Human Participation Research Articles

Visualization Design Practices in a Crisis: Behind the Scenes with COVID-19 Dashboard Creators.

During the COVID-19 pandemic, a number of data visualizations were created to inform the public about the rapidly evolving crisis. Data dashboards, a form of information dissemination used during the pandemic, have facilitated this process by visualizing statistics regarding the number of COVID-19 cases over time. Prior work on COVID-19 visualizations has primarily focused on the design and evaluation of specific visualization systems from technology-centered perspectives. However, little is known about what occurs behind the scenes during the visualization creation processes, given the complex sociotechnical contexts in which they are embedded. Yet, such ecological knowledge is necessary to help characterize the nuances and trajectories of visualization design practices in the wild, as well as generate insights into how creators come to understand and approach visualization design on their own terms and for their own situated purposes. In this research, we conducted a qualitative interview study among dashboard creators from federal agencies, state health departments, mainstream news media outlets, and other organizations that created (often widely-used) COVID-19 dashboards to answer the following questions: how did visualization creators engage in COVID-19 dashboard design, and what tensions, conflicts, and challenges arose during this process? Our findings detail the trajectory of design practices-from creation to expansion, maintenance, and termination-that are shaped by the complex interplay between design goals, tools and technologies, labor, emerging crisis contexts, and public engagement. We particularly examined the tensions between designers and the general public involved in these processes. These conflicts, which often materialized due to a divergence between public demands and standing policies, centered around the type and amount of information to be visualized, how public perceptions shape and are shaped by visualization design, and the strategies utilized to deal with (potential) misinterpretations and misuse of visualizations. Our findings and lessons learned shed light on new ways of thinking in visualization design, focusing on the bundled activities that are invariably involved in human and nonhuman participation throughout the entire trajectory of design practice.

Chaucer's Prayers: Writing Christian and Pagan Devotion

Chaucer's Prayers: Writing Christian and Pagan Devotion

A Survey of Challenges in Spectrum-Based Software Fault Localization

In software debugging, fault localization is the most difficult, expensive, tedious, and time-consuming task, particularly for large-scale software systems. This is due to the fact that it requires significant human participation and it is difficult to automate its sub-tasks. Therefore, there is a high demand for automatic fault localization techniques that can help software engineers effectively find the locations of faults with minimal human intervention. This has led to the proposal of implementing different types of such techniques. However, Spectrum Based Fault Localization (SBFL) is considered amongst the most prominent techniques in this respect due to its efficiency and effectiveness. In SBFL, the probability of each program element (e.g., statement, block, or function) being faulty is calculated based on the results of executing test cases and their corresponding code coverage information. However, SBFL techniques are not yet widely adopted in the industry. The rationale behind this is that they pose a number of issues and their performance is affected by several influential factors. For example, the characteristics of bugs, target programs, test suites, and supporting tools make their effectiveness differ dramatically from one case to another. There are massive studies on SBFL that cover its usage, formulas, performance, etc. So far, no dedicated survey points out comprehensively the issues of SBFL. In this paper, various SBFL challenges and issues have been identified, categorized, and discussed alongside many directions. Also, the paper raises awareness of the works being achieved to address the identified issues and suggests some potential solutions too.

ЛЮДСЬКИЙ ПОТЕНЦІАЛ В УМОВАХ ЄВРОІНТЕГРАЦІЇ УКРАЇНИ

The paper is devoted to the research of the role of human as the basis of human potential of the country on basis by the disclosuring of the concepts of human potential and analysis of the human development index, human capital index and the Global Competitiveness Index of Ukraine and the European Union. The expediency and necessity of digitalization of the state processes, the electronic document management system (EDMS), the electronic interaction with citizens and the electronic services are substantiated. Today in Ukraine the European integration acquires a qualitatively new meaning. This is due to the complex socio-economic and political processes, which are associated with the Ukraine’s chosen European vector of development, which in the perspective will help improve the socio-economic situation of society. The human potential is the broadest socio-economic category which characterizes the human participation in social processes. Human potential determines not only the country’s desire to ensure the future existence of creative, the qualified personnel, but also significantly affects on the expanded social renewal in terms of demographic, economic, social and spiritual life. Accordingly, in the digital economy, human resources should be given priority attention on the all levels of government. The development of human potential is influenced by the large number of factors (demo- graphic, investment, natural, housing, social, technical and technological, labour, economic, educational and innovative). One of the most recognized and widespread indicators in the world practice that assess the state, problems and level of human potential are such key indicators as: human development index, human capital index, the global competitiveness index. These indicators allow reflecting the impact on human potential of all these factors and show Ukraine in the ranking of countries of the world. The economic crises have affected on the Human Development Index (HDI) not only on Ukraine, but also on the European countries. In fact, over the ten-year period, the HDI rate for the European countries has deteriorated significantly, but with given the negative economic phenomena of 2017 and 2018, it still had some positive changes as of early 2020. At the same time, the small post-Soviet and now the European countries have significantly improved this indicator by conducting the successful reforms of social sphere. The Human Capital Index (HCI) shows that 70% of the national wealth is formed by the developed countries and only 30% of the national wealth of Ukraine. What is even worse is that while the developed countries are increasing their human capital, Ukraine is losing it. The Global Competitiveness Index (GCI) should be used by the countries, which are striving to remove the existing barriers to the economic development and competitiveness as a tool for analyzing the problematic issues in their economic policy and develop anti-crisis strategies. According to the GCI, Ukraine has improved its state, but this improvement is extremely slow, while the EU’s countries are among the TOP-fifty countries with a high level of competitiveness. Thus, during the research period, almost all indices (except HDI) have increased, however, such increasing did not provide the best position of Ukraine in the world rankings, which indicates about the need significantly much higher rates of intellectualization of the economy. The changes are quite slow. On the basis of conducted analysis, it can be stated that the level of using of human potential are not improving in the recent years. As the observations are shown, the using of human potential in Ukraine takes place in conditions of the crisis phenomena in the economy and socio-cultural contradictions in society. The reform of the economy as a whole and its individual sectors, in particular, the public sector of the economy, the electronic document management system (EDMS), the electronic interaction with citizens and services has a great influence on the improvement of the analyzed indices.

ОЦЕНКА РАЗВИТИЯ ПРОДОВОЛЬСТВЕННОГО РЫНКА РЕГИОНОВ ДАЛЬНЕВОСТОЧНОГО ОКРУГА В УСЛОВИЯХ ЦИФРОВОЙ ТРАНСФОРМАЦИИ

The relevance of the research topic is due, first of all, to the implementation of an important strategic task - ensuring the stability of the economic development of the countries of the world in the face of uncertainty and the socio-economic consequences of the pandemic crisis. Under these conditions, it is necessary to study the features of the digital transformation process development in the agri-food sector and assess its impact on the food market. Ensuring global strategic stability is a paramount task for the modern development of many countries. The development of the global digital transformation of the Russian economy in the context of fierce hypercompetition involves the creation of new adaptive mechanisms for the interaction of economic entities and institutions, taking into account the current unstable epidemiological situation in the country and in the world within a single information space. Global instability caused by the uncertainty of economic development requires the development of constructive strategic solutions aimed at stabilization. The development of the digitalization process covers many types and areas of activity and requires additional support and attraction of foreign investment. The food market is one of the important elements of the food supply system for the population with basic foodstuffs. In the context of the development of the digital transformation process, it is necessary to study the influence of a number of factors on the development of the food market. In particular, the state of the market situation, the level of effective demand of the population for the development of the food market in the regions of the Far Eastern District. The development of the digital transformation process has an inadequate impact on the development of the food supply system. This is due not only to the introduction of modern innovative technologies, the creation of new digital ecosystems. Digitalization involves minimizing human participation in the implementation of economic processes based on the use of modern digital technologies is quite remote. In a pandemic crisis, the digital transformation process development becomes a necessary condition for the functioning of business structures in the agri-food sector. Social paratroopers, remote work, training have capitalized on the trend towards the merging of digital and physical reality. Digital channels and services have enabled consumers to get a wider range of services, in particular, in 2021, e-commerce grew by 25 %, online food delivery by 27 %

Merger of Network Graph Indicators to Estimate Resilience in Latin American Cities

In Latin America, cities are characterized by uncontrolled urban growth and locations in critical geographic areas. This factor affects an individual’s ability to react efficiently to an action known as resilience to disasters caused by natural phenomena or catastrophes that involve human participation. This study proposes a method for detecting vulnerabilities in urban road systems in large, intermediate, and small cities in Latin America, so that resilience can be better supported. Depending on the structural characteristics of a city, measurement techniques can be used to combine the topological, geographic, and spatiotemporal indicators. Several measurements, such as mesh and connectivity, betweenness centrality, closeness centrality, robustness of networks with interruption attacks, location of dead ends, measurement of travel times between origin and destination, elevations and fusion of indicators with clusters on the same map, were applied using network graphs from OpenStreetMap (OSM) to estimate the resilience of road networks. The results are exposed to clusters of fused geospatial maps, which show that intersections and streets tend to be classified as vulnerable, with morphological structures of growth, resistance to degradation of the urban network, marginal urban sectors with high conglomeration, and mobility. The results highlight the importance of applying resilient practices in the region and generating urban management options to strengthen the response capacity of cities in Latin America.

Трансформация бухгалтерской профессии: обзор современных тенденций и перспектив

The relevance of the study of the results of the impact of digitalization on such a mass economic profession as an accountant is due to the fact that existing information processing technologies are already calling into question the very need for human participation in the accounting process. The numerous opinions presented in the domestic and foreign scientific discourse on the prospects for the existence of the accounting profession are diverse. Some scientists predict its disappearance soon enough, others prove the absence of objective reasons to expect such a scenario. The purpose of the article is to compare different points of view on the problem of the existence of the accounting profession in the foreseeable future, based on a number of scientific publications devoted to the professional activities of accountants and their academic training in the context of the widespread introduction of digital technologies, to summarize existing approaches to forecasting the professional future of accountants and accounting education, to identify conceptual directions of its diversification. Materials and methods. The research is based on the study of foreign and domestic thematic literature and an attempt to further analyze the problem of the impact of digitalization on the accounting profession and accounting education. Results. The main trends in the modern accounting profession aimed at the interaction of an accountant with digital technologies are identified, conclusions are presented based on the results of domestic and foreign case studies that can be useful in developing key directions for the development of domestic accounting education, its modernization due to the increase in the intellectual component of the accountant’s work and the emergence of new types of accounting.

A Comparative Study of AutoML Approaches for Short-Term Electric Load Forecasting

Deep learning is increasingly used in short-term load forecasting. However, deep learning models are difficult to train, and adjusting training hyper-parameters takes time and effort. Automated machine learning (AutoML) can reduce human participation in machine learning process and improve the efficiency of modelling while ensuring the accuracy of prediction. In this paper, we compare the usage of three AutoML approaches in short-term load forecasting. The experiments on a real-world dataset show that the predictive performance of AutoGluon outperforms that of AutoPytorch and Auto-Keras, according to three performance metrics: MAE, RMSE and MAPE. AutoPytorch and Auto-Keras have similar performance and are not easy to compare.

바슐라르의 상상력이론으로 본 현대건축에서의 주관적 이미지 발생구조 연구

It has become an art form that does not accept the meaning of the writer, but rather creates meaning through the subjective participation of the audience. Architecture is also a space where people can experience life in detail, and it is necessary to create meaning through human participation. Therefore, I would like to look at it with the concept of

Managing Post-Stroke Care During the COVID-19 Pandemic at a Tertiary Care Level Hospital in Peru

ObjectivesTo understand the hospital-to-outpatient care transition and how the discharge process of stroke patients is managed; and to identify potential opportunities to improve these processes, while contrasting pre- and during COVID-19 experiences in Peru. MethodsA qualitative study was conducted between February and March 2021 consisting of in-depth interviews of patients with stroke, their caregivers and healthcare personnel regarding stroke care at a national tertiary referral center for stroke care in Lima, Peru. We explored the following phases of the patients’ journeys: pre-hospitalization, emergency room, hospitalization, discharge process and post-discharge. For each phase, we explored experiences, feelings and expectations using thematic analysis. ResultsWe conducted a total of 11 interviews with patients or caregivers and 7 with health care personnel and found disruption in the continuity of care for patients with stroke. Mainly, caregivers and patients referred to problems related to communication with healthcare personnel and an absence of training to provide post-discharge care at home. Potential solutions included increasing human resources and caregiver participation in care, implementation of electronic healthcare records, improving the referral system and reinforcing telemedicine services. ConclusionThe continuity of care of patients with stroke was negatively affected during the COVID-19 pandemic. In LMICs, the impact was likely greater due to the already weak and fragmented healthcare systems. The COVID-19 pandemic presents an opportunity to improve post-stroke care services, and address patients’ experiences and feelings by developing solutions in a participatory manner.

СПРОЩЕНА СИСТЕМА ОПОДАТКУВАННЯ ЯК ЕЛЕМЕНТ ПОДАТКОВОГО СТИМУЛЮВАННЯ СУБ’ЄКТІВ АГРАРНОГО ВИРОБНИЦТВА

An author's approach to the application the simplified taxation for farmers that is legally contained in the Tax Code of Ukraine has been developed and systematized in the paper. It is determined that tax incentives for farmers are applied through the use of a simplified taxation system, which purpose is commonly agreed state interests and the economic growth of taxpayers. Priorities have been identified that determine the lasting economic expansion of agricultural production, aimed at increasing the production volume and sales. It was also pointed out that the essential to the creation tax incentives mechanism for the agricultural sector is an effective tax administration, through which the resistance and stability of the tax system is ensured. The main assignment of the current tax tools for encouraging economic sectors has been formed, which is defined as monitoring of the incentives effectiveness. The influence on the taxation of business entities in the agricultural sector, which is reflected in the administration and management of the tax system, in particular, the application of digital technologies, has been determined. It is noted that the introduction of digital technologies into the taxation provides the capacity for monitoring has increased due to the increase in technology, hardware and software for inspection, processing, transferring and analyzing information with a decrease in human participation and an increase in the objectivity of control. Moreover, the strategy of tax incentives for the growth of the agricultural sector, which should be introduced into the national tax system, is of great importance in the taxation of economic entities in the agricultural sector of the economy. A mechanism for taxation with flat tax was created, in which the entire amount of the tax liability remained at the disposal of the agricultural enterprise and was directed to expanded reproduction. It is determined that an important prerequisite for improving tax incentives for the agricultural sector is the effective land use by business of all forms of management. It was also proposed to use the increase coefficients for the land (single) fourth group of tax for the misuse of agricultural land.

Institutional Strengthening of Electoral Commission in Increasing Voter Participation in Medan Mayoral Elections 2020

Institutional strengthening of Electoral Commission is a model to increase voter participation in 2020 Medan Mayoral Elections. Purpose of activities in improving voter participation through; First, describe trend of voter participation in Medan. Second, explain the Readiness of the Medan Municipal Election Commission in 2020 Regional Head Elections. Third, explaining institutional strengthening of Electoral Commission in increasing voter participation in Medan. Method of implementation of activities through a panel discussion with Blended learning based on webinars, and face-to-face with Selection Committee of Medan District. Results of devotion show; First, trend voter participation in regional head elections tends to be low, so a social and cultural approach is needed in increasing participation in Medan. Second, readiness of Medan Municipal Election Commission in the 2020 regional elections is readiness of human resources, socialization, participation and adaptation of new normal life. Third, institutional strengthening of Electoral Commission in increasing voter participation should be done to Ad Hoc institutions such as District Election Committee, Voting Committee, Voter Data Update Officer and Voting Organizing Group to better understand duties, functions and protocols of health. In addition, new innovations in political socialization and political education through information technology media provide public awareness and increase voter participation

Sinergitas Bumdes dalam Manajemen Pengelolaan Desa Wisata Menuju Pariwisata Berkelanjutan

Sustainable development is an issue discussed by the current government apparatus. In the tourism sector also every region began to focus on sustainable tourism Sustainable tourism is an alternative to mass tourism and efforts to increase positive effects and reduce the harmful effects of tourism on local communities and the natural environment. Munding is a village located in Kecamatan Bergas, Kabupaten Semarang, Provinsi Jawa Tengah. Desa Munding has tourism potential including Curug Tirto Wening, Curug Tirto Wati, Bukit Kembar Cemanggal, and Religious Tourism Tomb sheikh syarif. However, the tour has not been entirely appropriately managed, so it requires further management to become a tour with good governance. There are three priority aspects focused on this devotion: human resources, infrastructure, and participation. The solution to human resource problems are done through the socialization of tourism village management and improving the literacy of tourism village development to the local community. Furthermore, the solution to infrastructure problems is done by rejuvenating existing facilities and infrastructure and continuously monitoring facilities and infrastructure. So always maintain it is quality. Meanwhile, the solution to the problem of low participation is done by integrating all elements supporting tourist villages, including village-owned enterprises in the Munding village. Through the assistance, it is expected that Munding village becomes a tourist village with a higher selling value to improve the community's welfare.

Labor in Livelihood Constellations along Coastal Plains

AbstractCoastal plain economies are dependent on seasonal, low‐wage labor for tourism, fisheries, construction, and other sectors. Historically, labor in these sectors has come from multiple social and cultural backgrounds: natives, legal and undocumented immigrants, visiting mariners, students, guestworkers, etc. Anti‐immigration sentiments around the world have forced undocumented immigrants further underground while increasing demand for legal guestworkers, encouraging the growth of subcontracting and nonmarket labor relations, making work more precarious and laying the groundwork for human participation in livelihood constellations—or several activities that individuals and households combine for income, health, and well‐being. Focusing on Eastern North Carolina, this paper examines how these processes influence local economies and the lives of working people, using this analysis as an occasion to critique market‐emphasis economic analysis.

A Many-Objective Multistage Optimization-Based Fuzzy Decision-Making Model for Coal Production Prediction

The traditional coal energy system cannot meet the requirements of modern industrial production for sustainable development because extensive economic growth has caused significant coal consumption. Therefore, it is particularly important to formulate an effective coal production decision-making scheme to support complex coal production systems for sustainable development. To address this challenge, an improved many-objective fuzzy decision-making model with human participation for coal production prediction is established in this article. The model includes five objective functions: economic, energetic, environmental, coal gangue, and safety profits. Moreover, a novel multistage many-objective optimization algorithm is designed to adjust relevant model parameters and make the obtained model solution more accurate when compared with involved algorithms. In the algorithm, there are three stages of optimization. In stage one, the model with the relatively good convergence solution is chosen. In stage two, the diversity of the model solution needs to be retained by employing a diversity maintenance mechanism. In stage three, a comprehensive measurement approach is designed to ensure the balance of convergence and diversity during population evolution. To verify the validity of the model and the superiority of the optimization algorithm, five other advanced many-objective algorithms are used for comparison. The results from simulations on a benchmark function show that the proposed optimization algorithm has better performance than involved algorithms. Model solutions obtained on different metrics have better convergence and diversity for the coal fuzzy decision-making problem.

Academic integrity of applicants: curriculum and examination of scientific papers in the context of counteraction to academic plagiarism

As you know, the principles of academic culture and integrity in the current state of university education in Ukraine are often simply perceived as an abstract, but necessary for the European integration of education postulate. Codes of ethics and regulations on combating academic plagiarism are created on the basis of recommendations of the Ministry of Education and Science, regulate the activities of employees and students in the context of prevention and detection of falsifications, violations of academic integrity, including academic plagiarism. The establishment of the principles of academic culture and integrity in educational institutions is a necessary prerequisite for building a strong civic culture in society. Expert evaluation of scientific papers, including anti-plagiarism, in our opinion is an important prerequisite for the adequacy of complex scientific topics and objectifies the overall assessment of the quality of presentation of research results, including dissertations,monographs, manuals, articles and abstracts. The aim of the work was to improve measures to combat academic dishonesty and plagiarismbased on the analysis of current legislation, orders and regulations of Danylo Halytskyi Lviv National Medical University, creation and implementation of a new discipline for PhD students to acquire the necessary knowledge, skills and abilities. based on the topics of meaningful modules, created taking into account the experience of examination of scientific and educational works. In total for the three-year period (2018-2020) 5992 inspections were carried out and violations of academic integrity were confirmed in 611 works, which was the reason for their rejection. Algorithmic logical functional sequence of anti-plagiarism examination of dissertations and abstracts with analysis of the percentage of uniqueness of the text by the method of shingles with optimized settings was used to conduct the initial examination of dissertations to detect academic plagiarism. Deep search parameters and deep verification by Unichek, Plagiarism Detector Pro v. 1092”, etc. with further maternity check and establishment of the percentage of uniqueness of the text by the freely accessible program “AdvegoPlagiatus”. Based on the analysisof the causes, trends and spread of academic plagiarism in the university community for applicants and graduate students was created and implemented the discipline “Information support, academic integrity and research ethics” which is aimed at gaining analytical competencies, flexible skills “soft skills”. necessary during the planning and implementation of dissertation research and ensuring adequate communication in the scientific community. It consists of three content modules “Academic Integrity and Anti-Plagiarism”, “Scientific Ethics”, “Information Technology and Patent and Literary Support of Research Papers”. Lectures, seminars and topics of independent work are aimed at acquiring analytical competencies, flexible skills “soft skills” needed during the planning and implementation of dissertation research and ensuring adequate communication in the scientific community, the formation of graduate students’ theoretical knowledge and practical skills and skills in compliance with ethical and moral and legal principles in the planning and implementation of scientific research with human participation and with the use of laboratory animals, obtaining by graduate students and applicants knowledge of research activities and acquisition of skills of independent research, features of patent research and preparation of reporting documentation. Postgraduate students acquire knowledge of current legislation on academic integrity and anti-plagiarism; ethical aspects of scientist behavior and communication; research planning, organization and tactics strategies; liability for breach of academic integrity; basics of statistical conclusion, counteraction to conflicts of interest, elimination of risk factors and errors in ensuring academic integrity, which determines the social and professional mobility of research and teaching staff, promotes diversification of higher education, increasing the value of scientific knowledge and professional experience. Prospects for further research are to improve algorithms for detecting academic plagiarism and scientific falsifications, optimizing measures to prevent anddetect manifestations of academic dishonesty.

Missio hominum for social justice in South Africa: From missio Dei to missio hominum

Decades after the fall of apartheid, South Africa continues to face problems such as racism, heterosexism, sexism, ableism, xenophobia, and gender-based violence leading to feminicide, which undermines all efforts being made to achieve social justice. Every Christian mission begins or flows out from missio Dei and has a common endeavour to achieve its goal. This article examines missio hominum as the new fundamental paradigm from the perspective of Nico Smith. It believes that when Smith saw the need for missio hominum, social justice was thought of as a prerequisite for the accomplishment of missio Dei’s goal. It examines how he developed the missio hominum paradigm with the aim of advocating for social justice in South Africa. It perceives a potential and a fundamental element for social justice in this new paradigm. Significantly, missio hominum represents a fundamental theological paradigm by which human action is integrated or linked with divine action in order to achieve the goal of the missio Dei. It provides an overview of the literature relating to the featured works on Christian mission and social justice. To the best of the author’s knowledge, little or no work has been published on missio hominum as a missiological paradigm on the way to social justice.Contribution: Missio hominum from the perspective of Nico Smith is described here as a new fundamental missiological paradigm aimed at bringing social justice to South Africa. This paradigm integrates the active participation of all people in the broader discourse of the missio Dei and its fulfilment. Adoption of this paradigm will enrich the field of theology in general and missiology in particular as it expands human participation in missio Dei.

Improving Comprehension: Intelligent Tutoring System Explaining the Domain Rules When Students Break Them

Intelligent tutoring systems have become increasingly common in assisting students but are often aimed at isolated subject-domain tasks without creating a scaffolding system from lower- to higher-level cognitive skills, with low-level skills often neglected. We designed and developed an intelligent tutoring system, CompPrehension, which aims to improve the comprehension level of Bloom’s taxonomy. The system features plug-in-based architecture, easily adding new subject domains and learning strategies. It uses formal models and software reasoners to solve the problems and judge the answers, and generates explanatory feedback about the broken domain rules and follow-up questions to stimulate the students’ thinking. We developed two subject domain models: an Expressions domain for teaching the expression order of evaluation, and a Control Flow Statements domain for code-tracing tasks. The chief novelty of our research is that the developed models are capable of automatic problem classification, determining the knowledge required to solve them and so the pedagogical conditions to use the problem without human participation. More than 100 undergraduate first-year Computer Science students took part in evaluating the system. The results in both subject domains show medium but statistically significant learning gains after using the system for a few days; students with worse previous knowledge gained more. In the Control Flow Statements domain, the number of completed questions correlates positively with the post-test grades and learning gains. The students’ survey showed a slightly positive perception of the system.

Інтелектуальне керування виробничими системами

Introduction. The research is devoted to the problem of building intelligent production management systems. They allow organizing modern efficient production without human participation in its management. Problem. To develop a scheme for creating an algorithm underlying the creation of an intelligent production management system, using the example of a mechanical workshop of a machine-building enterprise. Purpose. To present a scheme for constructing an intelligent control of management system (workshop), which is developed based on the application of an intelligent modeling algorithm and the use of a set of knowledge about the subject area. Methods. The main method used in the development of an intelligent control system is the method of intelligent modeling, which is applied to the knowledge of the machine-building enterprise workshop. Result. A diagram of an intelligent shop management system is built based on the use of knowledge that describes this shop. The model of the workshop is proposed. It consists of a system of plans describing the work of the workshop. Not only the production process is planned, but also material and technical supply, resources, and financial management. Plans are built using the scheduling theory. Conclusion. An intelligent management system at an enterprise implies the possibility of management without human participation in the management process. This system is based on obtaining information about the state of all elements of business processes based on the use of cyber-physical systems and the Internet of things.

Human-in-the-Loop Based Online Handwriting Mathematical Expressions Recognition

<p indent=0mm>Online handwritten mathematical expression recognition method faces some challenges, such as the uncertainty of writing characters, the complexity of mathematical expression structure and the various written styles of expression. Existing no-human-involved recognition algorithms have low recognition accuracy, especially when accidental errors and complex structures occur in mathematical expression writing. A human-in- the-loop based online handwritten mathematical expression recognition method is proposed, which mainly introduces human participation in the structural analysis stage to define and perfect the structural strokes or strokes within the mathematical structure, by means of human modification for the ambiguous strokes in the structure and operation of structural stroke makeup. To evaluate the effectiveness of the proposed method, the method is compared with a no-human-involved recognition algorithm in rate of structural analysis and expression recognition rate. The results show that proposed method can effectively promote users to participate in the process of recognition, and that incorporating user in the recognition processes can improve the accuracy of recognition of structure (9.26%) and expression (13.99%) in handwritten mathematical expression.