remains an open question, as current solutions have not yet gained unanimous support. Here, we propose that a hybrid material made of a water-in-oil emulsion of glycerol and polydimethylsiloxane may represent a versatile platform to host a broad taxonomy of hydrophobic and hydrophilic dyes and recapitulate the optical and acoustic features of bio tissue. For a full optical parameterization, we refer to Wróbel, et al. [ Biomed. Opt. Express7, 2088 (2016)], where this material was first presented for optical imaging. Instead, here, we complete the picture and find that its speed of sound and acoustic attenuation resemble those of pure polydimethylsiloxane, i.e. respectively 1150 ± 30 m/s and 3.5 ± 0.4 dB/(MHz·cm). We demonstrate its use under a commercial B-mode scanner and a home-made A-mode stage for photoacoustic analysis to retrieve the ground-truth encoded in a multilayer architecture containing indocyanine green, plasmonic particles and red blood cells. Finally, we verify the stability of its acoustic, optical and geometric features over a time span of three months.

Analysis of server-side and client-side Web-GIS data processing methods on the example of JTS and JSTS using open data from OSM and geoportal

The last decade has seen a rapid evolution of processing, analysis and visualization of freely available geographic data using Open Source Web-GIS. In the beginning, Web-based Geographic Information Systems employed a thick-client approach which required installation of platform-specific browser plugins. Later on, research focus shifted to platform-independent thin client solutions in which data processing and analysis was performed by the server machine. More recently, however, the rapid development of computer hardware as well as software technologies such has HTML5 has enabled the creation of platform-independent thick clients which offer advanced GIS functionalities such as geoprocessing. This article aims to analyse the current state of Open Source technologies and publicly available geographic data sources in the context of creating cost-effective Web-GIS applications for integration and processing of spatial data. For this purpose the article discusses the availability and potential of Web-GIS architectures, software libraries and data sources. The analysis of freely available data sources includes a discussion of the quality and accuracy of crowd-sourced as well as public sector data, while the investigation of software libraries and architectures involves a comparison of server-side and client-side data processing performance under a set of real-world scenarios. The article concludes with a discussion of the choice of cost-effective Web-GIS architectures, software libraries and data sources in the context of the institution and environment of system deployment.

Innovative Application of Python in Data Crawling —Chinese Version of Movie Recommendation Platform

The rapid development of computer hardware and Internet makes the information transmission speed and storage capacity of the network explode. The development of basic technology has led to the advance of many multimedia and rich text technologies that serve the public. In order to solve the problem that users and companies need to process and retrieve massive amounts of information, web crawler technology extracts the specified information from web pages and then analyzes it, providing a directional function of crawling information from large amounts of information. This article explains the web crawler that uses Python language to extract specific movie information from the website in detail and analyzes the detailed process of web crawler written in Python language.

Environmental Mercury Chemistry - In Silico.

Mercury (Hg) is a global environmental contaminant. Major anthropogenic sources of Hg emission include gold mining and the burning of fossil fuels. Once deposited in aquatic environments, Hg can undergo redox reactions, form complexes with ligands, and adsorb onto particles. It can also be methylated by microorganisms. Mercury, especially its methylated form methylmercury, can be taken up by organisms, where it bioaccumulates and biomagnifies in the food chain, leading to detrimental effects on ecosystem and human health. In support of the recently enforced Minamata Convention on Mercury, a legally binding international convention aimed at reducing the anthropogenic emission of-and human exposure to-Hg, its global biogeochemical cycle must be understood. Thus, a detailed understanding of the molecular-level interactions of Hg is crucial. The ongoing rapid development of hardware and methods has brought computational chemistry to a point that it can usefully inform environmental science. This is particularly true for Hg, which is difficult to handle experimentally due to its ultratrace concentrations in the environment and its toxicity. The current account provides a synopsis of the application of computational chemistry to filling several major knowledge gaps in environmental Hg chemistry that have not been adequately addressed experimentally. Environmental Hg chemistry requires defining the factors that determine the relative affinities of different ligands for Hg species, as they are critical for understanding its speciation, transformation and bioaccumulation in the environment. Formation constants and the nature of bonding have been determined computationally for environmentally relevant Hg(II) complexes such as chlorides, hydroxides, sulfides and selenides, in various physical phases. Quantum chemistry has been used to determine the driving forces behind the speciation of Hg with hydrochalcogenide and halide ligands. Of particular importance is the detailed characterization of solvation effects. Indeed, the aqueous phase reverses trends in affinities found computationally in the gas phase. Computation has also been used to investigate complexes of methylmercury with (seleno)amino acids, providing a molecular-level understanding of the toxicological antagonism between Hg and selenium (Se). Furthermore, evidence is emerging that ice surfaces play an important role in Hg transport and transformation in polar and alpine regions. Therefore, the diffusion of Hg and its ions through an idealized ice surface has been characterized. Microorganisms are major players in environmental mercury cycling. Some methylate inorganic Hg species, whereas others demethylate methylmercury. Quantum chemistry has been used to investigate catalytic mechanisms of enzymatic Hg methylation and demethylation. The complex interplay between the myriad chemical reactions and transport properties both in and outside microbial cells determines net biogeochemical cycling. Prospects for scaling up molecular work to obtain a mechanistic understanding of Hg cycling with comprehensive multiscale biogeochemical modeling are also discussed.

Technologies of visualisation in the modern school (an example of natural sciences and mathematics)

The article discusses the methodological aspects of the modernization to the subjects of nature-mathematical cycle of pre-service teachers to the use of visualization technologies. The specificity of the implementation of classical didactic principles (visibility, science, systemacy and consistency, the connection of theory with practice, mindfulness and strength of learning) in the professional training of specialists in terms of the use of visualization technologies is considered. The specific didactic principles of preparing the future teacher for the use of visualization technologies are highlighted. The principle of innovation, which provides for training students to use the newest capabilities of visualization technologies in their future professional activities; the principle of aesthetics, which consists in teaching students to create didactic visual aids with a pedagogically effective use of color and typographic solutions, the laws of composition in accordance with the psycho-physiological characteristics of the child for the effective assimilation of educational material and its most attractive perception; The principle of orientation to cloud services, due to the rapid development of hardware and software, which is based on teaching students to create digital didactic visual materials using modern online tools.

Challenges and advances in atomistic simulations of potassium and sodium ion channel gating and permeation.

Ion channels are implicated in many essential physiological events such as electrical signal propagation and cellular communication. The advent of K+ and Na+ ion channel structure determination has facilitated numerous investigations of molecular determinants of their behaviour. At the same time, rapid development of computer hardware and molecular simulation methodologies has made computational studies of large biological molecules in all-atom representation tractable. The concurrent evolution of experimental structural biology with biomolecular computer modelling has yielded mechanistic details of fundamental processes unavailable through experiments alone, such as ion conduction and ion channel gating. This review is a short survey of the atomistic computational investigations of K+ and Na+ ion channels, focusing on KcsA and several voltage-gated channels from the KV and NaV families, which have garnered many successes and engendered several long-standing controversies regarding the nature of their structure-function relationship. We review the latest advancements and challenges facing the field of molecular modelling and simulation regarding the structural and energetic determinants of ion channel function and their agreement with experimental observations.

Application Status of BIM Collaborative Design in Architecture Major

After the concept of BIM (Building Information Modeling) was proposed around 2000, it developed slowly. With the rapid development of hardware, the IFC standard provides reference standards for BIM collaborative design, enabling BIM collaborative design to effectively solve the shortcomings of traditional 2D drawing design and become a new market trend.

Application of soft computing techniques to multiphase flow measurement: A review

After extensive research and development over the past three decades, a range of techniques have been proposed and developed for online continuous measurement of multiphase flow. In recent years, with the rapid development of computer hardware and machine learning, soft computing techniques have been applied in many engineering disciplines, including indirect measurement of multiphase flow. This paper presents a comprehensive review of the soft computing techniques for multiphase flow metering with a particular focus on the measurement of individual phase flowrates and phase fractions. The paper describes the sensors used and the working principle, modelling and example applications of various soft computing techniques in addition to their merits and limitations. Trends and future developments of soft computing techniques in the field of multiphase flow measurement are also discussed.

Recent progress of fluorescence lifetime imaging microscopy technology and its application

In the past decade, fluorescence lifetime imaging microscopy (FLIM) has been widely used in biomedical research and other fields. As the fluorescence lifetime is unaffected by probe concentration, excitation intensity and photobleaching, the FLIM has the advantages of high specificity, high sensitivity and capability of quantitative measurement in monitoring microenvironment changes and reflecting the intermolecular interactions. Despite decades of technical development, the FLIM technology still faces some challenges in practical applications. For example, its resolution is still difficult to overcome the diffraction limit and the trade-off among imaging speed, image quality and lifetime accuracy needs to be considered. In recent years, a great advance in FLIM and its application has been made due to the rapid development of hardware and software and their integration with other optical technologies. In this review, we first introduce the principle and characteristics of FLIM technology based on time domain and frequency domain. We then summarize the latest progress of FLIM technology:1) imaging speed enhancement based on hardware improvement such as optimized time-correlated single photon counting module, single photon avalanche diode array detector, and acousto-optic deflector scanner; 2) lifetime measurement accuracy improvement by the proposed algorithms such as maximum likelihood estimate, Bayesian analysis and compressed sensing; 3) imaging quality enhancement and spatial resolution improvement by integrating FLIM with other optical technologies such as adaptive optics for correcting the aberration generated in the optical path, special illumination for equipping wide-field FLIM with optical sectioning ability, and super-resolution techniques for exceeding the resolution limit. We then highlight some recent applications in biomedical studies such as signal transduction or plant cell growth, disease diagnosis and treatment in cancers, Alzheimer's disease and skin diseases, assessment for toxicity and treatment efficiency of nanomaterials developed in the past few years. Finally, we present a short discussion on the current challenges and provide an outlook of the future development of enhanced imaging performance for FLIM technology. We hope that our summary on the state-of-the-art FLIM, our commentary on future challenges, and some proposed avenues for further advances will contribute to the development of FLIM technology and its applications in relevant fields.

Efficient color correction method for smartphone camera-based health monitoring application.

Smartphone health monitoring applications are recently highlighted due to the rapid development of hardware and software performance of smartphones. However, color characteristics of images captured by different smartphone models are dissimilar each other and this difference may give non-identical health monitoring results when the smartphone health monitoring applications monitor physiological information using their embedded smartphone cameras. In this paper, we investigate the differences in color properties of the captured images from different smartphone models and apply a color correction method to adjust dissimilar color values obtained from different smartphone cameras. Experimental results show that the color corrected images using the correction method provide much smaller color intensity errors compared to the images without correction. These results can be applied to enhance the consistency of smartphone camera-based health monitoring applications by reducing color intensity errors among the images obtained from different smartphones.

Theoretical Aspects of the Use of Electronic Educational Resources in Professional Activity of Future Teachers of Technology

In this paper, we tried to determine the requirements for ESM, to study theoretical aspects of electronic educational resources in the professional activity of future teachers. The results created by the introduction of our course “Methodology development and use of electronic educational resources” for future teachers of technology ITOS in the process of professional specialty “Technology” in the educational process of higher educational institutions of Ukraine. The article states the rapid development of computer hardware and computer software, IT technologies have an opportunity to significantly develop the field of electronic educational resources. This is due to the emergence of global networks where information technologies have become the second paradigm, which is based on the current understanding of electronic educational resources. We determined that the dynamism inherent in information technology, enabling expectations of new approaches that will change the meaning of electronic educational resources

A Stochastic Approach of Dependency Evaluation for IoT Devices

Internet of things (IoT) is an emerging technique that offers advanced connectivity of devices, systems, services, and human beings. With the rapid development of hardware and network technologies, the IoT can refer to a wide variety and large number of devices, resulting in complex relationships among IoT devices. The dependencies among IoT devices, which reflect their relationships, are with reference value for the design, development and management of IoT devices. This paper proposes a stochastic model based approach for evaluating the dependencies of IoT devices. A random walk model is proposed to describe the relationships of IoT devices, and its corresponding Markov chain is obtained for dependency analysis. A framework as well as schemes and algorithms for dependency evaluation in real-world IoT are designed based on traffic measurement. Simulation experiments based on real-life data extracted from smart home environments are conducted to illustrate the efficacy of the approach.

Curvature aided Hough transform for circle detection

Conventional Hough based circle detection methods are robust, but for computers in last century, it is to slow and memory demanding. With the rapid development of computer hardware, Hough transform is acceptable now. Improvement on Hough based circle detection is valuable. In this paper, we present a novel curvature aided Hough transform for circle detection (CACD) algorithm, which estimates the circle radius from curvature. Curvature pre-estimation is capable to avoid both accumulating operations of all the points and interruption between different scales, which result in faster and more precise circle detection. Compared to the conventional Hough-based algorithm for circle detection, the algorithm is more practical and less time consuming. Its time taking is about 1/8 of that of conventional algorithm. Test results on traffic sign images shown that The CACD gets an AUC (Area Under Curve) of 0.9125. The CACD is capable to detect circles of different radius in complex scene.

The Optimization and Implementation of Power System Parallel Computing Management Platform

With the rapid development of computer hardware, parallel computing cluster is becoming more and more powerful. It becomes focus of attention that how to make full use of the parallel abilities in computing cluster for grid service faster and more agility in the analysis of power system simulation. This paper introduces the optimization and implementation of power system parallel computing management platform based on online and offline power system research. It improves the computing resource utilization, enhances the general platform, standardizes management of computing interface at the same time and realizes the application process can be configured for the customs. At present, the optimization and implementation of power system parallel computing management platform has been successfully applied to online warning research and auxiliary decision in the power system, and it is also applied to offline study prediction, collaborative system for power grid operation mode calculation and so on.