Factors Influencing Online Booking Trial Decision in Ho Chi Minh City, Vietnam

Online booking has turned out to be increasingly prominent technique to offer travel items and is generally acknowledged in created nations. In spite of the fact that this idea has been presented in Vietnam for as long as couple of years, there are half of air tickets is sold online right now. There are different looks into directed concentrating on the elements affecting individuals aim to receive online booking. Be that as it may, there are relatively few explores concentrate on the aim to attempt online booking. This expectation to attempt is vital since individuals perfer to attempt initially, at that point they will assess their trial encounter, subsequently, embrace or reject web based booking innovation. In this manner, this exploration accentuates on discovering factors that impact individuals goal to attempt web based booking. The overview has been created in view of serious survey of literary works identified with web based booking, internet shopping, selection hypotheses, purchaser practices. The surveys have been conveyed and the information has been handled utilizing SEM-PLS to decide the connection between factors that impact Vietnamese expectation to attempt web based booking. Therefore, this exploration is required to have noteworthy commitment in both hypothesis and common sense. As far as hypothesis, this examination effectively proviced the model that exhibit the goal to attempt web based booking which is once in a while talked about in past explores. In term of common sense, this exploration gives a general bits of knowledge of Vietnamese online booker trademark for online travel organization working in Vietnam keeping in mind the end goal to enhance their business execution. Keywords: online booking trial, e-commerce trial, vietnam tourism industry, e-commerce, triability

WORK MOTIVATION AND PERFORMANCE OF ADMINISTRATORS IN SEDLECTED PRIVATE UNIVERSITIES OF HO CHI MINH CITY, VIETNAM

This article discusses the determination of the work motivation of administrators in selected private universities of Ho Chi Minh City, Viet Nam. It stresses the profile of the administrators, the impact of work motivation, the administrators’ perception of work motivation and performance, and the problems faced by the administrators. The findings of the study consist of personal professional profile of the administrators, the administrators’ perception of work motivation and performance, the impact of work motivation, the influence of work motivation on the profile of the administrators, the influence of the level of work motivation on the impact, and common problems encountered by the administrators. Based on the research findings and conclusions, some recommendations are forwarded.  Article visualizations

Computational fluid dynamics analysis of airflow patterns around rotating cylinders in the drafting system of a vortex spinning machine

Akhtar, W. H., Watanabe, C., Tou, Y., Neittaanmäki, P. (2022). A New Perspective on the Textile and Apparel Industry in the Digital Transformation Era. Textiles, 2 (4), 633–656. https://doi.org/10.3390/textiles2040037  Bertola, P., Teunissen, J. (2018). Fashion 4.0. Innovating fashion industry through digital transformation. Research Journal of Textile and Apparel, 22 (4), 352–369. https://doi.org/10.1108/rjta-03-2018-0023  Erdumlu, N., Ozipek, B., Oxenham, W. (2012). Vortex spinning technology. Textile Progress, 44 (3-4), 141–174. https://doi.org/10.1080/00405167.2012.739345  VORTEX Spinning Machine. Murata Machinery. Available at: https://www.muratec.net/tm/products/vortex_spinning_machine.html Patel, P. C., Vasavada, D. A., Mankodi, H. R. (2012). Applications of electrically conductive yarns in technical textiles. 2012 IEEE International Conference on Power System Technology (POWERCON), 1–6. https://doi.org/10.1109/powercon.2012.6401374  Bhatti, M. R. A., Tausif, M., Mir, M. A., Umar, M., Cassidy, T. (2018). Effect of key process variables on mechanical properties of blended vortex spun yarns. The Journal of The Textile Institute, 110 (6), 932–940. https://doi.org/10.1080/00405000.2018.1532784  Pei, Z., Chen, G., Liu, C., Zhou, Q., Yu, C., Yang, J. et al. (2012). Experimental Study on the Fiber Motion in the Nozzle of Vortex Spinning via High-Speed Photography. Journal of Natural Fibers, 9 (2), 117–135. https://doi.org/10.1080/15440478.2012.683660  Zheng, S., Zou, Z., Shen, W., Cheng, L. (2012). A study of the fiber distribution in yarn cross section for vortex-spun yarn. Textile Research Journal, 82 (15), 1579–1586. https://doi.org/10.1177/0040517511431315  Zou, Z., Cheng, L., Xi, B., Luo, Y., Liu, Y. (2014). Investigation of fiber trajectory affected by some parameter variables in vortex spun yarn. Textile Research Journal, 85 (2), 180–187. https://doi.org/10.1177/0040517513509873  Shang, S., Sun, N., Yu, C., Chang, T., Li, M. (2014). Optimization of nozzle structure parameters of vortex spinning. Textile Research Journal, 85 (9), 998–1006. https://doi.org/10.1177/0040517514557308  Pei, Z., Yu, C. (2011). Numerical study on the effect of nozzle pressure and yarn delivery speed on the fiber motion in the nozzle of Murata vortex spinning. Journal of Fluids and Structures, 27 (1), 121–133. https://doi.org/10.1016/j.jfluidstructs.2010.08.007  Uyanık, S., Duru Baykal, P. (2017). Effects of fiber types and blend ratios on Murata Vortex yarn properties. The Journal of The Textile Institute, 109 (8), 1099–1109. https://doi.org/10.1080/00405000.2017.1408245  Senthilkumar, P., Kuthalam, E. S. (2015). Optimization of Spinning Parameters Influencing the Tensile Properties of Polyester/Cotton Vortex Yarn. Indian Journal of Fibre & Textile Research (IJFTR), 40 (3), 256–266. Available at: https://nopr.niscpr.res.in/bitstream/123456789/32194/1/IJFTR%2040%283%29%20256-266.pdf Yali, V., Akdoğanözü, R., Kalayci, Y. E., Göktepe, F. (2020). An Investigation of the Effect of Delivery Speed and Nozzle Air Pressure on Viscose. Tekstil ve Mühendis, 27 (117), 2–11. https://doi.org/10.7216/1300759920202711701  ANSYS Fluent. Available at: https://www.ansys.com/products/fluids/ansys-fluent ANSYS FLUENT 12.0 User's Guide. Available at: https://www.afs.enea.it/project/neptunius/docs/fluent/html/ug/main_pre.htm Aeronautics and Astronautics (1959). Proc. of Durand Centennial Conf

Secondary Network Throughput Optimization of NOMA Cognitive Radio Networks Under Power and Secure Constraints

Recently, the combination of cognitive radio networks with the nonorthogonal multiple access (NOMA) approach has emerged as a viable option for not only improving spectrum usage but also supporting large numbers of wireless communication connections. However, cognitive NOMA networks are unstable and vulnerable because multiple devices operate on the same frequency band. To overcome this drawback, many techniques have been proposed, such as optimal power allocation and interference cancellation. In this paper, we consider an approach by which the secondary transmitter (STx) is able to find the best licensed channel to send its confidential message to the secondary receivers (SRxs) by using the NOMA technique. To combat eavesdroppers and achieve reasonable performance, a power allocation policy that satisfies both the outage probability (OP) constraint of primary users and the security constraint of secondary users is optimized. The closed-form formulas for the OP at the primary base station and the leakage probability for the eavesdropper are obtained with imperfect channel state information. Furthermore, the throughput of the secondary network is analyzed to evaluate the system performance. Based on that, two algorithms (i.e., the continuous genetic algorithm (CGA) for CR NOMA (CGA-CRN) and particle swarm optimization (PSO) for CR NOMA (PSO-CRN)), are applied to optimize the throughput of the secondary network. These optimization algorithms guarantee not only the performance of the primary users but also the security constraints of the secondary users. Finally, simulations are presented to validate our research results and provide insights into how various factors affect system performance

Secondary Network Throughput Optimization of NOMA Cognitive Radio Networks Under Power and Secure Constraints

Recently, the combination of cognitive radio networks with the nonorthogonal multiple access (NOMA) approach has emerged as a viable option for not only improving spectrum usage but also supporting large numbers of wireless communication connections. However, cognitive NOMA networks are unstable and vulnerable because multiple devices operate on the same frequency band. To overcome this drawback, many techniques have been proposed, such as optimal power allocation and interference cancellation. In this paper, we consider an approach by which the secondary transmitter (STx) is able to find the best licensed channel to send its confidential message to the secondary receivers (SRxs) by using the NOMA technique. To combat eavesdroppers and achieve reasonable performance, a power allocation policy that satisfies both the outage probability (OP) constraint of primary users and the security constraint of secondary users is optimized. The closed-form formulas for the OP at the primary base station and the leakage probability for the eavesdropper are obtained with imperfect channel state information. Furthermore, the throughput of the secondary network is analyzed to evaluate the system performance. Based on that, two algorithms (i.e., the continuous genetic algorithm (CGA) for CR NOMA (CGA-CRN) and particle swarm optimization (PSO) for CR NOMA (PSO-CRN)), are applied to optimize the throughput of the secondary network. These optimization algorithms guarantee not only the performance of the primary users but also the security constraints of the secondary users. Finally, simulations are presented to validate our research results and provide insights into how various factors affect system performance

Robust Reflection Detection and Removal in Rainy Conditions using LAB and HSV Color Spaces

In the field of traffic monitoring systems, shadows are the main causes of errors in computer vision-based vehicle detection and classification. A great number of  research have been carried out to detect and remove shadows. However, these research works only focused on solving shadow problems in daytime traffic scenes. Up to now, far too little attention has been paid to the problem caused by vehicles’ reflections in rainy conditions. Unlike shadows in the daytime, which are homogeneous gray shades, reflection shadows are inhomogeneous regions of different colors. This characteristic makes reflections harder to detect and remove. Therefore, in this paper, we aim to develop a reflection detection and removal method from single images or video. Reflections are detected by determining a combination of L and B channels from LAB color space and H channel from HSV color space. The reflection removal method is performed by determining the optimal intensity of reflected areas so that they match with neighbor regions. The advantage of our method is that all reflected areas are removed without affecting vehicles’ textures or details

Throughput Optimization for NOMA Energy Harvesting Cognitive Radio with Multi-UAV-Assisted Relaying under Security Constraints

This paper investigates the throughput of a non-orthogonal multiple access (NOMA)-based cognitive radio (CR) system with multiple unmanned aerial vehicle (UAV)-assisted relays under system performance and security constraints. We propose a communication protocol that includes an energy harvesting (EH) phase and multiple communication phases. In the EH phase, the multiple UAV relays (URs) harvest energy from a power beacon. In the first communication phase, a secondary transmitter (ST) uses the collected energy to send confidential signals to the first UR using NOMA. Simultaneously, a ground base station communicates with a primary receiver (PR) under interference from the ST. In the subsequent communication phases, the next URs apply the decode-and-forward technique to transmit the signals. In the last communication phase, the Internet of Things destinations (IDs) receive their signals in the presence of an eavesdropper (EAV). Accordingly, the outage probability of the primary network, the throughput of the secondary network, and the leakage probability at the EAV are analyzed. On this basis, we propose a hybrid search method combining particle swarm optimization (PSO) and continuous genetic algorithm (CGA) to optimize the UR configurations and the NOMA power allocation to maximize the throughput of the secondary network under performance and security constraints