bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interelectrode microwave glow discharge in atmospheric-pressure argon flow
Authors: Antipov S N , Gadzhiev M Kh , Sargsyan M A , Tereshonok D V , Tyuftyaev A S , Yusupov D I , Chistolinov A V , Abramov A G , Ugryumov A V 
Published: December 2022

Abstract
The spatio-temporal structure and plasma parameters of a new type of glow discharge—atmospheric-pressure interelectrode microwave discharge in gas flow—were studied experimentally and numerically. A multi-electrode coaxial-type cold plasma torch developed for large-area surface treatment was used as a gas discharge device. The torch was supplied with microwave power (2.45 GHz, ∼100 W) via a coaxial cable by a typical wave-guide plasmatron. Self-sustained glow discharges were excited between the round ends of the rod-like electrodes and inner wall of the cylindrical discharge chamber near the outlet. The filamentation of the discharge channel in the near-electrode regions was detected by high-speed video filming. The dendritic self-similar (fractal) character of the filaments’ structure was revealed and analyzed. The branching factor and fractal dimension of this structure were estimated as 3 and 1.1–1.3, respectively. Using discharge gas temperature T

g
= 1200 ± 100 K, as determined from the emission spectroscopy measurements, the following discharge plasma parameters were obtained from numerical calculations: electron temperature

T

e

=
1.14

eV and concentration

n

e

∼

10

21

–

10

22

m−3, conductivity

σ
∼
400

Ω

−
1

m

−
1

,

current density

j
∼

10

6

A m−2, and electric field strength

E
∼

10

4

V m−1.
Simulation-driven Wind Load Analysis and Prediction for Large Steerable Radio Telescopes
Authors: Li Shuai , Han Bao-Qing , Liu Shao-Yi , Wang Wen-Juan , Wang Ben-Ben , Zhang Xin-Yu , Wang Long-Yang , Xu Qian , Wang Na , Zhao Wu-Lin , Wang Cong-Si 
Published: December 2022

Abstract
Large steerable radio telescopes can rotate in azimuth and elevation, with various upwind postures and complex wind load characteristics. In order to

5

Corresponding authors
obtain the wind load distribution on the reflector and the wind force coefficients in different upwind postures, this work took the reflector of the QiTai Telescope in Xinjiang as the object. The wind pressure distribution, drag coefficient, side force coefficient, lift coefficient, and total force coefficient of 361 groups of reflectors with different upwind postures were calculated and analyzed by a numerical simulation method. The results show that the force on the reflector when the concave surface faces the wind is significantly greater than when the convex surface faces the wind. The surrogate models for calculating wind force coefficients were established based on the polynomial response surface model (PRSM) and regularized minimum-energy tensor-product spline (RMTS). The adjusted R-squared of RMTS is 0.98, and the root mean square error is below 0.1, which proves RMTS is significantly better than PRSM. Compared with the numerical simulation values, the absolute errors of the drag coefficient, side force coefficient, lift coefficient, and total force coefficient of the reflector with azimuth and elevation of 45° predicted by RMTS are 0.02, 0.027, 0.032, and 0.046, respectively. The relative errors are 2.42%, 2.76%, 2.23%, and 2.43% , respectively. It is proved that the RMTS surrogate model is reliable and that the predicted data can fast provide sufficient information for the wind-resistant design of the large steerable radio telescopes.
A Two-limb Explanation for the Optical-to-infrared Transmission Spectrum of the Hot Jupiter HAT-P-32Ab
Authors: Li Xin-Kai , Chen Guo , Zhao Hai-Bin , Wang Hong-Chi 
Published: December 2022

Abstract
We present a new optical transmission spectrum of the hot Jupiter HAT-P-32Ab acquired with the Carnegie Observatories Spectrograph and Multiobject Imaging Camera (COSMIC) on the Palomar 200 inch Hale Telescope (P200). The P200/COSMIC transmission spectrum, covering a wavelength range of 3990–9390 Å, is composed of 25 spectrophotometric bins with widths ranging from 200 to 400 Å and consistent with previous transit measurements obtained in the common wavelength range. We derive a combined optical transmission spectrum based on measurements from five independent instruments, which, along with the 1.1–1.7 μm spectrum acquired by the Hubble Space Telescope and two Spitzer measurements, exhibits an enhanced scattering slope blueward of a relatively flat optical continuum, a water absorption feature at 1.4 μm, and a carbon dioxide feature at 4.4 μm. We perform Bayesian spectral retrieval analyses on the 0.3–5.1 μm transmission spectrum and find that it can be well explained by a two-limb approximation of

134

−
33

+
45

×

solar metallicity, with a strongly hazy morning limb of

1134

−
194

+
232

K and a haze-free evening limb of

1516

−
44

+
33

K. This makes HAT-P-32Ab a promising target for James Webb Space Telescope to look for asymmetric signatures directly in the light curves.
Vise Kriterijumska Optimizacija I Kompromisno Resenje (VIKOR) Algorithm for Analysis as Supporting System
Authors: Prihartono Aksan Halim K , Jatnika Hendra , Muin Agus Alim , Agustini Dian , Farida Muthia , Hidayati Nur , Waluyo Ari , Rulinawaty  
Published: December 2022

Abstract
In the event of a coronavirus (covid-19) pandemic, those in need will be helped through a government aid program known as the Village Cash Direct Assistance beneficiary fund (abbreviated BLT). Because of the COVID-19 pandemic, which has spread to nearly every corner of the globe, citizens’ activities around the world have been hindered, especially those involving employment to support life’s basic needs. The local economy suffers as a result of people losing their jobs. They have no idea how they will pay for the necessities of life. So, in order to help the locals, the government set up a Village BLT fund support program. Limag Village is one of the settlements that plans to ask for help. When the final decision is made, the village head will choose from the list of households that fit the criteria. A decision support system is one option for achieving clear and exact findings based on the strategy utilized. For a ranking-based decision-support system, the VIKOR approach (Vise Kriterijumska Optimizacija I Kompromisno Resenje) is an excellent choice. In order to reduce the amount of time spent on guesswork when choosing which communities will benefit from BLT Desa money, this study aims to examine and quantify the results of decisions made using criteria that match those criteria. With the use of the following five criteria: profession (K1), number of dependents (K2), social safety net (K3), medical history (K4), and family card (K5): (K5). The results show that the VIKOR approach is able to obtain ranking values from the ten samples it was applied to..
A Novel Hybrid Multi-Verse Optimizer Algorithm for Energy-Efficient Permutation Flow Shop Scheduling Problem
Authors: Utama Dana Marsetiya , Ibrahim M. Faisal , Wijaya Danang Setiya , Widodo Dian Setiya , Primayesti Meri Dines 
Published: December 2022

Abstract
Recently, The issue of energy consumption has become an issue that is often considered, and the manufacturing sector contributes to the most significant proportion of this problem. Energy-Efficient Permutation Flow Shop Scheduling Problem (EEPFSP) is an effective way to solve this problem. This research offers a new algorithm Hybrid Multi-Verse Optimizer Algorithm (HMVO). Siz experiments are presented to minimize total energy consumption. In addition, the Genetic algorithm (GA) and Ant Colony Optimization (ACO) algorithms were used as comparison algorithms. The experimental results show that HMVO requires low iterations to solve small and medium EEPFSP cases. However, the proposed algorithm requires large iterations to solve large case problems. In addition, the HMVO algorithm is more effective than GA and ACO in solving EEPFSP problems.
Implementation and Development of Learning Vector Quantization Supervised Neural Network
Authors: Devita Retno , Zain Ruri Hartika , Syahputra Hadi , Afri Evan , Maulina Intan 
Published: December 2022

Abstract
Electricity is vital energy for the sustainability of human activities both as individuals, community groups, and the industrial world. Electricity users are increasing every year, which causes irresponsible users and does not comply with existing rules; the number of users causes the staff to find it challenging to determine whether the power used is appropriate with household needs. This study uses data on 100 electricity users obtained from PT. PLN Rayon Trade is one of the branch offices of PLN in Indonesia. The method used to classify electricity users is the Learning Vector Quantization (LVQ) algorithm using the 4-8-3 architectural model. Several input variables are used, such as the number of bills, the number of hours, the metered rate, and the class. The results obtained an accuracy rate of 72% with a time of 11 minutes 53 seconds. So it can be concluded that the LVQ algorithm with the 4-8-3 architectural model can be used to classify electricity users. However, it is not very good because the accuracy still needs to be improved.
Analysis Instruments Using Decision System Concepts
Authors: Alam Syariful , Singasatia Dayan , Sembiring Hendri , Wulansari Murwani , Suhendro Dedi , Saragih Ilham Syahputra 
Published: December 2022

Abstract
Discipline, Innovation, and Work Environment were examined in this study to see how they affected employee performance at the Simalungun District Forest Service. The study’s participants and sample were Dinas Kehutanan Kabupaten Simalungun’s State Civil Servant (ASN) employees, and questionnaires were distributed to up to 106 of them using quantitative methods and data collection procedures. Work environment, discipline, and innovation are the dependent and independent factors, respectively (Employee Performance). The Classical Assumption Test (Normality Test, Multicollinearity Test, Heteroscedasticity Test) and Hypothesis Testing are both used to assess testing instruments’ validity and reliability (Coefficient of Determination R2, F test, t-test). Fcount>Ftable (2.533> 2.30), according to this study, indicates that the independent variable (X) has an impact on the dependent variable (Y). The discipline variable (X1) has only a little effect on employee performance when the tcount ttable is (1.5081.983). (Y). A partial absence of influence on employee performance (Y) is found for the innovation variable (X2) when the value is set to tcountttable (-0.9541.983). Work environment (X3) has just a limited impact on employee performance (Y) when using tcountttable (-1.8631.983).
Feature Extraction and Naïve Bayes Algorithm for Defect Classification of Manalagi Apples
Authors: Lutfi Moch. , Rizal Hasan Syaiful , Hasyim Mochammad , Amrulloh Muhammad Faishol , Saadah Zulfatun Nikmatus 
Published: December 2022

Abstract
Apple is one of the trees that is widely cultivated and grows in subtropical areas. In Indonesia, there are many areas that cultivate apples, including Malang, Batu, Nongkojajar. One way to increase the economic value of apple farmers is by sorting them before sending them to the market. This is important to do in order to make it easier to determine the quality and selling price of manalagi apples. Most apple sellers will sort the apples manually which results in high costs, difficulty, and inconsistency in the sorting process. So far, the classification of defects in apples has been done using the naked eye. This also requires expertise or experts in distinguishing which apple defects are. However, experts have limitations, not all apple defects can be recognized or classified. In addition, each researcher only uses one image feature, namely the texture feature. In this study, using an image dataset of Manalagi apples totaling 337 images, where there are 184 images of good apples and 153 images of defective apples by extracting features on apples, it can be concluded that the nave Bayes method can be used to classify defects of manalagi apples based on texture.
Image Segmentation using Color Value of the Hue in CT Scan Result
Authors: Simbolon Sedia , Jumadi Juju , Khairil K , Yupianti Y , Yulianti Liza , Supiyandi S , Windarto Agus Perdana , Wahyuni Sri 
Published: December 2022

Abstract
Object recognition with visual computer techniques is a process necessary to detect different objects in a three-dimensional image to get precise results. Color extraction process Red Green Blue (RGB), Red, Green, Blue (HSV) and other color spaces can produce high accuracy and minimize the number of parameters to speed the computing process. In this study the diagnosis of pneumonia was based on a CT scan of the lungs in the color image segmentation process. The removal of color features is done by using the HSV color segmentation method to classify the pneumonia in CT scans, which makes it possible to detect an image segmenting object as a blob. The color sample generates a value that is the reference point for the filter range during the segmentation process, based on the test results. In this process, it is clear how many objects are found as a color-based pneumonia diagnosis by changing the HSV and RGB thresholds.
Convolutional Neural Network and Deep Learning Approach for Image Detection and Identification
Authors: Cynthia Eka Pandu , Ismanto Edi , Arifandy M. Imam , Sarbaini S , Nazaruddin N , Manuhutu Melda Agnes , Akbar Muhammad Ali , Abdiyanto  
Published: December 2022

AbstractThere are many different varieties of clouds, each with a unique set of properties. As a result of this variability, it is difficult to discern these sorts of clouds. A database’s objects must be categorized using data categorization in order to be organized into multiple categories. This study made use of the Cirrus Cumulus Stratus Nimbus (CCSN) dataset, which falls under the low cloud category and includes photos of Cumulus (182 images), and Cumulonimbus (242 photographs), and Stratus (242 images) (202 images). A fast R-CNN detector with feature extraction = Resnet50 was used to create a system for classifying cloud kinds. A significant amount of training time is saved by the quicker R-CNN due to its lack of a selective search algorithm. Training loss values for cloud images had an average of 0.9030 from the first epoch through the last one. Using the Faster R-CNN object detection method with the Resnet50 architecture, cloud photos were added and the accuracy was 94.12 and the average precision was 0.76. - Faster R-advantages CNN affect the architecture utilized and are marginally influenced by the algorithm choice, however CNN with Resnet50 is superior overall where these advantages are held.
Brain Image Decomposition on Image Alteration
Authors: Rahmawati Sri , Achmad Daengs GS , Putra Teri Ade , Damanik Abdi Rahim , Wanto Anjar 
Published: December 2022

Abstract
Image transformation is essential to explore and find out specific information that does not exist and has not been previously known from an image, such as pixels, geometry, size or colour. Therefore, this paper aims to analyze the image transformation by generating the value of the thresholding method from low to high in image segmentation. The segmentation process works based on two-colour models, namely HSV and RGB colours. Image segmentation problems occur when an object has more than two colours. There is lighting that affects the condition of the thing, so it is proposed to change the threshold value from low to high to compare the segmentation results of each given value to determine the optimal threshold value. The image data used is a brain MRI image from the website www.hipwee.com. The Matlab 2019a application is used to assist the analysis process. Based on the analysis results, in this case, the smaller the HSV and RGB threshold values, the segmentation of the detected image results is not detailed and the less precise, and vice versa. The best Brain MRI Image Segmentation results when using a threshold value of HSV=0.5 and RGB=5.
A Design And Build A Robot Vacuum Cleaner
Authors: Rapa Charnia Iradat , Dephtios Erick , Mariangga Chrisna , Patiung Naomi 
Published: December 2022

Abstract
In this paper design of the robot Vacum Cleaner, based on the Arduino Mega 2560 is the can walk and vacuum the floor. In this study, a microcontroller is used to regulate the work of the robot based on data obtained by six sensors, and the robot’s movement is driven by motor driver to the left and right, forward and backward, where the input is given through the keypad in the form of dust and garbage thisness, provided that if the dust thickness is (30mg)/(mm)3 then the LCD will display binary logic “1”, and if the Dust thickness is ≥0,30 mg/mm3then the data will be displayed on the LCD is binary logic “0”. In designing this robot, four ultrasonic sensors are needed as proximity sensors, also needed a sensor to detect the thickness of the dust, as well as an infrared sensor as a sensor to detect thick garbage. In testing the vacuum cleaner robot, the four ultrasonic sensors, S1, S2, S3, S4 are designed as the cardinal directions, north south, east west, as input data on the microcontroller, and two motor drivers as microcontroller outputs that can move forward and backward, forward turn left, forward turn right, backward turn left, backward turn right as an output to move the robot vacuum cleaner. When the vacuum cleaner robot moves, the dust sensor will detect dust, if the dust thickness is 0,30 mgmm3, the LCD is logic “1”, the sensor will. Work and the vacuum cleaner will sweep the flour while sucking, if the dust thickness ≥30mgmm3, infra red sensor will work with a logic LCD display logic “0”, then the motor driver will stop. The vacuum cleaner does not suck up dust or thick garbage.
Realtime Monitoring Design of Solar Cell Power Plant Based on IoT
Authors: Lobo Eodia T. Sedan , Takaya Poisson Rownaldy , Paledung Ivanto Bin 
Published: December 2022

Abstract
Solar panels are electricity generators by utilize sunlight. Monitoring of electrical energy produced by solar cells is needed by consumers to find out how much power is produced. Previously, monitoring was done by looking at the voltmeter and ampere meter indications. This study was designed a prototype to monitor current, voltage, and light intensity through the Arduino Uno-based internet network. For the solar system panels, AC and DC current and voltage sensors are used, as well as calibrated light sensors, then a data transmission system integrated into the Blynk application, designing an Arduino Uno microcontroller-based system with the Blynk application on a Smartphone via a wi-fi communication module (esp8266). Parameters DC current and connection, AC current and connection. The highest light intensity is obtained at PLTS when exposed to sunlight and load at 02:30 and the lowest is at 09:30 due to weather. The results obtained are measurements from each sensor, used directly and displayed on the Blynk Application, monitored remotely from the internet network.
Hot Water Extraction on Aspal Buton
Authors: Saleh Muhammad , Yani Setyawati , Nurjannah  
Published: December 2022

Abstract
Asphalt demand for road maintenance in Indonesia is increasingly higher, which is by approximately 1.2 million tons each year. However around 2/3 asphalt functioned now is still imported. Buton asphalt can be straighthly used for road coating. Yet, it goes in line with the increasing cost of the world oil. Due to the oil substance over this kind of asphalt (i.e. buton asphalt), it widens more chances to cultivate this asphalt into oil. Extraction is done by process hot water extraction and solvent extraction. This research tried to determine the optimum yield bitumen from asphalt buton extraction process with hot water solvent and n-heksan solvent with the help of strirring. Asphalt which is used as variabel from asphalt buton. The operation variables were temperature, time, and the amount of asphalt buton mixed with hot water solvent. The result suggested that using hot water solvent didn’t generate extract result because the low of temperatur and extraction tension. Therefore by using n-heksan solvent generate % yield bitumen. For rasio of 1 : 5 with a temperature of 60 °C, a time of 30 minutes 2,12 %, a ratio of 1 : 5 at a temperature of 90 °C extraction time 30 minutes 4,84 %, ratio of 1 : 20 at 60 °C, 30 minutes 3,07 %.
Principal Component Analysis Application for Determining Factors Influencing Drainage Construction Process in Residential Areas
Authors: Amalia Yulisa , Fatimah Eldina , Oktaviani Cut Zukhrina 
Published: December 2022

Abstract
Banda Aceh experiences flood-related problems yearly, specifically during peak rains, which inundates several residential areas and municipal protocol roads. One of the most effective ways of resolving this problem is by constructing drainage channels in settlements. However, there are various problems associated with using this process in the survey, planning, and construction stages. During the development process, numerous obstacles are experienced from various factors, thereby leading to less optimal planning and implementation process. Therefore, this research aims to determine the dominant factors influencing drainage construction in residential areas in Banda Aceh City, Indonesia. This is a quantitative research with data collected through a questionnaire from 200 respondents involved in constructing residential area drainage in Banda Aceh City from 2017 to 2020. The factors evaluated were pre-planning, planning, and implementation, which were analyzed using Principal Component Analysis (PCA). The results showed that the factors influencing the drainage construction of residential areas in Banda Aceh City consist of implementation barriers, implementation discrepancies, pre-planning, planning, land acquisition, and community involvement with a total variance of 70.449%, while the dominating factor has a variance of 31.030%.
Environmental Architectural Design during the Pandemic Era: Office Buildings as a Case Study
Authors: Gomaa Esraa M. , Kamar Marwa , Madkour Mai 
Published: December 2022

Abstract
Environmental Architecture immortalizes buildings and realizes their ability to cope with sudden changes for several decades, Infectious diseases played a huge role in shaping the built environment. Throughout history, The function of those areas has changed and the interior is redesigned as well as the city, planning, and infrastructure, as occurred in the 14th century at the time of the plague’s spread(1). Pandemics come from spreading by humans while they use the spaces as a medium in their daily activities. Therefore, spaces should play as an antiviral medium to ensure well being and health today. The world is panicking at the discovery of a new pandemic that will lead to the closure of most of the outdoor activities in the inhabitant life, and the built environment has always shown the ability to develop after a predicament. One of the most common questions by users is what will happen in buildings that host roaming, mixed exploration, and spontaneous social interaction, such as office buildings? This research aims to adapt the design of the office buildings that host mixed uses to be an anti-pandemic environment to decrease the case of a pandemic; by integrating the science of medicine, architecture, urbanization, knowledge of modern materials, methods, and theories. As well as looking forward to advanced technology using analytical methodologies by adapting the analysis of already existing buildings altered architecturally to reduce the spread of pandemics through which a proposal can be developed to enhance the performance of office buildings in the time of a pandemic.