bluuebunny/crossref_metadata_2025 huggingface dataset:
Simulation of hypertriton productions in Pb-Pb collisions at ALICE energies using PACIAE model
Authors: Somparn Natthapon , Sombun Sukanya , Limphirat Ayut , Kobdaj Chinorat , Yan Yupeng
Published: January 2021

In this work, the parton and hadron cascade model (PACIAE) and the dynamically constrained phase space coalescence model (DCPC) are used to investigate the production of hypertriton and antihypertriton in Pb-Pb collisions at

s

N
N

=
0.9

, 2.76, 5.02 and 7 TeV. The model parameters are fixed by comparing the PACIAE result with ALICE data on Λ and p productions in Pb-Pb collisions at

s

N
N

=
2.76

TeV. Then, the predetermined parameters are used in PACIAE and DCPC models to simulate the hypertriton production in Pb-Pb collisions at

s

N
N

=
2.76

TeV. The hypertriton and antihypertriton yields in Pb-Pb collisions at

s

N
N

=
0.9

, 5.02 and 7 TeV are predicted in this work.
Internal resistance measurements of Li-ion batteries using AC methods
Authors: Kuntinugunetanon S , Meesiri W , Wongkokua W
Published: January 2021

The internal resistance of Li-ion cells is a quantity for determining the performance such as energy efficiency and state of health (SoH). To combine Li-ion cells as a battery for the solar cell industry as well as electric vehicle (EV), the internal resistance of each cell needs to be consistent otherwise the lifetime will be shortened. However, the internal resistance of Li-Ion cells depends on variables such as operating temperature and state of charge (SoC). In this work, we carried out the internal resistance measurements of individual Li-ion cells based on AC methods. According to an equivalent circuit of Li-ion battery, the measurement frequency was varied to study the effects of influence quantities such as the battery’s capacitance and inductance. Two AC methods were compared and discussed for the internal resistance values of Li-ion cells.
The signal calibration from a Sagnac polarized standing wave interferometer for displacement measurement
Authors: Nuntakulkaisak T , Infahsaeng Y , Bavontaweepanya R , Pongophas E
Published: January 2021

A Sagnac polarized standing wave interferometer (SPSWI) is extensively developed. It exploits two polarized standing wave signals formed in two orthogonal planes of oscillation to measure the displacement. However, two equal amplitude signals, which are complicated control, are sensitively required for displacement data analysis. Thus, the simple calibration process is necessary to accomplish this situation. In this paper, we present a methodology for calibrating signals from SPSWI by using Python programming to remove the constant signals, normalize oscillating signals and eliminate non-orthogonal error based on technique proposed by Fan. The relative displacement is derived from these calibrated signals.
The effect of non-uniform magnetic field on the energy spread of a low energy electron beam
Authors: Suksawat Nattawut , Wongrach Kunaree , Pinchaipat Rattachai
Published: January 2021

This work aimed to enhance a resolution of the electron diffraction pattern by improving the longitudinal and lateral coherence of electron beam. Using a uniform magnetic field and slits is a cheap and straightforward method. However, such magnet requires a larger space. Smaller solenoids which create a non-uniform magnetic field are more applicable, especially when space was limited. bTherefore, the effect of a non-uniform magnetic field on the energy spread of the electron beam was investigated numerically and experimentally. The simulation results agreed well (within 10%) with the measurements. It has been found that the ferrite core solenoids together with a narrow slit can be used to improve the beam coherence. However, beam shape observed form the real measurement significantly deviates form the simulation result. In addition the non-uniform magnetic field, the beam trajectory was affected by the electric field form electron gun which causes the change of beam shape and spatial distribution.
Application of multi-wavelength light source to micro welding inspection
Authors: Ketthong K , Markchum J , Namjan T , Chomkokard S , Jinuntuya N , Wongkokua W
Published: January 2021

We have developed a multi-wavelength light source and apply it to micro welding inspection. We project light rays from multiple white light super bright LEDs on a reflection grating. These LEDS are mounted on the specific position to give the diffracted ray with the wavelength range from 480 to 680 nm. The diffracted ray is pass to an optical fibre. The orientation of fibre tube is fixed so diffracted light from each LED will give a specific wavelength. The bandwidths of lights from all LEDS are quite narrow (< 50 nm), which is possible to be used as a light source for multi-wavelength imaging. The diffracted light is transported via optical fibre to a microscope used to inspect the micro welding points on a microelectronics circuit. Due to its very small size, the welding defects are hard to detected, even with high intensity white light. We find that, for typical welding points, the light with wavelength 500 to 600 nm can significantly enhance the contrast of welding image. This agree well with our preliminary result that, with our RGB light source, the maximum contrast can be obtained with the green - yellow to orange - red light. We expect our results to be useful to the inspection of micro welding, especially when integrated to some automation, e.g. machine vision system.
Stress analysis of 48 kg LPG cylinder
Authors: Sitthipong S , Boonpachr P , Lohwirakorn S , Choyrum S , Techawathakun S , Towatana P
Published: January 2021

Objective of this research was to analyze the stress of a 48 kg LPG cylinder designed under Thai Industrial Standard TIS 27-254. The design was employed by using test pressure of 3.3 MPa and the tank wall thickness of 2.65 mm which provided the maximum tensile strength of 429.3 MPa, yield strength of 286.2 MPa and burst pressure of 5.99 MPa. The material used to produce the gas cylinder was SG295 grade steel with a yield strength of 300 MPa and a maximum tensile strength of 440 MPa, which covered the design requirements. The research results were found that at the 85 percent of cylinder volume, gas density of 0.54 kg / l, liquid height of 0.9367 m and gauge pressure of 0.073 psi gave circumferential and longitudinal stresses of 0.0357 MPa and 0.0178 MPa, respectively. According to analysis results of finite element method revealed that the stress concentration area was the circumference at the center position of the tank with the highest value at the welding joint.
Mathematical model of DBH uncertainty from the shape of the wood cross-section
Authors: Wongsripan P , Arunthong T , Chomkokard S , Jinuntuya N
Published: January 2021

We investigate the uncertainty of Diameter at Breast Height, or DBH, of woods via a simple mathematical model. Usually, the DBH is not measured directly. The measurement is done on the Girth at Breast Height (GBH), which, by definition, is the circumference of wood at 130 cm above the ground. The DBH can then be calculated, assuming that the wood cross-section is a circle. This can introduce uncertainty to the DBH due to the irregularity of the shape of the wood cross-section. In this work, we approximate the wood cross-section by an ellipse, which can be fitted to the cross-section better than the circle. However, the eccentricity of the fitted ellipse is unknown, so we treat it as a random variable. The discrepancy between the diameter of the circle with the same area as the fitted ellipse, and the diameter of the circle with the same circumference as the GBH, is calculated. Monte Carlo simulations are performed to obtain the uncertainty of the DBH.
Program setup and parameter dependences of GUPIXWIN-calculated trace element concentration measured by PIXE analysis
Authors: Wongke S , Yu L D , Tippawan U
Published: January 2021

In our practice of applying GUPIXWIN software in calculations of the trace element concentrations in biosamples measured by particle induced X-ray emission (PIXE) technique, we found that the calculated concentration data critically depended on the program setup and experimental parameters input to the software. Dependences on some important setups and parameters such as the solution types (i.e. Trace element solution in a known matrix and Iterative matrix element solution), matrix composition, detector parameters (e.g. window thickness), sample structure, normalization, etc., which are sometimes easily not paid with intensive attention by users, are analyzed and discussed utilizing our PIXE spectra of some biosamples. We found that most parameters or program setups were critical to affect the calculated results, but some such as normalization was not. We also found that if only relative trace element concentrations instead of their absolute values are concerned, different program setup solutions resulted in similar data. We conclude that meticulous care must be taken in selection of the experimental parameters and setup conditions in using GUPIXWIN to make correct calculations of the trace element concentrations in biological or organic samples.
Preparation of low-temperature phase MnBi by sintering in vacuum
Authors: Ngamsomrit Satienrapong , Saisopa Thanit , Borsup Jongrak , Tun Myat Su , Myint Hsu Thazin , Nakajima Hideki , Songsiriritthigul Chomphunuch , Pinitsoontorn Supree , Songsiriritthigul Prayoon
Published: January 2021

A simple vacuum sintering system was set up to prepare low-temperature phase manganese-bismuth compound (LTP-MnBi). A mixture of Mn and Bi powders with 1:1 atomic ratio was sintered at 275 °C for 3, 6, 9 and 12 hours. The morphology of the sintered materials was investigated by SEM. The sintered product was further identified by XRD and energy dispersive spectroscopy and found to be LTP-MnBi, Mn and Bi. Sintering in vacuum could prevent the formation of manganese oxides. The magnetic properties of the sintered materials were characterized by using a vibrating sample magnetometer. The coercivity and the saturated magnetization were found to be 2.5 kOe and 42.4 emu/g, respectively. The maximum energy product of this magnetic materials was about 1.7 MGOe.
The efficiency of mangosteen peel for dye removal
Authors: Phawachalotorn C , Suwanpayak N
Published: January 2021

Mangosteen peel, an agricultural waste to be used as an adsorbent, was prepared by a simple and eco-friendly method. The dried mangosteen peel (DMP) was initially studied its surface charge by using the pH drift method. The adsorption experiments were performed using the batch technique to explore the efficiency of methylene blue (MB) removal. Fourier Transform Infrared (FTIR) spectroscopy and Field Emission Scanning Electron Microscopy (FE-SEM) were used to characterise the DMP before and after the adsorption process. The results revealed that MB could be adsorbed onto the DMP surface via the electrostatic interaction between the cationic dyes and surface functional groups of the DMP. To explore the MB adsorption efficiency of DMP adsorbent, the factors of the initial pH of MB solution, particle sizes of the DMP, DMP dosage, and contact time were investigated by using Ultraviolet-Visible (UV-Vis) spectrophotometer. It was found that the percentage of MB removal was 99.7% by using 5 g/L of DMP at particle sizes of lower than 75 μm within ten minutes under the initial pH condition of MB solution. Moreover, the experimental equilibrium adsorption data were fitted to the Freundlich isotherm model with R
2 = 0.9869.
Sound absorption properties of rigid polyurethane foam composites with rubber-wood sawdust as a natural filler
Authors: Chanlert P , Ruamcharoen P
Published: January 2021

Rigid closed-cell polyurethane (PU) foam is well-known for its ability to withstand external force. On the other hand, due to the closed-cell nature, its ability to absorb sound is doubtful since hollowed materials are supposed be better in sound absorption. However, the composites fabrication with non-reactive fillers was thought to improve sound absorption ability since it might prohibit the formation of closed cell in the process. In this research, rigid polyurethane foam was prepared from polyether polyol and polymeric methylene di-isocyanate (p-MDI) formulated with water as a blowing agent. Natural rubber-wood sawdust was used as a filler. The percentages of rubber-wood sawdust in the polyurethane foam composites were varied by 0, 1, 3, 5 and 7%. The measurement of sound absorption coefficient has been done using impedance tube technique. The results showed that the rigid closed-cell polyurethane foam with 0% filler exhibits poor acoustic absorption. Additionally, sound absorption coefficient results showed that a sample with higher amount of rubber-wood sawdust allowed the sound wave to be absorbed at wider frequency range. This could be explained that the rubber-wood sawdust filler played an important role in sound absorption property.
Synthesis of Pb-doped CdS quantum dot using SILAR method on mesoporous TiO2 layer
Authors: Sudswasd Yosita , Liu Feng , Toyoda Taro , Shen Qing , Yindeesuk Witoon
Published: January 2021

This research focuses on the fabrication of CdS quantum dot-sensitized solar cells (QDSCs). CdS quantum dots (QDs) were fabricated on a mesoporous TiO2 electrode using a successive ion layer adsorption and reaction (SILAR) method and Pb doping concentrations (0, 2, 4, 10, 15, 20, 25 and 30 %mol) were varied. The change in optical properties of CdS QDs was found to be affected by Pb doping. The Pb-doped CdS QDSCs were determined under the illumination of 100 mWcm−2, which indicated the highest power conversion efficiency (PCE) was 1.73% at 20% Pb dopant.
Enhanced beta-phase formation and dielectric properties of P(VDF-HFP) nanofibers composites filled with polyaniline
Authors: Tohluebaji N , Nawae S , Putson C , Muensit N , Yuennan J
Published: January 2021

In this study, the polyaniline (PANI) with different contents was blended in Poly (vinylidenefluoridene-hexafluoropropylene) [P(VDF-HFP)]. The composite P(VDF-HFP)/PANI nanofibers were fabricated by electrospinning technique conducted with flow rate of 0.5 ml/h and electrical voltage at 17 kV. Scanning electron microscopy (SEM), water contact angle (WCA), Fourier-transform infrared spectroscopy (FTIR), and dielectric property of all P(VDF-HFP) fibers were studied. The SEM image shows that some beads appeared in the pristine P(VDF-HFP) nanofibers. After adding with PANI, the uniform fiber without any bead formation is achieved, which the average fiber diameter is ranged from 100 to 300 nm determined by ImageJ processing program. However, the WCA of the composite nanofibers is reduced with increase of PANI concentrations. The incorporation of PANI filler can improve the β-phase content and dielectric constant with low loss tangent. This work provides a potential strategy for the fabrication of high-performance P(VDF-HFP) nanofibers.
Preparation of superhydrophobic surface on P(VDF-HFP) fibers by electrospinning technique
Authors: Yuennan J , Nawae S , Tohluebaji N , Putson C , Muensit N
Published: January 2021

In this work, a superhydrophobic surface of poly (vinylidenefluoridene-hexafluoropropylene) (P(VDF-HFP)) fibers was fabricated by means of electrospinning technique. The effects of flow rate on the morphology and hydrophobicity of P(VDF-HFP) nanofibers were investigated by scanning electron microscopy (SEM) and water contact angle (WCA), respectively. The results exhibit a uniform P(VDF-HFP) fiber mat at the lowest flow rate. However, the presence of bead-on-string the fibers was exhibited at higher flow rate. The average fiber diameter of P(VDF-HFP) fibers is increased with increasing flow rates. The WCA values of the P(VDF-HFP) fibers with bead-on-string structure could reach up to 158.60°, indicating as the superhydrophobicity. These as-received porous P(VDF-HFP) fibers with superhydrophobic surface are attractive properties for self-cleaning materials used for further several industrial applications.
Effect of flow rate on the fabrication of P(VDF-HFP) nanofibers
Authors: Nawae S , Tohluebaji N , Putson C , Muensit N , Yuennan J
Published: January 2021

In this study, different flow rates were used to produce electrospun Poly (vinylidenefluoridene-hexafluoropropylene) P(VDF-HFP) nanofibers to investigate the fiber diameter and water contact angle (WCA). The flow rate range for P(VDF-HFP) electrospinning started from 0.1 to 0.9 ml/h. The surface morphology of the nanofibers was studied by scanning electron microscopy. The intrinsic beta-phase and the degree of crystallization are confirmed from Fourier transform infrared spectroscopy and differential scanning calorimetry studies. The wettability of the nanofibers was also determined in terms of WCA. The results show continuous nanofiber mats. The P(VDF-HFP) mat at flow rate of 0.7 ml/h shows the highest values of fiber diameter of 835 nm and WCA of 152°. The electroactive beta-phase occurred during the electrospinning process is achieved with 86% of beta-phase fraction and 85% of crystalline degree. These results suggest that the as-received P(VDF-HFP) nanofibers can operate stably as the fiber strain sensor without being affected by sweat or water.
Potential application of Thorium isotopes in upland maize soils for assessment of soil erosion
Authors: Kulsawat W , Kaewchuay N
Published: January 2021

Soil core samples from upland maize field at Mae Ramah district, Tak province were analysed for thorium isotopes using the modified method. The measures Th-232, Th-230 and Th-228 revealed that the rock parent material is the dominant source at these sites while fertilizer is an important supplement. Migration behaviour of Thorium isotopes varying with seasonal and human activities during cultivation period such as ploughing, harrowing, and applying fertilizer resulted in different distribution of Thorium isotopes in soils. It was observed the descending and ascending of Th-232, Th-230 and Th-228 concentrations in maize soils along the 250 meters line transect sampling. The highest Th-232 found in the upland maize soils was 11.76 Bq/kg or 5344.56 Bq/m2 while the lowest was 1.88 Bq/kg or 289.40 Bq/m2. Erosion and deposition of topsoil in the site should be the most possible reason for the significantly lower thorium isotopes values and vice versa along downhill soils. These results demonstrated that Thorium isotopes could be applied as an ideal substitute of Cs-137 for soil erosion study in the future. Further study is to collect additional line transect sampling including increase with the distance.
Rapid material identification via low-resolution Raman spectroscopy and deep convolutional neural network
Authors: Boonsit S , Kalasuwan P , van Dommelen P , Daengngam C
Published: January 2021

Raman spectroscopy is a vital technique being able to detect and identify molecular information with advantages of being fast and non-invasive. This technique also enables numbers of potential applications, including forensic drugs detector, explosive detection, and biomedical analysis. In this work, we investigated the identification performance of a custom-made low-resolution Raman system equipped with machine learning capability to classify various types of materials. Here, a relatively broadband laser diode with center wavelength of 808 nm was used for Raman excitation. An off-axis parabolic mirror with through hole was used in place of a beamspiltter for sample excitation, as well as collection, and collimation of scattered light from long working distance of 50 mm. The signal was filtered and delivered to a cooled spectrometer via an optical fiber for spectra measurements. Raman spectra of test samples were on the range of 100-2000 cm−1 with 7.65 cm−1 data steps. For spectral analysis, a convolutional neural network (CNN) was implemented as classification algorithm with feature extraction from multiple layers together with error-back propagation, which displayed the performance in term of accuracy. It was found that with only three sets of convolution layers up to 96.7% testing performance can be achieved even with low spectral resolution input.
Resonant Raman random lasing from disorder-structured material pumped by nanosecond-pulsed laser
Authors: Srisamran P , Pewkhom P , Boonsit S , Kalasuwan P , van Dommelen P , Daengngam C
Published: January 2021

Raman spectroscopy can provide “chemical fingerprint”, unique for each chemical composition; nevertheless, spontaneous Raman scattering has low efficiency (10−8-10−10). In this study, we report the evidence of Raman random lasing (RRL) generated from disordered materials even pumped by a nanosecond-pulsed laser, resulting in enhancement of Raman signal. The 355 nm UV excitation pulses allowed higher Stokes intensity due to the resonant Raman effect, compensating for the comparatively wider pulse duration. For the experiment, the effects of sample packing densities on RRL efficiency were studied for Ba(NO3)2 powder. The RRL threshold of the loosely-packed structure was lower than the closely-packed structure, and the RRL power efficiency reached 4.25 × 10−4, for the former case. It is consistent with the coherent backscattering results that indicated the longer transport mean free path for the loosely-packed structure, implying deeper photon penetration into the sample structure with lower density. Furthermore, the full-wave simulation on COMSOL Multiphysics was solved for the investigation of localization time and confined energy of electromagnetic wave in the random structures. The closely-packed structure showed better localization property. However, the loosely-packed structure allowed more incident light to penetrate into the medium, which affected more profoundly on RRL generation.
The effect of red, blue, green and white light emitting diodes on pigment content and sugar accumulation in wheatgrass
Authors: Yindeesuk Witoon , Sartpan Sirichai , Kamondilok Surachart
Published: January 2021

This research studied the effect of light-emitting diode (LED) on pigment content and sugar accumulation in wheatgrass. The wheatgrass was cultured under different lighting conditions, consisting of white (W), red (R, 660 nm), blue (B, 480 nm), and green (G, 525 nm) LEDs. The daily light integral is 2.33 mol/day in 7 days. The wheatgrass was cultured in a close system at a temperature of 25±1 °C and humidity of 75 ± 3 %. In the experiment, the completely randomized design was used with three replications of 100 seedings. The wheatgrass that was grown under red and blue light with ratio 1:1 yield a chlorophyll A of 1.0363 mg/L, chlorophyll B of 0.4189 mg/L, and carotenoid of 0.3208 mg/L. The sugar accumulation of 8.234 mg/L is a maximum under the red, green, and blue treatment with statistical significance.
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

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

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

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

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

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

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

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

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

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

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

Water 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

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

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

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

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

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

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

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

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

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

The 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.
Development of Instructional Videos for The Principles of 3D Computer Animation
Authors: Pambudi S , Hidayatulloh I , Surjono H D , Sukardiyono T
Published: January 2021

Understanding the principles of animation is an important factor and determines the quality of animation that can be produced. However, explanation of the principles of animation in many book are still specifically to traditional animation, not 3D computer animation that mostly used today. Students have difficulty applying traditional animation principles to 3D computer animation principles. Therefore, the purpose of this research is to develop thirteen instructional videos for the topic of Principle of 3D Computer Animation and to determine the effectiveness of these videos on student understanding. Video development uses the Research and Development Four-D model (Define, Design, Develop, and Disseminate). Based on the results of product testing, these thirteen learning videos were declared “very good”. The paired t-test results showed that the product developed was effective in increasing students’ understanding of the Principle of 3D Computer Animation.