bluuebunny/crossref_metadata_2025 huggingface dataset:
Characterization of cracking in pavement distress using image processing techniques and k-Nearest neighbour
Authors: Ibrahim A. , Osman M.K. , Yusof N.A.M. , Ahmad K.A. , Harun N.H. , Raof R.A.A.
Published: April 2019

This study presents characterization of cracking in pavement distress using image processing techniques and k-nearest neighbour (kNN) classifier. The proposed semi-automated detection system for characterization on pavement distress anticipated to minimize the human supervision from traditional surveys and reduces cost of maintenance of pavement distress. The system consists of 4 stages which are image acquisition, image processing, feature extraction and classification. Firstly, a tool for image acquisition, consisting of digital camera, camera holder and tripod, is developed to capture images of pavement distress. Secondly, image processing techniques such as image thresholding, median filter, image erosion and image filling are applied. Thirdly, two features that represent the length of pavement cracking in x and y coordinate system namely delta_x and delta_y are computed. Finally, the computed features is fed to a kNN classifier to build its committee and further used to classify the pavement cracking into two types; transverse and longitudinal cracking. The performance of kNN classifier in classifying the type of pavement cracking is also compared with a modified version of kNN called fuzzy kNN classifier. Based on the results from images analysis, the semi-automated image processing system is able to consistently characterize the crack pattern with accuracy up to 90%. The comparison of analysed data with field data shows good agreement in the pavement distress characterization. Thus the encouraging results of semi-automated image analysis system will be useful for developing a more efficient road maintenance process.
Gateway sink placement for sensor node grid distribution in lora smart city networks
Authors: Bt. Zainal Nur Aishah , Hadi Habaebi Mohamed , Jahan Chowdhury Israth , Islam Md Rafiqul , Daoud Jamal I.
Published: April 2019

Low Power Wide Area Network (LPWAN) is a type of wireless communication network designed to allow long range communications at a low bit rate among things (connected objects), such as sensors operated on a battery. It is a new technology that operates in unauthorized spectrum which designed for wireless data communication [1]. It is used in Internet of Thing (IoT) applications and M2M communications. It provides multi-year battery lifetime and is intended for sensors and applications that need to transmit only a few information over long distances a few times per hour from different environments. In order to have an insight of such long range technology, this paper evaluates the performance of LoRa radio links under shadowing effect and realistic smart city utilities node grid distribution. Such environment is synonymous to residential, industrial and modern urban centers. The focus is to include the effect of shadowing on the radio links while attempting to study the optimum sink node numbers and their locations for maximum sensor node connectivity. Results indicate that the usual unrealistic random node distribution does not reflect actual real-life scenario where many of the these sensing nodes follow the utilities infrastructure around the city (e.g., street light posts, water and gas delivery pipes,…etc). The system is evaluated in terms of connectivity and packet loss ratio.
A coarse-to-fine copy-move image forgery detection method based on discrete cosine transform
Authors: Azol Mas Elyna , Ramli Nur Hidayah , Lee Y.S. Lee , Abuzar Siti Azura
Published: April 2019

Copy-move forgery is a type of image forgery where one part of an image is copied and pasted in other regions of the same image, and it is one of the most common image forgeries to conceal some information in the original image. Discrete Cosine Transform (DCT) is one of the detection techniques which the detection rate relies intensely on the size of block used. Small block size is known for its ability to detect fine cloned objects, but the drawback is it produces too many false positive and requires high execution time. In this research, a method to overcome the weaknesses of using small block size by applying the coarse-to-fine approach with the two-tier process is proposed. The proposed method is evaluated on fifteen forged images on the CoMoFoD dataset. The results demonstrated that the proposed method is able to achieve high precision and recall rate of over 90% as well as improves the computation time by reducing the overall duration of forgery detection up to 73% compared to the traditional DCT method using small block size.  Therefore, these findings validate that the proposed method offers a trade-off between accuracy and runtime.
e-PADI: an iot-based paddy productivity monitoring and advisory system
Authors: Ismail M.A.F. , Md. Isa M. N. , Mohyar S. N. , Ahmad M.I. , Ismail M. N. M. , Ismail R. C. , Harun A. , Murad S.A.Z.
Published: April 2019

Rice is source of food calories and protein.  This second most widely grown cereal crop is the staple food for more than half the world’s population especially in developing countries.  The ability of global rice production to meet population demands (now estimated at more than 5 billion and projected to rise to 8.9 billion by 2050) remains in uncertainty in the near future unless challenges in rice production are properly addressed [1-3]. This paper proposed an IoT (Internet of things)-based paddy productivity monitoring and advisory system Using Dash7 Wireless Network Protocol. All collected data will be stored in a database management system to enable users to retrieve data either from tablets, smartphones or computers. The heart of the system is the ATmega328p microcontroller that will control the payload of the wireless network of dash7 and read data from sensor nodes. Results show all data from sensor nodes in representation of graph for analysis purpose.
Mango ripeness classification system using hybrid technique
Authors: Farid Mavi Muhamad , Husin Zulkifli , Ahmad Badlishah , Mohd Yacob Yasmin , Mohamed Farook Rohani S. , Keong Tan Wei
Published: April 2019

Nowadays there are many systems develop for agricultural purposes and most system implemented on the use of non-destructive technique not only to classify but also to determine the fruit ripeness. However, most of the studies concentrates using single technique to assess the fruit ripeness. This paper presents the work on mango ripeness classification using hybrid technique. Hybrid stands for mix or combination between two different elements, thus this study combined two different technique that is image processing and odour sensing technique in a single system. Image processing technique are implemented using color image that is HSV image color method to determine the ripeness of fruit based on fruit peel skin through color changes upon ripening. Whereas, odour sensing technique are implemented using sensors array to determine the fruit ripeness through smell changes upon ripening. The “Harumanis” and “Sala” mango was used for sample collection based on two different harvesting condition that is unripe and ripe were evaluated using the image processing and followed by the odour sensor. Support Vector Machine (SVM) is applied as classifier for training and testing based on the data collected from both techniques. The finding shows around 94.69% correct classification using hybrid technique of image processing and odour sensing in a single system.
Android-based automatic detection and measurement system of highway billboard for tax calculation in indonesia
Authors: Fadillah Rahmat Romi , Purnamawati Sarah , Saito Handra , Fariz Ichwan Muhammad , Murti Lubis Tri
Published: April 2019

Billboards are objects, tools or actions, which based on the characteristics serve its own purpose to earn profits, advertise certain people or service, and to draw public’s attention by placing it in a very strategic place. It has led the government to charge tax on billboards based on its location, dimensions, and viewpoints. Therefore, authorized parties have to be able to ensure the data authenticity of the proposed billboards. One of the obstacles in data verification is the time of billboards measurement process due to its size and height from the ground, based on this problem, and we developed a system which can measure the dimensions of billboards without physically touching it by implementing image processing methods to identify the billboards. The implementation is by measuring the dimensions of the billboards using perspective concept, then calculates the distance between the camera and the object using two-point distance calculation GPS coordinates. The results showed that the distance calculation using the GPS method generated inaccurate values, whereas the systematic distance method generated a result of errors’ range from 0.5 to 25 cm if the image acquisition is performed nearly perpendicular to the object.
Low voltage CMOS power amplifier with integrated analog pre-distorter for BLE 4.0 application
Authors: Mariappan Selvakumar , Rajendran Jagadheswaran , Mohd Noh Norlaili , Ramiah Harikrishnan , Abd Manaf Asrulnizam , Kunhi Mohd Shukri Korakkottil , Mohd. Yusof Yusman
Published: April 2019

In this paper, a low power consumption linear power amplifier (PA) for Bluetooth Low Energy (BLE) application is presented. An analogue pre-distorter (APD) is integrated to the PA. The APD consist of an active inductor, driver amplifier, and a RC phase linearizer. The PA delivers more than 12dB power gain from 2.4GHz to 2.5GHz. At the center frequency of 2.45GHz, the gain of the PA is 13dB with PAE of 26.7% and maximum output power of 14dBm. The corresponding OIP3 is 27.6dBm. The supply voltage headroom of this PA is 1.8V. The propose APD serves to be a solution to improve the linearity of the PA with minimum trade-off to the power consumption.
A simplify fuzzy logic controller design based safe experimentation dynamics for pantograph-catenary system
Authors: Faisal Farhan Mohd , Abdul Shukor Nor Sakinah , Ashraf Ahmad Mohd , Helmi Suid Mohd , Riduwan Ghazali Mohd , Mat Jusof Mohd Falfazli
Published: April 2019

Contact force between catenary and pantograph of high speed train is a crucial system to deliver power to the train. The inconsistence force between them can cause the contact wire oscillate a lot and it can damage the mechanical structure of system and produce electric arc that can reduce the performance of system. This project proposes a single-input fuzzy logic controller (SIFLC) to control the contact force between the pantograph-catenary by implement Safe Experimentation Dynamics (SED) method to tune the SIFLC parameters. The essential feature of SIFLC is that it is model-free type controller design with less pre-defined variables as compared to other existing model-based controllers. The performance of the SIFLC is analyzed in terms of input tracking of contact force of pantograph-catenary and time response specifications. A simplified model of three degree of freedom (3-DOF) pantograph-catenary system is considered. In this study, the simulation result shows that the SIFLC successfully track the given contact force with less overshoot with percentage different of peak to peak response  from actual force 2% and fast response within 5.27s
Design of low power 8-bit gate-diffusion input (GDI) full adder using variable body bias (VBB) technique in 90nm technology
Authors: Wei Kai Woo , Ahmad Nabihah , Hairol Jabbar Mohamad
Published: April 2019

In digital system, the full adders are fundamental circuits that are used for arithmetic operations. Adder operation can be used to implement and perform calculation of the multipliers, subtraction, comparators, and address operation in an Arithmetic Logic Unit (ALU). The subthreshold leakage current increasing as proportional with the scaling down of oxide thickness and transistor in short channel sizes. In this paper, a Gate-diffusion Input (GDI) circuit design technique allow minimization the number of transistor while maintaining low complexity of logic design and low power realization of Variable Body Biasing (VBB) technique to reduce the static power consumption. The Silterra 90nm process design kit (PDK) was used to design 8-bit full adder with VBB technique in full custom methodology by using Synopsys Electronic Design Automation (EDA) tools. The simulation of 8-bit full adder was compared within a conventional bias technique and VBB technique with operating voltage of  supply. The result showed the reduction of VBB technique in term of peak power,  and average power,   compare with conventional bias technique. Moreover, the Power Delay Product (PDP) showed 1.29pJ in VBB technique compare with conventional bias mode 1.67pJ. The area size of 8-Bit full adder was 10μm×23μm.
Development of non-occlusive blood pressure monitor with height correction for home used application
Authors: Setiawan Agung W. , Heryanto Nur A. , Putra Fadel M. , Suyitno Febri , Martin M. Andre , Raharja Yana S.
Published: April 2019

Non-occlusive blood pressure measurement method is developed to avoid the use of discontinuous and uncomfortable cuff-based methods. In this research, Pulse Transit Time (PTT) and Photoplethysmogram Intensity Ratio (PIR) is used to measure blood pressure. Two photoplethysmogram (PPG) sensors that are placed on the wrist and one of the finger joints both on the left hand is used to get the PTT and PIR. The name of the device is ARTSEN. During measurement, there is a measurement error caused by the hydrostatic effect when the device position is not inline with the heart. To minimize this error, this research proposes an automatic continuous blood pressure monitor. The device will conduct measurement only when the height of the device is inline with the heart. Accelerometer and gyroscope are used to detect the height of the device. There are 30 subjects that are involved in this research. To evaluate the performance of the device, there are two measurement conditions, during lying in the bed and sit down position. The blood pressure measurement is conducted using ARTSEN and sphygmomanometer (as the gold standard of blood pressure measurement). The average error of systolic blood pressure is 8 mmHg with standard deviation 5 mmHg, and average error of diastolic blood pressure is 8 mmHg with standard deviation 4 mmHg.
Study of single layer microwave absorber based on rice husk Ash/CNTs composites
Authors: Lee Y.S. , Wee F.H. , You K.Y. , Liyana Z. , Lee C.Y , Azol Mas Elyna , Ramli M.H. , Gan H.S. , Shakhirul M.S. , Idris Nurulbariah , Cheng E.M.
Published: April 2019

This paper presents the study of microwave absorption single layer microwave absorber based on rice husk ash (RHA) with additional carbon nanotubes (CNTs) filler loading into the composites. The relative permittivity of RHA and CNTs composites (RHA/CNTs) were measured by using Agilent high temperature probe and 85070E software. The CST-MWS software is used to design and evaluate the microwave absorption of RHA and RHA/CNTs with metal backed plate. The microwave absorption of simulated and measured results is compared. The RHA microwave absorber only absorbed maximum, -8 dB at 10.8 GHz of the incident electromagnetic radiation and the RHA/CNTs absorbed less than -15 dB with wider bandwidth over 10.8 GHz to 12.8 GHz compare with RHA composites single layer microwave absorber. The results indicated that the RHA/CNTs composites have enhanced the microwave absorption of RHA composites.
Electronic controlled CMOS inductor with patterned metal ground shields for fine inductance tuning application
Authors: Syahadah Yusof Nur , Mohd Noh Norlaili , Rajendran Jagadheswaran , Abd Manaf Asrulnizam , Kunhi Mohd Shukri Korakkottil , Mohd. Yusof Yusman , Ramiah Harikrishnan , Packeer Mohamed Mohamed Fauzi Bin
Published: April 2019

This paper is on an inductance fine tuning technique which benefits from the idea of varying the number of metal plates of an inductor’s pattern ground shield (PGS) shorted to ground to change its magnetic fields. This technique is unique because the geometry and physical shape of the inductor remains untouched from its form in the process design kit (PDK) while the inductance is being tuned. The number of metal shields shorted to ground was controlled by an electronic circuit which consists of analog-to-digital converters and active switches. Both Sonnet EM simulator and Cadence Virtuoso were used for the inductor and circuit simulations. From the simulation, it was found that the inductance increased while the Q-factor decreased as more metal shields were shorted to ground. For instance, at 1.6 GHz, the simulated inductance was 8.8 nH when all metals were floated and 9.4 nH when all metals were shorted to ground. On the other hand, the simulated Q-factor was 10.4 when all metals were floated and 9.8 when all metals were shorted to ground. From both simulation and measured results, both inductance and inductance tuning range increased with frequency. From the measured results too, the inductance observed was 9.4 nH at 1.6 GHz, 10.8 nH at 2 GHz, and 13.5 nH at 2.5 GHz when all the metal shields were shorted to ground. The inductance tuning range was 6.2% at 1.6 GHz, 12.5% at 2 GHz, and 20% at 2.5 GHz. The measured results showed good correlation with the simulated results trend, but with smaller value of inductance, inductance tuning range and Q-factor.
FPGA-based architecture of hybrid multilayered perceptron neural network
Authors: Yee Ann Lee , Ehkan P. , Y. Mashor M. , M. Sharun S.
Published: April 2019

The HMLP is an ANN similar to the MLP, but with extra weighted connections that connect the input nodes directly to the output nodes. The architecture of the HMLP neural network for implementation on FPGA is proposed. The HMLP architecture is designed to be concurrent to demonstrate the parallel nature of the HMLP where each hidden or output node within the same hidden or output layer of the HMLP can calculate its output independently. The HMLP architecture is designed to be modular as well, such that if modification to a module is necessary, only the specific module need to be modified and all other modules can be retained. This modularity will be especially helpful when different activation function is to be swapped in to replace current activation function. All calculations in the HMLP are performed in floating-point arithmetic. The HMLP architecture is compiled, simulated and finally implemented on the Cyclone V FPGA of DE1-SoC board. The simulation outcome and FPGA outputs showed that the developed HMLP architecture is able to calculate correct output values for all test datasets.
A memristor-based chaotic-masking for analog spread-spectrum communication
Authors: Taher Abuelma’atti Muhammad , Yousef Alnafisa Abdullah
Published: April 2019

This paper presents a simple chaotic-masking system. The system uses a chaos generator built around a grounded memristor. The memristor is emulated using the current-feedback operational amplifier (CFOA). At the sending end the signal is masked by adding chaos. At the receiving end the signal is recovered by subtracting the chaos. The performance of proposed system is investigated using sinusoidal and square wave signals.
Design and development of mobile charging system using thermoelectricity
Authors: Almawgani A. H. M. , Hindi A. T. , Irfan Muhammed , Alghamidi Hisham , Rahman Saifur
Published: April 2019

Energy sources differ throughout the world-, as do the costs of acquiring those sources. Electric energy has become an important element in our daily lives, especially for those devices that cannot be eliminated due to necessity. The usage of mobile phones has become an important element of our lives and their battery consumption is increasing due to the installation of a variety of Android applications. Electricity is required to charge the battery of the mobile phone; however, and at times, while travelling in a remote area there might not be access to electricity. Thus, the mobile would not be able to recharged. This paper presents the idea to design a mobile charging system using thermoelectricity. The thermal energy from the human body has been utilized to generate the electric power needed for the mobile charging process. To do this, a Peltier circuit device is connected to the human body. The difference in temperature between the human body and the atmosphere generates the voltage at the output of the Peltier circuit. The output from the Peltier circuit is then given to the boost converter and amplified to generate 5 volts which in turn are used to charge the mobile.
Performance assessment, in terms of ripples and power, of conventional and interleaved converter DC–DC with coupled and independent inductors dedicated to photovoltaic installations
Authors: Lagssiyer Brahim , Abdelhak Aziz , Abdelhak Aziz , Hafyani Mohamed El , Hafyani Mohamed El
Published: April 2019

Our work focuses on the design and analysis of an interleaved Boost converter DC-DC with coupled and independent inductors in terms of ripples and power. An interleaving strategy is adopted to minimize the currents in the Boost components and consequently to miniaturize them. The command shift of the switch by the X.T value (X: shift coefficient 0<X<1 and T: period of the command signal), minimizes the ripple of the input current and output voltage and maximizes the power extracted from the photovoltaic system. The coupling technique of inductances of interleaved Boost, furthermore reduces the ripples of the input currents and further maximizes the power extracted from the photovoltaic panels. To determine the variation of the power extracted from the PV, according to the duty cycle D and the switches command shift X.T, the duty cycle, was manually varied (Similar to a MPPT command). For this we modeled, under MATLAB/Simulink, the photovoltaic system, the power interface (DC/DC Boost interleaved). Finally, a prototype of interleaved Boost converter with coupled inductors and a shifted control of the switches was realized. Experimental results have been proposed to validate the results of simulations.
Estimation of power and delay in CMOS circuits using LCT
Authors: Aylapogu Pramod Kumar , Aditya B.L.V.S.S , Sony G. , Prasanna Ch , Satish A , Sony G. , Sony G. , Prasanna Ch , Prasanna Ch , Satish A , Satish A
Published: April 2019

With a rapid growth in semiconductor Industry, complex applications are being implemented using small size chips, with the use of Complementary Metal Oxide Semi-Conductors (CMOS). With the introduction of new Integrated Circuit (IC) technology, the speed of the circuits has been increased by around 30%. But it was observed that for every two years, the power dissipation of a circuit doubles. The main reason for this power dissipation is leakage currents in the circuit. To reduce these leakage currents, we can reduce the width of the device. In addition to this, we can use lector techniques that use Leakage Control Transistors (LCT) and High Threshold Leakage Control Transistors(HTLCT). In this paper, we present a circuit technique that uses 130 nano-meter CMOS VLSI circuits that use two extra transistors to mitigate the leakage currents. The estimation of power and delay will be discussed using LCT’s and HTLCT’s
Fine grained medical image fusion using type-2 fuzzy logic
Authors: H.R Ramya , Sujatha B K
Published: April 2019

In recent years, many fast-growing technologies coupled with wide volume of medical data for the digitalization of that data. Thus, researchers have shown their immense interest on Multi-sensor image fusion technologies which convey image information based on data from various sensor modalities into a single image. The image fusion technique is a widespread technique for the diagnosis of medical instrumentation and measurement. Therefore, in this paper we have introduced a novel multimodal sensor medical image fusion method based on type-2 fuzzy logic is proposed using Sugeno model. Moreover, a Gaussian smoothen filter is introduced to extract the detailed information of an image using sharp feature points.Type-2 fuzzy algorithm is used to achieve highly efficient feature points from both the b images to provide high visually classified resultant image. The experimental results demonstrate that the proposed method can achieve better performance than the state-of-the- art methods in terms of visual quality and objective evaluation.
Energy and power estimation for three different locations in Palestine
Authors: Badawi Ahmed S A , Hasbullaha Nurul Fadzlin , Yusoff Siti Hajar , Hashim Aisha Hassan
Published: April 2019

In this paper power energy estimated based on wind speed records in three different areas in Palestine Nablus, Ramallah and Gaza. The main aims of this study to calculate the total amount of power and energy that can produce and to encourage investment in renewable energy in Palestine. Available meteorological data from local weather stations are used to study the wind energy potential in the West Bank (WB) for two sites and Gaza Strip (GS) for one site. The daily average wind speed data for three sites in Palestine analyzed, and fitted to the Weibull probability distribution function. The parameters of Weibull have been calculated by author using Graphical method. This study shed lights on the relationship between the wind energy and power versus the mean wind speed (MWS). The total gathered energy per unit area during 2006 in WB from Nablus site is 927.1 kwhr/m2, whereas 2008.0141 kwhr/m2 from Ramallah site.This significant study to assess the wind energy production in Palestine to encourage investment in renewable energy sectors.
Reliability optimization of electrical distribution systems considering expenditures on maintenance and customer interruptions
Authors: Kela K B , Suthar Bhavik N , Arya L D
Published: April 2019

In this paper, a methodology is proposed which shows enhancement of reliability by optimizing total reliability cost of electrical distribution systems. The total reliability cost consists of cost incurred by utility and customers both. An objective function in terms of failure rates and repair times i.e. primary reliability indices has been formulated which  depicts both these costs . Hence, optimization of the objective function will give a balance between these costs with optimized values of primary reliability indices. This optimization has been done considering the constraints of achieving customer and energy based reliability indices below threshold/target values. The methodology has been applied on Roy Billinton Test System- Bus 2 (RBTS-2).  The problem has been solved by applying Flower Pollination (FP) algorithm. A comparison has been made with the results obtained by Differential evolution (DE) algorithm also for  the system considered.
An open source tool for reliability evaluation of distribution system using Monte Carlo simulation
Authors: Chitumodhu Bhargava , Loka Renuka
Published: April 2019

As the demand for electricity is shooting exponentially, reliable supply of electrical energy from generation to customer is the challenging task faced by utilities. Though generation and transmission can be maintained at hundred percent reliability, reliability of entire system cannot be assured unless focus is laid on distribution system. Most of the faults are occurring on the distribution system which is directly connected to different customers. Hence, we need to intensify the attention at distribution level. Due to deregulation, private players are evolving in distribution sector which complicates power system data exchange and information integration.   To cope with this scenario, reliability evaluation of distribution system through Monte Carlo Simulation (MCS) with feature of interoperability for Bus 2 of RBTS system has been introduced and analyzed using SOAP web services. Simulation is performed by developing a web application in Java and is deployed on the Glass-fish server using JAX-WS. The intent behind this proposed model is to use the internet as the transactional tool and exposing the functionality of the program for reliability evaluation for utilities to use and providing facility of interoperability through standards refinement and integration into profiles.
AACO technique for solving multiobjectives in electrical distribution system
Authors: Babu P. Ravi , Molughu Srivani
Published: April 2019

The multi objectives in electrical distribution system are service restoration and minimization of Ohmic losses. These objectives can be achieved by artificial ant colony optimization through reconfiguration. Service restoration is also a major aspect for reliable service. If any fault occurs in the system, faulted zone is isolated from healthy system. This originates discontinuity in power supply. To maintain the continuity in power supply there is a necessity to provide service to these loads from adjacent healthy feeders through reconfiguration without infringement of radiality, load balance and critical parameters. In distribution system Ohmic losses are 30 to 40 percent. In order to minimize these losses, there is a need for reconfiguration of the system and perform the power flow analysis to get bus voltages, branch currents and power losses (i.e. real or Ohmic or copper loss and reactive power loss). A direct load flow analysis is adopted in the proposed work. In this paper four feeder test system used for service restoration and IEEE 33 bus, IEEE 69 bus test systems for minimization of Ohmic losses have been obtained.
Solving economic dispatch and unit commitment problem in smart grid system using eagle strategy based crow search algorithm
Authors: HABACHI Rachid , Touil Achraf , Boulal Abdellah , Charkaoui Abdelkabir , Echchatbi Abdelwahed
Published: April 2019

The economic dispatch problem of power plays a very important role in the exploitation of electro-energy systems to judiciously distribute power generated by all plants. 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. This research article integrates the crow search algorithm as a local optimizer of Eagle strategy to solve economic dispatch and unit commitment problem in smart grid system.
Evaluation of gas fuel and biofuel usage in turbine
Authors: Al-Mamoori Dalya H. , Aljanabi Mohanad H. , Alobaidi Ali Assim , Neda Omar Muhammed , Al-Tameemi Zaid H.
Published: April 2019

Modern gas turbines are a significant source for power generation and prime mover for marine propulsion. The depleting fossil fuel sources have provided a cue for broader implementation and usage of renewable energy. Biofuel has been touted as a substitute for natural gas to power gas turbines. To confirm the dependability and reliability of this attempt in a complex multi-domain system, for example, the gas turbine, the fuel system of the micro-gas turbine is designed and modelled using MATLAB Simulink. The model; simulates the; transient and steady state of a gas turbine’s nominal functional situations. Evaluations between the field data and; simulation outcomes validate a high degree of correspondence. The fuel system in the micro;-gas turbine simulation model is also optimized with the experimental data. 
Improved ROCOF relay for islanding detection of solar distributed generation
Authors: Reddy J. Rajesh , Pandian A.
Published: April 2019

In recent years to meet the energy consumption demand of the world, all are working on renewable distributed generation (RDG) due to shortage of fossil fuels. The RDG systems after integrating with grid, has a disadvantage of islanding in the power system. Islanding is caused, if the RDG is supplying power to load connected due to failures in the grid. As per IEEE 1547 distributed generation (DG) interconnection standards, the islanding should be detected within 2 seconds after islanding. In this paper a hybrid islanding detection scheme is presented with rate of change of frequency (ROCOF) and reactive power injection with positive feedback. It will reduce the non detection zone (NDZ) of passive ROCOF relay to zero and can detect balanced islanding. The computer simulations are performed on MATLAB-2016. The simulations results show the effective performance of the proposed method.
Particle swarm optimisation (PSO) algorithm with reduced numberof switches in multilevel inverter (MLI)
Authors: Rasheed Mohammed , Omar Rosli , Sulaiman Marizan , Halim Wahidah Abd
Published: April 2019

In this work, a three-phase of multilevel inverter (MLI) with reduced number of switches components based on Newton Raphson (NR) and Particle Swarm Optimization (PSO) techniques were presented. The Selective Harmonic Elimination Pulse-Width Modulation (SHE-PWM) is a powerful technique for harmonic minimization in multilevel inverter within allowable limits. NR and PSO techniques were used to determine the switching angles by solving the non-linear equation's analysis of the output voltage waveform of the modified CHB-MLI in order to control the fundamental component. A comparison has been made between NR and PSO techniques related to optimization in order minimize harmonic distortion. The main aims of this paper cover design, modeling, construction the modified topology of the CHB-MLI for a three phase five levels inverter. The controllers based on NR and PSO were applied to the modified multilevel inverter. The inverter offers much less THD using PSO scheme compared with the NR scheme. The performance of the proposed controllers based on NR and PSO techniques done by using MATLAB/Simulink of results are compared.
Electrical and thermal efficiency of air-based photovoltaic thermal (PVT) systems: an overview
Authors: Shahirah Binti Rukman Nurul , Fudholi Ahmad , Taslim Ivan , Ayu Indrianti Merita , Noviantari Manyoe Intan , Lestari Uce , Sopian Kamaruzzaman
Published: April 2019

The development of photovoltaic thermal (PVT) system is a very promising area of research. PVT systems using in various applications, such as solar drying, solar cooling, water heating, desalination, and pool heating. With the recognition of the potentials and contributions of PV system, considerable research has been conducted to attain the most advancement which may produce reliable and sustainable PVT system. The cooling system’s design refers to the absorber design which mostly focuses on water and air-based PVT systems. An air-based system has been developed through different absorber configurations, air flow modes and single- or double-pass design. Hence, a summarization on various research and development of air-based PVT system will be presented.
Improved reliable multilevel inverter for renewable energy systems
Authors: M Sujatha , Parvathy A.K.
Published: April 2019

New improved multilevel inverter (MLI) topology for Renewable energy systems is proposed in this paper. Cascaded multilevel inverters (CMLI) produce an output voltage level depending on the number of individual sources connected. The main drawback of CMLI is, as the output voltage level increases in number, the switches used in the device also increases and hence the complexity of the circuit increases. As the number of switches increases, the reliability of the circuit decreases. In this paper a novel MLI topology, which employs lesser number of switches, is proposed. A simulation model of CMLI and the proposed MLI has been built in MATLAB/SIMULINK. The reliability of the CMLI and the new topology MLI is analyzed by using MIL-HDBK-217.  
Improved wind system using non-linear power control
Authors: IHEDRANE Yasmine , El Bekkali Chakib , El Ghamrasni Madiha , Mensou Sara , Bossoufi Badre
Published: April 2019

This article, present a new contribution to the control of wind energy systems, a robust nonlinear control of active and reactive power with the use of the Backstepping and Sliding Mode Control approach based on a doubly fed Induction Generator power (DFIG-Generator) in order to reduce the response time of the wind system. In the first step, a control strategy of the MPPT for the extraction of the maximum power of the turbine generator is presented. Subsequently, the Backstepping control technique followed by the sliding mode applied to the wind systems will be presented. These two types of control system rely on the stability of the system using the LYAPUNOV technique. Simulation results show performance in terms of set point tracking, stability and robustness versus wind speed variation. 
Rakebot: a robotic rake for mixing paddy in sun drying
Authors: Abana Ertie Cusipag , Pacion Meljiflor , Sordilla Roxanne , Montaner Daniel , Agpaoa Dennis , Allam Rryma Mae
Published: April 2019

Sun drying is a conventional drying method of paddy commonly used in Asia. During the process, grains are mixed and turned continuously using a rake to maintain good quality. For this reason, a robotic rake or Rakebot was developed in this study to properly mix the grains during sun drying. Rakebot is manually controlled using a mobile application through Bluetooth connection but can also move automatically using the previous movements that were recorded on the first used. It was developed using a microcontroller that gives directions to the motors based on the received instructions from the mobile application. The recorded movements are saved in a memory card by means of a memory card module connected to the microcontroller. The objective measures showed that the Rakebot ensures simultaneous reduction of the moisture content of paddy. Also, the rake design of the robot prevents fissuring of grains.
Embedded real-time system for detecting leakage of the gas used in iraqi kitchens
Authors: Kareem Husam
Published: April 2019

A major issue that happens in kitchens of houses and/or restaurants is the leakage of gas used as a fuel for cooker stove, which is commonly referred to as LPG (liquefied petroleum gas). LPG leakage may lead to a serious fire or even a deadly explosion that might affect the surrounding people. A substantial solution to avoid such disasters is by stopping its main cause. Therefore designing a device capable of monitoring and detecting such gases can minimize the dangerous and unwanted incidents by LPG leakage. This paper introduces a low cost and energy efficient real-time monitoring system that able to sense different dangerous gases, specifically those used for stove cooker. This system considers the pros of the previously introduced systems and fixes the cons available in those systems. In addition, the manufacturing cost has been taken into consideration. If the system senses any type of LPG gas (there is a gas leakage), it will react by making three different actions. It will make an alert sound to notify the people around the leakage place, send an SMS to two cell phones, and show, on an LCD screen, the leakage location.
The multilevel inverter with clamped-diode
Authors: Nguyen Trong-Thang
Published: April 2019

In this study, the author analyzes the advantages and disadvantages of multi-level inverter compared to the traditional two-level inverter and then chose the suitable inverter. Specifically, the author analyzes and designs the three-level inverter, including the power circuit design and control circuit design. All designs are verified through the numerical simulation on Matlab. The results show that even though the three-level inverter has a low number of switches (only 12 switches), but the quality is very good: the total harmonic distortion is small; the output voltage always follows the reference voltage.
Peak-to-average power ratio reduction in wavelet packet modulation Using Binary Phase Sequence.
Authors: Kulkarni Vijaya M. , Bhalchandra A. S.
Published: April 2019

A novel method of Peak–to-Average–Power-Ratio reduction is presented in this paper using  WPT  for multi carrier modulationand Riemann matrix for phase sequencing in SLM. Wavelet Packet Multicarrier Modulation(WPM) is a betteralternative to the existing multicarrier transmission system,OFDM system which suffers from high PAPR.Further reduction in Peak to Average Power Ratio (PAPR)is achieved by using Wavelet Packet Modulation(WPM) with SLM technique. Classical SLM uses random phases for phase rotations which  suffers from the additional load  of transmitting SI(side Information) to receiver. So to overcome a novel method is proposed here  which uses  the principle of varying the phases of the subcarrier data block to be transmitted ,using rows of the normalised Reimann matrix as phase sequence vectors for the Selected Mapping (SLM)Technique. The generated WPM frame with minimum PAPR is selected and transmitted .The proposed system achieves a significant improvement in PAPR reduction over the OFDM-classical SLM and WPM-classical SLM.
Design of parallel and pipelined DA based OBC fir filter for software defined radio
Authors: Madasamy Rajmohan , Shekhar Himanshu
Published: April 2019

Software Defined Radio (SDR) is a new technology used to implement different wireless communication standard for mobile communication. The Intermediate Frequency (IF) block is the most demanding block in software defined radio. The most important task in intermediate processing block is digital filtering which is carried out by Finite Impulse Response (FIR) filter. One of the major techniques for the calculation of inner product is Distributed Arithmetic (DA) based FIR filter which uses Look Up Table (LUT) to eliminate the need of multiplier. The efficiency of the DA filter is affected with the increasing number of address line and also due to its serial operation. To overcome this problem parallel and pipeline based DA filter using Offset Binary Coding (OBC) for Two Bit At A Time (2-BAAT) is proposed. Our proposed method achieves less area, low power consumption and nominal delay for SDR application.
Identification information sensors of robot systems
Authors: Parkhomey Igor , Boiko Juliy , Eromenko Oleksander
Published: April 2019

At the present time, the complexity of identification is to find such a description, in which the image (information) of each class would have identified similar properties. The task is to make the transformed description includes the whole set of input images, united by the similarity class by the given ratio.Using the ordinates of an autocorrelation function is an inseparable shift in the center of gravity of an image, which leads to a change of such description.Nicest, the concept of an invariant description of information arises, this is an autocorrelation function, which is invariant to the description of any displacements of the image in the vertical and horizontal directions.The problem of finding an optimal decision rule arises, which, in a number of cases, can be constructed on the basis of a method, based on the definition of the maximum incomplete coefficient of similarity.Using this method, the solutions, that are almost unintelligible to the errors that arise due to the effects of interference, are found. Therefore, in increments k, this rule passes into the Bayes’ rule.
Comparison of feature selection techniques in classifying stroke documents
Authors: Mohd Rafei Nur Syaza Izzati , Hassan Rohayanti , Saedudin RD Rohmat , Mat Raffei Anis Farihan , Zakaria Zalmiyah , Kasim Shahreen
Published: April 2019

The amount of digital biomedical literature grows that make most of the researchers facing the difficulties to manage and retrieve the required information from the Internet because this task is very challenging. The application of text classification on biomedical literature is one of the solutions in order to solve problem that have been faced by researchers but managing the high dimensionality of data being a common issue on text classification. Therefore, the aim of this research is to compare the techniques that could be used to select the relevant features for classifying biomedical text abstracts. This research focus on Pearson’s Correlation and Information Gain as feature selection techniques for reducing the high dimensionality of data. Towards this effort, we conduct and evaluate several experiments using 100 abstract of stroke documents that retrieved from PubMed database as datasets. This dataset underwent the text pre-processing that is crucial before proceed to feature selection phase. Features selection phase is involving Information Gain and Pearson Correlation technique. Support Vector Machine classifier is used in order to evaluate and compare the effectiveness of two feature selection techniques. For this dataset, Information Gain has outperformed Pearson’s Correlation by 3.3%. This research tends to extract the meaningful features from a subset of stroke documents that can be used for various application especially in diagnose the stroke disease.
Cooperative and fresher encounter algorithm for reducing delay in MANET
Authors: Alleema Noor , Kumar D. Siva
Published: April 2019

In Mobile Ad-hoc Networks (MANET), the route discovery is the chief problem for the nodes. In this paper Cooperative and Fresher Encounter Algorithm (CFEA) for Reducing Delay in MANET is proposed. The route discovery problem has been overcome by FResher Encounter algorithm. It is a simple algorithm for discovery the routes in efficient manner in the MANET. The node has the memory of past route details that communicate with remaining nodes. The node prefers to find the intermediate node instead of finding the destination node, that intermediate node keeps the knowledge of recently encounter the destination node. Then the intermediate node communicates with the node which is encountered the destination node recently, and the process is continued until the destination is attained. The main advantage of the scheme is reducing the process time.
A compact dual band PIFA antenna for GPS and ISM BAND applications
Authors: Samir Elkilani , Abdellaoui Larbi El , Zbitou Jamal , Errkik A. , Latrach Mohamed
Published: April 2019

This work deals with desgin of  a novel  compact  Dual band PIFA Antenna structure. The proposed antenna is validated for GPS and WIFI applications. The antenna is achieved on a lossy FR4 substrate. The final size of the antenna is 100×55×13.235 mm3. The final antenna structure was optimized and validated into simulation, fabrication and test. The proposed multiband PIFA is optimized by using solts technique. The fabricated antenna is validated to cover the operating frequencies of GPS (1.535 -1.7GHz) and BLUTOOTH/WIFI (2.54-2.47GHz) bands.
On the performance of coded copper wire systems for G-fast communications
Authors: Al-Askery Ali Jaber , Hammadi Ali Mhidi
Published: April 2019

This paper aims to investigate the performance of different channel coding techniques over copper wire channels. First, Chen model is used to simulate the copper wire channel model, then the performance of LDPC coded system with DVB-S2 standard is compared to the performance of turbo coded, and convolutional coded systems over wired channels. In addition, the performance of the systems under consideration is further investigated in the presence of impulsive noise (IN) with IN cancellation technique. Matlab simulations are utilized to simulate these systems for different quadrature amplitude modulations (QAM). The results have shown that LDPC coded system with large block length have outperforms the performance of the considered coding techniques.