Cognitive Technology Research Articles

ASSESSMENT OF THE EFFECTIVENESS OF THE IMPLEMENTATION OF MANAGEMENT TECHNOLOGIES IN THE ENTERPRISE

The influencing factors on the use of new management technologies are identified and the relationship between the functional components of the process of introducing new management technologies and the factors affecting it is determined. Variations in determining the effectiveness of the implementation and use of management technologies in the company's activities are summarized. An analysis of the effectiveness of the stages of implementation of management technologies was carried out in accordance with the stages of their use. The results of the implementation of management technologies are clearly presented, taking into account the content of the implemented management technology and data on the implementation results. The work focuses on the conceptual characteristics of the principles of combining the functional information spaces of the enterprise in the context of the creation and management of knowledge as a value of the support system for making managerial decisions, therefore, the issue of applied methods and technical support of the complementarity of management technologies of various information spheres of business, taking into account their close relationship, requires further development communication and development of information and cognitive technologies. Keywords: management technologies, technological and managerial maturity, integration, effectiveness, management, enterprise readiness.

Cognitive technologies in smart city

Cognitive technologies in smart city

СИСТЕМНОЕ И КРИТИЧЕСКОЕ МЫШЛЕНИЕ: ФОРМИРОВАНИЕ И ПРИМЕНЕНИЕ К СЛОЖНЫМ УПРАВЛЕНЧЕСКИМ СИТУАЦИЯМ

The cognitive technology of supporting human intellectual activity in complex management situations is considered. The proposed technology includes the sequential iterative construction of conceptual models connected in a single cycle. The support of cognitive processes is expressed in the possibility of a gradual reduction of uncertainty and the formation of understanding of the essence and content of the complex situation under study by the subject of management. Through visualization of the key components of the situation, such characteristics of understanding as depth, clarity and completeness are formed. This technology contributes to the formation and application of systems and critical thinking.

Amazon's Artificial Intelligence in Retail Novelty - Case Study

Purpose: The provision of a method for thoughtful decision-making is the core purpose of artificial intelligence research and development. The primary goal of artificial intelligence (AI) is to give computers the ability to do intellectual tasks such as making decisions, solving problems, seeing their surroundings, and understanding human communication. Amazon is famous for using robots—roughly 30,000 of them—within its distribution centres. The company has gained mechanical autonomous organisation, which allows the robots to function independently. Kiva in 2012. Retailers can improve their demand estimates, make better pricing decisions, and optimise product placement with the aid of AI. The end result is that customers are connected with the proper products at the suitable time, in the appropriate place, and at the appropriate price. Utilizing predictive analytics may assist in determining the amount of a product that should be ordered to ensure that shops do not end up with either an excess or a shortage of inventory. Design/Methodology/Approach: The efficiency of our workplaces may be substantially improved by the use of artificial intelligence. When AI is utilised to do tasks that are boring or dangerous, human workers are given more time to concentrate on endeavours that need capabilities such as creativity and empathy, amongst other abilities. Artificial intelligence (AI) may be of assistance to a corporation in three different areas: the automation of corporate processes; the acquisition of insight through data analysis; and the interaction with consumers and staff. Findings/Result: As a result of AI, individuals will be freed up to focus on the 20% of non-routine jobs that account for 80% of the value they create. In the future, "intelligent automation of process change" (IAPC) will be used by smart machines to constantly examine and improve the whole process of a business's response to artificial intelligence. Automated and optimised everyday chores save your time and money and improves operational efficiency and productivity. The outputs of cognitive technology may help you make quicker business judgments and benefits the AI in the Workplace. Doing the same thing over and over again might take a toll on your workers' productivity. Automating and optimising these procedures will save you money. Employees will be able to concentrate on multiple areas at once, resulting in increased production. As AI processes data more quickly than humans, this leads to increased productivity. Originality/Value: It is essential to have a deeper comprehension of the differences between AI and human intelligence if we are to be adequately prepared for a society in which AI will play a much more pervasive role in our everyday lives in the foreseeable future. The process of reproduction is intricately connected to both biological and human intelligence. The advancement of artificial intelligence (AI) is significant for the reason that it paves the way for software to perform human activities and cost-effective than it was previously possible. Paper Type: Company Analysis.

Artificial intelligence-based decision-making algorithms, Internet of Things sensing networks, and sustainable cyber-physical management systems in big data-driven cognitive manufacturing

Research background: With increasing evidence of cognitive technologies progressively integrating themselves at all levels of the manufacturing enterprises, there is an instrumental need for comprehending how cognitive manufacturing systems can provide increased value and precision in complex operational processes. Purpose of the article: In this research, prior findings were cumulated proving that cognitive manufacturing integrates artificial intelligence-based decision-making algorithms, real-time big data analytics, sustainable industrial value creation, and digitized mass production. Methods: Throughout April and June 2022, by employing Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines, a quantitative literature review of ProQuest, Scopus, and the Web of Science databases was performed, with search terms including ?cognitive Industrial Internet of Things?, ?cognitive automation?, ?cognitive manufacturing systems?, ?cognitively-enhanced machine?, ?cognitive technology-driven automation?, ?cognitive computing technologies,? and ?cognitive technologies.? The Systematic Review Data Repository (SRDR) was leveraged, a software program for the collecting, processing, and analysis of data for our research. The quality of the selected scholarly sources was evaluated by harnessing the Mixed Method Appraisal Tool (MMAT). AMSTAR (Assessing the Methodological Quality of Systematic Reviews) deployed artificial intelligence and intelligent workflows, and Dedoose was used for mixed methods research. VOSviewer layout algorithms and Dimensions bibliometric mapping served as data visualization tools. Findings & value added: Cognitive manufacturing systems is developed on sustainable product lifecycle management, Internet of Things-based real-time production logistics, and deep learning-assisted smart process planning, optimizing value creation capabilities and artificial intelligence-based decision-making algorithms. Subsequent interest should be oriented to how predictive maintenance can assist in cognitive manufacturing by use of artificial intelligence-based decision-making algorithms, real-time big data analytics, sustainable industrial value creation, and digitized mass production.

Artificial intelligence systems and technologies - main drivers and catalysts of sustainable development in the conditions of industry 4.0

The Ukrainian Strategy of Artificial Intelligence Development was developed with such aspects as existing scientific establishments in AI field, high literacy rate, and yet limited financial resources taken into account. The information obtained from various ministries and institutions, in particular of such sectors as security, defense, science, education, various industries, marketing, logistics, demonstrates that without the introduction of artificial intelligence systems, further development of these sectors would not be effective. The approach to the development of breakthrough technologies in specific sectors and industries of Ukraine, in particular in the field of science and education, has been determined. The analysis of the available findings of fundamental, applied and experimental research on AI, which would ensure the development of breakthrough technologies has been performed. In unstable contemporary world, AI research domain grounds on fundamental scientific developments and methodologies, considering a fair amount of new challenges, therefore today we are in need of intelligent information and innovative technologies and systems, in particular artificial intelligence systems and technologies. The main scientific and technological driving force of the XXI century is the development of supertechnologies, namely: artificial intelligence, nanotechnology, biotechnology, mediotechnology, cognitive technologies, and human science technologies. However, it is important to take into account the principles of intellectualization, integration, convergence, coevolution, human science technologies. Moreover, it is crucial to formulate the terminology, definitions, principles of analysis and synthesis based on systemic and synergistic approaches, innovative, information, convergent technologies, taking into account the design of the viable, safe, and sustainable development against the backdrop of Industry 4.0.

Formation of professional and valuable orientations among future specialists of Technical High schools while studying the disciplines of the humanitarian cycle

The article analyzes and summarizes modern approaches to the formation of professional and valuable orientations among future construction workers during the study of humanitarian disciplines at the higher technical educational institution (as an example of the Donbas National Academy of Civil Engineering and Architecture). The authors substantiate the essence of the concepts “value”, “valuable orientations”, “professional and valuable orientations”, then clarify the content of the concept of “professional and valuable orientations of future specialists”, outline the methods and forms of the educational process, which ensure the formation of professional and valuable orientations among future specialists of construction specialties. The article emphasizes the idea that the study of humanitarian disciplines in the context of the formation ofprofessional and valuable orientations among future specialists should take into account three pedagogical conditions: an axiological approach, a system of pedagogical technologies (imitation learning methods, electronic educational tools, cognitive technology) and extracurricular work as well.

Modern Solutions to Improve the Energy Efficiency of Radio Lines for the Technical Renewal of Radio Stations of Integrated Communication Systems

Promising tasks for improving radio equipment with increased energy efficiency, related to in-depth preliminary study and efficiency research using the stand of the chief designer, are considered. Initially, a theoretical factor analysis of the interference radio terminal energy efficiency with respect to evenly distributed over the spectrum is given. The problem of choosing a variant of digital modulation and parameters of a noise-resistant code from the condition of obtaining the least energy for the transmission of one bit of information at a given error probability per bit and the level of spectral noise density is examined. With regard to broadband signals, energy-efficient linearly frequency-modulated signals are allocated. In the case of narrowband signals, cognitive technologies for improving energy efficiency for radio paths with partially filled spectrum, tuning radio lines to the 'windows of the best transparency' of the spectrum, are studied. Their importance for VHF radio lines and HF radio systems with tuning to the optimal frequency by regular ionosphere sounding is noted. The features of cognitive radio networks development to improve the energy efficiency of radio facilities are considered. The ways of algorithms design for modem and noise-resistant encoder energy effective tuning to a given radio line conditions for testing in the stand of the Chief Designer are discussed. Priority tasks for improving radio equipment with increased energy efficiency have been specified. Urgent specific subtasks for elaboration at the stand of the Chief Designer are highlighted.

ARTETETURISMO:

The social isolation caused by the post 2020 pandemic has changed the socio-technical paradigms, with implications for the form of enjoyment and sociability of the urban and natural space. This structural change that, at times, excessively encouraged, the dematerialization or temporalization of space, as in the school environment. Through new media and cognitive technologies, can also be an instrument for awakening socio-environmental awareness. What is proposed here is an (eco)tourist and educommunicative art methodology that points to the use of digital culture, re-appropriating imagination and collective memory as multimedia and hypertextual narrative tools for sharing invented and memorable ‘anthropo-topological’ experiences in historical cities in Brazil (Pirenópolis, Alto Paraíso, Cidade de Goiás). Thus, tries to create the phenomenological didactic bases of the concept of cultural landscape and territory, for the setting of the educational culture of tourism, development, communication and sustainable art.

Building the Cognitive Enterprise in the Energy Sector

Currently, emerging technologies support many problems arising in the energy industry. The “cognitive enterprise” concept, introduced by the IBM company, assumes that emerging technologies are used together with cognitive workflows to increase enterprise intelligence. The pursuit of enterprises from the energy sector to obtain the status of a cognitive enterprise requires the use of many emerging technologies, including cognitive technologies. Thus, the aim of the paper was to present the current state of research and identify the core components of the cognitive enterprise. To analyze the trends and challenges in scientific research development, the bibliometric approach was used. The analysis was made by means of the Web of Science and Scopus platforms; 70,177 records were retrieved. The results comprise the geographic distribution of research and the time analysis as well as the author and affiliation analysis. Additionally, descriptive statistics are provided. Consequently, the research milestones regarding the transformation of the traditional energy enterprise into the cognitive enterprise were defined. The findings of this research have supported the construction of the conceptual framework of the core transformation components for the cognitive energy enterprise. The study have several theoretical and practical implications. The proposed framework could be used to assess the level of readiness for transformation from the traditional to the cognitive energy enterprise. The discovered scientific gaps can constitute future research directions on cognitive enterprise concept.

Potential, concepts, and key advances for a ubiquitous adaptive indigenous microengineering and nanoengineering in 6G network

SummaryThe wireless communication is an integral part of the human life, which has been evolved from first generation (1G) to fifth generation (5G) where prime emphasis is on the enhanced mobile broadband (eMBB), ultra‐reliable low latency communication (urLLC), and massive machine type communication (mMTC). Further, we are working towards the sixth generation (6G) network where microtechnology and nanotechnology will play a key role to provide worldwide coverage, increased spectral/energy/cost efficiency, and improved intelligence and protection. This paper emphasizes on the prime enabling technologies that are enabled by the microengineering and nanoengineering in 6G framework to meet these needs. Started with the detailed study and analysis of 6G networks such as evolution from 1G to 6G and prime difference between 5G and 6G. Further, the potential 6G dimensions, architecture of microtechnology and nanotechnology designs, and key techniques required in 6G networks are explored in detail. Moreover, the role of cognitive technologies for development of micro‐ and nano‐perspective in 6G networks is presented. Furthermore, after discussing about the application areas, finally, the prime research challenges and potential future research directions are illustrated.

A Strategy for Enhancing English Learning Achievement, Based on the Eye-Tracking Technology with Self-Regulated Learning

Owing to the global promotion of e-learning, combining recognition technology to facilitate learning has become a popular research topic. This study uses eye-tracking to analyze students’ actual learning situations by examining their attention during the learning process and to provide timely support to enhance their learning performance. Using cognitive technology, this study can analyze students’ real-time learning status, which can be utilized to provide timely learning reminders that help them achieve their self-defined learning goals and to effectively enhance their interest and performance. Accordingly, we designed a self-regulated learning (SRL) mechanism, based on eye-tracking technology, combined with online marking and note-taking functions. The mechanism can aid students in maintaining a better reading state, thereby enhancing their learning performance. This study explores students’ learning outcomes, motivation, self-efficacy, learning anxiety, and performance. The experimental results show that students who used the SRL mechanism exhibited a greater learning performance than those who did not use it. Similarly, SRL mechanisms could potentially improve students’ learning motivation and self-efficacy, as well as increase their learning attention. Moreover, SRL mechanisms reduce students’ perplexities and learning anxieties, thereby enhancing their reading-learning performance to achieve an educational sustainability by providing a better e-learning environment.

КОНЦЕПЦІЯ ІНФОРМАЦІЙНО-КОГНІТИВНОГО СЕРЕДОВИЩА ЯК МЕТОДОЛОГІЧНА ОСНОВА ПРОФЕСІЙНОЇ ПІДГОТОВКИ МАЙБУТНІХ ПЕДАГОГІВ В УМОВАХ ДІЯЛЬНОСТІ ЗАКЛАДУ ВИЩОЇ ОСВІТИ

The article studies the issue of creation and productive functioning of the educational environment of a higher education institution, which is a resource in the formation of the future teachers’ professional competence and the creative activity style as essential characteristics of the pedagogical professionalism. The article aims to reveal the possibilities of the information and cognitive environment in the person’s professional formation and to substantiate the conceptual provisions of using its resources to ensure the quality of future teachers’ professional preparation for professional activities. The methods of analysis, modelling and interpolation of the environmental approach provisions to the construction of the informational and cognitive environment of the higher pedagogical education institution have been applied in the study. It has been shown, the information and cognitive environment is a set of conditions that ensure the productivity of future teachers’ professional and creative growth based on the use of various information sources and cognitive technologies that stimulate students’ mastery by professional competences, the development of their cognitive abilities and readiness to apply the resource opportunities of pedagogical design in creating an atmosphere of scientific research, working up of original programs and projects, the creative performance of professional functions. The functions of the informational and cognitive environment have been characterized. Among them: integrative function, which contributes to the influence of all environmental circumstances on the coordination of actors’ goals, motives, attitudes, aspirations and ways of interaction in the educational process; value-formative function, which is aimed at the formation of professional and pedagogical values; interactive function, which is ensuring the interrelation of the capabilities of the educational subjects and pedagogical design in creating a positive emotional atmosphere and psychological comfort; developmental function, which is aimed at shaping a creative activity style, and educational and upbringing function providing conditions for the formation the future teachers’ informational and cognitive readiness for productive pedagogical activity. The possibilities of the event-role situation have been established. It has been shown, an event-role situation is an important unit of the environment, a reserve for improving the quality of the educational process in the university and training competitive specialists for the pedagogical area capable of creative professional pedagogical activity. The pedagogical terms for the productivity of the information and cognitive environment in establishing emotionally favourable circumstances and psychological comfort for the development of students’ professional abilities, creative thinking, active professional position and a creative style of activity, have been reasoned. It has been emphasized that the factors of future teachers’ professional development are the guidance on professional and personal evolution, active participation in professionally orientated event-role situations and the educational dialogue as means of pedagogical interaction, cooperation and co-creation. It has been concluded that the information and cognitive environment affects the quality of the implementation of new requirements for pedagogical professionalism in the university education system, the formation of the main characteristics of the future teachers’ professional competence including its conceptual, instrumental, integrative, contextual, adaptive aspects and the ability for the interpersonal communication.

მცირე ბიზნესში ციფრული და კოგნიტური ტექნოლოგიების გამოყენების აქტუალურობა გლობალური პანდემიის პირობებში

მცირე ბიზნესში ციფრული და კოგნიტური ტექნოლოგიების გამოყენების აქტუალურობა გლობალური პანდემიის პირობებში

Dual Threshold Cooperative Sensing Based Dynamic Spectrum Sharing Algorithm for Integrated Satellite and Terrestrial System

In this paper, cognitive technology is introduced into the integrated satellite terrestrial system to realize the dynamic spectrum sharing of the system and improve the utilization rate of spectrum resources. To overcome the effects of low signal-to-noise ratio (SNR) and noise uncertainty in the channel, a dual-threshold cooperative sensing strategy based on energy detection is introduced. Spectrum sensing is considered as a binary hypothesis problem, but the uncertainty of noise interference in the integrated satellite terrestrial cognitive system will cause the perception to appear ambiguous. Moreover, the noise power varies with time and relative position within a certain range. In the fuzzy state, the perception technology adopts the equal-gain merging algorithm, and derives the voting optimization algorithm to improve the accuracy of decision-making. In addition, taking the minimum error probability as the optimization goal, the optimal adjustment of the adaptive double threshold is realized based on the equal-gain combining algorithm. The simulation results show that the spectrum detection accuracy under low SNR is improved, and the opportunity for terrestrial networks to share spectrum resources is increased.

THE ADAPTATION OF INDEPENDENT AUDIT PROFESSION TO THE DIGITAL ERA

Today, the independent audit profession has updated the auditor’s role from working among piles of paperwork to digital age. Unprecedented innovations in this area are cognitive technology (artificial intelligence), predictive analytics, workflow automation and smart digital hubs and electronic audit apps, eliminating boring and labor-intensive manual processes that are traditionally associated with an audit process. Moreover, these innovations can increase the quality of audit and provide more benefits for customers, auditors, investors and capital markets as a whole. On the other hand, in line with these developments, today's auditors should keep their professional knowledge and skills up-to-date in order to meet the challenges posed by the profession and should be able to follow the era closely. In addition to these, the COVID-19 pandemic has forced the audit industry to work remotely and strengthen its infrastructure with digital technologies. The full disclosure restrictions during the pandemic have pushed the audit industry for remote working. This study aims to highlight the innovations experienced by the audit profession and to identify the factors for those who are willing to work in the audit in the future. In addition, suggestions are made in order to achieve efficient and quality results in the face of positive situations such as technological developments that may occur in the audit sector in the future or negative situations such as global pandemics. This study contributes to the literature on emphasizing the need to transform audit services by integrating new technologies and enriching studies on audit quality.

Implementation challenges of blockchain technology in closed-loop supply chain: A Waste Electrical and Electronic Equipment (WEEE) management perspective in developing countries

ABSTRACT Closed-loop supply chain (CLSC) activities ensure flawless Waste Electrical and Electronic Equipment (WEEE) management by the usage of IoT and Blockchain technology (BCT) is proven as an effective and sustainable solution among developed countries. However, implementation challenges including data integrity, accessibility, and reluctance to change restrict the potential of these digital technologies in developing countries. Thus, to extend the existing literature, the study has relevance. Based on a systematic literature review, Best Worst Method (BWM) is used for determining the most critical BCT implementation barriers affecting WEEE. This study identifies the IoT-enabled BCT implementation issues in closed-loop WEEE management. This study examines the appropriate issues in the context of developing a legislative support system, ineffective database management, low understanding of cognitive technologies, and information security and privacy are the key concerns for BCT implementation in closed-loop supply chains. The model is an effort in the waste management domain for the transition of developing economies towards circularity.

Relationship between Skills and Efficiency of Learning Vietnamese by Cognitive Technology: A Case Study of Foreigners Student in Vietnam Universities

Since Vietnam is integrating internationally in all aspects of social life, more and more foreigners are learning Vietnamese. However, there are still very few quantitative studies on the effective teaching and learning of Vietnamese idioms. This study aims to fill the theoretical gap and provide more evidence on the relationship between skills and effectiveness in learning Vietnamese phrases. This study was conducted through a cross-sectional survey using purposeful sampling (n=100). The multivariate linear regression analysis technique is applied to prove the hypotheses. The R language is used to analyze research data. Research results show that problem-solving, general, and synthetic thinking skills have a positive and meaningful impact on the effectiveness of learning Vietnamese idioms. The results of this study continue to confirm the role of cognitive techniques in learning idioms as the results of previous studies.

No silver bullet: Cognitive technology does not lead to novelty in all firms

Cognitive technologies including artificial intelligence (AI) represent new ways for firms to create novelty, from finding hidden patterns in data to expanding combinatorial innovation options. All firms should be able to derive value from these approaches, but whether the impacts are felt equally remains unclear. This study sheds light on this dilemma by exploring whether different learning modes and knowledge integration mechanisms yield different innovation outcomes from cognitive technology use. For a representative sample of publicly listed Australian firms, data from a survey coupled with secondary financials reveals strong differences. Scientific and technology-based innovation (STI) firms benefit strongly, implying high-technology firms using codified knowledge can create and sustain an uneven competitive advantage. However, firms innovating by doing, using, and interacting (DUI) – such as service-based firms – yield incremental innovations. These firms may use cognitive technology to solve discrete problems and not for combinatorial innovation, an indication that the myopia of learning extends to the digital domain.

A Review on New Challenges in AI and Software Engineering

Artificial Intelligence (AI) has been around for a long time, but it's only recently become a mainstream concern. When it comes to cutting-edge research and development, At the moment, AI is at the top of the list. Over the next few decades, we will see a rise in the use of automated and cognitive technology. To be sure, this will occur. This study and related discourse focuses on identifying and discussing potential AI development inflection points. It also considers issues like technological unemployment, which could arise as a result of AI development in the future and affect job prospects in a wide range of industries. This paper also looks at the ethical and policy issues that might come up as AI gets better. Companies today need to be able to effectively manage both human workers and automated systems. There will be significant changes to software engineers' roles. Therefore, we need to reimagine the delivery of education so that it can prepare the next generation for a world with very different requirements than the one in which we currently find ourselves. Furthermore, there should be regulations in place. AI applications can only accurately represent a small, biased fraction of the world if only a few people have access to them. The work of researchers is important to make sure that AI is developed and used to help people and not to harm them.