bluuebunny/crossref_metadata_2025_split huggingface dataset:
Research on Artificial Intelligence Algorithm for Reactive Power Optimization of Distribution Network
Authors: Yue Chao , Yuan Lamajia 
Published: November 2019

Abstract
Reactive power optimization of power system is a complex problem with many variables. Its variable type from the continuous variable, namely, have discrete ‘variable again. In this paper, genetic algorithm is adopted as the reactive power optimization algorithm, and the minimum loss of active power network is selected as the objective function to discuss the reactive power optimization method of distribution network.
Research on the Impact of Internet Evolution on Accounting Information System Based on Data Mining
Authors: Gejing Xu , Yang Lan 
Published: November 2019

Abstract
The evolution of accounting is influenced by the accounting environment, and the most important one is the Internet environment. At present, the Internet is gradually moving towards the direction of cloud computing. Therefore, the author based on data mining on the evolution of the Internet on the impact of accounting information system to carry out research. The control weakness and risk of accounting information system based on Internet are analyzed. The research results show that the Internet itself has the characteristics of openness, globality, low cost and high efficiency. It will first change the business operation and management activities of the enterprise, which will affect the economic operation of the whole society. Therefore, enterprises must make revolutionary changes in accounting and other aspects to adapt to the requirements of the network era. This study has important practical significance for clarifying the direction of development, optimizing the construction of accounting information systems, and achieving sustained and comprehensive development.
Research on denoising optimization algorithm of point cloud in 3d reconstruction
Authors: Li Yan , Zhou Fugen 
Published: November 2019

Abstract
3 d reconstruction have become increasingly important in today’s information age, has become a bridge between real world and computer, usually in the access to the image due to factors such as equipment or environment are people hope there are a large number of high frequency signal, the pretreatment of the 3 d reconstruction is the most basic and crucial step in the technology. In this paper, an optimized adaptive filtering de-noising algorithm is proposed. The concept of minimum intra-class dispersion is introduced into the algorithm, and the genetic algorithm is used to find the optimal threshold, so as to eliminate the disadvantages of the algorithm in searching the scattered point cloud data and promote the overall performance of the algorithm. In this paper, the algorithm improves the speed, simplifies the initial point cloud model, and eliminates a large number of invalid points from the subsequent filtering algorithm.
Research on Risk Management of Big Data and Machine Learning Insurance Based on Internet Finance
Authors: Liu Quanpu 
Published: November 2019

Abstract
Insurance risk is one of the important risks faced by the insurance industry. Effective management of insurance risk is of great significance for preventing systematic risks in the insurance industry and stabilizing the stability of Chinese financial market. Risk management of insurance companies is a technical method to identify, measure and control risks. Its purpose is to directly and effectively promote the realization of organizational goals. Machine learning has a good ability to deal with non-linear classification problems. The risk assessment model based on machine learning can effectively improve the accuracy and applicability of risk assessment. The paper mainly discusses the important role and significance of big data and machine learning as an emerging data analysis method for insurance risk management, and introduces the random forest algorithm and its application in underwriting risk management.
Research on SDP Key Technology in 5G Mobile Communication System
Authors: Cai WanXiong 
Published: November 2019

Abstract
With the fifth generation mobile communication system research all-round, mobile communications company will according to the different network deployment, and related business needs through the software defined radio network control, and through data separation, the characteristics of the networked service section for customization to provide users with reasonable network services, in order to achieve flexible data transmission, network server sliced by SDP network function in the traditional mobile communication network data transmission protocol stack, combining with the code level analysis of input and output from the design, so as to achieve expected.
Computer Redundancy Management Technology Based on Non-Similar Platform
Authors: Fu Linglan 
Published: November 2019

Abstract
In order to study an efficient and reliable platform management computer, a non-similar platform management computer technology is designed. According to the structural characteristics of the computer management platform, a redundancy management strategy is developed. The redundancy management strategy of processor is studied. Then the priority order and voting strategy of four processors are determined, and several typical failure modes in practical work are discussed in detail. In order to verify the correctness of the synchronization strategy and redundancy management strategy, the principle prototype was tested, including the test of synchronization accuracy, typical debugging results and double redundant bus switching effect. The results show that the system runs stably and the four processor has good synchronization. It can achieve two fault works and three fault safeties, and it can realize bus switching.
Study on Multi-Objective Dynamic Optimization Method for Architectural Engineering Based on BIM
Authors: Wang Guangjun , Han Qi 
Published: November 2019

Abstract
At present, there are still many problems in the construction industry, such as low production efficiency, extensive production mode, high energy consumption, relatively backward technology and management mode. In this paper, we take use of BIM to establish a unified multi-dimensional optimization information model with multiple target of duration, cost and quality. And then, we propose a multi-objective mathematical model to improve the adaptive genetic algorithm. It helps to comprehensively realize the management and control of the three major objectives in engineering construction, and promotes the popularization and application of BIM technology in the construction industry.
Design and Implementation of Sport Virtual Museum Management System Based on ASP.NET
Authors: Liu Xiaofang , Liu Yan 
Published: November 2019

Abstract
At present, more common sports virtual museums are written in the language, but there are several problems in the following need to manually write code, which makes the efficiency of the creation of a museum is relatively low. Unable to connect to the database, the user can not use the unified management and use of the information. Due to the response of the event in the roaming process is the use of sensor mechanism, the function is relatively simple, so it can not meet the needs of users in the process of roaming. The sports virtual museum system mentioned in this article can solve the above three problems well. The system provides a convenient and efficient relics database management, database management, the establishment of virtual Sports Museum two-dimensional graphs of, sports virtual museum 3D browsing and other functions, the system is divided into three module user and relics database management module, physical virtual museum design module, Physical Virtual Museum browsing module. For user and relics database management module of cultural information and user information in the database management operations, the user can the cultural relics of the relevant information and model file and texture file stored in the database on the server according to the demand.
Research on Operation, Repair and Simulation Training Method of Electrical Equipment in Substation Based on Virtual Reality Technology
Authors: Xue Zhicheng , Gao Wenjiang , Li Xuan , Wu Weinan 
Published: November 2019

Abstract
Virtual reality technology is applied to substation training and a substation training system is established. Based on virtual reality technology, this paper studies the methods of substation electrical equipment operation, maintenance and simulation training. The overall structure of the substation training system is given, and the functions of the substation training system, the system software and hardware environment configuration and the object modeling method are introduced. The research results show that the application of virtual reality technology to construct virtual environment for substation simulation system can greatly improve the realism of substation scene. At the same time, the power system simulation software is connected with the virtual substation to simulate the various operating states of the substation, which brings a technological leap to the substation simulation training work.
Proficiency Testing for Determination of Ductility of Asphalt by Itera-tion Robust Statistic Technique
Authors: Wang Hao , Lin Zhenxing , Wang Qunwei , Ni Fengping 
Published: November 2019

Abstract
In order to investigate and improve the detection level of ductility of asphalt of laboratories, proficiency testing provider PT0031 (CNAS) has organized a proficiency testing program of ductility of asphalt of CNCA, and 87 laboratories from 21 provinces/cities/municipals and Taiwan took part in this PT. This work introduced the implementation process of proficien-cy testing for determination of ductility of asphalt, including the sample preparation, homogeneity and stability test, and the results of statistics of iteration robust statistic technique and analysis, summarized and analyzed different test standards widely used in the laboratories, and put forward the technological suggestions for the improvement of test quality of ductility. Satisfactory results were obtained by 85 laboratories, amounting to 97.7% of the total participating laboratories.
Designing a building automation system with open protocol communication and intelligent electronic devices
Authors: Suhanto S. , Faizah F , Kustori K. 
Published: November 2019

Abstract
Building Automation System (BAS) is a microprocessor-based control network setup for controlling a building’s technical service systems such as air conditioning, ventilation, lighting, and hydraulics. BAS main microcontroller automatically handles all electronics in the building. To control the liked devices to suit the needs of the buildings’ occupants, the controller needs to be smart or intelligent. The system will be very flexible if the communication network between control and device used an open communication protocol. In this paper, we present a miniature BAS solution implemented using intelligent electronic devices (IED) as controlling devices. The system is built using 8-bit microcontrollers, sensors, and actuators. There are three IED in use, each handling lighting, air conditioning, and water pumps respectively. Communication between the devices and the human-machine interface (HMI) used the free and open Modbus TCP protocol.
The design of the brantas river ecological monitoring is real time with OpenCV
Authors: Irawan R H , Ramadhani R A , Helilintar R , Trianggoro D 
Published: November 2019

Abstract
Brantas River is a river that is used by the people of East Java for drinking water sources, irrigation, regulating water discharge, and tourist attractions. However, the bad habits of the people around the Brantas River now have damaged the ecology of the Brantas River, one of these habits is throwing garbage. To protect the ecology of the Brantas river, a system is needed to monitor the activities of people who dispose of garbage in the Brantas river in real time using Open CV. One of our efforts is to establish a Closed Circuit Television system to monitor the activities of residents in the Brantas river area which is commonly used by people to dispose of garbage. The system applied is used to provide moral punishment to people who throw garbage. The way this system works is to record an area that is often used by people to dispose of garbage, if people find it throwing garbage, the admin system will take pictures and crop, then the photo is processed with Open CV. The introduction of people who throw garbage is done from the front view. From the results of the trial as many as 125 times, the system can recognize faces correctly as many as 117 times (93%).
Body temperature monitoring based on telemedicine
Authors: Fajrin H R , Ilahi M R , Handoko B S , Sari I P 
Published: November 2019

Abstract
In general, medical equipment at the Hospital to monitor body temperature such as a thermometer is less effective for nurses and doctors because it takes time to come to the patient’s room to retrieve body temperature data. Then, when the patient’s condition suddenly worsens, it still takes time for the treatment process. Therefore, the authors intend to make a tool that can help nurses monitor the patient’s body temperature through an Android smartphone in real time and equipped with telemedicine that can send notifications in the form of SMS when the patient’s body temperature is outside the normal limit. The working principle of this tool is that the body temperature data received by the DS18B20 sensor that will be processed by the Atmega328 microcontroller, then displayed on the OLED LCD and sent to an Android smartphone via Bluetooth HC-05. If body temperature data is outside the normal range, the Android application will send an SMS to another recipient’s smartphone. Based on the results of the tool testing, the highest data error results is 0.829% and the lowest is 0%. For the process of sending data using Bluetooth HC-05 by taking measurements every 1 meter, the maximum distance obtained is 13 meters with a hitch. In the application of telemedicine in the form of automatic SMS sending successfully sends body temperature to other recipient’s cellphone.
Android Radio Streaming Apps for Songgolangit FM Ponorogo
Authors: Muriyatmoko D , Asy’ari N A S , Arif M S 
Published: November 2019

AbstractSonggolangit FM Radio is one of the information media in Ponorogo society. The broadcast signal has limited covered areas because of the geographical condition of Ponorogo. Then, the other media is needed to solve a problem. This research aims to expand the broadcast area using Android radio streaming apps. This research used the waterfall steps. The test using black box shows that the apps running well and have no error. The feedback from Songgolangit FM peoples expected that these apps hope could expand new user with especially to Android users. These apps can be download by all Android phone through the Google Play Store (https://play.google.com/store/apps/details?id=com.amoled.radiosonggolangit&hl=en). On the next research can measure the effectivity of radio streaming Android apps. Besides, future research also can develop its apps in other operating systems such as iOS, Tizen, Hongmeng and Blackberry mobile apps.
Indonesian High-Speed Railway Optimization Planning for Better Decentralized Supply Chain Implementation to Support e-Logistic Last Miles Distribution
Authors: Setyawan E B , Novitasari N 
Published: November 2019

Abstract
E-logistics must have better strategy because they must satisfy unpredictable demands which came from customer. Other consumer behaviours which affect e-logistics must work more efficiently are the requirement of last miles fast delivery and more competitive pricing. Decentralized supply chain model can handle all these issues and complex logistics activity although it only has one echelon model in the supply chain structure. Decentralized supply chain model doesn’t need a distribution centre but requires inventory sharing policy. Key to success inventory sharing policy is low lead time delivery. In Indonesia, only two transportation type which can handle product in low lead time, i.e., train cargo and aircraft cargo. Train cargo still needs high lead time but has low operation cost. Aircraft cargo can handle product in low lead time but need high operation cost. The trade-off in this condition is e-logistics need low lead time transportation tenant to satisfy demand until last miles delivery but has low operation cost not as expensive as aircraft cargo. Indonesia is developing high-speed train which connects Jakarta to Surabaya. In this research, we will review the level of effectiveness high-speed train in Indonesia to realized decentralized supply chain distribution network for handling e-logistics last miles shipping using dynamic system simulation. The output of this research is efficiency review of Indonesian high-speed railway cargo to support decentralized e-logistics supply chain distribution network, compared by aircraft cargo. After we perform simulation using dynamic system simulation, delivery of products between regions by using fast train is declared feasible to deliver products with fast delivery type if in one day there are six departure time (delivery batch). If less than six departures, the railway is declared unfeasible to deliver products with fast delivery type. However, the train can save about 37% batch delivery when compared to cargo aircraft.
Maturity Level Enterprise Academic Information System Based on Cobit
Authors: Lestariningsih T , Afandi Y , Setia L D , Qimyatuss’aadah Q , Echsony M E , Prihatinta T , Taali M , Srimiatun S 
Published: November 2019

Abstract
The success rate of the implementation of information systems applied to the public and private universities are necessary to determine the extent of the maturity level of the college information System management, allowing Management of the College knows what deficiencies are and in what direction the information system should be developed and managed. To find out what action to do for higher education advances need to evaluate maturity level, one of the frameworks used for evaluation is COBIT.This research uses the COBIT framework with the domain deliver and Support (DS) and Monitor and Evaluation (ME) to evaluate the maturity level of the college information system. The result of this research is the level of maturity of the college Informasai system is on good but there are some parts that need improvement, the improvement focused on the documentation of each service process on the academic information system and Oversight or control of system security as well as intense training and socialization.
Epilepsi detection system based on EEG record using neural network backpropagation method
Authors: Eviyanti Ade , hindarto Hindarto , Sumarno  , Duddin Herlian Aliyasa Alamj 
Published: November 2019

Abstract
Epilepsy is a manifestation of brain disorders with a variety of etiologies, but with the typical single symptom, periodic and reversible attacks, Epilepsy is characterized by an excess amount of electricity coming out of the brain cells, which can cause seizures and abnormal movements. EEG signals on epilepsy attacks have a characteristic pattern that allows health professionals to distinguish them from normal conditions (nonseizure). There are many methods used by researchers to recognize patterns of EEG epilepsy and non epilepsy signals in this study using Discrete Cosinus Transform (DCT) to perform the extraction of EEG signal features and Backpropagation Neural Networks for identification of EEG signal patterns. This research data using five classes of data sets of digital EEG signal taken from clinic Epileptologie University of Bonn ie data set A normal open eye signal, set B normal eye closed signal, C set enter the epilepsy zone, set D enter epilepsy, set E epilepsy seizures. The five class data are processed using DCT to obtain feature extraction, so results from DCT are used to perform identification using the Backpropagation method. The results of this study indicate that with feature extracted using DCT and identification process using Artificial Neural Network Backpropagation got EEG signal identification obtained for data set A, B, C, D and E is 76%, for set AB and CDE class data 73 %.
Practicing Energy Saving Habits of Elementary Students Through Development of Lectora Inspire Software Based Instructional Media
Authors: Sulistyowati P , Utomo D W , Batlolona JR , Saregar A , Hudha M N , Yusro A C 
Published: November 2019

Abstract
This paper intends to develop a software-based intructional media, Lectora Inspire. The data were obtained through experts validation on the developed instructional media. It took one media expert, one material expert, and 11 students. The data were then analyzed descriptively and quantitatively. The results and discussion confirm that the instructional media based on software, Lectora Inspire, is valid and feasible to be used in the learning process. The instructional media has met both media and materal requirements. It offers a convenient approach for students to understand the lesson content since it provides a real-life example which encourages them to imitate the habits. However, this instructional media needs a supporting facility such as computer which not all schools already have. More importantly, this software-based instructional media can be used as an effective learning resources.
Development of physics learning e-module based on local culture wisdom in Pontianak,West Kalimantan
Authors: Matsun  , Andrini V S , Maduretno T W , Yusro A C 
Published: November 2019

Abstract
This study aims to determine the feasibility and effectiveness of physics learning e- module based on local culture wisdom. This study is a development using ADDIE model of study design comprised five steps of analysis, design, development, implementation and evaluation. The sample used by 70 students with one group pretest-posttest design. Based on the research results, e-module based on local wisdom that is validated by three experts and three experts media material showed 83% in the category of very viable for use in learning. The effectiveness of e-module was tested using paired sample t test. The results showed no effect of the use-based e-modules of local wisdom to the learning process of physics. Values of N-Gain score indicates the percentage of 81% (in the effective category). E-modules used in this study utilizes the android based smartphone technology. Local wisdom that becomes a source of learning is a game “carbide cannon” who came fromPontianak, West Kalimantan, the terms of the concepts of physics and chemistry. Students’ response to the media developed showed an average score of 87% ratings with very good category.
Effect of materials character on the design of the 12 slot 8 pole generators on power efficiency
Authors: Salim A T A , Romandoni N , Aminudin A , Wardana D W S , Sudibyo E 
Published: November 2019

Abstract
The development of renewable energy as electrical energy needs to be followed by the provision of high-efficiency generators, especially for small-scale alternative energy uses. This study discusses the effect of the character of materials on the design of 12 slots 8 pole generator on power efficiency. the material used for the discussion of this research is copper and aluminum as materials for the coil. comparison of these two material to find the coil forming materials with the highest efficiency. As a result of the experiments described above, the use of aluminium material as a coil can reduce efficiency by 0.1% from the use of copper material as a coil.