bluuebunny/crossref_metadata_2025_split huggingface dataset:
New heuristic algorithm for traveling salesman problem
Authors: Shahab M L 
Published: May 2019

Abstract
Traveling salesman problem (TSP) is a basis for many bigger problems. If we can find an efficient method (that produce a good result in a short time) to solve the TSP, then we will also be able to solve many other problems. In this research, we proposed a new heuristic algorithm for TSP. We used 80 problems from TSPLIB to test the proposed heuristic algorithm. The proposed heuristic algorithm can find the best-known distance for 36 different TSPs. The average of all Goodness Value is 99.50%.
The application of statistic image analysis for classification of breast cancer based on mammograms
Authors: Sulistyaningrum D R , Setiyono B , Utomo D B , Sanjoyo B A 
Published: May 2019

Abstract
Cancer is a disease characterized by the ability of abnormal cells to grow uncontrollably. In the medical field, detection of breast cancer is done using a mammogram. Examination of the mammogram image is still done manually by the doctor / radiologist, so it is necessary to use technology as supporting information. In this research, mammogram image classification based on gray-level co-occurrence (GLCM) matrix and gray-tone difference matrix (GTDM) has been done with backpropagation method. The stages of the mammogram image classification process include the process of image acquisition, pre-processing, feature extraction with GLCM and GTDM and classification using backpropagation. The preprocessing process carried out is gray-scalling, contrast enhancement, image segmentation with Otsu thresholding, edge detection process, and image thickening process with widening morphology method. The highest performance results for accuracy are 85% and precision is 85.7%. This result was obtained when using the GLCM and GTDM feature extraction methods.
Using Jeffrey prior information to estimate the shape parameter k of Burr distribution
Authors: Hakim A R , Novita M , Fithriani I 
Published: May 2019

Abstract
Burr distribution with two parameters was first introduced by Burr. This distribution has gained special attention and has been applied in various disciplines. The maximum likelihood method is the most commonly used to estimate its parameters. However, the Bayesian method receives more attention. The parameter estimation using the Bayesian method not only uses the information from the sample data but also combines it with the prior information for the parameter. Jeffrey prior information is one of the prior information we can use. This prior is a noninformative prior. It is proportional to the square root of the Fisher information for the parameter. In this paper we use Jeffrey prior information to estimate the shape parameter k of Burr distribution. As a comparison, we also use an extension of Jeffrey prior information which is proportional to the Fisher information raised by a positive constant. The comparison is made through a simulation with respect to the mean-squared error (MSE) and the posterior risk. The results of the comparison show that the Bayesian estimation for the shape parameter k under Jeffrey prior information gives better results in turn with the extended Jeffrey prior information.
Optimal control for extraction lipid model of microalgae Chlorella Vulgaris using PMP method
Authors: Mardlijah  , Ilmayasinta Nur , Arif Irhami Elmir 
Published: May 2019

Abstract
Microalgae is one of the energy to be used as biodiesel. Chlorella Vulgaris is one of the most economical algae to produce biodiesel, because these green algae are rich in carbohydrates, require no special care, and easy to grow. Algae oil obtained for biodiesel production is obtained through a fairly long process, one of which is the process of lipid extraction. In the study of lipid extraction process using solid-liquid or leaching extraction is the transfer of dissolved dissolved components from solids into the solvent. In the study used CO2-expended methanol (CXM). Soxhlet Extraction Method is a method for lipid extraction using hexane, in the process of extraction with Soxhlet tool there is a process of lipid mass transfer contained in Chlorella Vulgaris to flow CXM. This process of displacement has created a diferential equation which can be viewed as a system by Sriati Monalisa Siahaan(2016) to be used as a mathematical model to predict extractable lipid results for subsequent use as the main ingredient of biodiesel production. In her research, Sriati refers to a research conducted by Yi-Hung Yang(2015). In this research aims to perform optimal control with Pontryagin Maximum Principle (PMP) method to produce maximum lipid extraction result. This method is used to obtain the best control of the dynamic system from the initial state to the last by maximizing the objective function and more modern than other methods such as Linear Quadratic Regulator (LQR). Using the PMP method to optimal control in this systems, can increase the value of lipid concentration.
A deterministic model of measles with imperfect vaccination and quarantine intervention
Authors: Aldila Dipo , Asrianti Dinda 
Published: May 2019

Abstract
A modified SVIQR (Susceptible-Vaccinated-Infected-Quarantine-Recovered) deterministic model for measles infection will be discussed in this article. An intervention of two times vaccination (one of them is imperfect to protect measles infection) is implemented along with the quarantine intervention in a purpose to controlling the spread of measles among human population. A measles-free and measles endemic equilibrium, for a complete and a simplified model, established analytically. A basic-reproduction number (R
0) as the endemic indicator is performed using the next-generation matrix approach. We find that the disease-free equilibrium is locally stable if R
0
< 1 and the endemic equilibrium of measles is achieved when R
0
> 1. Some numerical simulation regarding the sensitivities of R
0 and simulation for the autonomous model is given to give a better interpretation for the analytical results.
Software development to predict the level of paddy production using Gaussian Copula Marginal Regression
Authors: Goldestan Gandes , Sutikno  , Setiyono Budi , Mukhlash Imam 
Published: May 2019

Abstract
Appropriate decision making in rice production management is needed to support national food security efforts, especially in East Java which is the largest rice production province in Indonesia. This study aims to develop a web-based decision support system to predict rice production levels in five districts of rice production centers in East Java. A web-based decision support system is constructed to make information accessible and understandable. The method used in this study is Gaussian Copula Marginal Regression (GCMR), which is regression based on Copula. Predictor variables (rainfall) and response variables (harvested area) are identified their correlation using Copula correlation. Estimation of harvested area is constructed using GCMR model. The results showed that the GCMR model used was able to model the area of rice harvest in five districts of rice production centers in East Java. Furthermore, the system is also able to predict the level of rice production in the short term as decision support to help the authorities give consideration in taking policy related to agriculture and food security in East Java.
Reduction of Cd in circular cylinder using three passive control at Re=500
Authors: Imron Chairul , Charisma Juni K , Widodo Basuki , Yuwono Triyogi 
Published: May 2019

Abstract
Passive control is the addition of a small object to an object to reduce the drag force of the object. This study focuses on three passive controls. Numerically, the problem of three passive controls for drag reduction of circular cylinder is studied. In this case, three passive controls are placed in front of and in the rear of the main object. A passive control type-I is in front of circular cylinder while the others are in rear. The distance of the passive controls is varies to the circular cylinder. In this study, we want to find an effective distance of the main object to three passive controls from the shape and the angle position of the passive controls.
Role of clustering based on density to detect patterns of stock trading deviation
Authors: Mustika Rukmi Alvida , Soetrisno  , Wahid Abirohman 
Published: May 2019

Abstract
The pattern of deviation patterns can be identified from the results of cluster transactions and transactions that are transaction irregularities, will be detected. DBSCAN as a density-based clustering algorithm forms clusters that agglomerate and make it easier to detect unclustered data, which is considered as data noise (data outlier). The nature of density in the data clamping process will make it easier to determine noise data objects.The DBSCAN has two parameters, Eps and MinPts. The values entered in both parameters play a role in forming clusters. Stock trading transactions are stated as data objects to be clustered. The noise from clustering with DBSCAN shows outlier transactions, which have diferrent pattern with ordinary transactions. In the results of this clustering, the stock transaction pattern which includes outliers is obtained, marking the close occurs. This result can help to detect stock price manipulation in outlier transactions carried out by securities brokers
Comparison between PID controller and fuzzy sliding mode control (FSMC) on super heater system
Authors: Mardlijah  , Mahatir Najar Abdul , Khusnul Arif Didik 
Published: May 2019

Abstract
Super heater, a component in a boiler, is an important component in a steam power plant system. It serves to transform the heat into superheated steam to spin a turbine. The steam temperature must be carefully controlled, to ensure good quality of steam. For the best performance of steam power plant (PLTU) 3-4 PJB UP Gresik, Indonesia, the temperature of superheated steam must be achieve 814 K. In this paper was designed PID controller super heater system and analysis of the performance of the system by comparing PID and FSMC. PID Controller can generate steam temperature stable at 814 K. While the FSMC controller generate steam temperature stable at 814.097 K. Thus, it was concluded that PID controller can generates more accurate steam temperature than FSMC. However when the system get a disturbance, FSMC can handle it better than PID controller.
Simulation study scenario algorithm on gene expression differences of Chickpea data in Indonesia to modeling series with the Bayesian approach
Authors: Budi Astuti Ani , Solimun  , Achmad Rinaldo Fernandes Adji , Iriawan Nur 
Published: May 2019

Abstract
Data on gene expression differences of chickpeas in Indonesia in healthy and diseased conditions was the result of microarray experiments. The diseased condition in chickpeas are caused by Ascochyta Rabiei pathogenic fungi. To learn more details about the gene expression differences data of chickpeas in Indonesia, especially regarding the distribution and fit modeling of the data, a specific simulation scenario is needed in order to obtain an overview of these data. The purpose of this study is to obtain the right simulation scenario algorithm for data on differences in gene expression of chickpeas in Indonesia in a series of modeling activities using the Bayesian approach. The results showed that with certain simulation scenarios obtained simulation data of gene expression differences of chickpeas in Indonesia that are similar to the original data. In this scenario repetition of 1,000 times with each repetition generated a data sample as many as 3 n according to the number of samples in the original data. These simulation scenario has specific characteristics because of the strict limitations of the meaning of the data on the gene expression differences that are generated. In these simulation scenario, the value of largest tolerance limit is 0.0999.
MHD fluid flow with the effect of mixed convection passing on a magnetic sphere in newtonian nano fluid
Authors: Widodo Basuki , Norasia Yolanda , Adzkiya Dieky 
Published: May 2019

Abstract
This paper considers magneto-hydrodynamics (MHD) fluid flow with the effect of mixed convection passing on a magnetic sphere in nano fluid. Titanium dioxide (TiO
2) is chosen as solid particle in nano fluid. The dimensional governing equations are developed from continuity equation, momentum equation, and energy equation. Furthermore, the dimensional governing equations are transformed into the non-dimensional governing equation by using non-dimensional parameters and variables. Then, the non-dimensional governing equations are transformed into similarity equations using stream function and then solved numerically using implicit finite difference method. The results of numerical solution are obtained using variation of non-dimensional parameters which consist of magnetic parameter, mixed convective parameter, and volume fraction. The numerical results show that the velocity and temperature decrease when magnetic parameter increases. The velocity and temperature increase when mixed convective parameter also increases. Finally, the velocity decreases and temperature increases when volume fraction parameters increase.
Minimizing cost and backorder risk through customer priority on spares inventory
Authors: Lukitosari V , Subriadi A P , Siyamah I 
Published: May 2019

Abstract
Spare parts demands usually occur due to the need to replace spare parts on damaged equipment. Uncertain demands and many types of spare parts require complex management. Therefore, the management of spare parts is very challenging. In this study, we developed a spare part inventory method by considering priorities based on customer class. Customers will be grouped according to the number of demands. The number of requests becomes a fill rate priority. Any request that cannot be fulfilled will have backorder risk. This customer prioritization aims to minimize costs and backorder risks. The difference in customer class aims to minimize total inventory costs. Spare parts will be issued based on the queue discipline which is first in first out. The inventory model is solved by the Lagrange multiplier method. Model verification is carried out in real practice in illustrative examples. The results of the research show that customer priorities that are carried out in the provision of the fulfilment of spare parts can reduce costs and backorder risks.
Learning in virtual physics laboratories assisted by a pedagogical agent
Authors: Roth Tobias , Appel Julia , Schwingel Alexander , Rumpler Martin 
Published: May 2019

Abstract
We present the concrete realization of a virtual laboratory equipped with a pedagogical agent. Its functionality and media didactics takes into account the results of an usability test on a prototype system, and the students’ demand on such an automated assistance as obtained from a preliminary survey. The pedagogical agent mediates between the content and the learner by activating him or her. To provide information about the learner’s skills, we propose a pragmatic and simplified competence model that is based on fundamental representations in physics (experiment, figure, text and equation). Moreover, an automated feedback relates the student’s self-assessment with the submitted answer to the correctness of the respective task. In consequence, the pedagogical agent enables mental reflection for a crucial review of the own learning process. Interestingly, learning pathways can be envisioned, thus, giving valuable insight into individual strengths and weaknesses.
APPs in sound measurements to gain a school-work experience
Authors: Buongiorno D , Longo A , Michelini M , Pagotto S , Ricci D , Santi L 
Published: May 2019

Abstract
To gain autonomy in studies and work competences, the Italian Ministry of Education introduced a mandatory school-work integration in upper secondary school curriculum. University is one of the possible work area for that students, offering lot of different proposals and experiences. University of Udine and Flaminio Liceum in Vittorio Veneto, in cooperation with University of Salento in Italy, planned to focus on innovation in using ICT for that aim. The research-based formative intervention module of the project phases are the following: choice of a topic (sound), exploration of some suggested mobile APPs for sound measurements, writing of technical reports on APPs by students and relative discussion, the use of City SoundScape APP to monitor landscape from city centre to natural reserve. Problems and learning needs of students have been monitored during the activities to find out the autonomy strategies, paying particular attention to the stimuli and motivational role of the APP use for measurements in developing study and work competences.
Real-life physics: phonocardiography, electrocardiography, and audiometry with a smartphone
Authors: Thoms Lars-Jochen , Collichia Giuseppe , Girwidz Raimund 
Published: May 2019

Abstract
To foster student motivation and engagement, we combined authentic contexts, procedures, and materials by assessing biomedical physics topics with a smartphone. Selected experiments with simple aids allow for the examination of a student’s heartbeat in various ways: e.g., phonocardiography and electrocardiography. In addition, students can test their frequency-dependent hearing threshold. These contexts lead to an understanding of various physics concepts in a meaningful way.
GeoGebra for Secondary School Physics
Authors: Kolář Petr 
Published: May 2019

Abstract
GeoGebra is a free software which has wide possibilities of using at secondary schools. In math lessons it is obvious. Using of GeoGebra for teaching the geometry and the analytical geometry is maybe an easiest way how to utilize this software. However, GeoGebra also offers tools for the calculus, the statistics and animations. All these facts suggest that we can use GeoGebra in physics. We can work with coordinates and vectors, we can simulate physical systems which are depended on a time and show their evolutions through animations. Then, using of the calculus and statistics in physics is a matter of course. We can also use interactive tools and create our own applets. A great advantage of GeoGebra is that basic tools are intuitive and simple to use. Thanks to this fact GeoGebra has lots of users around all world and they share materials ready to use at schools or instructions how to use some certain tool. This paper shows some of possibilities how to use GeoGebra at physics lessons.
Dipole Radiation – Multiple Visual Representations to Assist Learning
Authors: Girwidz R , Watzka B 
Published: May 2019

Abstract
The Hertzian Dipole is a standard topic for lectures in physics. It points to the fundamental mechanism that is responsible for electromagnetic radiation. Understanding the Hertzian Dipole is the first step toward understanding toward understanding the physics behind different antenna types, such as half-wave antennas and other types. But it is not easy to discuss the spatial and time-dependent behaviour.
Suitable illustrations and animations showing the formation of electromagnetic waves can help for teaching and learning. Moreover, a combination of multiple graphical representations can bring to light the relationships between different aspects. An HTML5-applet was written, specifically to illustrate dipole radiation. The program “DipoleRadiation” is designed to make aspects of electromagnetic radiation visible that cannot be seen directly.
In an explorative pilot study students were interviewed to find out more about their problems. Furthermore, an eye-tracker study was carried out to identify, what learners focussed on. First findings revealed some gaps in knowledge. Among them are a simple lack of prior knowledge, misunderstanding of models, invisible features, spatial imagination, and the ability to identify important details and abstractions from the superficial.
Mid-21st century ozone air quality and health burden in China under emissions scenarios and climate change
Authors: Westervelt D M , Ma C T , He M Z , Fiore A M , Kinney P L , Kioumourtzoglou M-A , Wang S , Xing J , Ding D , Correa G 
Published: May 2019

Abstract
Despite modest emissions reductions of air pollutants in recent years, China still suffers from poor air quality, and the outlook for future air quality in China is uncertain. We explore the impact of two disparate 2050 emissions scenarios relative to 2015 in the context of a changing climate with the Geophysical Fluid Dynamics Laboratory Atmospheric Model version 3 (GFDL-AM3) chemistry-climate model. We impose the same near-term climate change for both emission scenarios by setting global sea surface temperature (SST) and sea ice cover (SIC) to the average over 2010–2019 and 2046–2055, respectively, from a three-member ensemble of GFDL coupled climate model simulations under the RCP8.5 (Representative Concentration Pathway) scenario. By the 2050s, annual mean surface ozone increases throughout China by up to 8 ppbv from climate change alone (estimated by holding air pollutants at 2015 levels while setting SIC and SST to 2050 conditions in the model) and by 8–12 ppbv in a scenario in which emissions of ozone precursors nitrogen oxides (NO
x
) and anthropogenic volatile organic compounds (VOCs) increase by ∼10%. In a scenario in which NO
x
and anthropogenic VOC emissions decline by 60%, annual mean surface ozone over China decreases by 16–20 ppbv in the 2050s relative to the 2010s. The ozone increase from climate change alone results in an additional 62 000 premature deaths in China as compared to 330 000 fewer premature deaths by the 2050s under a strong emissions mitigation scenario. In springtime over Southwestern China in the 2050s, the model projects 9–12 ppbv enhancements to surface ozone from the stratosphere (diagnosed with a model tracer) and from international anthropogenic emissions (diagnosed by differencing AM3 simulations with the same emissions within China but higher versus lower emissions in the rest of the world). Our findings highlight the effectiveness of emissions controls in reducing the health burden in China due to air pollution, and also the potential for climate change and rising global emissions to offset, at least partially, some of the ozone decreases attained with regional emission reductions in China.