bluuebunny/crossref_metadata_2025_split huggingface dataset:
Interval forecasting model for time series based on the fuzzy clustering technique
Authors: Vovan T , Phamtoan D 
Published: March 2021

Abstract
This paper proposes the forecasting model for the fuzzy time series based on the improvement of the background data and fuzzy relationship (IFTC). This algorithm is built based on the fuzzy cluster analysis which the suitable number of clusters for series is considered. The problem of interpolating data according to fuzzy relationships of time series in the trapezoidal fuzzy number is also established. The proposed model is illustrated step by step by a numerical example and effectively implemented by the Matlab procedure. The IFCT has advantages in comparing to other models via the several indexes such as the MAE, MAPE and MSE with the Enrollment dataset.
Noise filtering algorithm for control of motion systems
Authors: Wah Hnin Lae , Sin Aung Myo Thant 
Published: March 2021

Abstract
Measurement noise and external disruptions are problematic in real world applications and every control system design. These unwanted disturbances affect the measured output signal and cause the system to provide an inaccurate output. We need to eliminate these noises for stabilizing of the control system design. In this paper, we propose how to eliminate effectively the noises in motion control systems using the Kalman filter. We investigate practically the Kalman filtering algorithm based on the measurements generated by the encoder sensor fixed on DC motor. The Kalman algorithm is used for noise filtering because it is recursive algorithm and it can handle the noises that occur when the sensor is used to read data. The performance of KF method is enhanced by adjusting its parameters according to the innovation requirements. In the experimental results, the velocity estimation of the Finite-difference (FD) method is demonstrated to compare with the velocity estimation of the Kalman filtering (KF) method.
Sliding speed effect in press-fit connection using Finite Element Analysis
Authors: Ubando A T , Gonzaga J , Conversion A , Belarmino D , Arriola E , Lim N R E , Moran R L , Mercado J P 
Published: March 2021

Abstract
Solderless press-fit contacts in power module packages are now gaining more attention in the automotive industry especially in hybrid electric vehicles because of the Restriction of Hazardous Substances (RoHS) directive to eliminate lead-based connections. The production of press-fit assembly is also faster, more convenient, safer, and cheaper than soldered connections. In this paper, the effect of insertion speed of pin to the press-in force as well as the pull-out speed to the retention force was investigated using finite element analysis. An eye-of-the-needle (EON) shape compliant pin with general dimensions was adapted and a transient structural analysis in ANSYS mechanical was used to add and vary the speed of the press-fit pin geometry. Four simulations were conducted with different speeds. The results obtained by FEA show that the speed when kept at constant has no significant effect both on the press-in and retention force. However, when the speed changes due to acceleration, the press-in and pull-out force are both affected.
Study on replication of a nonlinear dynamical system’s trajectory using a machine learning technique
Authors: Truong Tri Quoc 
Published: March 2021

Abstract
Nonlinear system exhibits various solution orbits depending on varying parameters. It is important to detect the system’s behavior. In some cases, however, the mathematical modeling of the dynamic is completely unknown. By using a recent advance in the Machine Learning technique named Reservoir Computing, we replicate the solution orbits based only on data collected along with time evolution. We numerically confirm the effectiveness of Reservoir Computing in time series prediction.
Using ANFIS technique in prediction of reverse flow in a solar chimney
Authors: Huynh Minh-Thu T , Doan Thinh N , Nguyen Y Q 
Published: March 2021

Abstract
In solar chimney, in order to save resources in Computational Fluid Dynamics (CFD), this study aims to combine Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict reverse flow and investigate the ventilation performance. The inputs to the model are heat flux in the range of 200-1000W/m2, gap of 0.04-0.25m and height of 1-1.4m, while outputs are penetration depth and mass flow rate. The results of R2 and RMSE are reasonable for training and testing data, hence the ANFIS model is validated.
100kW grid-connected renewable energy system design for an educational campus in Tarlac: A step towards green energy campus development
Authors: Rombaoa Adam 
Published: March 2021

Abstract
This paper discussed the design of a grid-connected renewable energy system for an education institution. One-year energy consumption and the hourly load of the institution were determined to design the energy system. HOMER Pro and What’sBest! 16.0 for Microsoft Excel optimization tools were used in the design, consisting mainly of wind turbines and solar PV. Weibull probability function and the simplified irradiance model were used to predict the wind turbine and solar PV power output in the Microsoft Excel spreadsheet. Results showed that the mean velocity at 50 m reference height is 3.886 m/s. The annual solar PV system energy produced based on the HOMER Pro simulation and What’sBest! was found to be 170,939 kWh/yr and 189,454 kWh/yr, respectively. HOMER Pro and What’sBest! iteration results showed that the optimum number of components are 303 and 0 for solar PV and wind turbine, with net present costs of Php 23,388,612 and Php 22,769,478, respectively. With this optimum result, emissions can be reduced by up to 51%, a financial saving of at least Php 1, 970, 145 per year can be achieved with payback period of 5 years.
Design of small scale, axial flux, permanent magnet wind generator in Vietnam
Authors: Tien Le Hung 
Published: March 2021

Abstract
This paper presents the design of light weight, small scale, disk type, axial flux, permanent magnet (AFPM) generator for wind applications. This article also shows the partial works done under state projects in renewable energy in Vietnam to find out the most suitable, reliable, self - made wind generator types for rural and remote areas. The collaboration project of Hochiminh City University (HCMUT) - Hanoi University of Science and Technology (HUST) - Berlin University of Technology (TU Berlin) resulted in some small scale, axial flux, slow speed, permanent magnet (PM) generators which best suited for Vietnam countryside areas. The researches in rare earth PM from HUST, the electrical machine design knowhow of TU Berlin and the renewable energy research experiences of HCMUT, especially in slow speed wind turbines have shown many promising applications. The small scale, permanent magnet wind generator for remote and rural areas as a cheap source of power supply is necessary in Vietnam. Though there are many large wind farms built in many provinces recently but the needs for telecommunication, family lighting in the heights, mountain, unreachable electric grid communes are still necessary. Further research should be done to match the generator for hydro power stations, diesel coupled internal combustion engine. These prospects are very promising.
Energy equity analysis in Metro Manila using household expenditure data
Authors: Tayag Christian Roice , Lopez Neil Stephen 
Published: March 2021

Abstract
Energy poverty in the Philippines has been prevalent, but current energy equity metrics in the Philippines are done only on a national level. Lorenz curve and Gini coefficient are concepts traditionally applied in economics to measure wealth inequality. In this paper, the authors will adapt the methodology used by Jacobson to measure energy inequality in Metro Manila for 2015 using energy expenses of households retrieved from the Family Income and Expenditure Survey conducted and published by the Philippine Statistics Authority every three years containing energy expenses, income, and socio-economic identifiers of a household. The main energy resources listed in the survey are electricity, LPG, kerosene, fuelwood, charcoal, and biomass residue. To translate energy expenses to energy consumption, historical costs available from public records are used in conjunction with the fuels’ calorific values. From there, Lorenz curves and Gini coefficients are calculated for districts and cities in Metro Manila. Further comparison reveals the relationship of income and energy consumption Gini coefficients in the region. Based on the results, the authors include recommendations to improve the use of Lorenz curve and Gini coefficient as a metric in quantifying energy equity.
Experimental Study in Measuring Pressure Loss at Micro Channel
Authors: Hendrarsakti J , Huda R M , Junianto E 
Published: March 2021

AbstractThe objective of study was to conduct experimental study in measuring the pressure loss due to the major and minor loss in fluid flow at straight and bent micro channel. Test channel had circular cross-sections with hydraulic diameters of 118 µm to 1203 µm for straight and 348 to 1203 for bent micro channels. The results showed that losses for larger diameter of straight channel were well predicted. The bent channel showed that the loss coefficient values were higher if the Reynolds number got smaller.
The Efficiency Estimate of PV Cell under various wind velocities
Authors: Nguyen Duy Tue , Nhut Do Tri 
Published: March 2021

Abstract
It is a good chance to harness solar energy for Vietnam to geographic location is near to the equator with the high intense radiation. Photovoltaic (PV) cell is the device to convert directly solar energy into electrical energy. However, its efficiency is strictly impacted by the PV cell surface’s temperature which depends on wind velocity, surrounding temperature, radiation and dust. For a long time, computational modelling has been a good choice for engineers to simulate their products. Currently, some softwares like Ansys Fluent, Comsol Multiphysics are chosen to simulate the thermal performance of product. In this paper, authors used Computational Fluid Dynamic (CFD) – Autodesk to estimates the PV cell temperature, then find out its corresponding efficiency. A 3 dimensions model of PV cell with some layers was created by Inventor software, and then simulated under various wind velocities like 0.5m/s, 1.5m/s, 2.5m/s, 3.5m/s, 4.5m/s, 5.5m/s and 6.5m/s to find out the PV cell corresponding temperatures. The solar radiation parameter in Ho Chi Minh city in April was established for simulation. With the same surrounding temperature at 30°C, the result shows that the highest PV cell surface’s temperature of 84.8°C with wind velocity of 0.5m/s will drop to 49.81°C with the wind velocity of 3.5 m/s. When the wind velocity is continue increased, the drop of temperature is trivial. The PV cell efficiency at wind velocity of 6.5m/s is only 2.75% higher than that of wind velocity of 3.5m/s. Therefore, when choosing cooling PV cell by air, the air velocity should be chosen at 3.5 m/s to save energy.
Eutectic potassium chloride (KCl) solution as phase change material (PCM) for fish cold storage
Authors: Sukoco R K , Indartono Y S , Mujahidin D 
Published: March 2021

Abstract
Traditional fishermen need to buy ice blocks every time they go fishing, thus impacting their expenses. To potentially save money, an alternative solution using phase change material (PCM) is proposed. PCM contained properly is reusable, thus reducing expenses for fishermen. Eutectic potassium Chloride (KCl) solution is utilized as PCM, which has melting temperature of -10.7 °C and heat of fusion of 253 kJ/kg. The PCM is used to substitute ice as the currently primary source to chill fish in storage. The solution is contained in an aluminium-foil zip-lock bags, each containing 670 grams of solution. The experiment uses two Polystyrene boxes, one containing 10 pouches of eutectic KCl solutions as PCM and the other containing ice cubes with the same mass. Two kg of fish is stored for 24 hours in each box. Thermal analysis shows that the box temperature containing KCl solution is steady for the 24 hours of experiment. Starting to be steady at -2.8 °C from room temperature, the box temperature increases slowly, reaching only 2.1 °C after 24 hours. Organoleptic test shows that the fish stored inside KCl box loses 1.39 quality points on average, compared to 1.89 in ice box after 24 hours. Therefore, the fish in the PCM box is slightly fresher than the one stored using ice cubes.
Transport Emissions Modeling using Google Maps: An alternative approach for vehicle flow analysis
Authors: Rito J E , Lopez N S 
Published: March 2021

Abstract
Continuous measurements of transport emissions are considered key issues for air pollution management in the transportation sector. In some instances, researchers may come across difficulties in doing transport emissions modeling such as overcomplexities and laborious methodologies. In this regard, the authors are introducing a novel method of doing a transport emissions modeling by utilizing Google Maps data. By getting the average travel time of a road segment and the corresponding length, the average speed can be obtained. This speed will be used to identify the flow of vehicles in terms of Passenger Car Unit (PCU) through a speed-flow curve on the basis of a Roadside Frictions Index (RSFI). PCU percentages are derived from the actual counting of vehicles using the street view features of Google Maps. Once the PCU count and the PCU percentages are established, the actual number of vehicle flow per type can now be determined. Consequently, emissions loads are calculated by multiplying the vehicle flow and road length to emissions factors derived from reliable sources.
Using Logarithmic Mean Divisia Index method (LMDI) to estimate drivers to final energy consumption and emissions in ASEAN
Authors: Lisaba E B , Lopez N S 
Published: March 2021

Abstract
The ASEAN is currently trying to mitigate the amount of CO2 emissions per country. This is not only to contribute to the worldwide goal of lessening greenhouse gases, but to also ensure the safety of its member states by combatting the effects of climate change. The effects as stated by the IPCC, such as rising water levels, rising ambient temperature, and an increase in the frequency of tropical storms, can greatly endanger members of the ASEAN. It must be noted that a majority of its members are archipelagic, have areas of extreme poverty, and rely on agriculture for production. Therefore, the temporal logarithmic mean Divisia index (LMDI) has been conducted in order to determine the possible drivers that cause the changes in CO2 emissions per year for all ASEAN member countries. The drivers of CO2 were divided into the population, economic activity, energy intensity, and energy structure effects. CO2 emissions per fuel type were calculated using their respective emission factors. Knowing which drivers constitute the most CO2 emissions in a country would help pinpoint which areas could be worked on. It was found that Indonesia, Brunei Darussalam, and Lao PDR had the most impressive decrease in CO2 emissions due to energy intensity and structure effects. A majority of the other countries have either stayed constant or even increased CO2 emission output per year from each effect. Therefore, general policies based on the success of these countries that could be applied for each member country are recommended in this study.
Assessment breaking strength the chassis of Multi-purpose forest fire fighting vehicle
Authors: Tung Nguyen Thanh , Van Luong Van , Van Nguyen Thai 
Published: March 2021

Abstract
Chassis is a main component of the automobile, during the operation of the chassis, it is fail to fatigue damage or break. Therefore, in the process of designing the chassis, it is important to study the durability to destroy the chassis. The paper presents the results of analysing breaking strength chassis of multi-purpose forest fire fighting vehicle by Ansys Workbench software to determine stress, strain in some cases of road movement. The results of the study underlie a scientific for completing the structure of multi-purpose forest fire fighting vehicle.
Effects of hybrid flame-retardant fillers on fire-resistive and mechanical properties of solvent-borne intumescent coatings
Authors: Yew Ming Chian , Ooi Guo Jie , Yew Ming Kun , Saw Lip Huat , Beh Jing Han , Ng Tan Ching , Yeo Wei Hong 
Published: March 2021

Abstract
The aim of this research project was to investigate the effects of hybrid flame-retardant fillers on the fire protection and mechanical properties of solvent-borne intumescent coatings. Formulations of intumescent coatings with different combinations of flame-retardant fillers were developed and investigated through Bunsen burner test, adhesion strength test and Scanning Electron Microscopy (SEM). It was found that the formulation of intumescent coating was optimized with four combinations of flame-retardant fillers in proper compositions and had improved the fire protection performance and mechanical properties of the coating. In overall, filler compositions of coating sample D (1 wt.% nano CES/ 2 wt.% expandable graphite/ 1 wt.% zinc borate/ 4 wt.% calcium silicate) had contributed to positive fire protection performance (equilibrium temperature of 190 °C) and adhesion strength (2.62 MPa). Significantly, the incorporation of an appropriate combination of hybrid nano CES bio-filler, expandable graphite, zinc borate and calcium silicate had led to a better fire protection performance and mechanical properties of the solvent-borne intumescent coating.
Influences of macro polypropylene fibre-reinforced lightweight concrete incorporating recycled crushed LECA aggregate
Authors: Yew Ming Kun , Yew Ming Chian , Beh Jing Han , Saw Lip Huat , Lim Siong Kang , Lee Foo Wei , Lee Yee Ling 
Published: March 2021

Abstract
The huge amount disposal of light expanded clay aggregate (LECA) had become a serious environmental issue across the globe which represents an immediate threat to the environment. One of the potential solutions is to incorporate these wastes into construction materials, mainly concrete. These waste materials are abundant and easily available. The addition of recycled crushed LECA creates void space in the concrete which helps in decreasing the density of concrete, and reducing the dead loads needed to be sustained for buildings. In this study, different volume fraction (0, 0.15, 0.3 and 0.45%) of macro polypropylene (MPP) fibre have been used to enhance the strength properties of lightweight concrete (LWC). The combination of lightweight LECA and MPP fibre have been used to achieve compressive strength between 25 to 40 MPa with a density ranged between 1800 to 2100 kg/m3. It is found that the addition of MPP fibres at an optimum volume fraction concrete enhances the compressive strength. Hence, the findings of this research revealed that it can be used as an alternative solution for concrete industry.
Comparison of vibrations of high-speed bearings driven by flat layer belts
Authors: Murcinkova Z 
Published: March 2021

Abstract
The paper presents the results of comparison measuring of absolute vibrations for textile machine driven by flat layered belts with high velocity 50-60 m/s. The dynamic properties of flat belt are important as the flat belt surface is in direct contact with shaft of special textile bearing (115,000-135,000 rpm). Interaction of textile bearing vibration and driven belt may produce significant amplitude and frequency vibration modulation influencing the torsional vibrations and kinematic slip of rolling elements and additional loading of cage. Thus, the bearing life is significantly shortened what is undesirable effect. However, the dynamic properties of driving flat belt are able to influence the vibration of high-speed bearing as it was measured. The two tested flat belts involved one polyester and aramid fabric, respectively, keeping same temperature, belt tension, rotational speed and driven forty bearings. The belt involving the aramid fabric brought the promising results.
Manufacturing lateral flow tests for tuberculosis diagnosis: choosing a reactants completion and sensing regime
Authors: Byzova N A , Sotnikov D V , Zherdev A V , Dzantiev B B 
Published: March 2021

Abstract
To develop technologies for rapid out-of-laboratory diagnoses of tuberculosis based on the level of specific antibodies, the requirements for the antibody preparations and their combinations used in the analysis were studied, as well as procedures for the manufacture of a multimembrane composite. A comparative characterization of various recombinant antigens in terms of diagnostic sensitivity and specificity was carried out. The possibility of increasing the diagnostic sensitivity to 15%–20% when using multi-antigen mixtures (cocktails) of antigens was shown. The requirements for the manufacture of multi-membrane composites—test strips for diagnostics—were determined. The correspondence of the minimum detectable level of specific antibodies to the diagnostic threshold of 0.2 mg/ml was shown. Testing of test systems via the most effective cocktails of antigens on blood samples from healthy and sick subjects was carried out.
Study of engineering properties of lightweight geomaterial (LWGM) stabilized by Waste of Buton Asphalt
Authors: Marfu’ah N , Harianto T , Irmawaty R , Muhiddin A B 
Published: March 2021

Abstract
Material with high strength but has the lightest density that can be tolerated is the main purpose of doing a research about soil improvement. This research aims to develop a lightweight geomaterial (LWGM) by substituting of the soft soil with Expanded Polysterene (EPS) which is stabilized with Waste of Buton Asphalt (WBA). The variation of the WBA used was 3%, 5%, 7% and 9%, while the variation of the EPS used was 0.15% and 0.30%. Curing of the specimens was carried out for 7 and 28 days to see the effect of curing on the pozzolanic reaction to the specimens strength. The test results shows that soil substitution with EPS reduce the density by 10% - 25%. Even though it decreased comparing to the strength of the sample without additional of EPS, the CBR and UCS LWGM values are still classified as good performance and can be tolerated. Based on the results of curing samples, during the curing period of 7 days, the CBR value increased up to 5 times at 0.15% EPS and 4 times at 0.30% EPS. Meanwhile, during the 28-day curing period, the CBR value increased up to 10 times at 0.15% EPS and 6 times at 0.30% EPS. Meanwhile, the UCS value after curing 7 days is 12 times - 48 times and after curing 28 days is 15 times - 63 times greater than untreated soils.
Incident Clustering in the Warehouse Workspaces by Using Text Mining
Authors: Syaani F A , Irhamah  , Mukarromah A , Fithriasari K 
Published: March 2021

AbstractIncidents can occur anytime and anywhere whether intentional or unintentional, especially in the industrial area. To prevent the incident, an analysis is needed to find out the patterns that formed based on the information from incident reports. The goals of company are to be able to identify and take action to deal quickly if some incident happens. Text Mining is done by applying the bigram technique to form the incident patterns. The analytical method used is K-Means Clustering and Hierarchical Clustering. In addition, a feature selection is also used by applying the Genetic Algorithm method to obtain optimal features. The results obtained state that the feature selection process is very influential on the formation of incident clusters. When compared, the K-Means Clustering and Hierarchical Clustering methods have different effects on each warehouse sector. The best results in the Sector of Life Style and Sector of Technology are formed by using the K-Means Clustering method while in the Sector of Consumer, Retail and SPL the best cluster results are obtained based on the Hierarchical Clustering method.