bluuebunny/crossref_metadata_2025_split huggingface dataset:
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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.