Recent progress in visualization and digitization of coherent transformation structures and application in high-strength steel

High-strength steels are mainly composed of medium-or low-temperature microstructures,such as bainite or martensite,with coherent transformation characteristics.This type of microstructure has a high density of dislocations and fine crystallographic structural units,which ease the coordinated matching of high strength,toughness,and plasticity.Meanwhile,given its excellent welding perform-ance,high-strength steel has been widely used in major engineering constructions,such as pipelines,ships,and bridges.However,visual-ization and digitization of the effective units of these coherent transformation structures using traditional methods(optical microscopy and scanning electron microscopy)is difficult due to their complex morphology.Moreover,the establishment of quantitative relationships with macroscopic mechanical properties and key process parameters presents additional difficulty.This article reviews the latest progress in microstructural visualization and digitization of high-strength steel,with a focus on the application of crystallographic methods in the development of high-strength steel plates and welding.We obtained the crystallographic data(Euler angle)of the transformed microstruc-tures through electron back-scattering diffraction and combined them with the calculation of inverse transformation from bainite or martensite to austenite to determine the reconstruction of high-temperature parent austenite and orientation relationship(OR)during con-tinuous cooling transformation.Furthermore,visualization of crystallographic packets,blocks,and variants based on actual OR and digit-ization of various grain boundaries can be effectively completed to establish quantitative relationships with alloy composition and key process parameters,thereby providing reverse design guidance for the development of high-strength steel.

The Digitization of Public Services and Its Contribution to the Quality of Service in Relation to User Satisfaction

In recent years, some governments have been working on solutions to transform public administrations and provide high-quality services to users. The United Nations has recommended integrating digital technology into various aspects of life, including public services. The objective is to offer real-time, high-quality digital services, improve the delivery of public services, enhance their effectiveness and efficiency, while achieving objectives such as transparency, interoperability and citizen satisfaction. However, most governments in developing countries are unable to keep up with this trend. As a result, they often create digital public services that fall short of users’ expectations. This study aims to identify the fundamental factors influencing the quality of service in relation to user satisfaction and to explore the relevance of digital technology in implementing this quality within Cameroon public administrations. To achieve this, we used a qualimetric research method, which included non-directive interviews, questionnaires, and structured observations. The results showed that the public services offered in our study environment did not meet users’ expectations. However, the study identified the fundamental aspects to be considered in providing quality public services connected to user satisfaction, as well as the strengths of digitization in achieving this quality.

Does enterprise digitization reduce carbon emissions? Evidence from China

The digital transformation and expansion of businesses will provide China’s low-carbon economic develop‐ment strategy with fresh impetus in the backdrop of the emerging digital economy and environmentally friendly growth.This article measures the level of enterprise digitization using two methods:the enterprise digitization index and text analysis word frequency statistics.Additionally,carbon emissions are obtained by measuring various types of emissions according to the carbon emission classification range standard.To ac‐count for endogeneity and unobservable variables,relative indicators,such as the rate of increase for company emissions of carbon,are utilized.Using microdata from Chinese listed firms from 2011 to 2021,this study ex‐amines the implications of corporate digitization on enterprise carbon emissions.This study further analyzes the transmission mechanism and investigates the function of green finance in controlling corporate digitiza‐tion and reducing corporate carbon emissions by distinguishing between two types of green patents.Research shows that businesses’carbon emissions are greatly reduced as a consequence of getting digital.Even after performing several robustness and endogeneity tests,the conclusion still remains valid.According to mecha‐nism analysis,which demonstrates that the main strategy for reducing corporate emissions of carbon through the digitalization of enterprises is to promote innovation in green technology.The regulation of green finance in enterprise digitalization will further reduce corporate carbon emissions.According to the analysis of hetero‐geneity,state-owned businesses and those situated in areas with stringent environmental regulations are more significantly impacted by enterprise digitization on corporate carbon emissions.This article discusses the mechanism of promoting corporate carbon emissions through digitalization,expands on relevant research on corporate digitalization,and analyzes the achievable paths of corporate digitalization and low-carbon develop‐ment strategies.

Transforming the World of Textiles:efficiency,digitization and circulation--Interview with Dr. Janpeter Horn,Chairman of the VDMA TextileMachinery Association, andManaging Director of August HerzogMaschinenfabrik

Most of 2022 was a good year for the German textile machinery sector. The overall exports of textile machinery and accessories summed up to approx. 3 billion euros, which was slightly above the good year 2021. But from autumn on, incoming orders have slowed down and there have been some cancellations. The latest turnover forecast of the VDMA assumes a minus of 7 percent for our industry in 2023/2022(coming from high numbers in 2022/2021: plus 19 percent).

Structural analysis of information digitization on process of Dujiangyan area in Sichuan earthquake(Ms 5.0)

This paper attempts to analyze geothermy revealed by the sounding data at 8 h and 20 h every day from China Meteorological Administration and the data counted per minute such as the wellhead temperature,the electromagnetic disturbance,the ground tilt and so of water level instrument in Sanxing of Chengdu with the method of information digitization.The result shows the recognizable differentiation of the change process before and after the earthquake,provides an analytic method for the improvement of earthquake prediction or prevention,and shows the feasible further research and the wide application prospect.

Recent advances of digitization in rock mechanics and rock engineering

In recent years, there are growing demands of representing rock mechanics and rock engineering in a digital format that can be easily managed, manipulated, analyzed and shared. The objective of this paper is to give a comprehensive review of the status quo and future trends of digitization in rock mechanics and rock engineering. Research topics essential to the process of digitization are firstly discussed, including data acquisition, data standardization, geological modeling, visualization and digital-numerical integration. New techniques that will play an important role in digitization process but require further improvement are then briefly proposed. Finally, achievements of present methods and techniques for digitization in substantial rock mechanics and rock engineering are presented.

Error Model of Curves in GIS and Digitization Experiment

A stochastic error process of curves is proposed as the error model to describe the errors of curves in GIS. In terms of the stochastic process, four characteristics concerning the local error of curves, namely, mean error function, standard error function, absolute error function, and the correlation function of errors , are put forward. The total error of a curve is expressed by a mean square integral of the stochastic error process. The probabilistic meanings and geometric meanings of the characteristics mentioned above are also discussed. A scan digitization experiment is designed to check the efficiency of the model. In the experiment, a piece of contour line is digitized for more than 100 times and lots of sample functions are derived from the experiment. Finally, all the error characteristics are estimated on the basis of sample functions. The experiment results show that the systematic error in digitized map data is not negligible, and the errors of points on curves are chiefly dependent on the curvature and the concavity of the curves.

Analysis of Factors that Affect Government Digitization:A Pilot Case Study of Pakistan

One of the greatest factors that affects the economic condition of a country is its institutions.In the model of good governance,the primary elements for stronger institution include efficiency,transparency,and accountability;and technology plays a major role in improving these elements.However,there are myriad of challenges when it comes to practical integration of technology in these institutions for efficiency.It is more challenging when a country is developing and one that is already weak economically.It is also important to mention that the challenges of digitization in public sector is not limited to developing countries only.It is equally challenging,even today,in already developed countries to digitally transform their public institutions for improved policymaking and for responsive service delivery.Many factors contribute to the failure of such digitization initiatives,more so within developing countries.And the purpose of this paper is to identify those factors,to measure the significance of each of those factors,and to realize and overcome them.This research considered the case study of Pakistan;however,the results are very likely to match the conditions of other developing regions around the world.Through questionnaires and interviews,valuable feedback was gathered from up to 25 senior government officers that are closely associated with digitization initiatives in public sector.The feedback to the questions were overall unanimous.The results indicate the most significant of factors that affect government digitization in this developing region,including some factors that were not expected.

THREE DIMENSIONAL DIGITIZATION OF HUMAN HEAD BY FUSING STRUCTURED LIGHT AND CONTOURS

Three dimensional digitization of human head is desired in many applications. In this paper, an information fusion based scheme is presented to obtain 3-D information of human head. Structured light technology is employed to measure depth. For the special reflection areas,in which the structured light stripe can not be detected directly, the shape of the structured light stripe can be calculated from the corresponding contour. By fusing the information of structured light and the contours, the problem of reflectance influence is solved, and the whole shape of head,including hair area, can be obtained. Some good results are obtained.

Digitization characteristics of geothermal information and structural analysis of 2011 off the Pacific coast of Tohoku Ms9.0 earthquake

Earthquake is one of the difficult problems that can not be solved as of this writing since the time when mod- em science was initiated over 300 years ago, and irregular events cannot be dealt with by using quantities examples before and followed by a view of the number of analysis systems in modem science ; meanwhile, it covers the problem that how to use changeable information. Structural analysis method is developed particularly for the study of evolutionary transitional processes of the changing events by employing irregular information, and emphasizes the primitiveness of changes in events. Based on the data of sounding observation every 08 o＇ clock and 20 o＇ clock per day from China Meteorological Administration, in this paper, we employ the digital structural analysis method to analyze the process of the special, structural characteristics of 2011 off the Pacific coast of Tohoku Ms9.0 earthquake. The result shows that the method can reflect the process of geothermal structures before and after earthquake; it can reflect the congruity between geothermal ＂heat level＂ and the level of earthquake energy. When the structure before the earthquake is ＂the counter clockwise rolling current and the unstable structures＂ with ＂dry in lower levels and wet in upper levels＂, we should be worry about the problem of earthquake. In a word, geothermal information could reveal that earthquakes really would be ＂heralded＂.

From Transitions to Transformation: A Brief Review of the Potential Impacts of COVID-19 on Boosting Digitization, Digitalization, and Systems Thinking in the Built Environment

In a short time, during the early phases of the COVID-19 pandemic outbreak, we managed to shift rapidly to use digital technologies and replace some of our daily operations with virtual modes. This shift happened so instantly and widely that it enables us to argue that the COVID-19 became a valid reason to boost some of the gradual and ongoing transitions towards faster transformations. In this study, we use gray literature to delve into arguments around the boost for digitization, digitalization, and systems thinking in the development of the built environment. This is mostly discussed from the influence of COVID-19 on some of the existing practices or the business-as-usual of the built environment sector. From technological advancement to technology use, these arguments are put forward to discuss what is likely to be the major driver of technological adoption and the shifting paradigms that are yet to be revealed. The study concludes that the current push towards new directions and development pathways are likely to be widely accepted in a shorter time. The findings of this brief study feed into existing arguments on transformative pathways due to the COVID-19 pandemic.

Reflection on Notre Dame Cathedral Fire:Protecting Cultural Relics Themselves is More Important Than Digitization

According to people in the museum industry, subject to a variety of conditions, no country in the world has completed the digital recording ot all their cultural relics including buildings. When it comes to the difficulties, they hold that raising awarencss is the top priority. Recognizing the importance of digitization is the most important and difficult task.

Design and Application of Homework Digitization Resources Based on Knowledge Management

Analyzing the education resource construction and management from knowledge management perspective is the hot spot and focus of current education research. We make the knowledge management concept of knowledge acquisition, knowledge application and knowledge creation as the core throughuot the whole process of homework management activities to realize the optimization of homework management process. It mainly illustrates the sharing design and application of homework digitization resources. The sharing and application of homework digitization resources will promote the accumulation of teaching knowledge, which has a guiding research significance for promoting the use of educational resources, the application of education knowledge and the virtuous cycle of transformation and accumulation.

DESIGN AND REALIZATION OF MAP DIGITIZATION SYSTEM ON MICRO-COMPUTER BASED MAP GRAPHIC WORKSTATION

The main purpose to develop a Map Graphic Workstation on thewidely used micro-computer is that by it the whole processing of map data fromcapturing,managing,editing,updating to graphic outputting can be realized.Map Digitization System（MDS）is the software system to deal with the initial andalso the most important processing.In this paper,the authors introduce a MDSon a micro-computer based Map Grphic Workstation that has been qualitified forthe producation of digital map.Since the system is designed totally independentlyand in the general frame of the Map Graphic Workstation,the capturing and man-aging and other processings for map data are in an integral manner,in which theproducation of digital map can be fulfilled conveniently.At the same time,thesystem is flexible for function extension and widely applicable to the data from dif-ferent sources and with different information characterisitcs(e.g.,the processingof Chinese characters on map).

Thoughts About Paths for Digitization of Traditional Chinese Medicine-Refined Data Elements

For digitalization of traditional Chinese medicine(TCM),research is being conducted on objectivization of diagnosis and treatment,mathematical models of TCM theories,and application of modern information technology to digitize the vast amounts of existing information.However,the author believes that TCM practitioners should first conduct a systematic and comprehensive refined analysis on the knowledge of TCM and unify data elements used in computer intelligence to avoid ambiguity.Thus,we must overcome the epistemological constraints and carefully analyze the relationship among data elements to achieve systematic results and administer TCM appropriately.

Capacity Openness Boosts Digitization Transformation of Telecom Operators

With the emergence of digital transformation success stories,more and more enterprises are launching digital solutions to improve business efficiency or achieve optimal revenue growth.The traditional communication market tends to be saturated,and the digital transformation of telecom operators is imminent.This article combining the development trend of telecom operators’product business and the application situation of the pilot summarizes the innovative application categories that telecom operators continue to launch based on their own advantages and in response to the needs of the industry.This article focuses on the transformation of security capabilities in communication services,big data,Internet of Things,artificial intelligence,unified authentication and network information security,and deeply analyzes the business characteristics and application modes from the aspects of resource integration,open platform construction,new connection construction,and innovative business development.This article puts forward suggestions for the security development of telecom operators,and provides basic research content for the subsequent research on the innovative application of telecom operators’capability openness.

Study on Digitization of TCM Diagnosis Applied Extraction Method of Blood Vessel

This paper presents a study on digitization of Traditional Chinese Medicine diagnosis. The research consists of two aspects: a) algorithms for blood vessels extraction in sclera-conjunctiva images, which can be applied in syndrome differentiation by observing human eyes (named Ocular Diagnostic in Traditional Chinese Medicine);b) digitization of extracted vessels. First, sclera-conjunctiva region is isolated by optimal threshold segmentation and mathematical operation;Scanning and edge detection methods are used to gain the edge of the blood vessels. Moreover, the edge feature parameters are gained, which can be used to reconstruct the blood vessels. Experimental results show that blood vessels information can be obtained fast and accurately for the further TCM diagnosis by artificial system.

On the Digitization of Doctoral/Master’s Dissertations and Online Access to the Resources

With the rapid development of higher education, more and more people are entitled doctoral or master’s degrees, resulting in the considerable increase in doctoral dissertations and master’s theses. The application of IT technology renders the possibility to digitize those dissertations, which has contributed a lot to the construction of digital library. The characteristics and corresponding problems like property right, security and sharing will be discussed in this paper. And the paper makes a general introduction will be made to the specific ways adopted by the library of UESTC and its distribution of digitized dissertation resources.

Semantic Consistency and Correctness Verification of Digital Traffic Rules

The consensus of the automotive industry and traffic management authorities is that autonomous vehicles must follow the same traffic laws as human drivers.Using formal or digital methods,natural language traffic rules can be translated into machine language and used by autonomous vehicles.In this paper,a translation flow is designed.Beyond the translation,a deeper examination is required,because the semantics of natural languages are rich and complex,and frequently contain hidden assumptions.The issue of how to ensure that digital rules are accurate and consistent with the original intent of the traffic rules they represent is both significant and unresolved.In response,we propose a method of formal verification that combines equivalence verification with model checking.Reasonable and reassuring digital traffic rules can be obtained by utilizing the proposed traffic rule digitization flow and verification method.In addition,we offer a number of simulation applications that employ digital traffic rules to assess vehicle violations.The experimental findings indicate that our digital rules utilizing metric temporal logic(MTL)can be easily incorporated into simulation platforms and autonomous driving systems(ADS).

Multimodal Deep Neural Networks for Digitized Document Classification

As digital technologies have advanced more rapidly,the number of paper documents recently converted into a digital format has exponentially increased.To respond to the urgent need to categorize the growing number of digitized documents,the classification of digitized documents in real time has been identified as the primary goal of our study.A paper classification is the first stage in automating document control and efficient knowledge discovery with no or little human involvement.Artificial intelligence methods such as Deep Learning are now combined with segmentation to study and interpret those traits,which were not conceivable ten years ago.Deep learning aids in comprehending input patterns so that object classes may be predicted.The segmentation process divides the input image into separate segments for a more thorough image study.This study proposes a deep learning-enabled framework for automated document classification,which can be implemented in higher education.To further this goal,a dataset was developed that includes seven categories:Diplomas,Personal documents,Journal of Accounting of higher education diplomas,Service letters,Orders,Production orders,and Student orders.Subsequently,a deep learning model based on Conv2D layers is proposed for the document classification process.In the final part of this research,the proposed model is evaluated and compared with other machine-learning techniques.The results demonstrate that the proposed deep learning model shows high results in document categorization overtaking the other machine learning models by reaching 94.84%,94.79%,94.62%,94.43%,94.07%in accuracy,precision,recall,F-score,and AUC-ROC,respectively.The achieved results prove that the proposed deep model is acceptable to use in practice as an assistant to an office worker.