bluuebunny/crossref_metadata_2025 huggingface dataset:
Elimination of the biogenic pollution effects on aquatic environments
Authors: Sherbakov Vladimir , Chizhik Konstantin , Shchukina Tatyana , Milyaeva Anastasiya
Published: July 2020

Intensive water consumption from surface sources leads to debit imbalance and high level of pollution, especially for wastewater discharges, including urban wastewater treatment facilities. Dissolved harmful and organic substances enter a large number of water bodies, which leads to harsh conditions for the survival of the rivers flora and fauna. A demonstrative indicator of environmental troubles is the intensive development of blue-green algae, which are a nutrient medium for cyanobacteria. Their productivity can be limited by hydromechanical capture. It is proposed to use a small-sized mobile vessel with a filter unit using replaceable cartridges and a pump. As a filter material, it is recommended to use crushed reeds. This technical solution allows the environmentally safe disposal of biomass, saturated with phytoplankton and heavy metal ions that are effectively absorbed. An equation of the distribution of concentrations of blue-green algae over the distance measured from the water surface is provided. The calculated data obtained from the proposed dependence allow us to determine the required level of immersion of the suction probes. The optimal time period in days for the operation of filtering units during summer season was revealed.
Development of thermal bridge numerical model, based on conjugate heat transfer and indoor and outdoor environment parameters
Authors: Ivanov Martin , Mijorski Sergey
Published: July 2020

The presented study reveals the development of a 3D numerical model for thermal bridge assessment, based on conjugate heat transfer and CFD methods. With the developed model, thermal simulations are performed, in order to analyse the interaction between different ambient conditions and material properties. The results show that the wall boundary layer profiles are depended on the attached air flow velocity magnitude and implemented wall roughness. The parametric analysis, of the varying ambient air temperatures, confirm the linear dependence to the internal wall surface temperatures. The demonstrated correlations, in regard of the attached air flow velocity magnitude and wall roughness heights, are non-linear. The most characteristic result, achieved in the simulation study, is the impact of the wall roughness, over the internal wall temperature. The increase of the roughness leads to significant increase of the internal wall temperature. Explanation may be found in the boundary layer flow velocity magnitude near the external wall, which decreases the heat energy transfer between the solid and cold fluid medias.
Study of Sequencing Batch Reactor operation with an inflow of wastewater with low concentration of organic contaminations
Authors: Gogina Elena
Published: July 2020

The paper is devoted to the study of small wastewatertreatment plants, in particular the study of wastewater treatment processes with the wastewater with low concentration of organic contaminations entering treatment plants. The primary goal of the study is to select the reactor operation mode to ensure the deep biological treatment quality of treated wastewater. The three-step experiment has been conducted in a licensed laboratory using high quality equipment. The results of the experiment and the analysis of the data obtained are presented.
Sizing methodology for photovoltaic systems considering coupling of solar energy potential and the electric load: dynamic simulation and financial assessment
Authors: Milón Guzmán Juan José , Leal Braga Sergio , Zúñiga Torres Juan Carlos , Carpio Beltrán Herbert Jesús Del
Published: July 2020

A reliable methodology for the dimensioning of photovoltaic systems is presented in this paper. This method generates technical-financial variables that aid in the choice of the most adequate photovoltaic power system for each project. The techniques that are usually used determine the size of PV power plants considering the monthly average of the solar energy potential of the month with the lowest solar radiation and the electricity to be supplied to satisfy the demand. These conventional techniques generate an uncertainty of at least 40 %, mainly due to the daily dispersion of the solar energy availability and of the electric load. The proposed methodology takes into account a region’s own photovoltaic energy potential and the detailed characteristics of the electric load, matching both with different PV power plants sizes, and analyzing the whole during a time period that guarantees the reliability of the results. The energy coupling is performed integrating the energy parameters (solar energy and electric load) in short time intervals (30 minutes maximum) to determine the supplied energy, the unsupplied energy demand and the unused solar energy. The daily integration of the three factors, using a dynamic simulation and performing a financial evaluation, allows for the identification of the most appropriate PV power plant size for every project. The results indicate that this methodology reduces the uncertainty of the solar power-electric load coupling from 40 % to 2.2 %, which allows a better definition of the financial variables that determine the most appropriate installed solar power for a photovoltaic project.
Capacity factors of solar photovoltaic energy facilities in California, annual mean and variability
Authors: Boretti Alberto , Castelletto Stefania , Al-Kouz Wael , Nayfeh Jamal
Published: July 2020

The capacity factors of the largest solar photovoltaic (PV) energy facilities of California are computed, based on a low-frequency monthly statistic that is covering the last few years. While the best-performing facilities achieve annual capacity factors of about 32-33%, the average annual capacity factor is less than 30%, at about 26-27%. The scattered information on costs suggests a cost penalty of 35% for a capacity factor gain of 10%. Higher frequency data of 1-minute or less for every facility connected to the same grid and the grid average energy supply are needed to define the energy storage indispensable to cover a given demand. The individual facility energy production requires to account for a cost associated with an energy storage allowance to every producer of intermittent and unpredictable electricity, with this amount inversely proportional to the annual average capacity factor and directly proportional to the standard deviation of the high-frequency capacity factors.
CO2emission reduction and energy management for an integrated smart grid — Case of study: Rwandan electrical network
Authors: Mukundufite Fabien , Bikorimana Jean Marie Vianney , Ntagwirumugara Etienne , Kyaruzi Alex
Published: July 2020

Many scholars have been focusing on the energy management by Integrating a smart grid into a conventional electrical grid. They have showed that to meet a certain power demand of the consumers, using energy management, the electric utility can turn on some generators, which may have the least operation cost, while the generators with high operation cost are left to supply extra load demand in specific peak periods. Henceforth, the operation cost of its generation units is minimized. The issue remains at a level of relating the energy management to CO2 emission. The present paper briefly discusses the Rwandan electrical network that still integrates the use of diesel generators. It estimates the amount of CO2 emission that can be avoided once a PV system is integrated into the electrical network. The paper as well proposes an algorithm for energy management with consideration of CO2 emission.
Particle Image Velocimetry (PIV) measurements in a water film, application to a tire rolling through a puddle
Authors: Cabut Damien , Michard Marc , Simoens Serge , Todoroff Violaine , Lemaître Jean , Hermange Correntin , Le Chenadec Yohan
Published: July 2020

A measurement method based on Particle Image Velocimetry (PIV) with refraction of the laser sheet at a window/water interface is proposed for the measurement of the velocity field of a flow, inside a water puddle, due to a tire rolling on. This study focuses on the feasibility and repeatability of this optical measurement method. The characterization of the optical properties of this measurement technique defines its accuracy. The analysis of the overall features of the flow is focused on two main flow zones in front of and around the tire. The flow inside the first zone is characterized by a global velocity of the water displaced in an area located in front of the tire. In the second zone a velocity representative of the flow in the vicinity of the tire shoulder is also defined. Correlations of both characteristic velocities with the car speed and water film height are established. New and the corresponding worn tires were tested in this work.
Multiobjective aerodynamic shape optimization of NACA0012 airfoil based mesh morphing
Authors: El Maani Rabii , Elouardi Soufiane , Radi Bouchaib , El Hami Abdelkhalak
Published: July 2020

The actual use of computational fluid dynamics (CFD) by aerospace companies is the trade-off result between the perceived costs and benefits. Computational costs are restricted to swamp the design process even if the benefits are widely recognized. The need for fast turnaround, counting the setup time, is also crucial. CFD integrates mathematical relations and algorithms to analyze and solve fluid flow problems. CFD analysis of an airfoil produces results such as the lift and drag forces that determine the performance of an airfoil. Thus, optimizing these aerodynamic performances has proved extremely valuable in practice. The aim of this paper is to model a transonic, compressible and turbulent flow over a NACA 0012 airfoil, using a density based implicit solver, for which a comparison and a validation will be made throught the published experimental data. The numerical results show that the predicted aerodynamic coefficients are in a satisfying agreement with experimental data. Then an aerodynamic shape optimization algorithm, based on a multiobjective algorithm that is an extension of the Backtracking Search Algorithm which was initially developed for single-objective optimization problems only, was used in order to obtain an improved performance control of the aerodynamic coefficients of the optimized airfoil.
Guidelines and Good Clinical Practice Recommendations for Contrast Enhanced Ultrasound (CEUS) in the Liver – Update 2020 – WFUMB in Cooperation with EFSUMB, AFSUMB, AIUM, and FLAUS
Authors: Dietrich Christoph F. , Nolsøe Christian Pállson , Barr Richard G. , Berzigotti Annalisa , Burns Peter N , Cantisani Vito , Chammas Maria Cristina , Chaubal Nitin , Choi Byung Ihn , Clevert Dirk-André , Cui Xinwu , Dong Yi , D’Onofrio Mirko , Fowlkes J. Brian , Gilja Odd Helge , Huang Pintong , Ignee Andre , Jenssen Christian , Kono Yuko , Kudo Masatoshi , Lassau Nathalie , Lee Won Jae , Lee Jae Young , Liang Ping , Lim Adrian , Lyshchik Andrej , Meloni Maria Franca , Correas Jean Michel , Minami Yasunori , Moriyasu Fuminori , Nicolau Carlos , Piscaglia Fabio , Saftoiu Adrian , Sidhu Paul S. , Sporea Ioan , Torzilli Guido , Xie Xiaoyan , Zheng Rongqin
Published: July 2020

The present, updated document describes the fourth iteration of recommendations for the hepatic use of contrast enhanced ultrasound (CEUS), first initiated in 2004 by the European Federation of Societies for Ultrasound in Medicine and Biology (EFSUMB). The previous updated editions of the guidelines reflected changes in the available contrast agents and updated the guidelines not only for hepatic but also for non-hepatic applications.

The 2012 guideline requires updating as previously the differences of the contrast agents were not precisely described and the differences in contrast phases as well as handling were not clearly indicated. In addition, more evidence has been published for all contrast agents. The update also reflects the most recent developments in contrast agents, including the United States Food and Drug Administration (FDA) approval as well as the extensive Asian experience, to produce a truly international perspective.

These guidelines and recommendations provide general advice on the use of ultrasound contrast agents (UCA) and are intended to create standard protocols for the use and administration of UCA in liver applications on an international basis to improve the management of patients.
Resistance Exercise Modulates Kynurenine Pathway in Pancreatic Cancer
Patients
Authors: Pal Anasua , Zimmer Philipp , Clauss Dorothea , Schmidt Martina E. , Ulrich Cornelia M. , Wiskemann Joachim , Steindorf Karen
Published: July 2020

The aim of this study was to investigate the impact of Supervised and Home-based
resistance exercise on the Kynurenine pathway in patients with pancreatic cancer
who underwent surgery and chemotherapy. In the SUPPORT study, adult pancreatic
cancer patients were randomized to intervention programs of 6-month (1) a
Supervised moderate-to-high-intensity progressive resistance training or (2)
unsupervised Home-based resistance training, or (3) to a standard care patient
Control group. Serum levels of kynurenine, tryptophan and IL-6 were assessed for
32 participants before, after 3 months and after 6 months of exercise
intervention. Group differences were investigated using analysis-of-covariance.
Patients in the Supervised training group showed decreased levels of serum
kynurenine and kynurenine/tryptophan ratio (p = 0.07; p
= 0.01 respectively) as well as increased Tryptophan levels (p =
0.05) in comparison to Home-based and Control group over time. The Home-based
exercise group had significant increased kynurenine and
kynurenine/tryptophan ratio levels. IL-6 levels decreased over the first
three months for both intervention groups as well as the Control group
(Supervised: p < 0.01, Home-based: p < 0.010, Control group: p
< 0.01). Supervised resistance exercise might positively regulate the
Kynurenine pathway and downregulate the kynurenine/tryptophan
(indicative of IDO/TDO enzyme) levels, hence modulating the immune
system.
Finite elements computational modeling of coupled elastic waveguides
Authors: Calderin Lazaro , Hasan M. Arif , Runge Keith , Deymier Pierre A.
Published: July 2020

The theoretical study of one-dimensional-infinite systems of elastically coupled parallel waveguides has established the existence of band structures with pseudo-spin characteristics. Those systems, which are named ϕ-bits, have been shown to exhibit a spinor character associated with directional degrees of freedom, which makes them potential quantum mechanical analogs. The realization of such systems is challenged by the three-dimensional and finite nature of physical elastic waveguides. We address this problem, and with it the design of ϕ-bits in general, by developing finite elements models based on COMSOL Multiphysics®. We model systems of one or more coupled finite length Al rods. The analysis of their dispersion relations, transmission spectra, and amplitudes establishes their ϕ-bit character. For three coupled finite length Al rods, the elastic field is associated with wavefunctions, tensor products of a spinor part related to the directional degrees of freedom, and an orbital angular momentum part representing the phase of the coupled waveguides. We demonstrate the possibility of creating non-separable states between these degrees of freedom.
Flexible computing device made of a ferroelectric polymer mimics neuron behavior
Authors: Mandel Savannah
Published: July 2020

Researchers design a flexible logical computing device that processes electric polarization signals in neuron assembly and shows promise for applications in wearable electronics.
Simulating random alloy effects in III-nitride light emitting diodes
Authors: Di Vito A. , Pecchia A. , Di Carlo A. , Auf der Maur M.
Published: July 2020

Statistical fluctuations in the alloy composition on the atomic scale can have important effects on electronic and optical properties of bulk materials and devices. In particular, carrier localization induced by alloy disorder has been a much discussed topic during the last decade with regard to III-nitride light emitting diodes (LEDs). Much experimental and theoretical work has been dedicated to the study of the effects of alloy disorder on carrier localization and finally on the efficiency and transport properties in such devices. Modeling approaches range from empirical analytical models down to atomistic ab initio ones, each with its advantages and disadvantages. In this tutorial, we discuss the simulation of alloy fluctuations in nitride quantum well LEDs by combining continuum device models and an atomistic empirical tight binding model, which provides a suitable compromise between atomic precision and computational effort.
Enhanced pedestal H-mode at low edge ion collisionality on NSTX
Authors: Battaglia D. J. , Guttenfelder W. , Bell R. E. , Diallo A. , Ferraro N. , Fredrickson E. , Gerhardt S. P. , Kaye S. M. , Maingi R. , Smith D. R.
Published: July 2020

The Enhanced Pedestal (EP) H-mode regime is an attractive wide-pedestal high-βp scenario for the National Spherical Torus Experiment Upgrade (NSTX-U) and next-step devices as it achieves enhanced energy confinement (H98y,2 > 1.5), large normalized pressure (βN > 5), and significant bootstrap fraction (fBS > 0.6) at Ip/BT = 2 MA/T. This regime is realized when the edge ion collisionality becomes sufficiently small that a positive feedback interaction occurs between a reduction in the ion neoclassical energy transport and an increase in the particle transport from pressure-driven edge instabilities. The EP H-mode was most often observed as a transition following a large edge-localized mode in conditions with low edge neutral recycling. It is hypothesized that the onset of pressure-driven instabilities prior to the full recovery of the neutral density leads to a temporary period with an elevated ion temperature gradient that triggers the transition to EP H-mode. Linear CGYRO and M3D-C1 calculations are compared to beam emission spectroscopy and magnetic spectroscopy in order to describe the evolution of the edge particle transport mechanisms during the ELM recovery and the saturated EP H-mode state. The observations are consistent with the hypothesis that the onset of pressure-driven edge instabilities, such as the kinetic ballooning mode and kink-peeling mode, can be responsible for the increased particle transport in EP H-mode.
Micro-plasma actuator mechanisms in interaction with fluid flow for wind energy applications: Physical parameters
Authors: Omidi Javad , Mazaheri Karim
Published: July 2020

Plasma actuator is a flow control device to improve the aerodynamic performance of wind turbine blades at low airspeeds. One of the most robust numerical models for simulation of plasma actuator interaction with the fluid flow is the electrostatic model. This model is improved recently and is extensively verified by the authors. Due to the high cost of performing experimental optimizations, the optimized geometrical dimensions and materials of a plasma actuator may be sought by this numerical model. The aim of the present study is the aerodynamic enhancement of a DU21 wind turbine blade airfoil in which the effect of geometric parameters and the dielectric material is examined separately. The examined parameters include the dielectric thickness and material, the electrode thickness, and the embedded electrode length. This study shows that for performance improvement, there is a certain limit for each parameter. The length of the embedded electrode and the dielectric permittivity have a maximum limit, after which increasing the values of these parameters does not significantly affect the performance of the actuator. The increase in both the electrode thickness and the dielectric thickness reduces the effect of the actuator, and after increasing to a certain extent, no significant extra effect on the actuator performance is seen. These results also show that the improved electrostatic model can be used as a powerful tool to model the effects of different parameters to find an optimum blade design.
Computational prediction of muon stopping sites: A novel take on the unperturbed electrostatic potential method
Authors: Sturniolo Simone , Liborio Leandro
Published: July 2020

Finding the stopping site of the muon in a muon-spin relaxation experiment is one of the main problems of muon spectroscopy, and computational techniques that make use of quantum chemistry simulations can be of great help when looking for this stopping site. The most thorough approach would require the use of simulations, such as Density Functional Theory (DFT), to test and optimize multiple possible sites, accounting for the effect that the added muon has on its surroundings. However, this can be computationally expensive and sometimes unnecessary. Hence, in this work, we present a software implementation of the Unperturbed Electrostatic Potential (UEP) Method: an approach used for finding the muon stopping site in crystalline materials. The UEP method requires only one DFT calculation, necessary to compute the electronic density. This, in turn, is used to calculate the minima of the crystalline material’s electrostatic potential and the estimates of the muon stopping site, relying on the approximation that the muon’s presence does not significantly affect its surroundings. One of the main UEP’s assumptions is that the muon stopping site will be one of the crystalline material’s electrostatic potential minima. In this regard, we also propose some symmetry-based considerations about the properties of this crystalline material’s electrostatic potential, in particular, which sites are more likely to be its minima and why the unperturbed approximation may be sufficiently robust for them. We introduce the Python software package pymuon-suite and the various utilities it provides to facilitate these calculations, and finally, we demonstrate the effectiveness of the method with some chosen example systems.
Effects of gravity and surface tension on steady microbubble propagation in asymmetric bifurcating airways
Authors: Munir Bacha , Xu Yong
Published: July 2020

Mechanical ventilation is nowadays a well-developed, safe, and necessary strategy for acute respiratory distress syndrome patients to survive. However, the propagation of microbubbles in airway bifurcations during mechanical ventilation makes the existing lung injury more severe. In this paper, finite element and direct interface tracking techniques were utilized to simulate steady microbubble propagation in a two-dimensional asymmetric bifurcating airway filled with a viscous fluid. Inertial effects were neglected, and the numerical solution of Stokes’s equations was used to investigate how gravity and surface tension defined by a Bond (Bo) number and capillary (Ca) number influence the magnitudes of pressure gradients, shear stresses, and shear stress gradients on the bifurcating daughter airway wall. It is found that increasing Bo significantly influenced both the bubble shape and hydrodynamic stresses, where Bo ≥ 0.25 results in a significant increase in bubble elevation and pressure gradient in the upper daughter wall. Although for both Bo and Ca, the magnitude of the pressure gradient is always much larger in the upper daughter airway wall, Ca has a great role in amplifying the magnitude of the pressure gradient. In conclusion, both gravity and surface tension play a key role in the steady microbubble propagation and hydrodynamic stresses in the bifurcating airways.
Gaussian representation for image recognition and reinforcement learning of atomistic structure
Authors: Christiansen Mads-Peter V. , Mortensen Henrik Lund , Meldgaard Søren Ager , Hammer Bjørk
Published: July 2020

The success of applying machine learning to speed up structure search and improve property prediction in computational chemical physics depends critically on the representation chosen for the atomistic structure. In this work, we investigate how different image representations of two planar atomistic structures (ideal graphene and graphene with a grain boundary region) influence the ability of a reinforcement learning algorithm [the Atomistic Structure Learning Algorithm (ASLA)] to identify the structures from no prior knowledge while interacting with an electronic structure program. Compared to a one-hot encoding, we find a radial Gaussian broadening of the atomic position to be beneficial for the reinforcement learning process, which may even identify the Gaussians with the most favorable broadening hyperparameters during the structural search. Providing further image representations with angular information inspired by the smooth overlap of atomic positions method, however, is not found to cause further speedup of ASLA.
When possible, report a Fisher-exactPvalue and display its underlying null randomization distribution
Authors: Bind M.-A. C. , Rubin D. B.
Published: July 2020

Significance

Statistical analyses of randomized experiments often rely on asymptoticPvalues instead of using the actual randomization procedure that led to the observed data. Fisher-exact and asymptoticPvalues can differ dramatically: The former should be preferred because it is calculated using the exact null randomization distribution, which, in small samples, can substantially differ from its approximating Student’stdistribution. Moreover, we may learn something scientifically interesting from examining the shape of the null randomization distribution.
The African hero in Mozambican history: on assassinations and executions – Part I
Authors: Saul John S.
Published: July 2020

‘A gun shot in the middle of a concert [is] something vulgar, [yet] something which is impossible to ignore’, writes Stendhal, the greatest of political novelists. The same is true of death – especially of death by assassination and death by execution – in the political analysis of Africa. For, as argued here in two linked texts, one in this issue of the Review of African Political Economy, ROAPE, and a second in the following issue of ROAPE, such intrusions of planned and orchestrated deaths are seen to have provided key moments in African politics (and, not least, in Mozambican politics), albeit moments that have too seldom been allotted the theoretical attention they warrant or debated with the seriousness they deserve. In this Part I (and its subsection 1) of the present contribution to the Debate section of ROAPE, different ways of approaching this matter are first reflected upon. Then, in subsection 2, some of the issues so raised are exemplified with reference to the first of the two most pertinent assassinations in Mozambican history, the assassination in 1969 (in Dar es Salaam) of Frelimo’s first president, Eduardo Mondlane. In Part II of this essay (to appear in the next issue of ROAPE), the discussion of Mondlane and his assassination will be complemented by a reflection on the assassination in 1986 of his immediate successor as Frelimo president (and the eventual first president of Mozambique), Samora Machel. Several other related matters will also be discussed in this Part II, matters I will anticipate at the end of this first part (below). But such sections, too, will help us to bring into focus the main theme of this two-part article and of the subsequent debate it seems to stimulate, which are: just what difference can the several assassinations and executions that have scarred Mozambican history be thought to have made to the shaping of longer-term outcomes in the country’s history; and what, more generally, can we hope to learn from such a closer examination of the ‘what ifs’ of history?
Extractivism, exclusion and conflicts in Senegal’s agro-industrial transformation
Authors: Benegiamo Maura
Published: July 2020

In the last two decades, the promotion of agro-industry has become a dominant developmental imperative on the African continent, leading to efforts to involve private-sector actors. This article examines the political economy and ecology of agro-industry in the Senegal River delta, focusing on local-level reactions to Senegalese initiatives aimed at attracting foreign investors in agriculture. The argument is that Senegal is witnessing the emergence of an agro-extractivist pattern that replaces earlier development objectives – such as peasants’ integration into the national economy – with the new imperative of the integration of territories into global capitalism. The article presents empirical evidence on three main consequences of the increased presence of agro-industry: a process of change in land property and access; the end of public support to peasant farmers; and an intensified marginalisation of pastoralism. Colonial heritage and the role of local resistances in shaping and mediating this developmental strategy are also discussed.
Membrane budding is a major mechanism of in vivo platelet biogenesis
Authors: Potts Kathryn S. , Farley Alison , Dawson Caleb A. , Rimes Joel , Biben Christine , de Graaf Carolyn , Potts Margaret A. , Stonehouse Olivia J. , Carmagnac Amandine , Gangatirkar Pradnya , Josefsson Emma C. , Anttila Casey , Amann-Zalcenstein Daniela , Naik Shalin , Alexander Warren S. , Hilton Douglas J. , Hawkins Edwin D. , Taoudi Samir
Published: July 2020

How platelets are produced by megakaryocytes in vivo remains controversial despite more than a century of investigation. Megakaryocytes readily produce proplatelet structures in vitro; however, visualization of platelet release from proplatelets in vivo has remained elusive. We show that within the native prenatal and adult environments, the frequency and rate of proplatelet formation is incompatible with the physiological demands of platelet replacement. We resolve this inconsistency by performing in-depth analysis of plasma membrane budding, a cellular process that has previously been dismissed as a source of platelet production. Our studies demonstrate that membrane budding results in the sustained release of platelets directly into the peripheral circulation during both fetal and adult life without induction of cell death or proplatelet formation. In support of this model, we demonstrate that in mice deficient for NF-E2 (the thrombopoietic master regulator), the absence of membrane budding correlates with failure of in vivo platelet production. Accordingly, we propose that membrane budding, rather than proplatelet formation, supplies the majority of the platelet biomass.
Comparison of Histogram Based Image Enhancement Methods on Iris Images
Authors: Hapsari R K , Utoyo M I , Rulaningtyas R , Suprajitno H
Published: July 2020

Iridology, which is an alternative diagnosis that links iris patterns, colour, tissue weakness, damage and other characteristics, which can obtain evidence about the patient’s systemic health. Iridology can be integrated with the best technology such as computer vision for accurate identification of abnormalities in various organs of the human body. By extracting information from iris image data. Image quality improvement is needed because often the images tested have poor quality, for example images experiencing lighting, noise (noise), the image is too dark or bright, the image is not sharp, and blurred. In this research, the iris image quality was improved by the method of HE, AHE and CLAHE. The results of the improvement of 40 iris images obtained an average value of MSE and RSME, the smallest of the three methods is the CLAHE method, so that the CLAHE method is best used for iris image improvement. Overall, based on the PSNR values, the three methods are good for enhancing image contrast because they have an average PSNR of more than 30dB.
APPLICATION DEVELOPMENT OF VEHICLE COUNTING AND CLASSIFICATION USING YOLOV2
Authors: Pryandika Yoga Nugraha , Renny Pradina K
Published: July 2020

In this research, we going to introduce a method named You Only Look Once v2 (YOLOv2) for vehicle detection and vehicle classification. The vehicle is going to classify is divided by 4 there are car, motorcycle, truck, and bus. The result of classified data it can provide data for Intelligent Transportation System (ITS) to engineering the traffic road to reduce the number of traffic jam in the big city. With this method we can receive higher accuracy and performance than another method proposed before. By using data consist of 21198 objects for training, from all that data there is consist of 8936 cars, 462 buses, 1681 trucks, and 10119 motorcycles. Then from all that data we can created some weight that took for 10 hours for training so that we can receive mean Average Precision (mAP) for 60.63 % mAP and higher performance detection with frame rate 20 up to 35 frame per seconds which is almost equal to real-time.
The development of information system for garments industry using the android platform
Authors: Suwintana I Ketut , Sudiadnyani IGA Oka
Published: July 2020

Nowadays, almost all cellphones are connected to internet and they are referred to as smartphones. Smartphones can be utilized by the garment industry to assist monitoring the production and financial management processes. The purpose of this study is to develop an Android-based mobile application in the “X” garment industry which is integrated with the existing web-based information systems. The application was developed using the Rapid Application Development (RAD) software development method. The program code for the mobile application was created using Android Studio 3 and database access (MySQL DBMS) on the server via Web Service (REST API). Application evaluation was done by two methods, namely System Usability Scaling (SUS) and Black Box Test. The Black Box Test results showed that all application functions were running appropriately, and value of the System Usability Scaling (SUS) test was 83.5. This indicates that the application is feasible to be implemented in the “X” garment industry.
Information System Design of Web-Based Integrated Surveillance of Ari Disease in The Health Office
Authors: Hikmah Faiqatul , Farlinda Sustin , Roziqin Mochammad Choirur , Faris Zhindy
Published: July 2020

Integrated surveillance of ARI disease at Health Office of Jember is still using manual method in reporting in which the officers have to come directly to the Health Office to collect the data. The problem emerged of this manual method is the difficulty of designing the report because the officers have to recap and re-search the data of the report, and the data collection process is often late due to the far distance of the health center to the manual health office. This research was intended to create a design for data recording and reporting system of integrated surveillance of ARI disease in order to facilitate the reporting process to the Health Office. The method used was waterfall method with the stages of need identification, designing system, Website implementation, integration, and testing. This research used qualitative approach, in which the data were collected through the interview, observation, and FGD. The script editors used were PHP program and Sublime Text3. The result obtained from this research was the information system of integrated surveillance report of ARI disease. Thus, it is suggested to increase the distribution of component data related to the integrated surveillance report in order to decide the action planning of ARI disease.
Implementation of Decision Tree and Naïve Bayes Classification Method for Predicting Study Period
Authors: Pandiangan N , Buono M L C , Loppies S H D
Published: July 2020

student learning performance influences the quality of a university. One indicator of assessment of student learning performance is the student’s study period. By predicting the student’s study period, universities can evaluate performance to strive to improve the quality of universities. Data mining is one of the choice technique in terms of predictions. But, each algorithm in data mining has the advantages of each, including Decision Tree and Naïve Bayes Algorithm which were tested in this research. This research shows Decision Tree is better than Naïve Bayes Algorithm to be the best choice to predicting study period with accuracy level tested for several ratios of training data and test data are 60:40,65:35,70:30,75:25 and 80:20 produce the highest accuracy values obtaines by decision tree with accuracy values are 90%, 89,14%, 89,3%, 88,8% and 88%. But, the amount of training data in this research does not affect the value of accuracy. This is shown from the value of accuracy in a certain ratio is very small but sometimes also the value of accuracy is high
E-Monitoring Microtic Network uses The Dude in Musamus University
Authors: Manggau Fransiskus X , Latif Agustan , Suwarjono
Published: July 2020

This study aims to carry out the monitoring process of wireless local area network (WLAN) microtics using the Dude application at Musamus University. It is expected that the monitoring results can be in the form of messages / notifications to network administrators. Network monitoring will be increasingly difficult if the computer network topology in an institution is very broad and complex. The network devices used in this study are the Mikotik operating system with the Dude tools with the specifications of Mikrotik RB433, The Dude server and The Dude Client. Based on the results of the implementation and testing carried out on the WLAN network of Musamus University, it was found that the use of The Dude Application can make it easier for network admins to know the position of the proxy router that has trouble, up and down on the proxy router. Another advantage is that the admin simply monitors the network on the server because if there is trouble or the system down the admin gets a notification in the form of an email from the Dude.
Application Report Process Of Islamic School Based On Pesantren Boarding Using Waterfall Model
Authors: Rahayu Tri Kustanti , Susanto  , Suwarjono
Published: July 2020

This research aims to develop information system applications for processing report evaluation of Islamic junior high schools based on boarding pesantren. Islamic junior high school based of boarding pesantren has different evaluation methods from junior high schools in general. Because Islamic junior high school based on boarding pesantren not only assess students academic abilities but also assess students religious abilities. This research uses waterfall method to build and develop software applications report process. There are 5 stages to be implemented such as communication, planning, modelling, construction, and development. In addition, it also uses Data Flow Diagrams to model the data flow that occurs in the system. The results is software applications that can combining report card from school with boarding pesantren.
Measuring the Maturity Level of Information Technology Governance in the Informatics Engineering Department Using COBIT 4.1
Authors: Prayitno A , Patawaran N , Marsujitullah
Published: July 2020

Information technology plays an important role in the business world because it may affect the operations of the organization within the organization that also uses information technology to provide information. One of the departments that use information technology is the Information Engineering Department of Musamus Merauke University, which is used to provide information related to the Department of Information Engineering. But in the use of information technology is still flawed. Therefore, it is necessary to have a standard in information technology management to measure overall standards and governance in information technology management, ie using COBIT. 4.1 Based on this study, we will design an information technology management model for the Department of Information Engineering. Control objectives for information and related technologies (COBIT) are 4 primary domains, including domains, planning and organization (PO), acquisition and implementation (AI), transmission and support (DS) and Monitoring and Evaluate (ME) in all four domain research in COBIT 4.1 used to solve the problems and needs of the information engineering department in information technology management, support the process of technology services Prof. support and supervision and evaluation of information technology. The study found that the level of maturity of information technology supervision in the information engineering department is at level 2. Therefore, information technology in the information engineering department must be improved to the expected level.
The Implementation Of An Expert System In Diagnosing Skin Diseases Using The Dempster-Shafer Method
Authors: Buono M L C , Pandiangan N , Loppies S H D
Published: July 2020

In this study we will describe the types of diseases that often attack the skin. The skin is a very sensitive organ of the body and susceptible to disease. This study uses a dempster-shafer method that is used to diagnose symptoms of skin disease. The dempster-shafer method in this study uses rule based obtained from dermatologists. The results of this study were able to produce an accurate diagnosis of 68.8% using trial sample data. The dempster-shafer method can be applied in the diagnosis of skin diseases.
Selection of Snack Suppliers in Merauke Regency Based on Sample Additive Wight (SAW)
Authors: Jayawardana H , Zubaedah R , Loppies SHD , Xaverius F
Published: July 2020

Offices will always carry out activities to be able to develop, including the implementation of meetings, seminars, competitions and guest guests. Sometimes these activities are carried out at the same time or cover the number of participants to thousands of people. Giving snacks in activities is considered important because it can help participants to keep active in participating in activities and also help maintain endurance during follow-up activities. Therefore, the need for biased snack suppliers is more than 1. This research tries to find the best choice of order to prioritize these suppliers. The results of this study can be one of the references for choosing the priority of snack suppliers in Merauke Regency.
Analysis and design student entrepreneurship information system
Authors: Mukaromah S , Pratama A , Ithriah S A , Putra A B
Published: July 2020

Entrepreneurship Course is a compulsory subject that must be accepted by all students of University of Pembangunan Nasional “Veteran” Jawa Timur. This is done with the goal that students have the spirit of entrepreneurship. For this reason, in order for entrepreneurship to continue until students graduate, a Student Entrepreneurship Information System is created or it is called Sistem Informasi Kewirausahaan Mahasiswa (Sirama) in Indonesia. In the following article we will discuss about the proposed system design as a place for entrepreneurship for students and alumni. The analysis design that will be discussed is System Flow, Data Flow Diagrams (DFD), and Conceptual Data Model (CDM) and Physical Data Model (PDM) which are generated from CDM. The conclusion of this article is the system design for developing programs using web applications.
Difficulty Curve-Based Procedural Generation of Scrolling Shooter Enemy Formations
Authors: Atmaja Pratama Wirya , Sugiarto  , Mandyartha Eka Prakarsa
Published: July 2020

In any game where the player must face large formations of enemies, the way the formations are formed significantly influences the difficulty level of the game. As proper difficulty levels are essential to player’s enjoyment, the enemy formations need to be arranged properly. In this paper we experimented with how to procedurally generate enemy formations in a vertical scrolling shooter game while keeping the difficulty levels proper. Generations of the formations were done with genetic algorithm where the fitness function calculated two variables: difficulty curve, which reflects a formation’s difficulty level, and enemy variety. The difficulty curve took into account difficulty points, which measured the danger levels of on-screen enemies throughout the game’s duration. The fitness of difficulty curve of an enemy formation was acquired through point-by-point comparison between the curve and a human-designed one, which represented the ideal difficulty curve as intended by the game’s developer, and calculation of the root-mean-square error. The genotype of an individual was represented by a 5x40 grid containing enemy genes and empty space genes. We ran 300 generations in total and each was done in 100 iterations and had 40 individual genotypes. The results show that the amount of enemy genes in initial genotypes influences the population’s fitness progression. We then discuss the implications of our findings and possible directions of future researches.
Design and Development Executive Information System Application with Drilldown and What-If Analysis features
Authors: Putra Agung Brastama , Mukaromah Siti , Agussalim  , Lusiarini Yessika , Rizky Mohamad Ibnu , Bestari Pradita Yunifa
Published: July 2020

Indonesia has a big potential in the agriculture sector, paddy is the leading commodity in the food crop sub-sector. To achieve food self-sufficiency, the availability of paddy commodities information is needed to support stakeholders in making decisions. The problem presented in this paper is how to develop executive information system software that provides summarized information related to production, land area and productivity of paddy. To answer the question above, the following steps are needed: a. design and b. develop the Design process from this paper using the iconix process and result from the build process is an application Executive Information System (EIS). The application developed uses the drill-down graphics and what-if analysis facility to display land area, production, and productivity, the information displayed provides valuable insights into the industry and helps in decision making.
Online Learning Self-Efficacy: The Role in E-Learning Success
Authors: Ithriah S A , Ridwandono D , Suryanto T L M
Published: July 2020

The e-learning success factor has been widely researched. One of which is Self-Efficacy, that has a vital role in online learning. Previous research has focused only on Computer Self-Efficacy. While the effect of a more specific factor, Online Learning Self-Efficacy, is unknown. This research has a contribution in revealing the influence of Online Learning Self-Efficacy factor to the success of e-learning by using D & M model. This study uses a quantitative approach to a sample of 101 university students. The result of data processing using Warp PLS shows that the factor of Online Learning has a positive and significant influence on the use of e-learning. Although this research has some limitations, which will be discussed in this paper, this research can still become a starting point for further research in the online learning field.
Global and Adaptive Thresholding Technique for White Blood Cell Image Segmentation
Authors: Mandyartha Eka Prakarsa , Anggraeny Fetty Tri , Muttaqin Faisal , Akbar Fawwaz Ali
Published: July 2020

Global and local thresholding are two thresholding approaches for white blood cell (WBC) image segmentation. Global thresholding determines the threshold value based on the histogram of the overall pixel intensity distribution of the image. In contrast, adaptive thresholding computes the threshold value for each fractional region of the image, so that each fractional region has a different threshold value. In this work, we are assessing both of these approaches for two threshold values. We extended the Otsu’s equation to calculate more than one threshold as it originally designed to find only a single threshold value. Adaptive thresholding first divides an image into fractional-image by considering an imaginary bounding box that surrounds the location of WBC, which involves the Gram-Schmidt orthogonalization method. For segmentation performance evaluation, we compare 35 blood smear test images which segmented by our proposed method, with their corresponding ground truth image to representing them in Zijdenbos Similarity Index (ZSI), precision, and recall measurement. Experimental results show that adaptive thresholding achieves average ZSI, precision and recall, 92.5%, 91.79%, 94.03%, while global thresholding achieves 30.72%, 23.38%, and 99.39% respectively.