bluuebunny/crossref_metadata_2025 huggingface dataset:
The parameter estimation of conditional intensity function temporal point process as renewal process using Bayesian method and its application on the data of earthquake in East Nusa Tenggara
Authors: Jatiningsih L , Respatiwulan  , Susanti Y , Handayani S S , Hartatik
Published: June 2019

A temporal point process is a one-dimensional point process where events are observed by time. A temporal point process can be viewed as a renewal process with time between events as random variables. The conditional intensity function of the process represents the expected rate dependent on time between events so that we can predict earthquakes activities. This research will be discussed about parameters estimation of conditional intensity function using Bayesian method and be applied to earthquake data in East Nusa Tenggara (ENT) from January 2015 to April 2018. The ENT is categorized as earthquake prone, because it is flanked by two zones of earthquakes. In southern region there are the Eurasian and Indo-Australian plates sub ducted, and in the north there is a back arc thrust. Based on the research results, it was obtained the conditional intensity estimation. The application of conditional intensity estimation represents the expected rate of earthquake occurrence in East Nusa Tenggara at a certain time interval. The time intervals are in units of days. The greatest conditional intensity is at the time interval (day 1096th to 11897th) that is 0.058798617. It means that the probability earthquake occurrence in East Nusa Tenggara at that time period is very low with the total number of occurrences are 28 earthquakes.
Tuberculosis transmission with relapse in Indonesia: susceptible vaccinated infected recovered model
Authors: Widyaningsih P , Nugroho A A , Saputro D R S , Sutanto
Published: June 2019

Tuberculosis (TB) is a contagious disease prevented by the vaccination of Bacillus Calmette-Geurin (BCG). The sufferer is treated by giving the Directly Observed Treatment Shortcourse (DOTS). The patients sometimes do not take the medicine regularly so that the TB-bacteria do not completely vanish from their body. The bacteria only weaken so the patients can be re-infected (relapse). Mathematical modelling can be used to determine TB transmission based on changes in the number of TB patients. By concerning vaccination and relapse factors, a susceptible vaccinated infected recovered (SVIR) model with relapse in TB transmission need to be developed. Indonesia got the second rank in the new case of TB in the world. In the national program of TB prevention, Indonesia has three indicators i.e. prevalence, incidence, and mortality rate. In this article, we derive SVIR model with relapse in TB transmission, then apply the model in Indonesia and measure its accuracy. Furthermore, we also predict the three indicators of TB in Indonesia. The model is nonlinear first-order differential equations. The model is applied in Indonesia by estimating parameters based on 2004-2014 data. Model accuracy is measured based on relative errors in 2015 and 2016. Absolute values of relative error S, V, I, R, and TB incidence are less than 0.1. Thus, the model is said to be quite accurate and can be used to predict the prevalence, incidence, and mortality rates of TB in Indonesia. The prediction of these three indicators shows a decline year by year with an average decrease of 1.90% for prevalence and mortality rates and 1.68% for incidence rates.
Linear Programming with Fuzzy Variable Method for Solving Wastewater Treatment Plant (WWTP) Problem
Authors: Pratiwi T R , Sunarsih  , Surarso B
Published: June 2019

The waste load of organic matters in the stabilization ponds is degraded through biological treatment, that is to reduce or decrease the level of pollutants of organic matters by using and utilizing microorganisms. This problem will be solved using a mathematical model, that is linear programming with fuzzy variables on the Wastewater Treatment Plant (WWTP). The method in the case of Fuzzy Linear Programming (FLP) maximization is done by using simplex fuzzy method. The results of this method can be used as an evaluation method to determine the optimal waste load and the level of degradation of organic matter.
A combination of Rivest Shamir Adlemann (RSA) and Affine Cipher method on improvement of the effectiveness and security of text message
Authors: Jannah M , Surarso B , Sutimin
Published: June 2019

Rivest Shamir Adlemann (RSA) method is one of the popular methods in the field of public key cryptography. The strength of the RSA method is based on the difficulty level of factoring of two large prime numbers. If they are factored easily, then we need to use brute force to break the system. In this present, we combined RSA method with classical method, namely Affine Cipher method to improve the level of security on text message. The process of combination RSA method and Affine Cipher method is as follow: first, text message was encryption using Affine Cipher method, then the encryption output is used as input of the RSA method. The results certified that the improvement of the security level of text message can be realized by using the combined method.
Contribution Indonesian Composite Index in PT Telekomunikasi Indonesia stock price model using 2-dimensional Geometric Brownian Motion
Authors: Hoyyi A , Tarno  , Maruddani D A I , Rahmawati R
Published: June 2019

Theoretically, the movement of the Composite Stock Price Index (CSPI) is in line with the company’s stock price movements. Hence, it would be appropriate to measure the CSPI contribution to the company’s stock price regarding modeling the company’s stock price. 2-dimensional Geometric Brownian Motion is believed to be the most appropriate model in this case. Therefore, this paper aims to project the share price of PT Telekomunikasi Indonesia in 2018 by considering the CSPI movement. The resulted mean absolute percentage error (MAPE) calculations lead to a conclusion that Prediction with 2-dimensional Geometric Brownian Motion (GBM) is more accurate than the individual modeling of stock prices of PT Telekomunikasi Indonesia. PT Telekomunikasi Indonesia Tbk’s stock price modeling is more appropriately-used by taking heed on the movement of the Composite Stock Price Index. It is conclusive that the two dimensional geometric Brownian motion model provides an accurate prediction of PT Telekomunikasi Indonesia Tbk shares with MAPE is 1.980296%.
Comparison of generalized cross validation and unbiased risk method for selecting optimal knot in spline truncated
Authors: Devi A R , Pratama R F W , Suparti
Published: June 2019

Gini ratio is an indicator to measure income inequality. Gini ratio of Indonesia in 2017 is 0.391, still far from Gini ratio target by Bappenas in 2019, that is 0.36. The Gini ratio modeling in this study uses a nonparametric regression approach because the form of the regression curve between the Gini ratio and its predictive variables is unknown. One of the estimators in nonparametric regression is spline truncated. Spline truncated has a knot that adjusts to the local characteristics of a function or data more effectively. The number of knots and their location affect the form of regression curve estimation, so it’s important to obtain optimal knot. There are methods for selecting optimal knots, such as Generalized Cross Validation (GCV) and Unbiased Risk (UBR). This study compares GCV and UBR in selecting optimal knots on Gini Ratio data in Indonesia 2017. The criteria of the best model are based on Mean Squared Error (MSE) andR2values. From the result, the optimal knot from GCV was a combination of 3-2-2-3 knot with MSE of 0.00085 andR2of 79.18%. Meanwhile, by using UBR, the optimal knot is three knots with MSE of 0.00095 andR2of 66.42%. In conclusion, GCV generated better model than UBR.
Inventory control model using exponential smoothing control chart
Authors: Mustafid  , Ispriyanti D , Sugito  , Safitri D
Published: June 2019

Decision making to determine stock replenishment has an important role in inventory management, especially to anticipate unstable consumer demand. The research aims to design statistical inventory control model for stochastic lead time demand using exponential smoothing and normal distribution approach. The exponential smoothing approach used to design prediction of daily demand and prediction of lead time demand. The normal distribution approach used to design statistical control chart of lead time demand, and also to determine the position of the safety stock and reorder point. Empirical analysis for the research is provided based on case studies for stock replenishment analysis on apparel industry. The results of the research provide a basic concept for decision-making to determine the safety stock and reorder point as the basic parameters in inventory management. The main contribution of the research results provides the application of statistical control chart as statistical inventory control by using smoothing method for data of demand in a lead time as two random variables normal distributed.
Classification tide levels in Semarang City use support vector machine
Authors: Sugito  , Safitri D , Mustafid  , Ispriyanti D , Prahutama A
Published: June 2019

As the capital of Central Java, Semarang is a coastal town located on the north coast of Java. This geographical feature exposes the city to environmental problems such as tidal flood (locally known as rob). Therefore, it is high at stake for the city to classify a certain model to determine the high of tide. One of the expert classification methods of machine-based learning is support vector machine (SVM), it is classified as the nonparametric machine which does not require any assumptions. The classification using SVM requires a kernel as a weight to determine support vector data to classify. Therefore, this study uses Kernel of polynomial and radial base function. As for variables of tidal classification, this study used wind speed and rainfall. On the basis of the analysis, the maximum tide level classification accuracy was carried out on the distribution of 80: 20 training and testing data resulting in a classification accuracy of 69.42%. Classification accuracy was determined by the distribution of training and testing data.
Risk factor analysis of hypertension with logistic regression and Classification and Regression Tree (CART)
Authors: Fernanda J W , Anuraga G , Fahmi M A
Published: June 2019

Hypertension is one of the most common inherited diseases among Indonesians. This disease can affect the onset of various diseases, such as kidney failure, stroke, diabetic, and heart failure. Early detection is an effective way to control the incidence of hypertension by knowing risk factors such as age, sex, family history, genetics (irreversible/controlled risk factors), smoking habits, alcohol consumption habits, obesity, lack of physical activity that have significant effect. The methods that used to analyzed significant risk factor are logistic regression and Classification and Regression Tree (CART). This research compared the accuracy of two methods to select the best models to predict the risk of Hypertension. From the result, CART better than logistic for predict hypertension risk with AUC of 0,584.
Smooth Support Vector Machine (SSVM) for classification of Human Development Index
Authors: Darsyah M Y , Suprayitno I J , Fuzi F , Otok Bambang W , Ulama B S S
Published: June 2019

Human Development Index (HDI) is measuring achievements of human development based on basic components of quality of life. Human development index is low score if HDI is less than 60, moderate HDI between 60 to less than 70, high HDI between 70 to less than 80, and equal to 80 and more than 80 belong to high HDI. Smooth Support Vector Machine (SSVM) is a classification technique that is new. The algorithm used is Newton Armijo with linear kernel, polynomial kernel, and Radial Basis Function (RBF) kernel. The result of classification of human development index with SSVM method with linear kernel shows the prediction accuracy 84.77%, polynomial kernel 61.65%, and RBF kernel 100%. Radial Base Function Kernel (RBF) is the most accurate kernel in predicting human development index.
The comparison of distribution patterns of macrobenthic assemblages adjacent floating net cage areas at Karang Lebar Island, Jakarta: a multivariate approach
Authors: Widodo  , Putro S P , Muhammad F
Published: June 2019

Water and sediment ecosystems are often influenced by fish farming activities especially organic matter that lead to organic enrichment. The macrobenthic community is one of the benthic organisms that can be used as bioindicator to detect disturbances in aquatic environments. The purpose of this study was to compare the distribution patterns of macrobenthic assemblages adjacent to floating net cages situated at Karang Lebar Island, Jakarta using a multivariate approach. Three sampling locations were assessed, each with three stations and three replicates. Each location consisted of a floating net cage of monoculture, a floating net cage of IMTA (Integrated Multi-Trophic Aquaculture), and a reference site at Karang Lebar Island, Kepulauan Seribu, DKI Jakarta. All data concerning macrobenthic presence was expressed using diversity (H’), evenness (e) and dominance (C) indices.

Further analysis done using multivariate analysis was presented as 2D-ordination by Nonmetric Multi-Dimensional Scaling (NMDS). The composition of macrobenthic assemblages was dominated by gastropods (18 species), bivalves (9 species) and Polychaeta (7 species). Based on NMDS ordination, there was a tendency of grouping stations by sampling time. It is particularly so between sampling times II and III, and between sampling times I and III. However, this grouping did not occur between sampling times I and II. It may indicate that the macrobenthic assemblages were influenced by certain annual seasons.

Meanwhile, depending on sampling locations, the assemblages were influenced by environmental variability. The stations were grouped by the aquacultural areas and reference area on the ordination with some overlapping stations positioned among them. However, the tendency of grouping the stations between IMTA and monocultural sites did not occur, implying both farming practices have a relatively similar impact on the structure of macrobenthic assemblages.
In vitro antifungal activity of ethanolic and ethyl acetate extract of mint leaves (Mentha piperita L.) against Candida albicans
Authors: Lestyaningrum E N , Rukmi I , Pujiyanto S
Published: June 2019

The oral cavity health of human can describe their health condition. The oral candidiasis disease caused by Candida albicans, an opportunistic mycoflora in mouth cavity, can be treated with several antifungal drugs including nystatin, ketoconazole, and fluconazole. Mint (Mentha piperita L) leaves are one of the herbal ingredients used as a refresher in natural mouthwash and known to have antibacterial activity. This study aimed to determine the antifungal activity of ethanolic and ethyl acetate extract of mint leaves against C. albicans. The mint leaves were macerated with ethanol and ethyl acetate solvents, macerate obtained were then evaporated on a rotary evaporator. Ethanolic and ethyl acetate extract of mint leaves were tested for antifungal activity against C. albicans using the Kirby-Bauer method. The concentration of extract used was 40%, 60% and 80% w/v and 25,000 μg ketoconazole used as the positive control, while 100% dimethyl sulfoxide used as the negative control. The results showed that antifungal activity of ethanolic and ethyl acetate extract of mint leaves against C. albicans was weaker than 25,000 μg of ketoconazole. The strongest antifungal activity of ethyl acetate extract found at 80% w/v concentration with 9.95 mm diameter of inhibition zone, while the inhibition zone diameter formed in 80% w/v ethanolic extract was7.65 mm.
The growth and the production of potato plant supplemented by plant growth promoting rhizobacteria (PGPR)
Authors: Purwantisari S , Parman S , Karnoto  , Budihardjo K
Published: June 2019

Lack of nutrients is the major cause of potato production to decrease and potato plant not to grow well. The objective of the study was to analyze the effect of Plant Growth Promoting Rhizobacteria (PGPR) on the growth and the production of potato. The research was conducted in Kledung Village, Temanggung Regency (1,136 meter above the sea level), in 04 March – 04 June 2018. Randomized Block Design (RBD) with five treatments was applied with five treatments each of which was placed in a different plot and each plot was filled with 40 plant treatments. On the first plot, no treatment was given (P1); the second plot was given chemical fertilizer (P2), the third plot was supplemented with PGPR one dose (P3), the fourth plot was PGPR two dose (P4), and the last was the fifth plot treated with GA hormone (P5). The results showed that there was no significant difference in plant height. The highest potato production was in the group treated with PGPR 1 time was 277.1 g and the lowest was in the P2 group, which was 101.4 gr. PGPR directly increases the availability of nutrients for plants, and increases fertility. So, it, can be concluded that the administration of PGPR one dose is the best dose and increases potato production.
The Effect of plasma radiation with leaf fertilizer combination on vegetative growth of orchid planlets Dendobrium sp. at the acclimatization stage
Authors: Nisa M K , Prihastanti E , Haryanti S
Published: June 2019

Plasma discharge produces ozone for decontamination; when it is combined with leaf fertilizer, it is expected to support orchid growth. The purpose of this study is to determine the effect of plasma discharge and leaf fertilizer on the vegetative growth of orchid plants and to reduce contamination. The study used factorial Completely Randomized Design 3X3. The first factor is the duration of plasma discharge, including D0 (0 seconds), D1 (60 seconds), and D2 (120 seconds). The second factor is the level of leaf fertilizer which includes G0 (0 g/l), G1 (3 g/l), and G2 (5 g/l) given at two weeks after planting. The research parameters included the percentage of life, plant height, number of leaves, root length, wet basis, and chlorophyll content. Data are analyzed by using ANOVA (Analysis of variance) followed by DMRT Test (Duncan’s Multiple Range Test). The results showed that 60 second irradiation treatment produced the best percentage of life with low contamination. The results of the combination of plasma irradiation and leaf fertilizer treatment in 60 seconds irradiation and 3 g / l leaf fertilizer on parameters of plant height, root length, plant weight and the number of leaves.
Effect of the combination of tofu liquid waste and plant media of sago waste on the growth of cayenne (Capsicum frustescens L.)
Authors: Amalia S N , Prihastanti E , Hastuti E D
Published: June 2019

Sago and tofu waste still have high organic content so that it can be used as a planting media. This research is expected to help preserve the environment by reducing waste and using polybags in the cayenne pepper cultivation. The purpose of this study is to determine the effect of the combination of sago and tofu waste on the growth of cayenne. Research begins with taking sago waste and tofu waste, planting, and treatment. This study uses factorial Completely Randomized Design with three replications. The first factor is planting media, consisting of 5 media. The second factor is the tofu waste concentrations. The parameters of this study are plant growth and yield (wet weight and dry weight). The data is then analyzed by ANOVA (Analysis of Variance) test. The results showed that the interaction between planting media and tofu waste had a significant effect on all parameters. The treatment of planting media and black sago with tofu waste of 30% concentration showed the highest seedling growth in plant height, leaf number and area, wet and dry weight of roots and canopy because these media can provide sufficient nutrients for plants.
Effect of time fermentation kombucha tea on lipid profile of rats (Rattus norvegicus L.)
Authors: Isdadiyanto S , Tana S
Published: June 2019

The purpose of this study was to determine the effect of kombucha tea as drinking water by the time variation of fermentation. This study used 50 rats (Rattus norvegicus L.) male two months of age, with the treatment of the fermented kombucha tea for 6, 9 and 12 days at a temperature of 25°C orally. This study used a completely randomized design with 4 treatments (for 60 days) and 5 replications, namely: P0 = control, without the addition of kombucha tea, P1 = water + 1.8 ml in the morning and afternoon tea kombucha fermentation 6 days, P2 = water drink + 1.8 ml morning and afternoon tea kombucha fermentation 9 days, P3 = water + 1.8 ml in the morning and afternoon tea kombucha fermentation 12 days. The variables measured were cholesterol, HDL and LDL. Data were analyzed using ANOVA followed by Duncan test with a 95% confidence level using SPSS 10.0 software. The results showed that administering kombucha tea can raise levels of HDL, lowering LDL cholesterol and blood serum of white rats (Rattus norvegicus L.). In conclusion, kombucha tea is fermented for 6, 9 and 12 days could potentially be used as a supplement for the prevention of risk to vascular disease and coronary heart disease.
Work environment and musculoskeletal complaints of grinding workers of brass crafts
Authors: Dharmawan Y , Setyaningsih Y , Prasetyaningrum A
Published: June 2019

Brass handicraft was an informal industry in the Juana Subdistrict. Many types of work related to brass handicrafts. One of them is grinding work, which to smooth the metal pouring. The grinder worker works for 8 hours a day with a 1-hour break for rest. There is a lack of working environment and poor ventilation. This can affect work disruption and employee complaints. This aim of the study was to describe the working environment of grinding wheels in Brass handicraft SMEs, and worker complaints work in it. This research method using an observational approach by describing the grinding work environment and employee complaints. 32 grinding workers in Brass handicraft SMEs were included. The results showed that the work environment was poor sanitation, lack of ventilation and the room is narrow compared to the work tools installed. The workers worked with unergonomic work tools and heat stress exposure. The most musculoskeletal complaints are waist, back, neck and shoulder complaints. Grinder workers feel uncomfortable with their work environment. It must control the work environment by providing knowledge about occupational safety and health for the owner and worker. This effort can be done by establishing UKK post, as the center of preventive and promotive efforts of work health in Handicraft Brass SMEs.
Response of blood glucose level in hyperglycemic Rattus norvegicus towards giving of mixture of VCO and Olive oil with Vitamine E and their effects on the liver
Authors: Yuniwarti E Y W , Saraswati T R , Kusdiyantini E
Published: June 2019

Virgin coconut oil (VCO) and olive oil are edible oil containing antioxidant that can prevent free radicals in Rattus norvegicus hyperglycemic due to the damage of pancreatic beta cell after alloxan injection. Virgin coconut oil and olive oil are fatty acids that when being consumed will affect the diameter of hepatocyte cells. this study aims to analyze the response of blood glucose levels in hyperglycemic Rattus norvegicus after administration of a mixture of VCO and olive oil with vitamin E and its effects on the liver. Research materials were twenty male Rattus norvegicus were. Randomized Factorial Design was used in four treatment groups including P1 was control, P2 was mice injected with alloxan, P3 was mice injected with alloxan plus 0.1 ml/BW of each VCO and vitamin E and P4 was mice injected with alloxan plus 0.1 ml/BW of each olive oil and vitamin E. Each treatment was replicated 5 times. Feed and water were provided ad libitum for four weeks. The result showed that there was no significant difference in the level of blood glucose between P3 and P4 but significant difference with P1 and P2. The diameter of hepatocyte cells and Hepatosomatic Index not significant than the other treatments. It can be concluded that VCO and olive oil are equally capable of decreasing blood glucose and does not cause negative effects on the liver.
Cadmium (Cd) content in mangrove oyster (Crassostrea sp.) in tapak coastal water semarang, Indonesia
Authors: Saputro J A , Hidayat J W , Hariyati R
Published: June 2019

Tapak area is an estuary of Tapak river where there are many mangrove and oysters (Crassostrea sp.) found. The development of industrial estate there has been affect Tapak waters, due to waste contamination containing heavy metals. This in turn will affect the occurrence of heavy metal accumulation in oysters, a cheap fisheries protein source. This research is purposed to identified Cadmium (Cd) content in oysters and water of Tapak coastal waters, Semarang. Sampling was taken throught justified random sampling. Laboratory analysis of Cd performed by using Atomic Absorbtion Spectrofotometer (AAS). Data analysis were undertaken using descriptive analysis, numerical indices and statistical analysis. Result showed that Cadmium (Cd) content in oyster in tapak areas were ranged between 0,242 - 0,402 mg/kg, with average 0,340 mg/kg. This value is still below water quality standart regulated by ISO 7287 by 2009 in amount of 1,0 mg/kg. It is concluded that Cadmium (Cd) within the oyster is still low stage, yet there should be carefully consumed, because Cadmium (Cd) was toxic and bioaccumulative heavy metal.
Impact of a El-Nino Southern Oscillation (ENSO) to Fluctuation of Skipjack Catch Production in Southern East Java
Authors: Handayani C , Soepardjo A H , Aldrian E
Published: June 2019

There are challenges in utilizing marine resources in Indonesia and one of them is environmental changes caused by ENSO phenomenon. Skipjack catch production in southern Malang has been fluctuated since this phenomenon occurred. Lack of information about ENSO phenomenon among fisherman has led to under-utilized fish production which resulting in less Skipjack caught during ENSO. The purpose of this study was to analyze the impact of ENSO phenomenon to catch production of Skipjack. The method used in this study was by gathering secondary data of catch production of skipjack and seawater surface temperature from satellite image of level 3 AQUA-MODIS with 4 km resolution during ENSO which occurred between 2014-2016. The result of this study showed that seawater surface temperature on southern Malang was 24,825-32,055°C. Southern Oscillation Index (SOI) showed strong El-Nino occurred between May-October 2015, La-Nina occurred between June-September 2016. Analysis data showed that there was less significant influence of ENSO and seawater surface temperature which led to other variables may contribute into ENSO. During El-Nino 2015 there was sharp increasing of skipjack catch production in southern Malang and the major cause was colder seawater surface temperature, this indicating that the seawater was rich of nutrients. Supporting by optimum water condition during El-Nino that location was rich of food resources which suits some of big pelagic fishes, particularly skipjack.
The diversity of plankton in fish aquaculture water of minapolitan Menayu village, Muntilan district, Magelang regency
Authors: Wulandari A , Putro S P , Muhammad F
Published: June 2019

Plankton is a group of the organism which takes an important role in a water ecosystem because Plankton is natural food for larva organism in the water. The level of plankton production in the water can be used for suspecting potency of stable and unstable water. The condition of water can affect Plankton’s life sustainability or their survival which is their diversity. The stability of water condition is the key successful determiner of aquaculture of Trout in Minapolitan, Merayu Village. From the four stations which had been taken its sample, it was found some Phylum of plankton such as Bacillariophyte, Chlorophyte, Cyanophyte, Dinophyte, Sarcodine, Copepoda and Rotifera with 31 genera. Data was taken then calculated by using the Shannon Wiener Method. Base on the Index value of diversity in Station I was about 1.54 – 1.72, Station II was about 1.71 – 2.37, station III was about 1.72 – 2.18 and the station IV was about 2.60 – 3.04. The index of homogeneity in the station I was about 1.27 – 2.08, station II was about 1.78 – 3.17, station III was about 2.12 – 2.96 and the station IV was about 2.48 – 4,43. The Index of dominance in the station I was about 0.93 – 0.96, station II was about 1.78 – 3.14, station III was about 0.78 – 0.91 and station IV was about 0.92 – 0.96. Based on the index value of diversity of plankton in aquaculture water was classified as medium, the index of homogeneity was evenly distributed, and its index of dominance was high. The condition of fish aquaculture in Minapolitan, Menayu village is still in good stability ( stable) and proper for Trout Fish Aquaculture based on its index of Biology.
Evaluation of the fragmentation of an oxide-silicate material by image analysis
Authors: Ignatova A M , Ignatov M N , Nikhamkin M A , Voronov L V
Published: June 2019

The study of the fragmentation parameters of non-metal objects, usually oxide-silicate, when colliding with metal barriers at various speeds is an important aspect of ensuring and assessing the reliability of the structure in aviation and space engineering, as they help simulate collision situations with striking objects in the air and space. With such an assessment, the size and number of fracture fragments are determined, as well as their speed and direction of movement at the moment of impact and after it. The problem of estimating the physical parameters of fracture fragments, such as size and weight, has been solved quite well, however, these methods are quite laborious. Evaluation of the speed and direction of movement of the fracture fragments is carried out, as a rule, when analysing the video recording of an experiment. The quality and information content of such an assessment depends on the quality of the video, shooting parameters and processing method. The paper proposes to use the image analysis implemented by using open source software ImageJ-Fiji for video processing and for estimating the parameters of fracture fragments. The paper discusses the experimental data on the impact of a spherical object of an oxide-silicate composition with a diameter of 23 mm with a static barrier - a sheet of titanium alloy 2 mm thick at a speed of 230 m/s. It is shown that using image analysis and statistical data processing, parameters such as the size and number of fracture fragments, the initial and final velocities of objects moving, as well as the direction of their movement can be set.
Neural networks playing ‘matching pennies’ with each other: reproducibility of game dynamics
Authors: Dolgova T , Bartsev S
Published: June 2019

Reflection is an essential feature of consciousness and possibly the single most important one. This fact allows us to simplify the objective of the concept of ‘neural correlates of consciousness’ and to focus investigations on reflection itself. Reflexive games are the concentrated and pure embodiment of reflection manifestation without the addition of other higher cognitive functions. In this paper, we use the game ‘matching pennies’ (“Odd-Even”) in order to trace the strategies and possible patterns of recurrent neural network operation. Experimental results show the splitting of all considered game patterns into two groups. A significant difference was observed in these groups of patterns, indicating a qualitative difference in game dynamics apparently due to the qualitatively different dynamic patterns of neuron excitations of the networks. A similar splitting of all players into two groups was found by other authors for human players, which differ in terms of the reflection availability. By this, we can assume that one of the causes of the splitting is that the presence of reflection in a particular group of recurrent neural networks dramatically changes the game meta-strategy.
A global optimization approach to maximization of the probability function
Authors: Khamisov O
Published: June 2019

We suggest an approach that reduces the problem of maximizing the probability function to a deterministic global optimization problem. The reduction technique is described and discussed. A numerical example illustrating efficiency of the final algorithm is provided.
Methods of business processes competitiveness increasing of the rocket and space industry enterprise
Authors: Kukartsev A V , Boyko A A , Kukartsev V V , Tynchenko V S , Bukhtoyarov V V , Tynchenko S V
Published: June 2019

This article observes problems of the branches of the Russian defense industry complex. The short comparative analysis of scientific approaches and applied methods of management of innovative business processes of the enterprise of the rocket and space industry is carried out. Features and area of assignment of a system method of management and enhancement of innovative business processes of the enterprise and the method based on “end-to-end” business processes are provided. Need of transition from functional approach to enterprise management, widespread in the last century, to process-based management is proved. The algorithm for increasing the competitiveness of business processes of an enterprise of rocket and space industry is considered in the article. It allows to consider the nature and conditions of implementation of innovative activities and provide not only the effective use of limited resources, but also the sustainable development of the rocket and space industry enterprise and an industry in general, allowing to successfully solve problems of increase in defense capability of the state. The need of control technique development by innovative business processes of the rocket and space industry enterprise, necessary for increase in their competitiveness, is proved.
The synthesis of the algorithms for adaptive control by nonlinear dynamic objects on the basis of the neural network
Authors: Bolnokin V E , Mutin D I , Mutina E I , Storozhev S V
Published: June 2019

The present work is devoted to a problem of Synthesis of the algorithms for adaptive control by nonlinear dynamic objects with the incomplete mathematical description. The method of synthesis adaptive neural networks is considered on the basis of application of some positions of a method of analytical designing. The law of adaptation is defined on a condition of maintenance of stability of the closed system with the help of the second method of Lyapunov. The resulting control systems can operate in uncertain conditions caused by external and internal disturbances. The designed parameter adaptation law of the controllers admits simple implementation, thereby facilitating the on-line adaptation process.
Specifics of the tasks by adjusting the parameters of the logical data analysis method
Authors: Kuzmich R I , Vinogradova A I
Published: June 2019

One of the advantages of the data analysis method is the ability to take into account the specifics of the problem. When this advantage is realized in practice, the method parameters are adjusted to a specific task. The more parameters a method needs to be configured, the greater is the possible number of implementations. However, in this case it becomes more difficult to configure this method for a specific task. Note also that the correct setting of the method parameters allows you to find a compromise between the criteria set by the customer to the results of the method. The paper presents the possibility of adjusting the parameters of the method of logical data analysis in order to take into account the specifics of the problem being solved, and adjusts the parameters of the method in solving the problem of controlling the landing of a spacecraft.
Analysis of characteristics of the local search method in the process of solving the knapsack optimization problem in the decision support systems
Authors: Rahman P A , Bolnokin V E
Published: June 2019

This scientific paper deals with the knapsack optimization task and solving method based on the local search in the boolean space. The obtained by the author analytical formulas for assessment of the upper bound for the amount of enumeration of points in the boolean space and lower bound for the quality of suboptimal solutions in the process of solving the knapsack optimization problem by the local search method are also discussed. Finally, the results of experimental research of the amount of enumeration of points in the boolean space and quality of suboptimal solutions for the different initial conditions of the knapsack optimization task, which confirmed the analytical formulas, are also given.
Multimode control for optomechanical scanners with elastic links
Authors: Vyskub V G , Mutina E I , Storozhev V I
Published: June 2019

The paper deals with the issues of control for optomechanical scanners with elastic links. Restrictions of various control laws in the solution of problems of stabilization, positioning, program movement are resulted. The expediency of using multi-mode control to improve the quality of optical scanning is shown.
Modelling of the technological process of multiple filtering suspensions with multi-layered filter
Authors: Ravshanov N , Saidov U M , Mutin D I
Published: June 2019

Although a technological process of filtration with multi-layered filters is well-known in industry (purification of such liquid solutions as spinning solutions, liquid fuels, drinking liquids, pharmaceuticals, etc.), very few studies have systematically quantified its mechanism, and even less have characterized the affect of its parameters on operating costs and the quality of the final product. In this study, there was developed a mathematical model of multiple filtration of suspensions with multi-layered filter, a computational algorithm for solving the problem as well as software for carrying out computational experiments. The developed mathematical software allows to carry out many-sided study and forecast the technological process of filtration in order to make appropriate management decisions.
Credit rating of natural person by expert knowledge compilation in logic basis of neural networks
Authors: Rzayev R R , Aliyev A A , Kravets O Ja
Published: June 2019

The paper discusses the combined use of expert systems and neural network to evaluation the solvency of natural person. Corresponding comprehensive approach to individual credit rating is proposed by compilation of the expert and/or heuristic knowledge about the estimates of the solvency of potential borrowers under uncertainty. Obtained expert estimates of the current solvency of individuals are based on the preliminary expert estimate of influence factors for their ranking and the weights of their relative influence. Adequate translation of the external knowledge relative to weighted summary estimates of natural person solvency in effective internal knowledge is compiled in the logical basis of a multi-layer feedforward neural network.
Comparative modelling analysis in the applications of parametric and nonparametric approaches
Authors: Denisov M A , Ikonnikov O A , Ezhemanskaya S N , Korpacheva L N
Published: June 2019

The paper considers the problem of estimating a sample that contains data characterizing one-room apartments in Krasnoyarsk. Two approaches are described: parametric and nonparametric. A linear regression model is used as a parametric structure. Nonparametric methods are implemented using the Nadaraya-Watson kernel estimate. The obtained results are compared as a result of which a conclusion is formulated about which model better approximates the original sample.
Influence of technologies on LNG market development
Authors: Danilov Roman , Arabyan Marina , Usov Dmitriy
Published: June 2019

The article is devoted to the issues of influence of liquid natural gas (LNG) technologies on transformation of LNG market. The relevance of the article is determined by several factors: growth in demand of LNG, development of gas liquefaction technologies, necessity of CO2 emissions reduction and diversification of gas supply. All these factors contribute to development of gas liquefaction technologies and regasification LNG and also to assuming importance of companies that provide such technologies. Consequently, the article reveals competitive position which means possession of technologies but not only fossil fuels. The article presents evolution of technologies of gas liquefaction. In addition, the article shows advantages of LNG in comparison to other energy sources. Also in the article the analysis of the LNG service market is conducted. The article reveals advantages and disadvantages of the companies that offer services on researching gas fields, industry engineering and gas supply. Moreover, the article presents advantages and disadvantages of gas liquefaction methods. What is more, the article highlights the importance of not only gas liquefaction but also of transportation, storage and regasification of LNG. Furthermore, the article reveals consequences of LNG technologies development for energy field. The article concludes importance of technologies on LNG market and presents trends in LNG market development.
Formation of a mechanism to ensure the stability of the electric power complex
Authors: Gibadullin A A , Pulyaeva V N , Kharitonova E N , Erygin Yu V , Kharitonova N A
Published: June 2019

The paper deals with issues of stable functioning and development of the electric power complex of the Russian Federation. The analysis carried out in the study revealed a number of factors that adversely affect the electric power complex, including the creation of completely new conditions for the functioning of electric power companies, the formation of competition and the electric power market, an increase in equipment service life and a fall in the financial stability of the electric power complex. It was found in the work that such changes occur not only the first year, but over a long period of time, the analyzed indicators do not improve, but, on the contrary, they are worsened in terms of qualitative and quantitative indicators. It was substantiated in the work that the solution of emerging problems is possible through the merger of energy companies, making it possible to reduce the use of inefficient and wasteful energy, improve the financial situation and monitor all business processes involved in the production of the energy company. Creating a unified corporate integrated structure will increase the investment attractiveness of the industry and concentrate financial resources on the most popular and highly efficient projects. In conclusion, the study presents the main findings and results of the work.
The development of the logistics system of the electric power complex
Authors: Pulyaeva V N , Zlotnikova G K , Gibadullin A A , Romanova Ju A , Yuryeva A A
Published: June 2019

The article is devoted to the development of the logistics system of the electric power complex of the Russian Federation. The study analyzed the electric power potential, namely, the estimated capacity utilization, the availability of interstate power lines and the level of competitiveness of Russian electricity. As a result of the analysis, it was revealed that about 80 GW of production capacity is not used, interstate power lines allow transmitting tens of thousands of billions of kilowatt-hours, and the cost of electrical energy is much lower than in other states. Further, the work presented the development mechanisms of the logistics system of the electric power complex, which consist in the need to break down territories by the level of capacity utilization, determine the pace of development of territories, plan consumption and production of electric energy and determine the possibility of using existing electrical networks or building new intergovernmental transmission lines. At the end of the article, the main conclusions of the study are made.
Information system UML-model development by OMG RUP technology for Food industry enterprises
Authors: Blagodatsky G A , Vologdin S V , Gorokhov M M , Dokuchaev D E
Published: June 2019

An important element in planning the development of computerized control systems is a systematic study of the subject area. Such modeling used to solve the problem of “software development crisis” - to assess the scale of the system, and the necessary means for its implementation. The paper presents the UML-model of the classes of a food industry enterprise using the example of a bakery. The enterprise actually works by the JIT system way. Therefore, during automation, one must take into account that the main process is strongly associated with the results of auxiliary processes. Based on use-case diagrams, a UML - model of classes for production has been developed. An approach is proposed to solve the problem of designing the structure of an information system based on the UML - classes model of the subject area. The RUP approach to the development of the model of an information system for managing auxiliary business processes of an industrial enterprise was implemented. As a result of the research it was revealed that the data structure will consist of 3 main sections providing information needs of production, management and delivery of finished products to implementation points. The high complexity of the information system’s database is indicated; because of the minimum number of basic classes of domain entities that group tables according to «1- to - n» - connections is not less than 15.
Using neural network models in the quality management system for the software defect prediction
Authors: Danilov A D , Samotsvet D A , Mugatina V M
Published: June 2019

Reasonable distribution of resources for regression testing execution of software is considered to be the most important task. Finding the best solution for it may significantly reduce expenses on the whole system development. Neural network model may be used for testing management, as it has fault-prediction ability in each program module. Code parameters are independent variables and presence of errors is a dependent value in such model. Neural network can learn on real data – real testing product. Testing results received from different environment may be integrated easily in the knowledge base. This allows neural network to learn during each testing iteration. The module that potentially contains an error is tested at the first place and more thoroughly. Presented method may predict testing results and distribute resources accordingly.
Fuzzy evaluation of the technical re-equipment project efficiency
Authors: Mutovkina N Yu , Sergeev M Yu
Published: June 2019

The article describes the computer implementation of an objective assessment and selection of the best project for the technical re-equipment of an industrial enterprise. Based on the opinions of experts, it is established that the efficiency of the technical re-equipment project is an integral indicator consisting of four aggregated characteristics: economic efficiency, technical and technological efficiency, social efficiency and environmental efficiency. Each of these characteristics consists of individual indicators, expressed in different units of measurement. Different perceptions by individuals of the importance of each of these indicators, as well as a wide variation in understanding how an effective technical re-equipment project should look, make the development of such an appraisal model relevant. The model of estimation is based on the ideas of the theory of fuzzy logic and fuzzy sets. The model is developed in the Fuzzy Logic Toolbox package of the MATLAB software environment.