bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi Agent System (MAS) for Bus Driver Duty Reassignment in the Event of Late for Second Piece of Work (LSPW)
Authors: Mansor Nur Farraliza , Shibghatullah Abdul Samad , Hussin Amir ‘Aatieff Amir , Chit SM , Eldabi Tillal 
Published: June 2020

Abstract
Unforeseen (abrupt, sudden, unanticipated, unexpected) incidents (UI) are events that occurs without notice causing interruptions to public transport services. In the operation of bus services, one of the sources of UI are bus drivers. For example, if a bus driver comes late for his/her duty it delays scheduled departures thereby causing a ripple effect on the entire schedule. There are three types of driver lateness that are; Late for First Work (LFFW), Late for Break (LFB), and Late for Second Piece of Work (LSPW). This paper will only discuss the possible solution for a LSPW event. When a LSPW happen, the predefined schedule remains the same however the duty needs to be reassigned to another driver that is available. Currently, a supervisor at the bus depot uses a manual way to complete duty reassignment and there are no automated ways of reassignment. Manual duty reassignments are slow and prone to errors. The objective of this paper is to propose an automated duty reassignment in the event of a LSPW using Multi-Agent System (MAS). MAS is dynamic, able to adapt to varying situations and quick at finding solutions through negotiation and collaboration between the agents. Experiment were conducted using the AgentPower simulation tool. The results concluded that the proposed technique is effective for duty reassignment in the event of LSPW.
Performance of Nine-Level Transformerless Photovoltaic Powered Inverter (TPVPI) Using Technique of Equal Maximum Phase Delay Time
Authors: Irwanto M. , Gomesh N. , Ismail B. , Alam H. , Masri M. , Kusuma B. S. 
Published: June 2020

Abstract
A simple inverter is constructed by some switching components that connected in half bridge or full bridge circuit. The switching component can be a metal oxide semiconductor field effect transistor (MOSFET), transistor or insulated gate bipolar transistor (IGBT) which is driven by simple technique of pulse wave modulation (PWM). This technique generates a square alternating current (AC) waveform but it is still AC pulse wave with rich harmonic production and it is not good for the long life of electric devices. A multilevel inverter is better than the previous inverter. Some techniques have been developed to generate multilevel inverter for main objective to generated AC waveform toward sinusoidal waveform and reduce the harmonic. Also, an inverter is constructed by a transformer which is big in size and produce losses and it can increase the harmonic. This paper presents a nine-level transformerless photovoltaic powered inverter (TPVPI) system using technique of equal maximum phase delay time. It is constructed by two main elements. The first is photovoltaic (PV) module as a main direct current (DC) voltage source and the second is four full bridge circuits in cascaded connection. The proposed technique is that each two MOSFETs for cross position in the same full bridge have a same pattern of pulse wave for the period of 0.02 s. It has a phase delay time of 0.00111 s for generating the nine-level AC waveform.
Review of Human Joint Monitoring Devices: Conventional vs. Optical Fibre based Sensors
Authors: Salim G M , Zawawi M A 
Published: June 2020

Abstract
Health monitoring devices are highly demanded in order to determine patients’ health condition, to monitor the health recovery progress, and to help the physiotherapist during rehabilitation period of a patient. This paper is focused on knee joint assessment devices and technology implementation. Knee joint angle measurement devices includes many devices such as accelerometer, electro-goniometer, torsiometer, acoustic, visual sensory, and optic fibre. There are several limitations to these technologies which require improvements. Many of the existing techniques and technologies are becoming conventional and there is a need to identify and to explore better methods to enhance the limitations of existing devices. The need of technologies with higher accuracy, reliability, and lower cost have always been a crucial factor. In this paper, a study of conventional and latest technologies are reviewed, and suggested to further explore the implementation of optical fibre based technology for the above-mentioned application. Optical fibre device has faster response, better accuracy, lighter in weight, lower cost, and is not effected by external physical variable such as electromagnetic waves as compared to conventional sensors.
Uncovering the Needs for a Hybridized Interaction Design Model for Sign Language Learning Through Experts’ Feedback
Authors: Aziz Nurulnadwan , Omar Azizah Che , Mutalib Ariffin Abdul , Ahmad Siti Zulaiha , Muin Mohd Adib , Annamalai Subashini A/P 
Published: June 2020

Abstract
Nielsen’s and Molich’s design guidelines have been famously adapted in studies related to the design of interactive products, including for learning environment, and for hearing-impaired learners. In current situation, the learning materials for hearing-impaired learners are lacking in terms of positive interactions that promote two-way communication, partly because they do not apply appropriate design principles appropriately for the users. This affects their stimulation in learning activities. Hence, this paper aims at uncovering the current design principles applied in learning materials for learning sign language for the hearing-impaired learners. Besides an elicitation of literature, a semi-structured interview with the experts in hearing-impaired curricula has been carried out. It reveals that a study needs to urgently be carried out in proposing a heuristics design model that is specifically able to evoke the positive learning experience.
Bibliographic analysis of BIM Success Factors and Other BIM Literatures using Vosviewer: A Theoretical Mapping and Discussion
Authors: Al-Ashmori Yasser Yahya , Othman Idris , Rahmawati Yani 
Published: June 2020

Abstract
Building Information Modelling (BIM) is a new technology in the construction industry to form a collaboration platform for effective communication and improve productivity and efficiency. Many researches have been published investigating BIM success adoption and implementation, challenges, risk, and barriers. However, there has been no systematic study analyzing the Bibliographic of these studies as a tool to explore a research gap in BIM implementation. This study is aimed to synthesize previously published papers on BIM and propose a new method for identifying success factors for effective BIM implementation by analyzing BIM-related journal articles published from 2009 to 2018. The main feature of this research methodology is the provision of a critical review of the literature and theoretical mapping for bibliometric analysis. As a result, limited articles have been dedicated to study the effective BIM implementation. This research paper has proposed a new useful method to be adopted for identifying success factors for effective BIM implementation.
Discharge analysis of EDM pulse generator
Authors: Dehghani D , Yahya A , Khamis N H 
Published: June 2020

Abstract
Electrical discharge machining (EDM) is a non-conventional manufacturing process used broadly in medical applications, aerospace industry and manufacturing in hard material fields. However, information about the process is still in an unfledged stage and it has been becoming a serious obstacle to its more improvements. In this paper, spark discharge condition is studied based on the simulated model of EDM spark pulse generator system equivalent form. Simulated model is verified by comparing with a series of experimental results. Frequency response is established through simplified model of EDM system. Influence of discharge time and stable discharge current on material removal rate (MRR) and stability of the system is analysed. This study is important to select the process parameters, and uses as a guidance to design the EDM spark pulse generator system.
Micro-Crack Formation of Surface Texturing using Electrical Discharge Machining On S24C Mild Steel Material with an Inclined Angle towards Biomedical Application
Authors: Hashim Nor Liyana Safura , Yahya Azli , Abdullah Mohd Azahar Che 
Published: June 2020

Abstract
Surface texturing is a distinct identical feature of discrete dimples or grooves on a surface. In a biomedical application such as hip implant, it has been proven that these dimples can enhance the tribological properties of journal bearings. Realizing the advantages offered by Electrical Discharge Machining (EDM), it was utilized in this research to machine the dimples for the Metal-on-Metal hip implant application. In this research, three sets of inclined angles of 50°, 70°, and 90° were machined on the S24C mild steel material using EDM with pulse currents of 1A, 2A, and 3A. This research focuses on micro-crack formation along the edge of the surface of the dimple after EDM machining, which is critical in a contact sliding bearing.
Ultra-High-Performance Fiber-Reinforced Concrete an Alternative Material for Rehabilitation and Strengthening of Concrete Structures: A Review
Authors: Nursyamsi Nursyamsi , Tarigan Johannes , Abu Bakar B.H. , Hardjasaputra Harianto 
Published: June 2020

AbstractUltra-High-Performance Fiber-Reinforced Concrete (UHPFRC) is a more powerful concrete material compared to the conventional concrete. With its low permeability level, UHPFRC possesses an exceptional durability. Therefore, it is strongly recommended as a material for rehabilitation and strengthening for concrete structures. In addition to its performances, UHPFRC also holds superior mechanical properties, including compressive strength, split tensile strength, ductility and workability. In general, UHPFRC dimensions are categorized to be thinner than the conventional concrete, making it as an advantage of UHPFRC application. However, since all fine and coarse aggregates in the conventional concrete are replaced with very fine aggregates, UHPFRC is unable to be fabricated considering its availability in certain location. To date, researches on UHPFRC as a reinforced material have developed significantly, covering the discovery to increase the compressive strength, flexural strength, high bonding strength, durability and thickness. The aim of this paper is to review previous findings of UHPFRC to be utilized as conventional concrete repair material.
Preparation and Characterization of Grease using Used Cooking Oil and Used Engine Oil
Authors: Ong Huei Ruey , Iskandar Wan Mohd Eqhwan , Goh Choon Phang , Hong Chi Shein , Khan Md. Maksudur Rahman , Mohamed Mohammad Khairul Anuar 
Published: June 2020

Abstract
Used engine oil (UEO) and used cooking oil (UCO) are treated as hazard to human health and the environment. A proper management of them are necessary to prevent its adverse impacts. This study is to examine the potential of UEO and UCO used as raw material in preparing grease. UEO and UCO has the potential in replacing the base fluid (mineral oil) and thickener precursor, respectively in conventional grease making. The thickener has been prepared by using calcium hydroxide and sodium hydroxide to react with UCO with the ratio of 1:2 (hydroxide: UCO) and denoted as calcium and sodium thickener, respectively. In grease making, different concentration of thickener (20, 30 and 40%) was used to react with UEO for 180 min at 160 – 180 °C. The formation of grease is confirmed by FTIR analysis, where a new peak was form in 1377 cm−1 – 1423 cm−1. Apart from that it was found that, 20% calcium thickener with 80% UEO grease and 40% sodium thickener with 60% UEO grease were comparable with commercial grease in term of dropping point and water resistance properties.
Indicator Saturation in Autoregressive Model using gets in R: A Computational Simulation and Empirical Evidence in Shariah Compliant Index
Authors: Nasir M Azim M , Ismail Mohd Tahir 
Published: June 2020

Abstract
Structural changes is very important in analysing an economic situation such as an economic boom or recession. There has been a great demand to introduce an efficient method of detecting structural changes in a data series. One of the most recent method called step indicator saturation, uses the extension of general-to-specific modelling framework to detect the presence of structural changes. We believed from the Monte Carlo simulation results that step indicator saturation approach can also be applied to dynamic model: Autoregressive of Order One, AR(1). gets package in R provides an alternative software to Autometrics and it is outperform Autometrics in term of time processing. We apply this method to detect structural changes presence in Malaysia Shariah compliant index market and its conventional counterpart index. The results shows that, there are interdepence between Shariah compliant index and its conventional counterpart. The retained step indicators collide with global financial crisis, so this implied that Shariah compliant index does not immunized against the recession crisis.
Iron Prototype for Domestic Safety with Green Technology
Authors: Masek Alias , Amirruddin Zubair Al Hafiz , Hashim Suhaizal , Ismail Mohd Erfy , Ismail Affero 
Published: June 2020

Abstract
Electrical fault is one of the causes of fires, and its potential hazard is increasing as more electrical appliances were found in each household unit nowadays. This is due to the number of fire cases arising from electrical appliances (i.e., iron), whereby the existing iron system unable to automatically turn off when idles for more than 30 second and missing green technology characteristics. Thus, the purpose of this project is to develop a smart iron prototype with security features and energy saving properties. The main objective of this project is to develop intelligent smart iron prototype using vibration and temperature sensor to get input for an automatic control. The Design Thinking Model was used to guide the development process through five phases namely; Empathize, Define, Ideate, Prototype and Test. The system was developed using Arduino Uno R3 microcontroller. The product testing indicated that the smart iron prototype has automatically supply cut off after 30 second without vibration and when the temperature exceeded 79 ° C to save energy. Therefore, application of this potential product could prevent major accident caused by iron and simultaneously save more energy when the iron left unattended, especially for the targeted users.
Supervised Machine Learning in Electrofacies Classification: A Rough Set Theory Approach
Authors: Hossain Touhid Mohammad , Wataada Junzo , Hermana Maman , Aziz Izzatdin A 
Published: June 2020

Abstract
Electrofacies were initially introduced for defining a set of recorded log responses in order to characterize a bed and permitted it to be distinguished from the other rock units as an improvement to the traditional use of well logs. Grouping a formation into electrofacies can be used in lithology prediction, reservoir characterization and discrimination. Usually Multivariate statistical analyses, such as principal component analysis ‘PCA’ and cluster analysis are used for this purpose. In this study Extra Tree Classifier (ETC) based feature selection method is used to select the important attributes and three distinctive electrofacies were extracted from the dendrogram plot using the selected attributes. Finally, we proposed a rough set theory (RST) based white box classification approach to extract the pattern of the electrofacies in the form of decision rules which will allow the geosciences researchers to correlate the electrofacieses with the lithofacies from the extracted rough set (RS) rules.
A Comparative Study of the Forest Fire Danger Index Calculation Methods Using Backpropagation
Authors: Hadisuwito A S , Hassan F H 
Published: June 2020

Abstract
Forest fires are one of the threats of disasters in Indonesia. Rising earth temperatures add to the higher potential contribution of forest fires. Many forest fire hazard index calculation methods have been developed to analyze the impact categories arising from changes in meteorological parameters. Each calculation method has advantages in calculating the magnitude of the potential. One method of calculating the forest fire hazard index is needed from many choices of methods that have the highest level of accuracy to predict the potential for a fire. A comparative study of the methods will be validated and guide the best calculating procedure to be implemented for the prediction. Predictions that have excellent accuracy and precision can be used as an early warning system. This study will predict forest fires for each calculation method using the Backpropagation algorithm, then analyze the accuracy of the prediction results using Relative Operating Characteristics (ROC). The methods compared include the methods that have been used in Indonesia as a country that has tropical rainforests, namely Keetch-Byram Drought Index (KBDI), Standard Precipitation Index (SPI), McArthur Forest Fire Danger Index (MFFDI), and Fire Weather Index (FWI). Through a comparative study of this calculation model, it is concluded that MFFDI is the best method of calculating the fire hazard index with an accuracy value of 0.917 and a precision value of 0.667.
A Mathematical Model for A Cladding Fastener to Estimate the Maximum Pull-Out Force Capacity
Authors: Hassani Vahid , Morris Adrian , Ibrahim Zunaidi , Abubakar Ismail , Mehrabi Hamid , O’Brien Roger 
Published: June 2020

Abstract
In the last few years, considerable attention has been paid to the roof cladding systems due to their progressive use in the construction of low-rise buildings. The design of such systems has been gaining importance since they are subjected to severe damage and failure caused by high wind events, particularly at their fastener connection points. To offer a solution for predicting the maximum pull-out force capacity of cladding fasteners, this article presents a mathematical model for a fastener made of high strength steel austenitic 316. In this model, the two basic parameters of the fastener, namely the thread depth and the thread angle are included as the main elements of the contact surface between threads and the low carbon mild steel batten/purlin sheets. This mathematical model will be proposed to estimate the maximum pull-out force capacity of the cladding fasteners made of cold-formed A2 316 stainless steel. After finding the parameters of the mathematical model by using an optimization method based on a genetic algorithm (GA), a comparison will be made between the mean estimation error of the new model and the formerly proposed ones.
Author Identification: Performance Comparison using English and Under-Resourced Languages
Authors: Tarmizi Nursyahirah , Saee Suhaila , Ibrahim Dayang Hanani Abang 
Published: June 2020

AbstractThis paper presents Author Identification (AI) task using different language which are English and Under-Resourced Languages (U-RL) (i.e. KadazanDusun and Iban). In this paper, the performance of AI task is analysed using English and the U-RL datasets in terms of accuracy. Different stylometric features and emerging machine learning algorithms (i.e. SVM and Random Forest) are examined to obtain optimal results in AI task. The approach used in AI task is based on supervised machine learning. Cross-validation is used to evaluate the performance of AI task. The findings include the performance comparison of different stylometric feature and classifiers between the three datasets based on their accuracy values. The combination of word n-grams with character 3-grams achieved the highest accuracy with almost 75% using English dataset. For classifier, SVM gained better result for all three datasets compared to Random Forest.
Multiclass Emotion Classification Using Pupil Size in VR: Tuning Support Vector Machines to Improve Performance
Authors: Zheng Lim Jia , Mountstephens James , Wi Jason Teo Tze 
Published: June 2020

Abstract
Emotion recognition and classification has become a popular topic of research among the area of computer science. In this paper, we present on the emotion classification approach using eye-tracking data solely with machine learning in Virtual Reality (VR). The emotions were classified into four distinct classes according to the Circumplex Model of Affects. The emotional stimuli used for this experiment is 360° videos presented in VR with four sessions stimulation according to the respective quadrant of emotions. Eye-tracking data is recorded using an eye-tracker and pupil diameter was chosen as a single modality feature for this investigation. The classifier used in this experiment was Support Vector Machine (SVM). The best accuracy is obtained from tuning the parameter in SVM and the best accuracy achieved was 57.65%.
Research Framework of Evaluation Model to Assess the Effectiveness of Coordination Processes in Global Software Development Projects
Authors: Subbarao A , Mahrin M N 
Published: June 2020

Abstract
Effective coordination is a vital aspect of successful Global Software Development (GSD) projects. Limited studies have examined coordination strategies and their related indicators. Therefore, this study focuses on assessing the coordination processes that require specific strategies and related indicators that can contribute to effective coordination. Thus, the main aim of this study is to present the entire research framework that will be used to formulate the Evaluation Model which consist of coordination strategies and related indicators. Research framework consists of three parts namely research philosophy, research design and research methods. Thus, this study elaborates each of this parts accordingly. The results of this study is the formulation of Evaluation Model to assess the effectiveness of the coordination processes in GSD projects.
Software module development for non-invasive blood glucose measurement using an ultra-wide band and machine learning
Authors: Islam Minarul , Min Chai Ly , Shoumy Nusrat Jahan , Ali Md Shawkat , Khatun Sabira , Karim Mohamad Shaiful Abdul , Bari Bifta Sama 
Published: June 2020

Abstract
Diabetes is a chronic disease and in uprising trend worldwide. There is no remedy, hence, blood glucose management is essential by screening blood glucose concentration levels (BGCL) regularly to maintain a healthy life. However, the present way of measuring BGCL is invasive by using a glucometer and drawing a blood sample directly from the human body. To overcome this discomfort-problem, a non-invasive device to measure BGCL is in demand. This paper presents an autonomous software module with a user-friendly graphical user interface (GUI) based on digital signal processing (DSP) and artificial neural network (ANN) to process, classify and recognize the BGL signature from captured ultra-wideband (UWB) signal through human blood medium. To capture the signal, a pair of UWB bio-antenna is placed in between the human earlobe. Received signals are captured and processed through GUI and undergo signal processing, ANN training, testing, and validation. An interface is developed to integrate the hardware (UWB transceiver, bio-antenna, etc.) and the developed software module to make a system. The initial system showed a consistent result with reliability and demonstrated 90.6% accuracy to detect the BGCL. The detection accuracy is 9.6% improved compared to existing work. Besides, this proposed system is cost-effective, user-friendly and suitable to be used by both doctors and home users.