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Influence of AI-generated avatars on consumer trust in the brand
No full textArtificial intelligence is emerging in almost every aspect of consumer life, making AI-powered content generation a significant brand marketing tool. Avatars are one of the AI-powered tools that are changing the way consumers interact with brands. The market for avatars is growing rapidly, so the question of their use in brand marketing is becoming more and more relevant. This paper tries to find out what decisions of avatars created by artificial intelligence allow to influence consumer trust in the brand, and what influence avatars have in creating consumer trust. The article analyzes the theoretical aspects of the use of avatars in creating consumer trust in a brand. It was revealed that avatars create emotional and cognitive trust in users’ subconscious. The visual and audio elements of avatars can be elements of “reassurance” in users’ subconscious, thereby reducing the feeling of uncertainty and ambiguity and shaping perceived familiarity. Emotional and cognitive trust shape consumer experience, brand recognition, brand love and loyalty. Emotional trust in an avatar has a greater impact on consumers’ trust in the brand and thus on their purchase decision. Cognitive trust is related to the avatar’s role as an expert, while emotional trust is built through the avatar’s appeal to the user.Taip / Yes
Effect of glass processing waste content on concrete properties
No full textIn this study, a concrete was prepared using glass processing waste, which replaced a certain amount of cement. These experiments were conducted to determine how the amount of glass processing waste affects the properties of fresh and hardened concrete. The experiments used cement, sand, dolomite, chemical admixtures, water and glass processing waste. In the experiments the amount of cement was replaced with glass processing waste from 5% to 30%. For the fresh concrete mixture, density and air content were determined. For the hardened concrete density, compressive strength, flexural strength, and water absorption, were determined. From the tests, it was determined that when up to 20% of the cement was replaced with glass processing waste, the properties of the concrete improved. Based on all the results obtained from the study, it was concluded that the optimal amount of cement that can be replaced with glass processing waste is up to 20%
User value creation determinants in the subscription video-on-demand business model: a literature overview
No full textThe paper aims at documenting determinants that create user value in the subscription video-on-demand (SVOD) business model. It is a relevant topic to study due to increasing popularity of subscription business models and SVOD services; this was especially evident during COVID-19 pandemic. The authors performed an explorative scientific literature overview of this topic. The results show the eight main determinants that generate user value in the SVOD business model are the following: convenience and accessibility, genre and content diversity, content acquisition and creation, personalization and customization, quality and reliability, pricing and value proposition, branding and marketing, and technological advancements.Taip / Yes
Compensation for robot positioning errors applying the deep Q-learning algorithm
No full textDisertacijoje nagrinėjama robotų pozicijos klaidų problema. Pagrindinis tyrimo objektas yra mašininio mokymosi metodų panaudojimas roboto (ar robotinės sistemos) kinematiniams parametrams nustatyti ir klaidų kompensavimo metodui sukurti. Pagrindinis disertacijos tikslas – pasitelkiant mašininio mokymosi metodus sukurti robotinės sistemos, naudojančios inercinius jutiklius, trajektorijos tikslumo vertinimo sistemą, skirtą geriausioms sistemos kinematinių parametrų kompensacinėms reikšmėms nustatyti ir pritaikyti ją trajektorijos tikslumui įvertinti.
Disertacijoje sprendžiami trys pagrindiniai uždaviniai: taikant mašininio mokymosi qiliojo Q-mokymosi algoritmą sukurti metodą roboto kinematinėms klaidoms kompensuoti, sukurtą kompensavimo procesą realizuoti ir įvertinti jo efektyvumą.
Disertaciją sudaro įvadas, trys skyriai, bendrosios išvados, naudotos literatūros ir autoriaus publikacijų disertacijos tema sąrašai.
Įvadiniame skyriuje aptariama tiriamoji problema, darbo aktualumas, aprašomas tyrimų objektas, formuluojamas darbo tikslas bei uždaviniai, aprašoma tyrimų metodika, darbo mokslinis naujumas, darbo rezultatų praktinė reikšmė, ginamieji teiginiai. Įvado pabaigoje pristatomos disertacijos tema autoriaus paskelbtos publikacijos ir pranešimai mokslinėse konfe-rencijose bei disertacijos struktūra.
Pirmame skyriuje pateikiama mašininio mokymosi tipų ir algoritmų apžvalga, pristatoma mokslinėje literatūroje aptinkama roboto klaidų ir inercinių jutiklių panaudojimo robotikoje analizė. Skyriaus pabaigoje formuluojamos išvados ir tikslinami disertacijos uždaviniai.
Antrajame skyriuje pateikiamos roboto pozicionavimo klaidų tyrimo metodikos, analizė ir rezultatai. Aprašomi skirtingi roboto darbo režimai ir aplinkos veiksniai, darantys įtaką roboto padėties tikslumui.
Trečiajame skyriuje pateikiamas eksperimentinio tyrimo stendo aprašymas, mechanizmo roboto pozicijos klaidoms kompensuoti panaudojant giliojo Q-mokymosi algoritmą eksperimentinių tyrimų metodika ir gauti tyrimų rezultatai, leidžiantys įvertinti siūlomo mašininio mokymosi algoritmo robotinės sistemos (roboto) klaidoms kompensuoti efektyvumą.
Disertacijos tema publikuoti aštuoni moksliniai straipsniai: du – mokslo žurnaluose, įtrauktuose į Clarivate Analytics Web of Science duomenų bazės su cituojamumo rodikliu sąrašą; vienas – konferencijų medžiagoje, referuotoje Clarivate Analytics Web of Science duomenų bazėje, penki – žurnaluose, įtrauktuose į kitas tarptautines duomenų bazes. Disertacijoje atliktų tyrimų rezultatai buvo paskelbti trijose tarptautinėse mokslinėse kon-ferencijose Lietuvoje ir užsienyje.The dissertation deals with the problem of robot position errors. The main object of research is the application of machine learning methods to determine the kinematic parameters of a robot (or robotic system) and to create an error compensation method. The main goal of the dissertation is to create a trajectory accuracy assessment system for a robotic system using inertial measurement unit sensors, with the help of machine learning methods, to determine the optimal compensatory values of the system’s kinematic parameters and to apply that system to the robot for trajectory accuracy evaluation.
The dissertation addresses three main tasks: machine learning algorithms are used to create and propose a method to compensate for the kinematic errors of the robot, and to evaluate the effectiveness of the created machine learning process with a specific position and load of the robot.
The dissertation consists of an introduction, three chapters, general conclusions, a list of used literature and a list of the author’s publications on the subject of the dissertation.
The introductory chapter discusses the research problem and the relevance of the dissertation, describes the research object, formulates the purpose and tasks of the research, describes the research methodology, the scientific novelty of the dissertation, the practical significance of the dissertation results, and the defended statements. At the end of the introduction, the author’s publications and conference presentations on the subject of the dissertation are presented, as well as the structure of the dissertation.
The first chapter focuses on literature analysis. It provides an overview of machine learning types and algorithms, an analysis of robot errors and the use of inertial sensors in robotics in the scientific literature. The chapter closes with conclusions and clarifies dissertation tasks. The second chapter presents the methodology and analysis of robot positioning errors, as well as the methodology of compensating identified errors using machine learning. The third chapter provides the results of experimental studies, which allow for the evaluation of the effectiveness of the proposed machine-learning algorithm to compensate for robot errors.
Eight scientific articles were published on the subject of the dissertation: two in scientific journals included in the list of Clarivate Analysis Web of Science database with citation index; one in conference materials, referenced in Clarivate Analytics Web of Science database, and five in journals of other international databases. The research results were publicised at three international scientific conferences in Lithuania and abroad.Taip / Ye
Research on corporate strategic communication and management between China and Greece
No full textThe purpose of the study is to investigate the practices of the international corporate strategic communication and management of Chinese enterprises to improve the bilateral trade between Greece and China. The quantitative research design was chosen to provide an accurate outcome for the needs of our investigation. The data collection is held by the online distribution, of 101 questioners, through Google forms, completed by employees in various positions in Chinese enterprises. The research focused on different variables, such as social media usage, government and regulatory compliance. The research analysis gives a clear view of the differences between the models of corporate strategic communication and management utilized by the enterprises of the two countries, as well as suggestions for further adaptation of multi-platform approach to optimize the bilateral trade.Taip / Yes
Artificial intelligence: challenges and benefits for business
No full textThe paper aims to explore the benefits and challenges that artificial intelligence (AI) brings to business. The performed tasks are related to: (1) an a priori study of literary sources focused on the positive and negative impact of AI for business organizations; (2) an empirical study to establish the attitudes among business representatives in Bulgaria towards the application of artificial intelligence (AI). The results, from an empirical pilot study, show that the Bulgarian business representatives see the positives of AI, related to reducing time and money by automating routine processes and tasks, as well as in marketing customer data mining activities and in analysing the big data of the market. AI concerns focus on the need for: deep technical knowledge, upgrading existing software, continuous training, and reskilling of the workforce. There is no preponderance of fears or positive expectations.Taip / YesIThe Scientific Researches Fund of University of Ruse “Angel Kanchev”2024-BM-0
Possible improvements of corporate income tax in Latvia
No full textIn the European Union, most taxes are as equal as possible between member states within the interests of each member state. At the same time, some taxes can create a lot of competition between countries. Corporate income tax is a tax that affects competitiveness between member states, including Latvia, Lithuania and Estonia. It was especially relevant in 2023 and is becoming more and more relevant in 2024, when many international companies choose a country where to build their central office or production in the Baltic region or decide to continue or expand their presence in a given country.Taip / Yes
Biblioteka informuoja, 2024 Nr. 51 (695)
No full textNaujai į Web of Science ir Scopus įtrauktų Vilnius Gedimino technikos darbuotojų publikacijų sąrašai ir kitos bibliotekos aktualijos.51 (695)202
Monolitinės architektūros programų migracijos į mikroservisų architektūrą tyrimas
No full textMicroservice architecture is becoming the de facto industry standard for building new enterprise applications. According to the International Data Corporation, almost 90% of North American enterprises already use micro-service architecture to develop new and modernise legacy applications. Companies aiming to remain competitive have started modernising their legacy monolithic systems by decomposing them into microservices. However, extracting microservices from legacy monolithic software is an extremely complex task.
Although the topic of monolithic software migration into microservice architecture has already been explored by scientists and software engineers, it is a complex and relatively new challenge; therefore, little research exists on its many parts, such as database adaptation during the migration and communication establishment between microservices. Most research primarily focuses on microservice identification within monolith applications and source code decomposition into microservices. A new migration approach is proposed to bridge this gap. It consists of code decomposition and covers communication establishment and data management.
The dissertation consists of an introduction, four chapters, and general conclusions. The first chapter introduces microservice and monolithic architectures and discusses the existing migration from monolithic to micro-service architecture methods. In addition, three main parts are identified, and deeper research is provided for code extraction methods, communication between microservices, and data management. It also provides evaluation of existing methodologies for monolith decomposition into micro-services. The same enterprise application was decomposed into micro-services using three different methods. Based on the proposed evaluation criteria, the advantages and disadvantages of each decomposition method were determined. The second chapter presents the proposed approach for migrating legacy monolithic applications into microservices. The third chapter presents experimental research on possible communication technologies. Five communication technologies, such as HTTP Rest, RabbitMQ, Kafka, gRPC, and GraphQL, have been evaluated and compared using the proposed evaluation criteria. The fourth chapter presents an experimental evaluation of the proposed approach of monolithic database migration into multi-model polyglot persistence.
The dissertation’s results were published in 4 scientific publications, 2 of which were in reviewed scientific journals indexed in the Clarivate Analytics Web of Science database and presented at four international conferences.Mikroservisų architektūra tapo de facto pramonės standartu kuriant naujas taikomąsias programas. Tarptautinės duomenų korporacijos duomenimis, beveik 90 % Šiaurės Amerikos įmonių jau naudoja mikroservisų architektūrą naujai programinėj įrangai kurti ir senai programinei įrangai modernizuoti. Siekdamos išlikti konkurencingos, įmonės pradėjo modernizuoti savo monolitines programas, išskaidydamos jas į mikroservisus. Tačiau mikroservisų išgavimas iš senos monolitinės programinės įrangos yra labai kompleksinė užduotis.
Nors monolitinės programinės įrangos perkėlimo į mikroservisų architektūrą tema nagrinėta mokslininkų ir programinės įrangos inžinierių, tačiau tai yra palyginti naujas ir kompleksinis iššūkis. Daugumos tyrimų pagrindinis dėmesys skiriamas mikroservisams identifikuoti monolitinės programos išeities kode. O tokios temos kaip ryšio tarp mikroservisų užmezgimas ir duomenų bazės adaptacija yra vis dar mažai tyrinėjamos. Siekiant užpildyti šią spragą, siūlomas naujas perkėlimo metodas. Jį sudaro ne tik išeities kodo išskaidymas, bet ir ryšio užmezgimas tarp mikroservisų bei duomenų bazės adaptacija.
Disertacija sudaryta iš įvado, keturių skyrių ir bendrųjų išvadų. Pirmajame skyriuje pristatomos mikroservisų ir monolitinės architektūros bei aptariami esami migracijos iš monolitinės architektūros prie mikroservisų architektūros metodai. Papildomai išskiriamos trys pagrindinės perkėlimo dalys ir atlikti išsamesni tyrimai: kodo išgavimo metodų, komunikacijos tarp mikroservisų ir duomenų bazių adaptacijos. Pirmajame skyriuje taip pat tiriamos esamos monolitinės programinės įrangos skaidymo į mikroservisus metodikos. Ta pati programa buvo išskaidyta į mikroservisus, taikant tris skirtingus metodus. Remiantis pasiūlytais vertinimo kriterijais, nustatyti kiekvieno migravimo metodo privalumai ir trūkumai. Antrajame skyriuje pateikiamas siūlomas migracijos iš monolitinės architektūros į mikroservisų architektūrą metodas. Trečiajame skyriuje pristatomi eksperimentiniai komunikacijos technologijų tyrimai. Penkios komunikacijos technologijos, tokios kaip HTTP Rest, RabbitMQ, Kafka, gRPC ir GraphQL, buvo įvertintos ir palygintos pagal siūlomus vertinimo kriterijus. Ketvirtajame skyriuje pateikiamas siūlomas perkėlimo metodas ir eksperimentinis monolitinės duomenų bazės transformacijos į daugiamodelį poliglotinį modelį įvertinimas.
Disertacijos rezultatai buvo publikuoti 4 mokslinėse publikacijose, iš kurių 2 publikacijos, publikuotos žurnaluose, indeksuojamuose Clarivate Analytics Web of Science duomenų bazėje, ir pristatyti 4 mokslinėse konferencijose.Taip / Ye
Development of timber construction in European countries: Drivers, barriers, and education
No full textFor all of the European Union countries, the European Green Deal has set ambitious objectives to become climate neutral by 2050. The global challenge is to achieve prosperity and sustainable economic development while reducing energy consumption and greenhouse gas emissions. All economic sectors must take action in order to achieve this goal. The construction industry has a large impact on fulfilling Green Deal objectives since it is one of the biggest consumers of finite natural resources and energy, as well as one of the biggest producers of carbon emissions and waste. The construction sector is under pressure to find and use alternative, sustainable, eco-friendly building materials, such as timber. However, despite the numerous benefits of timber, construction with timber is still not sufficiently developed in European countries. The aim of the research was to determine the main drivers and barriers to timber construction development across selected European countries. In addition, the education of the specialists, skill gaps, and required competencies were tackled. The research was based on a literature analysis and a questionnaire survey of the business companies. Analysis revealed that timber has numerous environmental, social, and economic benefits compared to traditional building materials such as steel or concrete. Major barriers to timber construction development are a lack of knowledge and skills, as well as concerns regarding fire safety and structural stability. A survey revealed that business companies lack skilled staff. To overcome this barrier, education in sustainable timber design and construction must be improved