bluuebunny/crossref_metadata_2025 huggingface dataset:
Extremely Vibrant Routing Scheme for Mobile Adhoc Network
Authors: Syed S Syes Abdul , Kumaran T Senthil
Published: January 2019

This paper aims to improve the performance of the traditional routing protocol for MANET such as DSR and AODV in terms of delay and overhead. The proposed routing scheme is called as Extremely Vibrant Routing (EVR) which adopts with the highly dynamic environment of MANET. The link residual life is estimated to reduce the link failure before forwarding data through a node. The velocity of the moving mode is considered while choosing the next forwarder node. This enables the EVR to decrease the delay in the network. The proposed routing scheme reduces routing overhead and reduces the delay. This scheme reduces the link failure too. The performance is evaluated by using the simulation results obtained by using NS2 simulator.
Fibre Optic Infrastructure for Network Deployment Using Application System
Authors: K Saravanan , Mathivananr V
Published: January 2019

Fiber optic has an imperative part in the improvement of media communications framework in Indonesia. Better system execution and nature of the speed that offered by fiber optic can bolster the information prerequisite which keeps on expanding each year. In Indonesia, Fiber Optics is utilized as the essential system foundation Backbone and Access and still keep on developing the fiber optic system in Indonesia. Therefore, the process of reporting, controlling and monitoring are imperative for network deployment of fiber optic network by using an application system to be more efficient and accelerate the decision making process. In this study FOMApps is made, an android based application that facilitates the requirements of monitoring, controlling and reporting the fiber optic project between the Government and fiber optic deployment provider. Specifically, FOMApps incorporate distinctive announcing positions for each sort of employment. The test aftereffects of detailing framework Optical Fiber Cable (Outside Plant) has a speed in conveying the report added up to 257.516 seconds. So from the outcomes that are acquired, the application is plausible for use in detailing the arrangement of Outside Plant Fiber Optic. With the presence of this application, we expect the way toward controlling and checking between the Government and fiber optic organizations suppliers are accomplished.
Framework and Implementation of Marine Dumping Area’s Monitoring System Based on GPRS
Authors: Brindha J , Vijayakumar V
Published: January 2019

An installed based astute ready framework is contrived for the best possible checking and support of the waste. This structure turns away the unpredictable cleaning of the dustbins by sending alarms to the concerned individual at general interims. It additionally enhances the framework by also supporting the status of cleaning progressively and measure the execution of the group. Accordingly, this structure proves to be useful as a praiseworthy arrangement in natural support. Notwithstanding this, it additionally helps to lessen the requirement for high human intercession in junk support of the district and contamination observing framework.
Fuzzy C-Means Algorithm Based Satellite Image Segmentation
Authors: Rehman Syed Nazeebur , Hussain Mohameed Ali
Published: January 2019

In this paper, an improved version of Fuzzy C-Means (FCM) algorithm is proposed efficiently to segment the satellite images. Segmentation of Image is one of the promising and active researches in recent years. As literature prove that region segmentation will produce better results. Human visual perception is more effective than any machine vision systems for extracting semantic information from image. A FCM algorithm is developed to estimate parameters of the prior probabilities and likelihood probabilities. So FCM algorithm is used for segmenting background and island extraction is done based on pixel intensity. Finally Peak Signal to Noise Ratio (PSNR) is calculated and it has better results than other.
Helmet Deduction Using Image Processing
Authors: Ali A Mohamed Syed
Published: January 2019

The project aim is to build a smart, little power bicycle dashboard with advanced vision sensor to find whether the rider is wearing a helmet or not and allows start/stop the bike ignition system. Even while riding the bicycle, the system continues the monitoring process, prevents the fire and sends alert messages to traffic authorities if the helmet not worn at any point in time. An alcohol sensor is built-in within the dashboard to prevent the drunk driving situation. GPS and motion sensors assist the system identifies accident scenario and sends alert SMS to traffic authorities and family members. Twitter’s Sentiment Analysis on Gsm Services using Multinomial Naïve Bayes discussed in [11]. The dashboard unit has a Bluetooth transceiver that helps the system to communicate with an Android mobile app running on the user Smartphone to provide SMS sending capability. Weighted Least Squared Approach to Fault Detection and Isolation for GPS Integrity Monitoring discussed in [10]. This design eliminates building power-hungry GSM modems into the vehicle dashboard thus saving vehicle battery power. Model for Post placement Mousing based on GSM in Long-Distance discussed in [9].
High Frequency Transformer for Ship Electrical Power System
Authors: R AnuPriya K , T Sasilatha
Published: January 2019

The system represented during this paper uses 3 matrix converters and a high frequency electrical device to attain isolation and voltage transformation from primary to secondary aspect. Two matrix converters manufacture high frequency voltage across a transformer, with open all over primary. a 3rd matrix device converts the high frequency cut voltage to line frequency. The non-idealities like outflow inductance of the electrical device have a big impact on the device performance. This paper studies the impact of outflow inductance on the regulation of the output voltage of the device. The simulation study has been carried out in SIMULINK and also the results are presented.
Image Resolution Enhancement Using Transform
Authors: Nazeeburrehman Syed , Hussain Mohameed Ali
Published: January 2019

In this project, interruption based image resolution enhancement technique using Discrete Wavelet Transform (DWT) with high-frequency sub bands obtained is proposed. Input images are decomposed by using DWT in this proposed enhancement technique. Inverse DWT is used to generate a new resolution enhanced image from the interpolation of high-frequency sub band images and the input low-resolution image. Intermediate stage has been proposed for estimating the high frequency sub bands to achieve a sharper image. It has been tested on benchmark images from public database. Peak Signal-To-Noise Ratio (PSNR) and visual results show the dominance of the proposed technique over the predictable and state-of-art image resolution enhancement techniques.
Improvement of Data Security Using Mixcolumn
Authors: Ramesh Singh Poja , Singh Santhosh Kumar
Published: January 2019

Advanced Encryption Standard is the security based algorithm used to protect the data from the attackers.In this paper, Optimized Inverse MixColumn transformation has been designed with the help of Xtime multiplication process. Xtime multiplication performs the multiplication function for ‘m X m’ data; results will be m-bit data. Further the complexity of Xtime multiplication process has been identified and re-designed with the help of effective CSE techniques. Developed Reduced Xtime based optimized Inverse MixColumn transformation provide better performances than traditional Xtime based Inverse MixColumn multiplication.
A Comparative Study of Phase Offset Disposition Sinusoidal Pulse Width Modulation (POD-SPWM) and Symmetrical Pulse Width Modulation Switching Techiques for Generalized Current Source Multilevel Inverter(MCSI)
Authors: Nik Ismail Nik Fasdi , Abdul Rahim Nasrudin , Sheikh Raihan Siti Rohani , Al-Turki Yusuf
Published: January 2019

This paper presents a comparison between two switching techniques namely Phase Offset Disposition Sinusoidal PWM (POD-SPWM) and Symmetrical PWM switching for a generalized current source multilevel inverter (MCSI) topology. One of the advantages of MCSI is it can reduce the total harmonic distortion (THD) at the output load current with a sinusoidal current waveform. In this paper, the generalized MCSI with the different levels has been developed with Matlab@simulation software in order to study the performance of the two switching schemes for the operation of the MCSI. From the simulation results, POD-SPWM switching technique can give better THD results compare to symmetrical switching technique.
Investigation of Knee Flexion Angle Influences on Intra-Body Communication’s (IBC) Signal Attenuation
Authors: Ibrahim I W , Aruwa M M M , Razak A.H.A. , Ahmad A. , Khir R. N.
Published: January 2019

Galvanic coupling method is one of the methods introduced in intra-body communication (IBC). IBC uses human body to as the communication medium for data transmission. In this paper, the investigation focuses on signal attenuation performance across knee joint using the galvanic coupling analysis. The signal attenuation was determined by implementing the galvanic coupling analysis at specific knee flexion angle. The galvanic analysis initiated by deciding the operating frequency in between 40 to 60 MHz in order to analyze the signal attenuation between the knee flexion angles. This paper found that the lowest signal attenuation at the operating frequency was 47.25dB, while the highest one was 52.63dB where the knee flexion angle is 0o and 155o respectively. It was concluded that the signal attenuation decrease with the increasing of knee joint existence at the specific flexion angle. However, a wider experiment must be conducted for various data that will correspond to signal attenuation for various influenced human data characteristics.
Improved Field-Oriented Control for PWM Multi-level inverter-Fed Induction Motor Drives
Authors: Mon Nzongo Daniel Legrand , Leugoue Emilienne , Zhang Jianhua , Ekemb Gabriel
Published: January 2019

This paper proposes a new approach to ensure the torque decoupled to the rotor flux of an induction machine based on the Field Oriented Control (FOC). The suggested method consists of inserting into the conventional d-q synchronous current controller, coupling terms of motor and multi-level inverter models. Making, the dynamic response of stator current components decoupled as well as the rotor flux and torque. In this paper, the mathematic model of an induction motor and multi-level inverter are first derived. Then, the synchronous current controller and modulation strategy for high power inverters are investigated. Finally, the validation through implementation and simulation of a 4.16 kV electric drive with MATLAB/Simulink and SimPowerSystems is performed.  The model simulated in this paper includes an induction motor, nine-level cascaded H-bridge inverter and a carrier based space vector pulse-width-modulation.The results of the simulations of each method has been recorded and the comparison results reveal that the proposed method effectively maintains the rotor flux decoupled to the torque.
A Real Time Condition Monitoring System for Gears Operating under Variable Load Conditions
Authors: Alwadie Abdullah
Published: January 2019

Gears are important component of the rotational power transmission system and are largely used in variable load and speed applications. The faults on the gear generate excessive vibration which leads to breakdown of the machine. Sensor based methods could diagnose gear faults but proved to be expensive and have limited applications due to heavy cost and need of access of gear box for sensor installation.  The motor stator current analysis has been reported to overcome the drawbacks of the sensor based fault detection methods. However, motor stator current analysis has a limited capability for reliable detection of small gear fault signatures typically for low load conditions. This paper presents an alternative non-invasive approach based on instantaneous power analysis of the motor to reliably diagnose gear faults for variable load applications. The theoretical and experimental results indicates that the instantaneous power analysis offers three fault related harmonics and amplitude variations on these harmonics could give the indication of health status of the gear.  The superiority of the proposed instantaneous power analysis technique has been confirmed through experiments performed on three operating points of the motor. The comparison of the amplitude sensitivity of the motor stator current and instantaneous power at three operating points has been performed to validate the superiority of the proposed technique.
Hybrid Micro Genetic Algorithm Assisted Optimum Detector for Multi-Carrier Systems
Authors: Albreem Mahmoud , Babu SPK , Salleh M F M
Published: January 2019

A low-complexity detection scheme, which consists of a Hybrid Micro Genetic Algorithm (Hybrid- µGA), is proposed for Orthogonal Frequency Division Multiplexing (OFDM) systems. In the absence of orthogonality, intercarrier-interference (ICI) occurs because a signal from one subcarrier causes interference to others. In several environment, the OFDM signal reflections from a far obstacle generate inter-block-interference (IBI) due to long time delays. To avoid these unpleasant effects of IBI and ICI in OFDM system, a Hybrid-µGA detection algorithm is proposed. The proposed detector combines the conventional one-Tap equalizer and the Micro Genetic Algorithm (µGA) search engine. The output of one-Tap equalizer is considered as the input to µGA search engine. Therefore, the µGA starts with some knowledge rather than blindly to speed up the search. Theoretical analysis and simulation results show that the proposed detection Hybrid- µGA scheme substantially improves the performance of OFDM systems. Moreover, its complexity is 10 times lower than the conventional GA.
Performance Of Full-Duplex One-Way And Two-Way Cooperative Relaying Networks
Authors: Sinouvassane Arunmozhi , G Nagarajan
Published: January 2019

The wireless research requires concurrent transmission and reception in a single time/frequency channel with good spectral efficiency. The Full duplex system is the alternate for the conventional half duplex systems. An investigation on the need for a full duplex two way (FD-TWR) and one way relaying (FD-OWR) to improve the performance of outage probability and average rate employing amplify-and-forward (AF) and decode-and-forward (DF) protocol is considered. Further the relaying systems performance under the network coding schemes is taken into consideration. The outage probability and average rate of FD-TWR and FD-OWR using a physical layer network coding was performed. In contrast to “straightforward” network coding which performs arithmetic function on digital bit streams after information have been received. The result shows the DF protocol achieves better outage probability and average rate, when compared to the AF protocol. And comparing the full duplex schemes like FD-TWR and FD-OWR, it is found that the FD-TWR achieves better outage probability and average rate, when compared to the FD-OWR. The performance was extended with different loop interference among the relay antennas. The performance show that FD-TWR performs well even in spite of loop interference.

 
Incursion Recognition Mechanism Based on Secure Network System
Authors: Masood A. Mohamed Divan , Muthusundar S. K.
Published: January 2019

Internet based computing dissimilar services such as server storage and applications are shared on the internet. This makes cloud computing one of the most promising and rapidly growing technologies. As it relies on sharing computer resources, it is prone to various security risks. Individual such security issue is Distributed Denial of Services attack on cloud. A DDos assault can begin from anyplace in the system and normally overpowers the casualty server by sending countless. This paper deals with the prevention of DDos attacks and how honey pot approach can be used in cloud computing to counter DDos attacks.
Interaction With ATM for Blind
Authors: Ahmed Sarfaraz , Kumaran T. Senthil
Published: January 2019

A talking ATM may be a kind of Asynchronous Transfer Mode (ATM) that gives perceptible directions so that persons United Nations agency will not scan associate degree ATM screen can severally use the machine. All perceptible data is delivered in private through an earpiece jack on the face of the device or an on an individual basis hooked up a telephone. Information provided to the client either through pre-recorded sound files or via text-to-speech synthesis A user plugs a conventional telephone receiver into the jack, hear directions and also the user can respond to voice. In spite of everything, the small print is given press OK button for confirmation. There's associate degree perceptible orientation for initial time users, and perceptible data describing the placement of options like the OK button, deposit slot, and card slot. During this application is principally developed for the blind individuals. The blind people cannot see the keyboard and also the screen for the system. They enter the input details through voice. The voice to text converter can convert into text and method additional way. The system offers the instruction regarding the system usage through voice.
Internet of Things Based Weather Forecast Monitoring System
Authors: Kulkarni Atul , Mukhopadhyay Debajyoti
Published: January 2019

Weather forecasting is a significant function in meteorology and has been one of the most systematically challenging troubles around the world.This scheme deals with the structure of a weather display method using small cost components so that any electronics hobbyist can construct it. As a replacement for using sensors to collect the weather data, the development gets the information from weather stations placed around the world through a global weather data supplier. Severe weather phenomena challengedifficult weather forecast approach with the partial explanation. Weather events have numerous parameters that are not possible to detail and compute. Growing on communication methods enables weather predictsspecialist systems to combine and share possessions and thus hybrid systems have emerged. Still, though these improvements on climate predict, these expert systems can’t be entirely reliable while weather forecast is central problem.
Mobile-robot Navigation through Fuzzy Behavioral Algorithm & Vector-polar Histogram Algorithm
Authors: Basha Alaudeen , Vijayakumar V.
Published: January 2019

The route of self-governing ground vehicles through general conditions has gotten generous research consideration. Be that as it may, the writing contains not very many correlations of the course ideal models for AGVs, particularly for calculations utilising range discoverers. The fluffy behavioural approach and vector field histogram (VFH) approach are outstanding strategies that can be actualised using range discoverers. This paper will concentrate on looking at their structure, simplicity of programming and calculation tuning, and execution. Both methodologies actualised on a Pioneer 2 robot, outfitted with a SICK laser run discoverer.
Modeling Portable Manager Aiding in the MANET Communication
Authors: Kumar Ganesh , Arivazhagan A.
Published: January 2019

The aim of this paper is to model the Portable Manager and allow it to aid in communication among Mobile Ad-hoc Networks (MANETs) carrying information across the mobile nodes in the network. In this article, Modeling Portable Manager aiding in the MANET Communication (MMAC) is proposed. The novelty is present in the use of node performance parameter called as α defined as the ratio of the packet received, packet loss and delay of the node which could be used for the next hop selection in the mobile ad hoc network. The Portable Manager (PM) is used to find out the relay node in the network. The working of the PM with a minimal number of nodes is analyzed and presented through the simulations in the network simulator.
Multi-color Joint Probability Statistics Model-based Object Tracking System
Authors: Palanichamy P.
Published: January 2019

For continuous target following under complex scene, an objective following calculation in light of multi-shading joint likelihood investigation model was introduced. The calculation embraced shading histogram to speak to the actual factual trademark with Camshaft standard and completed exploratory research in such angles as multichannel joint shading highlights measurements, projection delineate weighted preparing, the following window size and position ascertaining, calculation handling component of course. It utilised red, green, blue, tint, luminance channel shading as the objective watched attributes, and planned the computation technique given the likelihood measurement to recognise any shading focus from the compound scene. It likewise settled the counting method for following window size and position which adjusted the multi-shading model. Utilizing weighting projection outline strategy, the foundation obstruction around the objective potential territory was dispensed with. Finally, more reasonable joining judgment and the calculation cycle tenets were advanced. After the test accreditation, the ongoing execution and recognition proportion introduce a decent outcome.
Orthogonality Measurent of OFDM Signal
Authors: Sharma Mahendra , Singh Santhosh Kumar
Published: January 2019

In recent days, Orthogonal Frequency Division Multiplexing is the technique to transmit and receive the signal without any overlapping of the signal. OFDM is also a multiplexing technique as well as modulation technique. It is a multi-carrier transmission technique in which single high data stream is divided into a number of lower rate streams that are transmitted simultaneous over some narrow sub channel. In general, OFDM avoids Inter-Symbol Interference (ISI), Inter-Carrier Interference (ICI) and fault transmissions between source and destination node. To measure the performance of the system by using the parameters like Bit Error rate (BER), Spectrum analysis and signal strength detection. Based on the parameters the best system can be identified.
Reconfigurable Modulation Scheme for Communication System
Authors: Ali Mohamed Syed
Published: January 2019

In any communication system transmitter and receiver are used to transmit the signal via wired or wireless channel. In the transmitter, modulation is one of the processes to transmit the signal efficiently. Likewise, receiver contains demodulation to recover the original signal from the transmitter. In general, the communication system uses one modulation/demodulation process at a time. It cannot use different modulation/demodulation within a single system. To overcome this problem reconfiguration technique is implemented. It is the method using different modulation scheme at the same time. It will increase the efficiency of the communication system. QPSK and BPSK modulation technique is used to transmit and receive the signal.
Remote Sensing with Internet Based Patient Condition Observing System
Authors: Gaikwad Pratibhahanmantrao , Dave Dhiren Pranshankar
Published: January 2019

This Paper aims to design and demonstrate an innovative web-based remote healthcare diagnostic system that provides vital medical data and live video images of a patient situated in the rural area accessible to a health professional available elsewhere in urban centres resulting in better diagnosis and treatment of that patient.
Review About Various Satellite Image Segmentation
Authors: Mir Shabir Ahmed , Padma T.
Published: January 2019

In this paper, a review about different algorithm is proposed efficiently to segment the satellite images. Segmentation of Image is one of the promising and active researches in recent years. As literature prove that region segmentation will produce better results. Human visual perception is more effective than any machine vision systems for extracting semantic information from image. There are various segmentation techniques are available. Fuzzy C Means (FCM), Expectation Minimization (EM) and K-Means algorithm is developed to estimate parameters of the prior probabilities and likelihood probabilities. Finally Peak Signal to Noise Ratio (PSNR) is calculated for all the algorithms and reviewed.
Electromagnetic Radiation (EMR) of Human Body Before and After Jogging
Authors: S.A.Kadir R.S. , Zunairah Hj Murat Zunairah Hj Murat , Md Suhaimi Nurul Izzati Nadiah Binti
Published: January 2019

The research is on the electromagnetic radiation of human body before and after jogging. 30 healthy students from UiTM with an age range of 23-25 years old volunteered. The seven locations of chakra points were measured. The body frequency (in MHz) is captured using frequency detector by taking the reading of the frequency 5 times at each point at the same location; hence, the average value is calculated for data analysis. This frequency measurement is recorded two times which is before and after jogging with a consistence protocol for all participants. The data in terms of frequency (Hertz) is converted into 15 colours of bio-energies representing the health level. The finding shows that 63.3% of participants’ health level improved after jogging. While 33.3% of participants had decrement in their health level. The results also indicate improvement in bio-energies score for five out of seven chakra points after jogging.
Design of Low Power Low Noise Amplifier using Gm-boosted Technique
Authors: Muhamad Maizan , Soin Norhayati , Ramiah Harikrishnan
Published: January 2019

This paper presents the development of low noise amplifier integrated circuit using 130nm RFCMOS technology. The low noise amplifier function is to amplify extremely low noise amplifier without adding noise and preserving required signal to a noise ratio. A detailed methodology and analysis that leads to a low power LNA are being discussed throughout this paper. Inductively degenerated and Gm-boosted topology are used to design the circuit. Design specifications are focused for 802.11b/g/n IEEE Wireless LAN Standards with center frequency of 2.4 GHz. The best low noise amplifier provides a power gain (S21) of 19.841 dB with noise figure (NF) of 1.497 dB using the gm-boosted topology while the best low power amplifier drawing 4.19mW power from a 1.2V voltage supply using the inductively degenerated.
Harmonic Load Diagnostic Techniques and Methodologies: A Review
Authors: Hussin A.S. , Abdullah A.R. , Jopri M.H. , Sutikno T , Saad N.M. , Tee Weihown
Published: January 2019

This paper will review on the existing techniques and methodologies of harmonic load diagnostic system. The increasingly amount of harmonic producing load used in power system are the main contribution in quantifying each harmonic disturbance effects of the multiple harmonic producing loads and it became very important. Literature proposes two different techniques and methods on the harmonic source identification under the soft computing technique classification. The advantages and disadvantages of harmonic load identification techniques and methods are discussed in this paper. In the proposed method, the issue on the harmonic contribution is determine and transformed to a data correlation analysis. Several techniques to identify the sources of harmonic signals in electric power systems are described and reviewed based on previous paper. Comparative studies of the methods are also done to evaluate the performance of each techniques. However, without sufficient information in this inconsistent environment on the property of the power system, accurate harmonic producing load diagnosis methods are important and further investigations in this regard assumes great implication.
Parameter Estimation of DC Motor using Adaptive Transfer Function Based on Nelder-Mead Optimisation
Authors: Nayak Byamakesh , Sahu Sangeeta , Roy Choudhury Tanmoy
Published: January 2019

This paper explains an adaptive method for estimation of unknown parameters of transfer function model of any system for finding the parameters. The transfer function of the model with unknown model parameters is considered as the adaptive model whose values are adapted with the experimental data. The minimization of error between the experimental data and the output of the adaptive model have been realised by choosing objective function based on different error criterions. Nelder-Mead optimisation Method is used for adaption algorithm. To prove the method robustness and for students learning, the simple system of separately excited dc motor is considered in this paper. The experimental data of speed response and corresponding current response are taken and transfer function parameters of  dc motors are adapted based on Nelder-Mead optimisation to match with the experimental data. The effectiveness of estimated parameters with different objective functions are compared and validated with machine specification parameters.
Assessing the Crown Closure of Nypa on UAV Images using Mean-Shift Segmentation Algorithm
Authors: Silalahi Robert Parulian , Jaya I Nengah Surati , Tiryana Tatang , Mulia Fairus
Published: January 2019

Utilization of very high-resolution images becomes a new trend in forest management, particularly in the detection and identification of forest stand variables. This paper describes the use of mean-shift segmentation algorithm on unmanned aerial vehicles (UAV) images to measure crown closure of nypa (Nypa fructicans) and gap. The 27 combinations of the parameter values such as spatial radius (hs), range radius (hr), and minimum region size (M). Gap detection and nypa crown closure measurements were performed using a hybrid between pixel-based (maximum likelihood classifier) and object-based approaches (segmentation).  For evaluation of the approach performance, the accuracy assessment was done by comparing object-based classification results (segmentation) and visual interpretation (ground check). The study found that the best combination of segmentation parameter was the combination of hs 10, hr 10 and M 50, with the overall accuracy of 76,6% and kappa accuracy of 55.7%.
Modified Pixels Based Fast Median Filter in Impulse Noise Environments
Authors: Hee Lee Man , Shin Soo Young
Published: January 2019

This paper proposes a modified pixel-based fast median filter (MP-FMF) for impulse noise environments. The key idea behind MP-FMF is the reduction in the processing time by using modified pixels. It consists of three steps, namely, error detection, threshold decision, and noise mitigation. The presence of noise is detected by using modified pixels that include a cyclic redundancy check (CRC) function. Subsequently, the threshold values are decided by estimating the noise density. For noise mitigation, corrupted pixels are corrected with the neighboring pixels based on the principle of the median filter. The MP-FMF has a fast processing time and provides image quality correction and introduces features when the noise density is high. In addition, we introduce a new evaluation metric and investigate the performance of the proposed algorithm in terms of the quality, features, and computation time.
Using Encryption Square Keywith One-Dimensional Matrix for Enhancing RGB Color Image Encryption-Decryption
Authors: Rasmi AL-Mousa Mohammad , Al-salameen Fadi , Alqawasmi Khaled Eisa
Published: January 2019

Recently, the security of digital images becomes an important issue with the rapid growth of digital communication and multimedia application. Recent cryptography algorithms are providing essential techniques to protect information and multimedia data. However, those algorithms are usually suffering from the problem of time-consuming. Encryption algorithms have been growth quickly and many image encryption methods have been used to protect information and multimedia data from unauthorized access. This research presents effective technique for image encryption which employs Red, Green and Blue (RGB) components of the RGB color image. The proposed technique utilizes matrix multiplication and inverse matrices for encryption-decryption purpose. Moreover, the effectiveness of the proposed encryption-decryption techniques lay on minimizing the encryption-decryption time and the square error between the original and the decrypted image.  The evaluations of the proposed technique were done using many images with different sizes, while the ex perimental results show that the improved encryption technique time are greatly reduced compared with “RGB Color Image Encryption-Decryption Using Gray Image” method.  The proposed technique has a high confidentiality level through using confusion diffusion sequentially with a square matrix key and two vectors keys. However, those keys are generated randomly and make the process of hacking the image very difficult.
Cassava Quality Classification for Tapioca Flour Ingredients by Using ID3 Algorithm
Authors: Pratama Yohanssen , Saragi Hadi Sutanto
Published: January 2019

Cassava is one of the main foods consumed by Indonesian people and main ingredients to make tapioca flour. In North Sumatera there is factory that produced tapioca flour to fulfill consumer demand.  To be able to meet the needs of consumers and seize market share, the product must have a good quality. Product specifications are a reference for product quality and measured with 7 parameters. The seven parameters include whiteness, moisture content, spotness, ash content, thinness, residual screen, pH flour, which meets the Indonesian National Standard. In this research we use two parameters (whiteness and spotness) to determine the quality of cassava and help the factory to maintain their product quality. In here we use blob and edge detection method in image processing to detect spot and after that classified the cassava by using an ID3 algorithm. 
Search Engine-inspired Ranking Algorithm for Trading Networks
Authors: Mirzal Andri
Published: January 2019

Ranking algorithms based on link structure of the network are well-known methods in web search engines to improve the quality of the searches. The most famous ones are PageRank and HITS. PageRank uses probability of random surfers to visit a page as the score of that page, and HITS instead of produces one score, proposes using two scores, authority and hub scores, where the authority scores describe the degree of popularity of pages and hub scores describe the quality of hyperlinks on pages. In this paper, we show the differences between WWW network and trading network, and use these differences to create a ranking algorithm for trading networks. We test our proposed method with international trading data from United Nations. The similarity measures between vectors of proposed algorithm and vector of standard measure give promising results.
Electric vehicle technology impacts on energy
Authors: Salah Wael A. , Albreem Mahmoud A. M. , Alsayid Basim , Zneid Basem Abu , Alkhasawneh Mutasem , Al–Mofleh Anwar , Sneineh Anees Abu , Abu Al-Aish Amir
Published: January 2019

The CO2 emission level is becoming a serious issue worldwide. The continuous increase in gasoline price forms the essential base of development of electric vehicle (EV) drives. Moreover, economic and environmental issues relate to fabrication and operation of traditional powered vehicles. The basic considerations and development perspectives of EVs are presented in this paper. The development of an efficiently designed motor and drive satisfy the need of efficient characteristics that enable EVs to perform as part of the propulsion unit. The use of digital signal controllers compared with conventional control systems minimizes the motor’s total harmonic distortion, lowers operating temperatures, and produces high efficiency and power factor ratings. This paper addresses the view of EV technology as well its advantages over other technologies.
Performance evaluation of a hybrid fuzzy logic controller based on genetic algorithm for three phase induction motor drive
Authors: Ali Ahmed Jadaan , Farej Ziyad , Sultan Nashwan
Published: January 2019

It is known that controlling the speed of a three phase Induction Motor (IM) under different operating conditions is an important task and this can be accomplished through the process of controlling the applied voltage on its stator circuit. Conventional Proportional- Integral- Differeantional (PID) controller takes long time in selecting the error signal gain values. In this paper a hybrid Fuzzy Logic Controller (FLC) with Genetic Algorithm (GA) is proposed to reduce the selected time for the optimized error signal gain values and as a result inhances the controller and system performance. The proposed controller FL with GA is designed, modeled and simulated using MATLAB/ software under different load torque motor operating condition. The simulation result shows that the closed loop system performance efficiency under the controller has a maximum value of 95.92%. In terms of efficiency and at reference speed signal of 146.53 rad/sec, this system performance shows an inhancement of 0.67%,0.49% and 0.05% with respect to the closed loop system efficiency performance of the PID, FL, and PID with GA controllers respectively. Also the simulation result of the well designed and efficient GA in speeding up the process of selecting the gain values, makes the system to have an efficiency improvement of 14.42% with respect to the open loop system performance.
Speed and position estimator of for sensorless PMSM drives using adaptive controller
Authors: Mat Lazi Jurifa , Ibrahim Zulkifilie , Talib MHN , Alias Azrita , Nur Ainain , Azri Maaspaliza
Published: January 2019

Nowadays, the elimination of the speed sensor in Permanent Magnet Synchronous Machine (PMSM) is greatly recommended to increase efficiency and reduce the cost of the drives. This paper proposes a simple estimator for speed and rotor position of PMSM drives using adaptive controller. The novelties of the proposed method are the simple estimator equations and the absence of the voltage probe which depend on direct and quadrature reference current only. The simplified mathematical model of the PMSM is formulated by using V-I model, based on adaptive control. Then, the speed estimation error of the voltage and current model based are analyzed. Thus, an adaptation mechanism model is established to cancel the error of the measured and estimated d-q currents. Since the output of the estimator is the position feedback, the performances of speed responses are presented. The hardware implementation of proposed sensorless drives is realized via dSPACE DS11103 panel. dSPACE Real Time Implementation (RTI) is the linkage between software and hardware set-up. It automatically processes the MATLAB Simulink model into dSPACE DS11103 processor. The experimental-hardware results demonstrate that the speed and position estimator of the proposed method is able to control the PMSM drives for forward and reverse of speed command, acceleration, deceleration and robustness to load disturbance.
Modelling and design of PID controller for voltage control of AC hybrid micro-grid
Authors: Alhamrouni Ibrahim , A. Hairullah M. , S. Omar N. , Salem Mohamed , Jusoh Awang , Sutikno T.
Published: January 2019

The growing demand for power that needs to be remotely transported creates a fast and effective solution of Distributed Energy Resources (DERs) integration. Distributed Energy Resources (DERs) can lessen the electrical and physical distance between load loss and generator, transmission and distribution, and the level of carbon emissions. Such challenges can be overcome by using microgrids, which combine various types of DERs without interrupting the grid operation, allowing the power system to detect and control the errors more efficiently, allowing the shedding load and automatic switching through control algorithms so that blackouts and power restoration times are shortened, enabling either a relevant grid or islanded mode operation, and improving system reliability and flexibility via DERs. This work includes modelling of hybrid AC micro-grid as well as presenting an efficient control technique for micro-grid. In the present work the performance of hybrid AC microgrid system is analyzed in the islanded mode. Photovoltaic system and fuel cell stack are used for the development of microgrid. It also includes microgrid control objectives and the most common problems encountered and their solutions. The employed control technique is able to control the output voltage at a desired and standard value. The control strategies of the hybrid AC microgrid are simulated in MATLAB/SIMULINK.
Design and implementation of nonlinear integral backstepping control strategy for single-phase grid-connected VSI
Authors: Reddak Moussa , Mesbahi Abdelouahed , Nouaiti Ayoub , Berdai Abdelmajid
Published: January 2019

This paper presents the design and the implementation of a nonlinear integral backstepping control strategy for a single-phase grid-connected voltage source inverter (VSI). The proposed control strategy aims to resolve the problem of the sinusoidal reference current tracking, to have a rapid transient response needed to deal with the transient incident such as grid voltage drops and to generate into the grid a current with fewer harmonics. These properties are verified by seeking the direction, the amplitude and the transient response of the injected grid current. An experimental VSI prototype is used to validate the effectiveness of the proposed controller, basing on a digital signal processor DSP microcontroller. The achieved results show that the well- obtained properties satisfy the grid current injection conditions.
A novel self-tuning fractional order PID control based on optimal model reference adaptive system
Authors: Shamseldin Mohamed Abdelbar , Sallam Mohamed , Bassiuny Abdel Halim , Ghany A. M. Abdel
Published: January 2019

This paper presents a novel self-tuning fractional order PID (FOPID) control based on optimal Model Reference Adaptive Control (MRAC). The proposed control technique has subjected to a third order system case study (power system load frequency control). The model reference describes the requirements of designer. It can be first or second order system. The parameters of MRAC have obtained using the harmony search (HS) optimization technique to achieve the optimal performance. Sometimes, the tuning of the five parameters of FOPID control online at same moment consumes more calculation time and more processing. So, this study proposes three methods for self-tuning FOPID control. The first method has been implemented to tune the two integral and derivative parameters only and the rest of parameters are fixed. The second method has been designed to adjust the proportional, integral derivative parameters while the other fractional parameters are constant. The last method has developed to adjust the five parameters of FOPID control simultaneously. The simulation results illustrate that the third method of self-tuning FOPID control can accommodate the sudden disturbance compared to other techniques. Also, it can absorb the system uncertainty better than the other control techniques.
Power quality enhancement by using D-FACTS systems applied to distributed generation
Authors: Ahmed Si Zegnoun , Tandjaoui Mohammed Nasser , Djebbar Mokhtar , Benachaiba Chellali , Mazari B.
Published: January 2019

In the majority of the isolated areas, the diesel generator is the principal source of electric power. For these areas, the price of extension of the electrical supply network is prohibitory and the price of fuel increases radically with insulation. The continuous fall in the prices of the generators based on renewable energy and the increasing reliability of these systems led to a greater use of the sources of renewable energy for the generation of electric power in the isolated areas. The diesel generators can incorporate in a network with other sources in base of renewable energies in order to create a new network known as distributed network. More recently intermittent renewable resources such as the wind power were considered as a distributed generation which is seen as being deployed to reduce the total emissions. The distributed generation equipment sets causing electric disturbances result in destabilizing the global network as well as pollutant, for these reason, system D-FACTS comes to answer all the concern of the customers, manufacturers, suppliers and the managers of the distributed network.
Performance evaluation of SEPIC, Luo and ZETA converter
Authors: Siddharthan Niranjana , Balasubramanian Baskaran
Published: January 2019

DC-DC converters are devices which convert direct current (DC) from one voltage level to another by changing the duty cycle of the main switches in the circuits. These converters are widely used in switched mode power supplies and it is important to supply a constant output voltage, regardless of disturbances on the input voltage. In this work, the performance of three different converters such as Single-Ended Primary-Inductance Converter (SEPIC), Luo converter and ZETA converter have been analyzed. Further, the parameters values such as ripple voltage, switching losses and efficiency of the proposed three different converters were compared with each other. Also, the simulation work has been carried out using MATLAB/SIMULINK software. From the comparison of obtained results, it is observed that the ZETA converter has high significance than the SEPIC and Luo converter.
Performance investigation of multi-level inverter for DFIG during grid autoreclosure operation
Authors: Ahmed Mahrous , Metwaly Mohamed K. , Elkalashy Nagy
Published: January 2019

This paper aims to study the multi-level inverter (MLI) fed the widely used doubly-fed induction generators (DFIG). The new DFIG generator connected to the electrical grid is evaluated during single-pole autoreclosure operation to continue the generator support to the system. The effect of using MLI on the performance of the DFIG system during the dynamic operation of the autoreclosure is studied for the first time and integrating a new MLI during the fault and clearing periods. A dynamic arc model is represented depending on Kizilcay model. Furthermore, the dynamics performance of the DFIG during integration with MLI to improve the performance is studied. The MLI is preferred because of processing high power with high resolution of the voltage waveforms and lower stresses on switches. The MLI enhances the performance of DFIG-based generating system associated with electrical grid system in case of single-pole autoreclosure. The proposed cases of studies are simulated using Matlab/Simulink to evaluate the proposed system performance during the autoreclosure operation for faults in double-circuit transmission systems.
Optimization of PFC cuk converter parameters design for minimization of THD and voltage ripple
Authors: Rashid M. A. Z. A. , Ponniran A. , Noor M. K. R. , Jumadril J. N. , Yatim M. H. , Kasiran A.N.
Published: January 2019

This paper presents the optimization of PFC Cuk converter parameter design for the minimization of THD and voltage ripple. In this study, the PFC Cuk converter is designed to operate in discontinuous conduction mode (DCM) in order to achieve almost unity power factor. The passive components, i.e., inductor and capacitor are designed based on switching frequency and resonant frequency. Nevertheless, the ranges of duty cycle for buck and boost operations are 0<D<0.5 and 0.5<D<1, respectively for the output voltage variation of the converter. The principle of the parameters design optimization is based on the balancing energy compensation between the input capacitor and output inductor for minimization of THD current. In addition, the selection of high output capacitance will minimize the output voltage ripple significantly. A 65 W PFC Cuk converter prototype is developed and experimentally tested to confirm the parameters design optimization principle. The experimental results show that the THD current is reduced to 4.5% from 61.3% and the output voltage ripple is reduced to 7 V from 18 V after parameters optimization are realized. Furthermore, it is confirmed that the output voltage ripple frequency is always double of the input line frequency, 50 Hz and the output voltage ripple is always lower than the maximum input voltage ripple.