bluuebunny/crossref_metadata_2025_split huggingface dataset:
Design and Development of Mobile Application in Indonesian Language Learning For Foreign Speakers Level A1
Authors: Seri Ermyna , Sutrisno Wiwinta 
Published: April 2021

Abstract
This paper describes about the design and development of Android mobile platform application in the learning of Indonesian Language for Foreign Speakers as the term used Bahasa Indonesia bagi Penutur Asing or as abbreviated BIPA. The Android Studio is used to create and set up a set of application programming interfaces (APIs) and Kernel Linux Platform. The interface program was designed to give effectiveness and flexibilities required in the process of learning. The program code was written and installed in the users Smart Phone. The official language programming used for Android development is Java to make the program running easily for the users to use the application because the mobile application does not use many resources. Once the application was ready, then installed into various types of Smart Phone with various Android platforms, and tested. The program was tested to BIPA foreign students who were learning BIPA Level A1 to see if the program ran well. This aimed to test its effectiveness and impact. The data of pre-test and interview were collected from foreign students who have already learned Indonesian language before and who were never in order to see the baseline of respondents competencies. Pre-test, Post-test and interview test scores were compared to see if there was an increase in respondents competencies. The research findings shows that there was a significant increase on the foreign students’ skills. The increase on the written test through pre-test and post-test showed by 30% and 18 % on the interview. In contrast, the most significant increase was occurred in the group of students who never learned before. This increase showed by 56%, whereas the increase in the group of foreign students who have already learned Indonesian language showed by 12%. Furthermore, this increase significantly also occurred in interview at 32% to the group of foreign students who never learned Indonesian language before and 8% to the group of foreign students who already learned Indonesian language. This findings shows that Mobile Application provides effectiveness, efficiency, flexibilities, and accelerated learning to the group of foreign speakers who never learned BIPA before.
Application of C4.5 and Naïve Bayes Algorithm for Detection of Potential Increased Case Fatality Rate Diarrhea
Authors: Wahyudi Mochamad , Andriani Anik 
Published: April 2021

Abstract
Case Fatality Rate or mortality percentage due to some extraordinary events (outbreaks) diarrhea in Indonesia is still above target expected by the government. Several factors have been known to be the cause of diarrhea, but the most influential factor to increase Case Fatality Rate of diarrhea is not known. Therefore, the purpose of this research is to create classification from diarrhea outbreaks data to obtain the data patterns in the form of classification rule that can be applied to detect Case Fatality Rate of diarrhea. Classification used the C4.5 algorithm and Naïve Bayes algorithm. C4.5 algorithm is a popular algorithm with decision tree approach, while Naïve Bayes algorithm is a popular with probabilistic approach in classification. Research implementation uses the stages in Knowledge Discovery in Databases. After obtaining the classification rule, this rule evaluated by Confussion Matrix and Receiver Operating Characteristic Curve. The evaluation was done by using training data and testing data. The evaluation result in this case indicates that C4.5 algorithm has a higher accuracy level than Naïve Bayes. While the factors that most influence in the Case Fatality Rate increase in diarrhea diseases are shelter and sanitation.
Find the Best Rule of Time Series Data Mining with Cluster Analysis
Authors: Buaton Relita , Zarlis Muhammad , Mawengkang Herman , Efendi Syahril 
Published: April 2021

Abstract
Data mining is an analytical process of knowledge discovery in large and complex data sets. Many studies wish to explore data, to find information so that knowledge can be obtained through the grouping process, classification, rules discovery, associations and data mining visualization which shows similarity. Periodic data often occurs in business applications and sciences that has big size, high dimension and continuously updated. The similarity in periodic data is based on several approaches. One of common approaches is to transform periodic series into other domains so that dimensions are reduced, followed by index mechanism. Many studies of time series do not give optimal result because limited to extracting data not able to represent time series and its pattern which is then change into rules. Rules can be found in time series data, but they are still constrained by over fitting and difficult to present. It causes time series data and non linier function of data mining decision can’t be optimal. The basic idea in the method proposed is to do periodic discretization for sub-sequential formation. These sub-sequences are grouped through a measure of similarity. The simple rule-finding technique is applied to obtain hidden rules in the temporal pattern. The optimal time series data expected to generate the uncertainty trend, previously unknown and can be used to make decisions or forecasting in the future.
Mathematical Modeling of Facilitated Transport of Eu(III) ion by CMPO in Modified diluents as Extractant
Authors: Kumar Rohit , Kandwal Pankaj 
Published: April 2021

Abstract
A simplified model has been developed to model the pertraction of Eu(III) through the flat-sheet supported liquid membrane (FSSLM) impregnated with CMPO in modified diluents as extractant. The solvent extraction studies of europium were performed under different experimental conditions and some of solvent extraction (SX) data were taken from literature as required to obtain some basic parameters of mathematical modelling for the mass-transfer process. The metal ion transport through liquid membrane is facilitated by diffusion and formulation of model is, therefore, governed by law of diffusion. Effect of various parameters on transport rate of Eu(III) ion, such as ligand concentration, feed acidity, diluent composition etc., has been predicted.
Single Valued Neutrosophic Numbers and Applications in Selection Criteria
Authors: Gahlot Sapna , Saraswat R. N. 
Published: April 2021

Abstract
A SVNN is just a common number whose exact worth is to some degree dubious from a philosophical perspective. Presented single valued neutrosophic numbers (SVNN) which is a speculation of fuzzy numbers and intuitionistic fuzzy numbers. Here, we will discuss about special types of SVNN. Additionally, presented a few procedures on single valued trapezoidal. At last, developed single valued trapezoidal neutrosophic measure and its applications in multi-criteria decision making.
An investigation on existence and uniqueness of solution for Integro differential equation with fractional order
Authors: Sarkar Nimai , Sen Mausumi 
Published: April 2021

Abstract
Present article deals with some theoretical results regarding the solution of integro differential equation with integral boundary condition. Main idea is to covert the integro differential equation into corresponding integral equation. Then we adopt a suitable transformation to implement Banach contraction and Schaefer-Krasnoselskii fixed point Theorem. Finally by properties of fractional calculus and fixed point theory we derive the main results. An example is considered for the verification of theoretical work.
Entropy generation in thermal radiative oscillatory MHD couette flow in the influence of heat source
Authors: Sharma Tarun , Sharma Pooja , Kumar Navin 
Published: April 2021

Abstract
Entropy generation and their minimization for magnetohydrodynamic oscillatory couette flow through a vertical channel, soaked with a porous medium in the existence of heat source and thermal radiation has been deliberated. In the present analysis, flow governing equations are elucidated and extricated with the help of analytical technique for the fluid velocity profile, temperature field, irreversibility distribution and Bejan number. Also, the numerical value of dimensionless shearing stress and heat transfer coefficient are obtained and presented through tables with reference to flow governing parameters. It has noticed that entropy generation can be regulated or minimized with the change in the applied magnetic field and thermal radiation, and this result is useful in several thermodynamic industries and engineering field for attaining the high performance of devices with minimum heat loss.
Studies on the interaction of Na+ ion with binary mixture of carbonate-ester solvents: A density functional theory approach
Authors: Tiwari Sakshi , Gupta Abhishek Kumar , Gupta Shivani , Gupta Sarvesh Kumar , Chaurasia Sujeet Kumar 
Published: April 2021

Abstract
The advancement of sodium-ion batteries as an alternative to lithium-ion batteries presents a viable way to make energy storage cost-efficient. However, the inherent properties of Na+ are not quite well understood as it is for Li+, which also include solvation of Na+ in non-aqueous electrolyte for its application in electrochemical devices. Here, a comprehensive study of Na+ solvation in the binary mixture of ethylene carbonate (EC) and propylene carbonate (PC) in different ratios is reported, using density functional theory calculation. The optimised structure of cluster of binary mixture EC-PC-Na+ in three different ratios (1:1, 2:1 and 3:1) of EC: PC is analysed. Binding and Gibbs free energy of Na+ solvated by EC and PC and charge on Na+ is calculated. The calculated results favour the stability of binary mixtures containing higher concentration of ethylene carbonate. In infrared (IR) vibrational spectra, substantial changes are observed in the IR active modes of the solvent because of cation-solvent interaction.
The First Principle Investigation for the Structural and Optoelectronics Properties of Tetragonal Compound CaCN2
Authors: Khan K , Gaur A , Ahuja U , Soni A , Sahariya J 
Published: April 2021

Abstract
The present study deals with the structural, electronic and optical properties of CaCN2 ternary compound. For the computation of structural, electronic and optical properties of the CaCN2, the Perdew-Burke-Ernzerhof generalized gradient approximation (PBE-GGA) exchange correlation within the framework of density functional theory as available in Wien2k code is used. Wien2k code is based on full potential linearized augmented plane wave method. The electronic properties are investigated in terms of energy band structure, partial and total density of states. Our investigation reveals the direct band gap nature of CaCN2 with band gap of 1.66 eV. The optical behaviour CaCN2 is explained through dielectric tensor, absorption, reflection and refraction spectra which show the utility of this compound in photovoltaic applications.
Power Optimal Control Method of Network Big Data for Mechanical Vibration Wireless Sensor
Authors: Wang Kai 
Published: April 2021

Abstract
With the gradual deepening of research on wireless sensor networks at home and abroad in recent years, some wireless sensor network application systems have emerged in the fields of academic research and engineering applications. Especially in the industrial field, wireless sensor network, as a new information perception technology, has attracted more and more attention due to its advantages of self-organization, flexible deployment, strong scalability, and on-chip processing capabilities. The purpose of this paper is to study the power optimization control method of wireless sensor of mechanical vibration by network big data. In view of the current problem of power control of mechanical vibration wireless sensor network nodes, first, under the premise of ensuring the accuracy of data collection, the key factors affecting the power control of mechanical vibration wireless sensor network nodes are analyzed, the wireless sensor power control model is designed, and the network big data is proposed. Impact on the power of wireless sensors; finally, based on the above research, the fuzzy power control algorithm and its simulation are specifically studied. First, a point-to-point transmission power control system model is designed, and the fuzzy logic controller module is designed in detail, including fuzzy Part of the membership function design, fuzzy rule determination and the use of defuzzification methods. Then use simulation tools to build a point-to-point simulation model and a simulated network simulation model. Finally, these two models are used to compare the performance of fuzzy power control algorithm and fixed power method. The experimental results show that the network survival time using fuzzy power control algorithm is twice that of the fixed power method. The fuzzy power control algorithm has great advantages in both effective communication distance and network survival time.
A Device Used for The Elevator Shaft Wall out of Tolerance Measurement Based on The Laser Ranging Technology
Authors: Lin Yang 
Published: April 2021

Abstract
The national safety technical specifications and standards have clear provisions on the distance between the elevator car and the well wall facing the car entrance. Current measuring methods are lower measurement efficient and accuracy, and poor repeatability. With the increasing number of elevators, this traditional method is far from meeting the requirements of practical work. This paper studied on the Laser ranging technology applied to the distance measurement aiming to overcome those problems. The new measuring equipment was consisted of the laser ranging module, rotary encoder and Bluetooth module, which can measure and record all data related to the distance between the car and the car entrance shaft wall. The advantages of the new device are higher repeatability and reliability, which greatly improve the measurement efficiency. It is suitable for measuring the distance between elevator car and shaft well of high-rise building, thus the inspectors can be free from the heavy work of measurement.
Application and Development Trend of Artificial Intelligence in Enterprise Marketing
Authors: Li Runfa , Cao Zheng , Ye Huan , Yue Xianghua 
Published: April 2021

Abstract
Technology changes life. At present, the application of “artificial intelligence” is becoming more and more popular in enterprise marketing. The application and planning of artificial intelligence has gradually become the core competitiveness of some enterprises in the development process. This paper focuses on “research background”, “application of artificial intelligence in enterprise marketing” and “development trend of artificial intelligence in enterprise marketing”. It is hoped that “artificial intelligence” will be taken as the breakthrough point to further explore the marketing mode of enterprises in the new era in China, and gradually standardize the application and development of artificial intelligence.
Application Research of Power System Automation Based on Electrical Automation Technology
Authors: Li Xuxin 
Published: April 2021

Abstract
Power is an indispensable energy in our daily life, and the power system is to manage and maintain the normal supply of electricity, which directly affects the stability of the entire power network. At present, China’s power network is in an important upgrading stage, from the traditional power system to intelligent power system, in this process, automatic electrical technology plays an important role. Therefore, based on electrical automation technology, this paper puts forward the application research of power system automation. This paper deeply studies the power system and the application of automation technology in power system in China. It is considered that PLC and automatic power detection technology, which are extended from electrical automation technology, play an important role in the whole power system operation process. But at present, there are still many deficiencies in the power system based on electrical automation technology, including the problem of large measurement error. Therefore, this paper proposes an improved optimization method. The experiment shows that the maximum error of the improved method is 0.125%, especially in the case of synchronous current power grid frequency of 50 Hz, the error rate is 0. The results show that the optimized method has good measurement accuracy. According to the actual application of the existing electrical automation technology in the power system, this paper puts forward the optimization and improvement measures, and forecasts and analyzes the future application development trend.
Optimal Energy Dispatch of Integrated Electricity Substation Considering the Operational Uncertainties in an Edge-Cloud Environment
Authors: Cheng Zhihua , Wang Honggang , Yang Chengyue , Ji Xin , Zhao Xiaolong 
Published: April 2021

Abstract
Along with the increasing challenge of optimal energy dispatch in an integrated electric power substation, this work presents a model to construct a typical substation system. Based on the solution framework of model predictive control, the joint scheduling problem of stochastic renewable energy and battery energy storage in the substation is effectively solved. Through the substation optimal operation model, the economic operation of the substation is realized. At the same time, the randomness and robustness of the model are studied through simulation It only includes wind turbine, gas turbine, battery energy storage and other equipment, but the scheduling model can be easily extended to more complex substation system with more distributed energy.
Deep Reinforcement Learning based Applications in Smart Power Systems
Authors: Chen Yong , Peng Xiangjun , Xu Xianchao , Wu Hao 
Published: April 2021

Abstract
Due to the complexity, uncertainty and the increase of data dimension in power systems, conventional methods often encounter bottlenecks when trying to solve decision-making and control problems. Therefore, data-driven methods to solve these problems are being widely studied. Deep reinforcement learning (DRL) is one of these data-driven methods and is regarded as true artificial intelligence (AI). It has been applied to solve a series of complex sequential decision-making problems, including those in the power system. This paper first reviews the basic idea, model, algorithm and technology of DRL. Then its application in power systems is considered, such as energy management, demand response, electricity market, and operation control. Also, the latest development of DRL in the power system is discussed.
Wide Application of Computer Information Technology in the Practice of Physical Education
Authors: Liu Chunding 
Published: April 2021

Abstract
With the rapid development of high and new technology, leading the 21st reality, computer information technology has increasingly taken up an irreplaceable role in all aspects and has become one of the most basic tools in all walks of life. Physical education practice is one of the most important links in the education system of our country. Of course, computer information technology was introduced to support education. Based on computer information technology, this paper analyzes the university physical education and summarizes its development trend. First of all, by explaining the current situation of physical education technology and the characteristics of network education, this paper puts forward the idea of College Physical Education under the network information education environment of organically integrating high education concepts and information techniques. The integration of network teaching into physical education has affected the traditional concepts of physical education and promoted the reform of physical education. It analyzes the application prospects of computer information technology in improving work efficiency, scientific management and improving teaching methods in physical education practice, and proposes that computer information technology will show a broad development space for physical education. And this article selects 100 students from two classes of physical education major of the University of Physical Education to conduct a practical investigation. The experimental research results show that in recent years, people have made continuous efforts to explore and research, apply computer information technology to physical education, and have achieved relatively good results. Based on the analysis of the advantages of computer information technology in physical education, this article further explores how to make full use of the advantages of computer information technology to provide an effective basis for the optimization and improvement of physical education in my country.
Development Mode of Internet Economy Based on Artificial Intelligence Technology
Authors: He Jiangnan , Yin Xiaoyin 
Published: April 2021

AbstractBased on the background of artificial intelligence technology, there are different situations in the mutual development of the Internet economy and artificial intelligence technology, which has a relatively large impact on the healthy development of my country’s Internet economy. Whether it is Internet economy or artificial intelligence technology, their ultimate development goal is to achieve the rapid development of our country’s economy. This article will conduct an in-depth analysis of the role of artificial intelligence technology in the development of the Internet economy and study its huge commercial value in the development of the Internet economy. This article first analyzes the relevant concepts and characteristics of artificial intelligence technology in the development of the Internet economy, briefly describes the analysis of the development of my country’s network market economy, and compares the development of artificial intelligence technology in the market Internet economy with the traditional substantive economic development model. Subsequently, it demonstrated the necessity and feasibility of implementing artificial intelligence technology for the development of the Internet economy, and conducted investigations and studies on the way that 10 Internet companies in the east coast of China used artificial intelligence technology to improve economic development. Finally, it puts forward a targeted strategy for accelerating the improvement of Internet companies in the network economy market and future development goals. The experimental research results show that the application of the Internet and artificial intelligence technology has brought us great convenience, and at the same time promoted the growth of our country’s economy, and created huge economic benefits for our country.