bluuebunny/crossref_metadata_2025_split huggingface dataset:
Diversity and abundance of medicinal plants in Penggaron tourism forest of Central Java, Indonesia
Authors: Utami S , Rahadian R 
Published: June 2019

Abstract
Nowadays, the need for medicinal plants as raw materials of traditional medicine is increasing. This study aims to determine the plant species that potential as medicine and its abundance in Penggaron Tourism Forest. Study sites were in the mixed forests and pine forests of Penggaron tourism forest. Vegetation sampling was carried out using a plot method with a size of 10 x 10 m for tree strata, 5 x 5 m for shrub strata and 1 x 1 m for grass or herbaceous strata. Each species of medicinal plant found was identified up to species level and determined their benefit. The medicinal plants found in the study site was 24 species, consisting of 15 families. The most commonly found plant species i.e., the Familia Asteraceae (Chromolaena odorata, Crassocephalum crepidiodes, and Elephantopus scaber), Malvaceae (Hibiscus tiliaceus, Sida rhombifolia, and Urena lobata) and Zingiberaceae (Alpinia galanga, Zingiber officinale, and Zingiber montanum). The habitus of found medicinal plants were 25% tree, 25% shrubs and 50% herbs/grasses. Medicinal plants in the Penggaron forest have not been widely used by people around the forest.
Weeds community structure on the rice field (Oryza sativa L.) in bulusari village, Sayung district, Demak regency
Authors: Haris A , Utami S , Murningsih  
Published: June 2019

Abstract
Rice weeds are disturbing plants that grow together with rice and otherwise well-controlled, it will reduce the quantity and quality of crops. The aim of this research is to analyze the community structure of weed rice in 8-week-old. Benefits of this research are expected to provide information about the types of rice weeds and their characteristics. Research was conducted in June 2018 in Bulusari Village, Sayung District, Demak Regency; and Ecology and Biosystematics Laboratory, Biology Departement, Diponegoro University. Method of this research is a random sampling method used a plot sized 1 m x 1 m as many as 18 plots. Results of the research were the highest Important Value Index is Echinochloa colonum (L) Link species and rice weed diversity index is low.
The potential of soil arthropods as bioindicator of soil quality in relation to environmental factors at apple farm, Batu, East Java, Indonesia
Authors: Suheriyanto D , Zuhro Z , Farah I E , Maulidiyah A 
Published: June 2019

Abstract
The objectives of this study are to determine community structure, abundance and diversity of soil arthropods which potential as the bioindicator of soil quality, and analyze the correlation between chemical parameters of the environmental factor on the abundance of soil arthropods. This study was conducted at the conventional and semi-organic Apple Farm, Bumiaji, Batu, East Java Province, Indonesia, from April to September 2017. Soil Arthropods sample has been taken from three different zones of Apple Farm soil which divided into ten sampling stations. Shannon (H’), Margalef, Evenness and Indicator Value (IndVal) Index were applied to determine the diversity of soil Arthropods. Whereas, the correlation between soil environmental factors and abundance of soil Arthropods were analyzed using Multivariate Analysis included Principal Component Analysis (PCA), similarities, and Canonical Correspondence Analysis (CCA). The total of soil Arthropods belonging to 22 genera, 12 families, and six orders genera, had been identified, with Lepidocyrtus were considered as the most abundant of Genus. Nevertheless, diversity of soil Arthropods in the semi-organic farm were higher than conventional farm ones, this related to soil chemical properties which included pH, C, N, C/N ratio, P, K and other organic matters. Based on indicator value indicated that Euborellia Genus from Apple conventional farm, and Brachymyrmex and Homidia Genus from Apple semi-organic farm was considered as the potential bioindicator of soil quality.
Isolation and identification of carotenoid-producing microalgae from Demak marine waters
Authors: Kusumaningrum H P , Suprihadi A , Budiharjo A , Zainuri M , Misbach I , Maulidiyah A 
Published: June 2019

Abstract
The abundant number of existing species of microalgae in the environment constitutes biodiversity, which supports potential commercial exploitation of many novel products like carotenoid. Microalgae represent a sustainable source of any kinds of natural carotenoid. Aquaculture requires antioxidant supplements such as carotenoids but are unable to synthesize de novo. Carotenoids are needed to improve survival. The production of carotenoids has been one of the activities in microalgae. The objective of the study was to isolate and identify microalgae that can produce carotenoid from Demak marine waters. Production of carotenoid was measured using Spectrophotometer according to AOAC methods. The research found some potentially carotenogenic microalgae member of diatom in the aquatic environment of Demak which is thought to be a species of Melossira, Thalassiotrix, Rhizosolenia, Navicula, Climacodium, Achanthes, Loxophyllum, and Trichodesmium. These species potentially produce carotenoid and antioxidant properties with variety range.
Isolation and screening of lactic acid bacteria from grasshopper gut as novel probiotic candidates to digest cellulose polymer
Authors: Abdullah R , Erfianti T , Pratama D A , Wijanarka  
Published: June 2019

Abstract
The nutritional needs are the primer need in the earth. Various solution of food security problem such as GMO product and chemical fertilizer, are still not effective to clear it because the global warming annualy reported may cause to the crop failures. In addition, the amount of carbohydrate that can be adsorbed by human body is less. The Cellulose is one of the carbohydrate that human can not adsorb to get glucose. Grasshopper can digest the cellulose of grass because there are bacteria live in their organs to produce the enzyme. The bacteria that have an ability giving advantage in the body are known as probiotic. However, the development of this function has became a great attention. The aim is obtaining grasshopper gut bacteria caracterized as lactic acid bacteria potential as novel probiotic to produce cellulase for human digestion. Methods used are; Isolation of grasshopper gut bacteria, Purification and screening modificated of novel probotic candidates. The bacteria were screened by using modificated medium to detect the enzyme activity and pathogenic possibility as well as SP-SDS method to enumerate the tolerance of the bacteria after treatment in the period. The result shows that two bacteria strains of grasshopper gut bacteria are capable to break down the cellulose in the screening process. The bacteria was also caracterized as the lactid acid bacteria. The activity of gamma haemolytic of the bacteria shows the non-pathogenic property on blood. Bile salt and acid pH condition for 48 hour period was tested on the bacteria shows the high tolerance of life in the digestion. In conclusion, there are strain of grasshopper gut bacteria can be used as novel probiotic candidate to digest cellulose as solution of food security.
A heuristic neural network model in the research of properties of evolutionary trajectories
Authors: Bartsev S , Baturina P 
Published: June 2019

Abstract
There is considerable data on molecular evolution, but there remains no approach to systematizing them within the framework of the key problems of biology. To search for the most common properties of evolving systems, the heuristic method has been proposed. Artificial networks of formal neurons were chosen as the heuristic model object. The paper examines the divergent component of evolutionary trajectory formation. As a result of the simulation, the dependence of the potential variability parameter on the position of the fitness function landscape was obtained. The simulation results are in agreement with the real data of molecular evolution experiments.
Features of a numerical characteristics estimation for the execution time of complex series-parallel operations
Authors: Oleinikova S A , Bolnokina E V , Kravets O Ja 
Published: June 2019

Abstract
The object of research in this paper is stochastic multistage systems, the service process in which a set of series-parallel operations with a random duration of service is performed. The subject of the study is the random variable which is the service time of the entire application. The aim is to evaluate the analytical capabilities to accurately assess the characteristics of the studied value. The possibility of analytically obtaining the characteristics of a random variable is investigated, as a result of which a conclusion is made about the usefulness of connecting numerical apparatus. Thus, the features of estimating the numerical characteristics of a random variable describing the duration of a complex of series-parallel operations are analyzed.
An optimization approach to finding roots of systems of nonlinear equations
Authors: Khamisov O , Kolosnitsyn A 
Published: June 2019

Abstract
We describe and test an approach to finding roots of systems of nonlinear equations. This approach is based on a reduction to an auxiliary optimization problem. In spite of the fact that the reduced problem is, in general, a nonconvex optimization problem, we use only local search techniques and provide conditions for the obtained stationary point to be a root of the initial system of nonlinear equations. Results of computational experiments are given.
Modelling of DC motor and educational application in Cyberphysical systems
Authors: Škraba Andrej , Stanovov Vladimir , Semenkin Eugene 
Published: June 2019

Abstract
Present paper describes the development and implementation of the DC motor simulation model in the framework of Cyber-physical systems and Internet of Things for the educational purposes. In order to provide the testbed for students, the control system and simulation model should be developed in unified environment. This has been achieved by using web technologies such as nodejs and cloud9 IDE. Simulation model is derived in the form of the differential equations. The MATLAB/Simulink block diagram is provided. The model has been tested and successfully validated for the pulse input function.
Analysis of the mean transition times in the Markov birth-death chains for calculation of the reliability indices of the technical systems
Authors: Rahman P A , Bolnokin V E 
Published: June 2019

Abstract
This scientific paper deals with the generalized Markov birth-death chain and its application in the reliability analysis of the technical systems. The special types of reductions of the generalized Markov birth-death chain and the obtained by the author formulas for calculation of the mean time of forward transitions from one state to another and mean time of backward transitions from one state to another are also presented. Finally, an example of using the generalized Markov birth-death chain and obtained formulas of the mean time of forward and backward transitions for calculation of the reliability indices of the specialized technical system is also given.
Parameter optimization of the not fully accessible system of the hub airport service based on a simulation model with a fuzzy regulator
Authors: Guzha E D , Khvostova T V , Romanenko V A , Skorohod M A 
Published: June 2019

Abstract
The problem of determining the optimal number of technological resources of the hub airport functional subsystem, serving passengers in a separate technological operation, is considered. The analysis is limited to incomplete systems in which the maintenance of certain applications can be performed only by certain resources. As an optimization tool, a simulation model was used that takes into account the features of passenger flows and the hub airport production process and includes a fuzzy controller (FC), which reflects the logic of the airport dispatcher controlling the ground handling process. The paper describes a model example of solving an optimization problem indicating the possibility and feasibility of using a fuzzy controller as a model for the strategy of a human operator. The main result of optimization is the time dependence of the number of technological resources of the functional subsystem which is applicable at the stages of making decisions on increasing its capacity, operational resource management, planning staff shift work, solving a number of other tasks, especially relevant for hub airports with intense but uneven flows of aircraft and passengers.
Method of determining the parameters of the texture of the surface of the rolls of rolling bearings by means of quasi-optimal correlation algorithm
Authors: Nosov Nicolay , Bobrovskij Sergej , Levitskih Olesja , Zaides Semen , Kanatnikov Nikita , Khaimovich Alexander , Zykova Marina 
Published: June 2019

Abstract
The article proposes a new approach to the method for estimating the texture parameters of the surface of the rolling tracks of instrument bearings after profile grinding. The microgeometry of the surface of the bearing raceways was studied on an optical-electronic complex on the basis of calculating the parameters of the autocorrelation function obtained as a result of computer processing of the surface video image. The purpose of this study is improving the technology of profile grinding of bearing raceways through the construction of an optical-electronic information-measuring system for monitoring the parameters of the autocorrelation function.
Mathematical aspects of optimal control of transference processes in spatial networks
Authors: Borisoglebskaya L N , Provotorov V V , Sergeev S M , Kosinov E S 
Published: June 2019

Abstract
The new kind of practical issues was born due to modern trend on globalization and transition to the concept of industry 4.0. These are the processes in commercial networks representing the movement of goods and finance, which have specific economic indicators; migration of populations and labor resources; transference of one-parameter continuous media (diffusion effect). The issues with higher level of complexity occur during the research of multi-phase environments dynamics in network-like media and mathematical modeling of such processes. The authors divide these two problems and offer the formalized description for the laminar processes and dynamic convective processes with feedback. There was developed an approach to solve the problems of optimal control for these processes. The research is based on methods for analyzing systems of partial differential equations with distributed parameters on a graph or network-like domain.
Directions for improving the innovative production of machine-building industrial enterprises
Authors: Vinogradova A I , Strelnikova S V , Fomina Yu V 
Published: June 2019

Abstract
Mechanical engineering is a generally recognized as main springboard for both innovative transformations in the economy and accelerating technological progress. Technological re-equipment of industrial enterprises cannot be implemented without a modern engineering industry. The competitiveness of the region economy and the country as a whole depends on how much this industry is able to generate and assimilate innovations. In connection with this, an important issue is the understanding of the obstacles to the innovative processes development in domestic engineering. The article analyzes the level of innovation development of joint-stock company “Krasnoyarsk machine-building factory”, discusses the main strategic objectives of innovative development. Further development of economic activities related to the machine-building complex will continue in response to the implementation of investment projects aimed at expanding, modernizing, reconstructing and modernizing existing production facilities.
Applied calculus of fuzzy predicates for the formalization of knowledge
Authors: Serov V V , Sokolov I V , Budnik A A 
Published: June 2019

Abstract
The formalization of knowledge remains one of the main problems of informatization. Special, applied knowledge can be streamlined, brought to a logical level and used to solve specific problems of a qualitative nature. The problems of applied fuzzy knowledge formalization from the point of view of mathematical logic and the theory of fuzzy sets are considered. Use of the applied calculus of fuzzy predicates of the first order was developed and proposed for the representation of knowledge and problem solving. The developed methods were used in the expert system for scientific research in the field of molecular spectroscopy, as well as other subject areas.
The logarithmic basis to measure the amount of information related to the assessment of reliability of elements of the technical system
Authors: Dulesov A S , Karandeev D J , Eremeeva O S , Khrustalev V I , Dulesova N V 
Published: June 2019

Abstract
The possibilities of application of logarithmic measure in the problem of reliability evaluation of elements of a technical system are considered. The article presents a brief analysis of the processes of additive and multiplicative growth of system indicators, among which the probability of failure-free operation and failure rate are considered. These indicators were considered in relation to the exponential distribution law of random variables associated with multiplicative growth. The growth of reliability indicators is expressed through the natural logarithm, which allows to determine the amount of information belonging to the element of the system. Considering the additive growth and multiplicative growth in the aggregate, the mathematical expressions of the determination of information entropy in the case of operation of the technical system are presented. The obtained quantitative entropy values are the basis for assessing the state and level of reliability of the system. An example of the calculation is given, confirming the importance of the participation amount of entropy in the problem of estimating the reliability of systems.
Calculation methods of noise immunity of the receivers under the mutual effect of tracking systems and complex tracking systems
Authors: Kartsan I N , Malanina Yu N , Zhukov A O , Tsarev R Yu , Brezitskaya V V 
Published: June 2019

Abstract
The article discusses the methods for improving the reliability and validity of the GLOSNASS signal. These methods reveal the principles of improving the signal reliability and validity by reducing the noise level from the received signal. The main attention is paid to the calculation of the noise immunity of the receivers under the mutual effect of tracking systems and complex tracking systems. The article deals with the noise immunity of coherent and noncoherent receivers, the noise immunity of the complex tracking systems.
Constructive concept of address normalization
Authors: Rudakova G M , Gladkov S L , Korchevskaya O V 
Published: June 2019

Abstract
The paper addresses the problem of addressing as an identifier for the location of real estate objects. One of the main tasks in this field of activity is the problem of reducing an arbitrary address to normal form. From the analysis of the definitions of the address it follows that the address is a point in the space of the requisites. The constructive concept of the normalization of the address and requisites is introduced. The set of normal addresses (requisites) refers to the union of the base and revoked (canceled) addresses (requisites). The real set of values of each requisite is wider than the set of its normal values. Therefore, the steps of expanding the set of normal values of the properties in the direction of the set of real values of properties are considered. At each step of the proposed method, the rule (function) of normalization of the extended requisite value is considered, i. e. converting it to one of the normal values. The requirements for the synthesis of the properties of the requisite in the form of a name and number, spelling, following the words and the uniqueness of its semantic meaning, as well as to the semantic normalization of addresses are given.
Success-history based biology-inspired algorithms for global trajectory optimization
Authors: Akhmedova S , Stanovov V , Erokhin D , Semenkina O 
Published: June 2019

Abstract
Biology-inspired algorithms are computationally efficient for real-parameter optimization. However, the search efficiency of such algorithms depends significantly on their ability in keeping the balance between exploration and exploitation when solving complex multimodal problems. A new technique for generating potential solutions in biology-inspired algorithms is proposed. The stated technique uses a historical memory of successful positions found by individuals to guide them in different directions, thereby improving their exploration and exploitation abilities. Thus, this paper describes the application of modified biology-inspired algorithms, namely the Firefly Algorithm, the Cuckoo Search Algorithm and the Bat Algorithm to global trajectory optimization problems. The problems are provided by the European Space Agency and represent trajectories of several well-known spacecraft, such as Cassini and Messenger. Firstly, modified versions of the listed heuristics as well as their original variants were evaluated on a set of various test functions. Then their performance was evaluated on two global trajectory optimization problems: Cassini-1 and Messenger. The experimental results obtained by them are presented and compared. It was established that success-history based position adaptation allows better solutions to be found with the same computational effort while solving complex real-world problems. Thus, the usefulness of the proposed position adaptation technique was demonstrated.
Methodological support for automating risk analysis of engaging users in the destructive content of the network for sharing content
Authors: Filatov V , Ostapenko A , Barannikov N , Yurasov V 
Published: June 2019

Abstract
One of the possible ways of hazard assessment of video hosting resources on the basis of a combination of a way of identification of destructive content and risk of the involvement of users at content distribution is given in the work. The way of identification of destructive content is based on a preliminary calculation of patterns. The method of calculation of patterns is also given in the article. Calculation risk analysis is based on parameters of the channel and content: comments, likes, dislikes, number of viewings, size of audience and others. Hazard assessment consists of obtaining a rated value of integrated risk for the involvement of users into the maintenance of destructive content of the resource. The proposed method is applicable in systems with a high level of automation to identify the most harmful sources of information on video hosting sites.
Data distribution system: clustering based on neural network technologies
Authors: Vikulov E O , Denisova L A 
Published: June 2019

Abstract
This article is about data distribution of high load systems. We proposed a way of distribution by means of data clustering based on neural network technologies. Clustering of the test sample of data from server stations performed. This sample of data received from cloud computing server stations distributed across different data centers. Results of experimental research proved the effectivity of neural networks in case of high load data distribution.
Improved classification EM algorithm for the problem of separating semiconductor device production batches
Authors: Rozhnov I , Kazakovtsev L , Bezhitskaya E , Bezhitskiy S 
Published: June 2019

Abstract
This paper focuses on new proposed algorithms for cluster problem solving. The proposed algorithms are based on Classification EM algorithm (CM-algorithm). The algorithms are new algorithms of the greedy heuristic method using the idea of searching in alternating neighborhoods. The numerical experiments show that the proposed algorithms have less mean values and/or less standard deviation of objective function, less scatter of obtained values in comparison with classical CEM-algorithm.