bluuebunny/crossref_metadata_2025 huggingface dataset:
Multiple Human Body Postures Detection using Kinect
Authors: Samad Rosdiyana , Yan Law Wen , Mustafa Mahfuzah , Hasma Abdullah Nor Rul , Pebrianti Dwi
Published: January 2019

This paper presents a method to detect multiple human body postures using Kinect sensor. In this study, a combination of shape features and body joint points are used as input features. The Kinect sensor which used infrared camera to produce a depth image is suitable to be used in an environment that has varying lighting conditions. The method for human detection is done by processing the depth image and joint data (skeleton) which able to overcome several problems such as cluttered background, various articulated poses, and change in color and illumination. Then, the body joint coordinates found on the object are used to calculate the body proportion ratio. In the experiment, the average body proportions from three body parts are obtained to verify the suitableness of golden ratio usage in this work. Finally, the measured body proportion is compared with Golden Ratio to determine whether the found object is a real human body or not. This method is tested for various scenarios, where true positive human detection is high for various postures. This method able to detect a human body in low lighting and dark room. The average body proportions obtained from the experiment show that the value is close to the golden ratio value.
Fabricating Modish Mobile Application for a Visionless Citizen to Act as a Visioned Citizen
Authors: V Jananee , P Shalini , S Dhivya
Published: January 2019

Technology has its wide range of applications in every field potentially even on the Mobile technology. One of the technologies which accomplish the blind person in android mobile is Virtual Reality. In spite of virtual reality is engaged to effectuate the operations, the blind person attention is one of the most important statistics. Although mobile devices include operative features available for amaurotic users, the user interface of the greater part of the mobile apps is designed for sighted people. If they carry out any mistakes to use the apps it may lead to a wrong call. So, one may think of a technology that diminishes the anxiety of a blind person for using apps. The proposed system converts the text into audio for giving the directions to the blind person about the gestures inferred. For such conversion a technique called speech synthesizer is used. Assorted innovative tools are used in mobile phones. Blind people need to confide in normal person for creating and updating a contact. Our project incorporates the gestures from the blind people and confirms the gestures through voice. Gesture conversion is accomplished by using haptic technology. An amaurotic person can create a new contact and they can invoke the contact by using this voice confirmation. During calling if there is multiple contact list, caller setting are initialized and ask the preference from the blind people, progress the voice call.
Novel Metamaterial Structures with Low Loss at Millimeter Wave Frequency Range
Authors: Esmail B. A. F. , Majid H. A. , Dahlan S. H. , Abidin Z. Z. , Rahim M. K. A. , Dewan R.
Published: January 2019

Two novel millimeter-wave (MMW) metamaterials (MTMs) unit cells operate at 28 GHz for a future fifth generation (5G) mobile network applications had been designed, presented and numerically investigated. Two MTM structures are proposed; namely the double E-shaped resonator (DER) and T-U shaped resonator (TUSR). The DER and TUSR are consists of a double E and combined T-U shaped, each printed on front side of the substrate layer respectively. DER achieves a bandwidth of 0.5 GHz and a return loss of -34 dB, whereas TUSR features a bandwidth of  0.3 GHz and a return loss of -18 dB. The conventional split range resonator (SRR) was optimized to operate at similar frequency for comparison purpose. The simulation results revealed that the proposed DER and TUSR unit cells achieves the lowest loss as opposed to literature with -0.09 dB (0.99 in linear scale) and -0.23 dB (0.97 in linear scale) respectively. Moreover, a well-known algorithm was used to extract the constitutive parameters and the double negative nature of the two novel MTM structures is proven.
Disparities in the Induced Rain Attenuation between Beacon (Narrowband) and Broadband Satellite Links in Tropical Zones
Authors: Abubakar Idrissa , Din Jafri , Lam Hong Yin
Published: January 2019

The utilisation of higher frequency bands above 10 GHz by the satellite industries to provide the bandwidth (BW) required for broadband multimedia services, video conferencing, direct-to-home TV programmes and IP data requires the understanding of atmospheric losses and good link planning for satellite-to-earth links. The trade-off between the service availability, data rate and BW determine the type of modulation scheme and error corrections to be employed. These services also depend on the link performance under adverse atmospheric conditions, especially rain-induced attenuation. In this research, study measurements were conducted on space-to-earth satellite links using the beacon narrowband and broadband IP carrier signals of a Nigcomsat-1R satellite operating at 42.5°E. A VSAT receiving terminal at a latitude of 7.4°N, longitude of 9.04°E and altitude of 334 m above sea level was utilised to quantify the rain-induced attenuation of both the beacon and broadband signals during rain events. The measurements were then compared with the link performance under clear sky conditions. The performance revealed that, when compared with the broadband signal, the induced rain attenuation on beacon signal presented a disparity in the responses, resulting in significant variations of 10.14 dB in the carrier-to-noise ratio (C/N) and 17.42 dB in the received signal level at a Ku-band frequency of 12.518 GHz. These observations were also compared with the Crane global rain map and ITU-R P.618-12. Both models disagreed with the measurement values for Abuja, Nigeria.
Adaptive Interference Mitigation with User Grouping for Fast Transmission in Cellular Networks
Authors: Ab. Ghani Hadhrami , Abd Aziz Azlan , Azizan Azizul , Mohd Daud Salwani
Published: January 2019

Designing uplink systems which group users with adaptive interference mitigation techniques is the objective of this research. Reduction in error rates and improvement in the energy efficiency is expected with this approach in addition to spectral efficiency. This paper reports a study on interference mitigation and transmission designs for groups of users in the uplinks. New formulations for the interference mitigation are produced based on the minimum mean square error and successive interference cancellation approach. By reducing the interference, the energy efficiency can be maintained and improved although the number of users per group increases. The measured error rates of this approach with user grouping achieve gains between 1 to 3 dB against that of the existing approach. With reduced complexity, the proposed scheme should be viable for practical deployment.
A Model for Processing Skyline Queries in Crowd-sourced Databases
Authors: Swidan Marwa B. , Alwan Ali A. , Turaev Sherzod , Gulzar Yonis
Published: January 2019

Nowadays, in most of the modern database applications, lots of critical queries and tasks cannot be completely addressed by machine. Crowd-sourcing database has become a new paradigm for harness human cognitive abilities to process these computer hard tasks. In particular, those problems  that are difficult for machines but easier for humans can be solved better than ever, such as entity resolution, fuzzy matching for predicates and joins, and image recognition. Additionally, crowd-sourcing database allows performing database operators on incomplete data as human workers can be involved to provide estimated values during run-time. Skyline queries which received formidable attention by database community in the last decade, and exploited in a variety of applications such as multi-criteria decision making and decision support systems. Various works have been accomplished address the issues of skyline query in crowd-sourcing database. This includes a database with full and partial complete data. However, we argue that processing skyline queries with partial incomplete data in crowd-sourcing database has not received an appropriate attention. Therefore, an efficient approach processing skyline queries with partial incomplete data in crowd-sourcing database is needed. This paper attempts to present an efficient model tackling the issue of processing skyline queries in incomplete crowd-sourcing database. The main idea of the proposed model is exploiting the available data in the database to estimate the missing values. Besides, the model tries to explore the crowd-sourced database in order to provide more accurate results, when local database failed to provide precise values. In order to ensure high quality result could be obtained, certain factors should be considered for worker selection to carry out the task such as workers quality and the monetary cost. Other critical factors should be considered such as time latency to generate the results.
PAPR Reduction Techniques in Generalized Inverse Discrete Fourier Transform Non-Orthogonal Frequency Division Multiplexing System
Authors: Mokhtar Iram Maisarah , Ahmad Norulhusna , Kaidi Hazilah Mad , Mohd Izhar Mohd Azri , Mohamed Norliza
Published: January 2019

A promising system of Generalized Inverse Discrete Fourier Transform Non-Orthogonal Frequency Division Multiplexing (GIDFT n-OFDM) system can fulfil the requirement of supporting higher data rate in Fifth Generation (5G) technology. However, this system experience High Peak to Average Power Ratio (PAPR) due to massive number of subcarriers signal is transmitted. In this paper, three types of usual PAPR reduction techniques were applied in GIDFT n-OFDM system which are Clipping, Partial transmit Transform (PTS) and Selective Mapping (SLM). The system performance is compared and evaluated using Complementary Cumulative Distribution Function (CCDF) plot. Simulation results show that SLM technique give significant reduction of PAPR 9 dB of the original performance.
A Low Quiescent Current Fast Settling Capacitor-less Low Drop Out Regulator Employing Multiple Loops
Authors: Alapati Suresh , Sreehari Rao Patri
Published: January 2019

This paper presents a fast transient and low noise capacitor-less LDO using multiple loops. The proposed LDO exploits adaptive biasing, bulk modulation and a fast reacting control loop for achieving high performance striking reasonable tradeoffs among quiescent current, transient response and stability. The proposed LDO offers a load regulation of 0.095µV/mA while consuming quiescent current of 16 µA. It exhibits a load transient of 134.23mV with a settling time of 240.8ns against 0 to 100mA load variation with 40pF output capacitor. It exhibits an integrated noise of 31.027 pV2 /Hz at 10 Hz for a maximum load current of 100mA. The proposed LDO is designed using 0.18-µm 1P6 CMOS process.
On-Body Transmission Single-Band Diamond Dipole Antenna with Waveguide Jacket
Authors: Abdullah M. A. , A Rahim M. K. , Samsuri N. A. , Kamardin K.
Published: January 2019

This paper presents the investigation of on-body transmission single-band diamond dipole antenna with three different jackets. The jackets are named as normal jacket, grounding jacket and waveguide jacket. The on-body transmission is measured using two flexible single-band antennas attach to the jackets. A man with the height of 180 cm and 75 kg weight becomes as a model for the real measurement. The measurement is conducted in small space area by using portable network analyzer with flexible network cable. The measurement results show that the best performance for on-body transmission is with waveguide jacket. 10 dB transmission improvement is archived when the antenna is placed above the waveguide jacket compared to the normal jacket. It is found that the transmission of the antenna is also depends on the antenna orientation and further transmission lossess occur when the antennas are placed above the grounding jacket.
Positioning of a Wireless Relay Node for Useful Cooperative Communication
Authors: Amjad Tariq Muhamad , Ahmed Elsheikh Elsheikh Mohamed
Published: January 2019

Given the exorbitant amount of data transmitted and the increasing demand for data connectivity in the 21st century, it has become imperative to search for pro-active and sustainable solutions to the effectively alleviate the overwhelming burden imposed on wireless networks. In this study a Decode and Forward cooperative relay channel is analyzed, with the employment of Maximal Ratio Combining at the destination node as the method of offering diversity combining. The system framework used is based on a three-node relay channel with a source node, relay node and a destination node. A model for the wireless communications channel is formulated in order for simulation to be carried out to investigate the impact on performance of relaying on a node placed at the edge of cell. Firstly, an AWGN channel is used before the effect of Rayleigh fading is taken into consideration. Result shows that performance of cooperative relaying performance is always superior or similar to conventional relaying. Additionally, relaying is beneficial when the relay is placed closer to the receiver. 
Multilayer End Coupled Band Pass Filter using Low-Temperature Co-Fired Ceramic Technology for Broadband Fixed Wireless
Authors: Ambak Zulkifli , M. Hizan Hizamel , Abdul Rahim Ahmad Ismat , Ibrahim Azmi , M. Yusoff Mohd Zulfadli , Ngah Razali
Published: January 2019

This paper presents design approach for realizing multilayer End Coupled Bandpass Filter (ECBPF) using low temperature co-fired ceramic (LTCC) technology at TMRND's LTCC Lab. Design method for the ECBPF is based on the coupled-resonator filter which was realized in LTCC multilayer substrate and operating at the center frequency of 42GHz. Three samples of EC BPF have been designed, simulated, fabricated and investigated in terms of performance and structure size.This multilayer ECBPF were fabricated in the 8 layers LTCC Ferro A6S materials with dielectric constant of 5.8, loss tangent of 0.002 and metallization of gold. The measured insertion loss for ECBPF was 2.43dB and return loss was 22.81dB at the center frequency at 42GHz. The overall size of the fabricated filter was 6.0 mm x 2.5 mm x 0.77 mm.
Enhance Cascaded H-Bridge Multilevel Inverter with Artificial Intelligence Control
Authors: Sim S.Y. , Chia C.K. , Utomo W.M. , Goh H.H. , Buswig Y.M.Y. , Lim A.J.M.S. , Kek S.L. , Bohari A.A. , Cham C.L,
Published: January 2019

This paper proposed a 7-level Cascaded H-Bridge Multilevel Inverter (CHBMI) with two diffenrent controller, ie, PID and Artificial Neural Network (ANN) controller to improve the output voltage performance and achieve a lower Total Harmonic Distortion (THD). A PWM generator is connected to the 7-level CHBMI to provide switching of the MOSFET. The reference signal waveform for the PWM generator is set to be sinusoidal to obtain an ideal AC output voltage waveform from the CHBMI. By tuning the PID controller as well as the self-learning abilities of the ANN controller, switching signals towards the CHBMI can be improved.  Simulation results from the general CHBMI together with the proposed PID and ANN controller based 7-level CHBMI models will be compared and discussed to verifyl the proposed ANN controller based 7-level CHBMI achieved a lower output voltage THD value with a better sinusoidal output performance.
Chaotic Local Search Based Algorithm for Optimal DGPV Allocation
Authors: Mustaffa Sharifah Azma Syed , Musirin Ismail , Othman Mohd. Murtadha , Zamani Mohamad Khairuzzaman Mohamad , Kalam Akhtar
Published: January 2019

The advent of advanced technology has led to the increase of electricity demand in most countries in the world. This phenomenon has made the power system network operate close to the stability limit. Therefore, the power utilities are looking forward to the solution to increase the loadability of the existing infrastructure. Integration of renewable energy into the grid such as Distributed Generation Photovoltaic (DGPV) can be one of the possible solutions. In this paper, Chaotic Mutation Immune Evolutionary Programming (CMIEP) algorithm is used as the optimization method while the chaotic mapping was employed in the local search for optimal location and sizing of DGPV. The chaotic local search has the capability of finding the best solution by increasing the possibility of exploring the global minima. The proposed technique was applied to the IEEE 30 Bus RTS with variation of load. The simulation results are compared with Evolutionary Programming (EP)  and it is found that CMIEP performed better in most of the cases.
Effect of Deposition Temperature on Self-Catalyzed ZnO Nanorods via Chemical Vapour Deposition Method
Authors: Shariffudin Shafinaz Sobihana , Saad Puteri Sarah Mohamad , Hashim Hashimah , Mamat Mohamad Hafiz
Published: January 2019

The morphological, structural, optical and electrical properties of ZnO nanorods are investigated as a function of deposition temperature. The ZnO nanorods were grown on ZnO seed catalyst layer at temperatures between 750oC – 825oC using thermal chemical vapour deposition method.  Sample deposited at 825oC showed the highest crystalline orientation. The FE-SEM micrographs and the intense peak along (002) direction in the XRD spectra of this sample implied that the nanorods possess c-axis orientation. PL spectra showed two common ZnO peaks which centered at 380 nm and 540 nm. Two-point probe I-V measurement revealed ohmic behaviour with the gold metal contact, whereby the current increase with the deposition temperature.
Recognition of Metal Objects inside Wall using Antipodal Vivaldi Antenna
Authors: Shaikh Faraz Ahmed , Khan Sheroz , Zaharudin Zarimin , Alam AHM Zahirul , Rahman Farah Diyana Bt. Abdul , Badron Khairayu Bt. , Baillargeat Dominique , Yaacob Mashkuri Bin , Shahid Zeeshan
Published: January 2019

This paper present a recognition technique of metal placed inside and between two walls. A unique scheme of recognition of metallic objects through Ultra Wide Band (UWB) Modified Antipodal Vivaldi Antenna (MAVA) frequency range of (3.1GHz to 10.6 GHz) is presented in this paper.The working mechanism of detection system based on Time Domain Reflectrometry (TDR) using through wall imaging (TWMI). A very small duration pulses generated by Vector Network Analyzer (VNA) which are used for illuminate the wall.The analysis of a system under UWB antenna probe array. The simulation results of MAVA have given an enormous potential of penetration, in order to recognize concealed metal objects with fine precision, proving a smart development in the detection system technology. The improvement of resolution in an image, special filters have been developed and implemented. The design and optimization progression is conceded out via CST simulation software for parametric performance assessment of return loss, radiation pattern and directivity.
Real Time Detection of R – Peak in QRS Complex of ECG using Microcontroller
Authors: N Santipriya , M Venkateswara Rao , V Arun , Karthik R
Published: January 2019

Real-time detection of R peaks in QRS complex of ECG signal is the first step in the processing of ECG waveform. Based on this, various other ECG parameters can be extracted. These parameters provide substantial information about various heart diseases. In this paper, we are proposing a method to detect R – peaks of ECG signal dynamically. The most prominent role in the R – peak detector is executed by the microcontroller. This method originates by acquiring signal from the subject and necessary pre-processing is carried out on the signal in order to achieve the denoised signal. Subsequently, this filtered signal is handed over to microcontroller where a pulse is generated for each R – peak that is found in the QRS complex of ECG signal. The microcontroller is embedded with a signal processing algorithm. The algorithm used to determine the R – peaks is double differentiation method which is straightforward and robust.  
Performance Characteristics of Miniature Photovoltaic Farm Under Dynamic Partial Shading
Authors: Rajagukguk Antonius , Riawan Dedet Candra , Ashari Mochamad
Published: January 2019

This paper presents investigation of  performance characteristic on a miniature photovoltaic farm under dynamic partially shaded condition. Effects of applying bypass diodes in each photovoltaics modul and the transient current of the diode is also investigated. The miniature of PV Farm consisting 4 photovoltaic panels, connected in series to form one string. The whole system comprises 5 photovoltaic strings, which are connected in parallel producing 30 volt and 60 watt peak power fromminiature PV farm.  Shading of 10%, 20 % up to 50 % with dynamically changed is applied. Result from both laboratory tests and simulations is investigated and show very similar.
A Proposed Resistance-to-Time Converter with Switching Impulse Calibrators for Application in Resistive Bridge Sensors
Authors: Zahangir M. , Khan Sheroz , Adam I. , Kadir K. Abdul , Nordin A. N. , Ibrahim S. N.
Published: January 2019

This paper presents a simple resistance-to-time converter. It consists of two voltage comparators, a ramp voltage generator, two logic gates and impulse voltage calibrators. A square-wave generator circuit is suggested in this paper. The design is simple and independent of the OPAMP offset issues. The resulting square-wave is rectified to get its DC equivalent and to a triangular output; the two outputs are applied to a comparator for generating a digital output with a duty cycle proportional to a change in resistance upon which is dependent the DC.
Multi-Agent based MapReduce Model for Efficient Utilization of System Resources
Authors: Kousar Heena , Prasad Babu B.R.
Published: January 2019

Recently with increased adoption of big data, Internet of Things and sensor technology by various organization for provisioning smart intelligent services for various application uses. Data processing on real-time social media and sensor data is been a key area of research in recent times and these data are massive and continuous. Smart application using sensor and social media data can be classified into three class: 1) online processing of streaming data; 2) online processing of historical data; and 3) hybrid processing of both. The existing model are designed considering stream or batch processing. For provisioning real-time processing MapReduce framework using Hadoop framework is considered by state-of-art technique for data inflow forecasting. However, the Hadoop based forecasting model are not efficient in fully utilizing system resource. Agent based MapReduce forecasting model is adopted by state-of-art technique to utilize system efficiently. However, they incurs high computation overhead, thus increase cost of computing cost. To overcome this work present an agent based Data Inflow Forecasting (DIF) model for both stream and non-stream (historical) data by using Multivariate Gaussian Mixture (MGM) model. This work present an Agent based MapReduce (AMR) framework to process data in real-time and utilize system resource efficiently. To provide scalability for processing social media and sensor data DIF-AMR model adopts cloud computing architecture. Experiment are conducted to evaluate performance of DIF-AMR of over existing model shows significant performance improvement in terms of computation time.
Capacitive Sensing Algorithm for Elderly Activity Detection Scheme Indoor Environment
Authors: Arshad Atika , Khan Sheroz , Kadir Kushsairy Abdul , Tasnim Rumana
Published: January 2019

The aim of this research is to assist elderlies in accomplishing their everyday tasks through facilitating their home atmosphere with sensors, actuators, and computational resources. A significant effort is needed to incorporate them to make them effective in daily life. Particularly, the tracking and detection of elderly people’s daily tasks, associated with the information of the user's location in the home environment signify the key pillars of this work. The detecting and tracking algorithm uses the sensory data to indicate an associated situation in order to allow elderly people with special requirements. Monitoring the elderly’s behaviour over a long period of time will allow prediction of their forthcoming alarming situation which allows the finding of the elderly’s behavioural deviations in their everyday routine. The proposed resolution has been methodically assessed in the laboratory.
Non-Contact Capacitive Technique for Biomass Flow Sensing
Authors: Tasnim Rumana , Khan Sheroz , Arshad Atika , Hussein Molla Rashied
Published: January 2019

To facilitate real-time flow measurement, this paper aims to realize biomass flow sensing through electronic non-contact capacitive means. Hardware implementation has been carried out using a modified OP-AMP-based bridge circuit, with one arm made of a standard capacitance while the other arm is made from two specifically designed capacitive electrodes fitted on a piping system sensing biomass flow. The experimental results are targeted to obtain data for given biomass types through a custom-developed biomass flow piping system. Several flow affecting parameters namely: electrodes’ shapes, the location of electrodes on the piping system, biomass material type, and particle size have been considered in obtaining experimental data. Also, the circuit has been simulated to analyze flow sensing behavior for the proposed technique by evaluating the measurement data and assessing conformity between experimentally obtained and simulated data.
Practical Application of In-door Tested Scaled Models on Real Building structures
Authors: Ullah Irshad , Baharom MNR , Ahmad H. , Luqman H.M. , Zainal Zainab
Published: January 2019

Lightning indoor testing got a very low attention of the researchers. Although lightning is impossible to create inside the laboratory however it can be presented using high voltage impulse. High voltage impulse was generated in this paper which presents the actual lightning. Selected building structures were tested under the high voltage condition. This idea was implemented practically by applying it on different real building structures. Different building with different roof tops were observed practically and it was found that this research work has a good agreement of the lightning strike points observe during the indoor activities in high voltage lab and out door activity during the field study.
Disruptive Technology: The Future of SMS Technology
Authors: Yahaya Cik Ku Haroswati Binti Che Ku , Kassim Murizah , Husni Hasnorhafiza
Published: January 2019

The research illustrates a view on the current trends in the telecommunication industry focusing on the matter of Short Message Service (SMS) technology. It targets and explains disruptive technology and also introduces disruptive technology in Short Message Service (SMS). The methodology of this research is market trend analysis using data on volume of Short Message Service (SMS) sent and received through a mobile network and a survey that was conducted with questionnaires. The findings are Short Message Service (SMS) is predicted to become obsolete and be disrupted by Over the Top (OTT) messaging application by the third quarter of the year 2020. This was implemented with linear regression prediction. By the survey a new trend of using Short Message Service (SMS) has emerged but users have certainly moved away from SMS and now prefer texting Over the Top (OTT) messaging applications.
Fuzzy Logic Enhanced Direct Torque Control with Space Vector Modulation
Authors: Tan Jian-Ding , Koh Siaw-Paw , Tiong Sieh-Kiong , Ali Kharudin , Abdalla Ahmed
Published: January 2019

Over the past few years, multiple types of modifications have been proposed onto the Direct Torque Control (DTC) scheme. Among others is the implementation of Space Vector Modulation (SVM). In this paper, two new control strategies are proposed onto an SVM-DTC. Instead of using PI torque and flux controllers, a fuzzy logic control method is implemented in the proposed modification to achieve a more constant switching frequency while minimizing the torque error. The fuzzy logic controller controls the voltages in direct and quadratic reference frame (Vd, Vq). This approach fully utilizes the switching capability of the inverter and thus improving the overall system performance. To overcome issues in open loop stator flux such as DC drift and saturation, a closed loop estimation method of stator flux is also proposed based on voltage model and low pass filter. The performance of the proposed control strategy is benchmarked with that of a conventional DTC–SVM. Simulations and experiments were carried out and the results show that the proposed method outperforms the conventional DTC-SVM in terms of DC-offset elimination and overall system robustness. 
Over the past few years, multiple types of modifications have been proposed onto the Direct Torque Control (DTC) scheme. Among others is the implementation of Space Vector Modulation (SVM). In this paper, two new control strategies are proposed onto an SVM-DTC. Instead of using PI torque and flux controllers, a fuzzy logic control method is implemented in the proposed modification to achieve a more constant switching frequency while minimizing the torque error. The fuzzy logic controller controls the voltages in direct and quadratic reference frame (Vd, Vq). This approach fully utilizes the switching capability of the inverter and thus improving the overall system performance. To overcome issues in open loop stator flux such as DC drift and saturation, a closed loop estimation method of stator flux is also proposed based on voltage model and low pass filter. The performance of the proposed control strategy is benchmarked with that of a conventional DTC–SVM. Simulations and experiments were carried out and the results show that the proposed method outperforms the conventional DTC-SVM in terms of DC-offset elimination and overall system robustness. 
Evaluation Review on Effectiveness and Security Performances of Text Steganography Technique
Authors: Din Roshidi , Utama Sunariya , Mustapha Aida
Published: January 2019

Steganography is one of the categories in information hiding that is implemented to conceal the hidden message to ensure it cannot be recognized by human vision. This paper focuses on steganography implementation in text domain namely text steganography. Text steganography consists of two groups, which are word-rule based and feature-based techniques. This paper analysed these two categories of text steganography based on effectiveness and security evaluation because the effectiveness is critically important in order to determine that technique has the appropriate quality. Meanwhile, the security is important due to the intensity performance in securing the hidden message. The main goal of this paper is to review the evaluation of text steganography in terms of effectiveness and security that have been developed by previous research efforts. It is anticipated that this paper will identify the performance of text steganography based on effectiveness and security measurement.
Automated Real-Time Vision Quality Inspection Monitoring System
Authors: Rahman N.N.S. Abdul , Saad N.M. , Abdullah A.R. , Hassan M.R.M. , Basir M.S.S.M , Noor N.S.M.
Published: January 2019

The requirement of product quality inspection in industries for product standardized leads to a development of the quality inspection system. The problem is related to a manual inspection that is done by a human as an inspector. This paper presents an automated real-time vision quality inspection monitoring system as a problem solver to a manual inspection that is tedious and time-consuming task as well as reducing cost especially in small and medium enterprise industries (SME). For the proposed system, soft drink is used as the test product for quality inspection. The system uses computer-network to inspect two quality inspections which are color concentration and water level. The analysis includes pre-processing, color concentration using the histogram and quadratic distance and level inspection using coordinate vertical and horizontal reference levels. The similarities of both experimental and simulation results are obtained for both parameters which are 100% accuracy using 205 samples.
Implementation of Artificial Neural Network Controller for Double-Input Boost Converter
Authors: Buswig Yonis. M. , Othman Al-Khalid bin Hj , Julai Norhuzaimin bin , Yi Sim Sy , Utomo W. M. , Lim A.J.M.S.
Published: January 2019

This paper describes the design of an artificial neural network (ANN) control with power sharing control abilities of a new proposed double-input boost power converter (DIBC). The goal of this research is to model and design a high effectiveness and great performance double-input power converter for renewable energy applications. First, an artificial neural network controller design which is flexible versus a variable input voltage resource and variable load (to achieve the line regulation test and load regulation test) is proposed. Lastly, the suggested concept has been validated through experimentally on the laboratory prototype by using DSP TMS320F28335 real-time digital control. The experimental outcomes emphasize the authenticity of the suggested topology, which can be promising a novel topology that includes double-input power converter appropriate for renewable energy application systems.
Design o f “ 32 ” Point Split Radix b ased Multipath Delay Commutator FFT Architecture for Low Power Applications
Authors: Manimaran A. , Thomas ABY K.
Published: January 2019

FFT is used in Modern high speed signal processing application. In aforementioned technologies that tends to operate in various operational modes. To implement FFT obviously it not only needs to meet high throughput demand and also it needed to scalable cater selectable N point FFT. Our contribution to this paper is two-fold of our existing method, as proposes for the split radix using Multipath Delay Commutator (MDC) algorithm has the least complex design and less multiplications comparing to radix-2 algorithm. So that it can able to reduce power consumption and area than our existing work. The implementation of power efficient hardware of split radix FFT (SRFFT) is built up by pruning excessive computation. Leveraging this potential, a new architecture of a configurable SRFFT processor is first developed so that unnecessary computations, which yield zeros at the output, are pruned. Simulations show that maximum power saving of around 20% is achieved. The proposed algorithm consists of mixed radix butterflies, whose structure is more regular. It has the conjugate-pair version, which requires less memory.
Contact Lens Classification by Using Segmented Lens Boundary Features
Authors: Zin Nur Ariffin Mohd , Asmuni Hishammuddin , Hamed Haza Nuzly Abdul , Othman Razib M. , Kasim Shahreen , Hassan Rohayanti , Zakaria Zalmiyah , Roslan Rosfuzah
Published: January 2019

Recent studies have shown that the wearing of soft lens may lead to performance degradation with the increase of false reject rate. However, detecting the presence of soft lens is a non-trivial task as its texture that almost indiscernible. In this work, we proposed a classification method to identify the existence of soft lens in iris image. Our proposed method starts with segmenting the lens boundary on top of the sclera region. Then, the segmented boundary is used as features and extracted by local descriptors. These features are then trained and classified using Support Vector Machines. This method was tested on Notre Dame Cosmetic Contact Lens 2013 database. Experiment showed that the proposed method performed better than state of the art methods.
Performance of Malaysian Insurance Companies Using Data Envelopment Analysis
Authors: Bao Ng Jia , Ramlan Rohaizan , Mohamad Fazeeda , Yassin Azlina Md
Published: January 2019

The purpose of this study is to evaluate the performance of the local insurance in Malaysia for the period 2014-2015. The major challenge in the insurance industry is increasing competition in this market. Besides that, problematic in performance measurement to evaluate performance is another challenge in insurance industry. 24 local insurance companies involved in this study using quantitative method of Data Envelopment Analysis (DEA) output-orientation CCR model. This study utilizes three inputs and three outputs; operating expenses, equity capital and commission as well as net premium, net investment income, and net incurred claim. The secondary data sources were derived from official data of local insurance companies’ annual report respectively. The DEA-Solver-LV version 8 tools were used to analyze the data that have been collected to evaluate the performance of local insurance company. This DEA model allows integration of the performance for the insurance companies and provides management overall performance evaluation. The results showed that there are 8 efficient companies in 2014 and 9 efficient companies in 2015. The average efficiency score in 2014 was increased from 78.9% to 79.1% in 2015. The findings from this study will benefit the insurance associations in Malaysia, management of insurances companies and policy makers.
Simulation Model on Movement of Goods in Sea Freight for Small and Medium Enterprise
Authors: Baharum Zirawani , Hanif Muhammad , Qureshi Muhammad Imran , Raidzuan Syazwa Nabila Mohd , Mahdin Hairulnizam
Published: January 2019

Sea transportation is one of the major transportation in the scope of transport industry and plays important role towards the growth of performance in the industry that involves the movement of good (MOG). With the crucial operations, it is also essential to concern about the employee’s welfare, such as long working hours that occurred due to non-systematic procedure for the MOG. The long working hours been potentitially impact to the psychological factors of works stress and physical and health effects. Therefore, this research is important to be studied in order to develop the simulation model on MOG in sea freight for small and medium-sized enterprises (SMEs), effectively and efficiency. Initially, this research is startup by defining all existed activities with the duration as required. Subsequently, the business model of MOG in sea freight is developed according to the case study in order to develop the simulation model. This research is give a guide for future research towards providing a well-computer-based by applying the decision support system, especially to manage and control the movement of goods in sea freight.
An Effective Pre-Processing Phase for Gene Expression Classification
Authors: Seah Choon Sen , Kasim Shahreen , Fudzee Mohd Farhan Md , Mohamad Mohd Saberi , Saedudin Rd Rohmat , Hassan Rohayanti , Ismail Mohd Arfian , Atan Rodziah
Published: January 2019

A raw dataset prepared by researchers comes with a lot of information. Whether the information is usefull or not, completely depends on the requirement and purposes. In machine learning, data pre-processing is the very initial stage. It is a must to make sure the dataset is totally suitable for the requirement. In significant directed random walk (sDRW), there are three steps in data pre-processing stage. First, we remove unwanted attributes, missing value and proper arrangement, followed by normalization of the expression value and lastly, filtering method is applied. The first two steps are completed by Bioconductor package while the last step is works in sDRW.
Distribution Factor Method Modified for Determine of Load Contribute based on the Power Factor in Transmission Line
Authors: Nojeng Syarifuddin , Syamsir Syamsir , Jaya Arif , Syarifuddin Andi , Hassan Mohammad Yusri
Published: January 2019

This paper proposes a modification of distribution factor methods for identifying the load contribute in a transmission open access, with regard to the load power factor. This method may be considered as the first pricing strategy to be proposed in bilateral transaction for transmission usage, based on the actual use of the transmission network. The merit of this method relies on the existence of a load power factor with GLDF  methods, which allocate the  transmission cost, not only based on the amount of power flow but also on the load characteristic. A case study utilizing the IEEE 30-bus system was conducted to illustrate the contribution of the proposed method in allocating the transmission usage to the user in a fair manner.
Novel Zeta Converter With Multi Level Inverter Connected To Grid
Authors: P Suresh
Published: January 2019

The usage of multilevel inverter has increased in a drastic manner for the past years. These novel  inverters are useful in various mega power applications. As they are have the ability to change the output waveforms, they are having good harmonic distortions and better output results. This work proposes a novel five level asymmetrical  inverter which is incorporated with the zeta converter. Comparison is made with the existing multilevel inverter with the proposed system. The simulation results give the proposed system has less THD[1] when compared to the existing inverters. The main objective is that the number of switches and capacitors are reduced which in turn reduces the loss and the cost. From the output results is has been proved that the proposed topology gives reduced loss and high quality output when compared with the conventional methods.
Eagle Strategy based Crow Search Algorithm for solving Unit Commitment Problem
Authors: Habachi Rachid , Touil Achraf , Charkaoui Abdelkabir , Echchatbi Abdelwahed
Published: January 2019

Eagle strategy is a two-stage optimization strategy, which is inspired by the observation of the hunting behavior of eagles in nature. In this two-stage strategy, the first stage explores the search space globally by using a Levy flight; if it finds a promising solution, then an intensive local search is employed using a more efficient local optimizer, such as hillclimbing and the downhill simplex method. Then, the two-stage process starts again with new global exploration, followed by a local search in a new region. One of the remarkable advantages of such a combina-tion is to use a balanced tradeoff between global search (which is generally slow) and a rapid local search. The crow search algorithm (CSA) is a recently developed metaheuristic search algorithm inspired by the intelligent behavior of crows.This research article integrates the crow search algorithm as a local optimizer of Eagle strategy to solve unit commitment (UC) problem. The Unit commitment problem (UCP) is mainly finding the minimum cost schedule to a set of generators by turning each one either on or off over a given time horizon to meet the demand load and satisfy different operational constraints. There are many constraints in unit commitment problem such as spinning reserve, minimum up/down, crew, must run and fuel constraints. The proposed strategy ES-CSA is tested on 10 to 100 unit systems with a 24-h scheduling horizon. The effectiveness of the proposed strategy is compared with other well-known evolutionary, heuristics and meta-heuristics search algorithms, and by reported numerical results, it has been found that proposed strategy yields global results for the solution of the unit commitment problem.

 
Intentional Islanding Methods as Post Fault Remedial Action: A Review
Authors: Saharuddin N.Z. , Abidin Zainal , Mokhlis H. , Naidu K.
Published: January 2019

Intentional islanding is the last defense mechanism executed to avoid cascading failures and total blackout in power system network during severe or critical contingency. It is performed when other mitigation techniques are unable to save the network from collapse. Intentional islanding is preferred compared to unintentional islanding, which produces unstable islands. The objective of intentional islanding is to split the network by disconnecting appropriate transmission lines to produce electrically stable and balanced islands. There are many methods suggested by previous researchers on intentional islanding. This paper presents a comprehensive review on various intentional islanding methods proposed based on the common objective function used which are minimal power imbalance and minimal power flow disruption. The paper focuses on five intentional islanding methods which are analytical, numerical, heuristic, meta-heuristic and hybrid approaches. This review paper will serve as guideline and reference for researchers to explore further in this topic of interest.
An Antonym Substitution-based Model on Linguistic Steganography Method
Authors: Zamir Mansor Fawwaz , Mustapha Aida , Din Roshidi , Abas Azizi , Utama Sunariya
Published: January 2019

This paper implement the antonym procedure in substitution-based approach for linguistic steganography that is expected to be an alternative to the existing substitution approach that using synonym. This method is hidden the message as existing approach, however that is changing the semantic of the stego text from cover text as the medium. This paper proposed the development method is named Antonym Substitution-based that applied based on implementation linguistic steganography in covering the secret message. This approach refines the word choices makes antonym substitution-based approach linguistically is comparable with the previous effort of synonym substitution. Furthermore, this paper also used the verification and validation approaches as the procedure to evaluate performance of this method. The evaluation through verification approach used in order to determine the effectiveness and quality performance. This proposed method is expected has become the new technique implementation of linguistic steganography in process securing secret message that hide in the text medium.
Faults Signature Extraction in Wind Farm Integrated Transmission Line Topology
Authors: Emmanuel Osaji , Lutfi Othman Mohammad , Hizam Hashim , M. Othman Muhammad , Akar E. Elhad , Chidiebere A. Okeke , Samuel O. Nwagbara
Published: January 2019

The integration of Renewable Green Energy Sources (RGES) like Wind Farm Generators (WFG), and Photo Voltaic (PV) systems into convention power system as a future solution to the increase in global energy demands, generation cost reduction, and limited climate impact. The innovation introduced protection compromise challenges in power system due to in-feeds fault current penetration from RGES on existing system, leading to an undesired trip of the healthy section of TL, equipment damages, and safety failure. A comparison study of extracted faults signature from two proposed Transmission Line (TL) network topologies with and without WFG integration, for onward fault identification, and classification model design. Descrete wavelet multiresolution Analysis (DWMRA) of extracted one-cycle fault signal signatures from 11 faults type’s scenarios in Matlab. Result demonstrated a unique fault signatures across all simulated faults scenarios harness for future work of an adaptive unit protection model for this new area of DG integration.