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When the margins enter the centre: The documentary along the borders of Turkey and its YouTube comments as conflicting constructions of europeanity
No full textThis chapter uses a discourse-theoretical analysis to study two episodes of the documentary series Along the Borders of Turkey, produced and broadcast by the Dutch public broadcaster VPRO. In 2017, the VPRO web team uploaded these episodes on YouTube, which allowed viewers to comment on these episodes. Supported by a theoretical reflection on the Europeanity discourse and its contingencies, and on the hegemonic or semi-hegemonic articulations of this discourse (with a central role allocated to European benevolence), this chapter shows the discursive consequences of the material dislocations caused by different migration flows in Cyprus and in Greece. The chapter analyses how the episodes represent the contradictions between European benevolence on the one hand, and popular intolerance and the workings of the border apparatus on the other. The analysis of these episodes thus shows how Europe is discursively constructed through the ceaseless interactions and unresolved tensions between the centre and the margins, articulating a Europe of both benevolence and intolerance
Application of hierarchical agglomerative clustering with the TOPSIS method for evaluating the business environment in European countries during the post-pandemic period
No full textThe economic growth of any country relies significantly on its business environment and entrepreneurship, particularly after overcoming a crisis such as the COVID-19 pandemic. This research paper employs macroeconomic indicators to compare the business environment across European Union (EU) countries, integrating cluster analysis with the TOPSIS method. The results revealed distinct clusters in the European business landscape, highlighting Germany as having the most favourable environment due to regulatory reductions and innovation promotion. France and Italy represent another cluster with advanced industrial status, while Hungary stands out with competitiveness shortcomings, suggesting the overall business climate may not be conducive for enterprises.Taip / YesIThe Slovak Research and Development Agency Grant VEGAMetamorphoses and causalities of indebtedness, liquidity and solvency of companies in the context of the global environment1/0494/2
Comparison of building cooling capacities modelled in different ways using IDA ICE program
No full textStraipsnio tikslas – išsiaiškinti, koks pastato modeliavimo IDA ICE programa būdas leidžia apskaičiuoti tiksliausius vėsinimo galių ir poreikių rezultatus ir kokie yra pagrindiniai skirtingų modelių aspektai. Straipsnyje pristatomas administracinės paskirties pastato, statomo Lvivo g. 59, Vilniuje, modeliavimas. Tyrimo metu sukurti 3 energiniai pastato modeliai. Modelis Nr. 1 – geometrinis pastato modelis su visomis patalpomis. Modelis Nr. 2 – modelis su išskirtiniais aukštais ir tipiniu aukštu su visomis patalpomis, kuriamas naudojant „multiplication“ (liet. padauginimo) funkciją. Modelis Nr. 3 – modelis su išskirtiniais aukštais ir tipiniu aukštu, kurį sudaro viena skaičiuojamoji zona. Atlikus pastato energinį modeliavimą, gautos vėsinimo sistemos galios ir šilumos pritėkiai. Modelių Nr. 1 ir Nr. 2 rezultatai yra panašūs, skirtumas tarp jų nesiekia 10 proc., o modelio Nr. 3 rezultatai yra didesni nei kitų. Šilumos pritėkiai dėl žmonių ir tiekiamo šviežio oro kiekiai sąlygoja gaunamus rezultatus, kurių skirtumai iš dalies atsiranda dėl nežymiai pasikeitusio tipinio aukšto išplanavimo. Svarbiausias modelių palyginimo aspektas yra pikinė vėsinimo sistemos galia, kuri parodo tikrąjį skirtumą tarp modelių ir yra itin svarbi vėsinimo sistemos įrangos dydžiui nustatyti. Modelių Nr. 1 ir Nr. 2 pikinė galia skiriasi 6 proc., o modelių Nr. 2 ir Nr. 3 – 25 proc. Tai parodo, kad tiksliausi yra modelių Nr. 1 ir Nr. 2 duomenys.The aim of this paper is to investigate how the IDA ICE building simulation produces the most accurate results for cooling capacities and sub-needs, and what are the main differences between the models. The paper is based on an office building at 59 Lvivo Street, Vilnius, for which 3 models have been developed. Model 1 is a building with all the rooms, model 2 is modelled with exclusive floors and a typical office floor which is replicated using the multiplication function, model 3 is modelled with exclusive floors and the typical floor is created as a single area. The building simulation results in the power and heat gains per unit area of the building cooling system, which are highest in model 3. The results of models 1 and 2 are similar, with differences often less than 10%, and the difference in heat gains due to occupants or fresh air supply are due to the non-significant change in the layout of the typical floor. The most important aspect of the model comparison is the peak cooling capacity, which shows the real difference between the models and is crucial for the selection of ventilation system equipment. The difference in peak power between Models 1 and 2 is 6%, while between Models 3 and 2 it is 25%. This shows that the most accurate data is obtained for Models 1 and 2.Taip / Ye
The application of QFD and Kano model for the improvement of product document management
No full textWithin competitive markets, emphasizing customer satisfaction is crucial for a company’s enduring stability. This satisfaction lays the foundation for loyalty, strengthening the company’s financial resilience. Consequently, businesses must pinpoint the key elements contributing to customer satisfaction. While traditionally, Quality Function Deployment and the Kano model are utilised for product development and measurement of customer satisfaction, in this research, an unconventional application of Quality Function Deployment (QFD) and the Kano model for improving product quality document management will be demonstrated by identifying the most critical aspects of service quality from the customers’ point of view. The research employs several methods – literature overview, surveys, the Delphi method, action research, the application of Quality Function Deployment, and the Kano model. It has been concluded that although the processing of product quality documentation within one day has been identified as of utmost importance and the customers would appreciate it, at the same time, they would not be disappointed if this requirement is not fulfilled.Taip / Yes
A systematic literature review on perception, adoption, and investment decision-making in cryptocurrency markets: unveiling global trends and gaps
No full textThe research conducts a systematic literature review to critically analyse the complex interrelations among perception, adoption, and investment decision-making in the cryptocurrency markets. The study synthesizes global research findings, highlighting how investor perception and adoption patterns impact investment behaviour. Additionally, the review evaluates the methodologies utilized in existing studies, providing valuable insights into their strengths and limitations. This comprehensive analysis consolidates current knowledge in understanding the mentioned interrelations, identifies key gaps in existing research as numerous aspects remain unexplored and suggests potential directions for future studies, aiming to deepen the understanding of cryptocurrency market dynamics and enhance investment strategies.Taip / Yes
An Experimental Selection of Deep Neural Network Hyperparameters for Engine Emission Prognosis
No full textThis research presents results and discussion on prognostic deep learning models developed for the prediction of emission parameters of internal combustion engines. The resulting models were trained to predict various engine emission parameters from engine vibrations and the type of fuel used. To train and test the models, a dataset was created, where the input data was obtained from the measured engine vibrations at certain moments of time and the type of fuel used. Using obtained input data, the output data were calculated using a prognostic model. 162 models of multilayer perceptron network architecture were created and trained using different combinations of training parameters. The accuracy of each model was measured using the mean absolute percentage error and mean squared error metrics. The paper analyzes the influence of each selected parameter on the accuracy of the model. The best accuracy was achieved by a multilayer perceptron neural network model with 1 hidden layer and 50 neurons, which was trained for 20 epochs with a batch size of 16. The accuracy of the model on the testing dataset was 0.02161 and 0.00014, respectively, based on the mean absolute percentage error and mean squared error metrics.Taip / YesResearch Council of Lithuania (LMTLT)S-PD-22-8
Statistical indicators for the evaluation of violence against women
No full textViolence against women is a widespread phenomenon in Georgia. Therefore, determining statistical indicators for assessing violence is very important and necessary. The main goal of the research is to determine statistical indicators assessing violence against women in Georgia. The research methodology includes the use of statistical observation, grouping, and analysis methods. Conclusions: Violence against women remains an active problem in society. Psychological violence is common among different forms of violence. A large number of victims cite emotional excitement and societal influence as the provoking circumstances of violence. Based on legal regulations, the level of awareness about violence has increased. 24-hour hotlines are working. Statistics of victims of violence in shelters are also increasing. The population aged 25–44 prevails in perpetrators and victims.Taip / Yes
Biblioteka informuoja, 2024 Nr. 41 (685)
No full textNaujai į Web of Science ir Scopus įtrauktų Vilnius Gedimino technikos darbuotojų publikacijų sąrašai ir kitos bibliotekos aktualijos.41 (685)202
Biblioteka informuoja, 2024 Nr. 29 (673)
No full textNaujai į Web of Science ir Scopus įtrauktų Vilnius Gedimino technikos darbuotojų publikacijų sąrašai ir kitos bibliotekos aktualijos.29 (673)202
Adaptive Methods for Kernel Initialization of Convolutional Neural Network Model Applied to Plant Disease Classification
No full textConvolutional Neural Networks are instrumental in artificial intelligence, especially in image processing, where their ability to autonomously learn hierarchical features has led to significant breakthroughs. However, the success of these models is intricately tied to the judicious choice of hyperparameters, which include the configuration of convolutional layers, activation functions, and kernel initialization methods. This research explores kernel initialization methods in Convolutional Neural Network models, seven diverse initialization methods (Glorot Uniform, Ones initialization, Zero initialization, Constant initialization, Random initialization, HeNormal initialization, and Orthogonal initialization) are comprehensively compared. The primary objective is to showcase the sensitivity of Convolutional Neural Networks to these various initialization techniques. The study not only aims to reveal the nuanced impact of kernel initialization but also introduces an adaptive method to enhance model performance. By delving into the intricacies of initialization methods, this research contributes to the improvement of Convolutional Neural Networks effectiveness, especially in critical applications like Plant Disease classification.Taip / Ye