This paper proposes a method to predict fluctuations in the prices of cryptocurrencies, which are increasingly used for online transactions worldwide. Little research has been conducted on predicting price and number variety cryptocurrencies. Moreover, few methods proposed fluctuation currency inefficient because they fail take into account differences attributes between real currencies analyzes user comments cryptocurrency communities cryptocurrencies transactions. By focusing three each...

A practical route is introduced for synthesizing a sulfur-impregnated graphene composite as promising cathode material lithium–sulfur batteries. Sulfur particles with size of few microns are successfully grown in the interior spaces between randomly dispersed sheets through heterogeneous crystal growth mechanism. The proposed not only enables control particle active sulfur but also affords quantitative yields powder large quantities. We investigate potential use owing to its advantages...

In this paper, we present churn prediction techniques that have been released so far. Churn is used in the fields of Internet services, games, insurance, and management. However, since it has intensively to increase predictability various industry/academic fields, there a big difference its definition utilization. collected definitions business administration, marketing, IT, telecommunications, newspapers, insurance psychology, described their differences. Based on this, classified explained...

Modern technology offers many ways to enhance teaching and learning that in turn promote the development of tools for educational activities both inside outside classroom.Many programs using augmented reality (AR) are being widely used provide supplementary materials students.This paper describes potential challenges GeoGebra AR mathematical studies, whereby students can view 3D geometric objects a better understanding their structure, verifies feasibility its use based on experimental...

Abstract Introduction Although there are several reports of endoscopic findings the larynx and esophagus in laryngopharyngeal reflux (LPR) patients, little is known about correlation between change symptoms laryngeal esophageal mucosal after proton pump inhibitor (PPI) treatment. Objective The present study aimed to evaluate changes using transnasal esophagoscopy (TNE) PPI medication analyze their relationship LPR patients. Methods current prospective included 36 patients who complained...

Porous carbon spheres with hybrid pore structure have been designed as a promising conducting framework to be used in cathode material for lithium–sulfur batteries. By creating three-dimensionally interconnected micropores and mesopores, sufficient space sulfur storage, well electrolyte pathways, can secured the spheres. Sulfur is mainly confined mesopores diameters of few tens nanometers separated on mesoscopic domain, which advantageous enhancing charge transfer effectively accommodating...

The recent advances in the field of augmented reality (AR) have shown that technology is a fundamental part modern immersive interactive systems for achievement user engagement and dynamic experience. This survey paper presents descriptions variety new AR explorations, issues are relevant to contemporary development technologies applications discussed. Most literature regarding pertinent topics-taxonomy, core tracking sensing technologies, hardware software platforms, domain-specific...

This paper presents a new method for improving teaching aids with the design and development of chemistry education platform -the Mixed Reality (MR) Chemistry Lab.Our system provides educational experience in which students can simulate experiment virtual lab interact objects using Oculus Helmet-Mounted Displays (HMD) hand controller devices.The proposed aims to familiarize experimental procedures safety knowledge before conducting actual experiments.Moreover, will be able observe...

This paper describes graph-based Wave Function Collapse algorithm for procedural content generation. The goal of this system is to enable a game designer procedurally create key elements in the level through simple association rule input. To do this, we propose data structure that can be easily integrated with navigation mesh three-dimensional world. With our system, if user inputs minimum rule, it possible effectively perform generation experimental results show algorithm, which texture...

Recently, realistic sports games have been one of the growth industries indoor entertainment field. In particular, screen-golf, which is played indoors with real golf clubs and balls, has shown an outstanding rate in South Korea. It consists a sensor, computer graphics engine, interior, other elements. The sensor most essential component among them. measures initial conditions flying ball, velocity, horizontal angle, vertical angle. Until 2008, commercialized products were infrared LED type...

Abstract We propose a fast and effective technique to improve sub‐grid visual details of the grid based fluid simulation. Our method procedurally synthesizes flow fields coming from incompressible Navier‐Stokes solver vorticity generated by vortex particle for turbulence. are able efficiently animate smoke which is highly turbulent swirling with small scale details. Since this does not solve linear system in high‐resolution grids, it can perform simulation more rapidly. easily estimate...

In this paper, we present a method for predicting the value of virtual currencies used in gaming environments that support multiple users, such as massively multiplayer online role-playing games (MMORPGs). Predicting currency values environment has rarely been explored; it is difficult to apply real-world methods fluctuating or shares world on account differences domains between two worlds. To address issue, herein predict fluctuations by collecting user opinion data from community and...

This paper proposes an image generation method using a Multi Discriminator Generative Adversarial Net (MDGAN) as next 2D game sprite creation technique.The proposed GAN is Autoencoder-based model that receives three areas of information-color, shape, and animation, combines them into new images.This consists two encoders extract color shape from each image, decoder takes all the values encoder generates animated image.We also suggest processing technique during learning process to remove...

This study proposes an outlier detection system based on the visual-physiology multimodal data for a Korean reality TV show, “Perfect Paper.” The goal of this is to provide program production team and master ceremonies with real-time facial expressions bio-signal analysis results participants. Using information, can easily identify participants unusual behavior. We propose insole-type hardware that measures wearer’s skin conductivity, temperature, motion. also suggest dynamic time warp-based...

In this paper, we propose a method for automatically detecting the times during which game players exhibit specific behavior, such as when commonly show excitement, concentration, immersion, and surprise. The proposed detects outlying behavior based on players’ characteristics. These characteristics are captured non-invasively in general environment. cameras were used to analyze observed data facial expressions player movements. Moreover, multimodal from (i.e., regarding adjustments volume...

Deep embedded clustering (DEC) is a representative algorithm that leverages deep-learning frameworks. DEC jointly learns low-dimensional feature representations and optimizes the goals but only works with numerical data. However, in practice, real-world data to be clustered includes not features also categorical cannot handle. In addition, if difference between soft assignment target values large, applications may suffer from convergence problems. this study, overcome these limitations, we...