bluuebunny/crossref_metadata_2025_split huggingface dataset:
Detection of quantum steering for the generalized Werner states via artificial neural networks
Authors: Pan Guo-Zhu , Zou Shu-Ting , Yang Ming , Zhou Jian , Zhang Gang 
Published: December 2023

Abstract
Quantum steering is an important nonlocal resource and has a wide range of applications in quantum information processing. Although a lot of steering criteria have been proposed, it is still very difficult to efficiently detect quantum steering in experiment. Here we employ machine learning techniques to tackle the problem of quantum steering detection in two-qubit system. The quantum steering and un-steering inequalities are combined together, so as to construct quantum steering classifiers for the generalized Werner states via artificial neural networks. More steerable and unsteerable quantum states can be identified by the classifiers proposed here than by the quantum steering inequality or un-steering inequality, which provides a new way to detect steering with only partial information of the given quantum states. We consider two types of artificial neural networks, one is the single-layer perceptron and the other is the multi-layer perceptron. The result shows that the multi-layer perceptron outperforms the single-layer perceptron in terms of accuracy. Compared with the existing quantum steering criteria, our methods do not require the whole information of the quantum state, and the steering of it is detected by using state-independent measurements, so it is easy to realize in experiment.
Investigation on the limits of type 1 diabetes therapy automation using insulin pumps
Authors: Nowicki T , Piekarski R 
Published: December 2023

Abstract
Type 1 diabetes is an incurable chronic disease that usually has its onset in childhood. The disease means that the patient’s body irreversibly loses its ability to produce the insulin hormone. Since the lack of insulin in the organism always leads to death, the therapy primarily consists in supplying the hormone from the outside inright doses and in the right time. Administration errors can result in poor mood, health complications or even death. The introduction of insulin pumps for common use as basic devices for insulin delivery has significantly improved the quality of the therapy, and what follows, the physical and mental comfort of patients. It is still easy to get an opinion that these devices completely automate the therapy process, but this is not true. The aim of this research was to determine the possible level of the automation of the type 1 diabetes therapy solely based on an insulin pump. First, the principle of operation of typical modern insulin pumps was described. This became the basis for the development of a special biocybernetic model of a patient with diabetes. Then, the model was used in numerous computer simulations whose output was confronted with historical data obtained from real patients. The research confirms that the use of a typical modern insulin pump alone does not fully automate the therapy of type 1 diabetes. Nevertheless, possible methods could be identified to achieve a higher quality of treatment and to find opportunities for additional automation. These methods can be considered as an alternative to the socalled artificial pancreas.
Methodology and Realization of Indoor Pass-by Noise measurement for passenger cars
Authors: Gaszner Zsolt , Vehovszky Balázs 
Published: December 2023

Abstract
Nowadays the protection of human life is extremely important, and for this purpose the vehicles must go through a homologation process before the introduction to market. If we look at the acoustical requirements, one of the most important test procedures is the Pass-by Noise (PBN) measurement, which defines the noise emission limit value, when the observer stands beside the vehicle passing him by. There are two versions: Exterior (or Outdoor) and Indoor (or In-room) Pass-by Noise (IPBN) measurement. Former is presently the only accepted method for homologation; however, environmental and weather conditions could strongly influence its feasibility. For this reason, IPBN got into focus, with better suitability for development purposes and the prospect, that it will be accepted later for the homologation process too. This paper focuses on the IPBN method: gives an overview on the setup and presents the details of a realized test-measurement campaign. Beside the 2 most important points: the measuring room and the position of the sensors, the measurement devices, vehicle location and connection to measurement system, the measuring program and the whole process are presented together with some preliminary results related to different characteristics of the vehicle.
The effect of the preload determination process on dynamic mechanical properties
Authors: Schweighardt A , Vehovszky B , Feszty D 
Published: December 2023

Abstract
NVH simulation and experimental methods are getting more and more important because of the increased customer needs for reliability and comfort. In order to obtain appropriate NVH simulation results accurate material properties have to be provided as input parameters. In case of the dynamic mechanical property determination of acoustic viscoelastic foams the results may vary greatly depending on the measurement settings and the quality of the measurement. This study evaluates the effect of the preload determination process on dynamic mechanical properties and the repeatability of the dynamic compression tests. Finally, conclusions are drawn and suggestions are made for the settings.
Efficient NVH Analysis of Electric Motors by Means of 2D Spectral Decomposition of Airgap Forces
Authors: Gungl Szilard , Kimpian Tibor 
Published: December 2023

Abstract
The growing popularity of hybrid and electric vehicles has created a need for quieter electric motors. This has led to a focus on designing electric machines with reduced audible noise. Estimating the emitted noise requires complex calculations, but analyzing electromagnetic forces alone can provide valuable insights. Electric motors’ simple cylindrical structure allows for decoupling excitation forces and mode shapes, which are closely related. By representing the internal forces in a complex-valued matrix and calculating its 2D Fast Fourier Transform (FFT), we can obtain a comprehensive 2D spectrum that reveals temporal and spatial frequencies. The method enables individual analysis of unique harmonic components. This paper discusses the mathematical representation of forces, their spectra, and the relationship between force harmonics and mode shapes. Industrial examples of electric power-assisted steering systems demonstrate the practical application of this approach.
A measurement method for the estimation of the absorption characteristics of finite-sized porous absorbers
Authors: Firtha Gergely , Fiala Péter 
Published: December 2023

Abstract
The estimation of sound fields generated inside enclosures has gained increasing interest in the recent years, both for acoustic design purposes and virtual reality applications. Numerical simulation methods require detailed information on the impedance/absorption characteristics of the enclosing surfaces. The currently available measurement methods are only capable of obtaning the point-like impedance of locally reacting surfaces. We present a new measurement technique to characterize extended reacting absorbing surfaces. The measurement is done by scanning the surface with a PU-probe, and the asborption characteristics are obtained by a Helmholtz-integral based postprocessing step.
An Examination of Component-Based TPA Performance and Feasibility for Steering Motors
Authors: Balogh Cs. L. , Kimpián T. , Ungvári T. 
Published: December 2023

Abstract
The swift progression in the automotive sector has spurred the demand for electric power-assisted steering systems, heralding a transformation towards a more effortless, fluid, and pleasurable driving experience. However, the inherent generation of substantial noise levels within the vehicle’s cabin during the operation of these systems, can compromise the comfort of occupants, underscoring the criticality of acoustics analysis in the advancement of auxiliary systems. As long-established tools for Noise, Vibration, and Harshness (NVH) diagnostics, Transfer Path Analysis (TPA) techniques are central to studying noise propagation within vehicles. Component-based TPA, with its strength in identifying interface forces in mechanical structures, has gained a foothold in the industry due to its numerous advantages. We aim to shed light on the individual acoustic properties of the electric motor, thereby gaining a more nuanced understanding of the system’s behavior. We first lay out a brief theoretical background on relevant TPA methods, followed by the presentation of our findings from experimental studies. This paper continues our commitment to advancing the precision and practical use of TPA methodologies in automotive system analysis.
Methods to describe acoustic qualities of vehicles in stationary position
Authors: Fürjes Andor T 
Published: December 2023

Abstract
Datasheets or brochures of cars or trims generally do not contain any relevant acoustic data. This is odd, because acoustic qualities of cars are getting more important for customers. From engineering point of view, this is even stranger, because a lot of engineers are working hard to understand, control and shape acoustic qualities of cars during product development. After a disappointing purchase, the author decided to explore how acoustic qualities of cars can be measured and compared by simple means. NVH in most cases cares about qualities of cars in motion, but many acoustically relevant features can be looked at in stationary position. The paper presents the motive, suggested methods of measurements and evaluation with suggested practice in the future. Measured attributes include sound isolation of the cabin, noise level of the ventilation system, cabin intimacy and response of the audio system.
Worldwide trends on hydroxyapatite from animal waste for biomedical applications – a bibliometric analysis (2012-2022)
Authors: Hussin M S F , Idris M I , Abdullah H Z , Azlan K A , Mohamad E 
Published: December 2023

Abstract
Hydroxyapatite plays a crucial role in the sustainable development of biomedical applications in recent years. Publication related to hydroxyapatite as filler for biopolymers has increasing trend with the expanding research output. Based on Scopus database, a bibliometric analysis was conducted to characterize the body of knowledge on hydroxyapatite for biomedical applications between 2012 and 2022. Bibliometric methods and knowledge visualization technologies were implemented to investigate the publication diversion. Analysis using bibliometric analysis found that 2,023 papers were determined with the keyword “hydroxyapatite” and “biomedical applications” between 2012 and 2022. The number of publications that relates to them has increased almost three-fold between 2012(99) to 2022(289). India, China, Malaysia, and the United States are the most productive countries, while Periyar University and University Politehnica of Bucharest are the most important institutions related to hydroxyapatite and biomedical applications. Ceramics International is the most productive journal followed by Materials Science & Engineering C. Bibliometric analysis would be a great assistant in giving scientific insight to support desired future research works, not only associated with biomedical applications.
Markov chain analysis to predict natural disasters in the Province of Bangka Belitung Islands as part of preventative measures to prevent environmental damage
Authors: Dalimunthe D Y , Fahria I , Wahyuni D 
Published: December 2023

Abstract
Bangka Belitung Islands Province is a province which is famous for its beauty and natural wealth. In addition to its natural beauty and wealth, this province has disaster-prone areas. Based on the results of the 2021 Indonesian Disaster Risk Index (IRBI) measurement, the Bangka Belitung Islands Province has the second highest risk class in Indonesia with a value of 160.98. Therefore, a study is needed that aims to determine the prediction of natural disasters in the Bangka Belitung Islands Province as a preventive measure to prevent environmental damage. The analytical method used in this research is the Markov Chain method. The data used in this study is secondary data obtained from the official website of the National Disaster Management Agency (BNPB) from 2017 to 2022 with several types of disasters, including floods, landslides, tornadoes, forest and land fires, and natural disasters others (missing persons, house fires, drowning persons, etc.). Based on the results of calculations using the Markov Chain concept, it can be concluded that the possibility of flooding in 2023 is 31.46%, landslides are 7.73%, tornadoes are 43.81%, forest and land fires are 14.32%, and other disasters of 2.69% with a Mean Absolute Error (MAE) of 0.356 and a Mean Square Error (MSE) of 0.17.
Variation Of Air Speed On Energy-Saving Stoves With Waste Coconut Oil Frying Getas
Authors: Setiawan Yudi , Saparin  , Ariksa Jeri , Zamziri  , Wijianti E S 
Published: December 2023

Abstract
Waste coconut oil (WCO) from brittle draining can be used as fuel for multifuel stoves and can be used to boil water. Combustion air velocity is one of the factors that affect the combustion process. Air velocity in a multi-fuel stove with WCO fuel greatly affects the character of the fire produced. The research was conducted with the aim of obtaining the character of the fire and the temperature of the water boiling process at variations in air speed and the length of the WCO combustion flame. This research process was carried out with a multifeul stove by measuring the temperature and boiling time of 0.5 liters of water using variations in air velocity of 10 m / s, 12 m / s and 14 m / s by using 20 ml of WCO for each test. The results at a speed of 14 m / s tejadi the highest flame this occurs high air flow velocity causes a faster temperature rise. The greater the air supplied will accelerate the oxidation process, so that the fuel decomposition process will be faster.
One decade of temperature change at the North Pole and South Pole using ANN backpropagation algorithm
Authors: Syaharuddin  , Yasmin Yuli , Ibrahim Malik 
Published: December 2023

Abstract
Global warming is an event in which the average temperature of the atmosphere, ocean and land rises. Changes in atmospheric temperature cause changes in the physical conditions of the atmosphere to become unstable, causing anomalies in weather parameters that cause climate change. In the last decade there have been temperature changes in the North Pole (Greenland) and the South Pole (Antarctica). The impacts caused by temperature changes are melting ice sheets, rising sea levels, extinction of species in large numbers, people living on the coast are threatened by tidal floods, while small islands can sink. To anticipate temperature changes, a model is needed that can forecast air or temperature conditions using Artificial Neural Network with Backpropagation method using Matlab software media. Data obtained from Data Access Viewer of NASA. After training and testing the data, the average value of the prediction results for the south polar region (Antarctica) is -47.910C with a Mean Square Error (MSE) value of 0.0015. Meanwhile, for the North Pole region (Greenland), the average value of the prediction results is -22.410C with an MSE value of 0.0069. By looking at the average value of the prediction results, it can be concluded that the temperature change for the South Pole region (Antarctica) is higher than the temperature change for the North Pole region (Greenland).
Comparison of coastal wind speed in Southeast Asian Countries using ANN backpropagation algorithm
Authors: Syaharuddin  , Muharani D R , Ibrahim M , Mandailina V 
Published: December 2023

Abstract
This study aims to analyze the neural network backpropagation (ANN-BP) algorithm in seeing the development and comparison of wind speed. We estimated the wind speed of coastal areas with a case study of five countries in Southeast Asia. We used data for the last 10 years in the form of monthly data. The ANN-BP architecture uses input layers, three hidden layers, and one output layer with 12-25-10-1 architecture. From the simulation results in the training stage, we obtained information that the data model that is closest or follows the wind speed pattern with the smallest MSE value is the coastal area in Thailand with an MSE value of 0.00012 in the training stage and 0.00011 in the testing stage. Then, we also obtained that the average prediction of wind speed on the coast of Brunei Darusslam obtained the smallest value compared to other countries.
A new insight on relative permeability modifier as conformance control in carbonate reservoir
Authors: Raya S A , Saaid I M 
Published: December 2023

Abstract
The primary issue of high-water cuts in exploiting carbonate fields poses significant challenges and requires an immediate solution. The approach to tackle the root cause of this problem is reservoir conformance control. Conventional conformance control treatments, such as polymer-based materials, are ineffective and incompatible with the unique properties of carbonate reservoirs. Textural heterogeneity in carbonate leads to heterogeneity in the distribution of storage and flow properties that may govern changes in saturation patterns. The percolation of gas-water flow in carbonate highly depends on the pore structure. Conformance control refers to managing fluid movement within a reservoir to optimize production and reduce unwanted fluid production. The major challenge of water conformance control for carbonates using chemical treatment is the compatibility of the polymer system with the rock and fluid settings. This paper reviews current research on conformance control methods, including chemical and mechanical techniques. The effectiveness of various conformance control methods was evaluated based on their ability to improve sweep efficiency, reduce water production, and increase hydrocarbon recovery in different reservoir types. The review also discusses the challenges of implementing conformance control techniques, such as formation damage and fluid mobility issues. Overall, the paper concludes that successful implementation of conformance control strategies requires a thorough understanding of reservoir characteristics and planning to ensure optimal results. The findings of this study provide valuable insights into developing effective conformance control techniques that can improve hydrocarbon recovery and optimize reservoir performance. The results of this study provide critical insight into using efficient and operationally low-risk materials to reduce water cuts in the strong water drive carbonate reservoir.
A system dynamic perspective in efforts to improve the income of independent palm oil farmers in Regency X through changing roles in the palm oil supply chain
Authors: Soehadi G , Suripto  , Alkadri  , Maninggar N , Erliza A , Maulidya D 
Published: December 2023

Abstract
At present, independent palm oil (PO) farmers are expected to change their roles in the palm oil supply chain, not only being producers and sellers of Fresh Fruit Bunches (FFB) but also able to generate added value by processing FFB into CPO for renewable energy resources. This research aims to improve the income of farmers based on changing roles through strategies using system dynamic modeling. The impacts observed are the number of labors based on a proxy of government revenue and GDP, labor income, and benefits obtained. Scenarios to improve the income of farmers projected over the next 10 years are selling FFB to Farmer’s Cooperatives that own palm oil mill(s) and other palm oil mill(s). Each scenario has 3 sub-scenarios: Business as Usual, Optimist and Environment. With the addition of new plantations of 5.7-7% per year, CPO yields of 20%, and using the palm oil mill of 30 tons/hour owned by Farmers Cooperative, the income of farmers can be improved. Recommendations to attract more farmers to become members of Farmer’s Cooperatives include funding for implementing Good Agricultural Practices, buying FFB from Cooperative members at transparent prices based on mutual agreements, and providing assistant workers for farmers.
Utilization of andesite stone waste and fly ash as geopolymer pavement block materials
Authors: Nugroho T , Salsabila M A , Wardani M L D , Otivriyanti G 
Published: December 2023

Abstract
Utilization of andesite stone and fly ash waste to be used as pavement block products has been carried out. The aim of this research is to utilize the residual waste of andesite stone and fly ash handicraft production as environmental building material products. The stages of this research included experimental design, material analysis using the XRF and XRD methods, testing prototypes and making pavement block prototypes. The experimental design used for the most optimal pavement block composition was the ratio of aggregate to binder of 65:35 with 14M NaOH. The water absorption test for pavement blocks with a composition of 65:35 14M is included in class A quality for a curing time of 28 days (SNI 03-0691-1996) while the converted compressive strength value is included in the quality between A and B for a curing time of 28 days. Pavement block prototypes printed in the form of square pavement 20x20x8 cm or rectangle 22x11x6 cm require 1 hour of mixing time to finish printing. The results on manual prints are 4 square pavement and 4 rectangular pavement with 36 kilograms of material.
The PROPER program evaluation to support the development of a national life cycle inventory database: recommendations
Authors: Yanuar A I , Nadirah  , Rustianto B , Bahua H , Murti Z , Herdioso R , Kurniawati I Z , Wardani M L D , Ariyani N R , Sani A W , Febriansyah H , Ramdhani T I 
Published: December 2023

AbstractThe quality and quantity of unit process datasets in the Life Cycle Inventory (LCI) database directly affect the reliability and accuracy of Life Cycle Assessment (LCA) study results where the data is used. Research has shown that data inventory management takes up 70-80% of LCA work. Using available datasets can improve efficiency in carrying out inventory. However, the availability of datasets for the Indonesia region still needs to be improved. Since 2021, the government has issued the revision of regulations related to corporate environmental performance known as PROPER. This research aims to recommend which industrial sectors should be prioritized for a national LCI database development based on an analysis of PROPER 2022 ratings, which company submitted LCA reports. This research concludes that the priority for developing the national LCI database is the oil and gas, electricity, mining, chemical, cement, food & beverages, and plantation sectors. This adds a new perspective to the development of the national database as it allows available resources through the implementation of the PROPER program.