bluuebunny/crossref_metadata_2025_split huggingface dataset:
Products of processing of Jerusalem artichoke for enrichment of food systems based on resources of rabbit breeding
Authors: Kurchaeva E E , Safonova Yu A , Maksimov I V , Kalashnikova S V 
Published: May 2020

Abstract
The development of meat-based foods enriched with functional ingredients is an urgent and promising direction and allows expanding the market of products produced for healthy eating. The aim of the work was to develop prescription-component solutions of meat-growing systems with functional properties. The efficiency of creation of meat and vegetable chopped semi-finished products enriched with dietary fibers obtained on the basis of Jerusalem artichoke tubers with the use of enzyme preparation Pectinase and powdered semi-finished product of Jerusalem artichoke is shown. The composition of meat systems on the basis of resources of animal husbandry and rabbit breeding is proved. The optimal dosage of introduction of vegetable additives from Jerusalem artichoke (15% for dietary fibers and 12% for powder of Jerusalem artichoke) on the basis of studying functional and technological properties of forcemeat systems is experimentally established. The chemical composition and organoleptic characteristics of chopped semi-finished products of enriched composition were studied and the positive influence of introduced plant composites on quality indicators and flavor profile was established.
The reliability analysis of combined harvesters in the usual conditions of operation
Authors: Pavlyuk R V , Lebedev A T , Zhevora Y I , Zubenko E V 
Published: May 2020

Abstract
The article reflects the results of operational tests of grain harvesters of various years of production of both domestic and imported production in the farms of the Stavropol Territory. In recent years more equipment has been purchased, but its numerical volumes are still small and do not cover the needs of rural commodity producers. Consequently, the work is mainly carried out on old and worn-out equipment, which, in turn, causes an increase in the wear and tear of the farm's agricultural enterprises. Reduction of combine harvesters and, as a result, increased loads on them leads to a significant increase in the share of failures of these agricultural machines. The duration of harvesting grain directly depends on the number of combine harvesters, their reliability and productivity. The level of reliability of grain harvesters was estimated based on the results of continuous and selective timing of the work of agricultural machines. The specific weight and significance of each of the components of the averaged shift time balance are described. It is established that the productivity of combines with the proper level of maintenance does not depend on the period of their operation.
Electromagnetic compatibility of functional elements of autonomous power supply systems
Authors: Sobol A N , Begday S N , Andreeva A A , Kolomeytsev A E 
Published: May 2020

Abstract
Currently, static power converters are used as part of autonomous power supply systems. System developers deal with electromagnetic compatibility of sources, converters and consumers of electricity, due to the switching of power electronic devices that create electromagnetic interference and deteriorate quality of electricity and cause malfunction of electrical equipment. The article discusses causes of electromagnetic interference and ways to eliminate it. The noise level is reduced due to the use of single-phase-three-phase transformers with a rotating magnetic field and universal static converters as part of static converters, which can reduce the number of power electronic devices in the autonomous system - sources of electromagnetic interference. The basic rules of installation of equipment that reduces the electromagnetic interference were analyzed. An effective method for reducing the electromagnetic interference is application of passive reactive filters at the input and output of static converters, as well as protection of equipment from external electromagnetic fields by electrostatic shields. The methods for reducing the electromagnetic interference will increase the level of electromagnetic compatibility of equipment used as part of the autonomous power supply system.
Machine for magnetic treatment of water used in baking
Authors: Starodubtseva G P , Lyubaya S I , Gabrielyan Sh Zh , Rubtsova E I , Kopylova O S 
Published: May 2020

Abstract
The quality of bakery products depends on properties of flour, water, and yeast. The most important factor in is quantity and quality of gluten, which depends on the gas-holding capacity of dough, and porosity, elasticity, and the volume of baked bread. The search for opportunities to improve quality of bakery products by affecting other components of dough, one of which is water is a relevant issue. Quantity and quality of water depend on the properties of dough and its products. Water is a solvent regulating intensity of enzymatic processes, both in yeast and in dough. Researchers and manufacturers expose water to various influences: degassing, heat treatment, ionization, sound processing and ultrasound. In recent years, the activation of natural water by electromagnetic fields has attracted attention of many researchers. The article presents a machine for electromagnetic treatment (EMF) of food solutions, in particular water used in baking. Due to some technical solutions, it was possible to reduce the heating temperature of water below 320C, which is mandatory for kneading the dough. It can eliminate the ingress of toxic electrolysis products into the water. The machine can be easily assembled, disassembled and washed. It has an active component of power below similar devices used in heat power engineering. The machine can be used both in laboratory conditions and in industrial production.
Raising of fuel utilization efficiency in the contact heat exchange boilers
Authors: Stoyanov N , Slyusarev G , Khashchenko A , Grinchenko V 
Published: May 2020

Abstract
The relevance of the study is due to low effective utilization of heat of fuel combustion in existing heat generators, in particular, boiler units intended for heat supply to industrial enterprises and residential buildings. Another important research area of the study is the ascertaining ability of a boiler to operate on raw water, which hasn’t undergone a process of preliminary reduction of hardness. The article reveals the use of latent heat of water vapor contained in the exhaust gases in all models of existing boiler units. The authors proposed and described a method for the effective utilization of the latent heat by means of contact heating of the coolant.
Electrical equipment of the test bench and safety clutches adjustment
Authors: Strizhkov I G , Chesnyuk E N 
Published: May 2020

Abstract
Among the types of safety clutches tests, operational life testing is singled out, which verifies the reliability of the clutch during multiple operations and change of the clutch settings during multiple operations. The task of rational use of electricity by a test bench during operational life testing is of great importance. A rational scheme of the electrical equipment of the test bench for operational life testing and safety clutches adjustment is given. The circuit with return circulation of the load power of the safety clutch is applied in the equipment of the test bench, which saves the energy consumed for the testing. Patterns of adjustment of rotational speed and the load torque of the proposed device are considered. It is of interest for designers of test equipment and specialists in safety clutches adjustment.
Wastewater preparation for irrigation based on the sorption filtering technology
Authors: Ovchinnikov A S , Bocharnikov V S , Denisova M A , Meshcheryakov M P , Bocharnikova O V 
Published: May 2020

Abstract
The article presents the results of scientific research in the field of wastewater purification from heavy metals using natural sorbents as a filter load for a sorption filter. Based on the obtained experimental data, the particle size distribution of the natural sorbent is correctly selected, which in turn directly affects the quality of wastewater purification from various harmful impurities. During the experiments, the required filtering time intervals were established and the absorption effect of the sorbent in relation to heavy metals and ammonium was determined. Filtering was carried out at various intervals for 0.2, 1, 12, and 24 hours. It was found that the achievement of the maximum permissible concentration of impurities in wastewater was reached in 24 hours of filtration. The conducted studies will allow one to make the more reliable calculations and choose the optimal filter load for wastewater purification from heavy metals in the sorption filter, which in turn will allow for the further use of treated wastewater in irrigation systems and increase the economic effect when irrigating crops.
Influence of dry deposition velocity to the ground in the dispersion of the air pollutants
Authors: Tirabassi T , Costa C P , Rui K 
Published: May 2020

Abstract
Through numerical simulations it is studied the influence of dry deposition to the ground on air pollution concentrations. The simulations utilize the steady-state analytical solution of the advection-diffusion equation considering a vertically inhomogeneous PBL. The simulations showed that the phenomenon of local dry deposition can strongly influence the distribution of the air pollution concentrations and maximum concentrations near the ground. The work is an example of the usefulness of analytical solutions as a technical tool to study and understand the transport and diffusion in the atmosphere.
Emission Inventory of Pollutants (CO, SO2, PM2.5, and NOX) In Jakarta Indonesia
Authors: Lestari Puji , Damayanti Seny , Arrohman Maulana Khafid 
Published: May 2020

Abstract
Emission inventory of pollutants (CO, SO2, PM2,5, and NOx) from various sectors included power plants, road transportation, industry, and residential and commercial was conducted in Jakarta for the year 2005-2015. Emissions load of these pollutants was calculated using Gains (Greenhouse gas model - Air pollution Interactions and Synergies) model, based on energy used. Control technology was also applied for pollutants emitted from power plant, industry as well as residential and commercial, while control of EURO II and EURO III were considered for transportation sector. Emission inventory result shows that in 2015, the total emission load for NOx, and CO were estimated around 52.9 kton and 143.9 kton respectively. The biggest contributor to these pollutants were from road transportation sector which contributed of 57%, and 93% for NOx, and CO respectively. From transportation sector, heavy duty vehicles is the biggest contributor of NOx and BC emission, while for CO is mostly emitted from motorcycles. While total emission load for PM2.5 in Jakarta is about 4.6 kton, and it is mostly emitted from road transportation and industrial combustion sectors which are 2.1 kton (46%) and 0.4 kton (43%), respectively. The heavy duty vehicles was still the highest contributor of PM2.5 emission in the transport sector. The total SO2 emission load is 19.7 kton, and it is mostly released from industrial combustion that contribute almost 67% of total emission.
Potential environmental impact of I/M Programs in Urban Centers based on RSD monitoring campaigns
Authors: Huertas J I , Mendoza A , Huertas M E , Ibarra R , Mogro A E 
Published: May 2020

Abstract
Vehicle Inspection and Maintenance (I/M) programs were originally created for controlling the deterioration of air quality by identifying vehicles with high emissions and forcing them to undergo for mechanical maintenance. We describe a methodology, based on remote sensing campaigns, to evaluate the potential emission reductions of I/M programs in urban centers. For this purpose, a remote sensing monitoring campaign was performed in the Monterrey’s Metropolitan Area (MMA), Mexico. Four different sectors in the MMA were selected, sampling, under similar conditions to those found in ASM test, approximately 0.4% of the vehicles registered in this region. Results indicated that 39.0% of the vehicles would not comply the current national regulations for in-use vehicles. With a conservative scenario, the implementation of a vehicle I/M program in this urban center has the potential of reducing ∼69%, ∼42% and ∼28% the current HC, CO, and NO mass emissions, respectively.
BTEX Emissions, Seasonal Variability and its Associated Health Risks on Human Health in Outdoor Air of Delhi
Authors: Garg A , Gupta NC 
Published: May 2020

Abstract
Benzene, toluene, ethylbenzene and xylene (BTEX) are classified as hazardous compounds and their toxic effects on human health are well documented. These compounds are volatile in nature and play an important role in atmospheric chemistry as they react with nitrogen dioxide to form secondary air pollutants like ozone. These compounds are emitted into the atmosphere by various anthropogenic sources including motorized transport run on gasoline and diesel, fuel wood combustion, furniture materials and many other consumerism processes also contribute. In this study, we have selected a major connectivity hub location for the sampling of BTEX. The BTEX samples were obtained through activated charcoal tube using passive method of sampling and were subjected for analysis using GC-FID from November, 2017 to June 2018. It has been observed that the levels of BTEX were found higher for winter season followed by autumn, spring and least during summer season. The associated cancer and non-cancer risks were calculated using the USEPA methodology for health risk assessment. The levels of toluene were higher than xylene followed by ethylbenzene and benzene. The standard for benzene proposed by Central Pollution Control Board is 5 μg/m3 but in this work the levels were observed higher than the standard value. It has been found that the levels of toluene were 3-4 times higher during the traffic period in comparison with non-traffic period. The estimated cancer risks of benzene were observed to be higher than the prescribed standard value by World Health Organization. These high levels of emissions and their associated health risks is a matter of concern for the public health.
Discrete Ordinate Method for the Estimation of Downward Solar Flux in Penang, Malaysia
Authors: Yusuf H , Tahrin N Mohamed , Lim H.S 
Published: May 2020

Abstract
Downward shortwave solar energy is a very important parameter for the surface energy balance, which affects human life and other activities of the ecosystem. It is also one of the critical terms in the study of climate change that requires consistent contributions from different researchers. In this paper, we proposed the use of Discrete Ordinate Radiative Transfer method (DISORT) to estimate the downward Total Solar Flux (TSF) in Penang, Malaysia. The measured aerosols optical properties obtained from the ground-based Aerosol Robotic Network (AERONET) data were used as inputs to the DISORT codes. Data of the pyranometer ground-based measurements of TSF were also used for validation of the simulated results from this study. The results for two days, 17 January 2015 and 1 February 2015, have been used to test the performance and accuracy of the method. It is found that there is good agreement between the results from this study and the ground-based measurement results available from AERONET. The validation results show that for the first day (r = 0.9968), (R2 = 0.9936), root-mean-square error (RMSE) of 36.66 and mean absolute percentage error (MAPE) is 16%. For the second day (r = 0.9986), (R2 = 0.9971), (RMSE = 33.06), (MAPE = 12%). The small variation between the two results was due to error that might have arisen because of the model imperfection, and from the small inefficiency of the pyranometer and sunphotometer. Nevertheless, this study shows that the proposed integration of ground-based and model simulation is an excellent and a valid alternative, for the estimates of solar radiation and the study of the impact of aerosols on the TSF everywhere and at all times, particularly when the results from other sources are not available.
The projected deposition and removal of particulate matter by green façade drapes: a case study at SAINTGITS.
Authors: Thomas Sajan , Herbert Joselin , Varghese Jacob Thottathil , Sathish C.R.K , Quadir Abdul , Abraham Amal Mathew , Mohemed Anees , Nooh Arshad K 
Published: May 2020

Abstract
The hazardous sub-micron particulate matter (PM2.5) that goes deep in to the respiratory system causes significant threat to the life expectancy of humans. The atmospheric wind and the diurnal dry bulb temperature are the main factors which govern the pollutant dispersion. This work quantifies the wind assisted deposition of PM2.5 and the natural atmospheric cleansing by a massive green façade drape. The proposed leaf foliage covers the entire South and the West facing walls of a six storied built structure (Visvesvaraya Block) at SAINTGITS, a prominent Technological Institution at Kottayam, Kerala State, India. Whilst the south blowing winds assist the deposition of PM2.5 on to the façade foliage, the removal rate of the pollutants is directly proportional to the stomata opening and the humidity. This case study clearly depicts the natural capability of green façade retrofits to cleanse the atmosphere, thus helps to attain one of the seventeen Sustainable Development Goals (SDGs) of UN.
A Gamified Approach on Learning Logic Gates to Improve Student’s Engagement
Authors: Torio J O , Bigueras R T , Maligat D E , Arispe M A , Dela Cruz J S 
Published: May 2020

Abstract
Gamification is the application of game design elements and game mechanics in a non-game context. This concept has been successfully used in several fields such as businesses and education. As such, the gamification e-learning approach could be used in education, particularly in a digital logic subject area, as a tool to improve student engagement. However, few research and design guidelines exist regarding a gamified learning approach for digital logic. The objective of this paper is to propose a complete framework for the development of a gamified learning application for digital logic gates that will improve student’s engagement. We first investigate the design, the principles, and parameters used to measure student engagement from a variety of related work and identify which design, principles and parameters that shall be applicable and significant in the development of a gamified learning application that will drive an engaged student. This framework shall provide the game developers a guide and shall help standardize the development process of a gamified learning approach in a digital logic subject area in the future.
Temperature and Humidity Monitoring System in Broiler Poultry Farm
Authors: Paputungan Irving V , Faruq Abidurrahman Al , Puspasari Fitri , Hakim Furqaan Al , Fahrurrozi Imam , Oktiawati Unan Y , Mutakhiroh Iing 
Published: May 2020

Abstract
Broiler chicken is a livestock that is characterized by fast growing. Temperature and humidity become the most important factors during their growth. Unmonitored and uncontrolled temperature and humidity within the cage can lead to reduced productivity and high rate of mortality. This paper presents a prototype that is able to monitor such factors automatically. A prototype of sensor using DHT11 and Arduino DUE microcontroller has been developed. Android-based app is deployed to support the prototype. A web-based application is also built to show the monitoring result comprehensively. The result shows that the sensor is able to continuously capture the current temperature and humidity of the chicken cage for some periods. After the implementation, the number of death chicks are decreasing from 5 to 4 chicks per day. Controlling both factors will be the future work.
Establishing the Syntactic Rules of the Kankanaey Dialect using RNN
Authors: Aspiras Laurie Lynne F. , Hanbal Ibrahim F. , Ingosan Jeffrey S. , Panlilio Kim Benedict P. 
Published: May 2020

Abstract
The diverse culture and ethnic groups in the Philippines creates a beautiful mixture of ideas, traditions, and practices but also makes it hard for researchers to keep track of them all. One integral part of any culture is language, with one of the most spoken languages in the Cordillera Administrative Region (CAR) being Kankanaey. Unfortunately, it has very little resources and documentation for it. This paper presents a corpus created for Kankanaey that contains 3412 words and was trained with a dataset containing 400 Kankanaey sentences in order to establish its syntactic rules. Data for the collected texts for Kankanaey were taken from public sources online and were organized into various categories based on the type of content. Training and testing was done to establish the syntactic rules using the Keras API. The rules were derived by having each word in the training sentences tagged with the corresponding POS tag. After tagging, the number of POS tags were then expanded to all possible combinations of the POS which resulted in the documenting of 1,722 syntactic rules for Kankanaey with the model having an accuracy of 64% when it was tested to identify the syntactic rules in 50 test sentences.
Determining the usage feasibility of battery for disaster mitigation devices using Fuzzy Inference with Tsukamoto
Authors: Darmawan Agus , Farhan Ode La M. , Kurniadi Sabri , Wahyuni Elyza G. 
Published: May 2020

Abstract
Batteries have become an electrochemical device that plays an essential role in human life. Lately, batteries have also been used in disaster research, especially volcanic disaster mitigation in Indonesia. In addition, some electronic devices require a high amount of batteries thus these devices can remain alive for the continuation of mitigation research. Therefore, we research the fuzzy inference system to determine the usage feasibility of battery in Mount Merapi. The system is used for the simulation of the application of battery monitoring which is done periodically. As a result, users can monitor and evaluate the use of a high amount of batteries at several installation points easily and cost-effectively. Moreover, from the results of the test cases using the fuzzy inference system and fuzzy manual calculations, it can be concluded that both calculations produce the same output of fuzzy value for two test cases with a different dataset.
Data augmentation on spontaneous Indonesian automatic speech recognition using statistical machine translation
Authors: Hadiwinoto P N , Lestari D P 
Published: May 2020

Abstract
Language model plays an important role in decoding process of the automatic speech recognition. The accuracy of spontaneous speech recognition is still very low compared to dictated speech of the Indonesian automatic speech recognition. It is due to the lack of the number of spontaneous data. Collecting spontaneous data is also difficult to do, so one of the candidate solutions is to augment data from existing spontaneous data. In this research, experiments are conducted on language models to improve the accuracy of spontaneous Indonesian speech recognition by conducting data augmentation. Data augmentation in this research is done by using statistical machine translation named ‘Moses’. Language modeling technique used here is n-gram. GMM-HMM is used for acoustic modeling. First, spontaneous text corpus is added to the text corpus, then the data augmentation is conducted. When the language model is formed from the addition of a spontaneous text corpus, there is an increase in accuracy of 3.59% relative to the baseline. When data augmentation is done on language model there is an increase in accuracy of 2.74% relative to the baseline. However, this decrease is considered not significant compared to the effort required in collecting spontaneous data manually.