bluuebunny/crossref_metadata_2025_split huggingface dataset:
Impact of shear forces on variable cross section shaft stiffness
Authors: Tenev Stefan 
Published: December 2020

AbstractInfluence of shear forces is presented in this paper for static analysis of a shaft with variable cross-section. A stiffness matrix method is used to evaluate displacement and reaction forces on the shaft in regard to the slope deflection equations. The Timoshenko beam theory is addressed according to the shear coefficient and the shear correction factor. Bending moments are calculated.
Sound level study of a hybrid car
Authors: Staneva G , Dimitrova K , Ivanov R , Kadikyanov G 
Published: December 2020

Abstract
One of the main reasons for the urban noise are the cars. When the hybrid cars are moved in low-speed mode, reduced noise is supposed. In the presented paper have been made comparative analysis according to standard methods of the external and internal sound levels of a hybrid car. The experiment at different speeds in two modes – using ICE and using electric traction were carried out. The results of the measurements are visualized in graphs and tables. They show variation of external and internal sound levels at different speeds in separate octave bands. Spectral analysis at each speed is done. The results show changing of sound level vs speed and noise predominant maximums at respective frequencies.
Investigation of the electromagnetic field in electric and hybrid cars
Authors: Hristov R , Stefanov S , Kostov P 
Published: December 2020

Abstract
Electric and magnetic fields are present everywhere electricity flows. In electric vehicles, passengers sit very close to electrical system with significant power, usually for significant period of time. The relatively high currents achieved in these systems and the short distance between power devices and passengers mean that the latter are exposed to the relevant magnetic fields. In view of this, it is important to study the values of electromagnetic field parameters on board electric vehicles to ensure compatibility with international standards. The measurements were performed inside the four conventional vehicles under the standard condition. Data of international and Bulgarian standards for safe levels of electromagnetic fields are given. After the measurements, it was established that these levels were not exceeded.
Computer-Aided Detection (CAD) for COVID-19 based on Chest X-Ray Images using Convolutional Neural Network
Authors: Pratiwi NK Caecar , Ibrahim Nur , Fu’adah Yunendah Nur , Masykuroh Kholidiyah 
Published: December 2020

Abstract
Covid-19 has spread throughout the world and has been declared as a pandemic by the World Health Organization (WHO). The disease was discovered by the end of 2019 in Wuhan- China. The number of deaths continues to surge sharply and spread to many countries. Covid-19 has sent billions of people on earth into lock-down when health services struggle to cope. A swift and reliable Covid-19 diagnosis system is needed, to direct the patient to the appropriate treatment and prevent the disease dissemination. During this time, we are familiar with rapid tests and Real-Time Polymerase Chain Reaction (RT-PCR) as the procedure of Covid-19 detection. Both of these procedures tend to be impractical and require specialized laboratories that are arranged in such away. It can also take several hours to wait for the amplification process until the results are known. In this study, we introduce a Covid-19 detection system based on Chest C-Ray images using Convolutional Neural Network (CNN). The dataset consists of 1000 images, 500 images each for positive Covid-19, and Pneumonia. The CNN model that was designed consisted of three hidden layers, a fully connected layer with sigmoid activation. The evaluation was conducted to determine the performance of the proposed model using matrices of precision, recall, F1, and accuracy. The experimental results show that the proposed method provides precision, recall, F1 was 1 and 100% accuracy, respectively. This research is expected to be tested in field validation, to help the medical authorities for clinical diagnosis.
Cholesterol Level Detection Through Eye Image Using Fractal and Decision Tree
Authors: Sari Dian , Raharjo Jangkung , Novamizanti Ledya 
Published: December 2020

Abstract
Cholesterol is a natural substance with physical properties of fat but has a steroid group. High cholesterol levels will cause hypertension, coronary heart disease. Cholesterol levels can now be detected through eye images. This research produces a cholesterol level detection system with input in the form of iris images. First, the image is resized, converted to grayscale, and cropped by the system. Then feature extraction is done by the fractal method, which has characteristics that can explain dimensions in non-integers. The last stage is a classification using the decision tree method because it can simplify a complex decision-making process to be more specific. Eye images are classified into three, namely cholesterol, cholesterol risk, and no cholesterol. In total, there are 105 images, consisting of 63 training data images and 42 test data images. The result is 95.23% accuracy, 90.47% precision, 100% recall, and 40 ms computing time.
Identification of Foot Posture using Foot Posture Index-6 (FPI-6) based on Image Processing
Authors: Hanifan Hasya Azqia , Novamizanti Ledya , Mukhtar Husnaeni 
Published: December 2020

Abstract
Legs and ankles have an important role in daily life for activities. Unconsciously often the leg posture becomes abnormal due to the bad habits, so the risk of injury. Assessment of the type of leg posture can be done by various methods, both uni-planar and multi-planar. This study developed the FPI-6 method as a multi-planar tool based on image processing. The data used are 30 reference data and 20 test data from the age of 19-23 years. The results of this study are image processing systems that can identify the type of leg posture automatically quickly and accurately.
Simple Correlation Between Weather and COVID-19 Pandemic Using Data Mining Algorithms
Authors: Fadli Ari , Widhi Nugraha Azis Wisnu , Aliim Muhammad Syaiful , Taryana Acep , Kurniawan Yogiek Indra , Purnomo Widhiatmoko Herry 
Published: December 2020

Abstract
Currently, Indonesia is still struggling against the Coronavirus, the number of cases of the Coronavirus is increasing every day. The virus that began to attack around December 2019 has become a pandemic and is causing serious problems because there is still no vaccine to prevent transmission. The Government of the Republic of Indonesia as the party responsible for this pandemic has made various efforts including the lockdown method in the form of a Large-Scale Social Restriction (PSBB) policy. Besides that, another effort is to present a digital information portal that can be accessed and able to present the development status of coronavirus patients. With the development of information and communication technology, this research is a find correlation between weather and Covid-19 Using Data Mining Algorithm in processing data sources from the government to produce knowledge that can be used to make decisions. The research data used came from Covid-19 surveillance data of the Ministry of Health of the Republic of Indonesia and the climatic conditions in Surabaya Indonesia in the form of the average temperature (°C), the average humidity (%), the average duration of sunlight (hour) taken from the Department of Meteorology of the Republic of Indonesia. Based on the results of the study it was found that the weather affected the number of Covid-19 patients. The highest order of correlation is the average duration of sunlight (hour), the average temperature (°C), the average humidity (%).
CUK Converter for Power Factor Correction Using Moth Flame Optimization-PI Controller
Authors: Pratiwi Adinda Aisyah , Efendi Moh. Zaenal , Murdianto Farid Dwi 
Published: December 2020

Abstract
Electronic equipment in household loads in the form of non-linear loads that require a circuit that requires a power supply in the form of a direct voltage (DC) that requires an AC to DC rectifier in the form of a full-wave rectifier. However, the installation of capacitor values in the circuit can cause the waveforms of the input current to become uneven or distorted so that the emergence of harmonics which results in a low power factor with the improvement of the power factor. It affects the output voltage to the load so we need control for the voltage regulator. The solutions to overcome the problem of input current defects can be overcome using a power converter used as a PFC. In this paper, CUK Converter used as PFC is expected to get close to 1 (one) results in increasing power factor and the need for a voltage regulator to regulate the voltage requirements for loads that are utilized by the Moth Flame Optimization algorithm method - PI method. This CUK Converter functions in DCM (Discontinuous Conduction Mode) which makes the system resistive. In conclusion from the results of simulations that have been done, the results obtained from the use of CUK Converter as PFC can improve the power factor from pf value 0.731 to 0.994 and with MFO-PI control it can maintain a constant output voltage of 12 volts with a current of 5 amperes.
Investigation of Wind Power Potential in Al-Aqiq, Saudi Arabia
Authors: Al-Ghamdi Saeed Ahmed 
Published: December 2020

Abstract
Saudi Arabia authorities recognize the importance of renewable energy, especially wind, and they intend to invest in this promising power sector. This paper presents a wind data analysis in terms of annual, seasonal, and diurnal variations at Al-Aqiq, which is located in the highlands of the southwestern region of the Kingdom of Saudi Arabia. In the analysis, the diurnal variation of wind speed at 3 m above the roof surface shows that wind speed remains above 2.5 m/s during the period 10:00 AM to 10:00 PM. The overall wind speed is found to be 2.68 m/s, 4.2 m/s, and 5.48 m/s at heights of 3 m, 10 m, and 50 m, respectively, with the main wind direction ranging approximately from south-southeast to south-southwest. The highest average monthly wind speed is recorded in March, with values of 3.09 m/s, 5.11 m/s, and 6.43 m/s at heights of 3 m, 10 m, and 50 m, respectively, and with southwest being the main wind direction. The wind data analysis is then used to estimate wind energy production. Wind energy generation is considered for 21 wind machines of different sizes. At a height of 10 m above ground level, the highest energy estimate is generated using an Enercon E141/4200 wind machine, with a rate of 4898.96 MWh/Year. The lowest energy estimate is generated using a Soyut Wind 100 wind machine, with a rate of 165.54 MWh/Year. The highest capacity factor (26.0%) is recorded for an Aeronautica Windpower 33-225 wind machine and the lowest capacity factor (5.9%) is recorded for an Enercon E126/7580. The analysis shows that the power factor is low for wind turbines located at 3 m above roof surface level, but higher heights at Albaha University, Al-Aqiq, may be suitable for wind farm development.
Standalone Photovoltaic System Cost Optimization for Matantimali Village Central Sulawesi
Authors: Aprillia Bandiyah Sri , Made Hendry Keswara I , Raharjo Jangkung , Ramdhani Mohamad , Adam Kharisma Bani , Suhartono Efri 
Published: December 2020

Abstract
Electricity is very limited in Matantimali village where it is located on the slopes of Gawalise, Marawola District, Sigi Regency, Central Sulawesi Province. In this village, the state electricity company (PLN) can only provide electricity during the day from 06:00 to 18:00. During night, the diesel generator becomes the main energy source for the village providing electrical energy from 18:00 until 06:00. However, the use of diesel generators contradicts with the government commitment to generate environmental eco-friendly power generation. This study aims to analyse and to optimize the price of off-grid solar systems which will be implemented in the village of Matantimali as a potential replacement of the existing diesel based electric energy. We find in this study that 11 PV units with a total power of 3,686 Wp, two 2400 W powered inverter, and a 16-unit battery cover are the required specification for optimal power of 1300 VA load. The Off-grid solar panel installation system creates annual cost savings of IDR 3,543,397 compared to the use of conventional electricity using diesel generators and PLN.
Sensitivity of Optical Fiber Sensors to Deflection of Reinforced Concrete Beam
Authors: Asriani Farida , Winasis  , Pamudji Gandjar 
Published: December 2020

Abstract
The capacity of concrete beams will decrease by many external factors. To find simple and reliable method to monitor the quality of concrete beams is a challenging task. An optical-based fiber sensors is very interesting to develop for such task because of its many advantages. In this study, the optical fiber sensors were embedded in reinforced concrete beams to detect and to monitor deflection of the beam where a straight-line configuration of optical fiber was used. We perform experimental work to test performance of the use of optical fiber sensor by collecting data from flexural testing the concrete beam with the Universal Testing Machine (UTM). While the concrete deflection was measured by (linear variable differtial transducer (LVDT) as elongation unit, the fiber optic sensor output was observed in volts unit. We test the sensitivity of the optical fiber sensor by analyzing the relationship graph between the changes in the deflection of the concrete beam and output voltage of optical fiber sensors. The results show that optical fiber sensors have good sensitivity to detect and monitor concrete beam deflection.
Capacity-based seismic design of a middle-rise residential building in an area of moderately-high seismicity
Authors: Hidayat Banu Ardi , Haryanto Yanuar , Nuroji  , Sukamta  , Praja Wisnu Kurnia , Hu Hsuan-Teh 
Published: December 2020

Abstract
As Indonesia is located across three active tectonic plates, it is prone to a high potential earthquake threat. Strict regulations have been introduced to prevent damage to buildings caused by seismic activity. This study aims to examine the behavior of a middle-rise residential building in a moderately-high seismicity area (i.e. Semarang City) and the design of the Reinforced Concrete (RC) members under seismic load. The design was based on the capacity method and the strong column-weak beam concept was applied to the plastic hinge effect that occurred in the beam. Therefore, the analytical computation was performed, taking the structural seismic response into account. Also, the code-based design calculation of RC members was achieved. The measured structural response showed that the building fulfilled the requirements stated in the Indonesia Code of Earthquake-based Design. The first two modes of the building translated in the Y and X directions, which is the preferred response under the earthquake. The story-drifts that occurred were within the acceptable limits and the structural stiffness in the X and Y directions were found to be similar. Finally, the exact design of RC members was found to satisfy the code.
Reservoir Characteristic of Triassic Sandstone, Eastern Seram, Maluku, Indonesia
Authors: Gibran Akhmad Khahlil , Kusworo Aries , Wahyudiono Joko , Sunan Huzaely Latief , Aeni Deventi Nur , Alghazali Afif 
Published: December 2020

AbstractThe Triassic aged sandstone from Kanikeh Formation, are spread across Seram, Kesui and Teor Island. The Kanikeh formation has been known as excellent source rock, however, reservoir characteristics of this formation are unknown. This paper aimed at the diagenetic influence on reservoir characteristics was investigated for the Carnian-Norian sandstone sequence in the Eastern Seram. This study comprises two methods which are petrographic analysis and Scanning Electron Microscope-Energy Dispersive Spectrometer (SEM-EDS). The petrographic analysis shows the sandstones of the Carnian sequence in the Eastern Seram are lithic wacke, litharenite, arkose. SEM-EDS observations showed that the minerals belong to the silica group derived from the silica minerals, feldspar, clay, and mica minerals. The silica mineral is a quartz grain. The observed feldspar mineral is K-Feldspar in the form of granules. The most dominant clay minerals are smectite, illite, chlorite, kaolinite, halloysite. The observed mica group is muscovite. Diagenetic identified in these sandstones include compaction, cementation by calcite, quartz, clay minerals, iron oxides, dissolution, and alteration of unstable clastic grains, tectonically induced grain fracturing. Unstable clastic grains like feldspars suffered considerable alteration to clay minerals. Based on characteristics of the Diagenetic, the Carnian-Norian sandstones in the study area have a negligible reservoir characteristic.
A Combination of Landsat-8 Satellite Imaging with Geothermal Manifestation Point at Wayratai Geothermal Prospect Area to identify “the zone of interest” on Geo-track and Geo-tourism planning
Authors: Taufiq  , Maharani  
Published: December 2020

Abstract
In this paper, we will identify the zone of interest on Wayratai geothermal prospect area based on the Satellite Imagery Map and Geothermal Manifestation Point to make a geo-track and geo-tourism planning in the future. Based on Satellite Imagery Map, we composite several bands, such as band (6,4,2) to describe an alteration rock and composite band (4,3,2) to describe a vegetation variation. After that, we process several bands to get the land surface temperature in this area, then we correlated the satellite data with surface measurement (with X-Ray Thermogun) on several geothermal manifestations. Based on both correlation, it shows a positive correlation, such as hot spring on the East Area with temperature 70-80°C is correlated by a high value of LST (indicated by dark-red zone), fumarole with temperature 74-78°C, and steaming ground on the West Area with temperature 26-59°C. Based on this data, then we make a geo-tourism planning on this area with make geo-track to connect all of “zone of interest” on satellite imagery with regional geology spot with a circular route, so in the future, Wayratai geothermal prospect area can be one of a geo-tourism spot on Lampung Province.
Mental workload analysis on fruit truck suppliers using NASA-TLX method in giwangan market area
Authors: Utomo Bagus Wahyu , Prabaswari Atyanti Dyah , Nurdin Riani , Sinaga Calvin Hasiolan 
Published: December 2020

Abstract
Several times the truck driver received complaints from consumers (merchants) related to the inaccuracy in delivering the goods, and the quality of the goods declined. The driver stated that most of this happened because of the unfavorable market conditions so that it was not possible for drivers who arrived at the Giwangan market to carry out the loading and unloading process directly. That is because drivers are forced to wait up to 1-5 hours in the Giwangan market area to unload goods. These things are thought to add to the mental workload of truck drivers. The method used to measure mental workload using a questionnaire on the NASA-TLX method. The number of respondents sampled in this study were 20 (twenty) people, and all male. The respondents’ age is divided into two categories, namely early adulthood (18-40) and middle adulthood (40-60). The NASA-TLX calculation results stated that the workload of fruit truck drivers on the market during normal day conditions is classified as “High” with a score obtained of 70.26. The correlation test has resulted in the more age of the fruit truck driver, the lower the workload’s value.
Demand Model Development Considering Supply Chain Disruption
Authors: Adhiana Tigar Putri , Sofiana Amanda 
Published: December 2020

Abstract
The concept of distributes and selling products through retailers (offline channels) and also online channels is called a dual-channel supply chain (DCSC). In DCSC, one manufacturer manages the online channel and distributes the product to one independent retailer. Disruptions are all activities that disrupt the supply chain activities so that the supply chain cannot operate normally. Another major aspect to be considered in DCSC is the customer shift in preferences because with adding an online channel, the online channel has several advantages. This paper’s objective is to investigate the effect of supply chain disruption on demand in the online and offline channels. The customer knows beforehand that there is a disruption in the supply chain before even try to purchase the product in DCSC, therefore it will affect the customer preferences that will also affect the channel demand. From a numerical example, it is shown that the retail channel is suffering more than the online channel. The greater the probability of disruption and the proportion of disruption, the demand on the offline channel will decrease.
A study of delamination characteristics (drilling) on carbon fiber reinforced IPN composites during drilling using design experiments
Authors: Suresh G , Srinivasan T , John Rajan A , Aruna R , Ravi Rajesh , Vignesh R , Sai Krishnan G 
Published: December 2020

AbstractThe aim of this entire research approach is to produce the damage free drilling operation on the IPN composites by selecting the suitable cutting parameters. The standard combinations of polyurethane and vinyl ester resins were used as the matrix material to fabricate the IPN composite laminate with carbon reinforcement. To expedite this, the analysis of variance (ANOVA) and taguchi combination method was used. Based on the technique proposed in taguchi, the plan of experiments had been carried out, by opting the variant process parameters of the drilling; similarly, ANOVA was used to determine the drilling characteristics of the IPN laminate (carbon fiber) of various drill bits like Helical flute, Four-flute, Helical flute – K12 drill bits. The main objective upon doing this experiment was that, to establish the finest correlation between the feed rate and cutting velocity as the output of delamination in IPN laminate, by precisely choosing the multi linear regression analysis. At last, the evaluation tests were carried out to compare the obtained result with correlated analysis, as well it had shown significant agreement with each other.
Performance characteristics of GMAW process parameters of multi-bead overlap weld claddings
Authors: Madesh R , Makeshkumar M , Surender S R , Shankar K P , Sasi Kumar M 
Published: December 2020

Abstract
The effect of Gas Metal Arc Welding process parameters on the bead geometry of stainless steel (SS) claddings can be studied using statistical Taguchi L9 design of experimental model. In this study deposits were made with continuously varying weld bead overlaps of 0 – 100%. Cladding is proposed to impart corrosion inhibition properties to the low carbon structural steel plate. Selection of welding process parameters affects the arc stability, heat input deposition rate and quality of the surfaced layer represented by the percentage dilution. Minimization of heat input leads the reduced deposition rate and increased occurrences of weld bead defects like porosity, lack of fusion and cracking. In this context, it is important to identify the extent of influence exerted by the controlled welding parameters on the bead geometry. The reinforcement dimensions play an important role in the cladding process. Stainless steel claddings are deposited by automated Gas Metal Arc Welding (GMAW) process by using Taguchi L9 design of experiment. The selected input variables are Welding voltage (WV), Wire feed rate (WFR), Welding speed (WS) and NTPD. The responses identified governing the bead geometry like bead width (w) and height of the reinforcement (h) in different bead overlaps like 0%, 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%, 100%. The paper also explores the variation in the bead geometry at different levels of overlap percentages including hardness evaluation.