bluuebunny/crossref_metadata_2025_split huggingface dataset:
Bound states in the continuum and exceptional points in dielectric waveguide equipped with a metal grating
Authors: Kikkawa Ryo , Nishida Munehiro , Kadoya Yutaka 
Published: May 2020

Abstract
Bound states in the continuum (BICs) and exceptional points (EPs) have been the subjects of recent intensive research as they exhibit exotic phenomena that are significant for both fundamental physics and practical applications. We investigated the emergence of the Friedrich–Wintgen (FW) type BIC and the EP in a dielectric waveguide comprising a metal grating, focusing on their dependence on the grating thickness. The BIC emerges at a branch near the anti-crossing formed of the two waveguide modes, for a grating of any thickness. With the grating-thickness change, the anti-crossing gap varies and the branch at which the BIC appears flips. We show that, when the slit is single mode, the BIC appears in the vicinity of the crossing between the two waveguide modes in the empty-lattice (zero slit-width) limit, while the results satisfy the criteria for the branch at which the BIC appears in the previous reports. In addition, we find that the EP appears near the BIC in the same device only on selecting the grating thickness. The BIC and EP in the dielectric waveguide comprising a metal grating, particularly with such tunability, are expected to result in the development of functional and high-performance photonic devices in addition to being a platform for the fundamental research of non-Hermitian systems.
Analyses of Battery Usage Characteristic in Electrical Car
Authors: Marniati Yessi , Suyadi Andri , Yani Herman , Marsus Sutan 
Published: May 2020

Abstract
The first battery is DMA 60B24R, the second battery is NS60 / 46B24R 370CCA and the third battery is 46B24R / NS 60. When emptying the battery for 6 hours, the current and voltage values of the battery quickly run during 6 hours of discharge, the first battery voltage, current 0, the second battery 6 hours there is no residual voltage, current. While what remains emptying with time for 6 hours is a third batteries with a voltage value of 2 Volts, 10 A current. When charging a battery with a time varies of 2 hours, 4 hours and 6 hours, the first battery for 6 hours voltage 14 Volts and current of 46 A. The second battery with a time of 6 hours voltage of 13 Volts, current 45 A. The fast charging battery is the third takes 4 hours of charging 13 Volts of voltage, current 45 A. The third battery is very good to use for electric cars because when emptying for 6 hours there is still voltage and residual current in the battery, when charging only takes 4 hours it will affect the travel time and mileage in accordance with the purpose when driving electric car.
Learning Module of Analog Electronics Practice
Authors: Rasyad Sabilal , Evelina  , Amperawan  , Permata Sari Dewi , Latifah Husni Nyayu 
Published: May 2020

Abstract
The function of transistors in analog and digital system is very important, therefore it is necessary to give more attention to their design problem. The power amplifier is designed and tested in class A and B. This research was done to complete the existing experimental equipment by knowing the magnitude of amplification and efficiency value. The result of this research both experiments and calculations for class A amplifier show a greater amplification with increasing value of load resistance. In class A power amplifier, the highest efficiency at 10 kΩ load resistance is 2.739%. In class B power amplifiers, the efficiency value still shows a fixed value of ± 78.6%. From the efficiency value, it shows that the percentage of class B amplifier is better compared to class A amplifier. The results of the amplification and efficiency of both class A and B amplifiers that were obtained from the experimental result of design of the practice learning module showed quite accurate results. This is marked by amplification and efficiency of < 8.33 % for class A (RC coupling) and for class B, the max efficiency is 78.6 %.
Analysis of a cans waste classification system based on the CMYK color model using different metric distances on the k-means method
Authors: Resti Yulia , Burlian F. , Yani Irsyadi , Rosiliani Dinda 
Published: May 2020

Abstract
This study aims to build and analyze a classification system of can waste based on Cyan, Magenta, Yellow, and Black (CMYK) digital image color model by implementing 3 different metric distances on the k-means method; Manhattan, Euclidean, and Minkowski. The classification results of experimental data note that the implementation of Euclidean distance on the k-means clustering method for classifying the cans waste into three can types has the highest accuracy, with a difference of not more than 1% from Minkowski distance and more than 19.6% from Manhattan distance. The simulation study of various size of generated data show that classification accuracy level using the three metric distances for both the lighting data have a rate less than 70%. The accuracy level of less than 70% in both experimental and simulation data, each of which implements three distances, can be said that this method is not appropriate for building a can classification system.
Implementation of Facial Feature Extraction Using Viola-Jones Method for Mobile Robot System
Authors: Zarkasi Ahmad , Nurmaini Siti , Setiawan Deris , Kuswandi Ahmad , Desy Siswanti Sri 
Published: May 2020

Abstract
To be able to detect faces, the system must be able to identify the characteristics of the face, so that the camera can distinguish which parts of the face and non-faces. In identifying facial features performed on certain parameters, such as skin color, facial contours, lighting, facial pose. At this time face detection system uses an algorithm Viola-Jones is considered the most accurate in the detection and face tracking. In this research, we will discuss the application of interactions between humans and machines with image media in the form of faces. Interactions between humans and computers can be found in various places. One of the media interaction between humans and computers is with the image. This time the system will indicate to find how r o bot can act through the position of a person’s face recorded on camera robot. This system uses the Viola-Jones algorithm method which is a fairly popular object detection method because the detection process is carried out very quickly. Besides, the bot will also follow the face based on the identity it stores in the database. In recognizing the human face this system uses the Eigenface method. Both of these algorithms will adjust the robot’s motion as it should. The results of the experiment will show the robot can move quite well following the face stored in the database.
Automatic Cooling of a PV System to Overcome Overheated PV Surface in Palembang
Authors: Taqwa Ahmad , Dewi Tresna , Kusumanto RD , Sitompul Carlos R , Rusdianasari  
Published: May 2020

Abstract
An automatic cooling for a PV panel is necessary to reduce the solar panel surface temperature and to avoid overheating that can lead to the destruction of a PV cell. The automatic design cooling is equipped with a thermostat as the temperature sensor. The automatic cooling consists of a thermostat, a microcontroller to regulate a pump and to flow water on the surface of the solar panel. The reference temperature is set to 36oC, and when the surface temperature exceeds the reference temperature, the pump will flow the water, and the heat is gradually reduced. The pump is off when the surface temperature is less than 36oC. The data application of automatic cooling was taken from 08.30 AM to 03.30 PM. The average power output for automatic cooling is 21.9 W, and the normally installed panel is 19.0 W. The difference in the average output power is 2.9 W. The panel with the automatic cooling system has higher efficiency (3.4%) compared to the normally installed panel (3.0%), with the difference of 0.4%. The application of automatic cooling is economically beneficial due to its output power and efficiency superior compare to the normally installed panel.
The Analysis of Wear on Artificial Hip Joint with Dimple on Femoral Surface
Authors: Satya Ramadhoni Tri , Syahrom A. , Putra Md Saad Amir , Prakoso A. T. , Wicaksono D. , Basri Hasan 
Published: May 2020

Abstract
This paper proposes the replacement of artificial hip joints which is one of the successful methods used to restore the movement of damaged hip bones. The main contribution of this work is to reduce wear caused by contact pressure between the femoral head and acetabular cup surfaces, where the average wear rate is very high. This can be achieved through the use of dimple on the femoral head surface from the artificial hip joint and subsequently computed by using the Archard equation. To validate the contact pressure accuracy of the proposed model, mesh sensitivity that used with 3 levels of mesh size are 1.2, 1.1 and 1.0. In this study for more accurate result, the mesh sensitivity used is with the mesh size of 1.0. The performance calculation results from wear are shown that in a hip joint using dimple the maximum contact pressure and the wear depth are decreased compared to the hip joint without dimple which are 67.25 MPa and 1.064 x10−10 mm from the previous value of 77.44 MPa and 1.185 x10−10 mm. Therefore, based on differences in the distribution of contact pressure that occurs shows volumetric wear on the hip joints using a dimple lower than without a dimple.
Optimal Design of Plasticizing Screw Using Artificial Intelligent Approach
Authors: Wang Min-Wen , Arifin Fatahul , Kuo Jhen-Wei , Dzwo Tzong-Horng 
Published: May 2020

Abstract
This study integrated plasticizing screw analysis software with neural-network in the design of a screw for injection molding application. The qualities of the plasticizing screw selected in this study are output rate, melt temperature variation at the end of metering zone, the specific mechanical energy (SME), and the melting distance. The Taguchi orthogonal array is implemented to carry out the experiment and to obtain the test data for training the neural network. The Back-propagation Neural Network (BPNN) was then used for screw quality predictor, and optimal design was solved with Genetic Algorithm (GA). The optimal screw design for a diameter of 25 mm screw for molding PC resin in this study is 5.37D in solid conveying zone, 9D in compression zone, metering zone depth of 2.44 mm, and flight width of 3 mm. The performance of this screw with the preset processing condition can have the temperature difference at the end of metering (ΔT) of 5.67°C, the output rate Q of 20.12 kg/h, the SME of 520.80 (kJ/kg), and the plastics completely melted at 17.39D.
Analysis of Upgrading Process of South Sumatera Low Rank Coal
Authors: Sipahutar Riman , Kusuma Pratiwi Diah , Darmawi  , Bizzy Irwin , Hidayati Baiti 
Published: May 2020

Abstract
This research aims to find a method of removing moisture of Indonesian low rank coal by using a combined equipment of evaporator and heater. The heating equipment was controlled at varied temperatures of 343 K, 353 K and 363 K. This method is expected to increase heating value and reduce moisture content of coal. Based on this study, the removal of moisture content of Indonesian low rank coals was affected by the heating temperature and particle size of coals. Ambient air was passed through the evaporator tubes to decrease the temperature until reaching the dew point temperature of the air and then through the heating elements of a heater before entering the fluidised bed of pulverized coal. The results of this research showed that the heating value of coal can be increased up to 35.4% and also the moisture content can be reduced up to 29.8%, both at heater temperature of 363 K and particle size of (-20 +40) mesh.
Simulation of the Effect of Cutting Angle in Lathe Process onDistribution of Cutting Temperature
Authors: Ismail T , Amrifan SM , Irsyadi Y , Riman S , Rahmad H 
Published: May 2020

Abstract
Lathe machining process (turning) is one of the metal cutting operation is the most widely used. At the time of the cutting process almost all cutting energy is converted into heat through friction between furious with the chisel and the chisel with the workpiece, as well as the destruction molekulen or atomic bonding in the field of shear (shear plane). The heat produced will be distributed in workpiece surface, chisel eye, and furious. High cutting temperatures as a result of friction between the eyes chisel and workpiece, will have an impact on the wear rate of the active surface of the plastic deformation chisel and chisel. Cutting temperature can be measured in various ways, either directly or indirectly. However, in its application, direct measurement will find it difficult to reach the area of the cutting temperature. The difficulty is due to the relatively narrow measurement range, disturbance of movements machinery and hindered by furious that formed during the machining process is done. To overcome this we can do indirectly measuring process for measuring the temperature of the cutting. Indirect measurement can be done by simulation or modelling. This research uses Tungsten carbide as a cutting tool and AISI 4340 as the workpiece in the simulation process. FEM-simulation software used in this research is SolidWorks 2014 and Abaqus / CAE 6:14. Simulations were performed to analyze the influence of the temperature distribution of the corner cutting that occurs during cutting.
Design of Automatic Control Systems at Loader Output of Snap Gauge Machine in Manufacturing Industry
Authors: Ardi Syahril , Faizal Zuhdi Rahardian 
Published: May 2020

Abstract
The process of making an engine valve is through a machining process in the machining area. One of the machines in the machining area is a snap gauge machine. This snap gauge machine is used for the engine valve dimension inspection process. In this snap gauge machine, there is a section called the output loader. The existing condition is the low height of the output loader. This causes the operator to bend when carrying out the engine valve. The impact is on the decline of operator morality, especially the enthusiasm and level of operator fatigue at work. Next, we design a mechanism to increase the output loader height so that the inner process runs automatically. The design of the Automatic Output Loader is to automatically increase the output loader’s height. In this Automatic Output Loader it will use PLC as a control, programmed according to the desired working system and use the pneumatic cylinder as an increase in the output loader height. The height of the previous loader was 40 cm, after making this tool it increased to 65 cm and the operator did not have to bend again as before.
Experimental Vibration Study in Milling Thin-Walled Ti6Al4V under MQL using Coconut Oil as Cutting Fluid
Authors: Yanis M , Mohruni A S , Sharif S , Yani I , Zahir M 
Published: May 2020

Abstract
In thin-walled Titanium Ti6Al4V machining, vibration is the dominant factor affecting the quality of components. Excessive vibrations can generate chatter, this condition occurs because it is not suitable in choosing machining parameters. Chatter is not expected because it causes dimensional errors, rapid tool wear and poor surface finish. This experiment tries to identify chatter-free conditions with the appropriate parameters. Uncoated carbide is used as a cutting tool with a diameter of 10 mm and machining under the MQL system with coconut oil as a cutting fluid. In the result of the milling showed if this machining is free of chatter, where from frequency was achieved is not equal to the natural frequency from simulation, then this is also approved from result surface roughness and surface photography. In surface roughness result, the value is smaller than minimum critical amplitude, where good result in high value of the cutting speed and small feed rate and result of the surface photography was identified no severe surface condition along thin-walled. The experiment also calculated for non-thin-walled Ti6Al4V as evaluation, where the result of both acceleration and surface roughness was obtained smaller than milling thin-walled.
Numerical and Experimental Analysis of a Drying Chamber of a Heat Pump Sludge Drying System
Authors: Luo Win-Jet , Wu Nai-Feng , Lin Cheng-Yan , Suhaeji Deri 
Published: May 2020

Abstract
This study proposed an improved design for the typical sludge drying system cooperating with three air-source heat pumps. Performance improvement of the system was conducted by consideration of the internal configuration of the drying chamber and the heat and mass transfer effect of the air in the cabin. Since the heat pump drying system in this study adopts the design of continuous sludge feed, the efficiency of heat and mass transfer between the sludge on the conveyor belt and thet air streams from the condenser in the drying chamber becomes very important. Simulation analysis of the computational fluid dynamics (CFD) software was used to understand the flow field and temperature field distributions in the drying chamber with air deflectors in order to find the appropriate internal configuration design in the drying chamber and system operating parameters. The SMER value (ratio of dehumidification amount and energy consumption) were measured to verify the system improvement effect. The purposed system can enhance the dehumidification SMER value by 32.44%. The simulation temperature differences and the actual measured results are less than 10%, the water content percentage of the discharged dry sludge decrease by 30% after redesign the cabin.
PLC Omron CJ1M CPU-21 Control Modification for Drill Oil Hole Machine in an Automotive Company
Authors: Prasetyani Lin , Ramadhan Bayu , Dewi Tresna , Sarfat William 
Published: May 2020

Abstract
Nowadays, PLC (Programmable Logic Control) is one of the common controlling devices in machines in the industry, including the automotive industry. An automotive company in Indonesia that produces component motorized vehicles in the form of pistons using machines that controlled by PLC. Piston is one of the main automotive components in motor vehicles that play a role in the combustion process. In the order of making piston there is a process of making oil holes which is carried out using a Drill Oil Hole (DOH) machine. This machine currently uses on / off operation mode use push-button. In addition, there is no interface to display information needed by machine and maintenance operators. There are some modifications that will be made to the drive section to synchronize between the engine and the robot. This paper presents a review of the modification of DOH engine controls using the CPU-21 CJ1M Omron PLC with an interface in the form of a Human Machine Interface (HMI) to provide information and set data needed.
Analysis Model for Orifice Flow Meter Correction Factor in Measuring in-Pipe Natural Gas Flow based on Numerical Simulation
Authors: Bunyamin  , Kaprawi  , Puspitasari Dewi , Sugianto  , Latifah Husni Nyayu 
Published: May 2020

Abstract
Orifice Flow meter (OFM) is widely used for measuring the flow in industry. However, in many cases, the measurement value of OFM some times will differ from the other meter, for instance Ultrasonic Meter (USM), that also measure the flow of the same pipe. The inaccuracy of the flow measurement using OFM can be caused by: i). the geometry of the OFM hole that experiences the shape changes due to abrasion or deformation as the result of the gas flow pressure on the inner surface of OFM metal holes; ii). the presence of a liquid fraction in the measurement of gas flow. To match the value measurement between the OFM and USM, a numerical simulation process of natural gas flow through OFM is needed. In this research, an analysis model for Orifice Flow Meter Correction Factor in Measuring in-Pipe Natural Gas Flow based on Numerical Simulation, is proposed. This model can be used to correct the error measurement of the OFM. The analysis process is conducted by analysing the Pearson correlation and testing the Kolmogorov-Smirnov data normalization on 9 populations of flow measurement data using OFM and USM. However, only 4 of the data that matches to the Pearson correlation criteria and the Kolmogorov-Smirnov normalization. Based on the 4 populations of data, a correction factor model was developed using a regression analysis consisting of two factors, namely OFM and USM correction factors that refer to the actual data from the measurement of gas flow rate. Based on variations in gauge pressure of 393.65 psig, 404.67 psig and 413.37 psig at a temperature of 80.710F and numerical simulation results in the form of different pressure and flow discharges, the resulting correction factors are in the form of 3rd degree polynomial equations.
Study of The Effect of Calcium Oxide (CaO) Catalyst Derived From Blood Clam (Anadara Granosa) And Reaction Time To Quality of Biodiesel From Waste Cooking Oil
Authors: Febriana Ida , Anerasari M , Ridwan KA , Jauhari Taufik 
Published: May 2020

Abstract
This study aims to determine the effect of CaO catalyst amount and reaction time to the quality of biodiesel produced. The CaO catalyst used was obtained from the shell of the blood clam by means of calcinations at temperature of 1000 °C for 5 hours, in order to activate the CaO compound in the shell of the blood clam. The transesterification process was carried out with 2 independent variables, namely the amount of catalyst and reaction time. Variations of catalyst were 0.5%, 1%, 1.5%, 2%, and 2.5% tothe weight of waste cooking oil, while the reaction times were varied in 60 minutes, 120 minutes and 210 minutes. The results of the research shown that the amount of catalyst and reaction time affected the quality of biodiesel produced.Theoptimum amount of catalyst was 2.5% of weight at120 minutes optimum reaction time yielded of 59.89%, with 0.868 gr/mLdensity, 5.65 cStviscosity, 0.458 mgKOH/gr acid value, 0.045% moisture content, 1780Cflash point, and 9557.78 cal / gr calorific value.
The Analysis of The Use Calcium Oxide (Anadara Granosa) and Sodium Hydroxide Catalyst Reviewed on Yield of Biodiesel
Authors: Effendy Sahrul , Tahdid  , Trisnaliani Lety , Putra Sandy A , Hefyani Alifah R 
Published: May 2020

Abstract
The energy crisis in Indonesia is caused by an increase in the need for fuel oil which has increased in the replacement of fossil energy reserves. It’s the time to dependency of the petroleum by developing an alternative energy sources that can be renewable. One of the way to overcome this matter is developing the fuel production such as biodiesel which is made by waste cooking oil. The level of FFA is contained the waste cooking oil is used below 5%, namely 1.945% so that the transesterification process can be directly carried out. This research was conducted to determine the effect and the type of catalysts concentration (NaOH and CaO), ((0.5-2.5%) with 3000 ml of waste cooking oil) on the quality of biodiesel. The results of the study shows the effect and the type of catalysts concentration is affected of the quality of biodiesel is produced. The optimum point is using of NaOH catalyst with the amount of catalyst 1% w/w waste cooking oil is yield 84.65%, density 0.8540 gr/ml, viscosity 5.65 cSt, acid number 0.447 mgKOH/gr, water content 0.048%, point flame 167°C, and calorific value 9757.7096 cal/gr, these values have fulfilled the biodiesel quality standards in accordance with SNI-04-7182-2015. while the optimum point is used of CaO catalyst and the amount of catalyst is 2.5% w/w waste cooking oil is yield 58.57%, density 0.8740 gr / ml, viscosity 5.66 cSt, acid number 0.447 mgKOH / gr, water content 0.040 %, flash point 179.6°C, and heating value 9543.5214 cal/gr.