bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimal emission control and identification of an unknown pollution source
Authors: Parra-Guevara David , Skiba Yuri N. 
Published: December 2021

Abstract
The advection-diffusion-reaction equation is used for describing the dispersion of a quasi-passive contaminant from industrial point sources in a limited area. The conditions established on the open boundary ensure that the problem is correct in the sense of Hadamard, that is, its solution exists, is unique, and is stable to initial perturbations. The Lagrange identity is used to construct the adjoint operator and formulate an adjoint problem. Equivalent direct and adjoint estimates are derived to assess the concentration of the pollutant at monitoring sites of the area. Formulas obtained on the basis of adjoint estimates are useful in analysing the sensitivity of the model to both variations in the intensity of pollution sources and variations in the initial distribution of the pollutant concentration in the area. New optimal emission control strategies based on using the adjoint estimates are developed in order to prevent violations of existing sanitary standards by timely reduction of emission rates of operating sources. Optimal control here lies in minimizing these reductions. In addition, this control is primarily aimed at reducing the intensity of emissions from sources that most pollute the monitoring site. Also, new methods are proposed for identifying the main parameters of an unknown point source that arose as a result of a dangerous incident (accident, explosion, etc.). These methods allow determining the location and intensity of a constant or non-stationary point source, as well as the moment of emission of a pollutant in the case of an instantaneous point source. This helps to quickly assess the scale of the incident and its consequences. Numerical results show the effectiveness of the methods.
The influence of joint geometry of toneholes with the main bore of wind musical instruments on their frequency characteristics
Authors: Gerasimov R A 
Published: December 2021

Abstract
The article discusses the influence of geometric parameters (the presence and magnitude of the radius of curvature) at the junction of the toneholes with the main bore of the air column on the frequency characteristics of woodwind musical instruments. A theoretical calculation of the eigenfrequencies of an air column with one tonehole in the case of sharp edges has been carried out. The resonance frequencies were also found using computer simulation in the COMSOL Multiphysics 5.5 program for the case of sharp edges and joints with a radius of curvature. An empirical dependence of the frequency of the main tone of the air column on the radius of curvature of the edges of the tonehole is obtained. All simulation were carried out for two models: excluding and including viscous drag and thermal exchange losses.
Hybrid modeling of the human cardiovascular system using NeuralFMUs
Authors: Thummerer Tobias , Tintenherr Johannes , Mikelsons Lars 
Published: December 2021

Abstract
Hybrid modeling, the combination of first principle and machine learning models, is an emerging research field that gathers more and more attention. Even if hybrid models produce formidable results for academic examples, there are still different technical challenges that hinder the use of hybrid modeling in real-world applications. By presenting NeuralFMUs, the fusion of a Functional Mock-up Unit (FMU), a numerical ODE solver and an artifical neural network, we are paving the way for the use of a variety of first principle models from different modeling tools as parts of hybrid models. This contribution handles the hybrid modeling of a complex, real-world example: Starting with a simplified 1D-fluid model of the human cardiovascular system (arterial side), the aim is to learn neglected physical effects like arterial elasticity from data. We will show that the hybrid modeling process is more comfortable, needs less system knowledge and is therefore less error-prone compared to modeling solely based on first principle. Further, the resulting hybrid model has improved in computation performance, compared to a pure first principle white-box model, while still fulfilling the requirements regarding accuracy of the considered hemodynamic quantities. The use of the presented techniques is explained in a general manner and the considered use-case can serve as example for other modeling and simulation applications in and beyond the medical domain.
Optimum Placement of Long Gauge FBG Sensor in Reinforced Concrete Bridge: A Case Study
Authors: Lala Sayantani , Basumallick Nandini , Biswas Palas , Bandyopadhyay Somnath 
Published: December 2021

Abstract
In the world today, civil infrastructure plays a major role in the advancement of the modern age. They are huge in scale, complex in their behaviour and create great impact in everyday life. To ensure safety of these structures, assessment of their structural integrity is an important and challenging task. The sole purpose of structural health monitoring is to detect damage in the structures and suggest suitable rehabilitation measures. Various sensors are employed to achieve the task of damage detection and establish a warning system to avoid failure of the structures. For large structures, long-gauge Fibre Bragg Grating (FBG) sensors which are sensitive to the global behaviour, can be suitably used for this purpose. However, health monitoring of a structure with large number of sensors is expensive and hence there is a need to optimize the number of sensors deployed to minimize the cost of the exercise without compromising on performance assessment. For this purpose, several optimization algorithms are available in literature. In this study, the Effective Independence Method (EIM) which optimizes the response of the structure based on modal analysis, is used to derive the Optimum sensor placement (OSP) protocol for a reinforced concrete (RC) bridge-deck in Poland, the geometry of which has been taken from literature. This will enable the placement of 40 long gauge FBG sensors in regions for efficient damage response in the bridge-deck. Further, the optimum orientation of the sensors is further validated with a finite element model of the bridge-deck, where a moving load is applied, and strains are recorded in the sensing fibre in both longitudinal (along length) and transverse (along breadth) alignments. It has been found that long gauge FBG sensors placed in the transverse direction are more efficient in damage detection than when they are placed longitudinally.
Assessment and ranking flood events in a regulated river using information and complexity measures
Authors: Sawaf Mohamad Basel Al , Kawanisi Kiyosi , Xiao Cong 
Published: December 2021

Abstract
The availability of a robust approach that describe the hidden features of flood events in regulated rivers is of great importance. The key goal of this research is to utilize some of information and complexity measures to assess and rank flood patterns within a regulated river system. To meet this goal, the Metric Entropy (ME) as measure of information content and Rényi Complexity (CR) as a quantification for complexity content were employed. To examine the role of river regulation on flood risk control, river stage records of two monitoring stations located at downstream of two different dams were considered in this research. The findings show that information and complexity metrics offer an image of the randomness embedded in dataset and the presence of internal patterns in studied data records. In general, this research shows that natural environmental risks and disasters can be assessed and ranked using a promising physical scheme based on information and complexity measures.
E-module on elasticity of solids topic through cooperative learning to improve learning outcomes and motivation: Validity aspects
Authors: Muhammad N , Hamid F , Misbah M , Dewantara D 
Published: December 2021

AbstractThis study aims to describe the validity of the electronic module on the elasticity of solids topic through the cooperative learning model to improve students’ learning outcomes and motivation. This research is a research and development with the ADDIE development model. This electronic module was assessed by using the electronic module’s validation sheet. The validators of this e-module consisted of two academics and one practitioner. Based on the validation results, it was obtained that the validity of the electronic module was 3.49 with a valid category. It shows that the electronic module on the elasticity of solids topic through cooperative learning models can be used in the classroom learning process to improve student’s learning outcomes and motivation.
Learning how to plan a science lesson: An exploration of pre-service science teacher reflection in online microteaching
Authors: Haryanto Z , Sulaeman N F , Nuryadin A , Putra P D A , Putri S A , Rahmawati A Z 
Published: December 2021

Abstract
As a compulsory approach in shaping pre-service teachers for Technological Pedagogical Content Knowledge (TPACK), microteaching is either essential and challenging. During the COVID-19 pandemic, the shift from offline to the online microteaching course had occurred. This major shift drives the change of planning science lessons. Our research examined how pre-service science teachers designed and reflected their planning on a 30-minute microteaching unit. The participants of our study were four groups of pre-service science teachers that consisted of five students. The participants were pre-service science teachers from two national universities in Indonesia that were chosen by purposive sampling. The data was collected through the lesson plan, self-reflection to the lesson plan, and group discussion. We conducted both qualitative and quantitative analysis on research data for content analysis. The qualitative analysis dealt with the themes and patterns of the theme, while quantitative analysis dealt with the duration and frequency of the theme. Based on the analysis, the single domains such as CK, PK, TK were shown in the lesson plan. However, the complex domain of TPACK was rarely seen. The group discussions revealed that teacher educators need to become specific and explicit about which technology is being infused to support learning. It is significant to enhance the TPACK during planning in online microteaching classes and conduct further study of the implementation of this planning in the lesson.
The implementation of guided discovery learning model to improve students’ characters of responsibility and academic skills
Authors: Ahmad F , Mastuang M , Misbah M 
Published: December 2021

Abstract
The low level of responsibility and academic skills can hinder students in developing all their potentials to obtain more meaningful information and stay on one’s memory. Thus, research was conducted to improve the character of responsibility and the academic skills of Grade XI Science 1 students at SMA Negeri 12 Banjarmasin. This type of research is a class action model adapted from Kemmis and Mc Taggart, consisting of 2 cycles. Each cycle includes planning, implementation/observation, and reflection. The research subjects involved were 23 pupils. Observation and tests were conducted to collect the data needed. The instruments used were observation sheets on the implementation of the Learning Implementation Plan. Observation sheets were utilized to analyze student responsibility characters, science process skills tests, and cognitive ability tests. Data were analyzed descriptively. The findings of the research instruments from cycle I to cycle II stated: (1) the implementation of the Learning Implementation Plan in the first cycle of the first meeting obtained a score of 79.43% (good), and the second meeting received 85.36% (very good). In the second cycle, the first meeting got 91.73% (excellent) and the second meeting achieved 93.17% (very good); (2) The average level of student responsibility in cycle I and cycle II increased from 65.81% (high) to 81.42% (very high); (3) Students’ science process skills in cycle I and cycle II also increased from 0.58 (quite skilled) to 0.92 (very professional); (4) The classical cognitive ability of students in cycle I and cycle II increased from 78.26% (completed) to 100% (completed). It was concluded that the guided discovery learning model helped improve students’ responsibility and academic skills.
Analysis of the livewire software application on students’ learning understanding and motivation on ohm’s law concepts
Authors: Nurussaniah  , Sari I N , Rudi M 
Published: December 2021

Abstract
The study aimed to analyze the conceptual understanding and motivation to learning physics in schools with the help of livewire software. An experimental method with a post-test-only nonequivalent control group design was used to examine Ohm’s Law. The sample for the study consisted of a control class with 36 students and an experimental group comprising 37 learners drawn from a population of 145 through random sampling. Data collection tools used were tests and questionnaires to collect data, which was analyzed using the non-parametric statistics technique. The results showed that the livewire software made students’ understanding of Ohm’s Law concepts better compared to learning without the help of the software. Livewire software can motivate students to study Ohm’s Law.
Meta-analysis of the application inquiry learning models in physics classes
Authors: Budi G S 
Published: December 2021

Abstract
This research aims to analyze the inquiry learning model in the physics learning process. The samples of the study were 10 theses done by physics education students of Palangka Raya University. The theses were written by the students based on their research in applying the inquiry model in Palangka Raya Senior High School and in Junior High School. The theses were selected from among hundreds of reports based on the similarity topics started from the year 2015 until 2019. The method of this research is called meta-analysis, i.e., collecting the data from 10 selected thesis and analyzing them. To ensure the result, the researcher also carried out an interview with the students who wrote the thesis. The result of this meta-analysis research is that the inquiry learning model can improve student learning outcomes and also able to improve student skills such as Science Process Skills. However, the average score of the physics classes was still below the Minimal Achievement / Completeness Criteria, which is 75 %. It was found from the interview that the low achievement score of the physics classes was likely due to the lack of experience in teaching as well as lack of mastering the inquiry model.
IoT-Based 3D Printer Development for Student Competence Improvement
Authors: Prianto Eko , Sigit Pramono Herlambang , Yuchofif  
Published: December 2021

Abstract
This study aims to develop an IoT-based 3D Printer as a CNC Maintenance and Repair Learning Media, identify competencies that can be supported by an IoT-based 3D Printer Learning Media, and find out the implementation of 3D Printers in learning to improve student competence in the Mechatronics Engineering Education Study Program. The method used in this research is Research and Development using the ADDIE model, namely Analyze, Design, Development, Implementation, and Evaluation. The results of this study obtained an IoT-based 3D Printer machine that has been tested both in terms of function and feasibility which can be used in learning to improve the competence of students of the Mechatronics Engineering Education study program and the competencies supported by the learning media.
Application of LQR Full-State Feedback Controller for Rotational Inverted Pendulum
Authors: Setiawan N , Pratama G N P 
Published: December 2021

Abstract
The rotational inverted pendulum is an interesting subject for some researchers, especially control engineers. Its nonlinear and underactuated characteristic make it quite challenging to stabilize it. Hence, a proper control law is a must to make it stable. Here, in this paper, we present a control law using LQR (Linear-Quadratic Regulator) to stabilize the rotational inverted pendulum. The experiments are carried out by linearizing the model and simulate the response in MATLAB. The results show that the controller succeeds to stabilize the states of rotational inverted pendulum to their respective equilibrium points. Even more, it provides zero settling errors.
Development and Effectiveness of Drone as a Learning Media in Islamic Boarding School
Authors: Djatmiko I W , Yatmono S , Nugraha A C 
Published: December 2021

Abstract
Nowadays, drone technology is not only be used in commercial businesses but can also be utilized in a teaching-learning process, including in Islamic boarding school. This article will be discussed the development, performance, feasibility, and effectiveness of drone technology to be utilized as a learning media at Pesantren Hidayatullah Yogyakarta that is one of Islamic boarding school. The developed drone was the multicopter with a multi-rotor type using four rotors. This study was conducted with the development research approach developed by Alessi and Trollip and the descriptive research approach. This drone was applied in teaching-learning process at Pesantren Hidayatullah Yogyakarta. Data were obtained through drone’s testing and observation, interviews, questionnaires for the drone’s affectivity in teaching-learning process. The results of this study can be known that the drone performance is categorized as “Very Good” in terms of functionality and usability aspects. The drone feasibility in the term of material quality and its usefulness is included in the “Very Feasible” category. The drone as learning media has had significantly impact when it’s applied in learning process in extracurricular activities.
Effect of Mesh Topologies to Predict Cooling Effect on Evaporative Cooling Duct
Authors: Jamaldi A , Sarjito  , Nurrohkayati A S , Atmoko N T 
Published: December 2021

Abstract
This paper examines the effect of different mesh types on a numerical study of evaporative cooling in the chimney. This research is a follow-up study from previous research. The test specimen used is an evaporative chimney design with the addition of a nozzle arrangement in it. The main focus of this research is the study of mesh refinement, namely by applying structured mesh during the simulation process. Three types of mesh with different levels of fineness were used for the specimens. They are coarse ( mesh A), medium (mesh B), and fine (mesh C). In addition to differences in mesh, research was also carried out with variations in the level of relative humidity (RH). The RH levels used are 5, 10, and 15%. Two main parameters of evaporative cooling performance are airflow distribution and temperature drop in the chimney. Method for measuring the distribution of airflow and temperature drop in the chimney by making five planes with different heights. The results showed that the simulation with mesh B produced a good agreement data with previous studies than mesh A and C. The RH level that generated the most optimal cooling is found at 5% RH.
Stress Distribution Analysis of the Rectangular and Star-Blade for Plastic Crusher Machine Using Finite Element Analysis
Authors: Mataram Nalendro , Pranoto Sigiet Haryo , Yaqin Rizqi Ilmal , Nurrohkayati Anis Siti , Bahry Noer Aden , Saputro Nuruddin Wahyu Eko , Syach Sabaruddin 
Published: December 2021

Abstract
Recycling plastic waste can help reduce plastic waste, which is the world’s largest problem. The first solution is a plastic crusher machine, which converts plastic packaging into pellets, especially for plastics made from polyester, which is often used in bottle packaging. An integral part of the crushing machine is the crushing blade, which determines the design and analysis of the blade. The finite element analysis method is widely used in engineering analysis. Its results can provide useful information for the analysis of manufacturing processes. A rectangular blade and a star-shaped blade are the two types to consider. The analytical results obtained on the blade of the crusher machine in the rectangular shape that was given loads by 200 N, 400 N, and 600 N are 1.285 × 103 N/m2, 2.570 × 103 N/m2, and 3.855 × 103 N/m2, respectively. We obtained the displacements are 1.080 × 10-6 mm, 2.160 × 10-6 mm, and 3.241 × 10-6 mm, respectively. The maximum von mises stress result on consecutive star-shaped blades are 8.890 × 102 N/m2, 1.778 × 103 N/m2, and 2.667 × 103 N/m2. The displacement obtained are 1.211 × 10-6 mm, 2.422 × 10-6 mm, and 3.633 × 10-6 mm. The results of this analysis indicate that for the star blade, the shape is better than for the rectangular blade at the same time, and for the star blade, the stress is smaller than for the rectangular blade. Based on this simulation, the safety factor is 15, which means that it is more than 1, which means that it is safe.
Economic Analysis Development and Provider Elective Decision Model on Auto-ID Technology Investment
Authors: Nurrohkayati Anis Siti , vanany Iwan 
Published: December 2021

Abstract
In the last few years, the warehousing system use Auto Identification technology to manage the warehouse operation. Auto-ID is often used to obtain the information about amount, location, content, and condition of part or product. However, some industries still use manual warehouse management. Manual warehouse management systems usually cause some problem like inventory shrinkage and stock out. The investment and application of Auto-ID technology on the warehouse system can reduce the effect of the manual system. The use of Auto-ID technology in warehousing systems has a significant effect on the reduction of human error, the reduction of loss of goods, the accuracy of inventory stock, and can handle the product in large quantities, the speed of acceptance, and improve the delivery process. In this research, the cost and benefit analysis was carried out to assess the Auto-ID technology investments. The cost of inventory shrinkage reduction, labor and stock out, and the increase of productivity and maintenance on the spare parts warehouse management system used to analyse the cost benefit. To determine the expected NPV value in Auto-ID technology investments used Monte Carlo analysis. Furthermore, a company’s evaluation for selecting an Auto ID provider is a significant aspect. The evaluation of decision making for selecting Auto ID vendors is based on three criteria. This is referred to as many criteria decision making. Vendor performance, service after installation, and system attributes are the criteria employed in the decision-making model. Evaluation of Auto-ID vendor selection is done by using AHP. Based on the results of AHP analysis for the selection of Auto-ID suppliers, it was found that supplier PT C was the main priority (39.3%) for best suppliers, and the last priority was PT B (13.8%).