An Integrated and Comprehensive Fuzzy Multi-Criteria Model for Electronic Wallet Selection

Electronic wallet(E-wallet),which combines software,hardware,and human interaction,is a modern platform for electronic payment.Financial services managers can create more effective strategies for advancing existing positions by evaluating the success of e-wallet services.The objective of this research is to create an integrated model for assessing E-wallet services using the Fuzzy Analytic Hierarchy Process(FAHP)in conjunction with a technique for extent analysis and the ARAS approach(Additive Ratio Assessment).In this study,E-wallet service providers are ranked and evaluated using the ARAS approach and the FAHP priority weights.In addition,a case study from Vietnam illustrates how the methodology is used.The data shows that perceived usefulness,perceived usability,perceived simplicity of use,and perceived threat have the least impact on how acceptable an Ewallet is.As a result,the suggested model improves the efficiency of E-wallet service operations and assists in overcoming the challenges associated with the evaluation of E-wallet services.The case finding demonstrates that the suggested model is a reliable and useful tool for making decisions when assessing E-wallet service providers functioning in a complex and changing environment.

Performance Analysis of Mixed Amplify-and-Forward and Decode-and-Forward Protocol in Underlay Cognitive Networks

In this paper, we propose and evaluate outage performance of a mixed amplify-and-forward(AF) and decode-and-forward(DF) relaying protocol in underlay cognitive radio. Different from the conventional AF and DF protocols, in the proposed protocol, a secondary source attempts to transmit its signal to a secondary destination with help of two secondary relays. One secondary relay always operates in AF mode, while the remaining one always operates in DF mode. Moreover, we also propose a relay selection method, which relies on the decoding status at the DF relay. For performance evaluation and comparison, we derive the exact and approximate closedform expressions of the outage probability for the proposed protocol over Rayleigh fading channel. Finally, we run Monte Carlo simulations to verify the derivations. Results presented that the proposed protocol obtains a diversity order of three and the outage performance of our scheme is between that of the conventional underlay DF protocol and that of the conventional underlay AF protocol.

A Novel Method for Resolving and Completing Authors' Country Affiliation Data in Bibliographic Records

Purpose: Our work seeks to overcome data quality issues related to incomplete author affiliation data in bibliographic records in order to support accurate and reliable measurement of international research collaboration(IRC).Design/methodology/approch: We propose, implement, and evaluate a method that leverages the Web-based knowledge graph Wikidata to resolve publication affiliation data to particular countries. The method is tested with general and domain-specific data sets.Findings: Our evaluation covers the magnitude of improvement, accuracy, and consistency. Results suggest the method is beneficial, reliable, and consistent, and thus a viable and improved approach to measuring IRC.Research limitations: Though our evaluation suggests the method works with both general and domain-specific bibliographic data sets, it may perform differently with data sets not tested here. Further limitations stem from the use of the R programming language and R libraries for country identification as well as imbalanced data coverage and quality in Wikidata that may also change over time.Practical implications: The new method helps to increase the accuracy in IRC studies and provides a basis for further development into a general tool that enriches bibliographic data using the Wikidata knowledge graph.Originality: This is the first attempt to enrich bibliographic data using a peer-produced, Webbased knowledge graph like Wikidata.

Investigation.of human visual cortex responses to flickering light using functional near infrared spectroscopy and constrained ICA

The human visual sensitivity to the flickering light has been under investigation for decades.The finding of research in this area can contribute to the understanding of human visual system mechanism and visual disorders,and establishing diagnosis and treatment of diseases.The aim of this study is to investigate the ffects of the flickering light to the visual cortex by monitoring the hemodynamic responses of the brain with the functional near infrared spectrosoopy(ENIRS)method.Since the acquired fNIRS signals are afected by physiological factors and measurement artifacts,constrained independent component analysis(eICA)was applied to extract the actual fNIRS responses from the obtained data.The experimental results revealed significant changes(p<0.0001)of the hemodynamic responses of the visual cortex.from the baseline when the flickering stimulation was activated.With the uses of cICA,the contrast to noise ratio(CNR),reflecting the contrast of hemodynamic concentration between rest and task,became larger.This indicated the improvement of the NIRS signals when the noise was eliminated.In subsequent studies,statistical analysis was used to infer the correlation between the NIRS signals and the visual stimulus.We found that there was a slight decrease of the oxygenated hemoglobin con-centration(about 5.69%)over four frequencies when the modulation increased.However,the variations of oxy and deoxy-hemoglobin were not statistically significant.

Hybrid Extragradient-Type Methods for Finding a Common Solution of an Equilibrium Problem and a Family of Strict Pseudo-Contraction Mappings

This paper proposes a new hybrid variant of extragradient methods for finding a common solution of an equilibrium problem and a family of strict pseudo-contraction mappings. We present an algorithmic scheme that combine the idea of an extragradient method and a successive iteration method as a hybrid variant. Then, this algorithm is modified by projecting on a suitable convex set to get a better convergence property. The convergence of two these algorithms are investigated under certain assumptions.

Chirped Bright and Kink Solitons in Nonlinear Optical Fibers with Weak Nonlocality and Cubic-Quantic-Septic Nonlinearity

This work focuses on chirped solitons in a higher-order nonlinear Schrodinger equation,including cubic-quinticseptic nonlinearity,weak nonlocal nonlinearity,self-frequency shift,and self-steepening effect.For the first time,analytical bright and kink solitons,as well as their corresponding chirping,are obtained.The influence of septic nonlinearity and weak nonlocality on the dynamical behaviors of those nonlinearly chirped solitons is thoroughly addressed.The findings of the study give an experimental basis for nonlinear-managed solitons in optical fibers.

Propagation Path Loss Models at 28 GHz Using K-Nearest Neighbor Algorithm

In this paper,we develop and apply K-Nearest Neighbor algorithm to propagation pathloss regression.The path loss models present the dependency of attenuation value on distance using machine learning algorithms based on the experimental data.The algorithm is performed by choosing k nearest points and training dataset to find the optimal k value.The proposed method is applied to impove and adjust pathloss model at 28 GHz in Keangnam area,Hanoi,Vietnam.The experiments in both line-of-sight and non-line-of-sight scenarios used many combinations of transmit and receive antennas at different transmit antenna heights and random locations of receive antenna have been carried out using Wireless Insite Software.The results have been compared with 3GPP and NYU Wireless Path Loss Models in order to verify the performance of the proposed approach.

Ultrasmall barium titanate nanoparticles modulated stretchable dielectric elastomer sensors with large deformability and high sensitivity

Large deformability and high sensitivity is difficult to be realized simultaneously in flexible sensors.Herein,taking advantage of the high permittivity and highly active surfaces of the ultrasmall barium titanate nanoparticles(BT NPs)and the high stretchability of the p(BA-GMA)elastomer matrix,we propose a high-performance soft stretchable sensor.The addition of the ultrasmall BT NPs can not only increase the permittivity and capacitance of polyacrylate-matrix composite dielectric material to obtain a high sensitivity,but also basically maintains the excellent mechanical properties of the polymer matrix.The dielectric constants of the composite films increase from 5.68 to 13.13 at 10 kHz with the increase of BT NPs content from 0 to 15 vol.%,which results in a high capacitance of 236.16 pF for 15 vol.%BT/p(BA-GMA)sensor.Combining the high permittivity and the large deformability(a maximal deformation of 87.2%),the 15 vol.%BT/p(BA-GMA)sensor has high sensitivity and shows high linearity and stable output even if under dynamic measurement.The dual-mode sensor that utilizes the orthogonality of capacitance-resistance is designed,which shows excellent performance in monitoring human body movements and noncontact measurement.The results present that the BT/p(BA-GMA)-based sensor has high stability and reliability not exceed 65C,which can meet the application requirements in dynamic monitoring.

Organic room-temperature phosphorescent polymers for efficient X-ray scintillation and imaging

Materials that exhibit visible luminescence upon X-ray irradiation show great potential in the medical and industrial fields.Pure organic materials have recently emerged as promising scintillators for X-ray detection and radiography,due to their diversified design,low cost,and facile preparation.However,recent progress in efficient radioluminescence has mainly focused on small molecules,which are inevitably associated with processability and repeatability issues.Here,a concise strategy is proposed to prepare radioluminescent polymers that exhibit multiple emission colors from blue to yellow with high brightness in an amorphous state by the radical copolymerization of negatively charged polyacrylic acid and different positively charged quaternary phosphonium salts.One of the obtained polymers exhibits excellent photostability under a high X-ray irradiation dosage of 27.35 Gy and has a detection limit of 149 nGy s^(−1).This performance is superior to that of conventional anthracene-based scintillators.Furthermore,by simply drop-casting a polymer methanol solution on a quartz plate,a transparent scintillator screen was successfully fabricated for X-ray imaging with a resolution of 8.7 line pairs mm^(−1).The pure organic phosphorescent polymers with a highly efficient radioluminescence were demonstrated for the first time,and the strategy reported herein offers a promising pathway to expand the application range of amorphous organic scintillators.

A Small-Divergence-Angle Orbital Angular Momentum Metasurface Antenna

Electromagnetic waves carrying an orbital angular momentum (OAM) are of great interest. However, most OAM antennas presentdisadvantages such as a complicated structure, low efficiency, and large divergence angle, which prevents their practicalapplications. So far, there are few papers and research focuses on the problem of the divergence angle. Herein, a metasurfaceantenna is proposed to obtain the OAM beams with a small divergence angle. The circular arrangement and phase gradient wereused to simplify the structure of the metasurface and obtain the small divergence angle, respectively. The proposed metasurfaceantenna presents a high transmission coefficient and effectively decreases the divergence angle of the OAM beam. All thetheoretical analyses and derivation calculations were validated by both simulations and experiments. This compact structurepaves the way to generate OAM beams with a small divergence angle.

Organic photoresponsive materials for information storage:a review

Organic photoresponsive materials can undergo various reversible variations in certain physical and chemical properties,such as optical properties,electrochemical properties,conformation,and conductivity,upon photoirradiation.They have been widely applied in various optoelectronic fields,especially in information storage.We summarize research progress on organic photoresponsive materials for information storage.First,the design strategies and photoswitching mechanisms for various kinds of organic photoresponsive materials,including small organic molecules,metal complexes,polymers,supramolecules,and cholesteric liquid crystals,are systematically summarized.These materials exhibit reversible changes of absorption and/or emission properties in response to different wavelengths of light.Subsequently,the applications of these organic materials in information storage,such as data(re)writing and erasing,encryption and decryption,and anticounterfeiting,are introduced in detail.Finally,the current challenges and future directions in this rapidly growing research field are discussed.The review will provide important guidance on the future works about the design of excellent organic photoresponsive materials for optoelectronic applications.