bluuebunny/crossref_metadata_2025_split huggingface dataset:
Identification of transition processes parameters in flotation machine by computer vision
Authors: Zatonskiy A V 
Published: July 2020

Abstract
The efficiency of potassium fertilizers production needs to improve industrial control systems because the fertilizers are very important for agriculture and economy all over the world. Now a control of flotation quality is made by a visual operator’s observation, and a human factor could influence on the results. This paper is about of researching of foam recognize algorithms based on determination of flares from bubble surfaces. Statistics of flares are used for determination of parameters of transition processes in the flotation machine. A method based on bubble flares detection instead of bubble borders recognition. The method allows recognizing bubbles even on a surface of specific potassium foam, non-contrast, solid and color. This research solves the tasks of an optimal binarization threshold approximation, foam driver imagination exclusion, transition process detection. The optimal threshold is developed from medium frame luminosity quite linear. The foam driver can be excluded from the frame by specific character of luminosity trend. The transition process leads to change of bubbles count easy detected by software. A time of processing is about 15-30 ms per frame. Thus, the method can be used as in alarm systems, so in control systems on decision support systems.
Methods for control of crude oil refinery unit
Authors: Tugashova L G 
Published: July 2020

Abstract
We have reviewed the features of the oil rectification process in the low-power crude oil refinery unit. The features of heat removal by intermediate pumparound in comparison with a large-capacity unit have been distinguished. The input and output parameters of the object have been selected. The possibility of representing a multi-loop controlled object as single-channel objects using the EOTF method of effective transfer functions has been reviewed. To improve the quality of unit control, it has been proposed to use the model in practice. For this purpose, a dynamic Hammerstein model for the low-power crude oil refinary unit has been developed to identify the nonlinear part. The proposed model allows studying the influence of various effects (live reflux consumption, diesel oil consumption and superheated steam consumption) on the controlled parameters (points of the temperature profile of the atmospheric tower). The Matlab/Simulink software has been chosen as the tool for implementing the model.
Research of long-term stability of the near-wellbore zone
Authors: Aliev M M , Baiburova M M , Ismagilova Z F 
Published: July 2020

Abstract
The authors used the criterion of short-term rock strength, transformed for the case of long-term strength in order to assess the long-term stability of the borehole wall and determine the permissible pressure in the wellbore. The long-term strength criterion is written according to the method of P.P. Balandina. As a result of the study, it was proved that the determination of the long-term strength of a rock is reduced to a decrease in the values of the short-term strength limits. A curve of the long-term strength of an inclined well is constructed according to a generalized dependence. The expression is obtained that allows determining the time of long-term strength.
Warm insulation of exhaust pipe when taking gas from the “dome - separator” installation from large depths
Authors: Chiglintseva A S , Nasyrov A A , Chiglintsev I A 
Published: July 2020

Abstract
The article describes the impact of the use of polyurethane insulation on the tubes sclerosis by hydrate when gas is taken from the “dome-separator”, installation that designed for emergency hydrocarbon collection at the bottom of the ocean. Such an installation collects hydrocarbons directly above the breakthrough point at the bottom of the ocean, and their transportation is carried out through pipes to the collecting vessel. Currently, in the conditions of the development of the Arctic shelf in order to increase the level of oil production, such breakthroughs can cause enormous damage to the ecosystem, in particular, in the Arctic Ocean, since living organisms that exists in the harsh conditions of these latitudes are more sensitive to changes in the environment. But during the passage of gas through the exhaust pipe in the presence of moisture and corresponding thermodynamic conditions, a hydrate formation process occurs. This phenomenon can cause the pipeline to overlap and impede the normal operation of the selection of hydrocarbons from great depths. To prevent these consequences, work suggests possible options for warming the pipeline. It is shown that sclerosis of a pipe extending to great depths can be prevented even with small values of polyurethane foam insulation.
The Effect of Giving Okra (Abelmoschus esculentus L.) Juice on HDL Levels in the Blood Serum of Wistar Strain Rats Fed High-Fat Feed
Authors: Alifah Rizqi Nur , Peniati Endah , Rudyatmi Ely , Setiati Ning 
Published: July 2020

Abstract
Cardiovascular disease is the biggest cause of death in the world with the number of deaths reaching 17.7 million people (31% of the total number of deaths). The main cause of cardiovascular disease is a disturbance in the function of the heart and blood vessels caused by atherosclerosis due to the deposition of cholesterol in artery walls. High Density Lipoprotein (HDL) functions to transport free cholesterol contained in the endothelial peripheral tissue to HDL receptors located in the liver so that it can be processed to be used as bile. Therapy to increase levels of HDL in the blood using okra juice (Abelmoschus esculentus L.) can be done in rats that have been given high-fat feed. The purpose of this study was to determine the effect of okra juice (Abelmoschus esculentus L.) on HDL levels in rats fed high fat. The study was conducted with giving okra juice (Abelmoschus esculentus L) with dosage difference of 1500 mg/kg bw, 3000 mg/kg bw and 6000 mg/kg bw. The research design used was complete random design with post-test randomized group design with a number of replications 5. Testing of HDL levels was carried out by the CHOD-PAP (Cholesterol Oxidase Para Aminophenazone) method. The research data were analyzed using one-way Anova followed by LSD tests. The results of the study giving okra juice (Abelmoschus esculentus L.) to HDL levels by induction of high-fat feed at a dose of 6000 mg / kg body weight were significantly different from lower dosage. Conclusion, okra juice (Abelmoscus esculentus L.) has a positive effect on increasing HDL levels..
Environmentally friendly production method of virgin coconut oil using enzymatic reaction
Authors: Harimurti Sabtanti , Rumagesan Rizka Meilisa , Susanawati  
Published: July 2020

Abstract
Virgin Coconut Oil (VCO) has been known in Indonesia since a decade ago. This oil is made from coconut milk using unheated method, such as enzymatic, physical, and chemical method. The VCO has been proofed to have many health benefits such as for treatment of hyper-cholesterol, diabetes, viral and bacterial infections. Also, the oil has been utilized in the cosmetics industry for beauty skin care. In the increase of VCO demand for pharmaceutical industry, this study was conducted to find the method for VCO production using an environmentaly friendly process. The environmentally friendly process was conducted to maintain the sustainable environment. This paper deals with the enzymatic method of VCO production. The enzyme was obtained from fresh pineapple juice that is proofed contain bromelin. The enzyme will cleave the polypeptide bond of emulsifying agent in the coconut milk. Further, the oil will be separated and then collected as the VCO. During this work, the amount of the fresh pineapple juice varied to measure the rate of VOC production. Based on the observation during the production, it is found that the increase of fresh pineapple juice added increases the VCO production.
Smart Laboratory Based On Internet Of Things In The Faculty Of Electrical Engineering, University Of Muhammadiyah Sidoarjo
Authors: Sulistiyowati Indah , Sugiarto Arif Rachman , Jamaaluddin Jamaaluddin 
Published: July 2020

Abstract
Technology continues to grow from year to year that aims to facilitate human work or automation of a system. In this case, the concept of smart laboratory is applied in the laboratory room of Electrical Engineering Faculty of Muhammadiyah University of Sidoarjo by utilizing temperature sensor. This application is used to determine the room temperature as well as the proximity sensor to know the person entering and exiting the room. The sensor is controlled by the NodeMCU microcontroller board to make the system work automatically. For example if someone goes into the room the lights will light up and adjust the temperature with the number of people who are indoors. By applying the internet of things, the system can monitor and control via smartphone updated on realtime firebase databases so that it is not limited by distance because it uses the internet network.
Design of Pothole Detector Using Gray Level Co-occurrence Matrix (GLCM) And Neural Network (NN)
Authors: Sutrisno Imam , Syauqi Albiyan Wanda , Hasin Muhammad Khoirul , Iskandar  , Rahmat Mohammad Basuki , Asmara I Putu Sindhu , Suwondo I’ie , Ardiansyah  , Wiratno Daviq , Setiawan Edy 
Published: July 2020

Abstract
Roads are land transportation infrastructure that covers all parts of the road. Roads with bad conditions will interfere with the achievement of activities to a destination. The situation also includes damage to the road surface in the form of holes. To overcome this, in this Final Project a hole detector was detected in the road using the Gray Level Co-occurrence Matrix (GLCM) and Neural Network (NN). The tool detects holes in the surface of the road using a camera by walking along the road being examined. The camera is used instead of the eye to detect road surface damage. The method used to detect holes is the GLCM. The GLCM method produces several features, namely entropy, contrast, energy, homogeneity, and correlation which will then be processed using a NN to produce a decision whether there is a hole or not. In addition to knowing where the location of the damage is equipped with GPS (Global Positioning System). The results of image feature extraction using the GLCM and road classification using NN can be used in the hole detection process. Testing is done using a car prototype that is monitored through the computer. The percentage of successful hole detection is 86.6% using 10 hidden. When a hole is detected the device manages to take a picture, then sends the hole coordinates to the server.
Big Data Analytics Technology Capability and Data-Driven Decision Making in Malaysian Higher Education Institutions: A Conceptual Framework
Authors: Ashaari Mohamed Azlan , Amran Azlan , Ahmad Noor Hazlina , Bakri Hazrieffendy , Nazri Shahrizal 
Published: July 2020

Abstract
In the era of big data, many organizations are aiming to become more data-driven and increase their decision-making efficiency. Nevertheless, there is an insufficient investigation that explores the antecedents of data-driven decision making (DDDM) in the context of Malaysian Higher Education Institutions (HEIs). Therefore, the study examines existing literature and utilises the Big Data Analytics Technology Capability (BDATC) dimensions such as connectivity, compatibility and modularity to conceptualize a DDDM framework. The study utilises Resource-Based Theory (RBT) to highlight the key dimensions for BDATC and how these dimensions are being integrate in order to establish effective DDDM for excellent performance. The antecedents of DDDM is a relatively new approach that is documented in literature, where literature seems to be diversified in terms of offering theoretical and conceptual frameworks, together with a model that Higher Education Institutions (HEIs) can utilize. The study chooses HEIs that undergo Malaysian Research Assessment Instrument (MyRA) as the focus of investigation. The data was collected from the key informants of Malaysian HEIs. In conclusion, the contribution of the study is to highlight the influence of BDATC for DDDM to attain better performance of HEIs in Malaysia.
Prototype Application of Online Mental - Health Screening Design Among Junior and High School Through Strength and Difficulties Measure
Authors: Sirait E , Utomo B , Siregar K 
Published: July 2020

Abstract
Mental disorders are a major cause of disability and death throughout the world every year. Indonesia has low mental health and is mostly experienced by adolescents. Indeed, recognizing the signs and symptoms of stress in adolescents early is a preventive measure before the condition worsens and causes many losses. Mental health service programs have so far been limited, both in schools and in health care centres. Facing such conditions, this study proposes a mobile application model that can be an early detection tool for adolescent mental health and information sharing between adolescents and teachers or health workers. The screening results will be followed up by the health service if a problem is found. This research builds a prototype of the mobile application to the modelling stage. The model is produced from the system requirements analysis, the model presented here is in the form of; Context Diagram, Entity Relational Diagram (ERD), Relational Diagram Table (TRD), Flow Chart and User Interface Design. Early mental health detection uses the Strength and Difficulties Questionnaire (SDQ). Data collection is done by interview, observation and study of literature. This information system can be used by primary health care and implemented in schools, making it easier for adolescent mental health screening.
Study of Crack Connections in Materials Composite Based on Polymer
Authors: Tjahjanti P H , Firdaus R , Iswanto  , Ahnan M F 
Published: July 2020

Abstract
The main problem in composite materials based on polymer arises when receiving dynamic loads resulting in initial cracks that continue to propagate. When crack on the metal, it can be connected by welding. Also, when a crack on concrete can be reconnected by grouting. While when crack in composite materials based on polymer, there is no special way to deal with cracks so far. The purpose of this research is to reconnect the composite materials based on polymer which has cracked and do the impact test (ASTM D6110-04 standard) is carried out to determine the impact strength and the amount of energy to break, tensile strength test, and observe the structure using Scanning Electron Microscopy (SEM). The highest of impact strength and the amount of energy to break, and tensile strength in sample A is 50% resin + 1% catalyst + 19% calcium carbonate + 25% fine fiber + 5% roving fiber, with an impact strength value of 23.89 Joules / mm2 and a large amount of energy to break 130.67 Joules, and value of tensile strength is 7.22 kgf/mm2. While observed microstructure by using SEM shows the crack that happened is brittle.
Computational algorithm PAOR for time-fractional diffusion equations
Authors: Sunarto A , Sulaiman J 
Published: July 2020

Abstract
We deal with the application of an unconditionally implicit finite difference approximation equation of the one-dimensional linear time fractional diffusion equations (TFDE’s) via the Caputo’s time fractional derivative. Based on this implicit approximation equation, the corresponding linear system can be generated in which its coefficient matrix is large scale and sparse. To speed up the convergence rate in solving the linear system iteratively, we construct the corresponding preconditioned linear system. Then we formulate and implement the Preconditioned AOR (PAOR) iterative method for solving the generated linear system. One example of the problem is presented to illustrate the effectiveness of PAOR method. The numerical results of this study show that the proposed iterative method is superior to PSOR and PGS, GS iterative method.
Validating The Fully Raster-Based Suitability Model for Sea Cucumber (Holothuria scabra)
Authors: Sulistyo Bambang , Purnama Dewi , Anggraini Maya , Listyaningrum Noviyanti 
Published: July 2020

Abstract
This research aimed at validating the fully raster-based suitability modelling for sea cucumber (Holothuria scabra) that has been created for the waters of Kiowa Bay, Enggano Island, Bengkulu. To validate the model, eighty-four sea cucumbers were cultivated on two different suitability classes. The field test phase includes setting the cultivation cages; measurement of sea cucumber weight; measurement of water quality parameter; and substrate analysis. Sea cucumbers were put into 2 cultivation cages (Cage 1: highly suitable, and Cage 2: less suitable), and for each cage, it was divided into 3 sub-cages. Before weighing, the sea cucumber was taken out from the water and then put into a tray layered with tissue, and left for 30 seconds. Measurements were conducted at the beginning of the study (t0) and then carried out every three weeks until t3. The data analysis includes the Specific Growth Rate; Daily Growth Rate; Absolute Growth; and Survival Rate. The results showed that the Specific Growth Rate; Daily Growth Rate; Absolute Growth; and Survival Rate at Cage 1 (ie 0.5%; 0.88 gram; 62.28 gram; and 85.71%) better than the same parameters at Cage 2 (ie 0.34%; 0.64 gram; 45.33 grams; and 69.05%). These results indicate that the raster-based data for sea cucumber suitability model has advantages over the sea cucumber suitability model analyzed using vector-based data.
Simplified fuzzy logic and arduino-based controller for maximum power tracking in solar panel
Authors: Suherman  , Fajri Mufrihul , Harahap Raja 
Published: July 2020

Abstract
Maximum power tracking for solar panel has been explored since long time ago for increasing solar panel output. Various methods have been implemented from combinational based algorithm to intelligent system, including the use of fuzzy logic. This paper demonstrates the implementation of fuzzy logic on the arduino microcontroller system. A maximum power tracking prototype is developed, and experimental assessments are conducted. Arduino uno is used for the microcontroller, small scale mechanic is developed driven by two electric motors, and 13V solar cell is used as the object. The assessments show that fuzzy logic algorithm is successfully implemented in arduino, the solar panel output is enhanced up to x% and the solar panel efficiency is up to x%.
Physical, mechanical and morphological properties of laminated bamboo hybrid composite: a potential raw material for furniture manufacturing
Authors: Siti Suhaily S , Islam Md Nazrul , Asniza M , Rizal Samsul , Abdul Khalil H P S 
Published: July 2020

Abstract
Laminated hybrid composites were prepared by incorporating dry bamboo strips and oil palm trunk veneer (OPTV) to form five-layer laminated composites. Two different species of bamboo were used including Dendrocalamus asper and Gigantochloa levis to explore their potential for furniture manufacturing. Influence of the bamboo species along with the different arrangements of lamination on the physical, mechanical and morphology properties of the hybrid laminated composites were investigated via scanning electron microscope (SEM), density, water absorption (WA), thickness swelling (TS) as well as impact and hardness strength test. Morphological study showed that filling up of surface cavity by adhesive improved the bonding strength between the surfaces of the bamboo strips and OPTV in the laminated hybrid composites. Additionally, different layer arrangements affected the mechanical properties, i.e., perpendicular arrangement exhibited higher strength compared to the parallel arrangement for both hardness and impact strength. The species of bamboo did not show significant impact on the density for different layer arrangements. Thus, test results clearly indicated that bamboo strips and OPTV hybrid composites could be used as an alternative to wood-based composites for furniture manufacturing.
Study of burning rate characteristics of propellants containing Al–Mg alloy nanopowder
Authors: C Mohammed Iqbal , L Santhosh Kumar , Chakravarthy S R , Jayaganthan R , Sarathi R , A Srinivasan 
Published: July 2020

Abstract
Nanopowder of Al–Mg alloy was synthesized using the method of electrical explosion of thin wires of hypo-eutectic Al–Mg alloy. Thin wires of hypo-eutectic Al–Mg alloy were cut by electrical discharge machining and exploded electrically. The nanopowder obtained is examined using scanning electron microscopy (SEM) and transmission electron microscopy (TEM) for studying the morphology of the particles. TEM and SEM images substantiate the spherical structure of the nanoparticles and the diameter of particles ranges from 20 nm to 95 nm. Solid propellants were prepared by adding the alloy nanopowder as an energetic additive element with bimodal ammonium perchlorate (AP) and Hydroxyl Terminated Polybutadiene (HTPB) propellant formulations. Burning rates of the propellant with nano Al–Mg alloy powder are compared with micro aluminised propellants and propellants with micro Al–Mg powder with the same composition. Mean burn rate of 22.03 mm s−1 was obtained at a pressure level of 9 MPa with nano Al–Mg powder and 20.4 mm s−1 with micro Al–Mg powder compared to mean burning rate of 10.03 mm s−1 at 8 MPa pressure for aluminised propellants. The improved mean burn rate of propellants containing Al–Mg alloy nanoparticles could be accounted for the reduction in the size of the alloy particle and selective melting of eutectic phases along with magnesium. In the process, it gives heat feedback to the high-temperature reaction zone, which results in augmenting further reaction of metal particles.
Ternary alloyed HgCdTe nanocrystals for short-wave and mid-wave infrared region optoelectronic applications
Authors: Balakrishnan Janani , Sreeshma D , Siddesh B M , Jagtap Amardeep , Abhale Atul , Rao KSR Koteswara 
Published: July 2020

Abstract
Semiconductor quantum dots (QDs) are emerging as the forefront alternative for the conventional imaging technology, particularly in infrared region from near infrared (0.75–1.4 μm) to long-wave infrared (8–14 μm) region. A handful of materials are explored for mid infrared imaging QDs and they are all invariably binary semiconductor compounds. Ternary alloyed quantum dots in many previous cases have shown properties that are unique and better than parent binary compounds. In this work, we have synthesized ternary alloyed HgCdTe quantum dots and studied their photophysical properties. Previously studied ternary alloyed HgCdTe CQDs absorb and emit in regions limited upto near-infrared region. We have tuned the excitonic absorption of HgCdTe QDs in the range of 2.2–5 μm, where addition of cadmium clearly showed blueshift in excitonic peak as compared to that of HgTe QDs. Structural properties are studied by TEM, XRD & XPS techniques. Electrical behaviour is studied by measuring I-V, I-V-T curves. Photodetectors are fabricated in photoconductive geometry showing promising photo-response under visible (532 nm) and NIR (810 nm, 1550 nm) excitation. Responsivity of the devices is in the order of 1 mA W−1 at 1 V bias and show good linearity over irradiance range of 0.025 and 2.5 W cm−2. These results pave the way for development of next generation cost-effective short-wave and mid-wave infrared region optoelectronic devices based on narrow bandgap HgCdTe nanocrystals.