bluuebunny/crossref_metadata_2025 huggingface dataset:
Power quality improvement using dynamic voltage restorer in electrical distribution system: an overview
Authors: Mohammed Ali Basim , Mohd Ariff Mohd Aifaa , Najwa Ramli Sofia
Published: February 2020

This paper represents a review of the dynamic voltage restorer for power quality improvement in the electrical distribution system. Over the past 50 years, issues concerning power quality have steadily increased, to prevent the effect of the voltage disturbances, some of the devices are put as a solution to these problems such as distribution static compensator (D- STATCOM), solid-state transformer (SST), uninterruptible power supply (UPS), dynamic voltage restorer (DVR). The DVR is one of the economic solutions to overcome the voltage disturbances like voltage sag/swell and harmonics. It is widely used to mitigate the voltage disturbances in the power distribution system, especially in the medium and low distribution networks. This paper aims to review the implementation of the DVR in the system integrated with renewable energy resources. This is important because the future of electricity business is moving towards renewable energy and also provides a thorough discussion of the typical components, controllers, compensation methods, and the application of DVR. The extensive review of the technology aims to ease and speed up the development and the advancement of the DVR in the near future.
Ensemble deep learning for tuberculosis detection
Authors: Ahmad Hijazi Mohd Hanafi , Qi Yang Leong , Alfred Rayner , Mahdin Hairulnizam , Yaakob Razali
Published: February 2020

Tuberculosis (TB) is one of the deadliest infectious disease in the world. TB is caused by a type of tubercle bacillus called Mycobacterium Tuberculosis. Early detection of TB is pivotal to decrease the morbidity and mortality. TB is diagnosed by using the chest x-ray and a sputum test. Challenges for radiologists are to avoid confused and misdiagnose TB and lung cancer because they mimic each other. Semi-automated TB detection using machine learning found in the literature requires identification of objects of interest. The similarity of tissues, veins and small nodules presenting the image at the initial stage may hamper the detection. In this paper, an approach to detect TB, that does not require segmentation of objects of interest, based on ensemble deep learning, is presented. Evaluation on publicly available datasets show that the proposed approach produced a model that recorded the best accuracy, sensitivity and specificity of 91.0%, 89.6% and 90.7% respectively.
I-OnAR: a rule-based machine learning approach for intelligent assessment in an online learning environment
Authors: Bin Rodzman Shaiful Bakhtiar , Abu Bakar Nordin , Choo Yun-Huoy , Ahmad Aljunid Syed , Kamal Ismail Normaly , Abd Rahman Nurazzah , Mohd Rosli Marshima
Published: February 2020

Intelligent systems are created to automate decision making process that is similar to human intelligence. Incorporating intelligent component has achieved promising results in many applications, including in education. Intelligence modules in a tutoring system would bring the application and its capability closer to a human's ability to serve its human users and to solve problems. However, the majority of the online learning provided in the literature review especially in Malaysia, normally only provide the lecture notes, assignments and tests and rarely suggest or give feedbacks on what the students should study or do next in order to fully understand the subjects. Hence, the researchers propose an online learning environment called Intelligent Online Assessment and Revision (I-OnAR). It facilitates the learning process at multiple learning phases such as test creation, materials revision, feedback for improvement and performance analysis. These components are incorporated into the tutoring system to assist self-pace learning at anytime and anywhere. The intelligent agent uses a Rule-based Machine Learning method for the adaptive capabilities such as automated test creation and feedbacks for improvement. The system has been tested on a group of students and found to be useful to support learning process. The results have shown that 60% of the subjects’ performance have improved with the help of the system. The students were given feedbacks on the topic they did poorly as well as how to improve their performance. This proves that the Intelligent Online Assessment and revision (I-OnAR) can be a useful tool to help online students intelligently, systematically and efficiently. For the future works, the researchers would like to apply the usage of other techniques such as Fuzzy Logic to strengthen the analysis and decision of the current system.
A review of arabic text steganography: past and present
Authors: Jusoh Suhaibah , Mustapha Aida , Ismail Azizan , Din Roshidi
Published: February 2020

Steganography is a strategy for hiding secret information in a cover document in order to avoid attacker from predict about hidden information. Steganography exploit cover message, for instance text, audio, picture and video to hide the secret message. Before this, linguistic text steganographic techniques are implemented just for the English language. But nowadays different languages are used to hide the data like Arabic language. This language is still new in the steganography and still need practices for empowerment. This paper will present the text steganographic method for Arabic language, scholar paper within 5 year will be analyze and compared. The main objective of this paper is to give the comparative analysis in the Arabic steganography method that has been applied by previous researchers. Finally, the disadvantage and advantage of the method also will be presented in this paper.
Parent’s acceptance on wearable technology for children’s safety
Authors: Mohammed Zadilhayat , Redzuan Fauziah
Published: February 2020

This paper presents a study on parent’s acceptance on wearable technology for children’s safety. Recently, there are many applications of wearable technology used in ensuring children’s safety, such as GPS tracking devices that are seen to be related to the safety of the children. However, the Malaysian parents have not been using these technologies to protect their children due to lack of knowledge on the wearable technology, non-familiarity with the devices, privacy and also security concern of data in wearable technology. Thus, the objective of the present research is to identify the significant factors that influence parents’ acceptance on wearable technology for their children’s safety and to identify the greatest influence factors for the acceptance of these wearable technologies for children’s safety. These factors are expected to bring about usefulness, ease of use, trust, privacy risk, financial risk and intention to use these technologies. As such, quantitative survey method was employed in the present study to obtain the result for the factors acceptance. The analysis and findings were done using IBM SPSS Version 25 tools via Pearson Correlation Analysis and Multiple Linear Regressions to get the result for the acceptance and to achieve the research objectives. Based on the result, it is discovered that the factors significant to intention to use of the wearable technology are perceived usefulness, perceived ease of use and trust while privacy and financial risk are factors seen to be non-significant to intention to use the wearable technology. Lastly, trust is discovered to be the greatest factor influencing parents to accept wearable technology and intention to use the technology. However, it is recommended for further study to employ experimental method in carrying out the research in order to get the real trust feeling of intention to use the wearable technology.
Mobile learning application: flipped classroom
Authors: Baharum Aslina , Yi Wan Lim , Yahya Farashazillah , Hanin Nazlan Nadia , Mohamed Nor Nor Azida , Ismail Ismassabah , Mat Noor Noorsidi Aizuddin
Published: February 2020

This study attempts to illustrate the phases of designing a flipped learning mobile application. It is worth noting that changes in students’ learning behavior should be met by changes in the classroom – particularly on the way a course should be delivered. Studies have shown that students who learn using the flipped learning method are less likely to fail as opposed to their counterparts in the traditional classroom setting. The rising importance and popularity of flipped learning necessitates the development of a mobile application that assists both students to learn and allow instructors to manage their course via their mobile devices, almost anywhere and anytime. The software development life cycle (SDLC) is divided into four distinct phases: 1) Preliminary study, 2) content design, 3) System design and development, and 4) System evaluation. The effectiveness of the application is tested using electroencephalography (EEG). The findings suggest effectiveness of the mobile application falls within the acceptable range. Improvements for the flipped learning mobile application is also presented.
Comparing load balancing algorithms for web application in cloud environment
Authors: Benlalia Zakaria , Abouelmehdi Karim , Beni-hssane Abderrahim , Ezzati Abdellah
Published: February 2020

Cloud computing has emerged as a new paradigm for providing on-demand computing resources and outsourcing software and hardware infrastructures. Load balancing is one of the major concerns in cloud computing environment means how to distribute load efficiently among all the nodes. For solving such a problem, we need some load balancing algorithms, so in this paper we will compare the existing algorithms for web application.and based on results obtained we choose the best among them.
Cloud computing based load balancing algorithm for erlang concurrent traffic
Authors: Jittawiriyanukoon Chanintorn
Published: February 2020

The distribution of scheduler from user inquiries in the clouds is complex. In keeping up with the cloud computing environment and the inquirers, the clouds meet with some problematic load balancing complications as an improving load balancing tool induces the rigorous efficiency of the cloud based website’s user access. Overloaded or underloaded conditions originate processing catastrophe regarding the prolonged execution time, bandwidth hog, malfunction, and etc. Besides, to manipulate Erlang concurrent tasks is another skyward situation. Hence, the load balancing is obliged to exhaust all mentioned conditions. The proposed load balancing algorithm for Erlang concurrent tasks (those are and could also be autonomous and unstable.) on VMware workstations is introduced.  There are several load patterns within the clouds corresponding to CPU’s load (utilization), memory load (queue size), link capacity load (bandwidth), and so on. The proposed load balancing is to spot underloaded and overloaded conditions then stabilizes the weight amidst computing nodes. There are countless load balancing approaches in the cloud environment to examine performance parameters. A short outline of corresponding performance metrics in the review and their findings are presented. To investigate the fit efficiency of the proposed algorithm, the simulation is applied then results based on the proposed method are compared to the existing ones. The outcomes settle the weight balancing, outperform others when executing Erlang traffic, and are catered in the context.
Image processing based foot plantar pressure distribution analysis and modeling
Authors: Hussein Sabry Ali , Wan Hasan W. Z. , Nazim Mohtar Mohd , Kamil Raja Ahmad Raja Mohd , Rashidi Ramli Hafiz , P. Ang S. , Abdul Hamid Zainidi Haji
Published: February 2020

Although many equipments and techniques are available for plantar pressure analysis to study foot pressure distributions, there is still a need for mathematical modelling references to compare the acquired measurements. In order to derive formulas in this concern, this research proposes a measurement-based method which adopts the reference measured parameters such as; the weight of a subject, contact-area size, age, and the pressure level distribution over a plantar image captured by the EMED plantar pressure system. The proposed analysis and algorithm were verified by a group 79 volunteers through data collection with four various measurement conditions. Three mathematical modelling equations have been proposed that describe the relationships between the foot plantar pressure levels and the subject’s body mass, foot size, and age. The modelling of foot plantar pressure could be useful for various applications such as gait analysis, hospitals, clinics, custom shoe making, and early detection of ulceration in the case of diabetic patients.
Implicit force control approach for Safe physical Robot-to-Human object handover
Authors: Neranon Paramin
Published: February 2020

This research focuses on the development of the conceptual frameworks of human-human interaction applied for a robotic behaviour-based approach for safe physical human-robot interaction. The control has been constructed based on understanding the dynamic and kinematic behavioural characteristics of how two humans pass an object to each other. This has enabled a KR-16-KUKA robot to naturally interact with a human so as to facilitate the dexterous transfer of an object in an effective manner. Implicit force control based on Proportional Integral and Fuzzy Logic Control which allows the robot end effector’s trajectory to be moderated based on the applied force in real-time was adopted. The experimental results have confirmed that the quantitative performance of the force-controlled robot is close to that of the human and can be considered acceptable for human-robot interaction. Furthermore, the control based Fuzzy Logic Control was shown to be slightly superior performance compared to Proportional Integral control.
Virtual inertia support for wind turbine system
Authors: Shahida Hasan Nor , Rosmin Norzanah , Mohd Nordin Nor Julia , Hatib Mustaamal Aede , Maherah Husin Siti , Aripriharta Aripriharta , Devi Sara Ira
Published: February 2020

Previously, a conventional synchronous generator is adapted into the wind energy conversion system to supply the required inertial support; however its slow behaviour may worsening the stability problem of the system during frequency event. In this paper, a new approach that enables virtual inertial support from supercapacitor during sudden load increase e.g. when wind turbine experiencing sudden wind or load changes is presented. Here, a new approach that can regulate the system frequency by controlling the charging and discharging process of supercapacitor is demonstrated. Hence, an algorithm on how to derive the behavior of supercapacitor and power converter is presented. From the simulation results, it has been found that this proposed approach successfully reduces the frequency nadir and ROCOF of the system frequency. It also able to avoid the second frequency dips during frequency recovery time.
Sizing verification of a 4kWp retrofitted grid-connected photovoltaic system: a case study in Shah Alam, Malaysia
Authors: Shukor F.A.M. , Zainuddin H. , Manja A. , Khir F. L. M.
Published: February 2020

Electricity are commonly generated from several types of energy resources such as fossil and nuclear energy. However, due to emission of carbon dioxide from both sources, renewable energy is introduced to provide a clean and secure sustainable energy. One of the potential renewable energy application is Photovoltaic (PV) system; namely grid-connected photovoltaic (GCPV) system and stand-alone photovoltaic (SAPV) system. In this study, a mathematical approach of SEDA’s GCPV sizing model is implemented to size a 4kWp of a retrofitted GCPV system by the method claimed to be the best practice mathematical design model under tropical climate Malaysia.  The outcome of the sizing approach will then be evaluated with HelioScope software, one of commercial simulation tools available in current market.  The final result obtained from both methods shows that the final PV array configuration is 1 x 12 (parallel x series) which is in agreement to the actual installed system.
Analysis of light tubes in interior daylighting system for building
Authors: Mohapatra Badri Narayan , Kumar M Ravi , Mandal Sushanta Kumar
Published: February 2020

Analysis of vertical light tubes, and diffuser as daylighting system in buildings is presented. The solar light energy is directly addressed to the chosen area of the building with a light tube and diffuser guiding structure. This work highlights illuminance obtained by light tubes in a three storied office building. Field investigation with a scaled prototype, and simulations with HOLIGILM, and DIALux are analyzed. It is observed that light tubes can offer large savings in electricity usage by using natural daylight.
Evaluating the tracking e-Files prototype project based on the task technology fit model
Authors: Al-khafaji Nassir Jabir , Mubarak Abdullah Riyad , A. Kashmoola Mohammed
Published: February 2020

Locating files in an exact time is considered one of the greatest problems and the tedious process in universities nowadays. This problem becomes greater when the university has a large number of departments and transactions, as well as the documents are moving from one department to another. Especially, developing countries that have many problems and unstable environment and that may lead to lost or damage the important documents that influence on the decision making. Furthermore, the traditional manner not only wasted the time and energy, but also the paper cost for printing copies of required file. And with the advancement of technology and the increase of Internet users, documents are still being sent in Iraqi universities manually between departments. Although the higher education and scientific research ministry was recommended the public universities for using modern technologies during the daily transactions between the departments or amongst the units.  Therefore, this study sought to design and evaluate the prototype system which tracks movements of the documents from one department to another as well as check the completion rate for each department. For providing opportunities to assess how well the use of e-file tracking system meets the needs of management units in universities. The systems implementation research notes the need to fit between tasks, technologies and users.  Thus, this empirical study utilized the task technology fit model for this purpose. The results from selected participants indicated that all the factors significant effect on the employee’s performance in E-file Tracking System, excepted, task characteristics. This study will be contributed to reduce the corruption and enhance the transparency and help the decision-makers make the right decision at the right time.
In-sole plantar pressure device with optimization measurement techniques
Authors: Hussein O. , Wan Hasan W.Z. , Che Soh A. , Jafaar H. , Ramli H.R. , Ang S.P. , Abdul Hamid Zainidi Haji
Published: February 2020

Doctors and clinicians rely on accurate underfoot pressure data to perform diagnosis of foot diseases. In sole pressure measurement systems are designed to provide such data but its implementation suffers from certain constraints such as the need for a spacer to be placed on the sensor when taking measurements and the need for multiple calibrations due to the fact that the sensor parameters tend to change without it. In this work, we proposed an optimization technique to address these limitations. The results obtained from testing indicate that the proposed device performed measurement of plantar pressure effectively. Also, the calculation of body weight using the proposed optimization technique is improved from 5.07% to 9.06%. For validation, the results are compared with the measurements from a commercial plantar pressure device (EMED system) as benchmark. 
Improvement in energy conversion for unmanned aerial vehicle charging pad
Authors: AL-Obaidi M. R. , Mustafa M. A. , Hassan W.Z.W. , Azis N. , Sabry A. H. , Ab-Kadir Mohd Zainal Abidin
Published: February 2020

An efficient charging station is a necessity for Unmanned Aerial Vehicle (UAV) systems. However, if that implementation adds more complexity and onboard weight, then that exercise becomes a burden rather than a benefit since UAV's engineers aim to improve efficiency by reducing the energy consumed by the software and hardware of the complete aeronautical system. This article recommends a fully automatic contact charging station for UAVs, which can charge UAVs and thus resolve flight endurance restrictions of the UAV. The ground station consists of square copper plates that are positively and negatively polarized successively in a chessboard with particular sizes to guarantee electric contact at the landing. The design methodology used with the loading station takes into account the differences in UAV orientation once the platform has landed. In addition, this innovation uses independent charging after touchdown. Thus, this technology relaxes common flight times and help to enhance general mission times. This paper presents a unique charging platform in a “chessboard” configuration, which is devised as an interconnecting interface to facilitate the charging process and overcome inaccuracies with the landing. The solution devised in this research requires few components and presents two power source options (solar & mains power). Additionally, this work presents, to the best of our knowledge, a uniquely innovative recharging landing platform, which incidentally requires no additional software or changes to the UAV’s onboard software settings.
Optimized low voltage low power dynamic comparator robust to process, voltage and temperature variation
Authors: Roslita Rusli Julie , Shafie Suhaidi , Mohd Sidek Roslina , Abdul Majid Hasmayadi , Wan Hassan W. Z. , Mustafa M. A.
Published: February 2020

Power consumption and speed are the main criteria in designing comparator for analog-to-digital converter (ADC).  This paper presents an optimized low voltage low power dynamic comparator which is robust to process, voltage and temperature (PVT) variations with adequate speed.  The comparator circuit was designed using 0.18µm CMOS technology with low voltage supply of 0.8V.  The method used to verify the robustness of the comparator circuit across 45 PVT is presented.  The circuit is simulated with 10% voltage supply variation, five process corners and temperature variation from 0°C to 100°C. The simulation result show that the proposed comparator circuit achieved significant reduction of power consumption and delay during worst case condition compared to dynamic comparator proposed from previous researchers.
Safety and security solution for school bus through RFID and GSM technologies
Authors: Mansor Hasmah , Aqil Mohamad Fadzir Tun Mohamad , Gunawan Teddy Surya , Janin Zuriati
Published: February 2020

All children throughout the world aged 4 to 17 are going to schools every weekdays. The most common transport used by children is school bus.  In many countries accross the globe, most children uses school bus services to go to school and return back home especially to working parents.  Although safety of their children is always the main concern of all parents especially the young ones, they have to rely on the bus services due to time constraints during working hours. Sometimes parents need to call the bus driver to ensure their children has reached home or school.  This will create inconvenience to bus driver and may lead to other unwanted consequences. Realizing the root of this problem, a school bus safety and security system has been proposed. The school bus safety and security system is a solution based on Short Messaging System that notifies parents if their children have safely arrived at home or school. RFID and GSM technologies are the main technique proposed in this project. RFID is used for several purposes; to identify the children and parents’ contact number, and attendance monitoring through head count system. GSM is used as a commucation platform to inform parents’ on their children’s movement via SMS. Several tests have been conducted to analyse the overall performance of the developed hardware prototype. From the results, it can be concluded that the developed project is successfully identify the children based on their unique ID, send a text message through SMS to parents with required information; and additional feature of attendance checker. The hardware prototype was successfully tested for children’s identification, attendance and SMS notifications to parents. As a consequence, this project could increase the safety and security solution for children travelling with school bus transportation and give parents peace of mind.
Identification of hijaiyah letters using wirelessly controlled arabic braille module
Authors: Nik Mohd Rahimi Nik Azimah Zainab , Mohamad Hanif Noor Hazrin Hany , Janin Zuriati
Published: February 2020

Among the major issues faced by the visually impaired people is the inability to read, and this is could be addressed by learning braille. However the scarcity of skilled instructors to teach the braille codes to the visually impaired people limits the learning process. This paper presents a psychophysical study on the ability of people with visual challenges to identify hijaiyah letters from a specially developed Arabic braille module. This module consists of six miniature solenoids that are wirelessly controlled via a Bluetooth and an Arduino Uno microcontroller. Five different hijaiyah letters were provided to the participants and were randomly repeated for three times. The participants were required to touch the Arabic braille module and state the hijaiyah letters that were displayed. With priori knowledge and initial familiarization of the braille patterns, 72.9% of the trials showed accuracy between the braille display and the stated hijaiyah letters. 20% of the participants have the highest repeatability responses of 80%. The outcome of this work showed the optimistic capability of the wirelessly controlled Arabic braille display to assist visually impaired individual to read hijaiyah braille letters and ultimately promotes independence in learning.  
Augmented reality an economical solution for engineers and designers
Authors: Nasir Sidra , Noman Zahid Mohammad , Ahmed Khan Talha , Kadir Kushsairy , Khan Sheroz
Published: February 2020

Now a days, with obscene workload and a busy life, many experts face problems which more or less result in loss of their customers or to certain overheads that immobilize the customer's satisfaction process. The software being proposed will facilitates professional from various field like in mechanical designing, interior designing and that of architects. This research proposal most likely acts as an effective tool that can reduce the gap between industrial enterprises and customers in addition to other relevant business groups. It helps to visualize architectural designs and interior designs. Before the physical implementation, a virtual model of a real environment can be designed, enabling designers to virtually implement their idea in the given workspace and then view it in a real environment, enabling designers to view their 3D visualizations on their 2D drawings this help them to initially visualize and reconstruct the design without wasting a large amount of money making it a cost-effective solution. Application is based on my observations of the user's aspirations of an augmented reality in design service, a service that combines different social media functionality, augmented reality (AR) and 3-D modeling that embraces the concept of home design, architecture and mechanical designing process. This study connects all users of relevant concerns to an augmented reality's user-intensive design. The paper provides you with the existential complexity of how the AR can be implemented to enhance the work of architects and designers. The proposed application shows two types of reality, marker-less and more marker-based. The new feature of the project is that no expensive devices are required. It can be used easily through smartphones and tablets. This is a cost-effective solution that mainly reduces the overhead accosted daily by, mechanical designers, interior designers and architects. The software displays all the features that mechanical designers, interior designers and architects may need.
Temperature distribution analysis of monocrystalline photovoltaic panel for Photovoltaic-Thermoelectric generator (PV-TEG) hybrid application
Authors: A. Ruzaimi , S. Shafie , W. Hassan W. Z. , Azis N. , Effendy Ya'acob M. , Elianddy E.
Published: February 2020

An experiment has been carried out to prove the practicality of converting the waste heat from PV panels into electrical energy by observing the temperature levels and distribution of a conventional monocrystalline silicon (Mono c-Si) photovoltaic (PV) panels for photovoltaic-thermoelectric generator (PV-TEG) hybrid application of a Hybrid Agrivoltaic (HAV) Greenhouse System project. From the observation, highest temperature of the PV backside panel surface reached 81.1°C during solar noon and expected to reach even higher during hot season. The highest power output from the 160 numbers TEG modules in series and parallel configuration were calculated to reach 119 Watt during that time at ΔT 56.1 °C. This output is expected to fluctuate over the weather temperature fluctuation throughout the day. Meanwhile, for the heat distribution, it is best to apply the TEG arrays with optimized PV angle setup, where the temperature seems to be distributed evenly at all time, to provide optimum heat source to the TEG modules. It was concluded that the excess heat from the bottom surface of PV panels can be utilize by converting the heat via temperature differential to harvest additional electrical energy by integrating TEG system, hence maximizing the potential of solar radiation capacity in generating clean renewable energy.
Analysis of energy losses reduction potential on the distribution line of campus building through electric power quality improvement
Authors: Pawawoi Andi , Zuheldi Zuheldi , Akbar Fajril , Nazir Refdinal
Published: February 2020

In public and commercial buildings, the reduction of electricity consumption activities can be conducted through 3 paths, including improving the quality level of electric power, increasing the efficiency of electrical equipment, and reducing the waste of electric energy use. In this paper, the energy losses reduction potential on the distribution line of Engineering Faculty, Andalas University buildings through electric power quality improvement are analyzed. Power Quality (PQ) variables that considered in this analysis include power factor, unbalance current load and harmonics distortion. Analysis of correlation between PQ variables is required to determine the power loss on the distribution line of buildings. Using data of PQ variables recorded by Fluke Power Analyzer 435 series II, the energy losses of the distribution line without/with PQ improvement for each building is calculated. Analysis results have shown that the reduction potential is proportional to the value of PQ variables. Administrative faculty building with poor power quality has the potential to reduce its energy losses on the distribution line by 52.62% through power quality improvement. Civil engineering building group with quite good power quality only has the potential to reduce energy losses by 32.81%. Overall, the buildings in this faculty have the potential to reduce energy losses on distribution lines by 34.42% through its power quality improvement.
Partial discharge detection device using ultrasonic sensor on medium voltage XLPE cable
Authors: Radzi I. F , Nik N H , Rameli N , Ariffin A. Mohd , Rahman M. S. Abd , Rahman M. R , Ahmad M. R , Salleh A. S
Published: February 2020

There are many methods that have been studied by earlier researchers in order to detect the acoustic properties of Partial Discharge (PD) emitted by PD sources. One of the methods known as ultrasonic sensing on medium voltage Cross-Linked Polyethylene (XLPE) cable was adopted to detect partial discharges on commercial applications, usually by using Acoustic Emission (AE) sensors. This paper presents the processes of designing a PD sensor to detect the acoustic properties of the partial discharges on medium voltage XLPE cable. This PD sensor method works by detecting the partial discharges occurred at the joint of the cable which can act as an early warning device to help minimize the repair and maintenance costs of degrading cable. Result of the experiment shows the complete design of the prototype device, the device after fabrication and the functionality of the device. This design of the prototype can be beneficial for future uses in designing cost efficient and smaller sized PD detection devices. By positioning the sensor in horizontal position directly to the source of PD on the cable, the sensor will be able to detect acoustic properties of PD, by picking up the frequencies beyond 40 kHz. By varying the voltage applied values, a design of experiment (DOE) is carried out accordingly. Result of the experiment shows that the prototype device is functioning as expected, and hence this finding will be very useful to the consumers of power industries as the sensor device can serve as an alternative device to the commercialized PD sensing devices which are bulky and expensive.
Effect of combination of dye carotene and phycocyanin using daucus carota and spirulina sp. on optical sensor performance
Authors: Rahmadwati Rahmadwati , Rachmawati Luthfiyah , Mudjirahardjo Panca , Maulana Eka
Published: February 2020

This research designed optical sensors using mercury lamp of 160W. These sensors provided voltage and current output. The design of optical sensors used the organic based material,i.e. dye  carotene and phycocyanin. Fabrication of optical sensor in this research used spin coating deposition method. Based on the results of absorbance test, dye carotene had the largest absorption of light of 2.882 (a.u).  Dye phycocyanin at length had the largest absorption of light of 2.787 (a.u). Combination between dye carotene and phycocyanin, for a 3: 1 (Carotene: Phycocyanin) ratio had a waveform like a dye carotene with a peak of 2.587 (au), whereas for 1: 3 had a waveform like phycocyanin with a peak of 2,279 (au). But, sample 1: 1 ratio had decrement the light absorbance rate with peaks of 1.183 (au). At the voltage testing result, combination of phycocyanin: carotene (1:3) had the best linearity. The response time of dye 3:1 (phycocyanin: carotene), 1:1, 1:3, phycocyanin, and carotene were 6.72 s, 2.469s, 1.171s, 2.66s and 7.01s respectively. 
Preliminary experimental evaluation of a novel loudspeaker featuring magnetorheological fluid surround absorber
Authors: Purnomo Endra Dwi , Ubaidillah Ubaidillah , Imaduddin Fitrian , Yahya Iwan , Mazlan Saiful Amri
Published: February 2020

A novel design of magnetorheological fluids (MRF) based surround device in a loudspeaker system was studied in this article. The main objective of this research is to design a new surround device of the loudspeaker that can be easily controlled its damping. Therefore, it was predicted that the audio pressure level on the loudspeaker could be easily manipulated at a different sound source by applying a certain magnetic field. This function could not be reached using one conventional speaker system. Firstly, a set of an electromagnetic device containing MRF was designed to replace the conventional rubber surround. The magnetic circuit was then evaluated using the finite element method magnetics to study the flux distribution in the MRF area. The current was varied from 0.25 to 0.75 A by an interval of 0.25 A. The magnetic flux resulted from the simulation was then logged and used as the based value for predicting the change of shear yield stress. The base properties of the shear yield stress of the MRF against the magnetic flux was obtained from previous experimental result. Therefore, it was hopefully the prediction could be closed to the real system. Based on the simulation result, the shear yield stress varied from 43 to 49 Mpa or about 15 % increment. A simple experimental work was carried out. By applying particular direct current into the coil, the sound quality generated by the loudspeaker shows different values. Based on the preliminary experiment, the level of decibel decreased about 3 dB as the application of magnetic fields. The idea has been proven in this preliminary experimental evaluation.
Analysis review on linguistic steganalysis
Authors: Lokman Syiham Mohd , Mustapha Aida , Ismail Azizan , Din Roshidi
Published: February 2020

Steganography and steganalysis are essential topics for hiding information. Steganography is a technique of conceal secret messages by transmitting data through different domains. Its objective is to avoid discovery of secret messages. Steganalysis, meanwhile, is a method for locating the secret messages contained in the stego text. The objective of steganalysis is to find concealed data and to break the security of its domains. Steganalysis can be categorized into two types: targeted steganalysis and blind steganalysis. Steganography and steganalysis both have domains that are split into natural, also known as linguistic and digital media. There are three kinds of digital media which are picture, video and audio. The aim of this paper is to provide a survey on different linguistic steganalysis techniques used to find secret messages. This paper also highlighted two type of steganalysis method that are used in research and real practice. The discussion include findings on the most recent work on linguistic steganalysis techniques. This review hoped to help future research for improving and enhancing steganalytic capabilities.
Vascular dementia classification based on hilbert huang transform as feature extractor
Authors: Shafiqa Wan Musa Wan Siti Nur , Ibrahim Shapiai Mohd , Fauzi Hilman , Abdul Aziz Aznida Firzah
Published: February 2020

Impairment of cognitive and working memory after stroke was common. Vascular dementia (VaD) was a prevalent type of dementia that was caused by an impaired blood supply to the brain because of a series of small strokes. Electroencephalogram (EEG) gives information about brain status and activity, so it had a lot of potential to be used in diagnosing people with dementia. Since the EEG signal is extremely non-linear and non-stationary data, traditional Fourier analysis such as Fast Fourier Transform (FFT) that broadens sinusoidal signals cannot describe the amplitude contribution of each frequency value in specific time. Meanwhile, Hilbert Huang Transform (HHT) was based on the characteristic local time scale of the signal, it can efficiently obtain instantaneous frequency and instantaneous amplitude for nonstationary and nonlinear data. In this paper, HHT was employed as feature extraction method to extract the energy features of frequency bands from post stroke patients and healthy subjects. The extracted features were fed into extreme learning machine (ELM) for classifying post stroke patient with VaD and healthy subjects. The results of classification accuracy using HHT as feature extractor and FFT as feature extractor were compared. The mean accuracy of classification using HHT was 59.14%, respectively, while mean accuracy of classification using FFT was 94.4%, respectively, in classifying post stroke patient with VaD and healthy subjects.
Evaluation and calculations of modes resonant cantilever for laser optical fiber assembly
Authors: Ali Mohanad H.
Published: February 2020

Biosensors depend on cantilevers have developed a promising tool for detecting biomedical, optical laser communication and many fields of interactions with high accuracy. We modeled the operation of cantilevers with two magnetic and coil using Ansys program. This simulation technique can capably be used to select the appropriate design and dimensions of cantilever with the geometry of system. The primary main of the magnetic design is to improve the geometry of the coil and shape to yield a highly uniform for 3D of optical fiber includes Silica Glass and  Nickel cantilever, two magnets and one coil that apply to force on the cantilever cylinder is using as a cantilever in the designing of this case.In conclusion,resonant frequency(  tuning applying cantilivier presented in the resracher have larger variable range by using 2-magnets with the coil.However,the adjusting of the system and changing the deminsions.Resolutions to this problematic contain tuning the modes of resonant frequency to produce by cantilivier with  2-magnets and coil when the signal  pass from  laser source. Based on these simulations and characterization results, the proposed assembly can be a good applicant for evolving a low price, high material platform for many biological, laser optical fiber, communication, machine learning, biosensors and biomedical applications.
The influence of solar power and solar flux on the efficiency of polycrystalline photovoltaics installed close to a river
Authors: Njok Armstrong O. , Kamgba Ferdinand A. , Panjwani Manoj Kumar , Mangi Fareed H
Published: February 2020

There is an increasing focus on utilizing the renewable energy resources, especially solar energy as the fossils are expected to deplete in near future. Solar Photovoltaics have remained of particular interest because of their relative lower overall efficiencies .Most researchers are trying to enhance the overall performance of Solar Photovoltaic and trying to study factor that may possible lead to an increase in the overall performance of a Solar Photovoltaic Panels. A thorough investigation was carried out to study the influence of solar power and solar flux on the performance parameters of Photovoltaic (Polycrystalline). The data used in the research was obtained by in-situ measurement approach using an SM206 precision digital solar power meter, a digital solar flux meter, and an M890C+ digital Multimeter. The result obtained shows an interesting correlation for current, efficiency and solar power as well as for solar flux which indicates that high solar power and solar flux positively enhances the performance of the photovoltaic. The results also reveal that once the solar power or solar flux reaching the photovoltaic exceeds 200W/m2 or 20Klux, the voltage from the photovoltaic approaches maximum and remains fairly stable irrespective of the amount of solar power or solar flux reaching the photovoltaic. The data collected for three months, July, August and September shows prediction efficiency of 87 %, 63% and 71% at 11:30am, 12:30 pm and 10:30 am respectively.
Decentralized constrained optimal control of the multimachine power system stability improvement
Authors: Abakar Djibrine , Abouelsoud A A , Saulo Michael Juma , Sitati Simiyu Stanley
Published: February 2020

The paper proposes, a decentralized constrained optimal control of the multimachine power system stability. Today’s power network conditions, operating closer to their limits. Alternative Current power grids are more vulnerable and subject to instability than ever before. A three machine power system and four machines, power system connected with a transmission line lossy. Nonlinear controllers are more complex structure and inflexible to be used in practice paralleled with a linear controller. The linearized dynamical equations of the multimachine power system are near to an equilibrium point and it can be stabilized by using a decentralized constrained controller based on optimal control. The feedback controller, which comprises independent control stations receives the measurement data and influences the control input of the machine is only attached to the subsystems. State feedback controller guarantees the closed-loop system is asymptotically stable can guarantee the performance index. It bases designed controlled systems on the algebraic Riccati equations and all its poles are in the closed left half-plane. Decentralized constrained optimal control of the multimachine power system is achieved through simulation of the results. This achievement of results is proposed by improves power system stability.
A malicious URLs detection system using optimization and machine learning classifiers
Authors: Lee Ong Vienna , Heryanto Ahmad , Ab Razak Mohd Faizal , Raffei Anis Farihan Mat , Eh Phon Danakorn Nincarean , Kasim Shahreen , Sutikno Tole
Published: February 2020

The openness of the World Wide Web (Web) has become more exposed to cyber-attacks. An attacker performs the cyber-attacks on Web using malware Uniform Resource Locators (URLs) since it widely used by internet users. Therefore, a significant approach is required to detect malicious URLs and identify their nature attack. This study aims to assess the efficiency of the machine learning approach to detect and identify malicious URLs. In this study, we applied features optimization approaches by using a bio-inspired algorithm for selecting significant URL features which able to detect malicious URLs applications. By using machine learning approach with static analysis technique is used for detecting malicious URLs applications. Based on this combination as well as significant features, this paper shows promising results with higher detection accuracy.  The bio-inspired algorithm: particle swarm optimization (PSO) is used to optimized URLs features. In detecting malicious URLs, it shows that naïve Bayes and support vector machine (SVM) are able to achieve high detection accuracy with rate value of 99%, using URL as a feature.
Prediction of energy consumption using recurrent neural networks (RNN) and nonlinear autoregressive neural network with external input (NARX)
Authors: Zafri Wan Yahaya Wan Muhammad , Kamaru Zaman Fadhlan Hafizhelmi , Abdul Latip Mohd Fuad
Published: February 2020

Recurrent Neural Networks (RNN) and Nonlinear Autoregressive Neural Network with External Input (NARX) are recently applied in predicting energy consumption. Energy consumption prediction for depth analysis of how electrical energy consumption is managed on Tower 2 Engineering Building is critical in order to reduce the energy usage and the operational cost. Prediction of energy consumption in this building will bring great benefits to the Faculty of Electrical Engineering UiTM Shah Alam. In this work, we present the comparative study on the performance of prediction of energy consumption in Tower 2 Engineering Building using RNN and NARX method. The model of RNN and NARX are trained using data collected using smart meters installed inside the building. The results after training and testing using RNN and NARX show that by using the recorded data we can accurately predict the energy consumption in the building. We also show that RNN model trained with normalized data performs better than NARX model.