bluuebunny/crossref_metadata_2025 huggingface dataset:
A New Method for Ball Tracking Based on α-β, Linear Kalman and Extended Kalman Filters Via Bubble Sort Algorithm
Authors: Nenavath Hathiram , Jatoth Ravi Kumar
Published: January 2019

Object tracking is one of the challenging issues in computer vision and video processing, which has several potential applications. In this paper, initially, a moving object is selected by frame differencing method and extracted the object by segment thresholding. The bubble sort algorithm (BSA) arranges the regions (large to small) to make sure that there is at least one big region (object) in object detection process. To track the object, a motion model is constructed to set the system models of Alpha-Beta (α-β) filter, Linear Kalman filter (LKF) and Extended Kalman filter (EKF). Many experiments have been conducted on balls with different sizes in image sequences and compared their tracking performance in normal light and bad light conditions. The parameters obtained are the root mean square error (RMSE), absolute error (AE), object tracking error (OTE), Tracking detection rate (TDR), and peak signal-to-noise ratio (PSNR) and they are compared to find the algorithm that performs the best for two conditions.
Acoustical Comparison between /u/ and /u:/ Arabic Vowels for Non-Native Speakers
Authors: Almisreb Ali Abd , Tahir Nooritawati Md , Abidin Ahmad Farid , Din Norashidah Md
Published: January 2019

The articulation of Arabic phonemes is essential for the Malay community since Arabic language is mandatory to perform worship. Hence, in this paper, an acoustical analysis of Arabic phonemes for vowels /u/ and /u:/ is discussed based on tokens pronounced by Malay speakers. The experimental results showed that the Malay speakers are inclined to utter these Arabic phonemes similar to the native speakers and it was also found from the analysis that the vowel /u/ and /u: was articulated as high-back vowels. Conversely, the vowel /u/ was located lower than /u:/ as in the vowel-space. Alternatively results also showed that /u/ and /u:/  is higher than the other vowels specifically /a/ and /a:/. In addition, the statistical analysis showed that the formant frequencies of both short and long dummah for formant frequency F1, F2 and F3 have more variation in terms of /u/ as compare to /u:/. In contrast formant frequency F4 and F5 are more diversity in terms of /u:/.
Hybrid Artificial Neural Network with Meta-heuristics for Grid-Connected Photovoltaic System Output Prediction
Authors: Nordin Norfarizani , Sulaiman Shahril Irwan , Omar Ahmad Maliki
Published: January 2019

This paper presents the performance evaluation of hybrid Artificial Neural Network (ANN) model with selected meta-heuristics for predicting the AC output power fof a Grid-Connected Photovoltaic (GCPV). The ANN has been hybridized with three meta-heuristics, i.e. Cuckoo Search Algorithm (CSA), Evolutionary Programming (EP) and Firefly Algorithm (FA) separately. These meta-heuristics were used to optimize the number of neurons, learning rate and momentum rate such that the Root Mean Square Error (RMSE) of the prediction was minimized during the ANN training process. The results showed that CSA had outperformed EP and FA in producing the lowest RMSE. Later, Mutated Cuckoo Search Algorithm (MCSA) was introduced by incorporating Gaussian mutation operator in the conventional CSA. Further investigation showed that MSCA performed better prediction when compared with the conventional CSA in terms of RMSE and computation time.
Multi objective Adaptive Tumbling Bacterial Foraging in VAR Solutions for Sustainable Power System Operation
Authors: Hassan E. E. , Rahman T. K. A. , Zakaria Z. , Bahaman N. , Jifri M. H.
Published: January 2019

The application of the developed optimization technique Multi Objective Adaptive Tumbling Bacterial Foraging (MOATBFO) was introduced to solve the multi objective Reactive Power Planning (RPP) problems. The objective of conventional RPP problems is to minimize the total power losses in a system. However, in this study, the aspect of security was also taken into consideration in terms of voltage stability condition in solving RPP problems. Hence, the RPP problem is now termed as security constrained RPP (SCRPP) and generalized into a multi objective function via weighted sum method that labeled as MOSCRPP. The best minimum voltage solution for the network is aimed in ensuring the sustainable power system operation.  In order to verify the performance of the proposed technique were used for MOSCRPP in the IEEE 57 bus system thus the comprehensive analyses were also conducted with other multi objective Meta heuristic Evolutionary Programming (Meta-EP). From the results it shows that the multi objective ATBFO optimization is able to give better overall improvement in the objective functions for SCRPP problems.
Symmetrical and Asymmetrical Multilevel Inverter Structures with Reduced Number of Switching Devices
Authors: Yatim M. H. , Ponniran A. , Zaini M. A. , Shaili M. S. , Ngamidun N. A. S. , Kasiran A.N. , Bakar A. A. , Jumadril J.N.
Published: January 2019

The purpose of this study is to analyze the operation and design of symmetrical and asymmetrical multilevel inverter structures with reduced number of switching devices. In this study, the term of conventional inverter is defined as a single cascaded inverter. Specifically, the inverter operates in three complete loops and only produces 2-level and 3-level of output voltages. Usually, cascaded structure suffers from the high total harmonic distortion. Thus, by considering multilevel structure of inverter, low total harmonic distortion reduction and voltage stress reduction on switching devices can be archived. Sinusoidal pulse width modulation and modified square pulse width modulation are used as modulation techniques in switching schemes of the designed multilevel inverters. The findings indicate that, the designed multilevel structure cause low total harmonics distortion at the output voltage. Furthermore, the asymmetrical structure is producing the same output voltage levels with reduced number of switching devices compared to the symmetrical structure is experimentally confirmed. The findings show that the total harmonic distortion for 7-level (symmetrical) and 9-level (asymmetrical) are 16.45% and 15.22%, respectively.
Sustainable Environmental Economic Dispatch Optimization with Hybrid Metaheuristic Modification
Authors: Ridzuan M. R. M. , Hassan E. E. , Abdullah A. R. , Kadir A. F. A.
Published: January 2019

Today’s Economic Dispatch (ED) solutions are featured with environmental obligations. Hence, the significant objective functions contribute to cost minimization, lower emission and less total system losses. As an alternative, New Meta Heuristic Evolutionary Programming (NMEP) technique was proposed to optimize the individual ED problem categorized as Single Objective Environmental Economic Dispatch (SOEELD), developed from an integration of original Meta Heuristic Evolutionary Programming (Meta-EP) with Artificial Immune System (AIS) with new arrangement in the mutation and cloning processes. The comparative analysis was conducted between the original Meta-EP and classical method of Hadi Saadat to verify the performance of NMEP method. Each particular objective function identified the best possible outcomes through the NMEP method. The simulations were conducted using MATLAB programming which tested both standard IEEE 26 and 57 bus systems.
Soil Moisture Monitoring Using Field Programmable Gate Array
Authors: Husni Muhammed Ihsan , Hussein Mohammed Kareem , Zainal Mohd Shamian Bin , Hamzah Anuar Bin , Nor Danial Bin Md , Poad Hazwaj Bin Mhd
Published: January 2019

This paper presents a solution for remote monitoring and sensing of different agricultural parameters that effect the plant growth and productivity. Hardware descriptive language has been used for the implementation of proposed topology on Field Programmable Gate Arrays. The hardware used for this purpose is an Altera board. The simulated results take into consideration the environmental factors such as the humidity, soil moisture content and the temperature. The proposed system continuously monitors the environmental changes for any updates. The system also controls a water motor that is turned on as the system senses the reduction in moisture content. The system implementation on hard wave level show promising results and have been discussed in detailed.
Evolution of Learning Environment: A Review of Ubiquitous Learning Paradigm Characteristics
Authors: Tahir Zurainee Mohd , Haron Haryani , Singh Jasber Kaur Gian
Published: January 2019

This paper performed literature analysis for evolution of learning environment focusing on a new learning paradigm which is known as ubiquitous learning environment. This paper also intend at providing specific information about ubiquitous learning concepts and the criteria that needed in the future research.  It begins by briefly describing the evolution of learning environment with the comparison for each of the learning paradigms. Finally, the definition of ubiquitous learning and the comparison of characteristics in ubiquitous learning paradigm are also compared and discussed to further enhance the understanding of ubiquitous learning concept. As a conclusion these paper providing a basis foundation for novice researcher that interested in exploring ubiquitous learning environment area.
Daily Harvested Energy of Cadmium Telluride Thin Film Photovoltaic
Authors: Sabri Yasmeen H. , Hasan W. Z. Wan. , Shafie S. , Radzi M. A. M. , Sabry A. H.
Published: January 2019

The power generated by solar photovoltaic (PV) is highly affected by the weather environment. Thin-Film solar module of cadmium telluride (CdTe) is one of the Semi-transparent PV (STPV) that can be employed in a wide application range as a means to sunlight permeability while supplying solar electrical energy with some shading which also preferable in hot areas. The system behavior and the forecast of a STPV harvested energy requires an accurate and reliable discribtion for the power pattern rate during the day time. This research presents a real-time daily measurements for CdTe PV modules that serve the system design, prediction, and modeling. Multilayer and single installation categories are configured to be experimentally tested at different weather conditions (temperature and irradiance). The measurements were conducted at UPM University, Serdang, Malaysia, where a 6 different modules are expreinced. A wireless monitoring system with high sampling frequency employed for this purose. The results show an efficiency of 2.51 as a maximum  in cloudy day conditions, while the harvested daily energy show that a multi-layer configuration may only be effective when the transparency is high. This new generation of PV module is similar to that for Silicon-based PV but it has threshold value to start power generating and promises for efficient sustainable building materials
Lightning Effect on Scaled Protected and un-Protected Building Structures and the Air Terminal Bypasses
Authors: Ullah Irshad , Baharom MNR , Ahmad H. , Luqman H.M. , Zainal Zainab
Published: January 2019

Lightning strikes affect the building structures by producing high electric field on the surface and around the building structure. Lightning air terminal is a traditional enemy of the thunder storm as it captures the lightning flashes. Effect of lightning flash on the building structure when the lightning air terminal was not installed and when it was installed on different building structure was studied in this paper.  Similarly most of the time Lightning Air Terminal (LAT) bypasses take palce on different building structures and thus a lot of building structures get damage. The phenomenon of bypasses was also studied in this paper. When thunder storm strikes a building the electric field effect is propagated throughout the building surface and it damages the entire building. When the air terminal is places on the corners/edges it captures the lightning flashes on certain points and discharges it into the ground and the building remains safe. This phenomenon was studied in detail in this paper and it was proved that by installing the air terminal the remaining building structure was safe and the electric field intensity was concentrated on the installed air terminal rather than the whole roof top and the rest of the building.
Gbest Artificial Bee Colony for Non-convex Optimal Economic Dispatch in Power Generation
Authors: Abdullah M. N. , Manan A. F. A. , Jamian J. J. , Jumaat S. A. , Radzi N. H.
Published: January 2019

Non-convex Optimal Economic Dispatch (OED) problem is a complex optimization problem in power system operation that must be optimized economically to meet the power demand and system constraints. The non-convex OED is due to the generator characteristic such as prohibited operation zones, valve point effects (VPE) or multiple fuel options. This paper proposes a Gbest Artificial Bee Colony (GABC) algorithm based on global best particle (gbest) guided of Particle Swarm Optimization (PSO) in Artificial bee colony (ABC) algorithm for solving non-convex OED with VPE. In order to investigate the effectiveness and performance of GABC algorithm, the IEEE 14-bus 5 unit generators and IEEE 30-bus 6 unit generators test systems are considered. The comparison of optimal solution, convergence characteristic and robustness are also highlighted to reveal the advantages of GABC. Moreover, the optimal results obtained by proposed GABC are compared with other reported results of meta-heuristic algorithms. It found that the GABC capable to obtain lowest cost as compared to others. Thus, it has great potential to be implemented in  different types of power system optimization problem.
Intelligent Lighting Control System for Energy Savings in Office Building
Authors: Wagiman Khairul Rijal , Abdullah Mohd Noor
Published: January 2019

Lighting system is a crucial sub-system and consumes substantial electricity energy in the buildings. This paper proposes an intelligent lighting control system using artificial neural network (ANN). The minimization of dimming levels of luminaires has been considered as an objective function of the controller. Moreover, the light sensor field of view is also taken into consideration in objective function formulation. The proposed ANN controller has been tested on an actual office room of the Department of Mechanical Technology, Institute of Industrial Training, Selandar, Melaka, Malaysia. The simulation has been carried out using DIALux simulation lighting software. Based on the results, the proposed controller showed great performance in terms of adaptive less light sensor data and achieving dimming levels target that complies the European Standard EN12464-1. Furthermore, it can save energy up to 34%.<span style="font-size: 10.0pt; font-family: 'Arial',sans-serif; mso-fareast-font-family: 'Times New Roman'; mso-ansi-language: EN-US; mso-fareast-language: EN-US; mso-bidi-language: AR-SA;" lang="EN-US">Lighting system is a crucial sub-system and consumes substantial electricity energy in the buildings. This paper proposes an intelligent lighting control system using artificial neural network (ANN). The minimization of dimming levels of luminaires has been considered as an objective function of the controller. Moreover, the light sensor field of view is also taken into consideration in objective function formulation. The proposed ANN controller has been tested on an actual office room of the Department of Mechanical Technology, Institute of Industrial Training, Selandar, Melaka, Malaysia. The simulation has been carried out using DIALux simulation lighting software. Based on the results, the proposed controller showed great performance in terms of adaptive less light sensor data and achieving dimming levels target that complies the European Standard EN12464-1. Furthermore, it can save energy up to 34%.
Multibeam RF Antenna Performance for Indoor Coverage in Stadium
Authors: Sarnin Suzi Seroja , Yusoff Mohd Yusdee , Mohamad Mohamad Yazid , Naim Nani Fadzlin , Yaacob Norsuzila
Published: January 2019

The objective of the proposal is to address the demand on data over the services provided by telecommunication industries during major events held in Malaysia especially in stadiums. Previously, during most of the events, users will experience bad services in both data and voice transactions. It is not only slow or delayed but almost failed to access the network to connect them to the world. Besides a few solutions that have been introduced such as IBC (In-Building Coverage) and Small Cells, this proposed solution Multibeam RF Antenna, is one of them to address the demand. This solution has been chosen as it is fast in deployment, easy to maintain and cost effective even if it may not cover the whole targeted areas.
This paper will provide analysis, evaluation and actual Walk Test (WT) to show the effectiveness of the Multibeam RF Antenna
Web-Based Boarding School Monitoring System
Authors: Ya’acob Norsuzila , Azize Aziean Mohd , Yusof Azita Laily , Sarnin Suzi Seroja , Naim Nani Fadzlina , Rohaizad Siti Norbaiyah
Published: January 2019

An alibi is a priceless thing that someone can rely on when in needs. A good data management can and will save someone life in respond to any unwanted situation.A simple, accurate and trustworthy data log for students in boarding school can and will help ease parent-teacher monitoring system. However, the conventional system require student to manually inform and record their log to their parents and teachers. The system is lacks of automation where a number of problem may arise. The problem includes the inaccurate logging time, misplace of outing card and an unorganized log record. Web-Based Boarding School Monitoring System (WEBMOS) Using MySQL Database and RFID Technology were invented to solve this problem. This technology offered a system that can record student log data in an accurate manner. The aim is to build a system that can provide the accurate data to parent and teacher via a single click through their personal device. This system uses RFID module technology to monitor the student’s logs activity in real time manner. The monitoring system involve the utilization of Arduino Mega, Ethernet Shield, Global System for Mobile communication (GSM) and Radio Frequency Identification (RFID) Module. The system performs an automated data log after the student flashed their card to RFID reader, the data is uploaded to database after the card being flashed and the uploaded information can be view at the webpage at anywhere and anytime. Thus, thesystem is capable of collecting and recording aprecise real time data logging for student’s activity.
Smart Monitoring and Controlling of Frequency Deviation by Using MATLAB GUI and ARDUINO DAQ Card
Authors: Tariq Waqar , Othman Mohammad Lutfi , Wahab Noor Izzri Abdul , Akhtar Shamim
Published: January 2019

Electricity transmission and distribution in most of the countries are needed to be improved by the construction of new networks. These improvements are not that much cost effective and if cost is tried to be reduced then the quality and efficiency of the system is compromised which is not suitable at all for the current system. In addition obtaining planning permission and carrying out construction is so much difficult in busy cities. The main objective of this research is to monitor and control frequency deviation. A simple MATLAB controlling and monitoring system is being developed and the ARDUINO DAQ card is used to calculate the frequency deviation. The purpose of respective research is basically based on a dummy load which is used to show the usage of particular equipment’s used in a home such as fridge, freezer ,oven , lighting system, and domestic wet appliances such as washer dryer  which are attached these to a DAQ and then to a controlling and monitoring GUI MATLAB based. However, this research is focused on the monitoring and controlling of the frequency deviation.
Prediction Outcome for Massive Multiplayer Online Games Using Data Mining
Authors: Samsurim Shazwani , Kamal Nor Ashikin Mohamad , Ismail Marina , Diah Norizan Mat
Published: January 2019

Massive Multiplayer Online (MMO) game is one of the famous game genres among teenagers nowadays. MMO games allow gamers to interact and play with up to thousand players. Rainbow Six Siege (RSS) belongs to MMO type of game. However, due to many operators that are available in this game, the player needs to choose the right operator to counter the enemy operator. Therefore, based on the characteristic of the selected operator, this paper attempted to predict the outcomes of the game.  In our prediction model, characteristics for these operators were extracted from 120 live stream replays. Three classification algorithms were utilized to predict the outcome of the game. Among these algorithms, IBK had obtained outstanding performance in the dataset. The accuracy of the model is 93.75%, applying 5-fold cross-validation test. The success rate reveals that our proposed model is suitable to predict the outcome of the game.
A Novel and Innovative Approach for Image Steganography with Chaos
Authors: N Krishnaveni , P Sudhakar
Published: January 2019

Steganography is the art/technique of hiding message data inside a carrier file in such a way that unauthorized or unsolicited personnel is not capable of detecting the presence of data inside the carrier file. The Proposed Method provides improved security and improved high embedding capacity image steganography through the usage of Integer Wavelet Transform (IWT) and Chaotic Logistic map. Least Significant Bit technique is used to replace the bits in the coefficient of detail band. The proposed method offers lossless and unnoticeable change in the image steganography. In this paper we focus on both cryptography and steganography for better confidentiality, security and robustness. We find that the proposed algorithm has a better CMPSNR (Chaotic Logistic mapping) value averaging close to 74 after embedding the secret data, while the existing algorithms have values of around 65.
A Secure Data Aggregation Technique for Wireless Sensor Networks Using Iterative Filtering
Authors: R Jyothi , Cholli Nagaraj G
Published: January 2019

Wireless sensor system are accumulation of sensor hubs which send the detected information to sink hub. As sensor hubs are constrained to computational power and vitality asset, a vitality proficient usage of assets are basic keeping in mind the end goal to utilize organize for longer length. Hence data traffic inside network and large amount of data sending to base station need to be reduced. The main goal of data aggregation is to enhance the network life time by gathering an aggregate data in an energy efficient manner. Iterative Filtering algorithm are more reliable and efficient compared to existing method and it provides the way for aggregating the data at secure level and data trustworthiness. In order to strengthen security levels at cluster head cryptographic algorithm such as RSA algorithm is used to encrypt the aggregated data by   using public key and decrypt data at base station by using its own private key. Where this method is responsible for securing the information that is aggregated at cluster head and also secures the information passed through the networks. The simulation results shows that proposed method consumes less computation time, data transmitting, high security and   has a good storage capacity than compared to existing algorithm.
Ensemble Method for Indonesian Twitter Hate Speech Detection
Authors: Fauzi M. Ali , Yuniarti Anny
Published: January 2019

Due to the massive increase of user-generated web content, in particular on social media networks where anyone can give a statement freely without any limitations, the amount of hateful activities is also increasing. Social media and microblogging web services, such as Twitter, allowing to read and analyze user tweets in near real time. Twitter is a logical source of data for hate speech analysis since users of twitter are more likely to express their emotions of an event by posting some tweet. This analysis can help for early identification of hate speech so it can be prevented to be spread widely. The manual way of classifying out hateful contents in twitter is costly and not scalable. Therefore, the automatic way of hate speech detection is needed to be developed for tweets in Indonesian language. In this study, we used ensemble method for hate speech detection in Indonesian language. We employed five stand-alone classification algorithms, including Naïve Bayes, K-Nearest Neighbours, Maximum Entropy, Random Forest, and Support Vector Machines, and two ensemble methods, hard voting and soft voting, on Twitter hate speech dataset. The experiment results showed that using ensemble method can improve the classification performance. The best result is achieved when using soft voting with F1 measure 79.8% on unbalance dataset and 84.7% on balanced dataset. Although the improvement is not truly remarkable, using ensemble method can reduce the jeopardy of choosing a poor classifier to be used for detecting new tweets as hate speech or not.
Analyzing and Predicting User Navigation Pattern from Weblogs using Modified Classification Algorithm
Authors: Prakash P.G. OM , Jaya A.
Published: January 2019

A Weblogs contains the history of User Navigation Pattern while user accessing the websites. The user navigation pattern can be analyzed based on the previous user navigation that is stored in weblog. The weblog comprises of various entries like IP address, status code and number of bytes transferred, categories and time stamp. The user interest can be classified based on categories and attributes and it is helpful in identifying user behavior. The aim of the research is to identifying the interested user behavior and not interested user behavior based on classification. The process of identifying user interest, it consists of Modified Span Algorithm and Personalization Algorithm based on the classification algorithm user prediction can be analyzed. The research work explores to analyze user prediction behavior based on user personalization that is captured from weblogs. 
GPS & GSM Based Accident Detection And Auto Intimation
Authors: Fernandez S.George , Palanisamy R , Vijayakumar K.
Published: January 2019

The high demand of automobiles has also increased the traffic hazards and the road accidents. Life of the people is under high risk. This is because of the lack of best emergency facilities available in our country. An automatic alarm device for vehicle accidents is introduced in this paper. This design is a system which can detect accidents in significantly less time and sends the basic information to first aid centre within a few seconds covering geographical coordinates, the time and angle in which a vehicle accident had occurred. This alert message is sent to the rescue team in a short time, which will help in saving the valuable lives. A Switch is also provided in order to terminate the sending of a message in rare case where there is no casualty, this can save the precious time of the medical rescue team. When the accident occurs the alert message is sent automatically to the rescue team and to the police station. The message is sent through the GSM module and the location of the accident is detected with the help of the GPS module. 
Black Phosphorus Saturable Absorber for Pulse Generation Using Q-switched Teachnique
Authors: Hamida Belal Ahmed , Hussein L A , Khan Sheroz , Habaebi Mohamed Hadi , Zainuddin Ahmad Anwar , Eltaif T , Harun S W
Published: January 2019

This paper reported a passive Q-switched erbium doped fiber laser (EDFL) using two-dimensional (2D) material of black phosphorus saturable absorber (BP-SA). The maximum output power reached is 3.54 mW, which is generated by pump power of 42.327 mW. The results show that a stable pulse was generated with repetition rate starts at about 9.606 kHz and ends at about 44.72 kHz and very narrow pulse width between 40.01 µs and 9.84 µs and pulse energy 80 nJ. Clearly, the stability of the Q-switched pulse train was achieved because the BP-SA film was inserted in the laser ring cavity.
Microclimate control of a greenhouse by adaptive Generalized Linear Quadratic strategy
Authors: Essahafi Mohamed , Lafkih Mustapha Ait
Published: January 2019

To highlight the conceptual aspects related to the implementation of techniques optimal control in the form state, we present in this paper, the identification and control of the temperature and humidity of the air inside a greenhouse. Using respectively an online identification based on the recursive least squares with forgotten Factor method and the multivariable adaptive linear quadratic Gaussian approach which the advanced technique (LQG) is presented.  The design of this controller parameters is based on state models identified directly from measured greenhouse data. hence the performances of the controller developed are illustrated by different tests and simulations on identified models of a greenhouse. Discussions on the results obtained are then processed in the paper to show the effectiveness of the controller in terms of stability and optimization of the cost of control.
Fuzzy Logic Controller for Power Balance Theory Based STATCOM for Grid Connected Wind Turbine System
Authors: Muni Reddy Gundala , Gowri Manohar T
Published: January 2019

The use of renewable power sources, like wind power, has been increased recently due to climatic changes caused by fossil fuels and fast depletion of fossil fuels. This has lead to the tremendous increase in the interconnection of wind turbines to power system grid. This interconnection on a large number in to grid causes problems such as power quality, maintaining system voltage, reactive power compensation, control of grid frequency and aspects of power system grid stability. In this proposed scheme, a fuzzy logic based controller is employed for a STATCOM to improve the power quality. The proposed control scheme supplies the required reactive power to the system and thus relieves the source, leading to Unity Power Factor (UPF) at the source and also it injects currents to reduce total harmonic distortion (THD) to satisfy IEC standard. For extracting the reference currents, a power balance theory based control algorithm is employed. To determine the effectiveness of the proposed fuzzy logic controller, a comparative analysis is also performed with a PI controller and the results have been presented.
Recognizing Foreign Object Debris (FOD): False Alarm Reduction Implementation
Authors: Khan Talha , Alam Muhammad , Kadir Kushairy , Shahid Zeeshan , Mazliham MS. , Khan Sheroz , Miqdad Mohammad
Published: January 2019

Recognition of foreign object debris (FOD) on ruwanys is mandatory to avert the accidents and emergency. The accurate and precise estimation of FOD is very complex because of the intricated shape and their different tiny sizes as well which are noe easily visilble. For the prompt removal of the FOD from the runways a robust, accurate and precise system is badly needed. Therefore, in our research we have proposed a vigor system comprised of ultrasonic sensor and infrared images capturing device with a combination of fake alerts reduction algorithm based on infrared images distribution and morphological edge identification. After the segmentation and morphological processing, the decision a unifying divider was designed to identify the actual targets. Several approaches have been done for the detailed and rapid investigation of FOD. Testing and validation have proved that our proposed research performed well compared to the other techniques. In this research ultrasonic sensors results are integrated with the processed infrared images.
On the Review and Setup of Security Audit using Kali Linux
Authors: Gunawan Teddy Surya , Lim Muhammad Kassim , Zulkurnain Nurul Fariza , Kartiwi Mira
Published: January 2019

The massive development of technology especially in computers, mobile devices, and networking has bring security issue forward as primarily concern. The computers and mobile devices connected to Internet are exposed to numerous threats and exploits. With the utilization of penetration testing, vulnerabilities of a system can be identified and simulated attack can be launched to determine how severe the vulnerabilities are. This paper reviewed some of the security concepts, including penetration testing, security analysis, and security audit. On the other hand, Kali Linux is the most popular penetration testing and security audit platform with advanced tools to detect any vulnerabilities uncovered in the target machine. For this purpose, Kali Linux setup and installation will be described in more details. Moreover, a method to install vulnerable server was also presented. Further research including simulated attacks to vulnerable server on both web and firewall system will be conducted.
Advanced Active Power Filter Performance for Grid Integrated Hybrid Renewable Power Generation Systems
Authors: Prasad S. Guru , Srikanth K S , Rajanna B V
Published: January 2019

An active power filter implemented with a four leg voltage-source inverter using a predictive control scheme is presented. The use of a four leg voltage-source inverter allows the compensation of current harmonic components, as well as unbalanced current generated by single-phase nonlinear loads. A detailed yet simple mathematical model of the active power filter, including the effect of the equivalent power system impedance, is derived and used to design the predictive control algorithm. The compensation performance of the proposed active power filter and the associated control scheme under steady state and transient operating conditions is demonstrated through simulations and experimental results.
Modeling of 120W Monocrystalline Photovoltaic Module using MATLAB Simulink
Authors: Jumaat Siti Amely , Majid Adhwa Amsyar Syazwan Ab , Abdullah Mohd Noor , Radzi Nur Hanis , Hamdan Rohaiza , Salimin Suriana
Published: January 2019

This project aims to model a solar Photovoltaic (PV) Module using MATLAB Simulink. In Renewable Energy (RE) field, many studies have been carried out to determine the level of efficiency and performance of a specific PV module. Therefore, this research will carry out the modeling of the 120W Monocrystalline Photovoltaic Module by Su-Kam Solar using MATLAB Simulink to determine the efficiency and performance. The input parameters that consists of Solar Irradiance (G) and Temperature (T) data will be collected at location 1.8635° N, 103.1089° E which is in Parit Raja, Batu Pahat, Johor. The results are shown in I-V curve and P-V curve and compared with the theory of I-V and P-V curve. Other than that, the PV module have different performance in different value of irradiance and temperature. Lastly, the PV Module is work efficiently and full performance at Standard Test Conditon (STC).
Optimal Charging Schedule Coordination of Electric Vehicles in Smart Grid
Authors: Zalnidzam Wan Iqmal Faezy Wan , Mohamad Hasmaini , Salim Nur Ashida , Mokhlis Hazlie , Yasin Zuhaila Mat
Published: January 2019

The increasing penetration of electric vehicle (EV) at distribution system is expected in the near future leading to rising demand for power consumption. Large scale uncoordinated charging demand of EVs will eventually threatens the safety operation of the distribution network. Therefore, a charging strategy is needed to reduce the impact of charging. This paper proposes an optimal centralized charging schedule coordination of EV to minimize active power losses while maintaining the voltage profile at the demand side. The performance of the schedule algorithm developed using particle swarm optimization (PSO) technique is evaluated at the IEEE-33 Bus radial distribution system in a set time frame of charging period. Coordinated and uncoordinated charging schedule is then compared in terms of active power losses and voltage profile at different level of EV penetration considering 24 hours of load demand profile. Results show that the proposed coordinated charging schedule is able to achieve minimum total active power losses compared to the uncoordinated charging.
Wireless Monitoring Prototype for Photovoltaic Parameters
Authors: Sabry A. H. , Hasan W. Z. W. , Kadir MZA Ab. , Radzi M. A. M. , Shafie S.
Published: January 2019

Photovoltaic (PV) parameters monitoring is very important for the implementation and optimum utilization of solar energy as the electricity source. This work proposes a design of simple, cost-efficient, and low consumption wireless PV monitoring system enhanced by a driving software for recording the PV system parameters. The circuit is designed with a minimum number of components to manage four types of sensors to measure four parameters that are essential for real-time analysis and prediction of PV performance. The only pair of XBee RF modules as an active component, while others are passive, includes resistors and capacitors for PV current, and voltage those for signal conditioning, temperature and irradiance sensors were also involved. The paper presents a prototype system for high voltage series-connected PV array in the range (100-310) V and 3 ampere as a maximum current, while the sampling frequency can be configured up to 14 sample/Sec in applications of the short period for data logging for the four channels. The proposed system succeeds in providing real-time monitoring with lower cost and can be extended for more functions such as controlling tracking system and failure diagnosis.
 Photovoltaic (PV) parameters monitoring is very important for the implementation and optimum utilisation of solar energy as electricity source. This work proposes a design of simple, cost-efficient, and low consumption wireless PV monitoring system enhanced by a driving software for recording the PV system parameters. The circuit is designed with a minimum number of components to manage four types of sensors to measure four parameters that are essential for real-time analysis and prediction of PV performance. Only pair of XBee RF modules as an active components, while othera are passive, includes resistors and capacitors for PV current, and voltage those for signal conditioning, temperature and irradiance sensors were also involved. The paper presents a prototype system for high voltage series connected PV array in the range (100-310) V and 3 ampere as a maximum current, while the sampling frequency can be configured up to 14 sample/Sec in applications of the short period for data logging for the four channels. The proposed system succeeds in providing real-time monitoring with lower cost and can be extended for more functions such as controlling tracking system and failure diagnosis.
Identifying A User Interface Web Design Standard for Higher Learning Institutions Using Kansei Engineering
Authors: Turumugon Punitha , Baharum Aslina
Published: January 2019

User interface design plays an important role in web design. Designing a user interface that satisfies the emotional needs of the users is essential as the user interface plays a crucial role in generating remarkable user experiences for websites. A poorly designed user interface leads to bad user interaction while raising the users’ arousal and a displeasing user experience with a website elicits dissatisfaction emotion where consecutively results in avoidance and prevents revisit to the website. A standard emotional based user interface web design would enhance user experience which will lead to success of a website. Kansei engineering which is a popular technique in transforming users’ feelings into product design is used in this research. This study tries to convert the feelings and emotions of users into design elements with the use of Kansei engineering technology in order to design an appropriate higher learning institution website by  identifying a standard web design that cultivates emotional engagement. A standard user interface web design guideline for the development of the higher learning institutions’ website has been proposed in this research.
A Compact Inverted Y Slot Rectangular Microstrip Patch Antenna for Bluetooth Applications
Authors: Verma Ramesh Kumar , Srivastava D K
Published: January 2019

In this paper a compact and slotted rectangular microstrip antenna is designed at 3.00GHz frequency and it is loaded by inverted Y slot so that the bandwidth of microstrip antenna is improved upto 36.30%. The area of radiating patch for 3.00GHz frequency is 711.36mm2.The proposed antenna design has frequency band in the frequency range 2.097GHz to 3.030GHz. The proposed antenna is resonating at 2.45GHz and area of radiating patch at this frequency is 1077.97mm2. Hence the size of antenna is reduced by 34% corresponding to resonance frequency 2.45GHz. This frequency band is suitable for Bluetooth and other wireless communication applications. The proposed slotted microstrip antenna is directly feed by 50Ω microstrip line feed. The proposed antenna is simulated by IE3D simulation software based on method of moments.
Performance Investigation of Coaxial Cable with Transmission Line Parameters Based on Lossy Dielectric Medium
Authors: Wagaye Gebremedhn Wubet
Published: January 2019

This paper presents the analysis of high performance for coaxial cable with transmission line parameters. The modeling for performance of coaxial cable contains many parameters, in this paper will discuss the more effective parameter is the type of dielectric mediums. This analysis of the performance related to dielectric mediums with respect to dielectric losses and its effect upon cable properties, dielectrics versus characteristic impedance, and the attenuation in the coaxial line for different dielectrics. The analysis depends on a simple mathematical model for coaxial cables to test the influence of the insulators (Dielectrics) performance.
Wireless Sensor Network Design for Earthquake’s and Landslide’s Early Warnings
Authors: Latupapua Haziel , Latupapua Andrias Izaac , Wahab Abdi , Alaydrus Mudrik
Published: January 2019

Indonesia including the earthquake-prone areas because Indonesia is situated between three tectonic plates and in the Maluku island it self has a fault line 10 zones, the impact of frequent tectonic earthquake on the island of Maluku resulted in a domino effect, such as the frequent occurrence of soil landslides at several points in the city of Ambon, and due to faults that occur lead ease rising sea levels to population centers so Ambon was becoming flooded. This research aims to design and analyzing measurements of earthquake monitoring system indication and landslides integrated via Wireless Sensor Network (WSN) by implementing a star topology, technology, ZigBee, WiFi technology Shield and GPRS (General Packet Radio Service). Researchers technology utilizes Wireless Sensor Network (WSN) to acquire and distribute widely the data to be monitored and controlled centrally.By detecting suspicious indicators such as tremor or landslides through nodes or end devices, the system provides information to the number of monitors and warnings. The system can also be accessed in real-time via the website by accessing the IP address of the Wireless-LAN devices Wi-Fi Arduino Shield.
Implementation of Robust Tracking Algorithm on Nano-Computer
Authors: Hammemi Khaled , Atri Mohamed
Published: January 2019

In this work, we developed the NSSD-DT method, which allows us to track a target in a robust way. This method effectively overcomes the problems of geometrical deformation of the target, partial occlusion and allows recovery after the target leaves the field of view. The originality of our algorithm is based on a new model, which does not depend on a probabilistic process and does not require data-based beforehand. Experimental results on several difficult video sequences have proven performance benefits. The algorithm is implemented on a BCS 2835 system based on a quad core ARM processor, it is also compared to the software solution. NSSD-DT can be used in several applications such as video surveillance, active vision or industrial visual servoing.
Hypertension Drug Suitability Evaluation Based On Patient Condition with Improved Profile Matching
Authors: Soetanto Hari , Hartati Sri , Wardoyo Retyanto , Wibowo Samekto
Published: January 2019

The accuracy of the type or dosage of drugs by doctors is important. The types and doses of medicines given by the doctors should match the illness suffered by the patient as well as consider the patient's health condition. In hypertension disease, the error rate of drug dosage by medical personnel is quite high, reaching 34%. Meanwhile, the administration of the type and dosage of drugs appropriate to the patient's condition required the knowledge of high medical personnel and experienced medical personnel. In this research, we developed the model of drug suitability evaluation with hypertension patient's health condition using Profile Matching method. The proposed model evaluates the patient's health condition based on the parameters provided by the expert and produces recommendations on the type of drug. To optimize the Profile Matching method, in this research we applied interpolation weighting method which calculates the proximity level of the patient profile with drug profile more accurately. Based on the experiment, the proposed model has an accuracy value of 87%, precision 87.11% and recall of 85.44%. It proves that the proposed method can provide recommendations on the right type of hypertension medication. Also, the interpolation weighting method is proven to increase the accuracy. 
K-Means Clustering and Genetic Algorithm to Solve Vehicle Routing Problem with Time Windows Problem
Authors: Alfiyatin Adyan Nur , Mahmudy Wayan Firdaus , Anggodo Yusuf Priyo
Published: January 2019

Distribution is an important aspect of industrial activity to serve customers on time with minimal operational cost. Therefore, it is necessary to design a quick and accurate distribution route. One of them can be design travel distribution route using the k-means method and genetic algorithms. This research will combine k-means method and genetic algorithm to solve VRPTW problem. K-means can do clustering properly and genetic algorithms can optimize the route. The proposed genetic algorithm employs initialize chromosome from the result of k-means and using replacement method of selection. Based on the comparison between genetic algorithm and hybrid k-means genetic algorithm proves that k-means genetic algorithm is a suitable combination method with relative low computation time, are the comparison between 2700 and 3900 seconds.
Relay Based Performance Metrics of Bluetooth Scatternet Scheduling
Authors: Kanagavalli Ramachandran , Sankaragomathi B.
Published: January 2019

Bluetooth is an emerging mobile ad-hoc network that accredits wireless communication to connect various short range devices.  A single hop network called piconet is the basic communication topology of bluetooth which allows only eight active devices for communication among them seven are active slaves controlled by one master. Multiple piconets are interconnected through a common node, known as Relay, to form a massive network called as Scatternet. It is obvious that the performance of Scatternet scheduling is highly dependent and directly proportionate with the performance of the Relay node.  In contrary, by reducing the number of Relays, it may lead to poor performance, since every Relay has to perform and support several piconet connections.  The primary focus of this study is to observe the performance metrics that affects the inter-piconet scheduling since the Relay node’s role is like switch between multiple piconets. In this paper, we address and analyze the performance issues to be taken into consideration for efficient data flow in Scatternet based on Relay node.