bluuebunny/crossref_metadata_2025_split huggingface dataset:
Classification of The NTEV Problems on The Commercial Building
Authors: Mat Yusoh Mohd Abdul Talib , Asman Saidatul Habsah , Yasin Zuhaila Mat , Abidin Ahmad Farid 
Published: January 2019

Neutral to Earth Voltage (NTEV) is one of power quality (PQ) problems in the commercial building that need to be resolved. The classification of the NTEV problems is a method to identify the source types of disturbance in alleviating the problems. This paper presents the classification of NTEV source in the commercial building which is known as the harmonic, loose termination, and lightning. The Euclidean, City block, and Chebyshev variables for K-Nearest Neighbor (K-NN) classifying are being utilized in order to identify the best performance for classifying the NTEV problems. Then, S-Transform (ST) is applied as a pre-processing signal to extract the desired features of NTEV problem for classifier input. Furthermore, the performance of K-NN variables is validated by using the confusion matrix and linear regression. The classification results show that all the K-NN variables capable to identify the NTEV problems. While the K-NN results show that the Euclidean and City block variables are well performed rather than the Chebyshev variable. However, the Chebyshev variable is still reliable as the confusion matrix shows minor misclassification. Then, the linear regression outperformed the percentage close to a perfect value which is hundred percent.
Performance of Support Vector Machine in Classifying EEG Signal of Dyslexic Children using RBF Kernel
Authors: Zainuddin AZA , Mansor W. , Y. Lee Khuan , Mahmoodin Z. 
Published: January 2019

Dyslexia is referred as learning disability that causes learner having difficulties in decoding, reading and writing words. This disability associates with learning processing region in the human brain. Activities in this region can be examined using electroencephalogram (EEG) which record electrical activity during learning process. This study looks into performance of Support Vector Machine (SVM) using RBF kernel in classifying EEG signal of Normal, Poor and Capable Dyslexic children during writing words and non-words. Discrete Wavelet Transform (DWT) with Daubechies order 2 was employed to extract the power of beta and theta waves of EEG signal. Beta and Theta/Beta ratio form the input features for classifier. Multiclass one versus one SVM was used in the classification where RBF kernel parameters and box constraint values were varied with the factor of 10 to analyze performance of the classifier. It was found that the best performance of SVM with 91% overall accuracy was obtained when both kernel scale and box constraint are set to one.
Usability Analysis of Business Intelligence Tool Based Table Virtualization
Authors: Ul Haq Muh Zia , Suharjito Suharjito 
Published: January 2019

<p>The use of Business Intelligence for Small-Mid Enterprise (SME) no longer impeded by the size of the resources required. The study in this paper provides an overview of how the use of proposed software can be used as an effective and efficient alternative solution in building BI Tools combined with table virtualization utilization in SQL. To know the level of usability and suitability of the developed BI Tool, the researcher conducted evaluation and analyzation using 2 (two) tools (Heuristics Evaluation and UMUX-Lite). The result found the comparison between the output (Business Intelligence Tool) produced by PHP Report Maker has a better level of usability and suitability than its competitors. Although both are in a decent median, the output needs preferences and customizations to achieve maximum functionality like well-known other development software. </p>
Educational Data Mining and Analysis of Students’ Academic Performance Using WEKA
Authors: Hussain Sadiq , Abdulaziz Dahan Neama , Ba-Alwi Fadl Mutaher , Ribata Najoua 
Published: January 2019

<p class="Abstract"><span lang="EN-GB">In this competitive scenario of the educational system, the higher education institutes use data mining tools and techniques for academic improvement of the student performance and to prevent drop out. The authors collected data from three colleges of Assam, India. The data consists of socio-economic, demographic as well as academic information of three hundred students with twenty-four attributes. Four classification methods, the J48, PART, Random Forest and Bayes Network Classifiers were used. The data mining tool used was WEKA. The high influential attributes were selected using the tool. The internal assessment attribute in the continuous evaluation process makes the highest impact in the final semester results of the students in our dataset. The results showed that random forest outperforms the other classifiers based on accuracy and classifier errors. Apriori algorithm was also used to find the association rule mining among all the attributes and the best rules were also displayed.<em></em></span></p>
Load Balance: Energy Efficient Routing Protocol in Wireless Sensor Network
Authors: Masood A. Mohamed Divan , Muthusundar S. K. 
Published: January 2019

<p>Energy consumption is one of the major issue in Wireless Sensor Network (WSN) which reduces the lifetime of the network. In this developed work an Cluster based Energy Efficient Routing Protocol (CBEERP) , which is gathering the sensor hubs in the system into clusters, in this manner it productively decreased the flooding traffic during discover the routing. The proposed CBEERP will balance the Energy in the Group by using some second order nodes. The reinforcement High effective hubs replace the cluster head after the cluster reaches to its threshold energy level. This CBEERP will help the effectiveness and lifetime of the system.</p>
Multiplexer Based Multiplications for Signal Processing Applications
Authors: Sinha Pankaj Kumar , Sharan Preetha 
Published: January 2019

<p>In signal processing, Filter is a device that removes the unwanted signals. In any electronic circuits, Filters are widely used in the fundamental hands on tool. The basic function of the filter is to selectively allow the desired signal to pass through and /or control the undesired signal based on the frequency. A signal processing filter satisfies a set of requirements which are realization and improvement of the filter. A filter system consists of an analog to digital converter is used to sample the input signal, traced by a microprocessor and some components such as memory to store the data and filter coefficients. Filters can easily be designed to be “linear phase” and it is easy to implement. In this paper, the birecoder multiplier (BM) is designed in terms of VLSI design environment. The proposed multiplier is implemented by using VHDL language and Xilinx ISE for synthesis. The multiplier is mainly used for image processing applications as well as signal processing applications.</p>
Performance Development of A BLDC Motor Driven Water Pump Using KY Converter
Authors: Priya Anu , Sasilatha Sasilatha 
Published: January 2019

<p>This paper presents a performance investigation of bldc motor employing KY converter. Conventional The landsman converter is used to minimize the ripples but the inverter produces high output power ripples, which in turn affect the output of the inverter in The proposed KY converter reduces ripples and smooth dc supply gives to the inverter then it will used to operate brushless dc motor, which inturn improves the motor performance. the electronically commutated brushless DC with voltage source inverter can be operated at fundamental frequency is to reduce switching losses which output in higher efficiency.</p>
Tracing Mathematical Function of Age Specific Fertility Rate in Peninsular Malaysia
Authors: Noor Mathivanan Norsyela Muhammad , Ab Ghani Puzziawati , Md.Ghani Nor Azura 
Published: January 2019

<p>The size, structure, and composition of a population are affected by the fertility rates at any point of time. Many researchers took the opportunity to exploit the fertility rates in obtaining better fertility patterns for their country. The curve for the age specific fertility rate is consistent, and this feature allows the curve to be matched with a mathematical model. This paper aimed to identify the best mathematical model that fits the recent age specific fertility rate in Peninsular Malaysia. This study fitted the fertility data of Peninsular Malaysia from 1996 to 2014 to the four mathematical models, which were Hadwiger, Gamma, Beta, and Gompertz models. From the comparisons of the four models, it was found that the best fitted mathematical model is Hadwiger model. In relation to the data of early 21st century, there was an inclination for the best fitted mathematical model from Hadwiger model to Beta model. Hence, the best mathematical model for each year can be used to convert a fertility schedule classified in a five-year age group into a fertility schedule for a single-year of age in Peninsular Malaysia. This model also can be helpful for population projections by using limited and defective data. </p>
SVPWM for 3-phase 3-level Neutral Point Clamped Inverter Fed Induction Motor Control
Authors: R Palanisamy , Vijayakumar K. 
Published: January 2019

<p>This paper gives Space Vector Pulse Width Modulation (SVPWM) for 3-phase 3-level Neutral Point Clamped (NPC) inverter fed induction motor control. A conventional two level inverter with 3-phase system has been developed for induction motor control. When it is applied for high voltage and power applications, which increases the voltage stress across the switch and harmonic content in the output. So multilevel inverter is much suitable for induction motor control, which provides nearly sinusoidal output voltage and diminished harmonic content in the output. Also the stator current of induction motor is minimsed, speed and torque of induction motor controlled with appropriate switching NPC inverter using SVPWM method. The proposed system simulation are verified using matlab simulink. </p>
A simple constant switching frequency of direct torque control of brushless DC motor
Authors: Ahmad Tarmizi Yusnida , Jidin Auzani , Abdul Karim Kasrul , Sutikno T. 
Published: January 2019

This paper discusses about direct torque control of Brushless DC motor by injecting the triangular waveform and using PI controller in order to reduce the torque and obtain constant switching frequency. Brushless DC motor are widely used in applications which require wide range of speed and torque control because of robust, longer lifespan, faster torque response and able to operate at high speed. Unlike conventional three phase DTC of induction machine (IM),the proposed DTC approach introduces two phase conduction mode. Besides that, the magnitude flux is considered constant in which the results only gains from constant torque region. Thus, the flux control loop is eliminated while implement this scheme. Using the triangular waveform that will be compare with actual torque, the proper switching pattern can be selected to control the generated torque and reducing commutation torque ripple. The torque response depends on the speed of the stator flux linkage which is directly controlled by selecting appropriate voltage space vectors from a look-up table to make sure the torque error within the band. The validity of the proposed control scheme for constant switching frequency and reduce torque ripple are verified through simulation and experimental results.
Unified Power Quality Conditioner Supplied by Fuel Cell System Via SEPIC Converter
Authors: Slimane Benadid , Othmane Abdelkhalek , Abdelkader Abdallah Ben 
Published: January 2019

<p>This paper presents a combined operation of the Unified Power Quality Conditioner (UPQC) with Fuel cell system (FC). The proposed system consists of a series inverter, a shunt inverter and a Fuel cell that is connected with the DC link of UPQC through a back boost converter, where it is a SEPIC converter. The mean purpose for using the SEPIC converter is ensuring a constant DC link voltage value and to make the FC system intervening only in the case when the DC link energy is insufficient. Excepting this case, the FC system will be in the standby state. To validate the proposed topology, several sags of source voltage have been applied, at the point of common coupling (PCC).The simulation results from MATLAB/SIMULINK are discussed to verify the proposed topology. </p>
Motion control applications: observer based DC motor parameters estimation for novices
Authors: Pillai Branesh M , Suthakorn Jackrit 
Published: January 2019

<span>Estimation of motor inertia and friction components is a complex and challenging task in motion control applications where small size DC motors (&lt;100W) are used for precise control. It is essential to estimate the accurate friction components and motor inertia, because the parameters provided by the manufacturer are not always accurate. This research proposes a Sensorless method of determining DC motor parameters, including moment of inertia, torque coefficient and frictional components using the Disturbance Observer (DOB) as a torque sensor. The constant velocity motion test and a novel Reverse Motion Acceleration test were conducted to estimate frictional components and moment of inertia of the motor. The validity of the proposed novel method was verified by experimental results and compared with conventional acceleration and deceleration motion tests. Experiments have been carried out to show the effectiveness and viability of the estimated parameters using a Reaction Torque Observer (RTOB) based friction compensation method.</span>
Adaptive fuzzy sliding mode based MPPT controller for a photovoltaic water pumping system
Authors: Miqoi Sabah , El Ougli Abdelghani , Tidhaf Belkassem 
Published: January 2019

<span>The applications of photovoltaic energy are steadily increasing. However, the output power of a photovoltaic system is influenced by the meteorological conditions (temperature and irradiation), which can affect the production and efficiency of the photovoltaic panel energy. So to ensure that the photovoltaic panel produces its maximum power possible at any time and regardless of the external conditions, we use the equipment called MPPT (maximum power point tracker). Sliding mode control is recognized by its stability and robustness and widely used in non-linear systems but represents a disadvantage because of the chattering phenomena. So in order to overcome this problem and improve this control, we opted to add to it the adaptive fuzzy control which will adapt the switching gain. This controller is named AFSMC (adaptive fuzzy sliding mode control) and will be compared the sliding mode controller SMC in order to see the difference and to the P&amp;O (perturb &amp; observe) method to validate this controller. Our system consists of a photovoltaic panel a DC-DC boost converter and a centrifugal pump with a DC motor. All simulations are carried out under MATLAB/SIMULINK and the extracted results show the efficiency of the AFSMC controller and confirm that the new methods have improved energy efficiency and production</span>
NSGA-II and MOPSO based optimization for sizing of hybrid PV/wind/battery energy storage system
Authors: Hlal Mohamed Izdin , Ramachandaramurthya Vigna K. , Padmanaban Sanjeevikumar , Kaboli Hamid Reza , Pouryekta Aref , Tuan Abdullah Tuan Ab Rashid bin 
Published: January 2019

<span lang="MS">This paper presents a Stand-alone Hybrid Renewable Energy System (SHRES) as an alternative to fossil fuel based generators. The Photovoltaic (PV) panels and wind turbines (WT) are designed for the Malaysian low wind speed conditions with battery Energy Storage (BES) to provide electric power to the load. The appropriate sizing of each component was accomplished using Non-dominated Sorting Genetic Algorithm (NSGA-II) and Multi-Objective Particle Swarm Optimization (MOPSO) techniques. The optimized hybrid system was examined in MATLAB using two case studies to find the optimum number of PV panels, wind turbines system and BES that minimizes the Loss of Power Supply Probability (LPSP) and Cost of Energy (COE). The hybrid power system was connected to the AC bus to investigate the system performance in supplying a rural settlement. Real weather data at the location of interest was utilized in this paper. The results obtained from the two scenarios were used to compare the suitability of the NSGA-II and MOPSO methods. The NSGA-II method is shown to be more accurate whereas the MOPSO method is faster in executing the optimization. Hence, both these methods can be used for techno-economic optimization of SHRES. </span>
Hybrid electromagnetic suspension for high-speed vacuum transport
Authors: Grebennikov Nikolay , Kireev Alexander , Kozhemyaka Nikolay , Kononov Gennady 
Published: January 2019

<span>The given paper presents a hybrid electromagnetic suspension designed for high-speed vacuum transport, where the main levitation force is generated by permanent magnets, while the electromagnet controls the air gap. The computer model is designed by means of MATLAB/Simulink software package, which allows us to simulate the dynamic operational modes of the system. The calculated studies are carried out when the vehicle accelerating to 1000 km/h with account of track irregularities. Permanent magnets incorporated in the system of electromagnetic suspension make it possible to reduce the energy consumption needed for levitation force generation. </span>
Testing of a Solar-PV/Wind operated AC-DC Microgrid with LabVIEW Controller
Authors: Thomas Vinu , Athikkal Sivaprasad , Sundaramoorthy Kumaravel , Sankar Ashok 
Published: January 2019

This paper discusses about a LabVIEW based controller for the hybrid renewable energy system operated AC-DC microgrid with the major objectives of: i) predicting the power generation potential of the solar–PV and wind generators ii) effective power management iii) load scheduling based on the available power with the renewable sources and iv) grid/islanding mode of operation of the microgrid. In order topredict the output power of wind generator and Solar-PV system, an artificial neural network is developed.The laboratory-scale model of three phase, 400 V, 10 kVA microgrid structure is developed at National Institute of Technology Calicut, India. The developed LabVIEW based controller has been tested successfully for a real-time load and source in the laboratory environment. Test results show that the designed controller is effectively managing the output powerof the primary energy sources under different scenarios.
Side Effects of Damping Element Insertion in LCL Filter for DC/AC Inverter
Authors: Samman Faizal Arya , Hasan Ma'arif , Damayanti Tirza 
Published: January 2019

The negative impacts or side effects of a damper circuit insertion in an LCL passive filter utilized to filter DC/AC inverters output voltage is presented in this paper. For comparative study, this paper discusses two damping configurations, namely series and parallel damping, as well as the LCL filter without damping element. Four criteria are used to explore the impacts of the damper circuits, i.e. their total harmonic distortions (THDs), the output voltage amplitude, the output power and the power efficiency. Theoretically and emphirically shown by previous studies, the damper can indeed reduce the peak resonance frequency of the filter in its frequency response curve. However, in any circumstance, it can potentially reduce the inverters power and efficiency, voltage output amplitude, and cannot improve its THD reduction. The analysis results have shown that the side effects depends also on the load conditions, which are different for each damping circuit configuration.
Design and Analysis of In-Wheel Double Stator Slotted Rotor BLDC Motor for Electric Bicycle Application
Authors: Farina S. , Firdaus R.N. , Azhar F. , Azri M. , Ahmad M. S. , Suhairi R. , Jidin A. , Sutikno Tole 
Published: January 2019

<p>This paper discusses about design and analysis of double stator slotted rotor (DSSR) BLDC motor for electric bicycle application. Usually single stator (SS) BLDC motor is used in an electric bicycle. This type of motor has low performance and need to be charged regularly. The objective of this research is to design and analysis DSSR motor that have high torque. At starts, design specification for the electric bicycle is calculated. Next, design process for DSSR is carried out by using the desired parameter. Lastly, analysis for double stator slotted rotor is simulated using FEM. Result for average back emf, average inductance, inner stator flux density, outer stator flux density, average torque and estimate torque constant is obtained. Result for average torque from FEM archieve the requirement of motor torque for DSSR design where the maximum average torque is 16.2 Nm. This research will give benefit to mankind and society in term of environment protection and energy consumption.</p>
Direct Torque Control Strategy of PMSM Employing Ultra Sparse Matrix Converter
Authors: Yuhendri Muldi , Ahyanuardi Ahyanuardi , Aswardi Aswardi 
Published: January 2019

Matrix converter is a good choice for Permanent Magnet Synchronous Motor (PMSM) drives, because it has high power density and does not require dc-link energy storage. the disadvantages of conventional matrix converter is using 18 active switches, so it becomes expensive and the modulation method becomes more complicated than back to back converter. To minimize this problem, this paper proposes variable speed drive of PMSM using Ultra Sparse Matrix Converter (USMC) based on Direct Torque Control (DTC) methods. This converter uses only 9 active switches, making it cheaper than conventional matrix converter. DTC is designed based on Space Vector Modulation (SVM) to reduce torque and flux ripples due to the hysteresis control in conventional DTC. The simulation results show that DTC based SVM using USMC effectively controls the rotor speed with low torque and flux ripples.
Implementation of Type-2 Fuzzy Logic Controller in PMSM Drives Using DSP
Authors: Wahsh Said , Ahmed Y. , Elzahab Abo 
Published: January 2019

This paper presents interval type-2 fuzzy logic (IT2FL) controller applied on a direct torque controlled (DTC) permanent magnet synchronous motor (PMSM), using digital signal processing (DSP). The simulation of PMSM with space vector pulse widths modulation (SVPWM) inverter presented under several operating condition. To verify the simulation results a hard ware setup is prepared and tested at several operating conditions using dspace 1102 DSP model. The experimental and simulation results are in agreement and the torque dynamic response is very rapid and the system achieves the steady state in a very short time.
Cuckoo Search Based DTC of PMSM
Authors: Yassin Amir , Wahsh Said , Badr M. 
Published: January 2019

<p>Hysteresis controllers (HC) are used to limit the torque and flux in the control band in conventional configuration of direct torque control (DTC) while in the space vector pulse width modulated (SVPWM) DTC, the HC are switched to PI or PID controllers. This paper presents a modern approach for the speed control applied on a DTC of a permanent magnet synchronous motor (PMSM) using the Cuckoo Search Optimization (CSO) algorithm in order to optimize the PI speed controller parameters of the outer loop and PID flux and torque controllers of the inner loop. The system is tested at no load and with a step change in load.</p><p>The performance of the controllers is presented and the results of simulation indicate a very rapid dynamic response and the system achieves the steady state (SS.) in a very short time. Also it shows that both the SS. and dynamic performances are improved by applying of the CSO algorithm. The proposed DTC simulation model of the PMSM is presented using MATLAB / SIMULINK and capable of simulating both the steady-state and dynamic response. The CSO results are compared with another control strategy that incorporates fuzzy logic controller (FLC) with DTC.</p><p> </p>