bluuebunny/crossref_metadata_2025_split huggingface dataset:
Two-Phase Fuzzy System for Multiple Hydro-Meteorological Spatial Risk Mapping in Surabaya, Indonesia
Authors: Prasetyaningrum I , Fariza A , Falah N D 
Published: February 2021

Abstract
Disaster in Indonesia is caused by hydro-meteorological factors dominate disasters in Indonesia every year. Surabaya is the capital of East Java, which has population growth problems and a high incidence of hydro-meteorological disasters. Surabaya has a high vulnerability to floods, drought, and strong winds. The mapping of the risk of hydrometeorological hazards in cities with rapidly growing populations is used as a guide for preventive measures. The map can provide information on disaster risk which consists of 3 aspects, they are a hazard, vulnerability, and capacity. A multi-disaster map is needed because it provides a complete picture of the potential and history of disasters in an area. The hydro-meteorological multi-disaster map can be used by policymakers to weigh benefits or risks and to resolve contingent disasters. In this study, we proposed a multiple hydro-meteorological spatial risk mapping in Surabaya city using a two-phase Fuzzy system. The first phase assesses the risk of each flood, drought, and wind disaster in each sub-district based on multi-criteria, such as hazard, vulnerability, and capacity. The second phase calculates the risk assessment of the three disasters and divides it into three levels of risk, consist of the low, medium, and high for each sub-district. In 2014 and 2015, there are 16.1% of low risk, 77.4% of medium risk, and 6.5% high risk sub-districts for multiple hydro-meteorological risk assessments. The results of the analysis show that there are three districts in the city of Surabaya that are at high risk of hydro-meteorological disasters, consisting of Tambaksari, Wonokromo, and Sawahan.
Production of Briquettes to Utilize Woody Cutting Waste at Universitas Internasional Semen Indonesia (UISI)
Authors: Arifianti Q A M O , Rahmat A , Anggarini U , Nugrahani E F , Ummatin K K 
Published: February 2021

Abstract
Universitas Internasional Semen Indonesia (UISI) disposes abundant amount of woody waste, such as leaves, twigs, and brunches from the pruning of woody plants. The aim of this research is to convert of this waste into combustible biomass briquettes by varying the particle size and binder ratio. A hydraulic press with 2 tons power and a cylindrical iron mold with diameter of 3.5 cm and height of 3 cm were used for the briquetting process. The physical characteristics of woody waste briquette, such as moisture content, ash content, volatile matter and carbon fix were evaluated using proximate analysis. The caloric value of briquetted fuel was measured by bomb calorimeter. The combustion test was conducted to determine the combustion characteristic of briquettes. The general result shows that the caloric value of developed briquettes was between 3402 and 3630 kcal/kg. The moisture content of briquette ranged from 1.080-1.16 %. Volatile matter was found in the range of 22.2 to 39.4 %. Ash content was 31.2-35.9 %, and carbon fix was 23.54-45.52%. The shortest ignition time was 229 s. The longest burning time was 78 minutes. Based on TG/DTA results, woody waste briquette decomposition occurred from 49°C to 801°C.
Malaria Detection Using Local Composition Pattern
Authors: Ovi J A , Haque M E , Kalam A , Jarin S A , Ali M S , Hasan M 
Published: February 2021

Abstract
Malaria is a major global health problem. Every year thousands of people have been died because of this harmful disease. It is a life-threatening disease that is triggered by the “night-biting” mosquitoes known as the Anopheles mosquitoes. They normally bite at day time. In this paper, to detect malaria parasite in the bloodstream, an image processing algorithm has been developed. Our proposed approach can classify malaria-infected images from patient’s blood samples by extracting red blood cells (RBCs) from the images. Malaria detection using Local Composite Pattern (LBP) outperforms in comparison with the existing traditional approaches.
Prediction Modelling of COVID-19 Outbreak in Indonesia using a Logistic Regression Model
Authors: Wibowo F W , Wihayati  
Published: February 2021

Abstract
The COVID-19 outbreak has changed the world at large since it was announced by the World Health Organization (WHO). Many policies in various countries were then implemented to control its spread. Most aspects of human life and the environment are affected by this pandemic. This paper aims to determine the prediction model for the COVID-19 outbreak in Indonesia. The approach used for this modelling employs a logistic regression model. The data modeled in this paper is data on the distribution of COVID-19 sufferers and data on patients who have recovered from COVID-19 in Indonesia. The data obtained as research material were taken from March 2, 2020, to November 12, 2020. From the results of this paper, this prediction model obtained logistic regression coefficient values for data on COVID-19 sufferers in Indonesia of 8.114748 and 0.750743, while the coefficient values for data on sufferers who recovered from COVID-19 were 9.360925 and 0.788334. The results of the prediction model for sufferers and people who have recovered from COVID-19 have the same accuracy value, namely mean absolute error (MAE) of 0.02, mean square error (MSE) of 0.00, and R2 of 0.99.
Dynamic modeling and simulation of the rooftop PV system for the First Passive House in Newfoundland
Authors: Manzoor S , Iqbal M T 
Published: February 2021

Abstract
This paper presents the design and modelling of a photovoltaic (PV) system for the first house in Newfoundland built under the guidelines of the Passive House Institute United States (PHIUS+2015). The proposed PV system is optimized with the use of HomerPro software to get 9.75kW of PV panels with a battery storage system. Detailed modelling of the system is finally completed in MATLAB/Simulink with the implementation of a charge controller, MPPT controller, and 8kW of single-phase DC to AC converter. The simulation results show the stability of the system and the advantage of the Grid-connected PV system with a battery backup. System design, detailed modelling and some simulation results are included in the paper. Finally, the cost of the designed system has been compared with the electricity bills considering saving and using Homer optimized results; the feasibility of the proposed system is presented.
Methodology to evaluate the effectiveness of opening a local route as a solution to Bottleneck congestion
Authors: Gutierrez V , Gutarra A , Bravo A 
Published: February 2021

Abstract
The phenomenon of vehicle congestion “Bottleneck”, is a problem that exists in every city focus of trade. The continued increase in vehicle demand is an immediate factor in the emergence of this phenomenon, especially in connections between states. This phenomenon of vehicle congestion may be due to inefficient track design, poorly programmed traffic lights, tight bends and vehicle accidents. The most effective solution for placating this phenomenon is the opening of new parallel collecting or local routes, in order to redistribute the vehicular flow of a pathway affected by the Bottleneck phenomenon. In this research, it was taken as a case of studying an intersection formed by an arterial pathway and a collecting pathway. This crossing is already saturated and without the possibility of increasing lanes, so it was feasible to open a parallel local track through a geometric redesign modelled in Synchro 10.0 software, with the purpose of redistributing the vehicle flow of the congested manifold, without impairing the quality of the transfer of nearby users and intersections. Critical ratio results “v / c” lower than 0.85 were obtained, which is synonymous with admissible capacities according to the criteria of states of the HCM 2010.
The Influence of User Generation Differences on Individual Performance in Using Information Technology
Authors: Widagdo P P , Susanto T D , Setyadi H J , Wardhana R , Taruk M , Pakpahan H S 
Published: February 2021

Abstract
The effect of different user generation in an organization is one of the factors that cause the decline of information technology user, this is due to the aging and characteristic difference factors of each user generations, so they impact individual performance in using information technology. Organization have user generation with very diverse age range, then the user information technology must have compatibility, flexibility, and ease in assisting completing tasks. This research is quantitative with analytical methods using Partial Least Square Structural Equation Modeling (PLS-SEM) at Mulawarman University in the generation. This study aims to identify and prove the influence of each generation of different users (Generation Y, Generation X, and Generation of Baby Boomers) on the performance of individuals in using information technology. Generation Y it was proven to be superior because the task characteristics had a significantly stronger influence than generation X and the generation baby boomers which was at the 0.05 level of significance. This study is useful for organizations in identifying the influencing factors from the real problems faced by user generation and assisting strategic decision making in order to improve information technology performance.
The economic and environmental costs and benefits of the renewable fuel standard
Authors: Chen Luoye , Debnath Deepayan , Zhong Jia , Ferin Kelsie , VanLoocke Andy , Khanna Madhu 
Published: February 2021

Abstract
Mandates, like the renewable fuel standard (RFS), for biofuels from corn and cellulosic feedstocks, impact the environment in multiple ways by affecting land use, nitrogen (N)-leakage, and greenhouse gas (GHG) emissions. We analyze the differing trade-offs these different types of biofuels offer among these multi-dimensional environmental effects and convert them to a monetized value of environmental damages (or benefits) that can be compared with the economic costs of extending these mandates over the 2016–2030 period. The discounted values of cumulative net benefits (or costs) are then compared to those with a counterfactual level of biofuels that would have been produced in the absence of the RFS over this period. We find that maintaining the corn ethanol mandate at 56 billion l till 2030 will lead to a discounted cumulative value of an economic cost of $199 billion over the 2016–2030 period compared to the counterfactual scenario; this includes $109 billion of economic costs and $85 billion of net monetized environmental damages. The additional implementation of a cellulosic biofuel mandate for 60 billion l by 2030 will increase this economic cost by $69 billion which will be partly offset by the net discounted monetized value of environmental benefits of $20 billion, resulting in a net cost of $49 billion over the 2016–2030 period. We explore the sensitivity of these net (economic and environmental) costs to alternative values of the social costs of carbon and nitrogen and other technological and market parameters. We find that, unlike corn ethanol, cellulosic biofuels can result in positive net benefits if the monetary benefits of GHG mitigation are valued high and those of N-damages are not very high.
Is the efficacy of satellite-based inversion of SO2 emission model dependent?
Authors: Li Nan , Tang Keqin , Wang Yi , Wang Jun , Feng Weihang , Zhang Haoran , Liao Hong , Hu Jianlin , Long Xin , Shi Chong , Su Xiaoli 
Published: February 2021

Abstract
Satellite-based inverse modeling has the potential to drive aerosol precursor emissions, but its efficacy for improving chemistry transport models (CTMs) remains elusive because of its likely inherent dependence on the error characteristics of a specific CTM used for the inversion. This issue is quantitively assessed here by using three CTMs. We show that SO2 emissions from global GEOS-Chem adjoint model and OMI SO2 data, when combined with spatial variation of bottom-up emissions, can largely improve WRF-Chem and WRF-CMAQ forecast of SO2 and aerosol optical depth (in reference to moderate resolution imaging spectroradiometer data) in China. This suggests that the efficacy of satellite-based inversion of SO2 emission appears to be high for CTMs that use similar or identical emission inventories. With the advent of geostationary air quality monitoring satellites in next 3 years, this study argues that an era of using top-down approach to rapidly update emission is emerging for regional air quality forecast, especially over Asia having highly varying emissions.
Estimating PM2.5-related premature mortality and morbidity associated with future wildfire emissions in the western US
Authors: Neumann James E , Amend Meredith , Anenberg Susan , Kinney Patrick L , Sarofim Marcus , Martinich Jeremy , Lukens Julia , Xu Jun-Wei , Roman Henry 
Published: February 2021

Abstract
Wildfire activity in the western United States (US) has been increasing, a trend that has been correlated with changing patterns of temperature and precipitation associated with climate change. Health effects associated with exposure to wildfire smoke and fine particulate matter (PM2.5) include short- and long-term premature mortality, hospital admissions, emergency department visits, and other respiratory and cardiovascular incidents. We estimate PM2.5 exposure and health impacts for the entire continental US from current and future western US wildfire activity projected for a range of future climate scenarios through the 21st century. We use a simulation approach to estimate wildfire activity, area burned, fine particulate emissions, air quality concentrations, health effects, and economic valuation of health effects, using established and novel methodologies. We find that climatic factors increase wildfire pollutant emissions by an average of 0.40% per year over the 2006–2100 period under Representative Concentration Pathway (RCP) 4.5 (lower emissions scenarios) and 0.71% per year for RCP8.5. As a consequence, spatially weighted wildfire PM2.5 concentrations more than double for some climate model projections by the end of the 21st century. PM2.5 exposure changes, combined with population projections, result in a wildfire PM2.5-related premature mortality excess burden in the 2090 RCP8.5 scenario that is roughly 3.5 times larger than in the baseline period. The combined effect of increased wildfire activity, population growth, and increase in the valuation of avoided risk of premature mortality over time results in a large increase in total economic impact of wildfire-related PM2.5 mortality and morbidity in the continental US, from roughly $7 billion per year in the baseline period to roughly $36 billion per year in 2090 for RCP4.5, and $43 billion per year in RCP8.5. The climate effect alone accounts for a roughly 60% increase in wildfire PM2.5-related premature mortality in the RCP8.5 scenario, relative to baseline conditions.
What conditions favor the influence of seasonally frozen ground on hydrological partitioning? A systematic review
Authors: Ala-Aho P , Autio A , Bhattacharjee J , Isokangas E , Kujala K , Marttila H , Menberu M , Meriö L-J , Postila H , Rauhala A , Ronkanen A-K , Rossi P M , Saari M , Haghighi A Torabi , Kløve B 
Published: February 2021

AbstractThe influence of seasonally frozen ground (SFG) on water, energy, and solute fluxes is important in cold climate regions. The hydrological role of permafrost is now being actively researched, but the influence of SFG has received less attention. Intuitively, SFG restricts (snowmelt) infiltration, thereby enhancing surface runoff and decreasing soil water replenishment and groundwater recharge. However, the reported hydrological effects of SFG remain contradictory and appear to be highly site- and event-specific. There is a clear knowledge gap concerning under what physiographical and climate conditions SFG is more likely to influence hydrological fluxes. We addressed this knowledge gap by systematically reviewing published work examining the role of SFG in hydrological partitioning. We collected data on environmental variables influencing the SFG regime across different climates, land covers, and measurement scales, along with the main conclusion about the SFG influence on the studied hydrological flux. The compiled dataset allowed us to draw conclusions that extended beyond individual site investigations. Our key findings were: (a) an obvious hydrological influence of SFG at small-scale, but a more variable hydrological response with increasing scale of measurement, and (b) indication that cold climate with deep snow and forest land cover may be related to reduced importance of SFG in hydrological partitioning. It is thus increasingly important to understand the hydrological repercussions of SFG in a warming climate, where permafrost is transitioning to seasonally frozen conditions.
A new approach for designing decision support system used in the potato late blight and early blight management practice
Authors: Borovskiy K V , Kuznetsova M A , Rogozhin A N , Statsyuk N V 
Published: February 2021

Abstract
Potato is one of the most important food products in Russia. The total annual production of potato in Russia is ∼35–40 mln. tons; this production volume is surpassed only by China and India. Nevertheless, domestic agricultural industry still can’t completely meet the national consumption of potato, so every year Russia imports up to 1.5 mln. tons of potatoes. One of the reasons of such situation is that potato is very difficult crop for cultivation, since it is susceptible to a number of abiotic and biotic factors able to cause significant reduction of the yield quantity and quality. This paper is dedicated to a new approach in plant protection and demonstrates how information technologies can help us to increase the efficiency of the disease management and to reduce the negative influence of fungicides on the human health and environment.
The conservation of biodiversity of mountain plant communities
Authors: Kozirev S G , Bekuzarova S A , Glinushkin A P , Podkovyrov I Yu 
Published: February 2021

Abstract
The biodiversity of mountain vegetation is of high value not only for the animal and plant world, but also as a factor in preserving the biosphere. In order to preserve biodiversity, the preserved biological objects were monitored, valuable forage grasses were sown, and after spring regrowth, the biological product NIKFAN was introduced in a concentration of 0.1% aqueous solution. The results of the experiments showed a more intensive growth of plants, an increase in both feed and seed productivity. Leguminous grasses were sown in degraded areas with preliminary introduction of clay deposits of rocks. The results obtained are indicators of positive results for biodiversity conservation and reintroduction of mountain plant communities
Heat Transfer Characteristics of Latent Heat Thermal Energy Storage for Floating Concentrate Solar Power Systems
Authors: Shibahara M , Hinoki T 
Published: February 2021

Abstract
The heat transfer characteristics of the latent heat thermal energy storage (LHTES) for floating concentrated solar power (CSP) systems were investigated experimentally and numerically. The understanding of natural convection heat transfer between the heat transfer fluid (HTF) and a tube bundle in the heat exchanger is important for the thermal design of the LHTES. As a primitive study, the analytical model of natural convection heat transfer was developed between the HTF and the tube bundle in the heat exchanger of LHTES. In this study, D-mannitol was used as the HTF for the LHTES. To simplify the tube bundle of the heat exchanger, a heated cylinder was installed in the liquid D-mannitol. In the experiment, the average temperature of the cylinder and the heat flux were measured, and the heat transfer coefficient under the natural convection was obtained. Meanwhile, the numerical analysis of natural convection heat transfer was conducted using the commercial computational fluid dynamics (CFD), PHOENICS. The temperature and velocity profiles around the heated cylinder were obtained in the numerical simulation. The heat transfer coefficient was compared with the author’s experimental data. The numerical result was in good agreement with the measured heat transfer coefficient.
Treatment possibilities of electrical discharge non-thermal plasma for industrial wastewater treatment-review
Authors: Suresh Ramya , Rajoo Baskar , Chenniappan Maheswari , Palanichamy Manikandan 
Published: February 2021

Abstract
The effluent remedy is ordinarily to allow human and commercial effluents to be disposed of whilst now no threat to human health or unacceptable damage to the natural ecosystem. Industrial effluents (in general from factories) comprise numerous substances, counting on the change. Industries have long discharged their effluents into close move courses, public sewers, and fields or the ocean, leading to environmental and fitness problems. Plasma is an innovative method to modify the properties of surface of material with atmospheric pressure. When electrical discharge takes place between the two electrodes the high intensity of plasma arc formed which produces highly active reactive radicals. Here, this paper represents the review of non-thermal plasma and its application, techniques and up to date undergoing development on the utilization of non-thermal plasma in numerous industrial wastewater treatment.
Automatic Barrier Control in the Zebra crossing of Roads for Pedestrian Safety
Authors: Suji Prasad S J , Yugananth P , Kumaravelan R , Suresh Kumar R , Aravindan V , Harish VA , Janani S , Kausika S D 
Published: February 2021

Abstract
In the urban areas, the heavy road traffic makes the road crossing unsafe to the pedestrians. This paper aims to avoid accidents happening in the pedestrian crossing of traffic signals. The pedestrian collisions occur due to the unethical behaviour of the drivers skipping the signals. The proposed paper prevents these accidents by introducing automatic barriers for the zebra crossing. These barricades automatically lift during the pedestrian crossing and lay down during vehicle traffic. The defaulters of traffic signals are also monitored through the camera.
Source localization for underwater acoustics using esprit algorithm
Authors: Kasthuri N. , Balambigai S. , Yuvashree S. 
Published: February 2021

Abstract
In order to perform the underwater source localization, vector sensors play a major role. If vector sensors are used as an array, the gain can be improved and the accuracy can also be improved. In furtherance of finding the direction of arrival (DOA) of the sound signal which is nothing but the source localization, there are several algorithms like MVM, MUSIC, etc., are used. These algorithms have some computational complexity and also the resolution performance is not good. In encouragement of accomplishing superior determination and to decrease the computational complexity, the Estimation of Signal Parameters through Rotational Invariance Transform (ESPRIT) algorithm is utilized in this paper. This paper gives the details about ESPRIT algorithm and the azimuth angle obtained from the experimental data.