bluuebunny/crossref_metadata_2025 huggingface dataset:
Extreme hurricane rainfall affecting the Caribbean mitigated by the paris agreement goals
Authors: L Vosper E , M Mitchell D , Emanuel K
Published: May 2020

Hurricanes are among the most impactful extreme weather events affecting small island states such as the Caribbean and require long-term planning for community and infrastructure resilience. By coupling an offline dynamical hurricane model to the output of a large ensemble of global climate model simulations from the Half a degree of Additional warming Prognosis and Projected Impacts (HAPPI) project, we assess how the impacts of hurricanes may change under the Paris Climate goals. Specifically, we concentrate on hurricane rainfall over particular regions, with both the mobility and intensity of a hurricane being key drivers of local level impacts. For example, Hurricane Dorian (2019) caused widespread devastation when it stalled over Bahamas as a category 5 storm. We show that since 1970 only one other hurricane stalled at this strength: Hurricane Mitch (1998). Due to a combination of increased stalling and precipitation yield under a warmer world, our analysis indicates a greater likelihood of extreme hurricane rainfall occurring in the Caribbean under both Paris Agreement scenarios of 1.5 ∘C and 2 ∘C Global Warming goals, compared to present climate projections. Focusing on specific hurricane events, we show that a rainfall event equal in magnitude to Hurricane Maria is around half as likely to occur under the 1.5 ∘C Paris Agreement goal compared to a 2 ∘C warmer climate. Our results highlight the need for more research into hurricanes in the Caribbean, an area which has traditionally received far less attention than mainland USA and requires more comprehensive infrastructure planning.
Optimization of the thermal power plant operation by distributing exergy flows in the heat pump
Authors: Amerkhanov R A , Arakelyan N S , Dvorniy V V
Published: May 2020

The possibility of wide use in practice and implementation of optimization of a thermal and power plant on the basis of exergy analysis with the use of target functions are presented in the article. A tree of thermal economic costs of a solar thermal supply system with possible distribution of flows in a thermal and power plant with the representation of a block diagram is considered. The exergy characteristics of each element of the system are given in the form of dependence. It determines the exergy flux density of total solar radiation on the surface of solar collectors. The schedule of total solar radiation, average monthly air temperature and total exergy amount of the city of Krasnodar as well as the graphs of distribution of the price of 1kW of exergy for months of a year were taken into account. The distribution of exergy flows in the heat pump and its energy efficiency are estimated by the coefficient of conversion.
Justification of dependence of the sprinkler machine power supply system efficiency on the irrigation process parameters
Authors: Bakirov S M , Logacheva O V , Shlyupikov S V
Published: May 2020

The article considers the problem of choosing the power supply system of the sprinkler machine. The energy supply system can be represented by different types of the drive of the chassis of the machine: hydraulic, electrical and mechanical. Not only types of drives, but also whole systems in terms of an indicator – coefficient of performance (COP) are compared. The COP of the energy supply system takes into account the parameters of the irrigation process: the pressure of irrigation water at the entrance to the sprinkler machine (SM), the remoteness of the reservoir from the fixed support of the SM, the remoteness of the SM from the village. During the analysis, the dependencies of the COP of the hydraulic and electrical (powered from the cable line) systems on the parameters of the irrigation process were established. The conditions for ensuring the action of SM on a hydraulic drive are determined. It was found that the COP of the hydraulic system has a higher efficiency of up to 14.8% at a pressure created by the pump of more than 0.65 MPa with a distance of SM from the pumping station of not more than 4 km. In other conditions of irrigation, the efficiency of the electrical system is slightly higher – from 1.43% to 40.54%. For a reasonable choice of the energy supply system, other parameters should be taken into account, for example, the cost of the energy supply system, the lifespan of the SM, and others.
Influence of ozonation in seed storage on corn grain yield and its quality
Authors: Baskakov I V , Orobinsky V I , Gulevsky V A , Gievsky A M , Chernyshov A V
Published: May 2020

Ozonation makes it possible to disinfect the material and ensures rehabilitation of micro-damage, which increases the overall crop yield. The corresponding studies were carried out to confirm the theoretical prerequisites for the positive effects of ozonation of seed during storage. As a result, it was found that ozonation of corn seeds in grain storage silo increases their germination capacity: laboratory – by 4% and field – by 10%, relative to the control sample without any treatment. At the same time the weight of grain collected from plants which seeds were ozonized during storage exceeded the same indicator in the control sample by 13.4%, and the thousand-seed weight – by 12.8%. Ozonation of seed grain during storage allowed increasing the grain yield, equivalent to one sowing hectare at a seeding rate of 6 pcs/m – by 9.3 c/ha. Besides, the share of coarse fractions (with the diameter of more than 7 mm) in a grain heap obtained from plants grown from ozonized seeds exceeds the corresponding indicator in the control version by 7.3%.
Application of priority and delayqueuing system in non-stationary modes to determine the required number of repair personnel in rural distribution electric networks
Authors: Efanov A V , Os’kin S V , Yastrebov S S , Privalov E E , Bukreev A G
Published: May 2020

The paper considers the possibility of using a queuing system to determine the required number of repair and maintenance personnel in the event of mass failures in rural distribution electric networks. In this case, the separation of requirements for restoring failures (requests) into priority and secondary is used. The multi-channel queuing system is used with two priority levels, with the delay of both priority requests and secondary requests. The algorithm has been developed for composing a system of differential equations describing a given queuing system. The system of differential equations is solved by numerical methods, and, using a specially developed algorithm, based on the results of the solution for a given point in time, the required number of repair personnel is estimated based on such parameters as the probability of queuing and the average waiting time of requests in the queue. The developed algorithms have been implemented in software; the necessary number of repair personnel has been calculated with their use, as well as on the basis of statistical data on failures in rural distribution electric networks. Assessment of the intensity of the flow of priority and secondary requests has been carried out by two methods. In the first method the data from the dispatcher’s record book or acts of investigation of technological disturbances have been used. Failures were divided by such parameters as reliability categories of power supply for cut-off consumers, volume of cut-off load and social significance of cut-off objects. In the second method, those requests that could be fixed by the forces of the field service teams were priority, the remaining requests were considered secondary.
Modeling of the power of the drive of the spiral mixer
Authors: Konovalov Viktor V , Teryushkov V P , Chupshev A V , Konovalov Vladimir V , Mishanin A L
Published: May 2020

The goal of the paper is on the basis of the power analysis of revealing the expressions allowing to simulate by numerical methods the power of the drive of the mixer with a spiral stirrer. Expressions of effective forces are determined as a result of force analysis of spiral blade movement in the casing filled with material segment. The calculation model implemented in the Mathcad program allows to calculate the operating forces, torque and power consumption by numerical methods. The error of calculation, taking into account the correction factor that takes into account the material spillage when changing the spiral blade pitch, relative to the experimental power data does not exceed 5%.
Studying the influence of treating potato seed tubers with hot fog of protective-stimulating preparations
Authors: Kostenko M Yu , Goryachkina I N , Rembalovich G K , Drozhzhin K N , Beznosyuk R V
Published: May 2020

At the moment, a new technique is often used in the technology of potato production and that is pre-treatment of seed material, which is done with the help of chemical, biological and physical methods in complex. Stimulation of plants in the initial period of the growing season requires a special approach. On the one hand, plants need nutrients and, on the other hand, they do not have a developed root system for their production. Therefore, foliar treatment of plants with protective stimulating preparations is an alternative to fertilizer application. Potassium mobilizing bacteria are able to mobilize potassium present in the soil in the root zone of plants. Liquid fertilizers based on humic acids are natural immunomodulators and stimulators of the formation, growth and development of plants, as well as antidepressants and complex nutrition additive. They are suitable for organic farming. Potato seedes were treated with hot fog of protective stimulants at temperatures from 40° C to 60° C immediately before planting. As a result of the studies, the effects of protective-stimulating preparations on plant biometry during the growing season (accumulation of aerial mass) and yield were studied. Hot fog treatment of potato seed tubers with POTASSIUM HUMATE and AZOTOVIT preparations showed the best dynamics of increasing the height of shoots of potato bushes, which exceeded the control by 5.3% and 8.2%. Pre-treatment of potato seed tubers with hot fog of protective-stimulating preparations is an effective method of increasing productivity and it contributes to better products.
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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Design and Implementation of Retail Product Assortment System with Private Label Considerations and Weighted Apriori
Authors: Enlina Auliasa , Sembiring Jaka
Published: May 2020

Increasing product variety raise the needs for analytical model to determine an efficient and optimal assortment based on consumer preference considerations. However, most of retailers have not considered the private label factor that can generate profit differentiation while building store loyalty. Apriori algorithm, which is often used to find consumer shopping habit patterns in retail, still has many drawbacks that can increase the burden of input, output, and processing time. Thus, this study proposes a specific procedure to establishing basic product based on private label, improving association rules by reducing transaction through Size of Transaction (SoT) attribute, and adopting maximum weighted value concept in apriori algorithm, therefore the result of association rules will be reflecting user considerations. This research produces a model to recommend assortment by considering private label and user reference, and building a system to integrate the whole process. Based on evaluation result, this study was able to reduce number of scanning databases, number of candidate and frequent itemsets generated, as well as strengthen the store image (qualitative) and increase company profit (quantitative).
Usability Evaluation for User Interface Design of Student Support System: Mixed Method Study
Authors: Rasmus Ahmed AL-sa’di , Skammelsen Rasmus Bugge , Yufeng Xiang Qiang Ji , Aakarsh Bhogadi , Kuppusamy Sathishkumar
Published: May 2020

The efficiency of a website depends on how usable the UI user interface, (UI) is and how well it is structured. The aim of this research was to try and understand the issues with the Arion System. Arion is the student information system used by Auckland University of Technology. We conducted three experimental studies to examine the usability and to improve the user experience of student who use Arion. Three main methods were used namely; survey, open card sorting and situated co-inquiry. The survey was used to inform the study and collect more information about users. The open card sorting used to redesign the navigation menu for the system. Then the Situated co-inquiry used to discover the user’s current unexpected or unforeseen ideas, which may be helpful for future research.
Designing a Mobile Application Framework as an Innovative IT Solution for Waste Recycling
Authors: Ablaza-Cruz Ma. Melanie
Published: May 2020

In today’s modern society, we are facing the greatest environmental challenge, wastes management. With the growth of mobile application development, opportunities in enhancing the community’s waste recycling practices have become easier. The study focuses on designing a mobile application as an IT intervention in helping to re-shape individuals in waste recycling habits. The purpose of this paper is to support everyone in strengthening their waste recycling practices within the community. This study focusses on designing a mobile application by integrating the hybrid architectural framework. Also, the researcher used a codesign methodology to define the content features, system requirements and to identify the user of the system. This framework and design consideration are recommended for utilization and implementation to aid every member of the community in their waste management practices through innovative solutions. The result of the study could raise awareness of how emerging technology be a solution to climate change. It attests that there is a great opportunity in improving the recycling habits of every individual through IT innovation, which different stakeholders could take advantage of. Somehow, this study helps individuals to recognize the importance of mobile technology to contribute to the solution to global concerns associated with climate change.
Implementation of Convolutional Neural Networks to Recognize Images of Common Indonesian Food
Authors: Darma Udayana I Putu Agus Eka , Sudarma Made , Surya Cipta Nugraha Putu Gede
Published: May 2020

One of the applications of computer vision in the popular culture is food recognition which is popularized in the internet with a “hotdog and not hotdog” problem. Food recognition is also useful in many popular lifestyle apps such as calorie counter app or any diet related app. In this paper is proposed a CNN aided technique for recognizing food that is common in Indonesia. The technique is consist of 3 main phases, one is pre-processing normalize the data one is model formation and training which is known as the common binary classifier template, boosted with pooling and evaluated by cross-entropy technique in this paper the model used is the pre-trained model to test the testing data afterward, which is show a promising result with a relatively short training time. The experiments focused on how CNN can be used as a component to recognize food so that in the future it can be used to develop better calorie counter applications. In this experiment 10,000 data were used for training and 50 tests for each food category with a total of 500 food image data used for testing with the best accuracy reaching 88% for one of the categories.
On the Periodic Solution of an Oscillator Single Degree of Freedom with a Damping Coefficient that Changes Periodically
Authors: Waluya S. B.
Published: May 2020

In this paper will be studied a simple one degree of freedom system related to the dynamics of cable-stayed bridges. As a result of wind and rain that hits the bridge cable, it will cause vibrations from the cable to become unstable conditions. The presence of water flowing in the cable changes the cable cross-section as experienced by the wind plane. So, this is what causes the instability of cable vibrations. The idea to model this problem is to consider a horizontal cylinder supported by springs in such a way that only one degree of freedom, i.e. vertical vibration is possible. It will be studied a ridge on the surface of the cylinder parallel to the axis of the cylinder. Additionally, let the cylinder with ridge be able to oscillate, with small amplitude, around the axis such that the oscillations are excited by an external force. In this paper it will be studied the possibilities of the damping of the oscillator that changes periodically by using a perturbation method.
Liquefaction Resistance of Sand Mixed with Fines-Grained for Reclaimed Land
Authors: Yelvi  , Sudardja Handi , Elizabeth Shany
Published: May 2020

Liquefaction due to earthquakes can cause collapse, subsidences, landslides, lateral spreading, and sand boiling. The damage is commonly occurred at layer of water-saturayed granular sedimen with low relative density. Reclamation areas formed by loose sand are areas with high risk to liquefaction, such as damages occured in the reclamation area of Tokyo Bay Area (Fukushima Earthquake, 2011) and Wellington Port (New Zealand Earthquake, 2016). Some researches have stated that the gradation of soil grains, relative density and maximum acceleration of an earthquake affected the soil’s resistance to liquefaction. This paper presents the results of the experimental studies about the influence of fines-grained in the sand that has liquefaction potential which is used as a reclamation material to review its resistance to liquefaction. The experimental studies were carried out by adding fines-grained. A mixture of sand with fines-grains was made at a relative density of 25%, 50% and 75% under earthquake load with a maximum acceleration of 0.3g. Experimental results show that the increase in the fines content up to 30% and the relative density up to 75% reduces the resistance to liquefaction of the sand–fines mixture. The liquefaction resistance increases well as the increase of fines-grained and relative density.
Ethnoecology and ethnomedicine study to ensure maritime conservation in Bangsring Underwater (Bunder) Banyuwangi, Indonesia
Authors: Athiroh N , Pujiwati I , Hayati A
Published: May 2020

The purpose of this study was to assess ethnoecology and ethnomedicine as support for marine conservation in Bangsring Under Water (Bunder) Banyuwangi. This research used descriptive exploratory techniques. The samples were done using random sampling techniques. The results of ethnoecology studies are as follows: 63% of respondents knew the Bunder area as a conservation area of coral reefs; 61% of respondents stated that they have access to the socio-ecological Bunder, 79% of respondents knew how to use the fish in Bangsring village, 71% utilize fish in Bunder, 72% of respondents see the type of fish that is used by the community, 45% of respondents knew how to preserve local fish. The results of the ethnomedicine study showed that 83% of respondents knew about medicinal plants, 83% of respondents have used medicinal plants, 88% of respondents knew how to use medicinal plants, 72% of respondents never planted medicinal plants, 85% of respondents identified the plant parts used drugs, 9% respondents are interested in using medicinal plants, 81% of respondents need to cultivate medicinal plants. Bunder ecologically waters have a positive impact on people’s lives. People use these waters for tourism and livelihood as a fisherman, as a conservation area. In the Etnomedisin aspect, the community had an enthusiastic response to the medicinal plants. There are 25 species of medicinal plants used by the community as a medicine. The survival of medicinal plants in Bangsring Village is weel guaranteed due to the high interest of the community to keep the sustainability of medicinal plants.
Managing Internal Bullwhip Effect to Plan Product Distribution in a Garment Factory
Authors: Hidayat S , Fauzia SW , Nurhasanah N
Published: May 2020

XYZ is a family garment business established in 2004. XYZ produces and sells garments for 6-12 years old boys with brands like Forboys, Wellboy, Nashkid, Yepao, and Kid Dreams. The types of garments are oblong, setelan and wangky. XYZ has three garment Cut-make-trim (CMT) partners in Rangkas, Serang and Pandeglang. The three CMT partners has been giving XYZ neat and tidy garment products, ready to compete in Tanah Abang wholesale center. Based on the demand forecast calculation XYZ sends its order for production to the CMTs. In return, based on the quantity ordered, the CMTs order the raw materials from XYZ. This study attempts to measure the “internal” bullwhip effect which is observed as the fluctuations of orders sent by the CMTs to XYZ, based on the production orders from XYZ to the CMTs. XYZ experienced high inventories and its mounting costs due to this internal bullwhip effect. Further, the method used in this study investigate the appropriate forecasting method. The best forecasting method is the Double Exponential Smoothing, which also results in the reduction in the bullwhip effect ratio, and improvement of scrap factor (around 10.60%). The reduction of BE ratio is quite significant from 0.344, 0.242 and 0.717 for oblong, setelan and wangky product types respectively.
Life Cycle Cost Analysis in Construction of Green Building Concept, A Case Study
Authors: Kamaralo MK , Alhilman J , Atmaji FTD
Published: May 2020

Based on data from the Green Building Council of Indonesia, more than one-third of CO2 gas emissions worldwide are generated by buildings, it has an impact on the environment such as global warming, ozone layer depletion, and accumulation of waste. The concept of Green Building is considered very necessary to overcome global warming and improve energy and resource efficiency. In the process of building a building that is Green Building requires a relatively high cost when compared to conventional buildings. Therefore, the Life Cycle Cost (LCC) method is used to determine the total cost needed, the optimal cost of the building, the economic age of the building, the number of crew maintenance and the level of energy efficiency. The analysis using the Life Cycle Cost method requires several related costs such as Initial Costs, Maintenance Costs, Energy Costs, Replacement Costs, and Utility Costs. The analysis was conducted using the Present Worth method within a period of 8 years from the start of building construction. Based on data processing using the Life Cycle Cost method, the optimal cost of a green building concept building is IDR 232, 296, 615, 337 with the economic life of the building being 8 years, the optimal number of maintenance crews is 1 person and the level of energy consumption intensity is very efficient.
Raw Materials Inventory Planning in Automotive Industries by EOQ Method Consider with the Contract Agreement
Authors: Sri Ngadono Teguh , Fitri Ikatrinasari Zulfa
Published: May 2020

One of industrial sector that currently continuous growing up is automotive industry. Safety glass is a kind of automotive component that always has improvement and development. To support production running well, raw materials supply inventory has to be considered and managed as well. Poly Vinyl Butyral (PVB) as raw material is purchased from 2 suppliers and both of them have a contract agreement. Inventory shall be set up to fulfill the demand and follow the contract. By use Economic Order Quantity (EOQ) Method, inventory is calculated to minimize the cost. So the research objective is to determine inventory system of PVB and inventory cost by optimum. Then researcher got the result is EOQ Method can reduce the inventory cost around 52% than last period by keep consideration with the contact agreement.
Three-Level Supply Chain considering Direct and Indirect Transportation Cost and Carbon Emissions
Authors: Ong A K S , Robielos R A C , Jou Y. T. , Wee H M
Published: May 2020

Managing sustainable supply chains has become a challenge for most industries primarily because environmental, social, and economic aspects must be taken into account, and the difficulty in satisfying customer demands for sustainability and environmental protection has been increasing globally, making sustainability the focus of numerous studies on green supply chains. Previous studies are usually only applicable to a specific product supply chain. Therefore, this paper review model that focuses on a general three-level supply chain considering direct and indirect transport and industrial carbon emissions and costs. Specifically, the model involves joint economic lot sizing considering a single set-up-multiple-delivery (SSMD) policy.