bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sound absorption behavior of combined woven fabrics and nonwoven fabrics
Authors: Gunawan  , Prasetyo I , Adhika D R , Brahmana F , Yuliarto B 
Published: May 2021

Abstract
It has been known that woven fabrics and nonwoven fabrics exhibit absorption capability. Despite this, both have different characteristics in absorption. The absorption of woven fabrics occurs due to resonance system which has a narrow absorption bandwidth but it is tunable for low frequency absorption. Meanwhile, that of nonwoven fabrics is present due to mainly visco-thermal effect of porous media so that the wide absorption bandwidth can be obtained at mid-high frequency. This works is focused to investigate the possibility to combine features of each fabrics in order to have a better performance of textile-based absorber. Experimental works on some configurations of combined woven fabrics and non-woven fabrics are conducted. It is found that some absorption enhancements are observed compared to original performance of each material. Hence, both materials are complementary to produce a better performance in overall. However, such a combination should be realized with a great care as absorption performance at mid-high frequency can be deteriorated or lead to poor results.
Comparison of sound level meter calibration for frequency weighting parameter using coupler method
Authors: Dwisetyo B , Rusjadi D , Palupi M R , Putri C C , Utomo F B , Prasasti N R , Hermawanto D 
Published: May 2021

Abstract
A large number of industrial needs to the sound level meter (SLM) calibration has encouraged the laboratory to develop a qualified calibration system. As one of the SLM calibration methods required by the standard, the coupler method is considered as the most convenient to be implemented, especially for the secondary laboratory. Therefore, the aim of this work is to compare the SLM calibration for the frequency weighting parameter by this method using the instrument standards that comprise of a multifunction acoustic calibrator and a working standard of pressure microphone (WS2-P Microphone). Moreover, the result of frequency weighting calibration using these standards, therefore, is compared to the reference value required by IEC 61672-1. From the result, the deviation values of these standards are obtained relative to the reference. At the low to middle frequencies, the deviation values are slight relatively, while at the higher frequency, it tends to bigger. In addition, these methods also support the development system of noise dosimeter and sound level meter calibration that still under research through the scheme of Incentive Research Program for the National Innovation System in 2020.
Geometrically nonlinear free vibration of Euler-Bernoulli shallow arch
Authors: Outassafte O , Adri A , Rifai S , Benamar R 
Published: May 2021

Abstract
The purpose of this work is to investigate the geometrical non-linearity in free vibrations of the Euler-Bernoulli shallow arch with clamped ends. The nonlinear governing equilibrium equation of the shallow arch is obtained after the Euler Bernoulli theory and Won Karman geometrical nonlinearity assumptions. The initial curvature of the arch is not due to the axial displacement of the beam but is due to the geometric of the beam itself. Taking into account a harmonic motion, the kinetic and total strain energy are discretized into a series of finite functions, which are a combination of the linear modes calculated before and the coefficients of contribution. The discretized expressions are derived by applying a Hamilton principle energy and spectral analysis. A cubic nonlinear algebraic system is obtained and solved numerically using an approximation method (the so-called second formulation) is applied to resolve various nonlinear vibration problems. To illustrate the effect of the curvature on the fundamental nonlinear mode and nonlinear frequency, the corresponding backbone curves, nonlinear amplitude vibration, and curvature of the arch are presented for the first modes shapes.
Conceptual model of soundscape perception based on working behaviour in open-plan offices
Authors: Indrani H C , Ekasiwi S N N , Arifianto D 
Published: May 2021

Abstract
The open-plan office is one of the most popular and preferred workspace arrangement options for employers today. The results of research in western countries show that listeners’ perceptions of the soundscape in open-plan offices are negative, due to reduced visual and acoustic privacy and uncontrolled sound levels. This can cause a significant decrease in work comfort and productivity. Several researchers have provided acoustic design solutions by performing adequate speech control through several solutions such as creating spacing between workstations, the use of acoustic dampening materials, insulation between workstations, and application of a noise masking system. The phenomenon of adopting an open-plan office has also hit offices in big cities in the world, including in Indonesia. The purpose of this paper is to further examine listeners’ perceptions of the soundscape in the case of open-plan offices in the local environment because the results are indicated to be different from similar cases in western countries, given the peculiarities of employee work behaviour which are influenced by individual experiences and social effects in the local environment are also different. For this reason, a comprehensive literature review method is needed that aims to investigate the relationship between soundscape perceptions and working behaviour in open-plan offices in the local environment and then to create an integrated conceptual model so that further researchers can evaluate the research related to these problems.
An acoustical and psychological study on contribution of lyrics in raga-based happy and sad Indian music
Authors: Banerjee A , Sanyal S , Gayen P , Roy S , Patnaik P , Ghosh D 
Published: May 2021

AbstractA perfect complementary relationship between the lyric and the melody can give birth to a beautiful song. The melodic expression of a song is universal but the lyrical expression is not – lyric is culture specific because of its language dependence. Can melody itself communicate the core emotions of a song? Or does the addition of a lyrical sense significantly change its emotional experience? This study looks for the answers focusing on a unique subgenre of Indian Classical Music –Ragashroyicompositions, where the melodic movements sincerely follow theRagapathways but the lyrics explore a much deeper and wider variety of emotions compared toRaga bandishes. Recordings were collected from two eminent vocalists (1 male, 1 female), each of whom was asked to sing (with proper lyrics) and hum (without meaningful lyrics) any two BengaliRagashroyicompositions of two opposite emotions – happiness and sadness. Hurst Exponents, obtained from robust non-linear Detrended Fluctuation Analysis (DFA) of the recorded acoustic waveforms, were compared for each song-humming pair having same melodic structure to understand the acoustic contribution of the lyrics in a song quantitatively. A comparative audience response study was also conducted where several humming and song clips were played randomly and two groups (one which understands Bengali, the other which does not), each having 30 participants, were asked to mark the emotions and the characteristic features corresponding to each clip on 5 point Likert scale, and their responses were compared for each song-humming pair. This pilot study onRagashroyiIndian music explores in depth the contribution of lyrics in vocal music from both the perspectives of computational acoustics and audience psychology.
Skyline quadratic residue diffuser-resonator (SQRD-R): a study about its characteristic
Authors: Suyatno  , Lianto M 
Published: May 2021

Abstract
To create a comfortable acoustic environment both indoor and outdoor, we need to control the noise. In the room, noise comes from both outside and inside the room for example is flatter echo. Installation of acoustic material such as absorber, resonator, or diffuser is an example of indoor noise control. QRD is one of diffuser consider of wells with different depth to diffuse the reflected sound. The depth of the wells is calculated by DR. Manfred Schroeder formula. In this research, a combination of Skyline QRD and Helmholtz resonator is given, we call it SQRD-R. This SQRDR follows the design from Wes Lachot Design but using a Helmholtz resonator as the cell. The examination of its characteristic is built using both of impedance tube test and calculation. The purposes of this research are learning about the effect of holes position on its sound impedance and sound absorption coefficient. The highest impedance value is –j(3.5 x 107) acoustic ohm. The highest absorption coefficient is 0.9. By controlling the SQRD-R dimension, we can control noise at specific frequency.
Influence of “indeterminate music” on visual art: a phenomenological, semiotic and fractal exploration
Authors: Gayen P , Banerjee A , Sanyal S , Nag S , Patnaik P , Ghosh D 
Published: May 2021

Abstract
Indeterminacy in music, a well known neo-avant-garde approach of composing sound where some features of a musical work are left open to chance or to the interpreter’s free choice, became noticeable among some American music composers such as John Cage, Earle Brown, Morton Feldman and Christian Wolff in the mid 20th century. Simultaneously, a group of artists from the West created “abstract expressionism” in visual arts, which showed a strong resemblance with this “indeterminate music”, both using two kinds of abstract languages. The commonality among these two art forms is the free improvisation of creative activity. The correspondence between the indeterminate music induced emotions and the depicted emotional contents in paintings is a relevant area which is still scientifically unexplored. To investigate the same, we conducted a case study where a visual artist listened to four music clips composed by the above mentioned musicians and created four paintings. The visual artist is strongly inspired by the abstract expressionist methods and these methods lend well to inspirational work based on listening to indeterminate music.To understand the nature of intermediality, if any, that exists between “indeterminate music” and “evoked abstraction” in paintings, the artist’s phenomenological interpretations of the process was compared with detailed semiotic analysis of specific musical and visual elements and the nature of their relatedness. Fractal analysis in the form of Detrended Fluctuation Analysis (DFA) was also done on both the acoustic waveforms of the chosen music clips and the corresponding paintings to explore possible correlations. Some unique findings yielded from the analysis, which hint toward strong correlation between the prominent musical features of indeterminate music and the prominent visual features of the paintings inspired by them. This novel study has the potential to offer both new methodology as well as better understanding the features of intermediality between “indeterminate music” and visual art.
Hilbert-Huang transform of infrasound for tsunami early warning systems
Authors: Caesario V , Amelia R R , Vieri G , Arifianto D 
Published: May 2021

AbstractWhen an earthquake occurs tectonically and volcanically, it is preceded by the emergence of sound wave propagation that cannot be heard by the human ear because it has a low frequency, called infrasound. These infrasound waves are difficult to detect because they are much weaker than earthquake waves and other natural sound waves in nature. The Hilbert-Huang transform method (HHT) is proposed, which in principle decomposes a wave into several simpler sinusoidal harmonic waves so as to separate the low-frequency infrasound waves from the other waves. Once separated, the envelope frequency can be determined which represents the frequency of the earthquake occurrence, then the amplitude represents the predicted earthquake strength, and the wave propagation phase that represents the location of the earthquake source. From the comparison of secondary data, it was obtained that HHT was able to obtain all three information faster than the data from seismographs so that it had the potential to increase the evacuation time which in turn reduced the potential for greater casualties and losses.
Speaker forensic identification using joint factor analysis and i-vector
Authors: Rouf R J , Arifianto D 
Published: May 2021

Abstract
Speaker Forensic is a process to determine the identity between a person’s voice (known speaker) and the investigated voice (suspect speaker). To improve accuracy in speaker forensic analysis is used a combination of 2 forensic methods, joint factor analysis and i-vector methods. The forensic approach by adding noise signal with SNR value as a representation of a tapping situation to measure speaker identification performance. Classification on verification using i-vector is done by comparing i-vector model tests and targets. Both models calculated vector similarities using cosine similarity score. Verification is done with compare the same speaker and verification between different speakers The testing process on the program performance is indicated by an equal rate error value. While the system’s sensibility is indicated by the threshold value. The results showed that the EER value of the Graz dataset (1.87%) compared to the Indonesia dataset (10%).
Folded planar resonator-based sonic crystal scatterer: Part II. Tuning the local resonance
Authors: Yahya Iwan , Suparmi  , Cari  , Ubaidillah  
Published: May 2021

Abstract
This paper emphasized the tuning local resonance approach for proposing folded planar resonator-based sonic crystal scatterers. The folded inward design gives similar performance to the conventional single degree of freedom split tube resonator (STR). The sound absorption performance shifted to a lower frequency band according to the enlarging total volume of the resulting structure’s volume without any significant effect from its inner wall thickness. Contrary to the folded outward direction design, which is resulting in multi-degree of freedom response. As the planar resonator folded in an outward direction, the resonator depth became a thin slit connecting the two separated cavities. The test model is made of stiff paper, as mentioned in part one. The entire laboratory test also conducted with a similar procedure refers to ASTM E-1050-98.
A new organic-inorganic MgZnO/Au/PEDOT:PSS hybrid heterojunction photodetector fabrication
Authors: Weng Siyuan , Jiang Dayong , Zhang Xiaolan , Wang Meijiao , Sun Jiamei , Zhao Hongping , Li HaoDa , Zhao Yue , Xing Meijiao 
Published: May 2021

Abatract
This research reports oxygen zinc magnesium (MgZnO)/gold (Au) photodetectors (PD) and organic-inorganic semiconductors MgZnO/Au/poly(3,4-ethylenedioxythio-phene): poly(4-styrenesulfonate) (PEDOT:PSS) PD research. At room temperature, spin-coating and radio frequency (RF) magnetron sputtering were used to deposit PEDOT:PSS layer and MgZnO thin film on the substrate, respectively. The properties of the heterojunction formed on the MgZnO/PEDOT:PSS inorganic/organic contact interface were studied. In order to manufacture ultraviolet (UV) heterojunction PDs, PEDOT:PSS is used as the hole transport layer (HTL), and MgZnO is used as the electron transport layer (ETL). This heterojunction shows excellent ultraviolet light detection capability. Under 40 V bias, the responsivity of MgZnO/Au PD and MgZnO/Au/PEDOT:PSS heterojunction PD are 0.0473 A W−1 and 0.134 A W−1 under ultraviolet irradiation, respectively. The device shows good Schottky contact between metal semiconductor junctions. The excellent UV detector performance is due to the strong UV absorption of PEDOT: PSS.
Research on indoor positioning algorithm based on BP neural network
Authors: Zhu Wenqi , Zeng Zetao , Yang Qin , Zhao Xuchen , Zhang Jie 
Published: May 2021

Abstract
The neural network positioning algorithm is an algorithm that uses the principle of electromagnetic induction to activate a short-range wireless tag wirelessly to achieve information reading. It has the advantages of small size, low cost, and reusability. This paper compares several neural network structures of DNN, CNN, and RNN, and selects BP neural network to optimize its training through theory and practice, combining the data to compare their average error and average time used in indoor positioning practice, the average error of the optimized BP neural network in this article is smaller, and the positioning time is shorter, and combined with the practical data to obtain the efficient use of the division value n, which meets the high-precision requirements of indoor positioning and is more convenient for practical applications.
Effect of secondary orientation on micromechanical properties of nickel base single crystal superalloy
Authors: Wei Wencong , Zhang Jiawei , Song Jinxia , Xiao Chengbo , Liu Furong 
Published: May 2021

Abstract
In this paper, the mechanical properties and microstructure evolution of Ni based single crystal superalloy with different secondary orientations under stress loading were studied by molecular dynamics (MD) simulation. The MD model is a supercell structure established with three-dimensional cubic mosaic units, and the volume fraction of the γ‘precipitated phase is 65%, which is similar to the structure of the actual material. The effect of secondary orientation on the tensile properties of superalloy was analyzed on the atomic scale, and the mechanism of the secondary orientation on tensile deformation and fracture was discussed systematically. The work in this paper will be helpful to understand the tensile deformation behavior of superalloy from an atomic point of view.
Junction Temperature Measurement Method for Thermal Resistance Testing of SiC MOSFET Module
Authors: Guo Hao , Guo Chunsheng , Wei Lei , Liu Yunong 
Published: May 2021

Abstract
The internal anti-parallel Schottky barrier diode threshold voltage of SiC metal-oxide-semiconductor field-effect transistor (MOSFET) modules is less than that of their body diodes, which prevents the use of the body diode voltage drop to measure junction temperature. In this paper, a thermal resistance test of the SiC MOSFET module is proposed based on the onstate voltage drop as a temperature-sensitive electrical parameter. Measurements are performed with the method and its feasibility evaluated. The on-state voltage drop temperature sensitivity under different gate voltages and the repeatability of the on-state voltage drop parameters before and after electric power heating in the thermal resistance tests are studied. The on-state voltage drop is measured under a high gate voltage and the accuracy of junction temperature measurement improves when the grid voltage remains the same during heating and measurement.
A research on resting-state functional network connectivity after rt-fMRI neurofeedback in insomnia
Authors: Zhang Huan , Gao Hui , Li Zhonglin , Feng Zhiyuan , Zhang Chi , Tong Li , Yan Bin 
Published: May 2021

Abstract
Using resting-state functional connectivity based on regions of interest to explore connectivity changes between specific brain regions and the whole brain in insomnia patients after real-time functional magnetic resonance neurofeedback (rt-fMRI NF) therapy has the limitation that the brain information used is not comprehensive enough. While the use of functional network connectivity (FNC) can more systematically and effectively explore the effect of neurofeedback intervention on brain activity in patients with insomnia. In this paper, we used independent component analysis (ICA) method to reveal the spatial properties of brain networks in the whole brain of insomnia patients, then examined and compared the FNC before and after rt-fMRI neurofeedback. The whole-brain FNC results show that the functional connectivity between the executive control network (ECN) and salience network (SAN), default mode network (DMN) were significantly decreased, while the connectivity between the DMN and the SAN was increased. In summary, rt-fMRI neurofeedback training for insomnia patients alters intrinsic functional network connectivity, which may provide objective neuroimage evidence for emotion and sleep improvement in insomnia patients.
Research on Surface Defect Detection Algorithm of Strip Steel Based on Improved YOLOV3
Authors: Ning Zhang , Mi Zhiwei 
Published: May 2021

Abstract
Aiming at the problems of slow detection speed and low detection accuracy in the surface defect detection of hot rolled strip steel, an improved YOLOV3 algorithm model was proposed in this paper. Firstly, the data sets is expanded by using the data enhancement algorithm to improve the robustness of the algorithm. Secondly, K-means++ with less randomness was used to perform clustering analysis on defect labels instead of K-means algorithm, and appropriate Anchor Boxes were selected as the initial candidate boxes for the improved YOLOV3 network. Finally, this study changed the detection network of YOLOV3, added a layer of prediction box and performed feature fusion to improve the detection ability of the network for small targets. The experimental results show that the improved YOLOV3 algorithm achieves 89.5% mean average precision on NEU-DET data set, which is 14.7% higher than the original YOLOV3 algorithm. Detection speed in 34 FPS at the same time, can meet the needs of industrial production.
A multi-objective scheduling method for smart grid loads based on improved GSO algorithm
Authors: Zhou Hailing 
Published: May 2021

Abstract
When the traditional scheduling method is applied to the smart grid, it is difficult to adapt to the characteristics of fast changing grid load and multiple scheduling objectives, which leads to problems such as low economy and slow scheduling response rate. In order to improve the above problems, a multi-objective scheduling method for smart grid loads based on the improved GSO algorithm is studied. After predicting the short-term load changes of the smart grid using the maximum Lyapounov exponent method, a grid load scheduling model is established with the objectives of economy, environmental protection and reliability. The GSO algorithm is improved by using simulated annealing algorithm to solve the grid load scheduling model to achieve multi-objective scheduling of grid loads. The comparison experiment verifies that the scheduling method improves the scheduling response rate by at least 37.5%, and effectively reduces the scheduling cost with reliability.
A Safety Mechanism Design for Inductive Power Transfer Systems
Authors: Chai Yuxin 
Published: May 2021

Abstract
Many applications have appeared since the invention of Wireless Power Transfer. One of the constraints for WPT to be applied to wider applications is the safety concerns. This paper introduced an object-detecting safety mechanism for wireless power transfer by only using on-board signals of the inverter. With a simple machine learning tech- nique, the trained classification model could achieve a detection accuracy of 95% via simulation data.
Research on the Performance of ZnO/Mg0.2Zn0.8O Flexible Ultraviolet Photodetector
Authors: Wang Meijiao , Jiang Dayong , Li Haoda , Weng Siyuan , Sun Jiamei , Duan Yuhan , Zhang Xiaolan , Zhao Hongping 
Published: May 2021

Abstract
The ZnO/Mg0.2Zn0.8O/Au flexible ultraviolet photodetector (UV PD) with a polyethylene terephthalate (PET) substrate was successfully prepared at room temperature, which is compared with Mg0.2Zn0.8O/Au without a ZnO buffer layer. ZnO/Mg0.2Zn0.8O/Au double-layer film is biased at low operating voltage, the spectral responsivity is improved by 2.77 times. This result provides a way to grow a buffer layer on PET to improve the responsieness of the device. After 0/50/100/200 bending times and storage for more than 90 days, the pet substrate maintains excellent mechanical stability and repeatability, which is suitable for practical applications.