bluuebunny/crossref_metadata_2025_split huggingface dataset:
Credit scoring model using MARS method to comply with FSA regulation
Authors: Afrilia A , Joharudin A , Zaky M , Budiman B , Fauziah M 
Published: April 2021

Abstract
Financial Service Authority (FSA) introduced a new policy on Sustainable Finance to financial institutions such as Banks. It is currently a hot issue that needs to be implemented in the selection process of potential debtors. Consequently, the credit rating system needs to be renewed. Statistical methods can help to include permits and environmental impact in the selection process. Thus, this study intends to formulate a credit rating model for productive debtors. This study used a quantitative method using Multivariate Adaptive Regression Splines (MARS). Our study’s significant finding is that the credit rating model for productive debtors that have been formulated has type I error of 0.00% and type II error of 0.54%. Furthermore, the authors believe that this model can be used to asses potential debtors’ credit rating while adhering to the policy of Sustainable Finance.
The impact of natural disasters in Indonesia: How does welfare accentuate and attenuate the loss of people?
Authors: Prasojo A P S , Surtiari G A K , Prasetyoputra P 
Published: April 2021

Abstract
The increasing number of disasters in Indonesia exerts significant economic loss and human casualties, whereas Indonesia has focused on disaster risk reduction. Recent studies are lacking to explore how economic growth influences the impact of disasters. This paper aims to seek a deeper understanding of how welfare that represented by the human development index influences the impact of disaster on the people. We implement the concept of welfare and risk reduction as an approach to analyze disaster and welfare data with a focus on flood events in 2008-2018. We obtained the data from BNPB and Statistics Indonesia. We fitted a multivariable negative binomial regression with ‘human losses from deaths’ as the outcome and provincial Human Development Index (HDI) and provincial gross domestic product (GDP). The results suggest that Provincial HDI is negatively significant associated with human losses from deaths. However, GDP was also found to be positively significant associated, albeit less strongly, with human losses from deaths. These associations bring about potentially significant policy implications.
A measurement of various length of the stack on a standing wave thermoacoustic refrigerator
Authors: Achmadin W N , Kharismawati I , Trianggono M M 
Published: April 2021

AbstractA thermoacoustic refrigerator is a capable device to produce temperature differences with acoustic work (sound waves) as the source. The advantage of these machines is that the working gas medium used is air, so it doesn’t produce much pollution and of course, it is environmentally friendly. This paper describes the measurement of stack length variations ranging from 4 cm to 7 cm on the performance of the standing wave thermoacoustic refrigerator. This study aimed to find the optimum stack length in a thermoacoustic machine with a resonator pipe length of 80 cm. Operation time is carried out for 30 minutes. The main components of a thermoacoustic device consist of a regenerator, resonator pipe, and a loudspeaker. The regenerator has a big role, namely as a place for energy conversion to occur. The results obtained are a temperature decrease, a temperature increase, and a temperature difference. The results showed that the temperature decrease and the temperature difference on the stack length of 7 cm were the decrease in temperature and the maximum temperature difference with the results of 4.6°C and 9.3°C, respectively. Therefore a standing wave thermoacoustic refrigerator with various lengths of the stack has been experimentally studied.
Ethnomicology of Basidiomycota fungus species in Central Kalimantan open forests
Authors: Hujjatusnaini N , Erawati D , Melisa M , Nor F , Shartono D F , Harlyani Y , Zulham M 
Published: April 2021

Abstract
The role of fungus Basidiomycota can be used as an indicator of wisdom and the level of maturity forest ecosystems, both as decomposers, symbionts, and pathogens. The existence of several species of edible mushrooms is also used by local communities as food and medicine. This study aims to identify the diversity of fungus species in Central Kalimantan’s open forests, as part of ethnomicological information. The method used was the purposive sampling technique. The results showed 3,715 fruiting bodies of mushroom from 120 species and 41 genera were found at the study site with moderate levels of biodiversity (R ‘= 3.51; H’ = 2.14; D ’=0.68). Based on the study of ethnomicology information obtained 5 species of edible mushrooms that are commonly consumed by local communities, such as, cloud ear fungus (Auricularia polytricha), Oyster Mushroom (Pleurotus ostreatus), Hygrocybeal calc, Cantharellos, and Common Puffball (Lycoperdon pertatum). For the type of fungus that is used as an ingredient for disease treatment, 2 types are found, namely polyporus cinnabarius, and ganoderma. The research findings found that Central Kalimantan’s open forest biodiversity is still quite good, with a moderate level of diversity. Besides, ethnomicology can be developed as local wisdom in Central Kalimantan.
Design of Simple Harmonic Motion (SHM) devices based on IR obstacle sensors
Authors: Setya W , Fariha D N , Handayani W , Syafe`i A 
Published: April 2021

Abstract
The development of science and technology is inseparable from the availability of hardware and software. One of its uses is teaching aids in physics practicum, especially simple harmonic motion. Digital technology can shorten the time in the implementation of practical work in the field. In this study aims to design a simple harmonic motion practicum tool using Arduino Uno based on IR resistance sensors. Data was collected using a small angle of 10° with variations in the number of waves and time obtained. The results will be displayed on the LCD. This study also compares the results of recording digitally and manually. Based on the data obtained, the results of digital experiments are more accurate than the results of manual experiments with an accuracy of 96.69% and digital SHM device experiments also show precise results. So that digital SHM tools can be performed on physics experiments in simple harmonic motion material.
Complex permeability, permittivity and microwave absorption properties of barium hexaferrite synthesized from natural iron sand
Authors: Handoko E , Sugihartono I , Marpaung M A , Budi S , Fahdiran R , Randa M , Jalil Z , Alaydrus M 
Published: April 2021

Abstract
In this paper, the barium hexaferrite was successfully prepared by a conventional ceramic method and the precursors of BaCO3 and natural iron sand from Puger Beach, Jawa Timur-Indonesia. To develop a microwave absorbing material, the complex permeability, permittivity, and microwave absorption ability were investigated using a vector network analyzer (VNA) in the frequency range of 8.2-12.4 GHz. The results showed that barium hexaferrite presented an excellent broadband absorption (>90%, RL <-10dB) and a suitable absorber with high broad bandwidth and attenuation in the microwave frequency range.
Markerless augmented reality: Display Compton scattering model
Authors: Bakri F , Sumardani D , Muliyati D 
Published: April 2021

Abstract
Simulations were performed using markerless augmented reality on the concept of Compton scattering. Compton scattering identifies that photons can not only behave as waves but also behave like particles. The process of colliding photons with electrons causes dispersion which shows that the photon has momentum. This article will explain a photon collision simulation to prove the state of light dualism by utilizing augmented reality technology. The development of this simulation was tested using the black-box testing method. Interactive media using augmented reality for Compton scattering simulations can display the concept of collisions between photons and electrons. Our simulation successfully simulates the mechanism of energy release and momentum changes before and after the contact.
Analysis of concept understanding and skill of problem solving on circular motion topic using Creative Problem Solving model
Authors: Pratiwi H Y , Jufriadi A , Trisilawati C V , Ayu H D , Sujito S 
Published: April 2021

Abstract
Technology development in 4.0 industrial revolution era demands students to have 21st century skills, one of them is the skill to solve problems. The aim of the research is to describe and analyze the concept understanding and skill of physics problem solving on circular motion topic using creative problem solving (CPS) model. The research was conducted in one of State High Schools in Malang. The sample consisted of sixty eight students divided into one experiment class group and one control class group. The technique of data collecting used test of concept understanding in the form of multiple choices and test of problem solving in the form of problem analysis. The data analysis used two-ways anova. The result of the research shows that there are; concept understanding of students that are taught using CPS is higher than using Problem Solving (PS) model, (2) concept understanding of students who have high and low problem-solving skills that are taught using CPS is higher than using PS model.
Measurement system development of refractive index, salinity and magnetic field parameters on liquid waste polluted water
Authors: Indrasari W , Umiatin U , Fitriani N 
Published: April 2021

Abstract
A Prototype of liquid waste polluted water measurement system based on refractive index, salinity, and magnetic field parameters, has been developed. The instrument consists of Potentiometer, Light Dependent Resistor (LDR), conductivity sensor, Hall Effect sensor, and microcontroller. Potentiometer and LDR sensors are used to measure the refractive index, a conductivity sensor as the salinity measurement device, Hall Effect sensor as a magnetic field detector, and Arduino UNO as the control system. Each sensor has been characterized using a standard measuring instrument to determine sensor sensitivity. The characterization results showed that the refractive index sensor has a sensitivity of 321.8 mV/refractive index unit and a relative error of 0.35%. The conductivity sensor has a sensitivity of 415.2 mV/ppt and a relative error of 5.26%. The magnetic field sensor has a sensitivity of 0.0077 Volt/Gauss and a relative error of 4.29%. The prototype was used to measure the water quality of an artificial wastewater and river water samples. The artificial wastewater was made of the composite of water, salt, and liquid soap with different concentrations, and the river water samples were taken from ten different regions. The results show that the addition of salt and liquid soap concentration was directly proportional to the refractive index, salinity, and magnetic field. All samples have salinity below the normal threshold of <0.5 ppt.
Applying differential equations for study magnetohydrodynamic phenomenon on the solar surface
Authors: Sujito S , Wisodo H , Pratiwi H Y , Setyahadi B , Soewono E , Suhandi A , Liliasari L 
Published: April 2021

Abstract
The aim of this research is to study the magnetohydrodynamic (MHD) phenomenon on the solar surface by apply differential equations. We are trying to understand and explain the processes from observable solar layers to deeper layers, by using plasma theory and data analysis that may construct understandings to solar physics. This research is done by combining the MHD simulation and data of solar observation results. MHD simulation was carried out in the theoretical laboratory, physics department, UM. Data on the sun’s observation were obtained from LAPAN Watukosek Jawa Timur. The results of this study are the coronal solar helmet streamer structure is degraded and the MHD equilibrium ends before it erupts. This is shown by the simulation results using data obtained from observations, namely the degradation of colors from the strongest to the weakest. This shows the existence of weakening energy before finally experiencing an eruption. The phase was terminated by the coronal mass eruption (CME). Activity to the surface of the corona to the inner layer is outside our technology to observe directly. Therefore, the conclusions in this article are made using the plasma flow approach at high temperatures.
Logic Controller-Based Discontinuous Reception (DRX) System for NR
Authors: Zhang Ziyang , Zhang Xin 
Published: April 2021

Abstract
In Long Term Evolution (LTE) system, discontinuous reception (DRX) mechanism is widely used as a reliable and effective means of reducing energy consumption. Moving to 5G New Radio, the application scenarios of massive Machine Type of Communication (mMTC) have become increasingly clear, which will support ultra-large-scale device accessing into the network. Therefore, the need for energy efficiency improvement of terminal equipment is becoming more and more urgent under 5G NR. In this paper, a logic controller-based DRX system was proposed to make original DRX more efficient. With logic controller, DRX parameters can be adaptively adjusted by learning the information of historical delay time and packets arrival rate. And then, a better performance of energy conservation will be achieved. Simulation results show the performance improvement of the proposed DRX system.
A Broad Learning System to Enhance Performance of Speech Emotion Recognition
Authors: Xu Zhuofan , Yang Xu 
Published: April 2021

Abstract
Speech emotion recognition (SER) is a difficult task because emotions are subjective and recognizing the affective state of the speaker is challenging. To tackle this issue, Broad Learning System is presented to balance the training of networks that are substantially faster than those used previously. Furthermore, we performed experiments on the standard IEMOCAP dataset and achieved the state-of-the-art performance in terms of weighted accuracy and unweighted accuracy. Taken together, the experimental results demonstrated that applying Broad Learning System to SER is reasonable and useful.
remote sensing image striping noise algorithm based on region-weighted double sparse constraint
Authors: Zheng Yi , Zhou Feng , Wang Guoyou 
Published: April 2021

Abstract
Infrared remote sensing image has been used in many fields such as land cover crop monitoring, climate monitoring, military strike and early warning. In spaceborne remote sensing imaging system, the stripe is a common noise, seriously affects the researchers’ study of the ground scene. In recent years, the framework that researchers based on different principles use a variety of methods to remove fringe noise in infrared remote sensing images is proposed, such as filtering based method, the method based on statistics, however, most current algorithm still exist the following two problems: some structure or texture was easy to be mistaken as the stripe noise and removed, lost the original information of the image; in some bright or dark areas, it is easy to create artificial traces, adding redundant information and making the denoising result look unnatural. In view of the above two problems, this paper will analyse the causes of the problems and propose a stripe noise removal algorithm based on the region-weighted doublesparse constrained unidirectional variational model, which can effectively reduce the above two phenomena.
Text Detection in Trademark Images under Semi-Supervision
Authors: Shi Xupeng , Wang Shaozhi , Tan Xiao 
Published: April 2021

Abstract
The texts in trademark image usually contain characters, text lines and other different parts. Therefore, compared with the detectors that can detect text lines directly, the detector that can detect characters is more suitable for the detection of texts in trademark images However, training character detectors needs a huge number of characters with position annotation, the con-struction process of this type of dataset will take a lot of time. In order to overcome the limitations of the detectors trained by datasets with word-level annotations and the shortage of datasets with character-level annotations, we propose a text detect method that can detect the single character in trademark images. Our proposed model is pretrained by the synthetic image dataset with character level annotation, then the pretrained model is used to detect the unannotated trademark images dataset to find more annotations for retrain the pretrained model. We also construct a trademark text dataset, which includes 4500 images. Experimental results on our dataset demonstrate our method can achieve the state-of-the-art performance compared to other methods. The results show our detector can detect complicated texts in trademark images.
The Integration of Polarization Splitter-Rotator and Photodetector in Optical Receiver
Authors: She Xiaojuan , Liao Han , Zhao Yingxuan , Zhu Junbo , Li Yang , Tao Lue , Zhu Zijian , Huang Rui , Liu Xiang , Qiu Chao , Huang Haiyang , Sheng Zhen , Gan Fuwan 
Published: April 2021

Abstract
Because of high-index contrast Si/SiO2 system, polarization sensitivity is a severe problem in photonic integration devices. In this paper, we design a integration devices comprised of polarization splitter-rotator (PSR) and germanium photo detectors (PDs) on chip. The integration of PSR and PD can realize the integrated layout which can realize the measurement of PSR polarization properties. After calculation, the on-chip loss of the polarization beam splitter is 1.19dB, and the polarization isolation of the system is 14.59dB/5.141dB in TE0/TM0 mode.
Research Analysis of PCB Design’s Influence on DDR4 Highspeed Signal Integrity
Authors: Li Fang 
Published: April 2021

Abstract
With the increase of the signal transmission rate of electronic devices and the increase of the PCB wiring density, PCB design has a growing influence on signal integrity. To reduce the number of the problems concerning signal integrity at the initial stage of electronic product design and increase the success rate of the designing of electronic products, some interference signals of PCB are canceled to improve the accuracy of signal integrity test, with the high-speed parallel bus of DDR4 as an example. Analysis is done through measurement of various simulation tools to change the PCB design parameters of DDR4 data transmission line, hence the optimum wiring method will influence the signal quality. Meanwhile, RC parallel impedance matching optimization is carried out to deal with the impedance mismatch at the network load end. In this way, the problem concerning DDR4 high-speed signal integrity is effectively solved.
A dynamic power control scheme based on node priority in V2X
Authors: Li Huiwen , Zhang Xin 
Published: April 2021

Abstract
V2X (Vehicle-to-everything) is aimed to provide efficient data sharing among communication nodes in traffics. In order to guarantee the quality of communication, V2X need to support node priority as one of QoS (Quality of Service) mechanisms, which is related to nodes’ different requirement of message dissemination. Therefore, a dynamic power control scheme based on node priority for V2X is proposed. By assigning distinct power adjustment range for each level of node priority and incorporate distribution of neighbouring nodes’ priority into power setting, it’s able to achieve flexible power control and differentiated communication performance. The performance of proposed scheme is testified through network simulation.
Research on vehicle cruise control based on online asynchronous supervised reinforcement learning
Authors: Han Zhonghai , Yang Liangyi , Zhang Qiang , Fan Jie 
Published: April 2021

Abstract
This paper proposes a vehicle cruise control strategy based on asynchronous supervised reinforcement learning, which improves the driver’s reception in the process of vehicle deceleration and following. The control strategy takes actor-critic network as the basic control unit, which guides the control strategy to achieve driver-likely cruise effect by adding real driver cruising data into the supervision network. Simultaneously, combined with the driver online feedback mechanism for real-time training, it realizes offline training and online updating of network parameters. The simulation results show that the asynchronous supervised reinforcement learning algorithm can quickly update the parameters of the control network, and constantly update the control strategy by online learning combined with the actual driving data to better simulate the driver’s driving characteristics.
Depth Guided Cross-modal Residual Adaptive Network for RGB-D Salient Object Detection
Authors: Zhao Zhengyun , Yang Qingpeng , Yang Shangqin , Wang Jun 
Published: April 2021

Abstract
Depth modal features can provide complementary information for salient object detection (SOD). Most of the existing RGB-D SOD methods focus on fully combining RGB and Depth modal features without distinguishing them. In this paper, we propose a new depth guided cross-modal residual adaptive network for RGB-D SOD. We use two independent resnet-50 to extract the features of the two modes respectively. Then the cross-modal channel-wise refinement module is designed to obtain complementary modal information. We design a crossmodal guided module to make complementary modal information guide RGB image feature extraction. Finally, the residual adaptive selection module is used to enhance the spatial mutual concerns between the two modal features to achieve multimodal information fusion. Experimental results show that our method can achieve a more reasonable fusion state of RGB and Depth, and verify the effectiveness of our final saliency model.
Calculation of the degree of polarization based on the correlation between reflection and transmission
Authors: Zhang Jinghua , Zhang Yan , Shi Zhiguang , Yu Zhang , Feng Ling , Di Liu , Xiaoran Shi , Yuchang Suo 
Published: April 2021

Abstract
Polarization is a basic property of light. In nature, polarization is mainly caused by the refraction and reflection on the surface of objects. The polarization of light can be measured quantitatively by the degree of polarization. By calculating the degree of polarization of an object’s surface, we can obtain the effective information for target detection, recognition, material judgment, and so on. The reflection and refraction effects occur simultaneously on the surface of transparent objects, so the measurement of the degree of reflection and transmission polarization is a challenge problem. In this paper, a method based on normalized crosscorrelation is proposed to extract the zero point pixels, and the degree of reflection and transmission polarization can be effectively calculated by using the zero point pixels.