Hasil untuk "Technological innovations. Automation"

K. Jayasankara Reddy

Mohamed Maktabi, Eugen Rusu

The objective of this paper is to carry out response analyses of eight floating wind turbines and compare them together; this is something that is not seen in previous research papers. From this perspective, this paper will compare the response offset regarding the motions of the six degrees of freedom of the respective floating wind turbines. The applied forces that these analyses consider come mainly from constant wind forces applied on the wind turbines’ blades, as well as forces from waves and currents. Different response offset values are considered and compared regarding the different constant wind speeds, as well as the different velocities of waves and currents. This paper also provides various innovative references related to floating wind turbine analyses and software. Validation and verification studies are left for future work due to the complexity of the data provided in this paper. However, some comparisons are made between the obtained analysis results and some external references. The mentioned external references unfortunately have floating wind turbines with different wind and wave environmental conditions, power capacities, and dimensional characteristics. The results of the constant wind dynamic analysis of the eight floating wind turbines studied in this paper have shown that the maximum surge, sway, and heave response offset corresponds to the DTU Spar 1 floating wind turbine. The maximum roll and yaw response offset corresponds to the INO-WINDMOOR floating wind turbine. The maximum pitch response offset corresponds to the WindFloat floating wind turbine. The aero-hydro-servo-elastic method was used in the Sima software to run the analyses. It is a time-domain dynamic analysis, and it uses meters [m] and degrees [°] to describe the response offsets of the different floating wind support structures studied in this paper.

Radovan Bačík, Veronika Loumova, Štefan Gavura et al.

This study intends to use neuroscience tools such as eye tracking and facial expression analysis to further explore Generation Z's emotional responses to negative stimuli on social media. Particular emphasis is placed on negative emotions such as anger, contempt, fear, sadness and disgust and their impact on brand trust. The main objective of the research is to analyze how negative user-generated content (UGC) affect users' emotions, trust, and willingness to share content while also examining brands' strategies for responding to this content. With the increasing importance of digital marketing, understanding these emotional responses is crucial for brands to refine their online communication strategies and strengthen consumer trust. The findings of our study indicate that brand feedback does not mitigate the impact of negative emotions from negative UGC. Although most negative emotions did not have a statistically significant impact on trust and intention to share a post, we found that when it comes to trust, there is a noticeable mitigation of the impact of negative emotions. The emotion of disgust was significant for intent to share, and we observed a strong positive relationship between trust and intent to share the post further.

Alicia de la Torre, Iván De la Vega

In a dynamic global context towards digitalization, and with increasing social demands, companies face the challenge of remaining competitive. This study empirically validates the relationship between dynamic capabilities (digital orientation, digital capability, and willingness to change), responsible innovation, and competitiveness by integrating them into a competitive and sustainable model. This model allows companies to identify innovation strategies for sustainability that are aligned with the concept of innovability. Guided by the dynamic capabilities theory for achieving a sustainable competitive advantage, this study applies a structural equation model using data from 216 private Ecuadorian technology companies. The results validate responsible innovation as a mediator between digital innovation and competitiveness and confirms dynamic capabilities as key facilitators of digital and responsible innovation and their joint impact on competitiveness. This research contributes to business practice highlighting the need for companies to redefine their digital innovation management strategies aligned with the Sustainable Development Goals (SDGs).

Tsvetana Stoyanova, Kiril Anguelov

The aim of the current study is to understand the opinion and attitude of students and university professors about the quality of the learning process of these three forms of education – traditional, online and blended/ hybrid and in general their attitude of using new technologies in learning process of the universities. We conducted an empirical study (n=427) among university pro-fessors (31) and university students (396). Our findings reveal that students and university professors express preference for blended/hybrid type of education, comparing to traditional face-to-face or online education. 47% of respondents prefer blended/ hybrid learning over traditional (41%) or online (12%). Blended/ hybrid learning process receives the largest acceptance for the following advantages: personal attention from the professors; improved communication and flexibility and convenience. At the same time, 66% of respondents are convinced that new technologies have positive (31%) and even very positive (35%) impact on their motivation to learn. This result clearly proves the need for deeper integration of the new technologies in the educational process in universities.

Dainius Genys

The passionate debate prevails in Lithuanian public discourse about the results of individuals in subjects such as mathematics, the Lithuanian language, etc., but very rarely about pupils' humanity and readiness to become independent members of society. The educational shift to distance learning (during the pandemic) has changed the whole structure of the educational process almost overnight, and such symbolic elements as the authority, status, order and dignity of the teacher, as well as the sense of community, diminished. It is clear that distance learning has its advantages, but it also has its uncertainties, and the long-term consequences still need to be generally known today. The academic intrigue of this paper stems from the question of how the digitalization of education may affect civic education and its outcomes from a political sociology perspective. Drawing on Kavolis' model of psychological modernization, the paper seeks to identify the potential groups that emerge in the digitalization of education and rationalize their worldviews and civic action features. Framing the process of digitizing schooling within the classical political sociology framework will highlight the likely future profiles of civil society groups.

Kiet Hong Vo Tuan Truong, Anh Vu Thai Nguyen, Sang Minh Vo et al.

Sustainable consumption has received a lot of attention from many regions and countries around the world recently. This study investigates factors that influence consumers' sustainable consumption intentions in Vietnam. Despite the growing importance of sustainable consumption, marketing managers still lack adequate information on how to promote it to consumers. This study aims to address this gap by examining the impact of environmental knowledge, man-nature orientation, environmental advertising, and demographic factors such as income, major, degree, age, and gender on sustainable consumption intention. An online survey was used to collect data from 460 people in Vietnam. The data was processed using multivariate linear regression analysis, Cronbach alpha, ANOVA, and other methods to identify factors affecting sustainable consumption intentions in Vietnam. The results show that man-nature orientation and environmental advertising have a positive impact on sustainable consumption intentions. Furthermore, the study also found a strong relationship between environmental advertising and man-nature orientation as well as natural and environmental knowledge. In contrast, the study did not find a relationship between environmental knowledge and sustainable consumption intentions. These results provide theoretical and practical implications for marketing managers in developing effective communication strategies to promote sustainable consumption and encourage environmentally friendly consumption intentions.

Maksim Zharkov, Konstantin Veremeenko, Ivan Kuznetsov et al.

The susceptibility of global navigation satellite systems (GNSSs) to interference significantly limits the possibility of their use. From the standpoint of possible consequences, the most dangerous interference is the so-called spoofing. Simultaneously, in most cases of GNSS use, an inertial navigation system (INS) or an attitude and heading reference system (AHRS) is also present on the board of mobile objects. In this regard, the research goal is to assess the possibility of detecting GNSS spoofing in inertial satellite navigation systems. This paper examines the method for detecting GNSS spoofing by combining a pair of commercially available GNSS receivers and antennas with an INS or AHRS. The method is based on a comparison of the double differences of GNSS carrier phase measurements performed by receivers under conditions of resolved integer ambiguity and the values of the range double differences predicted using an INS. GNSS carrier phase integer ambiguity can be resolved using a strapdown inertial navigation system (SINS) or AHRS data. The mathematical model of GNSS phase difference measurements and the SINS-predicted satellite range differences model are given. The proposed algorithm calculates the moving average of the residuals between the SINS-predicted satellite range double differences and the measured GNSS carrier phase double differences. The primary criterion for spoofing detection is the specified threshold excess of the moving average of the double difference residuals. Experimental studies are performed using simulation and hardware-in-the-loop simulation. The experimental results allow us to evaluate the efficiency of the proposed approach and estimate the potential characteristics of the spoofing detection algorithm based on it.

Wen-Yu Wu, Jia-Yu Guo, Ying-Jing Li et al.

The popularity of the online teaching model increased during the COVID-19, and virtual reality online education is now firmly established as a future trend in educational growth. Human–computer interaction and collaboration between virtual models and physical entities, as well as virtual multi-sensory cognition, have become the focus of research in the field of online education. In this paper, we analyze the mapping form of teaching information and cue information on users’ cognition through an experimental system and investigate the effects of the presentation form of online virtual teaching information, the length of the material, users’ memory of the information, and the presentation form of information cues on users’ cognitive performance. The experimental results show that different instructional information and cue presentation designs have significant effects on users’ learning performance, with relatively longer instructional content being more effective and users being more likely to mechanically remember the learning materials. By studying the impact of multi-sensory information presentation on users’ cognition, the output design of instructional information can be optimized, cognitive resources can be reasonably allocated, and learning effectiveness can be ensured, which is of great significance for virtual education research in digital twins.

Alessandro Dell’Era

This Editorial is dedicated to a Special Issue focused on the development and optimization of innovative systems, processes and materials for the production, conversion and storage of energy [...]

Abdel-Fattah M. El-Sayed

Brijesh Patel, Bhumeshwar Patle

In the present scenario for the development of the unmanned aerial vehicle (UAV), artificial intelligence plays an important role in path planning and obstacle detection. Due to different environments, it is always a task to achieve the proper moment for achieving the target goal while avoiding obstacles with minimum human interference. To achieve the goal with the avoidance of obstacles, individual optimization techniques with metaheuristic algorithms such as fuzzy, particle swarm optimization (PSO), etc. were implemented in various configurations. However, the optimal solution was not attained. Thus, in order to achieve an optimal solution, a hybrid model was developed by using the firefly algorithm and the fuzzy algorithm, establishing multiple features of the individual controller. The path and time optimization were achieved by a standalone controller and a hybrid firefly–fuzzy controller in different conditions, whereby the results of the controller were validated by simulation and experimental results, highlighting the advantages of the hybrid controller over the single controller.

Ivita Faituša, Rasa Subačienė, Aida Mačerinskienė

Sanket N. Bhavsar, Anand Y. Joshi, Ketan M. Tamboli

Ruslan Yembergenov, Мaira Zharylkasinova