bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of the method of measuring crack resistance by the introduction of the vickers indentor for aluminum oxynitride ceramics
Authors: Prosvirnin D V , Prutskov M E , Larionov M D , Kolmakov A G 
Published: January 2020

Abstract
Results are given after studies of materials on the aluminum oxynitride (AlON) for their surface crack resistance using. The comparison of fracture toughness data obtained by the two methods and two types of ceramics. Assessment of fracture toughness data in comparison with the results from the literature in the field of ceramic materials research..
New polymorphic varieties of boron nitride with structure similar to graphyne
Authors: Ryashentsev D S , Belenkov E A 
Published: January 2020

Abstract
Seven new layer polymorphic varieties of boron nitride, with a structure similar to the structure of the α, β and γ types of graphyne layers, were theoretically studied. The calculation of the structure and electronic properties was carried out by the ab initio method of the density functional theory. The sublimation energy varies from 16.29 eV (BN)−1 (minimum for the BN-α-L6 layer) to 17.00 eV (BN)−1 (maximum for the BN-γ1-L6 layer). The structure of BN polymorphs differs in the values of the Def parameters characterizing the relative degree of deformation of their structure. The band gap of the boron nitride layers varies from 2.14 to 4.02 eV.
Lecture and non-lecture week baseline energy model development and energy prediction in Malaysia educational building
Authors: Mustapa R F , Dahlan N Y , Yassin A I M , Nordin A H M 
Published: January 2020

Abstract
The development of baseline energy models and prediction of energy consumption in educational buildings especially universities are heavily depending on its operation period. The main operation period can be divided into two period i.e. lecture week and non-lecture week. Possible independent variable candidates that may have an effect towards energy consumption during this two period differ with each other. In addition, spaces that occupies the educational building such as classrooms, laboratories and office rooms within the same building operates differently depending on its operation period. In order to achieve accurate baseline energy models in educational buildings, the operation period have to be considered based on the independent variables that will have an effect towards the energy consumption. Thus, the twofold objectives of this paper are to develop a baseline energy model for two operation period in educational buildings and predicting the energy consumption using multiple linear regression model. One building in a university compound was selected as a case study for modelling and prediction purposes. Independent variables were selected based on the two-period mentioned and from the modelling and prediction results, the independent variables that were selected gives a high coefficient of correlation (R2) value which suggest that the independent variables effect the educational building’s energy consumption.
A review: Partial discharge detection using acoustic sensor on high voltage transformer
Authors: Akashah N A , Rohani M N K H , Rosmi A S , Isa M , Rosle N , Ismail B , Wooi C L 
Published: January 2020

Abstract
Partial discharge (PD) is an electrical discharge which is one of the most critical breakdown factor that is affecting the electrical equipment. The loss of the power will affect consumers and system operation. High voltage (HV) transformer is one of the equipment’s subjected to phenomena PD. In this paper reviews an application of acoustic methods in transformer and piezoelectric sensors application on PD detection in HV transformer. Based on this review, the new design in acoustic sensor is required in order to improve the sensitivity and bandwidth for PD detection at HV transformer. The valuable parameter such as materials, size, and PD frequency range were discussed in this paper and can be used for early stage on designing new acoustic sensor. This detection method given some benefits on preventing the power electrical system from breakdown.
Influence of PD source and AE sensor distance towards arrival time of propagation wave in power transformer
Authors: Khalid K N , Rohani M N K H , Ismail B , Isa M , Rosmi A S , Wooi C L , Yii C C 
Published: January 2020

Abstract
Partial discharge (PD) often begins with cracks or gas-filled voids in solid insulation or with gaseous bubbles in liquid insulation. These presences can degrade the quality of insulator. PD detection can identify these cracks at high voltage equipment such as power cables and power transformer at the early stage. One of PD detection methods is acoustic emission (AE) detection. PD produces an ultrasonic signal that can be captured by an AE sensor. The signal captured is then analysed by capturing the time of the receiving signal onto the sensor. The information related to time can be used for allocating the PD for maintenance purpose. This paper shows the influence of the distance between PD source and the AE sensor towards the arrival time of propagation wave in power transformer. In this study, the four placements of sensors were analysed by having three possible PD sources to represent the variety of distances between the PD source and the sensor. The simulated signal is generated by MATLAB and the arrival time is captured using time of arrival (TOA) method. The time captured and the distance between the PD source and arrival time showed that the relationship is proportional to one another.
Load shedding analysis on microgrid during island mode
Authors: Najihah Abu Bakar Nur , Muhamad Azmi A’lia Najwa , Rosle N. , Sufiah Abd Wahid Siti , Sufian Ramli Mohd 
Published: January 2020

Abstract
This paper evaluates implementation load shedding strategy in island mode of microgrid(MG). Microgrid normally operates in interconnected mode either with the medium voltage(MV) and low voltage(LV) network. Microgrid can function both in grid and island mode connected. As electricity demand increases, microgrid deployment becomes an attractive option to meet energy demands. Microgrid during utility grid failure, however, suffers from crucial stability problems come from many aspects. Load Shedding Strategy (LSS) is one of the method used to sustain operation of power system in stable state. The main objective in this paper is to analyze the implementation of Load Shedding Strategy (LSS) on two different cases. The simulation model developed from a mix of generator, photovoltaic cell of source and the lumped load. ETAP software was used in analysing the result.
Simulation of multiple pulse width modulation (MPWM) transformerless photovoltaic inverter (TPVI) system
Authors: Masri M , Irwanto M , Alam H , Mashor Y M 
Published: January 2020

Abstract
Pulse width modulation technique is always applied in the design of inverter. The output voltage waveform of inverter is not relative pure sinusoidal, especially if it is applied linear pulse width modulation. A non-pure sinusoidal voltage waveform can affect the life time of inverter and also the alternating current (AC) loads. The inverter always also uses a transformer that can increase the losses and reduce the efficiency. A technique of multiple pulse width modulation (MPWM) is suitable to be applied in the transformerless photovoltaic inverter (TPVI) system. It can generate pure sinusoidal voltage waveform and increase the performance of inverter. This paper presents a simulation of MPWM TPVI system using SIMULINK MATLAB. It consists of pulse driver circuit to drive four MOSFETs in the full bridge inverter circuit with the output voltage waveform still multiple pulse wave and it is converted to be pure sinusoidal voltage waveform by applying a LC filter circuit.
Microgrid synchronization using power offset through a central controller
Authors: Syahril M , Roslan M A , Ismail Baharuddin 
Published: January 2020

Abstract
A high penetration of renewable energy in power systems gives rise to the inverter based distributed generators (DG) in the current microgrid system. With the ability of microgrid to operate in both islanded and grid connected mode, a robust and reliable coordination and synchronization between the DGs and the utility grid is crucial to provide a seamless transition between operation modes. Droop based technique is the most popular method in microgrid system, however, voltage or current transient are present during mode transition. A power offset synchronization technique is proposed to provide a seamless transition between modes of operation. The results show that the mode transition is smooth and seamless without any voltage or current transients.
Design and simulation of single phase inverter using SPWM unipolar technique
Authors: Farhana Abdul Hamid Nurul , Alleef Abd Jalil Muhammad , Syafiqah Syahirah Mohamed Nor 
Published: January 2020

Abstract
This paper presents the design and simulation of single-phase inverter using sinusoidal pulse width modulation (SPWM) unipolar technique. The circuit has been designed and simulated using the Matlab/Simulink program. Metal Oxide Semiconductor Field Effect Transistor (MOSFET) has been used as a switch. The project aims to use the Matlab/Simulink program to design, analyze and control switching for inverter circuits. Single-phase inverter circuits are divided into three main divisions which are the inverter part that consists of the MOSFET switch, the control circuit which generates switching pulses generated through the microcontroller and filter parts that contain inductors, capacitors and resistors to reduce harmonic. The results of the experiment show the output of the sine wave with the output voltage of 230 V and 50 Hz.
Electric vehicle with sliding mode control super-twisting control strategy
Authors: Ghazali A K , Hassan M K , Radzi M A M , As’arry A 
Published: January 2020

Abstract
The braking system is the crucial part in vehicle system. The main purpose of braking system is to slow down or stop the moving vehicle. The regenerative braking system (RBS) designed to recapture more energy during braking. The electric vehicle dynamic model was design using Matlab/Simulink. Sliding mode controller with super-twisting (SMCST) was designed to avoid overcharging and improved the batteries’ SOC. Conventional sliding mode control (SMC) shows convergence within the desire level of accuracy, in which chattering is the main issue related to destructive phenomenon. SMCST intentionally to eliminate chattering with high accuracy. The results from the simulation show that the super-twisting control strategy offers higher regeneration efficiency.
Design of a single phase series-parallel current injection resonant converter with wireless power transmission
Authors: Firdaus Mohd Zin Mazratul , Nawawi Seroji Mohammad , Abdul Kadir Ermeey 
Published: January 2020

Abstract
This paper proposes a new circuit topology of single phase AC to DC Series-Parallel Current Injection Resonant Converter (SPCIRC) with wireless power transmission function. Thus, characteristics are accomplished such as shaping the current waveforms of the sinusoidal line with improved power factor resulting in small total harmonic distortion (THD). This is implemented by employing the resonant conversion technique, involving two active soft switches that generate high frequency currents. The circuit operation is explained and the analysis of the converter is presented. The full detailed circuit simulation is then carried out to ascertain the workability of the converter and its ability to operate with wireless power transmission. As a result, a low input current THD of 3.52% was obtained with 130V output DC voltage when supplied by 240V AC input voltage. The efficiency of the proposed SPCIRC is calculated as 87.5%. The current injection topology’s main operation is described in detail.
Forecasting Electric Load Demand through Advanced Statistical Techniques
Authors: Silva Jesús , Senior Naveda Alexa , García Guliany Jesús , Niebles Núñez William , Hernández Palma Hugo 
Published: January 2020

Abstract
Traditional forecasting models have been widely used for decision-making in production, finance and energy. Such is the case of the ARIMA models, developed in the 1970s by George Box and Gwilym Jenkins [1], which incorporate characteristics of the past models of the same series, according to their autocorrelation. This work compares advanced statistical methods for determining the demand for electricity in Colombia, including the SARIMA, econometric and Bayesian methods.
Intelligent Model for Electric Power Management: Patterns
Authors: Viloria Amelec , Hernández Palma Hugo , Gamboa Suarez Ramiro , Niebles Núñez William , Solórzano Movilla José 
Published: January 2020

Abstract
When talking about electric power, the first thing to think about is whether enough electrical energy is generated to use without paying attention to it, similar to thinking that water will never runs out, but when faced with extreme droughts, people think that water can be depleted and they must save. In this sense, electrical energy must be saved and used completely and that is why the term energy efficiency is born. This new trend seeks to save electric power to avoid electricity supply shortages, as when countries face phenomena such as El Niño that generate droughts in some areas and rains in others. So, saving energy is a trend because it is important to be prepared for these phenomena, and guaranteeing a sustainable country. This document shows the importance of energy savings, as well as the need to design intelligent models that help to support the reduction of the problem of excessive consumption of electricity.
NaOH treated Kenaf/Glass hybrid composite: The effects of nanosilica on longitudinal and transverse tensile properties
Authors: Manap Norhashidah , Jumahat Aidah , Abd Rahman Norhanifah , Ain Abd Rahman Nur 
Published: January 2020

AbstractNanocomposite has been one of recent study interest among researcher, scientists, and students. With public consciousness about environment, there is a change in using environmental friendly’s materials. With the incorporation of nanotechnology, the strength of the composite shouldn’t be sacrificed because of the use of natural fibre. Kenaf has been studied extensively and has been one of the candidates to be used in composite and with hybridizing with glass fibre, The strength of the composite could be retained to be used widely. In this study, nanosilica was impregnated in hybrid kenaf and glass epoxy composite to and was tested for its longitudinal and transverse tensile properties. From this study, incorporation of nanosilica in hybrid kenaf and glass epoxy composite help to increase its tensile modulus up to 34.52%, and longitudinal tensile strength up to 13.64%.
The study of photovoltaic systems performance using various azimuth angles and solar array tilt positions
Authors: Poobalan Banu , Abdul Hamid Haziah , Hasnizam Hanafi Noor , Chin Leong Wooi 
Published: January 2020

Abstract
The study of photovoltaic energy and load predictions have become essential with the increase of energy demand. The objective of this paper is to present an analytical study on the performance of photovoltaic system with various azimuth angles and solar array tilt positions. The output power of a solar module is mainly dependent on its tilt position, solar irradiation, type of solar cell, and the technical properties of the module. The data used in this work consist of two different locations. The outcome of this work shows that the energy production influenced heavily on the weather conditions, location, azimuth angles and tilt positions. Within this work, parameters such as planes-of-array irradiance, net to inverter output power, net to grid output power and performance ratio have been studied. The developed analytical study is anticipated to provide a better understanding on the energy production and load usage in accordance with suitable tilt angle of solar array in a specific location.
Design of an autonomous standing frame prototype for older adults with motorized disability
Authors: Terán Héctor C. , Arteaga Oscar , Chiluisa Kléber , Morales Klever D. , Kevin Pérez O , Andrés G , Pérez  , Llano Edison J. 
Published: January 2020

Abstract
This paper shows the mechanical design of a mechatronic system focused on providing assistance to older adults with motor disabilities. The main objective is to keep these people standing on their lower extremities, facilitating their mobility and at the same time providing greater support to their body structure. The mechanical design of the permanent station was developed using CAD (Computer Aided Drawing) software, including concept design, structural analysis and selection of mechanical actuators; elements designed for this mechatronic system. In addition, it shows the study to ensure ergonomics and safety for users using standards UNE-EN ISO 10535-2006, UNE-EN IEC 60601-1-2010 and EN 13480-2-2002 with the compliance of a structural safety factor through the software CAE (computer-assisted engineering), as well as the adaptability of the design of the system to the various anthropometric measures of the world demographic environment.
Prototyping a RF signal-based lightning warning device using with Internet of Things (IOT) integration
Authors: Hwang Y J , Wooi C L , Rohani M N K , Mehranzamir K , Arshad S N M , Ahmad N A 
Published: January 2020

Abstract
Lightning had caused at least 25, 000 deaths worldwide each year. The study aims to investigate the induced voltage generated by lightning strikes using a lightning detector. Proteus software was employed to simulate the main board of the lightning detector before fabrication. The lightning detector was designed as a radio frequencies receiver and it was tuned to the level (300 kHz to 500 kHz) which enabled it to receive signals from lightning strikes. A lightning simulator was designed using various resistance (100 Ω to 200 Ω) to test the functionality of a lightning detector in order to validate the accuracy of the proposed model. This lightning detector could be activated whenever a small induced voltage (0.2 V and above) were generated by lightning events occurred within 10 km from the detector. This detector captures both the induced voltage and the time difference detected lightning discharge and its sound for further analysis. The time to thunder method was employed to find the estimated lightning discharges distances in parallel to this system in order to validate the current lightning detector. The accuracy of the lightning detector was found to be 88.03%.The analysed data were delivered to the user’s smartphone using cloud system
L / C / X Triple band compact dipole array antenna for RADAR application
Authors: Koushick V , Divya C , Lakshmi G 
Published: January 2020

Abstract
This article describes about L / C / X triple band compact dipole array antenna for RADAR communication using FR-4 Substrate. The proposed antenna is designed over a range of 1.0–10.0 GHz. The objective of the paper is to achieve appreciable basic antenna parameters for ease adaptation in Monolithic Microwave Integrated Circuits (MMIC) Technology. It is able to preserve its high recital over RADAR Communication system operating at Triple band (L, C, X – band) microwave frequency range. The proposed structure resonates at L / C / X Microwave bands and thus the antenna becomes inevitability for numerous wireless applications. The antenna is fictitious on a substrate with height of 1.6 mm, length 48mm, width 60mm and a relative permittivity of 4.2. The proposed antenna yields a VSWR of about 1.74 (1.70 GHz), 1.66 (6.70 GHz), 1.26 (8.30 GHz) and gain of 2.56 dBi (1.70 GHZ), 1.78 dBi (6.70 GHz) and 3.94 dBi (8.30 GHz) under simulation. The antenna is designed and simulated using HFSS, which helps to obtain the antenna parameters such as VSWR, gain and Return loss.
A real time face emotion classification and recognition using deep learning model
Authors: Hussain Shaik Asif , Salim Abdallah Al Balushi Ahlam 
Published: January 2020

Abstract
Facial Detection and recognition research has been widely studied in recent years. The facial recognition applications plays an important role in many areas such as security, camera surveillance, identity verification in modern electronic devices, criminal investigations, database management systems and smart card applications etc. This work presents deep learning algorithms used in facial recognition for accurate identification and detection. The main objective of facial recognition is to authenticate and identify the facial features. However, the facial features are captured in real time and processed using haar cascade detection. The sequential process of the work is defined in three different phases where in the first phase human face is detected from the camera and in the second phase, the captured input is analyzed based on the features and database used with support of keras convolutional neural network model. In the last phase human face is authenticated to classify the emotions of human as happy, neutral, angry, sad, disgust and surprise. The proposed work presented is simplified in three objectives as face detection, recognition and emotion classification. In support of this work Open CV library, dataset and python programming is used for computer vision techniques involved. In order to prove real time efficacy, an experiment was conducted for multiple students to identify their inner emotions and find physiological changes for each face. The results of the experiments demonstrates the perfections in face analysis system. Finally, the performance of automatic face detection and recognition is measured with Accuracy.
Time Series Decomposition using Automatic Learning Techniques for Predictive Models
Authors: Silva Jesús , Hernández Palma Hugo , Niebles Núñez William , Ovallos-Gazabon David , Varela Noel 
Published: January 2020

Abstract
This paper proposes an innovative way to address real cases of production prediction. This approach consists in the decomposition of original time series into time sub-series according to a group of factors in order to generate a predictive model from the partial predictive models of the sub-series. The adjustment of the models is carried out by means of a set of statistic techniques and Automatic Learning. This method was compared to an intuitive method consisting of a direct prediction of time series. The results show that this approach achieves better predictive performance than the direct way, so applying a decomposition method is more appropriate for this problem than non-decomposition. The agricultural sector will be used as the study subject.
Mining Spatial Co-location Patterns from Vague Set
Authors: Shijian Gao , Jiankun Yu 
Published: January 2020

Abstract
The target of mining spatial co-location patterns is discovering spatial association rule from spatial database, which plays an important role in many fields, investigate the distribution of plants for instance. Vague set extend the concept of fuzzy set, more flexible in terms of express and process fuzzy information. Some concepts such as vague spatial neighborhood relationship, vague participation ratio and vague participation index are defined in this paper first, after that, vague data filter rule and the algorithm of mining co-location patterns form vague set are proposed, the efficient prune strategy is presented in order to improve the efficiency of algorithm finally. The significance and efficiency of the techniques we propose are verified by experiments.