bluuebunny/crossref_metadata_2025 huggingface dataset:
Resolution of economic dispatch problem of the morocco network using crow search algorithm
Authors: HABACHI Rachid , Touil Achraf , Boulal Abdellah , Charkaoui Abdelkabir , Echchatbi Abdelwahed
Published: January 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. This paper proposes use of Crow Search Algorithm (CSA), for solving the economic dispatch of two electricity networks: a testing system 6 units and the morocco network the crow search algorithm (CSA) is a recently developed metaheuristic search algorithm inspired by the intelligent behavior of crows..The results obtained by CSA are compared with various results obtained in the literature. Simulation results shows that using CSA can lead to finding stable and adequate power generated that can fulfill the need of both the civil and industrial areas.
Improved model for investigating transient stability in multimachine power systems
Authors: Hamzeh Ali , Al-Omari Zakaria
Published: January 2019

The determinant factor in transient stability study of electric power systems is the behavior of synchronous generators when subjected to sudden and large disturbances. The objective of this paper is to develop a mathematical model, general algorithm, and a computer program to investigate the transient stability of multi-machine power systems. The developed mathematical model is established as a first step. The new developments lie in modeling the fault occurrence and fault clearance as well as the procedure of computing the system matrices during and after the fault through only modification of the matrix before the fault. Based on the developed mathematical model, a general algorithm was built and translated into a computer program using an object-oriented and visual language called Delphi. The algorithm adopted the Runge-Kutta method for numerical solution of differential swing equations and was programmed within the program. The developed program was validated by applying it to small sample electrical networks. The program was used to analyze the transient stability of a relatively large test network and accurate results were obtained that could be relied upon for protective relays settings and optimization of control system parameters. It was found that the developed program is an effective and rapid tool for estimating transitory stability for real power systems.
Impact of inertia weight strategies in particle swarm optimization for solving economic dispatch problem
Authors: MEZIANE Mohammed Amine , Mouloudi Youssef , Bouchiba Bousmaha , Laoufi Abdellah
Published: January 2019

Particle Swarm Optimization (PSO) is a population based stochastic optimization technique inspired by the social learning of birds or fish. Some of the appealing facts of PSO are its convenience, simplicity and easiness of implementation requiring but few parameters adjustments. Inertia Weight (ω) is one of the essential parameters in PSO, which often significantly the affects convergence and the balance between the exploration and exploitation characteristics of PSO. Since the adoption of this parameter, there have been large proposals for determining the value of Inertia Weight Strategy. In order to show the efficiency of this parameter in the Economic Dispatch problem(ED), this paper presents a comprehensive review of one or more than one recent and popular inertia weight strategies reported in the related literature. Among this five recent inertia weight four were randomly chosen for application and subject to empirical studies in this research, namely, Constant (ω), Random (ω), Global-Local Best (ω), Linearly Decreasing (ω), which are then compared in term of performance within the confines of the discussed optimization problem. Morever, the results are compared to those reported in the recent literature and data from SONELGAZ. The study results are quite encouraging showing the good applicability of PSO with adaptive inertia weight for solving economic dispatch problem.
Airline ticket reservation using NFC-based single identity
Authors: Renardi Mikhael Bagus , Basjaruddin Noor Cholis , Supriyadi Supriyadi , Kuspriyanto Kuspriyanto
Published: January 2019

Airline ticket reservations can be completed via ticket counters or online. To reduce passenger data redundancy, Single Identity (SI) may be required to input passenger data. In Indonesia, SI is utilised in identity cards using Near Field Communication (NFC), called electronic Kartu Tanda Penduduk (e-KTP). However, the use of e-KTP is not optimal yet because it is still used in the same way as the conventional one. Data input using SI can be done by tapping the e-KTP on a NFC-enabled machine, and the user is required to select the passengers’ names. The process of data input may be simplified, resulting in a higher transaction speed. This research result demonstrated that there was a slight difference of the time required between the two methods for ticket reservations. The time efficiency using SI through ticket counters was 48%, while the online reservation using SI was 45%. Further research may implement the validation methods, such as using PIN or fingerprint.
Performance evaluation of cloud service with hadoop for twitter data
Authors: Panatula Ganesh , Kumar K Sailaja , Geetha D Evangelin , Kumar T V Suresh
Published: January 2019

In the era of rapid growth of cloud computing, performance calculation of cloud service is an essential criterion to assure quality of service. Nevertheless, it is a perplexing task to effectively analyze the performance of cloud service due to the complexity of cloud resources and the diversity of Big Data applications. Hence, we propose to examine the performance of Big Data applications with Hadoop and thus to figure out the performance in cloud cluster. Hadoop is built based on MapReduce, one of the widely used programming models in Big Data. In this paper, the performance analysis of Hadoop MapReduce WordCount application for Twitter data is presented. A 4-node in-house Hadoop cluster was setup and experiment was carried out for analyzing the performance. Through this work, it was concluded that Hadoop is efficient for BigData applications with 3 or more nodes with replication factor 3. Also, it was observed that system time was relatively more compared to user time for BigData applications beyond 80GB. This experiment had also thrown certain pattern on actual data blocks used to process the WordCount application. 
Design and development of an algorithm for mining rare item sets
Authors: Sharma Sachin , Bhatia Shaveta
Published: January 2019

Frequent item set mining emphases on excavating item sets which follow frequently in a transactional database. These item sets are advantageous in professional decision making. Investigators have projected numerous processes to mine rare item sets, however it is still stimulating. In current studies, to catch rare item sets, customer demarcated single threshold value ought be fixed small adequate which outcomes in generation of enormous quantity of duplicate item sets. The rare item sets may not initiate if a high threshold value is fixed. In this study, an exertion is generated to analyse the rare items for discovery of all probable rare item sets from the transaction database. To mine rare item sets effectually, a method has been anticipated that would permit customer to identify many lowest support that imitates the items and their diverse occurrences in list. Investigational results shows that novel methodology is more righteous and vigorous than the present systems.
Enhancing the performance of distance protection relays using interactive control system
Authors: Mohamed Hassan S. , Mehanna M. , Osman El-Saied
Published: January 2019

Recently improvement of automation systems for electrical power system network became essential for increasing the realiability of power transmission during any disturbance. In a substations the setting of Distance Relays (DRs) are set manually which depends on human experience which may be led to undesirable operation. Any power transmission system may subjected to shortens and loss of adjusting its protection setting, DRs in protection systems are responsible for protected a High voltage transmission lines from short circuit, power swing, and load encroachment, A proposes automation system architecture is introduced to cover the setting and coordination of protection scheme based on DIgSILENT power factory, SIMATIC manger, and WinCC programs.
Design and analysis of PM motor with semi-circle stator design using 2D-finite element analysis
Authors: M. J Mohd Luqman , Kwang Tan Cheng , Jidin Auzani
Published: January 2019

This paper presents a basic approach to reduce an overall weight of selected PM motor. The approach is not based on normal sizing step by keeping the overall design in symmetry dimension, but by introducing semi-circle stator design. The investigation takes 12-slot/10-pole motor as a subject due to it symmetric winding disposition. Two designs are included, both having identical semi-circle stator but different in rotor configuration. Design 1 has a standard rotor design that equipped with 10-pole while Design 2 has a semi-circle rotor design following the stator design. This inherently result an even number of pole i.e. 5. From the investigation using 2D-Finite Element Analysis, an overall weight in PM motor can be theoretically reduced by having asymmetric design dimension. However, motor torque performance would deteriorate and unwanted noise may exist due to high cogging torque and high output torque ripple. A proper design procedure that includes parameter optimization and intelligent switching for optimum current excitation is required to restore the desired torque.
Securing SAAS service under cloud computing based multi-tenancy systems
Authors: Miriyala Trinathbasu , Sastry JKR
Published: January 2019

Cloud computing technologies are being used by many who need computing resources such as software, platform and infrastructure as per their business requirements in terms of provisioning and pay for the usage as per actual consumption of the services based on the SLA signed by the user and cloud service provider. Software running on a physical machine is being provided as services to the end users. For the reasons of cost economies access to software that uses a database is being provided to multiple users. The access to the software is provided either directly or through a virtual machine. The software being provided as service uses the same database for many of the users who have requisitioned for the same. As a result, there could be encroachments by the users into the data of others. There is a need to secure the data belonging to several users while all of them access the data using the same application. In this paper an efficient method is presented for securing the data processed by software which is offered as a service to multiple users either directly or through virtual machines.    
Real-virtual Monte Carlo simulation on impulse-momentum and collisions
Authors: Wartono Wartono , Hartoyo Dwi , Nilasari Nilasari , Batlolona John Rafafy
Published: January 2019

This study aims to determine the differences in scientific literacy of students who were given inquiry learning through a real-virtual Monte Carlo experiment with students who were given conventional learning. This study used quasi experimental design with pretest-posttest control group. The results showed that the ability of students who were taught by inquiry learning models through real-virtual Monte Carlo experiments had higher scientific literacy than those taught with conventional models, it also applied well to students with high and low initial abilities. The results of the average gain in scientific literacy scores also showed a higher value between students who studied with the inquiry model through a real-virtual Monte Carlo experiment with students who studied with conventional models. The novelty of this research is combining real and virtual activities become real-virtual Monte Carlo by using the inquiry learning model to improve students' scientific literacy.
Automated parking management system for identifying vehicle number plate
Authors: Singh Asha , Vaidya Prasanth
Published: January 2019

By using image processing, the Automated parking management system (APMS) to recognize the license plate number for efficient management of vehicle parking and vehicle billing. It is an independent real-time system, reduces number of people involvement in parking areas. The main aim of this system is to automated payment collection. This (APMS) system extract and recognize license plate numbers from the vehicles, then that image is being processed and used to generate an electronic bill. Generally in the parking lots heavy labor work is needed. This system used to decrease the cost of the labor and also enhance the performance of the APMS. This system is composed of vehicles license plate number extraction, character segmentation and character recognition. A proper pre-processing is done before extracting the license plate and it also generates the entry time and exit time of the vehicle and finally generates the electronic bill.
Simplification of application operations using cloud and DevOps
Authors: Premchand Anshu , Sandhya M. , Sankar Sharmila
Published: January 2019

In our experience of having worked with financial institutions for over 19 calendar years, we have seen that application development, maintenance and operations teams have a very silo-ed existence. In today's ever more fluid market, it is imperative for these teams to be very agile in their response to business needs. While development teams are trying to adopt agile and devops practices, operations and maintenance teams are sometimes forgotten in this transformation journey even though they play a very crucial role in managing customer facing systems. In this paper, we focus on application operations for their simplification, outline the post production challenges faced by the operations teams, assistance required from the development teams and need for coordination & harmony between application development and operations teams. We use the example of a financial organization where we are currently helping in simplification of application support processes using two key levers of cloud and devops adoption to highlight the path to simplification. We outline the solution levers we used, solution tenets, solution approach and considerations. We also share a target state model and regulated key functions & activities within the model as well as an interim operating model and a target operating model.
Allocation of distributed generation and capacitor banks in distribution system
Authors: Oladepo Olatunde , Rahman Hasimah Abdul
Published: January 2019

Voltage profile and power losses on the distribution system is a function of real and imaginary power loading condition. This can be effectively managed through the controlled real and reactive power flow by optimal placement of capacitor banks (CB) and distributed generators (DG). This paper presents adaptive Particle Swarm Optimization (MPSO) to efficiently tackle the problem of simultaneous allocation of DG and CB in radial distribution system to revamp voltage magnitude and reduce power losses. The modification to the conventional PSO was achieved by replacing the inertial weight equation (W) in the velocity update equation base on the particle best experience in the previous iteration. The inertial weight equation is designed to vary with respect to the iteration value in the algorithm. The proposed method was investigated on IEEE 30-bus, 33-bus and 69-bus test distribution systems. The results shows a significant improvement in the rate of convergence of APSO, improved voltage profile and loss reduction.
Convergence analysis of the unpunctured turbo trellis-coded modulation (UTTCM)
Authors: Haffane Ahmed , Hasni Abdelhafid , Khelifi Mustapha , Kadri Boufeldja
Published: January 2019

In this paper, the performance of the Unpunctured Turbo Trellis-Coded Modulation (UTTCM) over Additive White Gaussian Noise (AWGN) channel is analyzed using the non-binary extrinsic information transfer (EXIT) chart. The exchange of the extrinsic information between the decoder components is tracked, allowing the generation of an EXIT chart, which is a powerful tool for analyzing the convergence behavior of iterative decoding and prediction of convergence position. The Simulation results are compared with the turbo cliff positions on the BER curves.
The use of enhancement material in grounding system: a review
Authors: Azmi Aizat , Ahmad Noor Azlinda , Yiew Lau Kwan , Abdul-Malek Z.
Published: January 2019

This paper reviews the improvement of grounding impedance in grounding system by means of enhancement materials. Various enhancement materials for the past 20 years will be reviewed according to their advantages and disadvantages, followed by a focus on the technique for proper measurement set up based on the standard. In addition to that, the condition of enhancement materials under high voltage exposure is reviewed. Many researchers claim that soil resistivity, moisture content, and surrounding environment are the most contributed to the grounding system specifically on the grounding impedance. Hence, the utilization of enhancement materials is essential in order to maintain the grounding system performance.
Simplified five-level voltage source inverter with level-phase-shifted carriers based modulation technique
Authors: Suroso Suroso , Nugroho Daru Tri , Azis Abdullah Nur , Noguchi Toshihiko
Published: January 2019

A simplified circuit topology of the five-level pulse width modulation (PWM) inverter for DC-AC power conversion with no-isolated DC voltage sources and reduced switching device number is presented in this paper. The inverter circuit is based on the three-level H-bridge inverter configuration. The developed five-level inverter needs only five controlled power switches and four isolated gate drive circuits. Furthermore, the proposed topology does not require bidirectional power semiconductor controlled switches, hence a conventional discrete power MOSFETs or IGBTs can be used to build the inverter circuits. To obtain a better quality output voltage waveform, the level-phase-shifted carriers based sinusoidal pulse width modulation control was applied to produce a five-level PWM voltage waveform. The proposed inverter circuit was examined by using computer simulation with Power PSIM software. The basic principle operation of the inverter circuit was verified experimentally in laboratory using two non-isolated DC voltage sources as the inputs of the inverter’s prototype circuit. Some analysis of inverter’s output waveforms are provided and discussed.
An angle speed and thrust relationship of the rotor system in the quadcopter aircraft
Authors: Al Al , Dewi Arfita Yuana , Bachtiar Antonov , Harinita Dwi
Published: January 2019

Utilizing Quadcopter were still many obstacles such as; plane easy to fall; the battery is not durable; vulnerable to weather conditions and others. The research and development has grown to improve aircraft facilities and capabilities. Many parameters related to aircraft lift capability factors; fly long; flying high; type of motor; the type of propeller: including the sensors and control systems used. This study was to find the relationship between changes in the BLDC motor voltage source to the rotor angle velocity (ω); rotor speed to rotor lift (Ft);  wind speed to rotor lift; push the following rotor (Ct). Empirical testing was conducted in the laboratory to find the relationship of these parameters. The results data show that; the lift power generated with rotational speed was not proportional, non linearity occurs when the rotor was released from the self and starts pulling the strain gauge when the rotation speed reaches around 65 rps. Once the rotation speed of the rotor is able to reach up to 1.5 Newton lift then the thrust rising trend sharply increasing toincreasing of the rotor speed. A motor hade 1200 KV and blade with a radius of 0.12 m, then obtained thrust (Ct) of 1.732.
Wind direction sensor based on thermal anemometer for olfactory mobile robot
Authors: Widyantara Helmy , Rivai Muhammad , Purwanto Djoko
Published: January 2019

A wind direction sensor has been implemented for many applications, such as navigation, weather, and air pollution monitoring. In an odor tracking system, the wind plays the important role to carry gas from its source. Therefore, the precise, low-cost, and effective wind direction sensor is required to trace the gas source. In this study, a new design of wind direction sensor has been developed using thermal anemometer principle with the main component of the positive temperature coefficient thermistor. Three anemometers each of which has different directions are used as inputs for the neural network to determine the direction of the wind automatically.The experimental results show that the wind sensor system is able to detect twelve wind directions. A mobile robot equipped with this sensor system can navigate to a wind source in the open air with a success rate of 80%.This system is expected to increase the success rate of the mobile robot in searching for dangerous leaking gas in the open air.
Robust speaker verification in band-localized noise conditions
Authors: Abid Noor Ali O.
Published: January 2019

This research paper presents a robust method for speaker verification in noisy environments. The noise is assumed to contaminate certain parts of the voice’s frequency spectrum. Therefore, the verification method is based on splitting the noisy speech into subsidiary bands then using a threshold to sense the existence of noise in a specific part of the spectrum, hence activating an adaptive filter in that part to track changes in noise’s characteristics and remove it. The decomposition is achieved using low complexity quadrature mirror filters QMF in three levels thus achieving four bands in a non-uniform that resembles human hearing perceptual. Speaker recognition is based on vector quantization VQ or template matching technique. Features are extracted from speaker’s voice using the normalized power in a similar way to the Mel-frequency cepstral coefficients. The performance of the proposed system is evaluated using 60 speakers subjected to five levels of signal to noise ratio SNR using total success rate TSR, false acceptance rate FAR, false rejection rate FRR and equal error rate. The proposed method showed higher recognition accuracy than existing methods in severe noise conditions.
Wireless water quality monitoring system for high density aquaculture application
Authors: Saparudin F. A. , Chee T. C. , Ghafar A. S. Ab , Majid H. A. , Katiran N.
Published: January 2019

Water quality is one of the major factors that greatly affects growth and mortality rate of aquatic livestock especially in high density aquaculture system.  Conventional method requires fish farmer to perform manual water quality test and record on multiple fish tanks in regular basis. This process is meticulous, and may affect aquatic livestock that needs close and immediate attention. In this paper, water quality monitoring system for the high density aquaculture environment is proposed. The monitoring system is composed of multiple sensor nodes and sensor/server node hybrid, which used to collect and manage the water quality parameter data of multiple tanks. The sensor nodes collect and store the water quality parameters in local database and transmit them to the server node through a wireless communication. The server node is used for data analysis, processing and allow public access via web browser through various Wi-Fi enabled smart devices. This paper presents a proof-of concept of clustered wireless monitoring system focused on the use of multiple sensor nodes to determine the water parameter in real time. This system is cost effective, quickly deployable, and user-friendly with wireless capabilities.
A dynamic K-means clustering for data mining
Authors: Hossain Md. Zakir , Akhtar Md.Nasim , Ahmad R.B. , Rahman Mostafijur
Published: January 2019

Data mining is the process of finding structure of data from large data sets. With this process, the decision makers can make a particular decision for further development of the real-world problems. Several data clusteringtechniques are used in data mining for finding a specific pattern of data. The K-means method isone of the familiar clustering techniques for clustering large data sets.  The K-means clustering method partitions the data set based on the assumption that the number of clusters are fixed.The main problem of this method is that if the number of clusters is to be chosen small then there is a higher probability of adding dissimilar items into the same group. On the other hand, if the number of clusters is chosen to be high, then there is a higher chance of adding similar items in the different groups. In this paper, we address this issue by proposing a new K-Means clustering algorithm. The proposed method performs data clustering dynamically. The proposed method initially calculates a threshold value as a centroid of K-Means and based on this value the number of clusters are formed. At each iteration of K-Means, if the Euclidian distance between two points is less than or equal to the threshold value, then these two data points will be in the same group. Otherwise, the proposed method will create a new cluster with the dissimilar data point. The results show that the proposed method outperforms the original K-Means method.
User selection protocol in DF cooperative networks with hybrid TSR-PSR protocol based full-duplex energy harvesting over rayleigh fading channel: system performance analysis
Authors: Tin Phu Tran , Vu Le Anh , Nguyen Tan N. , Nguyen Thanh-Long
Published: January 2019

Cooperative communication has been recently proposed in wireless communication systems for exploring the inherent spatial diversity in relay channels. In this work, we investigate the system performance of the energy harvesting full-duplex (FD) decode-and-forward (DF) hybrid time switching-power splitting relaying TSR-PSR (TPSR) protocol relaying network. In the selection scheme, the best user selection protocol is proposed and investigated. Mainly we derive the closed-form expression for the outage probability, system throughput and the symbol error rate (SER) of the system. Numerical results are also presented by the Monte Carlo simulation to validate the theoretical analysis in connection with the all possible parameters in the comparison between TSPR, TSR and PSR cases. The research results show that TPSR case is better than the others in term of outage probability and SER.
Performance evaluation of flexible cross correlation (FCC) OCDMA code based on radio over fiber (RoF) simulation system
Authors: Ibrahim Z. , Rashidi C.B.M. , Aljunaid S.A. , Rahman A.K. , Anuar M.S.
Published: January 2019

This paper investigates the performance of an elegance code set algorithm known as Flexible Cross Correlation (FCC) code to be run into a simulation test of proposed RoF system. Executing OCDMA Code into RoF framework is seen as a promising technique for enhancing spectral efficiency and meanwhile enhanced the length of fiber optic cable and data bit rate execution while reduce the passive equipment device. This code can efficaciously reduce the results of phase-induced intensity noise (PIIN), it has the multiple access interference (MAI) cancellation belongs to RoF system and at the same time simple and easy within the code construction. Bit error rate (BER) performance is assessed for this proposed simulation system. The evaluation made based on the performance of fiber length, data bit rate, related with Bit Error Rate (BER) and also the complexity of the system. The extensive simulation results reveal FCC code possibly will accomplish sufficiently up to 51 km at BER 10-9 for data rate 155 Mbps as matched to 622 Mbps with exponentially increases at BER 10-12 error floor and it is fit for short haul networking such as FTTH and local area network (LAN).
Evolution of H-shaped dielectric resonator antenna for 5G applications
Authors: Ambia S. Z. N. Zool , Jamaluddin M. H. , Kamarudin M.R. , Nasir J. , Selvaraju R.R.
Published: January 2019

In this paper, an H-shaped Dielectric Resonator Antenna (DRA) with a Microstrip Slot Aperture (MSA) is presented and investigated at 26 GHz. In order to widen the bandwidth operation, the slot aperture feeding technique is applied. The designed DRA with relative permittivity, εr of 10 is mounted on a Duroid substrate with a relative permittivity, εr of 2.2, loss tangent of 0.0009 and a thickness of 0.254mm. The proposed antenna with overall size of 20 x 20 x 5.27 mm3 achieves good impedance matching, gain of 7.61 dB and good radiation patterns. An impedance bandwidth of 21.44%, covering the frequency range from 24.72 GHz to 30.62 GHz made the antenna has potential for millimeter wave and 5G applications.
Performance analysis of spectral/spatial of OCDMA system using 2D hybrid ZCC/MD code
Authors: Matem Rima. , Aljunid S. A. , Junita M. N. , Rashidi C.B.M , Aqrab Israa Shihab
Published: January 2019

This paper proposes a new spectral/spatial code for Spectral Amplitude Coding in Optical Coding Division Multiple Access (SAC-OCDMA) called two-Dimensional hybrid ZCC/MD code. The new code combines two of the one –dimensional codes which are Zero Cross Correlation (1D ZCC) and Multi-Diagonal code (1D MD). Moreover, it produces a zero cross correlation property for each code. The main goal of this proposed code is to mitigate Phase Induced Intensity Noise and eliminate Multiple Access Interference (MAI). This proposed code can provide a better performance comparing to other codes as 2D FCC/MDW and 2D DPDC according to the obtained numerical analysis.
Performance evaluation of arithmetic coding data compression for internet of things applications
Authors: Khairi Nor Asilah , Jambek Asral Bahari , Ismail Rizalafande Che
Published: January 2019

Wireless Sensor Network (WSN) is known for its autonomous sensors, where it has been found to be useful during the development of Internet of Things (IoT) devices. However, WSN is also known for its limited energy supply and memory space, as it carries small-sized batteries and memory space. Hence, a data compression approach has been introduced in this paper with the purpose of solving this particular issue. This paper focused on the performance of the Arithmetic Coding algorithm. Temperature (Temp), Sea-Level Pressure (Pressure), stride interval (Stride), and heart rate (BPM) were chosen as the dataset in this project. Based on the results, the compression ratio of Temp, Pressure, Stride, and BPM were 0.428, 0.255, 0.217, and 0.159 respectively. From this analysis, BPM produced the best compression ratio. Undeniably, the Arithmetic Coding algorithm is one of the best methods to compress real-world datasets. Hence, by using this approach, it can reduce the usage of energy and memory space.<table class="MsoTableGrid" style="width: 444.85pt; border-collapse: collapse; border: none; mso-border-alt: solid windowtext .5pt; mso-yfti-tbllook: 1184; mso-padding-alt: 0in 5.4pt 0in 5.4pt;" width="593" border="1" cellspacing="0" cellpadding="0">
Wireless Sensor Network (WSN) is known for its autonomous sensors, where it has been found to be useful during the development of Internet of Things (IoT) devices. However, WSN is also known for its limited energy supply and memory space, as it carries small-sized batteries and memory space. Hence, a data compression approach has been introduced in this paper with the purpose of solving this particular issue. This paper focused on the performance of the Arithmetic Coding algorithm. Temperature (Temp), Sea-Level Pressure (Pressure), stride interval (Stride), and heart rate (BPM) were chosen as the dataset in this project. Based on the results, the compression ratio of Temp, Pressure, Stride, and BPM were 0.428, 0.255, 0.217, and 0.159 respectively. From this analysis, BPM produced the best compression ratio. Undeniably, the Arithmetic Coding algorithm is one of the best methods to compress real-world datasets. Hence, by using this approach, it can reduce the usage of energy and memory space.
Handwritten tifinagh character recognition using simple geometric shapes and graphs
Authors: Ouadid Youssef , Elbalaoui Abderrahmane , Boutaounte Mehdi , Fakir Mohamed , Minaoui Brahim
Published: January 2019

In this paper, a graph based handwritten Tifinagh character recognition system is presented. In preprocessing Zhang Suen algorithm is enhanced. In features extraction, a novel key point extraction algorithm is presented. Images are then represented by adjacency matrices defining graphs where nodes represent feature points extracted by a novel algorithm. These graphs are classified using a graph matching method. Experimental results are obtained using two databases to test the effectiveness. The system shows good results in terms of recognition rate.
An improved fitness function for automated cryptanalysis using genetic algorithm
Authors: Forhad Md. Shafiul Alam , Hossain Md. Sabir , Rahman Mohammad Obaidur , Rahaman Md. Mostafizur , Haque Md. Mokammel , Patwary Muhammad Kamrul Hossain
Published: January 2019

Genetic Algorithm (GA) is a popular desire for the researchers for creating an automated cryptanalysis system. GA strategy is useful for many problems. Genetic Algorithms try to solve problems by using genetic processes. Different techniques for deciding on fitness function relying on the ciphers have proposed by different researchers. The most necessary component is to set such a fitness function that can evaluate different types of ciphers on the identical scale. In this paper, we have proposed a combined fitness function that is valid for great sorts of ciphers. We use GA to select the fitness function. We have bought the higher result after imposing our proposed method.
Analysis theorem of unique common fixed point for four maps based on partial –b– metric spaces
Authors: Hasan Ban , Abbas Hayder Abdulameer
Published: January 2019

In this paper, An important definitions are to be used to prove the existence of a common fixed point theorem for four mappings incomplete,  partial – b – metric spaces, as well as prove a unique common fixed point by assuming another point and getting that, these points are finally equal. We presented an example thus enhancing us the outcome.
Multimodal verge for scale and pose variant real time face tracking and recognition
Authors: Govindaraj Ramkumar , Logashanmugam E.
Published: January 2019

In recent times face tracking and face recognition have turned out to be increasingly dynamic research field in image processing. This work proposed the framework DEtecting Contiguous Outliers in the LOw-rank Representation for face tracking, in this algorithm the background is assessed by a low-rank network and foreground articles can be distinguished as anomalies. This is suitable for non-rigid foreground motion and moving camera. The face of a foreground person is caught from the frame and then it is contrasted and the speculated pictures stored in the dataset. Here we used Viola-Jones algorithm for face recognition. This approach outperforms the traditional algorithms on multimodal video methodologies and it works adequately on extensive variety of security and surveillance purposes. Results on the continuous demonstrate that the proposed calculation can correctly obtain facial features points. The algorithm is relegate on the continuous camera input and under ongoing ecological conditions.
Black hole attack behavioral analysis general network scalability
Authors: Al Dulaimi Layth A. Khalil , Ahmad R. Badlishah , Yaakob Naimah , Yusoff Mohd Hafiz , Elshaikh Mohamed
Published: January 2019

A mobile ad hoc network (MANET) is a frameworkless system of different mobile devices known for its self-arranging conduct. MANETs can convey over moderately data transfer capacity compelled routing connections. In a blackhole assault, a malicious node falsely advertises the shortest path to the destination node, intending to disrupt communication. Our objective was to review the impact of a blackhole assault on networks. To accomplish this, we simulated MANET situations, which include the blackhole node, using the OMNET++ simulator to demonstrate the effects of a single blackhole attack and multiple blackhole attacks on MANET performance have examined for networks. We analysed MANET performance under blackhole assaults through the use of performance grids.<table class="MsoTableGrid" style="width: 444.85pt; border-collapse: collapse; border: none; mso-border-alt: solid windowtext .5pt; mso-yfti-tbllook: 1184; mso-padding-alt: 0in 5.4pt 0in 5.4pt;" width="593" border="1" cellspacing="0" cellpadding="0">
 A mobile ad hoc network (MANET) is a frameworkless system of different mobile devices known for its self-arranging conduct. MANETs can convey over moderately data transfer capacity compelled routing connections. In a blackhole assault, a malicious node falsely advertises the shortest path to the destination node, intending to disrupt communication. Our objective was to review the impact of a blackhole assault on networks. To accomplish this, we simulated MANET situations, which include the blackhole node, using the OMNET++ simulator to demonstrate the effects of a single blackhole attack and multiple blackhole attacks on MANET performance have examined for networks. We analysed MANET performance under blackhole assaults through the use of performance grids.

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Impact of clustering in AODV routing protocol for wireless body area network in remote health monitoring system
Authors: Abdullah Wan Aida Nadia Wan , Yaakob Naimah , Ahmad R. Badlishah , Elobaid Mohamed Elshaikh , Yah Siti Asilah
Published: January 2019

Proper selection of routing protocol in transmitting and receiving medical data in Wireless Body Area Network (WBAN) is one of the approaches that would help in ensuring high network performances.  However, a continuous monitoring of health status through sensing of various vital body signals by multiple biosensors could produce a bulk of medical data and lead to the increase of network traffic. Occurrence of high traffic could result to network’s congestion which have high tendency to loss some of important (critical) data and cause longer delay that would lead to false diagnosis of diseases. In order to analyze and validate this issue, Ad-Hoc On Demand Distance Vector (AODV) which is known as reactive routing protocol is evaluated in WBAN scenario through varying number of nodes and clusters. The presence of clustering helps in reducing the burden of the sink nodes in handling high traffics. The network’s performances of this protocol are measured in terms of end to end delay, percentage packet loss, throughput and energy consumption using Network Simulator (NS-2). Based on the experimental results, the presence of cluster helps in improving network performances by achieving reduction in delay, packet loss and energy consumption. However, low throughput is achieved as number of clusters are increase due to low duty cycle of the nodes.
Design of compact multi-mode microstrip resonator filters for dual-band application
Authors: Rosli Nurshamimi , Akhir Siti Aminah Md , Ibrahim Siti Zuraidah , Hashim Nur Baya Mohd , Khalid Nurehansafwanah
Published: January 2019

This paper presents the design of compact multi-mode microstrip resonator filters for dual-band application. The design is simulated using Advanced Design System (ADS) 2016 software. The benefit of the proposed filter is found to have a dual-mode frequency, where the odd-mode resonant frequency is the fundamental frequency represented by the length of the resonator while the even-mode resonant frequency is represented by the length of the stub. To validate the design, a prototype is fabricated on Rogers RO4003C substrate and measured using PNA Network Analyzer.
Design and development of RF power detector for microwave application
Authors: Ali Mohamoud Mouse , Ibrahim Siti Zuraidah , Adam Ismahayati , Khalid Nurehansafwanah
Published: January 2019

This paper presents the design and development of the RF power detector for microwave applications that is operating at 2.4GHz using microstrip. The design of diode detector circuit is simulated using Keysight ADS software tool. The design of the diode detector includes the matching network, Schottky diode and the low pass filter. The paper also presents the fabrication and measurement of the designed circuit.
Feature analysis for stage identification of Plasmodium vivax based on digital microscopic image
Authors: Nugroho Hanung Adi , Maysanjaya I Md. Dendi , Setiawan Noor Akhmad , Murhandarwati E. Elsa Herdiana , Oktoeberza Widhia K.Z
Published: January 2019

Plasmodium parasite is identified to confirm malaria disease.  Paramedics need to observe the presence of this parasite prepared on thick and thin blood films under microscope.  However, false identification still occurs which is caused by human factor during the examination.  Thus, malaria identification based on digital image processing has been widely developed to overcome the error possibility.  This paper proposes a scheme to identify and classify the stages of Plasmodium vivax parasite on digital microscopic image of thin blood films based on feature analysis.  Shape and texture features are extracted from segmented parasite objects.   Feature selection based on wrapper method is then conducted to obtain relevant features which may contribute in improving the classification result.  The classification process is conducted based on Naïve Bayes classifier.  The performance of proposed method is evaluated using 73 digital microscopic images of P.vivax parasite on thin blood films comprising of 29 trophozoites, 10 schizonts and 34 gametocytes stages.  By using six selected features including perimeter, dispersion, mean of intensity, ASM, contrast GLCM and entropy GLCM, the proposed scheme achieves the best classification rate with the accuracy, sensitivity and specificity of 97.29%, 97.30% and 97.30%, respectively.  This indicates that the proposed scheme has a potential to be implemented in the development of a computerised aided malaria diagnosis system for assisting the paramedics.
Dielectric properties characterization of the rice and rice weevil for microwave heating treatment
Authors: Ibrahim Maliki , Abd Rahim Rosemizi , Mohd Nordin Junita , Abdul Nyzam Siti Zulaika , Amira Amatkhri Norzakiah
Published: January 2019

This paper presents the dielectric properties characterization of the rice and rice weevil for microwave heating disinfestation treatment application. Infestations of insects in stored grain have become a major threat to food supply globally. It contributes to damage to the stored grain and had caused economic losses. The current method to control the infestation which is by using chemical fumigation could give harm to human health and cause environmental pollution. The ability of microwave energy to kill the insects using dielectric heating technique has a high potential as an alternative method to control the infestation of the insect. Knowledge of dielectric properties of the insects is important to understand the interactions of the insect with electromagnetic fields. Hence, this paper presents the evaluation of the dielectric constant, and dielectric loss factor, of the insects and grain using open- ended coaxial probe method. The dielectric properties of the rice weevil, S. Oryzae and rice are measured using an open-ended dielectric probe. Found that the dielectric constant, loss factor and loss tangent for both samples are inversely proportional to the frequency.  Knowledge of the moisture content and temperature of the insects and rice is very important to characterize the dielectric properties for future development of microwave heating disinfestation treatment effectively.
A study of reflection phase of reflectarray antennas with high loss organic substrates
Authors: Ismail M. Y. , Malik H. I , Masrol S. R. , Adnan Sharmiza
Published: January 2019

This paper presents an analysis of reflection phase of reflectarray antenna based on high loss organic substrate material. Paper substrate material derived from recycled materials was characterized for dielectric material properties. The material shows excellent dielectric material properties with permittivity of 1.63 and loss tangent of 0.048. Effect of substrate height variation over the reflection phase has been discussed. Full wave analysis of the simulated model depicts that the reduction in substrate height after a certain point results in reflection phase distortion of reflectarray element. Validation of the results has been done by simulation, fabrication and scattering parameters measurements of a rectangular patch element on proposed substrate material. The results show a broadband frequency response of 355 MHz and a phase range of 301º at a phase gradient of 0.14 º/MHz.
AI-based targeted advertising system
Authors: Jia Yu Tew , Poo Lee Chin , Ming Lim Kian , Abdul Razak Siti Fatimah
Published: January 2019

The most common technology used in targeted advertising is facial recognition and vehicle recognition. Even though there are existing systems serving for the targeting purposes, most propose limited functionalities and the system performance is normally unknown. This paper presents an intelligent targeted advertising system with multiple functionalities, namely facial recognition for gender and age, vehicle recognition, and multiple object detection. The main purpose is to improve the effectiveness of outdoor advertising through biometrics approaches and machine learning technology. Machine learning algorithms are implemented for higher recognition accuracy and hence achieved better targeted advertising effect.
Detection of attention and meditation state-based brainwave system to control prosthetic arm
Authors: Abdul Rahman Ahmad Danial , Hussin Hanim
Published: January 2019

Neurotechnology has led to the development of Brain-Computer Interfaces (BCIs) or Brain-Machine Interfaces (BMIs) which are devices that use brain transmission signal to operate. Electroencephalography (EEG) is one of the recent methods that could retrieve transmission signal of the brain from scalp safely. This paper will discuss the development of Neuroprosthetics limb by using patients’ attention and meditation level to produce movement. The main objective of this project is to restore mobility of patients that have suffered from motor disabilities. This project is carried out by interfacing the data acquisition device which is NeuroSky Mindwaves Headset with the microcontroller to move the prosthetic arm as the output. Arduino Nano microcontroller acts as data processing and a controller to the arm as the output. The prosthetic arm is designed by using SOLIDWORKS software and fabricated by 3D printed. From this project, the user will be able to control the prosthetic arm ranging from rotating the hand to bending the fingers creating a grasp and release gesture.