Knowledge-Based and Intelligent Information and Engineering Systems

Knowledge-Based and Intelligent Information and Engineering Systems

Inducing general functions from specific training examples is a central problem in the machine learning. Using sets of If-then rules is the most expressive and readable manner. To find If-then rules, many induction algorithms such as ID3, AQ, CN2 and their variants, were proposed. Sequential covering is the kernel technique of them. To avoid testing all possible selectors, Entropy gain is used to select the best attribute in ID3. Constraint of the size of star was introduced in AQ and beam search was adopted in CN2. These methods speed up their induction algorithms but many good selectors are filtered out. In this work, we introduce a new induction algorithm that is based on enumeration of all possible selectors. Contrary to the previous works, we use pruning power to reduce irrelative selectors. But we can guarantee that no good selectors are filtered out. Comparing with other techniques, the experiment results demonstrate that the rules produced by our induction algorithm have high consistency and simplicity.

Knowledge-Based Intelligent Information and Engineering Systems

Objective To improve the handover quality of instruments between operating room and central sterile supply department (CSSD) in special period. Methods The instrument recovery records between operating room and CSSD during special period, including weekends, holidays and night shifts from September to December 2016 and from September to December 2017 in Union Hospital of Tongji Medical College, Huazhong University of Science and Technology were collected. The records from September to December 2016 were assigned as control group, using artificial transition method. The records from September to December 2017 were assigned as intervention group, using using new intelligent information system. The quality of instrument handover and the incidence of adverse events were compared between the two groups. Results After using intelligent information system, the accuracy rate of records and the content of instrument package of the intervention group were both higher than those of the control group, and the differences were statistically significant (P<0.01) . The incidences of instrument loss, instrument defect, occupational exposure and problem traceability in the intervention group were lower than those in the control group, and the differences were statistically significant (P<0.01) . Conclusions The intelligent information system has good application effect on instrument handover between operating room and CSSD in special period. It can solve handover problem in time and can be popularized. Key words: Central supply, hospital; Intelligent information system; Surgical instrument recovery; Special time

To solve the problem of advanced digital manufacturing technology in the practical application, a knowledge engineering technology was introduced into the computer numerical control (CNC) programming. The knowledge acquisition, knowledge representation and reasoning used in CNC programming were researched. The CNC programming system functional architecture of impeller parts based on knowledge based engineering (KBE) was constructed. The structural model of the general knowledge-based system (KBS) was also constructed. The KBS of CNC programming system was established through synthesizing database technology and knowledge base theory. And in the context of corporate needs, based on the knowledge-driven manufacturing platform (i.e. UG CAD/CAM), VC++6.0 and UG/Open, the KBS and UG CAD/CAM were integrated seamlessly and the intelligent CNC programming KBE system for the impeller parts was developed by integrating KBE and UG CAD/CAM system. A method to establish standard process templates was proposed, so as to develop the intelligent CNC programming system in which CNC machining process and process parameters were standardized by using this KBE system. For the impeller parts processing, the method applied in the development of the prototype system is proven to be viable, feasible and practical.

The relevance of the program is to implement the client part with a chatbot, which makes the interface simple for the client and helps the administrator to obtain detailed statistics of client actions for further analysis. The intelligent e-commerce information system of the clothing brand uses a database and filters information that meets the user's request. The task of the project is to develop a software product that implements an algorithm that will allow you to select products and add them to the shopping cart. The software product consists of a chatbot and a web application. The chatbot is designed for customers and helps to view available products, select the required number of products and add these products to the cart, also provides an opportunity to view a list of all products in the cart. The web application is designed for the administrator, and allows you to edit content, track customer activity and view the shopping cart. During the completion of this thesis, development and research were conducted, as well as the implementation of a chatbot and a web application that provides information support in e-commerce of the clothing brand. The theoretical concepts of intelligent information system and e-commerce in general are studied and certain aspects that are essential for the topic of qualification work are described in more detail. Information on the basic parameters of the intelligent information system of e-commerce of the clothing brand is given, the analysis of classification and features of analogues is carried out. A comparative analysis of all existing software options to solve the problem and selected the most effective. The implementation of the information system used a functional approach in combination with object-oriented. JavaScript programming language and a number of closely related frameworks have been chosen for development. As a result of the last section, an intelligent information system for e-commerce of the clothing brand was created. The designed structure of the program, database was analyzed and the server part of the system was created. The main functions of the future system, the sequence of processes and the relationships between them are identified. Also analyzed and selected system and software tools needed to implement the tasks. A ready-to-use software product was developed.

Oil and gas will continue to play an increasingly important role in global economy development and prosperity for the upcoming years. However, a fact which sometimes is ignored is that the oil and gas industry is an intensive energy-consumption industry and a major contributor to greenhouse gas emissions as well. Recently, with the arrival of the “double carbon” era, the energy-intensive production of oil and gas has caused people to pay more attention. Currently, big data technologies as well as the Internet of things (IoT) are developing at a rapid pace, and the metering infrastructure technology also shows huge advancement; oil and gas companies have built many information systems and developed many functions to acquire the energy consumption and oil production data for the aim of reducing the oil production cost via the emerging information technologies, and it turned out that these investments do improve the energy efficiency and lower oil production cost. Unfortunately, due to the different development standards, some systems store the same data with different values; so, therefore, there is a “data barrier” among these systems and somehow discount the share and analysis of these data resources. To this end, in our work, based on these rich data resources from the other information systems, we discussed an intelligent energy management information system with four machine learning algorithms to enhance the analysis of data resources over energy consumption and oil production. First, we presented the innovation of energy consumption data fusion with the method “Data Lake”; then, four different machine learning algorithms: Support Vector Machine (SVM), Linear Regression (LR), Extreme Learning Machine (ELM), and Artificial Neural Networks (ANN) are installed in the proposed system for predicting the oil and gas production and total energy consumption. In order to aggregate these data into dashboard views that help managers make decisions about operations, we also demonstrated the process of energy consumption data visualization with emerging open-source software tool ECharts. Finally, a real life application of the proposed system was summarized in case of total energy consumption prediction and the system output shows good prediction accuracy which proves the feasibility and benefits of the intelligent energy management information system.

This book consists of 35 chapters presenting different theoretical and practical aspects of Intelligent Information and Database Systems. Nowadays both Intelligent and Database Systems are applied in most of the areas of human activities which necessitates further research in these areas. In this book various interesting issues related to the intelligent information models and methods as well as their advanced applications, database systems applications, data models and their analysis and digital multimedia methods and applications are presented and discussed both from the practical and theoretical points of view. The book is organized in four parts devoted to intelligent systems models and methods, intelligent systems advanced applications, database systems methods and applications and multimedia systems methods and applications. The book will be interesting forpractitioners and researchers, especially graduate and PhD students of information technology and computer science, as well more experienced academics and specialists interested in developing and verification of intelligent information, database and multimedia systems models, methods and applications. The readers of this volume are enabled to find many inspiring ideas and motivating practical examples that will help them in the current and future work.

Exploring and analyzing the effectiveness of an intelligent pacifying strategy information system based on assisted decision-making in reducing the sedation rate of children in short-duration magnetic resonance scans. A total of 125 children aged 3–5 years who underwent MRI scans at a children's hospital from July to December 2021 participated in this study, during which 62 children were assigned to a control group from July to September, and 63 children were assigned to an intervention group from October to December. In the intervention group, the pacifier used the intelligent pacifying strategy information system based on assisted decision-making to assess children's temperament, and utilization of a system-generated pacification plan according to assessment results. In the control group, the pacification plan was formulated by the pacifier based on their own experience and discussion with families of the participating children. The success rate of pacification, duration of pacification, and image quality of the two groups were compare. Compared with the control group, the intervention group had a higher success rate of pacification and lower duration of pacification, with statistically significant differences (P < 0.05). There was no difference in image quality between the two groups (P > 0.05). The intelligent pacifying strategy information system can help reduce the use of the sedative drugs in children aged 3–5 years who underwent a short-duration MRI scan.

In this chapter of the research, a method of processing various types of data in intelligent management systems of the network and server architecture of the internet of military equipment is proposed. The basis of this research is the theory of artificial intelligence, namely evolving artificial neural networks, basic genetic algorithm procedures, neuro-fuzzy expert systems, as well as bio-inspired algorithms. In the course of the research, the authors proposed:– a complex model of processing various types of data in intelligent decision-making support systems;– a method of processing various types of data in intelligent management systems of network and server architecture;– a method of increasing the efficiency of processing various types of data in intelligent management systems of network and server architecture. The use of methods of processing various types of data in intelligent management systems of the network and server architecture of the internet of military equipment:– to reduce the probability of premature convergence of the metaheuristic algorithm while processing various types of data in intelligent management systems of the network and server architecture of the internet of military equipment;– to maintain a balance between the speed of convergence of the metaheuristic algorithm and diversification while processing various types of data in the intelligent control systems of the network and server architecture of the internet of military equipment;– to take into account the type of uncertainty and noise of the data of the metaheuristic algorithm while processing various types of data in the intelligent control systems of the network and server architecture of the internet of military equipment;– to take into account the available computing resources of the system while processing various types of data in the intelligent management systems of the network and server architecture of the internet of military equipment;– to take into account the priority of search by swarm agents of the meta-heuristic algorithm while processing various types of data in intelligent management systems of the network and server architecture of the internet of military equipment;– to conduct an initial display of flock individuals taking into account the type of uncertainty;– to conduct accurate training of metaheuristic algorithms;– to conduct a local and global search taking into account the degree of data noise while processing various types of data in intelligent management systems of the network and server architecture of the internet of military equipment.

Integrating knowledge-based systems and databases

Purpose—The purpose of this research is to explore the direct relationship between the emotional intelligence of top management and the quality of strategic decisions they take for their companies. This relationship is further examined by the mediating role of open innovation in the context of intelligent information systems that can impact the way top managers take decisions. This research adopted a survey design as cross-sectional data were taken through questionnaires from top management of the UAE national banks. A final sample size of 213 questionnaires completed by managers was obtained and analyzed. As predicted, there was a strong, positive relationship between managers’ emotional intelligence and the quality of their strategic decisions. Open innovation has revolutionized the way top managers of banks take decisions that are later transformed into policies. Decision-makers are required to possess the skill of decision-making by being vigilant of their surroundings. Hence, they have emotional intelligence and intelligent information systems (IIS) only enhances the trait. IIS is the glorified version of open innovation that further contributes to the decision-making process and the quality of decisions. This research is one of a kind as no one has explored these dimensions of emotional intelligence in the UAE.

Introduction. Telerehabilitation is a complex of rehabilitation exercises and training programs provided to the patient remotely using telecommunication computer technologies, mainly at the outpatient stage of treatment. Telerehabilitation must be accompanied by appropriate software. The purpose of the work. To give an idea of the high-tech platform for telerehabilitation, which is being created at the Institute of Cybernetics named after V. M. Glushkov National Academy of Sciences of Ukraine. Methods. Work is being carried out under a project of the National Research Foundation of Ukraine, which is called «Transdisciplinary Intelligent Information and Analytical System for Supporting Rehabilitation Processes in a Pandemic (TISP)». The peculiarity of the system is that it is based on knowledge-oriented technology, ontological engineering and trans-disciplinary paradigm. The cognitive services of the system implement structuring. and classification. information, synthesize the necessary documents based on semantic analysis, identify the characteristic properties of information processes and provide support for decision-making at all stages of their life cycle. Results. The absence of specialized scales for functional assessment of the cardiorespiratory system, suitable for use during telereha-bilitation, was revealed. The proposed technology of objective functional assessment of the patient at home, based on the use of several portable devices and an innovative system for scaling small ECG changes. The technology was tested in the process of rehabilitation of patients with PTSD in the Center for Psychological Counseling and Trauma Therapy «Open Doors» as a means of control in the process of psychodiagnostics and psychotherapy. Conclusion. 1. Telerehabilitation is the most modern type of rehabilitation, which is rapidly developing. 2. The V. M. Glushkov Insti-tute of Cybernetics of the National Academy of Sciences of Ukraine is creating a transdisciplinary intelligent information and analytical system for supporting rehabilitation processes in a pandemic (TISP), based on cognitive information technology, which fully provides the process of analyzing large volumes of information resources. 3. The technology of objective functional assessment of a patient at home, based on the use of portable devices and an original ECG scaling system, is an important component of telerehabilitation. Key words: Telerehabilitation; Novel coronavirus disease COVID-19; Post-traumatic stress disorder; Intelligent information and analytical system; Functional assessment; Scaling of the electrocardiogram and heart rate variability.

Предметом вивчення в статті є процеси побудови пояснень щодо запропонованих інтелектуальною інформаційною системою рішень. Метою є розробка методу узгодження пояснень в інтелектуальній інформаційній системі з урахуванням обмежень, які визначаються базовими знаннями щодо об'єктів та процесів у предметної області. Завдання: структуризація процесу побудови пояснень з урахуванням обмежень, представлених знаннями щодо предметної області; визначення аспектів узгодження пояснення; розробка методу узгодження знань щодо пояснення та предметної області. Використовуваними підходами є: підходи до побудови пояснень, підходи до узгодження знань. Отримані наступні результати. Виконано структуризацію процесу побудови пояснень з урахуванням етапу узгодження знань. Виділено аспекти узгодження знань пояснення із вхідними даними в сенсі використання даних для тлумачення, із отриманим інтелектуальною інформаційною системою рішенням в сенсі узгодження з задачами користувача, а також із знаннями предметної області в сенсі обмежень для використання пояснення. Запропоновано метод узгодження пояснення із знаннями щодо предметної області. Висновки. Наукова новизна отриманих результатів полягає в наступному. Запропоновано метод узгодження пояснення із базовими знаннями щодо об'єктів та процесів у предметної області. Метод передбачає ітеративне виконання послідовності узгодження даних щодо процесу прийняття рішень в інтелектуальній системі із знаннями, що описують предметну область, перевірку узгодженості розробленого пояснення із множиною знань щодо предметної області, а також узгодження пояснення з результуючим рішенням інтелектуальної інформаційної системи. В практичному аспекті метод орієнтований на формування підмножини пояснень, що не протирічать базовим з знанням щодо предметної області. Пояснення у складі цієї множини у подальшому можуть бути упорядковані за критерієм ефективності, з урахуванням особливостей задач, для вирішення яких призначені сформовані інтелектуальною системою рішення

With the gradual maturity of geographical multimedia information system, applying geographical multimedia information system to urban intelligent traffic management information system and urban traffic sharing information platform can realize unified management and real-time update of traffic information. Through the urban traffic sharing information platform, it can increase the value of information. The multimedia information of the entire intelligent traffic management system can be stored, organized and processed by the shared multimedia information platform. It can more effectively ensure the correctness, comprehensibility and avoid redundancy of data relationships. Then it improves the utilization and transmission speed of multimedia information in the system. The urban traffic multimedia information management system has improved the use efficiency of urban road construction in China. And it also made the traffic multimedia information system more scientific and intelligent. It can also improve its management level and play an important role in urban traffic management. This paper first briefly analyzes the current traffic situation and the development of intelligent traffic multimedia information system in China. The basic concepts of GIS and urban intelligent transportation system based on GIS are introduced secondly. At last, the possibility about GIS as urban intelligent traffic management system sharing multimedia information platform is analyzed. The system framework and the basic function of GIS platform are put forward, and the application of GIS in urban traffic common information platform using the key technical support was discussed. It expounds the application of GIS in urban traffic common multimedia information platform.