bluuebunny/crossref_metadata_2025_split huggingface dataset:
Optimization of Multi-Criteria Decision Making Analysis for Selection of Suppliers in Supply Chains Using Fuzzy Logic
Authors: Rajiev R , Saravanan S , Sasikumar C , Sasikumar G 
Published: February 2021

Abstract
In today’s business environment, suppliers play key roles in making business strategies successful. Since quality, price, and on-time delivery of the products depend on the supplier’s ability to support the business strategies, choice of the correct providers assumes a key part in any association since it altogether decreases the unit costs and improves corporate value intensity. Supplier selection endures generally a multi-models dynamic issue which incorporates both subjective and quantitative variables. The main objective of this work proposes coordinating the Analytic Hierarchy Process (AHP) and Fuzzy set hypothesis to create assessment models to decide the best suppliers. The project reported here has attempted to integrate and Fuzzy set theory to determine best suppliers. The Fuzzy set hypothesis situated to the sanity of exposure because of imprecision or dubiousness. The Fuzzy set uses semantic elements to sort out rules and sub-rules weight, with a pair wise examination with the Analytical Hierarchy Process (AHP). The fuzzy AHP choice technique, which decides the loads of emotional judgment for logical assessment structure of the provide determination issue. At long last, a provider choice issue was explained utilizing the suggested model in an industrial cleaning machines manufacturing company.
The Development of Cutlery Tool to Reduce Parkinson Movement
Authors: Satar Reem Musab Abdul , As’arryi Azizan , Abdullah Mohd Faiz Bin , Zain Mohd Zarhamdy Bin MD 
Published: February 2021

Abstract
The typical feeding skills are considered to be eating from a spoonful, and imbibition from a cup and simple activities are difficult for Parkinson’s patients. The present study investigates the development of this acquirement in Parkinson’s patients of feeding spoon thought out improves on the concept design of feeding spoon, where it can be helpful for patients. In return this can help to improve the future work in designing and fabrication for any instrument to control tremor trembling allowing the patient to practice their delay rotten. Feeding spoon device can provide accurate and diagnostically relevant information about postural tremor. Its portability and ease of use could help translate such techniques into routine clinic use or to the community. With this study it is shown that 70% of improvement in skill assistance spoon feeding compared with ordinary spoon. It is apparent that the developed model can improve the feeding process and make it easier on the patient.
Bearing Fault Diagnosis Using Deep Sparse Autoencoder
Authors: Saufi S R , Ahmad Z A B , Leong M S , Hee L M 
Published: February 2021

Abstract
Rolling element bearing is an important component in various machinery. Faulty on bearing cause severe equipment damage that lead to high maintenance cost. The development of deep learning has been paid a considerable amount of attention to fault diagnosis on rolling element bearing. Traditional machine learning such as Artificial Neural Network and Support Vector Machine have problems of lacking expression capacity, existing the curse of dimensionality, require manual feature extraction and require an additional feature selection. Deep learning model has the ability to effectively mine the high dimensional features and accurately recognize the health condition. In consequence, deep learning model has turned into an innovative and promising research in bearing fault diagnosis field. Thus, this paper tends to proposed Deep Sparse Autoencoder (DSAE) with Teager Kaiser Energy Operator (TKEO) to diagnose the bearing condition. DSAE is one of deep learning model which uses the architecture of neural network. During the analysis, the hyperparameter of DSAE model was optimized by Ant Lion Optimization. The analysis results show that the proposed TKEO-DSAE achieved 99.5% accuracy of the fault diagnosis. The comparative study between proposed model and ANN proved that deep learning model outperform traditional machine learning model on bearing fault diagnosis.
Simulation of Active Force Control Using MR Damper in Semi Active Seat Suspension System
Authors: Rosli R , Mohamed Z , Priyandoko G 
Published: February 2021

Abstract
With the rapid development of electronic sensor and actuator technology, semi-active seat suspension system has become even more practical driven by lower power consumption. Magneto-rheological (MR) dampers are among the best and the most reliable semi active control devices that can produce controllable damping force in seat suspension system to further improve the ride comfort. This paper focus on a new controller scheme named Active Force Control (AFC) to control the damping force of the MR damper to achieve better ride comfort. The phenomenological Bouc-Wen model for MR damper has been simulated in Matlab Simulink to study the effectiveness of the new AFC controller. A sinusoidal signal simulated as vibration source is applied to the seat suspension system to investigate the improvement of ride comfort as well as to ascertain the new AFC controller robustness. Comparison of body acceleration signals from the passive suspension with AFC controller semi active seat suspension system shows improvement to the occupant ride comfort under different vibration intensities.
A Study of Soil Characteristics of Road damages in Jeram, Kuala Selangor
Authors: Intan Najiha A S , Doh S I 
Published: February 2021

Abstract
The main purpose of this research work is to identify the classification and strength of soil does it affected the road damages in Jeram, Kuala Selangor. The most factors influencing road damages in Jeram is an overloading vehicle using the main roads. To achieve the objectives of this paper soil laboratory testing has been done in justify the content of peat soil. Location of study can be categorizing as a plantation soil as there are a majority of land has been use in agricultural sector which are oil palm tree plantation. Besides, oil palm plantation suitable for peat soil land which has less soil strength. Sample of soil were collected in Jeram and bring it to soil mechanics and geotechnical laboratory in UMP. Few tests were being soil classification, particle size distribution, moisture content, density, specific gravity, Atterberg limit and direct shear test. Soil sample from three different roads were chosen which are Jalan Pantai Jeram, Jalan Simpang 3 Jeram and Jalan Tambak Tengah. The road has different criteria from the surface damages which no damages occur, less damage and most damages on road. From the data collected, Jalan Simpang 3 Jeram results the most damages road and the less strength of soil due to high content of peat soil. The soils criteria are located near trench and in the area of oil palm plantation. It also is the main road were used to collect the plantation yield to the factory.
Effect of Fuel Additives (Ethanol) on the Engine Performance Emissions of Single Cylinder Diesel Engine Fueled with Palm Oil Methyl Ester (PME) (B20)
Authors: Rahim Asiah Ab. , Abdullah Nik Rosli , Mazlan Mohamad Hafsham , Sharudin Hazim , Jalaludin Helmisyah Ahmad 
Published: February 2021

Abstract
Transport technology development is a major issue leading to increase the number of vehicles, hence increase emissions and contributing to global warming. In this work the effect of fuel additives (ethanol) on the engine performance and emissions of single cylinder diesel engine fueled with palm oil methyl ester (PME) (B20) were investigated. The tests were performed by varying the engine speed between 2700, 3100 and 3500 rpm with intervals 400 rpm while maintaining the engine load at 50% of rated load. In this study, different fuels which is B0 (100% Pure diesel), B20 (20% PME), E5 (20% PME + 5ml ethanol), E10 (20% PME + 10ml ethanol) and E15 (20% PME + 15ml ethanol) were used. The result indicated that, average brake specific fuel consumption (BSFC) and Brake thermal efficiency (BTE) for usage of E5, E10 and E15 were increased compare with B0 and B20. Meanwhile, average value results of Carbon Monoxide (CO) and Unburned Hydrocarbon (UHC) for E5 was lowered compare to PME (B20). The addition of ethanol with PME (B20) fuel in single cylinder diesel engine can help in controlling exhaust emission and significantly improve engine fuel consumption.
Enhancement of the heat transfer in radiator with louvered fin by using Graphene-based hybrid nanofluids
Authors: Sandhya M , Ramasamy D , Sudhakar K , Kadirgama K , Harun W S W 
Published: February 2021

AbstractNewly developed hybrid nanofluids can enhance heat transfer performance of various automotive appliances. Improved thermophysical properties of this hybrid nanoparticles when used as coolants will enhance the effectiveness of the car radiators with improved engine cooling system. The present study involves the simulation-based analysis of thermal enhancement of Graphene based Hybrid Nanofluids in a Car radiator. System analysis is performed considering single tube component in the radiator for pattern development. CFD analysis is conducted using ANSYS FLUENT module. Graphene/Crystal Nanocellulose hybrid (Graphene + CNC) nanoparticles are suspended in water & ethylene glycol base fluids (40:60) at 0.01%,0.05%,0.1% &0.2 % volume concentration considering at 3-7 LPM inlet mass flow rate. The effect of various volume concentration, inlet temperature and flow rate on Pressure, Enthalpy, Entropy, Heat transfer coefficient, and Heat transfer rate has been examined by simulation. The results indicate that when using a Louvered fin in a radiator, Maximum enhancement of 60% in heat transfer rate, 53% increase of heat transfer coefficient, 65% increase in pressure are achieved for Graphene with CNC hybrid nanofluids when compared with Graphene based nanofluids. Using this type of hybrid coolants along with louvered fin in radiator can significantly improve the heat transfer performance of radiators.
Engine Emissions Analysis of Emulsified Fuel of Different Blend Ratios
Authors: Hassan Hazman Abu , Hagos Ftwi Y , Kadarohman Asep , Sardjono R E , Khoerunnisa Fitri , Zhang Bo , Jiang X X 
Published: February 2021

Abstract
Diesel engines are widely used because of their fuel efficiency in producing a higher mechanical energy ratio compared to gasoline engines. The current study is an extension of these efforts where diesel and biodiesel blend are modified to emulsify and oxygenate through water and alcohol to reduce NOx emissions from the exhaust. Biodiesel on the other hand, has the advantage of being sulfur-free, which reduces the emission of smoke and particulate matters but unfortunately increases NOx emissions. Meanwhile, emulsion fuel is found to lower the temperature of the cylinder during combustion and thus, reduce the release of NOx gas. The oxygenated fuels are tested for their emission behaviors in a four-stroke, single cylinder, water cooled, and direct fuel injection engine evaluated at a speed of 1200 rpm until 2400 rpm with the engine load varied at 0%, 50% and 100%. The method of fuel oxygenation and their effect on the concentration of NOx are discussed. The results have demonstrated a significant reduction in the NOx emission with an increase in the fraction ratio of palm oil biodiesel. The competition to produce high-performance and environmentally friendly fuels has made emulsion fuel and biodiesel renewable fuels believed to be new alternative fuels that emit very little NOx emissions into the atmosphere.
Secondary Metabolites from Colletotrichum phyllanthi, an Endophytic Fungi from Stem of Physalis peruviana and Evaluation of Media Culture
Authors: Pratiwi Amelinda , Hermawati Elvira , Syah Yana Maolana 
Published: February 2021

Abstract
Endophytic fungi is a microorganism that grows in plant tissue without giving any negative effect directly against its host. Phytochemistry studies from endophytic fungi have been widely reported and showed that the metabolites have excellent activities. The exploration of secondary metabolites from endophytic fungi of Physalis peruviana well known as a “cecendet” in Indonesia has never been reported before. Therefore, this research aims to isolate the secondary metabolites of the endophytic fungi from stem of P. peruviana. Five known compounds were isolated from MeOH and EtOAc extract of endophytic fungi Colletotrichum phyllanthi resulted two steroid compounds, ergosterol (1), and ergosterol peroxide (2), from MeOH extract of C. phyllanthi mycelia, and from EtOAc extract of C. phyllanthi. The metabolites production of C. phyllanthi was influenced with composition of media cultures. In this research endophytic fungi was cultivated using Potato Dextrose Broth (PDB) and Tryptic Soy Broth (TSB) media. Two metabolites including tyrosol (3), and uridine (4) were produced by C. phyllanthi through PDB, and another compound that is 1-chloronaphtalene-2-ol (5) was isolated from endophytic fungi while treated by fermentation in TSB. Structure elucidation was achieved using spectroscopic data including 1D, 2D NMR and comparison with reported data. Our results provide a scientific rationale for further explorations into metabolites from endophytic fungi of P. peruviana.
Investigation on stability of TiO2-SiO2 nanofluids with ratio (70:30) in W/EG mixture (60:40)
Authors: Fikri M A , Faizal W M , Adli H K , Bo Z , Jiang X X , Ramadhan A I 
Published: February 2021

Abstract
Nowadays, thermal energy is essential to the protection of the renewable technology ecosystem in the world. Most researchers study nanofluid related to increased demand for thermal energy, which includes the heating and cooling process. The goal of this analysis was therefore to determine the stability of TiO2-SiO2 nanofluids (70:30) suspended in W/EG (60:40). This study will help researchers gain insight into the impact of nanoparticle stability on hybrid nanofluids, which will enable researchers to add nanoparticles to solar collector. TiO2-SiO2 nanofluids with ratio 70:30 was prepared using a one-step process at a volume concentration of 0.3, 0.5, 0.7, and 1.0%. Two of nanoparticles are used, namely TiO2 and SiO2, and distributed in the base W/EG mixture (60:40). The stability investigation of hybrid nanofluids in this research is performed by UV-Vis, visual sedimentation. The findings from this investigation is stability analysis of hybrid nanofluids by UV-Vis process, which is stable up to 10 days after preparation with 2-hour sonication time. For concentration ratio of 1.0% of the volume concentration of hybrid nanofluids. The optimal absorbance value is 2.3 after 24 hours, which is the ideal consistency of the fluid. Concentrations of 0.3, 0.5 and 0.7% begin to decrease after 24 h and continue to decrease until 10 days (240 h).
Effect of n-Butanol Blends on Engine Performance and Exhaust Emission of Compression Ignition Engine Fuelled with Diesel-Palm Oil Methyl Ester (B20)
Authors: Ahmad Mohd Azrul , Abdullah Nik Rosli , Zawawi Zaky Zuhairi , Rahim Asiah Ab , Kadir Hasannuddin Abdul 
Published: February 2021

Abstract
The study aims to evaluate the performance and emission characteristic in a compression ignition engine of conventional diesel fuel-biodiesel blends with different percentage of fuel additive n-butanol. The experiment was operated at a constant engine load (50% throttle condition) with different engine speed (2700, 3100, 3500 rpm). A blend of biodiesel and diesel fuel known as B20 (20% palm oil methyl ester and 80% diesel in volume) was prepared, and then n-butanol was added to B20 at a volume of 5ml, 10ml and 15ml (denote as B20+Bu5, B20+Bu10 and B20+Bu15, respectively) and the tested fuel samples were compared with diesel fuel and diesel-biodiesel (B20). The experimental results show that when the proportion of n-butanol was increased in B20 blends, kinematic viscosity was larger while calorific value was smaller than those of the neat diesel. Although n-butanol have some negative impacts on engine performance parameters, its generally positively affect exhaust emission parameters compared to diesel fuel. According to engine performance and exhaust emission test result of n-butanol fuel blends with B20 blends, average values of brake thermal efficiency (10.19%, 7.58% and 4.29%), carbon monoxide (21.75%, 17.06% and 11.28%), hydrocarbon (18.51%, 15.68% and 12.13%) are lower, while brake specific fuel consumption (BSFC) (27.48%, 45.37% and 59.20%) are higher and carbon dioxide (CO2) and oxides of nitrogen (NOx) are comparable than those of diesel fuel.
Experimental Investigation on the Optical and Stability of Aqueous Ethylene Glycol/Mxene as a Promising Nanofluid for Solar Energy Harvesting
Authors: Kadirgama K , Samylingam L , Aslfattahi Navid , Samykano M , Ramasamy D , Saidur R 
Published: February 2021

Abstract
In this research work, emerged nanomaterial (MXene) and Ethylene Glycol (EG) as base fluid is used to formulate a homogenous mixture of nanofluid with promising optical properties. Amphiphilic structure of ethylene glycol allows the dispersion of water and MXene nanoflakes appropriately. The studied nanofluids are prepared with a mixture of 70 % of EG and 30% of deionized water. The prepared aqueous EG is mixed with Ti3C2 nanoflakes with three different loading concentrations of 0.02, 0.05, and 0.1 wt.%. The Fourier Transform Infrared spectrum (FTIR) of the aqueous EG/MXene nanofluids is measured using a Perkin Elmer Spectrum Two-Universal ATR. Particle analyzer is used to measure the stability of the prepared nanofluids. The experimentally achieved data represents the highest stability with mean zeta potential value of -92.6 mV for aqueous EG/MXene with a loading concentration of 0.02 wt.%. Optical absorbance measurements are performed using Ultraviolet-visible (UV-Vis) spectroscopy. Perkin Elmer Lambda 750 is used to acquire spectra. The result of the observation indicates that the solution of nanofluid with a loading concentration of 0.1 wt. % of Ti3C2 exhibits the highest peak magnitude of light absorbance among the rest of the three samples. This is because of the more mass concentration value of that nanofluid solution, which is proportional to light absorption. Due to the hydrophilic nature of the utilized nanomaterial and base fluid, there is an excellent probability for them to form a potential homogenous mixture of nanofluid, which might accomplish high optical performance in terms of applying at the solar system.
Implementation of the UTAUT Model to Understand the Technology Adoption of MOOC at Public Universities
Authors: Haron Hafiza , Hussin Supyan , Yusof Ahmad Rizal Mohd , Samad Hafiza , Yusof Hafidzan 
Published: February 2021

Abstract
MOOC is a national agenda in the institutions as it is addressed in the 11th Malaysian Plan, the National Economic Model, Economic Transformation Programme and the Malaysian Education Blueprint. Recently, have witnessed the development of massive open online courses (MOOCs) as a learning trend in the field of open distance education and online learning. As it is considering new technology for us, a research towards its acceptance is essential. This study examines the adoption of MOOC deployment among students at Universiti Kebangsaan Malaysia (UKM). The survey was used in this research where data were collected from 400 respondents and then analysed using Structural Equation Modelling (PLS-SEM). The findings were obtained based on Unified Theory of Acceptance and Use of Technology (UTAUT) model. The result shows that performance expectancy, effort expectancy, social influence and facilitating condition have influenced the respondents to use MOOC in their learning. This research exposed that the UTAUT factors implemented in this study have a significant effect to behavioural intention in order students use MOOC technology. It illustrates the positive impact of these technologies and beneficial to understand the MOOC adoption for all students, especially at public universities and in the area of online learning perspective.
Hole Introduction Effect on The E-Glass WR 185 Fibre Reinforcement Polyester
Authors: Ilhamdi  , Hidayat D , Sepriyani D E 
Published: February 2021

Abstract
Challenge to use a light structural material for aero vehicle could be answered by fibre reinforced polymer composite. This composite has high ratio of strength to weight. In application this composite should be in mechanical assembling such as bolt. So that, investigation of hole introduction on the composite integrity and behaviours are needed. In this study, E-glass WR 185 fibres used as reinforcement in polyester BQIN EX 157 matrix. The composite made by hand lay-up methods; in which 13 layers of E-glass fibres were laminated one by one layer with polyester resin. After dried up, composite was cut off to made specimen for density, tensile and compression test. Some of tensile and compression specimens were drilled (marked as “open hole specimen”) in their centre. The result showed density of 1.12 g/cm3, maximum strength of 178 MPa (tensile) and 130 MPa (compressive). Introducing an open hole reduced strength to 119 MPa (tensile, decreased ∼33%), and to 112 MPa (compressive, ∼14%). Reducing strength is well confirmed with change of failure type; from lateral at grip top (LAT) to lateral gage middle (LGM). LGM of the open hole specimen means crack starting from the hole to both of lateral direction.
Numerical Study on Various Position of Multiple Water Tanks toward Earthquake on High-rise Building
Authors: Ishak Izzul Syazwan , Hamid Norhayati Abdul , Amin Norliyati Mohd 
Published: February 2021

Abstract
Earthquake can cause many problems to the structures, which lead to building collapse and may takes humans life. One of the effort to reduce the structural response is by introduce the damping system to the buildings where the energy of the system is slowly reduced until the vibration of the system is totally eliminated and the system is brought to rest. Several techniques are available nowadays, however passive control system has advantage in term of cost especially in Malaysia where the earthquake is not the major threat like in Japan but it is good to tune existing water tank to became a passive damper where it is there went situation needed. The objective of the present paper is to analyse the practicality of implementing multiple water tank as passive Multiple Tuned Liquid Damper and finding the best position of water tanks, which would reduce peak response of the structure subjected to seismic forces using SAP2000. 15 multi-storey concrete structure attached with five water tanks with 3 different situation of water tanks location under consideration. In order to study the depth ratio parameter, the water level was varies for each situation such as ¼ tank for all water tanks, half tanks for all water tanks and ¾ tank for all water tanks. The results shows that Position 2 filled with ¾ water has highest significant reduction in term of structural displacement which is 12.6mm compare to other water tanks positions and water level.