bluuebunny/crossref_metadata_2025 huggingface dataset:
Generating mechanical and optomechanical entanglement via pulsed interaction and measurement
Authors: Clarke J , Sahium P , Khosla K E , Pikovski I , Kim M S , Vanner M R
Published: June 2020

Entanglement generation at a macroscopic scale offers an exciting avenue to develop new quantum technologies and study fundamental physics on a tabletop. Cavity quantum optomechanics provides an ideal platform to generate and exploit such phenomena owing to the precision of quantum optics combined with recent experimental advances in optomechanical devices. In this work, we propose schemes operating outside the resolved-sideband regime, to prepare and verify both optical–mechanical and mechanical–mechanical entanglement. Our schemes employ pulsed interactions with a duration much less than the mechanical period and, together with homodyne measurements, can both generate and characterize these types of entanglement. To improve the performance of our schemes, a precooling stage comprising prior pulses can be utilized to increase the amount of entanglement prepared, and local optical squeezers may be used to provide resilience against open-system dynamics. The entanglement generated by our schemes is quantified using the logarithmic negativity and is analysed with respect to the strength of the pulsed optomechanical interactions for realistic experimental scenarios including mechanical decoherence and optical loss. Two separate schemes for mechanical entanglement generation are introduced and compared: one scheme based on an optical interferometric design, and the other comprising sequential optomechanical interactions. The pulsed nature of our protocols provides more direct access to these quantum correlations in the time domain, with applications including quantum metrology and tests of quantum decoherence. By considering a parameter set based on recent experiments, the feasibility to generate significant entanglement with our schemes, even with large optical losses, is demonstrated.
Soliton molecules and dynamics of the smooth positon for the Gerdjikov–Ivanov equation*
Authors: Yang Xiangyu , Zhang Zhao , Li Biao
Published: June 2020

Soliton molecules are firstly obtained by velocity resonance for the Gerdjikov–Ivanov equation, and n-order smooth positon solutions for the Gerdjikov–Ivanov equation are generated by means of the general determinant expression of n-soliton solution. The dynamics of the smooth positons of the Gerdjikov–Ivanov equation are discussed using the decomposition of the modulus square, the trajectories and time-dependent “phase shifts” of positons after the collision can be described approximately. Additionally, some novel hybrid solutions consisting solitons and positons are presented and their rather complicated dynamics are revealed.
Ultra-wideband linear-to-circular polarization conversion metasurface*
Authors: Lin Bao-Qin , Lv Lin-Tao , Guo Jian-Xin , Wang Zu-Liang , Huang Shi-Qi , Wang Yan-Wen
Published: June 2020

An ultra-wideband and high-efficiency reflective linear-to-circular polarization conversion metasurface is proposed. The proposed metasurface is composed of a square array of a corner-truncated square patch printed on grounded dielectric substrate and covered with a dielectric layer, which is an orthotropic anisotropic structure with a pair of mutually perpendicular symmetric axes u and v along the directions with the tilt angles of ±45° with respect to the vertical y axis. When the u- and v-polarized waves are incident on the proposed metasurface, the phase difference between the two reflection coefficients is close to –90° in an ultra-wide frequency band, so it can realize high-efficiency and ultra-wideband LTC polarization conversion under both x- and y-polarized incidences in this band. The proposed polarization conversion metasurface is simulated and measured. Both the simulated and measured results show that the axial ratio (AR) of the reflected wave is kept below 3 dB in the ultra-wide frequency band of 5.87 GHz–21.13 GHz, which is corresponding to a relative bandwidth of 113%; moreover, the polarization conversion rate (PCR) can be kept larger than 99% in a frequency range of 8.08 GHz–20.92 GHz.
A double-layer heating method to generate high temperature in a two-stage multi-anvil apparatus*
Authors: Peng Bo , Kou Zili , Zhao Mengxi , Jiang Mingli , Zhang Jiawei , Wang Yipeng , Zhang Lu
Published: June 2020

A new heating method is proposed to increase the cell temperature of the 6–8 type multi-anvil apparatus without reducing the volume of the sample chamber. The double-layer heater assembly (DHA) has two layers of heaters connected in parallel. The temperature of the cell was able to reach 2500 °C by using 0.025 mm rhenium foils, and the temperature limit was increased by 25% compared with that of the traditional single-layer assembly. The power–temperature relationships for these two assemblies with different sizes were calibrated by using W/Re thermocouple at 20 GPa. When the volume of samples was the same, the DHA not only attained higher temperature, but also kept the holding time longer, compared to the traditional assembly. The results of more than ten experiments showed that the new 10/4 DHA with a relatively large sample size (2 mm in diameter and 4 mm in height) can work stably with the center temperature of the sample cavity exceeding 2300 °C under the pressure of 20 GPa.
Dynamics and coherence resonance in a thermosensitive neuron driven by photocurrent*
Authors: Xu Ying , Liu Minghua , Zhu Zhigang , Ma Jun
Published: June 2020

A feasible neuron model can be effective to estimate the mode transition in neural activities in a complex electromagnetic environment. When neurons are exposed to electromagnetic field, the continuous magnetization and polarization can generate nonlinear effect on the exchange and propagation of ions in the cell, and then the firing patterns can be regulated completely. The conductivity of ion channels can be affected by the temperature and the channel current is adjusted for regulating the excitability of neurons. In this paper, a phototube and a thermistor are used to the functions of neural circuit. The phototube is used to capture external illumination for energy injection, and a continuous signal source is obtained. The thermistor is used to percept the changes of temperature, and the channel current is changed to adjust the excitability of neuron. This functional neural circuit can encode the external heat (temperature) and illumination excitation, and the dynamics of neural activities is investigated in detail. The photocurrent generated in the phototube can be used as a signal source for the neural circuit, and the thermistor is used to estimate the conduction dependence on the temperature for neurons under heat effect. Bifurcation analysis and Hamilton energy are calculated to explore the mode selection. It is found that complete dynamical properties of biological neurons can be reproduced in spiking, bursting, and chaotic firing when the phototube is activated as voltage source. The functional neural circuit mainly presents spiking states when the photocurrent is handled as a stable current source. Gaussian white noise is imposed to detect the occurrence of coherence resonance. This neural circuit can provide possible guidance for investigating dynamics of neural networks and potential application in designing sensitive sensors.
Compact microstrip monopole antenna with Enhanced Gain using Artificial Magnetic Conductor (AMC)
Authors: Abu M. , Ali S. A. Md. , Asha’ri H.
Published: June 2020

This paper presents the performance of a microstrip monopole antenna with and without an Artificial Magnetic Conductor (AMC). The antenna and AMC structures are designed at 2.45 GHz using Rogers RO3003 and RT5880 respectively. The thickness of the substrate of the antenna is 1.52 mm and the permittivity are 3. For the AMC, the thickness and the permittivity of the substrate are 3.18 mm and 2.2. The designed antenna has a hexagonal shape, and it is grounded by 3x3 AMC array. From the simulated results, it is found that integrating the AMC structure to the printed monopole antenna was significantly improved the gain and directivity of the antenna. With the AMC, the achieved gain is 6.54 dB, which exhibited 3.68 dB of increment. This antenna has high gain, as it has both high radiation efficiency and directivity. Its directivity increased from 3.01 dBi to 7.14 dBi. The measured results are in align with the simulated results. The antenna still operate at the desired frequency. The recorded measured gain is 5.33 dB, with 20.3 dB return loss at 2.4 GHz. Thus, the design of the monopole antenna with the AMC is suitable as a RFID tag, because it can improve the RFID reading distance.
Performance analysis of NOMA using different coding techniques
Authors: Syarhan Idris Mohd , Mohd Ali Darmawaty , Idora Abdul Razak Nur , Idris Azlina , Ahmad Hasyimah
Published: June 2020

To date, Non-Orthogonal Multiple Access (NOMA) is the best and most compatible technique to support for the incoming Fifth Generation (5G). However, the NOMA performance is affected by noise, interference and poor signal strength during transmission. Channel coding is required to correct transmission errors due to error propagation, Therefore, channel coding is an important technique that can detect and correct errors at the receiver side. This paper analyses the performance comparison of different channel coding schemes in order to suggest the optimum channel coding scheme for the 5G mobile communication system. The Bit Error Rate (BER) is being evaluated to assure that better performance can be achieved. The simulation was done using The Vienna 5G Link Level Simulator (LLS). The result of BER shows that LDPC perform better than Turbo and Convolutional which is 3.4×10−1 for cell centred user and 4×10−2 for cell-edge user.
A comprehensive study of vehicle communication framework in Malaysia
Authors: Yogarayan Sumendra , Fatimah Abdul Razak Siti , Azman Afizan , Fikri Azli Abdullah Mohd , Jai Raman Kirbana , Sonai Muthu Kalaiarasi , Zainab Ibrahim Siti
Published: June 2020

In the sector of transportation, vehicle to vehicle communication and vehicle to infrastructure communication are becoming a trending topic of studies, as effective information transfer is required for most critical systems. Many protocols were then suggested with better coverage and small end to end delay in restricted bandwidth for data communication purposes. Research on some of the wireless communication technologies are carried out in this paper. The aim of this paper is to define various wireless communication technologies that emerged in the literature and to disclose the possibilities attained once this approach has been applied.
Lab-On-Chip, Internet of Things, Analytics and Health Care 4.0: A synergistic future forward
Authors: Narayanamurthy Vigneswaran , Bhuvaneshwari K.S. , Jeroish Z.E. , Samsuri Fahmi
Published: June 2020

In this era of the internet with the latest technology and rapid communication, the various fields of processes and business are led to the road of automation in recent days. The major part of this automation is that they help in the cost reduction with increased safety measures and also results in absolute portability of the equipment. To indulge in continuous processing, and also to identify the best technology, the analytical methods must be directly involved in decision making. This revolution in analytical methods is named as Analytics 4.0, which has a significant role in healthcare and diagnostics. The self-assessment and decentralization of the data acquiring can be motivated with the help of the microfluidic biosensors and biochip. It also helps in the immediate access of the information without resulting in delay. Diagnostic 4.0 helps in storing the patient details as cloud files providing high security and also analyze them through the deep learning algorithms. It also helps in constant monitoring on a broad scale and reliable assessment through monitoring apps that can shift the health care efficiency to the next notch. Hence the evolution of the healthcare sector has multiple generations listed with numerous advances which stand as the boon in this era.
Optimal control of inverted pendulum on cart system
Authors: Sambo A U , Bala Faisal S. , Tahir Nura M , Babawuro A Y
Published: June 2020

In this paper, a PID and PID-liked fuzzy logic controller is designed for optimal control of inverted pendulum. An inverted pendulum is highly a nonlinear and unstable system. Thus, in this paper, the system is modeled, linearized and controlled. The control objective is to keep the pendulum in an upright position despite external disturbances. The stability analysis of the system is performed, which proves the instability of the system. Two separate controllers were developed to cater for the nonlinear behavior of the system. In the PID controller, the PID gains were fine-tuned through trial and error in MATLAB to obtain optimal control of the system. On the other hand, fuzzy logic is used to tune the PID in the PID-like fuzzy logic controller. Control performances of the system by PID and PID-like fuzzy control method were compared. The result indicated PID-like fuzzy control method performs better in respect of rise time, settling time, peak overshoot and steady-state error.
A study of low-cost vehicle collision prevention assistance
Authors: Yogarayan Sumendra , Fatimah Abdul Razak Siti , Azman Afizan , Fikri Azli Abdullah Mohd , Jai Raman Kirbana , Zainab Ibrahim Siti
Published: June 2020

This paper defines a low-cost tool for calculating the distance from a vehicle to the front. The motive of this study is to define a method for range estimation of vehicles with small price application, particularly in Malaysia. The measuring tool utilizes an ultrasonic sensor and a raspberry pi to determine the range. In addition, the data is stored in Firebase in real-time. The tool is evaluated in real-time, and all outcomes are tabulated. Finally, the study results underline that the measuring tool is possible, but economic variables and communication are of concerns.
Bridge multiple split ring resonator sensor for microwave liquid characterization
Authors: Mohd Azize Aziean , Azuan Mohd Bahar Amyrul , Haszerila Wan Hassan Wan , Zakaria Zahriladha , Alahnomi Rammah A. , Hakim Abdul Hamid Mohd
Published: June 2020

A planar bridge multiple split-ring resonators (BMSRR) with a microfluidic sensor is a real-time nondestructive sensor designed based on bridge split ring topology. This sensor has the ability to characterize liquid solvents using the extraction of polynomial fitting technique and bridge connector elements were added to enhance the quality factor and sensitivity. The characterization of liquid samples is analysed and numerically expressed based on their dielectric properties and loss tangent with a minimum volume of samples. The unloaded Q-factor improves more than 400 over the bandwidth at an operating frequency of 2.3 GHz.
Stress recognition using Electroencephalogram (EEG) signal
Authors: TuerxunWaili  , Sa’ad Alshebly Yousif , Azami Sidek Khairul , Md Johar Md Gapar
Published: June 2020

The electroencephalogram (EEG) is a device for measuring the electrical activity of the brain; it has the ability to detect the waves at various frequencies. The device uses a small electrode to record the measurements. The EEG waves can be used to detect many activities in the brain, such as stress. This study identifies stress using EEG signals. Stress causes a certain range of frequencies in the range to change their activities, in which the changes can be analyzed. Test results were filtered properly, and the frequency bands measured. The data shows the difference in the ratio of beta waves and alpha waves in the brain as a result of stress. The changes in the ratio will be able to show the degree of stress encountered.
Occupancy grid map algorithm with neural network using array of infrared sensors
Authors: Yatim N A , Buniyamin N , Noh Z M , Othman N A
Published: June 2020

Occupancy grid map is a map representation that shows the occupancy of spaces, whether there is any object in a particular area or it is a free space. This map representation is also commonly known as a grid map. However, the accuracy of the occupancy grid map is highly dependent on the accuracy of the sensors. In this paper, low cost and noisy sensors such as infrared sensors were used with the occupancy grid map algorithm integrated with a neural network. The neural network was used to interpret adjacent sensor measurements into cell’s occupancy value in the grid map. From the simulation experiments, it is observed that, that neural network-integrated algorithm has a better map estimate throughout robot’s navigation with mean of 28% more accurate compared to occupancy grid map algorithm without neural network. This finding is beneficial for implementation with simultaneous localization and mapping or commonly known as SLAM problem. This is because SLAM algorithm makes use of both estimations of environment’s map and robot’s state. Thus, a better map estimate throughout the robot’s journey can improve a robot’s state estimate as well.
Stop hunt detection using indicators and expert advisors in the forex market
Authors: Noertjahyana A , Christopher A , Abas Z A , Yusoh Z I M , Setiawan A
Published: June 2020

Foreign exchange trading activities are one of the businesses that can generate big profits, and provide freedom for business people without the need to provide a large capital. Traders often suffer losses due to uncertainty in the market. One of them is market manipulation carried out by brokers or banks. For this reason, this research was conducted to detect any manipulation that occurred in the foreign exchange market. This research tries to combine trading systems, indicators and expert advisors that aim to help traders detect fake market price movements to minimize losses that occur due to errors in making transaction decisions. The results of the study produce an indicator that is able to detect the potential of certain patterns used by the market maker to reverse the direction of market prices and is supported by the presence of expert advisors who are able to pinpoint potential market manipulation, so traders can avoid large losses.
Virtual application technology of citizen journalism based on mobile user experience
Authors: Setiawan Alexander , Prijana Hadi Ido , Yoanita Desi , Aritonang Agusly I.
Published: June 2020

At present, the development of citizen journalism in the era of globalization and information technology is increasingly developing because of the presence of the internet and application technology that are in demand by readers and writers to develop their potential. The technology that is developing at this time is to use an Android technology mobile application that is very supportive of its operation. However, Citizen Journalism must be careful in using and filtering information from irresponsible blogs so that they can deceive the informant and easily incite an information that has not been proven by the truth of the news. Therefore, this research will make a citizen journalism application based on mobile technology in the platform of an Android and AJAX programming mobile. The results of the research show that the Mobile Technology Citizen Journalism application can be tested by sending or accessing news or information content on the server using a GPRS connection. Tests carried out include features, reliability, suitability, easy to use, and perception of the quality of this Mobile application.
A Digital Calibration Method for a MEMS Accelerometer based on Harmonic Self-Test
Authors: Chen Dongliang , Liu Xiaowei , Yin Liang , QiangFu
Published: June 2020

This paper proposes a digital calibration method for electromechanical closed-loop MEMS accelerometer. The method based on a harmonic self-test mechanism, in which the MEMS structure is excited by an on-chip generated electrostatic force and the corresponding harmonic distortion could be captured and analysed as an indicator of structure mismatch. According the harmonic distortion level, the mismatch could be calibrated out by the electrical signal on-chip. The whole exciting and calibrating procedure is realized in digital domain. Thus, not only the area and power consumption are reduced, but also the flexibility and robustness of the procedure is enhanced.
Security Systems to Preventing Misbehavior Among Football Fans in Malaysia: How Effective It Is?
Authors: Yusoff Nur Hafizah , Tahir Zurinah , Hamzah Shahidah
Published: June 2020

Issue on football fans in not new, since decades many researches has been debate on it. Hooliganism, violence and aggression always fall into the debates. Although Malaysia national football team is not on top ranking of the world, but the local league has big supporters here. They are numbers of fans involved with misbehavior while at the stadium. The objective of the paper is to determine on how effective of security systems to prevent misbehavior among football fans in Malaysia. A survey was conducted at the fourth different stadiums. A total of 600 football fans were participated as respondents. The results show that the existence of security systems in Malaysia stadium still not really effective to prevent misbehavior among the fans. Smuggling prohibited items, no holistic body check and numbers of violence fan arrested is very low. In order to make sure football is safe to watch for everyone, the security systems need to enhance. The state football management and the Football Association of Malaysia (FAM) need to collaborate on improving the security systems at the stadium.
Spiral-Phased Laguerre-Gaussian Modes Generation in SWDM over Few Mode Fiber based on Electrical Equalization
Authors: Ghazi Alaan , Fareed Alaa , Masunda Tendai , Aljunid S. A. , Idrus Syed Zulkarnain Syed , Amphawan Angela , Al-dawoodi Aras , Rashidi C. B. M , Fadhel Ibrahim Eskandar Ibrahim
Published: June 2020

Space division multiplexing, in conjunction with wavelength division multiplexing, is a powerful mechanism that increases spatial channels significantly in a single optical fiber. Spiral Phased-Laguerre-Gaussian (SP-LG) modes indicate that they effectively reduce mode coupling, thereby increasing the channel response and performance positively. However, mode-coupling influence optical fiber system leads to inter-symbol interference (ISI) between the channels and reduces both capacity and distance. In this paper, we apply the SP-LG modes in a space wavelength division multiplexing over a few-mode fiber system. The results demonstrate significant improvements in reducing channels effects and ISI. The performance evaluations are based on the bit-error-rate (BER), eye diagram and spectrum analyzer.
The new Convolutional Neural Network (CNN) local feature extractor for automated badminton action recognition on vision based data
Authors: Rahmad N A , As’ari M A
Published: June 2020

Automated action recognition is useful for improving the performance of the athletes through notational analysis. The notational analysis is usually used by the coach or notational analyst to study the movement patterns, strategy and tactics. Therefore, action recognition is the main key before further analysis can be done. This paper focused on developing an automated badminton action recognition using vision based dataset. 1496 badminton match image frames of 5 actions were studied – smash, clear, drop, net shot and lift. At first, the dataset was classified into 0.8:0.2 for training and testing the classification task by machine learning. Secondly, features of the training dataset were extracted using the Alexnet Convolutional Neural Network (CNN) model. In extracting the features, we introduced the new local feature extractor technique that extracts features at the fc8 layer. After collecting all the features at the fc8 layer, features were being classified by using machine learning classifier which is linear Support Vector Machine (SVM). The experiment was repeated using a normal global feature extractor technique. Lastly, both of the new local and global feature extractor techniques were repeated using GoogleNet CNN model to compare the performance between AlexNet and GoogleNet model. The results show that the new local feature extractor using AlexNet CNN model has the best performance accuracy which is 82.0%.
Effect of Biomet Recap Diameter and Clearance on Friction and Lubrication Behaviour Using Serum-Based Lubricants
Authors: Abdul Jamil M.M. , Abd Wahab M.M. , Soon C.F. , Youseffi M.
Published: June 2020

The friction and lubrication behaviour of six Biomet ReCap components with nominal diameters of 46, 48, 50, 52, 54 and 56 mm and diametral clearances in the range 66-314μm have been investigated using a friction hip simulator. Friction testing was carried out using pure bovine serum (BS) and aqueous solutions of BS with and without carboxymethyl cellulose (CMC), adjusted to a range of viscosities (0.001-0.24 Pas). The Stribeck analyses suggested mixed lubrication as the dominant mode for all the ReCaps, but depending on the diameter and mainly clearance, the ReCaps articulated at different range of friction factors within the as mentioned viscosity range. The 56 and 54mm ReCaps with 233μm clearances had lower friction factors in the range 0.0311-0.079 and 0.053-0.11, respectively, as compared to the 46mm ReCap with 66μm clearance having friction factors in the range 0.0915-0.1558. The Stribeck curves showed the lowest achievable friction factors for clearances of greater than 150μm and less than 240μm. The 50mm ReCap with the highest clearance of 314μm had the highest friction factors in the range 0.1277-0.1515 suggesting that this clearance cannot be considered as the optimum gap between the bearings.
Performance and Usability Testing for Online FYP System
Authors: Che Kar S A , Ismail S I , Abdullah R , Mohamed H , Enzai N I Md
Published: June 2020

Online management systems have been progressively developed and adopted by most management in higher learning institutions, schools, and offices in the public and private sectors as well as in business management. The developed system can facilitate all process management and thereby benefit many organizations and individuals involved. But before applying a system, usability testing should be made so that all the problems and errors can be identified prior to implementation. This paper analyzes the survey results about the usability of an online management system which is currently being developed: Online Project Evaluation and Supervision System (oPENs). Currently the system has partially developed a few processes in managing FYP such as submission of project approval forms, weekly reporting management process, and group registration process. For the next step, response from system users is needed so that this system can be completed better by fulfilling the features required by all users in addition to identifying problems that could arise before this system is implemented. To identify the system performance and to obtain lecturers’ responses about this system, a usability test is carried out where lecturers need to explore the system practically and answer the questionnaire in the end. There are three usability testing components that have been highlighted in the survey questions i.e. system appearance and interface, user-friendliness and system efficiency. During the system testing, Think Aloud method has been applied whereby the respondents are free to give any comment or suggestion for the system improvement. Most of the respondents strongly agree that this developed system can assist in the FYP supervisory process and also greatly assist coordinators in ensuring the FYP process runs smoothly. There is also a few suggestions that has been listed for the system’s improvement.
Evaluation of the Kundasang Ground Movement based on Geological, Geotechnical Investigations and Stability Modelling
Authors: Omar Syed , Mohamed Zainab , Jais Ismacahyadi Bagus M
Published: June 2020

Kundasang is located in a geohazard zone that consists of two active major regional faults and weak geomaterials with highly weathered, jointed and fractured rock. The existence of active faults are considered as one of the factors which influence the occurrence of large ground movement in the Kundasang area. Kg Lembah Permai which is located adjacent to the Kundasang town is one of the critical affected areas by progressively ground movement that had caused significant destruction to the permanent structures and infrastructures that lead to economic loss to the government and residents, respectively. This paper describes past and new data, and also the outcomes that have been integrated to redefine and update the ground instability mechanism in Kg Lembah Permai. Two new approaches of mapping have been applied. The first is remote mapping which involved detection and interpretation of local faults using Digital Terrain Model (DTM) derived from Lidar image. The second is on-site mapping of geodynamic features in the field using 3D approach. Results showed that most of the destruction exhibited towards +Y and -Z direction which represent the movement towards northeast and vertical downward respectively. From landslide modelling, the rate of displacement, geometry of the sliding surface and the current stability condition of the landslide can be quantified. It is expected that with detailed and comprehensive knowledge, a suitable design of geotechnical solution at difficult ground can be conducted accurately and objectively which eventually could promote sustainable development and enhancing public safety in the Kundasang area.
m-Naslada: A mobile application for black pepper crop disease information
Authors: Shafinah K , Sahari N , Sulaiman R , Saif AFMS , Ikram MM
Published: June 2020

This paper presented a mobile application to be used for agricultural advancement. The criteria needed for the development of a mobile application are described. A mobile application known as m-Naslada was also proposed and highlighted. m-Naslada is a mobile application prototype developed for agricultural purposes. m-Naslada is specifically aimed at providing information concerning black pepper crop diseases. m-Naslada is expected to effectively support black pepper crop farmers by meeting their requirements and providing necessary information in relation to diseases that may affect their crops. Feedback received from the evaluation conducted towards m-Naslada was positive. The work projected herein might be used as a baseline to aid in the continuation of various research scopes within the agricultural sector.
Partial Robust M-Regression Estimator in the Presence of Multicollinearity and Vertical Outliers
Authors: Noh Nur Hidayah Md , Moktar Balkiah , Yusoff Sarah , Majid Mohd Noh Ab
Published: June 2020

The objective of using regression is to explain the variation in one or more response variables by associating the variation with proportional variation in one or more explanatory variables. However, if the number of independent variables is multiple, they tend to be highly collinear and this contributes to multicollinearity problem. For instance, Ridge Regression (RR), Principal Component Regression (PCR), and Partial Least Squares Regression (PLSR) are some of the prediction methods used to handle dataset with multicollinearity. In addition, another problem that arises is the existence of outlying objects in a dataset. The effect of outlying data points in the presence of multicollinearity problem could be reduced with the implementation of robust regression method. A recently studied robust PLSR, which is called Partial Robust M-Regression (PRM) is found to be able in dealing with multicollinearity and outliers simultaneously. This method was employed in this study. Throughout this study, five methods of regression were chosen; OLS, RR, PCR, PLSR, and PRM, to compare which is the best method in their predictive ability. To compare these five regression methods, a simulation study had been conducted, and the mean square error of β estimate (MSE(β)) was calculated. The simulation results show that PRM outperforms other method in the presence of multicollinearity, outliers and leverage points.
A Design of Smart IoT-Based College Room Using Arduino
Authors: Mahzan Najwa Nasuha , Wahid Nurbaiti , Zin Nooradzianie Muhammad , Enzai Nur Idawati Md , Noh Ku Siti Syahidah Ku Mohd , Omar Suziana , Zin Mazratul Firdaus Mohd , Redzwan Fatimah Nur Mohd , Radzuan Muhammad Hilman Irfan , Zamri Muhammad Afwan Muhammad , Salleh Muhammad Aliff Md
Published: June 2020

Electrical appliances and local switches can be controlled distantly by utilizing the Internet of Things (IoTs) communication protocols. Those devices can be accessed and operated through mobile phones. A smart college room is one of the applications in smart campus which worked by means of Wi-Fi existence for distant observing of electrical devices or switches in the particular room. Hence, this paper describes the project’s design and development based on IoTs by implementation of Arduino. The project applies Arduino MEGA 2560 board in conjunction with ATmega2560 chip. The main controller (ATmega2560) is used to connect the board with Wi-Fi module as well as to control DC motor, servo motor and LED in the project. The inputs need to be controlled in the room are lights, fan, sliding door and curtain. Since internet is the sub-core to this project, it helps the project system to acknowledge what user has decided in their mobile phones. For instance, when user wants to turn light in the room, he can simply do it by touching the respective button in the mobile phones. The project is purposely designed for preventing electricity wastage among students which usually happens in colleges. Besides, it promotes accident-free environment while operating the electrical appliances or switches in the room.
Deposition and characterization of amorphous carbon thin film by thermal CVD
Authors: Kamaruzaman Dayana , Rosly Muhammad Aliff , Annuar Ishak , Ahmad Nurfadzilah , Mahmood Mohamad Rusop
Published: June 2020

Amorphous carbon-based material has attracted a considerable attention for optoelectronic and photovoltaic applications. This remarkable element has expected to have similar properties as silicon and highly stable. This work is focused on the deposition conditions of amorphous carbon thin film for optoelectronic and photovoltaic application. However, amorphous carbon has a complicated structure and high density of defects. Due to the limited factors of the deposited amorphous carbon film, a doping process is required. The amorphous carbon and iodine doped amorphous carbon thin films were deposited on glass and silicon substrates by thermal chemical vapor deposition (CVD) technique using camphor oil as the precursor. The effect of doping temperature in the a-C and a-C:I thin films on electrical and optical properties were characterized. The conductivity of a-C:I thin films increased with the doping temperature at 450°C and it shows large photoconductivity. The photovoltaic behaviour was improved by doping the a-C with the iodine. Effective doping will encourage the future prospect of low cost, clean and high efficiency of carbon-based device.
Dynamic Switching in the Measurements’ Collecting from Heterogeneous Data Sources
Authors: Diván Mario , Sánchez Reynoso María L. , Wahab Mohd Helmy Abd
Published: June 2020

The Data Stream Processing Strategy (DSPS) focus on online data processing based on IoT environments. Because of the IoT devices are possibly heterogeneous between them, the data gathering is coordinated through a measurement adapter (MA), who is responsible for data transmission to the data processor. In this work, measures’ indirect transmission is incorporated through measurement adapters, promoting cooperative behaviour and the interaction between them. This extends DSPS allowing direct and indirect data collecting. The new states and process view are analysed in terms of the MA. An enveloping strategy is introduced for verifying the data integrity in the transmission path. A simulation was carried out around the generated overhead with this kind of strategy in the MAs. A mean-time of 5.781 ms is obtained as overhead, which makes it feasible of application, considering that in another way the data would be lost, and the MA becomes uncommunicated.
Cyber-Bullying Trends Using Social Media Platform: An Analysis through Malaysian Perspectives
Authors: Johanis Mohd Arsad , Bakar Amirul Ridzuan Abu , Ismail Fauziah
Published: June 2020

In modern era, existing technologies have gone through several phases of innovation and development in line with today’s demand. These changes in positive manners facilitate and ease us in many things that were previously thought difficult to solve. As these technologies progress, social media has emerged as one of many preferable platforms of communication in today’s society. However, in the light of today’s obsession with social media, society particularly tends to apprehends in negative cultures such as cyberbullying. In the past, bullying behavior occurred only at certain ages in certain places such as among teenagers, women, at work or school. At that time bullying could be seen either physically or verbally compared to today’s approach attributed significantly with the use of social media due to the modernization of technologies. Many psychoanalysis issues resulting from these irresponsible individuals throwing words at the cyberbullying victims are becoming a millennial disease. Evidences prove that there is no discrimination in cyberbullying as it applies to all individuals regardless of their status and background. Hence, it is time for the government to intervene and address this issues arising from the act of bullying.
A Review: Pap Smear Analysis Based on Image Processing Approach
Authors: Mustafa Wan Azani , Halim Afiqah , Jamlos Mohd Aminudin , Idrus Syed Zulkarnain Syed
Published: June 2020

Nowadays, in the hospital, cervical cancer is in the higher rank (number 2) of the most popular cancer among ladies in the world. This cancer develops in the woman’s cervix which the womb is the entrance. Mostly, doctors in the hospital having trouble to identify the cancer cell because the nucleus of the cell is sometimes slightly hard to observe with eyes. The nucleus of the normal cell is in a smaller size compared to the abnormal nucleus. The abnormal nucleus has a bigger size, which sometimes, the size cannot be identified accurately by seeing with bare eyes to classify the stages of cervical cancer. This is because every doctor has different perspectives to observe the classification of the stages of cancer by observing the nucleus without accurate dimensionality reduction in the accuracy of the classifier. Recently, many researchers proposed a method to detect and classify the Pap smear cell images for cervical cancer diagnosis. This approach may improve the accuracy of the detection and the classification which to show better performance with the balance data and samples precisely. Some of the patients got the result that they are on stage 2, however after re-testing, they actually on stage 4 which the chance to heal is very low. This happens because the doctor can’t find the accurate balance data and sample precisely. In this paper, a comprehensive review of cervical detection based on segmentation nucleus and classification was studied.
Dual-Band Frequency Antenna for Drone Application
Authors: Jamlos Mohd Aminudin , Mustafa Wan Azani , Idrus Syed Zulkarnain Syed , Fatin Nabila
Published: June 2020

Dual-band antenna is the main element for this project of unmanned aerial vehicle application. Previously, a frequency of 2.45 GHz is informed of linear polarization while the frequency of 1.575 GHz informed of circular polarization. Global Positioning System (GPS) applied towards the UAV use circular polarization with the antenna facing up for satellite connection and for Industrial Scientific and medical (ISM), the UAV use linear polarization where the antenna is facing down towards the ground to establish a connection with others electronic devices. Integrating both antennas into single antenna unit is challenging as it involves the characteristics of dual-band of frequencies and dual types of polarization where all the characteristics need to be fulfilled as a whole in order to be functioned as dual-band dual polarization antenna. Computer simulation software (CST) is used to design and optimize the antennas. Comparison is done among four designs of antennas designs which use microstrip feed line and proximity coupled feed to obtain the most efficient design to be applied at UAV for full operation. The best technique covered in order to fulfill all the requirements needed is proximity coupled feed. Design four is the best design because of the wide axial ratio bandwidth and efficiency is high.
A Review on Feature Extraction in Keystroke Dynamics
Authors: Yaacob Mohd Noorulfakhri , Idrus Syed Zulkarnain Syed , Ali Wan Nor Ashiqin Wan , Mustafa Wan Azani , Jamlos Mohd Aminudin , Wahab Mohd Helmy Abd
Published: June 2020

Feature extraction is an important process before an analysis of a data is carry out. Different behaviour of a user while using the keyboard is a feature that need to be identified in the Keystroke Dynamics (KD) study. Example are the difference between typing time between letters, typing speed and the force of a person pressing the keyboard. Past studies related to feature extraction for KD have been described in this paper. Various features that have been used are listed and the results of the study are compared. The results of this writing are expected to help new researchers in the process of evaluating KD.
Hybrid Animation: Implementation of Three-Dimensional (3D) Animation
Authors: Asraf Syed Muhammad Hazry , Idrus Syed Zulkarnain Syed
Published: June 2020

In the 21st century, much progress has been made following the industrial revolution 4.0. Therefore, the field of animation has also been injected into technological advances. The transmission of information is difficult to convey accurately and interactively to users. In providing users with more exposure and convenience in a more attractive and convenient way. Therefore, animation and motion capture are the best options for use today. As a result, the results of this project can have a huge impact on the animation industry in making video or animation more interesting 3D animation.
Malware Behaviour Analysis and Classification via Windows DLL and System Call
Authors: Rauf Mohammad Afiq Amirul Abdul , Asraf Syed Muhammad Hazry , Idrus Syed Zulkarnain Syed
Published: June 2020

Malware is refers to programs that purposely exploit computer systems’ vulnerabilities for harmful purposes. It may be categorized by identifying whether it needs a host program to function and whether it makes copies of itself. Malware is an instance of malicious code with the purpose to disrupt the function of system and has potential to destruct a computer or network [1]. Nowadays, computer malware has become more sophisticated, using advanced code obfuscation technique to resist antivirus detection. Classification of malware samples plays an important part in building and maintaining security. The style of a malware classification system capable of supporting an oversized set of samples and adaptable to model changes at runtime is needed to spot the high range of malware variants. It is a supervised learning technique that created a proper model that may justify class and sort out information into correspondent options based. The advantage of classification is it acceptable of the many individuals since heap of researcher using classification. Next, classification method is quicker and it more accurate.
ionFluid: Designing and Developing A Water Level Notification System
Authors: Hafit Hanayanti , Khazan Muhammad Mizan Noor , Razi Mohd Adib Mohammad , Yusof Munirah Mohd , Wahab Mohd Helmy Abd , Idrus Syed Zulkarnain Syed
Published: June 2020

The difficulties to access the information to retrieve the river’s water level status at the area of Sungai Sembrong causes the residents nearby to insensitive and complacent towards the threat of flood hazard that can occur in just in a matter of seconds and can destroy their property and also can cause the loss of life. ionFluid is an online water level notification system for Android based application that allow users to receive water level status of a river. Users can receive water level status by using mobile device either by SMS or Push Notification technology. This system will be The methodology used to develop this Android system is Evolutionary Prototyping model. Software technology used to develop this system is Ionic Framework where this technology uses web technology to develop mobile hybrid application. Database used for this system is MariaDB while programming language used to develop this system is PHP, AngularJS, HTML and SCSS. Hereby, developed system can increase the awareness of the public to be more cautious against environmental threats especially floods disaster.
An Efficient and Robust Antenna Combined with Electromagnetic Band-Gap Structure for Wearable Medical Application
Authors: Ashyap Adel Y.I. , Dahlan Samsul Haimi , Abidin Zuhairiah Zainal , Majid Huda A. , Shah Shaharil Mohd , Abd. Wahab Mohd Helmy , Idrus Syed Zulkarnain Syed
Published: June 2020

A low-profile and robust inversely E-shaped antenna (IESA) combined with electromagnetic band-gap (EBG) is introduced for wearable medical application at 2.4 GHz. It has an overall size of 46×46×2.4 mm3. The EBG presented in this research is to isolate the antenna from the body. Thus, the performance of the antenna is not affected by the body. Contrarily, it reveals better performance compared to antenna in free space. The numerical and experiment results show that the integrated design shows good performance under bending and loading the human body. Moreover, the gain and the bandwidth were improved by 7.8 dBi and 27%, respectively. In addition, the SAR values were complied with standard. The reduction is more than 90.
Jawi-AR Apps: Single Jawi Character Connecting Method to single words using AR Technology
Authors: Suhaimi Suhazlan Bin , Yatim Nurul Adha Binti Md , Wahab Mohd Helmy Abd , Idrus Syed Zulkarnain Syed
Published: June 2020

Jawi script is very important because the Jawi script position reflects the identity of the Malays and almost equals Arabic script which indirectly enables the reading of the Qur’an among those who study Jawi script. In addition, most sources of Islamic Education knowledge are written in Jawi script. Thus, Jawi script become one of the areas taught in the subject of Islamic Education. Based on the Jawi analysis of the mid-2018 examinations for second year students, Sekolah Kebangsaan Seksyen 19, showed that 56% of 157 students lacked the skills to recognize and write connecting and non-connecting character. This finding shows that some students are ignorant and incompetent in the Jawi ways of connecting. As a result, Jawi-AR Apps which is a smartphone application that integrates Augmented Reality (AR) technology has been developed with the aim of helping to improve Jawi characters’ connecting knowledge and skills in keeping with digital technology in today’s society. In conclusion, this apps can help provide early exposure and interest of students to learn Jawi and provide self-learning.