Wireless Powered Cooperative Relaying using NOMA with Imperfect CSI

The impact of imperfect channel state (CSI) information in an energy harvesting (EH) cooperative non-orthogonal multiple access (NOMA) network, consisting of a source, two users, and an EH relay is investigated in this paper. The relay is not equipped with a fixed power source and acts as a wireless powered node to help signal transmission to the users. Closed-form expressions for the outage probability of both users are derived under imperfect CSI for two different power allocation strategies namely fixed and dynamic power allocation. Monte Carlo simulations are used to numerically evaluate the effect of imperfect CSI. These results confirm the theoretical outage analysis and show that NOMA can outperform orthogonal multiple access even with imperfect CSI.Comment: 6 pages, 6 figures, accepted in IEEE GLOBECOM 2018 NOMA Worksho

The Capability of E-reviews in Online Shopping. Integration of the PLS- SEM and ANN Method

Purpose: The aim of this study is to investigate the impact of e-review on iGen's propensity to purchase online. Especially, it can be better understood by dissecting the relationship among 3 variables of e-review (review valence, quantity of e-review and quality of e-review), e-satisfaction, and intention to buy.   Theoretical framework: This study classifies e-reviews according to their valence, quantity, and quality based on the study of Khammash (2008).   Design/methodology/approach: The PLS-SEM method was used to analyze data collected from online surveys administered to a sample of 222 iGen in Ho Chi Minh City to assess the hypotheses behind the study. Additionally, the Artificial Neural Network technique was used to separate SEM predictors that were relatively important.   Findings:  There are three results from the investigation: It has been found that (1) e-satisfaction is positively affected by valence, (2) e-satisfaction is generally increased with the high quality of e-review, but the quantity of e-review does not necessarily affect customers' e-satisfaction, and (3) e-satisfaction given in the context of an e-commerce platform has a strong effect on customers' online shopping intention. This study sheds new light on iGen's online buying habits and offers valuable management implications for iGen, online merchants, and e-commerce sites.   Research, Practical & Social implications:  E-reviews have become a significant factor in determining consumers' online purchase decisions. They also assist iGen in understanding how a qualified e-review—one that is clear, understandable, helpful, and has enough justification to support the opinions—will be advantageous for other consumers who wish to shop online.   Originality/value:  Provides the theory of e-review and its role in the online business environment. In addition, understand more about the behavior of igen, an age with a huge amount of spending on an online shopping platform

Enabling non-linear energy harvesting in power domain based multiple access in relaying networks: Outage and ergodic capacity performance analysis

The Power Domain-based Multiple Access (PDMA) scheme is considered as one kind of Non-Orthogonal Multiple Access (NOMA) in green communications and can support energy-limited devices by employing wireless power transfer. Such a technique is known as a lifetime-expanding solution for operations in future access policy, especially in the deployment of power-constrained relays for a three-node dual-hop system. In particular, PDMA and energy harvesting are considered as two communication concepts, which are jointly investigated in this paper. However, the dual-hop relaying network system is a popular model assuming an ideal linear energy harvesting circuit, as in recent works, while the practical system situation motivates us to concentrate on another protocol, namely non-linear energy harvesting. As important results, a closed-form formula of outage probability and ergodic capacity is studied under a practical non-linear energy harvesting model. To explore the optimal system performance in terms of outage probability and ergodic capacity, several main parameters including the energy harvesting coefficients, position allocation of each node, power allocation factors, and transmit signal-to-noise ratio (SNR) are jointly considered. To provide insights into the performance, the approximate expressions for the ergodic capacity are given. By matching analytical and Monte Carlo simulations, the correctness of this framework can be examined. With the observation of the simulation results, the figures also show that the performance of energy harvesting-aware PDMA systems under the proposed model can satisfy the requirements in real PDMA applications.Web of Science87art. no. 81

Investigation on energy harvesting enabled device-to-device networks in presence of co-channel interference

Energy harvesting from ambient radio-frequency (RF) sources has been a novel approach for extending the lifetime of wireless networks. In this paper, a cooperative device-to-device (D2D) system with the aid of energy-constrained relay is considered. The relays are assumed to be able to harvest energy from information signal and co-channel interference (CCI) signals broadcasted by nearby traditional cellular users and forward the source’s signal to its desired destination (D2D user) utilizing amplify-andforward (AF) relaying protocol. Time switching protocol (TSR) and power splitting protocol (PSR) are proposed to assist energy harvesting and information processing at the relay. The proposed approaches are applied in a model with three nodes including the source (D2D user), the relay and the destination (D2D user), the system throughput is investigated in terms of the ergodic capacity and the outage capacity, where the analytical results are obtained approximately. Our numerical results verify the our derivations, and also points out the impact of CCI on system performance. Finally, this investigation provide fundamental design guidelines for selecting hardware of energy harvesting circuits that satisfies the requirements of a practical cooperative D2D system

Gendec: A Machine Learning-based Framework for Gender Detection from Japanese Names

Every human has their own name, a fundamental aspect of their identity and cultural heritage. The name often conveys a wealth of information, including details about an individual's background, ethnicity, and, especially, their gender. By detecting gender through the analysis of names, researchers can unlock valuable insights into linguistic patterns and cultural norms, which can be applied to practical applications. Hence, this work presents a novel dataset for Japanese name gender detection comprising 64,139 full names in romaji, hiragana, and kanji forms, along with their biological genders. Moreover, we propose Gendec, a framework for gender detection from Japanese names that leverages diverse approaches, including traditional machine learning techniques or cutting-edge transfer learning models, to predict the gender associated with Japanese names accurately. Through a thorough investigation, the proposed framework is expected to be effective and serve potential applications in various domains.Comment: This paper is accepted for presentation at ISDA'2

Investigating Mobile Payment Adoption During and After the COVID-19 Pandemic in Vietnam: An Imperative Analysis

This study investigates the adoption of mobile payment services during and after the COVID-19 pandemic in Vietnam, aiming to provide insights into the evolving landscape of digital transactions. Through surveys, interviews, and analysis of secondary data, the study examines adoption trends, demographic patterns, drivers, challenges, and future outlooks regarding mobile payment usage. Findings indicate a significant increase in adoption during the pandemic, driven by convenience, security, and promotional incentives. However, concerns over security and privacy persist, particularly among older demographics and rural populations. Recommendations include enhancing security measures, addressing demographic disparities, and fostering collaboration between stakeholders to promote sustainable adoption. Overall, this study contributes to understanding the dynamics of mobile payment adoption in Vietnam and provides actionable insights for stakeholders navigating the post-pandemic digital economy

Contra a corrupção e pela promoção do desenvolvimento socioeconômico no Vietnã atualmente mediante emenda de lei sobre aquisição de terras do Estado para o desenvolvimento socioeconômico para benefício nacional ou público

this article analyzes and evaluates Vietnam’s current legal provisions on State land acquisition for socio-economic development in the national or public interest. Since implementation, many legal loopholes have been revealed, such as large-scale land acquisition, “cheap” compensation for acquired property, and coercive land acquisitions. These have created additional opportunities for corrupt officials and enterprises with a close and mutually profitable relationship, putting the people whose land is to be acquired into difficulties and poverty. Amending the law to close these loopholes is necessary to combat corruption, ensure the interests of people whose land is to be acquired, and promote Vietnam’s socio-economic development.Este artículo analiza y evalúa las actuales disposiciones legales de Vietnam sobre la adquisición estatal de tierras para el desarrollo socioeconómico en beneficio nacional o público. Desde su aplicación, se han revelado muchas lagunas legales, como la adquisición de tierras a gran escala, la compensación "barata" por la propiedad adquirida y las adquisiciones coercitivas de tierras. Estas han creado oportunidades adicionales para funcionarios corruptos y empresas con una relación estrecha y mutuamente provechosa, poniendo en dificultades y pobreza a las personas cuyas tierras van a ser adquiridas. Es necesario modificar la ley para colmar estas lagunas, a fin de combatir la corrupción, garantizar los intereses de las personas cuyas tierras se van a adquirir y promover el desarrollo socioeconómico de Vietnam.Este artigo analisa e avalia as atuais disposições legais do Vietnã sobre a aquisição de terras do Estado para o desenvolvimento socioeconômico de interesse nacional ou público. Desde a implementação, muitas brechas legais foram reveladas, tais como a aquisição de terras em larga escala, a compensação “barata” por propriedades adquiridas e a aquisição coerciva de terras. Isso criou oportunidades adicionais para funcionários e empresas corruptas com um relacionamento próximo e mutuamente lucrativo, o que colocou as pessoas das terras a serem adquiridos em dificuldades e na pobreza. É necessário alterar a lei para encerrar essas brechas e para combater a corrupção, assegurar os interesses das pessoas das terras a serem adquiridas e promover o desenvolvimento socioeconômico do Vietnã

Factors affecting consumers' intention to shop online on TikTok social network in Ho Chi Minh City

Today's society is increasingly developing, leading to the improvement and advancement of technology, which has made the shopping needs of consumers more enhanced. The fact that consumers choose to shop online on e-commerce platforms is gradually becoming more popular and diverse. Especially not Shoppe, Lazada or Tiki but recently Tiktok is also gradually becoming a place for people to entertain, shop and it is quite popular. This creates a lot of opportunities and challenges as well as promotes the creativity and potential of businesses. Therefore, this study was created with the aim to find out and explore the factors affecting the intention to shop online on Tiktok of consumers in Ho Chi Minh City through the Public Acceptance Model Theory. Turmeric (TAM). The research method used is conditional sampling. A questionnaire will be used to collect data from consumers who often shop online to clarify the factors affecting their decision on Tiktok, namely Perceived usefulness (PUF), Perceived ease of use (PEU), Acceptance attitude (ACA), Consumer confidence (CCF), Subjective standards (SJS), Intention to use (ITU). The experts checked through the questions established through the face value and the content value to ensure the validity and reliability of the survey tool. The findings show the difference in the positive impact of surrounding factors on consumers' shopping intention on Tiktok social network in Ho Chi Minh City

What drives customer loyalty in social commerce sector? PLS-SEM approach

This study explores the factors influencing customer loyalty in social commerce, defined as the integration of e-commerce with Web 2.0 software and social technology. Despite the significance of customer loyalty in maintaining long-term competitive advantages, limited research has focused on this aspect within the context of social commerce. The aim of this study is to identify the key factors affecting customer loyalty in social commerce platforms. Data was collected through surveys from 218 social commerce customers in Ho Chi Minh City, Vietnam, representing various s-commerce platforms. The partial least squares approach was used to analyze the data. The results reveal that customer loyalty is positively influenced by trust and satisfaction. Additionally, service quality, reputation, perceived security, and customer feedback positively impact both trust and satisfaction. These findings contribute to the theoretical understanding of customer loyalty in social commerce and provide practical implications for social commerce managers. The study highlights the importance of fostering trust and satisfaction through various factors, such as service quality, reputation, perceived security, and customer feedback, to enhance customer loyalty