bluuebunny/crossref_metadata_2025_split huggingface dataset:
Handwriting features definition methods and algorithms
Authors: Voronina I Ye , Zinoviev S V 
Published: May 2021

Abstract
The research relevance is conditioned upon the lack of assistance tooling for forensics experts and graphologists that allow to justify examination and analysis results. It is a non-trivial task to develop such toolset. The goal of the research is to formalize handwriting features extraction process in order to validate an authorship of a given Russian handwritten text. Existing approaches analysis and a mathematical model of handwriting features extraction from handwritten documents are provided along with the choice of implementation approach. Software toolset that allows the model’s practical application is developed.
Building a model for analysis of dependencies of application software modules
Authors: Gorbenko O D , Kochergin D V 
Published: May 2021

Abstract
Dependency analysis of software modules in applications is an important step in software development, but it almost always remains in the shadow of more general and frequent problems. The creation of a general mathematical model describing dependency analysis at a fundamental level is one of the tasks that can accelerate the development of new utilities for dependency analysis for a wide variety of module systems and programming languages.
An approach to determining the search range boundaries of optimal parameters values for the random forest algorithm
Authors: Demidova L A , Ivkina M S 
Published: May 2021

Abstract
The problem of determining the search ranges for the optimal values for the main parameters in the random forest (RF) algorithm in order to reduce the time spent on developing RF classifier has been considered. The aim of the work is to obtain formulas for determining the search range for the values of RF classifier parameters. Formulas are obtained based on the results of experimental research on the development of RF classifiers using various sets from machine learning data repositories. The results of experimental research on the development of RF classifiers using training and test sets formed on the basis of the analyzed datasets have been presented. Formulas for graphical dependencies for assessing the quality of classification on the test set and development time have been obtained in general form. The recommendations on the application of the proposed formulas in the development of RF classifiers have been given.
Integral spin images usage in deep learning algorithms for 3D model classification
Authors: Denisenko A I , Krylovetsky A A , Chernikov I S 
Published: May 2021

Abstract
We are investigating a problem of 3D model classification using deep learning algorithms. We propose integral spin images usage as 3D model representation. A number of computational experiments were made to build spin images for 3D models of Princeton Shape Benchmark and use them to train LeNet-5, AlexNet and ResNet deep neural networks. The results showed that integral spin images can be used in conjunction with deep learning algorithms in 3D model classification problem. However, with greater number of classes classification accuracy tends to decrease. It is expected that designing a more complex neural network architecture and expanding number of data characteristics can increase accuracy.
Method and the device of an estimation of information efficiency of telecommunication systems taking into account information losses
Authors: Mezhuev A , Pasechnikov I , Sturov D , Rybakov D 
Published: May 2021

Abstract
In work on the basis of the deep analysis of approaches to estimation of efficiency of an information exchange of telecommunication systems is offered the method of an estimation on the basis of the generalized indicator – performance coefficient (PC) of transfer of information taking into account losses of information packets. The indicator is specified at network level with use of cybernetic capacity of information losses. The structural scheme of the device with instructions of elements for practical realization of a method is developed. The generalised algorithm providing the analysis and an estimation of information efficiency of telecommunication systems with various structures on the basis of the received method is synthesized. Analytical and imitating modelling of work of algorithm and estimation of information efficiency of telecommunication systems with structures “star” and full connected in the conditions of change of the input traffic taking into account of influence of hindrances is spent. Results of modelling have confirmed working capacity of a method and reliability of estimations received on his basis that can be used at the organisation of complex multi-contour of adaptation.
Application of the Monte Carlo method in modeling the isoprene polymerization process in the presence of the polycentric titanium-containing catalytic system
Authors: Mustafina S , Mikhailova T , Miftakhov E , Podvalnyi E 
Published: May 2021

Abstract
The article proposes an approach to modeling the periodic process of polymerization under conditions of polycentricity of the catalytic system, based on the Monte Carlo method, as well as the foundations of its software implementation. The solution polymerization process of isoprene is based on the industrial production of isoprene rubber. The isoprene polymerization process considered in the paper proceeds in a batch mode. The algorithm is based on simulating the growth of each polymer model and tracking the processes occurring with it. The results of testing the algorithm for the isoprene polymerization process on the assumption of a titanium-containing catalytic system are demonstrated. The constructed model makes it possible to study the molecular weight characteristics of the polymer depending on the conversion of the monomer, to calculate the molecular weight distribution of the resulting product at any time, to carry out the process of each type of active site, and the total distribution. The article presents the results of a computational experiment, the initial data of which correspond to laboratory studies. The results of the computational experiment showed good agreement with laboratory data.
Solving practical tasks of computer linguistics using the created text processing framework
Authors: Politsyna E V , Politsyn S A , Porechny A S 
Published: May 2021

Abstract
The use of linguistic analysis based on the accumulated experience in computer linguistics allows simplifying processing of huge amounts of text information and opens up new opportunities for documents processing automating. The problem of finding suitable tools, adapting them to work with texts in the Russian language, and integrating with each other makes difficult to use them both for research and in industrial systems. We present an open source Java framework (TAWT) that provides convenient tools and data structures for the main stages of text analysis which meets modern requirements for performance, reliability, project assembly tools, etc. Examples of automating some technical documentation preparation tasks demonstrate the use of the framework, TAWT can be useful for developers of research tools or applied software for implementing new functions or improving the quality of text processing, as well as for developers of automated tools to reduce routine tasks working with documentation.
Coastal protection structures influence on diffraction and reflection of waves simulation based on 3D wave hydrodynamics model
Authors: Sukhinov A I , Chistyakov A E , Protsenko E A , Protsenko S V 
Published: May 2021

Abstract
The work describes research of wave processes in the presence of shore protection and coastal structures using 3D wave hydrodynamics model. The model presented in the article gives realistic description of the physical wave process near the coastline. The influence of coastal protective structures on the diffraction and reflection of waves is investigated on the basis of 3D wave hydrodynamics model.
Modelling the production process of Roman snail using RIDGE and LASSO regression
Authors: Tkachenko S N , Tkachenko I A , Shpilevaya S G , Dedkov V P 
Published: May 2021

Abstract
This article is a continuation of a series of works on the study and modelling of the production process of the Roman snail (Helix pomatia L.). The paper considers the applicability of three models for simulating the average weight of groups of Roman snails based on the values of environmental parameters, snail’s ration and specific factors characteristic of molluscs. The main focus of the simulation is on two models: RIDGE and LASSO regression. It is proved that RIDGE regression gives the best results in modelling. The combination of qualitative and quantitative parameters (air temperature, relative humidity, nutrition and some specific factors characteristic of molluscs) is sufficient for modelling the production process of Roman snail.
Characterization of Rhizobium Indigenous Isolates and Their Compatibility with Edamame Soybean
Authors: Astuti A , Mulyono  , Fauzi R 
Published: May 2021

Abstract
Three isolates were isolated from edamame soybean nodules and characterized as indigenous Rhizobium sp. compatible with Edamame soybean, showing the potential to be developed as an inoculum for biological fertilizers that can increase the efficiency of nitrogen fertilizers. All isolates grew on YMA + Congo Red medium, with colony characteristics of a circular shape, pink color, 1-3 mm in diameter with convex elevation, and slightly translucent (Opaque). The results of microscopic characterization showed that the bacilli-shaped cells were gram-negative. The growth curve showed that all isolates could grow optimally after 48 hours of culture. Physiologically, the three isolates were aerobic and catalase-producing bacteria. The re-inoculation of these Rhizobium isolates on edamame seeds proved its compatibility indicated by effective nodule formation up to 48.03 - 66.23%.
Industrial Sludge Active Bacteria Potency Test of PT Surabaya Industrial Estate Rungkut (SIER) as a Heavy Metal Bioremediator and Biofertilizer
Authors: Ikhwan A , Putra A I 
Published: May 2021

Abstract
Heavy metal contamination is a crucial problem to solve because it leads to poisoning, phytotoxicity and soil fertility reduction. Microbial assisted bioremediation is proposed to solve the problem due to their ability to adapt and mitigate heavy metal adverse effect. This study was aimed to determine the diversity of bacterial colonies, the level of tolerance of bacterial isolates, and the ability of bacterial isolates to produce plant growth hormone and secondary metabolites. Heavy metal tolerance tests were carried out on 6 bacterial isolates, namely S1aB1, S1aB2, S1bB4, S2aB5, S3aB7, and S4bB11. S4bB11 was found as the isolate with the highest growth pattern based on spectrophotometry optical density (OD) when the isolate grown in Pb and Hg supplemented environment. Further GC-MS analysis on S4bB11 detected several metabolites that play a role in heavy metal bioremediation namely α-Ketoglutaric acid, diaminopimelic acid and mannose. In addition, the presence of growth hormones (3indole acetic acid and kinetin) were also detected. Thus, the bacteria was predicted to have dual functions, both as industrial waste bioremediator and biofertilizer.
Dry land sustainable agriculture with application of sorgaab to improve brix sugar content and crop yield in two sorghum varieties
Authors: Kusumastuti A K , Harsono P , Purwanto E 
Published: May 2021

Abstract
Sorgaab is an extract of Sorghum bicolor plant which can be used as a natural bioherbicide. This research aims to evaluate the effects of sorgaab application on brix sugar content and crop yield of two Sorghum varieties. Sorghum is a potential crop to be developed in Indonesia because it is beneficial for food, feed, energy, and sources of fiber. Sorghum can also live on marginal or dry land so that can adapt well to extreme agro-climate conditions. The research was conducted on dry land at Tambakan, Nguter, Sukoharjo, Indonesia with Vertisol soil type, using a Randomized Complete Block in Split Plot Design with 2 treatment factors: (1) Sorgaab concentration (S0 = control, S1 = 25%, S2 = 50%, S3 = 75%; and (2) Sorghum varieties (V1 = Numbu varieties, and V2 = Kawali varieties). Analysis of variance using F test 5%, continued with The Duncan Multiple Range Test. The relationships between variables using a correlation test. The application 75% of sorgaab showed the highest level of brix sugar content in Numbu varieties which is 16,73% brix per plant and showed the highest level of 1000 grain weight in Kawali varieties which is 31,889 grams. There is positive correlation between variables which the increase of sorgaab application followed by the increase of brix sugar content and crop yield of both two Sorghum varieties.
Study of pest attacks on maize plantation in the oil palm replanting land of Jambi Province
Authors: Meilin A , Rubiana R , Jumakir  , Suheiti K , Murni WS , Rustam  , Bobihoe J 
Published: May 2021

Abstract
Activities of oil palm rejuvenation started in 2017 in Jambi Province. On replanting land, oil palms were intercropped with food crops (maize) while waiting for oil palm yield. Some constraints of food crop cultivation, including corn, is a pest attack. This study aims to determine the pest attack on maize plantations in oil palm replanting land. The research was conducted at maize plantation in oil palm replanting land in Talang Bukit and Marga Mulya Village, Sungai Bahar District, Muaro Jambi Regency from April to July 2019. This research used survey methods with 1 to 2 ha areas in each location during the maize’s vegetative and generative phases. Morphology or symptoms of the attack, pest morphology, and the percentage of pest attacks observed in this study. The research result showed that the primary pest attacks in the maize’s vegetative phase were Spodoptera frugiperda Fall Armyworm, which attacks the percentage reaching 93.45%, and then Spodoptera litura Armyworm, and Mythimna separata. Pest attacks at the generative phase of corn plants were S. frugiperda, S. litura, Rhopalosiphum maidis aphids, Ostrinia furnacalis stem borer, Helicoverpa armigera, respectively is 23.92%; 10.14%; 0.27%; 21.22%; 34.23%. Meanwhile, the damage caused by wild boars reached 27.56%, and 5.68% showed by the monkey.
New Approach for Observation of Bacterial Cellulose Sheet Formation Method using Image Processing
Authors: Nugroho D A , Sutiarso L , Rahayu E S , Masithoh R E 
Published: May 2021

AbstractThe thickness of the bacterial cellulose (BC) sheet is an important parameter that determines the end of the fermentation process. During the fermentation process, BC sheets produced will be visually visible. Commonly, the end of the fermentation process is determined using manual observation based on fermentation time and approximation of BC thickness which are subjective and susceptible to error especially for routine and large samples. To overcome those limitations, a new approach for accurate and real-time observation system to monitor the formation of BC thickness is developed in this research. The system can perform several tasks from image capturing and processing, image conversion to BC thickness, until data collection. The system is also able to send notification of fermentation conditions including BC thickness through the email system during the fermentation process regularly. The system consists of USB camera to capture image, the Python programming language to process image, and Raspberry Pi 3 installed with MySQL database to store the BC thickness data. Thickness calculation algorithm is compiled using python programming language and has succeeded in calculating various thickness of BC sheets during the fermentation process every 15 minutes for 8 days. The BC thickness data is automatically sent to the MySQL database and at the same time sent to user’s email.
Growth Pattern of Sunflower on Some Light Intensity in The Coastal Land
Authors: Supangkat Samidjo Gatot 
Published: May 2021

Abstract
Growth is quantitative development. Crop growth determined crop yield level, so that needs studied. Affecting factor of crop growth pattern is light intensity. Crop response on light intensity different for each crop species. This research aimed to study Sunflower growth pattern on some light intensity at the coastal land. Research conducted in the Bugel II coastal land, Bugel Village, Panjatan District, Kulonprogo Regency, Yogyakarta Province. The research was conducted by a single factor experimental method. Light Intensity variation with three levels is the intensity of 100%, 75%, and 45% tested in this research. The treatment tested was arranged by Randomized Complete Block Design (RCBD). That studied vaiable, are Leaf Area Index (LAI), Net Assimilation Rate (NAR), Crop Growth Rate (CGR), the correlation between CGR with LAI, the correlation between CGR with NAR, and Harvest Indeks. The research result showed that LAI, NAR, and CGR increased by increasing light intensity. LAI increasing followed by CGR increasing, and Harvest Index decreased on low intensity. Generally, Sunflower growth patterns in the coastal land increased along with increasing light intensity.
Rice (Oryza sativa L.) response to application of rice husk biochar-coated urea fertilizer
Authors: Hadiawati L , Sugianti T 
Published: May 2021

Abstract
Rice husk charcoal produced from pyrolysis is widely tested as a coating material for slow release urea. Rice husk charcoal-coated urea is part of a smart fertilizer strategy for more sustainable dan resilient green rice production. This study was conducted to evaluate the effects of coated urea (CU) application at some dosage for specific West Nusa Tenggara Province environment. The pot experiment was arranged in Randomized Block Design with five treatment of coated urea at 25%, 50%, 75%, and 100% of 250 kg ha−1 rate that compared to control at 100% non-coated urea. The Experiment conducted at Narmada Research Station of Assessment Institute of Agricultural Technology (AIAT) of West Nusa Tenggara Province – Indonesia from January to April 2020. The results showed that the CU application did not significantly increase rice yield and harvest index. The tiller number and percentage of filled spikelets tend to increase in proportion to the CU application rate. Although there were no significant differences in plant growth and yield component, yield at 75% CU treatment increased at about 14.03% higher than the control which was indicating possible efficient use of rice husk charcoal-coated urea fertilizer.
Study of Various Antibrowning Agents in Fresh-cut Apple cv Manalagi
Authors: Utama N A , Hardianti R , Julynasari K , Setiawan C K 
Published: May 2021

AbstractCutting treatment on fresh-cut apple could lead to browning incident in fruit. Several chemicals could be used as an antibrowning agent. In this study, we compared several antibrowning agents in fresh-cut Apple cv Manalagi. This study was carried out in a single factor experimental design and arranged in completely randomized design (CRD) consisting of four treatments: 100 mmol L-Arginine, 150 ppm Citric Acid, 150 ppm Ascorbic Acid, 50 ppm Natrium metabisulfite, and control with no treatment. The result showed that Sodium metabisulfite and L-Arginine treatment significantly could inhibit browning in fresh-cut Apple cv Manalagi on day 10. L-arginine also showed a high overall score in panelist preferences in sensory test. Further study could explore on L-arginine potential as antibrowning agent for other fresh-cut fruit and vegetables.
Non-destructive Measurement Methods of Sugarcane Canopy using Drone Technology
Authors: Elfatma O , Hasanah N A U , Setiawan K 
Published: May 2021

Abstract
Destructive methods in the field of leaf area measurement are not effective for predicting plant growth. The development of Unmanned Aerial Vehicle (UAV) and digital camera sensors makes it easier to obtain Small Format Aerial Photography (SFAP) data. Nondestructive sugarcane (Saccharum officinarum) cutting using UAV technology is more effective than destructive methods. This study aims to determine the width of the tree canopy using Small-Format Aerial Photography Near-Infrared (NIR). The research stage includes a preliminary survey of sugarcane plantations and determination of Ground Control Point (GCP), data acquisition and SFAP using a modified Syma X8 Pro UAV drone and a Nikon Coolpix a 100 modified NIR camera, infrared aerial photo processing, measurement of cane area on sugarcane objects using Image Processing and Geographic Information Systems (GIS). The results of this research block sugarcane plantation SFAP in Balecatur Village, Sleman Regency, and a map of the area of sugarcane canopy in Balecatur Village, Sleman Regency. The cane canopy area of the study area is 29.3 m2.
The Monsoon Pattern Analyses on the Irrigation Water Balance
Authors: Jaya R P , Mawandha H G , Mulyandari E , Kesuma L M 
Published: May 2021

Abstract
The water balance for irrigation is affected by conditional monsoon patterns, including the beginning of the season and the duration. In a technical irrigation service, the actual dynamic of monsoon patterns may influence the crop pattern schedule and the standard operating rule of irrigation intake. Some significant impacts on the water balance characteristics can enlarge the water deficit during drought periods and reduce the efficiency of crop intensity. Its significance can be detected by conducting hydrological simulations of water availability and water demand in certain seasonal periods. Hence, the updated crop pattern schedule and the standard operating rule of irrigation intake can be adjusted correspondingly. Moreover, the social conflict during the water distribution can be diminished, and water efficiency can be increased as well as the crop intensity. This study is conducted at Tibu Kuning irrigation area, West Lombok Regency, West Nusa Tenggara Province using 15 daily rainfall data for 25-year from 1993 to 2017. The results show that the monsoon shift pattern in the study area has an interval of 3-year with the maximum shifting period is about one month. Moreover, the monsoon shift pattern has affected the reliability of irrigation water services. In this situation, an adaptive crop pattern schedule needs to be updated to maintain agricultural productivities. Based on the results obtained in this study, updating of the crop pattern schedule and the standard operating rule of irrigation intake can be be adjusted for the upcoming periods.
Flowering and yield of true shallot seed from bulb and different seedling age vernalized at low temperature
Authors: Rosliani R , Prathama M , Sulastiningsih N W H , Hermanto C , Yufdy M P 
Published: May 2021

Abstract
True Shallot Seed (TSS) is an alternative source of shallot (Allium cepa var. ascalonicum) seeds. The constraint of TSS production currently being developed is bulb seeds availability which is limited in a timely manner, amount and quality. The study aim was to observe flowering response from bulb-to-seed method compared to seedling (seed-to-seed method). The study was conducted in Margahayu Experimental Field, IVegRI, Lembang (1,250 m asl) from February to December 2017. The randomized block design with 4 replications was used. The treatments include bulb seeds that are vernalized at 10 °C for 4 weeks, vernalized TSS then 6 weeks sowing, vernalized seedlings aged 4, 5, 6, and 7 weeks at 10 °C for 3 weeks, and non-vernalized seedlings aged 6 weeks. The variety used is Trisula. Observations included vegetative and generative parameters. Data were analysed with ANOVA and DMRT test at the 5% level. The results showed that TSS plant material resulted in higher flowering and TSS production compare to that derived from bulb. Six-weeks vernalized seedling produce the highest florets number per umbel, seed weight per umbel and per plant. Results of the experiment indicate that TSS from seedling showed potential for further development.