bluuebunny/crossref_metadata_2025_split huggingface dataset:
Digital Model of an Existing Building a Wild Riverbed in Tokyo
Authors: Dedic Martin 
Published: March 2021

Abstract
This paper presents an application of photogrammetric methods for so-called image based modelling and rendering. Digital photogrammetry technology was used for the real use of a digital model of an artificial riverbed for a wild river in Tokyo. This technology was applied using two software programs, where we evaluate their compatibility and propose measures that should increase efficiency in the future in the creation of digital models of existing buildings. We describe the process of creating a model in both software separately and evaluate their use for a given type of object. In this paper, we describe the individual processes from the selection of photographs through the cleaning and smoothing of the point cloud to the final model. We present the practical use of the created digital model. In the pictures we show the solved structure, the process of joining individual photographs and the final model for the overall idea of the application of this method. The results and discussions section describes the evaluation of both software and proposals for measures for their use, especially for water structures of a linear nature containing recurring elements such as water barriers.
Graph Extraction of Batik Image Using Region Adjacency Graph Representation
Authors: Akmal  , Munir R , Santoso J 
Published: March 2021

Abstract
Image feature extraction done in image analysis based on the traditional pixel is not extracted effectively. This is due to the extraction that only represents the content. A very promising approach and the challenge are to extract a graph from an image that represents the content and their relationship. The results of graph extraction are obtained from the process of image segmentation. The selection of an appropriate segmentation method from many graph-based image segmentation methods is interesting to be reviewed. The method of super-pixel segmentation is one way to divide the image into regions. The regions obtained in segmentation are represented by vertices and edges represent connections between adjacent regions. This representation is called Region Adjacency Graph (RAG). In this paper, graph extraction of “batik” images has been successfully performed where its representation uses RAG and segmentation uses the Minimum Spanning Tree method. The results of graph extraction have been tested in a simple image retrieval process using the VF2 graph matching method.
Comparison of K-Medoids and Self Organizing Maps Algorithm in Grouping Hydrometeorological Natural Disasters in Java Island
Authors: Asriny Novendri Isra , Ramadhanty Desy Rizki , Izzati Muthia Dishanur , Putra Matiin Laugiwa Prawira , Shofura Annisa , Albi Chairani Uli , Widodo Edy 
Published: March 2021

Abstract
Indonesia is a country that is prone to disasters. Based on data from the National Disaster Management Authority, there are 6868 disasters in the last 3 years. Changes in weather, temperature, and wind direction that are quite extreme in Indonesia lead to one of the disasters namely hydrometeorological disasters such as floods, landslides, tornadoes, forest fires, and drought. According to the National Coordinating Agency for Disaster Management, this type of disaster is quite common in Indonesia. Over the past 3 years, Java Island received the highest number of disasters. The National Disaster Management Authority states that tornadoes contribute 21% of all disasters in Indonesia. Therefore, the researcher wants to grouping the cases of hydrometeorological natural disaster in Indonesia, especially in Java. This research is to determine the areas that are the focus of the government in disaster mitigation efforts using K-Medoids Clustering and Self Organizing Maps. Based on the results of this study, it was found that the suitable method used was the Self Organizing Maps Method because it was seen based on a smaller standard deviation value. Cluster one there are 108 members who are groups with relatively low disaster vulnerability, while cluster two there are 10 members are city and district groups that have relatively high disaster vulnerability.
Case-based Mobile Tourism Attractions Recommender System
Authors: Rani Septia , Arifin Dimastyo Muhaimin , Huda Sheila Nurul , Fudholi Dhomas Hatta 
Published: March 2021

Abstract
The variations and the increasing number of tourism attractions give tourists more choices to enrich their travel experience. However, it also presents drawbacks, including confusing tourists when planning a trip, because they have to choose from many tourist attractions options that match their preferences. In this study, we propose an algorithm that can generate recommendations of tourist attractions to the user using a case-based reasoning approach. Case-based recommendation is chosen because it gives the user a more personalized recommendation that they can customize later on within the application. Besides, the implementation of this approach in the tourism domain is still hard to find. As many as 217 tourist attraction objects in Yogyakarta city are gathered as the case study. We label each object with three attributes, namely category, visitor type, and activities. A similarity function called the simple matching coefficient is used to calculate the item’s score based on the user specification. For assessing the proposed algorithm, we implement the model as an Android application. To evaluate the recommendation result, we use mean absolute error calculation (MAE) and mean absolute percentage error (MAPE), resulting in 4.1 MAE and 5% MAPE, which is considered highly accurate. Thus, the recommendation from the system is well suited to the user’s preference.
Clustering with Principal Component Analysis and Fuzzy Subtractive Clustering Using Membership Function Exponential and Hamming Distance
Authors: Haryati Annisa Eka , Sugiyarto  
Published: March 2021

Abstract
The problem of dimension reduction in multivariate data is how to obtain a smaller number of variables but still be able to maintain most of the information contained in the data. One method that can be used is principal component analysis (PCA). Principal component analysis (PCA) is a technique used to reduce the dimensions of data consisting of several dependent variables while maintaining the variance in the data. PCA can be used to stabilize measurements in statistical analysis, one of which is cluster analysis. Fuzzy clustering is a method of grouping based on membership values that include fuzzy sets as a basis for weighting for grouping. One method of fuzzy clustering is Fuzzy Subtractive Clustering (FSC). The method used in this study is PCA and FSC. The purpose of this study is to compare the most optimal cluster results using PCAFSC and FSC methods. The results obtained indicate that the clustering using the PCAFSC method is better than the FSC method.
Comparison between Butterworth Bandpass and Stationary Wavelet Transform Filter for Electroencephalography Signal
Authors: Kang Xiaoxi , Handayani Dini Oktarina Dwi , Yaacob Hamwira 
Published: March 2021

Abstract
The Electroencephalography (EEG) signals able to obtain the information from the brain signals. Reduce the noise of the raw EEG data can improve the accuracy of the result. The pre-processing step of the raw EEG data can generate a clean signal and improve the accuracy. The purpose of this paper is to compare the Butterworth bandpass (BB) and stationary wavelet transform (SWT) method for the pornography addiction EEG data. The data was collected from Yayasan Kita dan Buah Hati (YKBH), Jakarta, Indonesia, using the Brain Maker EEG machine with 19 channels. We used mean square error (MSE) and peak-to-noise ratio (PSNR) to compare the quantitative value for the filtered EEG signals. The result shows that the BB filter is more effective in removing the noise and keep the original information.
Handwritten Text Recognition using Fully Convolutional Network
Authors: Nirmalasari Dewi Ayu , Suciati Nanik , Navastara Dini Adni 
Published: March 2021

Abstract
Handwritten text recognition from images is challenging because there are many variations in handwriting as each person has a different writing style. This research implements multilevel recognition to solve this problem. In the first level, a Lexicon Convolutional Neural Network (CNN) model is used to recognize words (containing a set of word) that often appear in the text. If a word is not recognized by the Lexicon CNN model, which is designed for a limited number of words, then it goes to the next level. A character sequence recognition consisting of predicting the number of characters using CNN, cropping each character using a sliding window, and character recognition using Fully Convolutional Network (FCN), is applied at the second level. Experiments show that the system performance is promising. The experiment conducted using NIST Special Database 19 as a training dataset and a handwritten text on screen as a testing dataset. The best accuracy of word recognition, character number prediction, and character recognition is 99.98%, 98.56%, and 83.52%, respectively.
Developing a Framework on Predicting Evacuee Needs for Disaster Risk Reduction Management in the Province of Albay
Authors: Monreal R N , Palaoag T D 
Published: March 2021

Abstract
An evacuee needs allocation framework wants to ease the predicting process on disaster preparedness in the province of Albay. The evacuee needs allocation framework will help the provincial government to identify and solve the problem of the current and manual process of the disaster management system in preparation down to the allocation of evacuee needs. An evacuation centre is a place that the Provincial Government provides basic human needs including food, water as well as accommodation during or before the disasters to the affected people. Detailed assessment was conducted by authorized personnel in the government organization to look at how to improve the chances of disaster victims with their stay in an evacuation centre. In this paper, the study aims to develop a framework that predicts the evacuee needs preparedness as well as the allocation needs on before and during the calamity to help and enhance the current process in the province of Albay. The researcher includes information technology tools such as RFID and GPS to the framework to enhance the efficiency and accuracy in the implementation of the needs allocation during the calamity in the evacuation centres. The paper will lead the provincial government of Albay in predicting the evacuee needs to insure a sufficient and avoid the shortage and excess of goods from the preparation down to the allocation in the evacuation centres and to help the Provincial Disaster Risk Reduction Management Council in allocating and monitoring of budgets for transparency purposes.
Developing Facebook Chatbot Based on Deep Learning Using RASA Framework for University Enquiries
Authors: Windiatmoko Yurio , Rahmadi Ridho , Hidayatullah Ahmad Fathan 
Published: March 2021

AbstractSmart systems for universities powered by artificial intelligence have been massively developed to help humans in various tasks. The chatbot concept is not something new in today’s society which is developing with recent technology. College students or candidates of college students often need actual information like asking for something to customer service, especially during this pandemic, when it is difficult to have an immediate face-to-face meeting. Chatbots are functionally helping in several things such as curriculum information, admission for new students, schedule info for any lecture courses, students grade information, and some adding features for Muslim worships schedule, also weather forecast information. This Chatbot is developed by deep learning models, which was adopted by an artificial intelligence model that replicates human intelligence with some specific training schemes. This kind of deep learning is based on RNN which has some specific memory savings scheme for the deep learning model, specifically this chatbot using LSTM which already integrates by RASA framework. LSTM is also known as Long Short Term Memory which efficiently saves some required memory but will remove some memory that is not needed. This Chatbot uses the Facebook platform because the Facebook users have already reached up to 60.8% of its entire population in Indonesia.
Towards Development of a Web-Based System for Analyzing Marine Ecological Carrying Capacity (MECC) for Managing Marine Resources in The Outer Island of Indonesia (Case Study: Nunukan Regency)
Authors: Susandi A , Wijaya A , Kuntoro W S , Faisal I , Pratama A Y , Nurdin I , Kertabudi F G 
Published: March 2021

Abstract
Research on the development of data integration system design and web-based system in the calculation of Marine Ecological Carrying Capacity (MECC) for managing marine and coastal resource management has been carried out. In this study, Nunukan Regency, North Kalimantan was chosen as the study area. The process of integrating data in managing marine and coastal resources in a sustainable manner using the carrying capacity concept approach is carried out by designing an information system development system in processing and displaying the results of MECC calculations. This can make it easier for decision makers to develop the utilization of blue economic potential in accordance with geographic conditions as well as efforts that can be made to increase the productivity of the blue economy in Nunukan Regency, North Kalimantan.
Complex power control system for the installation of transverse capacitive compensation in the system with distributed load
Authors: German L A , Serebryakov A S , Osokin V L , Dulepov D E 
Published: March 2021

Abstract
The operation of transverse capacitive compensation installations (CI) when they are switched on away from the power source (for example, at partitioning posts in the traction network or in general-purpose networks, for example, at branch points from main networks) under distributed load has a number of features. These features are considered on the example of an electrified railway section. In particular, the problem of controlling the power of the CI at medium and maximum loads is analyzed. Power control schemes of the CI have been known for a long time, usually regulation is performed to minimize power losses in the supply network, to reduce the maximum reactive power of the consumer, to stabilize the voltage mode in the power system node, etc. For electrified sections, regulation is typical to reduce power losses in the traction network or to stabilize the voltage at the AC traction network partitioning post. However, with the growth of heavy traffic on the railways, the requirements for increasing the capacity of railway sections while reducing electricity losses in the traction network have increased, that is, there are requirements for an integrated control system for CI. The complexity of solving this problem is determined by the fact that the CI is located at the partitioning post. The article offers an algorithm for solving this problem using the harmonics of the electric rolling stock current.
Non-stationary modes of electric networks
Authors: Andrianov D P , Badalyan N P , Kolesnik G P 
Published: March 2021

Abstract
Ensuring energy efficiency and solving problems of energy saving of power supply systems is impossible without forecasting the state of energy sources and elements of the electric network. Distribution networks consist of a set of elements whose parameters follow stochastic regularities and collectively organize a nonlinear dynamic system with parameters that depend on and do not depend on the mode. Description of networks requires the involvement of higher mathematics in conjunction with modern hardware and software of computer technology. The article is devoted to modeling of non-stationary modes of operation of multi-node electric networks with a large number of degrees of freedom and a high order of differential equations describing the processes under study in the model under consideration. The influence of such factors on transients as abrupt changes in the load of consumers, disconnection-connection of one of the voltage sources, short circuits on the consumer side, stability of the oscillatory process is considered. On the example of a 6-node circuit with 3 alternating voltage sources and 6 consumers, the nature of changes in the generated electrical power of the sources is analyzed. The system of differential equations corresponding to the scheme under study is solved by numerical methods. The proposed approach allows us to evaluate the efficiency of the power supply network while maintaining the mode parameters and predict the possibility of undesirable overloads during short circuits and conditions for exceeding variables that determine the practical stability of the system.
Analysis of the possibility of landfill gas use as additional fuel for combustion of solid municipal waste with different moisture content
Authors: Kornilova N V , Trubaev P A 
Published: March 2021

Abstract
The paper suggested the calculation method of combustion for solid and gaseous fuel cofiring. The calculation is suggested to carry out for per unit of generated during combustion total capacity instead of per unit of weight or volume of fuel. This method was tested during combustion parameters examination at cofiring of solid municipal waste, which is the main fuel, and landfill gas (biogas) which is the additional fuel for thermal mode stabilization. The calculation has been conducted for waste with the moisture content of 50%, 30% и 10%, which are solid fuel, methane, as a reference fuel, common biogas with a methane content of 60%, and biogas with a low methane content of 35%. It was established that additional input of biogas is effective for the combustion of unprepared waste with high moisture content, moreover, it is possible to use common biogas as well as biogas with low methane content. The required combustion product temperature (900-1000°C) for unprepared waste can be achieved at the excess air coefficient of 116 or more. In summary, solid fuel and biogas cofiring allows operative control of the combustion process and sustain combustion product temperature and heat output of units at a constant level. The combustion process regulation should be based on the given temperature of combustion products by changing two parameters: landfill gas flow rate and flow rate of air supplied for combustion.
Mathematical model for determining the optimal location of the biomethane plant
Authors: Suslov D Y , Temnikov D O 
Published: March 2021

Abstract
The work is devoted to the actual problem of using an alternative energy source - biomethane in gas supply systems. When developing and designing gas supply systems using biomethane, an important task is to determine the optimal location for biomethane plants. For the research, the methods of graphs and parametric optimization were used from the condition of minimizing the total transport costs. A mathematical model has been developed to determine the coordinates of the location of the biomethane plant depending on the production capacity and location of agricultural enterprises. Using the developed model, the location of a bio-methane plant with a total volume of digesters of 5000 m3, located in the Veidelevsky district of the Belgorod region, was determined. This unit can process 315.9 t / day of organic waste and produce 504.64 m3 / h of biomethane with a methane content of more than 98%. As a result of the calculations, the coordinates of the location of the biomethane plant were determined (X = 11.82; Y = 22.35), and the location of the biomethane plant was adjusted, taking into account the relief conditions of the terrain and the presence of a road transport system.
Prospect of development wind power plant taking into account the visual range of wind turbines location and determining the efficiency of the wind flow transition at rotors of veritical axis wind turbines.
Authors: Sokolov V Y , Kolesnikova I V 
Published: March 2021

Abstract
Proposed method of calculating structural elements of blades of wind machines is not connected with intuitive selection of approximating functions of rigidity of structural elements. Application of the proposed design method showed necessity to introduce not only transverse reinforcing elements into the blade of the windwheel, but also longitudinal ones, which will allow to increase the generated electric energy from the small area of wind power plants location. The advantage of the proposed method for calculating the structural elements of wind machine blades is that it is not associated with an intuitive selection of approximating functions. The use of the calculation method showed the need to introduce not only transverse reinforcing elements, but also longitudinal ones into the wind wheel blade. We recommend that these elements be made in the form of a longitudinal corrugation laid between the transverse elements of the blade. The rigidity of these ribs will allow you to obtain a constant flow passing through the paddle wheel. The research conducted is not sufficient to determine the limits of the ratio of potential to electricity generation that can be achieved in practice at real wind farms. This value will depend on the stability of local air flows in the surface layer, spatial density, altitude, and the actual resistance of wind turbines. Further study of the interaction of these parameters is necessary, which is the focus of our current and future research.
Theoretical description of preheating a gas-air mixture in a gas burner with a heat divider
Authors: Ramazanov R S , Suslov D Y , Kushchev L A , Seminenko A S 
Published: March 2021

Abstract
The article is devoted to the study of thermal processes occurring during the operation of a household gas burner. The preparation of gas fuel for combustion is one of the important functions that a gas burner performs. At the same time, when designing gas burner devices, it is important to determine the final temperature of the gas-air mixture inside the burner body, since an increase in the temperature of the resulting mixture makes it possible to intensify the combustion process. We have proposed a solution that allows to intensify the transfer of heat in the body of a gas burner from the lid heated due to contact with the flame to the gas flow using the thermal shape of the conical divider installed in the center on the inner side of the lid. It has been established that the location of the heat divider in the center on the inner side of the cover allows minimizing or completely eliminating the formation of a stagnant zone. The conical shape of the heat divider provides less resistance to the oncoming flow movement, and also because of its own side surface, it allows you to increase the useful area of the heat exchange surface. An expression is obtained for determining the final temperature of the gas-air mixture at the outlet from the firing holes of the burner body.