bluuebunny/crossref_metadata_2025_split huggingface dataset:
RISK FACTOR ANALYSIS ON FIRE FIGHTER’S POSTURE WITH SCUTUM-SHAPED SHIELD INCLUDING LOAD AND THERMAL EXERTION
Authors: Hussin Mohamed Saiful Firdaus , Ahmad Mohd Nazri , Maidin Nurul Ain , Rahman Mohd Hidayat Abdul , Ali Nursabillilah Mohd , Jumaidin Ridhwan , Bakri Jufriadi , Rosli Fatin Farhana 
Published: June 2020

Abstract
Great evolution of armours went on and this led to progressive development and improvement on the design of shield, for example shields used by law enforcements. However, a flexible shield for firefighting purpose is yet to be designed and developed. The suitability of interaction between the shield and user also remained questionable. The objective of this paper is to propose a conceptual design of a shield for fire resisting purpose, considering the ergonomics factors and behavior under load exertion. The methodology used are customer survey, house of quality, morphological chart, pugh method, rula-analysis, and simulation using finite element analysis. Scutum-shaped shield has been selected with aluminium alloy 6061-T6 as the inner body material of shield, and is wrapped by the standard elastic modulus type carbon fiber. The final score of 3 in RULA analysis indicated the shield possess only low risk of Musculoskeletal Disorder. Under load exertion, von mises stress of shield reach 320Mpa once load of more than 8kN is given to the shield.
THE PRODUCTIVITY IMPROVEMENT OF HOME –MADE PRODUCTION LINE BY DEVELOPING OF SEMI-AUTO BATTER DISPENSING SYSTEM: KUIH BAHULU
Authors: Kamarul A. M. , Soufhwee A. R. , Sihombing Haeryip , Yuhazri M. Y. , Zaiton A. M. 
Published: June 2020

Abstract
The focus of this study is to improve the production system of a traditional food process. Specifically, by developing the semi-automated production line to improve the production rate of the current of kue bahulu process flow. In this study, Arena software is used to conduct the simulation towards the production line. First, identification of bottleneck problem related to the process flow of the production line. Second, development of dispensing system using SolidWorks software to design the semi-automated batter dispenser. Based on the simulation using Arena software, there were some improvement made and showed that the production line is significantly improved since the semi-automated batter dispensing installed in the system production line
Design and User Satisfaction Digital Learning Through Kelana Peribahasa
Authors: Mahmood Anis Salwani , Lah Hazlina Awang , Ghani Rosmah Abd , Rahman Mohd Nazri Abdul , Sulaiman Ismail , Mustafa Wan Azani 
Published: June 2020

Abstract

Kelana Peribahasa is a digital learning approach that includes e-learning, teaching aids, teaching and learning strategies, and assessment tools. The approach used is online learning proverbs through digital devices of smartphones, tablets, and laptops. Module Designs are available in Jom Mengenal, Jom Baca, Jom Main, and Jom Nilai. Jom Kenal is a module that is an introduction to Proverbs. Jom Baca is a module that contains a story proverbs produced by Digital Book Book. Digital Storybook which contains a proverbs story that covers Bloom’s Taxonomy Cognitive Domain (Review). Jom Main is comprised of five activities that include activities through the use of QR Code Reader and Google Cloud technology applications. Activities performed based on Bloom’s Taxonomy Cognitive Domain (Revised) level using the i-THINK thought map. The teaching and learning strategies used are the 21st-century learning approaches of 4C (Communication, Collaboration, Creative & Innovative, and Critical Thinking). It is digitally accessible and online. Assessment of activities (Jom Nilai) also through the use of online digital assessment tools. The testability of the Kelana Peribahasa is measured in terms of user satisfaction. The mean value of 4.81 for user satisfaction indicates that Permanent Discretion is desirable for digital learning. This innovation is a new change to teachers and students to realize the shift to Seven in Malaysia’s Education Development Plan [1].
Do We Need You? : The Roles of Teacher Supervisor in Embracing Industrial Revolution 4.0
Authors: Adnan Wan Ilmiwati Wan , Wahid Najihah Abd , Majid Norliana Abd , Jaafar Farah Wahida , Ismail Nor Asmawati , Wahab Noradilah Abdul 
Published: June 2020

Abstract
The 4th industrial revolution (IR 4.0) or the Industrial Internet of Things (IIoT) is characterized by the massive expansion of computation, digitalization, networking and physical processes. The so-called Industry 4.0 penetrates various industries and life domains by paving its way to the global networking system through data transmission. Thus, the emergence of IR 4.0 may change the dynamic in the teacher supervisor construct. Therefore, this conceptual paper aims to examine the teacher supervisor roles in the era of IR 4.0. Hence, a conceptual framework is proposed to identify critical roles played by teacher supervisor which should be retained in embracing IR 4.0. Findings indicate that supervisor’s roles in providing professional conference, encouragement for reflection and emotional support should remain.
Investigating Digital Library Success using the DeLone and McLean Information System Success 2.0: The Analysis of Common Factor based Structural Equation Modeling
Authors: Afthanorhan Asyraf , Foziah Hazimi , Majid Norliana Abd 
Published: June 2020

Abstract
In many years, libraries from government universities spent a vast amount of investment to subscribe to various digital resources such as online reputable publishers, journals, online databases, books, monographs, and other resources for information storage. However, prior studies reported that the utilization of digital library is remain lacking though online libraries were able successfully find the necessary information. This is confirmatory study to model and investigating the determinant of user satisfaction of a digital library system. A research model was adopted from an existing model as Delone and McLean Information system success 2.0. Data were collected using cluster sampling technique. A total of 353 usable questionnaires were used for empirical study purpose. The results showed that Information Quality is the strongest effect in contributing the user satisfaction followed by the quality factors (System Quality and Service Quality). In additions, the Preacher & Hayes approach was used for testing the indirect effect. From this approach, partial mediation was occurred in all effects. Briefly, the behavioural intentions are greatly influenced by the quality factors and Information System.
Measuring School Climate in the Era of Industrial Revolution 4.0: A Statistical Analysis
Authors: Arifin Raihan Mohd , Teh Kamarul Shukri Mat , Zakaria Rosdi , Rahim Baidruel Hairiel Abd , Majid Norliana Abd , Ismail Nor Asmawati , Wahab Noradilah Abdul 
Published: June 2020

Abstract
School climate is a key factor in shaping a student’s identity. The fourth industrial revolution has been a hot topic in addressing today’s student challenges. Today’s reality shows that human resource development is a major focus of organizations in addressing environmental change. Social problem symptoms are often caused by demotivate environment among secondary students. The school climate has a great impact on student self-esteem. This is not only for oneself but for the organization as a whole, including humanity and the unity of ummah. The main objective of the study is to investigate the influence of school climate on student self-esteem based on the strategies and practices used at the school. This quantitative approach employs survey design using questionnaire as a research instrument. A total of 368 respondents from religious secondary schools were tested using descriptive and inferential statistics. The correlation between variebal physical enviroment, community and leadership were tested. The study found that school climate has a significant impact on student self-esteem. Then regression analysis was used to predict the contribution from each variebal. The contribution of this study is obvious as the resulting outcomes can be capitalized as guidelines as the level of student achievement influence by high school climate implementation. Therefore, school climate studies should be conducted in order to establish a concept that can be used by all types of schools in Malaysia to create a good identity. The implications of this study are to shape the good generation who are ready to complement their individual capabilities in addressing the challenging industry 4.0 challenges.
Mobile Technology in Enhancing Students’ Higher Order Thinking Skill
Authors: Ahmad Mazlina , Mansor Noor Rohana , Sung Cho Min , Rashid Roswati Abdul , Abdullah Nurul Ain Chua , Zakaria Rosdi , Azmy Sharipah Nur Mursalina Syed 
Published: June 2020

Abstract
21st Century learning requires a lot of skills that students need to have. One of them is the technology literacy skills and High Order Thinking Skill (HOTS). Cognitive skills in technology literacy are based on the use of digital technology to manage information, communication tools or networks to ensure a person’s success and function in society. Many researchers pointed out that mobile technologies in general and mobile phones in particular play a fundamental role in both teaching and learning process. Today, the application of mobile technology is widely promoted in the national education system. Therefore, this paper is a concept paper aimed at discussing the capabilities of mobile technology in improving students’ HOTS based on findings from previous studies. The literature review is based on publications from 2015 to the present. It is hoped this study can be used to benefit the educators while integrating the mobile technology in their teaching and learning, and to improve the HOTS in line with current developments.
Pedagogical And Social Issues Of Technology In Teaching And Learning; A Review
Authors: Awang Rosliza binti 
Published: June 2020

Abstract
This article aims to look at pedagogical issues and social issues arising in connection with the use of technology in teaching and learning today. Suggested learning environments that include learning strategies, learning theories, learning activities, learning designs and delivery platforms have been proposed by researchers to meet the 21st century learning that emphasizes active involvement of students, active learning, fun learning and collaborating with peers, sharing information with other partners, creative thinking and critical thinking as well as self-directed learning among students are also discussed. Implementation of ICT in the teaching and learning process of pupils will not only provide students with the stimulus to learning, but will also increase their academic interest and achievement.
A Hybrid Artificial Bee Colony Strategy for t-way Test Set Generation with Constraints Support
Authors: Alazzawi Ammar K , Rais Helmi Md , Basri Shuib , Alsariera Yazan A. , Balogun Abdullateef Oluwagbemiga , Imam Abdullahi Abubakar 
Published: June 2020

Abstract

t-way interaction testing is a systematic approach for exhaustive test set generation. It is a vital test planning method in software testing, which generates test sets based on interaction between parameters to cover every possible test sets combinations. t-way strategy clarifies the interaction strength between the number of parameters. However, there are some test sets combinations that should be excluded when generating the final test set as a result of invalid outputs, impossible or unwanted test sets combinations (e.g. system requirements set). These types of set combinations are known as constraint’s combinations or forbidden combinations. From existing studies, several t-way strategies have been proposed to address the test set combination problem, however, generating the optimal test set is still open research being an NP-hard problem. Therefore, this study proposed a novel hybrid artificial bee colony (HABC) t-way test set generation strategy with constraints support. The proposed approach is based on a hybrid artificial bee colony (ABC) algorithm with a particle swarm optimization (PSO) algorithm. PSO was integrated as the exploratory agent for the ABC hence the hybrid nature. The information sharing ability of PSO via the Weight Factor is used to enhance the performance of ABC. The output of the hybrid ABC is a set of promising optimal test set combinations. The results of the experiments showed that HABC outperformed and yielded better test sets than existing methods (HSS, LAHC, SA_SAT, PICT, TestCover, mATEG_SAT).
A Systematic Review Of Bring Your Own Device (BYOD) Authentication Technique
Authors: Jamal Fara , Taufik Mohd. , Abdullah Azizol Abdullah , Hanapi Zurina Mohd. 
Published: June 2020

AbstractThis article provides a systematic review of Bring Your Own Device (BYOD) authentication technique. The review main goal is to identify the existing BYOD authentication technique and to categorize the technique according to BYOD security threat as well as to analyze the technique limitation. The review result shows that there are 25 authentication techniques proposed across both industry and academic areas to fit into BYOD implementation to enhance the security in preventing and detecting data leakage in the organization. It is hoped that the proposed BYOD authentication solution can help organizations to minimize the number of cases in data leakage while allowing the BYOD concept.
Analysis of Surface Crack using Various Crack Growth Models
Authors: Akramin M R M , Marizi M S , Husnain M N M , Shamil Shaari M 
Published: June 2020

Abstract
This research focusing on fatigue crack growth experiment and assessments of fatigue crack growth model. Fatigue has been considered as the most important phenomena in the engineering problems. It has been found to occur in every engineering field. Many methods were introduced to overcome fatigue problem. One of it is fatigue crack growth prediction models. Fatigue crack growth model prediction can determine the residual life of the mechanical component. Fatigue crack growth is an important parameter in engineering. It may begin from undamaged area and propagate afterwards. In this case, a mechanical component condition before an unstable crack still can be used until fatigue. With the study of fatigue crack growth, it can predict the crack life of the component and can reduce cost to repair the component. In this thesis, primary objective is to develop, test and provide computational fracture mechanics model that emphasized an uncertainties quantification for surface crack. Fracture and failure study that has been promoted by S-version finite element method is focus on the analysis of the surface-crack problem. In this project, a few limitations of the study have been implemented as to present a specific scope of the investigation. Both fatigue crack growth model is considered; Paris law model and modified Forman model. The specimen in this analysis is aluminium al 2024 T3. The effect of load on the fatigue crack growth rate is investigated on aluminium 2024 T3. It is concluded that modified Forman has a low exponent compared to the Paris law. Further the crack growth prediction based on modified Forman is lower than Paris law. Paris law only can predict the crack in the region II while modified Forman can predict the crack in region II and III. After finish setup the project based on the instruction, the project is proceeded and the data is collected. The result is analysed based on the objective by using data collected from the project. After that, conclusion is made based on the result of the project.
Brain Controlled Wheelchair: A Smart Prototype
Authors: Awais Muhammad Ahsan , Yusoff Mohd Zuki , Yahya Norashikin , Ahmed Sheikh Zeeshan , Qamar Muhammad Umair 
Published: June 2020

Abstract
EEG has been largely used in both clinical and research applications. Brain computer interface (BCI) system is one of the major EEG research applications which can provide a new way of communications for special users who cannot communicate via normal pathways. This paper focuses on the development of the brain controlled wheelchair which incorporates two additional control interfaces including joystick and a remote control through an android phone. All three controls are integrated in such a way that it allows the user to change the mode of control by simply changing the state of the slide switch. This work utilizes the Neurosky Mindwave Mobile headset to capture the EEG signals through a single channel placed at the FP1 position. Eye blinks and attention levels are the key features of the captured EEG that are extracted and identified through an android application. The design also assimilates ultrasonic sensors based safety system which is capable of detecting the obstacles in all four directions to ensure the safety of the user.
Bringing intelligence to IoT Edge: Machine Learning based Smart City Image Classification using Microsoft Azure IoT and Custom Vision
Authors: Ali Omer , Ishak Mohamad Khairi 
Published: June 2020

Abstract
Object detection, identification and classification techniques have seen many variants and improvements over past two decades. Together with Internet of Things (IoT) devices, improved computational algorithms and cloud support, real-time classification with low-cost devices has already been achieved. This paper discusses the real-time object detection and classification using Microsoft Custom Vision multi-class Machine Learning (ML) model operating at the Edge of IoT network. This paper further examines the use of virtual dockers or containers at the IoT edge devices for better security and isolation by decoupling physical hardware as well that supports multiple applications and services on a single hardware. The experiments are performed using emulated and simulated IoT devices on Microsoft Azure IoT platform for real-time object classification using Custom Vision Machine Learning (ML) models run directly from the edge device. The experimental results are further discussed to validate the model accuracy and its implementation in a future Smart City surveillance environment.
Classification of functional and non-functional requirement in software requirement using Word2vec and fast Text
Authors: Tiun S , Mokhtar U A , Bakar S H , Saad S 
Published: June 2020

Abstract
One of the needs in adopting a crowdsourcing approach in software requirement system (SRS) is to be able to perform text analytics to gain insight or knowledge from the crowd’s feedback. One of the expected text analytic tasks is to be able of analyzing the feedback automatically; such as, whether the feedback concerns about the functional requirement (FR) and non-functional requirements (NFR). To automatically do the FR and NFR identification, one can treat the problem as a text classification task. Performing automatic identification requires features (word representation) that contain sufficient information which can be used to do the identification. Thus, the types of features can be considered as an important step in performing automatic identification of FR and NFR. In this study, the RE’17 dataset challenge is used as the dataset. Using the dataset, we will like to find out the effect of word embedding against traditional features (such as bag-of-words) in NFR and FR classification. In addition, we also want to find out whether is necessary to use a complex neural classifier to obtain the best performance of NFR and FR classification. Based on the obtained results, using fastText seems to be the promising classification model since the model obtained the highest Fl-score of 92.8%.
Design and Developments of Thermal Control System of Electrosurgical Unit via Sensor Based on Thermometric Techniques
Authors: Abdullah Ali Idham , yahya Azli , Rava Mohammad , Swee Tan Tin , Idris Norhalimah 
Published: June 2020

Abstract
Electrosurgery has been regarding as one of the top forms of surgical interventions. This technology allows surgical procedures to be performed with high accuracy using high-frequency energy waves in order to cut organic tissue. Although there are a lot of benefits to this form of surgery, there are also dangers that originate due to the thermal nature of the procedure. Some of these issues relate to the thermal damge that can be caused by the ESU. Thus, in order to address this issue, this research proposes to use thermal sensors that can sense and read temperature fluctuations, and then by manipulating the ESG, to control the thermal output and ultimately prevent any thermal adamage to the tissue. An experiment is performed using chicken as the main tissue and experimenting with and without the controller. The results of the experiment indicated success, and that the proposed thermal control system can regulate the power and the temperature with the use of the thermal monitoring systems it has in place. The damage observed on the tissue has been observed to be little to none.
Drivers of Value Management Implementation in Building Projects in Developing Countries
Authors: Othman Idris , Kineber A F , Oke A E , Khalil Natasha , Buniya M K 
Published: June 2020

Abstract
Value management (VM) has become an accepted approach in the past decade, using tools and methods that have been ordinarily understood. VM is often subjected to time and res ource pressure. The determination of the possible critical success factors (CSFs) of VM in the building projects in developing countries is an essential matter to success these projects. This study identified 34 factors and drivers to adopt VM in the construction industry. This was achieved through qualitative approach by conducting interviews with fifteen experts with substantial years of experience in building projects. Results revealed that some new factors appeared in the Egypt context that have not existed in previous studies. These factors can aid the adoption of VM practices in the building projects in the Egypt construction industry. The findings thus represent the true reflection of the VM drivers in Egypt, and their recommendations effectively encourage the adoption of VM by Egypt and also other developing countries, as they face similar problems and need similar drivers in promoting the adoption of VM in the building industry when building projects are carried out in similar method, and style.
Feature Selection-Based Artificial Intelligence Techniques for Estimating Total Organic Carbon from Well Logs
Authors: Rahaman Md Shokor A , Vasant Dr. Pandian M. , Jufar Dr Shiferaw R. , Watada Junzo 
Published: June 2020

Abstract
For shale oil and gas exploration total organic carbon (TOC) is the significant factors where TOC estimation considered as a challenges for geological engineers because direct laboratory coring analysis is costly and time consuming. Passey method and Artificial Intelligence (AI) technique have used on well logs extensively to determine TOC content. But, the prediction of Passey method is low and AI technique such as ANN, Support Vector Machine (SVM) trapped in local optima, overfitting and heavy computation work or error if the technique isn’t reasonable. In this paper, for the first time in TOC prediction we propose three feature selection-based algorithm which are Decision Tree (DT), Gradient Boosting Regressor (GBR) and Random Forest (RF) respectively. This feature selection-based algorithm select the best attributes among the input parameters for TOC content prediction. Then those best attributes works as an input for AI models for training and testing the AI models which illustrates that making a correlation between well logs and TOC content for the prediction. Specifically, 2069 core shale sample and well logging sample data of the Texas University Lands of Kansas Geologic Society were divided into 1448 training sample and 621 validating sample to evaluate the proposed AI models. This proposed AI model and feature selection-based algorithm jointly allows TOC content to be accurately and continuously predicted based on conventional well logs.