bluuebunny/crossref_metadata_2025_split huggingface dataset:
Recursive transfer-matrix method for second-harmonic generation in a one-dimensional nonlinear photonic crystal at arbitrary incidence angle
Authors: Threetanya P , Puttharaksa C , Plaipichit S , Buranasiri P , Wicharn S 
Published: January 2021

Abstract
In this paper, we derive a recursive transfer-matrix method (RTMM) and use the method to analyse the problem of second-harmonic generation (SHG) in a one-dimensional nonlinear photonic crystal (1D-NPC) under oblique incidence of fundamental-frequency (FF) wave and nondepleted pump approximation. This method is very simple and useful for determining SHG conversion efficiency at various incident angles of FF wave and thicknesses of nonlinear layer. The RTMM calculation results show that a maximum SHG conversion efficiency can be produced by the strong local FF field confinement in 1D-NPC due to optimal incidence angle and nonlinear layer thickness.
Using 5E inquiry for learning nested dielectrics objects rendering
Authors: Hiranyachattada T , Kusirirat K 
Published: January 2021

Abstract
Nested dielectrics refer to non-metallic objects which do not conduct electricity modelled within other non-metallic objects. It is a difficult problem to render in this situation, especially transparent objects. In 3D rendering, when nested dielectric objects need different physical rendering properties such as a glass of cola and ice for having realistic results from rendering, it can cause confusion in rendering and results in negative learning effects for students. In this research, we use 5E inquiry to teach nested dielectrics objects rendering. The assignment is given to the students to evaluate their understanding. We divide the rubric score into 3 parts: key concepts in physics of light absorption, refractive index followed by the 3D modelling approach, and finally, applying physics concepts for nested dielectric objects rendering. The results were analysed from students’ scores in each part. It is found that learning with this sequence, 20 percent of students can understand clearly, 68 percent partially understand and 12 percent misunderstand.
Electrical resistance meter in physics laboratory for engineers
Authors: Chaijum N 
Published: January 2021

Abstract
Electrical resistance meter is the key tool in physics laboratory such as electricity meter experiment or DC power band experiment. The aim of this research is to design and develop electrical resistance meter for using in physics laboratory and to find the efficiency of the electrical resistance meter that has been created. The sample are students of Department of Electromechanic Manufacturing Engineering, Bansomdejchaopraya Rajabhat University. The Arduino microcontroller board is used for controlling the electrical resistance meter and finding the electrical resistance meter values, we use the principle of voltage division for the calculation with 24 resistance values. It is explored that the electrical resistance meter can actually be usable with high accuracy, which divided into 3 parts: 1) the percentage difference and the display result of the electrical resistance meter does not exceed 2 percent when compared with the Fluke 115 multimeter, 2) the evaluation by experts found that suitability of the electrical resistant meter has the average score of 3.96 which is at high level and 3) the satisfaction evaluation from the students of the electrical resistance meter has the average score of 4.01 which was also at high level.
Euler-Milstein and relevant approaches for high-precision stochastic simulation of quantum trajectories
Authors: Wonglakhon Nattaphong , Suwanna Sujin , Chantasri Areeya 
Published: January 2021

Abstract
For quantum diffusive measurements, the system’s dynamics can be described by the Itô stochastic master equation, which works well for an infinitesimal time resolution. However, in practical quantum experiments, one cannot make a time step to be infinitesimal, as it can introduce correlation of noise in time, making the Markovian assumption invalid. On the other hand, increasing a time step can cause errors from non-commuting operations describing the system’s dynamics. We therefore consider implementing the Euler-Milstein and relevant approaches, namely the Itô map, the high-order completely positive map, and the quantum Bayesian, to simulate quajntum trajectory for a quantum system under diffusive continuous measurements. In particular, we numerically simulate trajectories for a qubit measurement in z basis. We show the comparison of individual trajectories and their averaged trajectories among these approaches. We find that the high-order completely positive map approach yields the most accurate averaged quantum trajectory. Furthermore, we also investigate the trace distance from true stochastic quantum trajectories, comparing the four approaches using the numerical simulation. We show that, for a realistic time resolution (as in a superconducting qubit, experiment), the high-order map does give the most accurate estimate of the qubit trajectories.
Maximum a posteriori path for open quantum systems
Authors: Noungneaw Tanawut , Suwanna Sujin , Chantasri Areeya 
Published: January 2021

Abstract
In this work, the Stratonovich stochastic differential equation is considered in the derivation of the maximum a posteriori path (MAP) for an open quantum system. We have derived the modified Onsager-Machlup (OM) function for a stochastic process, which plays an analogous role of the Lagrangian in the conventional classical mechanics. Variational method is applied to obtain the Euler-Lagrange equations. We show that the MAP trajectory is close to the quantum most-likely path obtained by Chantasri et al. [1], but in general not exactly the same. For an open quantum system subject to a no-knowledge measurement, both methods produce the same most-likely path. Numerical simulations for both the modified OM and the quantum most-likely path methods agree very well with theoretical predictions, regardless of the evolution time and different post-selected states.
Simulation of implementable quantum-assisted genetic algorithm
Authors: Supasil Jirayu , Pathumsoot Poramet , Suwanna Sujin 
Published: January 2021

Abstract
Quantum-assisted algorithms are expected to improve the computing performance of classical computers. A quantum genetic algorithm utilizes the advantages of quantum computation by combining the truncation selection in a classical genetic algorithm with the quantum Grover’s algorithm. The parallelism of evaluation can create global search and reduce the need of crossover and mutation in a conventional genetic algorithm. In this work, we aim to demonstrate and simulate the performance of an implementable quantum-assisted genetic algorithm. The algorithm was tested by using quadratic unconstrained binary optimization (QUBO) for 100 iterations; and the results were compared with those from a classical counterpart for 2000 iterations, where both simulations were performed over 100 repetitions. The results showed that the quantum algorithm converges to the optimal solution faster. While the variance is higher at early stage, it quickly and greatly reduces as the algorithm converges. The histograms of possible solutions consistently exhibits this behavior.
Generating function matrix for random walks on a simple ladder
Authors: Sasom S , Hengpunya V 
Published: January 2021

Abstract
We consider some basic properties of random walks on a simple ladder including the first and the second moments, the probability of returning to the starting site, the probability of ever reaching a given site, the conditional mean first-passage time to a given site and the expected number of distinct sites visited. These basic properties provide us a great deal of information about mobility, diffusivity and exploration of the random walker. We study these properties by using two different approaches, i.e., the Roerdink and Shuler’s approach and the direct generating function approach. Most of the results are identical to those for one-dimensional lattice except for a renormalization of coefficients.
Analysis and dynamics of the international coffee trade network
Authors: Sujaritpong Ookrit , Yoo-Kong Sikarin , Bhadola Pradeep 
Published: January 2021

Abstract
We employ network theory to study the structure, topology, and spectral properties of the coffee trade network. Data from the world trade organization is used to create a year-wise network of coffee trade from 1996 to 2017. More than 82% of world countries participate in the coffee trade network but only 3% of countries control more than 90% of international trade. The networks are very sparse operating at less than 10% of its efficiency. The coffee network shows scale-free behavior. Spectral analysis on the network is performed which shows that the eigenvalue dynamics of adjacency and Laplacian matrices can capture the crisis and stress period of the global economy.
Dynamics of interdependent multidimensional opinions
Authors: Noipitak S , Allen M A 
Published: January 2021

Abstract
In opinion dynamics, individuals in a group can change their opinions on issues as a result of connections to other individuals. Motivated by the DeGroot model, we proposed an extended DeGroot model which allows agents to revise their opinions on multiple interdependent topics. We introduce a coupling function which indicates couplings between opinions of multiple interdependent topics. This extended model allows us to choose a specific mathematical function to represent a specific situation. A model is presented which describes the dynamics of the opinions of individuals in a group on one topic by pooling their neighbors’ opinions and the influences of their own opinions on multiple topics. Different cases of coupling between agents opinions are investigated. Numerical results are provided that demonstrate how couplings between a number of issue specific opinions influence the convergence of opinions of agents in the network.
Ion-acoustic waves in non-isothermal electron distribution using particle-in-cell method
Authors: Pakdee Nuttapon , Phibanchon Sarun 
Published: January 2021

Abstract
We consider the ion-acoustic waves mode in plasma where electrons are consisted of free and trapped by ion-acoustic waves. The electron distribution for free and trapped electrons are the Maxwellian distribution function with the different temperatures. The system is considered as a one dimensional and simulates a collisionless, unmagnetized plasma. The Particle-In-Cell (PIC) method is applied to show the ion-acoustic oscillation as well as two-stream instability of this system.
An eco-friendly bioplastic film obtained from water hyacinth
Authors: Anantachaisilp S , Siripromsombut S , Ruansoong T , Kwamman T 
Published: January 2021

AbstractWater hyacinth is an invasive aquatic plant that causes adverse effects on the global environment. Due to high cellulose contents of water hyacinth, in this project aimed to covert water hyacinth to valuable raw materials for CMC-based bioplastic. Not only does the excess amount of water hyacinth reduces from natural water resources, but biodegradable CMC-bioplastic can also decrease the amount of plastic waste. Cellulose was extracted from water hyacinth followed by synthesis of carboxymethylcellulose (CMC) and preparation of bioplastic films, respectively. Gamma irradiation (1-10 kGy) was used to induce the crosslinking of CMC chains to improve the CMC bioplastic properties. The synthesized CMC from water hyacinth has comparable properties to the commercial CMC in that similar thermal stabilities, elemental components, and degradation mechanisms under controllable artificial weathering process. Further research regarding the role of CMC bioplastic derived from water hyacinth for food packaging would be promising applications.
Modifying surface properties of polysulfone membrane with plasma from closed and opened plasma generators
Authors: Kaew-on C , Sooksom A , Kaew-on S , Ruangdit S , Sirijarukul S , Chittrakarn T 
Published: January 2021

Abstract
Plasma jet has been widely used in the process of surface modification. However, the operation process often operates in an opened plasma jet system. This research investigated surface modification of flat-sheet polysulfone membrane by using three different types of atmospheric pressure cold plasma jet system that comprised of plasma jet in an opened system, in a closed system and in a closed with pump out plasma gas system. This research aims to improve surface wettability of membrane surfaces. The samples were irradiated with argon plasma in such three systems. The properties of the treated membranes were verified by measuring Water Contact Angle (WCA), Surface Energy (SE) and surface roughness. The results show that plasma jet in the closed with pump out plasma gas system provided the best results due to its lowest water contact angle, the highest surface energy and the highest surface roughness.
Microstructure and properties of arc sprayed Zn-Al alloy coatings
Authors: Kaewpradit T , Yutthakamthon D , Pongsaksawad W , Sheppard P , Koiprasert H , Banjongprasert C 
Published: January 2021

Abstract
In this study, zinc-aluminum alloy coatings were deposited on low carbon steel substrates by arc thermal spraying with different current and spraying distances. Optical microscope (OM) was used to characterize the deposited coatings. From the experiment, it is found that the samples that use different electric currents and spraying distances result in the different microstructure of the coating surfaces and different mechanical properties. The sample that uses higher current tends to have a higher hardness than the sample with a lower electric current at the same spraying distance.
Pair productions from gauge bosons collisions
Authors: Phatcharasirinawakun Worapon , Robkob Udom 
Published: January 2021

Abstract
Pair production is a process of creating a particle and its antiparticle from two gauge bosons collision. In this work, we suppose the pair production can occur from the collision between a spin-two graviton and a spin-one gauge boson. We focus on the electron-positron pair production between gravitons which is determined from the vielbein field and coupling to a photon in minimal coupling scheme. The collision cross section is evaluated and compared to those of the same creation types at the energy 0.71 MeV. We found that the total cross section of the graviton-photon interaction is less than that of photon-photon about 1041 times but that is greater than that of graviton-graviton about 1042 times.
Classification of Thorax X-ray Results on Corona Virus Infection Based on Internet of Things (IoT)
Authors: Noviasari L , Mashoedah  
Published: January 2021

Abstract
The spread of the corona virus in Indonesia is still growing until now. One important thing to note is about the handling of patients exposed to the coronavirus. This study aims to be able to classify thorax x-ray images against corona virus infection based on the Internet of Things (IoT). IoT is a concept of internet connectivity that is connected continuously between remote devices. This study uses a supervised learning method, namely directed learning in which the expected results of the user have been trained in advance and the information is stored in the system (database). The training data used is a Thorax x-ray image that is processed based on image processing with segmentation and edge detection based on the Sobel operator with real time connected to the internet. The results showed that the 100 times experiment obtained the accuracy value of the normal Thorax X-ray image of 94% and the Thorax covid-19 X-ray image of 96%. Overall system test showed 95% on target and 5% error.
The Internet of Things (IoT) as an Emerging Technological Solution for the Covid-19 Pandemic Mitigation: An Overview
Authors: Abubakari M S , Mashoedah  
Published: January 2021

Abstract
Currently, the whole world is facing the critical economy crash and enormous casualties as the ongoing coronavirus continues its intensive attack across the planet. Sadly, individuals in billions of numbers continue to face a constant threat from this contagious disease, with the condition unlikely to getting any improvement soon. In this paper, the aim is to provide an overview study of the current situation concerning the COVID-19 outbreak and the potential role of Internet of Things (IoT) as well as the associated technologies acting as technological solution in mitigating the outbreak. Thus, some potential literatures have been briefly reviewed for this paper as a research method. The review results indicate that, several technological solutions are innovated to deal with the COVID-19 pandemic effects. Digital technologies play a major role in the reformation of public health response towards the COVID-19 pandemic. Among digital technologies which have been at the front line include the IoT. Some examples and potential applications of IoT are discussed.
Evaluation of The Pasar Rebo Sport Building Lighting Systems
Authors: Subekti M , Rahardjo I A , Kurniawan R A 
Published: January 2021

Abstract
This study aims to evaluate the indoor sports field lighting system in the Youth Center of Pasar Rebo District and its compliance with the BS EN 12193: 2007 standards. This study uses an experimental method. Data was collected through direct observation on the aspects of arena construction, field size, illumination, dimensions of light ventilation, and arena color schemes. The results showed that the indoor sports field consisting of badminton, volleyball court and basketball court did not meet the standards. Design recommendations are made by making three simulations by treating the independent variables. The first simulation by increasing the number of lights. The second simulation by changing the type and power of the lamp. The third simulation by changing the type of lamp, light point, and lamp layout. The most optimal design recommendation is in the second simulation, because the lighting strength has met the standard and is easy to apply as a design improvement because it only changes the type and power of the lamp, without changing the number of lamp points and the layout of the lamps
The Prospect of HEF 4752 Chip Controller for Three Phase 24 Volt VSD Laboratory Training Set in Vocational Education
Authors: Sunomo  
Published: January 2021

Abstract
This study is intended to built a low voltage three phase 24/41 Variable Speed Drive (VSD) lab. experiment training set for vocational education institution with limited budged. The training set is cheap and save, both from electric shock hazard and for the electric measuring instrument, due to very low voltage used for running it. The three phase motor unit was build from redesigned of washing machine motor. The load of the motor is 736 grams silindrical iron with 5. 8cm diameter and 3.8cm of height. The VSD module designed for four step of speed controller in two mode of speed drives; V/F control and F control. Data comparison get from Schneider ALTIVAR ATV312H055M industrial standard for its voltage waves, and the character of V/F graphics measured in the lab. To make the same scale in MATLAB graphic pictures, the voltage of ALTIVAR 220/380V must be degrade by factor of 13. The results are; for F control only in HEF 4752 input terminal, the increasing of frequency still followed by the increasing of voltage in the motor terminal with more sloping curve rathen than V/F control mode. The slant of V/F control curve is the same in average fashion with that in ALTIVAR but the voltage waveshapes is denser in ALTIVAR. The slips of the motor are 31,5% - 8,3% in V/F mode control; 8,5% - 4,2% in F mode. With four steps speed; 40Hz, 44,44Hz, 57,14Hz and 65,57Hz; voltage gradation are 8; 9.7;11; and, 14 volts in V/F control and 11; 12; 13; and 14;volts in F control.
The Data-Driven Deep Learning to Localization Product in Convenience Store
Authors: Muslikhin  , Indrihapsari Y , Baiti A A , Wang M S 
Published: January 2021

Abstract
The penetration of Industry 4.0 in the convenience store is increasingly visible. The combination of Artificial Intelligence (AI), the Internet of Things (IoT), and robotic were always under evaluation, including applied AI in the whole system that is demanded robust when integrated with online shop. Meanwhile, the problem of speed detection and precision is still a challenge in AI. In this study data-driven deep learning was developed to improve the speed and maximize localization of consumer products. After the selected data-driven received from the online shop platform then triggers deep learning and activates a modified YOLOv2 in parallel. Thus, each detector per product is needed. Our system performance is proven by experiments to meet expectations in evaluating speed, precision, and performance in recognition and localization.
2 Detection of Grayscale Image Implementation Using Multilayer Perceptron
Authors: Reni O N , Marpanaji E 
Published: January 2021

Abstract
The human eye can instantly recognize two patterns of color images that are almost the same quickly, but the computer cannot directly recognize any pattern in the image. The problem faced is how the computer can recognize the image pattern entered. Pattern recognition is also a technique that aims to classify previously processed images based on similarity or similarity in characteristics. In the Artificial Neural Network there are several methods that can be used to identify image patterns, one of them with the Multilayer Perceptron architecture. Multilayer Perceptron Neural Network is a type of neural network that has the ability to detect or perform analysis for problems that are sufficient or even very complex, such as in language processing problems, recognition of a pattern and processing of an image or image. The results of the study are a system that is able to recognize grayscale image patterns and is able to provide a percentage of pattern recognition in two similar and different images.
Analyzing the use of SEO and Google Analytic on the Website of Vocational High School of Information Technology Annajiyah
Authors: Supraba L D , Jati H 
Published: January 2021

AbstractThe number of Islamic boarding school teaching both Information Technology (IT) Education and Religious Education is still limited. Vocational High School of Information Technology Annajiyah located in Tambakberas, Jombang, East Java is a school having both subjects taught. The existence of Vocational High School of Information Technology Annajiyah has not been widely known by outside and inside society of Jombang Regency. Therefore, Therefore, analysis of the use of SEO is necessary to determine the potential of website visit and school promotion. Previously, Vocational High School of Information Technology Annajiyah promoted school by using brochures only. This method was considered able to introduce the school through traditional way. Analysis result of improving SEO can be seen in Google Analytic recorded a number of site visits amounted 403 in June, where 82.2% of active users are dominated by mobile phone users and fluctuation of the number of visits. This increase is affected by both the implementation of SEO and online PPDB process during the COVID pandemic.