bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biomass oxy-CO2 gasification process for bio-methane production: an experimental and numerical activity
Authors: Gabbrielli Roberto , Barontini Federica , Frigo Stefano , Flori Giacomo , Fratianni Nicola , Sica Pietro 
Published: December 2022

Abstract
Biomass gasification is a thermochemical process in which the biomass is converted into a mixture of gases, called syngas, commonly utilised in thermal machines to produce electricity and heat. In the present research activity, the conventional air-gasification in downdraft gasifier is replaced by oxy-CO2 gasification technology. This strategy allows to obtain a nitrogen-free syngas, mainly composed by CO, H2, CO2 and CH4, which can be used into the synthesis of various bio-fuels like methanol or synthetic natural gas (SNG). Carbon dioxide is utilized as gasifying agent together with oxygen to mitigate the reactivity of the latter, which can lead to excessive reaction temperatures. In particular, the present work shows the preliminary results of an experimental campaign carried on utilizing a small scale downdraft gasifier (max thermal power of roughly 100 kW) fed with wood pellet and using a mixture of oxygen and CO2 as gasification agent. The experimental results have been utilized to calibrate a pseudo-kinetic model of the oxy-CO2 gasification process, implemented in Aspen Plus environment. To analyse the possibility to transform the produced syngas into methane, an additional numerical model of a methanation plant was then utilised. As a whole, the numerical analysis confirms its usefulness in predicting the performance of the gasifier, which can reach a cold gas efficiency of around 70%, while the methanation plant can achieve a production of roughly 20 kg of methane per 100 kg of gasified wood.
Three dimensional unsteady analysis of a miniaturized pressure probe for turbocharger applications
Authors: Bontempo R , Marzo E M Di , Manna M , Napolitano M 
Published: December 2022

Abstract
Downsizing and turbocharging are nowadays widely spread techniques in automotive small-size internal combustion engines aimed at reducing the specific fuel consumption without affecting the power output. Due to the device small dimensions and to the high temperature of the exhaust-gases feeding the turbine, a relevant amount of heat is customarily exchanged between the turbine and the compressor so that a classical adiabatic approach could lead to an inaccurate estimation of the performance. This paper preliminary investigates the feasibility of an experimental procedure aimed at computing the exchanged work as variation of the angular momentum via a three-hole probe located at the impeller outlet. Because of the very reduced machine dimensions, torque measurements could be difficult, as the intrusive nature of the measurement could significantly affect the accuracy of the collected data. For this reason, the influence of the probe finite-size onto the flow field is numerically analysed solving the Unsteady Reynolds-Averaged Navier Stokes equations with and without the probe installed at the diffuser inlet. The equations are closed via the k − ω SST turbulence model, while a density-based commercial CFD package is used to integrate the governing equation. Finally, the pressure distribution in the azimuthal direction is analysed to assess the probe intrusive effects which, in the proposed case, result in a 0.47% (resp. 0.69%) difference in the specific work when a miniaturized probe with a diameter of 1mm (resp. 1.5 mm) is employed.
How incoming turbulence affects wake recovery of an NREL-5MW wind turbine
Authors: Cherubini Stefania , Cillis Giovanni De , Semeraro Onofrio , Leonardi Stefano , Palma Pietro De 
Published: December 2022

Abstract
The present work aims at investigating the effect of inflow turbulence on the wake recovery of the NREL-5MW reference wind turbine. The wake produced by a utility-scale wind turbine invested by both a laminar uniform inflow and a turbulent flow, is analyzed by means of proper-orthogonal decomposition (POD). The considered turbine is the NREL-5MW at tip-speed ratio λ = 7 and a diameter-based Reynolds number of the order 108. The flow is simulated through Large Eddy Simulation, where the forces exerted by the blades are modeled using the Actuator Line Method, whereas tower and nacelle are modeled employing the immersed boundary method. The main flow structures identified by modal decomposition in both of the considered cases are compared, and some differences emerge, which can be of great importance for the formulation of a reduced-order model. Among the most energetic modes, a high-frequency mode directly related to the tip vortices is found only in the flow case with laminar inflow. In the presence of inflow turbulence, the most energetic modes are all composed by large-scale low-frequency structures filling the whole domain. We evaluate the contribution of each POD mode to wake recovery reconstructing the total flux of mean kinetic energy due to turbulent fluctuations on a closed surface enclosing the wake of the wind turbine. In the laminar-inflow case, we have found that the POD modes related to the tip and root vortices do not contribute positively to the wake recovery, but they rather sustains the velocity gradient, as already established by Lignarolo et al. (2015) for a wind-turbine model. Whereas, in the turbulent-inflow case, all the most energetic modes contribute positively to wake recovery. These results clearly indicate that inflow turbulence should be taken into account for accurately estimate the entrainment process in the wake of wind turbines.
NREL 5MW wind turbine, POD, laminar or turbulent inflow, wake recovery, turbulent kinetic energy entrainment.
Implementation of IMU sensor for Fall Detection in Dementia Syndrome Patients with Location Notification System
Authors: Yulastri  , Madona E , Ulfa S , Nasution A 
Published: December 2022

Abstract
Monitoring tool for patients at risk of dementia has been made using an IMU sensor with Location Notification System. The aim of this research is to design and manufacture a tool using the IMU sensor to identify and determine the characteristics of a person’s condition in falling for patients at risk of dementia. The research method starts from making prototypes, and measuring system performance. The results of the measurement of system performance are shown by the IMU sensor readings with an average x angle value of 175.74, angular velocity x, and angular acceleration x an average of 175.70 and 0.052 for forward fall activities. For activities falling backwards the average x angle value is 27.97, the angular velocity x, and the angular acceleration x averages 28.12 and -0.25. For activities falling to the right the average x angle value is 85.07, the angular velocity x, and the angular acceleration x averages 37.31 and 79.59. As for the activity falling to the left, the average x angle value is 32.91, the angular velocity x, and the angular acceleration x averages 32.54 and 0.62. Overall the tool can function well. Suggestions for further research, methods can be added to predict the position of the nearest hospital and police station based on the Internet of Things.
Analysis of the potential of renewable energy in fulfilling home electrical loads and charging systems for electric motorcycles in Yogyakarta
Authors: Adiyasa I W , Wijaya F D , Suteja R P 
Published: December 2022

Abstract
The implementation of renewable energy sources such as photovoltaic (PV) and wind turbine (WT) is widely applied. Indonesia is a country located in the tropics, with the potential for renewable energy sources such as solar and wind. The number of potential sources of renewable energy has an impact on the amount of energy that can be produced using PV and WT. Data on potential renewable energy sources is obtained from the NASA Prediction of Worldwide Energy Resource (POWER) database and is used for analysis of electrical energy that can be produced. The PV and WT power plants used in this analysis use a power range of 600 - 1200 Wp for PV and 1 - 3 kW for WT. The electrical energy that has been produced will be stored in energy storage in the form of a battery with a capacity of 1 kWh. The test analysis uses 6 scenarios of the number of PV, WT and batteries using a house load and charging an electric motorcycle.
Simulation and Modelling Queue of The Ship Betel Stacking Using The Anylogic: Case Study at Port of PT Pelabuhan Indonesia (Pelindo) Sunda Kelapa Region 2
Authors: Verawati K , Hadi W , Hidayatullah F N , Wahyuni A P D 
Published: December 2022

Abstract
In the midst of the development of the industrial era 4.0 to 5.0, technology plays an important role in various sectors, one of which is transportation. This concept uses science-based Internet of Things, Artificial Intelligence and Robots. The use of applications and other software is the main method for humans to carry out their daily lives, including in the transportation industry, one of which is the Port. The purpose of this paper is to create a ship queue simulation model with a betel stacking system at PT Pelabuhan Sunda Kelapa Region 2. The methodology used for modeling this queue simulation is Anylogic by conducting simulation experiments. simulation model line, the Company can determine the ship queue decision by using betel stacking. The existence of this anylogic system is expected to be able to solve various problems, create many innovations and be able to improve the quality of human resources in various activities, especially in the transportation industry sector which continues to transform until now.
ANN Activation Function Comparative Study for Sinusoidal Data
Authors: Putra Dwi Sudarno , Azmi Meri , Muslikhin  , Purwanto Wawan 
Published: December 2022

Abstract
An artificial neural network (ANN) has neurons that are interconnected. Inside the neuron, there is an activation function that determines the value issued by the neuron. There are several types of activation functions. The choice of activation function will determine the result of an ANN. This paper describes the performance comparison of several activation functions used in an ANN in processing sinusoidal signals. There are three types of activation functions being compared, those are Sigmoid, Tansig, and ReLU. The sinusoidal dataset has come from simulation data of the PMSM FOC control process. The results indicated that the Tansig activation function is the best choice for sinusoid data.
Simulation study of a 50 ps panel TOF PET imager
Authors: Pestotnik R. , Razdevšek G. , Dolenec R. , El Fakhri G. , Križan P. , Majewski S. , Studen A. , Korpar S. 
Published: December 2022

Abstract
Positron emission tomography (PET) is one of the most important diagnostic tools in medicine, providing three-dimensional imaging of functional processes in the body. The method is based on detecting two gamma rays originating from the point of annihilation of the positron emitted by a radio-labeled agent and used to follow the human’s physiological processes. In Time-Of-Flight PET, gamma rays’ arrival time is measured in addition to their position. The coincidence timing resolution (CTR) of state-of-the-art scanners is between 200 ps and 500 ps FWHM, which can significantly improve the contrast in imaging large objects. However, increasing the sensitivity of the next-generation PET scanners requires increasing the imaging device’s timing accuracy. Using the latest advances, a multichannel system with improved CTR is becoming technologically possible. Generally, 3D images from limited angle PET scanners are distorted and have artifacts. Fortunately, with improving timing resolution of PET gamma detectors, artifact-free images can be obtained even by a very simplified detector. We were studying a simple panel PET detector consisting of gamma detectors with 50 ps coincidence timing resolution. With this new concept, the price of PET scanners for imaging single or multiple organs can be drastically decreased. We evaluated different panel detector arrangements by imaging different phantoms. The reconstructed images were compared with those obtained with the Siemens Biograph Vision, a state-of-the-art clinical PET scanner. We found comparable image quality parameters of both systems when the CTR approaches 50 ps FWHM and that good CTR can partially compensate for smaller gamma detection efficiency.
Development and prototyping of the Versatile Link + optical fibre cabling plants for the HL-LHC upgrades of the ATLAS and CMS experiments at CERN
Authors: Meroli S. , Blanc J. , Di Francesca D. , Ricci D. , Slater B. , Toccafondo I. , Vasey F. 
Published: December 2022

Abstract
With the foreseen upgrades in HL-LHC, the Versatile Link Plus project was launched to develop the optical fibre links between the experiments and the counting room, in order to reach higher data rates. New fibre cabling plants have been designed in this framework for tight integration in experiment front ends and operation at higher radiation doses. Those cabling plants make use of novel multi-fibre assemblies that are tailored to the specific experiment requirements and conditions. This paper describes the design decisions that have led to the final production-ready prototypes and the related implementation of a large-scale procurement framework.
ATLAS ITk strip sensor quality control procedures and testing site qualification
Authors: Mikestikova M. , Affolder A. , Affolder K. , Beaupre S. , Beck G.A. , Bernabeu J. , Bevan A.J. , Dawson I. , Dowling A. , Fadeyev V. , Federicova P. , Fernandez-Tejero J. , Fournier A. , Gignac M. , Greig G. , Gunnell J. , Hara K. , Hirose S. , Hommels B. , Ishii T. , Jessiman C. , Johnson J. , Jones D. , Kachiguin S. , Kang N. , Keller J. , Klein C. , Koffas T. , Kroll J. , Kvasnicka J. , Lacasta C. , Latonova V. , Martinez-McKinney F. , Miyagawa P.S. , Montalbano A. , Nakamura K. , Poley L. , Rousso D. , Shah A. , Slavikova E.A. , Solaz C. , Soldevila U. , Staats E. , Stack T.L. , Stelzer B. , Tuma P. , Ullan M. , Unno Y. , Yarwick J. , Zenz S.C. 
Published: December 2022

Abstract
The high-luminosity upgrade of the Large Hadron Collider, scheduled to become operational in 2029, requires the replacement of the ATLAS Inner Detector with a new all-silicon Inner Tracker. Radiation hard n+-in-p micro-strip silicon sensors were developed by the ATLAS Inner Tracker strip collaboration and are produced by Hamamatsu Photonics K.K. Production of the total amount of 22000 strip sensors has started in 2020 and will continue until 2025. The ATLAS strip sensor collaboration has the responsibility to monitor the quality of the fabricated devices by performing detailed measurements of individual sensor characteristics and by comparing the obtained results with the tests done by the manufacturer. Dedicated Quality Control procedures were developed to check whether the delivered large-format sensors adhere to the ATLAS specifications. The institutes performing the Quality Control testing of the pre-production and production ATLAS ITk strip sensors had to initially be qualified for multiple high-throughput tests by successfully completing the Site Qualification process. The Quality Control procedures and the qualification process are described in this paper.
Development of a high-rate scalable readout system for gaseous detectors
Authors: Scharenberg L. , Bortfeldt J. , Brunbauer F. , Christensen M.J. , Desch K. , Flöthner K. , Garcia F. , Janssens D. , Kaminski J. , Lisowska M. , Lupberger M. , Muller H. , Oliveri E. , Orlandini G. , Pfeiffer D. , Ropelewski L. , Rusu A. , Samarati J. , Schwäbig P. , van Stenis M. , Veenhof R. 
Published: December 2022

Abstract
The RD51 collaboration developed the Scalable Readout System (SRS) as part of its R&D activities on Micro-Pattern Gaseous Detectors. This common multi-purpose readout system allows to read out small R&D detectors (0.2k channels) up to mid-sized experiments with multiple detectors (2.5k to 5k channels). To cope with increased demands on detectors, electronics and readout speed, a new front-end ASIC—the VMM3a—was integrated into the SRS. This led to the development of a scalable, self-triggered high-rate readout system that provides energy, space and time information of the interacting particles at the same time.
A new limited-angle CT reconstruction algorithm based on the local anisotropic total variation restoration of continuity
Authors: Xiao Yu , Zhong Wang , Li Yongcun , Hu Xiaofang , Xu Feng 
Published: December 2022

Abstract
A new limited-angle computed tomography(CT) reconstruction
algorithm based on local detail information restoration in the CT
image projection domain was proposed in this paper. The lost
projection information could be repaired with the new algorithm
called local anisotropic total variation repair method of sinogram
(LATV). According to the continuity of local gradient in sinogram,
local high frequency characteristics can be improved which are
blurred by conventional TVM. A series of numerical reconstruction
experiments were conducted to validate the new algorithm. The
overall quality of images reconstructed by new algorithm was better
than conventional TVM algorithm when quantitatively evaluated. Then,
a local region with rich details was selected in order to evaluate
the reconstruction effect of the internal details. From the
perspective of three image quality evaluation parameters, it was
shown that the local high frequency details were well
repaired. Finally, the reconstruction quality was evaluated by
actual CT experimental data. The new method also performed better
than conventional method. Therefore, the new LATV algorithm proposed
in this paper may be a new method suitable for limited-angle CT
reconstruction problems.
Carbon Emission Assessment of Bioplastics from Durian Peel
Authors: Mongkoldhumrongkul Krittaphas , Sukkanta Phatcharapron 
Published: December 2022

Abstract
Plastic is a product widely used daily and contributes to huge waste, which can cause a potential environmental impact worldwide. The production of bioplastics can lessen plastic waste while also benefiting the environment. There are still few studies examining the influence of bioplastics in different contexts. This investigation assesses the cradle-to-gate life cycle of durian peel-derived bioplastics while considering their potential to contribute to global warming as measured by their carbon dioxide equivalent (CO2eq). The steps in the evaluation process were acquiring raw materials, extracting cellulose powder, synthesizing carboxymethyl cellulose, and making carboxymethyl cellulose film. Based on the results, the entire production of bioplastics emits 76.339 kgCO2eq, and the extraction process emits the maximum CO2eq. Bioplastic manufacturing can minimize global warming by reducing humidity before the extraction process.
Sustainable Forest Governance: A New Policy Strategy in Handling Forest Fires in Jambi Province
Authors: Sundari Cici , Purnomo Eko Priyo , Mutiarin Dyah , Adrian Maisarah Mitra , Suling Cindy Fabrizia , Pratama Irfandi 
Published: December 2022

Abstract
Jambi Province is one of the areas most prone to forest destruction in Indonesia. The case of forest fires is an annual disaster that regularly occurs in Indonesia, including one in Jambi province. The problem of forest fires often occurs in Indonesia, whether human activities cause it or are caused by a long dry season. This study analyzes Sustainable Forest Governance from the point of view of the New Policy Strategy in Handling Forest Fires in Jambi Province. This research focuses on Jambi Province, one of Indonesia’s regions with the largest forest. This research method is qualitative exploratory with secondary data carried out to describe and describe the research. Data were collected from field interviews, online media, and related literature related to the research topic. The analysis technique uses the NVivo 12 plus data processing application, a qualitative document analysis tool with the help of a computer. Equipment. They are easy to use and can word-process and explore word frequency, attributes, and cases from big data. They also generate factor or sub-factor categories in journalistic and research applications related to the research topic. The study results show that the government’s program in making new policy strategies for handling forest fires in the province has several indicators, then the cooperation of actors in forest fire prevention in the region.
Spatial and Prevalence Analysis of Behavioral Non-Communicable Diseases on Soppeng Regency: Results of Health Survey 2016-2018
Authors: Basri  , Tahara Tasrifin , Ridjal Andi Tilka Muftiah 
Published: December 2022

Abstract
Behavioral non-communicable disease as a chronic disease is a health challenge in the 21st century because it is a major contributor to global mortality. Soppeng Regency, one of the regencies in the South Sulawesi region, faces the problem of the high prevalence of behavioral non-communicable diseases (NCDs) in the future. The study analyzes the spatial distribution and prevalence of behavioral NCDs in the Soppeng Regency. Primary data was obtained from the compilation of monthly reports from 17 public health centers in the administrative area of the Soppeng district. Meanwhile, spatial data was obtained from Soppeng district spatial plans (RTRW) maps, BPS of Soppeng district, RBI map, and the National DEM Image. Hypertension and diabetes data sets were applied to the prevalence rate formula and analyzed using Microsoft Office and SPSS ver. 21.0. The results showed the fifth highest prevalence rate of hypertension 2016-2018 occurred in Barang village, Jampu village, Marioriaja village, Maccile village, and Kessing village by an average of 19.19%, 3.55%, 2.73%, 6.24%, and 3.78% respectively. Meanwhile, distribution of the prevalence rate of diabetes in 2016-2018 was high in the five villages of Maccile (6.24%), Barang (5.27%), Botto (4.93%), Lemba (4.35%), and Soga (1.08%), respectively. Analysis showed variations in levels between sub-districts in the two types of behavioral non-communicable diseases.
The Strategy of Organic Farming Development for Environment, Social, and Economic Improvement from Farmers Perspective
Authors: Octorayanti M. , Mizuno K. , Setiawati S. 
Published: December 2022

Abstract
The increase in the sustainability of environmental and health awareness is a huge driving factor for the increasing demand of organic products in various countries. Thus, many countries are competing to expand organic agricultural land to accommodate market needs. However, in Indonesia, the practice of organic farming is relatively low, as indicated by the land conversion for organic production is relatively small compared to several countries in Southeast Asia. The key factors and challenges for organic farming development are explored, and an effective strategy is formulated as the main objective of this study. This study deals with a case study in Bandung Regency as one of the main agricultural producer areas in Java. A qualitative approach is employed to ensure in-depth information and analysis. This study utilized SWOT (Strength Weakness Opportunity Threat) to formulate the strategy for the development of organic farming to improve the environment, economic and social aspects. The interview and survey were conducted with a random sampling with a total of 30 respondents from a total of 87 population organic farmers. The result of the SWOT analysis shows that the S-W value is -0.29 and the O-P value is 0.04. The analysis result shown in the cartesian coordinate confirms that the most relevant strategy for Organic Agriculture Development is to enhance guidance and assistance from the government and private parties related to funding and certification, as well as the establishment of a reliable quality assurance system with the enforcement of regulations or policies related to organic farming.