bluuebunny/crossref_metadata_2025 huggingface dataset:
Cation-exchange synthesis of PbSe/ZnSe hetero-nanobelts with enhanced near-infrared photoelectronic performance
Authors: Kang Ping , Zheng Kai-Ge , Wang Zhuo , Chen Li , Guo Zheng
Published: May 2021

To develop excellent photoelectronic and photovoltaic devices, a semiconductor with high photoelectron production efficiency and broad band absorption is urgently required. In this article, novel II-type PbSe/ZnSe hetero-nanobelts with enhanced near-infrared absorption have been synthesized via a facile strategy of a partial cation-exchange reaction and thermal treatment. Derived from ZnSe·0.5N2H4 nanobelts as templates, the belt-like morphology was preserved. Due to the mismatch of the crystal type and parameters between PbSe and ZnSe, the formed PbSe in the form of nanoparticles were separated out and decorated on the nanobelts. Furthermore, the composition ratio of Pb/Zn can be tuned through manipulating the adding amount of Pb2+ cations, the reaction temperature and time. The ultraviolet−visible−infrared diffuse spectra measurements suggest that the as-prepared PbSe/ZnSe hetero-nanobelts exhibited a broad band absorption from 300 to 1000 nm. In addition, they demonstrated excellent photoresponsivity in the same wavelength region and displayed a peak at approximately 840 nm. Finally, the enhanced photoelectronic sensing mechanism was discussed.
Synthetic CT generation from CBCT images via unsupervised deep learning
Authors: Chen Liyuan , Liang Xiao , Shen Chenyang , Nguyen Dan , Jiang Steve , Wang Jing
Published: May 2021

Adaptive-radiation-therapy (ART) is applied to account for anatomical variations observed over the treatment course. Daily or weekly cone-beam computed tomography (CBCT) is commonly used in clinic for patient positioning, but CBCT’s inaccuracy in Hounsfield units (HU) prevents its application to dose calculation and treatment planning. Adaptive re-planning can be performed by deformably registering planning CT (pCT) to CBCT. However, scattering artifacts and noise in CBCT decrease the accuracy of deformable registration and induce uncertainty in treatment plan. Hence, generating from CBCT a synthetic CT (sCT) that has the same anatomical structure as CBCT but accurate HU values is desirable for ART. We proposed an unsupervised style-transfer-based approach to generate sCT based on CBCT and pCT. Unsupervised learning was desired because exactly matched CBCT and CT are rarely available, even when they are taken a few minutes apart. In the proposed model, CBCT and pCT are two inputs that provide anatomical structure and accurate HU information, respectively. The training objective function is designed to simultaneously minimize (1) contextual loss between sCT and CBCT to maintain the content and structure of CBCT in sCT and (2) style loss between sCT and pCT to achieve pCT-like image quality in sCT. We used CBCT and pCT images of 114 patients to train and validate the designed model, and another 29 independent patient cases to test the model’s effectiveness. We quantitatively compared the resulting sCT with the original CBCT using the deformed same-day pCT as reference. Structure-similarity-index, peak-signal-to-noise-ratio, and mean-absolute-error in HU of sCT were 0.9723, 33.68, and 28.52, respectively, while those of CBCT were 0.9182, 29.67, and 49.90, respectively. We have demonstrated the effectiveness of the proposed model in using CBCT and pCT to synthesize CT-quality images. This model may permit using CBCT for advanced applications such as adaptive treatment planning.
Construction of new traveling and solitary wave solutions of a nonlinear PDE characterizing the nonlinear low-pass electrical transmission lines
Authors: Kumar Hitender , Kumar Anand , Chand Fakir , Mehar Singh Ram , Singh Gautam Manjeet
Published: May 2021

In this study, we intend to analyze the traveling and several other solitary wave solutions in the nonlinear low-pass electrical transmission line model using the new mapping method, the new extended auxiliary equation method, and the extended Kudryashov method. A type of traveling and solitary wave solutions emerge, consisting of hyperbolic function, trigonometric, rational, periodic, and doubly periodic solutions that reflect kink, anti-kink wave solitons, bright-dark optical solitons, singular solitons, and other traveling waves. The three integration techniques applied are efficient, effective, and versatile for the creation of new bright, dark, singular, and non-singular periodic and solitary wave propagation solutions in nonlinear low-pass electrical transmission lines. To see the extant physical significance of the considered equation, we present some 2D and 3D figures for some solutions. We compare the obtained results with those obtained in the literature. We investigate and demonstrate the stability of the soliton solutions.
Theoretical calculations of hyperfine splitting, Zeeman shifts, and isotope shifts of 27Al+ and logical ions in Al+ clocks*
Authors: Tang Xiao-Kang , Zhang Xiang , Shen Yong , Zou Hong-Xin
Published: May 2021

Based on the multiconfiguration Dirac-Hartree-Fock (MCDHF) method, similar models are employed to simultaneously calculate the first-order and second-order Zeeman coefficients as well as the hyperfine interaction constants of the related energy levels of 27Al+ and its logical ions 9Be+ and 25Mg+ in the 27AI+ optical clock. With less than 0.34% deviations from experimental values in Zeeman coefficients of 27Al+, these calculated parameters will be of great help for better evaluation of the systematic uncertainty. We also calculate the isotope shift parameters of the related energy levels, which could extend our knowledge and understanding of nuclear properties of these ions.
Super total graceful labeling of some trees
Authors: Khasanah I N , Purwanto
Published: May 2021

A graph labeling is an assignment of integers to the edges, vertices, or both of a graph so that it meets to certain conditions. A graph labeling is called total labeling if labeling is given to edges and vertices. Let G be a simple and finite graph having vertex set V(G), edge set E(G), number of vertices p, and number of edges q. A super total graceful labeling of G is a bijection f from V(G) ∪ E(G) to the set {1,2,3,….,p + q} such that f(uv) = |f(u) – f(v)| for every uv ∈ E(G) and f(E(G)) = {1,2,3,…, q}. A graph that admits a super total graceful labeling is called a super total graceful graph. In this paper we show that star graph K
1,n
, spider graph SP(1
n
, 2
m
), and caterpillar graph P
3⨀nK
1 are super total graceful graphs.
Product of bipolar anti fuzzy graph and their degree of vertex
Authors: Rahayu H S , Sulandra I M , Kusumasari V
Published: May 2021

Based on complete bipolar anti fuzzy graphs and on strong bipolar anti fuzzy graphs we can define a new graph through union, join, Cartesian product, and composition of such two graphs. We call the new graph as a product of graphs. In this article we investigate properties of product of bipolar anti fuzzy graphs and product of strong bipolar anti fuzzy graphs. We also construct the degree of a vertex in such the product, namely, the degree of a vertex in the graph which are obtained from product of two given bipolar anti fuzzy graph.
On Frobenius functionals of the Lie algebra M3(ℝ) ⊕ gl3(ℝ)
Authors: Henti  , Kurniadi E , Carnia E
Published: May 2021

In the present paper, we study the Lie algebra written in the semi-direct sum formula of the vector space M3 (ℝ) and the Lie algebra gl3 (ℝ) whose both contain 3×3 real matrices. We denote it by g3 : = M3 (ℝ) ⊕ gl3 (ℝ). The aim of this research is to study the existence of a linear functional such that g3 is the Frobenius Lie algebra of dimension 18. Such the linear functional is called the Frobenius functional. We applied the literature reviews to achieve this result, particularly we study the notion of Frobenius Lie algebra in Ooms and Rais results. The main result of our research is the proof that g3 is Frobenius Lie algebra. For the future research, the existence of a Frobenius functional is still an open problem to study for higher dimensional Lie algebras.
The openness condition for a coadjoint orbit projection of the semidirect product Lie group M((n, p), ℝ) ⋊ GL (n, ℝ)
Authors: Kurniadi E
Published: May 2021

Let G(n, p) be the semidirect product Lie group of the vector space K : = M((n,p),ℝ) of n × p real matrices and the Lie group L : = GL(n,ℝ) of n × n real invertible matrices. Moreover, we denote by g(n, p) the Lie algebra of G(n, p) whose the dual vector space is g*(p, n). In this paper, we study the projection of a coadjoint orbit of G(n, p) from g*(p, n) to K*. The main purpose is to give necessary and sufficient conditions for the openness of a coadjoint orbit projection. In this research, we applied the study literature method by studying the openness of a coadjoint orbits. As the main result, we proved the openness condition for coadjoint orbits projections in K*. For the future research, the openness of coadjoint orbits of G(n, p) still needs to be investigated more.
Structural equation modelling on Latent Variables to identify farmers satisfaction in East Java using Mixed-Scale Data
Authors: Fernandes A A R , Solimun  , Cahyoningtyas R A
Published: May 2021

Structural Equation Modeling (SEM) which is able to predict structural models as well as measurement models simultaneously and be able to accommodate the form of reciprocal relationships. This research is to develop structural modeling with metric and nonmetric measurement scales. In addition, this study aims also to identify satisfaction of farmer in East Java. The variables used were demographic variables, gratitude variable, and satisfaction farmer. The data used are primary data with respondents who are Farmer in East Java using proportional area random sampling. Measurement method used is the main component score method and the factor analysis. The number of respondents in this study were 155 districts in East Java Province. The results is a significant positive effect between the gratitude variables on the farmer satisfaction variable. That is, the more gratitude felt by farmers, the satisfaction will be increased by East Java Farmers. On the other hand, the test results showed that demographic variables did not significantly influence gratitude variables. The coefficient of total determination (R2) is 0.8714, meaning that the diversity of data (farmer satisfaction) that can be explained by the model in the first order analysis is 87.1% while the remaining 12.9% is explained by other variables not contained in the model.
Optimization of tax revenue in East Java: an empirical analysis of Spatial Durbin Error Model
Authors: Afifah D L , Rahardjo S , Kusumasari V , Atikah N , Kholifia N
Published: May 2021

Data containing spatial effects should be analyzed using a spatial model. One of the spatial models is Spatial Durbin Error Model (SDEM). In the SDEM model, the independent variable and error both contain spatial effects. Along with the implementation of regional autonomy, each region is given the freedom to regulate financing. Each area tries to explore their respective potential to get a large Regional Original Income. Taxes are an essential source of the regional revenue so that local governments try to optimize tax revenue. This paper empirically examines the factors that can maximize tax revenue in East Java and maps the potential areas to generate high taxes. Some of the factors considered include Gross Regional Domestic Product (GRDP), population, per capita income, number of industries. By using the SDEM model, it can be seen that there is a spatial relationship, where the amount of tax revenue in each region is different and is influenced by other areas.
Modelling Spatial Spillovers of regional economic growth in East Java: an empirical analysis based on Spatial Durbin Model
Authors: Atikah N , Rahardjo S , Afifah D L , Kholifia N
Published: May 2021

Spatial Durbin Model (SDM) is the development of the spatial autoregressive model (SAR). In the SDM model, the dependent variable and the independent variable both contain spatial effects. Spillover occurs when changes in one area cause changes in another. The spillover effect needs to be considered because it can affect the model. This study’s main objective is to estimate the effect of spillover on the economic growth of districts/cities in East Java. Per capita income can be an indicator of regional economic growth, which has a spatial effect. The variables estimated to affect economic growth include total population, number of industries, and labor force. Data analysis in this study using R software. Researchers found a positive spatial spillover of population, number of industries, and labor force on economic growth in East Java.
Unsteady magnetohydrodynamics nano fluid flows past a cut magnetic solid sphere when the mix convection included
Authors: Widodo B
Published: May 2021

The system of engine in a car is one of the magnetohydrodynamic (MHD) implementations. This system applies the basic concept of MHD, which is fluid motion that can conduct electric current because of a magnetic field. Several researchers therefore commenced to develop these ideas by observing the characteristics of the numerical simulation solutions. Because of the significance of this research, we are interested in assessing the effect of forced convection on MHD fluid flow, especially nano-fluids, when passing over a magnetic object. We therefore consider the MHD analysis of nano-fluids through sliced magnetic spheres that are induced by mixed convection problem using a mathematical model. This mathematical model is developed from the continuity equation, the momentum equation and the energy equation. The model is then elucidated numerically by means of the finite difference method with the Keller-Box scheme and MATLAB software. Furthermore, within numerical simulations investigated the effects of magnetic parameters (M), slice angle parameters (θs), and volume fraction of nano-fluid (X) towards fluid velocity and temperature. The numerical solutions express that when the magnetic parameter (M) rises, the velocity of the nano-fluid drops and the temperature of the nanofluid growths. When the cut angle parameter (θs) enlarges, the velocity of the nano-fluid enhances and the temperature of the nano-fluid lessens. When the volume fraction of nanofluid (X) expansions, the velocity of the nano-fluid falls and the temperature of the nanofluid rises.
Rheological model of the fine particles viscoplastic suspension
Authors: Kolodezhnov V N
Published: May 2021

The analysis of the mechanical behaviour of some types of fine particles suspensions is carried out. A rheological model is proposed to describe the shear stress and shear rate dependence, taking into account the appropriate conditions imposed on the model parameters. It is shown that such model can take into account the “solidification” effect manifestation. A variation of generalization of the rheological model for two- and three-dimensional hydrodynamics problems of fine particles suspensions is proposed, and some methodological features for solving such problems are considered.
Rod system destruction in the elastoplastic formulation of the problem
Authors: Kopteltseva O U , Markin A A
Published: May 2021

A statically indeterminate system consisting of rods which are prescribed in the initial state by unit vectors is considered. The basic equations of balance and equilibrium are presented in dimensionless form until the critical deformation in the elastic and elastoplastic domain in the rods is reached. The given basic equations allow taking into account the additional loading or unloading of the rod system at the point of reaching critical deformation in the elastoplastic domain. The process of loading the system in the case of simple loading is shown and the process of deformation of a specific rod system is described.
Study of quasi-static behavior of a system with partially distributed parameters under combined loading
Authors: Minayeva N V , Gridnev S Y , Skalko Y I , Alexandrova E E
Published: May 2021

The problem of the existence of a quasi-static process described by the solution of a system of differential equations is considered. The possibility of quasi-static deformation of a cantilever bar, at the end of which there is a concentrated mass exceeding the mass of the bar has been studied. The bar is loaded with tracing and horizontal forces. A condition has been obtained under which the bending of a bar can be studied on the basis of the solution of the static problem used in the theory of small vibrations.
Extracting fracture mechanics parameters (higher-order coefficients of Williams series expansion) from FEM analysis and digital photoelasticity method
Authors: Mironov A , Petrova D , Bakhareva Y , Stepanova L
Published: May 2021

The paper describes new algorithms and procedures proposed for determining fracture mechanics parameters from finite element analysis using the over deterministic method. The multi-parameter crack tip stress field description is used. The algorithms and procedures based on multi-parameter stress field representations in series form are shown to be a powerful tool for reliable and accurate parameter determination. The technique is aimed at the determination of coefficients of the Williams series expansion from finite element analysis and is based on the over deterministic approach. The methodology is illustrated and applied to several cases of cracked specimens. Examples are presented for crack-tip fields recorded using digital photoelasticity. The results of finite element analysis are compared with the digital photoelasticity experiments. The results are in good agreement. The principal stresses obtained from finite element method are in good agreement with the isochromatic fringe patterns obtained by the photoelasticity method. Explanation has been made for giving guidance to a user on how best to approach implementation of the method from a practical standpoint.
Data mining system for predicting quality of polymeric films
Authors: Chistyakova T B , Teterin M A
Published: May 2021

A computer data mining system for predicting the quality of polymer films in international, large-scale and multi-assortment industries is described. This article presents a library of statistical and data mining methods that allows, using statistical tests, to test data for distribution normality, predict the quality of polymer film materials for various line configurations and different types of film and includes the following methods: recurrent neural networks, neural network with long short-term memory and convolutional neural network. Analysis of methods of predicting the quality of polymer films was carried out and an algorithm was developed that allows selecting the most appropriate method for predicting the quality of polymer films based on the type of film, line configuration and requirements for film quality. The system includes interfaces that display trends in the process characteristics of the process class. The system was tested using the example of industrial data of the corporation on production of polymer film in plants of Russia and Germany.
Approximated solution algorithms for Urysohn-type equations
Authors: Belozub V , Kozlova M , Lukianenko V
Published: May 2021

Problems of remote sensing and gravity, magnetic, seismic, geological prospecting use systems of indirect data measurement, which can be modeled with non-linear Urysohn equations. The paper presents equations of Urysohn type and their operator analogues. A number of algorithms for their solution has been developed based on the availability of a priori information, asymptotic properties of integral operators, and specific features of a model. It has been formulated a theorem on constructing a solution of the original equation based on the neighboring one with an error estimate. Both the original and neighboring equations are taken as the regularized equations. The proposed approach allows for a variety of algorithms, depending on the type of regularization and iteration schemes, in particular, a modified version of the Levenberg-Marquardt algorithm. Additionally, the algorithm for searching characteristic points of a given function based on the asymptotics of an integral Urysohn operator is provided.
On flows in networks with reachability restrictions
Authors: Erusalimskiy I M , Skorokhodov V A
Published: May 2021

This paper we consider graphs with reachability restrictions of three types: barrier, valve and magnetic. As a part of the maximum flow problem in networks with considered restrictions, simple examples are given. These examples demonstrate a significant difference between flows in networks with reachability restrictions and flows in the same networks without any reachability restrictions. In each case under consideration there is a decrease of the maximum flow value. Wherein for magnetic reachability it is shown the possibility to control the network flow, whereas for barrier and valve reachability it is shown the reducing of the maximum flow due to the effect of superimposing of flow to itself, which is never observed in the classical theory of flows in networks.
Influence of information integrity control of the unified model of the automated information system of commercial enterprises on conditional profit
Authors: Gubin E A , Dubrovin A S , Irkhin V P , Golovkin R B , Gudkov M A
Published: May 2021

Unified model of the automated information data system (AIS) at the commercial enterprises (UMAIS CE) as a protected AIS for the provision of the commercial activity of the enterprises with the common structure and configuration of equipment is examined in the article. Information integrity control (IIC) is an integral part of this model, and its functioning has an impact on the contingent profit of the commercial enterprise considered in the frameworks of UMAIS CE. Mathematical model of IIC UMAIS CE presented within this context, just as a number of computing experiment that allow determining of a strategy of the effective usage of IIC UMAIS CE and specified ways for increase of the contingent profit at the commercial enterprise.
Adaptive running training complex for the training and rehabilitation of users
Authors: Karpushkin S V , Siuhin A A , Kalach A V
Published: May 2021

The problems of development of the treadmill training simulator for the industrial, medical and sporting organizations are considered in the work. This simulator should provide minimum hardware-software delay for the system of automatic control. Block-diagram of the system is proposed where the main control and program blocks are allocated. Main limitations of the current hardware-software were revealed and some methods for minimization of their effects are proposed including historical data for the formation of behavioral patterns of a user.
On the possibility of the Fourier method using for finding of a solution of the sixth-order mathematical model with derivatives with respect to measure
Authors: Shabrov Sergey , Ilina Ol’ga , Shabrova Marina
Published: May 2021

In the present paper the separation variables method is applied to finding an exact solution of the sixth-order mathematical model with nonsmooth solutions. Analyzing arising difficulties, in particular the spectral problem, we use a pointwise method of interpretation of solutions proposed by Yu.V. Pokornyi. This method showed its effectiveness in constructing of an exact parallel to the classical theory of differential equations, including oscillation theorems, both second and fourth orders.
Oscillogram processing algorithm when monitoring cardiac patients’ conditions
Authors: Abramov G V , Abramov D G , Polovinkin I P
Published: May 2021

The development of hospital information system requires the improvement of diagnostic and monitoring tools. The tools should provide extensive diagnostics and automatic data processing. In that respect volumetric compression oscillometry is considered a promising technique. However, at present diagnostic findings need to be adjusted by qualified healthcare professionals. The article deals with a process model when measuring arterial blood pressure, compares experimental findings and presents a blood pressure measurement algorithm. The devices designed on the algorithm will allow to conduct an advanced monitoring of patients’ conditions without healthcare professionals directly involved. Implementing algorithm-based devices into hospital system will allow to respond to change in patients’ conditions urgently.
Handwriting features definition methods and algorithms
Authors: Voronina I Ye , Zinoviev S V
Published: May 2021

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

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

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

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

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

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

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

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

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

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

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

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

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

The 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

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

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

Cutting 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

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

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

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.