Data Information Flow Research Articles

TCMQMS System: A digital twin and blockchain-based platform for tracing the whole process of Chinese medicine quality information

Traditional Chinese medicine is an important medicine and health food in China. In the process of making Chinese medicines, the main active ingredients of the medicines are highly dependent on the production environment due to the special physical characteristics of the medicines themselves. Any slight change in the environment can lead to changes in the active ingredients as well as the final efficacy, even affecting the patient treatment cycle, and this characteristic is not conducive to quality control by national drug quality regulators. In order to enhance the quality management of TCM, a blockchain and digital twin based whole process monitoring system for TCM quality is proposed: Traditional Chinese Medicine Quality Monitoring System (TCMQMS), in order to achieve a whole process, full scope and highly transparent TCM quality monitoring model for TCM production from the source of cultivation to the final patient. And. A blockchain platform based on Fabric blockchain data development platform as well as Sia distributed data storage was designed.
 With the help of Sia distributed storage technology, the amount of data storage is significantly compressed, which achieves the purpose of unifying the huge information data flow into the TCMQMS system and quickly building the system platform using the Fabric platform. In addition, in order to ensure that data is read and written in real time during the manufacturing and transportation of Chinese medicine, environmental sensors, such as temperature and humidity sensors, are placed in the Chinese medicine processing plant and in the transport sector. The environmental sensors, such as temperature and humidity sensors, are placed inside the Chinese medicine processing plants and transport vehicles. The environmental data is combined with the production data recorded by the TCMQMS system and sent to the digital twin TCM manufacturing simulation environment in real time, and through the simulation of the TCM manufacturing environment, the TCM quality environment parameters are continuously iteratively updated to be more suitable for production. This is coupled with real-time linkage with environmental sensors to achieve real-time adjustment of environmental parameters. In addition, the TCMQMS system records the entire process data, giving each data block a unique and tamper-proof hash value and CA certificate, so that when there is a possible quality problem, the hash value and CA certificate will be used to quickly trace the person responsible and the details of the environment in which the TCM was produced in real time. Finally, we present a real-life example of the use of the TCMQMS system to validate our proposed approach.

An effective data communication community establishment scheme in opportunistic networks

AbstractThe network transmission speed has been greatly improved, thanks to the power of 5G technology. The millisecond‐level communication delay has made a qualitative leap in communication quality. However, the sharp increase in the number of nodes connected to the internet has resulted in an explosion of traffic. Ensuring stable network transmission in the face of large data volumes has become an urgent problem to be solved. Existing research mainly optimizes for low data volumes of nodes, and cannot dynamically adapt to node transmission load to cope with explosive growth. This is because the node's cache is always at a high level, which causes community communication to be blocked. To address this issue, the authors have designed an effective data communication community establishment scheme. By adding a data information flow (DIF) attribute to each user and using the dynamic feedback adjustment (DFA) mechanism, the authors can combine the entire communication community and control the user's data information flow concentration at a relatively low level. This degree of optimization ensures that the user node maintains a relatively stable state for fast communication.The authors design an effective data communication community establishment scheme. By adding a data information flow (DIF) attribute to each user, using the dynamic feedback adjustment mechanism and combining the entire communication community, the user's data information flow concentration is controlled at a relatively low level.

CAO/CAE-инженерное сопровождение производства малых предприятий

The creation of high-tech and science based productions allows designing products with high consumer qualities and manufacturing globally competitive products. New trends associated with the digitalization of design and technological projects are accelerating the integration of material and virtual production. A dynamic environment requires the flexibility of management in the face of accelerated adaptation of manufacture. Such challenges involve long-term forecasting and making quick decisions while maintaining the competitiveness of goods and services over time. The technological transformation of small and medium-sized enterprises as part of the transition to digital production determines their integration into the space of distributed factories. Innovative changes in manufacturing technology are accompanied by the introduction of efficient business processes at all levels. The article considers the formation of a group of competencies ensuring the integration of CAD / CAE / CAO into a single information data flow, as well as their distribution in the field of small and medium-sized machine-building enterprises. A single system of intelligent business process model provides support for parallel work of developers.

Influence of data of enterprise’s financial statements on creating the effective management decisions

It is determined that when managing any enterprise in modern business conditions, it is sometimes difficult for its management to make certain decisions, because this process is accompanied by different information data flows, which are based on operational and reliable information reflected in the reporting. The essence of the financial statements of the enterprise is studied and the main legal bases of its regulation, organization and management in Ukraine are determined. Generalized qualitative characteristics that financial information must meet today to make adequate decisions by the company's management. Therefore, coordinated and organized information support determines the effective information service of an individual business entity, as well as its partners, competitors and consumers. It is revealed that the full satisfaction of the information needs of the latter becomes the main source of financial information when making various economic and social decisions. Thus, the company has the opportunity to reduce the cost of various resources, increase profitability and improve competitiveness in the target market. It is substantiated that comprehensive and sufficient financial information of the enterprise is formed on the basis of internal and external statistical reporting, namely on accounting and non-accounting sources. There is also a list of documents that are the main in the preparation of management reports of any modern enterprise. Attention is also focused on the fact that the data from the financial statements reflect information about all the property of the enterprise and the sources of its formation. It is determined that transparent and reliable information about all phenomena and processes that occur in the enterprise is of great importance for the preparation and adoption of management decisions.

Constitutional Protection of Personal Information Right under the Background of Big Data

With the rapid development of computer and information technology, big data has penetrated into all aspects of social life, under the background of economic globalization, the big data flow of information covers many matters such as human life behavior and social behavior, but the rapid development of big data is not without harm. On the one hand, big data has greatly facilitated human life, and on the other hand, it is also very easy to lead to the infringement and abuse of personal information of information subjects, the most powerful evidence is that in recent years there have been numerous incidents of leakage and abuse of personal information.

The Orbital Channel Resource Control on Non-Markov Priority Systems of Mass Service Basis. Part 2. Dispatch Method

The article develops a methodology for scheduling an orbital channel resource with operational priority assignment based on the calculation of the parameters of a non-Markov service model with a limited residence time of a request in the system, which differs from known methods in that it takes into account the priority of various network subscribers, taking into account the high dynamics of their movement and the average waiting time in the service system with priority in the allocation of the orbital channel resource of the satellite command-relay system. The analysis of the influence of service quality indicators of information data flows is carried out.It is shown that the developed method of priority scheduling makes it possible to meet the requirements for the quality of service. A complex of experimental studies was carried out, which showed the possibility of ensuring the required level of stability with the deterioration in difficult conditions of radio electronic equipment, which made it possible to formulate practical proposals for improving the complex of coordination and distribution of resources of in the satellite command relay system.

ИДЕНТИФИКАЦИЯ УЯЗВИМОСТИ СОСТОЯНИЙ ПРИРОДНО-ТЕХНИЧЕСКИХ ОБЪЕКТОВ НА ОСНОВЕ ЛИНЕЙНОЙ СПЛАЙН-ИНТЕРПОЛЯЦИИ ИНТЕНСИВНОСТИ ИНТЕРФЕЙСНОГО ТРАФИКА

The method of application of spline interpolation in solving the problems of identification of abnormal states (A-events) in information data flows and classification of the specified events in the control of natural and technical objects (PTO) is considered. The approach is based on the representation of the intensity of interface traffic by piecewise linear splines and implemented using a modeling stand. At the first stage, descriptions are generated and formed in the form of linear splines representing the states of controlled objects, one of which is subject to external disturbance. At the second stage, the generated descriptions of splines are used to assess discrepancies between the studied distributions and the influence of a number of factors on the reliability of decisions made using probabilistic modeling methods in the Anylogic environment.

Ранговый классификатор состояний природной среды

An approach to the multivariate classification of the states of natural-technical objects and systems is considered, based on the development of methods for dynamic detection of anomalies in information data flows. The approach is based on an estimate of the statistical discrepancy between the probability distributions of random variables over variably changeable time intervals, as well as an estimate of the probabilities of errors of the first and second kind. The structure of a multichannel software and measurement complex for detecting anomalous states of PTO and PTS is proposed, and the results of model calculations are presented. The use of the multivariate approach allows optimizing the processes of processing, analysis and integration of heterogeneous data, as well as increasing the sensitivity, reliability and efficiency of decisions.

Design of a telemedicine system for the provision of primary health care (PHC) services

Currently, technological progress has allowed health-related issues to be worked on collaboratively, expanding their learning, managing to provide health services in remote places, guaranteeing one of the fundamental rights of every human being, among these technological advances are Telemedicine stands out, which has been playing a leading role especially in these times of pandemic. For this reason, the objective of this research is to design an information system that integrates multiple technologies to support the provision of primary health care services. The research is descriptive and technological development in scope. As a final result, block diagrams and flow diagrams were obtained to represent the set of technologies to be used and the information data flow of the proposed system. It is concluded that the proposed system would facilitate the provision of health services in areas with or without internet connectivity, as well as support decision-making by executives of health organizations, in addition, telemedicine is a new technological trend for what projects like this allow Colombia to be at the forefront in health and technology issues.

Integrity of information data flow in meteor communication networks

The paper considers the issues of ensuring the integrity of the flow of information messages between remote objects and identification of the data transmission channel, interrupted randomly by fragmentation-defragmentation processes of this flow as a result of the stochastic appearance and disappearance of traces from meteors burning in the ionosphere, which are used as passive repeaters of VHF radio signals that carry out energy contact between correspondents of a computer network. The problem is posed to implement an algorithm for discontinuous transmission of a continuous data stream over a meteor communication network without distortion and loss of transmitted messages without the inclusion of redundant signs, which contributes to a more rational use of the limited telecommunication resource of the meteor communication network. It is shown that to ensure a reliable exchange of information data between remote infrastructure facilities of the Northern Sea Route, a meteor trail can be used, which will provide a statistically stable connection with the fulfilment of the requirements for the probability of receiving false signs while maintaining the integrity of messages, provided that this type of communication between correspondents is discontinuous.

Deep mining of communication information association based on discrete Fourier transform

In order to better analyze communication information and improve the efficiency of communication information association mining, a discrete Fourier algorithm is proposed to extract association rules from information flow data with different time granularity. With the help of the MapReduce parallel programming model, a deep mining algorithm on the association of communication information is designed. Firstly, the data is linearly normalized, and the algorithm model of data depth mining is proposed according to the discrete Fourier transform. The data source uses the message middleware Kafka, and the intermediate results are stored in the memory database redis through the serialization technology. By using the structural information and comparison algorithm of the database, K pairs with the largest Pearson correlation coefficient are searched, association rules are mined, meaningless items are filtered out, construct an association deep mining model to realize rapid mining of association rules related to tasks. Experimental results and analysis show that the algorithm is efficient and stable in discovering association rules from high-speed information data flow, and supports different time granularity.

DATA SCIENTIST – ПРОФЕССИЯ НАСТОЯЩЕГО ИЛИ БУДУЩЕГО?

Modern society is characterized by rapid increasing the information volume and increasing its role in various fields of activity: economic, political, social and public ones. The rapid spread and introduction of information technologies, the growth of information data flow pose new challenges to the modern society. Global informatization dictates the need to form an infrastructure for processing and managing Big Data - an array of data, the processing of which requires special skills, knowledge and applications. The formation of the digital economy through the penetration of ICT and the digitalization of production processes contributes to the modernization of traditional industries, trade and procurement procedures, related financial and logistics operations, as well as markets with other sources of added value. Big Data as a new tool for analytics, forecasting and management decision making is becoming a leading asset and resource of the state, business and society as a whole. At the same time, the absence of physical boundaries in the digital space opens up access to big data for all participants in the global space. The national program “Digital Economy of the Russian Federation” is aimed at creating the necessary institutional and infrastructural conditions for the development of high-tech businesses, increasing the competitiveness of the national economy, the quality of life of citizens, and ensuring economic growth. One of the federal projects “Human Resources for the Digital Economy” is aimed at ensuring the training of highly qualified personnel for a modern society with high professional qualifications, skills and abilities to develop and introduce competitive products. Therefore, a Data Science specialist is a profession shaped by the needs of the Russian economy. In this regard, new challenges and methodologies for training IT specialists with the necessary knowledge and skills that meet the requirements of high-tech business are being formed.

The case of Patient Safety Indicator 12 (PSI12): use of administrative data to estimate the incidence of "Postoperative Pulmonary Embolism or Deep Vein Thrombosis". A pilot study in a General Hospital.

The AHRQ Quality Indicators (QIs) were created in order to both identify the performance and to track the improvement of patient safety. Patient Safety Indicator 12 (PSI12) is relative to the risk of Post Operatory Pulmonary Embolism or Deep Venous Thrombosis (PO DVT/PE). This pilot study has three main objectives. Firstly, to perform an analysis of the performance of different hospital wards by using administrative data; secondly, to analyze defects in the process that led to the occurrence of the adverse event; thirdly, reviewing the single PO DVT/PE. Data were extracted from a Hospital Information data flow (SIO) and compared to Clinical Discharge Record. PSI12 estimates were computed before and after the screening. Control Charts allowed the static analysis of performance between different hospital wards in 2014. The Ishikawa diagram was drawn for the analysis of the underlying causal process. The number of PSI12 cases provided by DRGs through SIO data flow decreased from 45 to six after the comparison with the correspondent clinical records. Four clinical records provided full information allowing the analysis of process. The Ishikawa Diagram identified the defects in the process of prophylaxis that resulted into a PO DVT/PE. The clinical records screening revealed a lower incidence of PO DVT/PE with respect to the DRGs statistics. Overall the PO DVT/PE occurrence in 2014 fell into the control limits, although the result could be undermined by the low quality of clinical records compilation. The failure in the prophylaxis procedure was imputable to pitfalls in the health care management and to the individual attitude towards patient safety procedures. In conclusion, the reliability and validity of administrative data in monitoring quality and safety are worthy to be explored in the context of further validation studies.

Human resource optimisation through semantically enriched data

The industrial domain is experiencing a so-called fourth industrial revolution in which the evergrowing complexity of manufacturing information, the increasing amount of knowledge and the use of web-oriented techniques, represent three crucial factors that are accelerating the growth of complexity of industrial systems. On the other hand, continuous-evolving requirements in industrial environments, due to technology outbreaks and a new global marketplace, have led to an on-going evolution of human resource management through the creation and adoption of alternative business models. In the past decade, semantic models such as ontologies have been proven to be effective for many knowledge-intensive applications, since they provide formal models of domain knowledge that can be exploited in different ways. For all these reasons, an innovative human resource optimisation (HRO) engine is introduced, which employs semantically enhanced information and conditional random field (CRFs) probabilistic models with knowledge derived from industrial shop floor level, and proposes the right person for the right job in real-time shop floor operations towards optimising decisions on how to implement and schedule either repeatedly or non-occurring tasks. Industrial information data flow and semantic enrichment were ensured through the combined use of a common interface data exchange model (CIDEM) and ontologies, after which a feasibility study at a chemical plant presented interesting preliminary results.

Students, earthquakes, media: does a seismic crisis make a difference?

<p><em>How do students use the big data flow of information form the Internet? What is their opinion and trust of scientists? How far is the influence of catastrophic earthquakes and environmental disasters on their opinion?</em><em> </em><em>In this study we present the results of a poll conducted on high school students (age 13-20) to assess young Italian citizens trust on geoscientists and theirs science. The sample of about 700 students is collected in areas prone to natural hazards from low to moderate intensity. The poll included only a very few questions to allow a fast compilation that could be held directly at school. Questions assessed the source from which information on catastrophes and natural phenomena is usually retrieved by the students, the </em><em>role of scientists in everyday life and scientists ethical integrity</em><em>. Although limited, this is the first poll of this kind and the collected up to now can be used for a rough picture of the present situation, compare results with recent disasters and project future results of on-going analysis. </em><em>All information will also help us in a future analysis to understand if and how much a recent earthquake or environmental local crisis can affect the perception. </em><em>Students do not completely trust that scientists are independent from outer urges. They also believe that media manipulate information with willful misconduct, to hide inconvenient realities or to get economic advantages. Answers from our Emilia sample of students were unexpected: they did not show any specific bias after the 2012 seismic sequence. They show less skepticism towards scientists and scientific integrity in comparison to students from other regions. This suggests that the perception towards science and scientists might be driven by cultural and social background and not necessarily affected by recent seismic crisis. In this perspective this on-going study will be challenged as soon as poll after the Amatrice 2016 seismic sequence will be awailable.</em></p>

Basic Concepts and Mathematical Aspects in Channel Coding: Multialternative Rules

The result of the research in this paper is a mathematical model of procedures of statistical rules to determine the possibility of using multialternative methods of decision-making in problems of decoding a full code structure. Rules and measures of information are defined, and decision thresholds are established in order to restore full information data flow.

Building information modelling and its effect on off-site construction in UK civil engineering

In 2011, the UK government mandated that, by March 2016, all public-sector construction projects would be undertaken within a three-dimensional building information model (BIM) environment. This has caused both construction procurers and providers to embark on a journey towards universal BIM adoption, including the integration of BIM within a revised construction process. In addition, off-site construction has seen significant development in the building sector in the past decade; however, in infrastructure, off-site constructionoff-site construction exploitation has been more limited. This paper presents findings from UK-focused research into how innovation initiatives such as BIM and off-site construction can and need to be considered together, thus allowing leaner design, a greater integration of lifetime project data and more novel technical solutions. Key themes that emerged from the thematic analysis of the interviews show the importance of configuration and interface management; information data flow; project management and delivery; procurement and contracts. The analysis outlines the benefits of utilising off-site construction within a BIM environment, the challenges currently facing the supply chain, and recommendations are made as to how best to implement the emergent benefits.

Publikationsmanagement – eine wichtige künftige Aufgabe an Hochschulen Wie sind Forschungsbericht, Institutional Repository und die Interessen des wissenschaftlichen Autors vereinbar? –

In universities the support of publication environments gets increasing relevance. The different interests are complex. Authors want to have comfortable working environments, university boards need information about research and libraries want to offer a convenient infrastructure. At the university of Kassel a pilot project (PUMA) was initiated, which tried to merge the different interests within a publication management system based on the needs of authors. Within PUMA the added value for the author lies in the availability of a social bookmarking system, the direct data flow of information into research reports and the input of metadata and files for repositories and publication directories.

Decision makers support system. Adapting the assistance to the decision maker's behaviour

Situations of distributed decision making are characterized by the existence of different points of view between decision makers (DM's), and by different temporal dynamics within the system, which reinforces importance of studies on information data flows between DM's, and is the basis of classical Distributed Decision Support System (DDSS) approaches. We propose not to limit the analysis of the situation (and consequently the role of the DDSS) to information flows, but to integrate cognitive modeling of each DM, and to use these latter to better analyze relevant information, in order to control it, within the flows exchanged. Our approach relies on an application framework concerning decision making in Maritime Surveillance.

CMOS MAPS with pixel level sparsification and time stamping capabilities for applications at the ILC

This paper is intended to discuss the features of a novel kind of monolithic active pixel sensors (MAPS) in deep submicron CMOS technology (130 nm minimum feature size) for use in charged particle trackers and vertex detectors. As compared to conventional MAPS with 3-transistor readout scheme, the design approach proposed here, where a deep N-well (DNW) is used as the collecting electrode, lends itself to pixel-level sparsified processing and is expected to provide the ability to manage the large data flow of information anticipated for future, high luminosity colliders. Lately, the applicability of the DNW-MAPS concept to the design of the vertex detector for future high luminosity colliders, like the International Linear Collider (ILC), has been investigated. This paper will discuss the design and performance of a recently submitted DNW monolithic sensor, the SDR0 (Sparsified Digital Readout) chip, including different test structures, where both analog (charge amplification and threshold discrimination) and digital (sparsification, time stamping) functions have been integrated inside the elementary sensor, as large as 25 μ m × 25 μ m .